M.Ing. (Engineering Management) / The growing need for customized solutions and faster product delivery obliges the product development industry to develop new strategies that can enable the rapid and flexible design of products. Several design approaches have been developed to address this issue: one such is Knowledge-Based Engineering (KBE), which is a design technique that enables the automation of the design process. This approach consists of using computational intelligence to capture the design rules related to a product family in order to generate automatically customized designs adapted to particular customer requirements. Knowledge-Based Engineering is also used to facilitate the performance of design evaluation activities such as finite element analysis (FEA) and computational fluid dynamics (CFD) as part of multi-disciplinary design optimization (MDO). The application of this approach led to impressive results mostly in the automotive and aeronautical industry. Owing to this method, some companies manage to reduce the duration of the design process by 90%. Despite the excellent results obtained through the use of Knowledge-Based Engineering, there are still very few companies that make use of this approach in their design process. The review of the relevant literature showed that the lack of a standard easy-to-use methodology of implementation is one of the major obstacles to the expansion of Knowledge-Based Engineering. The knowledge processing phase constitutes one of the main challenges of the KBE implementation process. This phase consists of extracting and documenting the knowledge embedded in the design team in order to convert it in a programming code. Available methodologies such as MOKA and KNOMAD do not seem to provide easy-to-use methods to represent the design knowledge in a form that makes it easy to be programmed. The lack of a preliminary stage that justifies the adequacy of KBE for a particular design process is also an important gap identified in the literature.This dissertation discusses a detailed method that addresses issues related to knowledge processing and suitability analysis in KBE implementation. The knowledge processing method suggested is based on the Work Breakdown Structure (WBS) which is used widely in the system engineering approach and consists of a very logical classification of the design knowledge. The strength of this method lies in its ability to represent the design knowledge in a form that makes it understandable for both engineers and programmers. Appropriate representation of this sort shortens the duration of the knowledge processing and facilitates the knowledge programming phase. Regarding the rationale for choosing of KBE, a detailed suitability assessment method is proposed.

Dissertation (MEng)--University of Pretoria, 2005. / Chemical Engineering / unrestricted

The quest to build anthropomorphic machines has led researchers to focus on knowledge and the manipulation thereof. Recently, the expert system was proposed as a solution, working well in small, well understood domains. However these initial attempts highlighted the tedious process associated with building systems to display intelligence, the most notable being the Knowledge Acquisition Bottleneck. Attempts to circumvent this problem have led researchers to propose the use of machine learning databases as a source of knowledge. Attempts to utilise databases as sources of knowledge has led to the development Database-Driven Expert Systems. Furthermore, it has been ascertained that a requisite for intelligent systems is powerful computation. In response to these problems and proposals, a new type of database-driven expert system, Cogitator is proposed. It is shown to circumvent the Knowledge Acquisition Bottleneck and posess many other advantages over both traditional expert systems and connectionist systems, whilst having non-serious disadvantages. / KMBT_223

In this thesis a framework for Security Operation Centers (SOCs) is proposed. It was developed by utilising Systems Engineering best practices, combined with industry-accepted standards and frameworks, such as the TM Forum’s eTOM framework, CoBIT, ITIL, and ISO/IEC 27002:2005. This framework encompasses the design considerations, the operational considerations and the means to measure the effectiveness and efficiency of SOCs. The intent is to provide guidance to consumers on how to compare and measure the capabilities of SOCs provided by disparate service providers, and to provide service providers (internal and external) a framework to use when building and improving their offerings. The importance of providing a consistent, measureable and guaranteed service to customers is becoming more important, as there is an increased focus on holistic management of security. This has in turn resulted in an increased number of both internal and managed service provider solutions. While some frameworks exist for designing, building and operating specific security technologies used within SOCs, we did not find any comprehensive framework for designing, building and managing SOCs. Consequently, consumers of SOCs do not enjoy a constant experience from vendors, and may experience inconsistent services from geographically dispersed offerings provided by the same vendor.

No description available.

As part of an effort to develop an intelligent tutoring system, a set of knowledge representation frameworks was proposed to represent expert domain knowledge. A general representation of time points and temporal relations was developed to facilitate temporal concept deductions as well as facilitating explanation capabilities vital in an intelligent advisor system. Conventional representations of time use a single-referenced timeline and assigns a single unique value to the time of occurrence of an event. They fail to capture the notion of events, such as changes in signal states in microcomputer systems, which do not occur at precise points in time, but rather over a range of time with some probability distribution. Time is, fundamentally, a relative quantity. In conventional representations, this relative relation is implicitly defined with a fixed reference, "time-zero", on the timeline. This definition is insufficient if an explanation of the temporal relations is to be constructed. The proposed representation of time solves these two problems by representing a time point as a time-range and making the reference point explicit. An architecture of the system was also proposed to provide a means of integrating various modules as the system evolves, as well as a modular development approach. A production rule EXPERT based on the rule framework used in the Graphic Interactive LISP tutor (GIL) [44, 45], an intelligent tutor for LISP programming, was implemented to demonstrate the inference process using this time point representation. The EXPERT is goal-driven and is intended to be an integral part of a complete intelligent tutoring system. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate

This dissertation adopts an interdisciplinary approach to the field of law and artificial intelligence. It argues that the conceptual structuring of legal knowledge within an appropriate theoretical framework is of primary importance when building knowledge-based systems. While technical considerations also play a role, they must take second place to an in-depth understanding of the law. Two alternative methods of structuring legal knowledge in very different domains are used to explore the thesis. A deep-structure approach is used on nervous shock, a rather obscure area of the law of negligence. A script-based method is applied to impaired driving, a well-known part of the criminal law. A knowledge-based system is implemented in each area. The two systems, Nervous Shock Advisor (NSA) and Impaired Driving Advisor (IDA), and the methodologies they embody, are described and contrasted. In light of the work undertaken, consideration is given to the feasibility of lawyers without much technical knowledge using general-purpose tools to build knowledge-based systems for themselves. / Graduate and Postdoctoral Studies / Graduate

Orientador: Silvio Roberto Andrietta / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica / Made available in DSpace on 2018-08-07T23:09:28Z (GMT). No. of bitstreams: 1 Bassetto_NayaraZago_M.pdf: 1198826 bytes, checksum: cc10dd78f55da0ba496ff27d88b3e57b (MD5) Previous issue date: 2006 / Resumo: Neste trabalho foi desenvolvido o sistema especialista SEPPA para auxiliar no projeto de construção ou reforma de uma planta industrial para produção de álcool anidro e hidratado fazendo o dimensionamento dos equipamentos, especificando o consumo de energia, o consumo de água e a produção de vapor. Um sistema Especialista é um software que é projetado e desenvolvido para atender a uma aplicação determinada do conhecimento humano. É capaz de emitir uma decisão, apoiado em conhecimento justificado, a partir de uma base de informações, tal qual um especialista de determinada área do conhecimento humano. Uma vez que é gasto um grande tempo para realização dos cálculos de dimensionamento de equipamentos e que pessoas são suscetíveis a erros por diversos fatores, este trabalho será de grande auxílio a todos os profissionais que trabalham dimensionando equipamentos para produção de álcool diminuindo o tempo de cálculo e detalhamentos, garantindo a certeza e precisão em todas as respostas, preservando e reproduzindo o conhecimento do especialista da área em questão. Utilizou para desenvolvimento das telas de interface com o usuário a linguagem de programação Delphi 5.0 e para armazenamento de dados o sistema de banco de dados Interbase 6.0. O Delphi é uma linguagem de programação orientada a objetos, e nos permite trabalhar com a herança em telas proporcionando agilidade no desenvolvimento destas e na implementação de códigos em opções comuns a todos os formulários. O Interbase é um eficiente e seguro banco de dados Cliente/Servidor relacional. A base de conhecimento do sistema foi adquirida através da experiência acumulada de um Engenheiro Químico, este foi construído para processos contínuos e possui algoritmos contendo cálculos de balanço de massa, balanço de energia e equações cinéticas. Através dos testes realizados o software mostrou ser seguro e apto a projetar uma planta industrial, seus resultados foram coerentes com os dados obtidos através dos cálculos e especificações realizadas por meio de um projeto manual utilizando os mesmos parâmetros de entrada / Abstract: In this work it was developed a Expert System an help in the design to built-up or restaur of building or reform industrial plant for the production of anidro and hydrated alcohol defining the size of the equipments, specifying the energy and water consumption and the vapor production. An Expert System is a software projected and developed to attend a determined application and limited of the humans knowledge. It¿s able to emit a decision, supported at justified knowledge, from the base of information, exactly a specialist of a determined area of the human knowledge. The Expert System has its mechanism supported at the heuristic processes. The reasoning process is made the realization of the importance of the facts and comparing it with information contained in the knowledge accumulated about this facts and hypothesis. This reasoning is always based in the previous accumulated knowledge. A specialist with this process is not able to achieve a right decision if the facts that dispose to apply your previous knowledge are not sufficient, and can arrive at a wrong conclusion in function of many reasons. Since is spent a big time to perform the calculations for the dimensionation of equipments and that people are always susceptible at mistakes for many factors, this work will be of a significant help to all the professionals that working dimension at the equipments to the alcohol production diminishing the time of calculations and details, guaranteeing the right answer and the precision so, preserving and reproducing the specialist knowledge of the area in question. It was utilized for the development the Interface and the language of programation Delphi 5.0 and to the storage of data was used the database Interbase 6.0. Delphi is a language of programation oriented to objects, and it permits to work with the inheritance at hardware¿s providing agility in the development of this and the implementation of codes in common options at all the formularies. Interbase is an efficient and safe database Client/ Server. The base of knowledge of system was acquired through the experience accumulated of chemistry engineers in the design of continuous process and has algorithms containing of mass and energy balances as well as thus kinetic equation. Through the tests carried out the software showed be safe and apt to project an industrial plant, its results were coherent with the data obtained through calculus and specifications realized by means of a manual project using the same entrance parameter / Mestrado / Desenvolvimento de Processos Biotecnologicos / Mestre em Engenharia Química

Orientador: Marcio Luiz de Andrade Netto / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica / Made available in DSpace on 2018-07-13T23:17:40Z (GMT). No. of bitstreams: 1 Schiavini_MarcosMelo_M.pdf: 13404383 bytes, checksum: fe85c025b2fd3ced855421c365c05348 (MD5) Previous issue date: 1991 / Resumo: A tese apresenta uma contribuição para agilizar e organizar o processo de aquisição de conhecimento necessário ao desenvolvimento de sistemas Especialistas. Para tanto é descrita uma ferramenta computacional de auxilio ao processo de aquisição e engenharia de conhecimento - CAKE - que emprega um modelo do domínio durante sua interação com o especialista. O modelo é elaborado e representado com o auxílio do KADS, uma metodologia de construção de sistemas baseados em conhecimento [WIELINGA 89]. Com esse trabalho visamos obter uma ferramenta de aquisição de conhecimento que não apenas apresente as vantagens de empregar um modelo como também não tenha seu uso limitado a apenas um domínio particular. Para tanto concebemos uma ferramenta que deixa explícito o modelo utilizado para guiar o processo de aquisição de conhecimento. O engenheiro do conhecimento pode alterar a ferramenta para adequá-la às suas necessidades / Abstract: The theses presents a contribution to facilitate and to organize the knowledge acquisition process necessary in the development of Expert Systems. A computer aided knowledge acquisition and engineering tool - CAKE -that employs a domain model in its interaction with the expert is proposed. The model is constructed and represented with the help of KADS, a methodology to construct knowledge based systems [WIELINGA 89]. It is intended, with this work, to obtain a knowledge acquisition tool that not only has the advantages of using a model, but also does not have its applicability limited to a particular domain. For this purpose, we have conceived a tool that leaves explicit the model used in guiding the knowledge acquisition processo The knowledge engineer is able to modify the tool to make the necessary adaptations for his further needs / Mestrado / Mestre em Engenharia Elétrica

The purpose of this study is to create the prototype expert system, HEES, and to examine its usability and usefulness in evaluating hypertext software.