4 10 185 https://www.repository.gctu.edu.gh/files/original/a3f9ef5f379d7092ae9a08b0c91243ff.pdf 1e37674c5b4a24954d4ab86ae04fce36 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Analysis of cement production process and review of control strategies and methods Creator An entity primarily responsible for making the resource Alexander Chokhonelidze, Forgor Lempogo, William Brown-Acquaye Description An account of the resource To develop an effective control mechanism for any industrial process it is imperative to have a deep and wide ranging understanding of the process itself. This is especially true in the case of a cement grinding circuits, which is a very complex process with very complex dynamics and multivariable environment, where all the elements are interconnected. This article is aimed at providing an in-depth analysis of the cement production process in Ghana, which is mainly limited to grinding clinker into cement and its packaging and distributing. The main equipment of grinding circuits is described and the best configurations are discussed. The second part of the article discusses the most popular control methods in use for cement grinding circuits at cement plants all over the world and the ways to select the most effective control strategies for achieving higher production rates and more efficient energy use. The control strategies used by GHACEM, the largest Ghana cement producer, are also discussed. Publisher An entity responsible for making the resource available Общество с ограниченной ответственностью Издательство Мир науки Date A point or period of time associated with an event in the lifecycle of the resource 2014 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=BDvl0VYAAAAJ&citation_for_view=BDvl0VYAAAAJ:9yKSN-GCB0IC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/1f720e9c9436b508f242f91b39226200.pdf 01332b2973a6856d7d5190b448aff0f0 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development of a matrix model of a closed cement grinding scheme Creator An entity primarily responsible for making the resource Alexander Nikolaevich Chokhonelidze, Akway Villilam Brown, Forgor Lempogo Description An account of the resource This article develops a model of a closed shredding scheme in a ball mill with a separator with high efficiency at a cement plant. Various existing approaches to the development of such models are investigated and a new one is proposed. Based on the principle of material balance and stochastic representation of particle motion in the grinding system and using grinding and classification matrices, the Markov chain model is presented for a scheme consisting of a ball mill and a separator with high efficiency. The grinding matrix is calculated using the selection and crushing functions, and the classification matrix is determined by the Tromp separator curve. The results of field experiments conducted at an experienced cement plant are used to determine model parameters. Retrospective technological data related to the operation of a pilot grinding scheme,applied to check the model and determine the limiting process conditions. Using numerical simulation, the relationships between the controlled (loading of raw materials; separator cut-off size) and the observed (cement size characteristics; productivity; specific energy consumption) parameters of the circuit are determined. Publisher An entity responsible for making the resource available Limited Liability Company «Publishing Center «Science » Date A point or period of time associated with an event in the lifecycle of the resource 2014 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=BDvl0VYAAAAJ&citation_for_view=BDvl0VYAAAAJ:ufrVoPGSRksC Language A language of the resource Russian https://www.repository.gctu.edu.gh/files/original/f551f482e79cae8fc38702fecff386ea.pdf 7f919868359936a6e2d1d1b977c9fe2e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Effect of the Load Shedding on the Qoe and Qos of Mobile Network Operators Creator An entity primarily responsible for making the resource Joseph Kweku Arthur, Lempogo Forgor, Samuel Akwasi Frimpong Description An account of the resource The telecommunication industry over the last decades have proven not only as an emerging economic sector but a rapidly growing sector with an immense chain of impacts towards the revolution of the social and economic structures of Ghana. One of the challenges faced by telecom network operators in Ghana is the frequent outage of electricity, since most of the cell sites in Ghana are powered by electricity from the national grid. The load shedding between (2012-2015) posed many challenges to the Telco's in meeting their key performance indicators to the regulator and maintaining the quality of user experience to customers. This article therefore sought to assess the impact of the load-shedding on telecom company's Quality of Service and Quality of user Experience during the peak moments of the load-shedding. Primary data used was acquired from MTN Ghana using Accra Metropolis as case study. The … Publisher An entity responsible for making the resource available IEEE Date A point or period of time associated with an event in the lifecycle of the resource 2019 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=BDvl0VYAAAAJ&citation_for_view=BDvl0VYAAAAJ:W7OEmFMy1HYC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/36d1cd3b668be4806e09cc175717e3b8.pdf 93647fca81758439e97d7fef1ff145c5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Developing A Framework for A Tactile Internet Enabled Robot Assisted Real-Time Interactive Medical System Creator An entity primarily responsible for making the resource William Brown-Acquaye, Joseph Kweku Arthur, Lempogo Forgor Description An account of the resource In this paper we outline a high-level framework and architecture for a robotic assisted real time interactive medical system for use in developing countries to help cure the acute shortage of qualified skill medical personnel in the health sector in of an internet of skills domain. We explore the application of new and innovative advancements in technological areas such as AI, 5G mobile networks, the tactile internet networks, robotics and haptic technology to aid in the digital transfer of medical expertise over a wide geographical area. We describe and propose technical specifications of such systems and review existing literature and current technologies in these areas. We interrogate the potential benefits and challenges facing the deployment of these technologies. Publisher An entity responsible for making the resource available IEEE Date A point or period of time associated with an event in the lifecycle of the resource 2019 Source A related resource from which the described resource is derived http://scholar.google.com/citations?view_op=view_citation&hl=en&user=BDvl0VYAAAAJ&citation_for_view=BDvl0VYAAAAJ:Tyk-4Ss8FVUC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/9a9f388e37e06aa4d74cc90637487fbe.pdf 5200d1878b34e57ff13b4be45e04fdef Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Security of Data on E-waste equipment to Africa: The Case of Ghana Creator An entity primarily responsible for making the resource Lempogo Forgor, William Brown-Acquaye, Joseph Kweku Arthur, Stephen Owoo Description An account of the resource As computers become old and are discarded, it is imperative that they are effectively cleansed of all personal data. As the study showed, by using a simple data recovery software, remnant data can be retrieved from some disposed computer hard drives even after they have been formatted. If hard drives are not properly cleansed of data before they are discarded, individuals and organizations run the risk of having their information recovered and exploited by people with criminal intent. The study examined discarded computer hard drives obtained from some electronic waste dumpsites and other second hand computer dealers in Ghana, in an attempt to recover remnant information from them using a data recovery software. Out of 50 hard drives examined, 39 of them representing 78% contained identifiable individual information present in them. The results from this study indicated that most individuals and … Publisher An entity responsible for making the resource available IEEE Date A point or period of time associated with an event in the lifecycle of the resource 2019 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=BDvl0VYAAAAJ&citation_for_view=BDvl0VYAAAAJ:Y0pCki6q_DkC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/7a7d034d4a6414804a95c19f812de04c.pdf b1fdae3f314d75fb9c98a7465ed2e473 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development of software for managing the grinding circuit Creator An entity primarily responsible for making the resource Alexander Nikolaevich Chokhonelidze, Brown-Aquay William of Tverskaya, Forgor Lempogo Description An account of the resource Effectively managing the grinding process is essential for increasing the productivity of the circuit and the quality of the final product, as well as for significantly reducing production costs. The article is aimed at developing software for modeling the control of the chain cement. The software product is developed using the Visual basic language. The software takes several input simulation parameters and a choice between two control methods. The article discusses two fundamentally new controller work algorithms for cement grinding, the basis of creation, which is the control theory with predictive models (UPM). Normal controls with predictive models without restrictions and predictive models with mild restrictions are analyzed. Developed software package «CEMSIM »,combining both methods is described in this article. mathematical models of the two control methods are described. a flowchart describing the management of the methodology and structure described in the article. The analysis of the results of the application of the two models in relation to the cement grinding scheme is carried out. its choice and, thus, be able to consider alternative options before making a choice. The main results and conclusions are made, and two methods of comparison and their effectiveness in grinding management are analyzedthan make a choice. The main results and conclusions are made, and two methods of comparison and their effectiveness in grinding management are analyzedthan make a choice. The main results and conclusions are made, and two methods of comparison and their effectiveness in grinding management are analyzed Publisher An entity responsible for making the resource available Limited Liability Company «Publishing Center «Science » Date A point or period of time associated with an event in the lifecycle of the resource 2014 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=BDvl0VYAAAAJ&citation_for_view=BDvl0VYAAAAJ:WF5omc3nYNoC Language A language of the resource Russian https://www.repository.gctu.edu.gh/files/original/26e9e9e5a3d6bbb40817b6f539274cd7.pdf fd0c831af34dd2a48ad9d1845cd7fb6d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Development of an automated control system for closed-circuit grinding using a control method with predictive models Creator An entity primarily responsible for making the resource Alexander Nikolaevich Chokhonelidze, Forgor Lempogo, William Brown-Aquay Description An account of the resource This article has developed a regularized predictive control based on the l2-norm of the impulse characteristic of the final duration (KIX) with entry restrictions and input speed for the model of a closed grinding scheme in a ball mill with a separator with high efficiency at a cement plant. The basis of the assessment module was a simple filter of constant power disorders. The problem of the regulator based on KIH was solved by the task of convex quadratic programming (KP) by converting the target function into a standard form. KP decided using an algorithm based on the internal point method. To assess an unknown violation, an assessment module was used by solving the optimization problem.The purpose of an automated control system is to simulate a cement grinding scheme by modeling the relationship between multiple input and output variables and providing an effective control mechanism. In this work, control with predictive models is used, which is an improvement in the classic management with negative feedback, which takes into account the prediction of the behavior of the control object to various types of input impacts. Feedback in such control systems is used to adjust inaccuracies associated with external interference and the inaccuracy of the mathematical model of the control object. The regulator relies on an empirical model of the process to ...In this work, control with predictive models is used, which is an improvement in the classic management with negative feedback, which takes into account the prediction of the behavior of the control object to various types of input impacts. Feedback in such control systems is used to adjust inaccuracies associated with external interference and the inaccuracy of the mathematical model of the control object. The regulator relies on an empirical model of the process to ...In this work, control with predictive models is used, which is an improvement in the classic management with negative feedback, which takes into account the prediction of the behavior of the control object to various types of input impacts. Feedback in such control systems is used to adjust inaccuracies associated with external interference and the inaccuracy of the mathematical model of the control object. The regulator relies on an empirical model of the process to ...associated with external interference and inaccuracy of the mathematical model of the control object. The regulator relies on an empirical model of the process to ...associated with external interference and inaccuracy of the mathematical model of the control object. The regulator relies on an empirical model of the process to ... Publisher An entity responsible for making the resource available Limited Liability Company «Publishing Center «Science » Date A point or period of time associated with an event in the lifecycle of the resource 2014 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=BDvl0VYAAAAJ&citation_for_view=BDvl0VYAAAAJ:YsMSGLbcyi4C Language A language of the resource Russian https://www.repository.gctu.edu.gh/files/original/451647077a52c2a768a427b610358a8f.pdf 638dfafa80d4cbb045dd4cafb90f6b90 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource E-consultation Acceptance in Ghana: A Quantitative Analysis and Proposed Model for Enhancing Digital Health Creator An entity primarily responsible for making the resource Mark Ofori Nketia, Manoj Maharaj Description An account of the resource This study investigates the adoption and enhancement of digital health through e-consultation in Ghana's healthcare systems. It examines the challenges hindering the successful implementation of e-consultation, including security, privacy and awareness. By conducting a quantitative analysis and proposing a comprehensive model, this study aims to provide insights into overcoming these barriers, to improve healthcare accessibility and reduce disparities through e-consultation. The research integrates the DeLone and McLean IS Success Model, focusing on quality, use, user satisfaction, and net benefits, alongside the Diffusion of Innovation theory of technology adoption. The study employs a mixed-methods approach, combining literature review and quantitative analysis. Clinicians and patients received distinct questionnaires, covering knowledge, skills, performance, safety, and e-consultation challenges. Univariate statistics provides an initial data overview, followed by factor analysis. With a Kaiser-Meyer-Olkin value of 0.710 and Bartlett's test of sphericity yielding 1300.894, the data proves suitable for factor analysis. Using Principal Axis Factoring, the study reveals significant correlations among factors: Attitude, Regulatory Framework, Diffusion, and Acceptance. Based on these findings, an E-consultation Framework is proposed, emphasizing robust E-consultation Technology Frameworks. By adopting e-consultation and advanced digital health integration, Ghana can advance healthcare accessibility, diminish disparities, and enhance citizens' well-being within the digital health domain. Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://www.journal-isi.org/index.php/isi/article/view/553 Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/849a7f21fca14617c2d03c014e314441.pdf 84f015de136159c6d4107ebf089b62a3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Batani, John 7, 12, 89 Bayaga, Anass 20 Blose, Max 187 Buhat-Mendoza, Dorothy 215 Creator An entity primarily responsible for making the resource Laurie Butgereit, Chumani Charlie, Bester Chimbo, Willie Chinyamurindi, Liezel Cilliers, Paul Danquah, Saurav Deoraj, Saheed Faremi, Yinusa Faremi, Stephen Fashoto, Emmanuel Freeman, Vusumzi Funda, Fatima Gamieldien, Dennis Gookyi, Marilou Gravides, Raymond Gyaang, Andre Henney, Sanele Hlabisa, Abdulati Jahbel Description An account of the resource Author Index Page 1 Author Index Abrahams, Shamir 175 Abugosseisa, Muna 26 Agbehadji, Israel Edem 114, 121 Agbehadzi, Richard Koblah 121 Agyemang, Justice 181 Ahmad, Tohari 52, 64 Akinnuwesi, Boluwaji 89 Akinyemi, Dr Lateef Adesola 187 Allie, Mogammad 193 Ampaguey, Jocelyn 215 Aroba, Oluwasegun Julius 38 Arthur, Ewura 1, 181 Asiedu, Derek 181 Avulekpor, Ebenezer 108 Batani, John 7, 12, 89 Bayaga, Anass 20 Blose, Max 187 Buhat-Mendoza, Dorothy 215 Butgereit, Laurie 26 Charlie, Chumani 32 Chimbo, Bester 102 Chinyamurindi, Willie 96 Cilliers, Liezel 32, 96 Danquah, Paul 1 Deoraj, Saurav 38 Faremi, Saheed 89 Faremi, Yinusa 89 Fashoto, Stephen 89 Freeman, Emmanuel 108, 114, 121 Funda, Vusumzi 44 Gamieldien, Fatima 193 Gookyi, Dennis 1, 181 Gravides, Marilou 215 Gyaang, Raymond 1 Henney, Andre 140, 193 Hlabisa, Sanele 199 Jahbel, Abdulati 52 237 2024 … Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&cstart=20&pagesize=80&citation_for_view=rQvaaoMAAAAJ:qxL8FJ1GzNcC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/bae4121a9e48a30bdd1bd4404a8d1fd9.pdf 7ff0f08de31bad1163b280533a4a63ea Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Investigating Dense Cnn Architectures: A Case Study of Facial Emotional Recognition Systems Creator An entity primarily responsible for making the resource Emmanuel Kyei, Peter Appiahene, Mighty Abra Ayidzoe, Obed Appiah, Justice Asare, Emmanuel Freeman, William Brown-Acquaye Description An account of the resource In recent years, Facial Emotional Recognition (FER) has garnered significant attention for its pivotal role across various applications, including human-computer interaction, healthcare, and sentiment analysis. This study is motivated by the need to enhance the accuracy and efficiency of FER systems, with a particular focus on leveraging Convolutional Neural Networks (CNNs) featuring dense architectures. Charles Darwin's groundbreaking work on facial expressions as indicators of human emotional states inspires this research, which aims to elevate FER systems for applications spanning therapy, human-machine interactions, and diverse domains like healthcare, education, and entertainment. While previous studies have recognized CNNs' ability to improve FER accuracy through intricate feature extraction, the evolving nature of the field calls for exploring novel CNN architectures and techniques to further enhance precision and efficiency. In this study, we develop and implement a deep learning model capable of classifying images into seven discrete emotion categories, representing universal human emotions. This objective is achieved by implementing a five-block CNN-based learning algorithm consisting of 44 layers designed to progressively capture complex facial features and expressive patterns. The CNN model performed well on FER and FERG datasets, with accuracy rates of 0.97 and 0.98, showcasing proficiency in facial expression classification. Comparative analysis highlighted its competitive accuracy, emphasizing the importance of feature extraction and architecture design. This research advances facial emotion recognition … Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&cstart=20&pagesize=80&citation_for_view=rQvaaoMAAAAJ:Wp0gIr-vW9MC Language A language of the resource English