Data warehouses are nowadays an important component in every competitive system, it's one of the main components on which business intelligence is based. We can even say that many companies are climbing to the next level and use a set of Data warehouses to provide the complete information or it's generally due to fusion of two or many companies. these Data warehouses can be heterogeneous and ge...

Currently, the challenge of implementing a product data management system (PDMS) is how to ensure system integration and product data exchange is shared between heterogeneous systems. In this research, an integrated data models and implementation approach for PDMS is proposed that uses the STEP (Standard for the Exchange of Product) model data standard and schema as proposed by the Object Manag...

Expert systems have been applied to many areas of research to handle problems effectively. Designing and implementing an expert system is a difficult job, and it usually takes experimentation and experience to achieve high performance. The important feature of an expert system is that it should be easy to modify. They evolve gradually. This evolutionary or incremental development technique has ...

Orion is a state-of-the-art uncertain database management system that extends the relational model to include probabilistic uncertain data as first call data types. This demonstration presents an implementation of this system as an extension of PostgreSQL. The Orion model is capable of supporting both attribute and tuple uncertainty with arbitrary correlations. Both discrete and continuous pdfs...

Many scientific applications have large I/O requirements, in terms of both the size of data and the number of files or data sets. Management, storage, efficient access, and analysis of this data present an extremely challenging task. Traditionally, two different solutions have been used for this task: file I/O or databases. File I/O can provide high performance but is tedious to use with large ...

Welcome to the ninth issue of the CONET newsletter. CONET is the EU FP7 network of excellence on Cooperating Objects, merging the fields of embedded systems for robotics and control, pervasive computing and wireless sensor networks. CONET focuses on establishing the field of Cooperating Objects within the research and industrial community, thus strengthening the position of Europe in the resear...

Usually, a Big Data system has a monitoring system for performance evaluation and error prevention. There are some disadvantages in the way that these tools display the information and its targeted approach to physical components. The main goal is to study visual and interactive mechanisms that allow the representation of monitoring data in grid computing environments, providing the end-user in...

Traditional database management systems are best equipped to run onetime queries over finite stored data sets. However, many modern applications such as network monitoring, financial analysis, manufacturing, and sensor networks require long-running, or continuous, queries over continuous unbounded streams of data. In the STREAM project at Stanford, we are investigating data management and query...

To meet the mobile communication development, the necessary choice for mobile operators is to build up a convergence management system for the value-added services, which should support multiple valueadded services openly. This paper introduced a new convergent management system for different mobile data services, which was developed by the author. And it focused on the development of convergen...

this research discusses the process of designing a conceptual model for a new information system, i.e. electronic document management system. the new system is designed for an educational institute (itvhe) whose managers are the research population. the research methodology is based on structured analysis and design methodology (ssadm). in the end, the new system proposed using a data flow diag...