The project developed a web-based application that provides a user-friendly interface to assist practitioners of traditional Chinese medicine in determining the correct diagnosis. Traditional Chinese Medicine On-line Diagnosis System (TCMODS) allows a diagnostician to enter a patient's symptoms using a series of questionnaires to determine health status, which will then be stored in the database as part of the patient's medical records. The database will also differentiate among the patterns of syndromes known in traditional Chinese medicine and search and match these with the patient's data to the known uses of Chinese herbs. TCMODS will then generate that patient's medical record, including the symptoms of the ailment, the syndrome, and a prescription. User identification and access privileges were differentiated in order to maintain the integrity of the patient medical data and the information needed to make the diagnoses. The project was designed to function across platforms and was written using HTML, JSP, and MySQL.

Online Multimedia Communication System is a project aimed at providing people the ability to store and share their multimedia files. The users and administrator can modify and view the files and database information from a normal web browser. Furthermore, this site offers a secure environment to keep all the users' information private.

The International Extension Program Online Registration System (IEPORS) allows prospective international students to apply over the Web to the programs offered through the International Extension Program of the College of Extended Learning. The system is comprised of two separate systems: a web application and a desktop application. In this project, Hibernate technique is used to reduce code size and system architecture. Security schema was also modified to be simple and solidly secure. All the private information could be interceped on the Internet are protected by SSL (secure Sockets Layer).

Submitted in fulfillment of the requirements of the Degree of Master of Technology : Information Technology,Durban University of Technology, 2012 / The introduction of the Integrated Residential Development Programme (IRDP) in 2008 created challenges for the administration of all waiting lists and housing demand databases in South Africa as the provisioning of housing by the National Housing Programme was revised to include a higher earning per household. This resulted in an increase in the number of applications in all provinces. The fact that the KwaZulu-Natal Department of Human Settlements was processing applications manually because their electronic system was obsolete, only served to exacerbate matters. To address this problem of poor service provisioning at KZN-DHS, an automated internet based system was considered a promising solution to facilitate effective communication between the department and its clients. It was therefore important to find out which business activities and functional requirements of the KZN-DHS that when automated as an internet based application would improve housing service provisioning in the province. The purpose of this study therefore was to modify and enhance the old housing demand (electronic) database system for the KZN-DHS as the old system was not meeting their requirements and was not serving the citizens of the province efficiently. The researcher used Entity Relationship (ER) Model and Unified Modelling Language (UML) as a framework to develop an internet based system to leverage the business process, minimize capturing errors and improve administration processes in the KZN-DHS. Using a JAD session, semi-structured interviews she determined the needs and requirements of the users before developing, implementing and testing the system. Implementation alerted the researcher to errors/issues which were addressed to ensure optimal functioning of the system. This study makes recommendations for maintenance of the system and discusses implications for further research.

Thesis (MBA)--Stellenbosch University, 2003. / ENGLISH ABSTRACT: This document discusses the development of a personal computer based financial instrument analysis system, based on the information from a relatively old sequential file based data source. The aim is to modernise the system to use the latest software and data storage technology. The principles used for the design of the system are discussed in Chapter 2. Principles for the development of relational databases are discussed, where after the development of personal computer based software architecture is discussed, to explain the choices made in the design of the system. Chapter 3 discusses the design and implementation of the system in more detail, based on the principles discussed in Chapter 2. Recommendations include a possible shift in architectural layout as well as recommendations for expansion of both the data stored and the analysis performed on the information. / AFRIKAANSE OPSOMMING: Hierdie dokument bespreek die ontwikkeling van ‘n persoonlike rekenaar gebaseerde finansiële instrument analise stelsel, gebaseer op inligting uit ‘n relatiewe ou sekwensiële leêr gebaseerde databron. Die doel is om die stelsel te moderniseer om sodoende van die nuutste sagteware en hardeware tegnologie gebruik te maak. Die beginsels wat gebruik is vir die ontwerp van die stelsel word kortliks in Hoofstuk 2 bespreek. Die beginsels vir die ontwerp van ‘n relasionele databasis word bespreek. Hierna word die ontwikkeling van persoonlike rekenaar gebaseerde sagteware argitektuur bespreek om meer lig te werp op die keuses wat geneem is met ontwerp van die stelsel se argitektuur. Hoofstuk 3 bespreek die ontwerp en implementering van die stelsel in meer detail, gebaseer op die beginsels bespreek in Hoofstuk 2. Voorstelle vir verbetering van die stelsel sluit in detail veranderings aan die argitektuur van die stelsel, sowel as voorstelle vir die uitbreiding van die stelsel wat betref tipe data wat gestoor word en en die analitiese vermoëns van die stelsel.

De nos jours, on a de plus en plus de capteurs qui ont tendance à apporter confort et facilité dans notre vie quotidienne. Ces capteurs sont faciles à déployer et à intégrer dans une variété d’applications (monitoring de bâtiments intelligents, aide à la personne,...). Ces milliers (voire millions)de capteurs sont de plus en plus envahissants et génèrent sans arrêt des masses énormes de données qu’on doit stocker et gérer pour le bon fonctionnement des applications qui en dépendent. A chaque fois qu'un capteur génère une donnée, deux dimensions sont d'un intérêt particulier : la dimension temporelle et la dimension spatiale. Ces deux dimensions permettent d'identifier l'instant de réception et la source émettrice de chaque donnée. Chaque dimension peut se voir associée à une hiérarchie de granularités qui peut varier selon le contexte d'application. Dans cette thèse, nous nous concentrons sur les applications nécessitant une conservation à long terme des données issues des flux de données capteurs. Notre approche vise à contrôler le stockage des données capteurs en ne gardant que les données jugées pertinentes selon la spécification des granularités spatio-temporelles représentatives des besoins applicatifs, afin d’améliorer l'efficacité de certaines requêtes. Notre idée clé consiste à emprunter l'approche déclarative développée pour la conception de bases de données à partir de contraintes et d'étendre les dépendances fonctionnelles avec des composantes spatiales et temporelles afin de revoir le processus classique de normalisation de schéma de base de données. Étant donné des flux de données capteurs, nous considérons à la fois les hiérarchies de granularités spatio-temporelles et les Dépendances Fonctionnelles SpatioTemporelles (DFSTs) comme objets de premier ordre pour concevoir des bases de données de capteurs compatibles avec n'importe quel SGBDR. Nous avons implémenté un prototype de cette architecture qui traite à la fois la conception de la base de données ainsi que le chargement des données. Nous avons mené des expériences avec des flux de donnés synthétiques et réels provenant de bâtiments intelligents. Nous avons comparé notre solution avec la solution de base et nous avons obtenu des résultats prometteurs en termes de performance de requêtes et d'utilisation de la mémoire. Nous avons également étudié le compromis entre la réduction des données et l'approximation des données. / Nowadays, sensors are cheap, easy to deploy and immediate to integrate into applications. These thousands of sensors are increasingly invasive and are constantly generating enormous amounts of data that must be stored and managed for the proper functioning of the applications depending on them. Sensor data, in addition of being of major interest in real-time applications, e.g. building control, health supervision..., are also important for long-term reporting applications, e.g. reporting, statistics, research data... Whenever a sensor produces data, two dimensions are of particular interest: the temporal dimension to stamp the produced value at a particular time and the spatial dimension to identify the location of the sensor. Both dimensions have different granularities that can be organized into hierarchies specific to the concerned context application. In this PhD thesis, we focus on applications that require long-term storage of sensor data issued from sensor data streams. Since huge amount of sensor data can be generated, our main goal is to select only relevant data to be saved for further usage, in particular long-term query facilities. More precisely, our aim is to develop an approach that controls the storage of sensor data by keeping only the data considered as relevant according to the spatial and temporal granularities representative of the application requirements. In such cases, approximating data in order to reduce the quantity of stored values enhances the efficiency of those queries. Our key idea is to borrow the declarative approach developed in the seventies for database design from constraints and to extend functional dependencies with spatial and temporal components in order to revisit the classical database schema normalization process. Given sensor data streams, we consider both spatio-temporal granularity hierarchies and Spatio-Temporal Functional Dependencies (STFDs) as first class-citizens for designing sensor databases on top of any RDBMS. We propose a specific axiomatisation of STFDs and the associated attribute closure algorithm, leading to a new normalization algorithm. We have implemented a prototype of this architecture to deal with both database design and data loading. We conducted experiments with synthetic and real-life data streams from intelligent buildings.

M. Tech. Business Information Systems / Currently there is a high demand in the banking environment for real time delivery of consistent, quality data for operational information. South African banks have the fastest growing use and demand for quality data; however, the bank still experiences data management related challenges and issues. It is argued that the existing challenges may be leveraged by having a sound data architecture framework. To this point, this study sought to address the data problem by theoretically conceptualizing a data architecture framework that may subsequently be used as a guide to improve data management. The purpose of the study was to explore and describe how data management challenges could be improved through Data Architecture.

Duomenų bazių valdymo sistema (DBVS) yra pagrindas beveik visų šiuolaikinių informacinių sistemų (IS). Iš esmės kiekvienas verslo, mokslo arba valdžios valdymo procesas remiasi duomenų baze. Interneto plėtra tik paspartino šią tendenciją – šiandien duomenų bazių operacijos yra kiekvieno duomenų pakeitimo didesniuose tinklalapiuose, paieškos arba apsipirkimo internete variklis [1]. Šiuo metu rinkoje yra didelis komercinių ir nemokamų (taip pat ir atviro kodo) duomenų bazių valdymo sistemų (DBVS) pasirinkimas, pavyzdžiui: Oracle, Microsoft SQL Server, IBM DB2, Microsoft Access, MySQL, PostgreSQL. Kiekviena jų turi savo privalumų ir trukumų. Tačiau informacinių sistemų projektavimo eiga, naudojant šias DBVS ir neatsižvelgiant į jų ypatumus, yra panaši: suprojektuojama duomenų bazė (sukuriamos lentelės, nustatomi jų tarpusavio ryšiai), rašomos užklausos, kuriamos (arba generuojamos) duomenų įvedimo/redagavimo formos bei kuriamos duomenų išrinkimo ataskaitos. Ši informacinių sistemų kūrimo tvarka yra nusistovėjusi per daugelį metų. Tačiau DB projektavimo procesas taptų lengvesnis, pakeitus IS projektavimo procesą taip, kad realizacijos metu iš pradžių būtų kuriamos formos, o tik po to iš sukurtų formų būtų generuojama duomenų bazė. Toks IS kūrimo procesas leistų iš dalies automatizuotų DB projektavimą. Be to, galutinai suderinus prototipus su užsakovu, užtektų tik sugeneruoti DB, t.y. nereikėtų iš naujo kurti formų, o sistema sugeneruotų DB bei automatiškai susietų formų laukus... [toliau žr. visą tekstą] / The Data Base Management System (DBMS) is the foundation of almost every modern business information system. Virtually every administrative process in business, science or government relies on a database. There are a lot of DBMS products in our days, such as Oracle, Microsoft SQL Server, IBM DB2, Microsoft Access, MySQL and PostgreSQL. Each of it has their advantages and disadvantages. But the database design process using these DBMS is the same – at the first stage we need to create a database (tables and relationships between them), then we need to create (or generate by using wizard) forms for data input/modification and reports for data selection. However, the database design process would become easier by changing database design process in such a way that at first we create forms and then database is generated from forms data and forms are automatically associated with database tables. The task of research is to extend chosen free open source DBMS by new functions which would enable to develop forms and DB using new methods – automated database generation from forms and automatic forms association with database tables. OpenOffice.org Base DBMS and Java programming language has been chosen for the task implementation. This thesis consists of analysis, design, user manual, experimental and conclusion parts.

Univ., Diss.--Münster (Westfalen), 2001.

Thesis (Dr. rer. nat.)--Technischen Fakultät der Christian-Albrechts-Universität zu Kiel, 2008. / Reproduced from PDF. Includes bibliographical references (p. 237-250).