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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3347卷 346-352页

作者： Boora, Niranjan K. Bhattacharyya, Chiranjib Gopinath, K. Dept. of Electrical Engineering Bangalore India Dept. of Computer Science and Automation Indian Institute of Science Bangalore India

Detecting user to root attacks is an important intrusion detection task. This paper uses a mix of spectrum kernels and probabilistic suffix trees as a possible solution for detecting such intrusions efficiently. Experimental results on two real world datasets show that the proposed approach outperforms the state of the art Fisher kernel based methods in terms of speed with no loss of accuracy. © Springer-Verlag 2004.

关键词： Intrusion detection

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Prediction of preterm infant mortality with Gaussian process classification 25

Prediction of preterm infant mortality with Gaussian process...

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25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017

作者： Rinta-Koski, Olli-Pekka Särkkä, Simo Hollmén, Jaakko Leskinen, Markus Andersson, Sture Aalto University Department of Computer Science Espoo Finland Aalto University Dept. of Electrical Engineering and Automation Espoo Finland University of Helsinki Helsinki University Hospital Helsinki Finland

ISBN: (纸本)9782875870391

We present a method for predicting preterm infant inhospital- mortality using Bayesian Gaussian process classification. We combined features extracted from sensor measurements, made during the first 24 hours of care for 581 Very Low Birth Weight infants, with standard clinical features calculated on arrival at the Neonatal Intensive Care Unit. We achieved a classification result with area under curve of 0.94 (standard error 0.02), which is in excess of the results achieved by using the clinical standard SNAP-II and SNAPPE-II scores. © ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. All rights reserved.

关键词： Gaussian noise (electronic)

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Local energy micro-storage systems in smart communities with active, reactive and harmonic control 16

Local energy micro-storage systems in smart communities with...

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16th International Conference on Environment and Electrical engineering, EEEIC 2016

作者： Milanes-Montero, Maria-Isabel Gonzalez-Romera, Eva Barrero-Gonzalez, Fermin Romero-Cadaval, Enrique Moreno-Munoz, Antonio Electrical Electronic and Automation Engineering Dept. University of Extremadura Badajoz Spain Computer Architecture Electronics and Electronic Technology Department Universidad de Córdoba Córdoba Spain

ISBN: (纸本)9781509023196

This paper aims to provide control strategies for distributed micro-storage energy systems at the residential level to contribute to smart grid goals. The operation of local Energy Storage Systems (ESS) at homes in a Smart Community with distributed generation based of renewable energies is analyzed by simulation. Each individual home receive the active and reactive power set-points from the Smart Community Energy Management System (SCEMS), acting as an aggregator of resources in the community according to the expected demand and production. Besides, in case the ESS has got available capacity, once the SCEMS requirements are satisfied, it is used to inject the harmonic current components demanded by the household circuitry. It allows a local improvement in the power quality of the demanded current, and so contributes to the global power quality consumption of the community. Simulation results showing the operation of the local ESS are presented to validate the proposed control strategies. © 2016 IEEE.

关键词： Energy management systems

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Multi-agent controllability with tree topology

Multi-agent controllability with tree topology

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作者： Ji, Zhijian Lin, Hai Lee, Tong Heng Ling, Qiang College of Automation Engineering Qingdao University Qingdao 266071 China Department of Electrical and Computer Engineering National University of Singapore 117576 Singapore Singapore Dept. of Automation University of Science and Technology of China Hefei Anhui 230027 China

ISBN: (纸本)9781424474264

This paper focuses on the controllability of multi-agent systems with tree topology. The connection on controllability/uncontrollability between a single leader and multiple leaders is revealed, as well as the relationship between controllability and the common eigenvalues of components is analyzed. After that, a constructive approach is outlined to find out various uncontrollable subgraphs when the whole interconnection tree graph is uncontrollable, and a necessary and sufficient condition is presented for multi-agent controllability with tree topology. © 2010 AACC.

关键词： Controllability

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Accelerating numerical simulations of spin-wave dynamics on FPGA 15

Accelerating numerical simulations of spin-wave dynamics on ...

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15th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2016

作者： Kiss, András Nagy, Zoltán Szolgay, Péter Csaba, György Porod, Wolfgang Computer and Automation Research Institute Hungarian Academy of Sciences Dept. Information Technology Pázmány Péter Catholic University Budapest Hungary Dept. of Electrical Engineering University of Notre Dame Notre DameIN United States

ISBN: (纸本)9783800742523

There is a great attention on researches where possible alternatives to the CMOS chip based computer systems are examined, such as the computer systems based on the principle of magnetic spin waves. Theoretically these systems have low-loss, high speed and possibly non-volatile memories. By using simulations the positioning of the spin based structures and their consequences, the outputs can be tested, namely the operations on the input is determined by the topology. The result is affected by the shape and the distance of the cells which transmits waves. The question of how to get from a series of input to the desired output can be determined by using genetic algorithm. In micro magnetic simulations one of the hardest part of the simulation is the computation of the magnetic field, which is a long-range interaction. The goal is the acceleration of a magnetic-field simulator based on FPGA. © VDE VERLAG GMBH.

关键词： Magnetic fields

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Modified Smith Predictor and controller for time-delay process with uncertainty

Modified Smith Predictor and controller for time-delay proce...

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6th World Congress on Intelligent Control and automation, WCICA 2006

作者： Wang, Shihua Xu, Bugong Wang, Qingyang Liu, Yun-Hui Lab. of Real-Time Control Through Internet and Fieldbuses College of Automation Science and Engineering South China Univ. of Technology Guangzhou 510640 China Dept. of Automation and Computer Aided Engineering Chinese University of Hong Kong Shatin NT Hong Kong

ISBN: (纸本)1424403324

Smith Predictor is very sensitive to uncertain system with variable time-delay. Using dual-locus diagram method, we first analyse the essence of Smith Predictor's sensitivity and present a proposition to illustrate the system stability criteria with relation to system gain and time-delay variation. Then a new modified Smith Predictor is proposed to compensate the variable time-delay system with uncertain model for set-point tracking. After that, we discuss the system internal stability and give two-degree freedom controller self-adaptive to eliminate the impact of system uncertainty with varying time-delay. Examples show the improved performance compared to previous Modified Smith Predictor structures. © 2006 IEEE.

关键词： Uncertain systems

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Energy-Optimized Offloading of Delay-Sensitive Tasks in Hybrid Edge-Cloud Computing

Energy-Optimized Offloading of Delay-Sensitive Tasks in Hybr...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Yuan, Haitao Wang, Shen Ma, Yaofei Bi, Jing Yang, Jinhong Zhang, Jia Zhou, MengChu School of Automation Science and Electrical Engineering Beihang University Beijing100191 China College of Computer Beijing University of Technology Beijing100124 China Cssc Systems Engineering Research Institute Beijing China Southern Methodist University Dept. of Computer Science DallasTX75275 United States New Jersey Institute of Technology Dept. of Electrical and Computer Engineering NewarkNJ07102 United States

ISBN: (纸本)9781665410205

Currently, a cloud-edge collaborative system combines almost unlimited storage and computing resources where tasks can be migrated to high-performance servers in edge servers or the cloud. However, resource allocation and task offloading present big challenges due to the competition among mobile devices (MDs) for communication and computing resources of edge servers. Therefore, it is significant to properly offload MDs' tasks to edge servers or the cloud. This work proposes a collaborative edge-cloud architecture, including a centralized cloud, edge servers, and MDs. Then, this work jointly considers computing power, task sizes, computing resources, transmission power of MDs, transmission rates, computing power, transmission power, computing resource of edge servers, and computing resource of the cloud. Considering the abovementioned factors, this work designs a mixed-integer non-linear programming problem. To solve it, a Genetic Simulated annealing-based Particle Swarm Optimization (GSPSO) algorithm is proposed to obtain the best solution. Building upon it, this work proposes an energy-minimized task offloading and resource allocation strategy, thereby minimizing the system's energy consumption while ensuring strict task response time limits. Experimental results show that GSPSO reduces the system's energy by 66.34%, 34.65%, and 4.95% more than particle swarm optimization (PSO), self-adaptive PSO, and Tyrannosaurus optimization. © 2024 IEEE.

关键词： Mobile edge computing

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Time varying analysis is model for cracks causality of concrete dams

Time varying analysis is model for cracks causality of concr...

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Earth and Space Conference 2008: Proceedings of the 11th Aerospace Division International Conference on engineering, Science, Construction, and Operations in Challenging Environments

作者： Su, Huaizhi Hu, Jiang Wen, Zhiping Wu, Zhongru Bin, Zhao College of Water Conservancy and Hydropower Engineering Hohai University Nanjing 210098 China Dept. of Computer Engineering Nanjing Institute of Technology Nanjing 210013 China Nanjing Automation Research Institute Nanjing 210003 China

ISBN: (纸本)9780784409886

The main factors of influencing the crack change of concrete dams can be reduced to three parts of water pressure, temperature and aging, but it is very difficult to get the effects of this three parts respectively. The nonlinear time-varying relationship between the crack change and its influencing factors is very strong. Using the unique ability of data analysis and learning of artificial neural network, and through the intercrossing of dam construction knowledge, then a good approach to solve these problems can be offered. In this paper, based on in-situ monitoring data of concrete dams, from the angle of machine learning, the time varying analysis model for causality of cracks of concrete dams is introduced, and the evolution law of load cracks with the change of time and load is analyzed and forecasted. The example indicates that the model can finely describe and forecast the time varying characteristic of cracks causality in concrete dams, and can give each factor's contribution to crack opening.

关键词： Cracks

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Energy-Efficient and Latency-Optimized Computation Offloading with Improved MOEA for Industrial Internet of Things

Energy-Efficient and Latency-Optimized Computation Offloadin...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Zhai, Jiahui Bi, Jing Yuan, Haitao Yang, Jinhong Zhang, Jia Zhou, MengChu College of Computer Beijing University of Technology Beijing100124 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Cssc Systems Engineering Research Institute Beijing China Southern Methodist University Dept. of Computer Science DallasTX75275 United States New Jersey Institute of Technology Dept. of Electrical and Computer Engineering NewarkNJ07102 United States

ISBN: (纸本)9781665410205

The unprecedented prosperity of the industrial Internet of Things has thoroughly facilitated the transition from traditional manufacturing towards intelligent manufacturing. In industrial environments, resource-constrained industrial equipments (IEs) often fail to meet the diverse demands of numerous compute-intensive and latency-sensitive tasks. Mobile edge computing has emerged as an innovative paradigm for lower latency and energy consumption for IEs. However, computational offloading and coordinating of multiple IEs with diverse task types and multiple edge nodes in industrial environments poses challenges. To address this challenge, we propose a multi-task approach encompassing scientific and concurrent workflow tasks to achieve energy-efficient and latency-optimized computation offloading. Furthermore, this work designs an improved Quantum Multi-objective Grey wolf optimizer with Manta ray foraging and Associative learning (QMGMA) to optimize multi-task computation offloading. Comprehensive experiments demonstrate the superior efficiency and stability of QMAGA compared to state-of-the-art algorithms in balancing latency and energy consumption. QMAGA improves average inverse generation distance and average spacing by 37% and 31% on average than multi-objective grey wolf optimizer, non-dominated sorting genetic algorithm II, and multi-objective multi-verse optimization, proving the convergence and diversity of its non-dominated solutions. © 2024 IEEE.

关键词： Smart manufacturing

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Supermedia in internet-based telerobotic operations 4th

Supermedia in internet-based telerobotic operations

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4th IFIP/IEEE International Conference on Management of Multimedia Networks and Services, MMNS 2001

作者： Elhajj, Imad Xi, Ning Fung, Wai Keung Liu, Yun Hui Li, Wen J. Kaga, Tomoyuki Fukuda, Toshio Dept. of Electrical and Computer Engineering Michigan State University East LansingMI48824 United States Dept. of Automation and Computer-Aided Engineering Chinese University of Hong Kong Shatin N.T Hong Kong Center for Cooperative Research in Advanced Science and Technology Nagoya University Nagoya464-8603 Japan

ISBN: (纸本)9783540455080

In the past decade robotics and the Internet, fed by the great advances in computing and networking, matured into giant interdisciplinary scientific fields. Therefore, it is not surprising that many are trying to merge these two technologies and develop Internet-based robotic teleoperation. More interestingly, Internet-based bilateral teleoperation, where supermedia is fed back to the operator in order to increase efficiency and achieve telepresence. Supermedia is the collection of multimedia (video, audio,…), haptic and other sensory information. This paper studies supermedia enhanced teleoperation via the Internet, concentrating on the real-time control of such systems and their performance. The potential of this technology and its advantages will be explored. In addition, key issues, such as stability, synchronization and transparency, will be analyzed and studied. Specifically, event-based planning and control of Internet-based teleoperation systems is presented with experimental results of several implemented system scenarios. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Real time control

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