Ahmad Hanis Mohd Shabli

Feasibility Study of Using IEEE 802.22 Wireless Regional Area Network (WRAN) in Malaysia

This paper introduces the implementation of IEEE 802.22 Wireless Regional Area Network (WRAN) for broadband internet access in rural areas. It highlights the advantage of implementing such technology and feasibility to co-exist with Digital Video Broadcasting – Terrestrial (DVB-T) in Malaysia. It adopts a model to determine the maximum number of WRAN base stations (BSs) by analyzing its co-channel interference between the BSs. The analysis shown that maximum WRAN BSs that could co-exist is 8 to 19 BSs outside the protection contour of the DVB-T BS. Coverage areas of 30 – 100 km will also feasible to co-exist. By implementing the IEEE 802.22 WRAN, the digital divide can be narrowed and broadband penetration would be increased.

Formal Specifications and Analysis of an Agent-Based Model for Cognitive Aspects of Fear of Crime

This paper presents a cognitive agent model of fear of crime. The proposed model takes personality, environment, and perception of several events as input and calculates internal factors related to cognitive fear of crime, such as the belief about safety, community trust and likelihood of crime activities, and how they affect individual fear of crime. Simulation results suggest that community level of fear of crime and trust may emerge as the outcome of individuals’ reaction towards perception of crime activities related to their exogenous properties. In addition, a formal approach is put forward to evaluate the behaviours of the proposed model by means of formal techniques namely; mathematical analysis, parameter evaluation, and automated logical verification. The first and second approaches analyse the equilibria conditions and follow by automatically checking a number of expected properties as depicted in the literature. One of the major contributions of this model is the possibility that an analytical engine could be further developed to support community wellbeing.

A Computational Agent Model for Stress Reaction in Natural Disaster Victims

Computational model of stress reaction among natural disaster victim can be of interest for different purposes, varying from the study of virtual human cognition behaviours in stressful events to the development of intelligent support for cognitive therapies. This paper presents a novel computational agent model of stress reaction among natural disaster victims. Simulation experiments under different conditions and parameters setting pointed out that the model is able to produce realistic behaviour of different types of personalities. Moreover, by a mathematical analysis the equilibria of the model have been determined, and by automated trace checking, a number of selected cases from the literatures have been internally validated.