2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications最新文献

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Multiple Input-Single Output (MISO) Feedforward Artificial Neural Network (FANN) Models for Pilot Plant Binary Distillation Column 中试装置二元精馏塔多输入单输出(MISO)前馈人工神经网络(FANN)模型
Z. Abdullah, Z. Ahmad, N. Aziz
{"title":"Multiple Input-Single Output (MISO) Feedforward Artificial Neural Network (FANN) Models for Pilot Plant Binary Distillation Column","authors":"Z. Abdullah, Z. Ahmad, N. Aziz","doi":"10.1109/BIC-TA.2011.21","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.21","url":null,"abstract":"Distillations column control becomes the main subject of control research due to the intensive energy usage in the industry and the nonlinearity behavior in control variables. The growing importance of \"green technology\" and sustainability has triggered researchers to focus on this matter. Therefore, a method of modeling and controlling of the column is certainly indispensible in this matter. Neural networks are a powerful tool especially in modeling nonlinear and intricate process. Hence, in this paper Feed forward Artificial Neural network (FANN) have been chosen to model the multiple input-single output (MISO) for the distillation column predicting top and bottom composition. The performance and the accuracy of the models have been presented in term of correlation coefficient (R value) and the smallest sum squared error (SSE). It has been found that FANN can model MISO in representing the process. The results obtained also show that the MISO model is suitable to be used to represent the distillation process accurately.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115596456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Modified Clonal Selection Algorithm Based Classifiers 基于分类器的改进克隆选择算法
Y. P. Singh, Amir Samir Hassan Babiker
{"title":"Modified Clonal Selection Algorithm Based Classifiers","authors":"Y. P. Singh, Amir Samir Hassan Babiker","doi":"10.1109/BIC-TA.2011.13","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.13","url":null,"abstract":"The biological immune system is an adaptive, complex and robust system that helps the body defend from foreign pathogens. Clonal Selection algorithm (CLONALG) is one of the many algorithms that have been inspired by the adaptive biological immunity of human being and animals. CLONALG has been applied in data mining, pattern recognition and optimization problems. The present paper presents a modified CLONALG based classifier algorithms. CLONALG has many steps and one of these steps is initializing the antibodies pool. The present paper has proposed a new approach to initialize the antibodies pool for classifier design and provides some tests and experiments to show the effectiveness of CLONALG classifier performance with randomized and antigen initializations.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128826176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
P Systems Generating Self Similar Tilings 生成自相似平铺的P系统
S. Jebasingh, T. Robinson, A. Nagar
{"title":"P Systems Generating Self Similar Tilings","authors":"S. Jebasingh, T. Robinson, A. Nagar","doi":"10.1109/BIC-TA.2011.40","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.40","url":null,"abstract":"Parametric Tile Pasting P System and their variants are syntactic methods to generate periodic and non-periodic patterns, using simple rules of gluing tiles (pasting rule) at their edges. In this paper, we study the generation of bounded self similar tiling, which are finite in area, using tissue-like Parametric Tile Pasting P System.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132129342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Practical Framework for Cleaning Robots 清洁机器人的实用框架
Wen-Mau Chong, Chien-Le Goh, Yoon-Teck Bau
{"title":"A Practical Framework for Cleaning Robots","authors":"Wen-Mau Chong, Chien-Le Goh, Yoon-Teck Bau","doi":"10.1109/BIC-TA.2011.11","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.11","url":null,"abstract":"This paper presents an extension to the pattern-based genetic algorithm for multiple cleaning robots to achieve complete coverage path planning in an unknown environment. The extension is formulated in the form of a framework which consists of four phases. The phases are scouting, task distribution, cleaning, and confirmation. The scouting phase allows the robots to scout in the initially unknown floor plan. The task distribution phase distributes cleaning tasks to multiple robots. The cleaning phase uses the pattern-based genetic algorithm with an added function to cater to unforeseen obstacles. The confirmation phaserecleans all the tiles. The performance of our proposed approach have been evaluated with six different floor plans through computer experiments. The cleaning phase performs better than the generic pattern-based genetic algorithm approach.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131983875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
ANN-based Control Method Implemented in a Voltage Source Converter for Industrial Micro-grid 基于神经网络的工业微电网电压源变换器控制方法
Jinbang Xu, Zhizhuo Wu, Xuan Yang, Jie Ye, A. Shen
{"title":"ANN-based Control Method Implemented in a Voltage Source Converter for Industrial Micro-grid","authors":"Jinbang Xu, Zhizhuo Wu, Xuan Yang, Jie Ye, A. Shen","doi":"10.1109/BIC-TA.2011.18","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.18","url":null,"abstract":"With more and more attention on the grid current harmonic in recent years, many control schemes of the Pulse Width Modulation Voltage Source Converter (PWM-VSC) have been investigated. Conventional PI controller has shown limitations such as sensitivity to load and system parameter variation. Even the stability of the system can be threatened under a large and sudden load change. In this paper, the practical situation of a VSC for industrial Micro Grid (MG) is considered and an Artificial neural network (ANN) based control method is employed to solve the problem. Meanwhile, an on-line parameter tuning algorithm is introduced for its advantage of self-tuning and system character identification. The proposed control scheme is verified through simulation based on SABER software. The simulation results have shown the advantage of the proposed method and the performance of the parameter tuning session.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130352853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Hybrid Workflow Net Based Architecture for Modeling Huntington's Disease 基于混合工作流网络的亨廷顿病建模体系结构
D. Neela, K. Rangarajan
{"title":"Hybrid Workflow Net Based Architecture for Modeling Huntington's Disease","authors":"D. Neela, K. Rangarajan","doi":"10.1109/BIC-TA.2011.46","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.46","url":null,"abstract":"In order to understand and predict the behaviour of any system modeling is essential. Hence the research on modeling and simulation of complex biological systems has drawn the attention of the researchers of this field today. In this respect we have tried the characterization of Huntington's pathways through Hybrid workflow net. To enhance the effectiveness of the bio pathway model we have associated the verification process for the model with the help of automata. We have tried the performance analysis of the Huntington's disease model by modeling the functioning of the model based on automata.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130173008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Parallel Communication Synchronized Pure Pattern Grammar Systems with Filters 带过滤器的并行通信同步纯模式语法系统
Sindhu J. Kumaar, P. Abisha
{"title":"Parallel Communication Synchronized Pure Pattern Grammar Systems with Filters","authors":"Sindhu J. Kumaar, P. Abisha","doi":"10.1109/BIC-TA.2011.30","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.30","url":null,"abstract":"Motivated by the study of pure pattern grammars by Abisha et al (2000), and parallel communicating grammar systems with communication by commands of Csuhaj -- Varju et al (2006), a new generative device, herein after referred as parallel communicating synchronizing pure pattern grammar systems with filters is introduced. In this grammar system, all components except the master are pure pattern grammars, but the master is a regular grammar with filter. This new generative device is compared with the earlier models [Abisha et al (2000), Csuhaj -- Varju et al (2006)] and found to have different properties. As expected, the result of the above combination is a very powerful mechanism.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123835408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Echo State Networks Based Method for Harmonic Extraction in Shunt Active Power Filters 基于回波状态网络的并联有源电力滤波器谐波提取方法
Jinbang Xu, Jun Yang, Feng Liu, Zhixiong Zhang, A. Shen
{"title":"Echo State Networks Based Method for Harmonic Extraction in Shunt Active Power Filters","authors":"Jinbang Xu, Jun Yang, Feng Liu, Zhixiong Zhang, A. Shen","doi":"10.1109/BIC-TA.2011.17","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.17","url":null,"abstract":"With the wide use of power conversion devices, harmonic currents are being injected into the power grid. Shunt Active Power Filters (SAPF) is a power electronic device to compensate the harmonic currents caused by nonlinear loads. As the foundation of the harmonics recognition and compensation, harmonic extraction techniques are becoming more and more important. This paper proposes a new harmonic extraction method based on the Echo State Networks (ESN). ESN is a new type of Recurrent Neural Networks (RNN), which has much faster training speed than other types of RNN. To evaluate the dynamic system modeling capability of the ESN, the ESN with different dynamic reservoir size are discussed. The performance of the ESN based harmonic extraction method is compared with traditional methods and method based on multilayer perceptron networks (MLP). The ESN algorithm is trained and tested in MATLAB.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115380142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Segmentation of Peripheral Blood Smear Images Using Tissue-Like P Systems 基于类组织P系统的外周血涂片图像分割
Feminna Sheeba, Robinson Thamburaj, A. Nagar, J. Mammen
{"title":"Segmentation of Peripheral Blood Smear Images Using Tissue-Like P Systems","authors":"Feminna Sheeba, Robinson Thamburaj, A. Nagar, J. Mammen","doi":"10.1109/BIC-TA.2011.72","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.72","url":null,"abstract":"Segmentation of medical images is a highly challenging process, especially when dealing with blood smear images, which have a very complex cell structure. The tissue-like P Systems, actually based on the methodology of cell and tissue behavior in a human body, are used in various areas of computation. Segmentation of medical images is one such area where these systems can be used, whereby the various objects in the images can be identified. The proposed work aims at segmenting the nuclei of the White Blood Cells (WBCs) of the peripheral blood smear images, which can help to identify various pathological conditions. In the first approach, segmentation is color based. The second approach is intensity based. In the third approach, morphology is used to strengthen the findings from the results.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131182741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 27
Mass Spectrometry Analysis via Metaheuristic Optimization Algorithms 基于元启发式优化算法的质谱分析
Syarifah Adilah Mohamed Yusoff, Ibrahim Venkat, R. Abdullah, U. K. Yusof
{"title":"Mass Spectrometry Analysis via Metaheuristic Optimization Algorithms","authors":"Syarifah Adilah Mohamed Yusoff, Ibrahim Venkat, R. Abdullah, U. K. Yusof","doi":"10.1109/BIC-TA.2011.7","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.7","url":null,"abstract":"Biologically inspired metaheuristic techniques for extracting salient features from mass spectrometry data has been recently gaining momentum among related fields of research viz., bioinformatics and proteomics. Such sophisticated approaches provide efficient ways to mine voluminous mass spectrometry data in order to extract potential features by getting rid of redundant information. This feature extraction process ultimately aids in discovering disease-related protein patterns in complex mixtures that is easily obtained from biological fluids such as serum and urine. This article provides an overview of such typical bio-inspired approaches.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132090903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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