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Communication network protocol for real-time distributed control and its LSI implementation

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 1997年第3期44卷 418-426页

作者： Kobayashi, K Kameyama, M Higuchi, T Second Engineering Department Building Systems Division Yamatake Honeywell Company Limited Isehara Japan Department of Computer and Mathematical Science Graduate School of Information Science University of Tohoku Sendai Japan Department of System Information Science Graduate School of Information Science University of Tohoku Sendai Japan

A new token-passing mechanism, priority taken passing, which features real-time access and fast detection and recovery of transmission errors, is discussed in detail in comparison with standard token-passing protocols, and its large-scale integration (LSI)-oriented design concept is described, Priority token passing includes only a small performance overhead, due to its switching functions, which can change network topology from ring to broadcast medium, A token-holding node passes the token to another node after determining the successor through priority comparison, Errors occurring during token passing can, thus, be detected and corrected simply and promptly, Priority token passing has a simple hardware implementation, requiring only small additions to the frame control circuitry, and has a small implementation overhead, The priority token-passing protocol and two other important network communication functions, dual ring network reconfiguration and high-level data link control (HDLC) normal response mode-based message transmission,are designed as a single finite-state machine, and implemented into a compact LSI chip, This integrated instrument network (IINET) chip provides complete network communication services and requires only three additional external electronic components for operation.

关键词： large-scale integration local area networks network fault tolerance network reliability protocols real-time systems reconfigurable architectures token networks

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Modifying Lyapunov exponent of chaotic map by self-cascading

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science China(Technological sciences) 2024年第7期67卷 2203-2214页

作者： YI ChenLong LI ChunBiao LI YongXin XIA Ming HUA ZhongYun School of Electronic and Information Engineering Nanjing University of Information Science&TechnologyNanjing 210044China School of Artificial Intelligence Nanjing University of Information Science&TechnologyNanjing 210044China School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate SchoolShenzhen 518055China

The self-cascade(SC) method is an effective technique for chaos enhancement and complexity increasing in chaos ***, the controllable self-cascade(CSC) method allows for more accurate control of Lyapunov exponents of the discrete map. In this work, the SC and CSC systems of the original map are derived, which enhance the chaotic performance while preserving the fundamental dynamical characteristics of the original map. Higher Lyapunov exponent of chaotic sequences corresponding to higher frequency are obtained in SC and CSC systems. Meanwhile, the Lyapunov exponent could be linearly controlled with greater flexibility in the CSC system. The verification of the numerical simulation and theoretical analysis is carried out based on the platform of CH32.

关键词： self-cascade controllable self-cascade chaos enhancement chaos control

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Measurement of peripheral nerve magnetostimulation thresholds of a head solenoid coil between 200 Hz and 88.1 kHz

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IEEE Journal of Translational engineering in Health and Medicine 2025年

作者： Barksdale, Alex C. Ferris, Natalie G. Mattingly, Eli Sliwiak, Monika Guerin, Bastien Wald, Lawrence L. Davids, Mathias Klein, Valerie MIT Department of Electrical Engineering and Computer Science Cambridge MA United States Martinos Center for Biomedical Imaging Charlestown MA United States Harvard University Harvard Graduate Program in Biophysics Cambridge MA United States Harvard-MIT Division of Health Sciences and Technology Boston MA United States Harvard Medical School Boston MA United States

Objective: Magnetic fields switching at kilohertz frequencies induce electric fields in the body, which can cause peripheral nerve stimulation (PNS). Although magnetostimulation has been extensively studied below 10 kHz, the behavior of PNS at higher frequencies remains poorly understood. This study aims to investigate PNS thresholds at frequencies up to 88.1 kHz and to explore deviations from the widely accepted hyperbolic strength-duration curve (SDC). Methods and procedures: PNS thresholds were measured in the head of 8 human volunteers using a solenoidal coil at 16 distinct frequencies, ranging from 200 Hz to 88.1 kHz. A hyperbolic SDC was used as a reference to compare the frequency-dependent behavior of PNS thresholds. Results: Contrary to the predictions of the hyperbolic SDC, PNS thresholds did not decrease monotonically with frequency. Instead, thresholds reached a minimum near 25 kHz, after which they increased by an average of 39% from 25 kHz to 88.1 kHz across subjects. This pattern indicates a significant deviation from previously observed behavior at lower frequencies. Conclusion: Our results suggest that PNS thresholds exhibit a non-monotonic frequency dependence at higher frequencies, diverging from the traditional hyperbolic SDC. These findings offer critical data for refining neurodynamic models and provide insights for setting PNS safety limits in applications like MRI gradient coils and magnetic particle imaging (MPI). Further investigation is needed to understand the biological mechanisms driving these deviations beyond 25 kHz. Clinical impact: These findings call for further basic research into biological mechanisms underlying high frequency PNS threshold trends, and supports refinement of safety guidelines for MRI and MPI systems for clinical implementation. © 2013 IEEE.

关键词： high frequency magnetostimulation magnetic particle imaging (MPI) magnetic resonance imaging (MRI) MRI gradient safety peripheral nerve stimulation

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Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning

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IEEE Transactions on Network science and engineering 2025年

作者： Chen, Xianfu Zhao, Zhifeng Mao, Shiwen Wu, Celimuge Zhang, Honggang Bennis, Mehdi Shenzhen CyberAray Network Technology Co. Ltd. Shenzhen518100 China Zhejiang University Zhejiang Lab Hangzhou310027 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Auburn University Department of Electrical and Computer Engineering AuburnAL36849 United States The University of Electro-Communications Meta-Networking Research Center Chofu-shi Tokyo182-8585 Japan The University of Electro-Communications Graduate School of Informatics and Engineering Chofu-shi Tokyo182-8585 Japan City University of Macau Faculty of Data Science Taipa999078 China University of Oulu Centre for Wireless Communications Oulu90570 Finland

The age of information metric fails to correctly describe the intrinsic semantics of a status update. In an intelligent reflecting surface-aided cooperative relay communication system, we propose the age of semantics (AoS) for measuring the semantics freshness of status updates. Specifically, we focus on status updates from a source node (SN) to the destination, which is formulated as a Markov decision process. The objective of the SN is to maximize the expected satisfaction of AoS and energy consumption under the maximum transmit power constraint. To seek the optimal control policy, we first derive an online deep actor-critic (DAC) learning scheme under the on-policy temporal difference learning framework. However, implementing the online DAC in practice poses key challenge in infinitely repeated interactions between the SN and the system, which can be dangerous particularly during exploration. We then put forward a novel offline DAC scheme, which estimates the optimal control policy from a previously collected dataset without any further interactions with the system. Numerical experiments verify the theoretical results and show that our offline DAC scheme significantly outperforms the online DAC scheme and the most representative baselines in terms of mean utility, demonstrating strong robustness to dataset quality. © 2013 IEEE.

关键词： Deep reinforcement learning

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Reliability and Incentive of Performance Assessment for Decentralized Clouds

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Journal of computer science & Technology 2022年第5期37卷 1176-1199页

作者： Jiu-Chen Shi Xiao-Qing Cai Wen-Li Zheng Quan Chen De-Ze Zeng Tatsuhiro Tsuchiya Min-Yi Guo Department of Computer Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China School of Computer Science China University of GeosciencesWuhan 430074China Graduate School of Information Science and Technology Osaka UniversityOsaka 565-0871Japan

Decentralized cloud platforms have emerged as a promising paradigm to exploit the idle computing resources across the Internet to catch up with the ever-increasing cloud computing *** any user or enterprise can be the cloud provider in the decentralized cloud,the performance assessment of the heterogeneous computing resources is of vital ***,with the consideration of the untrustworthiness of the participants and the lack of unified performance assessment metric,the performance monitoring reliability and the incentive for cloud providers to offer real and stable performance together constitute the computational performance assessment problem in the decentralized *** this paper,we present a robust performance assessment solution RODE to solve this *** mainly consists of a performance monitoring mechanism and an assessment of the claimed performance(AoCP)*** performance monitoring mechanism first generates reliable and verifiable performance monitoring results for the workloads executed by untrusted cloud *** on the performance monitoring results,the AoCP mechanism forms a unified performance assessment metric to incentivize cloud providers to offer performance as *** extensive experiments,we show RODE can accurately monitor the performance of cloud providers on the premise of reliability,and incentivize cloud providers to honestly present the performance information and maintain the performance stability.

关键词： decentralized cloud computing robust performance assessment trusted execution environment(TEE)

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An Improvement of Herbrand's Theorem and Its Application to Model Generation Theorem Proving

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Journal of computer science & Technology 2007年第4期22卷 541-553页

作者： Yu-Yan Chao Li-Feng He Tsuyoshi Zheng-Hao Shi Kenji Suzuki Hidenori Itoh Graduate School of Environment Management Nagoya Sangyo University AichiJapan College of Mechanical and Electrical Engineering Shaanxi University of Science and TechnologyChina Graduate School of Information Science and Technology Aichi Prefectural UniversityAichiJapan College of Computer and Information Engineering Shaanxi University of Science and TechnologyChina Graduate School of Computer Science and Engineering Nagoya Institute of TechnologyNagoyaJapan Department of Radiology The University of ChicagoChicagoU.S.A. Research Associate The University of ChicagoUSA.

This paper presents an improvement of Herbrand's *** propose a method for specifying a subuniverse of the Herbrand universe of a clause set S for each argument of predicate symbols and function symbols in *** prove that a clause set S is unsatisfiable if and only if there is a finite unsatisfiable set of ground instances of clauses of S that are derived by only instantiating each variable,which appears as an argument of predicate symbols or function symbols,in S over its corresponding argument's sub-universe of the Herbrand universe of *** such sub-universes are usually smaller(sometimes considerably)than the Herbrand universe of S,the number of ground instances may decrease considerably in many *** present an algorithm for automatically deriving the sub-universes for arguments in a given clause set,and show the correctness of our ***,we introduce an application of our approach to model generation theorem proving for non-range-restricted problems,show the range-restriction transformation algorithm based on our improvement and provide examples on benchmark problems to demonstrate the power of our approach.

关键词： Herbrand's theorem Herbrand universe model generation theorem proving SATCHMO really non-propositional

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Semantic analysis of real-world images using support vector machine

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Expert Systems with Applications 2009年第7期36卷 10560-10569页

作者： Chang, Chuan-Yu Wang, Hung-Jen Li, Chi-Fang Institute of Computer Science and Information Engineering National Yunlin University of Science and Technology Taiwan Graduate School of Engineering Science and Technology National Yunlin University of Science and Technology Taiwan

Digital cameras and thus digital images are now ubiquitous. How to efficiently manage a large amount of images has become important. The semantic analysis of images is an important issue in multimedia processing. Region-based image retrieval systems attempt to reduce the gap between high-level semantics and low-level features by representing images at the object level. Recently, the support vector machine (SVM) has been proposed to solve the classification problem. It can generate a hyperplane to separate two sets of features and provides good generalization performance. In this paper, we propose a novel method which integrates principal component analysis (PCA) and SVM neural networks for analyzing the semantic content of natural images, in which principal component analysis (PCA) is applied to reduce the dimension of features. Experimental results show that the proposed method is capable of analyzing the components of photographs into semantic categories with high accuracy, resulting in photographic analysis that is similar to human perception. The performance of the proposed method is better than that of the traditional radial basis function (RBF) neural network. © 2009 Elsevier Ltd. All rights reserved.

关键词： Principal component analysis

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Tools and evaluation methods for discussion and presentation skills training

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Smart Learning Environments 2015年第1期2卷 1-22页

作者： Nagao, Katashi Tehrani, Mehrdad Panahpour B Fajardo, Jovilyn Therese Department of Media Science Graduate School of Information Science Nagoya University Nagoya Japan Department of Electrical Engineering and Computer Science Graduate School of Engineering Nagoya University Nagoya Japan Department of Information Engineering Graduate School of Information Science Nagoya University Nagoya Japan

Our university is currently developing an advanced physical-digital learning environment that can train students to enhance their discussion and presentation skills. The environment guarantees an efficient discussion among users with state-of-the-art technologies such as touch panel discussion tables, digital posters, and an interactive wall-sized whiteboard. It includes a data mining system that efficiently records, summarizes, and annotates discussions held inside our facility. We also developed a digital poster authoring tool, a novel tool for creating interactive digital posters displayed using our digital poster presentation system. Evaluation results show the efficiency of using our facilities: the data mining system and the digital poster authoring tool. In addition, our physical-digital learning environment will be further enhanced with a vision system that will detect interactions with the digital poster presentation system and the different discussion tools enabling a more automated skill evaluation and discussion mining. © 2015, Nagao et al.;licensee Springer.

关键词： Digital poster Discussion mining Discussion skill Evaluation Learning environment Presentation skill Skill training

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Forward gated-diode method for parameter extraction of MOSFETs

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Journal of Semiconductors 2011年第2期32卷 23-27页

作者：张辰飞马晨月郭昕婕张秀芳何进王国增杨张刘志伟 Peking University Shenzhen SOC Key Laboratory PKU HKUST Shenzhen Institute TSRC Institute of MicroelectronicsSchool of Electronic Engineering and Computer SciencePeking University TSRCInstitute of Microelectronics School of Electronic Engineering and Computer SciencePeking University Key Laboratory of Integrated Microsystems School of Computer & Information EngineeringPeking University Shenzhen Graduate School

The forward gated-diode method is used to extract the dielectric oxide thickness and body doping concentration of MOSFETs, especially when both of the variables are unknown previously. First, the dielectric oxide thickness and the body doping concentration as a function of forward gated-diode peak recombination-generation （R-G） current are derived from the device physics. Then the peak R-G current characteristics of the MOSFETs with different dielectric oxide thicknesses and body doping concentrations are simulated with ISE-Dessis for parameter extraction. The results from the simulation data demonstrate excellent agreement with those extracted from the forward gated-diode method.

关键词： forward gated-diode method recombination-generation current parameter extraction MOSFETs

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A DWT-based robust watermarking scheme with fuzzy ART

A DWT-based robust watermarking scheme with fuzzy ART

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IEEE International Joint Conference on Neural Network

作者： Wang, Hung-Jen Chang, Chuan-Yu Pan, Sheng-Wen IEEE Graduate School of Engineering Science and Technology National Yunlin University of Science and Technology Taiwan Graduate School of Computer Science and Information Engineering National Yunlin University of Science and Technology Taiwan Department of Computer Science and Information Engineering Diwan College of Management Taiwan

ISBN: (纸本)9780780394902

Digital watermarking is an important technique for protecting the intellectual property rights (IPR) of digital media. In this paper, we propose a DWT-based robust watermarking scheme with fuzzy adaptive resonance theory (Fuzzy ART) for still images. Experimental results demonstrate that the proposed scheme is robust against common image processing, geometric distortions and some intentional attacks. Without modifying the original image, the proposed scheme is not only a robust method but also a lossless one. Moreover, it is not necessary to use the original image during extracting the embedded watermark.

关键词： digital watermarking intellectual property rights (IPR) discrete wavelet transformation (DWT) fuzzy adaptive resonance theory (Fuzzy ART) quantization

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