Tema, Ghana
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Ding W.,Weifang University | Ghansah B.,Data Link Institute | Wu Y.,Jiangsu University
International Journal of Engineering Research in Africa | Year: 2016

Virtualization and Cloud computing are two popular research directions in recent times. Today, Virtualization is being used by a growing number of organizations to reduce power consumption, Server Consolidation, Testing and Development, Dynamic Load Balancing and Disaster Recovery, Virtual Desktops and Improved System Reliability and Security. Virtualization also provides high availability for critical applications, and streamlines application deployment and migrations. Through cloud computing, Information Technology resources can be delivered as services over the Internet to the end user. Virtualization is one of such important core technologies of cloud computing. In this paper, we present a detailed review on virtualization. Furthermore, three technologies for x86 CPU virtualization and the architecture of Xen are introduced. Specifically, we propose an architecture of the cloud computing platform based on virtualization. Finally, we discuss the performance evaluation of server virtualization in saving cost, time and energy consumption. © 2016 Trans Tech Publications, Switzerland.


Ghansah N.,Data Link Institute | Ghansah B.,Data Link Institute | Ben-Bright B.,Data Link Institute | Ocquaye E.,Data Link Institute
International Journal of Engineering Research in Africa | Year: 2016

Social media has provided the platform for producers of goods and services to publicize their products and also to be more competitive through the provision of consumer feedback. In recent times, businesses and business owners are becoming more comfortable with including social media as part of their integrated marketing communications and strategies. This paper examines the role of social media as a marketing tool in stimulating demand for commodities, specifically using social media as a marketing tool to influence prospective candidates in their bid to apply to a particular tertiary institution. We examine the current marketing mix being used by Data Link University College, a private tertiary institution located in Ghana and how the inculcation of social media marketing strategies can help improve the system. © (2016) Trans Tech Publications, Switzerland.


Ghansah B.,Jiangsu University | Ghansah B.,Data Link Institute | Wu S.,Jiangsu University | Ghansah N.,Data Link Institute
Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015 | Year: 2015

The explosion of searchable text content especially on the web has rendered information to be distributed among many disjoint text information sources (Federated Search). How to merge the results returned by selected sources is a major problem of the Federated Search task. We study the problem of learning to rank a set of objects by combining various sources of ranking. The problem of merging search results arises in several domains, for example combining the results of different verticals and also Meta search applications. This paper presents a supervised learning solution to the result merging problem. Our approach combines multiple sources of evidence to inform the merging decision. We use the Rankboost Method, a boosting approach to machine learning which learns a function that merges results based on information that is readily available: i.e. the ranks, titles, summaries, URLs and click-through data, which are found in the results pages. We combine these evidences by treating result merging as a multiclass machine learning problem. By not downloading additional information such as the full document, we decrease processing cost in terms of bandwidth usage and latency. We compare our results against existing result merging methods which rely on evidence found only in ranked lists; Semi-Supervised Learning (SSL), Sample-Agglomerate Fitting Estimate (SAFE) and CORI. An extensive set of experiments demonstrates that our method is more effective than the baseline result-merging algorithm under a variety of conditions. © 2015 IEEE.


Ghansah B.,Jiangsu University | Ghansah B.,Data Link Institute | Wu S.,Jiangsu University | Ghansah N.,Data Link Institute
International Journal of Engineering Research in Africa | Year: 2016

The top-ranked documents from various information sources that are merged together into a unified ranked list may cover the same piece of relevant information, and cannot satisfy different user needs. Result diversification(RD) solves this problem by diversifying results to cover more information needs. In recent times, RD has attracted much attention as a means of increasing user satisfaction in general purpose search engines. A myriad of approaches have been proposed in the related works for the diversification problem. However, no concrete study of search result diversification has been done in a Distributed Information Retrieval(DIR) setting. In this paper, we survey, classify and propose a theoretical framework that aims at improving diversification at the result merging phase of a DIR environment. © (2016) Trans Tech Publications, Switzerland.


Benuwa B.-B.,Data Link Institute | Ghansah B.,Data Link Institute | Wornyo D.K.,Data Link Institute | Adabunu S.A.,Koforidua Polytechnic
International Journal of Engineering Research in Africa | Year: 2016

Particle swarm optimization (PSO) is a heuristic global optimization method. PSO was motivated by the social behavior of organisms, such as bird flocking, fish schooling and human social relations. Its properties of low constraint on the continuity of objective function and the ability to adapt various dynamic environments, makes PSO one of the most important swarm intelligence algorithms and ostensibly the most commonly used optimization technique. This survey presents a comprehensive investigation of PSO and in particular, a proposed theoretical framework to improve its implementation. We hope that this survey would be beneficial to researchers studying PSO algorithms and would also serve as the substratum for future research in the study area, particularly those pursuing their career in artificial intelligence. In the end, some important conclusions and possible research directions of PSO that need to be studied in the future are proposed. © 2016 Trans Tech Publications, Switzerland.


Ghansah B.,Jiangsu University | Ghansah B.,Data Link Institute | Wu S.,Jiangsu University
International Journal of Engineering Research in Africa | Year: 2015

Opposed to centralized search where Websites are crawled and indexed, Distributed Information Retrieval (DIR), also known as Federated Search, is a powerful way to comprehensively search multiple databases in real-time simultaneously. DIR is preferred to centralized search environments in a number of ways, characteristically among them are: 1. the diversity of resources that are made available; 2. improving scalability and reducing server load and network traffic; 3. the leverage of accessing the hidden or deep Web. There are three major phases/tasks of a DIR (i) resource description or collection representation (ii) resource selection and (iii) result merging. This paper aims at providing a comprehensive review on the various phases of DIR and also some current strategies being recommended in enhancing and improving the smooth implementation of a DIR system. © (2015) Trans Tech Publications, Switzerland.


Ghansah B.,Jiangsu University | Ghansah B.,Data Link Institute | Wu S.,Jiangsu University
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems | Year: 2016

Resource Selection is an important step in a federated search environment. The goal of this work was to improve the collection selection process by selecting collections in terms of relevance and diversity, to best answer a user's query. Sampled documents from the Central Sample Database are first ranked by Indri retrieval algorithm and later re-ranked by a Mean-Standard deviation method that reduces uncertainty and improves diversity of collection sources. A comparative evaluation with the R-based diversification metrics shows that the proposed method significantly outperforms the baseline diversification methods; ReDDE+MMR, ReDDE+MAP-IA and state-of-the-art resource selection methods (ReDDE and CORI) in all metrics. © 2016 World Scientific Publishing Company.


Data Link Institute | Entity website

AIMS AND OBJECTIVES OF THE PROGRAMMEThe rationale of the programmes of the Department of Human Resource Management is to develop a well-balanced and integrated programme of study that ensures that students who graduate from the programme have the knowledge, skill and competency needed to manage the human resources of an organisation which are its most valuable assets. Students are also trained to be socially and ethically responsible for managing themselves and others within the work environment ...


Data Link Institute | Entity website

Advanced Business Certificate Examination (ABCE) Diploma in Business Administration (WAEC) Duration: 2 Semester (1 year) Subjects Marketing Economics Business Finance Business Communication Human Resource Management. Diploma in Information Technology Subjects Hardware & Networking Information Systems Information Technology Marketing Human Resource Management


Data Link Institute | Entity website

Welcome to the Data Link Institute Library website. Established in 2005 the DLI Library is the main library of the Data Link Institute ...

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