The Mirror MMDBMS architecture

Handling large collections of digitized multimedia data, usually referred to as multimedia digital libraries, is a major challenge for information technology. The Mirror DBMS is a research database system that is developed to better understand the kind of data management that is required in the context of multimedia digital libraries (see also URL http://www.cs.utwente.nl/~arjen/mmdb.html). Its main features are an integrated approach to both content management and (traditional) structured data management, and the implementation of an extensible object-oriented logical data model on a binary relational physical data model. The focus of this work is aimed at design for scalability

An object-oriented approach to structuring multicriteria decision support in natural resource management problems

Includes bibliographical references.The undertaking of MCDM (Multicriteria Decision Making) and the development of DSSs (Decision Support Systems) tend to be complex and inefficient, leading to low productivity in decision analysis and DSSs. Towards this end, this study has developed an approach based on object orientation for MCDM and DSS modelling, with the emphasis on natural resource management. The object-oriented approach provides a philosophy to model decision analysis and DSSs in a uniform way, as shown by the diagrams presented in this study. The solving of natural resource management decision problems, the MCDM decision making procedure and decision making activities are modelled in an object-oriented way. The macro decision analysis system, its DSS, the decision problem, the decision context, and the entities in the decision making procedure are represented as "objects". The object-oriented representation of decision analysis also constitutes the basis for the analysis ofDSSs

A unified model of the electrical power network

Traditionally, the different infrastructure layers, technologies and management activities associated with the design, control and protection operation of the Electrical Power Systems have been supported by numerous independent models of the real world network. As a result of increasing competition in this sector, however, the integration of technologies in the network and the coordination of complex management processes have become of vital importance for all electrical power companies. The aim of the research outlined in this paper is to develop a single network model which will unify the generation, transmission and distribution infrastructure layers and the various alternative implementation technologies. This 'unified model' approach can support ,for example, network fault, reliability and performance analysis. This paper introduces the basic network structures, describes an object-oriented modelling approach and outlines possible applications of the unified model

Managing toxic and hazardous substances of concern in manufacturing

This thesis examined data management from an object relational database perspective. The database used was a product from Cornell University called PREDATOR. The context of the evaluation is the life-cycle of a manufactured product. The manufacturing life-cycle was chosen to correspond to an environmental life-cycle being done at NJIT. However, the goal was to use a generic model that could be applied to many situations. The first phase developed the conceptual life-cycle model. At a high level, the model was not designed with a programming language in mind. Several questions needed to be answered and the a [sic] model answers the questions regardless of implementation. Once the conceptual model was completed, the implementation phase began. Knowledge and past experience affected implementation of the life-cycle model. A totally object oriented approach was the first step. Class diagrams were first developed. Then a JAVA application was built against the class diagram. Once the object oriented approach proved successful, the move to an object relational implementation began. As this morphing occurred, it became clear that, for this life-cycle model, the object relational approach is not appropriate. This is shown by demonstrating that the object model becomes a purely relational model

Modeling emergency management data by UML as an extension of geographic data sharing model: AST approach

Applying GIS functionality provides a powerful decision support in various application areas and the basis to integrate policies directed to citizens, business, and governments. The focus is changing toward integrating these functions to find optimal solutions to complex problems. As an integral part of this approach, geographic data sharing model for Turkey were developed as a new approach that enables using the data corporately and effectively. General features of this model are object-oriented model, based on ISO/TC211 standards and INSPIRE Data Specifications, describing nationwide unique object identifiers, and defining a mechanism to manage object changes through time. The model is fully described with Unified Modeling Language (UML) class diagram. This can be a starting point for geographic data providers in Turkey to create sector models like Emergency Management that has importance because of the increasing number of natural and man-made disasters. In emergency management, this sector model can provide the most appropriate data to many "Actors" that behave as emergency response organizations such as fire and medical departments. Actors work in "Sectors" such as fire department and urban security. Each sector is responsible for "Activities" such as traffic control, fighting dire, emission, and so on. "Tasks" such as registering incident, fire response, and evacuating area are performed by actors and part of activity. These tasks produce information for emergency response and require information based on the base data model. By this way, geographic data models of emergency response are designed and discussed with "Actor-Sector-Activity-Task" classes as an extension of the base model with some cases from Turkey

The utilization of neural nets in populating an object-oriented database

Existing NASA supported scientific data bases are usually developed, managed and populated in a tedious, error prone and self-limiting way in terms of what can be described in a relational Data Base Management System (DBMS). The next generation Earth remote sensing platforms (i.e., Earth Observation System, (EOS), will be capable of generating data at a rate of over 300 Mbs per second from a suite of instruments designed for different applications. What is needed is an innovative approach that creates object-oriented databases that segment, characterize, catalog and are manageable in a domain-specific context and whose contents are available interactively and in near-real-time to the user community. Described here is work in progress that utilizes an artificial neural net approach to characterize satellite imagery of undefined objects into high-level data objects. The characterized data is then dynamically allocated to an object-oriented data base where it can be reviewed and assessed by a user. The definition, development, and evolution of the overall data system model are steps in the creation of an application-driven knowledge-based scientific information system

A hybrid approach to workflow modelling

The increase in Business Process Management projects in the past decade has seen an increase in demand for business process modelling techniques. A rapidly growing aspect of BPM is the use of workflow management systems to automate routine and sequential processes. Workflows tend to move away from traditional definitions of business processes can often be forced to fit a model which does not suit its nature. Existing process modelling tools tend to be biased to either the informational, behavioural or object oriented aspect of the workflow. Because of this, models can often miss important aspects of a workflow. As well as managing the relationship between the types of model it is important to consider who will be using it as process models are useful in various ways. This paper reports on a case study in a manufacturing company where users were surveyed to see which are the notation that are most common in modelling based on two main categories (behavioural and informational). Research outcomes showed that there is no prevailing set of standards used for either of these categories, whilst most user feel the need to use more than one approach to model their system at any given time

Student modeling for learning of object-oriented programming in e-learning environment

E-Learning environment offers some interesting benefits over traditional learning environments. Students’ learning in e-learning environment can be independent of distance, time, computing platform and classroom size. E-Learning also provides diversity and completeness of knowledge. In an e-learning environment, students learn by going through learning materials provided through a web-based learning management system. However, most of the learning management systems are nothing more than a network of statically linked hypertext pages. To better support the learning activities of a large number of students with different learning styles, and diverse background and learning goals, there is a need for a more adaptive and intelligence learning management system. To achieve this objective, this system must be able to provide a more personalised approach for learners. This is particularly important in the learning of programming, since different learner would normally face with different problem. The most important component for developing a more adaptive and intelligent learning management system is the students model. The purpose of this paper is to investigate and then to propose a students model for learning of object-oriented programming in an e-learning environment. The development of this model is based on our experience in handling courses on object-oriented programming at Open University Malaysia (OUM) over more than four years. (Authors' abstract

CRUD-DOM: a model for bridging the gap between the object-oriented and the relational paradigms

Best Paper AwardObject-oriented programming is the most successful programming paradigm. Relational database management systems are the most successful data storage components. Despite their individual successes and their desirable tight binding, they rely on different points of view about data entailing difficulties on their integration. Some solutions have been proposed to overcome these difficulties, such as Embedded SQL, object/relational mappings (O/RM), language extensions and even Call Level Interfaces (CLI), as JDBC and ADO.NET. In this paper we present a new model aimed at integrating object-oriented languages and relational databases, named CRUD Data Object Model (CRUD-DOM). CRUDDOM relies on CLI (JDBC) and aims not only at exploring CLI advantages as preserving its performance and SQL expressiveness but also on providing a typestate approach for the implementation of the ResultSet interface. The model design aims to facilitate the development of automatic code generation tools. We also present such a tool, called CRUD Manager (CRUD-M), which provides automatic code generation with a complementary support for software maintenance. This paper shows that CRUD-DOM is an effective model to address the aforementioned objectives.(undefined