Because of the complexity of modern product design,the web-based collaborative product design aroused considerable attention of manufacturers in the last few years with the development of Internet technology. But it i...Because of the complexity of modern product design,the web-based collaborative product design aroused considerable attention of manufacturers in the last few years with the development of Internet technology. But it is still hardly achievable due to the difficulty to share product knowledge from different designers and systems. In this paper,we firstly create an ontology-based product model,which consists of PPR (Product,Process and Resource) concept models and PPR characteristic models,to describe product knowledge. Afterwards,how to represent the model in XML is discussed in detail. Then the mechanism of product knowledge collection and integration from different application systems based on interface agents is introduced. At last,a web-based open-architecture product knowledge integrating and sharing prototype system AD-HUB is developed. An example is also given and it shows that the theory discussed in this paper is efficient to represent and integrate product knowledge in web-based collaborative design processes.展开更多
Knowledge Management(KM)has become a dynamic concept for inquiry in research.The management of knowledge from multiple sources requires a systematic approach that can facilitate capturing all important aspects related...Knowledge Management(KM)has become a dynamic concept for inquiry in research.The management of knowledge from multiple sources requires a systematic approach that can facilitate capturing all important aspects related to a particular discipline,several KM frameworks have been designed to serve this purpose.This research aims to propose a Collaborative Knowledge Management(CKM)Framework that bridges gaps and overcomes weaknesses in existing frameworks.The paper also validates the framework by evaluating its effectiveness for the agriculture sector of Pakistan.A software LCWU aKMS was developed which serves as a practical implementation of the concepts behind the proposed CKMF framework.LCWU aKMS served as an effective system for rice leaf disease detection and identification.It aimed to enhance CKM through knowledge sharing,lessons learned,feedback on problem resolutions,help from co-workers,collaboration,and helping communities.Data were collected from 300 rice crop farmers by questionnaires based on hypotheses.Jennex Olfman model was used to estimate the effectiveness of CKMF.Various tests were performed including frequency measures of variables,Cronbach’s alpha reliability,and Pearson’s correlation.The research provided a KMS depicting KM and collaborative features.The disease detection module was evaluated using the precision and recall method and found to be 94.16%accurate.The system could replace the work of extension agents,making it a cost and time-effective initiative for farmer betterment.展开更多
Nowadays, the world is frequently referred to as the “information world”. Companies rely on knowledge to differentiate themselves and get a competitive advantage. As a result, businesses pay close attention to knowl...Nowadays, the world is frequently referred to as the “information world”. Companies rely on knowledge to differentiate themselves and get a competitive advantage. As a result, businesses pay close attention to knowledge management and devote a significant amount of time and resources to ensuring that knowledge is appropriately owned and exploited. Individual knowledge transfer is also a factor. The paper examines knowledge transfer and sharing, with the goal of determining the most effective internal communication tool for information transfer. The research findings should aid company management in organizing internal communication in a way that allows them to carry out their knowledge management plan.展开更多
Concerning the demands in networked collaborative innovative design, a knowledge-based collaborative design model is introduced the model of knowledge integration along with its relevant supporting techniques ...Concerning the demands in networked collaborative innovative design, a knowledge-based collaborative design model is introduced the model of knowledge integration along with its relevant supporting techniques are presented. After illustrating the general knowledge search paradigm, a kind of dynamic user model is proposed to improve knowledge search efficiency. At last a short introduction of the system’s implementation is described.展开更多
The platform of distributed design and resource sharing is important for medium-sized and small companies in developing products to improve competitiveness. As a background of creative product design, a knowledge mode...The platform of distributed design and resource sharing is important for medium-sized and small companies in developing products to improve competitiveness. As a background of creative product design, a knowledge model based on product collaborative innovation development of products (CIDP) is proposed. Characteristics of CIDP are analyzed, and the framework and key technologies of the CIDP-platform based knowledge studied. Through integration of existing system and interface designs, a development platform has been built to support the PCID within knowledge-based engineering (KBE). An example is presented, indicating that the prototype system is maneuverable and practical.展开更多
In view of the low interpretability of existing collaborative filtering recommendation algorithms and the difficulty of extracting information from content-based recommendation algorithms,we propose an efficient KGRS ...In view of the low interpretability of existing collaborative filtering recommendation algorithms and the difficulty of extracting information from content-based recommendation algorithms,we propose an efficient KGRS model.KGRS first obtains reasoning paths of knowledge graph and embeds the entities of paths into vectors based on knowledge representation learning TransD algorithm,then uses LSTM and soft attention mechanism to capture the semantic of each path reasoning,then uses convolution operation and pooling operation to distinguish the importance of different paths reasoning.Finally,through the full connection layer and sigmoid function to get the prediction ratings,and the items are sorted according to the prediction ratings to get the user’s recommendation list.KGRS is tested on the movielens-100k dataset.Compared with the related representative algorithm,including the state-of-the-art interpretable recommendation models RKGE and RippleNet,the experimental results show that KGRS has good recommendation interpretation and higher recommendation accuracy.展开更多
Currently, the collaboration in scientific communities has been studied in order to explain, among other things, the knowledge diffusion. The quality of Graduate Programmes is often associated with the scientific coll...Currently, the collaboration in scientific communities has been studied in order to explain, among other things, the knowledge diffusion. The quality of Graduate Programmes is often associated with the scientific collaboration. This paper discusses how scientific collaboration processes can be identified and characterized through social and complex networks. For this purpose, collaboration networks of bibliographic production, research projects, and committees of PhD theses and Masters’ dissertations by researchers from a graduate program in computational modeling were studied. The data were obtained from CAPES’ reports of the period from 2001 to 2009. Among the studied indices, centrality indices indicate the presence of prominent researchers who influence others and promptly interact with other researchers in the network. The indices of complex networks reveal the presence of the small-world (i.e. these networks are favorable to increase coordination between researchers) phenomenon and indicate a behavior of scale-free degree distribution (i.e. some researchers promote clustering more than others) for one of the studied networks.展开更多
Scientific research on snow avalanches is relatively modem, yet in constant and rapid evolution, as the multiple disciplines involved in its development will, in turn, become more specialized and more technical. Paten...Scientific research on snow avalanches is relatively modem, yet in constant and rapid evolution, as the multiple disciplines involved in its development will, in turn, become more specialized and more technical. Patents are part of research and knowledge production. The scientific community and policy makers are increasingly interested in production of knowledge collaboratively. Almost all of the research being conducted on snow avalanches uses technology, technique or instrumentation. One main objective of this study is to draw from the literature the many technologies, techniques and instrumentations that are being used in research related to avalanches. Thus, a textual analysis of the most significant literature in the field of snow avalanches was done. In this analysis, techniques, technologies and instrumentations have emerged. A patent search has been done in databases. Subsequently, patents were conceptualized. The proportion of applicants for patents is higher in industry than in universities. The measure of exploration of the ongoing sociocognitive transformations of science and technology systems presents a useful tool to conduct a study to explore these transformations. It would be interesting for the scientific community, but also for the industry, to elaborate concept mapping when applied to avalanche research, which would help in determining referents.展开更多
Knowledge propagation is a necessity,both in academics and in the industry.The focus of this work is on how to achieve rapid knowledge propaga-tion using collaborative study groups.The practice of knowledge sharing in...Knowledge propagation is a necessity,both in academics and in the industry.The focus of this work is on how to achieve rapid knowledge propaga-tion using collaborative study groups.The practice of knowledge sharing in study groupsfinds relevance in conferences,workshops,and class rooms.Unfortu-nately,there appears to be only few researches on empirical best practices and techniques on study groups formation,especially for achieving rapid knowledge propagation.This work bridges this gap by presenting a workflow driven compu-tational algorithm for autonomous and unbiased formation of study groups.The system workflow consists of a chronology of stages,each made of distinct steps.Two of the most important steps,subsumed within the algorithmic stage,are the algorithms that resolve the decisional problem of number of study groups to be formed,as well as the most effective permutation of the study group participants to form collaborative pairs.This work contributes a number of new algorithmic concepts,such as autonomous and unbiased matching,exhaustive multiplication technique,twisted round-robin transversal,equilibrium summation,among others.The concept of autonomous and unbiased matching is centered on the constitution of study groups and pairs purely based on the participants’performances in an examination,rather than through any external process.As part of practical demon-stration of this work,study group formation as well as unbiased pairing were fully demonstrated for a collaborative learning size of forty(40)participants,and partially for study groups of 50,60 and 80 participants.The quantitative proof of this work was done through the technique called equilibrium summation,as well as the calculation of inter-study group Pearson Correlation Coefficients,which resulted in values higher than 0.9 in all cases.Real life experimentation was carried out while teaching Object-Oriented Programming to forty(40)under-graduates between February and May 2021.Empirical result showed that the per-formance of the learners was improved appreciably.This work will therefore be of immense benefit to the industry,academics and research community involved in collaborative learning.展开更多
State and Federal agencies in the United States manage wildland fires to minimize forest loss and reduce fire impacts on communities living near forests. Despite changes to policy that emphasize the importance of coll...State and Federal agencies in the United States manage wildland fires to minimize forest loss and reduce fire impacts on communities living near forests. Despite changes to policy that emphasize the importance of collaborative <span>management with Tribes and local communities, stakeholders with place-based </span>knowledge still have limited access to meaningful participation in policy development and management planning. These barriers contribute to the alienation of communities disproportionately burdened with the negative impacts of wildfire. Reduced community-level support and a lack of inclusive practices regarding place-based knowledge result in less robust management plans and poor ecological outcomes. These outcomes highlight the need for improved multi-stakeholder collaborations that holistically address interconnected management areas. In this paper, Federal wildfire policy development and implementation are assessed to identify barriers to collaborative management. An examination of multi-stakeholder fire management organizations showed that coupling of federal policy, practices and norms and the underrepresentation of external stakeholders may hinder progress toward collaborative partnerships. A linguistic examination of federal wildfire policy showed that directive, rather than cooperative language predominated. This may promote unequal power-sharing dynamics that reduce opportunities for <span>federal engagement and collaboration with stakeholders from Tribes and local</span> communities. Tribal barriers to equitable partnership and decision-making were found to be tied to culturally mediated frameworks for environmental management. Based on these findings, this article offers suggestions for changes to policy and institutional culture that will allow for an inclusive, holistic fire management model.展开更多
The quick spread of the epidemic since 2019 together with fast advancing of technology has exposed teachers to online education,including Teaching Chinese as a Second Language(TCSL)classrooms.Some Chinese as a Second ...The quick spread of the epidemic since 2019 together with fast advancing of technology has exposed teachers to online education,including Teaching Chinese as a Second Language(TCSL)classrooms.Some Chinese as a Second Language(CSL)teachers were reluctant to utilize technology tools in their teaching due to the lack of technological knowledge.Thus,this study designed a CSL curriculum with the lens of the TPACK framework(Technological Pedagogical Content Knowledge).Nearpod was specifically adopted as a web-based technology tool to support the teaching Chinese language due to its powerful functions provided.Nearpod allows teachers to design interactive activities in multiple ways to facilitate interactions and collaboration in the CSL learning process.This paper aimed to help Chinese teachers improve their understanding of how to effectively integrate technology into CSL teaching.Chinese teachers will develop a deeper comprehension of distance teaching from the perspectives of technology,pedagogy,and content knowledge,enhance students’deeper learning,and promote interaction and collaboration in L2 class.The effective use of the technology can develop language skills in a meaningful context knowledge with the guidance of pedagogical content knowledge.展开更多
To achieve the global cooperation and win-win situation,SDN(Supply and Demand Network with multi-functional and opening characteristics for enterprise,SDN) enterprises need to build SDN collaboration platform to ensur...To achieve the global cooperation and win-win situation,SDN(Supply and Demand Network with multi-functional and opening characteristics for enterprise,SDN) enterprises need to build SDN collaboration platform to ensure the smooth supply-demand flows and to realize the collaboration goals.This paper discusses the importance of building SDN enterprise collaboration platform(SDN-ECP),and then describes the framework of SDN-ECP.展开更多
The particular characteristics of Rapid Prototyping technologies, both in terms of constrains and opportunities, often require the reconfiguration of the product model to obtain the best compliance with the product fu...The particular characteristics of Rapid Prototyping technologies, both in terms of constrains and opportunities, often require the reconfiguration of the product model to obtain the best compliance with the product functionalities and performances. Within this field of research, a knowledge-based tool named Design GuideLines Collaborative Framework (DGLs-CF) was developed to support both the designers defining the product consistently with the manufacturing technologies and the manufacturers defining the building setup consistently with the product requirements. Present work is focused on enhancing the DGLs-CF knowledge base and on updating the DGLs-CF knowledge management by using the information gathered on some RP technologies. The added-value of this research is represented by an improvement in the Redesign/Reconfig- uration Package, the final result of the DGLs-CF adoption. This is a list of actions to be performed on the product model and on the process parameters to avoid the limitations of the technology and to exploit at best its opportunities.展开更多
基金This project is supported by HI-TECH Research and Development Program of China (2001AA412180)
文摘Because of the complexity of modern product design,the web-based collaborative product design aroused considerable attention of manufacturers in the last few years with the development of Internet technology. But it is still hardly achievable due to the difficulty to share product knowledge from different designers and systems. In this paper,we firstly create an ontology-based product model,which consists of PPR (Product,Process and Resource) concept models and PPR characteristic models,to describe product knowledge. Afterwards,how to represent the model in XML is discussed in detail. Then the mechanism of product knowledge collection and integration from different application systems based on interface agents is introduced. At last,a web-based open-architecture product knowledge integrating and sharing prototype system AD-HUB is developed. An example is also given and it shows that the theory discussed in this paper is efficient to represent and integrate product knowledge in web-based collaborative design processes.
文摘Knowledge Management(KM)has become a dynamic concept for inquiry in research.The management of knowledge from multiple sources requires a systematic approach that can facilitate capturing all important aspects related to a particular discipline,several KM frameworks have been designed to serve this purpose.This research aims to propose a Collaborative Knowledge Management(CKM)Framework that bridges gaps and overcomes weaknesses in existing frameworks.The paper also validates the framework by evaluating its effectiveness for the agriculture sector of Pakistan.A software LCWU aKMS was developed which serves as a practical implementation of the concepts behind the proposed CKMF framework.LCWU aKMS served as an effective system for rice leaf disease detection and identification.It aimed to enhance CKM through knowledge sharing,lessons learned,feedback on problem resolutions,help from co-workers,collaboration,and helping communities.Data were collected from 300 rice crop farmers by questionnaires based on hypotheses.Jennex Olfman model was used to estimate the effectiveness of CKMF.Various tests were performed including frequency measures of variables,Cronbach’s alpha reliability,and Pearson’s correlation.The research provided a KMS depicting KM and collaborative features.The disease detection module was evaluated using the precision and recall method and found to be 94.16%accurate.The system could replace the work of extension agents,making it a cost and time-effective initiative for farmer betterment.
文摘Nowadays, the world is frequently referred to as the “information world”. Companies rely on knowledge to differentiate themselves and get a competitive advantage. As a result, businesses pay close attention to knowledge management and devote a significant amount of time and resources to ensuring that knowledge is appropriately owned and exploited. Individual knowledge transfer is also a factor. The paper examines knowledge transfer and sharing, with the goal of determining the most effective internal communication tool for information transfer. The research findings should aid company management in organizing internal communication in a way that allows them to carry out their knowledge management plan.
基金SupportedbyNationalHi-Tech Research and Development Program of China (Grants No.2001AA412180)
文摘Concerning the demands in networked collaborative innovative design, a knowledge-based collaborative design model is introduced the model of knowledge integration along with its relevant supporting techniques are presented. After illustrating the general knowledge search paradigm, a kind of dynamic user model is proposed to improve knowledge search efficiency. At last a short introduction of the system’s implementation is described.
文摘The platform of distributed design and resource sharing is important for medium-sized and small companies in developing products to improve competitiveness. As a background of creative product design, a knowledge model based on product collaborative innovation development of products (CIDP) is proposed. Characteristics of CIDP are analyzed, and the framework and key technologies of the CIDP-platform based knowledge studied. Through integration of existing system and interface designs, a development platform has been built to support the PCID within knowledge-based engineering (KBE). An example is presented, indicating that the prototype system is maneuverable and practical.
基金supported by the National Science Foundation of China Grant No.61762092“Dynamic multi-objective requirement optimization based on transfer learning”,No.61762089+2 种基金“The key research of high order tensor decomposition in distributed environment”the Open Foundation of the Key Laboratory in Software Engineering of Yunnan Province,Grant No.2017SE204,”Research on extracting software feature models using transfer learning”.
文摘In view of the low interpretability of existing collaborative filtering recommendation algorithms and the difficulty of extracting information from content-based recommendation algorithms,we propose an efficient KGRS model.KGRS first obtains reasoning paths of knowledge graph and embeds the entities of paths into vectors based on knowledge representation learning TransD algorithm,then uses LSTM and soft attention mechanism to capture the semantic of each path reasoning,then uses convolution operation and pooling operation to distinguish the importance of different paths reasoning.Finally,through the full connection layer and sigmoid function to get the prediction ratings,and the items are sorted according to the prediction ratings to get the user’s recommendation list.KGRS is tested on the movielens-100k dataset.Compared with the related representative algorithm,including the state-of-the-art interpretable recommendation models RKGE and RippleNet,the experimental results show that KGRS has good recommendation interpretation and higher recommendation accuracy.
基金financial support from CNPq(the Brazilian federal grant agency).
文摘Currently, the collaboration in scientific communities has been studied in order to explain, among other things, the knowledge diffusion. The quality of Graduate Programmes is often associated with the scientific collaboration. This paper discusses how scientific collaboration processes can be identified and characterized through social and complex networks. For this purpose, collaboration networks of bibliographic production, research projects, and committees of PhD theses and Masters’ dissertations by researchers from a graduate program in computational modeling were studied. The data were obtained from CAPES’ reports of the period from 2001 to 2009. Among the studied indices, centrality indices indicate the presence of prominent researchers who influence others and promptly interact with other researchers in the network. The indices of complex networks reveal the presence of the small-world (i.e. these networks are favorable to increase coordination between researchers) phenomenon and indicate a behavior of scale-free degree distribution (i.e. some researchers promote clustering more than others) for one of the studied networks.
文摘Scientific research on snow avalanches is relatively modem, yet in constant and rapid evolution, as the multiple disciplines involved in its development will, in turn, become more specialized and more technical. Patents are part of research and knowledge production. The scientific community and policy makers are increasingly interested in production of knowledge collaboratively. Almost all of the research being conducted on snow avalanches uses technology, technique or instrumentation. One main objective of this study is to draw from the literature the many technologies, techniques and instrumentations that are being used in research related to avalanches. Thus, a textual analysis of the most significant literature in the field of snow avalanches was done. In this analysis, techniques, technologies and instrumentations have emerged. A patent search has been done in databases. Subsequently, patents were conceptualized. The proportion of applicants for patents is higher in industry than in universities. The measure of exploration of the ongoing sociocognitive transformations of science and technology systems presents a useful tool to conduct a study to explore these transformations. It would be interesting for the scientific community, but also for the industry, to elaborate concept mapping when applied to avalanche research, which would help in determining referents.
文摘Knowledge propagation is a necessity,both in academics and in the industry.The focus of this work is on how to achieve rapid knowledge propaga-tion using collaborative study groups.The practice of knowledge sharing in study groupsfinds relevance in conferences,workshops,and class rooms.Unfortu-nately,there appears to be only few researches on empirical best practices and techniques on study groups formation,especially for achieving rapid knowledge propagation.This work bridges this gap by presenting a workflow driven compu-tational algorithm for autonomous and unbiased formation of study groups.The system workflow consists of a chronology of stages,each made of distinct steps.Two of the most important steps,subsumed within the algorithmic stage,are the algorithms that resolve the decisional problem of number of study groups to be formed,as well as the most effective permutation of the study group participants to form collaborative pairs.This work contributes a number of new algorithmic concepts,such as autonomous and unbiased matching,exhaustive multiplication technique,twisted round-robin transversal,equilibrium summation,among others.The concept of autonomous and unbiased matching is centered on the constitution of study groups and pairs purely based on the participants’performances in an examination,rather than through any external process.As part of practical demon-stration of this work,study group formation as well as unbiased pairing were fully demonstrated for a collaborative learning size of forty(40)participants,and partially for study groups of 50,60 and 80 participants.The quantitative proof of this work was done through the technique called equilibrium summation,as well as the calculation of inter-study group Pearson Correlation Coefficients,which resulted in values higher than 0.9 in all cases.Real life experimentation was carried out while teaching Object-Oriented Programming to forty(40)under-graduates between February and May 2021.Empirical result showed that the per-formance of the learners was improved appreciably.This work will therefore be of immense benefit to the industry,academics and research community involved in collaborative learning.
文摘State and Federal agencies in the United States manage wildland fires to minimize forest loss and reduce fire impacts on communities living near forests. Despite changes to policy that emphasize the importance of collaborative <span>management with Tribes and local communities, stakeholders with place-based </span>knowledge still have limited access to meaningful participation in policy development and management planning. These barriers contribute to the alienation of communities disproportionately burdened with the negative impacts of wildfire. Reduced community-level support and a lack of inclusive practices regarding place-based knowledge result in less robust management plans and poor ecological outcomes. These outcomes highlight the need for improved multi-stakeholder collaborations that holistically address interconnected management areas. In this paper, Federal wildfire policy development and implementation are assessed to identify barriers to collaborative management. An examination of multi-stakeholder fire management organizations showed that coupling of federal policy, practices and norms and the underrepresentation of external stakeholders may hinder progress toward collaborative partnerships. A linguistic examination of federal wildfire policy showed that directive, rather than cooperative language predominated. This may promote unequal power-sharing dynamics that reduce opportunities for <span>federal engagement and collaboration with stakeholders from Tribes and local</span> communities. Tribal barriers to equitable partnership and decision-making were found to be tied to culturally mediated frameworks for environmental management. Based on these findings, this article offers suggestions for changes to policy and institutional culture that will allow for an inclusive, holistic fire management model.
文摘The quick spread of the epidemic since 2019 together with fast advancing of technology has exposed teachers to online education,including Teaching Chinese as a Second Language(TCSL)classrooms.Some Chinese as a Second Language(CSL)teachers were reluctant to utilize technology tools in their teaching due to the lack of technological knowledge.Thus,this study designed a CSL curriculum with the lens of the TPACK framework(Technological Pedagogical Content Knowledge).Nearpod was specifically adopted as a web-based technology tool to support the teaching Chinese language due to its powerful functions provided.Nearpod allows teachers to design interactive activities in multiple ways to facilitate interactions and collaboration in the CSL learning process.This paper aimed to help Chinese teachers improve their understanding of how to effectively integrate technology into CSL teaching.Chinese teachers will develop a deeper comprehension of distance teaching from the perspectives of technology,pedagogy,and content knowledge,enhance students’deeper learning,and promote interaction and collaboration in L2 class.The effective use of the technology can develop language skills in a meaningful context knowledge with the guidance of pedagogical content knowledge.
基金fund application:XU Fu-yuanProgram Name:The research on the systematic change of traditional enterprise to Supply and Demand Network with multi-functional and opening characteristics for enterprise(SDN)+9 种基金Fund issued department:The Management Department of The State Key Program of National Natural Science of ChinaGrant No.70672110fund application:XU Fu-yuanProgram Name:Research on the model of patent resources cooperation management among enterprises and the enabled software technologyFund issued department:The National High Technology Research and Development Program of China-Automation FieldGrant No.2007AA04Z101fund application:XU Fu-yuanProgram Name:Research on Cooperation Innovation among SDN enterprisesFund issued department:The Shanghai Education CommissionGrant No.S30504
文摘To achieve the global cooperation and win-win situation,SDN(Supply and Demand Network with multi-functional and opening characteristics for enterprise,SDN) enterprises need to build SDN collaboration platform to ensure the smooth supply-demand flows and to realize the collaboration goals.This paper discusses the importance of building SDN enterprise collaboration platform(SDN-ECP),and then describes the framework of SDN-ECP.
文摘The particular characteristics of Rapid Prototyping technologies, both in terms of constrains and opportunities, often require the reconfiguration of the product model to obtain the best compliance with the product functionalities and performances. Within this field of research, a knowledge-based tool named Design GuideLines Collaborative Framework (DGLs-CF) was developed to support both the designers defining the product consistently with the manufacturing technologies and the manufacturers defining the building setup consistently with the product requirements. Present work is focused on enhancing the DGLs-CF knowledge base and on updating the DGLs-CF knowledge management by using the information gathered on some RP technologies. The added-value of this research is represented by an improvement in the Redesign/Reconfig- uration Package, the final result of the DGLs-CF adoption. This is a list of actions to be performed on the product model and on the process parameters to avoid the limitations of the technology and to exploit at best its opportunities.