Novel Adhesive Anchoring System Through Engineered Interface

This report describes a study of an innovative adhesive anchoring system. The weak link in the load transferring path of adhesive anchors is at adhesive-concrete (A-C) interface; hence, the innovation is about creating threads/grooves in drilled holes in concrete before the holes are filled with adhesive and anchors are installed. The new anchoring system is expected to improve the robustness of A-C interface and the consistence of adhesive anchors. The new adhesive anchoring system was verified in this study using both unconfined and confined pullout tests in uncracked concrete. The tests were divided into to two groups, one using traditional adhesive anchors and the other using the new adhesive anchors, considering two anchor sizes and three hole-cleaning conditions that represent typical practices. Finite element (FE) analyses using ABAQUS were also conducted to simulate the behavior of the adhesive anchors under tensile loading. The nonlinear analyses incorporating surface-to-surface contact, concrete damaged plasticity and nonlinear spring models were found suitable to capture the global and local behavior of the adhesive anchors with pullout bond failure. The test results and analyses showed that the new adhesive anchors greatly improved the capacity and consistence of adhesive anchors. Meanwhile, further studies are needed to validate the benefit of the proposed adhesive anchors under a variety of conditions such as sustained loading and in cracked concrete. It is also critical to develop a feasible tool to facilitate the implementation

Estimation of Stator Resistance and Rotor Flux Linkage in SPMSM Using CLPSO with Opposition-Based-Learning Strategy

Electromagnetic parameters are important for controller design and condition monitoring of permanent magnet synchronous machine (PMSM) system. In this paper, an improved comprehensive learning particle swarm optimization (CLPSO) with opposition-based-learning (OBL) strategy is proposed for estimating stator resistance and rotor flux linkage in surface-mounted PMSM; the proposed method is referred to as CLPSO-OBL. In the CLPSO-OBL framework, an opposition-learning strategy is used for best particles reinforcement learning to improve the dynamic performance and global convergence ability of the CLPSO. The proposed parameter optimization not only retains the advantages of diversity in the CLPSO but also has inherited global exploration capability of the OBL. Then, the proposed method is applied to estimate the stator resistance and rotor flux linkage of surface-mounted PMSM. The experimental results show that the CLPSO-OBL has better performance in estimating winding resistance and PM flux compared to the existing peer PSOs. Furthermore, the proposed parameter estimation model and optimization method are simple and with good accuracy, fast convergence, and easy digital implementation

Key Points in Implementation of Knowledge Management and its Solutions

In knowledge-base economy era, knowledge becomes the most important resource for enterprise instead of physical labor, capital and natural resources. The success of the enterprise depends more and more on the quantity and quality of knowledge owned by it. The core competitiveness originates from employees’ innovation ability which comes from knowledge accumulation and knowledge management. How to manage the knowledge possessed by the enterprise and how to make it becoming the sustaining competitive advantages for the enterprise? This is a new problem we must face. Finding the key points of knowledge management and plan the solution path are the crux to settle this problem. Key words: Knowledge; Knowledge Management; Innovation; Competitiveness Résumé: Dans l’ ère de l’économie de la connaissance, la connaissance devient la ressource la plus importante pour les entreprises au lieu de travail physique, des capitaux et des ressources naturelles. Le succès de l'entreprise dépend de plus en plus de la quantité et de la qualité de la connaissance détenue par elle même. Les compétitivités principales viennent de la capacité d'innovation des employés qui provient de l'accumulation des connaissances et la gestion des connaissances. Comment faire pour gérer les connaissances possédées par l'entreprise et comment faire pour qu’elles deviennent des avantages concurrentiels soutenus pour l'entreprise? Il s'agit d'un nouveau problème à qui nous devons faire face. Pour régler ce problème, il faut trouver les points clés de la gestion des connaissances et planifier les moyens de solution. Mots-Clés: connaissances; gestion des connaissances; innovation; compétitivité

Key Points in Implementation of Knowledge Management and Its Solutions

In knowledge-base economy times, knowledge becomes the most important resource for enterprise instead of physical labor, capital and natural resources. The success of the enterprise depends more and more on the quantity and quality of knowledge owned by it. The core competitiveness originates from employees’ innovation ability which comes from knowledge accumulation and knowledge management. How to manage the knowledge possessed by the enterprise and how to make it becoming the sustaining competitive advantages for the enterprise? This is a new problem we must face. Finding the key points of knowledge management and plan the solution path are the crux to settle this problem. Key Words: Knowledge; Knowledge Management; Innovation; Competitiveness Résumé: Dans l’ ère de l’économie de la connaissance, la connaissance devient la ressource la plus importante pour les entreprises au lieu de travail physique, des capitaux et des ressources naturelles. Le succès de l'entreprise dépend de plus en plus de la quantité et de la qualité de la connaissance détenue par elle même. Les compétitivités principales viennent de la capacité d'innovation des employés qui provient de l'accumulation des connaissances et la gestion des connaissances. Comment faire pour gérer les connaissances possédées par l'entreprise et comment faire pour qu’elles deviennent des avantages concurrentiels soutenus pour l'entreprise? Il s'agit d'un nouveau problème à qui nous devons faire face. Pour régler ce problème, il faut trouver les points clés de la gestion des connaissances et planifier les moyens de solution. Mots-clés: connaissances; gestion des connaissances; innovation; compétitivités 摘 要：在知識經濟時代，知識取代勞動、資本和自然資源成為企業最重要的資源。企業的成功越來越依賴於企業所擁有知識的數量和質量，企業的核心競爭力來源於全體員工的創新能力，而員工的創新能力則來自知識積累和知識管理。如何對企業所擁有的知識進行管理，使這些知識為企業創造持續的競爭優勢是任何企業都要面對的全新課題，找到知識管理的難點並提前規劃解決路徑，是推行知識管理成敗的關鍵。 關鍵詞：知識；知識管理；創新；競爭

Bis(1,3,4-thia­diazol-2-yl) disulfide

The title compound, C4H2N4S4, lies about a twofold rotation axis situated at the mid-point of the central S—S bond. Each of two thia­diazole rings is essentially planar, with an rms deviation for the unique thia­diazole ring plane of 0.0019 (7) Å. C—H⋯N hydrogen bonds link adjacent mol­ecules, forming zigzag chains along the c axis. In addition, these chains are connected by inter­molecular S⋯S inter­actions [S⋯S = 3.5153 (11) Å] , forming corrugated sheets, and further fabricate a three-dimensional supra­molecular structure by inter­molecular N⋯S contacts [S⋯N = 3.1941 (17) Å]

A Novel Personalized Academic Knowledge Sharing System in Online Social Network

Information overload is a major problem for both readers and authors due to the rapid increase in scientific papers in recent years. Methods are proposed to help readers find right papers, but few research focuses on knowledge sharing and dissemination from authors’ perspectives. This paper proposes a personalized academic knowledge sharing system that takes advantages of author’s initiatives. In our method, we combine the user-level and document-level analysis in the same model, it works in two stages: 1) user-level analysis, which is used to profile users in three dimensions (i.e., research topic relevance, social relation and research quality); and 2) document-level analysis, which calculates the similarity between the target article and reader’s publications. The proposed method has been implemented in the ScholarMate, which is a popular academic social network. The experiment results show that the proposed method can effectively promote the academic knowledge sharing, it outperforms other baseline methods