Browsing by Subject "Systems Analysis"
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Item Open Access An implementation of structured systems analysis to an information technology company(1996) Alparslan, KorhanSystems Analysis is the process of analyzing an organization with the ultimate objective of modifying and improving it. It is a way of solving problems existing in organizations. Structured Analysis, with the aid of visual capabilities, is the most commonly applied technique of implementing systems analysis. The two major components of structured analysis are Data Flow Diagrams(DFDs) and Data Dictionary. Wide-spread usage of Computer-Aided Software Engineering(CASE) tools that support systems analysis and design made the structured analysis process easier to manage and control. This study aims to apply structured analysis methodology to a Turkish company that operates in the information technology industry. Context diagram which is level 0 DFD is developed initially. Then the level 1 and level 2 DFDs are produced. The DFDs display the processes of each department and data flow between, in and out of departments. Each process that exists in the level 2 DFDs is explained and the data dictionary is provided in the appendices. The study concludes with a summary of recommendations that can be implemented for the improvement of the organization work flow.Item Open Access Research issues in real-time database systems . Survey paper(Elsevier, 1995) Ulusoy, ÖzgürToday's real-time systems are characterized by managing large volumes of data. Efficient database management algorithms for accessing and manipulating data are required to satisfy timing constraints of supported applications. Real-time database systems involve a new research area investigating possible ways of applying database systems technology to real-time systems. Management of real-time information through a database system requires the integration of concepts from both real-time systems and database systems. Some new criteria need to be developed to involve timing constraints of real-time applications in many database systems design issues, such as transaction/query processing, data buffering, CPU, and IO scheduling. In this paper, a basic understanding of the issues in real-time database systems is provided and the research efforts in this area are introduced. Different approaches to various problems of real-time database systems are briefly described, and possible future research directions are discussed. © 1995.Item Open Access A rule-based video database system architecture(Elsevier, 2002) Dönderler, M. E.; Ulusoy, Özgür; Güdükbay, UğurWe propose a novel architecture for a video database system incorporating both spatio-temporal and semantic (keyword, event/activity and category-based) query facilities. The originality of our approach stems from the fact that we intend to provide full support for spatio-temporal, relative object-motion and similarity-based object-trajectory queries by a rule-based system utilizing a knowledge-base while using an object-relational database to answer semantic-based queries. Our method of extracting and modeling spatio-temporal relations is also a unique one such that we segment video clips into shots using spatial relationships between objects in video frames rather than applying a traditional scene detection algorithm. The technique we use is simple, yet novel and powerful in terms of effectiveness and user query satisfaction: video clips are segmented into shots whenever the current set of relations between objects changes and the video frames, where these changes occur, are chosen as keyframes. The directional, topological and third-dimension relations used for shots are those of the keyframes selected to represent the shots and this information is kept, along with frame numbers of the keyframes, in a knowledge-base as Prolog facts. The system has a comprehensive set of inference rules to reduce the number of facts stored in the knowledge-base because a considerable number of facts, which otherwise would have to be stored explicitly, can be derived by rules with some extra effort. © 2002 Elsevier Science Inc. All rights reserved.