GVF snake model means gradient vector flow snake model. It is a representative of the active contour model and it has been used to solve image segmentation for some conglutinated images. GVF snake model is also a new accurate arithmetic to obtain the boundary of the object edge especially for those stomach epidermis tumors which have several conglutinated areas. As the first step of this arithmetic, many pretreatment processes are necessary such as the gauss blur and the edge mapping to get the clearer image boundary before starting the image segmentation. The next step after pretreatment processes is calculating the GVF outside force field which makes the snake move quicker to the object boundary after the initial points been selected. The experiments also show that as the key parameter of GVF snake model, mu must be set below 0.3 in order to get better segmentation results, otherwise the snake cannot move closer to the object boundary because the GVF outside force field dies down.
{"title":"Application in Stomach Epidermis Tumors Segmentation by GVF Snake Model","authors":"Z. Hongbin, Liu Guangli","doi":"10.1109/FBIE.2008.17","DOIUrl":"https://doi.org/10.1109/FBIE.2008.17","url":null,"abstract":"GVF snake model means gradient vector flow snake model. It is a representative of the active contour model and it has been used to solve image segmentation for some conglutinated images. GVF snake model is also a new accurate arithmetic to obtain the boundary of the object edge especially for those stomach epidermis tumors which have several conglutinated areas. As the first step of this arithmetic, many pretreatment processes are necessary such as the gauss blur and the edge mapping to get the clearer image boundary before starting the image segmentation. The next step after pretreatment processes is calculating the GVF outside force field which makes the snake move quicker to the object boundary after the initial points been selected. The experiments also show that as the key parameter of GVF snake model, mu must be set below 0.3 in order to get better segmentation results, otherwise the snake cannot move closer to the object boundary because the GVF outside force field dies down.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"239 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131652452","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}
Qirui Zhang, Yonggang Xue, Huaying Zhou, Jinghua Tan
Medical document categorization is the process of automatically assigning one or more predefined category labels to medical documents. Document indexing plays a very important role in the process of classification. This paper proposes an improved method of computing term weights which is called tfidfie (term frequency, inverted document frequency and inverted entropy). In comparison with the tfidf (term frequency and inverted document frequency) function, the tfidfie function adds an information entropy factor, H, which represents the distribution of documents in the training set in which the term occurs. Then, we discuss the effects of training set in medical document categorization. An imbalanced training set decreases the performance of classifier. Considering the characteristics of medical documents, the medical classifiers are constructed by the methods of Naive Bayes and Rocchio respectively. The experiment results show that tfidfie improves the classification performance and Naive Bayes outperforms Rocchio.
医疗文档分类是将一个或多个预定义的类别标签自动分配给医疗文档的过程。文献标引在分类过程中起着非常重要的作用。本文提出了一种改进的术语权重计算方法，称为tfidfie(术语频率、倒立文档频率和倒立熵)。与tfidf (term frequency and inverse document frequency)函数相比，tfidf函数增加了一个信息熵因子H, H表示该词出现在训练集中的文档分布。然后，我们讨论了训练集在医学文献分类中的作用。不平衡的训练集会降低分类器的性能。针对医学文献的特点，分别采用朴素贝叶斯和罗基奥方法构建医学分类器。实验结果表明，该算法提高了分类性能，朴素贝叶斯算法优于罗基奥算法。
{"title":"Research on Medical Document Categorization","authors":"Qirui Zhang, Yonggang Xue, Huaying Zhou, Jinghua Tan","doi":"10.1109/FBIE.2008.83","DOIUrl":"https://doi.org/10.1109/FBIE.2008.83","url":null,"abstract":"Medical document categorization is the process of automatically assigning one or more predefined category labels to medical documents. Document indexing plays a very important role in the process of classification. This paper proposes an improved method of computing term weights which is called tfidfie (term frequency, inverted document frequency and inverted entropy). In comparison with the tfidf (term frequency and inverted document frequency) function, the tfidfie function adds an information entropy factor, H, which represents the distribution of documents in the training set in which the term occurs. Then, we discuss the effects of training set in medical document categorization. An imbalanced training set decreases the performance of classifier. Considering the characteristics of medical documents, the medical classifiers are constructed by the methods of Naive Bayes and Rocchio respectively. The experiment results show that tfidfie improves the classification performance and Naive Bayes outperforms Rocchio.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"8 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":"130987909","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}
Traditional field bus system is only suitable to small range monitor. But to a large-scale field monitor system, it has many disadvantages such as difficult cable laying, high cost and hard maintenance, etc. This paper design a kind of new wireless monitoring system application into city electric power cable monitor and control system. System uses low power digital temperature sensor DSB18B20 to realizing cable function temperature monitor, MSP430F149 acts as work slave station to complete signal analysis, and signal transmits between work slave station and central station by wireless transceiver chip nRF905. Upper PC links with inspecting equipment controller through USB bus interface PDIUSBD12, which realizes city high-voltage cable filed inspection and main control room monitor and control system design. This paper mainly introduces system hardware and part of software design in detail. Through experiment, system wireless communication is accurate, and monitor error can match monitoring requirement well as expected. Due to system adopts modulation design, so, it has broad application prospect, such as distributed intelligent building circumstance monitor and control, etc.
{"title":"Design of Inspecting System Based on MSP430F149 SCM and Wireless Communication Technology","authors":"Wen Xinling, Liu Zhaoyu","doi":"10.1109/FBIE.2008.24","DOIUrl":"https://doi.org/10.1109/FBIE.2008.24","url":null,"abstract":"Traditional field bus system is only suitable to small range monitor. But to a large-scale field monitor system, it has many disadvantages such as difficult cable laying, high cost and hard maintenance, etc. This paper design a kind of new wireless monitoring system application into city electric power cable monitor and control system. System uses low power digital temperature sensor DSB18B20 to realizing cable function temperature monitor, MSP430F149 acts as work slave station to complete signal analysis, and signal transmits between work slave station and central station by wireless transceiver chip nRF905. Upper PC links with inspecting equipment controller through USB bus interface PDIUSBD12, which realizes city high-voltage cable filed inspection and main control room monitor and control system design. This paper mainly introduces system hardware and part of software design in detail. Through experiment, system wireless communication is accurate, and monitor error can match monitoring requirement well as expected. Due to system adopts modulation design, so, it has broad application prospect, such as distributed intelligent building circumstance monitor and control, etc.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"68 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":"115840450","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}
The PID neural network controller has good control performance, can make both neural networks and PID control into an organic whole. The approach to realize neural network control in graphical programming of virtual instrument is researched. Adopting LabVIEW to design the module of PID neural network, it has realized the simulation of PID neural network control algorithm.
{"title":"Development of PID Neural Network Control System with Virtual Instrument","authors":"Qun Yu, Huailin Shu, Huailin Shu","doi":"10.1109/FBIE.2008.91","DOIUrl":"https://doi.org/10.1109/FBIE.2008.91","url":null,"abstract":"The PID neural network controller has good control performance, can make both neural networks and PID control into an organic whole. The approach to realize neural network control in graphical programming of virtual instrument is researched. Adopting LabVIEW to design the module of PID neural network, it has realized the simulation of PID neural network control algorithm.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"473 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":"114966159","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}
Regions of interest (ROI) usually means the meaningful and important regions in the images. The use of ROI can avoid the processing of irrevelent image points and accelerate the processing. Extraction of regions of interest from images is an important and unsolved topic in the image processing area, especially in biomedical image processing area. In this paper, a feasible and fast constrast-based method is proposed to extract regions of interest in biomedical images. Motivated biologically, this approach simulates the bottom-up human visual selective attention mechanism, computes the global contrast of each pixel and constructs the saliency map.Then by segmentating the saliency map using a dynamic threshold, the regions of interest can be extracted. This approach has been tested on many medical images. Computer experimental results show that the proposed method can extract regions of interste in biomedical images rapidly and precisely, and indicate that the proposed approach is effective and practicable.
{"title":"Extracting Regions of Interest in Biomedical Images","authors":"Qiaorong Zhang, Huimin Xiao","doi":"10.1109/FBIE.2008.8","DOIUrl":"https://doi.org/10.1109/FBIE.2008.8","url":null,"abstract":"Regions of interest (ROI) usually means the meaningful and important regions in the images. The use of ROI can avoid the processing of irrevelent image points and accelerate the processing. Extraction of regions of interest from images is an important and unsolved topic in the image processing area, especially in biomedical image processing area. In this paper, a feasible and fast constrast-based method is proposed to extract regions of interest in biomedical images. Motivated biologically, this approach simulates the bottom-up human visual selective attention mechanism, computes the global contrast of each pixel and constructs the saliency map.Then by segmentating the saliency map using a dynamic threshold, the regions of interest can be extracted. This approach has been tested on many medical images. Computer experimental results show that the proposed method can extract regions of interste in biomedical images rapidly and precisely, and indicate that the proposed approach is effective and practicable.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"17 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":"122825846","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}
Cuiju Li, Zhizheng Zhou, Feng Yang, Shuming Jiang, Liping Wang
In this paper, a modern logistics vehicles and cargo tracking system is designed in view of the current demand. Making full use of embedded systems technology and mobile communications technology, this system is designed to monitor the situation of cargo and vehicles in real-time and to reply the query of the owner of cargo by SMS in active or passive mode. Practice shows that this system can efficiently improve the efficiency and enhance core competencies of the logistics enterprise and it has strong practical significance.
{"title":"Design and Implementation of Modern Logistics Vehicles and Cargo Tracking Systems","authors":"Cuiju Li, Zhizheng Zhou, Feng Yang, Shuming Jiang, Liping Wang","doi":"10.1109/FBIE.2008.28","DOIUrl":"https://doi.org/10.1109/FBIE.2008.28","url":null,"abstract":"In this paper, a modern logistics vehicles and cargo tracking system is designed in view of the current demand. Making full use of embedded systems technology and mobile communications technology, this system is designed to monitor the situation of cargo and vehicles in real-time and to reply the query of the owner of cargo by SMS in active or passive mode. Practice shows that this system can efficiently improve the efficiency and enhance core competencies of the logistics enterprise and it has strong practical significance.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"10 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":"121308622","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}
In May 2008, SFDA released the implementation scheme of drug electronic supervision work, bringing forward clear requirements for the informatization supervision work of drug safety. The condition of standardizing the enterprise operation process through implementing GSP management software aiming at the electronic supervision of the drug retail enterprises has been mature. This paper carries out deep research, practice exploration and detailed explanation aiming at the three key problems of the electronic supervision of drug retail enterprises: compulsory enforcement of GSP flow, safe storage of GSP information, stable upload of GSP data. The paper also makes expectation combining the development trend of drug supervision in China and aiming at the future development of the electronic supervision work of the drug retail enterprises.
{"title":"Research on Several Key Problems of the Drug Retail Enterprises Implementing GSP Electronic Supervision","authors":"L. Ye, Jingxiang Li, Hai Zeng, G.-X. Zhao","doi":"10.1109/FBIE.2008.118","DOIUrl":"https://doi.org/10.1109/FBIE.2008.118","url":null,"abstract":"In May 2008, SFDA released the implementation scheme of drug electronic supervision work, bringing forward clear requirements for the informatization supervision work of drug safety. The condition of standardizing the enterprise operation process through implementing GSP management software aiming at the electronic supervision of the drug retail enterprises has been mature. This paper carries out deep research, practice exploration and detailed explanation aiming at the three key problems of the electronic supervision of drug retail enterprises: compulsory enforcement of GSP flow, safe storage of GSP information, stable upload of GSP data. The paper also makes expectation combining the development trend of drug supervision in China and aiming at the future development of the electronic supervision work of the drug retail enterprises.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"18 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":"125215002","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}
The paper introduced a data acquisition system which is based on virtual instruments technology. The data acquisition system can not only obtain the spot signal speedily and accurately, but also can finish data acquisition, data real-time display, data conservation and the display of change tendency. The system I divided into two parts: the top machine is controlled by single chip machine; the bottom machine displays the data and saves the data with LabVIEW which is belonged to National Instruments.
{"title":"The Design on the Multi-temperature Testing System Based on the Laview","authors":"ChangQing Cai, Wei-jie Zhang","doi":"10.1109/FBIE.2008.121","DOIUrl":"https://doi.org/10.1109/FBIE.2008.121","url":null,"abstract":"The paper introduced a data acquisition system which is based on virtual instruments technology. The data acquisition system can not only obtain the spot signal speedily and accurately, but also can finish data acquisition, data real-time display, data conservation and the display of change tendency. The system I divided into two parts: the top machine is controlled by single chip machine; the bottom machine displays the data and saves the data with LabVIEW which is belonged to National Instruments.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"59 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":"127781446","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}
Urban traffic and transportation problems have become the main problem in the way of urban development. In order to resolve prediction problem of traffic volume, firstly, time series of traffic volume are reconstructed in the phase space in this paper, and correlative information in the traffic volume are extracted richly, then two-stage prediction system for traffic volume is applied: the first stage contains two parallel improved Elman neural networks, which are trained by standard back propagation algorithm, the second stage mixes prediction results of the first stage, which is trained by Karmarkarpsilas linear programming. Real example shows that predicted result of this method is famous, and this method has biggish applied potentials in the region of traffic control.
{"title":"Research on a Combined Neural Networks Prediction Model for Urban Traffic Volume","authors":"Zheng Zhou, Kun Huang","doi":"10.1109/FBIE.2008.15","DOIUrl":"https://doi.org/10.1109/FBIE.2008.15","url":null,"abstract":"Urban traffic and transportation problems have become the main problem in the way of urban development. In order to resolve prediction problem of traffic volume, firstly, time series of traffic volume are reconstructed in the phase space in this paper, and correlative information in the traffic volume are extracted richly, then two-stage prediction system for traffic volume is applied: the first stage contains two parallel improved Elman neural networks, which are trained by standard back propagation algorithm, the second stage mixes prediction results of the first stage, which is trained by Karmarkarpsilas linear programming. Real example shows that predicted result of this method is famous, and this method has biggish applied potentials in the region of traffic control.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"48 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":"128088083","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}
Investigations show that the rehabilitation of cerebral stroke patients depends on their psychological condition in particular. Therefore, studying psychological condition of cerebral stroke patients is very important. Psychological characteristics analysis of cerebral stroke patients now becomes the hot domain in biomedical field. In this paper, we propose the key indexes on cerebral stroke patients based on these characteristics, including emotion, depression, and anxiety etc. According to these indexes we build a detailed mental scale. Using the scale we can obtain a norm of cerebral stroke patients. Based on the norm we propose a kind of generalized linear regression model with convex constraint, in which the dependent variable and regression coefficients all are unknown. We give the least square estimation of parameters using the alternating projection algorithm between two convex sets. After getting the solution of the evaluation model we can realize the evaluation cerebral stroke patients. Our work may give a useful tool for evaluation and a precondition for deep research of the cerebral stroke patients.
{"title":"Alternating Projection Algorithm of Linear Regression Method with Convex Constraint in Cerebral Stroke Patients' Psychological Analysis","authors":"Hengqing Tong, Wenjuan Wang, Xiaochuan Lu","doi":"10.1109/FBIE.2008.103","DOIUrl":"https://doi.org/10.1109/FBIE.2008.103","url":null,"abstract":"Investigations show that the rehabilitation of cerebral stroke patients depends on their psychological condition in particular. Therefore, studying psychological condition of cerebral stroke patients is very important. Psychological characteristics analysis of cerebral stroke patients now becomes the hot domain in biomedical field. In this paper, we propose the key indexes on cerebral stroke patients based on these characteristics, including emotion, depression, and anxiety etc. According to these indexes we build a detailed mental scale. Using the scale we can obtain a norm of cerebral stroke patients. Based on the norm we propose a kind of generalized linear regression model with convex constraint, in which the dependent variable and regression coefficients all are unknown. We give the least square estimation of parameters using the alternating projection algorithm between two convex sets. After getting the solution of the evaluation model we can realize the evaluation cerebral stroke patients. Our work may give a useful tool for evaluation and a precondition for deep research of the cerebral stroke patients.","PeriodicalId":415908,"journal":{"name":"2008 International Seminar on Future BioMedical Information Engineering","volume":"52 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":"126628783","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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