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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Alsulmi, Saleh Nasir. "Knowledge-activity-based requirements engineering processes improvement framework." Thesis, Lancaster University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551647.
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Improving the quality of Requirement Engineering Processes (REPs) needs more than just a technical perspective. It needs People, System, Resources as well as their operational Environment perspectives. A People (social) approach is needed in order to understand more about the intended stakeholders of the target process and their improvement requirements. A System (engineering) approach is needed to understand more about the best way of doing the right actions within the scope of current conditions. A Resources (technical) approach is needed to understand more about managing, planning, controlling the input, the intended output, the tools or one oftheir associated objects. A socio-technical environment (combined) approach is needed to understand these perspectives and maintain business vi- . sions regarding their needs and support of the long-term investment of both the customers and developers - they are subsets of the target stakeholders society. With these comprehensive improvement perspectives, a new approach to im- prove the software REP is proposed based on the activity theory framework. Our proposed improvement framework is based on re-using previous knowledge related to one single unit activity in order to address one single actual RE position (ARE- P) aiming at one single improvement perspective at a time. The final outcome is a Knowledge-Activity-Based REP Improvement Framework (KBA-REF) that would incrementally address all perspectives of improvement through 10P+QF factors schemes that would associate an individual stakeholder's competency and actions with an overall organisational learning capability and unitised activities.
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Seshasai, Satwiksai 1980. "A knowledge based approach to facilitate engineering design." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87838.
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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 2002."May 10, 2002."
Includes bibliographical references (leaves 87-90).
by Satwiksai Seshasai.
M.Eng.
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Struthers, Alistair. "A knowledge based approach to process engineering design." Thesis, University of Edinburgh, 1990. http://hdl.handle.net/1842/13036.
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This thesis provides an extensive overview of the issues involved in adopting a knowledge based approach to the development of an integrated process design environment. The majority of the work described requires a good understanding of topics from several research areas outwith mainstream process engineering. The topics covered include logic, graph theory, knowledge representation, and theories of comprehension in cognitive science. Introductory reviews of these subjects are provided in order to make the thesis understandable to an engineering audience. The thesis consists of four main sections. The first section consists of a critical review of previous attempts to develop integrated design systems using database technology. The section highlights the problem of the use of such systems in terms of data and knowledge integrity. A novel AIP (Appropriate and Incremental Parallelism) systems engineering framework is proposed along with a long term research framework to investigate the use of knowledge representation techniques to implement this design methodology. The second section provides a review of the basic aspects of graph theory, logic and production systems that are essential to understanding the rest of the work. The third section describes the development and use of rule based techniques, blackboard systems, and object oriented/frame based systems. A novel representation system, (Combined Logic and Procedures - CLAP), is described that is specifically designed to represent the various types of information needed in a process design environment. Drawing on these developments, the fourth section provides an extensive review of the many problems associated with the use of production and frame based systems. This is followed by a review of more advanced ideas on theories of comprehension in cognitive science. In particular the study of conceptual categorisation and mental models is discussed in some detail. The preliminary development of a system, Designer's Assistant, is then described that attempts to embody these ideas in a working system. The main conclusion of the work is that current knowledge representation techniques are far from adequate in terms of being able to provide the tools needed to develop an intelligent design environment. The work described in the latter half of the thesis indicates that considerable research remains to be done.
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Davoodi, M. "Knowledge based system development as an engineering process." Thesis, Brunel University, 1989. http://bura.brunel.ac.uk/handle/2438/5249.
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Knowledge Based System (KBS) development is a difficult and challenging task, in particular in knowledge intensive domains. The traditional view of knowledge engineering is one of mining experts' knowledge and somehow transforming it into a machine usable form. This process, in general, suffers from insufficient or misconstrued representation of experts' problem solving behaviour. It is also unstructured and unduly biased at an early stage by design and implementation issues - normally in the form of incremental prototyping. We believe that both knowledge acquisition and KBS development for real life applications will require a 'structured' approach. This approach should harness a KBS developer's ability in extracting knowledge and developing systems. The structure should also be sufficiently flexible to allow the knowledge engineer to use his sense of creativity in developing a KBS. This thesis puts forward such a structured approach, in which KBS development is carried out in an engineering fashion. A process in which the worker is provided with an environment for developing knowledge based systems as an engineering process, as opposed to that of an artform or crafting. The main emphasis of this work is that part of the process which deals with the analysis and design phases in developing KBS. The analysis is performed at an 'epistemological' level, not coloured by design or implementation issues. The output of this phase captures both an expert's problem solving capability, and the business constraints placed upon the intended system. This is then used by the design process in order to create an optimal, workable, and elegant design architecture for the ultimate system.
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Harrington, J. "An intelligent negotiation based framework to support concurrent engineering principles in the engineering design of process plant." Thesis, Cranfield University, 1996. http://dspace.lib.cranfield.ac.uk/handle/1826/4667.
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The traditional approach to the engineering design of process plant is highly sequential with decisions made early in the design phase having a large knock on effect to downstream design processes. A lack of consideration to downstream concerns will either result in design re-work or compromise. Concurrent engineering has been proposed as a design method for resolving the problems inherent in the sequential design process by bringing the different engineering disciplines together at key decision points in the design process, thereby preventing design problems before they occur. Computational support for concurrent engineering aims to develop tools to help team members in sharing knowledge and keep track of the others' needs, constraints, decisions and assumptions [Cutkosky, et al. 93]. Such systems would enable engineering disciplines from each of the design life-cycle stages to communicate and review design strategy. As a group they would be able to explore design alternatives in search of a good solution [Talukdar, Fenves 89]. Knowledge based systems can support the engineering design process by providing advice that accounts for the global concerns. It is argued that such a system should be distributed, due to the problems in maintaining a single large knowledge base, and computational power required to operate a single system. However, wherever expertise is distributed, conflict exists that has to be resolved. The aims of this research are to identify the needs of a computational support environment to aid concurrent engineering design, and to develop a framework to enable disparate design systems to cooperate and produce designs acceptable from the global viewpoint. The 'needs' were identified from a study of the engineering design process, and a detailed analysis into the design and selection of pumping systems to provide a rich example of the problems faced in a specific design process. Cooperation is achieved through 'Negotiation', which resolves conflicts between the various objectives involved in design and is a central theme of this research. Through the provision of a framework to support negotiation the aim is to provide the basis on which individual design programs can cooperate to produce rational designs from a global perspective, thereby bringing life cycle design advice to the earlier design stages.
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Bermell-Garcia, Pablo. "A metamodel to annotate knowledge based engineering codes as enterprise knowledge resources." Thesis, Cranfield University, 2007. http://dspace.lib.cranfield.ac.uk/handle/1826/3169.
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The encoding of Knowledge Based Engineering (KBE) software applications is becoming a prominent tool for the automation of knowledge intensive tasks carried out using Computer Aided Design (CAD) technology. However, limitations exist on the ability to manage the engineering knowledge models embedded in these executable KBE applications. This research proposes a metamodel to annotate encoded KBE applications. Resulting from the annotation, XKMs become explicit knowledge resources whose content can be better accessed and managed. The attachment of metadata to data sets in enterprise repositories is a necessary step to identify and index them so they can be queried, browsed and changed. The sophistication of metadata models for these data “items” ranges from the simple indexing using numbers to more sophisticated representations describing their context information (i.e. author, creation date, etc.), their internal structure and their content. Current engineering data repositories like Product Data Management and Product Lifecycle Management systems offer predefined metamodels to annotate a range of engineering data items including CAD files or special types of documents. At the moment, there is no metadata model specifically designed to annotate KBE codes. In this situation, an undifferentiated metadata model needs to be used for XKMs. However, in this case the only information retained by the system about them would be context metadata. Once an instance of the metadata is attached to an XKM, it can be used as its identifier within an enterprise data repository. The proposed metamodel contains abstract entities to annotate XKMs. The resulting descriptive model for an XKM pays attention to its internal structure and its operation at different levels of granularity. The particular design of the proposed metamodel positions it at a level of abstraction between non executable domain knowledge models and executable KBE applications. This design choice is made to support the use of the metadata not only as an informative model but also as an executable one. The achievement of this target is becoming possible through the emergence of semantic modelling standards that allow the description of data models independently from the language of implementation. Using this approach, the generation of code and metadata is made automatically using mapping rules resulting from the semantic agreement between models and specific syntax rules. The immediate application of the developed metamodel is to annotate XKMs within PLM systems. The approach shall contribute not only to systematically store instances of XKMs but also to manage the lifecycle of the engineering knowledge encoded within them. The proposed representation provides a more comprehensive approach for non KBE language experts to understand the code. On this basis, the change on the metamodels can be automatically traced back to the code and vice-versa. During the research, evidence has been gathered from the community of KBE technology users and vendors on the need to support this research effort. In the long term, the research contributes to the use of PLM systems as a platform for engineering knowledge management.
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Saxena, Abhinav. "Knowledge-Based Architecture for Integrated Condition Based Maintenance of Engineering Systems." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16125.
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A paradigm shift is emerging in system reliability and maintainability. The military and industrial sectors are moving away from the traditional breakdown and scheduled maintenance to adopt concepts referred to as Condition Based Maintenance (CBM) and Prognostic Health Management (PHM). In addition to signal processing and subsequent diagnostic and prognostic algorithms these new technologies involve storage of large volumes of both quantitative and qualitative information to carry out maintenance tasks effectively. This not only requires research and development in advanced technologies but also the means to store, organize and access this knowledge in a timely and efficient fashion. Knowledge-based expert systems have been shown to possess capabilities to manage vast amounts of knowledge, but an intelligent systems approach calls for attributes like learning and adaptation in building autonomous decision support systems.
This research presents an integrated knowledge-based approach to diagnostic reasoning for CBM of engineering systems. A two level diagnosis scheme has been conceptualized in which first a fault is hypothesized using the observational symptoms from the system and then a more specific diagnostic test is carried out using only the relevant sensor measurements to confirm the hypothesis. Utilizing the qualitative (textual) information obtained from these systems in combination with quantitative (sensory) information reduces the computational burden by carrying out a more informed testing. An Industrial Language Processing (ILP) technique has been developed for processing textual information from industrial systems. Compared to other automated methods that are computationally expensive, this technique manipulates standardized language messages by taking advantage of their semi-structured nature and domain limited vocabulary in a tractable manner.
A Dynamic Case-based reasoning (DCBR) framework provides a hybrid platform for diagnostic reasoning and an integration mechanism for the operational infrastructure of an autonomous Decision Support System (DSS) for CBM. This integration involves data gathering, information extraction procedures, and real-time reasoning frameworks to facilitate the strategies and maintenance of critical systems. As a step further towards autonomy, DCBR builds on a self-evolving knowledgebase that learns from its performance feedback and reorganizes itself to deal with non-stationary environments. A unique Human-in-the-Loop Learning (HITLL) approach has been adopted to incorporate human feedback in the traditional Reinforcement Learning (RL) algorithm.
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Fowell, Susan Patricia. "The performance modelling of preferential choice : a knowledge engineering approach." Thesis, Leeds Beckett University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335892.
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Baxter, David. "A process-based approach to engineering design knowledge reuse." Thesis, Cranfield University, 2007. http://dspace.lib.cranfield.ac.uk/handle/1826/2795.
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Manufacturing enterprises are under increasing pressure to produce products of higher quality at lower cost in shorter time frames if they are to remain competitive. Engineering design support methods can help companies to achieve these goals. One such approach is design knowledge reuse. Industrial requirements have been identified as (i) the ability to rapidly create product variants; (ii) the ability to capture and re-use design knowledge, and; (iii) the capability to support the design effort across a distributed enterprise. The research aim is developed to assist the manufacturing enterprise in meeting the industrial requirements in the following way: a design solution to a new product requirement can be supported using an application package that is developed for a specific product domain. The application package consists of knowledge about previous products and projects, and procedures for using the knowledge to achieve a new solution. An initial investigation showed that design reuse in practice is lacking in specific areas: access to relevant and contextualised captured design knowledge; the relationship between design reuse and the product development process; integrated engineering and business objectives. Literature gaps were also identified. They include: (i) knowledge reuse for the whole product life cycle (particularly early design); (ii) integrated product and design process models; (iii) a ‘how-to’ element of the product design process. The aim of this research is to provide a method for reusing engineering design knowledge. The research method is ‘interview case study’, which supports a flexible approach and enables the research to develop according to the findings. The research was carried out with four companies, one of which took part in a detailed case study, providing case data to develop, populate and validate the proposed system. The outcome of the research is a proposal for a process based engineering design reuse method. The method consists of a combination of product, process and task knowledge to support the design process. Product knowledge is represented using a product ontology. Process knowledge is represented using the Design Roadmap method. Task knowledge is represented using a template developed to record the critical aspects of the task, including ‘how-to’ knowledge. Case studies are used to validate the proposed framework and the developed prototype system. The proposed design knowledge reuse framework is applicable to a range of industries in which mature, complex products are developed.
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Mills, Paul. "A knowledge based computer system for engineering design quotations." Thesis, University of Wolverhampton, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233929.
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The research examines the difficulties relating to the construction of a computer model for the automation of the design and cost estimation practices in engineering. The research has been carried out in an industrial context and the work has included both theoretical and pragmatic issues relating to the modelling of expertise for the production of commercially useful software in the field of combustion system design. The difficulties relating to the capture of ill-defined knowledge and subjective human decision-making with 'traditional' programming languages is examined and a study undertaken regarding the use of Artificial Intelligence techniques. A particular emphasis has been placed on decision-making under uncertainty. The work has resulted in the construction of a prototype expert system that can be used to produce design quotations relating to single burner gas-fired combustion systems. An important aspect of the decision-making characteristic of engineering design, and particularly for the cost estimating stages of a project, is the mannner in which engineers combine both cost and technical data in order to arrive at design solutions on the criterion 'value for money'. The formal mathematics of probability theory and confirmation theory provide tools for modelling expertise of this kind and the research has developed and examined two parallel systems. The first is based on the use of Bayes' theorem and the second makes use of ideas from both confirmation and fuzzy set theory. The general approach, developed within the research, of combining knowledge types relating to 'fitness for purpose' and 'cost' into ordinal measures of 'value' is fundamental to many areas of decision-making and has many applications. The research also addresses the use of rule-based methods for application domains where the knowledge is continually changing and the expertise of users is variable.
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Goekay, Mehmet Kemal. "Developing computer methodologies for rock engineering decisions." Thesis, Imperial College London, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.339439.
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Finn, Gavin Alexander. "Event-driven knowledge-based design." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11386.
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Vann, A. M. "Intelligent monitoring of civil engineering systems." Thesis, University of Bristol, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238845.
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Cicconi, Paolo. "Tools and methods based on knowledge elicitation to support engineering design." Doctoral thesis, Università Politecnica delle Marche, 2011. http://hdl.handle.net/11566/241935.
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Le aziende di successo sono quelle che hanno saputo valorizzare le risorse umane e che hanno creato soprattutto le condizioni perché la conoscenza ed il know-how presente potesse evolvere e svilupparsi. Ciò non avviene per caso ma solo nel momento in cui si capisce che la conoscenza è la più grande ricchezza di un’impresa. Queste considerazioni sono sempre più necessarie se si considera l’evoluzione dell’economia occidentale e la difficoltà di accontentare il sempre più esigente consumatore finale che ricerca prodotti in poche quantità più ridotte ma sempre più personalizzabili.
La sfida per le aziende meccaniche italiane è quella di commercializzare prodotti di qualità ma continuando a sviluppare soluzioni innovative in tempi rapidi e contenendo i costi. Per vincere bisogna investire sulla parte più importante di un azienda: la progettazione, al fine di assicurare il futuro all’impresa stessa tramite strategie dedicate all’innovazione ed alla tecnologia.
Non esiste un manuale in grado di guidare l’ottimizzazione di una tipologia di progettazione, esistono però molte alternative sia commerciali che personalizzate per ingegnerizzare ed automatizzare il processo di progettazione industriale.
In particolare, all’interno di questa tesi è stato analizzato lo stato dell’arte sui sistemi Knowledge Based e sui loro aspetti implementativi. Una profonda analisi sul Knowledge Elicitation è stata richiesta per poter catturare e poi formalizzare non solo la conoscenza esplicita ma anche quella implicita e tacita. Con molta accuratezza è stato generalizzato il tipico flusso di progettazione al fine di trovare le criticità e poter fondare le basi sull’introduzione di procedimenti migliorativi. Sono stati proposti tre diversi livelli di metodologie di progettazione, uno per ogni grado di automazione. Il livello base di progettazione automatizzata è il livello della progettazione basata sull’esperienza in cui i progettisti hanno un buon livello di competenze ingegneristiche e conoscenze informatiche basilari tramite le quali poter implementare piccoli strumenti di lavoro come librerie di features oppure tabelle di variabili personalizzate per ridurre le operazioni ripetitive in fase di progettazione. Passando ad un livello di automazione maggiore, quello intermedio, le conoscenze ingegneristiche del progettista devono essere maggiori perché la progettazione è basata sulla prototipazione virtuale, quindi sull’uso ingegneristico di applicativi commerciali in grado di
automatizzare calcoli per la valutazione rapida delle prestazioni fisiche del prodotto. Al livello più automatizzato corrisponde una progettazione completamente basata sulla conoscenza aziendale implementata su applicativi software dedicati; quindi, in aggiunta alla competenza ingegneristica, sono richieste altre competenze riguardanti la programmazione ad oggetti ed in particolare conoscenze specifiche sulle interfacce di programmazione messe a disposizione da molti software ingegneristici.
Per poter formulare l’approccio metodologico di questa tesi sono state seguite da vicino molte aziende localizzate nella regione Marche, tuttavia ai fini della trattazione sono stati riportati solo due degli esempi più significativi. Mentre nel primo caso applicativo si è valutata e realizzata una metodologia di lavoro basata sulla prototipazione virtuale, nel secondo caso si è accuratamente formalizzata la conoscenza al fine di realizzare un applicativo software dedicato alle specifiche richieste dei progettisti.Successful companies are those that have been able to improve human resources and that have created particular conditions to evolve and develop knowledge and know-how. This doesn’t happen by chance but begins when companies realize that knowledge is the greatest richness. These considerations are increasingly necessary when considering the evolution of the occidental economy and the difficulty to satisfy the increate of consumer’s demanding for lesser quantities of products but much more customizable. The challenge for Italian engineering enterprises is to sell quality products continuing to develop innovative solutions quickly, and keeping costs down. To win they have to invest in the most important part of an industrial companies: the design process, in order to ensure the future of the same company with dedicated strategies for innovation and technology. There isn’t a guide about optimization of a type of design, but there are many alternatives both commercial and customized to engineering and automatize the process of industrial design. In particular, within this research thesis has been analysed the state of the art on Knowledge Based Systems and their implementation issues. A deep analysis on the Knowledge Elicitation has been required to capture and then to formalize not only explicit knowledge but also the implicit and tacit one. With great care it has been generalized the typical design flow in order to find the critical points and to establish the bases on the introduction of improvement process. Three different levels of design methodologies have been proposed, one for each degree of automation. The basic level of automated design is based on the designer experience in which the same designers have a good level of engineering skills and basic computer skills through which they can develop little tools such as features libraries or customized tables variables to reduce repetitive tasks in the planning stage. Moving to a higher level of automation, the intermediate one, engineering skills of the designer must be more because the design is based on virtual prototyping, so on engineering use of commercial applications that automate calculations for the rapid physical assessment of the product. At the upper of automation, design is completely based on business knowledge implemented on dedicated software applications; then, in addition to engineering expertise, other skills are required on object- oriented programming and in particular expertise on the programming interfaces provided by many engineering software. Formulating the methodology of this thesis, many enterprises located in the region of Marche have been followed; however for the discussion only two of the most significant applicative examples have been reported. In the first test case a working methodology based on virtual prototyping has been evaluated and implemented, in the second case knowledge has been thoroughly formalized in order to realize a software application dedicated to the specific requirements of the designers.
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Cleland, Graham. "A generic approach to spatial engineering incorporating knowledge-based systems." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239690.
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Daizhong, Su. "Knowledge-based integrated system approach for an engineering design procedure." Thesis, University of Strathclyde, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334632.
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Mele, Mattia <1988>. "A Methodological Approach to Knowledge-Based Engineering Systems for Manufacturing." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amsdottorato.unibo.it/9237/1/Tesi_Mele_32_Ciclo.pdf.
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A survey of implementations of the knowledge-based engineering approach in different technological sectors is presented. The main objectives and techniques of examined applications are pointed out to illustrate the trends and peculiarities for a number of manufacturing field. Existing methods for the development of these engineering systems are then examined in order to identify critical aspects when applied to manufacturing.
A new methodological approach is proposed to overcome some specific limitations that emerged from the above-mentioned survey. The aim is to provide an innovative method for the implementation of knowledge-based engineering applications in the field of industrial production.
As a starting point, the field of application of the system is defined using a spatial representation. The conceptual design phase is carried out with the aid of a matrix structure containing the most relevant elements of the system and their relations. In particular, objectives, descriptors, inputs and actions are defined and qualified using categorical attributes.
The proposed method is then applied to three case studies with different locations in the applicability space. All the relevant elements of the detailed implementation of these systems are described. The relations with assumptions made during the design are highlighted to validate the effectiveness of the proposed method.
The adoption of case studies with notably different applications also reveals the versatility in the application of the method.
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Whiteley, James Robert. "Knowledge-based interpretation of process sensor patterns /." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487759436327217.
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Kim, Sang-Gook. "Knowledge based synthesis system for injection molding." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/88804.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1985.MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.
Includes bibliographical references.
by Sang-Gook Kim.
Ph.D.
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Haimowitz, Ira J. "Knowledge-based trend detection and diagnosis." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/35968.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.Includes bibliographical references (p. 167-181) and index.
by Ira Joseph Haimowitz.
Ph.D.
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Williamson-Taylor, Hezekiah O. O. "The application of knowledge based expert systems to mechanical engineering design." Thesis, Aston University, 1990. http://publications.aston.ac.uk/11888/.
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Investigation of the different approaches used by Expert Systems researchers to solve problems in the domain of Mechanical Design and Expert Systems was carried out. The techniques used for conventional formal logic programming were compared with those used when applying Expert Systems concepts. A literature survey of design processes was also conducted with a view to adopting a suitable model of the design process. A model, comprising a variation on two established ones, was developed and applied to a problem within what are described as class 3 design tasks. The research explored the application of these concepts to Mechanical Engineering Design problems and their implementation on a microcomputer using an Expert System building tool. It was necessary to explore the use of Expert Systems in this manner so as to bridge the gap between their use as a control structure and for detailed analytical design. The former application is well researched into and this thesis discusses the latter. Some Expert System building tools available to the author at the beginning of his work were evaluated specifically for their suitability for Mechanical Engineering design problems. Microsynics was found to be the most suitable on which to implement a design problem because of its simple but powerful Semantic Net Knowledge Representation structure and the ability to use other types of representation schemes. Two major implementations were carried out. The first involved a design program for a Helical compression spring and the second a gearpair system design. Two concepts were proposed in the thesis for the modelling and implementation of design systems involving many equations. The method proposed enables equation manipulation and analysis using a combination of frames, semantic nets and production rules. The use of semantic nets for purposes other than for psychology and natural language interpretation, is quite new and represents one of the major contributions to knowledge by the author. The development of a purpose built shell program for this type of design problems was recommended as an extension of the research. Microsynics may usefully be used as a platform for this development.
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Smith, Chrisopher Robert. "Paradigms for the design of multimedia learning environments in engineering." Thesis, University of Plymouth, 1996. http://hdl.handle.net/10026.1/342.
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The starting point for this research was the belief that interactive multimedia learning environments represent a significant evolution in computer based learning and therefore their design requires a re-examination of the underlying principles of learning and knowledge representation. Current multimedia learning environments (MLEs) can be seen as descendants of the earlier technologies of computer-aided learning (CAL), intelligent tutoring systems (ITS) and videodisc-based learning systems. As such they can benefit from much of the wisdom which emerged from those technologies. However, multimedia can be distinguished from earlier technologies by its much greater facility in bringing to the learner high levels of interaction with and control over still and moving image, animation, sound and graphics. Our intuition tells us that this facility has the potential to create learning environments which are not merely substitutes for "live" teaching, but which are capable of elucidating complex conceptual knowledge in ways which have not previously been possible. If the potential of interactive multimedia for learning is to be properly exploited then it needs to be better understood. MLEs should not just be regarded as a slicker version of CAL, ITS or videodisc but a new technology requiring a reinterpretation of the existing theories of learning and knowledge representation. The work described in this thesis aims to contribute to a better understanding of the ways in which MLEs can aid learning. A knowledge engineering approach was taken to the design of a MLE for civil engineers. This involved analysing in detail the knowledge content of the learning domain in terms of different paradigms of human learning and knowledge representation. From this basis, a design strategy was developed which matched the nature of the domain knowledge to the most appropriate delivery techniques. The Cognitive Apprenticeship Model (CAM) was shown to be able to support the integration and presentation of the different categories of knowledge in a coherent instructional framework. It is concluded that this approach is helpful in enabling designers of multimedia systems both to capture and to present a rich picture of the domain. The focus of the thesis is concentrated on the domain of Civil Engineering and the learning of concepts and design skills within that domain. However, much of it could be extended to other highly visual domains such as mechanical engineering. Many of the points can also be seen to be much more widely relevant to the design of any MLE.
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Karami, Daryoosh. "Knowledge-based software engineering : a software quality management expert system prototype." Thesis, University of Southampton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361657.
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Farzanegan, Akbar. "Knowledge-based optimization of mineral grinding circuits." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0027/NQ50158.pdf.
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Hilal, Daoud Kassem. "The circumstantial occurrence methodology : a proposed way forward in strategic knowledge engineering." Thesis, Cranfield University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282178.
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Plunkett, G. W. "A map/image congruency evaluation knowledge based system." Thesis, University of Ottawa (Canada), 1986. http://hdl.handle.net/10393/5136.
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Zhao, Wei. "Feature-Based Hierarchical Knowledge Engineering for Aircraft Life Cycle Design Decision Support." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14639.
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The design process of aerospace systems is becoming more and more complex. As the process is progressively becoming enterprise-wide, it involves multiple vendors and encompasses the entire life-cycle of the system, as well as a system-of-systems perspective. The amount of data and information generated under this paradigm has increased exponentially creating a difficult situation as it pertains to data storage, management, and retrieval. Furthermore, the data themselves are not suitable or adequate for use in most cases and must be translated into knowledge with a proper level of abstraction. Adding to the problem is the fact that the knowledge discovery process needed to support the growth of data in aerospace systems design has not been developed to the appropriate level. In fact, important design decisions are often made without sufficient understanding of their overall impact on the aircraft's life, because the data have not been efficiently converted and interpreted in time to support design.
In order to make the design process adapt to the life-cycle centric requirement, this thesis proposes a methodology to provide the necessary supporting knowledge for better design decision making. The primary contribution is the establishment of a knowledge engineering framework for design decision support to effectively discover knowledge from the existing data, and efficiently manage and present the knowledge throughout all phases of the aircraft life-cycle. The second contribution is the proposed methodology on the feature generation and exploration, which is used to improve the process of knowledge discovery process significantly. In addition, the proposed work demonstrates several multimedia-based approaches on knowledge presentation.
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Mohamed, Muhidin Abdullahi. "Automatic text summarisation using linguistic knowledge-based semantics." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6659/.
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Text summarisation is reducing a text document to a short substitute summary. Since the commencement of the field, almost all summarisation research works implemented to this date involve identification and extraction of the most important document/cluster segments, called extraction. This typically involves scoring each document sentence according to a composite scoring function consisting of surface level and semantic features. Enabling machines to analyse text features and understand their meaning potentially requires both text semantic analysis and equipping computers with an external semantic knowledge. This thesis addresses extractive text summarisation by proposing a number of semantic and knowledge-based approaches. The work combines the high-quality semantic information in WordNet, the crowdsourced encyclopaedic knowledge in Wikipedia, and the manually crafted categorial variation in CatVar, to improve the summary quality. Such improvements are accomplished through sentence level morphological analysis and the incorporation of Wikipedia-based named-entity semantic relatedness while using heuristic algorithms. The study also investigates how sentence-level semantic analysis based on semantic role labelling (SRL), leveraged with a background world knowledge, influences sentence textual similarity and text summarisation. The proposed sentence similarity and summarisation methods were evaluated on standard publicly available datasets such as the Microsoft Research Paraphrase Corpus (MSRPC), TREC-9 Question Variants, and the Document Understanding Conference 2002, 2005, 2006 (DUC 2002, DUC 2005, DUC 2006) Corpora. The project also uses Recall-Oriented Understudy for Gisting Evaluation (ROUGE) for the quantitative assessment of the proposed summarisers’ performances. Results of our systems showed their effectiveness as compared to related state-of-the-art summarisation methods and baselines. Of the proposed summarisers, the SRL Wikipedia-based system demonstrated the best performance.
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Liou, Shuh-Yuan. "Diecast : a knowledge based approach to die casting design /." The Ohio State University, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=osu1258487382.
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Hoyle, Damian R. "A business engineering approach to client relationship management in a knowledge based firm." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/63900/1/Damian_Hoyle_Thesis.pdf.
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This thesis examines Customer Relationship Management and how the capabilities of an organisation to innovate can be enhanced via its implementation in a Knowledge Based Firm. The research identifies current customer knowledge components within an organisation and identifies for future use, CRM components for implementation within a Knowledge Based Firm.
Opinions from a panel of experts' are identified for best practice customer relationship strategy, the most important CRM processes and identification of customer knowledge components that will form the basis of implementing a successful CRM to gain a competitive advantage through enhancing the innovative capability for a Knowledge Based Firm.
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Amidharmo, Suryanthono Surjo. "Critical success factors for the implementation of a knowledge management system in a knowledge-based engineering firm." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/68136/1/Suryanthono_Amidharmo_Thesis.pdf.
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This research identifies factors that are crucial to the success of a knowledge management system (KMS) implementation in a prominent Australian engineering consultancy firm. The study employs the Delphi method to solicit the opinions of experienced market leaders in the Australian construction industry, and then benchmarks the organisational profile of the consultancy firm against the Delphi findings. From this comparative case study, recommendations are made pertaining to the organisational and cultural changes required within the consultancy firm in order to improve its readiness to successfully implement a KMS.
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Sassine, Raymond M. "A knowledge-based system for integrating design tools." Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=41150.
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The complete design of many electromagnetic devices requires the solution of a coupled problem. Typically, the coupling is in the form of magnetic/thermal, magnetic/structural, magnetic/electronic, or possibly a combination of several disciplines. Computer based tools exist for many of these engineering specializations but they are usually "stand-alone" and each requires an experienced designer to use it effectively. This requirement for an expert user places a major constraint on the design cycle, and a lack of communication between the various experts can result in major design errors.This thesis proposes a software architecture that is capable of providing loose coupling between currently available design tools and of absorbing new tools in the future. The structure provides an integration environment for a suite of design programs. The environment automatically allows the iterative solution of coupled problems by loosely coupling individual tools through a comprehensive database and organizing their execution via a rule-based control program. In order to effectively integrate a diverse set of tools and to define the kind of coupling between the various analyses, it is necessary that the input and output requirements of each tool be carefully defined. The BlackBoard for Computational Analysis and Design (BBCAD) is a hybrid knowledge-based system which uses the blackboard architecture, and generates a systematic method of integrating the "stand-alone" design tools, together with an automatic method of ensuring that, if a change is made to the design, all the relevant design tools are re-run.
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Sugiono, Johanes Chandra. "Application development in a knowledge-based conceptual generator." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/37759.
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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1995.Includes bibliographical references (leaves 170-175).
by Johanes Chandra Sugiono.
M.S.
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Johansson, Christian. "Knowledge engineering in the virtual enterprise : exploring a maturity-based decision support." Licentiate thesis, Luleå : Luleå University of Technology, 2007. http://epubl.ltu.se/1402-1757/2007/64/.
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White, Andrew Murray. "The application of knowledge-based techniques to constraint management in engineering databases." Thesis, Georgia Institute of Technology, 1987. http://hdl.handle.net/1853/16894.
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Cooper, Stephen Christopher. "A knowledge-based engineering approach to the application of design for machining." Thesis, Cranfield University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284923.
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Jones, David. "Improving engineering information access and knowledge discovery through model-based information navigation." Thesis, University of Bristol, 2019. http://hdl.handle.net/1983/2d1c1535-e582-41fd-a6f6-cc1178c21d2a.
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An organisation's data, information, and knowledge is widely considered to be one of its greatest assets. As such, the capture, storage and dissemination of this asset is the focus of both academic and organisational efforts. This is true at the Airbus Group, the industrial partner of this thesis. Their Knowledge Management team invests in state-of-the-art tools and techniques, and actively participates in research in a bid to maximise their organisation's reuse of knowledge and ultimately their competitiveness. A successful knowledge management strategy creates a knowledgeable and wise workforce that ultimately benefits both the individual and the organisation. The dissemination of information and knowledge such that it is easily and readily accessible is one key aspect within such a strategy. Search engines are a typical means for information and knowledge dissemination yet, unlike the Internet, search within organisations (intranet or enterprise search) is frequently found lacking. This thesis contributes to this area of knowledge management. Research in the field of enterprise search has been shown to improve search through the application of context to expand search queries. The novel approach taken in this thesis takes this context and applies it visually, moving the search for information away from a text-based user interface towards a user interface that reflects the function and form of the product. The approach: model-based information navigation, is based on the premise that leveraging the visual and functional nature of engineers through a model-based user interface can improve information access and knowledge discovery. From the perspectives of information visualisation, engineering information management, product life-cycle management, and building information modelling, this thesis contributes through: The development of techniques that enable documents to be indexed against the product structure; The development of techniques for navigation within engineering three-dimensional virtual environments; The design of a range visual information object for the display of information within engineering three-dimensional virtual environments; The determination of the affordance of a model-based approach to information navigation. This thesis presents the development of a framework for model-based information navigation: a novel approach to finding information that places a three-dimensional representation of the product at the heart of searching document collections.
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Middaugh, Regina A. "A knowledge based expert system for analyzing welded structures." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36013.
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Tam, Heng Wa. "Knowledge-based intelligent photoshot-to-translation system." Thesis, University of Macau, 2005. http://umaclib3.umac.mo/record=b1692869.
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Ramanathan, Prasad P. "Diagnostic knowledge based systems for continuous chemical processes : enhanced knowledge acquisition and a generic problem-solving framework /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487841975360189.
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