泛系思维与应用：科学技术,方法论,创新与智能信息处理（Ⅱ）（上）

本文续前论述乏系思维的框架和方法论、创新运筹与智能信息处理问题,简化强化地介绍了几十种泛系理法及其应用,具体内容包括：泛系思维简式、泛系原则、泛系螺旋、显生原则、系统原则、广义系统、局整关系、分析与综合、整体性、结构与功能、遗憾原则、竞分三故、等价原则、竞标律、层标模型、简化５０计、转化原则、泛系数学建模总体转化模式、泛对称普适原则、广义量化、泛积原理、模糊控制、故障诊断的专家系统、数学建模三范畴     

车联网隐私保护技术研究

随着汽车智能化、网联化程度的不断加深,车辆、用户及第三方机构之间的数据共享日益成为刚需,由车辆、用户、路边单元等通信实体之间构建的网络车联网应运而生,而车联网的高移动性和网络拓扑多变性使其更容易遭受攻击,进而导致严重的车联网用户隐私泄露问题。如何平衡数据共享和隐私保护之间的关系成为车联网产业发展所面临的一个关键挑战。近年来,学术界针对车联网隐私保护问题进行了深入的研究,并提出了一系列解决方案,然而,目前缺少对这些方案从隐私属性方面进行分析。为此,本文首先从车联网的系统架构、通信场景及标准进行阐述。然后对车联网隐私保护的需求、攻击模型及隐私度量方法进行分析与总结。在此基础上从车联网身份隐私、匿名认证位置隐私和车联网位置服务隐私三个方面出发,介绍了匿名认证、假名变更、同态加密、不经意传输等技术对保护车联网用户隐私起到的重要作用,并讨论了方案的基本原理及代表性实现方法,将方案的隐私性从不可链接性、假名性、匿名性、不可检测性、不可观察性几个方面进行了分析与总结。最后探讨了车联网隐私保护技术当前面临的挑战及进一步研究方向,并提出了去中心化的车辆身份隐私技术以保护车辆身份隐私、自适应假名变更技术以支持匿名认证、满足个性化隐私需求的位置服务隐私保护技术,以期望进一步推动车联网隐私保护技术研究的发展与应用。     

基于H.263解压算法和UDP协议的多方视频会议系统

简要概括了视频会议系统的设计原理,重点讲述了视频会议系统的实现过程,从视音频俘获、视音频数据压缩,数据传送、数据接收、数据解压,到音频数据播放、视频数据显示的整个过程.特别是对实现过程中的模拟会议室的创建过程、命令解析、视音频同步、音频数据的混音处理、中间代理服务器转发等做了详细的讲解.并对视频会议系统的发展和应用前景进行了认真的分析.     

Sixty years of cybernetics

Fundamental aspects of cybernetics, such as goals, problems, methods, tools, brief history, and correlation with other sciences, are considered. Cybernetics in its classical interpretation is the science of information management, communication, and processing. As cybernetics developed, this definition was formalized as the science of methods and processes of information acquisition, storage, processing, analysis, and evaluation, which allows it to apply to decision making in complex control systems. These systems include all engineering, biological, administrative, social, ecological, and economical systems. The main thesis that determined the goals, problems, subject matter, and development of cybernetics as a whole up to the present is the similarity in management and communication processes in machines, living organisms, and both animal and human societies. First of all, these are processes of transfer, storage, and processing of information, i.e., various signals, messages, and data. Any signal and any information may be considered independently from its particular content and destination as a certain choice between two or more values having the known probabilities (selective concept of information). It allows us to treat all processes on the basis of a unified measure and statistical apparatus. The idea of the general theory of control and communication, that is, cybernetics, is based on this hypothesis.     

Mapping complexity of spatial distribution of faults using fractal and multifractal models: vectoring towards exploration targets

In this paper, fractal and multifractal analyses are demonstrated as effective tools for mapping complexity in the spatial distribution of faults. Faults within the eastern part of Gejiu mining area, Yunnan province, west southern China were chosen to demonstrate mapping of the complexity of their spatial distributions using fractal and multifractal models. The results show that (1) the fractal dimensions of the spatial distributions of all faults, NW-trending faults, and NE-trending faults are 1.68, 1.49, and 1.42, respectively, indicating differences in spatial distributions of different sets of faults; (2) the fractal dimensions of the spatial distributions of faults in the four Sn fields in the Gejiu mining district, namely Malage, Gaosong, Laochang, and Kafang (arranged in the order of increasing proportions of surface-projected areas of Sn orebodies) are 1.38, 1.57, 1.65, and 1.41, respectively; and (3) complexity of the spatial distributions of faults, represented by fractal dimension, correlates well with surface-projected areas of Sn orebodies, and lengths of faults satisfy the multifractal statistical and singularity index α, which can be used to quantify the complexity of the spatial distributions of faults.     

云模式事件混沌关联特征提取的物联网大数据聚类算法

目前的聚类方法单纯从某个角度研究数据聚类问题,对基于云模式的混沌的物联网大数据聚类的考虑不足,聚类质量不高。为实现敏捷、智能、平稳的物联网大数据聚类,基于开展物联网事件的云模式通用描述模型、物联网事件混沌关联特征的云模式通用解析模型、基于云模式的物联网事件混沌关联特征提取算法、基于云模式混沌关联特征的物联网大数据关联挖掘研究,改进分解奇异值算法、网格耦合聚类算法、K-means算法、决策树学习法、分析主成分法、分层合并法等算法和分布概率函数,设计了一种基于事件混沌关联特征、敏捷、智能、平稳的物联网大数据聚类算法。最后,开展实验验证,并与传统算法进行性能对比分析。实验结果表明,相比传统算法,该算法聚类时间短、误差小,且敏捷性、智能性、动态演化性和平稳性高。因此,该算法实现了基于云模式的具有混沌关联特征的物联网事件大数据的有效聚类,具有较高的应用价值。     

Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers

In this paper, we present a new method for fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers. The proposed method considers the centroid points and the standard deviations of generalized trapezoidal fuzzy numbers for ranking generalized trapezoidal fuzzy numbers. We also use an example to compare the ranking results of the proposed method with the existing centroid-index ranking methods. The proposed ranking method can overcome the drawbacks of the existing centroid-index ranking methods. Based on the proposed ranking method, we also present an algorithm to deal with fuzzy risk analysis problems. The proposed fuzzy risk analysis algorithm can overcome the drawbacks of the one we presented in [7]. Shi-Jay Chen was born in 1972, in Taipei, Taiwan, Republic of China. He received the B.S. degree in information management from the Kaohsiung Polytechnic Institute, Kaohsiung, Taiwan, and the M.S. degree in information management from the Chaoyang University of Technology, Taichung, Taiwan, in 1997 and 1999, respectively. He received the Ph.D. degree at the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, in October 2004. His research interests include fuzzy systems, multicriteria fuzzy decisionmaking, and artificial intelligence. Shyi-Ming Chen was born on January 16, 1960, in Taipei, Taiwan, Republic of China. He received the Ph.D. degree in Electrical Engineering from National Taiwan University, Taipei, Taiwan, in June 1991. From August 1987 to July 1989 and from August 1990 to July 1991, he was with the Department of Electronic Engineering, Fu-Jen University, Taipei, Taiwan. From August 1991 to July 1996, he was an Associate Professor in the Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan. From August 1996 to July 1998, he was a Professor in the Department of Computer and Information Science, National Chiao Tung University, Hsinchu, Taiwan. From August 1998 to July 2001, he was a Professor in the Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. Since August 2001, he has been a Professor in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. He was a Visiting Scholar in the Department of Electrical Engineering and Computer Science, University of California, Berkeley, in 1999. He was a Visiting Scholar in the Institute of Information Science, Academia Sinica, Republic of China, in 2003. He has published more than 250 papers in referred journals, conference proceedings and book chapters. His research interests include fuzzy systems, information retrieval, knowledge-based systems, artificial intelligence, neural networks, data mining, and genetic algorithms. Dr. Chen has received several honors and awards, including the 1994 Outstanding Paper Award o f the Journal of Information and Education, the 1995 Outstanding Paper Award of the Computer Society of the Republic of China, the 1995 and 1996 Acer Dragon Thesis Awards for Outstanding M.S. Thesis Supervision, the 1995 Xerox Foundation Award for Outstanding M.S. Thesis Supervision, the 1996 Chinese Institute of Electrical Engineering Award for Outstanding M.S. Thesis Supervision, the 1997 National Science Council Award, Republic of China, for Outstanding Undergraduate Student's Project Supervision, the 1997 Outstanding Youth Electrical Engineer Award of the Chinese Institute of Electrical Engineering, Republic of China, the Best Paper Award of the 1999 National Computer Symposium, Republic of China, the 1999 Outstanding Paper Award of the Computer Society of the Republic of China, the 2001 Institute of Information and Computing Machinery Thesis Award for Outstanding M.S. Thesis Supervision, the 2001 Outstanding Talented Person Award, Republic of China, for the contributions in Information Technology, the 2002 Institute of information and Computing Machinery Thesis Award for Outstanding M.S. Thesis Supervision, the Outstanding Electrical Engineering Professor Award granted by the Chinese Institute of Electrical Engineering (CIEE), Republic of China, the 2002 Chinese Fuzzy Systems Association Best Thesis Award for Outstanding M.S. Thesis Supervision, the 2003 Outstanding Paper Award of the Technological and Vocational Education Society, Republic of China, the 2003 Acer Dragon Thesis Award for Outstanding Ph.D. Dissertation Supervision, the 2005 “Operations Research Society of Taiwan” Award for Outstanding M.S. Thesis Supervision, the 2005 Acer Dragon Thesis Award for Outstanding Ph.D. Dissertation Supervision, the 2005 Taiwan Fuzzy Systems Association Award for Outstanding Ph.D. Dissertation Supervision, and the 2006 “Operations Research Society of Taiwan” Award for Outstanding M.S. Thesis Supervision. Dr. Chen is currently the President of the Taiwanese Association for Artificial Intelligence (TAAI). He is a Senior Member of the IEEE, a member of the ACM, the International Fuzzy Systems Association (IFSA), and the Phi Tau Phi Scholastic Honor Society. He was an administrative committee member of the Chinese Fuzzy Systems Association (CFSA) from 1998 to 2004. He is an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics - Part C, an Associate Editor of the IEEE Computational Intelligence Magazine, an Associate Editor of the Journal of Intelligent & Fuzzy Systems, an Editorial Board Member of the International Journal of Applied Intelligence, an Editor of the New Mathematics and Natural Computation Journal, an Associate Editor of the International Journal of Fuzzy Systems, an Editorial Board Member of the International Journal of Information and Communication Technology, an Editorial Board Member of the WSEAS Transactions on Systems, an Editor of the Journal of Advanced Computational Intelligence and Intelligent Informatics, an Associate Editor of the WSEAS Transactions on Computers, an Editorial Board Member of the International Journal of Computational Intelligence and Applications, an Editorial Board Member of the Advances in Fuzzy Sets and Systems Journal, an Editor of the International Journal of Soft Computing, an Editor of the Asian Journal of Information Technology, an Editorial Board Member of the International Journal of Intelligence Systems Technologies and Applications, an Editor of the Asian Journal of Information Management, an Associate Editor of the International Journal of Innovative Computing, Information and Control, and an Editorial Board Member of the International Journal of Computer Applications in Technology. He was an Editor of the Journal of the Chinese Grey System Association from 1998 to 2003. He is listed in International Who's Who of Professionals, Marquis Who's Who in the World, and Marquis Who's Who in Science and Engineering.     

Content-based image retrieval at the end of the early years

Presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps for image retrieval systems. Step one of the review is image processing for retrieval sorted by color, texture, and local geometry. Features for retrieval are discussed next, sorted by: accumulative and global features, salient points, object and shape features, signs, and structural combinations thereof. Similarity of pictures and objects in pictures is reviewed for each of the feature types, in close connection to the types and means of feedback the user of the systems is capable of giving by interaction. We briefly discuss aspects of system engineering: databases, system architecture, and evaluation. In the concluding section, we present our view on: the driving force of the field, the heritage from computer vision, the influence on computer vision, the role of similarity and of interaction, the need for databases, the problem of evaluation, and the role of the semantic gap     

基于大数据的烟草企业信息化战略布局研究

为了提升烟草企业自身的生产、经营、决策和管理的水平,做强品牌,做大企业,做实市场,本文基于大数据技术,结合企业数据应用现状,从数据管理、品牌定位、物流运营及市场投放层面着手,提出了烟草企业如何借助数据分析调整战略布局。应用大数据技术后,烟草企业通过清晰客户需求,实现品牌精准定位,运营模式由规模性制造转向为个性化定制;通过掌控业务流程、品牌营销、市场竞争等方面的数据,实现市场的支配,企业决策方式由业务驱动转型为数据驱动;通过内外部数据采集、筛选、存储、分析和决策,以支撑预测、辅助决策,实现决策机制由被动式演变为预判式。     

面向海洋的多模态智能计算：挑战、进展和展望

海洋是高质量发展的要地,海洋科学大数据的发展为认知和经略海洋带来机遇的同时也引入了新的挑战。海洋科学大数据具有超多模态的显著特征,目前尚未形成面向海洋领域特色的多模态智能计算理论体系和技术框架。因此,本文首次从多模态数据技术的视角,系统性介绍面向海洋现象/过程的智能感知、认知和预知的交叉研究进展。首先,通过梳理海洋科学大数据全生命周期的阶段演进过程,明确海洋多模态智能计算的研究对象、科学问题和典型应用场景。其次,在海洋多模态大数据内容分析、推理预测和高性能计算3个典型应用场景中展开现有工作的系统性梳理和介绍。最后,针对海洋数据分布和计算模式的差异性,提出海洋多模态大数据表征建模、跨模态关联、推理预测以及高性能计算4个关键科学问题中的挑战,并提出未来展望。     

Datamatic baseoperations in factory management systems

A research program, oriented towards the development of a new generation software for engineering-economic factory management systems, is being carried out jointly by the Electric Power Engineering Department, Technical University of Denmark, and the Production Engineering Laboratory NTH-SINTEF, University of Trondheim. An outline of this program, emphasizing the more fundamental aspects, is the purpose of the present account. Essentially, the basic idea is that, independent of the size of the industrial firm, a flexible design of any such system must take place putting together standardized building-blocks. Hence, the aim is to develop, to formulate, and to test in industrial practice datamatic or data-processing base operations forming such blocks. The outcome of the program, therefore, paves the way for a new technique of system generation. A technique which, based on a high degree of software reuse, is especially suited to meet the demands of the future; that is, demands such as user-controlled system development, specific factory adjustment, fast system production, and cheaper, modular, extendable, and transparent solutions. A characteristics feature of a program like this, is that it combines knowledge from a variety of different fields comprising in particular system science, production engineering and data processing techniques. Accordingly, the program is subdivided into a series of mutually coordinated, doctoral projects carried through at the two institutions in close cooperation with interested Danish and Norwegian industrial firms. Each of these projects deals with selected parts of the comprehensive problem area which, in its entirety, the program attempts to cover.     

Impact of environmental variables on spectral signatures acquired by the LANDSAT thematic mapper

Eleven environmental variables, elevation, slope angle, slope aspect, surface roughness, soil type, geology, percentage of vegetation, percentage of trees, percentage of shrubs, percentage of herbs, and percentage of bare ground, are evaluated as to their impact on LANDSAT thematic mapper (TM) spectral signatures. Multiple regression models indicate that a combination of percentage of trees and shrubs have the most significant impact on TM spectral response, and, in fact, mask the effects of other tested environmental variables. Regression models are also developed for major soil types which significantly predict the amount of trees and shrubs present on a site.     

泛系思维与应用：科学技术,方法论,创新与智能信息处理（Ⅱ）（下）

本文续前期论述泛系思维的框架和方法论、创新运筹与智能信息处理问题,简化强化地介绍了几十种泛系理法及其应用,具体内容包括：泛系思维简式、泛系原则、泛系螺旋、显生原则、系统原则,广义系统、局整关系、分析与综合、整体性、结构与功能、遗憾原则、况分三故、等价原则、竞标律、层标模型、简休５０计、转化原则、泛系数学建模总体转化模式、泛对称普适原则、广义量化、泛积原理、模糊控制、故障诊断的专家系统、数学建模三范     

无线便携式LED屏控制终端设计

随着社会经济快速发展,金融市场、交通港口、体育场馆等领域的信息提示大多采用LED屏显示,LED屏的显示控制已成为当前研究的热点。但是,采用传统的控制方式存在系统开机、开屏较繁杂、线路架设复杂、更新信息不稳定、显示内容单易被篡改等问题。针对这一现状,设计完成了一款无线便携式控制终端,可以实现在200米范围内控制LED屏内容的更新,显示信息安全稳定、终端成本低、体积小、携带方便、操作更加灵活便捷。     

伦理智能体及其设计:现状和展望

智能体一直是人工智能的主要研究领域之一,任何独立的能够同环境交互并自主决策的实体都可以抽象为智能体.随着人工智能从计算智能到感知智能,再到认知智能的发展,智能体已逐步渗透到无人驾驶、服务机器人、智能家居、智慧医疗、战争武器等人类生活密切相关的领域.这些应用中,智能体与环境、尤其是与人类和社会的交互愈来愈突出,其中的伦理...     

Inverse Length Biased Maxwell Distribution: Statistical Inference with an Application

In this paper, we suggested and studied the inverse length biased Maxell distribution (ILBMD) as a new continuous distribution of one parameter. The ILBMD is obtained by considering the inverse transformation technique of the Maxwell length biased distribution. Statistical characteristics of the ILBMD such as the moments, moment generating function, mode, quantile function, the coefficient of variation, coefficient of skewness, Moors and Bowley measures of kurtosis and skewness , stochastic ordering, stress-strength reliability, and mean deviations are obtained. In addition, the Bonferroni and Lorenz curves, Gini index, the reliability function, the hazard rate function, the reverse hazard rate function, the odds function, and the distributions of order statistics for the ILBMD, are presented. The ILBMD parameter is estimated using the maximum likelihood method, the method of moments, the maximum product of spacing technique, the ordinary and weight least square procedures, and the Cramer-Von-Mises methods. The Fishers information, as well as the Rényi and q-entropies, are derived. To investigate the usefulness of the proposed lifetime distribution and to illustrate the purpose of the study, a real dataset of the relief times of 20 patients receiving an analgesic is used.     

基于区块链技术的公共卫生管理模式创新研究

针对当前在公共卫生管理领域的存在的医疗资源配置不均衡、医疗项目资金管理不规范、物资追溯系统不健全、指挥决策系统尚未实现全国互联互通和信息共享等问题,结合区块链技术具有去中心化、不可篡改、交易透明、可追溯性、匿名性、自治性的特征,提出了区块链推进药品、食品防伪溯源,区块链推进医疗资源管理与调控,区块链推进公共卫生政务公开,区块链推进公共卫生数据共建共享,区块链推进公共卫生事件危机管理等应用前景。分析了区块链技术应用需要解决的诸多问题:核心技术的攻关、政府部门的协调、参与方的协作、基础设施的建设、专业人才的培养和机制体系的建立。     

句法复杂网络作为语体分类的知识源研究

基于6种语体的句法树库构建了6个依存句法网络,对这些网络的边数、节点数、节点平均度、聚类系数、平均最短路径长度、网络中心势、直径、节点度幂律分布的幂指数、度分布与幂律拟合的决定系数等整体特征进行了对比分析。以这些整体特征为变量,采用欧几里德的“最短距离”法,对这6种语体的句法网络进行了聚类分析。研究结果显示,通过一些网络的主要参数,即网络节点数、聚集系数、平均路径长度、中心势以及节点度幂律分布的幂指数,可以对所研究的文本进行分类。与传统的文本聚类方法相比,其结果更容易从语言学的角度进行合理的解释。     

运用多媒体教学减轻学生语文学习负担

随着教育改革的不断深入,推进素质教育,最大限度地提高课堂效率,减轻学生负担,成为摆在我们每一个教育工作者面前的重要问题。要减轻学生负担,首先要提高课堂效率。研究资料表明:同一时间内,人们从听觉获得的知识只能掌握百分之十五,从视觉获得的知识只能掌握百分之二十五,而视听结合接受的知识则能掌握百分之六十五。因此要合理的运用多媒体教学,通过多媒体生动、形象的音、形、色把记录语言的符号变为生动逼真的画面和富有感染力的声音一一再现出来,让学生通过视觉、听觉等感官直接感知具体的教学内容,调动他们的思维,激发他们的想象。这样多媒体教学将音乐、美术、语文等各学科集于一身,同时作用于人们的多种感官,有利于调动学生的积极性和主动性,让学生乐于动脑、动口、动手探究新知,同时也可以改变以往的枯燥单一的只是依靠板书和重复讲解造成的高耗低效课堂——时间无效浪费、学生课堂练习少,无实践无操作,课后作业重,无效果。     

语义区块链研究综述

区块链因具有去中心化、不可窜改、可追溯、集体维护、可编程和安全可信等特点,已应用于金融、物联网、供应链与物流链管理、数字资源版权管理等行业,但因缺乏链间互操作、无法索引查询等问题,极大制约了它的深入应用.语义Web技术和区块链技术融合产生的语义区块链技术,有望解决这些相关问题.为方便研究者系统地了解语义区块链的研究现状和发展趋势,对语义区块链技术进行了综述.首先,分析了区块链对语义Web技术的需求、语义区块链的优点;然后,分析和总结了语义区块链的研究和应用现状,包括区块链本体的设计、区块链数据的语义描述、语义数据的存储、智能合约的语义化、语义区块链的相关应用;最后,对语义区块链的主要研究方向进行了展望.