This work aims to implement expert and collaborative group recommendation services through an analysis of expertise and network relations NTIS. First of all, expertise database has been constructed by extracting keywo...This work aims to implement expert and collaborative group recommendation services through an analysis of expertise and network relations NTIS. First of all, expertise database has been constructed by extracting keywords after indexing national R＆D information in Korea （human resources, project and outcome） and applying expertise calculation algorithm. In consideration of the characteristics of national R＆D information, weight values have been selected. Then, expertise points were calculated by applying weighted values. In addition, joint research and collaborative relations were implemented in a knowledge map format through network analysis using national R＆D information.展开更多
The paper sought to explore issues of access, equity, and quality in the early childhood development （ECD） sub-sector in Zimbabwe. The massive expansion of ECD services prompted the author to undertake the study. Da...The paper sought to explore issues of access, equity, and quality in the early childhood development （ECD） sub-sector in Zimbabwe. The massive expansion of ECD services prompted the author to undertake the study. Data were collected using focus group discussions, individual interviews, document analysis, and observations. Information from literature, research reports, policies, and practices was also analyzed in order to establish the state of affairs in the provision of ECD. The data were analyzed using theme identification methods to solicit emerging issues. Generally, it was found that on issues of access, equity, and quality in ECD in Zimbabwe, there is a quality-quantity dilemma with qualitative progress less conspicuous than quantitative progress. The resultant specific challenges include： large teacher-child ratio; lack of parental involvement, lack of trained ECD specialists with expertise in using a play-based curriculum; and shortage of equipment, material resources, and age appropriate infrastructure. In most ECD settings, there were inadequate health and nutrition provisions. Water, sanitation and health （WASH） facilities were found to be insufficient in most centres. The study recommended that there is need for： equal access to quality early childhood education; provision of infrastructure, provision of ability and age appropriate resources; and health, sanitation, and nutrition services especially in rural settings. Overall, ECD programmes in Zimbabwe should strive to attain quality more than quantity services. The need to train more early childhood specialists who would drive the ECD sub-sector is emphasized.展开更多
Fault recognition and coal seam thickness forecast are important problems in mineral resource prediction. Knowledge of multiple disciplines, which include mining engineering, mine geology, seismic prospecting etc, was...Fault recognition and coal seam thickness forecast are important problems in mineral resource prediction. Knowledge of multiple disciplines, which include mining engineering, mine geology, seismic prospecting etc, was used synthetically. Artificial neural network was combined with genetic algorithm to found integrated AI method of genetic algorithm artificial neural network(GA ANN). Fault recognition and coal seam thickness forecast were carried to completion by case studies. And the research results are satisfactory.展开更多
The development of the assistive abilities regarding the decision-making process o fan Intelligent Control System （ICS） like a fuzzy expert system implies the development of its functionality and its ability of spec...The development of the assistive abilities regarding the decision-making process o fan Intelligent Control System （ICS） like a fuzzy expert system implies the development of its functionality and its ability of specification. Fuzzy expert systems can model fuzzy controllers, i.e., the knowledge representation and the abilities of making decisions corresponding to fuzzy expert systems are much more complicated that in the case of standard fuzzy controllers. The expert system acts also as a supervisor, creating meta-level reasoning on a set of fuzzy controllers, in order to choose the best one for the management of the process. Knowledge Management Systems （KMSs） is a new development paradigm of Intelligent Systems which has resulted from a synergy between fuzzy sets, artificial neural networks, evolutionary computation, machine learning, etc., broadening computer science, physics, economics, engineering, mathematics. This paper presents, after a synergic new paradigm of intelligent systems, as a practical case study the fuzzy and temporal properties of knowledge formalism embedded in an ICS. We are not dealing high with level reasoning methods, because we think that real-time problems can only be solved by rather low-level reasoning. Solving the match-time predictability problem would allow us to build much more powerful reasoning techniques.展开更多
基金Project(N-12-NM-LU01-C01) supported by Construction of NTIS (National Science & Technology Information Service) Program Funded by the National Science & Technology Commission (NSTC), Korea
文摘This work aims to implement expert and collaborative group recommendation services through an analysis of expertise and network relations NTIS. First of all, expertise database has been constructed by extracting keywords after indexing national R＆D information in Korea （human resources, project and outcome） and applying expertise calculation algorithm. In consideration of the characteristics of national R＆D information, weight values have been selected. Then, expertise points were calculated by applying weighted values. In addition, joint research and collaborative relations were implemented in a knowledge map format through network analysis using national R＆D information.
文摘The paper sought to explore issues of access, equity, and quality in the early childhood development （ECD） sub-sector in Zimbabwe. The massive expansion of ECD services prompted the author to undertake the study. Data were collected using focus group discussions, individual interviews, document analysis, and observations. Information from literature, research reports, policies, and practices was also analyzed in order to establish the state of affairs in the provision of ECD. The data were analyzed using theme identification methods to solicit emerging issues. Generally, it was found that on issues of access, equity, and quality in ECD in Zimbabwe, there is a quality-quantity dilemma with qualitative progress less conspicuous than quantitative progress. The resultant specific challenges include： large teacher-child ratio; lack of parental involvement, lack of trained ECD specialists with expertise in using a play-based curriculum; and shortage of equipment, material resources, and age appropriate infrastructure. In most ECD settings, there were inadequate health and nutrition provisions. Water, sanitation and health （WASH） facilities were found to be insufficient in most centres. The study recommended that there is need for： equal access to quality early childhood education; provision of infrastructure, provision of ability and age appropriate resources; and health, sanitation, and nutrition services especially in rural settings. Overall, ECD programmes in Zimbabwe should strive to attain quality more than quantity services. The need to train more early childhood specialists who would drive the ECD sub-sector is emphasized.
基金National Natural Science Foundation of China(5 97740 0 5 )
文摘Fault recognition and coal seam thickness forecast are important problems in mineral resource prediction. Knowledge of multiple disciplines, which include mining engineering, mine geology, seismic prospecting etc, was used synthetically. Artificial neural network was combined with genetic algorithm to found integrated AI method of genetic algorithm artificial neural network(GA ANN). Fault recognition and coal seam thickness forecast were carried to completion by case studies. And the research results are satisfactory.
文摘The development of the assistive abilities regarding the decision-making process o fan Intelligent Control System （ICS） like a fuzzy expert system implies the development of its functionality and its ability of specification. Fuzzy expert systems can model fuzzy controllers, i.e., the knowledge representation and the abilities of making decisions corresponding to fuzzy expert systems are much more complicated that in the case of standard fuzzy controllers. The expert system acts also as a supervisor, creating meta-level reasoning on a set of fuzzy controllers, in order to choose the best one for the management of the process. Knowledge Management Systems （KMSs） is a new development paradigm of Intelligent Systems which has resulted from a synergy between fuzzy sets, artificial neural networks, evolutionary computation, machine learning, etc., broadening computer science, physics, economics, engineering, mathematics. This paper presents, after a synergic new paradigm of intelligent systems, as a practical case study the fuzzy and temporal properties of knowledge formalism embedded in an ICS. We are not dealing high with level reasoning methods, because we think that real-time problems can only be solved by rather low-level reasoning. Solving the match-time predictability problem would allow us to build much more powerful reasoning techniques.
