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    <title>DSpace Collection: These are articles published in journals by academic staff</title>
    <link>ir.bowen.edu.ng:8181/jspui/handle/123456789/345</link>
    <description>These are articles published in journals by academic staff</description>
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        <rdf:li rdf:resource="ir.bowen.edu.ng:8181/jspui/handle/123456789/1139" />
        <rdf:li rdf:resource="ir.bowen.edu.ng:8181/jspui/handle/123456789/1132" />
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    <dc:date>2026-04-22T00:08:25Z</dc:date>
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  <item rdf:about="ir.bowen.edu.ng:8181/jspui/handle/123456789/1230">
    <title>An improved rapid response model for University Admission enquiry system using Chatbot</title>
    <link>ir.bowen.edu.ng:8181/jspui/handle/123456789/1230</link>
    <description>Title: An improved rapid response model for University Admission enquiry system using Chatbot
Authors: Lala, O. G.; Okedigba, T. O.; Aworinde, H. O.
Abstract: A model for real-time response on admission related enquiries was developed in this research with the aim of bridging the lag usually experienced through the conventional approach of phone call and email. The model was implemented using IBM Watson to design a Chatbot for rapid response to admission enquiries. Botium was used to evaluate the performance of the Chatbot which gave an accuracy of 95.9% with instance of 212successful test cases and 9failed test cases. The approach introduces users to new and emerging technological solutions for optimal and rapid response in the educational sector.</description>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="ir.bowen.edu.ng:8181/jspui/handle/123456789/1139">
    <title>Simulation of an active queue management in a quality of service internet using random early detection (RED)</title>
    <link>ir.bowen.edu.ng:8181/jspui/handle/123456789/1139</link>
    <description>Title: Simulation of an active queue management in a quality of service internet using random early detection (RED)
Authors: Oyetunji, M. O.; Oladeji, F. O.; Uwadia, C. O.; Emuoyibofarhe, O. J.; Akinwunmi, A. O.
Abstract: This paper work presents simulation of an active queue management in a quality of service Internet using differentiated service random early detection (DiffServ RED) algorithm for congestion avoidance in packet switched network. RED algorithm is designed to accompany a transportlayer congestion control protocol such as TCP. We explored how the algorithm, earlier designed by [8], could be used to achieve differential packet dropping required by realtime traffic in the extended TCP/IP protocol for the Internet.&#xD;
The queue manager operates by setting thresholds (minimum and maximum) for the average queue size to detect incipient congestion. When the average queue size is below the minimum threshold, all arriving packets are properly enqueued for dispatch to their destinations. Any time the average queue size exceeds a preset minimum thresholds, the gateway drops packets at random or marks each arriving packet with a certain probability, where the exact probability is a function of the average queue size. A case when the average queue size exceeds the set maximum threshold, the gateway drops all other incoming packets.&#xD;
Differential packet dropping demands that sources violating their agreed sending profiles should have some of its packets discarded during incipient congestion to reduce global synchronization. This study simulated using ns 2, how RED logic marks or drops at random compliant and noncompliant packets means to highly increase the throughput and drastically reduce losses in order to step down congestion over the network. The RED gateway has no bias against bursty traffic and avoids global synchronization of many connections decreasing their windows at the same time.</description>
    <dc:date>2009-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="ir.bowen.edu.ng:8181/jspui/handle/123456789/1132">
    <title>A conceptual model for youth empowerment using cloud computing technology</title>
    <link>ir.bowen.edu.ng:8181/jspui/handle/123456789/1132</link>
    <description>Title: A conceptual model for youth empowerment using cloud computing technology
Authors: Akinwunmi, A. O.; Akinboro, S. A.; Owoeye, M. O.
Abstract: Cloud computing has a lot of opportunities to offer for youth empowerment and can provide a means of living for youths. This study considered the prospects of using cloud computing as a tool for youth empowerment. The social action model and economic empowerment were adopted for the formulation of the conceptual model. The study highlighted some of the opportunities provided by the cloud for empowerment and also presented cloudbased empowerment ideas. A proof of the conceptual model validation by the survey indicated that 92% of the respondents agreed that the cloud-based services give them the opportunities to learn new ideas, explore them, create other new ideas and collaborate with your peers on these ideas while 8% disagreed. Further statistical analysis of the model data from the survey showed that the R-squared value of 1 was realized for a polynomial regression of empowerment determinant as a function of user experience of cloud-based services, this validated the fact that the model can aid youth empowerment. In conclusion, cloud computing can effectively aid the youths to learn, explore, create and collaborate on new skills that can be beneficial to them in various ramifications thereby engaging them for a useful and productive lifestyle that can make the society a better place.</description>
    <dc:date>2020-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="ir.bowen.edu.ng:8181/jspui/handle/123456789/1113">
    <title>Multi-agent system spproach for trustworthy cloud service discovery</title>
    <link>ir.bowen.edu.ng:8181/jspui/handle/123456789/1113</link>
    <description>Title: Multi-agent system spproach for trustworthy cloud service discovery
Authors: Akinwunmi, A.; Olajubu, E.; Aderounmu, G.
Abstract: Accessing the advantages of cloud computing, requires that a prospective user has proper access to trustworthy cloud services. It is a strenuous and laborious task to find resources and services in a heterogeneous network such as cloud environment. The cloud computing  paradigm being a form of distributed system with a complex collection of computing resources from different domains with different regulatory policies but having a lot of values could enhance the mode of computing. But a monolithic approach to cloud service discovery cannot support the requirements of cloud environment effectively. This study proposed a distributive approach for discovering trustworthy cloud services with the use of Multi-Agents System for ensuring intelligent cloud service discovery. Simulations were conducted using CloudAnalyst and the results revealed that extending the Multi-Agents System approach by integrating trust into the process of cloud service discovery enhances the quality of service in respect of response time and scalability. Furthermore, the comparative analysis of the Multi-Agents System approach for cloud service discovery to monolithic approach showed that it is highly efficient, and highly flexible for trustworthy cloud service discovery.</description>
    <dc:date>2019-01-01T00:00:00Z</dc:date>
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