Thesis (M.F.A.)--Rochester Institute of Technology, 1994. / Typescript. Includes bibliographical references (leaves 33-40).

Thesis (M.S.)--The University of North Carolina at Greensboro, 2009. / Directed by Fereidoon Sadri; submitted to the Dept. of Computer Science. Title from PDF t.p. (viewed May 5, 2010). Includes bibliographical references (p. 32).

Data warehousing provides organizations with strategic tools to achieve the competitive advantage that organazations are constantly seeking. The use of tools such as data mining, indexing and summaries enables management to retrieve information and perform thorough analysis, planning and forcasting to meet the changes in the market environment. in addition, The data warehouse is providing security measures that, if properly implemented and planned, are helping organizations ensure that their data quality and validity remain intact.

This project was created to develop a database for students and teachers to allow accurate, efficient and reliable tracking of student's academic information. The database was designed specifically for faculty and students within the Master of Arts in Education, Instructional Technology Program at California State University, San Bernardino.

This thesis describes the design and implementation of information system for company Patrokolos s.r.o., dealing with wireless links for CCTV and security systems. Information system enables its users to record data about custommers, entered into the system and assign them a new contract, they may suggest using an integrated graphical interface. It allows to work with information of produced units. Based on the topology of the proposed contract enabled the implemented system to build configuration skript for Mikrotik OS, which then loaded into the unit. The information system is implemented in PHP 5 in cooperation with the MySQL database system 5.1.

The master's thesis deals with analysis and design of information system for company eSports, s.r.o. First chapter presents theoretical basis which is necessary for understanding the problem. Second chapter assesses current situatuion of eSports, s.r.o. and analyzes main processes of the company. Last chapter provides proposals for data model of new information system.

Thesis (M. Tech.) - Central University of Technology, Free State, 2009 / The purpose of the study was to design and develop a prototype Indigenous Knowledge (IK) database that will be productive within a Knowledge Management (KM) framework specifically focused on IK. The need to develop a prototype IK database that can help standardise the work being done in the field of IK within South Africa has been established in the Indigenous Knowledge Systems (IKS) policy, which stated that “common standards would enable the integration of widely scattered and distributed references on IKS in a retrievable form. This would act as a bridge between indigenous and other knowledge systems” (IKS policy, 2004:33). In particular within the indigenous people’s organizations, holders of IK, whether individually or collectively, have a claim that their knowledge should not be exploited for elitist purposes without direct benefit to their empowerment and the improvement of their livelihoods. Establishing guidelines and a modus operandi (KM framework) are important, especially when working with communities. Researchers go into communities to gather their knowledge and never return to the communities with their results. The communities feel enraged and wronged. Creating an IK network can curb such behaviour or at least inform researchers/organisations that this behaviour is damaging. The importance of IK is that IK provides the basis for problem-solving strategies for local communities, especially the poor, which can help reduce poverty. IK is a key element of the “social capital” of the poor; their main asset to invest in the struggle for survival, to produce food, to provide shelter, or to achieve control of their own lives. It is closely intertwined with their livelihoods. Many aspects of KM and IK were discussed and a feasibility study for a KM framework was conducted to determine if any existing KM frameworks can work in an organisation that works with IK. Other factors that can influence IK are: guidelines for implementing a KM framework, information management, quality management, human factors/capital movement, leading role players in the field of IK, Intellectual Property Rights (IPR), ethics, guidelines for doing fieldwork, and a best plan for implementation. At this point, the focus changes from KM and IK to the prototype IK database and the technical design thereof. The focus is shifted to a more hands-on development by looking at the different data models and their underlying models. A well-designed database facilitates data management and becomes a valuable generator of information. A poorly designed database is likely to become a breeding ground for redundant data. The conceptual design stage used data modelling to create an abstract database structure that represents real-world objects in the most authentic way possible. The tools used to design the database are platform independent software; therefore the design can be implemented on many different platforms. An elementary prototype graphical user interface was designed in order to illustrate the database’s three main functions: adding new members, adding new IK records, and searching the IK database. The IK database design took cognisance of what is currently prevailing in South Africa and the rest of the world with respect to IK and database development. The development of the database was done in such a way as to establish a standard database design for IK systems in South Africa. The goal was to design and develop a database that can be disseminated to researchers/organisations working in the field of IK so that the use of a template database can assist work in the field. Consequently the work in the field will be collected in the same way and based on the same model. At a later stage, the databases could be interlinked and South Africa can have one large knowledge repository for IK.

The domain of molecular biology is complex and vast. Bio-ontologies and information visualisation have arisen in recent years as means to assist biologists in making sense of this information. Ontologies can enable the construction of conceptual queries, but existing systems to do this are too technical for most biologists. OntoDas, the software developed as part of this thesis work, demonstrates how the application of techniques from information visualisation and human computer interaction can result in software which enables biologists to construct conceptual queries. / Thesis (M.Comp.Sc.)-Universty of KwaZulu-Natal, Pietermaritzburg, 2007.

Mycoplasma pneumoniae, einer der kleinsten lebenden Organismen, ist ein erfolgversprechender Modellorganismus der Systembiologie um eine komplette lebende Zelle zu verstehen. Wichtig dahingehend ist die Konstruktion mathematischer Modelle, die zelluläre Prozesse beschreiben, indem sie beteiligte Komponenten vernetzen und zugrundeliegende Mechanismen entschlüsseln. Für Mycoplasma pneumoniae wurden genomweite Datensätze für Genomics, Transcriptomics, Proteomics und Metabolomics produziert. Allerdings fehlten ein effizientes Informationsaustauschsystem und mathematische Modelle zur Datenintegration. Zudem waren verschiedene Beobachtungen im metabolischen Verhalten ungeklärt. Diese Dissertation präsentiert einen kombinatorischen Ansatz zur Entwicklung eines metabolischen Modells für Mycoplasma pneumoniae. Zuerst haben wir eine Datenbank, MyMpn, entwickelt, um Zugang zu strukturierten, organisierten Daten zu schaffen. Danach haben wir ein genomweites, Constraint-basiertes metabolisches Modell mit Vorhersagekapazitäten konstruiert und parallel dazu das Metabolome experimentell charakterisiert. Wir haben die Biomasse einer Mycoplasma pneumoniae Zelle definiert, das Netzwerk korrigiert, gezeigt, dass ein Grossteil der produzierten Energie auf zelluläre Homeostase verwendet wird, und das Verhalten unter verschiedenen Wachstumsbedingungen analysiert. Schließlich haben wir manuell das Genom reannotiert. Die Datenbank, obwohl noch nicht öffentlich zugänglich, wird bereits intern für die Analyse experimenteller Daten und die Modellierung genutzt. Die Entdeckung von Kontrollprinzipien des Energiemetabolismus und der Anpassungsfähigkeiten bei Genausfall heben den Einfluss der reduktiven Genomevolution hervor und erleichtert die Entwicklung von Manipulationstechniken und dynamischen Modellen. Überdies haben wir gezeigt, dass die Genomorganisation in Mycoplasma pneumoniae komplexer ist als bisher für möglich gehalten, und 32 neue, noch nicht annotierte Gene entdeckt. / Mycoplasma pneumoniae, one of the smallest known self-replicating organisms, is a promising model organism in systems biology when aiming to assess understanding of an entire living cell. One key step towards this goal is the design of mathematical models that describe cellular processes by connecting the involved components to unravel underlying mechanisms. For Mycoplasma pneumoniae, a wealth of genome-wide datasets on genomics, transcriptomics, proteomics, and metabolism had been produced. However, a proper system facilitating information exchange and mathematical models to integrate the different datasets were lacking. Also, different in vivo observations of metabolic behavior remained unexplained. This thesis presents a combinatorial approach to design a metabolic model for Mycoplasma pneumoniae. First, we developed a database, MyMpn, in order to provide access to structured and organized data. Second, we built a predictive, genome-scale, constraint-based metabolic model and, in parallel, we explored the metabolome in vivo. We defined the biomass composition of a Mycoplasma pneumoniae cell, corrected the wiring diagram, showed that a large proportion of energy is dedicated to cellular homeostasis, and analyzed the metabolic behavior under different growth conditions. Finally, we manually re-annotated the genome of Mycoplasma pneumoniae. The database, despite not yet being released to the public, is internally already used for data analysis, and for mathematical modeling. Unraveling the principles governing energy metabolism and adaptive capabilities upon gene deletion highlight the impact of the reductive genome evolution and facilitates the development of engineering tools and dynamic models for metabolic sub-systems. Furthermore, we revealed that the degree of complexity in which the genome of Mycoplasma pneumoniae is organized far exceeds what has been considered possible so far and we identified 32 new, previously not annotated genes.

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