微球聚焦测井仪小极板的理论及实验研究

本文对微球聚焦测井仪小极板进行研究，利用有限元法计算了小极板的均质及非均质Ｋ值，并与实验结果进行了比较，结果表明理论值怀实验值吻合较好，说明了理论计算的正确性，给出了对应于小极板的泥饼校正图版及屏流比曲线，对小极板的推广应用有实用价值。     

低渗透率地层渗透率的确定方法

结合大庆油田外围低渗透率地层的地质特点,根椐渗流理论和岩心分析资料,分析了地层渗透率与孔隙度、组成地层的各种矿物含量以及泥质含量之间的关系,建立了不同矿物组合地层的渗透率计算方程。用本方法计算的和岩心分析的渗透率进行了对比,二者之间具有较好的一致性。     

中子寿命测井在评价管外窜槽中的应用

管外窜槽已成为制约中原油田注水开发的障碍，并造成了严重的经济损失。文中分析了管外窜槽的形成机理，重点介绍了注硼中子寿命测井技术用于管外窜槽监测的原理、工艺及解释方法。结合中原油田的应用实例，论证了中子寿命测井评价管外窜槽的有效性，为油藏动态监测提供了有效手段。     

X441对数放大器的原理及其应用

本文主要介绍X441单片对数放大器的基本原理和应用,并列举了一些具体应用电路。     

SUN工作站生产测井解释系统（PLASYS）

吕永军,胡亚兵,毕卓新.SUN 工作站生产测井解释系统(PLASYS).测井技术,1993;17(2):114～120Sun 工作站生产测井解释系统,是以 SUN GKS 为基本软环境支持,在 SUN 工作站上开发完成的一套生产测井资料解释与处理系统。本文详细叙述了该系统的构成、解释原理、输入输出等,并通过实例说明了该系统的解释结果。     

Self-stabilizing depth-first token circulation on networks

Summary This paper proposes a self-stabilizing protocol which circulates a token on a connected network in nondeterministic depth-first-search order, rooted at a special node. Starting with any initial state in which the network may have no token at all or more than one token, the protocol eventually makes the system stabilize in states having exactly one circulating token. With a slight modification to the protocol —by removing nondeterminism in the search — a depth-first-search tree on the network can be constructed. The proposed protocol runs on systems that allow parallel operations. Shing-Tsaan Huang was born in Taiwan on September 4, 1949. He got his Ph.D. degree in 1985 from Department of Computer Science, University of Maryland at College Park. Before he pursued his Ph.D. degree, he had worked several years in the computer industry in Taiwan. Professor Huang is currently the chairman of the Department of Computer Science, Tsing Hua University, Taiwan, Republic of China. His research interests include interconnection networks, operating systems and distributed computing. He is a senior member of the IEEE Computer Society and a member of the Association for Computing Machinery. Nian-Shing Chen was born in Taiwan on October 21, 1961. He received his Ph.D. degree in computer science from National Tsing Hua University in 1990. Dr. Chen is currently an associate professor with the Department of Information Management at Sun Yat-Sen University of Taiwan. His research interests include distributed systems, computer networks, computer viruses and expert systems. He is a member of IEEE and Phi Tau Phi honorary society.This research is supported by National Science Council of the Republic of China under the contract NSC81-0408-E-007-05 and NSC82-0408-E-007-027     

面向数据挖掘的教学系统的设计与实现

由于数据挖掘技术具备从大量数据中提取特定数据模型的优势,已得到广泛的认可和应用。目前,数据挖掘在教育领域中应用的主要热点之一是如何构建面向数据挖掘的教学系统的研究。介绍一种面向数据挖掘技术的教学网站的设计思想和实现方法。该网站实现传统教学系统的通用模块,并增加对教学日志的支持功能。该功能为数据挖掘研究提供实验数据和实践平台。     

Mutual spectral residual approach for multifocus image fusion

Multifocus image fusion is the process of obtaining a single image from multiple partially focused images such that the newly formed image consists of the well-defined information extracted from each source image. This paper proposes the use of saliency of the source images based on Mutual Spectral Residual. Spectral Residual brings out the unique/salient features of an image in frequency domain. The idea of proposed mutual spectral residual is to emphasize the relative unique features of a source image with respect to the other source images. The relative unique features are utilized to form saliency maps for each source image. These saliency maps can clearly indicate the focused and defocused parts of an image. Based on the saliency maps obtained, the image fusion takes place in spatial domain. Visual inspection and quantitative evaluation of the fused images obtained by the proposed method, using different evaluation metrics, demonstrate its effectiveness over several existing image fusion methods.     

Single Sign—On（SSO）技术探讨

当为了支持商业进程而沿伸IT系统时,用户和系统管理员为了完成工作,面对着日益增长的复杂的各种接口（人机交互接口）。用户需要登录多个的系统,而系统管理员则需要以同样的方式,维护多个系统的用户账号。单点登陆系统能集统一各个系统的认证和授权,解决用户和管理员的困扰,并大大提高安全性。利用Kerberos思想和SSL技术,在HTTP协议基础上建立有效的认证和授权机制,提出可行的Web单点登陆平台解决方案。     

基于极坐标Log Gabor小波的纹理分析方法

提出一种基于极坐标Log Gabor小波的纹理分析方法,该方法突破了Gabor小波的带宽限制,仅采用较少的极坐标Log Gabor滤波器,即实现了准确地纹理分割.实验表明,在频谱覆盖相同的情况下,极坐标Log Gabor小波具有较Gabor小波更好的性能和更高的效率;此外,实验中针对多通道滤波方法对最小距离判别方法的改进,也取得了较好的效果,这为基于小波分解的分类问题提供了一个新的思路.