IMPROVED VIRTUAL CIRCUIT ROUTING ALGORITHM FOR WIRELESS SENSOR NETWORKS UNDER THE ASPECT OF POWER AWARENESS

Routing algorithms have shown their importance in the power aware wireless micro-sensor networks. In this paper first we present virtual circuit algorithm (VCRA), a routing algorithm for wireless sensor networks. We analyze the power utilized by nodes to lengthen the battery life and thus improving the lifetime of wireless sensor network. We discuss VCRA in comparison with the Multihoprouter, an algorithm developed by UC Berkeley. Then we present Improved Virtual Circuit Routing Algorithm (IVCRA) which is an improved form of VCRA. In IVCRA node failure detection and path repairing scheme has been implemented. We also present the energy analysis of IVCRA and prove that IVCRA is the best choice. We first implement our routing algorithms in simulator TOSSIM and then on real hardware of mica2 mote-sensor network platform and prove the reliable routing of the data packets from different nodes to the base station. The motes used as nodes in our mote-sensor network are from Berkeley USA. By using simulator POWERTOSSIM, we estimate and present the energy utilized by different nodes of the network. At the end we present a comparison of our work with the network layer of Zigbee/IEEE 802.15.4, which is an emerging standard for wireless sensor networks and then compare its energy efficiency with the packet size chosen for our algorithm

PRIORITISATION OF E-LEARNING FORMS BASED ON PAIR-WISE COMPARISONS

There are different forms of teaching using ICT, and they differ according to the level of technological support, the role and tasks of the participants, the level of students’ participation, the physical location of the participants and their interaction. Distance learning is the common name for the process of obtaining knowledge and skills with the assistance of ICT and other forms of distance study. E-learning is a special form of such teaching. In terms of the teaching materials’ specific qualities, and the recommendation of teaching methods for successful teaching, there are different options for applying e-learning in teaching. E-learning can be used either as an independent form of teaching, or as a support to the already established systems of education, or even as their addition. The problem that is being solved in this paper is the prioritisation of e-learning forms for the specific teaching unit, subject, group of subjects, or the whole teaching programme. All this should be done regarding the context, which is characterised by the quality and innovative teaching, available professionals, equipment, possibility of students’ approach to technology, organization of teaching, and rules and regulations. This problem was solved with the assistance of AHP models developed in the process of group decision making supported by sw TeamEC2000

BUSINESS PROCESS MODELLING: A FOUNDATION FOR KNOWLEDGE MANAGEMENT

Knowledge management (KM) is increasingly recognised as a strategic practice of knowledge-intensive companies, becoming an integral part of an organisation's strategy to improve business performance. This paper provides an overview of business process modelling applications and analyses the relationship between business process modelling and knowledge management projects. It presents the case study of Croatian leading banks and the insurance company, discussing its practical experience in conducting business process modelling projects and investigating the opportunity for integrating business process repository and organisational knowledge as the foundation for knowledge management system development

IDENTIFICATION OF THE FREQUENCY AND THE INTENSITY OF THE THREATS IN THE FUNCTION OF DEVELOPMENT OF THE INFORMATION SYSTEM

In the process of development of the security system of the information system, the risk assessment is the foundation for selection of the security measures. The reduction of the level of risk and the amount of costs depend upon the adequate selection of the security measures. The quality of the risk assessment depends upon the adequate assessment of the form and the intensity of the threats. If the forms of threats are not monitored in the business system, it should make its own threat assessment, or use experience of others. The best, but also the most time-consuming solution is to develop own security system, while the fastest way is to use experience of others. However, there is the problem of migration of some other solution to our own system. Depending upon the question whether we are adopting the experiences of domestic or foreign business systems, the question of the applicability to the system from the different business environment becomes relevant. This happens because of the significant differences in the form and intensity of threats in certain local environments or different branches of industry

SELECTING NEURAL NETWORK ARCHITECTURE FOR INVESTMENT PROFITABILITY PREDICTIONS

In this paper we present a modified neural network architecture and an algorithm that enables neural networks to learn vectors in accordance to user designed sequences or graph structures. This enables us to use the modified network algorithm to identify, generate or complete specified patterns that are learned in the training phase. The algorithm is based on the idea that neural networks in the human neurocortex represent a distributed memory of sequences that are stored in invariant hierarchical form with associative access. The algorithm was tested on our custom built simulator that supports the usage of our ADT neural network with standard backpropagation and our custom built training algorithms, and it proved to be useful and successful in modelling graphs