Titlebook: Recent Advances in Intelligent Manufacturing; First International Shilong Wang,Mark Price,Rui Chen Conference proceedings 2018 Springer Na

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doctor" rather than a mere interpreter of laboratory data. Essentials of Bedside Cardiology, Second Edition, strives to teach and not simply to tell the facts, relying on three basic methods d978-1-4684-9754-0978-1-59259-338-5Series ISSN 2196-8969 Series E-ISSN 2196-8977

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/r/image/822799.jpg

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Defining Production and Financial Data Streams Required for a Factory Digital Twin to Optimise the D predict future system performance. However for effective decision making knowledge of system level behaviour beyond production e.g. financial metrics would also be required. The generation of standard accounting data from simulation models has received little attention in the literature. Herein a m

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Data Driven Die Casting Smart Factory Solutionimize production performance. Aiming at the problem that traditional decision system in die casting factory ignores the value of manufacturing data, the data driven die casting smart factory solution is developed. The key technology of intelligent factory is reviewed, and a new “Data + Prediction + 

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Accuracy Analysis of Incrementally Formed Tunnel Shaped Partsvior of these parts was characterized by an error prediction response surface generated using Multivariate Adaptive Regression Splines (MARS). This response surface predicted over forming for low wall angle parts and under forming for higher wall angle parts. It is based on geometrical parameters as

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Dynamic Model for Service Composition and Optimal Selection in Cloud Manufacturing Environmentnlike cloud computing, the services in cloud manufacturing (CMfg) include real time manufacturing resources besides computing services, which makes CMfg environment complicated for allocation of services to the respective tasks. Thus, problem is not having adequate tools for the fast and effective s