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2013 13th Canadian Workshop on Information Theory (CWIT)
The 13th Canadian Workshop on Information Theory will take place in Toronto, Ontario, Canada from Tuesday, May 28, to Friday, May 31, 2013. Previously unpublished contributions from a broad range of topics in information theory and its applications are solicited, including (but not limited to) the following areas: Coded modulation, Coding theory and practice, Communication complexity, Communication systems, Cryptology and data security, Data compression, Detection and estimation, Information theory and statistics, Network coding, Interactive information theory, Pattern recognition and learning, Quantum information processing, Shannon theory, Signal processing, Cognitive radio, Cooperative communication, Multi-terminal information theory, and Information theory in biology. International researchers are welcome to attend and present research at this event.
2013 13th International Conference on Control, Automaton and Systems (ICCAS)
Control Theory and Application, Intelligent Systems, Industrial Applications of Control,Sensor and Signal Processing, Control Devices and Instruments, Robot Control, RobotVision, Human-Robot Interaction, Robotic Applications, Unmanned Vehicle Systems...
2013 International Conference on Machine Learning and Cybernetics (ICMLC)
Statistical Machine Learning, Intelligent & fuzzy control, Pattern Recognition , Ensemble method, Evolutionary computation, Fuzzy & rough set, Data & web mining , Intelligent Business Computing , Biometrics , Bioinformatics , Information retrieval, Cybersecurity, Web intelligence and technology, Semantics & ontology engineering, Social Networks & Ubiquitous Intelligence, Multicriteria decision making, Soft Computing, Intelligent Systems, Speech, Image & Video Processing, Decision Support System
2012 IEEE International Conference on Automation and Logistics (ICAL)
Automation, logistics, and related areas.
IEEE ICCA 2001 aims to create a forum for scientists and practicing engineers throughout the world to present the latest research findings and ideas in the areas of control and automation.
Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.
The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.
Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.
Requirements, planning, analysis, reliability, operation, and economics of electrical generating, transmission, and distribution systems for industrial, commercial, public, and domestic consumption.
Rapid dissemination of new results in signal processing world-wide.
Singh, N. Reliability, IEEE Transactions on, 1985
A state-space model is considered for estimating the time-varying availability of a system through the Bayes approach. A comparative study of conjugate and noninformative priors is made. An approximation to the highest posterior density interval estimate is given. A numerical example is discussed for illustration. Solutions to some special forms of the state-space model are given.
Barcelo, F.; Sanchez, J.I. Vehicular Technology Conference, 1999 IEEE 49th, 1999
This paper is focused on the statistical analysis of the call arrival process in channels of mobile telephony access networks. The approach is fully empirical, and is based on actual activity data, collected from real base stations in a working mobile network. The arrival process of the merged "fresh" (new calls) and handover traffic is proved to be smoother than ...
Harremoes, P.; Topsoe, F. Information Theory, IEEE Transactions on, 2001
To any discrete probability distribution P we can associate its entropy H(P)=-Σpi ln pi and its index of coincidence IC(P)=Σpi2. The main result of the paper is the determination of the precise range of the map P->(IC(P), H(P)). The range looks much like that of the map P->(Pmax, H(P)) where Pmax is the maximal point probability, cf. research from 1965 ...
Qingfeng Chen; Chen, Y.-P.P. NanoBioscience, IEEE Transactions on, 2011
Abnormal kinase activity is a frequent cause of diseases, which makes kinases a promising pharmacological target. Thus, it is critical to identify the characteristics of protein kinases regulation by studying the activation and inhibition of kinase subunits in response to varied stimuli. Bayesian network (BN) is a formalism for probabilistic reasoning that has been widely used for learning dependency models. ...
Yunlong Chen; Wu Ye; Suili Feng; Xing Xu Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on, 2005
This paper firstly reviews long range-dependence (LRD), self-similarity and scaling in network traffic traces. After remarking on several hierarchical MMPP models, we focus on a promising model. We search intrinsic orderliness and obtain approximate relations in the measured traffic trace by the AV estimator. Then, the paper gives a more accurate fitting approach for model parameters through interactive self-study method, ...
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