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International Conference on Electric Utility Deregulation and Restructuring and Power Technologies

作者： Lingzhi Yi Minghui Fan Jijun Li Genping Wang Key Laboratory of Intelligent Computing & Information Processing Ministry of Education (Xiangtan University) Xiangtan Hunan China Department of Mechanical & Electricity Shenzhen Polytechnic Shenzhen Guangdong China

ISBN: (纸本)9781467371070

In distributed energy hybrid power system of intelligent building, Multi-input DC/DC converter has many advantages, simplifying the dynamic interface to the system for distributed power and playing voltage Boost or Buck more effectively in the system. Based on OpenADR communication protocol and according to electricity prices, the system load can be adjusted by the intelligent controller for the economic optimal goal Besides, an intelligent building DC Micro-grid simulation in which the Wind-PV-diesel battery hybrid power system also realized will be presented so as to increase accesses of distributed energy.

关键词： Open Auto-Dynamic Demand (OpenADR) intelligent Building DC Micro-grid Multi-inputs DC/DC Converter Mul-ti-resources Energy Smart Grid Interoperability

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An algorithm for reading activity recognition based on electrooculogram

An algorithm for reading activity recognition based on elect...

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International Conference on Information, Communications and signal processing

作者： Rui OuYang Zhao Lv XiaoPei Wu Anhui University Hefei Anhui CN Ministry of Education Key Lab of Intelligent Computing & Signal Processing Co-Innovation Center for Information Supply & Assurance Technology Anhui University Hefei China

ISBN: (纸本)9781467372190

The research of the relationship between eye-movement and human activity has become a hot spot in the field of the human-computer interaction. In order to recognize the eye-movement patterns related to reading tasks, an algorithm based on electrooculogram(EOG) has been proposed in this paper. In the proposed approach, wavelet packet decomposition was firstly used to smooth EOG signals during reading tasks, and then, according to the predefined coding strategy, the smoothed EOG waveform is translated into a coding string to represent current reading state. Finally, Levenshtein distance is employed to measure the similarity of the template string and the output string. The experiments under the experimental paradigms of autonomy-reading and stimulus-reading and reading with rest state have been carried out. The mean accurate has reached 90%. The experimental results indicate that the proposed algorithm can effectively recognize human reading activity state.

关键词： Electrooculography Wavelet packets Encoding Algorithm design and analysis Electrodes

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A hybrid differential evolution algorithm solving complex multimodal optimization problems

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Journal of Information and Computational Science 2015年第13期12卷 5175-5182页

作者： You, Xuemei Hao, Fanchang Ma, Yinghong School of Management Science and Engineering Shandong Normal University Jinan China The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China School of Information Shandong University of Political Science and Law Jinan China The Evidence Forensic Laboratory in Universities of Shandong Province Jinan China

Differential Evolution (DE) algorithm is a kind of intelligent algorithm based on natural evolution over the past few decades, which shows better optimization performance on some classical benchmark problems. However, it is easy to fall into local optimum and hard to find the global optimal solution when solving complex multimodal optimization problems. In this paper, we propose a Hybrid-strategybased Differential Evolution (HDE) algorithm. It combines three search strategies, the self-adaptive controlling of parameters, multiple mutation strategy and opposition-based learning. Then we select 11 different types of complex multimodal optimization problems and do experiment with simulated data. The result shows that HDE algorithm gets better performance than other 7 methods. ©, 2015, Journal of Information and Computational Science. All right reserved.

关键词： Optimization

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Whole-proteome based phylogenetic tree construction with inter-amino-acid distances and the conditional geometric distribution profiles

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Molecular phylogenetics and evolution 2015年 89卷 37-45页

作者： Xian-Hua Xie Zu-Guo Yu Guo-Sheng Han Wei-Feng Yang Vo Anh Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan 411105 PR China School of Mathematics and Computer Science Gannan Normal University Jiangxi 341000 PR China. Electronic address: xxianhua@***. School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane QLD 4001 Australia. Electronic address: yuzuguo@***. Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan 411105 PR China. Electronic address: korea10282003@***. Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Hunan 411105 PR China. Electronic address: yangweifeng09@***. School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane QLD 4001 Australia. Electronic address: v.anh@qut.edu.au.

There has been a growing interest in alignment-free methods for whole genome comparison and phylogenomic studies. In this study, we propose an alignment-free method for phylogenetic tree construction using whole-proteome sequences. Based on the inter-amino-acid distances, we first convert the whole-proteome sequences into inter-amino-acid distance vectors, which are called observed inter-amino-acid distance profiles. Then, we propose to use conditional geometric distribution profiles (the distributions of sequences where the amino acids are placed randomly and independently) as the reference distribution profiles. Last the relative deviation between the observed and reference distribution profiles is used to define a simple metric that reflects the phylogenetic relationships between whole-proteome sequences of different organisms. We name our method inter-amino-acid distances and conditional geometric distribution profiles (IAGDP). We evaluate our method on two data sets: the benchmark dataset including 29 genomes used in previous published papers, and another one including 67 mammal genomes. Our results demonstrate that the new method is useful and efficient.

关键词： Alignment-free whole-proteome comparison Conditional geometric distribution profile Inter-amino-acid distances Phylogenetic tree

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Color PNG Image Authentication Scheme Based on Rehashing and Secret Sharing Method

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Journal of Information Hiding and Multimedia signal processing 2015年第3期6卷 523-533页

作者： Lyu, Wan-Li Chang, Chin-Chen Wang, Feng Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui University Hefei230039 China Department of Information Engineering and Computer Science Feng Chia University 100 Wenhwa Rd Seatwen Taichung40724 Taiwan Department of Mathematics and Physics Fujian University of Technology Fuzhou Fujian350108 China

An authentication scheme that uses rehashing and secret sharing methods to verify the reality of a color image’s content is proposed in this paper. First, the proposed scheme uses Shamir’s secret sharing method to share image features. Second, the proposed scheme innovatively utilizes the rehashing method to overcome easy collisions of the random numbers to enhance the effectiveness against attacks. Third, the proposed method utilizes Portable Network Graphics images to hide authentication messages. Using the rehashing method, the collisions take up little in address space, making the process suitable for processing authentication messages. The experimental results indicated that the proposed scheme had very low false acceptance and rejection ratios and verified that the rehashing method can be used in image authentication applications. © 2009 ISSN 2073-4212.

关键词： Authentication

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An improved performance metric for multiobjective evolutionary algorithms with user preferences

An improved performance metric for multiobjective evolutiona...

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Congress on Evolutionary Computation

作者： Guo Yu Jinhua Zheng Xiaodong Li School of Information Engineering Xiangtan University Hunan China School of Information Engineering Key Laboratory of Intelligent Computing Information Processing of Ministry of Education Hunan China School of Computer Science and IT RMIT University Melbourne Australia

ISBN: (纸本)9781479974931

This paper proposes an improved performance metric for multiobjective evolutionary algorithms with user preferences. This metric uses the idea of decomposition to transform the preference information into m+1 points on a constructed preference-based hyperplane, then calculates the Euclidean distances and the angles between the obtained solutions by algorithms and those obtained m+1 points, respectively. By means of these distances and angles, the proposed metric can evaluate effectively both the convergence and diversity of the obtained solution set, with consideration of the preference information. This makes easier and allows meaningful comparisons between different multiobjective evolutionary algorithms using preference information.

关键词： Measurement

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Multi-objective Kinetic-molecular Theory Optimization Algorithm With Application to Automatic Demand Response

Multi-objective Kinetic-molecular Theory Optimization Algori...

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International Conference on Electric Utility Deregulation and Restructuring and Power Technologies

作者： Lingzhi Yi Shengbing Li Chaodong Fan Yahui Wang Key Laboratory of Intelligent Computing & Information Processing Ministry of Education (Xiangtan University) Xiangtan China

ISBN: (纸本)9781467371070

intelligent household as an extension of smart grid in the user side highly integrates loads management and control. Home energy management system (HEMS) with automatic demand response (ADR) is a key part of intelligent household, which is able to fit their electricity demand without changing the residents' habits too much. Furthermore HEMS schedule their power consumption to save energy, reduce emission, shift peak load and reduce the financial burden. The characteristics of various electrical devices were analyzed in this paper, and a mathematical model of ADR was established. Multi-objective kinetic-molecular theory optimization algorithm was used to optimize the solution of the ADR model. Implementation results showed that the KMTOA was more accurate and reliable than other algorithms for the complexities of model and data size considered in this study. Compared with some similar algorithms, the multi-objective kinetic-molecular theory optimization algorithm shows more advantages.

关键词： home energy management system peak load shifting automatic demand response multi-objective kinetic-molecular theory optimization algorithm

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Hybrid color image steganography method used for copyright protection and content authentication

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Journal of Information Hiding and Multimedia signal processing 2015年第4期6卷 686-696页

作者： Lyu, Wan-Li Chang, Chin-Chen Chou, Yeh-Chieh Lin, Chia-Chen Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230039 China Department of Information Engineering and Computer Science Feng Chia University 100 Wenhwa Rd Seatwen Taichung40724 Taiwan Department of Computer Science and Information Management Providence University Taichung43301 Taiwan

In this paper, we proposed a hybrid image data hiding method used for watermarking applications in order to make sure the hidden dual watermarks survive after the image manipulation and enhancement processes. To achieve this goal, the proposed method is divided into two phases. In the first phase, the YCbCr color space is exploited, and, then, LSB techniques are used to embed the first level watermark bits in the YCbCr channel. In the second phase, the modification direction method is used to embed the second level watermark bits in the RGB channel. The experimental results confirmed that the proposed method resists most geometric attacks more effectively than Lusson et al.'s method. Therefore, the method is suitable for protecting the ownership of images and integrity of the potential tampered images. © 2015 ISSN.

关键词： Steganography

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Circular spot detection and segmentation with rotating line local binary analysis

Circular spot detection and segmentation with rotating line ...

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作者： Zhang, Dongbo Liu, Xia College of Information Engineering Xiangtan University China Key Laboratory of Intelligent Computing and Information Processing Ministry of Education China

ISBN: (纸本)9781479957514

The circular spots appear as round local peaks/valleys in image space, and they reflect omnidirectional symmetry and Gaussian distribution characteristics. According to these observations, a novel rotating line scan operator is proposed to achieve feature analysis of the spot object. Experimental tests show that the proposed algorithm is robust to spots' appearance variation (size, local contrast and intensity). The method presents promising performance in various real images. © 2014 IEEE.

关键词： Circular spot detection local binary analysis rotating line

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Robust Spatial Filters on Three-Class Motor Imagery EEG Data Using Independent Component Analysis

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Journal of Biosciences and Medicines 2014年第2期2卷 43-49页

作者： Bangyan Zhou Xiaopei Wu Lei Zhang Zhao Lv Xiaojing Guo The Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

Independent Component Analysis (ICA) was often used to separate movement related independent components (MRICs) from Electroencephalogram (EEG) data.?However, to obtain robust spatial filters, complex characteristic features, which were manually selected in most cases, have been commonly used. This study proposed a new simple algorithm to extract MRICs automatically, which just utilized the spatial distribution pattern of ICs. The main goal of this study was to show the relationship between spatial filters performance and designing samples. The EEG data which contain?mixed brain states (preparing, motor imagery and rest) were used to design spatial filters. Meanwhile, the single class data was also used to calculate spatial filters to assess whether the MRICs extracted on different class motor imagery spatial filters are similar. Furthermore, the spatial filters constructed on one subject’s EEG data were applied to extract the others’ MRICs. Finally, the different spatial filters were then applied to single-trial EEG to extract MRICs, and Support Vector Machine (SVM) classifiers were used to discriminate left hand、right-hand and foot imagery movements of BCI Competition IV Dataset 2a, which recorded four motor imagery data of nine subjects. The results suggested that any segment of finite motor imagery EEG samples could be used to design ICA spatial filters, and the extracted MRICs are consistent if the position of electrodes are the same, which confirmed the robustness and practicality of ICA used in the motor imagery Brain Computer Interfaces (MI-BCI) systems.

关键词： ICA Spatial Filter Motor Imagery BCI SVM

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