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1

Hall, P. A. V., und G. H. Galal. „Computer-aided software engineering“. Computer-Aided Engineering Journal 6, Nr. 4 (1989): 113. http://dx.doi.org/10.1049/cae.1989.0028.

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2

Case, Albert F. „Computer-aided software engineering (CASE)“. ACM SIGMIS Database: the DATABASE for Advances in Information Systems 17, Nr. 1 (September 1985): 35–43. http://dx.doi.org/10.1145/1040694.1040698.

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3

Campbell, A. „CASE: computer-aided software engineering“. Information and Software Technology 34, Nr. 6 (Juni 1992): 416–17. http://dx.doi.org/10.1016/0950-5849(92)90018-k.

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4

Chen, Y., und W. Zhao. „Software integrated circuits and computer-aided software engineering tools“. Information and Software Technology 34, Nr. 6 (Juni 1992): 403–7. http://dx.doi.org/10.1016/0950-5849(92)90016-i.

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5

Ibrahim, Bertrand. „Software engineering techniques for computer-aided learning“. Education and Computing 5, Nr. 4 (1989): 215–22. http://dx.doi.org/10.1016/s0167-9287(89)80047-0.

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6

Lirov, Yuval. „Computer-aided software engineering of expert systems“. Expert Systems with Applications 2, Nr. 4 (Januar 1991): 333–43. http://dx.doi.org/10.1016/0957-4174(91)90039-h.

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7

Heym, M., und H. Österle. „Computer-aided methodology engineering“. Information and Software Technology 35, Nr. 6-7 (Juni 1993): 345–54. http://dx.doi.org/10.1016/0950-5849(93)90005-n.

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8

Parsons, Michael G., und Klaus-Peter Beier. „Microcomputer Software for Computer-Aided Ship Design“. Marine Technology and SNAME News 24, Nr. 03 (01.07.1987): 246–64. http://dx.doi.org/10.5957/mt1.1987.24.3.246.

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The rapid evolution of the microcomputer has changed the software needs of today's naval architects. The Department of Naval Architecture and Marine Engineering at The University of Michigan has been a leader in the application of computers in ship design education. The computer environment readily available to the department's students has changed dramatically in the past few years with the evolution of the Computer-Aided Marine Design Laboratory within the department and the creation of the Computer Aided Engineering Network (CAEN) within the College of Engineering. The microcomputer facilities available to the students are briefly described. To fully integrate this capability into the department's curriculum, a coordinated suite of computer-aided ship design software has been developed for use on the Macintosh and IBM-PC/XT/AT microcomputers provided for the students. To support the use of this and other software on a wide range of computers, a portable, device-independent computer graphics subprogram package M-PLOT has been developed. The educational philosophy behind this design software and its scope, capabilities, and use in ship design education are described. Examples of the use of selected programs are presented to illustrate these capabilities. Plans for further work are outlined. The effort is well toward the goal of a complete, microcomputer-based ship design software environment.
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9

Terry, B., und D. Logee. „Terminology for Software Engineering Environment (SEE) and Computer-Aided Software Engineering (CASE)“. ACM SIGSOFT Software Engineering Notes 15, Nr. 2 (April 1990): 83–94. http://dx.doi.org/10.1145/382296.382706.

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10

Premkumar, G., und Michael Potter. „Adoption of computer aided software engineering (CASE) technology“. ACM SIGMIS Database: the DATABASE for Advances in Information Systems 26, Nr. 2-3 (Mai 1995): 105–24. http://dx.doi.org/10.1145/217278.217291.

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11

Berdonosov, Victor, und Elena Redkolis. „TRIZ-fractality of computer-aided software engineering systems“. Procedia Engineering 9 (2011): 199–213. http://dx.doi.org/10.1016/j.proeng.2011.03.112.

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12

Tatsuta, Tanehiro. „Conference on computer-aided software engineering summary report“. ACM SIGSOFT Software Engineering Notes 21, Nr. 5 (September 1996): 36–39. http://dx.doi.org/10.1145/235969.235978.

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13

GIBSON, MICHAEL L., und CHARLES A. SNYDER. „COMPUTER AIDED SOFTWARE ENGINEERING: FACILITATING THE PATH FOR TRUE SOFTWARE AND KNOWLEDGE ENGINEERING“. International Journal of Software Engineering and Knowledge Engineering 01, Nr. 01 (März 1991): 99–114. http://dx.doi.org/10.1142/s0218194091000093.

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An emerging enterprise-wide orientation evidenced by comprehensive enterprise modeling supported by a technological architecture that includes computer aided software engineering (CASE) tools may empower knowledge and software engineers greater than ever before. An enterprise-wide orientation seeks to carry the strategy of an organization throughout its operations. Enterprise modeling makes it possible to have this panoramic view of the enterprise. An advanced technological architecture that includes CASE empowers enterprise functional personnel, knowledge engineers, and software engineers with the methodological and technological platform required to produce a comprehensive enterprise model. Current environmental trends are influencing how well organizations implement this enterprise-wide orientation, modeling perspective, and the methodological and technological platform.
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14

Poulin, Jeffrey S. „Integrated support for software reuse in Computer-Aided Software Engineering (CASE)“. ACM SIGSOFT Software Engineering Notes 18, Nr. 4 (Oktober 1993): 75–82. http://dx.doi.org/10.1145/163626.163637.

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15

Taylor, Bruce H., John F. Courtright, William H. Acton und Marcia L. Fox. „Computer-Aided Checklist for Human Engineering“. Proceedings of the Human Factors Society Annual Meeting 33, Nr. 18 (Oktober 1989): 1210–13. http://dx.doi.org/10.1177/154193128903301809.

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Military Standard 1472C is the prevailing standard for human engineering in military systems, possessing literally thousands of design criteria. The breadth and detail of these criteria often prove to be impediments to their effective application. This paper describes a prototype software tool, the Computer-Aided Checklist for Human Engineering (CACHE), designed to automate the generation, administration, and analysis of human engineering compliance checklists.
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16

Haskard, M. R., M. A. Macdonald und G. Pilkington. „CAHL — computer aided hybrid layout software“. Microelectronics Journal 25, Nr. 5 (August 1994): 323–34. http://dx.doi.org/10.1016/0026-2692(94)90081-7.

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17

Berdonosov, Victor D., und Elena V. Redkolis. „ON CLASSIFICATION OF COMPUTER-AIDED SOFTWARE ENGINEERING SYSTEMS (CASE)“. Scholarly Notes of Komsomolsk-na-Amure State Technical University 1, Nr. 4 (30.12.2010): 12–25. http://dx.doi.org/10.17084/2010.iv-1(4).2.

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18

Torii, K., K. Matsumoto, K. Nakakoji, Y. Takada, S. Takada und K. Shima. „Ginger2: an environment for computer-aided empirical software engineering“. IEEE Transactions on Software Engineering 25, Nr. 4 (1999): 474–92. http://dx.doi.org/10.1109/32.799942.

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19

Jenkins, Marcelo. „Teaching computer aided software engineering at the graduate level“. ACM SIGCSE Bulletin 40, Nr. 3 (25.08.2008): 63–67. http://dx.doi.org/10.1145/1597849.1384290.

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20

Matsumoto, Y., und T. Ajisaka. „A Distributed Type Computer-Aided Software Requirements Engineering Environment“. IFAC Proceedings Volumes 22, Nr. 15 (September 1989): 1–7. http://dx.doi.org/10.1016/b978-0-08-037870-1.50007-1.

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21

Bacher, R. „Computer aided power flow software engineering and code generation“. IEEE Transactions on Power Systems 11, Nr. 1 (1996): 490–96. http://dx.doi.org/10.1109/59.486138.

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22

McPhater, N. S., und C. Strachan. „Hardware and software compatibility of computer- aided engineering workstations“. Computer-Aided Design 17, Nr. 3 (April 1985): 117–21. http://dx.doi.org/10.1016/0010-4485(85)90195-2.

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23

Chen, M., J. F. Nunamaker und E. S. Weber. „Computer-aided software engineering: present status and future directions“. ACM SIGMIS Database: the DATABASE for Advances in Information Systems 20, Nr. 1 (April 1989): 7–13. http://dx.doi.org/10.1145/71232.71234.

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24

Backer, Gerald P. „Computer-aided engineering software for semi-solid metal manufacturing“. JOM 50, Nr. 8 (August 1998): 21–23. http://dx.doi.org/10.1007/s11837-998-0451-y.

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25

Crozier, M., D. Glass, JG Hughes, W. Johnston und I. McChesney. „Critical analysis of tools for computer-aided software engineering“. Information and Software Technology 31, Nr. 9 (November 1989): 486–96. http://dx.doi.org/10.1016/0950-5849(89)90147-x.

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26

Chiwuzie, Emmanuel, Mohammad Abdel Fattah A. R. Haboush, Kassem Youssef und Huseyin Camur. „Enhancing undergraduate engineering education quality through using computer-aided design software“. New Trends and Issues Proceedings on Humanities and Social Sciences 7, Nr. 3 (01.12.2020): 177–83. http://dx.doi.org/10.18844/prosoc.v7i3.5250.

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The computer‐aided design software has been developed as a support aid for improving the creativity and the ability of students to understand the concept of the practice courses. Therefore, the study reviewed previous scientific studies associated with computer-aided learning (CAL) to identify the importance of CAL in supporting engineering education learning. Additionally, this study aimed to develop a vision for the future of education through the use of an effective technological means to reduce as much effort and time as possible in engineering departments. The results demonstrated that the use of CAL in engineering courses improved the quality of education and increased the ability of the student to solve complex engineering problems. Consequently, the authors recommend that the institute should conduct training courses for instructors in CAL/design/programme and their role in supporting engineering learning. Keywords: Computer-aided learning, education learning, engineering department, institute, problem-solving skills.
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27

Granger, Mary J., und Roger A. Pick. „The impact of computer-aided software engineering on student performance“. ACM SIGCSE Bulletin 23, Nr. 1 (März 1991): 62–72. http://dx.doi.org/10.1145/107005.107017.

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28

Györkös, J., I. Rozman und T. Welzer. „The Concept of an Efficient Computer Aided Software Engineering Tool“. IFAC Proceedings Volumes 21, Nr. 14 (September 1988): 89–94. http://dx.doi.org/10.1016/s1474-6670(17)53687-3.

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29

Györkös, J., I. Rozman und T. Welzer. „The concept of an efficient computer aided software engineering tool“. Annual Review in Automatic Programming 14 (Januar 1988): 89–94. http://dx.doi.org/10.1016/0066-4138(90)90016-k.

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30

BAUM, RUDY. „BioDesign's Software Advances Computer-Aided Molecular Design“. Chemical & Engineering News 66, Nr. 5 (Februar 1988): 24–25. http://dx.doi.org/10.1021/cen-v066n005.p024.

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31

JOSHI, SANJAY B., ERIK G. METTALA und RICHARD A. WYSK. „CIMGEN—A COMPUTER AIDED SOFTWARE ENGINEERING TOOL FOR DEVELOPMENT OF FMS CONTROL SOFTWARE“. IIE Transactions 24, Nr. 3 (Juli 1992): 84–97. http://dx.doi.org/10.1080/07408179208964226.

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32

Sowjanya, P. „Computer aided software integrated automated safety system“. International Journal of Computer Aided Engineering and Technology 11, Nr. 4/5 (2019): 561. http://dx.doi.org/10.1504/ijcaet.2019.10020299.

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33

Sowjanya, P. „Computer aided software integrated automated safety system“. International Journal of Computer Aided Engineering and Technology 11, Nr. 4/5 (2019): 561. http://dx.doi.org/10.1504/ijcaet.2019.100456.

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34

Ray, Gautam. „Computer Aided Problem Based Learning in Engineering Dynamics“. Applied Mechanics and Materials 704 (Dezember 2014): 148–53. http://dx.doi.org/10.4028/www.scientific.net/amm.704.148.

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In this paper we demonstrated the use of Problem Based Learning (PBL) in undergraduate Engineering Dynamics. In PBL, the students enhance their learning by solving problems. In some engineering courses, often the students are not able to explore real life and somewhat complex problems due to inability to handle the mathematical rigor. By using software such as Mathematica® we created modules for some Engineering Dynamics problems. These modules allowed students to concentrate on the formulation and “Physics” and interpretation of the problems of the rather than the rigors of mathematical solutions.
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35

Eisner, Howard, Ray McMillan, John Marciniak und William Pragluski. „RCASSE: Rapid Computer‐Aided System of Systems (S2) Engineering“. INCOSE International Symposium 3, Nr. 1 (Juli 1993): 267–73. http://dx.doi.org/10.1002/j.2334-5837.1993.tb01588.x.

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AbstractThis paper expands system of systems (S2) engineering through the addition of rapid, top‐level engineering, in a computer‐aided environment known as Rapid Computer‐Aided System of Systems Engineering (RCASSE). This process is carried out over a nominal six month period and involves ten steps: Mission Engineering Baseline Architecting Performance Assessment Specialty Engineering Interfaces/Compatibility Evaluation Software Issues/Sizing Risk Definition/Mitigation Scheduling Pre‐Planned Product Improvement Life Cycle Cost Issue Assessment Each of these steps is defined and discussed, together with supporting computer tools. Other guiding RCASSE principles and a summary are also provided.
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Beamud González, Elena María, Pedro Jose Núñez López, Eustaquio García Plaza, David Rodríguez Salgado, Alfonso González González und Justo García Sanz-Calcedo. „Reverse Engineering Applied to the Teaching of Computer Aided Manufacturing“. Materials Science Forum 903 (August 2017): 120–27. http://dx.doi.org/10.4028/www.scientific.net/msf.903.120.

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One of the main shortcomings of individualized training in the use of computer aided design (CAD), and computer aided manufacturing (CAM) tools is that students lack a sound and broad understanding of the type of tools, and their specific and integrated applications in industrial manufacturing. This study aimed to design an integrated curricular training programme in computer aided tools for the design and manufacture of mechanical components based on reverse engineering techniques. By using real products that students can see and touch, a scanned copy is obtained for subsequent reconstruction into a virtual three-dimensional model using the software for optimizing the point cloud, meshing, and creating both the surface and solid. Once the virtual three-dimensional model has been obtained, it is exported to a solid modelling CAD (3D-CAD) software for modification according to the geometrical requirements. The next step is for students to manufacture a component using rapid prototyping techniques, which allow them to visualize, analyse, and inspect a component to optimize its design. The use of computer aided manufacturing software enables students to design and plan machining operations virtually to obtain a computer numeric control (CNC) program for the manufacture of a component with a CNC machine tool. Finally, students perform a quality control of the component by employing a range of measurement techniques. This training program is integrated into the subjects of the mechanical engineering degree, where students can work with these tools in line with an intergraded curriculum.
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37

Shields, R. V. „User’s Perspective of CAD/CAM Software“. Journal of Ship Production 4, Nr. 04 (01.11.1988): 280–85. http://dx.doi.org/10.5957/jsp.1988.4.4.280.

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Great emphasis has been attached to the achievement of productivity and producibility benefits through the application of computer-aided design and computer-aided manufacturing (CAD/CAM) technologies. To ensure the achievement of these benefits, it is important that the end user have appropriate software and be able to use it to his advantage. The proper procurement, customization, installation, training, and implementation of software can play a significant role in the effectiveness of CAD/CAM.
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38

Thilmany, Jean. „Where Does CAM Stand?“ Mechanical Engineering 129, Nr. 01 (01.01.2007): 30–32. http://dx.doi.org/10.1115/1.2007-jan-2.

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This article describes various engineering ways to use computers in manufacturing industry. Streamlining computer-aided design (CAD) and computer-aided manufacturing (CAM) handoff has long been the dream of engineering organizations that face handoff issues every day. The company, Protomold Co. Inc., ties CAD directly with CAM, to do away with requiring a human in the loop. It makes plastic injection-molded parts from customers’ CAD models. A Minnesota company has nearly automated its mold making. Software designs the mold automatically and automatically commands milling machines. The article also highlights that CAM systems of the future should include easy workarounds that any company could use to customize the software. Like other computer-aided engineering applications, manufacturing software is being pushed forward, although innovation and research is mainly the purview of academics. Researchers are focusing on considering rapid prototyping for making CAD and CAM work together in future.
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39

Burgielski, Z., T. Jansen, B. von Rymon-Lipinski, N. Hanssen und E. Keeve. „JULIUS - A SOFTWARE FRAMEWORK FOR COMPUTER-AIDED-SURGERY“. Biomedizinische Technik/Biomedical Engineering 47, s1a (2002): 101–3. http://dx.doi.org/10.1515/bmte.2002.47.s1a.101.

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40

Levitan, Alan S., Jian Guan und Andrew T. Cobb. „Modeling an Object-Oriented Accounting System with Computer-Aided Software Engineering“. Journal of Information Systems 22, Nr. 2 (01.09.2008): 123–39. http://dx.doi.org/10.2308/jis.2008.22.2.123.

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ABSTRACT: The purpose of this case is, first, to provide students with an experience in systems modeling, using facts gathered through interviews with employees who may not be skilled in presenting their responsibilities in a systematic, logical, sequential manner. Second, students will gain actual hands-on experience learning and using a leading modeling language, the Unified Modeling Language (UML), through a popular Computer-Aided Software Engineering (C.A.S.E.) tool. Finally, the students will be using those interview facts to model an object-oriented system for processing cash receipts. In that effort, they will learn and apply the unique documentation techniques used in analyzing and designing object-oriented systems with design features such as use cases, class diagrams with inheritance, and sequence diagrams.
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41

Selamat, M. H., und M. M. Rahim. „Evaluation of computer-aided software engineering tools: Experience from Malaysian organisations“. International Journal of Information Management 16, Nr. 4 (August 1996): 299–313. http://dx.doi.org/10.1016/0268-4012(96)00015-1.

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42

Urwiler, Robert, Narender K. Ramarapu, Ronald B. Wilkes und Mark N. Frolick. „Computer-aided software engineering: The determinants of an effective implementation strategy“. Information & Management 29, Nr. 4 (Oktober 1995): 215–25. http://dx.doi.org/10.1016/0378-7206(95)00025-r.

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43

Otarawanna, Somboon, Kiattisak Ngiamsoongnirn, Atipong Malatip, Patipath Eiamaram, Sutthisak Phongthanapanich, Ekachai Juntasaro, Pruet Kowitwarangkul, Thanasan Intarakumthornchai, Parinya Boonmalert und Chatthanon Bhothikhun. „An educational software suite for comprehensive learning of Computer‐Aided Engineering“. Computer Applications in Engineering Education 28, Nr. 5 (11.06.2020): 1083–109. http://dx.doi.org/10.1002/cae.22285.

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44

Thilmany, Jean. „Outside In“. Mechanical Engineering 131, Nr. 08 (01.08.2009): 38–41. http://dx.doi.org/10.1115/1.2009-aug-5.

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This article discusses reverse engineering software is slowly changing the way design engineers do their everyday jobs. With the pervasiveness of computer-aided design packages, reverse engineering technology has become a practical tool to create a 3D virtual model of an existing physical part. This model is then available to be used in 3D CAD, computer-aided manufacturing, or other computer-aided engineering applications. The reverse engineering process needs hardware and software that work together. The hardware is used to measure an object, and the software reconstructs it as a 3D model. The physical object can be measured using 3D scanning technologies such as a coordinate measuring machine, laser scanner, structured light digitizer, or computed tomography. The wider accessibility of handheld-laser scanners and portable CMMs like the one used at Excel Foundry means more companies can afford reverse engineering for their own unique ends. The scanner has turned out to be equally useful for engineering and for local archeological and preservation projects; and so far, it has been used to help preserve endangered artifacts.
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Kamthan, Pankaj. „A Perspective on Software Engineering Education with Open Source Software“. International Journal of Open Source Software and Processes 4, Nr. 3 (Juli 2012): 13–25. http://dx.doi.org/10.4018/ijossp.2012070102.

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As the development and use of open source software (OSS) becomes prominent, the issue of its outreach in an educational context arises. The practices fundamental to software engineering, including those related to management, process, and workflow deliverables, are examined in light of OSS. Based on a pragmatic framework, the prospects of integrating OSS in a traditional software engineering curriculum are outlined, and concerns in realizing them are given. In doing so, the cases of the adoption of an OSS process model, the use of OSS as a computer-aided software engineering (CASE) tool, OSS as a standalone subsystem, and open source code reuse are considered. The role of openly accessible content in general is discussed briefly.
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46

Anderson, Max D., Steven A. Hauk, Robert Laramore und Hardy J. Pottinger. „Computer-Aided Testing of Electrical Machines: Software Development“. IEEE Transactions on Power Systems 2, Nr. 3 (1987): 824–30. http://dx.doi.org/10.1109/tpwrs.1987.4335215.

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47

Ohsaki, Yorihiko, und Masao Mikumo. „Computer-aided engineering in the construction industry“. Engineering with Computers 1, Nr. 2 (Juni 1985): 87–102. http://dx.doi.org/10.1007/bf01200067.

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48

Anderson, Max D., Steven A. Hauk, Robert Laramore und Hardy J. Pottinger. „Computer-Aided Testing of Electrical Machines: Software Development“. IEEE Power Engineering Review PER-7, Nr. 8 (August 1987): 60. http://dx.doi.org/10.1109/mper.1987.5527077.

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49

An, Yan Ming, Lian Qin He, Guo Zhong Zhao, Ming Fei An und Yue Zhen. „Study of Computer Aided History Matching Technology“. Advanced Materials Research 271-273 (Juli 2011): 275–80. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.275.

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On the basic of studying the present technical situation of home and abroad about computer aided History Matching of the reservoir numerical simulation and digesting, absorbing technology, we studied and optimized highly effective algorithm fit for the aided History Matching. At the same time, we designed the software interface and frame and function module, developed the independent aided History Matching software named CAPHE, thus formed aided history methods suitable for our independent reservoir simulator-PBRS. By using of the software in practical some oil simulation blocks, CAPHE can significantly increase History Matching efficiency in the reservoir simulation.
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Sekou, Singare. „Manufacture of Custom Contoured Seat Cushions Using Computer-Aided Design Computer-Aided Manufacturing (CAD/CAM) Technique“. Advanced Materials Research 201-203 (Februar 2011): 342–46. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.342.

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In the rehabilitation engineering area, the pressure ulcer prevention is an important and healthy problem, especially for people with the spinal cord injured (SCI). This paper aim to develop a computer aided design and computer aided manufacture (CAD/CAM) method to manufacture custom cushions to prevent pressure ulcer. A patient’s buttock was digitized using 3D laser scanner, and the captured buttock data was processed in reverse engineering environment to generate the 3D surface model of the buttock. The 3D surface model of the buttock is imported into Unigraphics software to create the solid model; then, a flat rectangle that represents the cushion was generated under the buttock to create the buttock-cushion system. Based on the load-deformation relation of cushion materials acquired by the test, the depth of cut of the cushion was established and a CAD model of cushion shape was created through a Boolean subtraction. The CAD model of the contour is post-processed into code that the numerically controlled milling machine (CNC milling) can use to machine the cushion.
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