Study on evaluation of International Science and Technology Cooperation Project (ISTCP) in China

This paper presents an overview of evaluation of ISTCP in China. We discuss briefly the history of evaluation and the strengths and weaknesses of different assessment systems. On this basis, with Analytical Hierarchy Process (AHP), we establish evaluation indicator system for ISTCP that includes research project establishment evaluation, mid-period evaluation system, effect evaluation system, and confirm the value of each indicator. At the same time, we established expert database, project database, research organization database, researcher database etc. We therefore establish an evaluation platform for international science and technology cooperation project. We use it to realize full process supervision from evaluation expert selection to project management

Study on evaluation of International Science and Technology Cooperation Project (ISTCP) in China

This paper presents an overview of evaluation of ISTCP in China. We discuss briefly the history of evaluation and the strengths and weaknesses of different assessment systems. On this basis, with Analytical Hierarchy Process (AHP), we establish evaluation indicator system for ISTCP that includes research project establishment evaluation, mid-period evaluation system, effect evaluation system, and confirm the value of each indicator. At the same time, we established expert database, project database, research organization database, researcher database etc. We therefore establish an evaluation platform for international science and technology cooperation project. We use it to realize full process supervision from evaluation expert selection to project management

Expert Systems in Service Operations

Despite previous work on expert systems in the manufacturing sector very few articles relate to a classification scheme for the application of Expert Systems (ES) in the service operations area. Based on a review of more than 200 abstracts from the ABI/INFORM database, seeks to provide a categorization of ES in the service sector and also to detail future needs in the application of this vital information technology in service operations. Enhances the manager's understanding of ES technology and provides a perspective on how ES have been used in service operations

Sistem Pakar Diagnosis Mesin Pengering Teh Di Wonosari Menggunakan Metode Forward Chaining

An expert system was developed in line with the information technology . Development of an expert system is intended as aids to provide solutions in our lives .. This expert system could help technicians in getting solutions quickly and can save time . Expert systems use computer technology to integrate , manipulate and display information or characteristics . Expert systems can also help in making a better solution. With the rapid advancement in technology today, emerged an idea to implement a program of expert system application into a computer technician service quality activities . The author tries to build an application that will help to facilitate in providing solutions damage the dryer Wonosari tea in tea gardens so as to facilitate the user or technician to get a solution quickly sehinnga reduce impact damage diimbulkan by damage to the dryer. The system created is " Diagnosis Expert System Design Issues in Computer Using Visual Basic " The system uses a method and prototype tool for modeling using UML ( Unified Modeling Language ) . The system is built using PHP and MySQL for database processing use . This system is useful for diagnosing damage to the dryer tea in tea garden wonosari

Application of expert system techniques for award implementation

This paper describes a pilot expert system project, PESWEA, developed in conjunction with The Western Australian Government Railways Commission (Westrail), to locate and implement an expert system pilot solution to the problems and complexities of the awards. The paper will outline the process used to develop and implement a solution to a business requirement. In particular, the methodologies for the project, shell selection, and knowledge acquisition will be presented and discussed. The fundamentals of expert systems will be discussed to provide the reader an insight into the technology. In addition, this paper reviews the literature relevant to the research questions. Empirical findings in the literature are discussed and analysed to discover how they influence the work in this paper. The topics covered include the concepts of expert system shell selection, knowledge acquisition and representation. and the integration of expert systems and database systems. A case study on a similar pilot system conducted by the State Electricity Commission of Victoria (SECV) is also reviewed. The PESWEA knowledge-bases were implemented with the 1st-Class HT expert system shell which succeeded in meeting the selection criteria for the first study in this project. The work carried out has also confirmed that the expert system techniques can be used to gather and interpret information from manual time- sheets which are subject to a complex arbitration award. Furthermore, PESWEA utilised the Inter-system Communication approach to systems interfacing, with the DataFlex database system dominating the concentration of processing and control. The technical and business objectives of PESWEA have been achieved with success. This study has confirmed SECV\u27s own research into the applicability of expert system techniques for award implementation. From this study, Westrail and Edith Cowan University believe that expert systems technology can now be integrated into the mainstream programming techniques at Westrail

ACE: An Expert System Supporting Analysis and Management Decision Making

ACE, a system for Automated Cable Expertise, is a Knowledge-Based Expert System designed to provide trouble-shooting reports and management analyses for telephone cable maintenance in a timely manner. Many design decisions faced during the construction of ACE were guided by recent successes in expert systems technology, most notably R1/XCON, the Digital Equipment Corporation Vax configuration program. The most significant departure from "standard" expert systems architectures is ACE's use of a conventional data base management system as its primary source of information. Its primary sources of knowledge are the expert users of the database system, and primers on maintenance analysis strategies. The coupling of "knowledge-base" and "data-base" demonstrates in a forceful way the manner in which an expert system can significantly enhance the throughput and quality of data processing environments supporting business management. However, further difficult problems must be solved before the expert system approach becomes a standard technique in the data processing industry

Are maintenance expert systems practical now?

This paper examines the question of whether Artificial Intelligence expert system technology can be effectively applied to real world maintenance problems. Expert maintenance systems Installed to date are reviewed and the ACE (Automated Cable Expertise) knowledge-based expert system presently marketed by AT&T is described in detail. ACE provides timely trouble-shooting reports and management analyses (or telephone cable maintenance). Many design decisions faced during the construction of ACE were guided by experience gained In the development of previous expert systems. The most significant departure from "standard" expert system architectures, however, is ACE's use of a conventional data base management system as its primary source of Information Its primary sources of knowledge are the expert maintenance personnel, who previously were users of the database system I and prImers on maintenance analysis strategy The coupling of "data base" and "knowledge-base" demonstrates In a forceful way the manner In which an expert system can significantly enhance the throughput and quality of automatic maintenance support systems. Based on the success of these maintenance expert systems, explosive growth of knowledge-based expert maintenance programs is predicted. Forthcoming maintenance expert systems will assist In the repair of high capital cost equipment, for which down time is expensive or unacceptable, or for which competent repair personnel are In short supply

Data-based Collaboration on a Grand Scale

Modern spatial planning strongly relies on computer systems such as Computer-Aided Design tools (CAD) and Geographic Information Systems (GIS). These, in turn, depend upon Database Management Systems: complex computer systems designed to optimize data storage and retrieval. In this paper we try to sketch a short survey of current DBMS technologies for the non-expert by overviewing their history, targets, strengths, and weaknesses. The goal is to make the spatial planning community more aware of the present and developing technologies such that future projects started can take advantage of the most suitable technology

TLAD 2011 Proceedings:9th international workshop on teaching, learning and assesment of databases (TLAD)

This is the ninth in the series of highly successful international workshops on the Teaching, Learning and Assessment of Databases (TLAD 2011), which once again is held as a workshop of BNCOD 2011 - the 28th British National Conference on Databases. TLAD 2011 is held on the 11th July at Manchester University, just before BNCOD, and hopes to be just as successful as its predecessors.The teaching of databases is central to all Computing Science, Software Engineering, Information Systems and Information Technology courses, and this year, the workshop aims to continue the tradition of bringing together both database teachers and researchers, in order to share good learning, teaching and assessment practice and experience, and further the growing community amongst database academics. As well as attracting academics from the UK community, the workshop has also been successful in attracting academics from the wider international community, through serving on the programme committee, and attending and presenting papers.Due to the healthy number of high quality submissions this year, the workshop will present eight peer reviewed papers. Of these, six will be presented as full papers and two as short papers. These papers cover a number of themes, including: the teaching of data mining and data warehousing, databases and the cloud, and novel uses of technology in teaching and assessment. It is expected that these papers will stimulate discussion at the workshop itself and beyond. This year, the focus on providing a forum for discussion is enhanced through a panel discussion on assessment in database modules, with David Nelson (of the University of Sunderland), Al Monger (of Southampton Solent University) and Charles Boisvert (of Sheffield Hallam University) as the expert panel

TLAD 2011 Proceedings:9th international workshop on teaching, learning and assesment of databases (TLAD)

This is the ninth in the series of highly successful international workshops on the Teaching, Learning and Assessment of Databases (TLAD 2011), which once again is held as a workshop of BNCOD 2011 - the 28th British National Conference on Databases. TLAD 2011 is held on the 11th July at Manchester University, just before BNCOD, and hopes to be just as successful as its predecessors.The teaching of databases is central to all Computing Science, Software Engineering, Information Systems and Information Technology courses, and this year, the workshop aims to continue the tradition of bringing together both database teachers and researchers, in order to share good learning, teaching and assessment practice and experience, and further the growing community amongst database academics. As well as attracting academics from the UK community, the workshop has also been successful in attracting academics from the wider international community, through serving on the programme committee, and attending and presenting papers.Due to the healthy number of high quality submissions this year, the workshop will present eight peer reviewed papers. Of these, six will be presented as full papers and two as short papers. These papers cover a number of themes, including: the teaching of data mining and data warehousing, databases and the cloud, and novel uses of technology in teaching and assessment. It is expected that these papers will stimulate discussion at the workshop itself and beyond. This year, the focus on providing a forum for discussion is enhanced through a panel discussion on assessment in database modules, with David Nelson (of the University of Sunderland), Al Monger (of Southampton Solent University) and Charles Boisvert (of Sheffield Hallam University) as the expert panel