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2013 10th IEEE International Conference on Control and Automation (ICCA)
IEEE ICCA 2013 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.
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 Previously unpublished contributions from a broad range of topics in information theory and its applications are solicited, including (but not limited to) the following areas: Coded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 stat
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, Robot Vision, 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.
Sasaki, Y.; Imai, H.; Tsunoyama, M.; Ishii, I. Dependable Computing, 2001. Proceedings. 2001 Pacific Rim International Symposium on , 2001
Several probability distribution functions such as exponential distribution function have been used to represent the task arrival process and processing time of tasks for multimedia systems. These distribution functions are simple, memory less, and easy-to-use, however,they are difficult to represent the task arrival process of multimedia stream data or audio data having real-time properties. This paper proposes a method for ...
Xian-Chuan Yu; Zhong-Yi Yuan; Chen Yu; Meng Yang Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on , 2005
Generally, we get probability distribution quantile by looking through numerical tables, however, it is not only easy to make mistake, but also limited in precision, no more than 0.0001. And programming techniques up to now are either too restrictive to be applied to general cases, or too complicated to be implemented for practical use. Therefore, there is a need for ...
Noratiqah, S.; Asmat, A.; Mansor, S. Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on , 2012
Wind in Malaysia varies according to the Northeast and Southwest monsoon. The transition period of the two monsoons, April and October intermonsoon also influence the wind in Malaysia. The determination of the fit wind speed distribution has become a vital process in wind energy estimation and coastal engineering application. However, previous study focuses only on the fit annual distribution instead ...
Na Luo; Feng Qian Control and Automation (ICCA), 2010 8th IEEE International Conference on , 2010
Estimation of Distribution Algorithm is a new population based evolutionary optimization method and it generates new population from probability distribution model. Like most evolutionary algorithms, it is easy to trap into local optimums. In order to avoid this shortcoming, Gaussian and Cauchy probability density function are mixed as probability distribution model. For continuous problems, a new estimation of distribution algorithm ...
Opathella, C.; Venkatesh, B.; Dukpa, A. IPEC, 2010 Conference Proceedings , 2010
A distribution system planning exercise forecasts both buswise peak load and annual wind generation and typically these forecasts have different probability distributions. A solution method for power balance equations of such a planned system should include probabilistic modeling of bus loads and wind generation. This paper proposes a probabilistic load flow method for a distribution system that takes into account ...
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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.