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。     

基于RFID的供港蔬菜安全监管溯源系统

为保障供港蔬菜的安全,提高供港蔬菜的安全监管能力,本文从检验检疫部门监管工作实际出发,提出了基于射频识别技术的供港蔬菜安全监管溯源系统．首先介绍了RFID技术及其主要功能,通过检验检疫角度提出供港蔬菜的业务框架结构、技术框架结构和安全保障体系结构,在此基础上设计溯源系统种植基地、加工厂、口岸和超市四个点的功能需求,并规定了溯源系统与RFID的接口标准．实践证明,该系统能够实现供港蔬菜流转中的每一管理节点的上下游追溯,实现管理者对蔬菜从原料、生产、运输到销售全过程的了解和把握,使企业的生产、仓储、通关、配送过程更加便捷,全面保证了蔬菜集装箱在运输过程的完好性,满足了供港蔬菜的安全溯源监管体系需求．该系统对食品的安全监管、产品的伪劣甄别有着重要的启示作用和意义．     

氯乙烯精馏控制模式的分析及实践

在对氯乙烯精馏这个复杂生产过程工艺及控制的分析基础上,提出了低沸塔回流、低塔釜加热、中间过料、高塔回流、高塔釜加热、成品冷凝等回路的控制模型。并介绍了用开放的DCS进行的组态、调试过程。因其图形化组态工具的直观、灵活、功能强,使复杂的控制问题简单化,且控制对工况变化的适应性强。经生产实际运行表明,产品质量、生产能力均超过预期值。     

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.     

污水处理生化池曝气量的智能控制系统

针对国内大多数污水处理厂曝气量的分配、供应效果很不理想,溶解氧浓度控制滞后、精度低、波动大、能耗高以及直接影响处理效果。本文叙述了已成功开发并应用的污水处理生化池曝气量的智能控制系统。该系统能在水质水量不变时和变化时,采用串级、前馈、反馈控制和智能模型,保证曝气平衡,并根据阀门的开度大小,调节鼓风机的操作压力,达到节能的目的。本文对控制系统的设计思想、系统配置、控制算法、软件设计作了重点介绍,并给出了实际使用效果。     

基于计算机辅助的医学图像测量与控制方法研究

医学图像常规检查中,需要对目标图像进行测量以获取相关数据。测量主要集中在对距离,面积,角度以及周长等数据的获取。由于医学检测的严谨性,数据准确,方法简便是必不可少的要求。随着计算机技术的发展,其在医学中的应用也得到了广泛的推崇。计算机辅助的医学图像测量不但替代了传统的手工测量方式,也极大地提高了测量的精度与效率。分析医学图像测量算法,针对如何确定目标区域的问题设计了颜色填充的方法,可有效区分出目标区域图像。为了提高该算法的效率,进一步提出了其改进算法,降低了算法执行次数,提高了系统性能。     

变精度下不完备混合数据的增量式属性约简方法

为了解决当不完备混合决策系统中数据动态增加时,静态属性约简方法的计算复杂度高的问题,提出变精度下不完备混合数据的增量式属性约简方法。首先,在变精度模型下给出了利用条件熵度量属性的重要性程度;然后,详细分析和设计了当数据动态增加时条件熵的增量式更新变化情况和属性约简的更新机制;在此基础上,利用启发式贪心策略构造了增量式的属性约简算法,实现了不完备的数值型和符号型混合数据下属性约简的动态更新。通过UCI数据集中五个真实的混合型数据集的实验比较和分析,在约简效果方面,利用增量式属性约简算法处理Echocardiogram、Hepatitis、Autos、Credit和Dermatology数据集的增量规模为90%+10%时,数据集的原属性个数分别由12、19、25、17和34个约简至6、7、10、11和13个,分别占原属性集的50.0%、36.8%、40.0%、64.7%和38.2%;在执行时间方面,增量式算法在五个数据集的平均耗时分别为2.99 s、3.13 s、9.70 s、274.19 s和50.87 s,静态算法的平均耗时分别为284.92 s、302.76 s、1062.23 s、3510.79 s和667.85 s,且增量式算法的耗时与数据集的实例规模、属性个数和属性值类型的分布相关。实验结果表明,增量式属性约简算法在计算耗时方面要显著优于静态算法,且能有效剔除数据中的冗余属性。     

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。     

Construction method of shop-floor digital twin based on MBSE

Digital twin (DT) technology is essential for achieving the fusion of virtual-real cyber-physical systems. Academics and companies have made great strides in the theoretical research and case studies of constructing the shop-floor digital twin (SDT), which is the premise of applying DT technology on the shop floor. A shop floor is a large complex system that involves many elements including people, machines, materials, methods, and the environment and processes, such as the technical flow, business process, logistics, and control flow. However, most of the developed cases lack a hierarchical, structured and modularized implementation framework for the development of an SDT system, which leads to problems such as a low reuse rate of the system blocks, lack of scalability, and high upgrade and maintenance costs. In response to these issues, we propose a construction method of the DT for the shop floor based on model-based systems engineering from the perspective of the system. In this method, a comprehensive DT model for the shop floor is gradually constructed by using system modeling language, the modeling method “MagicGrid,” and the “V model” of systems engineering. The model includes four dimensions of the shop-floor requirements, structure, behavior, and parameters, as well as three stages (the problem domain, solution domain, and implementation domain), and connects nine steps of the “V model,” including the system requirements, system architecture, subsystem implementation, subsystem integration, and system verification. Then, based on an example of a real NC machining shop floor, subsystems including a visualization system, synchronization system, and simulation system, are discussed. Finally, the functions of the integrated systems are verified based on the requirements, including the real-time synchronization of “man, machine, material, and method” and the transient simulation in real time. The numerical indicators of the integrated system are verified, including the model completeness and synchronization timeliness.     

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。     

互联网冷思维

本文分析比较了农业时代、工业时代到互联网时代的不同特征,在此基础上,对互联网本质进行了深入思考,认为互联网有两个关键基因：一是互联网架构的无中心化,另一个是信息复制成本趋于零。在此基础上,延伸出了平等、开放、共享、免费的互联网精神。互联网精神在工业和金融业中的应用,已经彻底变革了工业经济时代形成的生产体系,但同时,互联网精神也带来了信息安全、金融监管等一系列挑战。最后,从树立产业发展正确思维观、不断整合产业链和深化产业链分工等角度,提出了思考与建议。     

基于区块链的边缘计算IIoT架构研究

在智能制造系统中,工业物联网通过先进的管理技术将制造设备互连,实现了信息的实时传输、设备的范在化感知和数据的快速分析处理。但是由于制造设备的异构性、物联网网关（IoT网关）数据分析能力的有限性、制造设备的存储力低下,设备和数据的低安全性等缺陷严重阻碍了智能制造的发展。BEIIoT架构从制造企业的实际生产过程与应用角度出发,将区块链技术与边缘计算相结合,通过对服务器进行P2P组网以实现对设备去中心化管理;通过对边缘设备进行服务化封装,增强设备的安全性与实时分析能力,降低设备的异构性;使用DAG双链式数据存储结构,提高数据的冗余度与安全性,实现生产线数据的异步并发备份存储。BEIIoT架构为智能制造的实施提供了体系支持。     

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。     

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     

关于网络安全新技术研究

目前,宽带网的普及,业界电子商务的开展,海量的网络信息,日趋丰富的网络功能使得“网上办公”条件已经成熟。随着我国电子政务的进一步发展,政府对企事业单位的管理将更多地从网络上进行,因此企业办公将不再局限于传统模式,而是将内部办公计算机通过局域网连接起来,形成信息化办公的群体效益,而企业内部网络搭上Internet互联网这个信息高速直通车后,使得信息交换传递更加快捷及时,现代办公已经发展到办公信息化的时代。然而随着信息化在我国的不断深入与发展,网络安全问题也日益成为我们关注的焦点。     

An integrated model for evaluating the amount of data required forreliable recognition

Many recognition procedures rely on the consistency of a subset of data features with a hypothesis as the sufficient evidence to the presence of the corresponding object. We analyze here the performance of such procedures, using a probabilistic model, and provide expressions for the sufficient size of such data subsets, that, if consistent, guarantee the validity of the hypotheses with arbitrary confidence. We focus on 2D objects and the affine transformation class, and provide, for the first time, an integrated model which takes into account the shape of the objects involved, the accuracy of the data collected, the clutter present in the scene, the class of the transformations involved, the accuracy of the localization, and the confidence we would like to have in our hypotheses. Increasingly, it turns out that most of these factors can be quantified cumulatively by one parameter, denoted “effective similarity”, which largely determines the sufficient subset size. The analysis is based on representing the class of instances corresponding to a model object and a group of transformations, as members of a metric space, and quantifying the variation of the instances by a metric cover     

Segmentation optimization simulation of water remote congestion image of the ship

In the process of segmenting water remote congestion image of the ship, due to interference of the external environment and the influence of the number of ships, the target is blocked, traditional methods for image segmentation region intersection, lead to target obscured, therefore, in this paper, a segmentation optimization method for water remote congestion image of the ship based on MCMC is proposed, through morphology denoising to preprocess water remote congestion image of the ship, and remove the noise of the image, ensure do not produce the global geometric distortion. Water remote ship congestion image field is divided into many disjoint areas, to give all states of the image, by using Bayesian method deduce the solution space of state, and setting up four classes of water remote ship congestion image model for four of the most frequent image regions appeared, the solution space structure is analyzed, and data driven method is used to classify the characteristics, according to the probability of each pixel eigenvector belonging to the cluster center to calculate the proposal probability, and transfer speed of Markov chain, establish ergodic Markov chain solution space, so as to achieve segmentation optimization of water remote ship congestion image. The simulation results show that the proposed method not only has the very high accuracy of image segmentation, also has complete segmentation result of target.     

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.     

遥感及部分相关学科SCI收录期刊介绍

以表格的形式介绍了SCIE收录的15种遥感类目期刊的英文刊名、中文刊名、出版国和最新影响因子,并将其中SCI收录的6种期刊进行了全面的揭示,包括英文刊名、汉译刊名、出版周期、原版刊号、最新影响因子、国际标准刊号、出版地、出版者、联系地址、最新期刊网址,期刊描述等全方位的期刊信息。期刊描述内容包括：期刊的创刊年以及期刊的发展,期刊刊载的主要内容,网站可免费获取的该刊目次和文摘及全文信息等。