The International Symposium on Low Power Electronics and Design (ISLPED) is the premier forum for presentation of innovative research in all aspects of low power electronics and design, ranging from process technologies and analog/digital circuits, simulation and synthesis tools, system-level design and optimization, to system software and applications.
Battery Assignment and Scheduling for Drone Delivery Businesses
Sangyoung Park, Licong Zhang and Samarjit Chakraborty
TU Műnchen
A Data Remanence based Approach to Generate 100% Stable Keys from an SRAM Physical Unclonable Function
Muqing Liu, Chen Zhou, Qianying Tang, Keshab K. Parhi and Chris H. Kim
University of Minnesota
TeleProbe: Zero-Power Contactless Probing for Implantable Medical Devices
Woo Suk Lee(Microsoft), Younghyun Kim(University of Wisconsin–Madison) and Vijay Raghunathan(Purdue University)
High Energy-Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications
Shouyi Yin, Peng Ouyang, Shibin Tang, Fengbin Tu, Xiudong Li, Leibo Liu and Shaojun Wei
Tsinghua University
1.6-mW, 56-GHz Arithmetic Logic Unit Based on Superconductor Single-Flux-Quantum Logic Circuit
Masamitsu Tanaka(Nagoya University), Ryo Sato(Nagoya University), Yuki Hatanaka(Nagoya University), Yuichiro Matsui(Nagoya University), Hiroyuki Akaike(Nagoya University), Akira Fujimaki(Nagoya University), Koki Ishida(Kyushu University), Takatsugu Ono(Kyushu University) and Koji Inoue(Kyushu University)
A Reconfigurable Building Block for Thermoelectric Generator Energy Harvesting under Spatial Temperature Variations
Jaemin Kim(Seoul National University), Naehyuck Chang(KAIST), Donkyu Baek(KAIST), Youngil Kim(KAIST) and Donghwa Shin(Yeungnam University)
A Low-Power Dual-Core Motion Estimation Chip Design and Implementation for a Wireless Panoramic Endoscopy
Jian-Lin Zeng, Tsung-Yi Wu and Ching-Hwa Cheng Feng Chia University, National Changhua University of Education |
|
An Atomic-Aware Design to Maximize Energy Utilization on NVP-Based Self-Powered Sensor Systems
Chih-Kai Kang, Chun-Han Lin and Pi-Cheng Hsiu Academia Sinica, National Taiwan Normal University |
|
High Energy-Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications
Shouyi Yin, Peng Ouyang, Shibin Tang, Fengbin Tu, Xiudong Li, Leibo Liu and Shaojun Wei Tsinghua University |
|
An Ultra-Low Power 169-nA 32.768-kHz Fractional-N PLL
Chun-Yu Lin, Tun-Ju Wang, Tzu-Hsuan Liu and Tsung-Hsien Lin National Taiwan University |
|
TeleProbe: Zero-Power Contactless Probing for Implantable Medical Devices
Woo Suk Lee, Younghyun Kim and Vijay Raghunathan Microsoft, University of Wisconsin–Madison, Purdue University |
|
Retention State-Aware Energy Management for Efficient Nonvolatile Processors
Dongqin Zhou, Weiwen Chen, Xin Shi, Mengying Zhao and Keni Qiu Capital Normal University, Tsinghua University, Shandong University, Beijing Advanced Innovation Center for Imaging Technology |
|
1.6-mW, 56-GHz Arithmetic Logic Unit Based on Superconductor Single-Flux-Quantum Logic Circuit
Masamitsu Tanaka, Ryo Sato, Yuki Hatanaka, Yuichiro Matsui, Hiroyuki Akaike, Akira Fujimaki, Koki Ishida, Takatsugu Ono and Koji Inoue Nagoya University, Kyushu University |
|
A Reconfigurable Building Block for Thermoelectric Generator Energy Harvesting under Spatial Temperature Variations
Jaemin Kim, Naehyuck Chang, Donkyu Baek, Youngil Kim and Donghwa Shin Seoul National University, KAIST, Yeungnam University |
Venue
GIS NTU Convention Center
ISLPED 2017 will be held at GIS NTU Convention Center, Taipei, Taiwan. Located on the beautiful campus of National Taiwan University (NTU), GIS NTU Convention Center is easily accessible by transit. It is only a 2-minute walk from the MRT Gongguan station. There are fabulous dining options around, including top-rated restaurants and a popular night market.
Platinum Sponsor
Gold Sponsors
Silver Sponsors
Bronze Sponsors
Technical Sponsors