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2009 Fifth International Conference on Natural Computation最新文献

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A Hybrid Algorithm Based on Extremal Optimization with Adaptive Levy Mutation and Differential Evolution and Application 基于自适应Levy突变和差分进化的极值优化混合算法及其应用
2009 Fifth International Conference on Natural Computation Pub Date : 2009-08-14 DOI: 10.1109/ICNC.2009.205
Fu Xiaogang, Yu Jingshou
{"title":"A Hybrid Algorithm Based on Extremal Optimization with Adaptive Levy Mutation and Differential Evolution and Application","authors":"Fu Xiaogang, Yu Jingshou","doi":"10.1109/ICNC.2009.205","DOIUrl":"https://doi.org/10.1109/ICNC.2009.205","url":null,"abstract":"A hybrid algorithm based on Extremal Optimization (EO) with adaptive levy mutation and Differential Evolution (HEODE) was proposed in this paper. It applied the idea of combination mechanism of global and local search. In the process of the global search, DE is an evolutionary algorithm based on the difference in group that can quickly approach a approximate optimal solution. During the local search, as a powerful local search capabilities algorithm EO with adaptive lévy mutation helps DE out of local maximum points. Simulation study and its application have proved its capability of strong global search and high immunity against premature convergence. Then HEODE is applied to train artificial neural network to construct a practical soft-sensor of jet fuel endpoint of main fractionator of hydrocracking unit. The obtained results indicate that the new method proposed by this paper is feasible and effective in soft-sensing of jet fuel endpoint.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114821462","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 Novel Algorithm for Baseline Correction of Chemical Signals 一种新的化学信号基线校正算法
2009 Fifth International Conference on Natural Computation Pub Date : 2009-08-14 DOI: 10.1109/ICNC.2009.93
Xinwei Feng, Zhongliang Zhu, Peisheng Cong
{"title":"A Novel Algorithm for Baseline Correction of Chemical Signals","authors":"Xinwei Feng, Zhongliang Zhu, Peisheng Cong","doi":"10.1109/ICNC.2009.93","DOIUrl":"https://doi.org/10.1109/ICNC.2009.93","url":null,"abstract":"As important as noise problem, baseline drift is another part for de-noising the signals acquired by contemporary measurement, especially in the field of chemical signals processing. A novel algorithm named Iterative Suppression Polynomial Fitting algorithm (ISPF) based on modified polynomial fitting method was proposed in this work, which could eliminate the baseline automatically compared to former mathematical methods. The principle of ISPF is intelligible. Raman spectra signal was selected as the investigated subject of experimental section. The drift baseline which is caused by fluorescence blocked up further analysis. After processing with ISPF algorithm, baseline drifts were subtracted from the original Raman spectra signals, rice grains from different places were clearly classified by Principal Component Analysis (PCA). The results proved the efficiency of ISPF algorithm, which could be extended to other field for signal de-noising.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114852502","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
Transformer Fault Diagnosis Based on Improved SVM Model 基于改进SVM模型的变压器故障诊断
2009 Fifth International Conference on Natural Computation Pub Date : 2009-08-14 DOI: 10.1109/ICNC.2009.453
Xiaodong Yu, Li Zhang
{"title":"Transformer Fault Diagnosis Based on Improved SVM Model","authors":"Xiaodong Yu, Li Zhang","doi":"10.1109/ICNC.2009.453","DOIUrl":"https://doi.org/10.1109/ICNC.2009.453","url":null,"abstract":"This paper proposes an improved SVM method in order to improve the speed of classification when SVM treats with the large training set. Firstly, using RS theory to eliminate redundant information of the large original training data set, secondly, utilizing the idea of probabilities, train an initial classifier with a small training set, and prune the large training set with the initial classifier to obtain a small reduction set. Training with the reduction set, final classifier is obtained. Experiments show that this method effectively reduces the training set, and improves the classify ability.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115094920","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
Research on Retrieving Aeolian Desertification Land Surface Temperature of North Shaanxi Province with MODIS Data 利用MODIS数据反演陕北风沙地表温度的研究
2009 Fifth International Conference on Natural Computation Pub Date : 2009-08-14 DOI: 10.1109/ICNC.2009.88
Huo Aidi, W. Guoliang, Z. Jun
{"title":"Research on Retrieving Aeolian Desertification Land Surface Temperature of North Shaanxi Province with MODIS Data","authors":"Huo Aidi, W. Guoliang, Z. Jun","doi":"10.1109/ICNC.2009.88","DOIUrl":"https://doi.org/10.1109/ICNC.2009.88","url":null,"abstract":"In this paper, two important parameters (surface emissive and atmospheric transmittance) are computed from the VIS, NIR and MIR of MODIS image data. The values of LST are calculated by means of a split-window method based on Thermal Infrared Band (band31 and band32) of MODIS image data in North Shaanxi province, Furthermore, the result from two different empirical formulas parameters is compared with the surface temperature from the corresponding position weather station observation at the time when the satellite transits. The results indicated that the Simplified method can be used to acquire the reasonable values of land surface temperature and it is fit for North Shaanxi province. Thus this paper shows a good manner for monitoring large-scale and real-time land surface temperature in Aeolian Desertification area using thermal bands of MODIS image data.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116960478","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
Tibetan Language Continuous Speech Recognition Based on Dynamic Bayesian Network 基于动态贝叶斯网络的藏语连续语音识别
2009 Fifth International Conference on Natural Computation Pub Date : 2009-08-14 DOI: 10.1109/ICNC.2009.312
Yue Zhao, Yongcun Cao, X. Pan
{"title":"Tibetan Language Continuous Speech Recognition Based on Dynamic Bayesian Network","authors":"Yue Zhao, Yongcun Cao, X. Pan","doi":"10.1109/ICNC.2009.312","DOIUrl":"https://doi.org/10.1109/ICNC.2009.312","url":null,"abstract":"Dynamic Bayesian Networks (DBN) area subset of the probabilistic graphical models (PGM) which include hidden Markov model (HMM) as a special case. One of the principle weaknesses of HMMs is the independence assumptions on the observed and hidden processes of speech. This paper proposed to use the DBN for Tibetan language continuous speech recognition.The proposed approach is based on structure learning paradigm in DBN framework. This approach has the advantage to guaranty that the resulting model represents speech with higher fidelity than HMM. The results of recognition experiments show that the proposed algorithm has better performance of recognition rate and noise suppression compared with HMM.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117263721","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
Validation of the Gamma Test for Model Input Data Selection - with a Case Study in Evaporation Estimation 模型输入数据选择的伽玛检验的验证——以蒸发估计为例
2009 Fifth International Conference on Natural Computation Pub Date : 2009-08-14 DOI: 10.1109/ICNC.2009.796
Dawei Han, Weizhong Yan
{"title":"Validation of the Gamma Test for Model Input Data Selection - with a Case Study in Evaporation Estimation","authors":"Dawei Han, Weizhong Yan","doi":"10.1109/ICNC.2009.796","DOIUrl":"https://doi.org/10.1109/ICNC.2009.796","url":null,"abstract":"In nonlinear model identification, mathematical modellers need to find the best input variables by training and testing all the likely model input combinations. This is very time consuming since a complete model development cycle is needed for each input variable combination. In this study, the Gamma Test (GT) is explored for its suitability in reducing model development workload and providing input data guidance before actual models are developed. The nonlinear dynamic model tested is the generalized regression neural network (GRNN). It has been found that the overall performance of the Gamma Test is quite encouraging and the GT demonstrates its huge potential for efficient GRNN model development. The Gamma values are able to provide a good indication about the achievable accuracy for the GRNN models and this has a distinctive advantage over the traditional model selection approaches.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116021972","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
An Approach to Seabed Terrain Matching Utilizing Hybrid Particle Swarm Optimization 基于混合粒子群优化的海底地形匹配方法
2009 Fifth International Conference on Natural Computation Pub Date : 2009-08-14 DOI: 10.1109/ICNC.2009.675
Yuan Gan-nan, Tan Jialin
{"title":"An Approach to Seabed Terrain Matching Utilizing Hybrid Particle Swarm Optimization","authors":"Yuan Gan-nan, Tan Jialin","doi":"10.1109/ICNC.2009.675","DOIUrl":"https://doi.org/10.1109/ICNC.2009.675","url":null,"abstract":"When most of terrain matching algorithms are directly applied to seabed terrain-aided navigation system (STAN), the positioning accuracy declines sharply and the algorithm become unstable because of the particularity of seabed terrain. A new approach of seabed terrain matching algorithm is proposed in this paper. Unlike traditional terrain matching approaches, the strategy based on particle swarm optimization (PSO) is used in the proposed algorithm instead of traversal search, and the mean Hausdorff distance is used as similarity measure for its super anti-interference and fault-tolerance performance. Furthermore, a hybrid PSO algorithm combined with chaotic search is proposed in application to improve the local exploitation quality. The experimental results based on electronic chart evaluate the algorithm’s great superiority, the number of computation and positioning error are reduced greatly.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123497107","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
A Particle Swarm Optimization Algorithm with Rich Social Cognition 具有丰富社会认知的粒子群优化算法
2009 Fifth International Conference on Natural Computation Pub Date : 2009-08-14 DOI: 10.1109/ICNC.2009.69
Chuanhua Zeng
{"title":"A Particle Swarm Optimization Algorithm with Rich Social Cognition","authors":"Chuanhua Zeng","doi":"10.1109/ICNC.2009.69","DOIUrl":"https://doi.org/10.1109/ICNC.2009.69","url":null,"abstract":"A particle swarm optimization with rich social cognition is developed for solving the premature convergence of particle swarm optimization. In this algorithm, the optimum from the particles’ experiments is determined by learning probability and selective probability. The learning probability is adjusted to balance between the personal cognition and the social cognition. Experimental results for complex function optimization show this algorithm improves the global convergence ability and efficiently prevents the algorithm from the local optimization and early maturation.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"42 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125751769","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
Taiwan's Telecommunications Market Share with a Dynamic Evolutionary Simulation Model Paper 台湾电信市场占有率之动态演化模拟模型研究
2009 Fifth International Conference on Natural Computation Pub Date : 2009-08-14 DOI: 10.1109/ICNC.2009.709
Wei-Chang Lee, Jong-Chen Chen, Shu-Yao Ho
{"title":"Taiwan's Telecommunications Market Share with a Dynamic Evolutionary Simulation Model Paper","authors":"Wei-Chang Lee, Jong-Chen Chen, Shu-Yao Ho","doi":"10.1109/ICNC.2009.709","DOIUrl":"https://doi.org/10.1109/ICNC.2009.709","url":null,"abstract":"To investigate the issue of market share, people first perform market discrimination and then propose a model to explain, analyze, evaluate, and predict it. Traditional approach is through observation, questionnaire, and data analysis with statistic mechanisms. This is a static approach, which has its constraints and drawbacks in investigating problems in a dynamic environment. This study is to investigate dynamic market share problem with cellular automat. The whole consumer environment is represented with a 2-dimensional grid. Our purpose is to look into the interactions between consumers and markets. Each grid represents a consumer, whose behavior is determined by itself, other consumers, and market. Four constructs are considered, including feedback, interaction, static, and term (to be referred as FIST). Through real time computation and rich graphic display, we show different results with dynamic graphic displays. And we hope to provide an assistant tool to those who like to perform different data analysis with different choices of parameters.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125957745","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
Improved Method for Network Danger Evaluation Based on Immunology Principle 基于免疫学原理的网络危险性评价改进方法
2009 Fifth International Conference on Natural Computation Pub Date : 2009-08-14 DOI: 10.1109/ICNC.2009.169
Jin Yang, Peng Jin, Y. Hong, Gang Luo
{"title":"Improved Method for Network Danger Evaluation Based on Immunology Principle","authors":"Jin Yang, Peng Jin, Y. Hong, Gang Luo","doi":"10.1109/ICNC.2009.169","DOIUrl":"https://doi.org/10.1109/ICNC.2009.169","url":null,"abstract":"This paper proposes an improved immunological surveillance for network danger evaluation model, focusing on intrusion detection and countermeasures with respect to widely-used networks. An improved intrusion detection mechanism based on self-tolerance, clone selection, and immune surveillance is established. A new network security evaluation method using antibody concentration to quantitatively analyze the degree of intrusion danger level is presented. Additionally, this new hierarchical management framework of the proposed model adopt to improve the detection efficiency and to overcome the shortcoming of the local optimum. The experimental results show that the proposed model is a good solution for network security evaluation.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126158153","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
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