PERFORMANCE-BASED INTELLIGENT RESOURCE DESCRIPTION MODEL FOR INTERNET-BASED PRODUCT DESIGN

Issues on intelligent resource description and multiple intelligent resources integration for lntemet based collaborative design are analyzed. A performance-based intelligent resource description model for lnternet-based product design is proposed, which can help to create, store, manipulate and exchange intelligent resource description information for applications, tools and systems in Interact-based product design. A method to integrate multiple intelligent resources to fulfill a complex product design and analysis via lntemet is also proposed. A real project for improving the bearing system design of a turbo-expander with many intelligent resources in prominent universities is presented as a case study.

Call for Papers Special Issue on Language, Knowledge, and Social Intelligence

Tsinghua Science and Technology started publication in 1996.It is an international bimonthly academic journal sponsored by Tsinghua University,and aims at presenting state-of-the-art scientific achievements in computer science and other IT fields.It enters into IEEE Xplore Digital Library from 2012,and adopts the open access mode in 2013.In 2015,Tsinghua Science and Technology is indexed in the Science Citation Index Expanded.

MULTI-AGENT COMPUTER AIDED ASSEMBLY PROCESS PLANNING SYSTEM FOR SHIP HULL

A multi agent computer aided assembly process planning system (MCAAPP) for ship hull is presented. The system includes system framework, global facilitator, the macro agent structure, agent communication language, agent oriented programming language, knowledge representation and reasoning strategy. The system can produce the technological file and technological quota, which can satisfy the production needs of factory.

Research on Intelligent Organization and Application of Multi-source Heterogeneous Knowledge Resources for Energy Internet

To improve the informationization and intelligence of the energy Internet industry and enhance the capability of knowledge services,it is necessary to organize the energy Internet body of knowledge from existing knowledge resources of the State Grid,which have the characteristics of large scale,multiple sources,and heterogeneity.At the same time,the business fields of State Grid cover a wide range.There are many sub-fields under each business field,and the relationship between fields is diverse and complex.The key to establishing the energy Internet body of knowledge is how to fuse the heterogeneous knowledge resources from multiple sources,extract the knowledge contents from them,and organize the different relationships.This paper considers transforming the original knowledge resources of State Grid into a unified and wellorganized knowledge system described in OWL language to meet the requirements of heterogeneous resource integration,multi-source resource organization,and knowledge service provision.For the State Grid knowledge resources mainly in XML format,this paper proposes a Knowledge Automatic Fusion and Organization idea and method based on XSD Directed Graph.According to the method,the XML corresponding XSD documents are transformed into a directed graph in the first stage during which the graph neural network detects hidden knowledge inside the structure to add semantic information to the graph.In the second stage,for other structured knowledge resources(e.g.,databases,spreadsheets),the knowledge contents and the relationships are analyzed manually to establish the mappings from structured resources to graph structures,using which the original knowledge resources are transformed into graph structures,and merged with the directed graphs obtained in the first stage to achieve the fusion of heterogeneous knowledge resources.And expert knowledge is introduced for heterogeneous knowledge fusion to further extend the directed graph.And in the third stage,the expanded directed graph is converted to the body of knowledge in the form of OWL.This paper takes the knowledge resources in the field of human resources of the State Grid as an example,to establish the ontology of the human resources training field in a unified manner,initially demonstrating the effectiveness of the proposed method.

A Model-Based, Aspiration-Led Decision Support System NY-IEDSS

An AI-aided simulation system embedded in a model-based, aspiration-led decision support system NY-IEDSS is reported. The NY-IEDSS is designed for mid-term development strategic study of the Nanyang Region in Henan, China, and is getting beyond its prototype stage under the decision maker's (the end user) orientation. The integration of simulation model system, decision analysis and expert system for decision support in the system implementation was reviewed. The intent of the paper is to provide insight as to how system capability and acceptability can be enhanced by this integration. Moreover, emphasis is placed on problem orientation in applying the method.

New technology foresight method based on intelligent knowledge management

The increasing importance of technology foresight has simultaneously raised the significance of methods that determine crucial areas and technologies.However,qualitative and quantitative methods have shortcomings.The former involve high costs and many limitations,while the latter lack expert experience.Intelligent knowledge management emphasizes human–machine integration,which combines the advantages of expert experience and data mining.Thus,we proposed a new technology foresight method based on intelligent knowledge management.This method constructs a technological online platform to increase the number of participating experts.A secondary mining is performed on the results of patent analysis and bibliometrics.Thus,forward-looking,innovative,and disruptive areas and relevant experts must be discovered through the following comprehensive process:Topic acquisition→topic delivery→topic monitoring→topic guidance→topic reclamation→topic sorting→topic evolution→topic conforming→expert recommendation.

Challenges to Engineering Management in the Big Data Era

This paper presents a review of the challenges to engineering management in the Big Data Era as well as the Big Data applications. First, it outlines the definitions of big data, data science and intelligent knowledge and the history of big data. Second, the paper reviews the academic activities about big data in China. Then, it elaborates a number of challenging big data problems, including transforming semi-structured and non-structured data into"structured format" and explores the relationship of data heterogeneity, knowledge heterogeneity and decision heterogeneity. Furthermore, the paper reports various real-life applications of big data, such as financial and petroleum engineering and internet business.