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Dissertations / Theses on the topic 'Knowledge-based'
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Mohamud, Mohamed Omar. "The generation of knowledge in knowledge-based firms." Thesis, University of Leeds, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439583.
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Al-Jabir, Shaikha. "Terminology-based knowledge acquisition." Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/843300/.
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A methodology for knowledge acquisition from terminology databases is presented. The methodology outlines how the content of a terminology database can be mapped onto a knowledge base with a minimum of human intervention. Typically, terms are defined and elaborated by terminologists by using sentences that have a common syntactic and semantic structure. It has been argued that in defining terms, terminologists use a local grammar and that this local grammar can be used to parse the definitions. The methodology has been implemented in a program called DEARSys (Definition Analysis and Representation System), that reads definition sentences and extracts new concepts and conceptual relations about the defined terms. The linguistic component of the system is a parser for the sublanguage of terminology definitions that analyses a definition into its logical form, which in turn is mapped onto a frame-based representation. The logical form is based on first-order logic (FOL) extended with untyped lambda calculus. Our approach is data-driven and domain independent; it has been applied to definitions of various domains. Experiments were conducted with human subjects to evaluate the information acquired by the system. The results of the preliminary evaluation were encouraging.
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Srinivasan, Sriram. "Knowledge-based speech enhancement." Doctoral thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-456.
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Duh, Chinmiin. "Argumentation-based knowledge transformation." Thesis, Royal Holloway, University of London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251955.
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Murphy, Maureen T. "Knowledge-based technology transfer." Thesis, University of Ulster, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386271.
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Overington, John Paul. "Knowledge-based protein modelling." Thesis, Birkbeck (University of London), 1991. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715106.
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The automated protein modelling program COMPOSER is tested and improved. A test case of the model building of trypsin is described. Prior to the enhancements made to the program the RMSD of the automatically built model was 3.46A, after the improvements this figure is reduced to 1.58A. The program was applied to two ’real-life’ problems from the pharmaceutical industry. The first is the modelling of the serine proteinase domain of tissue-type plasminogen activator. Predictions are made as to residues likely to be important in binding specific endogenous inhibitors. The second example is the modelling of the proteinase from HIV-l on the basis of structures of the distantly related aspartic proteinases and later on the more similar structure of RSV proteinase. The model was later used in the molecular replacement derived solution of the x-ray structure of HIV -1 proteinase.
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Sharman, David Buchanan. "Knowledge based image processing." Thesis, University of Glasgow, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.257002.
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Brockmans, Sara. "Metamodel-based Knowledge Representation." [S.l. : s.n.], 2007. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000007322.
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Rivest, François. "Knowledge transfer in neural networks : knowledge-based cascade-correlation." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=29470.
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Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem. It contains a literature review of the relevant static and constructive neural network learning algorithms and of the recent research on transfer of knowledge across neural networks. Manuscript 1 describes a new algorithm, named knowledge-based cascade-correlation (KBCC), which extends the cascade-correlation learning algorithm to allow it to use prior knowledge. This prior knowledge can be provided as, but is not limited to, previously trained neural networks. The manuscript also contains a set of experiments that shows how KBCC is able to reduce its learning time by automatically selecting the appropriate prior knowledge to reuse. Manuscript 2 shows how KBCC speeds up learning on a realistic large problem of vowel recognition.
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Schmidt, Daniel P. "Identifying Knowledge Gaps Using a Graph-based Knowledge Representation." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1588866076446257.
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Stonehouse, George. "Knowledge based strategy : appraising knowledge creation capability in organisations." Thesis, Edinburgh Napier University, 2008. http://researchrepository.napier.ac.uk/Output/2446.
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This thesis sets out a journey which culminates in the development of an analytical framework, the "Organisational Creativity Appraisal" which is intended to assist organisations in evaluating their ability to support and develop creativity. This framework is derived from the common thread of the thesis, which is drawn from a range of research and consultancy projects, and the resulting published work, spanning an eight year period, centring on the role of knowledge and creativity in the strategy and performance of organisations. The literature of strategy, learning and creativity increasingly recognises that organisational context is critical to the formation of strategy, to the content of the strategy and to its successful implementation. The thesis explores the ways in which learning and creativity, the basis of knowledge-based strategy, are influenced by organisational context or social architecture. The research explores the ways in which managers can gain greater understanding of the social architectures of their organisations so as to assist in supporting their strategic development. The central core of the thesis is the nine published papers upon which it is based but it also derives from the broader perspective of my published work in the form of both articles and books. The thesis further draws upon my own experience as a leader and manager in the context of university business schools and as a consultant, researcher and developer in the context of a range of international private and public sector organisations. The work is based upon a premise that theory should inform practice and that practice should inform theory. The "Organisational Creativity Appraisal" framework is informed by both theory and practice and is intended to assist in management practice. There is no assumption that management research can arrive at prescriptions for managerial and organisational behaviour. On the other hand management research can usefully inform management and organisational behaviour, as long as it is employed in a critically reflective manner. The "Organisational Creativity Appraisal" presented in this work should be regarded as the framework in its present form which is likely to develop further as my research progresses in the future.
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Erdani, Yuliadi. "Acquisition of Human Expert Knowledge for Rule-based Knowledge-based Systems using Ternary Grid." Gerhard-Mercator-Universitaet Duisburg, 2005. http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-06282005-101136/.
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Knowledge acquisition is the most important part in the development of expert system. It deals with extracting knowledge from sources of expertise and transferring it to a knowledge base. Knowledge acquisition is major research field in knowledge engineering and still the most difficult and error-prone task for knowledge engineer while building an expert system. This situation influences the performance of the knowledge due to the quality of information and the reduction of error possibility. It is not an easy task to acquire knowledge from human expert not trained in knowledge engineering. The performance of the knowledge is performed by interaction between experts and knowledge engineer or machine during acquisition process. In most rule-based expert system, building of rules can easily be done. Knowledge Engineer or expert does not have to do any work specifying rules and how they are linked to each other. Sometime the knowledge engineer or expert can reference rules or facts that have not yet been created. It seems to be a simple and an instant work. The problem due to the performance of the knowledge will not occur until the number of rules is getting higher. Some problem may appear in the form of inconsistent rules, unreachable rules, redundant rule and rotating chain of rules. In order to solve that problem and to achieve that mentioned performance, a rule-based knowledge acquisition system using Ternary Grid is developed. This system acquires knowledge from human expert using grid or matrix system. Ternary Grid represents a model of rule-based knowledge in a grid or matrix format.
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Zhang, Kui. "Knowledge based image sequence compression." Thesis, University of Surrey, 1998. http://epubs.surrey.ac.uk/843195/.
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In this thesis, most commonly encountered video compression techniques and international coding standards are studied. The study leads to the idea of a reconfigurable codec which can adapt itself to the specific requirements of diverse applications so as to achieve improved performance. Firstly, we propose a multiple layer affine motion compensated codec which acts as a basic building block of the reconfigurable multiple tool video codec. A detailed investigation of the properties of the proposed codec is carried out. The experimental results reveal that the gain in coding efficiency from improved motion prediction and segmentation is proportional to the spatial complexity of the sequence being encoded. Secondly, a framework for the reconfigurable multiple tool video codec is developed and its key parts are discussed in detail. Two important concepts virtual codec and virtual tool are introduced. A prototype of the proposed reconfigurable multiple tool video codec is implemented. The codec structure and the constituent tools of the codec included in the prototype are extensively tested and evaluated to prove the concept. The results confirm that different applications require different codec configurations to achieve optimum performance. Thirdly, a knowledge based tool selection system for the reconfigurable codec is proposed and developed. Human knowledge as well as sequence properties are taken into account in the tool selection procedure. It is shown that the proposed tool selection mechanism gives promising results. Finally, concluding remarks are offered and future research directions are suggested.
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Bergman, Harris L. "Knowledge-based magnetic resonance angiography." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/18247.
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Frigerio, Eva. "Designing for knowledge-based industries." Thesis, Oxford Brookes University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294223.
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Lagos, Nikolaos. "Knowledge-based product support systems." Thesis, Cardiff University, 2007. http://orca.cf.ac.uk/54573/.
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This research helps bridge the gap between conventional product support, where the support system is considered as a stand-alone application, and the new paradigm of responsive one, where the support system frequently communicates with its environment and reacts to stimuli. This new paradigm would enable product support knowledge to be captured, stored, processed, and updated automatically, being delivered to the users when, where and in the form they need it. The research reported in this thesis first defines Product Support Systems (PRSSs) as electronic means that provide accurate and up-to-date information to the user in a coherent and personalised manner. Product support knowledge is then identified as the integration of product, task, user, and support documentation knowledge. Next, the thesis focuses on an ontology-based model of the structure, relations, and attributes of product support knowledge. In that model product support virtual documentation (PSVD) is presented as an aggregation of Information Objects (IOs) and Information Object Clusters (IOCs). The description of PSVD is followed by an analysis of the relation between IOs, IOCs, and domain knowledge. Then, the thesis builds on the ontology-based representation of product support knowledge and explores the synergy between product support, problem solving, and knowledge engineering. As a result, a structured problem solving approach is introduced that combines case-based adaptation and model-based generation techniques. Based on that approach a knowledge engineering framework for product support systems is developed. A conceptual model of context-aware product support systems that extends the framework is then introduced. The conceptual model includes an ontology-based representation of knowledge related to the users, their activities, the support environment, and the device being used. An approach to semi-automatically integrating design and documentation data is also proposed as part of context-aware product support systems development process.
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Liu, Huimin. "Knowledge-based inventive conceptual design." Thesis, Cardiff University, 2007. http://orca.cf.ac.uk/54627/.
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Conceptual design is the first phase of the design process. Most basic functions of a new product and the solutions for solving design problems are generated in this critical phase, which will affect the attributes in the later detailed design process. Conceptual design, especially the process of concept generation, is an innovation process that is achieved by human intelligence. The intuition and experience of designers play a significant role during the design process which is hard to be replaced by computer-aided tools or artificial intelligence technology. TR1Z is an inventive problem-solving tool to help people improve creativity. It is applied in this work to generate creative design concepts. The TRIZ inventive principles are extended by integrating other TRIZ tools and TRIZ-derived tools. These principles are also restructured by the inspiration of I-Ching. The Behaviour-Entity representation of inventive principles enables the generation of new and innovative solutions based on TRIZ. The TRIZ Contradiction Matrix (CM) and inventive principles are then used to develop the TRIZ-based concept generation approach by adding constraints to the standard Behaviour-Entity representation of TRIZ. This approach is developed to retrieve modified TRIZ inventive principles and to generate new solutions by re-organising the BEC (Behaviour-Entity-Constraint) representation of principles according to the conflicting design requirements. Finally, a negotiation-based approach is integrated with an existing no-compromise approach to develop a knowledge-based system for automatically detecting and resolving conflicts. The recommendation is given as an output arranged by weight to help the designer improve creativity and efficiency for concept generation and conflict resolution in conceptual design. The approach is implemented by using a rule-based language, JESS. A case study of aircraft fuselage layout design is presented to demonstrate the benefits of using this conflict resolution system.
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Schiffel, Stephan. "Knowledge-Based General Game Playing." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-88742.
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The goal of General Game Playing (GGP) is to develop a system, that is able to automatically play previously unseen games well, solely by being given the rules of the game.
In contrast to traditional game playing programs, a general game player cannot be given game specific knowledge.
Instead, the program has to discover this knowledge and use it for effectively playing the game well without human intervention.
In this thesis, we present a such a program and general methods that solve a variety of knowledge discovery problems in GGP.
Our main contributions are methods for the automatic construction of heuristic evaluation functions, the automated discovery of game structures, a system for proving properties of games, and symmetry detection and exploitation for general games.
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Du, Kui-Fu. "Knowledge-based well test interpretation." Thesis, Heriot-Watt University, 1990. http://hdl.handle.net/10399/895.
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Charalambous, Odysseas. "Knowledge based job-shop scheduling." Thesis, University of Manchester, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296437.
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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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Zaragoza, Rios Jaime Alberto. "Declarative modeling based on knowledge." Toulouse 3, 2009. http://thesesups.ups-tlse.fr/778/.
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Les nouvelles technologies de l'image 3D permettent la création de mondes virtuels et des créatures qui les peuplent avec un tel niveau de détails, que pour les effets spéciaux de cinéma, il est difficile de distinguer les éléments sont générés par ordinateur. Cependant, cette technologie est dans les mains habiles de designers, artistes et programmeurs, pour lesquels il faut des semaines à plusieurs années pour se former aux outils et obtenir ces résultats. La Modélisation Déclarative est une méthode qui permet de créer des modèles en fournissant les propriétés donnant la description des composants du modèle. Appliquée à l’infographie, la modélisation déclarative est utilisée pour générer le monde virtuel, en déterminant le contexte nécessaire à l'animation et à la conception de la scène, en calculant la position de chaque objet relativement aux relations spatiales, et en générant le rendu de la scène, utilisé par une système d'animation et de visualisation. Ce mémoire présente les travaux de recherche consacrés à l'utilisation de la modélisation déclarative pour créer des environnements virtuels, en tirant partie des connaissances sur le contexte de la scène. Les connaissances sont utilisées afin de faciliter la tâche de description, en automatisant ce qui peut être déduit, comme les usages et les fonctionnalités habituelles. Elles sont également fondamentales pour que le résultat produit corresponde le mieux possible à ce qui est attendu par le concepteur à partir de la description fournie. Les connaissances sont enfin nécessaires pour faciliter la transition entre le modèle de données et l'architecture qui aura la charge d'animer et de faire évoluer la scèneModern technology has allowed the creation and presentation or VirtualWorlds and creatures with such a high level of detail, that when used in movies, sometimes it is difficult to tell which elements arecomputer-generated and which not. Also, video-games had reached a level close to photographicrealism. However, such technology is at the hands of skillful designer, artists, and programmers, for whom ittakes from weeks to years to complete these results. Declarative modeling is a method which allows to create models specifying just a few properties for the model’s components. Applied to VW creation, declarative modeling can be used to construct theVW, establishing the layout for the objects, generating the necessary context to provide animation and scene design, and generate the outputs used by a visualization/animation system. This document present a research devoted to explore the use of declarative modeling to create VirtualEnvironments, using knowledge exploitation to support the process and ease the transition from the data model to an underlaying architecture which take the task of animating and evolving the scene
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Datta, Roshni. "Knowledge-Based Performance Management Framework." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293725862.
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O'Reilly, Una-May Carleton University Dissertation Computer Science. "Using case-based reasoning for knowledge-based assistance." Ottawa, 1990.
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Conlon, Thomas Hugh. "Beyond rules : development and evaluation of knowledge acquisition systems for educational knowledge-based modelling." Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/7514.
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The technology of knowledge-based systems undoubtedly offers potential for educational modelling, yet its practical impact on today's school classrooms is very limited. To an extent this is because the tools presently used in schools are EMYCIN -type expert system shells. The main argument of this thesis is that these shells make knowledge-based modelling unnecessarily difficult and that tools which exploit knowledge acquisition technologies empower learners to build better models. We describe how such tools can be designed. To evaluate their usability a model-building course was conducted in five secondary schools. During the course pupils built hundreds of models in a common range of domains. Some of the models were built with an EMYCIN -type shell whilst others were built with a variety of knowledge acquisition systems. The knowledge acquisition systems emerged as superior in important respects. We offer some explanations for these results and argue that although problems remain, such as in teacher education, design of classroom practice, and assessment of learning outcomes, it is clear that knowledge acquisition systems offer considerable potential to develop improved forms of educational knowledge-based modelling.
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Yoon, Changwoo. "Domain-specific knowledge-based informational retrieval model using knowledge reduction." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011560.
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Newcomb, Philip H. "The Knowledge Integration Tool : a knowledge based system development environment." Virtual Press, 1988. http://liblink.bsu.edu/uhtbin/catkey/546143.
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The current generation of conventional software productivity tools is likely to achieve at most a factor of two reduction in life-cycle costs by the early 1990s. With projected order of magnitude increases in system complexity and size, a far greater improvement (factor of 10 or higher) is needed. Significant cost reductions and qualitative improvements for many kinds of applications can be demonstrated by means of a knowledge-based integrated tool environment that both adheres to the software development standards of the software development organization and promotes rapid development of high quality knowledge-based systems and their integration within highly specialized application environmentsThis investigation has led to the construction of the (K)nowledge (I)ntegration (T)ool, an operational testbed and architectural framework for the rapid development of highly extensible artificial intelligence systems and environments that both support the conventional life-cycle paradigm and facilitate the evolution of a knowledge-based life-cycle paradigm. A knowledge-based system is a programming system characterized by the ease with which objects, the relationships between them, and higher-level concepts composed of such objects and relationships, are manipulated and presented graphically and textually. The KIT consists of: knowledge-based integrated tool environments, integrated assemblages of knowledge-based systems that possess a man-machine interface that adjusts to the needs of individual users by means of user-profile and application-specific information; and a knowledge-based based system development environment, a knowledge-based system that supports the construction and maintenance of software systems, and acts as a mechanism to improve the reliability of the software development process. This thesis describes the synthesis of these system types in the KIT.Following the KIT's successful prototyping and demonstration, it is being scaled up and incrementally developed to provide life-cycle automation capabilities for a roboticized factory of a major aerospace company. In this thesis the historical and theoretical foundations, capabilities, current and planned uses of the KIT are described.Key Words: Artificial Intelligence, Knowledge Base, Life-cycle Automation, Knowledge-Based Environment, Knowledge-Based Systems, Knowledge-Based Project Management, Knowledge-Based Configuration Management, Knowledge-Based System Development, Knowledge-Based Software Engineering.Department of Computer Science
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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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Efthymiadis, Kyriakos. "Knowledge-based reward shaping with knowledge revision in reinforcement learning." Thesis, University of York, 2014. http://etheses.whiterose.ac.uk/9166/.
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Reinforcement learning has proven to be a successful artificial intelligence technique when an agent needs to act and improve in a given environment. The agent receives feedback about its behaviour in terms of rewards through constant interaction with the environment and in time manages to identify which actions are more beneficial for each situation. Typically reinforcement learning assumes the agent has no prior knowledge about the environment it is acting on. Nevertheless, in many cases (potentially abstract and heuristic) domain knowledge of the reinforcement learning tasks is available by domain experts, and can be used toimprove the learning performance. One way of imparting knowledge to an agent is through reward shaping which guides an agent by providing additional rewards. One common assumption when imparting knowledge to an agent, is that the domain knowledge is always correct. Given that the provided knowledge is of a heuristic nature, there are cases when this assumption is not met and it has been shown that in cases where the provided knowledge is wrong, the agent takes longer to learn the optimal policy. As reinforcement learning methods are shifting more towards informed agents, the assumption that expert domain knowledge is always correct needs to be relaxed in order to scale these methods to more complex, real-life scenarios. To accomplish that, the agents need to have a mechanism to deal with those cases where the provided expert knowledge is not perfect. This thesis investigates and documents the adverse effects erroneous knowledge can have to the learning process of an agent if care is not taken. Moreover, it provides a novel approach to deal with erroneous knowledge through the use of knowledge revision principles, in order to allow agents to use their experiences to revise knowledge and thus benefit from more accurate shaping. Empirical evaluation shows that agents that are able to revise erroneous parts of the provided knowledge, can reach better policies faster when compared to agents that do not have knowledge revision capabilities.
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Gillies, Alan Cameron. "A problem solving strategy based on knowledge-based systems." Thesis, University of Central Lancashire, 1992. http://clok.uclan.ac.uk/19013/.
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The historical development of knowledge based systems (KBS) from artificial intelligence (AT) has led to a number of characteristics which isolate knowledge based systems from the rest of software development. In particular, it has led to the growth of 'stand alone' systems. This thesis argues that this has restricted the use of KBS to a narrow range of problems, and has reduced the effectiveness of the consequent solutions. By considering first a specific problem in some depth, the thesis seeks to develop an alternative approach, where KBS is considered as simply another software technology to be used within an integrated solution. The problem considered is the automatic analysis of photoelastic fringe patterns, and KBS methods are employed alongside conventional image processing techniques to produce an integrated solution. The conventional algorithmic solution is first constructed and evaluated. This solution, having proved partially successful, is then enhanced by the use of KBS techniques to provide a full solution. From this specific example, a framework for integration is derived. This framework is tested in an unrelated application to consider whether the approach adopted has more general utility than one specific class of problem. This problem was the provision of decision support for business planning based upon market research. The resulting strategy and design is described together with details of how the system was implemented under the supervision of the author. The thesis concludes with an evaluation of the work and its conthbution to knowledge in the twin areas of the specific solutions and the underlying methods.
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Niu, Bingyu, and Sisi Yan. "Knowledge transfer in project-based environments : The barriers of knowledge transfer." Thesis, Linköpings universitet, Företagsekonomi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78792.
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Background: Nowadays, projects become the common way of working in manycompanies. Knowledge management is important for efficient project management.Knowledge transfer in project-based environments became an attractive and importanttopic for study. Various barriers and challenges will appear during the process ofknowledge transfer in projects. Lots of authors thought the barriers of knowledgetransfer in project are negative, while others mentioned that some barriers may havepositive aspects. We called these two kinds of barriers “positive barriers” and“negative barriers” in this thesis. Purpose: The purpose of this thesis is to understand knowledge transfer inproject-based environments. Specifically, we aim to explain that barriers ofknowledge transfer in projects can be both negative and positive. Method: Due to the special time period and activity limitation, we chose case studyto gain the empirical data. When choosing the sample, we used the conveniencesampling. The sample chosen is a project team in Ericsson of Linköping. The projectmanager we interviewed has worked in Ericsson since 2004 and with his presentproject team for four years. He has already done more than fifteen projects, so he hasenough experience in projects for our study. We combined both inductive anddeductive approach strategies to analyze our thesis. Result: This thesis has answered the questions in the part of specified questions andreached the thesis purpose. It has explained the notion of knowledge transfer inprojects and its related barriers. It interprets how both negative and positive barriersaffect knowledge transfer. Furthermore, this thesis points out some suggestions forimproving positive barriers and reducing negative barriers.
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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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Kang, Seung Hwan. "Intelligent knowledge acquisition using case-based reasoning knowledge sharing and reuse /." Access electronically, 2003. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20050310.145300/index.html.
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Wang, Chun-Yen. "Knowledge-Based Design: Networked and Visualized Knowledge for Improved Product Development." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1394804762.
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Kandyba, Oleh Carleton University Dissertation Engineering Electrical. "A Functional architecture to support knowledge sharing among knowledge based systems." Ottawa, 1989.
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Na, Seunguk. "Knowledge management : an exploration of knowledge sharing within project-based organisations." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/knowledge-management-an-exploration-of-knowledge-sharing-within-projectbased-organisations(0d4ec79c-4bd9-4959-938a-4dc370925051).html.
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For several years, knowledge has been treated as a key successful resource in business and management. As knowledge management has been researched in various research domains, academics in project management have been also interested in the potential role of knowledge management. The aim of the research is to explore the usefulness and potentiality of knowledge management as well as to confirm the influencing elements of knowledge sharing within project-based organisations. This research implemented a qualitative research method which prompted an in-depth understanding of individual members’ perceptions towards knowledge sharing in project teams. In order to fulfil the methodological objective, the data were collected by using semi-structured interviews with 26 project managers from five project-based firms. The grounded theory method was adopted as the data analysis technique of this study. It allowed the researcher to explore and analyse the individuals’ perceptions of knowledge sharing and knowledge management. As a result, this study suggests four potential influencing factors of knowledge sharing, which are trust, relationship, motivation, and self-efficacy. The research data show that trust plays a role as a basic currency between members to share knowledge. Positive and affirmative relationships with other members will make it easy to share more knowledge and lead to better quality of knowledge. In this research, the informants also imply that members would be motivated to engage in knowledge sharing in respect to workload, culture, and remuneration. Lastly, one’s belief that one can achieve certain things -self-efficacy- is also important to create improved knowledge sharing between members in project teams. The research found that the majority of the companies managed their knowledge and carried out knowledge sharing activities. However, most of them did not recognise that their behaviours were relevant to knowledge management. In this research, the author suggests that confirming precedent knowledge management and knowledge sharing activities should occur prior to adopting new approaches. Furthermore, this research explores the potential influencing factors that play a role as either enablers or barriers. Thus, project managers and management should be cautious and ensure that influencing factors are equally balanced. Due to the nature of qualitative research methods, the sample size is relatively small compared to quantitative methods such as a survey and a questionnaire. As a result, future studies will consider more data in order to enhance further applicability and utilisation of the research.
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Huuskonen, Pertti J. "Model-based explanation of plant knowledge /." Espoo : Technical Research Centre of Finland, 1997. http://www.vtt.fi/inf/pdf/publications/1997/P308.pdf.
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Wang, Jim. "A knowledge-based spectroscopic assignment system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq23842.pdf.
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Karnan, Sathia Murthy. "Knowledge based communication in autonomous agents." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ56334.pdf.
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Reid, Douglas. "Knowledge retention in computer-based training." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ65050.pdf.
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Wang, Xuefeng. "Knowledge-based urban development in China." Thesis, University of Newcastle Upon Tyne, 2009. http://hdl.handle.net/10443/1035.
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This Thesis starts with a conceptual exploration of broad disciplines related to the emerging field of Knowledge-Based Urban Development (KBUD) , upon which it developed understanding of the holistic meaning of KBUD. It argues that the need for knowledge for KBUD should include all types of knowledge - the wisdom - and that KBUD, in particular knowledge city, is to enhance urban social, economic, cultural, and environmental sustainability in a balanced manner. The fundamental of knowledge city lies on its justice and inclusion, which is developed equally for all. Building upon the theoretical arguments it made, this research developed an analytical framework for analysing knowledge city. By applying the framework to both international KBUD initiatives and the Chinese case studies, it found that although there seems to be a general trend that suggests that the cities in developed countries have comparative advantages in transforming into knowledge city, the state of development is by no means the determining condition for a city to develop towards KBUD. Rather, the making of knowledge city relies on the ability to engage people of the whole community to establish an efficient institutional mechanism and develop an appropriate policy framework, which encourages and facilitates the creation of a cohesive knowledge environment, especially upgrading the city's knowledge base and fostering a cohering knowledge culture, to mobilise and apply all types of knowledge to serve and rule urban development behaviour so that it corresponds fully to the needs of enhancing the city's social, economic, cultural, and environmental sustainability. The empirical evidence from the Chinese case studies also suggests that the very recent change of China's development ideology, which calls for the development of a "harmonious society" following the "scientific development concept" approach, is meaningful, from the KBUD perspective, only if they are conducive to making connection with and adopted for coordinating localised knowledge creation, transmission and utilisation, which are regulated for the great collective interests, in other words, for people of the whole community, for social equity and inclusion. This thesis ends with offering some recommendations both for China's urban development policy and directions of future research.
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de, Silva C. W. "Knowledge-based control of robotic manipulators." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.598455.
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The work described here considers the integration of knowledge-based soft control with hard control algorithms. Specifically, the development of a knowledge-based controller for robotic manipulators is addressed. Servo control alone is known to be inadequate for high-speed high-precision robots. Furthermore, knowledge-based control such as fuzzy control, when directly included in the servo loop, has produced unsatisfactory performance in research robots. These considerations along with the fact that human experts can very effectively perform tuning functions in process controllers, form the basis for the control structure proposed in this work. The proposed control structure consists of a three-level hierarchy. The lowest level has a set of PID controllers closed around a high-speed decoupling and linearising controller. A recursive algorithm has been developed for implementation of this nonlinear feedback controller. The second level contains a set of knowledge-based controllers known as servo experts. There is one servo expert for each degree of freedom of the robot. A servo expert is a knowledge system of the forward production type. It monitors the corresponding joint response and makes inferences on the basis of a set of performance specifications. These inferences are supplied to the fuzzy controller at Level 3. The knowledge base of the fuzzy controller consists of expert knowledge in the form of linguistic rules for servo tuning. These rules are expressed as fuzzy decision tables by using membership functions of the condition and action variables, fuzzy logic, and the compositional rule of inference. This knowledge, along with external sensory data and other available information, is used to arrive at tuning decisions for the PID controllers. Control specifications, parameters of the decoupling controller, and the rule bases themselves can be modified as well, using this type of knowledge, at the fuzzy control level. Separation of the knowledge-based control into two levels, with the lower level functioning as an intelligent preprocessor and the upper level containing a fuzzy knowledge base that is representative of expert knowledge in servo tuning, is an important characteristic of the proposed control structure. The background work of the present research includes a thorough literature review on hard algorithmic control and knowledge-based soft control of robotic manipulators. Theory, concepts, and procedures for developing each level in the proposed hierarchical control structure, have been established. As an application of the proposed control structure, a knowledge-based control system has been developed for a two-degree-of-freedom robot. The system contains a servo expert for each joint of the robot, developed using a commercially available Al toolkit (MUSE). The unstructured code in the servo experts was written in PopTalk language and the structured code was developed using the editor-tool facility of MUSE. The fuzzy controller was developed off line and it has been implemented as a set of decision tables. A robot simulator was developed as a separate UNIX process written in C language. The simulator has been interfaced with the servo experts and with the fuzzy controller using the UNIX Socket facility, and the Channel objects and Data Stream objects that are available with the Al toolkit. Data channel programs were written in PopTalk. Performance of the overall system was evaluated using simulation experiments. Simulation experiments which were carried out included single-joint tests with step, ramp, and sine inputs. Results have demonstrated the superiority of the proposed control approach in comparison with conventional control without knowledge-based tuning. Simulations of a series of seam tracking tasks were carried out with the complete robot. Initial position errors were introduced and acceleration disturbances were injected during operation, fast negotiation of a corner, and operation under an imperfect nonlinear feedback controller. In each simulation, superior results were achieved with the proposed controller, in comparison to a conventional controller. Even though the performance generally improved with the bandwidth of the knowledge-based controller, a bandwidth of at least an order of magnitude smaller than the servo bandwidth consistently provided good performance. The controller was also found to be robust in the sense of having relative insensitivity to initial values, and other parameter values of the controller.
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Truong, Quoc Hung. "Knowledge-based 3D point clouds processing." Phd thesis, Université de Bourgogne, 2013. http://tel.archives-ouvertes.fr/tel-00977434.
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The modeling of real-world scenes through capturing 3D digital data has proven to be both useful andapplicable in a variety of industrial and surveying applications. Entire scenes are generally capturedby laser scanners and represented by large unorganized point clouds possibly along with additionalphotogrammetric data. A typical challenge in processing such point clouds and data lies in detectingand classifying objects that are present in the scene. In addition to the presence of noise, occlusionsand missing data, such tasks are often hindered by the irregularity of the capturing conditions bothwithin the same dataset and from one data set to another. Given the complexity of the underlyingproblems, recent processing approaches attempt to exploit semantic knowledge for identifying andclassifying objects. In the present thesis, we propose a novel approach that makes use of intelligentknowledge management strategies for processing of 3D point clouds as well as identifying andclassifying objects in digitized scenes. Our approach extends the use of semantic knowledge to allstages of the processing, including the guidance of the individual data-driven processing algorithms.The complete solution consists in a multi-stage iterative concept based on three factors: the modeledknowledge, the package of algorithms, and a classification engine. The goal of the present work isto select and guide algorithms following an adaptive and intelligent strategy for detecting objects inpoint clouds. Experiments with two case studies demonstrate the applicability of our approach. Thestudies were carried out on scans of the waiting area of an airport and along the tracks of a railway.In both cases the goal was to detect and identify objects within a defined area. Results show that ourapproach succeeded in identifying the objects of interest while using various data types
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Baharin, Shamsuddin. "Knowledge-based automatic tolerance analysis system." Thesis, University of Warwick, 1994. http://wrap.warwick.ac.uk/51314/.
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Tolerance measure is an important part of engineering, however, to date the system of applying this important technology has been left to the assessment of the engineer using appropriate guidelines. This work offers a major departure from the trial and error or random number generation techniques that have been used previously by using a knowledge-based system to ensure the intelligent optimisation within the manufacturing system. A system to optimise manufacturing tolerance allocation to a part known as Knowledge-based Automatic Tolerance Analysis (KATA) has been developed. KATA is a knowledge-based system shell built within AutoCAD. It has the ability for geometry creation in CAD and the capability to optimise the tolerance heuristically as an expert system. Besides the worst-case tolerancing equation to optimise the tolerance allocation, KATA's algorithm is supported by actual production information such as machine capability, types of cutting tools, materials, process capabilities etc. KATA's prototype is currently able to analyse a cylindrical shape workpiece and a simple prismatic part. Analyses of tolerance include dimensional tolerance and geometrical tolerance. KATA is also able to do angular cuts such as tapers and chamfers. The investigation has also led to the significant development of the single tolerance reference technique. This method departs from the common practice of multiple tolerance referencing technique to optimise tolerance allocation. Utilisation of this new technique has eradicated the error of tolerance stackup. The retests have been undertaken, two of which are cylindrical parts meant to test dimensional tolerance and an angular cut. The third is a simple prismatic part to experiment with the geometrical tolerance analysis. The ability to optimise tolerance allocation is based on real production data and not imaginary or random number generation and has improved the accuracy of the expected result after manufacturing. Any failure caused by machining parameters is cautioned at an early stage before an actual production run has commenced. Thus, the manufacturer is assured that the product manufactured will be within the required tolerance limits. Being the central database for all production capability information enables KATA to opt for several approaches and techniques of processing. Hence, giving the user flexibility of selecting the process plan best suited for any required situation.
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Pilkington, R. "Knowledge-based systems in topic learning." Thesis, University of Leeds, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380324.
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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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JUNIOR, LUCIANO R. CHAGAS COSTA. "KNOWLEDGE BASED FOR HYDROELECTRIC MACHINES DIAGNOSIS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1996. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9020@1.
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CENTRO DE PESQUISA DE ENERGIA ELÉTRICAO Sistema elétrico brasileiro é baseado quase que integralmente em energia produzida por Usinas Hidroelétricas. Estas Máquinas Hidroelétricas possuem um comportamento diferenciado das máquinas turbo geradoras, cujo comportamento já foi identificado e classificado em pesquisas anteriores. Este trabalho investiga o uso de um Sistema baseado em Conhecimento para o diagnóstico precoce de falhas em Máquinas Hidrogeradoras, visando redução de custos advindos principalmente de paradas operacionais não necessárias na máquina para manutenção. O sistema foi criado com informação obtida a partir dos seguintes meios: sistemática de manutenção executada nas Usinas Hidroelétricas, através de entrevistas à equipe responsável pela manutenção da usina de Furnas (MG); da identificação do comportamento eletromecânico da máquina; e do estudo de casos. O Sistema é capaz de identificar, a partir dos sensores localizados nas máquinas, eventuais falhas, permitindo executar paradas programadas de maneira otimizada. Foi criado um protótipo de um sistema computacional baseado em Conhecimento implementando tal modelo de forma bem flexível. A modelagem criada, a implementação do protótipo computacional e, principalmente, a explicação do raciocínio empregado, agregado com a possibilidade da modificação do conhecimento através da aquisição automática, são contribuições inovadoras deste trabalho. É descrito o Domínio do Problema de diagnosticar falhas em Máquinas Hidrogeradoras, identificado durante análise das informações coletadas da equipe de manutenção na usina de Furnas e de especialistas no comportamento eletromecânico das máquinas. É descrito também o modelo simbólico criado, representativo do domínio, utilizando interface projetada, visando a implementação prática nas usinas. É apresentado uma solução de desacoplamento das informações advindas dos sensores eletromecânicos da máquina e o sistema, através de módulo baseado em Lógica Nebulosa (Fuzzy Logic) que converte as informações numéricas em informações simbólicas compreendidas pelo sistema de diagnóstico, permitindo o uso do sistema, sem alteração em máquinas que possuam características diversas. Finalmente, é apresentada a metodologia de testes adotada para validação do modelo implementado através da simulação de dados de vibração e oscilação, cujo relacionamento com eventuais falhas é parcialmente conhecido, assim como uma conclusão sobre a viabilidade e praticidade de um modelo simbólico na solução do diagnóstico das máquinas hidrogeradoras. Durante o desenvolvimento da tese verificou-se que o conhecimento sobre falhas em Máquinas Hidrogeradoras ainda não está consolidado e que então, um Sistema baseado em Conhecimento com aquisição de conhecimento automático mostra-se uma excelente ferramenta de modelagem para os especialistas.
The Brazilian Electrical Energy supply is almost entirely based on the energy produced by the Hydroeletric Power Station Machines. These Hydroeletric Machines own particular behavior in comparison to the turbogenerator behavior. This work investigates the use of Knowledge based system Hydroeletric Machines fault diagnosis. The system was modeled using information obtained by: the maintenance s systematic executed Hydroeletric Power Stations, though Furnas (Minas Gerais) maintenance team interviews; the Machine electromechanical behavior; and a Case Based study. The system is able to identify, from machine located sensors data analysis, eventual faults, allowing the execution of programmed operational interrupts in the machine in a optimized manner. A computational prototype and, mainly, the interface explain engine in addition to the knowledge modification through acquisition, are the innovative contributions of this work. The machine fault diagnosis problem domain is described, identified in the information, collected from the maintenance team and the electromechanical behavior experts, analysis. It is also described the projected symbolic model, the domain representation, using graphical and friendly interface, aiming its practical implementation in real Power Stations. It is shown a sensor information detach solution, through a Fuzzy Logic based module which converts the numerical data in a symbolic one, known by the diagnosis system, allowing its use, without any modification, in a sort of different machines. Finally, it is shown the test methodology adopted for the prototype validation through oscillation data simulation, which relationship with machine faults is partially known, and the symbolic model praticality and feasibility in the Hidrogenerator Diagnosis solution. Through the thesis development, it was verified that the Hydrogenerator fault knowledge wasn t still consolidated. So, the Knowledge Based system with knowledge acquisition became an excelent modeling tool for the domain experts.
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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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Krishna, Bagepalli C. (Bagepalli Cheluva). "Layout understanding : a knowledge-based approach." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/62039.
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Nguyen, Hai Hoang. "Truth maintenance in knowledge-based systems." Thesis, University of Nottingham, 2014. http://eprints.nottingham.ac.uk/28434/.
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Truth Maintenance Systems (TMS) have been applied in a wide range of domains, from diagnosing electric circuits to belief revision in agent systems. There also has been work on using the TMS in modern Knowledge-Based Systems such as intelligent agents and ontologies. This thesis investigates the applications of TMSs in such systems. For intelligent agents, we use a “light-weight” TMS to support query caching in agent programs. The TMS keeps track of the dependencies between a query and the facts used to derive it so that when the agent updates its database, only affected queries are invalidated and removed from the cache. The TMS employed here is “light-weight” as it does not maintain all intermediate reasoning results. Therefore, it is able to reduce memory consumption and to improve performance in a dynamic setting such as in multi-agent systems. For ontologies, this work extends the Assumption-based Truth Maintenance System (ATMS) to tackle the problem of axiom pinpointing and debugging in ontology-based systems with different levels of expressivity. Starting with finding all errors in auto-generated ontology mappings using a “classic” ATMS [23], we extend the ATMS to solve the axiom pinpointing problem in Description Logics-based Ontologies. We also attempt this approach to solve the axiom pinpointing problem in a more expressive upper ontology, SUMO, whose underlying logic is undecidable.