METU interoperable database system

and Sevgi Foundation, Turkey) is a multidatabase system based on OMG's (OMG is a registered trademark, and CORBA, ORB, OMG IDL, Object Request Broker are trademarks of OMG) distributed object management architecture. It is implemented on top of a CORBA compliant ORB, namely, DEC's ObjectBroker (ObjectBroker is a registered trademark of DEC Corp.) [DDO96]. In MIND all local databases are encapsulated in generic Database Object. The interface of the generic Database Object is de ned in CORBA IDL and multiple implementations of this interface, one for each component DBMSs, namely, Oracle7 (Oracle7 is a trademark of Oracle Corp.), Sybase (Sybase is a trademark of Sybase Corp.), Adabas D (Adabas D is a trademark of Software AG Corp.) and MOOD [Dog94] are provided. MIND provides its users a common data model and a single global query language based on SQL. The main functionalities of MIND are global query processing, global transaction management and schema integration. The basic component classes in the system are

Goods and Aplikasi Pencatatan Stock Penjualan Untuk Toko Grosir Dengan Menggunakan Microsoft Visual Basic 6.0

In scientific writing, the writer explains the design stock listing application for the sale of goods and grocery stores with using Microsoft Visual Basic 6.0. in this application program consist of 11 form. And use the program to connect to a database object data access. As well as using Microsoft Access 2003 for database

Algorithms for characterization and trend detection in spatial databases

The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial data mining. In this paper, we present new algorithms for spatial characterization and spatial trend analysis. For spatial characterization it is important that class membership of a database object is not only determined by its non-spatial attributes but also by the attributes of objects in its neighborhood. In spatial trend analysis, patterns of change of some non-spatial attributes in the neighborhood of a database object are determined. We present several algorithms for these tasks. These algorithms were implemented within a general framework for spatial data mining providing a small set of database primitives on top of a commercial spatial database management system. A performance evaluation using a real geographic database demonstrates the effectiveness of the proposed algorithms. Furthermore, we show how the algorithms can be combined to discover even more interesting spatial knowledge

Database Systems - Present and Future

The database systems have nowadays an increasingly important role in the knowledge-based society, in which computers have penetrated all fields of activity and the Internet tends to develop worldwide. In the current informatics context, the development of the applications with databases is the work of the specialists. Using databases, reach a database from various applications, and also some of related concepts, have become accessible to all categories of IT users. This paper aims to summarize the curricular area regarding the fundamental database systems issues, which are necessary in order to train specialists in economic informatics higher education. The database systems integrate and interfere with several informatics technologies and therefore are more difficult to understand and use. Thus, students should know already a set of minimum, mandatory concepts and their practical implementation: computer systems, programming techniques, programming languages, data structures. The article also presents the actual trends in the evolution of the database systems, in the context of economic informatics.database systems - DBS, database management systems – DBMS, database – DB, programming languages, data models, database design, relational database, object-oriented systems, distributed systems, advanced database systems

I/O Considered Harmful (At least for the first few weeks)

One of the major difficulties with teaching the first programming course is input/output. It is desirable to show students how to input data and output results early in the course in order to motivate the students and so that they can see the results of their programs. Output is also a useful tool for testing programs. However, in most programming languages input and output are esoteric and the techniques for performing input and output must be learnt by the students at an early stage, precisely when they are trying to understand the basics of programming. We argue that input/output operations need not be taught in the early stages of a course if the language environment provides appropriate tools for testing programs. This assertion is demonstrated by reference to the Blue objectoriented language and environment

Multiple near-earth asteroid rendezvous mission: solar-sailing options

The scientific interest in near-Earth asteroids (NEAs) and the classification of some of those as potentially hazardous for the Earth stimulated the interest in their exploration. Close-up observations of these objects will drastically increase our knowledge about the overall NEA population. For this reason, a multiple NEA rendezvous mission through solar sailing is investigated, taking advantage of the propellantless nature of this propulsion technology. Considering a spacecraft based on the DLR/ESA Gossamer technology, this work focuses on a method for searching possible sequences of NEA encounters. The effectiveness of the approach is demonstrated through a number of fully-optimised trajectories. The results show that it is possible to visit five NEAs within 10 years with near-term solar-sail technology. Moreover, a study on a reduced NEA database demonstrates the reliability of the approach used, showing that 58% of the sequences found with an approximated trajectory model can be converted into real feasible solar-sail trajectories. Overall, the study shows the effectiveness of the proposed automatic optimisation algorithm, which is able to find solutions for a large number of mission scenarios without any input required from the user

Ontology technology for the development and deployment of learning technology systems - a survey

The World-Wide Web is undergoing dramatic changes at the moment. The Semantic Web is an initiative to bring meaning to the Web. The Semantic Web is based on ontology technology – a knowledge representation framework – at its core. We illustrate the importance of this evolutionary development. We survey five scenarios demonstrating different forms of applications of ontology technologies in the development and deployment of learning technology systems. Ontology technologies are highly useful to organise, personalise, and publish learning content and to discover, generate, and compose learning objects