A5100350118- Parallel Computing and Optimization Techniques
- Advancements in PLL and VCO Technologies
- Interconnection Networks and Systems
- Advanced Data Storage Technologies
- Digital Filter Design and Implementation
- Advanced Neural Network Applications
- Distributed and Parallel Computing Systems
- Embedded Systems Design Techniques
- Context-Aware Activity Recognition Systems
- Video Surveillance and Tracking Methods
- Radio Frequency Integrated Circuit Design
- Analog and Mixed-Signal Circuit Design
- Numerical Methods and Algorithms
- Advanced Memory and Neural Computing
- Environmental and Social Impact Assessments
- Advanced Sensor and Control Systems
- Bluetooth and Wireless Communication Technologies
- Advanced Optical Imaging Technologies
- Social Media and Politics
- Energy Harvesting in Wireless Networks
- Advanced Authentication Protocols Security
- Wireless Body Area Networks
- Digital Economy and Work Transformation
- Public Health Policies and Education
- Sustainable Development and Environmental Policy
University of Chinese Academy of Sciences
2025
Sun Yat-sen University
2023-2024
Tsinghua University
2011-2023
Shandong Institute of Metrology
2022
Xi'an University of Finance and Economics
2020
Institute of Microelectronics
2012-2018
Zhejiang University
2012-2014
The growth of electronic healthcare (e-health) systems is promoted by the evolution Internet Things (IoT) technology, as this new environment provides a variety alternatives for medical data collection. Traditional authentication models in e-health cannot be applied directly to scenarios requiring low-latency, real-time services. Providing means transmission considered an important method achieve effective control systems. However, approach also leads security and privacy concerns...
Autoimmune autonomic ganglionopathy (AAG) is a rare and acquired immune-mediated disease that leads to wide failure, mainly characterized by orthostatic hypotension, gastrointestinal dysfunction, anhidrosis poorly reactive pupils. This disorder usually associated with autoantibodies the ganglionic nicotinic acetylcholine receptor (gAChR-Ab). In this study, we describe case of gAChR-Ab-positive AAG patient two therapeutic stages. The responded well after first stage methylprednisolone pulse...
Many viruses alter the phospholipid metabolism to benefit their own life cycles. It is unclear whether host or virus driving reprogramming, and how infections are affected by metabolic status. Here we report that phospholipase A2 inhibitor LY6/PLAUR domain-containing protein (PINLYP) inhibits Kaposi’s sarcoma-associated herpesvirus (KSHV) lytic reactivation remodeling especially triacylglycerol (TAG) biosynthesis. PINLYP deficiency led increased cPLA2α activity, cPLA2α-mediated AKT...
Floating-point fast Fourier transform (FFT) has been widely expected in scientific computing and high-resolution imaging applications due to the wide dynamic range high processing precision. However, it suffers area power overhead problem comparison fixed-point implementations. To address this problem, paper presents a novel hybrid SDC/SDF architecture for minimization. It minimizes required arithmetic units reduces memory usage significantly single-path delay commutator (SDC) part feedback...
For scientific computing and high-resolution imaging applications, this paper presents a pipelined reconfigurable processor to implement variable-length single-precision floating-point FFT/IFFT DCT/IDCT computations compatible with the IEEE 754 standard. In order minimize total hardware overhead power consumption, radix-4 butterfly (RR4BF) is proposed reduce 75% adders in comparison conventional parallel butterfly, partially shared Ping-Pong structured register bank (PSPPRB) provides an...
The spatial locality and the temporal of workloads are root causes for cache designs to overcome memory wall problem. However, real access behavior each these applications can be very different. It gives opportunities explore further performance improvement due different organization requirements. To address this issue, a locality-aware adaptive is proposed, which dynamically partitions private last level bank as prefetch region or victim at runtime characteristics. speculates data blocks in...
Abstract
With the improvement of living standards and intensified social competition, population various chronic diseases is gradually expanded. In this study, we use a mature domestic commercial Body Area Network as our experiment platform-IVT mhealth system, remote health care rescue system created by IVT Corporation. This adopts several most advanced technologies patents in world. It which consists sensors, call center network platform. collaboration medical institutions advisory center, it has...
As lots of cities are facing a new baby boom in China and rural areas serious shortage medical resources, China's maternal child health care system is lot problems. In this paper we introduce an intelligent information for based on Body area networks Cloud computing technologies. Wearable sensors used detecting physical signs. data mining technologies fast processing models design. First, will give detailed introduction about the Second, architecture be carefully explained. Third,...
We established a regional cooperative emergency care system of ST-elevation myocardial infarction patients based on the internet things. In this article, current status and problems patient have been studied key influence factors are found. As results, shorter time from symptom onset to reperfusion is achieved with improved outcomes for ST-segment elevation (STEMI). Primary percutaneous coronary intervention (PCI) in STEMI significantly reduces mortality morbidity, particularly when...
Abstract To explore the rapid development of digital technology and its profound impact on human behavior social functioning to study mechanisms by which environment interact, a new branch sociology—digital sociology—has emerged rapidly entered stage vigorous development. This article briefly introduces sociology outlines research progress in six areas: labor economy production, politics power, relations interaction, body self, inequality, methodological innovation. Based this, compares...
The growing complexity and diversity of neural networks in the fields autonomous driving intelligent robots have facilitated research many-core architectures, which can offer sufficient programming flexibility to simultaneously support multi-DNN parallel inference with different network structures sizes compared domain-specific architectures. However, due tight constraints area power consumption, architectures typically use lightweight scalar cores without vector units are almost unable meet...
Leaching in cement-based materials and dissolution rocks are important problems civil engineering. In the past century, concrete damage caused by leaching have occurred worldwide. And, rock is usually main cause of karst erosions. This paper provides a review causes, influencing factors, effects on engineering properties materials. The applied experimental methods for been sorted out discussed. situ field experiments can be used to study under natural conditions, while laboratory effectively...
Social resilience for public health is a new theoretical framework understanding risk governance capacity. This study identifies 18 indicators from the publicly available database and adopts method of multivariable analysis to evaluate level social in 73 countries along Belt Road Initiative (BRI). The finds that main influencing factors are institutional resilience, physical participation resilience. capacity BRI classified into three levels: high, medium, low. A high mainly shown developed...
In this paper, analytical formulations are deduced to determine reflection points on cylinders and cones, even cylindercone systems. With these formulations, a parallel UTD code is developed based MPI using domain decomposition method. Since no data exchanging needed during the calculation, has relatively ideal speedup. Numerical results show efficiency of ray-tracing techniques code.
An all-digital coherent-like binary frequency shift keying (BFSK) demodulation based on the use of a multi-bit register, two XOR gates and mean value filter is presented. The demodulator fabricated in SMIC 65-nm CMOS process with die area 0.015 mm2. consumes 1.44 mW 1.2 V voltage supply 32 MHz sample clock. measured bit error ratio (BER) performance better than that other non-coherent demodulators. proposed exhibits terms composite indicator compared to Another advantage defined using...
Modern GPGPUs have employed multi-threading to hide the long off-chip memory access latency caused by frequent cache misses. However, limited capacity shared thousands of concurrently running warps will introduce serious contention problem, which results in high miss rates hurt overall GPGPU performance. To address this paper proposes a novel technology (Re-Cache) exploiting locality characteristics and reconfiguring hierarchy including unused space idle registers pending without extra...
The spatial and temporal locality of workloads are the root causes for cache designs to overcome memory wall problem. However, few existing state-of-the-art exploit both two features optimize hierarchies in area tiled many-core systems, which losses opportunities explore more performance improvement. To address this problem, an adaptive locality-aware network-on-chip (NoC) codesign (STLAC) is proposed, dynamically partitions last level (LLC) as data prefetch buffer or victim prediction...
We present a novel wireless data acquisition system for Euro-balise. In order to reduce channel noise and power consumption, all-digital frequency shift keying (FSK) demodulation method based on the use of multi-bit XOR gates mean value filter is proposed. The demodulator implemented in 65nm CMOS process can demodulate FSK signal passive railway Euro-balise practical test. presented 2-level consumes 0.74 mW consumption working at 31.6 MHz frequency. Hardware test results demonstrate proposed...