Thesis (M.A.)--York University, 2002. Graduate Programme in Fine Arts. / Typescript. Includes the author's compositions The millennium oratorio, Continuus line, and String quartet no. 1. Includes bibliographical references (leaf 90). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://wwwlib.umi.com/cr/yorku/fullcit?pMQ71568.

The aim of my diploma thesis called "Language and Style of Hana Bělohradská" is the linguistic analysis of Hana Bělohradská's works. I will focus mainly on her early works, ie the books which were published especially in the 60's of the 20th century. I will try to compare these texts to the works that were published in the 90's. The thesis will be devided into the theoretical and the practical part. The theoretical part will outline the author's life and the poetics of her works. Then I will briefly define the functional style of her literature. In the practical part I will focus on the analysis of the given works in terms of different language levels. These are the phonetic, morphological, lexical and syntactic levels. For greater transparency, the given phenomena will be explained on the specific parts from the texts examined. In conclusion, I will try to point at the development of language and style in Bělohradská's works.

Large-scale data analysis relies on custom code both for preparing the data for analysis as well as for the core analysis algorithms. The map-reduce framework offers a simple model to parallelize custom code, but it does not integrate well with relational databases. Likewise, the literature on optimizing queries in relational databases has largely ignored user-defined functions (UDFs). In this paper, we discuss annotations for user-defined functions that facilitate optimizations that both consider relational operators and UDFs. We believe this to be the superior approach compared to just linking map-reduce evaluation to a relational database because it enables a broader range of optimizations. In this paper we focus on optimizations that enable the parallel execution of relational operators and UDFs for a number of typical patterns. A study on real-world data investigates the opportunities for parallelization of complex data flows containing both relational operators and UDFs.

Virtual Private Ontology Server (VPOS) is a middleware software with focus on ontologies (semantic models). VPOS is offering a smart way to its users how to access relevant part of ontology dependent on their context. The user context can be expertise level or level of experience or job position in a hierarchy structure. Instead of having numerous numbers of ontologies associated to different user contexts, VPOS keeps only one ontology but offers sub-ontologies to users on the basis of their context. VPOS also supports reasoning to infer new consequences out of assertions stated in the ontology. These consequences are also visible for certain contexts which have access to enough assertions inside ontology to be able to deduct them. There are some issues within current implementation of VPOS. The application uses the random-access memory of local machine for loading the ontology which could be the cause of scalability issue when ontology size exceeds memory space. Also assuming that each user of VPOS holds her own instance of application it might result into maintainability issues such as inconsistency between ontologies of different users and waste of computational resources. This thesis project is about to find some practical solutions to solve the issues of current implementation, first by upgrading the architecture of application using new framework to address scalability issue and then moving to cloud addressing maintainability issues. The final production of this thesis project would be Cloud-VPOS which is an application made to deal with semantic web mechanisms and function over cloud plat-form. Cloud-VPOS would be an application where semantic web meets cloud computing by employing semantic web mechanisms as cloud services. / ebbits project (Enabling business-based Internet of Things and Services)

The SAP HANA database is the core of SAP's new data management platform. The overall goal of the SAP HANA database is to provide a generic but powerful system for different query scenarios, both transactional and analytical, on the same data representation within a highly scalable execution environment. Within this paper, we highlight the main features that differentiate the SAP HANA database from classical relational database engines. Therefore, we outline the general architecture and design criteria of the SAP HANA in a first step. In a second step, we challenge the common belief that column store data structures are only superior in analytical workloads and not well suited for transactional workloads. We outline the concept of record life cycle management to use different storage formats for the different stages of a record. We not only discuss the general concept but also dive into some of the details of how to efficiently propagate records through their life cycle and moving database entries from write-optimized to read-optimized storage formats. In summary, the paper aims at illustrating how the SAP HANA database is able to efficiently work in analytical as well as transactional workload environments.

No description available.

The main purpose of this master's thesis is to propose and implement a SAP CAR (customer activity repository) solution as an application into the current enterprise information system. Following the analysis of the existing system, there will be a solution created, which is fulfilling the customer demands and at the same time it is feasible under given conditions and in the current environment. This project is closely related with addressing the disaster recovery issue for making the system highly available. The final design is implemented, tested and then handed over to the customer.

Large-scale data analysis relies on custom code both for preparing the data for analysis as well as for the core analysis algorithms. The map-reduce framework offers a simple model to parallelize custom code, but it does not integrate well with relational databases. Likewise, the literature on optimizing queries in relational databases has largely ignored user-defined functions (UDFs). In this paper, we discuss annotations for user-defined functions that facilitate optimizations that both consider relational operators and UDFs. We believe this to be the superior approach compared to just linking map-reduce evaluation to a relational database because it enables a broader range of optimizations. In this paper we focus on optimizations that enable the parallel execution of relational operators and UDFs for a number of typical patterns. A study on real-world data investigates the opportunities for parallelization of complex data flows containing both relational operators and UDFs.

Graph-structured data is ubiquitous and with the advent of social networking platforms has recently seen a significant increase in popularity amongst researchers. However, also many business applications deal with this kind of data and can therefore benefit greatly from graph processing functionality offered directly by the underlying database. This paper summarizes the current state of graph data processing capabilities in the SAP HANA database and describes our efforts to enable large graph analytics in the context of our research project SynopSys. With powerful graph pattern matching support at the core, we envision OLAP-like evaluation functionality exposed to the user in the form of easy-to-apply graph summarization templates. By combining them, the user is able to produce concise summaries of large graph-structured datasets. We also point out open questions and challenges that we plan to tackle in the future developments on our way towards large graph analytics.

The Diploma Thesis "Evaluation of tomatoes species with focus on technological features" at its literary part contains description of origin as well as a botanical characteristic of tomato, impact of consumption of tomatoes and products made of them on human health and structure of tomatoes´ substance. It also deals with the technology of growing, reaping and storing the tomatoes, the literature regarding mechanical features of tomatoes and the possibilities of their processing has been perused. Within the experimental part of the thesis there is the evaluation of individual species of tomatoes which are suitable for cannery processing conducted by appraising the cycle of reaping and quality of fruit (overall condition, crackle inclination, weight and dimension parameters, solidity, variegation, content of soluble solid, occurrence of acids, vitamins as well as amount of waste).