Breach
发表于 2025-3-26 23:45:48
NX 11 für Einsteiger – kurz und bündig designed into the engineering process providing high benefits in product value. Knowledge-based tools and methods along with new architectures for information handling improve the chance of successfully implementing a concurrent engineering process and further improving the productivity of engineer
Asymptomatic
发表于 2025-3-27 03:24:48
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Terminal
发表于 2025-3-27 05:35:26
https://doi.org/10.1007/978-3-658-18617-3th standard protocols and manufacturing message formats upto application level embedded in the machinery and equipment. However problem lies in integration of already existing equipment which are heterogenious with variety of non standard interfaces. This paper presents design aspects of Network Int
Atrium
发表于 2025-3-27 12:52:17
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新字
发表于 2025-3-27 15:10:04
https://doi.org/10.1007/978-3-658-23061-6ard and well defined in procurement and other business related segments. However technical data sharing for CAD/CAM/CIM often require movement of complex coordinate geometry among more convoluted paths. The most common method for geometry movement, the initial graphics exchange specification (IGES),
ALIBI
发表于 2025-3-27 21:22:05
Andreas Wünsch,Fabian Pilz,Sándor Vajnastry. Specifically, three studies are conducted: 1) The first study establishes a procedure, through which a non-binary machine-component matrix is constructed. This matrix forms the basis of the following two studies. 2) The second study applies the non-binary matrix concept to the single linkage c
昆虫
发表于 2025-3-28 00:56:34
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Ornithologist
发表于 2025-3-28 03:55:46
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道学气
发表于 2025-3-28 07:49:17
https://doi.org/10.1007/978-3-658-01515-2omplex due to combinatorial explosion, technological constraints and goals to be achieved. Heuristics involving dispatching rules have been widely utilized to obtain good solutions. Nevertheless, it is difficult to identify any single dispatching rule as the best in all scheduling problems. Hence, a
展览
发表于 2025-3-28 11:27:33
Guido Klette,Michael Nulsch,Sándor Vajnasize of the machine-part matrix. In this study, a neural network approach that uses the Adaptive Resonance Theory (ART) paradigm to classify vectors obtained from the machine-part matrix, is proposed. The effect of varying the sensitivity of the ART in recognizing the similarity between the vectors