Master of Science

This work discusses the field of genealogy, different types of records and data in them. The thesis describes the topic of comparison of data and record linkage. It further it also discusses the design and implementation of the resulting system. The developed system connects people from parish records to larger pedigrees. These are then stored in the form of a graph database. The success of the interconnection of records was tested on the provided data sets.

While solutions for file system encryption can prevent an adversary from determining the contents of files, in situations where a user wishes to hide even the existence of data, encryption alone is not enough. Indeed, encryption may draw attention to those files, as they most likely contain information the user wishes to keep secret, and coercion can be a very strong motivator for the owner of an encrypted file system to surrender their secret key. Herein we present DEFY, a deniable file system designed to work exclusively with solid-state drives, particularly those found in mobile devices. Solid-state drives have unique properties that render previous deniable file system designs impractical or insecure. Further, DEFY provides features not offered by any single prior work, including: support for multiple layers of deniability, authenticated encryption, and an ability to quickly and securely delete data from the device. We have implemented a prototype based on the YAFFS and WhisperYaffs file systems. An evaluation shows DEFY performs comparatively with WhisperYaffs.

This diploma thesis is about versioning of databases. Firsts chapters are shortly describing the biggest problems what will need to solve. Thr second part refers to choosen database systems and introcution to SQL language. The last unit describes the development of program solving sketched problems.

SQL provides a fairly straightforward means of querying database data. However, as with all command languages, SQL can get very complicated, even for experienced programmers. This complexity can be intimidating to the novice or intermediate user who needs to access data from a database with complex SQL statements, especially when users don't want to know or even become familiar with a command oriented query language like SQL. / Master of Science

Manufacturing hiring managers in the United States who fail to implement adequate recruitment strategies for skilled production workers experience reduced profits and sustainability challenges. The purpose of this multiple case study was to explore the strategies that successful manufacturing hiring managers in North Carolina used to recruit skilled production workers to sustain business profitability. Inductive analysis was guided by the human capital theory, and trustworthiness of interpretations was strengthened by member checking. The population for the study consisted of 4 business leaders who demonstrated the use of effective recruitment strategies to sustain profitability in manufacturing businesses in southeastern North Carolina. Data were collected from face-to-face interviews with the leaders and review of artifacts pertaining to employee recruitment strategies. Six themes emerged: fueling competition for local labor market, enhancing advertising methods, networking, providing job training, growing talent, and building new perceptions of manufacturing. The application of the findings from this study could contribute to positive social change by providing manufacturing business leaders with effective strategies for recruiting skilled workers. Business leaders could contribute to positive social change by increasing workplace stability and employees' abilities to support their families. Businesses and individuals could benefit from improved standards of living, thereby contributing to the sustainment and prosperity of communities.

Poor software quality leads to lost profits and even loss of life. U.S. organizations lose billions of dollars annually because of poor software quality. The purpose of this multiple case study was to explore the strategies that quality assurance (QA) leaders in small software development organizations used for successful software quality assurance (SQA) processes. A case study provided the best research design to allow for the exploration of organizational and managerial processes. The target population group was the QA leaders of 3 small software development organizations who successfully implemented SQA processes, located in Saint John, New Brunswick, Canada. The conceptual framework that grounded this study was total quality management (TQM) established by Deming in 1980. Face-to-face semistructured interviews with 2 QA leaders from each organization and documentation including process and training materials provided all the data for analysis. NVivo software aided a qualitative analysis of all collected data using a process of disassembling the data into common codes, reassembling the data into themes, interpreting the meaning, and concluding the data. The resulting major themes were Agile practices, documentation, testing, and lost profits. The results were in contrast to the main themes discovered in the literature review, although there was some overlap. The implications for positive social change include the potential to provide QA leaders with the strategies to improve SQA processes, thereby allowing for improved profits, contributing to the organizations' longevity in business, and strengthening the local economy.

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Nowadays the largest E-commerce or E-service websites offer millions of products for sale. A Recommender system is defined as software used by such websites for recommending commercial or noncommercial product items to users according to the users’ tastes. In this project, we develop a recommender system for a private multimedia web service company. In particular, we devise three recommendation engines using different data filtering methods – named weighted-average, K-nearest neighbors, and item-based – which are based on collaborative filtering techniques, which work by recording user preferences on items and by anticipating the future likes and dislikes of users by comparing the records, for prediction of user preference. To acquire proper input data for the three engines, we retrieve data from database using three data collection techniques: active filtering, passive filtering, and item-based filtering. For experimental purpose we compare prediction accuracy of those three recommendation engines with the results from each engine and additionally we evaluate the performance of weighted-average method using an empirical analysis approach – a methodology which was devised for verification of predictive accuracy.