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2009 International Conference on Future BioMedical Information Engineering (FBIE)最新文献

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The framework of multi intelligent agent based on collaborative design 基于协同设计的多智能体框架
2009 International Conference on Future BioMedical Information Engineering (FBIE) Pub Date : 2009-12-01 DOI: 10.1109/FBIE.2009.5405803
Peijun Zhang, Xiaoxia Li
{"title":"The framework of multi intelligent agent based on collaborative design","authors":"Peijun Zhang, Xiaoxia Li","doi":"10.1109/FBIE.2009.5405803","DOIUrl":"https://doi.org/10.1109/FBIE.2009.5405803","url":null,"abstract":"Aiming at the characteristics of the production planning in intelligent collaborative environment, multi - agent technology was introduced to encapsulate functional or physical entities and a multi - agent based collaboration production planning model for collaborative design was proposed consequently. This model consists of three layers, namely, resource planning, global production planning and detailed collaborative design. It bears such features as hybrid multi-agent system structure, mutual-support planning layers, step-by-step refinement, and reconfigurable architecture etc. It can effectively support collaborative design.","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114700138","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
Study on long-term load forecasting of MIXSVM based on principal component analysis 基于主成分分析的MIXSVM长期负荷预测研究
2009 International Conference on Future BioMedical Information Engineering (FBIE) Pub Date : 2009-12-01 DOI: 10.1109/FBIE.2009.5405820
Li Wei, Yan Ning, Z. Zhengang
{"title":"Study on long-term load forecasting of MIXSVM based on principal component analysis","authors":"Li Wei, Yan Ning, Z. Zhengang","doi":"10.1109/FBIE.2009.5405820","DOIUrl":"https://doi.org/10.1109/FBIE.2009.5405820","url":null,"abstract":"This paper propose a long-term load forecasting model based on two integrated intelligent algorithms, i.e., principal component analysis(PCA)and support vector machines(SVM). At first, through the principal component analysis to find the core of the impact of load factor, and then build a mixed kernel function support vector machine prediction model to predict. The simulation results show that the new model compared with the traditional prediction model, prediction accuracy has been greatly improved and more applicable to long-term load forecasting.","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125276379","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: 8
Research of computing in EEG password based on wavelet 基于小波的脑电信号密码计算研究
2009 International Conference on Future BioMedical Information Engineering (FBIE) Pub Date : 2009-12-01 DOI: 10.1109/FBIE.2009.5405782
Derong Jiang, Jianfeng Hu
{"title":"Research of computing in EEG password based on wavelet","authors":"Derong Jiang, Jianfeng Hu","doi":"10.1109/FBIE.2009.5405782","DOIUrl":"https://doi.org/10.1109/FBIE.2009.5405782","url":null,"abstract":"A method which used wavelet package is put forward to extract the feature of EEG signals more efficiently. With the help of wavelet the original EEG signals are firstly decomposed and then recomposed at the related frequency range, which is in order to feature extraction, and then computed with BP network technology. The experiment result shows that the wavelet can extract the feature waves efficiently, which are obtain with more than 80 percent identification rate for three participator, person identification could be used by persons with Disabilities and the general public, so it have better adaptation.","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130029106","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
Study on desulfurization(H2S) capacity of regenerated activated carbon 再生活性炭脱硫(H2S)能力的研究
2009 International Conference on Future BioMedical Information Engineering (FBIE) Pub Date : 2009-12-01 DOI: 10.1109/FBIE.2009.5405770
Ji-hong Zhou, C. Huo
{"title":"Study on desulfurization(H2S) capacity of regenerated activated carbon","authors":"Ji-hong Zhou, C. Huo","doi":"10.1109/FBIE.2009.5405770","DOIUrl":"https://doi.org/10.1109/FBIE.2009.5405770","url":null,"abstract":"Hydrogen sulfide is a kind of toxic and harmful gas and will be harmful to respiratory system of people if exhaust it directly. There are a lot of desulfurization methods so far, and the desulfurization by activated carbon is a kind of better method. But the waste activated carbon needs regenerate. The desulfurization efficiency of regenerated waste carbon is studied in this paper. The results indicate that the desulfurization efficiency of ACF regenerated secondly by water is lower than this regenerated firstly by water, the regenerated capacity of ACF is prior to the granular activated carbon and the higher the packing height of regenerated ACF is, the better the desulfurization capacity of regenerated ACF. Meanwhile, the desulphurization mechanism is analyzed briefly in this paper","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121904176","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
Application of data mining in classification analysis of safety accidents based on alternate covering neural network 基于交替覆盖神经网络的数据挖掘在安全事故分类分析中的应用
2009 International Conference on Future BioMedical Information Engineering (FBIE) Pub Date : 2009-12-01 DOI: 10.1109/FBIE.2009.5405861
Zhiming Qu
{"title":"Application of data mining in classification analysis of safety accidents based on alternate covering neural network","authors":"Zhiming Qu","doi":"10.1109/FBIE.2009.5405861","DOIUrl":"https://doi.org/10.1109/FBIE.2009.5405861","url":null,"abstract":"Application of alternate covering neural network in data mining is given to the classification algorithms, which overcome the continuous iteration and local minimum of traditional neural network algorithms. The calculation speed is high and it is able to adapt to high-dimensional data classification well. Through case study, intuitive geometric significance of alternate covering is used to structure classification. Comparing with BP neural network algorithm and the decision tree algorithm, it is not iterative and without local minimum, which improves the speed and accuracy of classification. It is concluded that the alternative covering neural network uses parallel processing capability which can achieve rapid calculation in order to adapt to data mining applications.","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116543136","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 decision-making study of the rural network planning based on the hierarchical order dynamic gray relationship 基于层次序动态灰色关系的农村网络规划决策研究
2009 International Conference on Future BioMedical Information Engineering (FBIE) Pub Date : 2009-12-01 DOI: 10.1109/FBIE.2009.5405822
Li Wei, Yan Ning, Z. Zhengang
{"title":"The decision-making study of the rural network planning based on the hierarchical order dynamic gray relationship","authors":"Li Wei, Yan Ning, Z. Zhengang","doi":"10.1109/FBIE.2009.5405822","DOIUrl":"https://doi.org/10.1109/FBIE.2009.5405822","url":null,"abstract":"This paper propose a rural power network planning and comprehensive appraisal decision-making method based on hierarchical ordering gray relational analysis, by using hierarchical ordering relation to determine the index weight, do not construct judge matrix and consistency verification, increases computing speed, using dynamic method in the the determination of correlation coefficients of gray relational analysis to can effectively improve the float associated with resolution more in line with the actual situation.","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126274930","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 fine tuning hybrid particle swarm optimization algorithm 一种微调混合粒子群优化算法
2009 International Conference on Future BioMedical Information Engineering (FBIE) Pub Date : 2009-12-01 DOI: 10.1109/FBIE.2009.5405908
Jun Tang, Xiaojuan Zhao
{"title":"A fine tuning hybrid particle swarm optimization algorithm","authors":"Jun Tang, Xiaojuan Zhao","doi":"10.1109/FBIE.2009.5405908","DOIUrl":"https://doi.org/10.1109/FBIE.2009.5405908","url":null,"abstract":"Particle swarm optimization (PSO) has shown itsgood performance in many optimization problems. This paper introduces a new approach called hybrid particle swarm optimization like algorithm (HPSO) with fine tuning operators to solve optimisation problems. This method combines the merits of the parameter-free PSO (pf-PSO) and the extrapolated particle swarm optimization like algorithm (ePSO). The performance of all the three PSO algorithms is considerably improved with various fine tuning operators and sometimes more competitive than the recently developed PSO algorithms.","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126782217","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: 8
Affine invariant diffusion smoothing strategy for vector-valued images 矢量图像的仿射不变扩散平滑策略
2009 International Conference on Future BioMedical Information Engineering (FBIE) Pub Date : 2009-12-01 DOI: 10.1109/FBIE.2009.5405768
Xiangfen Zhang, H. Ye, Zuolei Sun
{"title":"Affine invariant diffusion smoothing strategy for vector-valued images","authors":"Xiangfen Zhang, H. Ye, Zuolei Sun","doi":"10.1109/FBIE.2009.5405768","DOIUrl":"https://doi.org/10.1109/FBIE.2009.5405768","url":null,"abstract":"The Gaussian noise introduced into the diffusion tensor images (DTIs) can bring serious impacts on tensor calculation and fiber tracking. To decrease the effects of the Gaussian noise, many Euclidean invariant gradient (EIG) based anisotropic diffusion denoising methods have been presented. In this paper, the effects of the Gaussian noise on calculated tensors were analyzed and an affine invariant gradient (AIG) based nonlinear anisotropic smooting strategy was presented. The AIG based smoothing strategy is the development of the affine invariant nonlinear anisotropic diffusion (AINAD) restoration model, introduced by Guillermo Sapiro, and adopted to restore vector-valued data. To evaluate the efficiency of the AINAD model in accounting for the Gaussian noise introduced into the vector-valued data, the peak to peak signal-to-noise ratio (PSNR) and signal-to-mean squared error ratio (SMSE) metrics are used. The experiment results acquired from the synthetic and real data prove the good performance of the presented filter.","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132008372","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
Application of computer control system in the greenhouse environmental management 计算机控制系统在温室环境管理中的应用
2009 International Conference on Future BioMedical Information Engineering (FBIE) Pub Date : 2009-12-01 DOI: 10.1109/FBIE.2009.5405880
Ji-hong Zhou, Y. Zuo
{"title":"Application of computer control system in the greenhouse environmental management","authors":"Ji-hong Zhou, Y. Zuo","doi":"10.1109/FBIE.2009.5405880","DOIUrl":"https://doi.org/10.1109/FBIE.2009.5405880","url":null,"abstract":"Due to the extensive application of automation of controlled greenhouse, computer-controlled conditioning system plays an important role in the greenhouse environment. This paper describes the composition of greenhouse computer control system, and the necessity of the computer control system in the greenhouse environment over the aspects such as the complexity of environmental management, energy saving and optimization.","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134559833","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
An infrared texture mapping approach based on binocular structured light system 基于双目结构光系统的红外纹理映射方法
2009 International Conference on Future BioMedical Information Engineering (FBIE) Pub Date : 2009-12-01 DOI: 10.1109/FBIE.2009.5405816
Zhaohui Qu, Jingfeng Bai, Yazhu Chen, Rongqian Yang
{"title":"An infrared texture mapping approach based on binocular structured light system","authors":"Zhaohui Qu, Jingfeng Bai, Yazhu Chen, Rongqian Yang","doi":"10.1109/FBIE.2009.5405816","DOIUrl":"https://doi.org/10.1109/FBIE.2009.5405816","url":null,"abstract":"An accurate and rapid scheme for infrared texture mapping is proposed based on binocular structured light system. With the help of intrinsic and extrinsic parameters of the cameras acquired in the previous work, a transformed method is proposed to flatten the object surface onto the image plane. The vertices of surface triangles are mapped to image plane and then appointed to texture values through surface interpolation. To prevent the texture information lost, all pixel points of the texture image inside the triangles are mapped to the surface rapidly through re-projection. Experimental results are provided to validate the accuracy and speed.","PeriodicalId":333255,"journal":{"name":"2009 International Conference on Future BioMedical Information Engineering (FBIE)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134234434","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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