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                <text>Green Computing Model for Computer Users in Ghana: An Approach to Sustainable Energy Use</text>
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                <text>EMMANUEL FREEMAN, PATRICK BAA-ACQUAH</text>
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                <text>This study intends to develop a sustainable green computing model for computer users in Ghana. What necessitated for this study includes issues of the human environment and conservations of energy in Ghana. To achieve this, both quantitative and qualitative methods are used to capture data for the findings and analysis. A sample size of 200 computer users for both primary users (domestic users) and secondary users (manufacturers and commercial users) in various organizations in Ghana is used. The research integrated the Rogers Diffusion of Innovation (DOI) Model and Technology-Organization-Environment (TOE) Framework Model to develop a proposed model to capture all the dimensions and elements needed to adopt and practice Green Computing in Ghana. Analysis of the study has shed light on the levels of green computing knowledge and practice possessed by computer users. The scenario that emerged from the findings is less than desirable. Given the importance of green computing awareness, knowledge, practice and adoption. The general impression from the study is that, computer users in Ghana generally have either low levels of green computing habits and practices or none at all. This is especially true for the primary users than for the secondary users. The two differ significantly in their adherence to eco-friendly and energyefficient computing practices. To promote Green Computing adoption and practice in Ghana, a proposed model has been developed to guide the use of server virtualization, energy conservation, and proper way to dispose of e-waste. This model is intended to help improve the adoption and practice …</text>
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                <text>Bio-Inspired Optimisation Algorithm for Congestion Control in Computer Networking</text>
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                <text>The development of internet technology gives consumers the chance to transfer packets across networks instantly. Such developments in internet technology are anticipated to ease congestion. Despite this, the majority of firms were bound by the expense of deploying cutting-edge technology or updating network infrastructure, necessitating efficient congestion management. Inherent distribution optimisation, which requires each source device on the network to continually adjust to its traffic load using the feedback information received or acknowledged from another source device, is unfortunately the problem with congestion management. This research addresses the issue of continually adjusting to a network traffic load by presenting a unique optimisation technique. This strategy is based on the features and hunting behaviour of foxes and rabbits on wild grass. A computer network congestion optimisation …</text>
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                <text>Contemporary enterprises need to manage their infrastructure effectively while keeping personnel costs low to ensure profitability. Achieving this necessitates the study of employing a quantitative research approach to develop a cost model that enables companies to optimise their networking infrastructure while reducing human expenses. The study identified variables such as topologies and configuration complexities that affect labour costs and incorporated the uncovered methods for cutting labour expenses into the developed cost model. Thus, to establish the model's efficacy, the study used real-world data to validate the proposed cost model and compare it to other models. The findings indicate that the cost model can reduce labour costs in computer networking infrastructure and other areas while maintaining excellent network performance and reliability. The study highlights the issues that can impact policy …</text>
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                <text>Fox Prey Optimisation: A Novel Multi-Objective Approach for Congestion Control in Wired Computer Networks</text>
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                <text>Richard Nana Nketsiah, Richard Charles Millham, Israel Edem Agbehadji, Emmanuel Freeman, Richard Koblah Agbehadzi</text>
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                <text>The continuous growth in data traffic within wired computer networks demands sophisticated congestion control strategies. This paper introduces an innovative variant of the Fox Prey Optimisation (FPO) algorithm, drawing inspiration from predator-prey dynamics. FPO adeptly adjusts crucial network parameters, skillfully navigating the metaphorical grassland of network challenges. The fox, symbolizing the FPO, strategically pursues optimal solutions scattered across the vast search space. Rigorous simulations consistently demonstrate FPO's efficacy, showcasing notable improvements in latency reduction, packet loss prevention, and throughput enhancement. This contribution not only enriches the optimisation literature but also propels advancements in network efficiency, quality of service, and overall performance. This study offers insights into the dynamic interplay between a predator and its prey within an …</text>
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                <text>Rule of Thumb for Estimating Workforce Allocations (ROT4WFA) for Computer Networking Projects</text>
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                <text>The challenge of allocating workforce efficiently has long plagued project management, especially in the domain of computer networking. The intrinsic diversity of tasks, rapid technological advancements, and multifaceted skill requirements often culminate in project delays, inflated costs, and operational inefficiencies. Efficiently estimating and allocating the workforce in networking projects to ensure timely completion, minimize costs, and uphold high-quality standards remains a significant challenge in project management. To address this, we present the "Rule of Thumb for Workforce Allocation (ROT4WFA)", a novel methodology specifically designed for networking projects. Grounded in empirical insights and decades of industry experience, ROT4WFA offers a structured approach, providing a clear roadmap for project managers and stakeholders. It directs project managers and stakeholders through the intricacies …</text>
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                <text>This study explores how mobile learning (M-learning) technologies can be used to support educational delivery among tertiary institutions in Ghana. This has become necessary because of the increasing rate of distance and open learning and the shift from the traditional class room environment to a virtual class room environment. To achieve this, the Technology Acceptance Model (TAM) and both quantitative and qualitative methods are used to capture data for the findings and analysis. A total sample size of 500 students and 100 lecturers from five selected tertiary institutions participated in the study. The findings indicate that both faculty and students are ready for this shift of education delivery paradigm. However, the institutions have made very little effort to accept the practice in their schools. This is as result of the facts that the awareness and implementation of m-learning in most institutions are not in place. As a result, a proposed model has been developed to enhance mobile learning education delivery.</text>
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                <text>The need for an effective network for business operation have been the driving force for most institutes globally. It is however noted that most networks face different levels of poor performance. An aspect is network congestion that hinders the smooth flow of data or information anticipated by users of a network. The ability to predict the quality of experience in our network performance to avoid congestion so as to render quality services to a client is very paramount. This paper investigates an innovative approach to analyze the performance of a network using an appropriate techniques. The methodology used a simulation tool IxChariot version 7.10 SP4 simulator for this study which allowed for the emulation of key performance metrics, such as throughput, packet loss, jitter, delay etc. within a hybrid network topology of 35 nodes. The congestion that occurred leading to packet loss during the test run was curtailed by …</text>
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                <text>This paper seeks to assess a sustainable waste management practices in a higher education institution of Ghana. The driving force for this research is the increase in the volumes of daily waste on university campuses as a result of increasing number of students’ enrolment and other university events and services. The mixed method approach was used for this study. A total sample of 214 students from Ghana Communication Technology University (GCTU) was used for the study. The research aimed at collating the requisite information from students from Level 100 to the graduate level on their assessments on solid waste management practices at GCTU. Findings from the studies revealed that the various types of solid waste generated by most students was paper which was not surprising in a school setting, followed by plastics waste and then organic waste. It was also discovered that students’ perception and …</text>
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IEEE</text>
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                <text>This study is an ongoing work to develop a smart mobile health care system for the delivery of health care services to the aged. In this paper, we focus on developing a mapping function algorithm that matches the location of a device used by nurses to that of a patient, especially the aged, to find the optimal distance and direction. After a patient has requested health care service, the algorithm generates random location data, then computes the distances and direction within a geographical location. The mapping function algorithm was inspired by the behaviour of the kestrel bird. The proposed algorithm was evaluated by testing with pre-determined and random location data on latitude and longitudinal data. The experiment results demonstrate that the mapping function was able to find the optimal distance between two different locations.</text>
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