Asian Journal of Research in Computer Science https://journalajrcos.com/index.php/AJRCOS <p style="text-align: justify;"><strong>Asian Journal of Research in Computer Science (ISSN: 2581-8260 )&nbsp;</strong>aims to publish high-quality papers in all areas of 'computer science, information technology,&nbsp;and related subjects'. The journal also encourages the submission of useful reports of negative results. This is a quality controlled,&nbsp;OPEN&nbsp;peer-reviewed, open access INTERNATIONAL journal.</p> SCIENCEDOMAIN international en-US Asian Journal of Research in Computer Science 2581-8260 Digital Collaborative Framework for Students’ Industrial Work Experience Scheme and Sustainability in Federal Polytechnic Offa, Nigeria https://journalajrcos.com/index.php/AJRCOS/article/view/30171 <p>Graduate training is one of the core courses offered in all polytechnics systems in Nigeria, each polytechnic gives orientation programmes and deploys students for industrial training once a year. These processes of pen on paper method throw serious challenges because of time authorization and time frame. Placement of undergraduate students looking for relevant Industrial Training (IT) attachment is becoming worrisome. This research tends to provide a web based solution called Digital Collaborative Framework (DCF) for Students’ Industrial Work Experience Scheme (SIWES) and sustainability in Federal Polytechnic Offa, Nigeria. This is to bridge the gap between educational institutions and the industries subject to training and re-training perspectives. The stakeholders can easily turn DCF into e-administrative tools, then allow students to get industrial placement relevant to their field of studies. The research proposed to develop a productive web application using Codeigniter Php framework. This research will serve as a cloud database to students, staff and other stakeholders and create access to examine, monitor and measure students’ performance at the end of the (SIWES) scheme.</p> AbdulAkeem O. Otunola Abdullateef O. Alabi A. T. Abdullateef M. K. Lawal N. O. Olanipekun ##submission.copyrightStatement## 2021-01-13 2021-01-13 21 31 10.9734/ajrcos/2021/v7i130171 Data Analytic Solution for Heterogeneous Transportation Management Network System: A Case Study of Kwara State, Nigeria https://journalajrcos.com/index.php/AJRCOS/article/view/30172 <p>When the transportation system of any States in Nigeria is effective, it positively contributes to effective economy growth and infrastructural facilities; saves stress and generate revenue to the authorities. This is the desire of every ministry of Transportation for State in Nigeria although a number of constraints usually make it not attainable. The transportation system presently operated by the Ministry of Transportation, Kwara was studied and found to be suffering, cumbersome, exploitative and fall short in all standards of a good transportation network system. Therefore this paper seeks to present the results of the research carried out to Big Data Analytic Solution (BDAS) for the management of the transport companies’ network system within Kwara State. The research adopts a transportation frame work design solution, MySQL for data migration and Php framework ‘codeigniter’ for productive server for the full development. The phase testing is carried out and presents the improved version for the improvement in routes schedules, company’s services and driver’s registration and user booking.</p> <p>The system will serve as open access to heterogeneous communities in Kwara State, Nigeria and make easy booking for passengers, assist communities in management of transportation systems within kwara state, Nigeria.</p> A. Aroyehun Kayode Abdullateef O. Alabi T. Salaudeen Ganiyat ##submission.copyrightStatement## 2021-01-13 2021-01-13 32 49 10.9734/ajrcos/2021/v7i130172 A Threshold-based Tournament Resource Allocation in Cloud Computing Environment https://journalajrcos.com/index.php/AJRCOS/article/view/30169 <p>Cloud computing environments provide an apparition of infinite computing resources to cloud users so that they can increase or decrease resource consumption rate according to their demands. In the Cloud, computing resources need to be allocated and scheduled in a way that providers can achieve high resource utilization and users can meet their applications’ performance requirements with minimum expenditure. Due to these different intentions, there is the need to develop a scheduling algorithm to outperform appropriate allocation of tasks on resources. The paper focuses on the resource optimization using a threshold-based tournament selection probability for virtual machines used in the execution of tasks. The proposed approach was designed to create metatask and the proposed algorithm used was Median-Based improved Max-Min algorithm. The experimental results showed that the algorithm had better performance in terms of makespan, utilization of resources and throughput. The load balance of tasks was also fairly distributed on the two datacenters.</p> I. P. Oladoja O. S. Adewale S. A. Oluwadare E. O. Oyekanmi ##submission.copyrightStatement## 2021-01-07 2021-01-07 1 13 10.9734/ajrcos/2021/v7i130169 Extracting a Bounded Region from a Map Using Flood Fill Algorithm https://journalajrcos.com/index.php/AJRCOS/article/view/30170 <p>Extracting the needed portion from a bounded region is an important task in image processing. Editing a map and extracting a region from the map is challenging. It is useful in some contexts to have a region in a separate sheet. In this image processing, we have used the Flood Fill algorithm to extract a region from the image map. To achieve that goal, we had worked in our study to separate a bounded region on a map. Usually, a scanned map may contain a lot of useless information. So we have to process the image to remove useless information from the map. We had quantized the image to a binary one. In the second phase, we have applied a gray color to separate the desired position from a map. Our main objective of the study to extract a bounded region from mapping an image that contains useless information and removes it. We have experimented with several maps and it works successfully.</p> S. M. Abdullah Al Shuaeb Md. Kamruzzaman Mohammad Hazrat Ali ##submission.copyrightStatement## 2021-01-11 2021-01-11 14 20 10.9734/ajrcos/2021/v7i130170