In this paper, we propose a computer aided recognition system. With a series of approaches of image pre-processing and segmentation, extract the whole image feature namely global features, such as the number of cell, also extract the single cell feature namely local features, for example cell area and so on. Then separately do the multi-feature fusion for global feature and local feature. We construct two level of classifier, the first level is global classifier based on the most-short distance which is designed according to the global features; the second level is local classifier based on decision tree which is designed according to the local features design. Firstly according to global classifier to judge whether the stomach epidermis is normal or not, if the image is recognized to be abnormal, the classification ends. Otherwise, we recognize the image by the local classifier once again. After two level of recognitions, The experiment result indicates that this classifier can enormously enhance the classification accuracy rate.
{"title":"Multi-level Classifier Design for Tumor Micro-image Based on Multi-feature Fusion","authors":"Gan Lan, Xiu-ming Meng","doi":"10.1109/FBIE.2008.54","DOIUrl":"https://doi.org/10.1109/FBIE.2008.54","url":null,"abstract":"In this paper, we propose a computer aided recognition system. With a series of approaches of image pre-processing and segmentation, extract the whole image feature namely global features, such as the number of cell, also extract the single cell feature namely local features, for example cell area and so on. Then separately do the multi-feature fusion for global feature and local feature. We construct two level of classifier, the first level is global classifier based on the most-short distance which is designed according to the global features; the second level is local classifier based on decision tree which is designed according to the local features design. Firstly according to global classifier to judge whether the stomach epidermis is normal or not, if the image is recognized to be abnormal, the classification ends. Otherwise, we recognize the image by the local classifier once again. After two level of recognitions, The experiment result indicates that this classifier can enormously enhance the classification accuracy rate.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127861555","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}
Providing QoS support is crucial to guarantee effective transportation of multimedia service for ad hoc network. In this paper, a QoS multicast routing algorithm with bandwidth and delay constraints was proposed. It utilizes genetic algorithm to search optimized multicast tree which satisfies the QoS requirement. The simulation results show that the algorithm has fast convergence and high routing discovery rate. It will provide an available approach for multicast communication with QoS guarantee in mobile networks.
{"title":"GA Based QoS Multicast Routing Algorithm in Mobile Ad Hoc Network","authors":"Peng Yang, Biao Huang","doi":"10.1109/FBIE.2008.32","DOIUrl":"https://doi.org/10.1109/FBIE.2008.32","url":null,"abstract":"Providing QoS support is crucial to guarantee effective transportation of multimedia service for ad hoc network. In this paper, a QoS multicast routing algorithm with bandwidth and delay constraints was proposed. It utilizes genetic algorithm to search optimized multicast tree which satisfies the QoS requirement. The simulation results show that the algorithm has fast convergence and high routing discovery rate. It will provide an available approach for multicast communication with QoS guarantee in mobile networks.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127667958","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}
A priori algorithm is a classical algorithm of association rule mining and also is one of the most important algorithms. But it also has some limitations. It produces overfull candidates of frequent itemsets, so the algorithm needs scan database frequently when finding frequent itemsets. So it must be inefficient. To solve the bottleneck of the a priori algorithm, this paper introduces an improved algorithm based on the matrix. It uses the matrix effectively indicate the affairs in the database and uses the "AND operation" to deal with the matrix to produce the largest frequent itemsets and others. It needn't scan the database time and again to lookup the affairs, and also greatly reduce the number of candidates of frequent itemsets. This paper uses an example to analyze and compare the difference between the two algorithms and the result shows that the improved algorithm obtains the bonus time of calculating and promotes the efficiency of computing.
{"title":"An Improved Apriori Algorithm Based on the Matrix","authors":"Feng Wang, Yong-hua Li","doi":"10.1109/FBIE.2008.80","DOIUrl":"https://doi.org/10.1109/FBIE.2008.80","url":null,"abstract":"A priori algorithm is a classical algorithm of association rule mining and also is one of the most important algorithms. But it also has some limitations. It produces overfull candidates of frequent itemsets, so the algorithm needs scan database frequently when finding frequent itemsets. So it must be inefficient. To solve the bottleneck of the a priori algorithm, this paper introduces an improved algorithm based on the matrix. It uses the matrix effectively indicate the affairs in the database and uses the \"AND operation\" to deal with the matrix to produce the largest frequent itemsets and others. It needn't scan the database time and again to lookup the affairs, and also greatly reduce the number of candidates of frequent itemsets. This paper uses an example to analyze and compare the difference between the two algorithms and the result shows that the improved algorithm obtains the bonus time of calculating and promotes the efficiency of computing.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"43 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133174870","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}
A combustion optimizing model based on fuzzy neural networks is set up, and the optimization of providing coal volume is actualized. At the same time, the simulation model is established by MATLAB. The simulation research is processed. The simulation result indicates: in the stabilization state, if the boiler load, power plant coal character (the distinctness of coal heat glowing volume), combustion supplying air volume or combustion inducing air volume changes, the combustion optimizing model based on fuzzy neural networks can find the optimum value of providing coal volume. This result lays a strong base for optimal control and on-line prediction of the boiler.
{"title":"Modeling of the Combustion Optimizing Based on Fuzzy Neural Networks","authors":"Fu Hui-lin, Chen Lei, Shen Zhongli, Xie Youcheng","doi":"10.1109/FBIE.2008.71","DOIUrl":"https://doi.org/10.1109/FBIE.2008.71","url":null,"abstract":"A combustion optimizing model based on fuzzy neural networks is set up, and the optimization of providing coal volume is actualized. At the same time, the simulation model is established by MATLAB. The simulation research is processed. The simulation result indicates: in the stabilization state, if the boiler load, power plant coal character (the distinctness of coal heat glowing volume), combustion supplying air volume or combustion inducing air volume changes, the combustion optimizing model based on fuzzy neural networks can find the optimum value of providing coal volume. This result lays a strong base for optimal control and on-line prediction of the boiler.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114265996","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}
Starting with two famous recreational problems, Euler's problem of the Thirty six officers and Kirkman's schoolgirl problem, and stimulated by the needs of computer science, digital communication, modern business management, the subject of design theory has grown into a large branch of combinatorial mathematics. Large set of design is an important topic of design theory, which has some valuable applications to experimental design, coding theory and so on. Though the topic has acquired numerous great advances in recent years, due to its difficulty, the progress is not more than expected. An extended directed triple system is one of oriented designs, It was studied first by Huang and Yaon, By now the question about the large sets of extended directed triple system has not been discussed. In this paper, We give the concept of large sets of extended directed triple system and a recursive construction for large sets of extended directed triple system.
{"title":"A Construction for Large Sets of Pairwise Disjoint Extended Directed Triple Systems","authors":"Xiaozhe Wang, Yagang Zhang","doi":"10.1109/FBIE.2008.95","DOIUrl":"https://doi.org/10.1109/FBIE.2008.95","url":null,"abstract":"Starting with two famous recreational problems, Euler's problem of the Thirty six officers and Kirkman's schoolgirl problem, and stimulated by the needs of computer science, digital communication, modern business management, the subject of design theory has grown into a large branch of combinatorial mathematics. Large set of design is an important topic of design theory, which has some valuable applications to experimental design, coding theory and so on. Though the topic has acquired numerous great advances in recent years, due to its difficulty, the progress is not more than expected. An extended directed triple system is one of oriented designs, It was studied first by Huang and Yaon, By now the question about the large sets of extended directed triple system has not been discussed. In this paper, We give the concept of large sets of extended directed triple system and a recursive construction for large sets of extended directed triple system.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115264830","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}
Holographic biology found by Chinese Professor Ying-qing Zhang has turned on a new era from the point of view of cognizing the world and has led to a cognitive transform in cognition field and will has broad developmental and applied space. According to systems science and system cognition idea, holographic idea is theoretically explained, it is considered that holographic biomedicine is just a biomedical application of system idea in essence, so holographic biomedicine has gained a theoretical support and scientific foundation. Cognition is a mark of life, is one of the highest forms appearing in the universe, and the ability to think with abstract and ultimate modes helps human to improve cognition from the perception through sense organs up to absolute rational world level, and to get the feeling that the fountain of the universe exists as Dao which as a conception comes from Lao Zi doctrine that is inherited and developed here. Holographic idea is an ultimately evolved form of system idea, and system idea is a kind of holographic units on restricted cognition level. Life bodies are the most complex open giant systems, it is very necessary to use system idea especially holographic idea to direct the researches and applications in biomedical field and many other fields of life sciences.
{"title":"Analysis on Biology Holographicness Based on System Cognition Method","authors":"Xiaorui Zhang, Zhong Liu, Minyong Li, Meng Zhang","doi":"10.1109/FBIE.2008.34","DOIUrl":"https://doi.org/10.1109/FBIE.2008.34","url":null,"abstract":"Holographic biology found by Chinese Professor Ying-qing Zhang has turned on a new era from the point of view of cognizing the world and has led to a cognitive transform in cognition field and will has broad developmental and applied space. According to systems science and system cognition idea, holographic idea is theoretically explained, it is considered that holographic biomedicine is just a biomedical application of system idea in essence, so holographic biomedicine has gained a theoretical support and scientific foundation. Cognition is a mark of life, is one of the highest forms appearing in the universe, and the ability to think with abstract and ultimate modes helps human to improve cognition from the perception through sense organs up to absolute rational world level, and to get the feeling that the fountain of the universe exists as Dao which as a conception comes from Lao Zi doctrine that is inherited and developed here. Holographic idea is an ultimately evolved form of system idea, and system idea is a kind of holographic units on restricted cognition level. Life bodies are the most complex open giant systems, it is very necessary to use system idea especially holographic idea to direct the researches and applications in biomedical field and many other fields of life sciences.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123535052","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}
This paper simply depicts knowledge related to BP network and the algorithm first, then introduces BP tool functions supplied by Matlab for BP neural network research and how to program within the functions; finally explains the advantages supplied by BP tool functions for BP neural network research with BP neural application in pattern identification and curve imitation.
{"title":"Realization and Application Research of BP Neural Network Based on MATLAB","authors":"Linhui Liu, Jie Chen, Lixin Xu","doi":"10.1109/FBIE.2008.92","DOIUrl":"https://doi.org/10.1109/FBIE.2008.92","url":null,"abstract":"This paper simply depicts knowledge related to BP network and the algorithm first, then introduces BP tool functions supplied by Matlab for BP neural network research and how to program within the functions; finally explains the advantages supplied by BP tool functions for BP neural network research with BP neural application in pattern identification and curve imitation.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"2 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113963584","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}
Since its origins in the 1980s, third-party logistics is maturing as an option to help increase supply chain effectiveness. The trend of using third-party logistics services becomes prominent especially in the industrializing countries like China where manufacturing constitutes a major part of the GDP. This development poses a great challenge to channel managers in selecting the third-party logistics service provider (3PL) and evaluating the quality of its services. Unfortunately, the research nowadays does not provide a sufficient insight on these aspects. Many third-party logistics studies are descriptive in nature, which address the issues such as the benefits of using third-party logistics services and the areas to be outsourced. To resolve this challenge in channel management, it needs to go a step forward in examining the causality between satisfaction and loyalty on third-party logistics services. Drawing the concepts from marketing, a research model is proposed to integrate brand image and service quality in predicting satisfaction and loyalty. It also considers the effect of manufacturer-3PL relationship on these causations.
{"title":"A Theoretical Framework of Brand Image and Service Quality on Third-Party Logistics Service","authors":"Xiaoyu Wang, Z. Sha, K. Kwong, J. Leung","doi":"10.1109/FBIE.2008.43","DOIUrl":"https://doi.org/10.1109/FBIE.2008.43","url":null,"abstract":"Since its origins in the 1980s, third-party logistics is maturing as an option to help increase supply chain effectiveness. The trend of using third-party logistics services becomes prominent especially in the industrializing countries like China where manufacturing constitutes a major part of the GDP. This development poses a great challenge to channel managers in selecting the third-party logistics service provider (3PL) and evaluating the quality of its services. Unfortunately, the research nowadays does not provide a sufficient insight on these aspects. Many third-party logistics studies are descriptive in nature, which address the issues such as the benefits of using third-party logistics services and the areas to be outsourced. To resolve this challenge in channel management, it needs to go a step forward in examining the causality between satisfaction and loyalty on third-party logistics services. Drawing the concepts from marketing, a research model is proposed to integrate brand image and service quality in predicting satisfaction and loyalty. It also considers the effect of manufacturer-3PL relationship on these causations.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129322086","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}
Based on the good localization characteristic of the wavelet transform both in time and frequency domain, a de-noising method based on wavelet transform is presented, which can make happen the extraction of visual evoked potentials in single training sample from the EEG background noise in favor of studying the changes between the single sample response. The information is probably related with the different function, appearance and pathologies of the brain. The traditional Fourier filter can hardly attain the similar result. This method is different from other wavelet de-noising methods in that different criteria are employed in choosing wavelet coefficient. It has a biggest virtue of noting the differences among the single training sample and making use of the characteristics of being high time frequency resolution to reduce the effect of interference factors to a maximum extent within the time scope that EP appear. The experiment result proves that this method is not restricted by the signal-to-noise ratio of evoked potential and electroencephalograph and even can recognize instantaneous event under the condition of lower signal-to-noise ratio, as well as recognize more easily the samples which evoked evident response. Therefore, more evident average evoked response could be achieved by de-nosing the signals obtained through averaging out the samples that can evoke evident responses than de-nosing the average of original signals. In addition, averaging methodology can dramatically reduce the number of record samples needed, thus avoiding the effect of behavior change during the recording process. This methodology pays attention to the differences among single training sample and also accomplishes the extraction of visual evoked potentials from single trainings sample. As a result, system speed and accuracy could be improved to a great extent if this methodology is applied to brain-computer interface system based on evoked responses.
{"title":"The Single Training Sample Extraction of VEP Based on Wavelet Transform","authors":"Liu Fang, Fan Zhi-gang","doi":"10.1109/FBIE.2008.14","DOIUrl":"https://doi.org/10.1109/FBIE.2008.14","url":null,"abstract":"Based on the good localization characteristic of the wavelet transform both in time and frequency domain, a de-noising method based on wavelet transform is presented, which can make happen the extraction of visual evoked potentials in single training sample from the EEG background noise in favor of studying the changes between the single sample response. The information is probably related with the different function, appearance and pathologies of the brain. The traditional Fourier filter can hardly attain the similar result. This method is different from other wavelet de-noising methods in that different criteria are employed in choosing wavelet coefficient. It has a biggest virtue of noting the differences among the single training sample and making use of the characteristics of being high time frequency resolution to reduce the effect of interference factors to a maximum extent within the time scope that EP appear. The experiment result proves that this method is not restricted by the signal-to-noise ratio of evoked potential and electroencephalograph and even can recognize instantaneous event under the condition of lower signal-to-noise ratio, as well as recognize more easily the samples which evoked evident response. Therefore, more evident average evoked response could be achieved by de-nosing the signals obtained through averaging out the samples that can evoke evident responses than de-nosing the average of original signals. In addition, averaging methodology can dramatically reduce the number of record samples needed, thus avoiding the effect of behavior change during the recording process. This methodology pays attention to the differences among single training sample and also accomplishes the extraction of visual evoked potentials from single trainings sample. As a result, system speed and accuracy could be improved to a great extent if this methodology is applied to brain-computer interface system based on evoked responses.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130562719","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}
Facial expressions recognition and synthesis are important research fields to study how human beings reflect to environments in affective computing. With the rapid development of mathematical theory on multivariate statistics and multi-media technology especially image processing, facial expressions recognition researchers have achieved many useful results. Recently studies show that approaches to facial modeling and expressions recognition and synthesis analysis could be adapted to control security or even real-time health monitoring in the real world. Similarity, how to achieve facial expressions recognition and synthesis for independent-free mechanism is a central design in general. Based on the cognitive analysis of independent user's affective facial recognition researches we proposed an emotions composition model to dope out what are the user's new affective facial expressions. At this point, principal component, cluster and discriminate analysis were applied to show and verify independent user's affective expressions can be composited for synthesis by basic facial expressions such as happy, neutral and unhappy. Experiments were conducted to prove our models to be very significant.
{"title":"Facial Expression Recognition and Synthesis on Affective Emotions Composition","authors":"Xu Chao, Feng Zhiyong","doi":"10.1109/FBIE.2008.53","DOIUrl":"https://doi.org/10.1109/FBIE.2008.53","url":null,"abstract":"Facial expressions recognition and synthesis are important research fields to study how human beings reflect to environments in affective computing. With the rapid development of mathematical theory on multivariate statistics and multi-media technology especially image processing, facial expressions recognition researchers have achieved many useful results. Recently studies show that approaches to facial modeling and expressions recognition and synthesis analysis could be adapted to control security or even real-time health monitoring in the real world. Similarity, how to achieve facial expressions recognition and synthesis for independent-free mechanism is a central design in general. Based on the cognitive analysis of independent user's affective facial recognition researches we proposed an emotions composition model to dope out what are the user's new affective facial expressions. At this point, principal component, cluster and discriminate analysis were applied to show and verify independent user's affective expressions can be composited for synthesis by basic facial expressions such as happy, neutral and unhappy. Experiments were conducted to prove our models to be very significant.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128926758","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}
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