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Table of contents IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-11-25
Presents the table of contents for this issue of the publication.
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IEEE Consumer Technologies Society IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-11-25
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Thread Evolution Kit for Optimizing Thread Operations on CE/IoT Devices IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-10-23 Geunsik Lim; Donghyun Kang; Young Ik Eom
Most modern operating systems have adopted the one-to-one thread model to support fast execution of threads in both multi-core and single-core systems. This thread model, which maps the kernel-space and user-space threads in a one-to-one manner, supports quick thread creation and termination in high-performance server environments. However, the performance of time-critical threads is degraded when
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Virtual Connection: Selective Connection System for Energy-Efficient Wearable Consumer Electronics IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-11-03 Gyeonghwan Hong; Dongkun Shin
Wearable consumer electronics such as smartwatch and smartglasses generally use peer-to-peer (P2P) communications to connect to their companion devices such as smartphones. The recent wearable consumer electronics are equipped with multiple heterogeneous network interfaces, which have different power consumption and transfer bandwidths. To optimize energy efficiency, a network interface must be selected
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Infant Monitoring System for Real-Time and Remote Discomfort Detection IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-10-15 Cheng Li; Arash Pourtaherian; Lonneke van Onzenoort; Walter E. Tjon a Ten; Peter H. N. de With
Infant monitoring is very important in daily life, since infants lack the ability to verbalize and communicate with their caregivers. However, a full-time monitoring provided by caregivers or practitioners is very expensive and labor intensive. To solve the practical difficulties for particular nighttime monitoring and further reduce the labor cost, in this article, we propose a novel 24-hour infant
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A Personalized Classifier for Human Motion Activities With Semi-Supervised Learning IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-11-05 Ghanapriya Singh; Mahesh Chowdhary; Arun Kumar; Rajendar Bahl
The motion activities performed by a mobile or wearable device user are characteristic of the user and the accuracy of detection of motion activity context can be improved by incorporating personalized samples of motion activity. But obtaining personalized samples of motion activity from device user is not practically feasible. In this article, a semi-supervised method is presented for improving the
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A Convolutional Neural Network for Ghost Image Recognition and Waveform Design of Electrophoretic Displays IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-10-21 Jin-Xin Cao; Zong Qin; Zheng Zeng; Wen-Jie Hu; Lin-Yu Song; Dian-Lu Hu; Xi-Du Wang; Xi Zeng; Yu Chen; Bo-Ru Yang
With the advantages of low power consumption, flexibility, and high readability against bright ambiance, electrophoretic displays (EPDs) have wide application prospects in the fields of education, smart supermarkets, Internet of Things, smart homes, wearable devices, etc. EPDs suffer from a severe history dependence during grayscale switching, which results in annoying ghost images. However, currently
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Energy- and Quality-Aware Video Request Policy for Wireless Adaptive Streaming Clients IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-10-29 César Díaz; Antonio Fernández; Fernando Sacristán; Narciso García
We present a straightforward, non-intrusive adaptive bit rate streaming segment quality selection policy which aims at extending battery lifetime during playback while limiting the impact on the user’s quality of experience, thus benefiting consumers of video streaming services. This policy relies on the relationship between the available channel bandwidth and the bit rate of the representations in
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Mobile Match on Card Active Authentication Using Touchscreen Biometric IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-10-09 Sepehr Keykhaie; Samuel Pierre
With the wide use of personal consumer electronics devices such as smartphones, people store sensitive and confidential information more on their devices. Active authentication (AA) systems continuously authenticate users to reduce possible attacks after a successful login on the device. In this article, we propose match-on-card (MOC) approach for a secure active authentication scheme using touchscreen
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Obfuscated Hardware Accelerators for Image Processing Filters—Application Specific and Functionally Reconfigurable Processors IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-09-29 Anirban Sengupta; Mahendra Rathor
Hardware accelerators are widely used as computationally-intensive cores in consumer electronics (CE) applications. However security and speed of such hardware accelerators, that are responsible for computing data-intensive tasks, play an important role in improving consumer experience in terms of safety and performance. This article presents novel low power multi-modal hardware accelerator architectures
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A Provably Secure Two-Factor Authentication Scheme for USB Storage Devices IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-11-03 Muhammad Faizan Ayub; Salman Shamshad; Khalid Mahmood; SK Hafizul Islam; Reza M. Parizi; Kim-Kwang Raymond Choo
Universal Serial Bus (USB) is widely used, for example to facilitate hot-swapping and plug-and-play. However, USB ports can be exploited by an adversary to extract private or personal data from the connected devices. Hence, a number of organizations and workplaces have prohibited their employees from using USB devices, and there have been efforts to design secure USB storage device schemes to more
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IEEE Consumer Electronics Society Board of Governors IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-11-25
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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IEEE Consumer Technology Society Officers and Committee Chairs IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-11-25
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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A WiFi-Based Smart Home Fall Detection System Using Recurrent Neural Network IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-09-03 Jianyang Ding; Yong Wang
Falls among the elderly living on their own have been regarded as a major public health worry that can even lead to death. Fall detection system (FDS) that alerts caregivers or family members can potentially save lives of the elderly. However, conventional FDS involves wearable sensors and specialized hardware installations. This article presents a passive device-free FDS based on commodity WiFi framework
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Specification and Unattended Deployment of Home Networks at the Edge of the Network IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-08-21 Iván Bernabé-Sánchez; Daniel Díaz-Sánchez; Mario Muñoz-Organero
Consumer devices continue to expand their capabilities by connecting to digital services and other devices to form information-sharing ecosystems. This is complex and requires meeting connection requirements and minimal processing capabilities to ensure communication. The emergence of new services, and the evolution of current technologies, constantly redefine the rules of the game by opening up new
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Low-Noise Energy Efficient Readout Front-End for Wearable Continuous Blood Pressure Monitoring Systems IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-08-18 Wazir Singh; Sujay Deb; Pydi Bahubalindruni
Commercially available wearable systems are increasingly helping people to continuously monitor their health status. To enable continuous monitoring for the battery operated lightweight wearable systems, power consumption is the most critical factor. The battery life of such systems has to be decent to make any acceptable product. In these systems, the power consumption is dominated by the transmitter
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Deep Neural Network-Based Indoor Emergency Awareness Using Contextual Information From Sound, Human Activity, and Indoor Position on Mobile Device IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-08-10 Hyoung-Gook Kim; Gee Yeun Kim
Context-aware computing, which gathers information about the environment at a given time and adapts its behavior accordingly, can be effectively applied to a monitoring system that automatically detects and copes with emergency situations. In this paper, we propose an indoor emergency awareness alarm system using a deep neural network on a mobile device for at-risk people, such as the elderly and children
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Table of contents IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-07-28
Presents the table of contents for this issue of the publication.
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IEEE Consumer Electronics Society IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-07-28
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Hardware-Efficient 2D-DCT/IDCT Architecture for Portable HEVC-Compliant Devices IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-07-01 Ashish Singhadia; Meghan Mamillapalli; Indrajit Chakrabarti
Low power hardware acceleration cores for integration into real-time High Efficiency Video Coding (HEVC) codec for smartphones, tablets, camcorders, and televisions are in great demand. This need motivates one for an efficient realization of Discrete Cosine Transform (DCT) and Inverse-DCT (IDCT) for HEVC. This paper presents an algorithm to calculate the required minimum number of low-frequency DCT-output/IDCT-input
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Multiple Quantization Parameter Optimization in Versatile Video Coding for 360° Videos IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-06-09 Jayasingam Adhuran; Gosala Kulupana; Chathura Galkandage; Anil Fernando
Consumer Electronics (CE) devices have started to support 360° videos in order to improve the perceived video quality by consumers. Higher compression in 360° videos not only lead to improved consumer perception, but also efficient energy and storage usage in CE devices. Consequently, efficient compression of such video content is becoming a critical design consideration of CE devices. To this end
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Residential Household Non-Intrusive Load Monitoring via Smart Event-based Optimization IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-07-09 Elnaz Azizi; Amin Mohammadpour Shotorbani; Mohhamd-Taghi Hamidi-Beheshti; Behnam Mohammadi-Ivatloo; Sadegh Bolouki
Home energy management requires accurate information about the appliances’ consumption pattern. This information can help consumers save energy, control their usage by shifting their usage to off-peak hours and reduce their electricity costs. Non-intrusive load monitoring (NILM) in which the power consumption profile of appliances are extracted from the aggregated signal of a household, provides this
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IP Core Steganography Using Switch Based Key-Driven Hash-Chaining and Encoding for Securing DSP Kernels Used in CE Systems IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-06-30 Mahendra Rathor; Anirban Sengupta
Intellectual property (IP) core of digital signal processing (DSP) kernels act as hardware accelerators in consumer electronics (CE) systems. However due to rising threats of cloning and counterfeiting to an IP core, security remains an important subject of research for these hardware accelerators. This paper presents a novel key-driven hash-chaining based hardware steganography for securing such IP
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CMFALL: A Cascade and Parallel Multi-State Fall Detection Algorithm Using Waist-Mounted Tri-Axial Accelerometer Signals IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-06-05 Gaojing Wang; Qingquan Li; Lei Wang; Yuanshi Zhang; Zheng Liu
As one of the main threats to people’s health, especially for the elderly, falls have caused a large number of accidents. Detecting falls in time can minimize the severity of the injury and save lives. Therefore, designing fall detection algorithms to assist people’s daily life has been a hot research topic. In the last decade, different fall detection approaches based on wearable sensors have been
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IEEE Consumer Electronics Society Board of Governors IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-07-28
Presents a listing of the CES society Board of Governors.
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IEEE Consumer Electronics Society Officers and Committee Chairs IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-07-28
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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iGLU 2.0: A New Wearable for Accurate Non-Invasive Continuous Serum Glucose Measurement in IoMT Framework IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-07-27 Amit M. Joshi; Prateek Jain; Saraju P. Mohanty; Navneet Agrawal
People around the globe rely on their blood samples for their glucose level measurement. There is a demand for non-invasive, precise and cost-effective solutions to monitor blood glucose level and control of diabetes. Serum glucose is an accurate blood glucose measurement method in comparison to capillary glucose measurement. Presently, the serum glucose is measured through laboratory setup with an
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GFTL: Group-Level Mapping in Flash Translation Layer to Provide Efficient Address Translation for NAND Flash-Based SSDs IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-04-29 Yubiao Pan; Yongkun Li; Huizhen Zhang; Hao Chen; Mingwei Lin
NAND flash memory has been widely used as data storage devices in consumer electronics, such as tablet computers and smart phones. Logical-to-physical address translation is important for improving the performance of NAND flash-based SSDs. Even though keeping the mapping table in a DRAM can boost the address translation, it is already infeasible to do this as the capacity of SSDs keeps increasing and
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Table of contents IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-04-23
Presents the table of contents for this issue of the publication.
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IEEE Consumer Electronics Society IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-04-23
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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IEEE Consumer Electronics Society Board of Governors IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-04-23
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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IEEE Consumer Electronics Society Officers and Committee Chairs IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-04-23
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Table of contents IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-01-27
Presents the table of contents for this issue of the publication.
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IEEE Consumer Electronics Society IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-01-27
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Efficient and Secure Key Management for Conditional Access Systems IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2019-12-13 Om Pal; Bashir Alam
In Digital TV service, subscribers get the access of channels of their interest. In conditional access systems (CAS), Control Word is used to deliver the multimedia content to legitimate subscribers securely. In order to update the Control Word frequently, a large number of messages are exchanged in the conventional key distribution systems. This article analyzes the strengths and weaknesses of the
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Wireless Transceiver Aided Run-Time Secret Key Extraction for IoT Device Security IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2019-12-13 Mi-Kyung Oh; Sangjae Lee; Yousung Kang; Dooho Choi
This article provides a secret key extraction aided by wireless transceiver for Internet of Things (IoT) based consumer electronic (CE) devices, which can be a promising alternative to the conventional secret storage with non-volatile memory. Exploiting the wireless transceiver as a source of secret key generation, we propose a new type of static random access memory (SRAM) physically unclonable function
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Video Multimethod Assessment Fusion (VMAF) on 360VR Contents IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2019-12-05 Marta Orduna; César Díaz; Lara Muñoz; Pablo Pérez; Ignacio Benito; Narciso García
This paper describes the process carried out to validate the application of one of the most robust and influential video quality metrics, Video Multimethod Assessment Fusion (VMAF), to 360VR contents. VMAF is a full reference metric initially designed to work with traditional 2D contents. Hence, at first, it cannot be assumed to be compatible with the particularities of the scenario where omnidirectional
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Design and Implementation of an Active Noise Control Headphone With Directional Hear-Through Capability IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2019-11-28 Vinal Patel; Jordan Cheer; Simone Fontana
This article presents the design and implementation of an active noise control (ANC) headphone system with a directional hear-through capability and compares the performance of this system to that of a standard hear-through headphone system. The directional hear-through ANC headphones are a novel integration of microphone array beamforming and ANC technologies into a pair of headphones, which provide
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Scalable Wavefront Parallel Streaming Deblocking Filter Hardware for HEVC Decoder IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2019-12-18 Swamy Baldev; Kiran Kumar Anumandla; Rangababu Peesapati
The proposed work aims to design a Wavefront Parallel Processing (WPP) based streaming Deblocking Filter (DBF) architecture for High-Efficiency Video Coding (HEVC). This architecture supports scalable pipeline stages such as 1, 2, 4 and 8 with Coding Unit (CU) sizes, i.e., 8×8, 16×16, 32×32 and 64×64 Largest Coding Unit (LCU) processing respectively. Based on the requirements of speed and area of a
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An Incremental Learning Based Gesture Recognition System for Consumer Devices Using Edge-Fog Computing IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2019-12-19 Surbhi Saraswat; Ashish Gupta; Hari Prabhat Gupta; Tanima Dutta
Gesture based systems are attracting more and more researchers to develop a single point control for consumer devices. Most of the existing works use wearable devices or camera based solutions, thus requiring additional resources. This paper presents an incremental learning based gesture recognition system that uses gyroscope sensor of Edge device (mobile phone) to recognize gesture of user and select
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A Client-Based Fast Channel Change Technique Using Multiple Decoder Clocks IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2019-11-28 Tankut Akgul
Rapid channel change is commonly considered a critical factor that improves subscriber quality of experience. One of the major contributors to increased channel change time is the delay due to buffering a newly-acquired media stream before the stream is presented to the user. When the decoder operates at a constant playback rate, this initial buffering avoids playback stalls. An initial buffering delay
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Heart Rate Estimation of PPG Signals With Simultaneous Accelerometry Using Adaptive Neural Network Filtering IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2019-12-20 Swapnil Puranik; Aldo W. Morales
Motion artifacts (MA) are potent sources of noise in wearable photoplethysmography (PPG) signals and can impact the estimation of heart rate (HR) of an individual. In this paper, a method using adaptive neural network filters (ANNF) is proposed for accurate estimation of HR using dual channel PPG signals and simultaneous, three - dimensional acceleration signals. The MA cancellation method using ANNF
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Ultra-High-Frequency Radio-Frequency-Identification Baseband Processor Design for Bio-Signal Acquisition and Wireless Transmission in Healthcare System IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2019-11-28 Shuenn-Yuh Lee; Chieh Tsou; Peng-Wei Huang
Healthcare systems have been an important part of the research on consumer electronics in recent years. To be a mass-market product, a healthcare system is combined with a home control system. In this article, an ultra-high-frequency radio-frequency-identification (UHF RFID) wireless interface is built and implemented for the bio-signal monitoring of the healthcare system. This interface is composed
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‘Smart’ Is Not Free: Energy Consumption of Consumer Home Automation Systems IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2019-12-27 Chrispin Gray; Robert Ayre; Kerry Hinton; Leith Campbell
The proliferation of consumer Home Automation Systems (HAS), which is increasingly based on the Internet of Things (IoT) architecture, comes with added costs for the additional electrical energy required to power the automation interfaces and the standby energy consumption required to maintain connectivity and/or “smartness”. In this article, we use a bottom-up approach to develop novel system-level
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An Energy Prediction Approach for a Nonintrusive Load Monitoring in Home Appliances IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2019-11-28 Bundit Buddhahai; Waranyu Wongseree; Pattana Rakkwamsuk
Home energy monitoring by appliance-level information can provide consumers awareness on energy saving. The system can be implemented through a smart meter which requires an efficient data analysis algorithm for providing an accurate energy consumption profile, the purpose for proper home energy management. This article proposes a set of data analysis procedures for extracting appliances power state
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IEEE Consumer Electronics Society Board of Governors IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-01-27
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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IEEE Consumer Electronics Society Officers and Committee Chairs IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-01-27
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Congestion Free Routing Mechanism for IoT-Enabled Wireless Sensor Networks for Smart Healthcare Applications IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-04-13 Prasenjit Chanak; Indrajit Banerjee
Recently, the Internet of Things (IoT) topology has used to collect physical, physiological, vital signs of patients in consumer-centric e-health or consumer’ wellness care services. In such healthcare systems, varieties of medical sensors are attached to the patients to collect vital signs from those who are under observation. The data gathering process in IoT-enabled Wireless Sensor Network (WSN)
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Speech Enhancement Parameter Adjustment to Maximize Accuracy of Automatic Speech Recognition IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-04-08 Tomoko Kawase; Manabu Okamoto; Takaaki Fukutomi; Yamato Takahashi
Consumer electronics equipped with a microphone array, such as car navigation devices and headsets commonly implement speech enhancement techniques based on the gradient method to cope with additive noise. However, while these techniques had been originally developed for voice communication and can maximize the signal-to-distortion ratio (SDR), they cannot always maximize automatic speech recognition
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Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-Based Approach IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-04-08 Miroslav Bures; Miroslav Macik; Bestoun S. Ahmed; Vaclav Rechtberger; Pavel Slavik
As the popularity of Smart Televisions (TVs) and interactive Smart TV applications (apps) has recently grown, the usability of these apps has become an important quality characteristic. Previous studies examined Smart TV apps from a usability perspective. However, these methods are mainly manual, and the potential of automated model-based testing methods for usability testing purposes has not yet been
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Tone-Mapped Image Quality Assessment for Electronics Displays by Combining Luminance Partition and Colorfulness Index IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-04-06 Mingxing Jiang; Liquan Shen; Linru Zheng; Min Zhao; Xuhao Jiang
Tone mapping operators (TMOs) reproduce the high dynamic range (HDR) images on low dynamic range (LDR) consumer electronics devices such as monitors or printers. To accurately measure and compare the performance of different TMOs, this article proposes a tone-mapped images (TMIs) luminance partition model and corresponding quality measure. First, each tone-mapped (TM) image is segmented into highlight
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An Efficient IoT-Based Platform for Remote Real-Time Cardiac Activity Monitoring IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-03-18 Sandeep Raj
In this article, a novel and an efficient methodology is presented for real-time monitoring of ECG signals. The method involves fast Fourier transform (FFT) based discrete wavelet transform (DWT) for extracting the features from the heartbeats which involves less computational complexity in terms of additions and multiplications operations for higher order filter lengths. These features extracted are
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HSAJAYA: An Improved Optimization Scheme for Consumer Surveillance Video Synopsis Generation IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-03-18 Subhankar Ghatak; Suvendu Rup; Banshidhar Majhi; M. N. S. Swamy
Video Surveillance is an active area of research and provides promising security measures for consumer applications. To ease consumer surveillance investigations, Video Synopsis (VS) serves as a powerful tool to assess hours of video in a shorter retro of time by projecting multiple objects concurrently. The optimization module in VS framework is considered to be a key module, yet to date, only traditional
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Anomaly Detection in Smart Home Operation From User Behaviors and Home Conditions IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-03-18 Masaaki Yamauchi; Yuichi Ohsita; Masayuki Murata; Kensuke Ueda; Yoshiaki Kato
As several home appliances, such as air conditioners, heaters, and refrigerators, were connecting to the Internet, they became targets of cyberattacks, which cause serious problems such as compromising safety and even harming users. We have proposed a method to detect such attacks based on user behavior. This method models user behavior as sequences of user events including operation of home IoT (Internet
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WPA: Write Pattern Aware Hybrid Disk Buffer Management for Improving Lifespan of NAND Flash Memory IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-03-18 Jun-Hyeong Choi; Kyung Min Kim; Jong Wook Kwak
Recently, consumer electronics devices have started adopting NAND flash memories as their storage units. NAND flash memories are suitable as portable consumer device storages, as they have several advantages such as non-volatility, high density and low power consumption. However, flash memories are difficult to be used directly as storages in consumer devices because of a limited lifespan, which is
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An Event-Driven Convolutional Neural Architecture for Non-Intrusive Load Monitoring of Residential Appliance IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-03-03 Dongsheng Yang; Xiaoting Gao; Liang Kong; Yongheng Pang; Bowen Zhou
Nowadays, the advancement of non-intrusive load monitoring (NILM) is hastened by the everincreasing requirements for smart power utilization and demand side management. Thus, an intelligent event-driven non-intrusive load monitoring method based on convolutional neural network (CNN) is proposed in this article to profile residential consumer behavior, which focused on limited applicability and low
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iLog: An Intelligent Device for Automatic Food Intake Monitoring and Stress Detection in the IoMT IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-02-25 Laavanya Rachakonda; Saraju P. Mohanty; Elias Kougianos
Not knowing when to stop eating or how much food is too much can lead to many health issues. In iLog, we propose a system which can not only monitor but also create awareness for the user of how much food is too much. iLog provides information on the emotional state of a person along with the classification of eating behaviors to Normal-Eating or Stress-Eating. Chronic stress, uncontrolled or unmonitored
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Enhanced Security of DSP Circuits Using Multi-Key Based Structural Obfuscation and Physical-Level Watermarking for Consumer Electronics Systems IEEE Trans. Consum. Electron. (IF 2.739) Pub Date : 2020-02-11 Anirban Sengupta; Mahendra Rathor
Security of Digital Signal Processing (DSP) based Intellectual Property (IP) core is very important for the overall security and reliability of Consumer Electronics (CE) systems. These DSP based IP cores are highly vulnerable to threats such as reverse engineering (RE) leading to Trojan insertion, counterfeiting and cloning. Thus developing robust defense mechanisms is highly significant for these