33 10 3136 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 Engineering 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 Application of Classical Multiplicative Decomposition Time Series Predictive Model for the Forecast of Domestic Electricity Demand and Supply: A Ghanaian Context. Creator An entity primarily responsible for making the resource Ruhiya Abubakar, Amevi Acakpovi, Michael Agyare, Samuel Afoakwa Description An account of the resource In modern technology and systems modeling, electric energy forecast is extremely vital for the attainment of effective application of energy policies. This model is formulated after a thorough study of the power load conditions of Ghana and the factors that affect domestic electricity demand and supply in the country was conducted. In Ghana, the Long-range Energy Alternatives Planning (LEAP) forecast model is officially applied for electricity demand and projection of power supply which comes with forecasting errors. Thus, there exists a crucial need to develop a forecasting model for the best energy policies formulation and consequent minimization of overall forecasting error compared to the LEAP model. A step-by-step mathematical approach of forecasting time series data of all the domestic electricity demand areas of Accra, namely: Mallam, Achimota and Accra East 9-year data was applied in the forecasting … Date A point or period of time associated with an event in the lifecycle of the resource 2024 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=AhSMvB8AAAAJ&cstart=20&pagesize=80&citation_for_view=AhSMvB8AAAAJ:GnPB-g6toBAC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/3f629962b36d70a96ad9e1f618c9862b.pdf c0247ecb851411cd677f995e2a2c45ab 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 Application of FPGA to Real‐Time Machine Learning: Hardware Reservoir Computers and Software Image Processing.(2018) Creator An entity primarily responsible for making the resource Piotr, Antonik Subject The topic of the resource SOFTWARE ENGINEERING ( Real-Time Software And Systems) Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2018 Format The file format, physical medium, or dimensions of the resource pdf Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/85b55ba3c0cf570396535ba2a424ab23.pdf 785084a1d9cb8563ac63e9208ed39757 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 IT Business 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 Application of Frederick Herzberg’s Two-Factor theory in assessing and understanding employee motivation at work: a Ghanaian Perspective Creator An entity primarily responsible for making the resource Kwasi Dartey-Baah, George Kofi Amoako Description An account of the resource This paper critically examines Frederick Herzberg’s two-factor theory and assesses its application and relevance in understanding the essential factors that motivate the Ghanaian worker. The two-factor theory of motivation explains the factors that employees find satisfying and dissatisfying about their jobs. These factors are the hygiene factors and motivators. The hygiene factors when absent can lead to dissatisfaction in the work place but when fully catered for in the work environment on their own are not sufficient to satisfy workers whereas the motivators referring to the nature of the job, provide satisfaction and lead to higher motivation. This paper adds to the understanding of what motivates the Ghanaian worker most and creates the platform for a re-evaluation of the thinking and viewpoint that workers rate motivator factors higher than the hygiene factors in the work setting. Date A point or period of time associated with an event in the lifecycle of the resource 2011 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=hXmr_bYAAAAJ&citation_for_view=hXmr_bYAAAAJ:u-x6o8ySG0sC Language A language of the resource English 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 Food Science 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 Application of ISO 22000 in comparison with HACCP on industrial processing of milk chocolate. Creator An entity primarily responsible for making the resource EO Afoakwa, H Mensah-Brown, GK Crentsil, K Frimpong, F Asante Description An account of the resource Hazard analysis was conducted to identify critical control points (CCPs) during cocoa processing and milk chocolate manufacture and applied into a hazard analysis and critical control point (HACCP) plan. During the process, the different biological, physical and chemical hazards identified at each processing stage in the hazard analysis worksheet were incorporated into the HACCP plan to assess the risks associated with the processes. Physical hazards such as metals, stones, fibres, plastics and papers; chemical hazards such as pesticide residues, mycotoxins and heavy metals; and microbiological hazards such as Staphyloccous aureus, coliforms, Salmonella, Aspergillus and Penicillium were identified. ISO 22000 analysis was conducted for the determination of some pre-requisite programmes (PrPs) during the chocolate processing and compared with the HACCP system. The ISO 22000 Analysis worksheet … Date A point or period of time associated with an event in the lifecycle of the resource 2013 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=EZuX1N8AAAAJ&cstart=100&pagesize=100&citation_for_view=EZuX1N8AAAAJ:1qzjygNMrQYC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/002a289a5a1837673e1aa7e6788a7a67.pdf cd39d148949ab373ba8036cd5438eb18 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 Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images Creator An entity primarily responsible for making the resource Justice Williams Asare, William Leslie Brown-Acquaye, Martin Mabeifam Ujakpa, Emmanuel Freeman, Peter Appiahene Description An account of the resource Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning algorithms such as CNN, k-NN, Naïve Bayes, Decision Tree and SVM were utilized for the study to detect anaemia in children using conjunctiva images. The images were segmented into their various CIELAB colour space components and the ROI from each image was retrieved. The dataset was split randomly into 70:10:20, which were then used to train, validate, and test the models, as appropriate. The CNN achieved the highest accuracy (98.45 %). The findings of this study demonstrate that non-invasive techniques are essential for detecting anaemia in children. This study deploys a cost-effective mechanism, and result-orientated, to detect anaemia in developing … Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 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&citation_for_view=rQvaaoMAAAAJ:_kc_bZDykSQC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/4bfa73336b1eea9964ced17a46348b92.pdf 49c3f4108adf641ef5938029e08d00c6 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 Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images Creator An entity primarily responsible for making the resource Justice Williams Asare, William Leslie Brown-Acquaye, Martin Mabeifam Ujakpa, Emmanuel Freeman, Peter Appiahene Description An account of the resource Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning algorithms such as CNN, k-NN, Naïve Bayes, Decision Tree and SVM were utilized for the study to detect anaemia in children using conjunctiva images. The images were segmented into their various CIELAB colour space components and the ROI from each image was retrieved. The dataset was split randomly into 70:10:20, which were then used to train, validate, and test the models, as appropriate. The CNN achieved the highest accuracy (98.45 %). The findings of this study demonstrate that non-invasive techniques are essential for detecting anaemia in children. This study deploys a cost-effective mechanism, and result-orientated, to detect anaemia in developing … Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 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&citation_for_view=rQvaaoMAAAAJ:_kc_bZDykSQC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/f203e5f1bac8dc30edef66a69e00bbe0.pdf 18cd7741f6d7ad1d935d3f057fcc3529 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 Application of Macrobenthic Faunal Indices in Assesssing the Ecological Quality Status of Laloi Lagoon of Ghana Creator An entity primarily responsible for making the resource Rita Esi Ampiaw, Martin Owusu Amoamah, Iddrisu Wahab Abdul, Joseph Dadzie Description An account of the resource The aim of this study was to assess the macrobenthic fauna structure and use its indices as a tool for characterizing the ecological state of the Laloi lagoon. Thus, a field assessment of the benthos in the Laloi lagoon was carried in January 2012. Four replicate samples were taken at each station contained in three zones and analysed for their structure and composition. Twenty-one (21) species of macrobenthos belonging to 19 genera were identified. The highest number of species belonged to Polychaetes (15 species) followed by Bivalves (6 species) and 1 species of Gastropod. The grain size of sediments and total organic matter as essential factors in distribution and population diversity of macrobenthos communities were also analysed. The results showed that all of the stations were characterized by medium sand to very fine sand. Shannon-Wiener index (H'), species richness (S) and Pielou’s evenness were calculated and they revealed a high species diversity with variability in abundance within stations. The ecological indices, such as (AMBI, M-AMBI, BENTIX and H’) were also applied to the available benthic species data to determine the ecological status of the lagoon. AMBI, M-AMBI, H'and BENTIX gave different results regarding the boundaries for High, Good and Moderate and it was worse when applying H'and BENTIX. However, the index AMBI provided a more suitable evaluation of EcoQS corresponding to ‘slightly polluted’lagoons in compliance with univariate community indices. Date A point or period of time associated with an event in the lifecycle of the resource 2015 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:qjMakFHDy7sC Language A language of the resource English 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 IT Business 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 Application of Monetary Policy in Money Market - A comparative Study between Ghana and India Creator An entity primarily responsible for making the resource Richard Amponsah and Freda Quarshie Emmanuel Attah Kumah Amponsah, George Oppong Appaigyei Ampong, Stephen Owusu Afriyie, Michael Nana Owusu-Akomeah, Joseph Asare Publisher An entity responsible for making the resource available Scientific Indexing Services (SIS), ADBC, Euro Pub, Directory of Research Journal Indexing (DRJI), Euro Pub, Publons, OCLC- WorldCat, Researcher Life.... Date A point or period of time associated with an event in the lifecycle of the resource 2024 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=5gEXTVUAAAAJ&citation_for_view=5gEXTVUAAAAJ:RHpTSmoSYBkC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/a597de5f2c667b08c0b620313a40fb18.pdf e20065fa8e5f03b31cfbb5bad67a3184 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 Food Science 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 Application of multiple component constraint mixture design for studying the effect of ingredient variations on the chemical composition and physico-chemical properties of soy … Creator An entity primarily responsible for making the resource FM Kpodo, Emmanuel Ohene Afoakwa, BB Amoa, FKS Saalia, AS Budu Description An account of the resource Investigations were conducted employing a three-component constrained mixture design to formulate milk blends from soy milk, peanut milk and cow milk. Variations in chemical composition and physico-chemical properties of 10-soy-peanut-cow milk (SPCM) formulations were studied. Variations in soy-peanut-cow milk (SPCM) concentrations influenced to varying levels the chemical composition and physico-chemical properties of blends. SPCM formulations containing significant amounts of all three ingredients used (60-70% soy milk, 20-27% peanut milk and 7-20% cow milk) had high crude protein and fat values ranging from 2.20-2.51% and 5.00-6.35% respectively. Increasing soy concentrations caused relative increases in protein content while fat content increased with increasing peanut concentrations. SPCM formulations were high in the minerals Fe and Mn relative to cow milk which was high in Ca and Zn content. Trends in pH were contrary to titratable acidity and increased with increasing soy milk content but decreasing cow milk content. SPCM formulations demonstrated acceptable non-Newtonian behaviour and consistency indices. Publisher An entity responsible for making the resource available Universiti Putra Malaysia, Faculty of Food Science & Technology Date A point or period of time associated with an event in the lifecycle of the resource 2013 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=EZuX1N8AAAAJ&cstart=80&citation_for_view=EZuX1N8AAAAJ:5ugPr518TE4C Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/085e76fabe0dcf230d13fd7eb0259105.pdf a6235af9493f5b66a3fadc52fc39855d 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 Application of Network Function Virtualization in Modern Computer Environments Creator An entity primarily responsible for making the resource Živko Bojović Description An account of the resource The Internet's exponential growth is driven by the development and emergence of advanced technologies, attended by a flood of new services. The maturity of these technologies is a decisive factor in the progress of the entire telecom industry, leading to a profound transformation of computer networks from traditional, hardware-centric functions to flexible, software-based solutions. Network function virtualization (NFV), together with software-defined networking (SDN) and cloud computing, are not just key enablers, but they are the basis of more programmable networks that are able to adapt to the evolving requirements of diverse customers, ensuring a promising future for the Internet. This future implies the efficient collaboration of different software components, with the aim of improving flexibility, scalability, and the overall agility of the network. Numerous researchers and professionals today focus their research on finding solutions for the resource, service, security, and other orchestration types and further automation of the processes. The monograph focuses on the following contents: - Shortcomings in traditional networks and the primary motives and benefits of NFV implementation in network infrastructure - Fundamentals and the key components of the ETSI NFV framework - The virtualization techniques and their application in modern computing environments, with an accent on the characteristics and functionality of virtual entities (virtual machines and containers) - Containerization technology: creation and characteristics of various containers, and their orchestration and usage of the Kubernetes platform for the management of containerized workloads and services - The basic principles of NFV-based network design and the path for migration from traditional to NFV-based architecture - SDN technology, including architecture, protocols, use cases, and integration with NFV in modern networks - The role of virtualization in the clouds' architectures, types, and delivery models - Key service chaining strategies and standardized architecture for SFC deployment and SDN/NFV-based architecture for SFC deployment - The key principles of network slicing in networks with implemented NFV and SDN The monograph offers a practical blend of theoretical considerations and practical NFV implementation in modern computer environments. It is a valuable resource for students, engineers, and researchers looking for a comprehensive guide to further network softwarization and building a highly programmable, scalable, and software-based network infrastructure. Subject The topic of the resource Computer Network, Cloud Computing, Telecommunications Engineering Publisher An entity responsible for making the resource available Now Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2024 Format The file format, physical medium, or dimensions of the resource PDF Rights Information about rights held in and over the resource This work is licensed under a Creative Commons Attribution 4.0 International License Language A language of the resource English Type The nature or genre of the resource Text