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2008 International Seminar on Future BioMedical Information Engineering最新文献

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Application in Stomach Epidermis Tumors Segmentation by GVF Snake Model GVF Snake模型在胃表皮肿瘤分割中的应用
Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.17
Z. Hongbin, Liu Guangli
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.
GVF蛇形模型即梯度矢量流蛇形模型。它是活动轮廓模型的代表,已被用于解决一些粘连图像的分割问题。对于具有多个粘连区域的胃表皮肿瘤,GVF蛇形模型是一种新的精确的目标边缘边界获取算法。作为该算法的第一步,在开始图像分割之前,需要进行高斯模糊和边缘映射等预处理,以获得更清晰的图像边界。预处理后的下一步是计算GVF外力场,使蛇在初始点选定后更快地向目标边界移动。实验还表明,作为GVF snake模型的关键参数,mu必须设置在0.3以下才能获得较好的分割效果,否则由于GVF外力场减弱,snake无法向目标边界靠近。
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引用次数: 4
Research on Medical Document Categorization 医学文献分类研究
Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.83
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。
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引用次数: 2
Development of PID Neural Network Control System with Virtual Instrument 基于虚拟仪器的PID神经网络控制系统开发
Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.91
Qun Yu, Huailin Shu, Huailin Shu
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.
PID神经网络控制器具有良好的控制性能,可以使神经网络和PID控制成为一个有机的整体。研究了在虚拟仪器图形化编程中实现神经网络控制的方法。采用LabVIEW对PID神经网络模块进行设计,实现了PID神经网络控制算法的仿真。
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引用次数: 4
Design and Implementation of Modern Logistics Vehicles and Cargo Tracking Systems 现代物流车辆与货物跟踪系统的设计与实现
Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.28
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.
本文针对当前的需求,设计了现代物流车辆与货物跟踪系统。该系统充分利用嵌入式系统技术和移动通信技术,对货物和车辆的情况进行实时监控,并以主动或被动的方式通过短信回复货主的查询。实践表明,该系统能够有效地提高物流企业的效率,增强企业的核心竞争力,具有较强的现实意义。
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引用次数: 6
Design of Inspecting System Based on MSP430F149 SCM and Wireless Communication Technology 基于MSP430F149单片机和无线通信技术的检测系统设计
Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.24
Wen Xinling, Liu Zhaoyu
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.
传统的现场总线系统只适用于小范围的监控。但对于大型的现场监控系统来说,存在电缆敷设困难、成本高、维护困难等缺点。本文设计了一种应用于城市电力电缆监控系统的新型无线监控系统。系统采用低功耗数字温度传感器DSB18B20实现电缆功能温度监测,MSP430F149作为工作从站完成信号分析,工作从站与中心站之间的信号通过无线收发芯片nRF905传输。上位机通过USB总线接口PDIUSBD12与巡检设备控制器连接,实现城市高压电缆现场巡检和主控室监控系统设计。本文主要详细介绍了系统的硬件设计和部分软件设计。通过实验,系统无线通信准确,监测误差能很好地满足监测要求。由于系统采用了调制设计,因此具有广阔的应用前景,如分布式智能楼宇环境监控等。
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引用次数: 2
Extracting Regions of Interest in Biomedical Images 提取生物医学图像中的感兴趣区域
Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.8
Qiaorong Zhang, Huimin Xiao
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.
感兴趣区域通常是指图像中有意义和重要的区域。利用感兴趣点可以避免处理不相关的图像点,加快处理速度。从图像中提取感兴趣区域是图像处理领域,特别是生物医学图像处理领域的一个重要而未解决的问题。本文提出了一种可行且快速的基于对比度的生物医学图像感兴趣区域提取方法。该方法从生物学角度出发,模拟人类自下而上的视觉选择注意机制,计算每个像素的全局对比度,构建显著性图。然后利用动态阈值分割显著性图,提取出感兴趣的区域。这种方法已经在许多医学图像上进行了测试。计算机实验结果表明,该方法能够快速、准确地提取生物医学图像中的感兴趣区域,表明了该方法的有效性和实用性。
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引用次数: 23
Research on Several Key Problems of the Drug Retail Enterprises Implementing GSP Electronic Supervision 药品零售企业实施GSP电子监管的几个关键问题研究
Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.118
L. Ye, Jingxiang Li, Hai Zeng, G.-X. Zhao
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.
2008年5月,国家食品药品监督管理局发布了《药品电子监管工作实施方案》,对药品安全信息化监管工作提出了明确要求。针对药品零售企业的电子监管,通过实施GSP管理软件规范企业运营流程的条件已经成熟。本文针对药品零售企业电子监管的三个关键问题:GSP流程的强制执行、GSP信息的安全存储、GSP数据的稳定上传进行了深入的研究、实践探索和详细的说明。结合中国药品监管的发展趋势,针对药品零售企业电子监管工作的未来发展进行了展望。
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引用次数: 0
Fiber in the Home: Broadband Networks and Optic Distributed Sensing 光纤在家庭:宽带网络和光分布式传感
Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.124
Baozhong Liu, Meng Peng, Wei Wang, Boya Liu
Easy and complete solutions for implementing fiber-in-the-home networks are presented in terms of optical cable installation, fiber connectorization, fiber distribution, and optoelectronic interfacing modules. Multi-functional capabilities of the fiber-in-the-home networks for broadband networks communication, building energy management, fire alarming, and structural health monitoring are proposed.
从光纤安装、光纤连接、光纤分配和光电子接口模块等方面,提出了实现光纤入户网络的简单而完整的解决方案。提出了光纤入户网络在宽带网络通信、建筑能源管理、火灾报警和结构健康监测等方面的多功能功能。
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引用次数: 0
Markov-Based Automatic Term Extraction 基于马尔可夫的自动术语提取
Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.84
Zili Zhou, Yanna Wang, Junzhong Gu
This paper presents an automatic term extraction method based on Markov process. The method aims to extract multi-word domain terms from English corpora. The paper proves that the extracting term process is a Markov chain firstly, and then gives the steps of the Markov-based method. In order to evaluate our method, we use a corpus related to computer science got by Web crawlers, and extract domain terms by methods introduced in the paper. The experiment data shows that our method out performs other methods.
提出了一种基于马尔可夫过程的术语自动提取方法。该方法旨在从英语语料库中提取多词领域术语。首先证明了提取项的过程是一个马尔可夫链,然后给出了基于马尔可夫方法的步骤。为了评估我们的方法,我们使用网络爬虫获得的计算机科学相关语料库,并使用本文介绍的方法提取领域术语。实验数据表明,该方法优于其他方法。
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引用次数: 2
Design of Distributed Intelligent Physiological Parameter Monitor System Based on Wireless Communication Technology 基于无线通信技术的分布式智能生理参数监测系统设计
Pub Date : 2008-12-18 DOI: 10.1109/FBIE.2008.60
Yu Chen, Xi Wang
According to disadvantages of conventional artificial monitor style or wire transmission monitor style, we adopt wireless communication network between field controllers and monitor central PC to design a distributed clinic medical intelligent physiological parameter data monitor system based on sensor technology, single chip microprocessor (SCM) technology, and visual instrument (VI) technology, etc. System can realize patient healthy condition monitor in real time, such as body temperature, pulse, ECG, respiratory, and so on. Sensors complete patient physiological signal acquisition, SCM AT89C52 analyzes and processes monitoring signal and transmitting to each department of hospital by wireless network. Through connecting each department monitor controller with professor monitor central station installed VI software LabVIEW by serial interface MAX485, distributed patient physiological parameter monitor system is carried out. This paper mainly introduces system structure, sensors, and wireless communication module design in detail. System can largely reduce virus infection rate between patients and nurses each other, largely save installation cost, and medical resource, etc, which has broad application prospect.
针对传统人工监控方式或有线传输监控方式的缺点,采用现场控制器与监控中央PC机之间的无线通信网络,设计了一种基于传感器技术、单片机技术、视觉仪表技术等的分布式临床医疗智能生理参数数据监控系统。系统可实现对患者体温、脉搏、心电、呼吸等健康状况的实时监测。传感器完成患者生理信号采集,单片机AT89C52对监测信号进行分析处理,并通过无线网络传输到医院各科室。通过MAX485串行接口将各科室监控控制器与安装VI软件LabVIEW的教授监控中心站连接起来,实现分布式患者生理参数监控系统。本文主要详细介绍了系统结构、传感器和无线通信模块的设计。系统可以大大降低患者与护士之间的病毒感染率,大大节省安装成本,节约医疗资源等,具有广阔的应用前景。
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引用次数: 8
期刊
2008 International Seminar on Future BioMedical Information Engineering
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