Chest X-ray enhancement to interpret pneumonia malformation based on fuzzy soft set and Dempster–Shafer theory of evidence

Image enhancement algorithms are commonly used to increase the contrast and visual quality of low-dose x-ray images. This paper proposes an automated enhancement method using soft fuzzy sets with a new decision-making scheme based on Dempster-Shafer theory of evidence for the visual interpretation of pneumonia malformation in low-dose x-ray images, called as XEFSDS. The XEFSDS model first generates an original source x-ray image into a complementary image, then each original and complement image is applied to the characterized image object and background areas of fuzzy space. The S-function is utilized to define fuzzy soft sets for the classification of gray level ambiguity in both images, and hence a decision criterion via Dempster-Shafer approach and fuzzy interval has been adapted to discriminate uncertainties on the pixel intensity and the spatial information. Modified membership grade operations have been performed on each object/background area, and Werner’s AND/OR operator (an aggregation operator) has been utilized to build a new membership function from two modified membership functions. Finally, an enhanced image is obtained from the new membership function via defuzzification. Experiments on different pneumonia X-ray images demonstrate that the XEFSDS scheme produces better results than the existing methods. To show the advantages of the XEFSDS scheme, we have executed a segmentation based examination on enhanced image for the detection of pneumonia malformation as well as abnormal lobe (lobar pneumonia) or bronchopneumonia.     

Attribute Allocation and Retrieval Scheme for Large-Scale Sensor Networks

Wireless sensor network is an emerging technology that enables remote monitoring of large geographical regions. In this paper, we address the problem of distributing attributes over such a large-scale sensor network so that the cost of data retrieval is minimized. The proposed scheme is a data-centric storage scheme where the attributes are distributed over the network depending on the correlations between them. The problem addressed here is similar to the Allocation Problem of distributed databases. In this paper, we have defined the Allocation Problem in the context of sensor networks and have proposed a scheme for finding a good distribution of attributes to the sensor network. We also propose an architecture for query processing given such a distribution of attributes. We analytically determine the conditions under which the proposed architecture is beneficial and present simulation results to demonstrate the same. To the best of our knowledge, this is the first attempt to determine an allocation of attributes over a sensor network based on the correlations between attributes.     

基于新理念的杀毒软件

论文通过对病毒及反病毒技术的发展分析,总结了现有一些较优秀的杀毒软件的优缺点,提出了基于新理念的攻防查杀型杀毒软件的实现模型。     

岩石物理性质研究技术

主要介绍了2003年EAGE岩石物性测试分析技术取得的新进展。从本届年会看，岩石物理内容主要涉及岩石物理模型建立、时延地震岩石物理与岩石各向异性分析、喷射频率和流体饱和度及其分布预测、岩石物理模拟等新方法、新技术、新成果。在充分考虑岩石物理受当地地质因素影响后，提出岩石物理模版概念，目的是为地质专家方便对岩性和流体的解释提供一种工具。     

定向断裂爆破技术在特软岩层巷道中的应用

介绍了大雁矿区特软岩层巷道成型新技术,包括定向断裂爆破技术的机理、爆破参数,以及大雁矿区特软岩层条件下实施定向断裂爆破的技术关键和注意事项。应用该技术不仅提高了巷道成型质量、节约了材料,而且保护了围岩稳定,对软岩巷道维护有重要作用。     

叉烧肉软包装的加工研究

探讨了以传统叉烧肉工艺为基础,以鲜瘦肉为原料,经过多道工序生产的一种口味多样的即食产品的配方、工艺、包装,并探讨了生产工艺的几个关键问题.产品的特点是滋味鲜美、口感细腻,不油腻,肉香浓郁,风味独特,开袋即食.     

温州市龙湾段标准堤工程软土地基变形原位观测

温州市龙湾段标准堤地基土中普遍存在一层海积淤泥,其强度低,压缩性高,承载力低,不能满足标准堤填筑及水闸运行的要求。采用预压法进行地基处理,取得的地基沉降、水平位移、孔隙水压力等现场观测资料,总结分析了该段海积淤泥地基的变形规律和特点。并提供了有关的原型观测数据,其沉降曲线规律性较好。     

软印刷技术

软印刷技术是基于弹性体印章/模具来转移图形结构的微纳加工技术。详细介绍了软印刷技术中转移图形结构的多种方式,并探讨软印刷技术在微纳电子学、光学、传感器、生物等领域的广泛应用。对软印刷技术的弹性体印章/模具制备、聚二甲基硅氧烷的属性、理论研究等进行了探讨。     

淤泥软基爆炸固结试验研究

对爆炸效应在淤泥软基工程中的应用问题进行了探讨，并首次提出了爆炸在淤泥软基中的分界应力特征以及排水固结及破坏分区的基本模式。为采用动力加速对淤泥软基工程的处理，提供了试验依据，具有实用价值和指导意义。