Structural redundancy elimination in case resource pools （CRP） is critical for avoiding performance bottlenecks and maintaining robust decision capabilities in cloud computing services. For these purposes, this pape...Structural redundancy elimination in case resource pools （CRP） is critical for avoiding performance bottlenecks and maintaining robust decision capabilities in cloud computing services. For these purposes, this paper proposes a novel approach to ensure redundancy elimination of a reasoning system in CRP. By using α entropy and mutual information, functional measures to eliminate redundancy of a system are developed with respect to a set of outputs. These measures help to distinguish both the optimal feature and the relations among the nodes in reasoning networks from the redundant ones with the elimination criterion. Based on the optimal feature and its harmonic weight, a model for knowledge reasoning in CRP （CRPKR） is built to complete the task of query matching, and the missing values are estimated with Bayesian networks. Moreover, the robustness of decisions is verified through parameter analyses. This approach is validated by the simulation with benchmark data sets using cloud SQL. Compared with several state-of-the-art techniques, the results show that the proposed approach has a good performance and boosts the robustness of decisions.展开更多
1 Introduction Shale formations bear abundant mineral resource and*unconventional petroleum resource,and the unconventional petroleum resource that contain in the shale formation should be integrated and researched.
This research aims to construct a case resource library for programming course,which can be used for either teachers’teaching or students’learning.The cases cannot be simply piled up but rather require a systematic ...This research aims to construct a case resource library for programming course,which can be used for either teachers’teaching or students’learning.The cases cannot be simply piled up but rather require a systematic planning.The solution to this is to design a case system model.The outcome-based education(OBE)concept is adopted to guide the research,and a three-dimensional case system model matching the course objectives is designed.Under the guidance of the model,the case resource library construction is more planned.Cases based on the model can provide all-round support for the cultivation of students’ability by gradually promoting knowledge and technology,frequently exercising one’s abilities,as well as expanding diverse and innovative problems.展开更多
基金supported by the National Natural Science Foundation of China (7117114371201087)+1 种基金the Tianjin Municipal Research Program of Application Foundation and Advanced Technology of China (10JCY-BJC07300)the Science and Technology Program of FOXCONN Group (120024001156)
文摘Structural redundancy elimination in case resource pools （CRP） is critical for avoiding performance bottlenecks and maintaining robust decision capabilities in cloud computing services. For these purposes, this paper proposes a novel approach to ensure redundancy elimination of a reasoning system in CRP. By using α entropy and mutual information, functional measures to eliminate redundancy of a system are developed with respect to a set of outputs. These measures help to distinguish both the optimal feature and the relations among the nodes in reasoning networks from the redundant ones with the elimination criterion. Based on the optimal feature and its harmonic weight, a model for knowledge reasoning in CRP （CRPKR） is built to complete the task of query matching, and the missing values are estimated with Bayesian networks. Moreover, the robustness of decisions is verified through parameter analyses. This approach is validated by the simulation with benchmark data sets using cloud SQL. Compared with several state-of-the-art techniques, the results show that the proposed approach has a good performance and boosts the robustness of decisions.
基金supported by funding the National Basic Research Program of China (973 Program) and the grant number is 2014CB239000
文摘1 Introduction Shale formations bear abundant mineral resource and*unconventional petroleum resource,and the unconventional petroleum resource that contain in the shale formation should be integrated and researched.
基金The“OBE-Oriented Programming Course Practice Teaching Research and Resource Construction”Project supported by the Association of Fundamental Computing Education in Chinese Universities in 2021.(Project Number:2021-AFCEC-246)。
文摘This research aims to construct a case resource library for programming course,which can be used for either teachers’teaching or students’learning.The cases cannot be simply piled up but rather require a systematic planning.The solution to this is to design a case system model.The outcome-based education(OBE)concept is adopted to guide the research,and a three-dimensional case system model matching the course objectives is designed.Under the guidance of the model,the case resource library construction is more planned.Cases based on the model can provide all-round support for the cultivation of students’ability by gradually promoting knowledge and technology,frequently exercising one’s abilities,as well as expanding diverse and innovative problems.
