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International Symposium Semiconductor Device Research (ISDRS)

作者： Young Chai Jung Keun Hwi Cho Byoung Hak Hong Su Heon Hong Sung Woo Hwang D. Ahn Sung-Young Lee Min-Sang Kim Eun-Jung Yoon Dong-Won Kim Donggun Park Research Center for Time Domain Nano-functional Devices & School of Electrical Engineering Korea University South Korea Institute of Quantum Information Processing and Systems University of Seoul South Korea Advanced Technology Development Team 1 Research & Development Center Samsung Electronics Company Limited South Korea

Recently, having vertically stacked arrays of 3D channels, multi-bridge-channel MOSFETs (MBCFETs) have been fabricated successfully (Lee et al., 2003). In this paper, we report temperature dependent transport characte... 详细信息

关键词： Temperature dependence MOSFETs Scattering Rough surfaces Surface roughness Silicon Current measurement Phonons Educational institutions Nanoscale devices

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Construction of Robot Structure Design Support System by Constraint Logic Programming

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Journal of Robotics and Mechatronics 1996年第5期8卷 481-490页

作者： Aiba, Akira Sato, Shinichi Aramaki, Shigeto Department of FGCS Technology Research Institute for Advanced Information Technology Japan Information Processing Development Center Shiba Tokyo Kaijo Bldg 2F 3-3 Shiba 2-chome Tokyo Minato-ku105 Japan Systems Development Laboratory Hitachi Ltd 1099 Ozenji Asao-ku Kanagawa Kawasaki215 Japan Fukuoka University Nanakuma 8-19-1 Jyonan-ku Fukuoka-shi Fukuoka814-01 Japan

In this paper, we show a validity of a new programming paradigm called constraint logic programming by constructing a robot structure design support system. The design process of a robot structure is divided into a fundamental structure design and a internal structure de- sign. A fundamental structure design is a process that determines a framework of the robot such as a degree of freedom, a number of joint, etc. We mainly support a fundamental structure design. This design system is constructed by constraint logic programming language. The Buchberger algorithm is used to calculate the nonlinear equation in this language. Our design system generates an analysis program independent of robot structure easily. The result of analysis is also gotten in the form of expression. The constraint can be appended incrementally. By constructing such a system, we can achieve remarkable reduction of designer's work in design process. © 1996, Fuji technology Press. All rights reserved.

关键词： Nonlinear equations

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Optimization of Coordinate Transformation Matrix for Discrete-Time H∞ Static-Output-Feedback Control Problems

Optimization of Coordinate Transformation Matrix for Discret...

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第三十三届中国控制会议

作者： Zhi-Yong Feng Li Xu Ye Li Huijin Fan Xue-Xun Guo Hubei Key Laboratory of Advanced Technology of Automotive Parts Wuhan University of Technology Hubei Collaborative Innovation Center for Automotive Components Technology Department of Electronics and Information Systems Akita Prefectural UniversityYuri-HonjoAkita 015-0055Japan Department of Control Science and Engineering University of Shanghai for Science and Technology Key Laboratory of Image Processing and Intelligent Control School of AutomationHuazhong University of Science and Technology

ISBN: (纸本)9781479947249

The problem of how to select a coordinate transformation matrix to improve the LMI conditions for H∞ staticoutput-feedback(SOF) control of discrete-time systems is a challenging open *** paper applies a newly proposed strategy to solve this *** iterative algorithm is developed to produce controllers with locally optimal closed-loop H∞*** algorithm is also applied to other H∞ SOF control problems,such as decentralized H∞ SOF control and simultaneous H∞ SOF ***,numerical examples are provided to demonstrate the effectiveness and advantages of the proposed method.

关键词： H∞ control,Static output feedback,Decentralized control,Simultaneous control,Linear matrix inequality(LMI)

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A Review of Artificial Fish Swarm Algorithms: Recent Advances and Applications

arXiv

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arXiv 2020年

作者： Pourpanah, Farhad Wang, Ran Lim, Chee Peng Wang, Xi-Zhao Yazdani, Danial College of Mathematics and Statistics Guangdong Key Lab. of Intelligent Information Processing Shenzhen University China Department of Electrical and Computer Engineering University of Windsor Canada College of Mathematics and Statistics Shenzhen Key Lab. of Advanced Machine Learning and Applications Guangdong Key Lab. of Intelligent Information Processing Shenzhen University China Institute for Intelligent Systems Research and Innovation Deakin University Australia College of Computer Science and Software Engineering Guangdong Key Lab. of Intelligent Information Processing Shenzhen University China School of Computer Science and Engineering Southern University of Science and Technology China

The Artificial Fish Swarm Algorithm (AFSA) is inspired by the ecological behaviors of fish schooling in nature, viz., the preying, swarming and following behaviors. Owing to a number of salient properties, which include flexibility, fast convergence, and insensitivity to the initial parameter settings, the family of AFSA has emerged as an effective Swarm Intelligence (SI) methodology that has been widely applied to solve real-world optimization problems. Since its introduction in 2002, many improved and hybrid AFSA models have been developed to tackle continuous, binary, and combinatorial optimization problems. This paper aims to present a concise review of the continuous AFSA, encompassing the original ASFA, its improvements and hybrid models, as well as their associated applications. We focus on articles published in high-quality journals since 2013. Our review provides insights into AFSA parameters modifications, procedure and sub-functions. The main reasons for these enhancements and the comparison results with other hybrid methods are discussed. In addition, hybrid, multi-objective and dynamic AFSA models that have been proposed to solve continuous optimization problems are elucidated. We also analyse possible AFSA enhancements and highlight future research directions for advancing AFSA-based models. Copyright © 2020, The Authors. All rights reserved.

关键词： Multiobjective optimization

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Predicting traffic speed in urban transportation subnetworks for multiple horizons

Predicting traffic speed in urban transportation subnetworks...

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International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Justin Dauwels Aamer Aslam Muhammad Tayyab Asif Xinyue Zhao Nikola Mitro Vie Andrzej Cichocki Patrick Jaillet School of Electrical and Electronic Engineering Nanyang Technological University Singapore Nanyang Technological University Singapore Singapore SG Laboratory for Advanced Brain Signal Processing RIKEN Saitama Japan Laboratory for Information and Decision Systems MIT Cambridge MA Center for Future Urban Mobility Singapore-MIT Alliance for Research and Technology Singapore

Traffic forecasting is increasingly taking on an important role in many intelligent transportation systems (ITS) applications. However, prediction is typically performed for individual road segments and prediction horizons. In this study, we focus on the problem of collective prediction for multiple road segments and prediction-horizons. To this end, we develop various matrix and tensor based models by applying partial least squares (PLS), higher order partial least squares (HO-PLS) and N-way partial least squares (N-PLS). These models can simultaneously forecast traffic conditions for multiple road segments and prediction-horizons. Moreover, they can also perform the task of feature selection efficiently. We analyze the performance of these models by performing multi-horizon prediction for an urban subnetwork in Singapore.

关键词： Roads Predictive models Tensile stress Vectors Matrix decomposition Feature extraction Prediction algorithms

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Spherical interpolated convolutional network with distance-feature density for 3D semantic segmentation of point clouds

arXiv

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arXiv 2020年

作者： Wang, Guangming Yang, Yehui Zhang, Huixin Liu, Zhe Wang, Hesheng Department of Automation Insititue of Medical Robotics Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong University Shanghai200240 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology China Department of Computer Science and Technology University of Cambridge United Kingdom

The semantic segmentation of point clouds is an important part of the environment perception for robots. However, it is difficult to directly adopt the traditional 3D convolution kernel to extract features from raw 3D point clouds because of the unstructured property of point clouds. In this paper, a spherical interpolated convolution operator is proposed to replace the traditional grid-shaped 3D convolution operator. This newly proposed feature extraction operator improves the accuracy of the network and reduces the parameters of the network. In addition, this paper analyzes the defect of point cloud interpolation methods based on the distance as the interpolation weight and proposes the self-learned distance-feature density by combining the distance and the feature correlation. The proposed method makes the feature extraction of spherical interpolated convolution network more rational and effective. The effectiveness of the proposed network is demonstrated on the 3D semantic segmentation task of point clouds. Experiments show that the proposed method achieves good performance on the ScanNet dataset and Paris-Lille-3D dataset. Copyright © 2020, The Authors. All rights reserved.

关键词： Semantic Segmentation

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An implementation of parallel production systems with two load balancing mechanisms

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systems AND COMPUTERS IN JAPAN 1995年第14期26卷 1-14页

作者： Miyazaki, J Yokota, H Member School of Information Science Japan Advanced Institute of Science and Technology Ishikawa-ken Japan 923 Received his B.E. degree from Tokyo Institute of Technology Tokyo Japan in 1992 and his M.S. degree from Japan Advanced Institute of Science and Technology (JAIST) Ishikawa Japan in 1994. He is a Ph.D. student at School of Information Science JAIST. His research interests include parallel rule base systems active database systems and high performance I/O systems. He is a member of the Institute of Electronics Information and Communication Engineers of Japan and Information Processing Society of Japan. Received his B.E. M.E. and Dr. of Eng. degrees from Tokyo Institute of Technology in 1980 1982 and 1991 respectively. He joined Fujitsu Ltd. in 1982 and was a researcher at the Institute of New Generation Computer Technology (ICOT) from 1982 to 1986 and at Fujitsu Laboratories Ltd. from 1986 to 1992. He is an Associate Professor of School of Information Science Japan Advanced Institute of Science and Technology (JAIST). HIS research interests include parallel computer architecture for databases and data engineering. He is a member of IPS I.E.I.C.E. JSAI IEEE and ACM.

An implementation method is proposed for parallel production systems on multicomputers, or message-passing computers, to speed up execution time. There have been proposed parallel production systems using hash mechanism, but they cause a skewed load distribution problem. To obtain more efficient balance of load, the method addressed here and named clustered parallel production systems (CPPS) adopts two load balancing strategies: hash and demand-driven. Taking account of the cost of termination detection, the execution time of the CPPS and simple hash method are estimated, and implement on an nCube2. The estimation meets the execution results. The CPPS provides much better load balance to improve scalability.

关键词： parallel production system multicomputer message-passing parallel computer load balancing

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NMF: an Efficient Method for Detecting the Fallen Leaves Using Cleaning Robots on the Road

NMF: an Efficient Method for Detecting the Fallen Leaves Usi...

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IEEE International Conference on Robotics and Biomimetics

作者： Yanzi Miao Zongwei Zhang Hesheng Wang Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China China University of Mining and Technology Xuzhou China Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong University Shanghai China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China

ISBN: (纸本)9781665405362

The improvement of urban greening level makes sanitary work more complicated and difficult, especially, for the seasonal leaf cleaning on roads in the park, campus etc.. With the rapid development of computer vision, it is a feasible and innovative way to detect and clean the fallen leaves effectively with intelligent robot. However, since the irregular shape and size, uneven distribution of fallen leaves and complex outdoor conditions, especially the densely stacked leaves, even current advanced object detection algorithm has no satisfactory effect on detection of fallen leaves. To deal with the dense leaves detection problem and improve navigation efficiency, we propose a Non-Maximum Fusion(NMF) algorithm. NMF scales the high-confidence box with the pre-defined δ to fuse intersecting and adjacent boxes instead of supressing these boxes. The experiments on the fallen leaves data set shows that NMF improves the fallen leaves detection coverage significantly and the coverage reaches to 95%. Also, NMF greatly reduces the number of goal nodes for path planning. Since NMF functions at the back end of detector to process detection boxes without training, it can be intergrated into any fallen leaves detection pipeline easily.

关键词： Training Navigation Shape Roads Pipelines Green products Object detection

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Optimal denial-of-service attack energy management over an SINR-based network

arXiv

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arXiv 2018年

作者： Qin, Jiahu Li, Menglin Shi, Ling Kang, Yu Department of Automation University of Science and Technology of China Hefei230027 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Department of Automation State Key Laboratory of Fire Science Institute of Advanced Technology University of Science and Technology of China Hefei230027 China Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems Chinese Academy of Sciences Beijing100190 China

We consider a scenario in which a DoS attacker with the limited power resource and the purpose of degrading the system performance, jams a wireless network through which the packet from a sensor is sent to a remote estimator to estimate the system state. To degrade the estimation quality most effectively with a given energy budget, the attacker aims to solve the problem of how much power to obstruct the channel each time, which is the recently proposed optimal attack energy management problem. The existing works are built on an ideal network model in which the packet dropout never occurs when the attack is absent. To encompass wireless transmission losses, we introduce the signal-to-interference-plus-noise ratio-based network. First we focus on the case when the attacker employs the constant power level. To maximize the expected terminal estimation error at the remote estimator, we provide some sufficient conditions for the existence of an explicit solution to the optimal static attack energy management problem and the solution is constructed. Compared with the existing result in which corresponding sufficient conditions work only when the system matrix is normal, the obtained conditions in this paper are viable for a general system and shown to be more relaxed. For the other important index of system performance, the average expected estimation error, the associated sufficient conditions are also derived based on a different analysis approach with the existing work. And a feasible method is presented for both indexes to seek the optimal constant attack power level when the system fails to meet the proposed sufficient conditions. Then when the real-time ACK information can be acquired, the attacker desires a time-varying power attack strategy, based on which a Markov decision process (MDP) based algorithm is designed to solve the optimal dynamic attack energy management problem. We further study the optimal tradeoff between attack energy and system degradation. Spec

关键词： Signal interference

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Extracting commuting patterns in railway networks through matrix decompositions

Extracting commuting patterns in railway networks through ma...

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International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Shashank Jere Justin Dauwels Muhammad Tayyab Asif Nikola Mitro Vie Andrzej Cichocki Patrick Jaillet School of Electrical and Electronic Engineering Nanyang Technological University Singapore Nanyang Technological University Singapore Singapore SG Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Japan Laboratory for Information and Decision Systems MIT Cambridge MA USA Center for Future Urban Mobility Singapore-MIT Alliance for Research and Technology Singapore

With the rise in the population of the world's cities, understanding the dynamics of commuters' transportation patterns has become crucial in the planning and management of urban facilities and services. In this study, we analyze how commuter patterns change during different time instances such as between weekdays and weekends. To this end, we propose two data mining techniques, namely Common Orthogonal Basis Extraction (COBE), and Joint and Individual Variation Explained (JIVE) for Integrated Analysis of Multiple Data Types and apply them to smart card data available for passengers in Singapore. We also discuss the issues of model selection and interpretability of these methods. The joint and individual patterns can help transportation companies optimize their resources in light of changes in commuter mobility behavior.

关键词： Joints Computational modeling Smart cards Transportation Complexity theory Matrix decomposition Mathematical model

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