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SIST FuMinfan’ s Research Group Proposes A Novel Architecture for Wireless Fast Charger
SIST Assistant Professor Fu Minfan’sgroupdeveloped a novel configuration for next-generation wireless fast chargers. In the prior chargers, the redundancy of power conversation stages for isolation and modulation would naturally lead to low efficiency. This issue is well addressed in the proposed two-stage configuration and the efficiency is enhanced dramatically. Their achievement is recently published inIEEE Journal of Emerging and Selected Topics in Industrial Electronics in an article entitl
2021-04-01
News
Prof. Wu Tao’s research group at SIST publishes some important achievements in the field of Micro Electro Mechanical Systems (MEMS)
Prof. Wu Tao’s research group at SIST is committed to developing Micro Electro Mechanical Systems (MEMS) devices using advanced sensing materials and micro/nano technology. Their research interests mainly include the coupling mechanism and sensing application of multiferroic materials, piezoelectric acoustic micro/nano devices and ICinterface circuits, and magnetoelectric sensors. Recently, the group published four papers on RF filters, acoustic transducer PMUT and magnetoelectric sensor based o
2021-04-01
News
SIST researchers made progress in IoT and fog-computing networks
Recently, Assistant Professor Zhou Yong’s group in the SIST has made significant progress in the fields of IoT networks and fog-computing networks. Their achievements were published separately in two journals: (1) inIEEE Internet of Things Journalin an article entitled “Wireless-Powered Over-the-Air Computation in Intelligent Reflecting Surface-Aided IoT Networks”, and (2) inIEEE Transactions on Communicationsin an article entitled “Energy-Efficient Task Offloading in Massive MIMO-Aided Multi-Pa
2021-03-29
News
Important progress made in lightweight neural network and FFT
Recently, two studies from SIST Professor Ha Yajun’s group in the Reconfigurable and Intelligent Computing Lab were accepted by the ACM/IEEE Design Automation Conference (DAC). The studies were entitled TAIT: One-Shot Full-Integer Lightweight DNN Quantization via Tunable Activation Imbalance Transfer, and Bitwidth-Optimized Energy-Efficient FFT Design via Scaling Information Propagation”. The ACM/IEEE DAC conference is the most authoritative international conference in the field of electronic de
2021-03-15
News
SIST Professor Zhao Dengji proposes novel discussions on mechanism design powered by social interactions
Recently, SIST Professor Zhao Dengji’s paper entitled “Mechanism Design Powered by Social Interactions” was accepted by the 20th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2021), Blue Sky Ideas Track. Unlike other technical paper reviewing processes, the emphasis of this track is on visionary ideas, long-term challenges, new research opportunities and controversial debate. The average number of accepted papers in this track is less than ten each year. In t
2021-03-15
News
SIST researchers propose novel techniques for defect imaging
Electromagnetic imaging technology with array sensors is used extensively to detect defects in industries where structural integrity and safety are critical, such as aerospace, high-speed railway, pressure vessels, energy facilities and precision manufacturing. SIST Assistant Professor Ye Chaofeng and his research group in the Precision Sensing and Intelligent Testing lab (PSIT) have designed two novel probes and testing systems for the imaging of defects. Both achievements were recently publish
2021-02-08
News
Important progress made by SIST in the field of computer data storage
Data storage is one of the fundamental systems in computer architecture. There are a variety of data structures to implement data indexing at a high speed in a computer system. B+-Tree, a data structure designed for disks and single-core processors proposed in the 1970s, is currently still indispensable in many databases and file systems. One of the promising data storage devices to transplant and deploy B+-Tree is non-volatile memory (NVM), which has attracted wide attention in recent years, as
2021-02-04
News
Wang Hao’s research group at SIST propose an efficient algorithm for deep neural network model compression
As one of the most popular fields in artificial intelligence, deep neural network (DNN) is a promising approach to realize many AI tasks such as speech recognition, image classification and autonomous driving. At the same time, with advances in the technology of edge computing and internet of things, it is necessary to deploy pretrained DNN models at the edge of networks and on the terminal devices. However, these DNN models usually contain a massive number of parameters, proving a huge challeng
2021-02-01
News
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SIST FuMinfan’ s Research Group Proposes A Novel Architecture for Wireless Fast Charger
SIST Assistant Professor Fu Minfan’sgroupdeveloped a novel configuration for next-generation wireless fast chargers. In the prior chargers, the redundancy of power conversation stages for isolation and modulation would naturally lead to low efficiency. This issue is well addressed in the proposed two-stage configuration and the efficiency is enhanced dramatically. Their achievement is recently published inIEEE Journal of Emerging and Selected Topics in Industrial Electronics in an article entitl
2021-04-01
News
Prof. Wu Tao’s research group at SIST publishes some important achievements in the field of Micro Electro Mechanical Systems (MEMS)
Prof. Wu Tao’s research group at SIST is committed to developing Micro Electro Mechanical Systems (MEMS) devices using advanced sensing materials and micro/nano technology. Their research interests mainly include the coupling mechanism and sensing application of multiferroic materials, piezoelectric acoustic micro/nano devices and ICinterface circuits, and magnetoelectric sensors. Recently, the group published four papers on RF filters, acoustic transducer PMUT and magnetoelectric sensor based o
2021-04-01
News
SIST researchers made progress in IoT and fog-computing networks
Recently, Assistant Professor Zhou Yong’s group in the SIST has made significant progress in the fields of IoT networks and fog-computing networks. Their achievements were published separately in two journals: (1) inIEEE Internet of Things Journalin an article entitled “Wireless-Powered Over-the-Air Computation in Intelligent Reflecting Surface-Aided IoT Networks”, and (2) inIEEE Transactions on Communicationsin an article entitled “Energy-Efficient Task Offloading in Massive MIMO-Aided Multi-Pa
2021-03-29
News
Important progress made in lightweight neural network and FFT
Recently, two studies from SIST Professor Ha Yajun’s group in the Reconfigurable and Intelligent Computing Lab were accepted by the ACM/IEEE Design Automation Conference (DAC). The studies were entitled TAIT: One-Shot Full-Integer Lightweight DNN Quantization via Tunable Activation Imbalance Transfer, and Bitwidth-Optimized Energy-Efficient FFT Design via Scaling Information Propagation”. The ACM/IEEE DAC conference is the most authoritative international conference in the field of electronic de
2021-03-15
News
SIST Professor Zhao Dengji proposes novel discussions on mechanism design powered by social interactions
Recently, SIST Professor Zhao Dengji’s paper entitled “Mechanism Design Powered by Social Interactions” was accepted by the 20th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2021), Blue Sky Ideas Track. Unlike other technical paper reviewing processes, the emphasis of this track is on visionary ideas, long-term challenges, new research opportunities and controversial debate. The average number of accepted papers in this track is less than ten each year. In t
2021-03-15
News
SIST researchers propose novel techniques for defect imaging
Electromagnetic imaging technology with array sensors is used extensively to detect defects in industries where structural integrity and safety are critical, such as aerospace, high-speed railway, pressure vessels, energy facilities and precision manufacturing. SIST Assistant Professor Ye Chaofeng and his research group in the Precision Sensing and Intelligent Testing lab (PSIT) have designed two novel probes and testing systems for the imaging of defects. Both achievements were recently publish
2021-02-08
News
Important progress made by SIST in the field of computer data storage
Data storage is one of the fundamental systems in computer architecture. There are a variety of data structures to implement data indexing at a high speed in a computer system. B+-Tree, a data structure designed for disks and single-core processors proposed in the 1970s, is currently still indispensable in many databases and file systems. One of the promising data storage devices to transplant and deploy B+-Tree is non-volatile memory (NVM), which has attracted wide attention in recent years, as
2021-02-04
News
Wang Hao’s research group at SIST propose an efficient algorithm for deep neural network model compression
As one of the most popular fields in artificial intelligence, deep neural network (DNN) is a promising approach to realize many AI tasks such as speech recognition, image classification and autonomous driving. At the same time, with advances in the technology of edge computing and internet of things, it is necessary to deploy pretrained DNN models at the edge of networks and on the terminal devices. However, these DNN models usually contain a massive number of parameters, proving a huge challeng
2021-02-01
News
per page
8
records
total
172
records
firstpage
<<previouspage
nextpage>>
endpage
PageNumber
1
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22
jumpto
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