2019 International Conference on Communications, Signal Processing and Networks (ICCSPN)最新文献

{"title":"The Effect of the Load Shedding on the Qoe and Qos of Mobile Network Operators","authors":"J. K. Arthur, Lempogo Forgor, S. Frimpong","doi":"10.1109/iccspn46366.2019.9150173","DOIUrl":"https://doi.org/10.1109/iccspn46366.2019.9150173","url":null,"abstract":"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 research used the purposive and random sampling in the conduct of the study for the collection of data. The data was analyzed using Microsoft Excel spreadsheet and the Statistical package for the Social Sciences (SPSS). The study reveals a sterling performance of MTN Ghana in meeting the QoS indicators and their respective threshold for compliance during the non-load shedding period compared to the load-shedding period. The study also revealed that 89% of the respondents were satisfied with the quality of voice call delivered by MTN Ghana. 68% of the respondents were satisfied with the quality of internet service as well.","PeriodicalId":177460,"journal":{"name":"2019 International Conference on Communications, Signal Processing and Networks (ICCSPN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132458659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Closing the revenue gap: Enforcing e-procurement as a complementary strategy to ensure voluntary compliance","authors":"Dela Heloo","doi":"10.1109/ICCSPN46366.2019.9150196","DOIUrl":"https://doi.org/10.1109/ICCSPN46366.2019.9150196","url":null,"abstract":"Tax revenue to Gross Domestic Product (GDP) is at a snail paste in developing countries, but in Africa, this is as if a spell cast on growth. According to the Africa Union, Africa loses in excess of $148 billion annually to corruption. This is estimated at about 25% of Africa's GDP. His study aims to employ the scientific study of human behavior in relation to motivation in Complex Adaptive Systems (CAS) and compliance theories to advance the understanding of the behavior of individuals operating various business entities, in order to effectively and efficiently implement adaptive strategies that will close the revenue gap. The review was conducted on a wide range of secondary data and materials on relevant theories among other scholarly writings on the subject area. This paper argues that the emergence of cooperative compliance on the African continent is just another version of a normative process that does not satisfy the rational perspective of compliance, only aimed at partially attempting the problem, but not a solution to the whole. This study views cooperative compliance as another plot to fail if government does not employ CAS strategies and policies to address the root cause(s) of corruption. The fundamental argument of this paper is that corruption is not the root cause of revenue leakages in Africa. To address the root cause(s), government should focus on system thinking to advance technological growth and innovations, specifically the expansion of internet infrastructure and accessibility to meet the over 500 billion mobile subscribers in Africa, to transform the continent onto E-procurement that indirectly enforces voluntary compliance.","PeriodicalId":177460,"journal":{"name":"2019 International Conference on Communications, Signal Processing and Networks (ICCSPN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117211268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Students' Access, Use and Perceptions of Learner Support Services Provided in a Higher Education Blended Learning Environment: An Exploratory Case Study","authors":"Stephen Asunka, Emmanuel Freeman","doi":"10.1109/ICCSPN46366.2019.9150187","DOIUrl":"https://doi.org/10.1109/ICCSPN46366.2019.9150187","url":null,"abstract":"Based on revelations in the literature that effective learner support services contribute in improving student achievement whilst reducing dropout rates, particularly in online distance learning courses, and also a discovery that the research literature largely ignore the question of learner support services to blended learners, this study explored students' access, use and perceptions of learner support services offered to blended learners at a higher education institution in Ghana. The objective was to help improve such services, and also contribute towards the evolution of best-practice strategies for providing timely and efficient learner support services in the blended learning environment, particularly under developing world conditions. 254 students participated in the study by responding to an online questionnaire. Data were analysed using simple descriptive statistics Findings reveal that students did not regularly patronize the services on offer, and those who did, hold the perceptions that such services only averagely addressed their needs, hence they felt moderately satisfied with the channels available for accessing and receiving learner support services at the institution. The implications of these findings are discussed.","PeriodicalId":177460,"journal":{"name":"2019 International Conference on Communications, Signal Processing and Networks (ICCSPN)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127812220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptation of the Okumura-Hata Model to the Environment of Accra","authors":"J. K. Arthur, Ashitei Theophilus Amartey, W. Brown-Acquaye","doi":"10.1109/ICCSPN46366.2019.9150198","DOIUrl":"https://doi.org/10.1109/ICCSPN46366.2019.9150198","url":null,"abstract":"Interference is a major drawback for cellular systems. Eliminating interference is near impossible hence the need to employ ways or algorithms to reduce or mitigate its effect. Radio Frequency interference during the propagation of a signal can degrade the quality of a cellular network (pathloss between the eNB and user equipment (UE)). With the adoption of the 4G networks in Ghana, it is imperative to explore ways by which a network can be deployed or expanded by predicting the propagation path loss. This is done by modifying the Okumura-Hata (OH) pathloss model by using the linear least squares method(LLSM) with the aim of better predicting the path loss and thereby managing interference in the environment for which it may be implemented. The modified model has proven to be an effective way of predicting the path loss for 4G networks. The terrain environment mismatch between the predicted pathloss and the proposed pathloss is taken care of by the LLSM. A standard deviation of 10.2 of the empirical model as opposed to 10.5 of the proposed model, which shows the dispersion in the data set. This makes it possible to deploy a 4G network with less pathloss in an urban city like Accra, which meets the requirements of an urban large city but with few high-rise structures.","PeriodicalId":177460,"journal":{"name":"2019 International Conference on Communications, Signal Processing and Networks (ICCSPN)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114890291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bank Classification Algorithm: Case Study of Ghanaian Banks","authors":"Peter Appiahene, Y. Missah","doi":"10.1109/ICCSPN46366.2019.9150171","DOIUrl":"https://doi.org/10.1109/ICCSPN46366.2019.9150171","url":null,"abstract":"The assessment of banks performance with respect to their efficiency is normally done using Data Envelopment Analysis (DEA) model. Determining the performance of a bank by using only its overall efficiency without taking into consideration the efficiency at the deposit stage (stage 1) and efficiency at the investment stage (stage 2) can provide misrepresentation results and unfair assessments. Literature on using a two-stage DEA model to measure and classifying the banks using data from Ghana is also scarce. The purpose is to evaluate the efficiency of bank using DEA model and also classify the bank branches into classes using a proposed Bank Classification Algorithm (BC Algorithm). The study adopted a two-stage DEA model to measure the efficiency scores of 444 Ghanaian bank branches. The efficiencies of the banks in collecting deposits as well as investing the deposit were all calculates using the CCR Two-Phase DEA BuildHull algorithm. This algorithm has its package “Robust Data Envelopment Analysis” (rDEA) version 1.2-5 was implemented in R using R studio. The proposed Bank Classification Algorithm (BC Algorithm) was used to classify the banks where efficient bank was designated as bank with efficiency score of 80% or more. For deposit stage, 72.5%of the Banks were in class 2 thus, majority of the banks even though were not efficient in using resources to collect deposit, they were able to achieve overall efficiency. Just about 10.6% of the banks were efficient in collecting deposit from customers and also achieve overall efficiency. For investment stage, 82.9% of the banks were class 2 thus, majority was not efficient deposit (stage 2) but they were able to achieve overall efficiency. Just about 16.7% (74) of the banks were not efficient in investing their deposit and also achieve overall efficiency. Finally, the results of the analysis show that majority of DMUs thus commercial bank branches in Ghana achieve greater percentage (80% or more) of performance/ overall efficiency in their dual role operations. Further work could be carried out by applying a different model or even combining machine learning algorithms such as Decision Tree, Random Forest or Neural Network with the DEA to predict the efficiency scores on these selected banks.","PeriodicalId":177460,"journal":{"name":"2019 International Conference on Communications, Signal Processing and Networks (ICCSPN)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116868960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Front Page","authors":"H. M. Hughes","doi":"10.4324/9781315125299-7","DOIUrl":"https://doi.org/10.4324/9781315125299-7","url":null,"abstract":"","PeriodicalId":177460,"journal":{"name":"2019 International Conference on Communications, Signal Processing and Networks (ICCSPN)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121307615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}