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ORCIDIEEE Journal of Emerging and Selected Topics in Circuits and Systems, Volume 8
Volume 8, Number 1, March 2018
- Arindam Basu
, Meng-Fan Chang, Elisabetta Chicca, Tanay Karnik, Hai Helen Li, Jae-sun Seo:
Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms. 1-5 - Arindam Basu, Jyotibdha Acharya, Tanay Karnik, Huichu Liu, Hai Helen Li, Jae-sun Seo, Chang Song:
Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions. 6-27 - Sahil Shah, Jennifer Hasler:
SoC FPAA Hardware Implementation of a VMM+WTA Embedded Learning Classifier. 28-37 - Chenyuan Zhao, Kian Hamedani, Jialing Li, Yang Yi:
Analog Spike-Timing-Dependent Resistive Crossbar Design for Brain Inspired Computing. 38-50 - Priyadarshini Panda, Jason M. Allred, Shriram Ramanathan, Kaushik Roy:
ASP: Learning to Forget With Adaptive Synaptic Plasticity in Spiking Neural Networks. 51-64 - Jennifer Hasler, Sahil Shah:
VMM + WTA Embedded Classifiers Learning Algorithm Implementable on SoC FPAA Devices. 65-76 - Giacomo Pedretti, Valerio Milo, Stefano Ambrogio, Roberto Carboni, Stefano Bianchi, Alessandro Calderoni, Nirmal Ramaswamy, Alessandro S. Spinelli, Daniele Ielmini:
Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM Synapses. 77-85 - Matthew J. Marinella, Sapan Agarwal, Alexander H. Hsia, Isaac Richter, Robin Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James:
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator. 86-101 - Lixue Xia, Wenqin Huangfu, Tianqi Tang, Xiling Yin, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang:
Stuck-at Fault Tolerance in RRAM Computing Systems. 102-115 - Chih-Cheng Chang, Pin-Chun Chen, Teyuh Chou, I-Ting Wang, Boris Hudec, Che-Chia Chang, Chia-Ming Tsai, Tian-Sheuan Chang, Tuo-Hung Hou:
Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network Based on Analog Resistive Synapse. 116-124 - Gangotree Chakma, Md Musabbir Adnan, Austin Wyer, Ryan Weiss, Catherine D. Schuman, Garrett S. Rose:
Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level. 125-136 - David J. Mountain, Mark R. McLean, Christopher D. Krieger:
Memristor Crossbar Tiles in a Flexible, General Purpose Neural Processor. 137-145 - Loai Danial, Nicolás Wainstein, Shraga Kraus, Shahar Kvatinsky:
DIDACTIC: A Data-Intelligent Digital-to-Analog Converter with a Trainable Integrated Circuit using Memristors. 146-158
Volume 8, Number 2, June 2018
- Changzhi Li, Pui-In Mak, Roberto Gómez-García, Ying Chen:
Guest Editorial Wireless Sensing Circuits and Systems for Healthcare and Biomedical Applications. 161-164 - Changzhi Li, Ka-Fai Un, Pui-In Mak, Ying Chen, José Maria Muñoz-Ferreras, Zhi Yang, Roberto Gómez-García:
Overview of Recent Development on Wireless Sensing Circuits and Systems for Healthcare and Biomedical Applications. 165-177 - Zhicong Luo, Ming-Dou Ker:
A High-Voltage-Tolerant and Power-Efficient Stimulator With Adaptive Power Supply Realized in Low-Voltage CMOS Process for Implantable Biomedical Applications. 178-186 - Jian Xu, Anh Tuan Nguyen, Wenfeng Zhao, Hongsun Guo, Tong Wu, Harvey Wiggins, Edward W. Keefer, Hubert H. Lim, Zhi Yang:
A Low-Noise, Wireless, Frequency-Shaping Neural Recorder. 187-200 - Chen Song, Aosen Wang, Feng Lin, Jian Xiao, Xinwei Yao, Wenyao Xu:
Selective CS: An Energy-Efficient Sensing Architecture for Wireless Implantable Neural Decoding. 201-210 - Nasrin Afsarimanesh, Md Eshrat E. Alahi, Subhas Chandra Mukhopadhyay, Marlena Kruger:
Development of IoT-Based Impedometric Biosensor for Point-of-Care Monitoring of Bone Loss. 211-220 - Rui Wang, Zaid Abukhalaf, Amir Javan-Khoshkholgh, Tim H.-H. Wang, Shameer Sathar, Peng Du, Timothy R. Angeli, Leo K. Cheng, Greg O'Grady, Niranchan Paskaranandavadivel, Aydin Farajidavar:
A Miniature Configurable Wireless System for Recording Gastric Electrophysiological Activity and Delivering High-Energy Electrical Stimulation. 221-229 - Jo Woon Chong, Chae Ho Cho, Fatemehsadat Tabei, Duy Le-Anh, Nada Esa, David D. McManus, Ki H. Chon:
Motion and Noise Artifact-Resilient Atrial Fibrillation Detection Using a Smartphone. 230-239 - Hao Gao, Marion K. Matters-Kammerer, Peter G. M. Baltus:
A 60 GHz Low Power Self-mixing Receiver in 65-nm CMOS for a Radio-Triggered Battery-Less Monolithic Wireless Sensor. 240-250 - Abhishek Kumar Jha, Zubair Akhter, Nilesh Kumar Tiwari, K. T. Muhammed Shafi, Himanshu Samant, M. Jaleel Akhtar, Michal Cifra:
Broadband Wireless Sensing System for Non-Invasive Testing of Biological Samples. 251-259 - Hong Hong, Li Zhang, Chen Gu, Yusheng Li, Guangxin Zhou, Xiaohua Zhu:
Noncontact Sleep Stage Estimation Using a CW Doppler Radar. 260-270 - Anjie Zhu, Xiaokang Qi, Tenglong Fan, Zhitao Gu, Qinyi Lv, Dexin Ye, Jiangtao Huangfu, Yongzhi Sun, Weiqiang Zhu, Lixin Ran:
Indoor Localization for Passive Moving Objects Based on a Redundant SIMO Radar Sensor. 271-279 - Takuya Sakamoto, Pascal Aubry, Shigeaki Okumura, Hirofumi Taki, Toru Sato, Alexander G. Yarovoy:
Noncontact Measurement of the Instantaneous Heart Rate in a Multi-Person Scenario Using X-Band Array Radar and Adaptive Array Processing. 280-293 - Zhe Zhang, Yongfu Li, Koen Mouthaan, Yong Lian:
A Miniature Mode Reconfigurable Inductorless IR-UWB Transmitter-Receiver for Wireless Short-Range Communication and Vital-Sign Sensing. 294-305 - Chuanwei Ding, Li Zhang, Chen Gu, Lei Bai, Zhicheng Liao, Hong Hong, Yusheng Li, Xiaohua Zhu:
Non-Contact Human Motion Recognition Based on UWB Radar. 306-315 - Ivan D. Castro, Marco Mercuri, Tom Torfs, Ilde Lorato, Robert Puers, Chris Van Hoof:
Sensor Fusion of Capacitively Coupled ECG and Continuous-Wave Doppler Radar for Improved Unobtrusive Heart Rate Measurements. 316-328 - Robert H. Nakata, Brian Haruna, Takashi Yamaguchi, Victor M. Lubecke, Shigeru Takayama, Kiyotsugu Takaba:
Motion Compensation for an Unmanned Aerial Vehicle Remote Radar Life Sensor. 329-337 - Sabikun Nahar, Tuan Phan, Farhan Quaiyum, Lingyun Ren, Aly E. Fathy, Özlem Kilic:
An Electromagnetic Model of Human Vital Signs Detection and Its Experimental Validation. 338-349 - Ashikur Rahman, Victor M. Lubecke, Olga Boric-Lubecke, Jan H. Prins, Takuya Sakamoto:
Doppler Radar Techniques for Accurate Respiration Characterization and Subject Identification. 350-359
Volume 8, Number 3, September 2018
- Massimo Alioto, Vivek De, Andrea Marongiu:
Guest Editorial Energy-Quality Scalable Circuits and Systems for Sensing and Computing: From Approximate to Communication-Inspired and Learning-Based. 361-368 - Gregory Chang, Shovan Maity, Baibhab Chatterjee, Shreyas Sen:
A MedRadio Receiver Front-End With Wide Energy-Quality Scalability Through Circuit and Architecture-Level Reconfigurations. 369-378 - Setareh Behroozi, Vijay Raghunathan, Anand Raghunathan, Younghyun Kim:
A Quality-Configurable Approximate Serial Bus for Energy-Efficient Sensory Data Transfer. 379-390 - Sungyoul Seo, Keewon Cho, Young-Woo Lee, Sungho Kang:
A Statistic-Based Scan Chain Reordering for Energy-Quality Scalable Scan Test. 391-403 - Mohammad Saeed Ansari, Honglan Jiang, Bruce F. Cockburn, Jie Han:
Low-Power Approximate Multipliers Using Encoded Partial Products and Approximate Compressors. 404-416 - Issa Qiqieh, Rishad A. Shafik, Ghaith Tarawneh, Danil Sokolov, Shidhartha Das, Alexandre Yakovlev:
Significance-Driven Logic Compression for Energy-Efficient Multiplier Design. 417-430 - Hyun Kim, Ik Joon Chang, Hyuk-Jae Lee:
Optimal Selection of SRAM Bit-Cell Size for Power Reduction in Video Compression. 431-443 - Naoya Onizawa, Daisaku Katagiri, Kazumichi Matsumiya, Warren J. Gross, Takahiro Hanyu:
An Accuracy/Energy-Flexible Configurable Gabor-Filter Chip Based on Stochastic Computation With Dynamic Voltage-Frequency-Length Scaling. 444-453 - Yidong Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han:
An Energy-Efficient Online-Learning Stochastic Computational Deep Belief Network. 454-465 - Viduneth Ariyarathna, Arjuna Madanayake, Xinyao Tang, Diego F. G. Coelho, Renato J. Cintra, Leonid Belostotski, Soumyajit Mandal, Theodore S. Rappaport:
Analog Approximate-FFT 8/16-Beam Algorithms, Architectures and CMOS Circuits for 5G Beamforming MIMO Transceivers. 466-479 - Hassan Afzali-Kusha, Omid Akbari, Mehdi Kamal, Massoud Pedram:
Energy and Reliability Improvement of Voltage-Based, Clustered, Coarse-Grain Reconfigurable Architectures by Employing Quality-Aware Mapping. 480-493 - Mingu Kang, Sungmin Lim, Sujan K. Gonugondla, Naresh R. Shanbhag:
An In-Memory VLSI Architecture for Convolutional Neural Networks. 494-505 - Srinivasan Gopal, Pawan Agarwal, Joe Baylon, Luke Renaud, Sheikh Nijam Ali, Partha Pratim Pande, Deukhyoun Heo:
A Spatial Multi-Bit Sub-1-V Time-Domain Matrix Multiplier Interface for Approximate Computing in 65-nm CMOS. 506-518 - Chixiao Chen, Hongwei Ding, Huwan Peng, Haozhe Zhu, Yu Wang, Chuanjin Richard Shi:
OCEAN: An On-Chip Incremental-Learning Enhanced Artificial Neural Network Processor With Multiple Gated-Recurrent-Unit Accelerators. 519-530 - Joshua Schabel, Paul D. Franzon:
Exploring the Tradeoffs of Application-Specific Processing. 531-542 - Giovanni Rovere, Schekeb Fateh, Luca Benini:
A 2.2-µW Cognitive Always-On Wake-Up Circuit for Event-Driven Duty-Cycling of IoT Sensor Nodes. 543-554 - Ping-Chen Huang, Jan M. Rabaey:
A Neuro-Inspired Spike Pattern Classifier. 555-565 - Cheng-Ta Chiang:
Design of a CMOS MEMS Accelerometer Used in IoT Devices for Seismic Detection. 566-577 - Joshua W. Wells, Abhijit Chatterjee:
Content-Aware Low-Complexity Object Detection for Tracking Using Adaptive Compressed Sensing. 578-590 - Jong Hwan Ko, Taesik Na, Saibal Mukhopadhyay:
An Energy-Quality Scalable Wireless Image Sensor Node for Object-Based Video Surveillance. 591-602 - Ameer Mohammed, Andreas Demosthenous:
Complementary Detection for Hardware Efficient On-Site Monitoring of Parkinsonian Progress. 603-615 - Jiawei Xu, Pieter Harpe, Chris Van Hoof:
An Energy-Efficient and Reconfigurable Sensor IC for Bio-Impedance Spectroscopy and ECG Recording. 616-626 - Hooman Farkhani, Mohammad Tohidi, Sadaf Farkhani, Jens Kargaard Madsen, Farshad Moradi:
A Low-Power High-Speed Spintronics-Based Neuromorphic Computing System Using Real-Time Tracking Method. 627-638 - Xifan Tang, Edouard Giacomin, Giovanni De Micheli, Pierre-Emmanuel Gaillardon:
Post-P&R Performance and Power Analysis for RRAM-Based FPGAs. 639-650
Volume 8, Number 4, December 2018
- Massimo Alioto, Vivek De, Andrea Marongiu:
Energy-Quality Scalable Integrated Circuits and Systems: Continuing Energy Scaling in the Twilight of Moore's Law. 653-678 - Soheil Salehi, Mahdi Boloursaz Mashhadi, Alireza Zaeemzadeh, Nazanin Rahnavard, Ronald F. DeMara:
Energy-Aware Adaptive Rate and Resolution Sampling of Spectrally Sparse Signals Leveraging VCMA-MTJ Devices. 679-692 - Mahsa Shoaran, Benyamin Allahgholizadeh Haghi, Milad Taghavi, Masoud Farivar, Azita Emami-Neyestanak:
Energy-Efficient Classification for Resource-Constrained Biomedical Applications. 693-707 - Lei Mo, Angeliki Kritikakou, Olivier Sentieys:
Controllable QoS for Imprecise Computation Tasks on DVFS Multicores With Time and Energy Constraints. 708-721 - JunKyu Lee, Hans Vandierendonck, Mahwish Arif, Gregory D. Peterson, Dimitrios S. Nikolopoulos:
Energy-Efficient Iterative Refinement Using Dynamic Precision. 722-735 - Ardalan Najafi, Moritz Weißbrich, Guillermo Payá-Vayá, Alberto García Ortiz:
Coherent Design of Hybrid Approximate Adders: Unified Design Framework and Metrics. 736-745 - Vincent Camus, Mattia Cacciotti, Jeremy Schlachter, Christian C. Enz:
Design of Approximate Circuits by Fabrication of False Timing Paths: The Carry Cut-Back Adder. 746-757 - Hasan Erdem Yantir, Ahmed M. Eltawil, Fadi J. Kurdahi:
A Hybrid Approximate Computing Approach for Associative In-Memory Processors. 758-769 - Cheolhwan Kim, Dongyeob Shin, Bohun Kim, Jongsun Park:
Mosaic-CNN: A Combined Two-Step Zero Prediction Approach to Trade off Accuracy and Computation Energy in Convolutional Neural Networks. 770-781 - Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu:
Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor. 782-795 - Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Bing Han, Parami Wijesinghe, Akhilesh Jaiswal, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy:
Energy Efficient Neural Computing: A Study of Cross-Layer Approximations. 796-809 - Xin He, Wenyan Lu, Guihai Yan, Xuan Zhang:
Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference. 810-821 - Sandhya Koteshwara, Keshab K. Parhi:
Incremental-Precision Based Feature Computation and Multi-Level Classification for Low-Energy Internet-of-Things. 822-835 - Boyu Zhang, Azadeh Davoodi, Yu Hen Hu:
Exploring Energy and Accuracy Tradeoff in Structure Simplification of Trained Deep Neural Networks. 836-848 - Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Samuel James Ippolito, Omid Kavehei:
Integer Convolutional Neural Network for Seizure Detection. 849-857 - Laura Isabel Galindez Olascoaga, Komail M. H. Badami, Jonas Vlasselaer, Wannes Meert, Marian Verhelst:
Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification. 858-872 - Sanghoon Kang, Jinmook Lee, Kyeongryeol Bong, Changhyeon Kim, Youchang Kim, Hoi-Jun Yoo:
Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices. 873-883 - Koen Goetschalckx, Bert Moons, Steven Lauwereins, Martin Andraud, Marian Verhelst:
Optimized Hierarchical Cascaded Processing. 884-894 - Mauro Mangia, Alex Marchioni, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti:
Administering Quality-Energy Trade-Off in IoT Sensing Applications by Means of Adapted Compressed Sensing. 895-907
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