Performance evaluation and indices of cyber cafe business: a factor analytic approach

The advent of the World Wide Web has opened up a new vista of opportunities for investment in the Information Communication Technology (ICT) industry. In recent years, the cyber café business has attracted considerable investment, providing job opportunities for many people. On the other hand, it has also been observed that some hitherto vibrant cyber cafes are also closing down due to the fact that they could not break even. This study, is therefore, aimed at identifying the factors/indices that could enhance the performance of cyber cafes. A total of 250 users of cyber cafes in Akure, Ondo State, Nigeria were randomly selected and a structured questionnaire was administered on them. Data collected was analysed using factor analysis by principal component. The result revealed that four factors, namely quality of hardware, speed of processing, cost, and reliability of service are the major factors that influence users’ patronage. It is therefore recommended that investors and would-be-investors in the cyber cafe business should pay attention to these facors in order to enhance the success of their investment

Hybrid Genetic Algorithms for Scheduling High-Speed Multimedia Systems

It has been observed that most conventional operating systems could not cope with the scheduling of multimedia tasks owing to the large size of these files. For instance, processing of multimedia tasks using the traditional operating systems are fraught with problems such as low quality of service and delay jitters. In order to address these problems, a scheduling algorithm christened hybrid genetic algorithm for multimedia task scheduling (HGAMTS) was developed. It employed heuristic knowledge of the problem domain to model a hybrid genetic algorithm in a multiprocessor environment. The system is made up of the scheduler model and the task model. The scheduler model consist a centralized dynamic scheduling scheme. In this scheme, all tasks arrive at a central processor (scheduler). The model has a minimum of five and maximum of ten processors. Attached to each processor is a dispatch queue

Hough Transform and Chi-Square-Based Iris Recognition

The paper proposes a new iris recognition method based on canny edge detection, Hough transform, pseudo-polar coordinate, wavelet transform and chi-square algorithms. The iris image is firstly converted to greyscale before the edge detection, segmentation, normalization, feature extraction and feature matching operations are performed in sequential order. Feature extraction module uses wavelet transform-based approach to extract standard iris features while the feature matching module relies on chi square algorithm for reference and template-based feature matching. Analyses of the experimental results revealed satisfactory performance of the new method and its dependence on the quality of the hardware used for image acquisition. Comparison of obtained results with those from some existing iris recognition systems showed competitiveness and superiority of the new method