This Diploma thesis is about using of expert systems in capacity management of existing virtual servers and it's optimization in company's environment.

Cette thèse propose un système d'aide à l'indexation et à la recherche de documents pédagogiques fondé sur l'utilisation de Wikipédia.l'outil d'aide à l'indexation permet de seconder les documentalistes dans la validation, le filtrage et la sélection des thématiques, des concepts et des mots-clés issus de l'extraction automatique d'un document. En effectuant une analyse des données textuelles d'un document, nous proposons au documentaliste une liste de descripteurs permettant de représenter et discriminer le document. Le travail du documentaliste se limite alors à une lecture rapide du document et à la sélection et suppression des descripteurs suggérés par le système pour rendre l'indexation homogène, discriminante et exhaustive. Pour cela nous utilisons Wikipédia comme base de connaissances. Le modèle utilisé pour l'extraction des descripteurs permet également de faire de la recherche d'information sur un corpus de document déjà indexé. / This thesis proposes an indexing suupport and information retrieval system for learning resources based on Wikipedia.The indexing support system assists the archivists in fetching the descriptors for a given document. The system analyses the textual content of the document and suggests to the archivists a set of relevant descriptors for this document. After a speed-reading of the document and superficail analysis, the archivists can validate, filter and select the descriptors they consider relevant. To perform this task, we decide to use Wikipedai as knowledge base. The suggest model also anables us to carry out information retrieval tasks on the previously analyzed documents of a corpus.

When medical researchers test a new treatment procedure, they recruit patients with appropriate health problems and medical histories. An experiment with a new procedure is called a clinical trial. The selection of patients for clinical trials has traditionally been a labor-intensive task, which involves matching of medical records with a list of eligibility criteria. A recent project at the University of South Florida has been aimed at the automation of this task. The project has involved the development of an expert system that selects matching clinical trials for each patient. If a patient's data are not sufficient for choosing a trial, the system suggests additional medical tests. We report the work on the representation and entry of the related selection criteria and medical tests. We first explain the structureof the system's knowledge base, which describes clinical trials and criteria for selecting patients. We then present an interface that enables a clinician to add new trials and selection criteria without the help of a programmer. Experiments show that the addition of a new clinical trial takes ten to twenty minutes, and that novice users learn the full functionality of the interface in about an hour.

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

During last couple of decades, the paid child care has become one of the central issues of feminist research. The agencies mediating child care are relatively the new actor in child care arrangements in the Czech Republic. This MA thesis argues that they not only fill the gap in the market by offering a child care. Above all, far from providing the simple supply that reacts to the demand on the market, the agencies create the demand for specific care. Drawing upon qualitative research conducted with owners of these agencies, the text looks into the ways how the child care is constructed. The analysis consists of two parts. In the first one the agencies are understood as expert systems generating specific trust. In the second part, the issues of qualified, specialized, and professionalized care are discussed. The thesis aims at showing that child care in the agencies is deconstructed as a natural female activity and is reconstructed as a gendered activity requiring particular skills that are submitted to professional screening.

The coronavirus (COVID-19) pandemic has caused severe adverse effects on the human life and the global economy affecting all communities and individuals due to its rapid spreading, increase in the number of affected cases and creating severe health issues and death cases worldwide. Since no particular treatment has been acknowledged so far for this disease, prompt detection of COVID-19 is essential to control and halt its chain. In this paper, we introduce an intelligent fuzzy inference system for the primary diagnosis of COVID-19. The system infers the likelihood level of COVID-19 infection based on the symptoms that appear on the patient. This proposed inference system can assist physicians in identifying the disease and help individuals to perform self-diagnosis on their own cases.

Many organizations have been attempting to build a conceptual framework for managing technology, with varying degrees of success. Most begin by consulting leading technology authorities, borrowing elements of their thinking, and adapting these elements to their organizational and personal situations. This dissertation extends this process by using the formal research methodology of multiple perspectives (technical, organizational, personal, and cross-cuing) to build a case-based model of the technology integration process. The research and the model construction benefits from a solid foundation established through a review of technology management and knowledge systems literature. The significant aspects of the research are tied to its objectives which can be divided into academic and industrial classifications: Academic Objectives: 1. Use multiple perspectives in real-time (for input to decisions as events unfold) 2. Focus on a multiple perspectives view of technology integration into an organization Industrial Objectives: 1. Improve project effectiveness by increasing understanding of the technology integration process 2. Establish a model for the integration of a new technology into an organization The development of the case-based model was the primary objective, with the other objectives providing the methodology and subject-matter content to support model development. These four objectives are of interest to three parties: scholars who are interested in the theoretical and methodological aspects of technology integration and inquiring systems, technology developers in general who can benefit from improved means to integrate technology and analyze success/failure, and technology developers in information systems organizations who can obtain specific insight as well as utilize the general industrial results. From the multiple perspectives investigation, thirteen conclusions were reached about the process of integrating knowledge systems into an information systems organization. These conclusions are specific to the case study, but may have general applicability. The multiple perspectives methodology is then presented as the foundation for a technology integration model, on which the technology usage phases of awareness, motivation, and functioning capability can be completed. The model is described and then illustrated with two knowledge systems development project cases. With regards to the research objectives, it is concluded that: 1. The use of multiple perspectives in real-time are difficult and requires practice 2. Because technology integration is dependent upon technical, organization, and personal factors, the use of multiple perspectives are appropriate and useful. Eight of 13 conclusions were dependent upon the cross-cuing process 3. Multiple perspective analysis improved the understanding of the technology integration process. This understanding was sometimes helpful and sometimes harmful to the effectiveness of the integration process 4. The proposed technology integration model, using the awareness, motivation, and functioning capability phases, was developed and exercised. This model proved useful in limited application Finally, a method for organizing and navigating the perspectives, cross-cuing, and conclusions is presented and used.

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This dissertation introduces a novel validation method for knowledge-based systems (KBS). Validation is an essential phase in the development lifecycle of knowledge-based systems. Validation ensures that the system is valid, reliable and that it reflects the knowledge of the expert and meets the specifications. Although many validation methods have been introduced for knowledge-based systems, there is still a need for an incremental validation method based on a lifecycle model. Lifecycle models provide a general framework for the developer and a mapping technique from the system into the validation process. They support reusability, modularity and offer guidelines for knowledge engineers to achieve high quality systems. CommonKADS is a set of models that helps to represent and analyze knowledge-based systems. It offers a de facto standard for building knowledge-based systems. Additionally, CommonKADS is a knowledge representation-independent model. It has powerful models that can represent many domains. Defining an incremental validation method based on a conceptual lifecycle model (such as CommonKADS) has a number of advantages such as reducing time and effort, ease of implementation when having a template to follow, well-structured design, and better tracking of errors when they occur. Moreover, the validation method introduced in this dissertation is based on case testing and selecting an appropriate set of test cases to validate the system. The validation method defined makes use of results of prior test cases in an incremental validation procedure. This facilitates defining a minimal set of test cases that provides complete and effective system coverage. CommonKADS doesn’t define validation, verification or testing in any of its models. This research seeks to establish a direct relation between validation and lifecycle models, and introduces a validation method for KBS embedded into CommonKADS