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2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)最新文献

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Neural encoding based on frequency states using multi-spike train data 基于多尖峰序列数据的频率状态神经编码
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI: 10.1109/BICTA.2010.5645340
Fanxing Hu, Hui Wei
{"title":"Neural encoding based on frequency states using multi-spike train data","authors":"Fanxing Hu, Hui Wei","doi":"10.1109/BICTA.2010.5645340","DOIUrl":"https://doi.org/10.1109/BICTA.2010.5645340","url":null,"abstract":"Understanding the way how the neural networks encode outer stimulus and inner decision-making process is a key problem in neuroscience as well as in artificial intelligence. Although researchers have proposed several assumptions and related models, the supporting biological evidences are rarely provided. Our task involves finding an encoding method based on neuron firing frequency states and its transformation model under certain stimulus. Besides, a new method to analyze spikes train data is also proposed which is proved effective here. Then, the results by analyzing multi-microelectrodes simultaneous recorded spike train from temporal cortex and hippocampus of mouse experiment is shown, supporting and validating this model.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125386320","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
Multi-parameter estimation of non-salient pole permanent magnet synchronous machines by using evolutionary algorithms 基于进化算法的非凸极永磁同步电机多参数估计
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI: 10.1109/BICTA.2010.5645222
Kan Liu, Z. Zhu, Jing Zhang, Qiao Zhang, A. Shen
{"title":"Multi-parameter estimation of non-salient pole permanent magnet synchronous machines by using evolutionary algorithms","authors":"Kan Liu, Z. Zhu, Jing Zhang, Qiao Zhang, A. Shen","doi":"10.1109/BICTA.2010.5645222","DOIUrl":"https://doi.org/10.1109/BICTA.2010.5645222","url":null,"abstract":"This paper describes how to apply evolutionary algorithms (EA) for multi-parameter estimation of non-salient pole permanent magnet synchronous machines (PMSM). The encoding of estimated parameters is firstly described and the design of a penalty function associated with a proposed error analysis for PMSM multi-parameter estimation is then introduced. The PMSM stator winding resistance, dq-axis inductances and rotor flux linkage can be estimated by maximizing the proposed penalty function through evolutionary algorithms such as immune clonal algorithm (ICA), quantum genetic algorithm (QGA) and genetic algorithm (GA). The experimental results show that the proposed strategy has good convergence in simultaneously estimating winding resistance, dq-axis inductances and rotor flux linkage. In addition, the convergence speed of ICA in estimation is compared with GA and QGA, which verifies that the ICA has better performances in global searching. The ability of proposed method for tracking the parameter variation is verified by winding resistance step change and temperature variation experiments at last.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126236032","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: 17
Chaotic particle swarm optimization algorithm for support vector machine 支持向量机混沌粒子群优化算法
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI: 10.1109/BICTA.2010.5645254
Shuzhou Wang, Bo Meng
{"title":"Chaotic particle swarm optimization algorithm for support vector machine","authors":"Shuzhou Wang, Bo Meng","doi":"10.1109/BICTA.2010.5645254","DOIUrl":"https://doi.org/10.1109/BICTA.2010.5645254","url":null,"abstract":"Statistical Learning Theory focuses on the machine learning theory for small samples. Support vector machine (SVM) are new methods based on statistical learning theory. There are many kinds of function can be used for kernel of SVM. Wavelet function is a set of bases that can approximate arbitrary functions in arbitrary precision. So Marr wavelet was used to construct wavelet kernel. On the other hand, the parameter selection should to be done before training WSVM. Modified chaotic particle swarm optimization (CPOS) was adopted to select parameters of SVM. It is shown by simulation that the CPOS algorithm can derive a set of optimal parameters of WSVM, and WSVM model possess some advantages such as simple structure, fast convergence speed with high generalization ability.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126445760","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
Neural network modeling on evolution of hydration reaction for Portland cement 硅酸盐水泥水化反应演化的神经网络建模
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI: 10.1109/BICTA.2010.5645204
Lin Wang, Bo Yang, Yuehui Chen, Xiuyang Zhao, Jun Chang, Haiyang Wang
{"title":"Neural network modeling on evolution of hydration reaction for Portland cement","authors":"Lin Wang, Bo Yang, Yuehui Chen, Xiuyang Zhao, Jun Chang, Haiyang Wang","doi":"10.1109/BICTA.2010.5645204","DOIUrl":"https://doi.org/10.1109/BICTA.2010.5645204","url":null,"abstract":"The hydration reaction of Portland cement paste has an important impact on the formation of microstructure and development of strength. However, simulating the evolution of hydration reaction is very difficult because there are multi-phased, multi-sized and interrelated complex chemical and physical reactions during cement hydration. In this paper, a feedforward neural network model is built for predicting the evolution of degree of hydration. In order to reduce the computing time, GPUs are used for acceleration in parallel. Studies have shown that according to the established model, simulation curve of hydration is in good accordance with the observed experimental data.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129876227","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
Porting Molecular Dynamics simulation to heterogeneous multi-core architecture 将分子动力学模拟移植到异构多核架构
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI: 10.1109/BICTA.2010.5645120
Guofu Feng, Chi Zhang, Dongmei Huang, Xiaoshe Dong
{"title":"Porting Molecular Dynamics simulation to heterogeneous multi-core architecture","authors":"Guofu Feng, Chi Zhang, Dongmei Huang, Xiaoshe Dong","doi":"10.1109/BICTA.2010.5645120","DOIUrl":"https://doi.org/10.1109/BICTA.2010.5645120","url":null,"abstract":"MD (Molecular Dynamics) simulation is widely used for biology and chemistry study and requires computing power several orders of magnitude beyond today's commonly available computing systems. While the heterogeneous multi-core system offers substantial computation power with both lower cost and lower power consumption, its unconventional hardware architecture poses significant challenges to programmers for enabling existing applications to run efficiently on the system. Due to the complexity of applications, especially for MD applications, it is difficult to reorganize a new parallel schema for application to exploit task level parallelism on heterogeneous multi-core system during the application porting process. Instead of the common porting method that requires reorganizing the parallel schema of the application to accelerate the hotspots of the computation, a porting method which exploits task parallelism of MD software on heterogeneous multi-core system by substituting system-level communication library and remaining application's original parallel decomposition strategy unchanged was proposed in this paper. Besides preserving the integrity of the MD applications and avoiding additional cost of code modification, the experimental result of porting MD software named Moldy to IBM CBE architecture shows that the ported MD software based on our proposed porting method obtains both higher speedup ratio and higher performance.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130259615","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
An improved algorithm of mining Strong Jumping Emerging Patterns based on sorted SJEP-Tree 基于ssep - tree的强跳跃新模式挖掘改进算法
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI: 10.1109/BICTA.2010.5645245
Xiangtao Chen, Lijuan Lu
{"title":"An improved algorithm of mining Strong Jumping Emerging Patterns based on sorted SJEP-Tree","authors":"Xiangtao Chen, Lijuan Lu","doi":"10.1109/BICTA.2010.5645245","DOIUrl":"https://doi.org/10.1109/BICTA.2010.5645245","url":null,"abstract":"Jumping Emerging Patterns (JEPs) are a data mining model that is useful as a mean of discovering differences present amongst a collection of classified transaction datasets. However, current JEPs mining algorithms are usually time-consuming and pruning with minimum support may require several adjustments. In this paper, we investigate Strong Jumping Emerging Patterns (SJEPs), which are believed to be high quality patterns with the most differentiating power. We propose an improved tree-based method to effectively mine SJEPs of two data classes. Experimental results show that our algorithm is effective.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128061552","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
A novel model for splicing detection 一种新的剪接检测模型
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI: 10.1109/BICTA.2010.5645135
Zhen Zhang, Guanghua Wang, Yukun Bian, Zhou Yu
{"title":"A novel model for splicing detection","authors":"Zhen Zhang, Guanghua Wang, Yukun Bian, Zhou Yu","doi":"10.1109/BICTA.2010.5645135","DOIUrl":"https://doi.org/10.1109/BICTA.2010.5645135","url":null,"abstract":"With the advent of digital technology, digital image has gradually taken the place of the original analog photograph, and the forgery of digital image has become more and more easy and indiscoverable. Image splicing is a commonly used technique in image tampering. To implement image splicing detection a blind, passive and effective splicing detection scheme was proposed in this paper. Image splicing detection can be treated as a two-class pattern recognition problem, the model was based on moment features and some image quality metrics (IQMs) extracted from the given test image, which are sensitive to spliced image. Artificial neural network (ANN) is chosen as a classifier to train and test the given images. This model can measure statistical differences between original image and spliced image. Experimental results demonstrate that this new splicing detection algorithm is effective and reliable; indicating that the proposed approach has a broad application prospect.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128237593","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: 15
A hybrid strategy based on niche genetic algorithm and Tabu search and its convergence property 基于小生境遗传算法和禁忌搜索的混合策略及其收敛性
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI: 10.1109/BICTA.2010.5645306
Zhiyong Li, Houfu Li, Youwen Chen, Ahmed Sallam
{"title":"A hybrid strategy based on niche genetic algorithm and Tabu search and its convergence property","authors":"Zhiyong Li, Houfu Li, Youwen Chen, Ahmed Sallam","doi":"10.1109/BICTA.2010.5645306","DOIUrl":"https://doi.org/10.1109/BICTA.2010.5645306","url":null,"abstract":"Genetic algorithm and Tabu search algorithm are powerful tools to solve complex large-scale optimization problems. To deal with the prematurity and low convergence speed problems when the genetic algorithm being used for global optimization, we introduce a hybrid optimization algorithm through comprehensive contrast and comparison between the above two algorithms. In our approach, we use Tabu search algorithm for local search in order to speed up convergence speed and get satisfied results, and we use Genetic algorithm for global search, and we import niche to control prematurity and to avoid the converging to a local optimum. The convergence analysis manifests that the proposed algorithm converges to the global optimal value with probability 1, and the excremental results show that both calculations speed and output are improved.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130537098","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
Design of online monitoring unit of capacitive equipment based on DSP 基于DSP的电容式设备在线监测单元的设计
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI: 10.1109/BICTA.2010.5645103
Zhengwu Dai, Weicong Zhang
{"title":"Design of online monitoring unit of capacitive equipment based on DSP","authors":"Zhengwu Dai, Weicong Zhang","doi":"10.1109/BICTA.2010.5645103","DOIUrl":"https://doi.org/10.1109/BICTA.2010.5645103","url":null,"abstract":"In order to complete various treatment and control besides the real-time data acquisition, design an integrated digital monitoring unit based on DSP + CPLD and high-precision integration of AID, which gathered signal conditioning, data collecting, CPU controlling, algorithm processing, data storage and CAN bus communication in one. Simple introduce the overall structure of the system, use “zero magnetic flow and micro-current sensor” to gather signal, exposit the concrete realization method of high-speed AID converter and DSP interface circuit, phase-locked double frequency circuit and others communication interface circuit. Adopt good FFT to get dielectric loss's tgδ based on DSP, at same time software implementation process is described. After testing and field using, the monitoring unit perform reliably, stable, the monitor effect is good.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130550239","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
The Mathematical Theory of Integrative Physiology: Application to hippocampus for drug discovery 整合生理学的数学理论:在海马体药物发现中的应用
2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI: 10.1109/BICTA.2010.5645287
Omar Bennani, P. Chauvet, Jean-Marc Dupont
{"title":"The Mathematical Theory of Integrative Physiology: Application to hippocampus for drug discovery","authors":"Omar Bennani, P. Chauvet, Jean-Marc Dupont","doi":"10.1109/BICTA.2010.5645287","DOIUrl":"https://doi.org/10.1109/BICTA.2010.5645287","url":null,"abstract":"The modeling and the simulation of biological structure needs a united formalism for all parts of a living system. For this purpose the MTIP (Mathematical Theory of Integrative Physiology) has been developed, by Pr Gilbert Chauvet, to offer an integrated description of a living system. In this paper we will present mainly the passage from a mathematical view of a living subsystem (CA1 circuit of the hippocampus) to its computational implementation and the development of the simulator that goes with in the aim to use and validate the MTIP.","PeriodicalId":302619,"journal":{"name":"2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130205336","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
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