BIMA JOURNAL OF SCIENCE AND TECHNOLOGY (2536-6041)
Hate speech on online social networks is a general problem across social media platforms that has... more Hate speech on online social networks is a general problem across social media platforms that has the potential of causing physical harm to the society. The growing number of hateful comments on the Internet and the rate at which tweets and posts are published per second on social media make it a challenging task to manually identify and remove the hateful commentsfrom such posts. Although numerous publications have proposed machine learning approaches to detect hate speech and other antisocial online behaviours without concentrating on blocking the hate speech from being published on social media. Similarly, prior publications on deep learning and multi-platform approaches did not work on the topic of detecting hate speech in Englishlanguage comments on Twitter and Facebook. This paper proposed a deep learning approach based on a hybrid of convolutional neural network (CNN) and long short-term memory (LSTM) with pre-trained GloVe words embedding to automatically detect and block ha...
Journal of information technology and computing, Jun 30, 2021
This research, Enhanced Security Framework for Internet Banking Services is aimed at developing a... more This research, Enhanced Security Framework for Internet Banking Services is aimed at developing a suitable framework, a system based on consolidating two algorithms, improved RSA with LSB steganography capable of providing secure transmission of customer Internet banking credentials as this is imperative since the online transactions are carried out using public networks that are vulnerable to varying forms of cyber threats and attacks on data confidentiality, integrity and authenticity. In conducting this research, a thorough analysis of the existing banking system used by most banks such as First bank, Stanbic IBTC and UBA, the FINACLE 10.8 and intellect(TM) PRIVACY security system used by POLARIS bank was carried out in order to ascertain the existing security features while at the same time, reviewing the existing, current Internet banking security models in a bid to concretely establish the gaps filled by this research. The data gathered for this research were collected using the key informant interview method (KIIM), visiting banks IT unit and observation of operational procedures and other technicalities as regards Internet security. Lecture notes, newsletters and journal articles relating to Internet banking security were thoroughly reviewed. It was however found that the existing applications were unable to stop offline credential stealing attacks, were also vulnerable to malicious attacks when credentials are stored on customer PCs. Hence, the use of steganography in this research to consolidate cryptographic algorithms (beginning from the use of PKI-cards on card readers). In building the system, the OOAD approach was used with tools such as Class Diagram, Sequence Diagram, DFDs, and UML use cases to capture the system functionalities in a bid to come up with a successful design. MATLAB R2015a was used to process images imported from JAVA platform and analysis carried out on five (5) standard gray USC-SIPI images of size 512 × 512tiff formats as data sets selected to conceal customer data after encryption by the RSA technique yielding very high PSNR and very low MSE values as required for a secure credential transmission.
Background: The processor affinity library in Java can switch ON all the processing cores availa... more Background: The processor affinity library in Java can switch ON all the processing cores available in a multi-processing environment. Using this feature will enable concurrent programmers to fully utilize the benefits of processing power available in multi-core processors. Therefore, this study aims to use processor affinity to develop four different frameworks that could optimize the efficiency of quick sorting algorithms on multi-core platforms. Methods: Benchmarking is the method used to carry out all the experiments and test the developed algorithm's efficiencies using all four frameworks. An Octa-core machine with eight (8) processing cores was used to develop and run the algorithms to measure their running times and compare their performances. JDK 12.0 is the version of Java used for development. An array data structure containing One Million Elements (1,000,000) was used as the preferred data structure. Results: The results obtained show that processor affinity can...
International Journal of Computer Applications, 2016
Tobacco smoking causes health challenges both nationally and internationally, and there is need t... more Tobacco smoking causes health challenges both nationally and internationally, and there is need to reduce tobacco consumption. To achieve this, the researchers used Case Based Reasoning (CBR) methodology and Nearest Neighbour (NN) similarity technique in developing a web-based expert system to assist in reducing the rate of tobacco consumption among adolescents. In the cause of the research, 20 related diseases to tobacco smoking were identified and stored in the knowledge based; these data were used to test 3 new cases and their inherent individual level associated to it. The new cases are tuberculosis, laryngeal cancer (throat cancer), and asthma with highest risk values of 1.0, 0.8, and 0.9 respectively. The results provided a procedure to assist adolescents (smokers) minimize tobacco consumption. The system also offers some home remedies to help them deal with nicotine withdrawal syndrome. Therefore, adolescents are advised to quit smoking in order to avoid serious health proble...
Nigerian Journal of Basic and Applied Sciences, 2022
Sorting and merging are two problems that commonly arise in Computer Science especially in data p... more Sorting and merging are two problems that commonly arise in Computer Science especially in data processing tasks. To solve these problems, several algorithms have been developed. Similarly, existing merge and sorting algorithms have been improved to provide more efficient and accurate results. In this paper, selection and merging algorithms were developed on an octa-core processing machine using System.nanoTime methods in Java in order to compare their running times. The results obtained show that Merge Sort performs far better than selection sort with careful implementations by taking advantage of multiple processing cores in the test machine and some concurrency utility in Java. It was concluded that implementing algorithms using a machine with multiple numbers of cores in their Central Processing Unit (CPU) will result in a significant improvement in the performance of both algorithms.
The individual performance is critical to the execution of institutional strategy and the achieve... more The individual performance is critical to the execution of institutional strategy and the achievement of strategic objectives of organizations. Institutions tend to put more focus on the formulation of strategies rather than on the strategy implementation, which requires good performance by all employees in the institution. Commercial off-the-shelf (COTS) Performance Management Systems (PMSs) are too generic, which have several challenges, and have resulted to concerns regarding being effective and objective by employees of some organizations. This study developed a Task-based PMS model to address the gaps identified in the current PMSs. This was achieved by review of existing performance measurement models; survey of employee’s perception on the current PMS and model design for Employee Task-based PMS. Analysis of the survey revealed that 71% of respondents do not use task-based PMS in their organization, 66% are of the opinion that the current system is ineffective and 77% opined ...
Tobacco smoking causes health challenges both nationally and internationally, and there is need t... more Tobacco smoking causes health challenges both nationally and internationally, and there is need to reduce tobacco consumption. To achieve this, the researchers used Case Based Reasoning (CBR) methodology and Nearest Neighbour (NN) similarity technique in developing a web-based expert system to assist in reducing the rate of tobacco consumption among adolescents. In the cause of the research, 20 related diseases to tobacco smoking were identified and stored in the knowledge based; these data were used to test 3 new cases and their inherent individual level associated to it. The new cases are tuberculosis, laryngeal cancer (throat cancer), and asthma with highest risk values of 1.0, 0.8, and 0.9 respectively. The results provided a procedure to assist adolescents (smokers) minimize tobacco consumption. The system also offers some home remedies to help them deal with nicotine withdrawal syndrome. Therefore, adolescents are advised to quit smoking in order to avoid serious health problems in the future.
This paper proposes a Multi-Agent based Particle Swarm Optimization (PSO) Framework for the Trave... more This paper proposes a Multi-Agent based Particle Swarm Optimization (PSO) Framework for the Traveling salesman problem (MAPSOFT). The framework is a deployment of the recently proposed intelligent multi-agent based PSO model by the authors. MAPSOFT is made up of groups of agents that interact with one another in a coordinated search effort within their environment and the solution space. A discrete version of the original multi-agent model is presented and applied to the Travelling Salesman Problem. Based on the simulation results obtained, it was observed that agents retrospectively decide on their next moves based on consistent better fitness values obtained from present and prospective neighborhoods, and by reflecting back to previous behaviors and sticking to historically better results. These overall attributes help enhance the conventional PSO by providing more intelligence and autonomy within the swarm and thus contributed to the emergence of good results for the studied prob...
Islamic University Multidisciplinary Journal (IUMJ), 2020
Nowadays, there has been an increasing demand for high-speed computation, parallel processing, an... more Nowadays, there has been an increasing demand for high-speed computation, parallel processing, and efficient algorithms to efficiently manage the rapid increase in the volume of data which gave rise to much research being carried out in concurrent applications and mechanisms to improve performances. In this paper, two parallel concurrency frameworks were developed and tested using the quick-sorting algorithm on a multiprocessor machine to compare their performances. System.nanoTime() method was used for benchmarking the two frameworks. The results show that the ServExecSort framework performs better than NaïveParallelSort on a larger array size while the NaïveParallelSortr exhibits better performance on smaller array elements. It is therefore concluded that a framework that uses separate thread pool and future to keep track of submitted tasks exhibits better performances than a framework that creates separate threads for each task which leads to large overheads and performance degradation.
This research is necessitated because of under-utilization of computing resources due to lack of ... more This research is necessitated because of under-utilization of computing resources due to lack of a campus local area network in Taraba State University (TSU), Jalingo. Related literatures on design and implementation of campus local area network were reviewed. A hybrid Bus-Star topology and hierarchical model were in the design. This was achieved using Edraw Max 7.9 Network Design Software, AutoCAD, Global Positioning System (GPS) and Google Earth Pro. The research presented a comprehensive TSU–Campus LAN and recommendation for implementation to facilitate enhanced e-learning, online applications and multimedia communication services for all campus residents in TSU, Jalingo.
BIMA JOURNAL OF SCIENCE AND TECHNOLOGY (2536-6041)
Hate speech on online social networks is a general problem across social media platforms that has... more Hate speech on online social networks is a general problem across social media platforms that has the potential of causing physical harm to the society. The growing number of hateful comments on the Internet and the rate at which tweets and posts are published per second on social media make it a challenging task to manually identify and remove the hateful commentsfrom such posts. Although numerous publications have proposed machine learning approaches to detect hate speech and other antisocial online behaviours without concentrating on blocking the hate speech from being published on social media. Similarly, prior publications on deep learning and multi-platform approaches did not work on the topic of detecting hate speech in Englishlanguage comments on Twitter and Facebook. This paper proposed a deep learning approach based on a hybrid of convolutional neural network (CNN) and long short-term memory (LSTM) with pre-trained GloVe words embedding to automatically detect and block ha...
Journal of information technology and computing, Jun 30, 2021
This research, Enhanced Security Framework for Internet Banking Services is aimed at developing a... more This research, Enhanced Security Framework for Internet Banking Services is aimed at developing a suitable framework, a system based on consolidating two algorithms, improved RSA with LSB steganography capable of providing secure transmission of customer Internet banking credentials as this is imperative since the online transactions are carried out using public networks that are vulnerable to varying forms of cyber threats and attacks on data confidentiality, integrity and authenticity. In conducting this research, a thorough analysis of the existing banking system used by most banks such as First bank, Stanbic IBTC and UBA, the FINACLE 10.8 and intellect(TM) PRIVACY security system used by POLARIS bank was carried out in order to ascertain the existing security features while at the same time, reviewing the existing, current Internet banking security models in a bid to concretely establish the gaps filled by this research. The data gathered for this research were collected using the key informant interview method (KIIM), visiting banks IT unit and observation of operational procedures and other technicalities as regards Internet security. Lecture notes, newsletters and journal articles relating to Internet banking security were thoroughly reviewed. It was however found that the existing applications were unable to stop offline credential stealing attacks, were also vulnerable to malicious attacks when credentials are stored on customer PCs. Hence, the use of steganography in this research to consolidate cryptographic algorithms (beginning from the use of PKI-cards on card readers). In building the system, the OOAD approach was used with tools such as Class Diagram, Sequence Diagram, DFDs, and UML use cases to capture the system functionalities in a bid to come up with a successful design. MATLAB R2015a was used to process images imported from JAVA platform and analysis carried out on five (5) standard gray USC-SIPI images of size 512 × 512tiff formats as data sets selected to conceal customer data after encryption by the RSA technique yielding very high PSNR and very low MSE values as required for a secure credential transmission.
Background: The processor affinity library in Java can switch ON all the processing cores availa... more Background: The processor affinity library in Java can switch ON all the processing cores available in a multi-processing environment. Using this feature will enable concurrent programmers to fully utilize the benefits of processing power available in multi-core processors. Therefore, this study aims to use processor affinity to develop four different frameworks that could optimize the efficiency of quick sorting algorithms on multi-core platforms. Methods: Benchmarking is the method used to carry out all the experiments and test the developed algorithm's efficiencies using all four frameworks. An Octa-core machine with eight (8) processing cores was used to develop and run the algorithms to measure their running times and compare their performances. JDK 12.0 is the version of Java used for development. An array data structure containing One Million Elements (1,000,000) was used as the preferred data structure. Results: The results obtained show that processor affinity can...
International Journal of Computer Applications, 2016
Tobacco smoking causes health challenges both nationally and internationally, and there is need t... more Tobacco smoking causes health challenges both nationally and internationally, and there is need to reduce tobacco consumption. To achieve this, the researchers used Case Based Reasoning (CBR) methodology and Nearest Neighbour (NN) similarity technique in developing a web-based expert system to assist in reducing the rate of tobacco consumption among adolescents. In the cause of the research, 20 related diseases to tobacco smoking were identified and stored in the knowledge based; these data were used to test 3 new cases and their inherent individual level associated to it. The new cases are tuberculosis, laryngeal cancer (throat cancer), and asthma with highest risk values of 1.0, 0.8, and 0.9 respectively. The results provided a procedure to assist adolescents (smokers) minimize tobacco consumption. The system also offers some home remedies to help them deal with nicotine withdrawal syndrome. Therefore, adolescents are advised to quit smoking in order to avoid serious health proble...
Nigerian Journal of Basic and Applied Sciences, 2022
Sorting and merging are two problems that commonly arise in Computer Science especially in data p... more Sorting and merging are two problems that commonly arise in Computer Science especially in data processing tasks. To solve these problems, several algorithms have been developed. Similarly, existing merge and sorting algorithms have been improved to provide more efficient and accurate results. In this paper, selection and merging algorithms were developed on an octa-core processing machine using System.nanoTime methods in Java in order to compare their running times. The results obtained show that Merge Sort performs far better than selection sort with careful implementations by taking advantage of multiple processing cores in the test machine and some concurrency utility in Java. It was concluded that implementing algorithms using a machine with multiple numbers of cores in their Central Processing Unit (CPU) will result in a significant improvement in the performance of both algorithms.
The individual performance is critical to the execution of institutional strategy and the achieve... more The individual performance is critical to the execution of institutional strategy and the achievement of strategic objectives of organizations. Institutions tend to put more focus on the formulation of strategies rather than on the strategy implementation, which requires good performance by all employees in the institution. Commercial off-the-shelf (COTS) Performance Management Systems (PMSs) are too generic, which have several challenges, and have resulted to concerns regarding being effective and objective by employees of some organizations. This study developed a Task-based PMS model to address the gaps identified in the current PMSs. This was achieved by review of existing performance measurement models; survey of employee’s perception on the current PMS and model design for Employee Task-based PMS. Analysis of the survey revealed that 71% of respondents do not use task-based PMS in their organization, 66% are of the opinion that the current system is ineffective and 77% opined ...
Tobacco smoking causes health challenges both nationally and internationally, and there is need t... more Tobacco smoking causes health challenges both nationally and internationally, and there is need to reduce tobacco consumption. To achieve this, the researchers used Case Based Reasoning (CBR) methodology and Nearest Neighbour (NN) similarity technique in developing a web-based expert system to assist in reducing the rate of tobacco consumption among adolescents. In the cause of the research, 20 related diseases to tobacco smoking were identified and stored in the knowledge based; these data were used to test 3 new cases and their inherent individual level associated to it. The new cases are tuberculosis, laryngeal cancer (throat cancer), and asthma with highest risk values of 1.0, 0.8, and 0.9 respectively. The results provided a procedure to assist adolescents (smokers) minimize tobacco consumption. The system also offers some home remedies to help them deal with nicotine withdrawal syndrome. Therefore, adolescents are advised to quit smoking in order to avoid serious health problems in the future.
This paper proposes a Multi-Agent based Particle Swarm Optimization (PSO) Framework for the Trave... more This paper proposes a Multi-Agent based Particle Swarm Optimization (PSO) Framework for the Traveling salesman problem (MAPSOFT). The framework is a deployment of the recently proposed intelligent multi-agent based PSO model by the authors. MAPSOFT is made up of groups of agents that interact with one another in a coordinated search effort within their environment and the solution space. A discrete version of the original multi-agent model is presented and applied to the Travelling Salesman Problem. Based on the simulation results obtained, it was observed that agents retrospectively decide on their next moves based on consistent better fitness values obtained from present and prospective neighborhoods, and by reflecting back to previous behaviors and sticking to historically better results. These overall attributes help enhance the conventional PSO by providing more intelligence and autonomy within the swarm and thus contributed to the emergence of good results for the studied prob...
Islamic University Multidisciplinary Journal (IUMJ), 2020
Nowadays, there has been an increasing demand for high-speed computation, parallel processing, an... more Nowadays, there has been an increasing demand for high-speed computation, parallel processing, and efficient algorithms to efficiently manage the rapid increase in the volume of data which gave rise to much research being carried out in concurrent applications and mechanisms to improve performances. In this paper, two parallel concurrency frameworks were developed and tested using the quick-sorting algorithm on a multiprocessor machine to compare their performances. System.nanoTime() method was used for benchmarking the two frameworks. The results show that the ServExecSort framework performs better than NaïveParallelSort on a larger array size while the NaïveParallelSortr exhibits better performance on smaller array elements. It is therefore concluded that a framework that uses separate thread pool and future to keep track of submitted tasks exhibits better performances than a framework that creates separate threads for each task which leads to large overheads and performance degradation.
This research is necessitated because of under-utilization of computing resources due to lack of ... more This research is necessitated because of under-utilization of computing resources due to lack of a campus local area network in Taraba State University (TSU), Jalingo. Related literatures on design and implementation of campus local area network were reviewed. A hybrid Bus-Star topology and hierarchical model were in the design. This was achieved using Edraw Max 7.9 Network Design Software, AutoCAD, Global Positioning System (GPS) and Google Earth Pro. The research presented a comprehensive TSU–Campus LAN and recommendation for implementation to facilitate enhanced e-learning, online applications and multimedia communication services for all campus residents in TSU, Jalingo.
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