Ismaeel A Sikiru | University of Ilorin (original) (raw)
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Papers by Ismaeel A Sikiru
Rising from the outbreak of COVID-19 pandemic, all schools in Nigeria were put under lock and key... more Rising from the outbreak of COVID-19 pandemic, all schools in Nigeria were put under lock and key, like other countries. This was to curtail the rapid spread of the virus, while the medical practitioners were in the laboratories. But due to longer period of shutdown to formal education, most higher institutions instantaneously keyed-in to any available social media platform (SMP) without understudying its efficiency and effectiveness for knowledge transfer. The consequences of this include non-satisfactory knowledge transfer, most especially, by the learners; hence, aim of knowledge impact is jeopardized. This study therefore is aimed to fill the gap to correct the existing damage, and prevent the likelihood of notafore-put-to-test syndrome in the subsequent choice of SMP. To achieve this, University of Ilorin is chosen as the territory survey for being the most sought-after University for admission in Nigeria. Quantitative research methods were adopted, being the most appropriate for this study in the literature. A total of 200 respondents participated voluntarily with the adoption of Slovin's formula for the sampling techniques; 156 students and 44 lecturers. The data collection process was performed through a survey comprising demographic, dichotomous, multiple choice, and open-ended questionnaire to capture detail information for the research work. Simple descriptive statistics was employed for the analysis. Our findings reveal that out of the seventeen SMPs put to test, zoom platform ranks the most effective and efficient for the knowledge delivery and acquisition by the lecturers and students of the University respectively, based on the designed principles. Therefore, making Zoom platform the most preferred for e-learning. This study recommends that choice of satisfactory SMP for knowledge delivery should be utmost concern of all institutions before embarking on virtual learning system.
Applied Sciences
Electrocardiography (ECG) is one of the most widely used recordings in clinical medicine. ECG dea... more Electrocardiography (ECG) is one of the most widely used recordings in clinical medicine. ECG deals with the recording of electrical activity that is generated by the heart through the surface of the body. The electrical activity generated by the heart is measured using electrodes that are attached to the body surface. The use of ECG in the diagnosis and management of cardiovascular disease (CVD) has been in existence for over a decade, and research in this domain has recently attracted large attention. Along this line, an expert system (ES) and decision support system (DSS) have been developed for ECG interpretation and diagnosis. However, despite the availability of a lot of literature, access to recent and more comprehensive review papers on this subject is still a challenge. This paper presents a comprehensive review of the application of ES and DSS for ECG interpretation and diagnosis. Researchers have proposed a number of features and methods for ES and DSS development that ca...
Journal of Ambient Intelligence and Humanized Computing
The success of deep learning over the traditional machine learning techniques in handling artific... more The success of deep learning over the traditional machine learning techniques in handling artificial intelligence application tasks such as image processing, computer vision, object detection, speech recognition, medical imaging and so on, has made deep learning the buzz word that dominates Artificial Intelligence applications. From the last decade, the applications of deep learning in physiological signals such as electrocardiogram (ECG) have attracted a good number of research. However, previous surveys have not been able to provide a systematic comprehensive review including biometric ECG based systems of the applications of deep learning in ECG with respect to domain of applications. To address this gap, we conducted a systematic literature review on the applications of deep learning in ECG including biometric ECG based systems. The study analyzed systematically, 150 primary studies with evidence of the application of deep learning in ECG. The study shows that the applications of deep learning in ECG have been applied in different domains. We presented a new taxonomy of the domains of application of the deep learning in ECG. The paper also presented discussions on biometric ECG based systems and meta-data analysis of the studies based on the domain, area, task, deep learning models, dataset sources and preprocessing methods. Challenges and potential research opportunities were highlighted to enable novel research. We believe that this study will be useful to both new researchers and expert researchers who are seeking to add knowledge to the already existing body of knowledge in ECG signal processing using deep learning algorithm.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 2019
This paper examines the spatial variability of duty cycle in the GSM 900 and 1800 MHz bands withi... more This paper examines the spatial variability of duty cycle in the GSM 900 and 1800 MHz bands within Kwara State, Nigeria. The results show spatial variance in the duty cycle with average occupancies of 1.67%, 17.76%, 10.55% and 0.39%, 11.00% and 5.11 in the rural, urban and all locations for 900 and 1800 MHz bands. Findings also show that there is very high positive correlation between rural 900/1800 MHz and urban 900/1800 MHz. But very high negative correlations exits between urban 900 and rural 1800, and urban 1800 and rural 1800. There is a weak and negative correlation between rural and urban 900 MHz, rural-urban 1800. These results clearly show the abundance of unutilised spectrum within the GSM bands. Therefore, regulatory commissions should adopt flexible spectrum reuse strategy to relax the regulatory bottlenecks to maximize the scarce radio resources in the licensed bands, especially for rural network deployments
Explosion in the demand for mobile applications and services necessitates the efficient utilizati... more Explosion in the demand for mobile applications and services necessitates the efficient utilization of the limited radio spectrum. Determination of a suitable detection threshold is an important aspect of spectrum occupancy measurement. Inappropriate choice of the threshold value may either increase the probability of false alarm or failure detection. However, the most appropriate threshold value is not yet clearly stated, though, the International Telecommunication Union (ITU) has provided a benchmark of 10 dB above the noise level as an acceptable threshold value. In this paper, the effects of energy detection threshold techniques on duty cycle in the GSM bands are examined. Spectrum measurements were conducted in the GSM 900 and 1800 MHz bands in Ilorin, Nigeria to cover a bandwidth of 105 MHz. Experimental results based on analytical method of determining noise level (theoretical) and those obtained based on actual measurements of the noise floor (measured) were analyzed. Findin...
Abstract:Web-based feedback systems for the purpose of evaluating and assessing academic staffs b... more Abstract:Web-based feedback systems for the purpose of evaluating and assessing academic staffs by students in higher education has been in existence in most developed and some developing countries. This has been proven to be effective as it tends to enhance academic staff performance, from the feedbacks and comments students give online. However, in developing countries like Nigeria, such feedback systems have neither been deployed nor effectively functional. Hence, in this study we develop a web-based feedback system for academic staff assessment that can be adopted by tertiary institutions. The web-based feedback system is developed using the waterfall model approach. This approach is suitable due to the possibility of following a sequential process. Also, the various modules of the online feedback system were designed using Hypertext Markup Language (HTML) for the frontend; NoSQL for the database; and PHP for processing data between the frontend and backend. The designed web-bas...
The immense improvement in digital revolution across the globe has motivated several governments ... more The immense improvement in digital revolution across the globe has motivated several governments to adopt the use of ICTs in their administrative dispositions and government-citizens transparent communications, thereby, increasing citizens’ awareness and expectations of Internet-based services. However, most e-governments adopters are yet to fulfil the goal(s) due to low level of usability delivery – accessibility, quality, and privacy, which calls for continuous evaluation of their websites. Nigeria is also not different in this global drive motive, a country with a vast landmass, made up of 36 states and Federal Capital Abuja, and 774 local governments across the 6 geopolitical regions. This study presents an evaluation of E-government website of states in Nigeria. The methodological approach employed is the use of automated tool and checklist-based evaluation approach. Our findings reveal that a substantial number of the states under investigation were found with our heuristic as...
Biocybernetics and Biomedical Engineering
Rising from the outbreak of COVID-19 pandemic, all schools in Nigeria were put under lock and key... more Rising from the outbreak of COVID-19 pandemic, all schools in Nigeria were put under lock and key, like other countries. This was to curtail the rapid spread of the virus, while the medical practitioners were in the laboratories. But due to longer period of shutdown to formal education, most higher institutions instantaneously keyed-in to any available social media platform (SMP) without understudying its efficiency and effectiveness for knowledge transfer. The consequences of this include non-satisfactory knowledge transfer, most especially, by the learners; hence, aim of knowledge impact is jeopardized. This study therefore is aimed to fill the gap to correct the existing damage, and prevent the likelihood of notafore-put-to-test syndrome in the subsequent choice of SMP. To achieve this, University of Ilorin is chosen as the territory survey for being the most sought-after University for admission in Nigeria. Quantitative research methods were adopted, being the most appropriate for this study in the literature. A total of 200 respondents participated voluntarily with the adoption of Slovin's formula for the sampling techniques; 156 students and 44 lecturers. The data collection process was performed through a survey comprising demographic, dichotomous, multiple choice, and open-ended questionnaire to capture detail information for the research work. Simple descriptive statistics was employed for the analysis. Our findings reveal that out of the seventeen SMPs put to test, zoom platform ranks the most effective and efficient for the knowledge delivery and acquisition by the lecturers and students of the University respectively, based on the designed principles. Therefore, making Zoom platform the most preferred for e-learning. This study recommends that choice of satisfactory SMP for knowledge delivery should be utmost concern of all institutions before embarking on virtual learning system.
Applied Sciences
Electrocardiography (ECG) is one of the most widely used recordings in clinical medicine. ECG dea... more Electrocardiography (ECG) is one of the most widely used recordings in clinical medicine. ECG deals with the recording of electrical activity that is generated by the heart through the surface of the body. The electrical activity generated by the heart is measured using electrodes that are attached to the body surface. The use of ECG in the diagnosis and management of cardiovascular disease (CVD) has been in existence for over a decade, and research in this domain has recently attracted large attention. Along this line, an expert system (ES) and decision support system (DSS) have been developed for ECG interpretation and diagnosis. However, despite the availability of a lot of literature, access to recent and more comprehensive review papers on this subject is still a challenge. This paper presents a comprehensive review of the application of ES and DSS for ECG interpretation and diagnosis. Researchers have proposed a number of features and methods for ES and DSS development that ca...
Journal of Ambient Intelligence and Humanized Computing
The success of deep learning over the traditional machine learning techniques in handling artific... more The success of deep learning over the traditional machine learning techniques in handling artificial intelligence application tasks such as image processing, computer vision, object detection, speech recognition, medical imaging and so on, has made deep learning the buzz word that dominates Artificial Intelligence applications. From the last decade, the applications of deep learning in physiological signals such as electrocardiogram (ECG) have attracted a good number of research. However, previous surveys have not been able to provide a systematic comprehensive review including biometric ECG based systems of the applications of deep learning in ECG with respect to domain of applications. To address this gap, we conducted a systematic literature review on the applications of deep learning in ECG including biometric ECG based systems. The study analyzed systematically, 150 primary studies with evidence of the application of deep learning in ECG. The study shows that the applications of deep learning in ECG have been applied in different domains. We presented a new taxonomy of the domains of application of the deep learning in ECG. The paper also presented discussions on biometric ECG based systems and meta-data analysis of the studies based on the domain, area, task, deep learning models, dataset sources and preprocessing methods. Challenges and potential research opportunities were highlighted to enable novel research. We believe that this study will be useful to both new researchers and expert researchers who are seeking to add knowledge to the already existing body of knowledge in ECG signal processing using deep learning algorithm.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 2019
This paper examines the spatial variability of duty cycle in the GSM 900 and 1800 MHz bands withi... more This paper examines the spatial variability of duty cycle in the GSM 900 and 1800 MHz bands within Kwara State, Nigeria. The results show spatial variance in the duty cycle with average occupancies of 1.67%, 17.76%, 10.55% and 0.39%, 11.00% and 5.11 in the rural, urban and all locations for 900 and 1800 MHz bands. Findings also show that there is very high positive correlation between rural 900/1800 MHz and urban 900/1800 MHz. But very high negative correlations exits between urban 900 and rural 1800, and urban 1800 and rural 1800. There is a weak and negative correlation between rural and urban 900 MHz, rural-urban 1800. These results clearly show the abundance of unutilised spectrum within the GSM bands. Therefore, regulatory commissions should adopt flexible spectrum reuse strategy to relax the regulatory bottlenecks to maximize the scarce radio resources in the licensed bands, especially for rural network deployments
Explosion in the demand for mobile applications and services necessitates the efficient utilizati... more Explosion in the demand for mobile applications and services necessitates the efficient utilization of the limited radio spectrum. Determination of a suitable detection threshold is an important aspect of spectrum occupancy measurement. Inappropriate choice of the threshold value may either increase the probability of false alarm or failure detection. However, the most appropriate threshold value is not yet clearly stated, though, the International Telecommunication Union (ITU) has provided a benchmark of 10 dB above the noise level as an acceptable threshold value. In this paper, the effects of energy detection threshold techniques on duty cycle in the GSM bands are examined. Spectrum measurements were conducted in the GSM 900 and 1800 MHz bands in Ilorin, Nigeria to cover a bandwidth of 105 MHz. Experimental results based on analytical method of determining noise level (theoretical) and those obtained based on actual measurements of the noise floor (measured) were analyzed. Findin...
Abstract:Web-based feedback systems for the purpose of evaluating and assessing academic staffs b... more Abstract:Web-based feedback systems for the purpose of evaluating and assessing academic staffs by students in higher education has been in existence in most developed and some developing countries. This has been proven to be effective as it tends to enhance academic staff performance, from the feedbacks and comments students give online. However, in developing countries like Nigeria, such feedback systems have neither been deployed nor effectively functional. Hence, in this study we develop a web-based feedback system for academic staff assessment that can be adopted by tertiary institutions. The web-based feedback system is developed using the waterfall model approach. This approach is suitable due to the possibility of following a sequential process. Also, the various modules of the online feedback system were designed using Hypertext Markup Language (HTML) for the frontend; NoSQL for the database; and PHP for processing data between the frontend and backend. The designed web-bas...
The immense improvement in digital revolution across the globe has motivated several governments ... more The immense improvement in digital revolution across the globe has motivated several governments to adopt the use of ICTs in their administrative dispositions and government-citizens transparent communications, thereby, increasing citizens’ awareness and expectations of Internet-based services. However, most e-governments adopters are yet to fulfil the goal(s) due to low level of usability delivery – accessibility, quality, and privacy, which calls for continuous evaluation of their websites. Nigeria is also not different in this global drive motive, a country with a vast landmass, made up of 36 states and Federal Capital Abuja, and 774 local governments across the 6 geopolitical regions. This study presents an evaluation of E-government website of states in Nigeria. The methodological approach employed is the use of automated tool and checklist-based evaluation approach. Our findings reveal that a substantial number of the states under investigation were found with our heuristic as...
Biocybernetics and Biomedical Engineering