Relevant bibliographies by topics / Knowledge-Based Engineering

Academic literature on the topic 'Knowledge-Based Engineering'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 March 2023

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Journal articles on the topic "Knowledge-Based Engineering"

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Rivers, Rod, and Brian Kriss. "Knowledge-based engineering training." Computer-Aided Engineering Journal 4, no. 1 (1987): 68. http://dx.doi.org/10.1049/cae.1987.0014.

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Johnson, W. Lewis. "Knowledge-Based Software Engineering." Knowledge Engineering Review 7, no. 4 (December 1992): 367–69. http://dx.doi.org/10.1017/s0269888900006482.

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The 7th Annual Knowledge-Based Software Engineering Conference was held at the McLean Hilton at Tysons Comer, in McLean, Virginia, on Sept. 20–23, 1992. This conference was sponsored by Rome Laboratory and held in cooperation with the IEEE Computer Society, ACM SIGART and SIGSOFT, and the American Association for Artificial Intelligence (AAAI).
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Selfridge, P. G. "Knowledge-based software engineering." IEEE Expert 7, no. 6 (December 1992): 11–12. http://dx.doi.org/10.1109/64.180404.

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Preston, S., C. Chapman, M. Pinfold, and G. Smith. "Knowledge acquisition for knowledge-based engineering systems." International Journal of Information Technology and Management 4, no. 1 (2005): 1. http://dx.doi.org/10.1504/ijitm.2005.006401.

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Chapman, C., S. Preston, M. Pinfold, and G. Smith. "Utilising enterprise knowledge with knowledge-based engineering." International Journal of Computer Applications in Technology 28, no. 2/3 (2007): 169. http://dx.doi.org/10.1504/ijcat.2007.013354.

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Jain, L. C. "The Knowledge-Based Intelligent Engineering: New Engineering." IETE Technical Review 15, no. 5 (September 1998): 345–47. http://dx.doi.org/10.1080/02564602.1998.11416769.

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Habermann, A. N. "Engineering large knowledge-based systems." Data & Knowledge Engineering 5, no. 2 (July 1990): 105–17. http://dx.doi.org/10.1016/0169-023x(90)90007-z.

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Studer, Rudi. "Knowledge-based software engineering environments." Computer Physics Communications 38, no. 2 (October 1985): 277–87. http://dx.doi.org/10.1016/0010-4655(85)90091-8.

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Klein,, Rudiger. "Towards an Integration of Engineering Knowledge Management And Knowledge Based Engineering." Journal for Manufacturing Science and Production 3, no. 2-4 (December 2000): 103–10. http://dx.doi.org/10.1515/ijmsp.2000.3.2-4.103.

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Lu, RuQian, and Zhi Jin. "From knowledge based software engineering to knowware based software engineering." Science in China Series F: Information Sciences 51, no. 6 (May 21, 2008): 638–60. http://dx.doi.org/10.1007/s11432-008-0060-y.

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Dissertations / Theses on the topic "Knowledge-Based Engineering"

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May, John Hendy Robert. "Knowledge-based systems in engineering safety." Thesis, University of Bristol, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327937.

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Bader, J. L. "Knowledge-based systems and Software Engineering." Thesis, Aston University, 1988. http://publications.aston.ac.uk/15143/.

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The work described was carried out as part of a collaborative Alvey software engineering project (project number SE057). The project collaborators were the Inter-Disciplinary Higher Degrees Scheme of the University of Aston in Birmingham, BIS Applied Systems Ltd. (BIS) and the British Steel Corporation. The aim of the project was to investigate the potential application of knowledge-based systems (KBSs) to the design of commercial data processing (DP) systems. The work was primarily concerned with BIS's Structured Systems Design (SSD) methodology for DP systems development and how users of this methodology could be supported using KBS tools. The problems encountered by users of SSD are discussed and potential forms of computer-based support for inexpert designers are identified. The architecture for a support environment for SSD is proposed based on the integration of KBS and non-KBS tools for individual design tasks within SSD - The Intellipse system. The Intellipse system has two modes of operation - Advisor and Designer. The design, implementation and user-evaluation of Advisor are discussed. The results of a Designer feasibility study, the aim of which was to analyse major design tasks in SSD to assess their suitability for KBS support, are reported. The potential role of KBS tools in the domain of database design is discussed. The project involved extensive knowledge engineering sessions with expert DP systems designers. Some practical lessons in relation to KBS development are derived from this experience. The nature of the expertise possessed by expert designers is discussed. The need for operational KBSs to be built to the same standards as other commercial and industrial software is identified. A comparison between current KBS and conventional DP systems development is made. On the basis of this analysis, a structured development method for KBSs in proposed - the POLITE model. Some initial results of applying this method to KBS development are discussed. Several areas for further research and development are identified.
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Darwish, Ahmed Adel. "Knowledge-based interpretation of satellite images : a knowledge engineering approach." Thesis, University of Nottingham, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289488.

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Crow, Louise Rebecca. "Software agents for Internet-based knowledge engineering." Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325716.

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Davey-Wilson, Ian Edward George. "A knowledge-based system in geotechnical engineering." Thesis, University of Bradford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277162.

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Quintana-Amate, Santiago. "A new knowledge sourcing framework to support knowledge-based engineering development." Thesis, Cranfield University, 2015. http://dspace.lib.cranfield.ac.uk/handle/1826/10279.

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New trends in Knowledge-Based Engineering (KBE) highlight the need for decoupling the automation aspect from the knowledge management side of KBE. In this direction, some authors argue that KBE is capable of effectively capturing, retaining and reusing engineering knowledge. However, there are some limitations associated with some aspects of KBE that present a barrier to deliver the knowledge sourcing process requested by the industry. To overcome some of these limitations this research proposes a new methodology for efficient knowledge capture and effective management of the complete knowledge life cycle. Current knowledge capture procedures represent one of the main constraints limiting the wide use of KBE in the industry. This is due to the extraction of knowledge from experts in high cost knowledge capture sessions. To reduce the amount of time required from experts to extract relevant knowledge, this research uses Artificial Intelligence (AI) techniques capable of generating new knowledge from company assets. Moreover the research reported here proposes the integration of AI methods and experts increasing as a result the accuracy of the predictions and the reliability of using advanced reasoning tools. The proposed knowledge sourcing framework integrates two features: (i) use of advanced data mining tools and expert knowledge to create new knowledge from raw data, (ii) adoption of a well-established and reliable methodology to systematically capture, transfer and reuse engineering knowledge. The methodology proposed in this research is validated through the development and implementation of two case studies aiming at the optimisation of wing design concepts. The results obtained in both use cases proved the extended KBE capability for fast and effective knowledge sourcing. This evidence was provided by the experts working in the development of each of the case studies through the implementation of structured quantitative and qualitative analyses.
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Bobrowski, Richard Michal. "An objective approach to matching computer-based tools to engineering design tasks for the automation of engineering design processes." Thesis, University of Warwick, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323417.

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Chao, K. M. "Knowledge sharing and reuse for engineering design." Thesis, University of Sunderland, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361204.

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Palthepu, Srinivas. "Scalable program recognition for knowledge-based reverse engineering." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0018/NQ37907.pdf.

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Caldwell, N. H. M. "Knowledge-based engineering for the scanning electron microscope." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.597224.

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The dissertation is an account of the author's research into the analysis, design, and implementations of knowledge-based (expert) systems for applications in the field of scanning electron microscopy. The specific tasks of interest have been fault diagnosis and instrument control. This research represents the first utilisation of knowledge-based techniques within electron microscopy. The dissertation begins by providing background material on the scanning electron microscope and surveying the expert systems literature with regard to critical areas of system design. The target applications and the associated research objectives are next summarised. A set of novel algorithms for improving the microscope by enhanced automatic control of fundamental instrument parameters, namely tungsten filament saturation and alignment, are presented, and the area of automatic focus algorithms is reinvestigated. Research into the design and implementation of an expert system for microscope fault diagnosis, including mechanisms for interfacing the expert system to the Internet, is discussed. This is followed by a detailed presentation of the development of a knowledge-based approach to instrument control. The next segment of this dissertation concentrates upon theoretical issues arising from the preceding work. A proposal is made to classify network-aware expert systems, and the impact of the Internet and the World Wide Web upon such systems is discussed within this context. An analysis of the work is performed to indicate how the practical portions of the research may be generalised to other tasks within scanning electron microscopy and outwith to other scientific instruments.
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Books on the topic "Knowledge-Based Engineering"

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Kravets, Alla, Maxim Shcherbakov, Marina Kultsova, and Tadashi Iijima, eds. Knowledge-Based Software Engineering. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11854-3.

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Setliff, Dorothy, and Howard Reubenstein, eds. Knowledge-Based Software Engineering. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/b102388.

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Virvou, Maria, Fumihiro Kumeno, and Konstantinos Oikonomou, eds. Knowledge-Based Software Engineering: 2018. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97679-2.

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Virvou, Maria, Hiroyuki Nakagawa, and Lakhmi C. Jain, eds. Knowledge-Based Software Engineering: 2020. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53949-8.

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Virvou, Maria, Takuya Saruwatari, and Lakhmi C. Jain, eds. Knowledge-Based Software Engineering: 2022. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17583-1.

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Dym, Clive L. Knowledge-based systems in engineering. New York: McGraw-Hill, 1991.

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Pedrycz, Witold. Knowledge-Based Clustering. New York: John Wiley & Sons, Ltd., 2005.

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Joint, Conference on Knowledge-Based Software Engineering (7th 2006 Tallinn Estonia). Knowledge-based software engineering: Proceedings of the Seventh Joint Conference on Knowledge-based Software Engineering. Amsterdam: IOS Press, 2006.

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Joint Conference on Knowledge-Based Software Engineering (8th 2008 Piraeus, Greece). Knowledge-based software engineering: Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering. Amsterdam, Netherlands: Ios Press, 2008.

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Joint Conference on Knowledge-Based Software Engineering (5th 2002 Maribor, Slovenia). Knowledge-based software engineering: Proceedings of the fifth Joint Conference on Knowledge-Based Software Engineering. Amsterdam: IOS Press/Ohmsha, 2002.

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Book chapters on the topic "Knowledge-Based Engineering"

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Stjepandić, Josip, Wim J. C. Verhagen, Harald Liese, and Pablo Bermell-Garcia. "Knowledge-Based Engineering." In Concurrent Engineering in the 21st Century, 255–86. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13776-6_10.

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Shina, Sammy G. "Knowledge-Based Engineering." In Concurrent Engineering and Design for Manufacture of Electronics Products, 315–34. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-6518-1_13.

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Huget, Marc-Philippe, and Jean-Luc Koning. "Engineering Interaction Protocols for Multiagent Systems." In Intelligent Knowledge-Based Systems, 1473–506. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/978-1-4020-7829-3_40.

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Segreto, Tiziana. "Knowledge-Based System." In CIRP Encyclopedia of Production Engineering, 1–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-35950-7_6557-4.

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Segreto, Tiziana. "Knowledge-Based System." In CIRP Encyclopedia of Production Engineering, 997–1001. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-53120-4_6557.

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Segreto, Tiziana. "Knowledge-Based System." In CIRP Encyclopedia of Production Engineering, 729–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-20617-7_6557.

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Hirz, Mario, Wilhelm Dietrich, Anton Gfrerrer, and Johann Lang. "Knowledge-Based Engineering Data Management." In Integrated Computer-Aided Design in Automotive Development, 393–408. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-11940-8_8.

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Neubert, Susanne. "Model Construction in MIKE (Model based and Incremental Knowledge Engineering)." In Knowledge Acquisition for Knowledge-Based Systems, 200–219. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57253-8_55.

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Sánchez-Silva, Mauricio. "Risk Analysis and the Decision-Making Process in Engineering." In Intelligent Knowledge-Based Systems, 1361–93. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/978-1-4020-7829-3_38.

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Howe, Adele E., Anneliese von Mayrhauser, and Richard T. Mraz. "Test Case Generation as an AI Planning Problem." In Knowledge-Based Software Engineering, 77–106. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-0-585-34714-1_5.

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Conference papers on the topic "Knowledge-Based Engineering"

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Völkel, Max, Sebastian Schaffert, Elena Pasaru-Bontas, and Sören Auer. "Wiki-based knowledge engineering." In the 2006 international symposium. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1149453.1149480.

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Sainter, P., K. Oldham, A. Larkin, A. Murton, and R. Brimble. "Product Knowledge Management Within Knowledge-Based Engineering Systems." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dac-14501.

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Abstract Knowledge-based engineering systems are now becoming more commonplace in engineering industry. There is a need to ensure the technology is used correctly and to provide the user with all the possible benefits that the system can offer. This paper looks at how product knowledge can be managed within knowledge-based engineering systems to ensure that the knowledge retains its value and usefulness during the product lifecycle. Presently, the use of these systems has been for the short-term benefit of the company. However, it is believed that it is important to consider longer-term issues also, since knowledge normally has a half-life of around 20 years. The main aim of this paper is to demonstrate the need for product knowledge management within knowledge-based engineering systems by looking at key issues that are related to the longer-term use of these systems. This paper will also provide a product knowledge management scheme for the development and management of product knowledge within knowledge-based engineering systems, thereby extending the benefits of knowledge-based engineering systems into the longer-term.
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Remy, Sébastien, Florent Laroche, Alexandre Durupt, and Alain Bernard. "Knowledge Based Reverse Engineering Methodology." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82927.

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In Reverse Engineering, commercial solutions such as Geomagic™ or RapidForm™ or CAD software such as CATIA™ provide very efficient toolboxes that enable to rebuild geometry. Moreover, some of them provide segmentation algorithms, sketchers and/or many other facilities rebuilding tools in order to help to recover the original surface. Those software’s enable to rebuild the geometry of a technical object as a set of functions (protrusion, revolution, sweep…), they enable to add colours and textures, and they enable realistic kinematical animation and many other things. Unfortunately, all those toolboxes present a lack of geometry analysis tools. The geometry of a given product is the consequence of a complete process, it is important, considering Reverse Engineering activities, to try to recover any evidence of its past life (including socio-economical aspects, the design intents of the former designer, its different uses…) from its geometry in order to produce a good quality 3D model. Such models can provide important possibilities for Reverse Engineering. It enables to study the product more efficiently than a geometrical model based on a mesh or on free form surfaces. This paper proposes approaches and methodologies for using knowledge to rebuild CAD model to the best closer to the original CAD model that could have been obtained by the original designer. Such a model is feature based. They can be functional features or manufacturing features. For a good rebuilt of 3D model, the geometry of these features is driven by parameters, rules and relationships that are provided by the former designer.
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Harper, A. P. "Knowledge based total product engineering." In IEE Colloquium on `Successful Cases of Integrated Product Design with Manufacturing Technology'. IEE, 1997. http://dx.doi.org/10.1049/ic:19970905.

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"6th Annual Knowledge-based Software Engineering Conference [front matter]." In 6th Annual Knowledge-Based Software Engineering Conference. IEEE, 1991. http://dx.doi.org/10.1109/kbse.1991.638014.

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"Proceedings of 8th Knowledge-Based Software Engineering Conference." In Proceedings of 8th Knowledge-Based Software Engineering Conference. IEEE, 1993. http://dx.doi.org/10.1109/kbse.1993.341203.

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"Proceedings of 11th Knowledge Based Software Engineering Conference." In Proceedings of 11th Knowledge Based Software Engineering Conference. IEEE, 1996. http://dx.doi.org/10.1109/kbse.1996.552817.

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PLANT, ROBERT, and PANAGIOTIS TSOUMPAS. "Towards an integrated software engineering - Knowledge engineering methodology for knowledge-based system development." In 31st Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1993. http://dx.doi.org/10.2514/6.1993-406.

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Nordvall, Erik, and Mehdi Tarkian. "Knowledge based engineering for formula student." In Proceedings of NordDesign 2022. The Design Society, 2022. http://dx.doi.org/10.35199/norddesign2022.45.

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"Proceedings KBSE '94. Ninth Knowledge-Based Software Engineering Conference." In Proceedings KBSE '94. Ninth Knowledge-Based Software Engineering Conference. IEEE, 1994. http://dx.doi.org/10.1109/kbse.1994.342686.

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Reports on the topic "Knowledge-Based Engineering"

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Chemaly, Adel. Intelligent Knowledge-Based Engineering. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada281906.

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Kim, Simon S., Mary Lou Maher, Raymond E. Levitt, Martin F. Rooney, and Thomas J. Siller. Survey of the State-of-the-Art Expert/Knowledge Based Systems in Civil Engineering. Fort Belvoir, VA: Defense Technical Information Center, October 1986. http://dx.doi.org/10.21236/ada175257.

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Navathe, Shamkant B. A Knowledge-Based Approach to Integrating and Querying Distributed Information Systems Heterogeneous Intelligent Processing for Engineering Design (HIPED). Fort Belvoir, VA: Defense Technical Information Center, August 1997. http://dx.doi.org/10.21236/ada341697.

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Ruff, Grigory, and Tatyana Sidorina. THE DEVELOPMENT MODEL OF ENGINEERING CREATIVITY IN STUDENTS OF MILITARY INSTITUTIONS. Science and Innovation Center Publishing House, December 2020. http://dx.doi.org/10.12731/model_of_engineering_creativity.

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The troops of the national guard of the Russian Federation are equipped with modern models of weapons, special equipment, Informatization tools, engineering weapons that have artificial intelligence in their composition are being developed, " etc., which causes an increase in the requirements for the quality of professional training of future officers. The increasing complexity of military professional activities, the avalanche-like increase in information, the need to develop the ability to quickly and accurately make and implement well-known and own engineering solutions in an unpredictable military environment demonstrates that the most important tasks of modern higher education are not only providing graduates with a system of fundamental and special knowledge and skills, but also developing their professional independence, and this led to the concept of engineering and creative potential in the list of professionally important qualities of an officer. To expedite a special mechanism system compact intense clarity through cognitive visualization of the educational material, thickening of educational knowledge through encoding, consolidation and structuring Principle of cognitive visualization stems from the psychological laws in accordance with which the efficiency of absorption is increased if visibility in training does not only illustrative, but also cognitive function, which leads to active inclusion, along with the left and right hemispheres of the student in the process of assimilation of information, based on the use of logical and semantic modeling, which contributes to the development of engineering and creative potential.
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Bridges, Todd, Jeffrey King, Jonathan Simm, Michael Beck, Georganna Collins, Quirjin Lodder, and Ram Mohan. Overview : International Guidelines on Natural and Nature-Based Features for Flood Risk Management. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41945.

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The application of natural and nature‑based features (NNBF) has grown steadily over the past 20 years, supported by calls for innovation in flood risk management (FRM) and nature‑based solutions from many different perspectives and organizations. Technical advancements in support of NNBF are increasingly the subject of peer‑reviewed and other technical literature. A variety of guidance has been published by numerous organizations to inform program‑level action and technical practice for specific types of nature‑based solutions. This effort to develop international guidelines on the use of NNBF was motivated by the need for a comprehensive guide that draws directly on the growing body of knowledge and experience from around the world to inform the process of conceptualizing, planning, designing, engineering, constructing, and operating NNBF.
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Nagahi, Morteza, Raed Jaradat, Mohammad Nagahisarchoghaei, Ghodsieh Ghanbari, Sujan Poudyal, and Simon Goerger. Effect of individual differences in predicting engineering students' performance : a case of education for sustainable development. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40700.

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The academic performance of engineering students continues to receive attention in the literature. Despite that, there is a lack of studies in the literature investigating the simultaneous relationship between students' systems thinking (ST) skills, Five-Factor Model (FFM) personality traits, proactive personality scale, academic, demographic, family background factors, and their potential impact on academic performance. Three established instruments, namely, ST skills instrument with seven dimensions, FFM traits with five dimensions, and proactive personality with one dimension, along with a demographic survey, have been administrated for data collection. A cross-sectional web-based study applying Qualtrics has been developed to gather data from engineering students. To demonstrate the prediction power of the ST skills, FFM traits, proactive personality, academic, demographics, and family background factors on the academic performance of engineering students, two unsupervised learning algorithms applied. The study results identify that these unsupervised algorithms succeeded to cluster engineering students' performance regarding primary skills and characteristics. In other words, the variables used in this study are able to predict the academic performance of engineering students. This study also has provided significant implications and contributions to engineering education and education sustainable development bodies of knowledge. First, the study presents a better perception of engineering students' academic performance. The aim is to assist educators, teachers, mentors, college authorities, and other involved parties to discover students' individual differences for a more efficient education and guidance environment. Second, by a closer examination at the level of systemic thinking and its connection with FFM traits, proactive personality, academic, and demographic characteristics, understanding engineering students' skillset would be assisted better in the domain of sustainable education.
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Shalatska, Hanna M., Olena Yu Zotova-Sadylo, and Ivan O. Muzyka. Moodle course in teaching English language for specific purposes for masters in mechanical engineering. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3881.

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The central thesis of this paper is that e-learning courses can have a significant impact on English language for specific purposes (ESP) proficiency of mining mechanical engineering students. The purpose of this study is to assess the effectiveness of ESP Moodle-based course “English for Mining Mechanical Engineers” and to reveal the results of its experimental approbation. In order to identify the lectures’ and learners’ needs we have applied the survey research. The survey confirmed the greatest demand for Moodle courses that include all the elements of a coherent training manual to provide self-development of engineering students. The interview results contributed to design of author’s ESP course syllabus. The importance and originality of this study are that to approbate the course materials’ effectiveness two approaches have been adopted simultaneously. The first is blended learning method based on e-learning platform applied in the experimental group and the second one is classic in-class instructor-led studying used in a control group. Students’ progress in ESP proficiency has been assessed using the cross assessment method. The experiment has validated the initial hypothesis that the special online courses focused on honing foreign language skills and integrated in the domain of specific professional knowledge have a beneficial effect on students’ communicative competencies in general. There were identified the advantages of self-tuition based on Moodle platform. The Moodle course lets the teachers save considerable in-class time to focus more on communicative assignments. The findings of this study have a number of practical implications in ESP online courses development.
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Rassovytska, Maryna V., and Andrii M. Striuk. Система хмаро орієнтованих засобів навчання інформатичних дисциплін студентів інженерних спеціальностей. [б. в.], August 2018. http://dx.doi.org/10.31812/0564/2452.

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The purpose of this study is to identify the main categories of cloud-based learning tools and to identify the links between them. Thus, the following categories of cloud-oriented teaching aids are allocated for educational purposes and feature of use: teaching management tools, communication tools, joint activity tools, teaching materials, knowledge control tools. In study was developed a system of cloud-oriented tools of learning computer science disciplines of engineering specialties students and considered examples of the implementation of its individual components. As a further area of research, the experimental implementation of this system of cloud-oriented learning means is considered.
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9

Norelli, John L., Moshe Flaishman, Herb Aldwinckle, and David Gidoni. Regulated expression of site-specific DNA recombination for precision genetic engineering of apple. United States Department of Agriculture, March 2005. http://dx.doi.org/10.32747/2005.7587214.bard.

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Objectives: The original objectives of this project were to: 1) evaluate inducible promoters for the expression of recombinase in apple (USDA-ARS); 2) develop alternative selectable markers for use in apple to facilitate the positive selection of gene excision by recombinase (Cornell University); 3) compare the activity of three different recombinase systems (Cre/lox, FLP/FRT, and R/RS)in apple using a rapid transient assay (ARO); and 4) evaluate the use of recombinase systems in apple using the best promoters, selectable markers and recombinase systems identified in 1, 2 and 3 above (Collaboratively). Objective 2 was revised from the development alternative selectable markers, to the development of a marker-free selection system for apple. This change in approach was taken due to the inefficiency of the alternative markers initially evaluated in apple, phosphomannose-isomerase and 2-deoxyglucose-6-phosphate phosphatase, and the regulatory advantages of a marker-free system. Objective 3 was revised to focus primarily on the FLP/FRT recombinase system, due to the initial success obtained with this recombinase system. Based upon cooperation between researchers (see Achievements below), research to evaluate the use of the FLP recombinase system under light-inducible expression in apple was then conducted at the ARO (Objective 4). Background: Genomic research and genetic engineering have tremendous potential to enhance crop performance, improve food quality and increase farm profits. However, implementing the knowledge of genomics through genetically engineered fruit crops has many hurdles to be overcome before it can become a reality in the orchard. Among the most important hurdles are consumer concerns regarding the safety of transgenics and the impact this may have on marketing. The goal of this project was to develop plant transformation technologies to mitigate these concerns. Major achievements: Our results indicate activity of the FLP\FRTsite-specific recombination system for the first time in apple, and additionally, we show light- inducible activation of the recombinase in trees. Initial selection of apple transformation events is conducted under dark conditions, and tissue cultures are then moved to light conditions to promote marker excision and plant development. As trees are perennial and - cross-fertilization is not practical, the light-induced FLP-mediated recombination approach shown here provides an alternative to previously reported chemically induced recombinase approaches. In addition, a method was developed to transform apple without the use of herbicide or antibiotic resistance marker genes (marker free). Both light and chemically inducible promoters were developed to allow controlled gene expression in fruit crops. Implications: The research supported by this grant has demonstrated the feasibility of "marker excision" and "marker free" transformation technologies in apple. The use of these safer technologies for the genetic enhancement of apple varieties and rootstocks for various traits will serve to mitigate many of the consumer and environmental concerns facing the commercialization of these improved varieties.
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Ray, Jason, and Clayton Thurmer. 2020 guided wave inspection of California Department of Water Resources tainter gate post-tensioned trunnion anchor rods : Oroville Dam. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43762.

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The Engineering and Test Branch within the Division of Operations and Maintenance of the California Department of Water Resources (DWR) and U.S. Army Corps of Engineers (USACE), Sacramento District, tasked the Sensor Integration Branch (SIB) at the Engineer Research and Develop-ment Center (ERDC) to perform non-destructive testing (NDT) on the trunnion anchor rods at Oroville Dam through the use of ultrasonic guided waves. This is the third year of this NDT. The results of the testing are presented along with qualitative analysis in determining whether a rod is in-tact or compromised. Analysis is based upon the expected results from other rods at the site, knowledge of rod response at other sites, data gathered from the trunnion rod research test bed at the ERDC, and comparison to the previous year’s effort.
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