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Program for 2017 IEEE International Conference on Consumer Electronics (ICCE)
Sunday, January 8
Sunday, January 8, 08:30 - 09:00
Sunday, January 8, 09:00 - 10:10
K1: Keynote + Opening. 360° Immersive technology, how will you be transported right there, in person, instantaneously. Patrice Roulet (immervision.com)
The consumer devices of tomorrow are evolving beyond capturing classic pictures and videos. The lenses of yesterday are narrow and restrictive. New generation of super wide angle lenses capture our surroundings in full 360°, allowing our friends and families to step inside our universe and experience it, live.
Qualified as a most social platform by some and a game changer by others, this new generation of 360°/VR devices will impact the way people express themselves, share moments, and enjoyed unlimited unique experiences.
As example, we have seen off the shelf smartphones easily turning to virtual reality headsets. Next gen smartphones will become a gateway to your full immersive environment, enabling from the same device: 360° Virtual Reality capture, instantaneous sharing and immersive live experiences allowing us to share our world, our live, our feelings and our emotions.
This is the tip of the iceberg. Social media and app developers are yet to unlock the full potential of immersive 360° technologies. Its potential is only limited by our imagination. Starting from professional TV broadcast and movie cameras scaling up to our day to day consumer devices such as smartphones, this talk will explore a near future where we will never miss the unique feeling to be there.
Sunday, January 8, 10:10 - 10:30
Sunday, January 8, 10:30 - 12:10
- 10:30 Improving Performance of Dual-Polarized MIMO Ultra-Multilevel OFDM Under Mobile Reception
- The reception characteristics are improved by proposed MIMO-ICI canceller using iterative detection for dual-polarized MIMO ultra-multilevel OFDM under mobile reception.
- 10:50 Pattern Gain Based Compact 4-port Antenna for WLAN System
- For VR/AR service, it is necessary to obtain high throughput in wireless local access network (WLAN). Conventional multi-port antenna is not appropriate for WLAN devices due to space constraints of the WLAN device. Meanwhile, it is possible to obtain multiplexing gain by achieving pattern gain. However, previous antennas with pattern gain have not been designed for the WLAN devices. In this paper, we designed a compact 4-port antenna for the WLAN device, which is 0.5 times smaller than the conventional antenna. We also show that the proposed antenna obtains close multiplexing gain compared to ideal antenna in poor channel cases.
- 11:10 Performance Evaluation of Satellite Broadcasting Using SC-OFDM for 4K/8K Transmission
- In this paper, performance of satellite broadcasting using SC-OFDM(Single Carrier-Orthogonal Frequency Division Multiplex) modulation for 4K/8K transmission is evaluated by computer simulations. As the results, it is possible to increase the transmission rate against the required Carrier to Noise Ratio.
- 11:30 Modified Nonrecursive Comb Decimation Structure
- TThis paper presents the nonrecursive comb decimation structure for the decimation factors which are the power of five. As a difference to CIC (Cascade-Integrator-Comb) structure which is area efficient, a nonrecursive structure is a power efficient. However, this structure has a low attenuation in the folding bands (bands around the zeros of comb filter), which can deteriorate the decimated signal. We proposed a modified structure in which a simple multiplierless filter is inserted in the last stage. The proposed method is based on exploiting the properties of the system function of the convolution of a comb filter with itself.
- 11:50 Massive MIMO for Dynamic Spectrum Access
- This paper proposes the application of massive MIMO, combined with millimeter (mm)-wave technology, in dynamic spectrum access (DSA) systems. In the proposed system, secondary users transmit together with the primary users, while using beamforming to control interference. Simulation results show significant performance gains compared to traditional DSA due to increase of antenna numbers. Such system can be used under both line of sight (LOS) and scattering channel conditions.
- 10:30 Projection-Based AR Book System Involving Book Posture Detection and Robust Page Recognition
- We propose comfortable AR book system. Our book detection method realizes projection onto books even when user holds a book. Furthermore, book page can be accurately recognized even in above mentioned situation.
- 10:50 Webized Augmented Reality Mashup for Legacy Things
- Although Internet of things devices are attractive to make our life smart, we need to replace existing equipment to IoT devices for connecting things and it causes a cost problem. We proposed a webized augmented reality mashup for legacy things that connects existing web services and the things without additional costs for replacement of existing equipment.
- 11:10 MOSKIT: Motion Sickness Analysis Platform for VR Games
- This paper introduces MOSKIT, a motion sickness analysis platform for VR gaming content. Software developers will be able to significantly reduce MS without looking to hardware for updates. The paper has investigated three known main contributors to motion sickness: system configuration, device orientation, and interaction among objects.
- 11:30 Enhanced Player Interaction Using Motion Controllers for VR FPS
- Goal of virtual reality (VR) is to increase the realism and user experience. In order to achieve these goals, we analyze the existing solutions and design and propose a new method of user interaction for a first person shooting (FPS) game prototype. In our FPS prototype, wearing a head mounted display together with two motion controllers, we design the player interaction using both hands to operate in-game firearms and mimicking shooting action in real-world. Additionally, we make use of one of the trending and free game engines in order develop a run-able game prototype.
- 11:50 Effective Display Resolution of 360 Degree Video Footage in Virtual Reality
- 360 degree video entertainment is one of the major applications of the emerging technology of virtual reality. However, the success of immersive video is impeded by the limited effective display resolution of 360 degree footage. In this paper we present a general methodology to assess resolution loss during the projection process and therefore help to design novel 360 video systems.
- 10:30 Fast Semantic Region Analysis for Surveillance & Video Databases
- The importance of real-time surveillance video monitoring has increased recently in response to heightened security concerns. For real-time implementations, it is important to develop surveillance systems with low computational complexity. Here, we analyze the complexity of our semantic region labeling approach which aims to extract spatial contextual information in a video. In our approach, besides color and texture, also the vertical position is taken into account as part of a gravity-based model. We demonstrate that our system provides low computational complexity while maintaining a high accuracy which makes the system suitable for real-time implementation in embedded video surveillance.
- 10:50 JPEG 2000 Compression of Unfocused Light Field Images Based on Lenslet Array Slicing
- This paper proposes an algorithm for lossy compression of unfocused light field images. The raw light field is preprocessed by demosaicing, devignetting and slicing of the raw lenset array image. The slices are then rearranged in tiles and compressed by the standard JPEG 2000 encoder. The experimental analysis compares the performance of the proposed method against the direct compression with JPEG 2000, and JPEG XR, in terms of BD-PSNR gain and bit rate reduction. Obtained results show that the proposed method outperforms direct application of the reference state of the art image encoders.
- 11:10 Building Recognition with Adaptive Interest Point Selection
- In this paper, we propose an improvement of image retrieval for building images using the Bag of Words (BoW) model. The principles consists of pre-processing the interest points detected on the images in order to classify them into two classes, corresponding to building and no-building key points. In this way, the data involved for comparisons is reduced to only the relevant one and only the features describing the buildings are taken into account. The experimental results, carried out on the Paris6k data set shows significant improvement in terms of retrieval performances.
- 11:30 A Novel Intelligent Video Surveillance System Based on Embedded Devices
- Intelligent video surveillance has attracted extensive interest due to the great market demand. In this paper, we present an intelligent video surveillance system, which uses an hardware-oriented foreground detection algorithm based on Mixture of Gaussian model. The surveillance system with an intelligent board can realize 7 different monitoring tasks in real time, such as intrusion detection. In order to improve the detection accuracy, we use an object size detection threshold to eliminate the interference of some irrelevant moving objects in dynamic scene. The experiment results prove that our system has good performance of tolerating the interference of shadows, ripples, etc.
- 11:50 Software Upgrade of Multi-Streaming Feature in Common Interface plus V1.4
- The paper specifies software upgrade of the multi-streaming feature in CI+ V1.4 as an innovative extension to the CI+ V1.3 specification, which is the industry standard for access to protected TV channels in set-top-box devices. The purpose of this paper is to introduce software upgrade of the resources in previous version of CI+ V1.3 with the multi-streaming functionality of some resources in the new version of CI+ V1.4, in a simple manner in order to enhance capabilities of the previous version of CI+.
Sunday, January 8, 12:10 - 12:25
Sunday, January 8, 12:25 - 13:30
A recent VR First survey with the participation of academic institutions around the world shows the high interest of academia in teaching VR development but the lack of infrastructure to realize their goal. Universities cannot provide students with VR development hardware to apply theoretical skills, nor do they have prepared a curriculum to teach practical VR development skills. VR First is facilitating an industry cooperation to support universities in their goal of VR education by providing facilities, equipment, skills, mentorship and a network to empower innovation and realize the existing spin off potential.
VR First believes that every developer should have the opportunity to access to high-end VR infrastructure to develop the most immersive VR applications of the future.
In this session, it's going to be discussed how to empower students and developers with the skills and network to succeed in the VR industry.
Sunday, January 8, 13:30 - 15:10
- 13:30 LED Projection Module Enables a Vehicle to Communicate with Pedestrians and Other Vehicles
- This paper propose the road illuminating system using the LED Projection Module in which the system projects image information on a road surface that enables communication between human and cars in order to reduce pedestrians' fatal accidents at night.
- 13:50 Software Framework for Runtime Application Monitoring of Fail-Safe Multi-Processor ADAS SoCs
- In Advanced Driver Assistance (ADAS) systems, it is very critical to ensure a system malfunction does not cause harm to humans (also referred to as functional safety). Malfunctions could be due to incorrect software (SW) execution. Many techniques exist to catch systematic SW faults during development. However without run-time monitoring, it is impossible to guarantee a fail-safe system. In this paper, we describe a framework to monitor application statistics in heterogeneous multiprocessor SoCs targeted for fail-safe ADAS systems. With <0.5% CPU load overhead per monitor, the proposed framework was found to accurately report statistics for a front camera analytics application.
- 14:10 Monitoring of a Driver's Heart Rate Using a Microwave Sensor and Template-Matching Algorithm
- A method of monitoring a driver's heart rate using a microwave sensor on a seat backrest is proposed. The heartbeat signal was learned as a template while the car engine idled. This template was used to calculate correlation between observed signals. The proposed method amplifies a weak heartbeat signal and reduces road noise. A basic experiment was conducted on an actual road at low speed. The proposed method detected the heart rate with accuracy exceeding 85% relative to heart rates measured with a contact-based system.
- 14:30 In-Vehicle CAN FD Network for Smart Wearable Devices
- In this paper, we present an in-vehicle Controller Area Network with a Flexible Data-Rate (CAN FD) bus controller for smart band-type wearable devices. The CAN FD is suitable for in-vehicle communication networks that require high reliability and high data transmission rates. The CAN FD controller system supports variable data length transmissions for wearable devices. The CAN FD controller receives data from the Audio Video Navigation system through the Serial Peripheral Interface and successfully transmits the data to the CAN FD bus.
- 14:50 Detection and Tracking of Overtaking Vehicle in Blind Spot Area At Night Time
- The many detecting and tracking in behind blind spot algorithm use a method based on edge feature information at day time. However, it is not suitable at night time since the edge feature is not obvious. In this paper, we propose the algorithm that use a headlight information. first, generate a blob by making a binary image using threshold and calculate a motion vector to estimate overtaking blobs. and then, make a projection map to specific headlight's 2 light blobs. finally, track the headlight by using calculated motion vector.
- 13:30 An Improved Design of an Automatic Detection Balance Tray with an Accelerometer, Four Servo Motors, Four Force-Sensitive Resistors and an MCU Expansion Board
- When an user props up the tray while walking the tray often vibrates and liquids may splash out. This proposal is an improved design of an automatic detection balance tray (ADBT) by using a triaxial accelerometer module, four force-sensitive resistors (FSR), four servo motors, four LEDs, and an MCU expansion board. The triaxial accelerometer module detects the tilt angle of the tray. The MCU expansion board controls the four servo motors which are utilized to balance the tray. The four FSRs in the tray will sense the carried item positions and the four LEDs will show the weight position.
- 13:50 Examination of Suppression of Stray Light of Small PM2.5 Sensor
- We develop a light-scattering-type PM2.5 sensor. We devised a light absorption unit with an inclined photodetector for auto power control. We confirmed that the light absorption unit suppressed the increase of stray light in the sensor using both optical simulations and experiments.
- 14:10 Touched Image Transmission of a High Resolution Touch Panel Using MIPI CSI-2 for Kiosk Applications
- This paper presents high-speed image data transmission using MIPI CSI-2 interface for high-resolution touch panels. On MIPI CSI-2, if there are errors, the receiver notices these errors to upper-layer including application layer. Error-handling is a duty of application layers. In this case, touch response increases consequently. In this work, we added error handling path to low-level protocol layer. In addition, to compensate for signal attenuation due to increasing transmission distance, the adaptive equalizer using FVC(frequency-voltage converter) was applied to the receiver. The proposed architecture was tuned with 800Mbps that transfers data of 800x600 high resolution panel less than 10ms.
- 14:30 An Embedded 6-axis Sensor Based Recognition for Tennis Stroke
- This paper proposes a product that could send back information about the tennis stroke in real time. This product, consisting of sensor module, controller module and transmission module, is embedded in tennis handle. There are three steps for stroke recognition. Firstly, shot detection uses fluctuation of acceleration based on moving windows. Secondly, sensor data are used to divide those shots into 3 stroke types (forehand, backhand, serve). At last, information about how the ball rotates would be acquired. The experimental result shows high accuracy for motion recognition with 98% accuracy for shot detection and 96% accuracy for stroke recognition.
- 14:50 A Secure Framework for Digital Quran Certification
- This paper presents a digital Quran certification framework by utilizing modern digital authentication and certification techniques to certify and authenticate digital Quran applications available in multimedia format. A certification authority and a religious panel scrutinize the certification process and upon fulfillment of all the requirements, a digital certificate is issued to the digital Quran application developer. A general consumer of the service can easily verify the issued digital certificate in an online manner. The presented framework aims at diminishing the chances of modifying digital contents of the holy book for its consumer's belief and trust.
- 13:30 Towards an Optimized Multiview Streaming System with View Interpolation
- We present an approach to optimize the transmission of multiview video over bandwidth limited channels. The main idea is to optimize the number of transmitted views by choosing a set of views to be reconstructed at the receiver using view interpolation, removing them from the stream and encoding the remaining views with a higher quality. We have shown that this approach makes sense especially in cases where the channel is very restricted. With further evolution of view interpolation algorithms, the threshold at which our method improves image quality rises quickly and can be applied to a wider range of scenarios.
- 13:50 Using Pupillary Response to Assess Video Quality
- Pupil response can be measured non-intrusively using an eye tracker and offers a potentially new approach to understanding video structure and content. An analysis of pupil response to quality variations in a video is reported in this paper. Experiments were conducted under free viewing conditions and pupillary response of subjects was analyzed. Video clip encoded with AVC/H.264 at various qualities and durations were used to assess user response. Results show pupillary constrictions at points of quality transitions.
- 14:10 Adaptive Feature Selection Based on Local Descriptor Distinctive Degree for Vehicle Retrieval Application
- Performing image retrieval in large image database is becoming popular. ISO/IEC moving pictures experts group (MPEG) drafts compact descriptors for visual search (CDVS) to support the related applications. In this paper, we adopt CDVS to address traffic vehicle search in large database. After detailedly analyzing to the local descriptor, we firstly define local descriptor distinctive degree based on the gradient quantity and the spatial gradient distribution energy of the feature. Then we propose our adaptive feature selection method by combing feature distinctive degree and priori information. The proposed method is proven to be better than the standard algorithm in CDVS.
- 14:30 Low-light Image Enhancement Using Variational Optimization-based Retinex Model
- This paper presents a low-light image enhancement using variational-based Retinex algorithm. The proposed enhancement method first estimates initial illumination and its gamma corrected version to constrain the illumination component. Next, the variational-based minimization is iteratively performed to estimate reflectance and illumination simultaneously. Finally, the color assignment method is performed to the estimated reflectance component to restore the color component using the input RGB color channels. Experimental results show that the proposed method can provide better enhanced result without saturation, noise amplification and color distortion.
- 13:30 Autonomous Robotic Street Sweeping: Initial Attempt for Curbside Sweeping
- Toward autonomous street cleaning, we present our recent development of autonomous robotic street sweeper. The developed system is aimed at autonomous cleaning with low cost hardware. In this work, a commercialized manual brush sweeper is robotized and equipped with two fish-eye cameras for environmental sensing.
- 13:50 Advanced Technical Communications for ESL Engineers and OoI
- This talk is an excerpt of IEEE CEU Course ID: 103645 on Advanced Technical Writing and Presentation. It is designed for English-as-a-Second-Language (ESL) Engineers and Others of Interest (OoI). This talk was offered in the Global Conference on Consumer Electronics (GCCE-2015) in Osaka, Japan; the International Conference on Consumer Electronics, ICCE-Taiwan-2016;¬¬ and twice at the National Central University in Zhongli, Taiwan, in February and June, 2016, respectively. Feedback from participants has rated the course at 97% satisfaction. Demonstrations with grammatical subtlety, cultural difference, cognitive style, and logical thinking are shown with graphical illustrations to breakdown the language barrier.
- 14:10 Characterization of Teen SNS Usage in Entertainment Media
- This research studies the portrayal of teenagers' use of SNS (social networking sites) within entertainment media. It is found that approximately 62% and 68% of SNS usage is dedicated to communication in the television shows Scream: The TV Series and Awkward, respectively. The findings, on a grander scale, drive the importance of media literacy, empower individuals to control their personal narrative, and address myths about teens and SNS use.
Sunday, January 8, 15:10 - 15:50
Sunday, January 8, 15:50 - 17:30
- 15:50 The Semantic Mediation for the Swarm: An Adaptable and Organic Solution for the Internet of Things
- This paper presents the architecture of the Mediation Service, which is a service being proposed to support interoperability in the Internet of Things and Swarm ecosystem. Mediation uses semantics and this paper presents strategies for service discovery using semantics. A software architecture is presented and results in a solution to generate a matching degree of service requests and services being offered.
- 16:10 A Support Tool to Design IoT Services with NuSMV
- In this paper, we developed a support tool to design IoT services and proposed a model checking method with NuSMV. With our tool, we can model an IoT service as an agent-oriented Petri net PN2 (Petri nets in a Petri net) and simulate their state transitions. Then the tool generates a description of the model and CTL or LTL specifications to verify properties automatically. NuSMV shows a trace of counterexample if the property is not satisfied. We also illustrated its usefulness with an application example of drone delivery system and considered scalability.
- 16:30 Smart Umbrella for Safety Directions on Internet of Things
- The smart umbrella not only blocks a rain but also provides a variety of services to customers. Existing smart umbrellas have various features such as giving an alarm for raining and a loss prevention. In this paper, we propose new smart umbrella that guides the way to the destination on rainy days, collaborating with smartphone based on the IoT environment. It prevents to safety accident which occurs due to operating the smartphone for navigating. Also, it provides a convenience to customer according to self-navigating.
- 16:50 Virtualization of Residential IoT Functionality by Using NFV and SDN
- We propose to leverage the virtualization possibilities of Network Functions Virtualization (NFV) together with the programmability of Software Defined Networking (SDN) in order to offer a portfolio of IoT-related functions to the residential users. The objectives are to reach economies of scale by offering a reasonably inexpensive customer premises equipment supporting most IoT physical communication options, whereas all self-discovery and the rest of vendor-specific functionality is externalized and implemented by the ISP (Internet Service Provider) or third parties.
- 17:10 A Threat to Mobile Devices From Spoofing Public USB Charging Stations
- USB charging stations contain potential threats. We build a threat model for spoofing the charging stations. We verified a spoofing attack that allows the attacker to peep passwords and manipulate an iOS device using USB devices and cables. We devise a countermeasure model for safe charging.
- 15:50 SECURE QUERY PROCESSING in CLOUD NoSQL
- This paper proposes a holistic security scheme so-called "SecureNoSQL" for leveraging secure querying over encrypted cloud NoSQL databases. The contributions of this paper are; (1) Introducing a novel descriptive language for regulating security parameters; (2) Designing a secure proxy for enforcing security plan on data and query/response.
- 16:10 MIST: Mobility-Inspired SofTware-Defined Fog System
- Softwarization approaches in networks, storages, M2M, services, and smart things aim to optimize costs and processes and bring new infrastructure definitions and functional values. A recent integration of wireless and mobile cyber physical systems with the dramatically growing smart sensors enables a new type of pervasive smart and mobile urban surveillance infrastructures, which opens up new opportunities for boosting the accuracy, efficiency, and productivity of uninterrupted target tracking and situation awareness. In this paper, we present a design and prototype of a mobility-inspired efficient and effective fog system using software-defined control over mobile and wireless environment (MIST).
- 16:30 Prediction Based Dynamic Resource Provisioning in Virtualized Environments
- Paper presents an intelligent decision maker to trigger VM migration in such a way that it avoids performance interference effects due to migrations. It predicts the future workload for early detection of overloads and accordingly triggers the migration. It models the migration procedure to calculate performance and interference parameters which are used in the decision of selecting VM for migration. Experimental results shows that it improves performance by 45%-50% and 25%-30% for network intensive and cpu, memory intensive workloads respectively compared with traditional system. It improves performance by 35%-40% for network-intensive and 15%-20% for CPU, memory-intensive workloads compared with Sandpiper.
- 15:50 A Real-Time Emergency Rescue Assistance System for Mountaineers
- This paper proposes a mountaineering-assisted wearable device and emergency rescue system architecture which comprises wearable devices, a mobile device application software, and a backstage management platform. This architecture can effectively prevent mountaineering accidents, guide mountaineers, and inform relevant units so that they can offer emergency rescue as soon as possible.
- 16:10 The Smart Shoes Providing the Gait Information on IoT
- This paper proposes the smart shoes system classifying a normal, out-toeing, and in-toeing gait to provide the gait information to customer. It measures and analyzes the gait posture using the distribution of pressure sensors on the insole. It sends the gait information to the smartphone application using a BLE communication. The experiment was performed to test the accuracy of proposed system. Finally, this paper showed that proposed system can measure the accurate gait posture.
- 16:30 Real-time Mental Stress Detection Based On Smartwatch
- In this work we propose a real-time monitoring of mental stress during different cognitive tasks. Different level of stress is classified processing Galvanic Skin Response (GSR), RR Interval and Skin Temperature (ST) acquired by a commercial smartwatch. The unobtrusive system proposed is validated through clinical psychological tests.
- 16:50 Emergency Warning and Bidirectional Communication via Digital Audio Broadcast
- Digital broadcast has been proved to be the most efficient way to provide messages after heavy disasters where all the communication networks may be damaged. This paper reports several new techniques for Digital Audio Broadcast (DAB) to enhance its ability in emergency warning. A novel bidirectional multimedia communication method between two DAB transmitters is also reported. Government in disaster area can use the local DAB transmitter to communicate in multimedia with the outside. These techniques may find a new application area for the DAB system.
Sunday, January 8, 18:00 - 21:00
Monday, January 9
Monday, January 9, 08:30 - 09:00
Monday, January 9, 09:00 - 10:00
K2: Keynote. Electrostatic Discharge (ESD) Protection of Low-Voltage Consumer Electronics: Challenges and Solutions. Juin J. Liou (University Central Florida)
There has been a wide spread use of integrated circuits in consumer applications. For example, due to the huge market of civil wireless communications, low-voltage integrated circuits are in high demands. To ensure the reliable daily use of these electronics, development and implementation of robust and effective ESD structures which operate within a very narrow ESD design window and with a minimal loading effect (i.e., high transparency) are required. Unfortunately, a set of constraints and challenges must be overcome before such ESD protection solutions can be realized.
A brief overview on the ESD protection guidelines, schemes and testing will first be given in this talk. This is followed by presenting various ESD designs aimed for meeting the stringent ESD requirements imposed by the modern CMOS and emerging FinFET technologies. Challenges and solutions pertinent to this objective will be emphasized and addressed.
Monday, January 9, 10:00 - 10:30
"Have you ever wondered how interesting - or boring - audiences find your presentations?
Do you think in the 21st century that the "facts will speak for themselves"? Think again, the biggest impact in a presentation for most listeners comes from the delivery of the content. If you are going to be an effective presenter, you need to know how to make an impactful presentation.
Whether you need to convince other scientists, grant agencies, investors, bosses or potential employees, this YPs seminar is your chance to gain frank feedback from the audience. On the other side of the podium, audience participants will learn by counter-example how to communicate and persuade effectively.
Selected speakers will present a 10 minutes version of a conference paper, a technology idea or a business start-up proposal to a group of their peers as well as industry professionals. Their presentation will be judged by the audience who will have an opportunity to express their opinions using flying toy animals!
- Design Scheme of a Passive Intermodulation Distortion Finder for Common Feeder Cable in In-building
- This paper presents the design scheme of a passive intermodulation distortion (PIMD) finder in order to find out the birthplace of PIMD which is introduced by sharing a feeder cable in in-building wireless multi-band networks. To this end, a frequency-modulated continuous-wave (FMCW) signal generation module and a fast Fourier transform (FFT)-based signal processing module are implemented to figure out the exact PIMD occurrence point. By improving the common feeder cable conditions with the timely PIMD detection, mobile consumer devices are expected to be well operated in in-building without call drop due to the PIMD.
- SDN-based Distributed Mobility Management for 5G
- Distributed mobility management (DMM) is an attractive approach to address the mobile traffic explosion problem, and thus it is perceived as a promising technology for mobility management in 5G. In this paper, we propose a software-defined networking (SDN) approach for DMM (denoted by SDN-DMM). Unlike the existing approaches for DMM (i.e., network-based or terminal-based), SDN-DMM implements the location and handover management functions at the centralized SDN controller while the packet forwarding function is fully distributed at access routers. Therefore, SDN-DMM can achieve the packet forwarding path optimization and provide significant benefits in terms of network and traffic management.
- The Design of Non-AS Signaling for Multi-Rats Traffic Steering
- Different types of 5G services scenarios impact on 5G network architecture to support multi-RATs such as 5G Rats, WiFi, and fixed network optimized for requirements of different services. Therefore, new signaling architecture between Consumer Electronics (CE) and Core Network (CN) in a 5G system needs to be designed for optimizing the coordination among different access networks. We propose the design of non-AS signaling architecture between CE and CN through multiple access networks to support various types of services in 5G and beyond.
- Antenna Allocation Scheme for Full-Duplex Communication in IEEE 802.11ac WLAN
- We proposed an antenna allocation scheme for a full-duplex communication in IEEE 802.11ac WLAN. In the proposed scheme, an access point (AP) with multiple antennas finds the optimal number of the antennas for transmitting and receiving signals to maximize the sum capacity of the uplink and downlink transmissions. We carry out a simulation and show that the proposed scheme can improve the sum capacity in the full-duplex wireless networks.
- Delay Oriented VR Mode WLAN for Efficient Wireless Multi-User Virtual Reality Device
- In order to enhance user experience of Virtual Reality (VR) devices, multi user VR environments and wireless connection need to be considered for next generation VR devices. Wireless local area network (WLAN) is a popular wireless consumer device which can provide high throughput and can be installed with low cost using unlicensed band. However, WLAN may cause delay in packet transmission due to its distributed nature in channel access. In this paper, feasibility of wireless VR over WLAN is carefully examined and an efficient multi user VR communication scheme using the next generation WLAN is proposed for multi-user VR services.
- Mutual Exclusion Strategy in a Cloud-of-Clouds
- In this paper, we propose a mutual exclusion strategy for concurrent accesses in a cloud-of-clouds. The proposed strategy includes an atomic operation for cloud-of-clouds, a deadlock recovery method and a race condition control method.
- Scheduling Optimization for M2M Communications in LTE-M
- One of the major challenges for Machine-to-Machine (M2M) paradigm is the capability to scale to a larger number of connected devices and to provide ultra-low delay communications in order to meet future Internet of Things (IoT) requirements. In this paper, we study the performance of LTE-M protocol in terms of delay, throughput and bandwidth utilization. Next, we propose a novel scheduling mechanism for LTE-M to support M2M communications. The ultimate goal is to optimally allocate the resource blocks to different users in efficient manner in order to maximize the usage of the available bandwidth and reduce communications delay.
- Performance and Security Oriented Software-Defined Network Interface Design
- Owing to the growing trends in network bandwidth, the network packets of such applications may need complex processing. The standard network interface does not perform any advanced processing for the packets of these applications. Although hardware acceleration module can improve the performance, it lacks the flexibility. This work proposed a Software-Defined Network Interface (SDNI) to define the hardware behavior by software. Four action modules in the SDNI are provided to support the processing of network packets. The experimental results show that this work can ensure the security of data transmissions, and can reduce by the time consumption of encryption 45.19%.
- A Comparison of ESPAR-MIMO and LMA-MIMO for Single-RF Transmission of Spatially Multiplexed QAM Signals
- By use of electronically steerable parasitic array radiators (ESPAR) antenna and load modulated array (LMA) antenna, single-RF MIMO transmission has been proposed to support spatially multiplexed QAM signals with the benefits of hardware complexity, size and cost. In this paper, we compare our LMA-MIMO with ESPAR-MIMO in terms of the dissipated power, circuit stability, and bit error rate performance. Owing to both pure reactance and phase control loading as well as self-matched impedance loading, we show that the LMA-MIMO outperforms the ESPAR-MIMO by reduction of 52~81% in power consumption and 5.8~41.6% in BER without any problems of the circuit oscillation.
- Moving Object Detection in the HEVC Compressed Domain for Ultra-High-Resolution Interactive Video
- Pixel-domain techniques are too computationally complex for automatic object tracking in ultra-high resolution interactive panoramic video. Therefore, this paper proposes a fast object detection method in the compressed domain for High Efficiency Video Coding. Evaluation shows promising results for optimal object sizes.
- Realistic Pre-Visualization Based on Color Characteristics of 3D Printer
- Realistic pre-visualization method based on the color characterization of devices and the surface texture rendering using a spectral lighting model and a bump map is proposed to improve 3D printing process.
- Application of Low-Frequency Ultrasonic Communication to Audio Marker for Augmented Reality
- In augmented reality (AR), image markers are widely used for rendering virtual objects. However, the performance for image markers strongly depends on the lighting environment and the distance between the image marker and a camera. Therefore, we propose an audio marker-based AR application using low frequency ultrasound (LFU) communication. The proposed method consisted of forward error correction (FEC) coding and windowed differential phase shift keying (DPSK) modulation in order to make the proposed method robust over the noisy channel.The successful transmission rate (STR) performance of the proposed system was measured according to the various distances and azimuths under noisy conditions.
- Automated Dance Motion Evaluation Using Dynamic Time Warping and Laban Movement Analysis
- We present in this paper an automated dance evaluation method based on dynamic time warping and Laban movement analysis. Our method can evaluate pose similarity, timing accuracy and stylistic quality. We validated our methodology using 400 dance fragments with varying proficiency levels, and achieved 97% accuracy.
- Prediction Sit-to-Stand Movement Using Trunk Angle and Lower Limb EMG for Assist System
- In this study, we propose a estimation method of sit-to-stand movement for assist system. The proposed method enables to estimate sit-to-stand before the buttocks leave the seat. To clarify the accuracy of the proposed method, we conducted evaluation experiments to determine whether sit-to-stand or other movement. The evaluation results of the proposed method on five subjects showed that the movement was estimated with an average accuracy exceeding 95%. Furthermore, we developed a sit-to-stand motion assist system with proposed method.
- A Real-Time Heartbeat Estimation System Using PPG signals
- The heartbeat is one of essential information on wearable health care devices. The photoplethysmogram (PPG) is usually used to estimate the heartbeat from the wrist. An accurate heartbeat estimation is very difficult due to motion artifacts. The motion artifacts are caused by periodic hand swings or instant contact errors between the PPG sensor and skin. In this paper, we propose a heartbeat estimation system with a finger based PPG sensing in real-time for wearable devices.
- Physical Layer Security Based on Coded FTN Signaling for Premium Services in Satellite Digital Broadcasting System
- This paper proposes physical layer security technology based on non-orthogonal FTN signaling for advanced satellite digital video broadcasting system. Because the FTN signaling adopts greater symbol rate than Nyquist rate, the FTN signaling is interrupted by unavoidable ISI. The proposed technique encodes the ISI values of FTN signaling for transmission signal. The encoded ISI values operate as a security scheme for the transmission signal. Furthermore, the non-orthogonal FTN scheme offers higher spectral efficiency than general communication system. In this letter, the coded FTN-based physical layer security scheme is adopted to the DVB-Sx system and the performance evaluation is performed.
- Privacy Concerns on Android Devices
- Smartphones have become conduits for our most personal information and data. When one wants to install an app on their device, they have to allow the apps to access their camera, internet, location etc. This can lead to privacy issues and affect the user privacy. For example, granting privileges to location leads to tracking the user through their phone. In this paper, privacy issues of android system are discussed. A number of conventional and some more unusual challenges to our individual privacy are identified and discussed.
- Personal Authentication Method Against Shoulder-Surfing Attacks for Smart Phone
- We propose a personal authentication method against shoulder-surfing attacks for smartphone using secondary channel which is information transmitted to user only. Security level and usability of the proposed method is evaluated
- An Implementation of Network Computing Testbed System on Open Source Virtualized Cloud
- Virtualized cloud infra have been increasing gradually due to the cost savings and operational efficiency. Virtualization technology has spread to all areas of ICT such as application and network not limited just computer resources as cloud computing environments are common. We implemented network computing testbed system on virtualized cloud in this paper. With this system, user (DevOps) can develop and experiment with a variety of virtual network functions on their own virtual network in fast cycle.
- Architecture for Fast Object Detection Supporting CPU-GPU Hybrid and Distributed Computing
- This paper describes architecture for fast object detection that integrates uniform local binary patterns (ULBP) with convolutional neural networks (CNN). The proposed architecture also supports CPU-GPU hybrid and distributed computing based on the Hadoop distributed computing platform considering large-scale image big data.
- Auto Generation System of MPEG-V Motion Sensory Effects Based on Media Scene
- There is a method for producing 4D media for 4D rider media or a 4D cinema by providing a 3D effect after producing a general 2D image or adding an sensory effect to 3D media generated through a 3D camera. In this paper, we propose a technology for generating sensory effect metadata for providing a media-based sensory experience, more particularly to a technology for generating sensory effect metadata corresponding to tilting, rotation, zoom-in, zoom-out, camera-moving and camera-rotation of objects included in media.
Monday, January 9, 10:30 - 12:10
- 10:30 An Insightful Write Buffer Scheme for Improving SSD Performance in Home Cloud Server
- Nowadays, home cloud server uses SSD as its main storage due to the positive characteristics of the SSD such as high performance and low energy consumption. But, the frequent fsync calls generated by software platforms of the home cloud server negatively affect I/O performance and lifespan of the SSD, because it generates massive random-write traffic. This paper introduces a smart SSD model which efficiently reflects write requests to the storage, with process-aware flush operation. Experimental results show that our SSD model reduces response time and the number of writes by up to 12.6% and 17.9%, respectively, compared with conventional SSD.
- 10:50 Range Extension of LED Control Systems Using a Bluetooth Mesh Network
- In this paper, we propose a new method to extend the handling ranges of LED device control systems using a Bluetooth mesh network. We apply the mesh network concept to the LED devices control systems for increasing the Bluetooth communication ranges. The proposed method is to send data between devices through Bluetooth for increasing the controlling range. Hence, we have tested the available communication ranges and transfer rates from device to device. The experimental results proved the validity and applicability of the proposed method.
- 11:10 iHAC: Smart Appliance Controller Using AR Technology
- Smart home appliances have become popular, and many controller applications are available for smartphones and tablets. However, users must properly use controller applications according to their various communication protocols and distinguish operable appliances only by obtainable character information. This paper proposes a smart appliance controller, one that can control smart appliances without being aware of differences in communication protocols, and its essential framework, namely "iHAC" (intuitive home appliance control). With the proposed controller, users can control smart appliances intuitively by using not only character information but also a video image displayed by an augmented reality technology.
- 11:30 A Novel Intelligent Mechanism for Monitoring in Wireless Sensor Networks
- One of the main fundamental problems in designing a sensor network is to detect and locate their positions. Hence, sensors can be utilized for data collection in order to detect and organize the objects of interest. In this paper, we present a novel mechanism for object localization and detection in protected areas and surveillance zones. The goal of the proposed approach is to enhance area supervision and localize objects efficiently in wireless sensor networks.
- 11:50 DCF: Dynamic Cluster Flow Architecture for SDN Control Plane
- Software Defined Networking is considered as the new telecom revolution. Within SDN the control plane acts as the brain of the network and should be designed in the most efficient manner. In this paper we propose a novel architecture to deploy the controllers in a SDN based network. We distribute the controllers into clusters which are managed dynamically by a super controller. We develop a load balancing algorithm to avoid overloaded controllers and prove that our solution outperform the existing ones in term of complexity.
- 10:30 Interactive Sticker System with Intel RealSense
- We present an interactive sticker system, which can detect user's face expression and gesture to stitch the corresponding image to the face or replace the background picture with Intel RealSense depth camera. The proposed system combines both facial expression detection and finger count detection in the same time to realize the respond for expression change and the command that the user gives the camera simultaneously. The proposed system also provides drawing and image saving function, so users can paint directly on the picture by hand and then save the image using a different gesture.
- 10:50 Spatial Augmented Reality Meets Robots: Human-Machine Interaction in Cloud-based Projected Gaming Environments
- Augmented Reality (AR) is expected to change the way we play, by transforming the world around us in an incredibly rich gaming environment. In this work, connected robots and natural interaction means are combined with projected AR to create a gaming experience more physical and engaging.
- 11:10 Accelerating Vector Graphics on Low-End Device
- In this paper, we present an efficient vector graphics rendering algorithm which is suitable to use on low-end device. To enjoy high performance vector graphics on low-end device, our algorithm must satisfy two folds; i) providing parallel rendering scheme, ii) removing redundant computations. To do so, we propose BSP Tree-based vector graphics rendering which provides a good solution in such situation. Experimental result shows that our scheme outperforms prior art about 2-times fps in high resolution.
- 11:30 Multimedia Experience Enhancement Through Affective Computing
- The aim of this work is to offer multimedia access (i.e. video queue and playlist) based on affective aspects of the interaction. In particular, the biosignals gathered from a commercial smartwatch are processed to propose an unobtrusive video classification based on users emotions. The validation performed allows to find a relation between the biosignal and the reported affective experience obtained using the Self- Assessment Manikin (SAM).
- 11:50 Film-Type Bendable Vibrotactile Actuator for Mobile Games
- In this paper, we propose a new wave-shaped eco-friendly PVC gel, and a new flexible and bendable vibrotactile actuator that could easily be applied to wearable electronic devices. An experiment for measuring vibrational amplitude was conducted over a wide frequency range. The experiment clearly showed that the proposed vibrotactile actuator could create a variety of haptic sensations in wearable devices.
Monday, January 9, 12:10 - 13:30
Monday, January 9, 13:30 - 15:10
1.11: T7.1-Energy Management in CE Infrastructure, Systems & Devices: Applications Related to Energy in CE
- 13:30 Auto Charging Platform and Algorithms for Long-distance Flight of Drones
- The limited battery capacity of drones has been restricted their flight distance severely, reducing the applicability of the drone technology. The paper proposes an auto charging platform infrastructure and flight algorithms including auto landing to overcome such a problem. Everything was successfully implemented and tested.
- 13:50 An Energy-Efficient Task Scheduler for Mobile Web Browsing
- In this paper, we propose an energy-efficient task scheduler for mobile web browsing, which provides lower CPU resources for non-critical web browser threads. In experiments on an off-the-shelf mobile device, our proposed task scheduler saves average system-wide energy consumption by 8.2%, compared to the conventional task scheduler, without performance degradation.
- 14:10 LED Electronics, Harmonic Issues and Augmenting Standards
- This paper presents a comprehensive analysis of the harmonics generated by the driver circuitry of reputed international brands of energy efficient LED (Light Emitting Diode) lamps. The paper explains how the proper selection of the combination of LED lamps by the consumers can help reduce the harmonic emissions. This also deliberates the importance of phase angle of each harmonic component in managing the harmonic emissions and how it could be a useful tool for driver circuit manufacturers as well as the Standard developers.
- 14:30 Communicating Thermostats as a Tool for Home Energy Performance Assessment
- Communicating thermostats (CTs) can provide a stream of home data (e.g., room temperature and HVAC status) to participating utility companies. We show how these data can be used to estimate physical home parameters that represent such major categories of home energy performance as wall insulation, air infiltration and HVAC efficiency. The estimation is based on a coarse-grained physics based modeling technology that connects weather data and household thermal comfort preferences with CT data through these parameters. The proposed method is scalable and can be automatically applied to numerous households to identify home improvement opportunities.
- 14:50 Algorithm Design for Life Event Sensor on Field Data
- Life event sensor is expected as an activity recognition sensor to give actionable information about residents' daily lives. We constructed a long-term data collection system and a simulator for power line to design the sensor in practical level. An algorithm for detecting uses of devices was designed and evaluated on the three-years field data and the experimental data elicited from these tools.
- 13:30 Active Panoramic VR Video Play Using Low Latency Step Detection on Smartphone
- This paper introduces the use of walk-in-place interface to actively control the speed of 360-degree panoramic VR videos. Low latency step detection algorithm is implemented on smartphone and the effect of using it to control 360-degree VR videos is evaluated with respect to the amount of simulator sickness and presence in the environment felt by the users. Results are compared with passive interface of watching panoramic VR videos. Our WIP interface is shows significantly better results in terms of simulator sickness but no significant difference is observed for presence. The paper concludes with limitations and future work.
- 13:50 HoVR-Type: Smartphone as a Typing Interface in VR Using Hovering
- We propose a text entry method for VR, using the smartphone and its hovering function, called the HoVR-Type. The hovering function effectively acts as the finger tracking sensor thereby allowing the user to type in the virtual space. When added with the additional phase to correct the initial touch input and having the final key entered upon the finger release, the proposed method showed competitive performance to that of the conventional "aim-and-shoot" method and also exhibited much higher usability. HoVR-Type also showed a significantly faster speed of input for the individual character. However, it remains to improve the interface with regards to reducing the error. Overall, the use of the smartphone leverages on the already established mobile user experience and can be further extended to other VR interaction techniques so that one can use the common smartphone as an all-purpose VR interaction device.
- 14:10 Reorienting Viewpoint with Respect to Body Pose for 360 Degree Videos in Confined Space
- In this paper, we present a functionality of resetting the viewpoint into the 360 degree video relative to the user's body pose. Such a functionality can improve the usability of the 360 degree videos in terms of reducing excessive movement, thereby reducing fatigue and more usable in the public setting. Two variant methods are proposed and compared to the baseline case (no resetting possible) in terms of usability and content understanding. In both methods, the user can select a particular direction and associated view, then turn the body to a nominal direction and apply the reset. In method 1, the video stops (screen going to black momentarily) in between these actions, while in 2, the video continues. The Method 1 was found to be the viable method for viewpoint recalibration for casual viewing in a constrained public setting that can minimize excessive physical movement, yet not much different from the baseline case (freely rotate in 360 degrees) in terms of sickness, disorientation and content understandability.
- 14:30 Tourists' Experience of Virtual Reality Applications
- Virtual Reality (VR) has enjoyed a significant upswing of interest from researchers and businesses generally but also specifically from the tourism sector. However, qualitative research on tourists' experience of VR applications is scarce. Therefore, the present study aims to explore tourists' experience of VR using the Lake District National Park as a case study. 35 VR experiments and interviews with tourists were conducted and analyzed using thematic analysis. Findings show a positive attitude towards the use of VR in the tourism context as tourists were fully immersed in the experience which appeared to influence their behavioral intention to visit the destination in the future.
- 13:30 An Efficient Spherical Video Sampling Scheme Based on Cube Model
- Virtual reality (VR) is rapidly arising in various fields. Spherical panoramic video, instead of 3-dimensional (3D) modeling, provides immersive and omnidirectional views in a much more convenient way. However, state-of-art video encoding techniques are not fit for spherical videos. In traditional ways, spherical videos are often projected onto a plane or a cube for the convenience of encoding, but mapping quality and encoding efficiency are not considered. In this paper, a Cube-Snyder (CS) projection is proposed, along with a gradually-varied sampling method, to generate panoramic video, with which visual quality is improved and a more uniform pixel distribution is obtained.
- 13:50 A Novel Burn-in Potential Region Detection Method Using Image Processing Technique
- The organic light emitting diode (OLED) display has been widely adopted to various multimedia devices. However, the luminance degradation of the OLEDs, called burn-in, is still one of the major problems. This paper presents a method of detecting the burn-in potential region (BPR) to alleviate the luminance degradation. First, in order to extract the burn-in potential pixels (BPPs), we calculate the remaining lifetime of OLED of each pixel. Then, the BPRs are detected by the level set based image segmentation using the BPPs as the seed points. The experimental results demonstrate that the proposed method detects BPRs with superior effectiveness
- 14:10 Deep Learning for Facial Expression Recognition: A Step Closer to a SmartPhone That Knows Your Moods
- By growing the capacity and processing power of the handheld devices nowadays, a wide range of capabilities can be implemented in these devices to make them more intelligent and user friendly. Determining the mood of the user can be used in order to provide suitable reactions from the device in different conditions. One of the most studied ways of mood detection is by using facial expressions, which is still one of the challenging fields in pattern recognition and machine learning science. Deep Neural Networks (DNN) have been widely used in order to overcome the difficulties in facial expression classification.
- 14:30 An Enhanced Fractional Motion Estimation Algorithm for HD Video
- Motion estimation (ME) consumes most of the time and power in HEVC and H.264. This paper evaluates Fractional Motion Estimation for HD Videos if applied along with Signature Based Fast Motion Estimation (FME) algorithm. A comparison of Fractional Fast Motion Estimation (FFME) vs Enhanced Fast Motion Estimation (EFME) assuming they have similar computation complexity, hence power consumption. The main purpose is improving the image quality for the same power consumption or equivalently reducing cost and power for the same quality in handheld devices performing ME. The algorithms used are an extension to one of the most efficient algorithms - HMDS.
- 13:30 Determination of Threshold for IR Image by Using PICA with RBF Neural Network
- This paper is about determining the threshold for a gray scale IR image. At first, Pixel Intensity Clustering Algorithm (PICA) is used to have the center for the Radial Basis Function (RBF) neural network. PICA clusters the image into a defined number. Every group has a centroid which has been used as RBF neural network center. The output of the every hidden neuron is weighted according to the desired output requirements and the neural network output will be a threshold value for the regarding gray scale image. The simulation result shows the validity of our proposed algorithm.
- 13:50 Real-Time Automotive Street-Scene Mapping Through Fusion of Improved Stereo Depth and Fast Feature Detection Algorithms
- The real-time tracking of street scenes as a vehicle is driving is a key enabling technology for autonomous vehicles. In this work we provide the basis for such a system through combining an improved advanced random walk with restart technique for stereo depth determination with fast, robust feature detection. The enables tracking and mapping of a wide range of scene structures which can be readily resolved into individual objects and scene elements. Thus it is practical to identify moving objects such as vehicles, pedestrians and fixed objects and structures such as buildings, trees and roadside kerb
- 14:10 Intelligent Safety Information Gathering System Using a Smart Blackbox
- This paper presents an intelligent way to collect the safety information using the widespread blackbox system. Conventionally, when information is needed after an accident or crime happened, investigators seek for possible clues non-systematically. We propose a systematic method of gathering that information using an intelligent blackbox system which analyzes and gathers information of neighboring vehicles while driving. For this purpose, we add a recognition engine to extract and record the license plate number and color of neighboring vehicles. We also add the IOT functionality to receive information request message from the server and upload the matched information to the server.
- 14:30 Real Time Structure From Motion for Driver Assistance System
- Understanding of 3D surrounding is an important problem in Advanced Driver Assistance Systems. Structure from Motion (SfM) is well known computer vision technique for this purpose. Inherent complexities of the SfM pose different algorithmic and implementation challenges to have an efficient enablement on embedded processor for real time processing. This paper focuses on highlighting such challenges and innovative solutions for them. The proposed SfM solution which performs Sparse Optical Flow, Fundamental matrix estimation, Triangulation, 3D points pruning consumes 42% of EVE and 10% of DSP for 25 fps processing at 1MP image resolution on TDA3x which is TI's ADAS Soc.
- 14:50 Efficient Object Detection and Classification on Low Power Embedded Systems
- Identifying real world 3D objects such as pedestrians, vehicles and traffic signs using 2D images is a challenging task. Some approaches use hand coded object features such as HOG, Haar, SIFT with a linear classifier such as SVM, AdaBoost to detect objects. Recent developments have shown that a deep CNN classifier can learn the object features on its own and also classify at an accuracy surpassing human vision. In this paper we implement object detection using HOG features and AdaBoost classifier followed by object classification using CNN. The approach is implemented on TI's low power TDA3x SoC.
2.9: IEEE Standards Activities: 3D Body Processing (3DBP) Technology Accelerating the Immersive Consumer Experience
Monday, January 9, 15:10 - 15:50
- Low-cost Interpolation Method with Minimizing Jagging Artifacts for Mobile Devices
- A low-cost image interpolation method is proposed to reduce jagging artifacts for mobile devices. When the images are magnified, the proposed method utilizes the edge-preserving interpolation and outperforms the conventional one while restraining the blurring and jagging for one-pixel edge components.
- Packet Loss Visibility for Higher Resolution Video on Portable Devices
- A comparison between H.264 and HEVC codecs' robustness to packet loss finds that the less efficient codec is less affected by packet loss, after adjustment for coding gain. The findings will be of interest to those designing portable devices that can display up to 4kUHD video.
- Fast Intra Mode Decision by Estimating the Lower Bound on the Rate-Distortion Cost for HEVC
- To reduce encoding complexity of HEVC intra encoder without loss of quality, this paper proposes fast intra mode decision by estimating the lower bound on the rate-distortion cost. Experimental results show the encoding time can be reduced by 22.4% on average without RD performance loss.
- Fast Sample Adaptive Offset Parameter Estimation Algorithm Based on Early Termination for HEVC Encoder
- This paper presents a fast SAO parameter estimation algorithm for high efficiency video coding encoder. The proposed algorithm decides the best SAO parameters earlier by exploiting spatial correlation between SAO types. From the experimental results, it achieves 56.02% time-saving with 0.26% bitrate increase, compared to HM16.9 under common test condition.
- Frame-rate Conversion Method by Linear-filtering Interpolation Using Spatio-temporal Contrast Compensation
- We propose a frame-rate conversion method from 24 to 120 fps to broadcast digital cinema video for future broadcasting. The proposed method uses a frame interpolation method by linear-filtering interpolation using contrast compensation in consideration of spatio-temporal contrast sensitivity of the human vision system.
- Design of a Home-Video Self-Making Framework Based on Dynamically Mashup Personal Media
- With the proliferation of smart phones, self-shot videos have rapidly accumulated and with the widespread home networks, users can commune with their family and friends by sharing those videos. In this paper, we propose HVSF, a platform that semi-automatically enables users to edit and mashup a video with reuse of selected parts of videos by simply writing a scenario. HVSF provides a tool to segment a video into shots and annotate those shots. HVSF automatically selects appropriate shots from videos with consideration of user preferences and similarity of adjacent shots and mashup those shots according to user scenario.
- A 360-degree 4K×2K Panoramic Video Processing Over Smart-phones
- A 4K×2K video processor supporting 360-degree processing over the smart-phone is first-reported. Two 182° fisheye cameras are exploited to warp and blend the circle video into a 4K panorama one. Fast blending architecture reused the memory buffer and reduce the unused operating area while keep high blending quality, and therefore achieve 4K 360-degree, equivalently 1K 90-degree video processing over 2.5GHz octa-core ARM CPU and Power VR GPU. From the experiment, he proposal achieves 1024×512@15fps which is 3.9 times higher than the state-of-the-art design .
- Improved Two-Layer Backward-Compatible HDR Video Coding: A Performance Comparison with Single-Layer HLG
- Two-Layer HDR video coding based on an adaptive residual mapping with extension layer coding performance optimized for HEVC is proposed in this paper. The proposed solution, while maintaining backward-compatibility, outperforms the state-of-the art Single-Layer HLG broadcast pipeline achieving higher HDR quality in terms of both HDR-VDP-2.2 and HDR-VQM along with acceptable LDR quality in the base layer.
- Deep Neural Networks for Wildfire Detection with Unmanned Aerial Vehicle
- Wildfire threatens people's lives and livelihoods. Wildfires kill hundreds of thousand people worldwide each year. Disaster information services are required to save lives and reduce economic losses when wildfire occurs. However, manned airplanes are too expensive to operate for frequent wildland monitoring. Satellite images cannot be used for early wildfire detection due to low temporal resolution and low spatial resolution. Unmanned aerial vehicles are cost-effective means to provide high resolution images for wildfire detection. A wildfire detection system utilizing unmanned aerial vehicles was developed with deep convolutional neural networks. The system achieved high accuracy for wide range of aerial photographs.
- A Hybrid Approach for Efficient Color Gamut Mapping
- Ultra High Definition and High Definition Television standard recommendations support different color gamuts with the HD gamut much smaller than that of the UHD one. To adapt UHD content to the restricted gamut of HD televisions, a process known as gamut mapping is required. Gamut mapping can be performed in any color space and using different projection methods. In this paper, we present a hybrid gamut mapping method which selects one combination of color space and projection method for each UHD color outside the HD gamut. Results show improvements in terms of ΔE2000 when comparing original and projected colors.
- Efficient Rate-Distortion Optimization for HDR Video Compression
- Rate-Distortion optimization is updated to improve HEVC coding performance for HDR content. The proposed method employs Perceptually Uniform encoding as a distortion measure and shows on average performance improvement of 1.06% for HDR-VDP-2.2 Q factor and 4.02% in HDR-VQM with respect to the reference encoder. Further, with proposed change, better bit budget estimation is achieved showing performance improvement in Rate-Control. In comparison to NRMSE values from 0.5991 to 3.7670 achieved by the reference encoder, the proposed method is able to achieve improved NRMSE values from 0.2896 to 2.7754.
- Analysis on Decoding Error Rate of Systematic Network Coding
- In this paper, we consider a real-time multimedia broadcasting system with systematic network coding over packet erasure channel. We focus on studying a theoretical decoding error rate which is a function of encoding number, packet loss rate of wireless channel and code rate of system. It is shown that the decoding error rate is inversely proportional to the encoding number if packet loss rate is low, while it is proportional to encoding number if packet loss rate is high. The simulation results confirm theoretical analysis.
- Lazy Dragging: Effortless Bounding-box Drawing for Touch-screen Devices
- Dragging rectangular boxes with a finger is among the most intuitive and popular operation to select a whole object. This work proposes a convenient method of bounding-box drawing for touch-screen devices, called Lazy Dragging. To achieve real-time and accurate performance, it first filters out explicit non-borders via graph-based segmentation. It then singles out the best four box sides among the remaining candidates using edge feature-based Random Forest. Experiments on a real-world dataset demonstrate that Lazy Dragging convincingly enhances the quality of bounding-box inputs, enabling easy object selection on small touch-screen devices.
- Semi-Automatic Player Detection for Real-Time Broadcasting Systems
- In our system, an operator only assists by means of a simple input for a key player position in the sports game and our semi-automatic detection scheme accurately estimates the region of interest related to the key player.
- Noise Suppressing Microphone Array for Highly Noisy Environments Using Power Spectrum Density Estimation in Beamspace
- We propose a noise-suppressing microphone array using power spectrum density (PSD) estimation. The microphones of the proposed microphone array achieve more than 20-dB higher signal-to-noise ratio than other commercial microphones. This microphone array is useful for voice communication and voice recognition in highly noisy environment such as factories and construction sites.
- A Framework for Energy-Efficient Operation of Set-top Boxes
- This paper introduces a framework for the efficient operation of energy-saving set-top boxes. The energy-saving set-top box supports a deep-sleep passive standby state in which almost all functional modules are stopped and turned off except those required for a fast wake-up. However, if the set-top box stays in the deep-sleep passive standby state, applications or EPG cannot be updated. To overcome the shortcomings, this paper proposes a mechanism that remotely wakes up the set-top box using wake-on-LAN capabilities and makes it go into an active standby state for a moment so that applications or EPG can be updated.
- Application Environment for Browser-based In-Vehicle Infotainment Units
- 3D Around View Monitoring System for Automobiles
- We proposed a 3D Around View Monitoring System that is both accurate and efficient. This system consists of images taken from four fisheye cameras which, through an improved calibration process combined with our self-designed triangle-patterned locating method, will be able to automatically determine the homography matrix. A 3D model can then be generated to complete the 3D AVM system. Not only did we propose a new fisheye calibration method to improve the stitching accuracy of the AVM system but we also simplified the once complex registration process.
- Enhancing V2V Network Connectivity for Road Safety by Platoon-based VANETs
- In vehicular ad-hoc networks(VANETs), road services related messages are propagated by V2V and V2I communications. So the connectivity of VANETs is one key factor to ensure the successfully message dissemination. However, due to the dynamic changing topology of VANETs, the lifetime of the links between vehicles is short. Therefore, it is necessary to enhance the network connectivity for efficient message dissemination. In this paper, we propose a connectivity probability enhancing scheme by platoons, which also has considered the minimum safety distance between adjacent vehicles. The simulation results indicates the connectivity probability is always higher than those without platoons.
- Algorithm Optimization Framework for Advanced Driver Assistance Systems
- With the rapid technology development of systems that assist drivers, the lack of uniform support for efficient algorithm development has emerged. We propose a universal Software Development Kit (SDK) concept with common optimization routines that can be applied to typical Advanced Driver Assistance Systems (ADAS) algorithms. The evaluation confirmed that the SDK decreased execution time for ADAS algorithms and works seamlessly across different embedded architectures.
- Traffic Light Recognition Using Deep Neural Networks
- Conventional traffic light detection methods often suffers from false positives in urban environment because of its complex backgrounds. To overcome such limitation, this paper proposes a method that combines a conventional approach, which is fast but weak to false positives, and a DNN, which is not suitable for detecting small objects but a very powerful classifier. Experiments on real data showed promising results.
- A Novel Hardware Architecture of CAN Applications
- In this paper, a novel hardware architecture of Controller Area Network (CAN) applications is proposed. Taking advantage of a highly integrated chip, which functions as a CAN controller as well as a CAN transceiver, the proposed architecture reduces the number of necessary external components, supports popular serial buses and thus facilitates application development. The architecture is applied in a CAN to Bluetooth bridge, whose design is described in this article. It is demonstrated that the proposed architecture is stable and practical.
Monday, January 9, 15:50 - 17:30
2.11: T7.2-Energy Management in CE Infrastructure, Systems & Devices: Energy Management Systems for Smart Buildings
- 15:50 User Experience to Enable Long-term Operation for HEMS
- In recent years, there are many studies on Home Energy Management System, HEMS for short. HEMS reduces electric power consumption by a visualization function and a remote control function. However, an action for a trouble of apparatuses and a setting of a system are complicated in using HEMS. If a user has no clue for solving, it is necessary to ask the maker or seller. Thus we focus on the trouble shoot problems for HEMS apparatuses. This study develops user experience to support long-term operation for HEMS.
- 16:10 Design and Implementation of Interactive Control System for Smart Houses
- In this paper, we propose the interactive control system to operate home appliances in smart house. The system is assembled by two servers which the Cloud server to communicate Facebook Messenger, and the Local server to control home appliances. We describe the outline of system, the implementation and the evaluation of a prototype system.
- 16:30 Low-Cost Monitoring of Photovoltaic Systems At Panel Level in Residential Homes Based on Power Line Communication
- This paper proposes a low-cost power line communication (PLC) module to monitor photovoltaic (PV) systems at panel level. The PLC module measures the voltage and current of four PV panels at a time. The aggregation time of monitoring PV panels is reduced down to one fourth. The installation cost of PV monitoring is expected to become one third by reducing the required number of PLC modules.
- 16:50 Analysis of Recovery Effect in Supercapacitors for Wearable Devices
- Supercapacitors are likely to be adopted as power sources for wearable sensors; in particular where the sensor mechanism relies on energy harvesting. A specific advantage of supercapacitors over traditional batteries is their performance over large numbers of discharge cycles. Likewise, in case of wearable devices it is essential to efficiently manage the available power. Supercapacitors exhibit a small recovery effect, in part due to ion diffusion. Modelling this effect allows an increase in available energy to be realized following the sleep times of typical wearable devices during the discharge cycle.
- 17:10 Intelligent Office Energy Management System by Analysis in Hyper-connected-IoT Environments
- As the importance of efficient energy management continues to increase, energy management systems (EMS) are also being actively researched and propagated. The most familiar and widely used system is the scheduling-based EMS. However, this system disallows maximized efficiency of energy management in environments where various users and devices coexist. In this paper, suggested energy management method through User-Device intimacy that based on the materialization of Hyper-connected-IoT environments (a concept that links Data, IoT, and space). Ultimately, more energy can be saved than from existing scheduling-based EMS.
- 15:50 Semio: Developing a Cloud-based Platform for Multimodal Conversational AI in Social Robotics
- Semio is developing a cloud-based platform to allow humans to use robots through natural communication---speech and body language. The platform allows developers to create and deploy speech/gesture-based applications to be executed by robots, and allows non-expert users to access and use those robot applications through natural communication.
- 16:10 Universal Accessory for Object-Avoidance of Mini-Quadrotor
- Development and implementation of mini-quadrotors or drones are widely spread through several applications with various customers. However, one of important limitations is an autonomous control for many perspectives, especially for beginners. In this paper, we present the novel design of universal apparatus for autonomous object-avoidance of mini-quadrotors. The goal is to implement this tool to several designs of mini-quadrotors. This device consists of a control box with IR sensors and small propellers at four locations. The testing results showed that the four propellers can be controlled with the various speed depended on the distance to the obstacle.
- 15:50 Iterative Refinement of Transmission Map for Stereo Image Defogging
- This paper presents a novel stereo image defogging algorithm using the disparity map. The proposed algorithm iteratively performs three steps; i) disparity map estimation using the optical flow, ii) transmission map generation using the estimated disparity map, and iii) reconstruction of defogged image using the transmission map. Experimental results show that the proposed method can successfully remove the fog without color distortion or ringing artifacts.
- 16:10 Prototype Holographic Drive with Wavefront Compensation for Playback of 8K Video Data
- We developed a prototype holographic drive for archival use. For stable reproduction, wavefront compensation technology was introduced into the drive, and hologram distortion was optically compensated for by controlling the wavefront of the laser beam. A compressed 8K Super Hi-Vision video signal recorded on a holographic disk was successfully played back in real time.
- 16:30 Global Motion Compensated Saliency Estimation with a Hand-held Camera for Video Retiming
- This paper proposes a global motion compensated saliency estimation method for video retiming application. The method consists of four steps. First, a foreground mask is estimated. Second, motion features are computed using optical flow. Third, Global motion compensated motion features are computed. Finally, the saliency scores are estimated using the global motion compensated motion features.
- 16:50 Theoretical Analysis of the Physiologic Mechanism for Visual Comfort in 3D Virtual Reality
- We investigate a unique temporal visual comfort model for temporal prediction of 3D VR images tracing human perception process of visual comfort based on physiologic mechanism. With regard to the neural pathway of eye movements and brain activity, TVCM is composed of the eyes, brain and the related optic nerves.
- 17:10 A Compressed-Domain Corner Detection Method for a DCT-based Compressed Image
- Researchers have developed compressed-domain computer vision algorithms. Despite the recent progress, the demands for interesting point extraction in compressed-domain still exist. In this paper, we propose a compressed-domain corner detection for a DCT (Discrete Cosine Transform)-based compressed image. It partially decodes the image to obtain DCT data and then split the data into the high precision data. The edge map is then estimated by gradient patterns and coefficients to detect corners. Experimental results show that the proposed method has about 6 pixels of average distance and about 2% miss rate compared to a pixel-domain method with low computational complexity.
Tuesday, January 10
Tuesday, January 10, 08:30 - 09:00
Tuesday, January 10, 09:00 - 10:00
K3: Keynote. The Emerging Era of Fog Computing and Its Impact on Consumer Electronics. Tao Zhang. IEEE Fellow and Cisco Distinguished Engineer.
Moving computing, control, and storage into the Cloud has been a key trend in the past decade. However, Cloud alone is encountering growing limitations in supporting many new systems and applications such as the Internet of Things (IoT), 5G wireless systems, distributed data analytics, embedded AI, and more. Addressing the growing need for distributed computing requires a new paradigm - Fog, which can dynamically distribute computing, storage, communication, and control services closer to the users, to the network edge or anywhere along the Cloud-to-Thing continuum that can best meet user requirements.
Many new challenges arise in enabling Fog computing and services, creating a fertile ground for innovation. What Fog architectures make the most sense? How should Fog interact with Cloud? How to enable scalable, manageable, and reliable distributed Fog systems and services? How to secure such Fog systems and services? The list continues. Addressing these challenges necessitates rethinking of the end-to-end computing, networking, and control architectures.
In this talk, I will discuss what Fog is, how it complements and differs from other related technologies and initiatives, how it can help address some critical challenges we face, and what the global industry-academia consortium - Open Fog Consortium (OpenFog) - is doing to accelerate Fog development and adoption.
Tuesday, January 10, 10:00 - 10:30
- DRAM Frequency Scaling for Energy Efficiency Based on Memory Usage
- This paper proposes a DRAM frequency selection method based on memory usage. The proposed method was implemented and tested with embedded Linux on a system equipped with a multicore processor and 2GB LPDDR3 RAM. Experimental results show that our method enhances energy efficiency of the device by up to 18%.
- State of Charge, State of Health, and State of Function Monitoring for EV BMS
- The computation and monitoring of three key indices, namely, state of charge, state of health, and state of function for EV (electrical vehicle) BMS (battery management system) are proposed in this work. Because most of SOC definitions are directly related to nominal capacity, the accuracy of residual capacity is doubtful. Therefore, the SOC is re-defined by present maximum capacity to reduce the error of SOC estimation. The measurement of the proposed SOC demonstrates that the maximum error is 0.334 %. Moreover, this paper also proposes SOF based on SOC and SOH to reveal the driving power of the system.
- Multi-Level Energy Management and Optimal Control of a Residential DC Microgrid
- Extensive exploitation of renewable energies together with the increased role of low-voltage DC (LVDC) micro-sources in the generation mix of the future electricity networks, have become the driving force behind the DC microgrid applications. In this paper, an optimal dispatch model of a residential DC microgrid (R-DCMG) with different distributed generations (DGs) and loads is proposed and implemented as an optimal hierarchical control strategy. A system-level optimizer is designed to calculate the optimal operating points of the controllable energy sources (CESs) when needed, while lower-level controllers are utilized to enforce the CESs to follow optimal set-points.
- Optimal Energy Management Scheme for Multi-dwelling Units with Clustered Energy Storage Systems
- Energy storage system (ESS) has started to be adopted for home energy management. However, in multi-dwelling units that are common in the urban area, it is difficult to have enough space to install and operate ESS at home. In this work, installing clustered ESS in the shared space of multi-dwelling units is considered. For more effective operation the ESS resources are shared and virtually integrated to the individual houses. Simulations show that the proposed clustered ESS management scheme has outperformance than the conventional individual management scheme. In addition, the effect of the demand characteristic is also numerically measured.
- Network Assistance Platform for Saving Power Consumption of IoT Devices and Set-Top Boxes
- In this paper, network assistance platform is proposed for saving power consumption of IoT (Internet of Things) devices that includes set-top boxes. The platform enables a server and smart device (e.g., smartphone) to monitor and control operation modes of the IoT devices. If IoT devices consume a large amount of power, the server or smart device can switch the IoT devices' operation mode to low-power mode (e.g., Passive Standby), and thus the IoT devices' power consumption can be reduced. In this paper, architecture and implementation of the network assistance platform are explained.
- Indoor and Remote Controls and Management of Home Appliances by a Smartphone with a Four-quadrant User Interface
- This paper proposes a design both for indoor and remote controls and for management of home appliances by a smartphone by utilizing a four-quadrant user interface. This design features the use of a low power Bluetooth to connect indoor home appliances. A mobile Internet is used to connect home appliances to a smartphone at the remote-side mode. For home appliance management, this design not only measures but also monitors the power consumption of the home appliances. For the user interface, this design uses a four-quadrant user interface of a smartphone to provide a more user-friendly operation.
- Prioritized Energy Optimal Management for Home-to-Home in Smart Grid
- This paper designs a prioritized energy optimal management. As a way of assigning the prioritized optimal energy, if there is a surplus of energy from the energy provider, the intermediator in smart grid allocates the optimal energy to the requesting user in order to maximize the user satisfaction.
- A New Variable Switching Frequency Control for Active Cell Balancing Systems
- This paper presents a new active cell balancing control method for the Battery Management System (BMS). The proposed method modulates the switching frequency for the controlling an active balancing circuit. Consequently, the active cell balancing speed is improved. The Labview simulation was implemented.
- Implementation and Demonstration of Cost-Effective Wireless Monitoring Module for PV System
- Photovoltaic (PV) is an attractive renewable energy source and the global cumulative PV capacity is growing steadily. Implementation of a cost-effective wireless PV monitoring system is required in order to apply it commercially to the massive number of PV panels. This paper proposes an implementation method for cost-effective wireless PV monitoring module, and describes demonstration results on the practical PV system.
- Realisation of a Smart Plug Device Based on Wi-Fi Technology for Use in Home Automation Systems
- Existing devices used in home automation are mostly based on ZigBee or Z-Wave technologies. While these solutions are proven, they require additional hardware to be used as gateways. These technologies are based on mesh topology and often require additional routers to provide better connectivity. This increases cost of the system, and can increase communication latency time. Device described in this paper tries to solve these problems using Wi-Fi technology, based on star topology, with no additional hardware needed. Purpose of this paper is to compare the performance of an existing ZigBee solution with a device based on Wi-Fi technology.
- A Service-Oriented Monitoring System Based on Rule Evaluation for Home Automation
- This paper proposes a monitoring system based on the provision of monitoring services for the real-time checking of the correct behavior of sensors and actuators. Monitoring services consist of a set of user-defined rules, which can be registered in a cloud domain and directly executed on a controller device. An implementation of this system and an evaluation of the system's response time in detecting unexpected behavior of monitored devices is presented.
- An Extended Identification System of Cosmetics Based on GS1-128
- Cosmetics have been being used for centuries. However, the digitalized identification of cosmetics relies solely on the normal barcode and other information such as expiration date and period after opening is not integrated. Expired cosmetics can be dangerous but customers cannot easily recognize expiry information. This research suggests an extended identification system of cosmetics based on GS1-128 and provides an implementation of a smart dressing table.
- A Novel Low Power WLAN Operation Scheme for Multiple Wake-Up Receivers
- In this paper, a novel low power Wireless Local Area Network (WLAN) operation scheme for multiple low power receivers is proposed. Recently, substantial amount of Internet of Things (IoT) devices are used for various applications, and their delay and energy consumption requirements vary depending on their applications. Therefore, the tradeoff between power saving and delay should be carefully considered when power saving scheme is designed for different traffic patterns. In this paper, an efficient low power operation scheme of many low power devices with options to meet the requirements of power consumption and delay
- In-band Cellular IoT for Smart Home Applications
- Smart home and its applications are one of the main interests of IoT (internet of things). Recently, 3GPP has introduced cellular IoT systems including LTE-M and NB-IoT (narrowband IoT). In this letter, we propose a unified frame structure for providing the applications of cellular IoTs to smart home scenario and implement using the USRP-RIO. The experimental results verify the performances of cellular IoTs in smart home environments.
- Retrieving the Useful Information From the Binary Files Compiled by C Compiler
- In order to reuse or verify compliance of a software component, the information about compiler that compiled the component is very significant. When it comes to the matter of software components developed in C language, the only place to look for this information is in compiled binary file. This paper investigates what is the possibility of retrieving the information about compiler name and version based on the content of the binary code, without decompiling the binary code. It uses natural language process of classification in order to find compiler information.
- Home Lighting Controller Based on BLE
- This work deals with an application of wireless communication technologies (BLE) to the creation of a Home Lighting Management System (HLMS). Our aim is to create a system based on BLE in order to implement an universal smart lighting controller which allows performing a remote lighting control and monitoring system for home environments. As lighting control protocol DALI appears to be the best option due to its simplicity and half-duplex communication, this last one is an essential quality in what is called IoT or in general when referring to Smart environments. BLE and DALI integration allow to easily control lights making DALI a feasible option for inhome facilities. Each node is attached to a ballast with a DALI control interface plus a controller implemented with Arduino supporting BLE. An Android App has been developed to control and interface the management system. Finally, results and conclusions from several tests are provided showing how the wireless nodes controlled DALI system allows smart lighting control at home plus energy savings benefits.
Tuesday, January 10, 10:30 - 12:10
- 10:30 PAM 4 Correlated Random Jitter Modelling for High Speed Links
- In this paper an extension to the previous work done in the Jitter modeling for high speed communication links, is presented. For the technique called "Bin Multiplication" the work was done only for NRZ systems, we derived a new general equation to find the total number of combinations for any-level system: PAM4, PAM8, etc. Moreover, the bin multiplication algorithm is developed for correlated random jitter, modeled using correlated Gaussian probability density functions (pdfs). With this approach, a more generalized and accurate jitter modeling, for PAM 4 is provided
- 10:50 Implementation of Seamless Connection System for Bluetooth Low Energy Devices in Remote Locations
- Many consumer electronic devices in the home can be connected to and controlled by smartphones. However, the Bluetooth range is limited, and a user typically cannot communicate with home Bluetooth devices from outside the home. A technology is therefore proposed that identifies Bluetooth devices in the home and connects with them without a communication range limitation. The proposed method is extended to support Bluetooth Low Energy (BLE). Based on an experimental evaluation of the prototype system, we confirmed that the proposed technology enables users to identify remotely located BLE devices through the Internet within an allowable communication delay range.
- 11:10 An Effective Distributed Synchronization Method for Device-to-Device Communications
- This paper configures an effective distributed synchronization architecture in a decentralized wireless network which are considered for device-to-device communication standards. The paper proposes a random transmit selection scheme with an adaptive selection factor, which works by allowing a node to choose randomly either transmitting or receiving the clock pulses. With the adaptive selection factor-based method, the proposed scheme achieves performance improvements in both convergence time and synchronization error senses. In all of the contexts, the proposed scheme suggests the simple but strongly effective architecture, and shows enhanced behaviors.
- 11:30 A Bluetooth Low Energy Mesh Network Auto-Configuring Proactive Source Routing Protocol
- Mobile Ad-Hoc Networks are vital for the Internet of Things. However, Bluetooth is based in Master/Slave connections. Literature shows work on mesh networks with Bluetooth Low Energy (BLE), but none address auto-configuration and topology maintenance. We propose a new BLE auto-configuring map discovery routing scheme that any message protocol can utilize.
- 11:50 Low-Complexity Twiddle Factor Generator for FFT Processors
- This paper presents a low-complexity twiddle factor (TF) generator suitable for radix-8/4/2 fast Fourier transformation (FFT). The proposed TF generator employs a full complex multiplier only and simple logic units to produce all the twiddle factors required for use in FFT computation. This generator approximately costs constant chip area for arbitrary points of FFT processors, almost independent of the FFT processing size.
- 10:30 Frequency-Domain Based Reed Solomon Decoders for GPU
- Recent development and popularity of the Graphical Processing Unit (GPU) has attracted researchers to utilize it for error correction codes like Reed Solomon (RS). In this paper, we have proposed an efficient implementation of the RS decoder based on Frequency-Domain analysis. This decoder employs the Finite-field Fast Fourier Transform (FFFT) in finite field to convert the received code in Frequency-Domain; the error locator polynomial is derived using the inversion less Berleykamp-Massey algorithm (iBMA), and the error vector is generated in the frequency-domain using the coefficients of the key equation and the message is retrieved using the IFFFT method.
- 10:50 Fast Stereoscopic Rendering on Mobile Ray Tracing GPU for Virtual Reality Applications
- In this paper, we present a stereoscopic rendering based on a mobile ray tracing GPU. Adopting an existing algorithm to new mobile GPUs specialized for ray tracing enables two high performance techniques such as reprojection and tile-based rendering. Experimental results show that our implementation can be a versatile solution for future virtual reality applications, as it achieves up to 1.64 times better performance and 20% better energy efficiency compare with state-of-the-art solutions. To the best of our knowledge, our solution is the first to demonstrate mobile virtual reality based on real-time ray tracing.
- 11:10 Towards an Efficient Data Transfer on Mobile Device: a Case Study on Ray-Tracing
- In this paper, we propose an efficient ray scheduling algorithm and non-block cache architecture to hiding main-memory access latency targeting real-time ray tracing on mobile device.
- 11:30 Evaluation of 360VR Cinematic Stereoscopic DASH Service
- In this paper a DASH streaming service of 360VR stereoscopic service analyzed in terms of the effect that bitrate has on Quality of Experience of the user, and the benefit of the use of advance delivery schemes in terms of bandwidth savings. Preliminary results show that effects such as user stability and dizziness are related low bitrate representations, while advance delivery schemes can produce significant bitrate savings while preserving the level of QoE.
- 11:50 Multiclass Image Clustering for Grouping App Icons Based on App Usage and TV Programs Gouping Based on Assigned Genre Icons
- Image classification has been an important problem for past several years because of its applications in many fields. Many techniques have been proposed for classification of multiclass objects using wavelets. In this paper we propose an image clustering method using different wavelets and k-means clustering algorithm. This method can be used to group similar icons based on the corresponding apps' usage. This will help smartphone users visualize the app usage patterns. This technique can also be used in different streaming film and tv series provider companies like Netflix, to group together similar genre of programs based on their assigned icons.
- 10:30 An Improved Adaptive Quantization Method Based on Perceptual CU Early Splitting for HEVC
- The adaptive quantization (AQ) in HEVC tool suffers from underestimated spatial activity and Lagrange multiplier selection problems. So, we first solve problems existed and then propose a novel perceptual AQ method to improve performance. Experiments demonstrate that we have achieved -9.3% BD-Rate performance on HM10.0 encoder with better subjective quality.
- 10:50 A Feature Based Complexity Model for Decoder Complexity Optimized HEVC Video Encoding
- The complexity of the novel video compression algorithms is a major contributor for the increased demand of processing and energy resources for video playback in consumer electronic devices. Therefore, a decoder complexity reduction mechanism is proposed which constitutes a model that predicts the decoder's complexity requirements to decode the HEVC encoded bit streams with a 4.2% average prediction error and a decoder complexity optimized encoding algorithm, which reduces the decoding complexity by an average of 28.06% and 41.19% with a -1.91 dB and -2.46 dB impact to the BD-PSNR for the low delay P and random access configurations, respectively.
- 11:10 Real Time HEVC Decoding with OpenHEVC and OpenMP
- In this work, the open source OpenHEVC decoder has been modified in order to support parallel decoding at the slice level using OpenMP instead of pthreads. The advantage of this unthreaded decoder is that it can be used with any architecture, providing it supports OpenMP. Tests have been carried out with three different multicore chips and the performance results are similar to those obtained with the pthreaded OpenHEVC decoder.
- 11:30 A Novel Scheme for Extracting a JPEG Image From an HEVC Compressed Video
- We propose a JPEG image extraction method from an HEVC bitstream compressed video. We employ the extracted data from the bitstream and process them to be available for JPEG compression. In order to unify the DCT block size, we use the direct splitting and merging in DCT domain. We obtain the coefficients of the prediction frame by performing motion compensation in DCT domain. The coefficients of the current frame are reconstructed by adding the residual coefficients to the prediction coefficients. The reconstructed coefficients are used for JPEG compression.
- 11:50 Error Resilience Aware Rate Control and Mode Selection for HEVC Video Transmission
- To provide acceptable output quality, efficient error resilience framework for HEVC is very important especially in transmission applications. This paper demonstrates a region-of-interest based coding mode selection and rate control algorithm for improving the performance of our previously proposed RPS method. Experimental results show our method can achieve an average PSNR improvement of 0.9 dB and 1.8 dB for WVGA and 720p sequences, respectively.
- 10:30 A Fast Browsing Model for Web Contents on Wearable Devices
- In this paper, we revisit the web browser model and propose the notion of fast-access browsing that incorporates lightweight, always-on web snippets, namely widget view, into web applications. This allows users to rapidly access web contents (i.e., within 200ms) similarly as they interact with notification on smartwatches. We analyze 90 smartwatch applications, identify the quick preview pattern, and then define the constrained web specifications. Our implementation, the wearable device toolkit for fast-access browsing, is now being tested and deployed on commercialized smartwatches and the tool for building widget view-enabled web applications will be soon available as the smartwatch SDK extensions.
- 10:50 A Confetti Drone: Exploring Drone Entertainment
- Drones are taking flight, through services in packaging and delivering, reconnaissance, film, and public services. It is only a matter of time before drones are integrated to enhance the entertainment experience at a certain venue on social gathering. This paper explores the concept and develops an abstract design of a confetti drone for dronetainment that dispenses particles of debris. Its specifications were identified through a group 6-3-5 method that led to a model being implemented by taking 3 steps of a system design approach. A confetti canister was introduced to test the feasibility of a drone dispensing paper particles.
- 11:10 The Mail Art Box: An Analog to Digital Postal Service
- This paper introduces an interactive media art work called the Mail Art Box that converts a handwritten message to a digital message to be transmitted to another person digitally. This paper explored the technology of taking a postcard picture in the embedded system and sending it via a wireless communication network. The work includes computer vision technology of recognizing the information of the postcard and extracting handwriting. The Mail Art Box was installed in a gallery SAI.
- 11:30 Narrative Design for Rediscovering Daereungwon: A Location-based Augmented Reality Game
- Rediscovering Daereungwon is a location-based Augmented Reality(AR) mobile game application that aims to enrich the experience of navigating Daereungwon, a Korean cultural heritage site consisting of various royal tombs from the Silla dynasty. In this paper, a framework binding 3 main PoIs with distinctive features into a successive, cohesive, and immersive narrative is introduced. It appropriates and combines the Memorable Experience Design(MED) Framework and the Interest Curve proposed by Bulencea and Egger (2015) to guide tourists through Daereungwon, while game challenges and rewards in the form of augmented objects and interactions provide them with information on the PoIs and the site of Daereungwon as a whole.
- 11:50 Metadata Design for AR Spacetelling Experience Using Movie Clips
- There have been a number of researches to provide new media experience through augmented reality technology. However, most of them focus on creating new virtual content rather than remediating existing content such as films and TV programs. In this paper, we design a metadata schema and use cases to provide location-based film experience based on the Spacetelling framework. For evaluating proposed metadata, we implement the application based on the relational database and provide it to visitors in the historical site. By analyzing users' requirements, we could find that the proposed metadata properties provide new and valuable media experience in terms of affective, cognitive, and operative aspects. People felt more familiar with and interested in the place by watching movie clips in the related place. As a result, we suggest the design guideline derived from the experiment.
Tuesday, January 10, 12:10 - 13:30
L3: Luncheon Keynote. Integrating Brain-Computer Interface Technology With Augmented and Virtual Reality. Paul Sajda, Columbia University
Augmented and Virtual Reality (AR/VR) are platforms that offer the potential to revolutionize how we interact with media, enabling new forms of experiences in real and/or virtual environments. Brain computer interfaces (BCIs) are new technologies under development to enable direct communication between brain and machine. The integration of BCI with AR/VR offers new opportunities and products for the consumer . It also offers new ways for neuroscientists to understand how the human brain processes information in naturalistic and interactive experiences. In this talk I will describe our work integrating BCI and AR/VR to opportunistically sense neural and physiological signals for labeling information in a VR environment, using this labeling to optimize navigation through a virtual world. I will also discuss how arousal and workload can be tracked using a BCI in a VR-based flight simulation task, showing how neurofeedback can be used to optimize user performance in terms of flight time for this game-like application.
Tuesday, January 10, 13:30 - 15:10
- 13:30 Smart Crossing System Using IoT
- A new system called Smart Crossing which is another type of crosswalk using sensors, CCTV, illuminator and an IoT device to keep pedestrian in safe while crossing
- 13:50 Open Software Platform for Companion IoT Devices
- 14:10 Design and Implementation of Hyper-connected IoT-VR Platform for Customizable and Intuitive Remote Services
- This paper proposes a Hyper-connected IoT-VR (HI) Platform that designed interconnection of human, device and space. We utilized the high interoperability of IoT platform based services and the intuitive services from VR contents. HI Platform can provide customizable and intuitive remote services. Furthermore, this paper shows a Hyper-connected IoT-VR Office (HIO) Zone in order to implement the HI Platform.
- 14:30 Design and Implementation of Intelligent HVAC System Based on IoT and Bigdata Platform
- Through the development of high-tech industry and networks, IoT technology collect and analyze data about consumer and environmental information to provide various services. One of devices that utilize IoT technologies is IoT based HVAC systems such as the thermostat. However, such systems provide user customized environment control services, and have operational problems. In order to solve these problems, this paper suggests IoT and Bigdata based intelligent HVAC system.
- 13:30 Soft hip walking assist experimental system featuring variable compliance control
- In this paper, we present a tethered soft assist experimental system for the hip, incorporating virtual compliant actuator model into the control system. We adjust the parameters of the virtual compliant actuator to generate assistance torques around the hip during walking. Experimental tests for level walking at 1.25 m/s shows that variable stiffness assist is capable of reducing the energy cost of walking on level ground by an average of 5.5\% across 4 test subjects. This result confirms that our approach is capable of generating effective assistance.
- 13:50 Controlling a Wheelchair by Gesture Movements and Wearable Technology
- This is a proposal of a wheelchair which can be controlled by Individuals who are unable to move his legs and/or hands, but can use organs like the Eyes. The gestures of these organs are detected and its data is sent to the Embedded System, which directs the wheels accordingly.
- 14:10 Automated Malaria Cell Counter using Hough Transform based Method
- Malaria is still a threat and serious disease especially in the low income countries. Instead of the slow manual counting, an automated method of counting malaria cell should provide rapid diagnostic information to physician with online convenience. This paper proposes a circular Hough transform to detect and count the malaria cells among normal blood cells via using adaptive histogram equalization. The proposed method attains accurate and satisfying results in counting even the overlapped cells. Experimental evaluations show 96.04% average accuracy achieved for detecting malaria cells and 94.5% average accuracy for counting its ratio from the whole cells.
- 14:30 Dictionary Memory based Software Architecture for Distributed Bluetooth Low Energy Host Controllers Enabling High Coverage in Consumer Residential Healthcare Environments
- This work presents a novel gateway software architecture based on threads being managed by dictionary memory. The architecture has been deployed in a distributed interconnected set of low-cost consumer grade gateway devices using Bluetooth Low Energy (BLE) that are positioned around the home. The gateway devices can then be used to listen, monitor or connect to BLE based healthcare sensors to continually reveal information about the user with full residential coverage. A further novelty of this work is the ability to maintain handover connections between many sensors and many gateways as a user moves throughout their home.
- 13:30 EPG Data Control Optimization for DTV Set-Top Box
- This paper presents optimized EPG data control on DTV Set-Top Box. Optimization is reflected in lesser memory consumption by the data and lesser time consumption in data control. This leads to faster access to the desired information and its presentation to the end user.
- 13:50 Interoperability Study for Interactive Digital TV
- This paper aims to present a study regarding interoperability for interactive digital television systems. Experimental setups are carried out in order to propose a first step to coexist different digital TV systems and second screens software components. This study motivates improvements aiming to proceed field tests involving households.
- 14:10 ISDB-T and HbbTV Hybrid Receiver
- Each Integrated Broadcast and Broadband (IBB) Television standard is associated with one Digital Television (DTV) standard, leading to separate and different systems. This paper presents a prototype of a Hybrid Receiver that can merge an interactive application developed according to the IBB HbbTV standard (originally defined to be used with the DTV DVB standard), working with the DTV ISDB-T standard.
- 14:30 Automatic Extraction of Story Units From TV News
- In this paper we propose a novel method for automatic identification of semantically consistent story units from TV news programs. The method includes a temporal segmentation procedure of the video based on visual cues, as well as a graph-driven textual analysis technique of the subtitles documents. The experimental results, obtained on a dataset of 50 videos selected from one week video archive of France Television demonstrate the pertinence of the proposed approach.
- 14:50 A Survey on the Sensitivity and Selectivity of Consumer ISDB-Tb Receivers
- This paper presents the results of reception tests made to twenty-five ISDB-Tb receivers. For each one we measured its maximum sensibility, and its co-channel and adjacent-channel interference tolerance, for both upper and lower channel. Results are better than the requirements of the applicable standards.
- 13:30 Reconfigurable Hardware Design of Low-Area-Cost Computing Kernel Engine for Different Radixes of Single-Path Delay Feedback FFT Systems
- This work proposes a reconfigurable low-area-cost computing kernel engine for 1-stage-of-radix-5, 2-stage-of-radix-3, and 4-stage-of-radix-2 SDF FFT applications. By using TSMC 90nm CMOS technology, our design with higher hardware utilization ratio has a synthesis area occupation of 0.093mm2, only increasing 10.7% circuit overhead with respect to pure radix-5 computing kernel design.
- 13:50 LZ4m: A Fast Compression Algorithm for In-Memory Data
- Compressing in-memory data is a cost-effective solution for dealing with the memory demand from data-intensive applications. This paper proposes a fast data compression algorithm for in-memory data that improves performance by utilizing the characteristics frequently observed from in-memory data.
- 14:10 An Advanced TRIM Command for Extending Lifetime of TLC NAND Flash-based Storage
- In mobile environments, the popularity of TLC-based flash storage is steadily growing due to its high capacity. In this paper, we study the relationship between TLC-based storage and log-structured file system in terms of lifetime of the storage device. We also propose a novel technique, called Segment Trimming, which helps to eliminate the unnecessary data migration inside TLC storage. Our experimental results clearly show that our technique reduces the unnecessary data migration by 83% on average, compared with the traditional approach.
- 14:30 CoW Link: Duplicated Data Block Management Scheme for Multi-user Consumer Electronics Devices
- In consumer electronics (CE) environments, as the needs for multiple user account grow, operating system for CE devices began to support multi-user features. Unfortunately, with this feature, the system installs software packages individually for each account, and it would waste the storage space of CE devices. In this paper, we propose a scheme, called Copy-on-Write (CoW) Link, that efficiently saves the storage space by eliminating duplicate blocks of the files belonging to software packages. Our evaluation results show that CoW Link reduces the storage space by up to 9 times, compared with the traditional scheme.
- 14:50 Dynamic Hot-Cold Separation Scheme on the Log-structured File System for CE Devices
- Recently, many researchers have focused on the log-structured file system because its layout helps to enhance the performance of the consumer electronics (CE) devices that employ NAND flash storages as their main storage. In this paper, we present a novel hot-cold separation scheme that dynamically identifies the temperatures of blocks in the file system with a hint from the page cache. Our experimental results clearly show that our scheme reduces the number of copy operations by up to 6.1 times compared with the F2FS.
Tuesday, January 10, 15:10 - 15:50
Tuesday, January 10, 15:50 - 17:30
- 15:50 A Real-time and Low-cost Hand Tracking System
- This paper presents a high performance and low-cost real-time hand tracking system which runs on general consumer electronics with very low CPU consumption. The hand tracker fuses motion feature with color feature to alleviate the drifting problem during tracking. Experimental results on two challenging video sequences show that the proposed hand tracking system outputs the state-of-the-art performance, and consumes only about 5% CPU resources of a low-spec smart TV while processing VGA resolution video at 25 frames per second.
- 16:10 Contactless Touch Interaction Using Thermal Image for Fingerless and Handless Users
- In this paper, contactless touch interface using thermal imaging is, for who are not capable of using their fingers and hands. In this way, an interaction where a user does not need to directly touch with his/her finger is made possible. The proposed method is highly useful in the sense that many users who cannot use their fingers and hands can interact under a system that is quasi-identical to normal touch system, along with the sense that it can enlarge available ranges of touch interface.
- 16:30 Read My Lips, Login to the Virtual World
- Login systems in smart devices demand multi-factor authentication for high security and at the same time, it requires simple user experience. We propose a novel application of lip-reading satisfying these requirements. We present the adequacy of lip-reading as a biometric factor by experiment. In addition, automatic lip-reader can be implemented by LSTM (Long Short Term Memory) neural network architecture with good accuracy that can translate visual utterance to password as a knowledge factor. Furthermore, our proposed method, iterative method, can improve accuracy as much as login system required. Our work achieved 93.8% by single iteration from the first result (69.1%).
- 15:50 Blind Copula Based Copy-Move Forgery Detection Algorithm
- We present a new blind copy-move forgery detection algorithm that employs copula functions on sub-band(s) of a steerable pyramid decomposed image. Our results from 3000 images of the COMOFOD database are precise. This algorithm is ideal for security printing documents verification and can be used off line on or online.
- 16:10 Walkthrough-Style Multi-Finger Vein Authentication
- We propose a new concept of walkthrough-style finger vein authentication. Adaptive light-sources control enables multi-finger vein capturing in real time. Each finger vein region is precisely detected by utilizing a depth camera. Experiments in a prototype show real-time authentication with high accuracy.
- 16:30 Mitigating Row Hammer Attacks Based on Dummy Cells in DRAM
- This paper presents an alternative to prevent data corruption in DRAM memories due to Row Hammer attacks by the usage of dummy cells connected to each row as attacks indicators. These special cells are characterized for having a higher sensitivity to coupling noise. The strategy was validated by simulations on a 65nm CMOS 64x64 memory array, including process variations for coupling and interconnections. A outstanding characteristic of this suggested solution is the low-complexity additional hardware.
- 16:50 Efficient Protocol for Searchable Encryption and Secure Deletion on Cloud Storages
- Services on cloud storages becomes popular and useful to individuals and corporations. Security on files and information stored in remote cloud servers is claimed by users a primary requirement for a reliable service. Secure deletion, an encrypted file system, and a searchable encryption are three essential requirements for a secure cloud storage. However, available cloud services have a distance in satisfying those requirements. The proposed protocol is designed for secure cloud storages accessible by a user located from anywhere in Internet and any devices. Evaluations on the performance backs an efficiency of the protocol in time.
- 17:10 An Intrusion Detection Scheme for Driverless Vehicles Based Gyroscope Sensor Profiling
- Vehicular ad-hoc networks of self-driving vehicles are potentially exposed to both internal and external attacks. The privacy and security of these networks is paramount for effective protection of communication systems from possible attacks. We propose an intelligent intrusion detection system in this paper that is based on Integrated Circuit Metrics (ICMetrics), which has significant defensive capability against unexpected attacks. The proposed security system shows good performance in identifying and blocking malicious vehicles in vehicular ad-hoc networks of driverless vehicles and semi driverless vehicles.
- 15:50 Soiled Banknote Fitness Determination Based on Morphology and Otsu's Thresholding
- This paper presents a soiled banknote determination method based on morphology and Otsu's thresholding method. Using morphology, a texture image was extracted with selective morphological closing operations. Next, the Otsu threshold was calculated for estimating global contrast. The proposed method showed good performance on Euro and Russian banknotes.
- 16:10 Speaker System with 100-W High Output Power and 0.17% THD Using 9-V Power Supply with Digitally Direct-Driven Technique
- In recent years, high-quality and high-efficiency speaker systems have grown in importance. However, to improve sound quality, implemented electric circuits increase in size and consume more power. In addition, efficiency at low output power and total harmonic distortion (THD) at high output are degraded. In this paper, we report on a small speaker system that can output 110 W and higher from an 9-V input without using analog circuits. Using only digital processing, we build a low-power, fully digital speaker using a digital direct-driven speaker system (DDDSP) that can achieve high efficiency, low noise, and low THD.
- 16:30 A Tablet Personal Computer with Diagonal Microphone Placement for the Landscape/Portrait Interchangeable Mode
- This paper proposes a tablet PC with diagonal microphone placement for landscape/portrait interchangeable mode. Two microphones are diagonally located at a screen corner to provide useful directivity for interference attenuation in both landscape and portrait modes. The diagonal microphone placement guarantees a nonzero microphone spacing in either the landscape and the portrait mode so that interference attenuation is achieved for good subjective signal quality and a higher speech recognition rate. Evaluations in speech recognition scenario demonstrate that the diagonal microphone placement is effective in both the landscape and the portrait position with comparable command recognition rates of about 90\%.
- 16:50 Synchronization Method for Color-independent Visual-MIMO Communication
- An effective synchronization method is proposed that maintains color uniformity and ensures that the human eye is unable to detect flickering when using a general purpose commercial camera as a receiver for color-independent visual-MIMO communication.
- 17:10 PSF Estimation Using Total Variation Regularization and Shock Filter for Blind Deconvolution
- In this paper, we propose a novel PSF estimation using total variation regularization and the shock filter. The experimental results show that our method is the best of several methods with respect to deblurring performance. Furthermore, our proposed method creates high quality images for consumer cameras.
- 15:50 A Smart Mat for Assisting Muslims in Praying
- Muslim praying ritual is quite complex and challenging especially for old and forgetful people. This paper presents new smart mat system to assist Muslims in praying. The proposed system computes starting time of a pray, reminds the user about the pray time, indicates the direction to Mecca and counts the number of postures performed during a pray. Unlike related formulations, it utilizes optimized sensor array and new posture detection approach. The electronics embedded into the mat are inexpensive yet efficient. Experiments show that the smart mat has good accuracy, easy to use and is helpful for Muslim prayers.
- 16:10 Feature-level Fusion of Deep Convolutional Neural Networks for Sketch Recognition on Smartphones
- Understanding hand-free sketches with automated methods is a challenging task due to the diversity and abstract structures of the sketches. Here, we propose a robust feature-level fusion scheme that use deep convolutional neural networks (CNNs) for recognizing hand-free sketches and develop a sketch recognition application for smartphones based on client-server application architecture. We employ inter-layer CNN features to capture different levels of abstractions of sketches. Our results on TU-Berlin hand-free sketch benchmark dataset show that, proposed scheme achieves a recognition accuracy of 69.175%. This result is promising when compared with the human recognition accuracy of 73.1% on the same dataset.
- 16:30 Beacon Alarming: Informed Decision-Making Supporter and Privacy Risk Analyser in Smartphone Applications
- We are currently confronting with a large number of smartphone applications which are produced for different purposes. One important issue regarding this phenomenon is that, smartphone users are often unaware of the data collected by applications running on their devices. As a result, there is a mixed variety of factors which can substantially threaten the users' privacy. For this reason, it is an essential need to make the users aware of the potential risks of such misuses. In this paper, we aim to introduce a novel concept which is called Beacon Alarming.