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Proceedings of the 2016 International Symposium on Low Power Electronics and Design最新文献

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An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms 基于能量感知的低功耗无线图像传感器平台抗噪运动目标检测方法
Proceedings of the 2016 International Symposium on Low Power Electronics and Design Pub Date : 2016-08-08 DOI: 10.1145/2934583.2934618
J. Ko, S. Mukhopadhyay
{"title":"An Energy-Aware Approach to Noise-Robust Moving Object Detection for Low-Power Wireless Image Sensor Platforms","authors":"J. Ko, S. Mukhopadhyay","doi":"10.1145/2934583.2934618","DOIUrl":"https://doi.org/10.1145/2934583.2934618","url":null,"abstract":"This paper presents an energy-aware approach to moving object detection that requires very low computation and memory while ensuring robust performance under noisy environments. The proposed approach is integrated into a wireless image sensor platform with a block-based processing unit and the motion JPEG encoder. The sensor platform is designed as an ASIC in 130nm CMOS for energy/area analysis, as well as prototyped into Virtex-5 FPGA for functional validation. The sensor platform designed with the proposed approach consumes less energy and area than the platforms with the existing methods such as Gaussian Mixture Model, while maintaining a reliable delivery of region-of-interest.","PeriodicalId":142716,"journal":{"name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130027712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Design and Implementation of a 4Kb STT-MRAM with Innovative 200nm Nano-ring Shaped MTJ 具有创新200nm纳米环形MTJ的4Kb STT-MRAM的设计与实现
Proceedings of the 2016 International Symposium on Low Power Electronics and Design Pub Date : 2016-08-08 DOI: 10.1145/2934583.2934611
Zheng Li, Xiuyuan Bi, Hai Helen Li, Yiran Chen, J. Qin, Peng Guo, W. Kong, W. Zhan, Xiufeng Han, Hong Zhang, Lingling Wang, Guanping Wu, Hanming Wu
{"title":"Design and Implementation of a 4Kb STT-MRAM with Innovative 200nm Nano-ring Shaped MTJ","authors":"Zheng Li, Xiuyuan Bi, Hai Helen Li, Yiran Chen, J. Qin, Peng Guo, W. Kong, W. Zhan, Xiufeng Han, Hong Zhang, Lingling Wang, Guanping Wu, Hanming Wu","doi":"10.1145/2934583.2934611","DOIUrl":"https://doi.org/10.1145/2934583.2934611","url":null,"abstract":"Programmability is as a severe challenge in development of spin-transfer torque magnetic random access memory (STT-MRAM). Theoretical analysis have indicated that nano-ring shaped magnetic tunneling junction (NR-MTJ) can achieve lower write current and higher write reliability compared to conventional elliptical-shaped MTJ (E-MTJ). In this work, we successfully patterned the NR-MTJ with 200nm outer diameter and 120nm inner diameter in commercial manufacturing facility, designed and fabricated a 4Kb STT-MRAM test chip with NR-MTJs. Testing results demonstrated successful read and write functionalities of our chip, and proved the theocratically-predicted electrical properties of NR-MTJs.","PeriodicalId":142716,"journal":{"name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134634780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Data-Driven Low-Cost On-Chip Memory with Adaptive Power-Quality Trade-off for Mobile Video Streaming 基于自适应电能质量权衡的数据驱动低成本片上存储器
Proceedings of the 2016 International Symposium on Low Power Electronics and Design Pub Date : 2016-08-08 DOI: 10.1145/2934583.2934619
Dongliang Chen, J. Edstrom, Xiaowei Chen, W. Jin, Jinhui Wang, Na Gong
{"title":"Data-Driven Low-Cost On-Chip Memory with Adaptive Power-Quality Trade-off for Mobile Video Streaming","authors":"Dongliang Chen, J. Edstrom, Xiaowei Chen, W. Jin, Jinhui Wang, Na Gong","doi":"10.1145/2934583.2934619","DOIUrl":"https://doi.org/10.1145/2934583.2934619","url":null,"abstract":"Nowadays, people enjoy watching mobile videos more than ever and mobile video streaming contributes to the majority of the total mobile data traffic. However, due to the high power consumption of mobile video decoders, especially the on-chip memories, short battery life represents one of the biggest contributors to user dissatisfaction. Various mobile embedded memory techniques have been investigated to reduce power consumption and prolong battery life. Unfortunately, the existing hardware-level research suffers from high implementation complexity and large overhead. In this paper, by introducing advanced data-mining techniques, we investigate meaningful data patterns hidden in mobile video data and apply the identified patterns to implement a low-power flexible hardware design with dynamic power-quality trade-off. A 45nm 32kb SRAM is presented that enables three levels of power-quality trade-off (up to 43.7% power savings) with negligible area overhead (0.06%).","PeriodicalId":142716,"journal":{"name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114537389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Session details: Heterogeneous Computing in Data Centers for Energy Efficiency 会议详细内容:能源效率数据中心的异构计算
Proceedings of the 2016 International Symposium on Low Power Electronics and Design Pub Date : 2016-08-08 DOI: 10.1145/3256018
J. Cong
{"title":"Session details: Heterogeneous Computing in Data Centers for Energy Efficiency","authors":"J. Cong","doi":"10.1145/3256018","DOIUrl":"https://doi.org/10.1145/3256018","url":null,"abstract":"","PeriodicalId":142716,"journal":{"name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115473057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Domain Wall Memory based Convolutional Neural Networks for Bit-width Extendability and Energy-Efficiency 基于域壁存储器的位宽可扩展性和高能效卷积神经网络
Proceedings of the 2016 International Symposium on Low Power Electronics and Design Pub Date : 2016-08-08 DOI: 10.1145/2934583.2934602
Jinil Chung, Jongsun Park, Swaroop Ghosh
{"title":"Domain Wall Memory based Convolutional Neural Networks for Bit-width Extendability and Energy-Efficiency","authors":"Jinil Chung, Jongsun Park, Swaroop Ghosh","doi":"10.1145/2934583.2934602","DOIUrl":"https://doi.org/10.1145/2934583.2934602","url":null,"abstract":"In the hardware implementation of deep learning algorithms such as Convolutional Neural Networks (CNNs), vector-vector multiplications and memories for storing parameters take a significant portion of area and power consumption. In this paper, we propose a Domain Wall Memory (DWM) based design of CNN convolutional layer. In the proposed design, the resistive cell sensing mechanism is efficiently exploited to design a low-cost DWM-based cell arrays for storing parameters. The unique serial access mechanism and small footprint of DWM are also used to reduce the area and power cost of the input registers for aligning inputs. Contrary to the conventional implementation using Memristor-Based Crossbar (MBC), the bit-width of the proposed CNN convolutional layer is extendable for high resolution classifications and training. Simulation results using 65 nm CMOS process show that the proposed design archives 34% of energy savings compared to the conventional MBC based design approach.","PeriodicalId":142716,"journal":{"name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117064284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Innovation for Future Connected Compute 未来互联计算的创新
Proceedings of the 2016 International Symposium on Low Power Electronics and Design Pub Date : 2016-08-08 DOI: 10.1145/2934583.2962721
V. Ilderem
{"title":"Innovation for Future Connected Compute","authors":"V. Ilderem","doi":"10.1145/2934583.2962721","DOIUrl":"https://doi.org/10.1145/2934583.2962721","url":null,"abstract":"Internet of Things (IOT) is a rapidly growing market that is being targeted by many companies world-wide to address significant local or global challenges. The projections for growth in this area are for up to 50 billion devices connected to the internet by 2020. Further trends in this market point to an exciting opportunity to truly pursue pervasive computing where energy efficient connected devices is one of, if not the most important, technology needed.","PeriodicalId":142716,"journal":{"name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130210245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables 动态变化网络可穿戴设备不确定性管理的节能计算模型
Proceedings of the 2016 International Symposium on Low Power Electronics and Design Pub Date : 2016-08-08 DOI: 10.1145/2934583.2934617
Ramyar Saeedi, Ramin Fallahzadeh, Parastoo Alinia, Hassan Ghasemzadeh
{"title":"An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables","authors":"Ramyar Saeedi, Ramin Fallahzadeh, Parastoo Alinia, Hassan Ghasemzadeh","doi":"10.1145/2934583.2934617","DOIUrl":"https://doi.org/10.1145/2934583.2934617","url":null,"abstract":"The utility of wearables is currently limited to lab experiments and controlled environments mainly because computational algorithms embedded in wearables fail to produce accurate measurements in uncontrolled, dynamically changing, and potentially harsh environments. With the exponentially growing adoption of these systems in human-centered Internet-of-Things (IoT) applications, development of resource-efficient solutions to enhance the accuracy of this systems remains a considerable research challenge. In this paper, we introduce an energy-efficient framework for uncertainty management of networked wearables. The core components of our framework are anomaly screening units for detecting anomalies that require handling, thus resulting in one order of magnitude less energy consumption compared to the conventional frameworks. Furthermore, our screening approach achieves 98.3% accuracy in detecting anomalies based on real data collected with wearable motion sensors.","PeriodicalId":142716,"journal":{"name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132147165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Session details: Hardware Security 会话详细信息:硬件安全
Proceedings of the 2016 International Symposium on Low Power Electronics and Design Pub Date : 2016-08-08 DOI: 10.1145/3256017
J. Gu, Carlos Tokunaga
{"title":"Session details: Hardware Security","authors":"J. Gu, Carlos Tokunaga","doi":"10.1145/3256017","DOIUrl":"https://doi.org/10.1145/3256017","url":null,"abstract":"","PeriodicalId":142716,"journal":{"name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125406692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SocialHBC: Social Networking and Secure Authentication using Interference-Robust Human Body Communication SocialHBC:使用干扰鲁棒人体通信的社交网络和安全认证
Proceedings of the 2016 International Symposium on Low Power Electronics and Design Pub Date : 2016-06-16 DOI: 10.1145/2934583.2934609
Shreyas Sen
{"title":"SocialHBC: Social Networking and Secure Authentication using Interference-Robust Human Body Communication","authors":"Shreyas Sen","doi":"10.1145/2934583.2934609","DOIUrl":"https://doi.org/10.1145/2934583.2934609","url":null,"abstract":"With the advent of cheap computing through five decades of continued miniaturization following Moore's Law, wearable devices are becoming increasingly popular. These wearable devices are typically interconnected using wireless body area network (WBAN). Human body communication (HBC) provides an alternate energy-efficient communication technique between on-body wearable devices by using the human body as a conducting medium. This allows order of magnitude lower communication power, compared to WBAN, due to lower loss and broadband signaling. Moreover, HBC is significantly more secure than WBAN, as the information is contained within the human body and cannot be snooped on unless the person is physically touched. In this paper, we highlight applications of HBC as (1) Social Networking (e.g. LinkedIn/Facebook friend request sent during Handshaking in a meeting/party), (2) Secure Authentication using human-human or human-machine dynamic HBC and (3) ultra-low power, secure BAN using intra-human HBC. One of the biggest technical bottlenecks of HBC has been the interference (e.g. FM) picked up by the human body acting like an antenna. In this work for the first time, we introduce an integrating dual data rate (DDR) receiver technique, that allows notch filtering (>20 dB) of the interference for interference-robust HBC.","PeriodicalId":142716,"journal":{"name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","volume":"63 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133994390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 26
A Light-powered, "Always-On", Smart Camera with Compressed Domain Gesture Detection 具有压缩域手势检测功能的光能、“永远在线”智能相机
Proceedings of the 2016 International Symposium on Low Power Electronics and Design Pub Date : 2016-05-26 DOI: 10.1145/2934583.2934594
A. Anvesha, Shaojie Xu, N. Cao, J. Romberg, A. Raychowdhury
{"title":"A Light-powered, \"Always-On\", Smart Camera with Compressed Domain Gesture Detection","authors":"A. Anvesha, Shaojie Xu, N. Cao, J. Romberg, A. Raychowdhury","doi":"10.1145/2934583.2934594","DOIUrl":"https://doi.org/10.1145/2934583.2934594","url":null,"abstract":"In this paper we propose an energy-efficient camera-based gesture recognition system powered by light energy for \"always on\" applications. Low energy consumption is achieved by directly extracting gesture features from the compressed measurements, which are the block averages and the linear combinations of the image sensor's pixel values. The gestures are recognized using a nearest-neighbour (NN) classifier followed by Dynamic Time Warping (DTW). The system has been implemented on an Analog Devices Black Fin ULP vision processor and powered by PV cells whose output is regulated by TI's DC-DC buck converter with Maximum Power Point Tracking (MPPT). Measured data reveals that with only 400 compressed measurements (768x compression ratio) per frame, the system is able to recognize key wake-up gestures with greater than 80% accuracy and only 95mJ of energy per frame. Owing to its fully self-powered operation, the proposed system can find wide applications in \"always-on\" vision systems such as in surveillance, robotics and consumer electronics with touch-less operation.","PeriodicalId":142716,"journal":{"name":"Proceedings of the 2016 International Symposium on Low Power Electronics and Design","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130457026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
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