Data Mining Ontology Development for High User Usability

This paper mainly introduces the development and implementation of the user centered data mining service ontology on Universal Knowledge Grid （UKG）. UKG is an ontology-based grid architecture model to build large-scale distributed knowledge discovery system on the grid. The data mining ontology services are the main service offering by UKG. It can meet the user requirements of knowledge discovery in different domains and different hierarchies and make the system exoteric, extensible and high usable. A data min- ing solution for money laundering is introduced.     

Ontology-based Knowledge Extraction from Hidden Web

Hidden Web provides groat amount of domain-specific data for constructing knowledge services. Most previous knowledge extraction researches ignore the valuable data hidden in Web database, and related works do not refer how to make extracted information available for knowledge system. This paper describes a novel approach to build a domain-specific knowledge service with the data retrievedfrom Hidden Web, Ontology serves to model the domain knowledge. Queries forms of different Web sites aretranslated into machine-understandable format, defined knowledge concepts, so that they can be accessed automatically. Also knowledge data are extracted from Web pages and organized in ontology format knowledge. The experiment proves the algorithm achieves high accuracy and the system facilitates constructing knowledge services greatly.     

Four basic laws in design science

A point on the distinction between design and science is given and the connotanons of aeslgn science are discussed in the paper. Design should be understood as the first step of all human＇ s purposeful activity, which is a daily behavior for everyone. Four laws are summarized, which describe the basic patterns of design and are the constituents of design science. They are the law of design based on existed knowledge, law of in- completeness of design knowledge, law of design centered on new knowledge acquirement and law of competi- tiveness of design knowledge. The four basic laws show the knowledge essence of design. To enrich the existed knowledge, to make it convenient to be used, to teach designers with high intuition and inspiration in picking useful elements of existed knowledge and shaping competitive ideas and to have strong new knowledge acquire- ment facility are the basic conditions of good designs. Study of design science will promote the structure of tra- ditional engineering education. An important conclusion is derived that there will be no successful innovation without good design.     

An Intrusion Alarming System Based on Self-Similarity of Network Traffic

Intrusion detection system can make effective alarm for illegality of network users, which is absolutely necessarily and important to build security environment of communication base service. According to the principle that the number of network traffic can affect the degree of self-similar traffic, the paper investigates the variety of self-similarity resulted from unconventional network traffic. A network traffic model based on normal behaviors of user is proposed and the Hurst parameter of this model can be calculated. By comparing the Hurst parameter of normal traffic and the self-similar parameter, we can judge whether the network is normal or not and alarm in time.     

Survivability of components assembly in architecture

Based on the in-depth analysis of the interaction patterns between the components of software system in architecture, this paper illustrates that the association among them is complex and usually changeable during the running period. So we assume the interactions between two adjacency components are grouped into a single connector, which can be used to analyze the influence of components assembly on the survivability for software architecture. The survivability of the components assembly is mapped into the connectivity of graph model. We also bring forward a simplicity method to calculate and quantify the survivability of architecture that could provide a more usable model for designers to evaluate the architecture.     

Fault-Tolerant Mechanism of the Distributed Cluster Computers

The distributed system with high performance and stability is commonly adopted in large scale scientific and engineering computing. In this paper, we discuss a fault-tolerant mechanism under Linux circumstance to improve the fault-tolerant ability of the system, namely a scheme and frame to form the stable computing platform. In terms of the structure and function of the distributed system, active list and file invocation strategies are employed in the task management. System multilevel fault-tolerance can be achieved by repeated processes in a single node and task migration on multi-nodes. Manager node agent introduced in this paper administrates the nodes using the list, disposes of the tasks according to the nodes' performance, and hence, to be able to make full use of the cluster resources. An evaluation method is proposed to appraise the performance. The analyzed results show the usefulness of the scheme proposed except for some additional overhead of memory consumption.     

A data model for regions with indeterminate boundaries

Most of spatial phenomena like natural vegetation units and land use areas constantly change over time and have uncertainty spatial extents. Till now,a considerable number of data models have been proposed for spatial objects with sharp boundaries as well as with indeterminate boundaries. However,they mainly concern space and time or space and fuzziness and not yet integrate them into a single unified framework. This paper introduces a formal definition of the conceptual fuzzy spatiotemporal data model,called FSTDM for fuzzy regions based on fuzzy set theory. We also contribute a method of manipulating queries with the presence of both temporal predicate and fuzzy spatial predicate in the condition clause efficiently. We then implement a prototype system. Through the experimental results,we prove that our work can be used to build a specialized system such as GIS,spatial database,and so on.     

Experimental measurements and theoretical calculations of the atomic structure of materials with subangstrom resolution and picometer precision

Lattice defects are unavoidable structural units in materials and play an important role in determining material properties. Compared with the periodic structure of crystals, the atomic configurations of the lattice defects are determined by the coordinates of a large number of atoms, making it difficult to experimentally investigate them. In computational materials science, multiparameter optimization is also a difficult problem and experimental verification is usually required to determine the possibility of obtaining the structure and properties predicted by cal- culations. Using our recent studies on oxide surfaces as examples, we introduce the method of integrated aberra- tion-corrected electron microscopy and the first-principles calculations to analyze the atomic structure of lattice defects. The atomic configurations of defects were mea- sured using quantitative high-resolution electron micros- copy at subangstrom resolution and picometer precision, and then the electronic structure and dynamic behavior of materials can be studied at the atomic scale using the first- principles calculations. The two methods complement each other and can be combined to increase the understanding of the atomic structure of materials in both the time and space dimensions, which will benefit materials design at the atomic scale.     

Towards a Cost-Efcient MapReduce: Mitigating Power Peaks for HadoopClusters简

Distributed data processing system is becoming one of the most important components for data-intensive computational tasks in the enterprise software infrastructure. Deploying and operating such systems require large amount of costs, including hardware costs to build clusters and energy costs to run clusters. To make these systems sustainable and scalable, power management has been an important research problem. In this paper, we take Hadoop as an example to illustrate the power peak problem which causes power inefficiency and provides in-depth analysis to explain issues with existing system designs. We propose a novel power capping module in the Hadoop scheduler to mitigate power peaks. Extensive simulation studies show that our proposed solution can effectively smooth the power consumption curve and mitigate temporary power peaks for Hadoop clusters.     

A molecular cryptography model based on structures of DNA self-assembly

With the progress of DNA computing, DNA- based cryptography becomes an emerging interdisciplinary research field. In this paper, we present a novel DNA cryptography that takes advantage of DNA self assembled structure. Making use of the toehold strands recognition and strand displacement, the bit-wise exclusive-or （XOR） operation is carried out to fulfill the information encryption and decryption in the form of a one-time-pad. The security of this system mainly comes from the physical isolation and specificity of DNA molecules. The system is con- structed by using complex DNA self-assembly, in which technique of fluorescent detection is utilized to implement the signal processing. In the proposed DNA cryptography, the XOR operation at each bit is carried out individually, thus the encryption and decryption process could be con- ducted in a massive, parallel way. This work may dem- onstrate that DNA cryptography has the great potential applications in the field of inRwmation security.     

关于“知识”使用价值的经济学思考

面对知识时代,必须客观的、实事求是的评价“知识”的使用价值,既不能低估和忽视知识在社会经济发展中的巨大作用,也不可为赶“知识经济”的时髦而无限夸大知识的作用甚至将知识神化。在知识经济时代,理论家的重要任务不是去构建一个脱离客观事实的知识价值论体系,而是努力研究怎样发挥知识劳动的主体－人力资本的作用问题,研究如何通过知识劳动把现有的知识最大限度地转化为生产力的问题。     

基于知识地图的数字教育资源服务模式研究

针对数字教育资源服务在资源组织和管理方面的不足,设计了基于知识地图的数字教育资源服务模式,该数字教育资源服务模式以知识点为单位建立信息窗口,对数字教育资源归类聚合,设计了结构清晰的知识网络.后以"HTML课程"为例,依托Visual Studio开发环境,利用Google Maps API构建知识地图,实现了数字教育资源服务模式,并选取在校大学生为试验者,进行了模式的试验与分析.研究表明,基于知识地图的数字教育资源服务模式能为学习者提供明确的学习引导,能够提高数字教育资源的有效利用率和学习者的学习效率,对于学习者在线学习的持久度、知识内化等方面具有较好的促进作用.     

ICAI 系统结构

计算机辅助教学（ＣＡＩ）是指用计算机帮助或代替教师完成部分教学任务的一种应用形式,将人工智能技术与ＣＡＩ相结合可以克服传统ＣＡＩ的许多弱点,改善教学效果,提高学习效率。文章提出一个智能计算机辅助教学（ＩＣＡＩ）系统结构,并对其主要组成部分的功能和相互之间的关系,及其中的知识库结构进行了讨论。     

利用网络实施“大学生党的基本知识教育工程”的方法探讨

网络因其具有的巨大优势而在实施大学生党的基本知识教育中发挥着重要作用。但要真正发挥网络的功能,必须研究并实践利用实施大学生党的基本知识教育的方法,即开发网络视频资源的作用、建立网络党校和构建网络教育新模式等。而要切实实现顺利使用这些方法的目的,又必须突出师资队伍建设这个基础和保障。     

支持产品创新的协同开发平台研究与实现

为提高企业产品创新能力，提出了知识驱动协同创新的产品开发理念。通过创成和吸纳两种方法实现产品协同创新开发，创成法采用知识驱动产品创新，表现在原理、结构或组合方式上的创新；吸纳法采用基于实例的产品变型设计方法，设计出较新颖的产品。构建支持产品协同创新开发的异地设计和资源共享平台，并研制其原型系统。平缝机开发应用表明，协同创新能够有效地利用企业已有的知识资源创造有竞争力的产品；在基于知识的工程环境中构建的原型系统具有可操作性和实用价值，     

知识经济与人才培养开发

从知识经济入手，阐述了知识经济与高等教育是相互促进和紧密相关的。结合知识经济，重点论述科学技术的竞争主要是人才的竞争，而人才与开展是最关键的问题，要把教育作为国之本，就要注意人培养的多方式，重新认识育人模式，对育人机制提出多方面的要求。     

论高校体育教育中育人的条件和方法

从心理学角度分析了体育教育育人的特点，进而提出了高校体育教育中育人的条件，揭示了育人方法，即寓思想教育于知识性教育之中；热爱、理解学生，创设良好情感体验的教育情境；运用竞争机制，激发拼搏精神，培养进取意识；身体美和心灵美日臻完善、和谐统一；为人师表，潜移默化。     

An ontology reasoning architecture for data mining knowledge management

In order to realize the intelligent management of data mining （DM） domain knowledge, this paper presents an architecture for DM knowledge management based on ontology. Using ontology database, this architecture can realize intelligent knowledge retrieval and automatic accomplishment of DM tasks by means of ontology services. Its key features include：①Describing DM ontology and meta-data using ontology based on Web ontology language （OWL）.② Ontology reasoning function. Based on the existing concepts and relations, the hidden knowledge in ontology can be obtained using the reasoning engine. This paper mainly focuses on the construction of DM ontology and the reasoning of DM ontology based on OWL DL（s）.     

知识系统工程:知识管理的新学科

建议创建知识系统工程这一新学科 ,处理知识管理问题 .对知识系统的组成、结构、功能、特点进行了分析 .为了建立学科框架 ,提出了知识系统的组织、人员、技术、经营、文化体系结构 .对知识系统的工作过程进行了系统分析     

知识化制造系统的知识网数据库设计

首先分析了KMS自重构中的数据操作过程 ,设计了知识网E R图 .在此基础上 ,通过设计先进制造模式与知识网之间映射关系表实现两者之间一对一的映射 .通过设计知识网公共属性表、知识点间继承流和信息流表、知识点功能描述表和虚拟Agent表 ,实现知识网的面向关系数据库的表示 .通过设计知识点功能的资源约束、父知识点功能与子知识点功能之间的约束和功能与信息流之间的约束等 3个基表 ,评判知识网的有效性与合理性 .然后根据KMS的特点与数据库表的逻辑设计给出了数据库的物理实现 .该知识网数据库已作为KMS自重构工具的一个重要组成部分并已成功运行 .