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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

MS SQL Application Development Framework / MS SQL Application Development Framework

Hanes, Marek January 2011 (has links)
Title: MS SQL Application Development Framework Author: Bc. Marek Hanes Department: Department of Software Engineering Supervisor: RNDr. Michal Kopecký, Ph.D. Supervisor's e-mail address: kopecky@ksi.mff.cuni.cz Abstract: The thesis deals with a database application development and tries to find ways to optimize the most common problems encountered. The goal of this thesis is to design and develop a modular framework that simplifies the database application development and prevents inexperienced users from using unsafe SQL statements and/or expressions. The example of such a statement can be the insert statement without explicit column list, unsafe XPath expression, etc. The framework provides among others manipulation with history tables allowing versioning of data and reverting unwanted data changes asynchronous and parallel SQL execution support, error management and logging support, monitoring of schema changes as well as procedure and function debugging Together with means of data manipulation, the framework provides the simple way of publishing stored procedure as web service as well. The framework is accompanied by well-written programmers and users guide to allow its further development. Keywords: application development, framework, modular design, safe statements, constraints 1
2

The impact of the Hotel Sector on tourism development in Kigali

Gatsinzi, Josephine January 2006 (has links)
Magister Artium - MA / The potential of tourism to contribute to economic growth in terms of increasing foreign exchange, creating employment opportunities, generation of government revenues, creating incomes, contribution to poverty reduction, acting as a catalyst of economic development and stimulation of investments have been advanced as the reasons for government support for tourism. It is against this background that countries in Africa such as Rwanda have implemented economic reforms such as privatisation and liberalisation in order to improve the investment climate. The main purpose of this study was to provide a detailed literature account of the tourism investment environment in developing countries, to examine opportunities, constraints and challenges of the hotel investors in Kigali, examine the role of government in providing a conducive investment climate for hotel investors in Kigali and to investigate the impact of the hotel sector on tourism development in Kigali, Rwanda. Both qualitative and quantitative research methods were used to collect the data. Data were collected through questionnaires to hotel investors and interviews to government policy makers. Findings suggest that tourism can contribute to economic development of developing countries through its benefits. Much as investing in tourism has positive developmental aspects to developing countries, tourism investment environment in developing countries has been constrained by various reasons such as inadequate financial institutions, constant political instabilities, lack of adequate tourism infrastructure, lack of human resource, small market size, poor tourism planning to mention but a few. Various investment opportunities are available in Rwanda. Progress in economic performance, political stability, recognition of tourism as an engine of Rwanda's economic growth, the geographical location (in the centre) and the fact that tourism is still a virgin industry present important opportunities for potential investors in Rwanda's hotel sector. Despite the existence of investment opportunities, investors in Rwanda's hotel sector have faced problems such as the continued poor image of the country, lack of tourism infrastructure, the nature of the position of the country (land locked) lack of skilled personnel and lack of proper tourism information. The challenge for Rwanda is therefore to improve her image abroad that was formerly tarnished by the 1994 war and . genocide. Improvement in infrastructure, human resource and proper methods of tourism information can also lead to improved investments in the tourism sector. Findings have further suggested that hotels in Kigali have indeed contributed to tourism development. Effects of the hotel sector have been noticed in urban tourism development, development of the tourism infrastructure in Kigali, creation of employment opportunities for the communities, generation of government revenues and contribution to poverty alleviation.
3

Highway Development Decision-Making Under Uncertainty: Analysis, Critique and Advancement

El-Khatib, Mayar January 2010 (has links)
While decision-making under uncertainty is a major universal problem, its implications in the field of transportation systems are especially enormous; where the benefits of right decisions are tremendous, the consequences of wrong ones are potentially disastrous. In the realm of highway systems, decisions related to the highway configuration (number of lanes, right of way, etc.) need to incorporate both the traffic demand and land price uncertainties. In the literature, these uncertainties have generally been modeled using the Geometric Brownian Motion (GBM) process, which has been used extensively in modeling many other real life phenomena. But few scholars, including those who used the GBM in highway configuration decisions, have offered any rigorous justification for the use of this model. This thesis attempts to offer a detailed analysis of various aspects of transportation systems in relation to decision-making. It reveals some general insights as well as a new concept that extends the notion of opportunity cost to situations where wrong decisions could be made. Claiming deficiency of the GBM model, it also introduces a new formulation that utilizes a large and flexible parametric family of jump models (i.e., Lévy processes). To validate this claim, data related to traffic demand and land prices were collected and analyzed to reveal that their distributions, heavy-tailed and asymmetric, do not match well with the GBM model. As a remedy, this research used the Merton, Kou, and negative inverse Gaussian Lévy processes as possible alternatives. Though the results show indifference in relation to final decisions among the models, mathematically, they improve the precision of uncertainty models and the decision-making process. This furthers the quest for optimality in highway projects and beyond.
4

Highway Development Decision-Making Under Uncertainty: Analysis, Critique and Advancement

El-Khatib, Mayar January 2010 (has links)
While decision-making under uncertainty is a major universal problem, its implications in the field of transportation systems are especially enormous; where the benefits of right decisions are tremendous, the consequences of wrong ones are potentially disastrous. In the realm of highway systems, decisions related to the highway configuration (number of lanes, right of way, etc.) need to incorporate both the traffic demand and land price uncertainties. In the literature, these uncertainties have generally been modeled using the Geometric Brownian Motion (GBM) process, which has been used extensively in modeling many other real life phenomena. But few scholars, including those who used the GBM in highway configuration decisions, have offered any rigorous justification for the use of this model. This thesis attempts to offer a detailed analysis of various aspects of transportation systems in relation to decision-making. It reveals some general insights as well as a new concept that extends the notion of opportunity cost to situations where wrong decisions could be made. Claiming deficiency of the GBM model, it also introduces a new formulation that utilizes a large and flexible parametric family of jump models (i.e., Lévy processes). To validate this claim, data related to traffic demand and land prices were collected and analyzed to reveal that their distributions, heavy-tailed and asymmetric, do not match well with the GBM model. As a remedy, this research used the Merton, Kou, and negative inverse Gaussian Lévy processes as possible alternatives. Though the results show indifference in relation to final decisions among the models, mathematically, they improve the precision of uncertainty models and the decision-making process. This furthers the quest for optimality in highway projects and beyond.

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