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Web page quality estimation based on linear discriminant function

Journal of Computational Information systems 2007年第3期3卷 1117-1126页

作者： Cen, Rongwei Liu, Yiqun Zhang, Min Ru, Liyun Ma, Shaoping State Key Lab. of Intelligent Technology and Systems Tsinghua University Beijing 100084 China Sogou R and D Center Beijing 100000 China

With the exponential growth of Web data, how to estimate Web page quality effectively and rapidly becomes more and more important for Web information retrieval and knowledge discovery. In this paper, we analyze the differences between retrieval target pages and ordinary pages using query-independent features. Using these features, an algorithm called Linear Page Quality Estimation (LPQE) is proposed for Web page quality estimation. Based on the experiments on. GOV corpus and SOGOU corpus involving 26 million pages, about 95% pages can be reduced with more than 90% retrieval target pages retained using LPQE algorithm. Experimental results based on TREC datasets also show that the retrieval performance on collections selected by LPQE can be close to or even better than that on the whole collection.

关键词： Information retrieval

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A Reinforcement Learning Algorithm for Underwater Environment Search 2

A Reinforcement Learning Algorithm for Underwater Environmen...

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2022 2nd International Conference on Artificial Intelligence, Big Data and Algorithms, CAIBDA 2022

作者： Xiong, Minglei Xie, Guangming State Key Laboratory for Turbulence and Complex Systems Intelligent Biomimetic Design Lab. College of Engineering Peking University Beijing100871 China Peng Cheng Laboratory Shenzhen518055 China Robot Technology Co. Ltd. Beijing100176 China

ISBN: (纸本)9783800760268

Known as an intelligent learning algorithm that can be employed without any sufficient prior information, the reinforcement learning algorithm has been widely used recently. The underwater unknown 3D environment search is a typical application scenario lacking any prior knowledge. This study proposes an algorithm framework including one agent and an intelligent swarm based on the idea of reinforcement learning. This learning algorithm can be adopted to train only one individual. Many of such individuals will then create an intelligent group which can efficiently and completely search underwater unknown 3D environments. Moreover, the proposed algorithm needs no further prior knowledge of the unknown environment. Even if the algorithm fails to reach the optimal level in the use of reinforcement learning, the results confirm the applicability prospect of reinforcement learning in this field and provide an appealing direction. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Learning algorithms

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Forming Circle Formations of Multi-agent systems Under Actuator Faults 5th

Forming Circle Formations of Multi-agent Systems Under Actu...

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5th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2021

作者： Liu, Jiajun Ru, Xinfeng Xia, Weiguo Wang, Chen China National Aeronautical Radio Electronic Research Institute and National Key Laboratory of Science and Technology on Avionics System Integration Shanghai China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education and School of Control Science and Engineering Dalian University of Technology Dalian China National Engineering Research Center of Software Engineering and the State Key Laboratory of Turbulence and Complex Systems Intelligent Biomimetic Design Lab College of Engineering Peking University Beijing China

ISBN: (纸本)9789811939976

A distributed fault-tolerant formation control law is designed in this paper for multi-agent systems under external disturbances and actuator faults including time-varying loss of effectiveness faults. The initial position of each agent is already on a circle and the control purpose is to form a desired formation on this circle. Based on this local information, a distributed adaptive formation control law is designed by employing the congelation of variables method to deal with time-varying actuator faults. Finally, a simulation example is given to verify the effectiveness of the adaptive fault-tolerant control design method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Multi agent systems

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Output feedback adaptive robust learning control of a class of nonlinear systems with periodic disturbances

Output feedback adaptive robust learning control of a class ...

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作者： Liu, Xiangbin Hou, Zhongsheng Yao, Bin Su, Hongye Sun, Mingxuan Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 China School of Mechanical Engineering Purdue University West Lafayette IN 47907 United States State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China College of Information Engineering Zhejiang University of Technology Hangzhou 310032 China

ISBN: (纸本)9783902661937

In this paper, a discontinuous projection-based output feedback adaptive robust learning control (OARLC) scheme is constructed for a class of nonlinear systems in a semi-strict feedback form by incorporating an observer and a dynamic normalization signal. Since only output signal is availab.e for measurement, an observer is firstly designed to provide exponentially convergent estimates of the unmeasurable states. Using certain known basis functions to capture the characteristics of unknown general periodic disturbances, the discontinuous projection type adaptation law can then be used to tune the amplitudes of those basis functions on-line to recover the unknown general periodic disturbances asymptotically. The estimation errors due to the unknown initial states, uncompensated disturbances, and the uncertain nonlinearities are also effectively dealt with via certain robust feedback at each step of the proposed OARLC backstepping design. The resulting controller achieves a guaranteed transient and a prescribed final tracking accuracy for output tracking performance. In addition, when the general periodic disturbances fall within the approximation ranges of the periodic basis functions, asymptotic output tracking performance is achieved as well. © 2011 IFAC.

关键词： Feedback

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Object Recognition using Tactile and Image Information

Object Recognition using Tactile and Image Information

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IEEE International Conference on Robotics and Biomimetics

作者： Jingwei Yang Huaping Liu Fuchun Sun Meng Gao Department of Computer Science and Technology Tsinghua University State Key Lab. of Intelligent Technology and Systems TNLIST Beijing China

ISBN: (纸本)9781467396769

Camera provides rich information about objects and therefore becomes the mainstream sensors in robots. However, it often fails when the objects are not visual-distinguished. As a complementary, tactile sensors in the robotic fingertips can be used to capture multiple object properties such as texture, roughness, spatial features, compliance or friction and therefore becomes a very important sense modality for intelligent robot. Nevertheless, how to effective fuse both modality is still a challenging problem. In this paper, we developed tactile-image fusion framework for object recognition task. The multivariate times series model is used to represent the tactile sequence and the covariance descriptor is used to characterize the image. We also develop a practical dataset which includes 18 household object for verification and the experimental results shows that the performance of tactile-image is obviously better than using single modality.

关键词： tactile-image fusion multivariate times series covariance descriptor

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Design of Variance-Constrained H∞state Estimation Algorithm for Delayed Memristive Neural Networks with Attacks: An Adaptive Event-Triggered Approach 8

Design of Variance-Constrained H∞State Estimation Algorithm...

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8th IEEE International Conference on Cloud Computing and Intelligence systems, CCIS 2022

作者： Gao, Yan Hu, Jun Yu, Hui Jia, Chaoqing Harbin University of Science and Technology Department of Mathematics Harbin150080 China Harbin University of Science and Technology School of Automation Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China

ISBN: (纸本)9781665477352

This paper studies the algorithm design of variance-constrained H∞ state estimation problem for delayed memristive neural networks with adaptive event-triggered mechanism. The denial-of-service attacks are modeled by a series of random variables obeying the Bernoulli distribution with known probability. In addition, the adaptive event-triggered mechanism is introduced into the sensor-to-estimator to avoid unnecessary resource consumption. Our purpose is to construct a finite-horizon state estimation algorithm, and sufficient condition is obtained for the estimation error system satisfying the H∞ performance requirement and the error variance boundedness. Finally, a numerical example is used to illustrate the feasibility of the presented H∞ state estimation algorithm. © 2022 IEEE.

关键词： state estimation

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Quantized control for Highly Nonlinear Stochastic systems with Multiple Delays under DoS Attacks 42

Quantized Control for Highly Nonlinear Stochastic Systems wi...

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42nd Chinese control Conference, CCC 2023

作者： Zhao, Hairui Chen, Dongyan Hu, Jun School of Science Harbin University of Science and Technology Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China School of Automation Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9789887581543

In this paper, the quantized control problem is discussed for a class of highly nonlinear stochastic systems with multiple delays under the DoS attacks. The coefficients are allowed to be highly nonlinear, and the control input is subject to the quantization effects and the DoS attacks. The aim is to deal with the stabilization problem for unstable highly nonlinear stochastic systems with multiple delays. The p-th moment exponential stability and almost surely exponential stability are discussed in light of the Lyapunov theory. Finally, an illustrative example is given to verify the validity of the theoretical results. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Denial-of-service attack

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A Bibliometric Analysis of Blockchain Research

A Bibliometric Analysis of Blockchain Research

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2018 IEEE intelligent Vehicles Symposium, IV 2018

作者： Zeng, Shuai Ni, Xiaochun Yuan, Yong Wang, Fei-Yue State Key Lab for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Qingdao Academy of Intelligent Industries Shandong266000 China Research Center of Military Computational Experiments and Parallel System National University of Defense China

ISBN: (纸本)9781538644522

Taking Ei Compendex (EI) and China National Knowledge Infrastructure (CNKI) databases as the literature sources, this paper presented a bibliographic analysis of the blockchain-related literature between January 2011 and September 2017. For each literature source, we built a separate dataset. Authors' productivity and collab.ration, affiliation of authors and collab.ration amongst institutions were analyzed using techniques of social networks analysis on both datasets. According to the results, the CNKI authors/institutes raised their productivity and outperformed the EI authors/institutes since 2016. However, the EI authors/institutes show a higher level than the CNKI authors/institutes in collab.ration. We also summarized the hot topics on the EI dataset using textual analysis and discovered researchers have shifted their attention from Bitcoin itself to the blockchain technology underlying it. © 2018 IEEE.

关键词： Blockchain

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Equivalent capacity of the lower voltage ride through for wind farm from overcurrent protection in power collection lines

Equivalent capacity of the lower voltage ride through for wi...

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11th IET International Conference on Developments in Power systems Protection, DPSP 2012

作者： Wang, Bin Dong, Xinzhou Bo, Zhiqian State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China Alstom Grid Stafford ST17 4LX United Kingdom

ISBN: (纸本)9781849196208

Magnitude and duration of voltage sags are the most important two factors to the Lower Voltage Ride Through (LVRT) capacity of the wind generator. Since most voltage sags are caused by the system faults, and sag durations are controlled by the tripping time of overcurrent relay in power collection lines based on the sags' magnitude. The specification of the LVRT capacity of wind generator is introduced into the operation characteristics of the relay in power collection lines. The evaluation model of equivalent LVRT capacity to overcurrent protection is proposed in paper, and the equivalent LVRT capacities from zone I and zone II relay are quantified. Improvement measures are also proposed.

关键词： Overcurrent protection

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Summary of health index theory and application of state maintenance equipment 5

Summary of health index theory and application of state main...

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5th International Conference on Reliability of Electrical Products and Electrical Contacts, ICREPEC 2014

作者： Cheng, Lin Manjun, L.I.U. Peng, Feijin Dept. of Elec. Eng. Tsinghua University State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Beijing100084 China Guangdong Power Grid Company Foshan Power Supply Bureau Foshan528010 China

ISBN: (纸本)9789881532329

This paper describes several methods for condition-based maintenance, introduced CBM, RCM development process, the main theoretical logic, techniques and practices. Focuses on the health index based on equipment maintenance strategies, namely CBRM. Focused on the development of narrative context, theoretical foundation, model healthy index. And for its application in power transformers were introduced.

关键词： Condition based maintenance

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