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                <text>Renewable energy (electricity) development in Ghana: Observations, concerns, substitution possibilities, and implications for the economy.</text>
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                <text>Boqiang Lin, Isaac Ankrah</text>
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                <text>Can Ghana build its economy on renewable energy? Is it possible to substitute nonrenewable for renewable energy? What is the impact of renewable energy on the economy of Ghana? These questions are relevant and worth considering as far as the renewable energy development agenda in Ghana is concern. Using the translog production function approach, this study primarily investigates whether Ghana can move away from nonrenewable electricity generation to renewable power generation. In particular, we provide estimates for the relationship between the two energy types and output. The estimates are then used to calculate the output and substitution elasticities between renewable and nonrenewable energy. Our findings show that while the impact of nonrenewable energy on Ghana's economy is negative, that of renewable energy is insignificant, with output elasticities for both energy types averaging −0 …</text>
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                <text>Prince Modey, Gaddafi Abdul-Salaam, Emmanuel Freeman, Patrick Acheampong, William Leslie Brown-Acquaye, Israel Edem Agbehadji, Richard C Millham</text>
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                <text>In Wireless Sensor Networks (WSNs), an efficient clustering technique is critical in optimizing the energy level of networked sensors and prolonging the network lifetime. While the traditional bee colony optimization technique has been widely used as a clustering technique in WSN, it mostly suffers from energy efficiency and network performance. This study proposes a Bee Colony Optimization that synergistically combines K-mean algorithms (referred to as K-BCO) for efficient clustering in heterogeneous sensor networks. This is to develop a robust and efficient clustering algorithm that addresses the challenges of energy consumption and network performance in WSNs. The K-BCO algorithm outperformed comparative clustering algorithms such as H-LEACH, DBCP, and ABC-ACO in average error rate (AER), average data delivery rate (ADDR), and average energy consumption (AEC) for transmitting data packets from sensors to cluster heads. The K-BCO outperformed other algorithms in terms of ADDR at 95.00% against H-LEACH (75.86%), DBCP (72.07%) and ABC-ACO (90.08%). The findings indicate that the K-BCO not only optimizes energy consumption but also guarantees more stable and robust solutions, thereby extending the network lifetime of WSNs. Thus, K-BCO is recommended to practitioners in wireless sensor networks as it paves the way for more efficient and sustainable wireless communication.</text>
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                <text>Fused Multi-Domains and Adaptive Variational Mode Decomposition ECG Feature Extraction for Lightweight Bio-Inspired Key Generation and Encryption</text>
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                <text>Israel Edem Agbehadji, Richard C Millham, Emmanuel Freeman, Wanqing Wu, Xianbin Zhang</text>
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                <text>Security is one of the increasingly significant issues given advancements in technology that harness data from multiple devices such as the internet of medical devices. While protecting data from unauthorized user access, several techniques are used including fingerprints, passwords, and others. One of the techniques that has attracted much attention is the use of human features, which has proven to be most effective because of the difficulties in impersonating human-related features. An example of a human-related attribute includes the electrical signal generated from the heart, mostly referred to as an Electrocardiogram (ECG) signal. The methods to extract features from ECG signals are time domain-based; however, the challenge with relying only on the time-domain or frequency-domain method is the inability to capture the intra-leading relationship of Variational Mode Decomposition signals. In this research …</text>
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                <text>Public Sector Marketing Communications: Insights from/for the Primus National Football League Rwanda</text>
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                <text> Robert Ebo Hinson</text>
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                <text>This chapter highlights the potential of an unexplored African Professional Football League to leverage its brand through effective marketing communications. The chapter is primarily documentary analysis-driven, drawing upon a mixture of official statistics, contingent literature and personal observation, especially the on-pitch performance of the Rwanda Professional League Football. Considering the sponsorship deals the government of Rwanda has with Arsenal Football Club in the English Premier League, and the VisitRwanda visibility, it is surprising that the domestic league is less globally visible. Interestingly, the league recently secured a sponsorship deal with the local brewer, Bralirwa, promoting a change of label Primus National League due to agreed naming rights with the domestic brewer. Arguably, football leagues are quasi-government entities and deserving of the label, public sector. Overall, the chapter advances a potential avenue for a perception change of global observers (including potential investors) of the football league in a country at the forefront of African development.</text>
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                <text>https://link.springer.com/chapter/10.1007/978-3-031-17863-4_10</text>
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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>Boqiang Lin, Isaac Ankrah</text>
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                <text>Considering the objectives of Nigeria's Renewable Energy Program, three basic questions are asked in this study: Can Nigeria really build its economy on renewable energy? Is it possible to substitute nonrenewable energy for renewable energy? What is the impact of renewable energy on the economy? This study primarily analyzes renewable energy development in Nigeria. Among other things, we estimate the economic impact, output elasticity, and the substitution possibilities of both renewable and nonrenewable energies. Our findings, based on a dataset from 1980 to 2015, in the framework of the translog production function, show that capital and labor are the main drivers of output in Nigeria; however, the economic impact of both energy types (renewable and nonrenewable) are insignificant, even though positive. With output and substitution elasticities being positive, this study confirms the possibility of …</text>
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                <text>Bio-Inspired Optimisation Algorithm for Congestion Control in Computer Networking</text>
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                <text>Richard Nana Nketsiah, Israel Edem Agbehadji, Richard C Millham, Emmanuel Freeman</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>Optimising a Formulated Cost Model to Minimise Labour Cost of Computer Networking Infrastructure: A Systematic Review</text>
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              <elementText elementTextId="13498">
                <text>Richard Nana Nketsiah, Richard C Millham, Israel Edem Agbehadji, Emmanuel Freeman, Ayogeboh Epizitone</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>Springer Nature Switzerlan</text>
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                <text>https://link.springer.com/chapter/10.1007/978-3-031-48858-0_34</text>
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                <text>Brazilian energy efficiency and energy substitution: a road to cleaner national energy system</text>
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                <text>Boqiang Lin, Isaac Ankrah, Sylvester Adasi Manu</text>
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                <text>Recognizing the need to increase energy efficiency across various sectors of the economy, the Brazilian government through the national energy efficiency plan (adopted in 2011) seeks to avoid 30 million tons of CO2 emissions through a reduction in electricity consumption of about 10% by 2030. Notwithstanding, we believe that a complete realization of such initiative will be dependent on the level of substitutability between different production factors and fuel types. Using the translog production function method, this paper, first provides insight on the economic impact of both factor and fuel inputs in Brazil. Most importantly, we examine the possibility of substitution among capital, labor, petroleum, and electricity. The ridge regression technique was used to estimate the parameters after our data depicted the existence of multicollinearity. Our results show that capital and labor are positively linked to output; however …</text>
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                <text>Elsevier</text>
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                <text>2017</text>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=qSyX_i8AAAAJ&amp;amp;citation_for_view=qSyX_i8AAAAJ:IjCSPb-OGe4C</text>
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                <text>Renewable energy development in Ghana: Beyond potentials and commitment</text>
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                <text>Isaac Ankrah, Boqiang Lin</text>
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                <text>Considering the significance of renewable energy in the sustainable energy future discussion, it is important to understand its influencing factors in order to draw result implications for policy formulation. This study examines these influencing factors for Ghana in the context of an unimpressive renewable electricity scale-up amid the potentials and commitment. It proceeds to forecast the trend of renewable energy fifteen years after the sample period. The results, based on the application of the Vector Error Correction Model and Johansen cointegration technique, on a dataset covering 1980 to 2015, shows that Ghana’s renewable electricity is mainly driven by foreign direct investment and trade openness, with real GDP per capita being inconsequential. What’s more, both financial development and fossil fuel consumption undermine renewable energy development in Ghana. The dynamic forecast reveals an …</text>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=qSyX_i8AAAAJ&amp;amp;citation_for_view=qSyX_i8AAAAJ:u5HHmVD_uO8C</text>
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