Browsing by Author "Ajayi, Anuoluwapo Olanrewaju"

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    Open Access
    An adaptive fuzzy Information Retrieval model to improve response time perceived by e-commerce clients
    (2010-01) Ajayi, Anuoluwapo Olanrewaju; Aderounmu, Ganiyu A.; Soriyan, H.A.
    In this paper, an adaptive fuzzy logic-based information retrieval model is presented to enable users retrieve exact and specific information they sort after. The proposed IR model takes into consideration the limited bandwidth between ISP and its users; and the characteristics (processor speed, memory size, resolution, availability of anti-virus, etc.) of clients’ devices in ensuring that a customer has a fruitful and eventful session while conducting business online. The model was designed using unified modelling language and implemented using Borland JBuilder. A performance evaluation of the proposed information retrieval system using two evaluation measures was conducted. The experimental result indicated that the model has an acceptable performance.
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    Open Access
    Development of an Improved Quality of Service Model for Electronic Commerce
    (2015-03-31) Ajayi, Anuoluwapo Olanrewaju
    This research designed an intelligent based bandwidth management model which was simulated and evaluated based on performance metrics, and a prototype of the model was implemented. A survey of the existing QoS provisioning models and their modus operandi were carried out. Eighty questionnaire were administered in Southwestern Nigeria to identify the requirements and the needs of e-commerce clients that are peculiar to developing countries. Findings from the data gathering stage prompted the proposition of an intelligent QoS provisioning model based on Unified Modelling Language (UML). The sub-modules of the model consisted of a Fuzzy Semantic Information Retrieval (FSIR) engine, which returns a ranked list of objects that have been estimated to satisfy the user's request; a Fuzzy Inference based Bandwidth Manager (FIBM) which determines the proportion of the service rate that is assigned to user's request, and a Fuzzy Inference based Data Compressor (FIDC) which determines the image variant to transmit depending on the traffic and clients' systems conditions. The Fuzzy Logic toolbox from Matlab was used to model the sub-modules. A prototype of the model was implemented as a web based n-tier application comprising of the client tier, the web tier and the enterprise tier using Java 2 Enterprise Edition (J2EE) language. In order to investigate the performance of the proposed model, a simulation program was developed using MATLAB modelling language. In the simulation, clients' systems characteristics, their purchase histories and page sizes after a search operation is performed were randomly generated from statistical distributions. The daily traffic pattern of the Obafemi Awolowo University Network was used to model the traffic in the simulation. The ability of the proposed model was benchmarked with the current Internet Best-Effort model using the QoS performance metrics such as response time, throughput, and latency. The simulation result revealed a better performance of the proposed model over the Best Effort model with about 52% reduction in system response time, 66% reduction in system latency, and 115% increment in system throughput at a bandwidth of 1Mb for a network of 600 clients. The MATLAB normal probability plot when used to analyse the results at 95% confidence intervals, indicated that 75th percentile of the observations under the Proposed had response time of less than 8.5 seconds, latency of 0.85 second, and a throughput of 56%. The effect of using sub-standard systems to query a web server, a feature that is absent in existing QoS provisioning schemes, was also investigated. Clients using sub standard systems under the proposed and Best Effort model had mean response times of 12.43s and 22.04s with standard deviations of 0.2s and 3.5s respectively, during the off peak and peak load conditions. Thus the proposed model produced consistent system response time for clients. The result obtained from the prototype implementation was in good agreement with the simulations. It was concluded that the robust and intelligent QoS provisioning model developed and implemented in J2EE provided effective management of quality of service of web applications, particularly where computing and network resources are limited.
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    Open Access
    Lightweight Agents, Intelligent Mobile Agent and RPC Schemes: A Comparative Analysis.
    (2010-01) Olajubu, Emmanuel; Ajayi, Anuoluwapo Olanrewaju; Aderounmu, Ganiyu A.
    This paper presents the performance comparison of Lightweight Agents, Single Mobile Intelligent Agents and Remote Procedure Call which are tools for implementing communication in a distributed computing environment. Routing algorithms for each scheme is modeled based on TSP. The performance comparison among the three schemes is based on bandwidth overhead with retransmission, system throughput and system latency. The mathematical model for each performance metric is presented, from which mathematical model is derived for each scheme for comparison. The simulation results show that the LWAs has better performance than the other two schemes in terms of small bandwidth retransmission overhead, high system throughput and low system latency. The Bernoulli random variable is used to model the failure rate of the simulated network which is assumed to have probability of success p = 85% and the probability of failure q = 15%. The network availability is realized by multiplicative pseudorandom number generator during the simulation. The results of simulation are presented.
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    Open Access
    A Low Cost Course Information Syndication System
    (Journal of information technology education, 2011-01) Ajayi, Anuoluwapo Olanrewaju; Olajubu, Emmanuel; Bello, Sururah Apinke; Soriyan, H.Abimbola
    Executive Summary This study presents a cost effective, reliable, and convenient mobile web-based system to facili-tate the dissemination of course information to students, to support interaction that goes beyond the classroom. The system employed the Really Simple Syndication (RSS) technology and was developed using Rapid Application Development (RAD) methodology. The design of the system was modeled using Unified Modeling Language (UML) diagrams, while its implementation was done using Java Micro Edition (JME) and "PHP: Hypertext Preprocessor" (PHP). A simulation technique was used to evaluate the proposed system performance by comparing the approach used in its design to one adopted in a similar study, using response time and bandwidth consumption as metrics. The results obtained revealed that the performance of the proposed syn-dication system was better. Similarly, an experiment to investigate the students' perception of the system was conducted, with students' responses revealing a tremendous success of this project.