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Multipoint organizational evolutionary algorithm for globally minimizing functions of many variables

Multipoint organizational evolutionary algorithm for globall...

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2007 2nd International Conference on Pervasive Computing and Applications, ICPCA'07

作者： Yanping, Lu Shaozi, Li Changle, Zhou Intelligent Multimedia Technology Lab. Computer Science Dep. Xiamen University Xiamen China

ISBN: (纸本)1424409713

In this paper, we design a variant of the organizational evolutionary algorithm (OEA), called the multipoint organizational evolutionary algorithm (mOEA), for global optimization of multimodal functions. Our objective is to apply crossover strategy of multiple points to enhance the OEA, so that the resulting algorithm can improve the precision of the solutions and have a fast convergence rate. In the mOEA, crossover among many leaders enables the diversity of the leader swarm to be preserved to discourage premature convergence. Another new organizational operator, the integrating operation replacing Annexing manipulation, guarantees members of each organization to converge to the leader fast and also have a good diversity due to mutation. Experiments on six complex optimization benchmark functions with 30 or 100 dimensions and very large numbers of local minima show that, comparing with the original OEA and CLPSO, mOEA effectively converges faster, results in better optima, is more robust. © 2007 IEEE.

关键词： Evolutionary algorithms

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A decision-making model for intelligent agent with internal state

A decision-making model for intelligent agent with internal ...

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Proceedings of the 28th Annual International computer Software and Applications Conference;Workshop Papers and Fast Abstracts, COMPSAC 2004

作者： Hu, Shan-Li Wu, Hai-Yan Dep. of Computer Science and Technology Fuzhou University Fuzhou 350002 China Lab. of Computer Science ISCAS Beijing 100080 China

ISBN: (纸本)0769522092

Russell and Subramanian[1-2] considered decision-making model of agent as an function, which maps environment sequence or percept to action. This dep.ction can't represent the effects of internal state of intelligent agent to action selection. Wooldridge[1] considered internal state as basic condition of representing an intelligent agent. But in his decision-making model, action can affect internal state merely through changing environment. Thus, the internal state isn't suitable for including mental state of intelligent agents. Therefore, in this paper, we put forward two decision-making models for intelligent agents with internal state. In these two models, the action of agents not only can affect environment, then affect the internal state of agents through the percept of environment, but also can directly affect the internal state itself. This dep.ction of internal state is fit to include the mental state of agent, thus provide a suitable model for the decision-making of intelligent agents. © 2004 IEEE.

关键词： Decision making

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The decision scheme of frame importance factor for video streaming system

The decision scheme of frame importance factor for video str...

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International Conference on Broadband, Wireless Computing, Communication and Applications

作者： Kang, Huan-Yao Chang, Ching-Lung Dep. of Computer Science and Info. Engineering National Yunlin University of Science and Technology Taiwan

ISBN: (纸本)9780769542362

Following with the advancements in digitization technology and broadband communication technology, real-time video streaming service has become an essential one for next generation Internet. When transmitting compressed video across the Internet, however, one of the main challenges is packet error/loss. High coding dep.ndencies among video frames suffer from vulnerability to packet loss, which impacts the playback quality of video streaming. Losing an frame importance may cause a set of frames loss or damage as well. In this paper, we propose an effective important frame decision scheme in which the playback quality is considered. The results of this paper can be applied to the unequal frame protection scheme which targets to improve the video playback quality with minimal frame protection overhead. © 2010 IEEE.

关键词： Video streaming

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Novel cloud service for improving world universities ranking

Novel cloud service for improving world universities ranking

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9th International Conference on Information technology, ITNG 2012

作者： Hsieh, Shu-Ming Lo, Suu-An Hsu, Chiun-Chieh Lin, Wei-Chao Dep. Computer Science and Information Engineering Hwa Hsia Institute of Technology Taipei Taiwan Dep. Information Management National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (纸本)9780769546544

The Internet has emerged to be an effective platform for world universities to share their academic outcomes and to show their influence and contribution via constructing rich and easy-to-access web sites. At the same time, Webometrics Ranking of World Universities (WR), proposed by Centre for Scientific Information and Documentation (CSIC), ranks the world universities by the quantity of digital documents available on their web sites and the quality of the web pages measured by the incoming hyperlinks. Therefore, WR is currently recognized as an important index and opportunity for universities willing to promote themselves by the Internet technology. In this paper, we propose a novel cloud-based information providing system for Webometrics Rankings which employs web mining techniques to gather the WR indices from the Internet automatically, and provides useful information in real time for the managers of university web sites. The proposed system is dep.oyed on Microsoft Azure cloud platform in order to give up-to-data and deeper insights of the WR ranking indicators for its users. It utilizes the scalable computation and storage capability of the cloud platform to continually gather the WR index data from the Internet. The proposed system is designed with architecture suitable for cloud-based application such that the period to thoroughly update the WR ranking data is shortened from six months to be within one week. The proposed service model provides a paradigm for constructing cloud-based service of information providing applications. © 2012 IEEE.

关键词： Search engines

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Applying web mining techniques for constructing webometrics ranking early warning system

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2012 2nd International Conference on Materials Science and Information technology, MSIT 2012

作者： Hsieh, Shu-Ming Lo, Ssu-An Hsu, Chiun-Chieh Chen, Da-Ren Dep. Computer Science and Information Engineering Hwa Hsia Institute of Technology Taipei Taiwan Dep. Information Management National Taiwan University of Science and Technology Taiwan Dep. Information Management Hwa Hsia Institute of Technology Taipei Taiwan

ISBN: (纸本)9783037854389

The management of university web sites is becoming more critical than before due to the rapid growth of the population dep.ndent on the world wide web as the most important (if not the only) information source. A university can spread its research outcomes and education achievements through its web site, and consequently gain visibility and influence from the web population. Webometrics Ranking of World Universities (WR) proposed by Centre for Scientific Information and Documentation (CINDOC-CSIC), which ranks the university web sites, has obtained much attention recently. The rankings of WR are well recognized as an important index for universities willing to promote themselves by the internet technology. In this paper, we proposed WRES as an early warning system for Webometrics Rankings. WRES gathers the WR indices from the WWW automatically in flexible periods, and provides useful information in real time for the managers of university web sites. If the WR ranking of an institution is below the expected position according to their academic performance, university authorities should reconsider their web policy, by promoting substantial increases of the volume and quality of their electronic publications. Besides, the web site manages may adopt effective approaches to promote their WR rankings according to the hints given by WRES. © (2012) Trans Tech Publications, Switzerland.

关键词： Websites

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Abnormality detection and traffic flow measurement using a hybrid scheme of SIFT in distributed multi camera intersection monitoring

Abnormality detection and traffic flow measurement using a h...

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2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011

作者： Babaei, Peyman Fathy, Mahmood Dep. of Computer West Tehran Branch Islamic Azad University Tehran Iran Computer Faculty University of Science and Technology Tehran Iran

ISBN: (纸本)9781457715358

This paper presents an unsupervised abnormality detection method using a multi camera system with clustering in real time. Among the most important research in intelligent transportation systems (ITS), automatically intersection flow monitoring is one of the critical and challenging tasks. The proposed work addresses anomaly detection by means of trajectory analysis based on single support vector machine (single-SVM) clustering. The main problem associated with vehicle tracking is the occlusion effect. Using multiple views of cameras for producing a uniform tracking configuration is more suitable for vehicle's behaviour extraction. We use a hybrid scheme of scale invariant feature transform (SIFT) to detect and recognize vehicles in multi view system, so behaviour extraction is done more accurately and conveniently. The main focus of this paper is to extract traffic flows which assists in regulating traffic lights based on smart cameras. © 2011 IEEE.

关键词： Cameras

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Eye detection based on skin color analysis with different poses under varying illumination environment

Eye detection based on skin color analysis with different po...

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5th International Conference on Genetic and Evolutionary Computing, ICGEC2011

作者： Huang, Deng-Yuan Lin, Ta-Wei Hu, Wu-Chih Chen, Mu-Song Dep. of Electrical Engineering Dayeh University Changhua Taiwan Dep. of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan

ISBN: (纸本)9780769544496

In this paper, we propose a method of eye detection based on skin color analysis under varying illumination. The proposed method consists of several phases, including color conversion, skin color segmentation and face mask calculation, facial feature extraction and eye candidate determination, and detection of human eyes. To eliminate the effect of lighting change on the performance of eye detection, color conversion is first performed. Face mask calculation based on skin color segmentation is then carried out to reduce the possible searching region of human eyes. Eye candidates detected using facial features are used to define the possible human eyes. Human eyes are thus detected by the geometric features of gravity and spatial centers for these eye candidates. Results show that the proposed method works well for faces with different poses and multiple faces under varying illumination. The eye detection time of 21.8 ms is achieved for an image of size 213×320 pixels, indicating computational efficiency of the proposed system. © 2011 IEEE.

关键词： Computational efficiency

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A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades

A Data Mining Approach Based on a Local-Global Fuzzy Modelli...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： L.J. Herrera M.M. Pérez J. Santana R. Pulgar J. González H. Pomares I. Rojas Dep. Computer Architecture and Technology University of Granada Spain Dep. Optics University of Granada Spain Dep. Odontology University of Granada Spain Dep. Computer Architecture and Technology University of Granada

Tooth bleaching is receiving an increasing interest by patients and dentists since it is a relatively non-invasive approach for whitening and lightening teeth. Instrument designed for tooth color measurements and visual assessment with commercial shade guides are nowadays used to evaluate the tooth color. However, the degree of color change after tooth bleaching varied substantially among studies and currently, there are no objective guidelines to predict the effectiveness of a tooth bleaching treatment. Fuzzy logic is a well known paradigm for data modelling; their main advantage is their ability to provide an interpretable set of rules that can be later used by the scientists. However these models have the problem that the global approximation optimization can lead to a deficient rule local modelling. This work proposes a modified fuzzy model that performs a simultaneous global and local modelling. This property is reached thanks to a special partitioning of the input space in the fuzzy system. The proposed approach is used to approximate a set of color measurements taken after a bleaching treatment using the pre-bleaching measurements. The system uses as rule antecedents the colorimetric values of the VITA commercial shade guide. The expected post-bleaching colorimetric values are immediately obtained from the local models (rules) of the system thanks to the proposed modified fuzzy model. Additionally, these post-bleaching CIELAB coordinate values have been associated with VITA shades through the evaluation of their respective membership functions, approximating which VITA shades are expected after the treatment for each pre-bleaching VITA shade.

关键词： Data mining Predictive models Teeth Bleaching Fuzzy systems Instruments Dentistry Guidelines Fuzzy logic Medical treatment

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Speed sensorless vector controlled induction motor drive based stator and rotor resistances estimation taking core losses into account 19

Speed sensorless vector controlled induction motor drive bas...

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19th International Middle-East Power Systems Conference, MEPCON 2017

作者： Aziz, Ahmed G. Mahmoud A. Diab, Ahmed A. Zaki Sattar, Montaser Abd El Dep. of Electrical and Computer Engineering High Institute for Engineering and Technology Minia Egypt Dep. of Electrical Engineering Faculty of Engineering Mina University Minia Egypt

ISBN: (纸本)9781538609903

In this paper, a proposed sensorless vector controlled induction motor drive using a modified full order observer taking core losses in to account has been presented. The full order observer is designed to simultaneous estimation of stator and rotor resistance and rotor speed. Matlab /Simulink package has been used to simulate the suggested scheme. The simulation results prove the effectiveness of the proposed induction motor drive. Moreover, a comparison between the convential full order observer and the proposed one with core losses compensation has been carried out. © 2017 IEEE.

关键词： Induction motors

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Effective speech emotion recognition using deep learning approaches for Algerian dialect

Effective speech emotion recognition using deep learning app...

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2021 International Conference of Women in Data Science at Taif University, WiDSTaif 2021

作者： Yahia Cherif, Raoudha Moussaoui, Abdelouahab Frahta, Nabila Berrimi, Mohamed Dep. of Computer Science University of Ferhat Abbes Setif I Setif Algeria Dep. of Technology University of Ferhat Abbes Setif I Setif Algeria

ISBN: (纸本)9781665449489

Speech Emotion Recognition is an active research problem in the field of deep learning. Where the goal is to detect different emotions within audio speech using deep artificial neural networks. In this work, we focus on speech emotion recognition in the Algerian dialect. The paper introduces a new large Algerian speech emotion dataset collected from different Algerian TV shows. The audio signals were manually annotated as happy, angry, neutral, or sad. After the data collection, we applied several classification methods such as machine learning-based models, convolutional neural networks (CNNs), Long Short Term Memory (LSTM) networks, and Bidirectional LSTM (BLSTM). After applying the proposed models on our dataset, the best classification accuracy is 93.34% achieved by the LSTM-CNN model. © 2021 IEEE.

关键词： Long short-term memory

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