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Grey Wolf algorithm based on S-function and particle swarm optimization

Journal of Physics: Conference Series 2020年第1期1453卷

作者： ChenYang Liu Yongli Wang School of Computer Science and Engineering Nanjing University of Scienc and Technology Nanjing 210094 China

Based on the analysis of the shortcomings of the grey wolf optimization algorithm, an improved grey wolf optimization algorithm (SGWO) is proposed. The algorithm uses the convergence factor based on S-function change to balance the global search and local search ability of the algorithm. At the same time, the proportion weight based on Euclidean distance of step size and the individual optimal position of the particle swarm optimization algorithm are introduced to update the grey wolf position, thus speeding up the convergence speed of the algorithm to 8. The simulation results of three classical test functions show that the SGWO algorithm has higher accuracy and better ***

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Assistive technology for Preliminary Diagnosis of Learning Disability (LD) among Children

Assistive Technology for Preliminary Diagnosis of Learning D...

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International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)

作者： Kriti Dhingra Anchal Garg Divakar Yadav Amity Insitute of Information Technology Amity University Uttar Pradesh Noida UP India Amity School of Engineering & Technology Amity University Uttar Pradesh Noida UP India Department of Computer Scienc Madan Mohan Malviya University of Technology UP India

ISBN: (纸本)9781728102122

Learning Disability (LD) causes difficulties in areas of behavior and learning and thus managing it is vital for people suffering from such disabilities. In India, 5-10% of children suffer from one of the learning disabilities. It can be assumed that the number might be high as it could remain undiagnosed in many of them. Also, it not known that how learning disabilities are diagnosed and managed among children. There lie no evidences in Indian Context about how learning disability is managed among children. Hence, a survey was conducted in schools of Delhi to determine what strategies the schools use to diagnose and deal with learning disabilities. The results depicted that the primitive pen-paper methodology was being used for preliminary diagnosis. Therefore, latest technologies such as Assistive technology can be of a great help in eliminating this primitive approach and thus contribute in a cost-effective way of diagnosis. A conceptual framework using assistive technology is proposed for the diagnosis which would optimize the entire process of diagnosis. Such a model would not only help in the diagnosis of LD but also in promoting the broader functional outcomes of assistive technology.

关键词： Assistive technology Education Tools Writing Pediatrics Government Machine learning

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The computational analogy workshop at ICCBR-16

The computational analogy workshop at ICCBR-16

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作者： Blass, Joseph Fitzgerald, Tesca Cognitive Systems Division Department of Electrical Engineering and Computer Scienc Pritzker School of Law Northwestern University United States School of Interactive Computing Georgia Institute of Technology United States

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Analysis and design of associative memories based on stability of cellular neural networks

Analysis and design of associative memories based on stabili...

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西南大学2014年全国博士生学术论坛(电子技术与信息科学领域)

作者： Qi Han Xiaofeng Liao Tingwen Huang Jun Peng Chuandong Li Hongyu Huang School of Electrical and Information Engineering Chongqing University of Science and Technology Cho State Key Laboratory of Power Transmission-Equipment and System Security College of Computer Scienc Texas A&M University at Qatar Doha.P.O.Box 23874 Qatar

It is well known that the prototype patterns in associative memories can be represented by stable equilibrium points of cellular neural networks (CNNs).Therefore, the stability of equilibrium points of CNNs is critical in associative memories based on *** this paper, some criteria about the stability of CNNs are *** fact, these criteria give some constraint conditions for the relationship of parameters of *** with the previous works, our results relax the conservatism of the relationship of parameters and extend the range of the values of *** design procedures on the parameters of CNNs are given to achieve associative memories under our ***, an example is given to verify the theoretical results and design procedures.

关键词： Cellular neural networks Associative memories Cloning template

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Integrated anycast routing protocol for wireless networks: Implementation and applications

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International Review on computers and Software 2012年第5期7卷 2190-2194页

作者： Yan, Guofeng Chen, Shuhong Peng, Yuxing Xiao, Peng School of Computer and Communication Hunan Institute of Engineering Hunan 411104 China School of Computer National University of Defense Technology Changsha 410073 China School of Information Scienc and Engineering Central South University Changsha 410083 China

In the paper, we discuss the design and implementation of integrated anycast routing protocol (IARP) under Linux. The process of IARP, the format of IARP message, the dynamic updating of MAP table information and anycast data flow information are presented under Linux kernel by modifying IP protocol stack. And then, anycast group management system is introduced. Furthermore, the implementation of IARP is used in a real soft router. Finally, we show the performance of IARP where IARP communication is used to distribute load among a set of servers through a study case. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.

关键词： Linux

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Web Question Answering based on CCG parsing and DL ontology

Web Question Answering based on CCG parsing and DL ontology

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International Conference on Information science and Digital Content technology

作者： Peng Li Lejian Liao Beijing Engineering Research Centre of High Volume Language Information Processing & Cloud Computing Applications Multi-living-agent Information System Key Laboratory and Beijing Laboratory of Intelligent Information Technology School of Computer Scienc

ISBN: (纸本)9781467312882

This paper presents a novel WQA (Web Question Answering) approach based on the combination CCG (Combinatory Categorial Grammar) and DL (Description Logic) ontology, in order to promote semantic-level accuracy through deep text understanding capabilities. We propose to take DL based semantic modeling, i.e., translating lambda-expression encoding of question meaning into DL based semantic representations. The advantage of such approach is a seamless exploitation of existing semantic resource coded as DL ontology, which is widespread in such area as the Semantic Web and conceptual modeling. The experiments are conducted with a repository of complex Chinese questions which involves the satisfaction of some object property restrictions. The experimental results show that producing the semantic representations with the combination of CCG parsing and DL reasoning is an effective approach for question understanding at semantic level, in terms of both understanding accuracy promotion and semantic resource exploitation.

关键词： Semantics Ontologies Syntactics Grammar Cognition Accuracy Semantic Web

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A modified nonlocal-means for adaptive image denoising

A modified nonlocal-means for adaptive image denoising

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2011 International Conference on Electronic and Mechanical engineering and Information technology, EMEIT 2011

作者： Yin, Ming Shao, Shi-Quan Ma, Li School of Electrical and Information Engineering Southwest University for Nationalities of China Chengdu Sichuan 610041 China School of Computer Technology and Scienc Southwest University for Nationalities of China Chengdu Sichuan 610041 China

ISBN: (纸本)9781612840857

Image denoising is an important problem and widely studied in image processing. Denoising is a crucial step to increase image conspicuity and to improve the performances of all the processing needed for quantitative imaging analysis. This work presents a modified nonlocal-mean denoising method based on the texture collection and edge information. At last, experiments result illustrate that the technique can be successfully used to the classical case of additive Gaussian noise. The proposed algorithm seems to improve on the state of the art performance. © 2011 IEEE.

关键词： Image denoising

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Dual Mode Predictive Control for Ultrafast Piezoelectric Nanopositioning Stages

Dual Mode Predictive Control for Ultrafast Piezoelectric Nan...

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2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Xiang Chen Hai-Tao Zhang Zhiyong Chen State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Scienc School of Electrical Engineering and Computer Science University of NewcastleCallaghanNSW 2308Aus

Precision control of piezoelectric motor nanopositioning stages is widely used in a variety of nano-manufacturing equipments. But due to the hysteresis nonlinearity with input saturation, it is challenging to design an ultrafast output feedback controller with large region of closed-loop stability. To address this problem, we developed a dual-mode nonlinear model predictive control (NMPC) method, in which an optimal input profile found by solving an open-loop optimal control problem drives the nonlinear system state into the terminal invariant set;afterwards a linear output-feedback controller steers the state to the origin asymptotically. In contrast to the classical output-feedback controller, the settling time is effectively decreased and the closed-loop stable region is substantially increased by the present NMPC with almost no loss of the nanopositioning accuracy. Finally, the feasibility and superiority of the proposed switching control method are examined by extensive experiments on a Physik Instrumente P-563.3CL triple-axis nanopositioning stage.

关键词： Hysteresis Nanopositioning Stability analysis Asymptotic stability Output feedback Manufacturing

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Intron Identification Approaches Based on Weighted Features and Fuzzy Decision Trees

Intron Identification Approaches Based on Weighted Features ...

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The 4th International Conference on Bioinformatics and Biomedical engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

作者： Ching Ping Liang Yin-Fu Huang Sing-Wu Liou Graduate School of Computer Science and Information Engineering National Yunlin University of Scienc Graduate School of Engineering Science and Technology National Yunlin University of Science and Tech

Current computational predictions of splice sites largely depend on the sequence patterns of known intronic sequence features (ISFs) described in the classical intron definition model (IDM). The computation-oriented IDM (COIDM) clearly provides more specific and concrete information for describing intron flanks of splice sites (IFSSs). In the paper, we proposed a novel approach of fuzzy decision trees (FDTs) which utilize 1) weighted ISFs of twelve uni-frame patterns (UFPs) and forty-five multi-frame patterns (MFPs) and 2) gain ratios to improve the performances in identifying an intron. First, we fuzzified extracted features from genomic sequences using membership functions with an unsupervised self-organizing map (SOM) technique. Then, we brought in different viewpoints of globally weighting and crossly referring in generating fuzzy rules which are interpretable and useful for biologists to verify whether a sequence is an intron or not. Finally, the experimental results revealed the effectiveness of the proposed method in improving the identification accuracy. Besides, we also implemented an on-line intronic identifier to infer an unknown genomic sequence.

关键词： Decision trees Biology computing Bioinformatics Predictive models Concrete Genomics Computational modeling Diversity reception Pulse width modulation computer science

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A new approach based on PSO algorithm to find good computational encoding sequences

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Progress in Natural science:Materials International 2007年第6期17卷 712-716页

作者： Cui Guangzhao1, Niu Yunyun1, Wang Yanfeng1, Zhang Xuncai2 and Pan Linqiang2(1. school of Electrical and Electronic engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China 2. Research Institute of Biomolecular computer, Huazhong University of science and technology, Wuhan 430074, China) [a]School of Electrical and Electronic Engineering Zhengzhou University of Light Industry Zhengzhou China [b]Research Institute of Biomolecular Computer Huazhong University of Scienc and Technology Wuhan China

Computational encoding DNA sequence design is one of the most important steps in molecular computation. A lot of research work has been done to design reliable sequence library. A revised method based on the support system developed by Tanaka et al. is proposed here with different criteria to construct fitness function. Then we adapt particle swarm optimization (PSO) algorithm to our encoding problem. By using the new algorithm, a set of sequences with good quality is generated. The result also shows that our PSO-based approach could rapidly converge at the minimum level for an output of the simulation model. The celerity of the algorithm fits our requirements.

关键词： DNA computing computational encoding DNA sequences PSO algorithm fitness function

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