Adebola OROGUN | Adekunle Ajasin University akungba akoko ondo (original) (raw)

Papers by Adebola OROGUN

In recent times, customer behaviour models are typically based on data mining of customer data, a... more In recent times, customer behaviour models are typically based on data mining of customer data, and each model is designed to answer one question at one point in time. Predicting customer behaviour is an uncertain and difficult task. Thus, developing customer behaviour models requires the right technique and approach. Once a prediction model has been built, it is difficult to manipulate it for the purposes of the marketer, so as to determine exactly what marketing actions to take for each customer or group of customers. Despite the complexity of this formulation, most customer models are actually relatively simple. Because of this necessity, most customer behaviour models ignore so many pertinent factors that the predictions they generate are generally not very reliable. This paper aims to develop an association rule mining model to predict customer behaviour using a typical online retail store for data collection and extract important trends from the customer behaviour data.

Future Internet, Aug 26, 2019

The need for smart and sustainable communication systems has led to the development of mobile com... more The need for smart and sustainable communication systems has led to the development of mobile communication networks. In turn, the vast functionalities of the global system of mobile communication (GSM) have resulted in a growing number of subscribers. As the number of users increases, the need for efficient and effective planning of the "limited" frequency spectrum of the GSM is inevitable, particularly in densely-populated areas. As such, there are ongoing discussions about frequency (channel) allocation methods to resolve the challenges of channel allocation, which is a complete NP (Nondeterministic Polynomial time) problem. In this paper, we propose an algorithm for channel allocation which takes into account soft constraints (co-channel interference and adjacent channel interference). By using the Manhattan distance concept, this study shows that the formulation of the algorithm is correct and in line with results in the literature. Hence, the Manhattan distance concept may be useful in other scheduling and optimization problems. Furthermore, this unique concept makes it possible to develop a more sustainable telecommunication system with ease of connectivity among users, even when several subscribers are on a common frequency.

Advances in Materials Science and Engineering, May 8, 2020

is paper deals with the influence of thermal aging on physical properties of a composite material... more is paper deals with the influence of thermal aging on physical properties of a composite material, Menzolit BMC 3100. First, we present a number of analysis, FTIR (infrared spectroscopy), DSC (differential scanning calorimetry), TMA (thermomechanical analysis), TGA (thermogravimetric analysis), and HDT (heat deflection temperature), to understand the material performance under heat, and then, we carry out a test of toughness and strength using Charpy impact strength and Brinell hardness. Finally, we present optical surface analysis of the material under investigation by carrying out aging analysis at increments from room temperature up to 300°C. It was observed that above 200°C, the material begins to degrade at the surface, especially its organic component, polyester resin. is type of degradation has a negative impact on a variety of its physical properties. Exposure to temperatures above 200°C reduces the material's hardness, toughness, and shape stability, likewise, material degradation was found to increase with higher thermal loads almost linearly for all the observed properties.

Computers and Electronics in Agriculture, Apr 1, 2020

Egg production is geared towards large scale production of eggs for profit maximization and consu... more Egg production is geared towards large scale production of eggs for profit maximization and consumption. But poultry farmers are faced with challenges that affect the quantity and quality of egg production during the production life cycle such as quality of feed intake, management issues, genetic factors of the breed birds, age at egg laying period, presence of diseases, molting flock, housing and others. Several mechanical solutions have been suggested to implement the production cycle but with very high cost implication which calls for the need of soft computing methods to model the egg production process. However, modelling egg production curve is a complex task because a typical egg production curve (from week 20 to week 72) is characterized by nonlinear probabilities and imprecise knowledge in the egg production process. This paper proposes an optimal fuzzy predictive model for poultry egg production. The motivation stems from analyzing the non-linearity and imprecision in egg production which is best handled by fuzzy logic as compared to other soft computing techniques. Data samples were collected on the age of chicks, quantity of feeds, quality of feeds, body weight of chicks and total egg production as input into the proposed system. The first stage of implementation is carried out in the Statistical Package for Social Science (SPSS) software environment to perform correlation analysis while the last two stages are carried out using Fuzzy Toolbox in MATLAB based on its capability to model and simulate complex systems with robust and interpretable predictions. Gaussian membership function was used in the fuzzification process while Mamdami structure was adopted as the fuzzy inference system (FIS). Model performance evaluation showed that the proposed system performed excellently by achieving best prediction accuracy 100% Pred(30) with an approximate mean magnitude relative error (MMRE) of 0.11744 as compared to the results in the reported literature. The method has proven to be a cost-effective and simple approach to modelling through the use of samples and parameters from poultry house. ranking 19th in world hen egg production and the top producer in Africa (USDA 2013). Egg production, often seen as a commercial business, involves fulltime labour and is geared toward producing sufficient scale of eggs. Egg production can be mechanized or traditional. The latter is mostly referred to as backyard poultry or farm flock production. The process of egg production whether through mechanized or traditional means have same generic life cycle of production. Day-old chicks (DOCs) are obtained from local hatcheries licensed by international hybrid breeding companies (Ajayi, 2010). The small chicks are either brooded naturally or artificially, if brooded artificially, DOCs must be housed separately from laying chickens so as to protect the chicks from predators, diseases and catching colds. This brooding stage lasts for about eight weeks. Brooding is the process whereby the mother hen protects and warms the chicks after they have been hatched. This is an essential part for their maturity (Ajayi, 2010). During the first four weeks of life, small chicks are kept in brooding box. After the first month, they are removed

IRE Journals, Nov 27, 2019

Ease of accessibility while ensuring quality data representation is the onus of modern day "compu... more Ease of accessibility while ensuring quality data representation is the onus of modern day "computerization". In the university system, a project (a term used interchangeably with thesis) is a research work done as part of conditions for awarding a particular degree to students. A student is being allocated to a supervisor, who is to mentor and monitor the progress of the student during the period of the research work. In most cases, the Head of Department determines the allocation of students to supervisors, with the examination officer responsible for the computation of the students' scores. The major challenge of providing a repository for the past projects while ensuring that a check is done to eliminate topic duplication is still being worked on by researchers actively. In this paper, we present a project monitoring system that caters for the allocation of students to supervisors, uploading and archiving of projects, tracking of the students' progress while keeping a chat line open for ubiquitous real-time assistance to students.

International Journal of Computer Science and Mobile Computing

This paper introduces the Adaptive Accuracy Weighted Ensemble (AAWE) algorithm, strategically dev... more This paper introduces the Adaptive Accuracy Weighted Ensemble (AAWE) algorithm, strategically devised to fortify credit card fraud detection against the constant threat of concept drift. Centered on the foundational Multilayer Perceptron (MLP) classifier, AAWE seamlessly incorporates dynamic weighting mechanisms to skillfully acclimate to the ever-shifting landscape of fraudulent activities. This innovative progression substantiates AAWE's capacity to substantially augment the precision of credit card fraud detection, demonstrating adeptness in negotiating the intricate challenges presented by perpetually evolving fraudulent strategies. In the realm of credit card fraud detection, wherein subtle deviations in fraud methodologies can yield profound consequences, AAWE's intrinsic adaptability emerges as a pivotal asset. The algorithm's ability to promptly respond to concept drift nuances becomes a critical edge. With empirical evidence showcasing its commendable accuracy r...

International Journal of Computer Science and Mobile Computing

Credit card fraud is a significant concern for financial institutions and cardholders alike. As f... more Credit card fraud is a significant concern for financial institutions and cardholders alike. As fraudulent activities become more sophisticated, traditional rule-based approaches struggle to keep up. This has led to the adoption of machine learning techniques for fraud detection, which have shown promising results. However, the dynamic nature of credit card fraud poses a challenge due to the concept drift phenomenon. Concept drift refers to the changes in the underlying data distribution over time, requiring models to adapt and evolve to maintain their effectiveness. This research paper aims to provide a comprehensive comparative review of credit card fraud detection methods using machine learning and concept drift techniques. This literature review provides an overview of relevant studies comparing credit card fraud detection using machine learning techniques and concept drift handling methods. The paper evaluates the performance, strengths, and limitations of various approaches in...

International Journal of Innovative Research in Science, Engineering and Technology, Aug 1, 2019

In recent times, customer behaviour models are typically based on data mining of customer data, a... more In recent times, customer behaviour models are typically based on data mining of customer data, and each model is designed to answer one question at one point in time. Predicting customer behaviour is an uncertain and difficult task. Thus, developing customer behaviour models requires the right technique and approach. Once a prediction model has been built, it is difficult to manipulate it for the purposes of the marketer, so as to determine exactly what marketing actions to take for each customer or group of customers. Despite the complexity of this formulation, most customer models are actually relatively simple. Because of this necessity, most customer behaviour models ignore so many pertinent factors that the predictions they generate are generally not very reliable. This paper aims to develop an association rule mining model to predict customer behaviour using a typical online retail store for data collection and extract important trends from the customer behaviour data.

Communications on Applied Electronics, 2018

Android has become most popular and powerful embedded operating system. Nowadays, it is used in o... more Android has become most popular and powerful embedded operating system. Nowadays, it is used in other electronic items other than mobile phones like TV, Camera, etc. The purpose of this study is to find out the difference in performance between the different methods for developing applications due to an increasing market for platform independent applications. In this research work, we present our current findings concerning performance efficiency in cross-platform and native mobile applications (apps) and how they can contribute to a general benchmarking approach. At first, several test cases for evaluating performance of mobile applications are described with which two applications where built to implement a mathematical calculation for both native and hybrid respectively. This is used as benchmark because of the recursive nature and memory usage of both applications for CPU and memory usage. Then, the performance efficiency of native and hybrid apps is compared on a mobile device. The results show that hybrid applications still suffer performance issues in comparison to native apps. The performance deviations and reasons for them are discussed and evaluated. It is concluded that the performance of mobile applications is crucial to user experience and satisfaction.

Advances in Materials Science and Engineering, 2020

This paper deals with the influence of thermal aging on physical properties of a composite materi... more This paper deals with the influence of thermal aging on physical properties of a composite material, Menzolit BMC 3100. First, we present a number of analysis, FTIR (infrared spectroscopy), DSC (differential scanning calorimetry), TMA (thermomechanical analysis), TGA (thermogravimetric analysis), and HDT (heat deflection temperature), to understand the material performance under heat, and then, we carry out a test of toughness and strength using Charpy impact strength and Brinell hardness. Finally, we present optical surface analysis of the material under investigation by carrying out aging analysis at increments from room temperature up to 300°C. It was observed that above 200°C, the material begins to degrade at the surface, especially its organic component, polyester resin. This type of degradation has a negative impact on a variety of its physical properties. Exposure to temperatures above 200°C reduces the material’s hardness, toughness, and shape stability, likewise, material ...

Communications on Applied Electronics, May 25, 2018

Future Internet, 2019

The need for smart and sustainable communication systems has led to the development of mobile com... more The need for smart and sustainable communication systems has led to the development of mobile communication networks. In turn, the vast functionalities of the global system of mobile communication (GSM) have resulted in a growing number of subscribers. As the number of users increases, the need for efficient and effective planning of the “limited” frequency spectrum of the GSM is inevitable, particularly in densely-populated areas. As such, there are ongoing discussions about frequency (channel) allocation methods to resolve the challenges of channel allocation, which is a complete NP (Nondeterministic Polynomial time) problem. In this paper, we propose an algorithm for channel allocation which takes into account soft constraints (co-channel interference and adjacent channel interference). By using the Manhattan distance concept, this study shows that the formulation of the algorithm is correct and in line with results in the literature. Hence, the Manhattan distance concept may be ...

Computers and Electronics in Agriculture

IRE JOURNALS, 2019

Ease of accessibility while ensuring quality data representation is the onus of modern day "compu... more Ease of accessibility while ensuring quality data representation is the onus of modern day "computerization". In the university system, a project (a term used interchangeably with thesis) is a research work done as part of conditions for awarding a particular degree to students. A student is being allocated to a supervisor, who is to mentor and monitor the progress of the student during the period of the research work. In most cases, the Head of Department determines the allocation of students to supervisors, with the examination officer responsible for the computation of the students' scores. The major challenge of providing a repository for the past projects while ensuring that a check is done to eliminate topic duplication is still being worked on by researchers actively. In this paper, we present a project monitoring system that caters for the allocation of students to supervisors, uploading and archiving of projects, tracking of the students' progress while keeping a chat line open for ubiquitous real-time assistance to students.

Advances in Materials Science and Engineering, 2020

is paper deals with the influence of thermal aging on physical properties of a composite material... more is paper deals with the influence of thermal aging on physical properties of a composite material, Menzolit BMC 3100. First, we present a number of analysis, FTIR (infrared spectroscopy), DSC (differential scanning calorimetry), TMA (thermomechanical analysis), TGA (thermogravimetric analysis), and HDT (heat deflection temperature), to understand the material performance under heat, and then, we carry out a test of toughness and strength using Charpy impact strength and Brinell hardness. Finally, we present optical surface analysis of the material under investigation by carrying out aging analysis at increments from room temperature up to 300°C. It was observed that above 200°C, the material begins to degrade at the surface, especially its organic component, polyester resin. is type of degradation has a negative impact on a variety of its physical properties. Exposure to temperatures above 200°C reduces the material's hardness, toughness, and shape stability, likewise, material degradation was found to increase with higher thermal loads almost linearly for all the observed properties.

future internet , 2019

The need for smart and sustainable communication systems has led to the development of mobile com... more The need for smart and sustainable communication systems has led to the development of mobile communication networks. In turn, the vast functionalities of the global system of mobile communication (GSM) have resulted in a growing number of subscribers. As the number of users increases, the need for efficient and effective planning of the "limited" frequency spectrum of the GSM is inevitable, particularly in densely-populated areas. As such, there are ongoing discussions about frequency (channel) allocation methods to resolve the challenges of channel allocation, which is a complete NP (Nondeterministic Polynomial time) problem. In this paper, we propose an algorithm for channel allocation which takes into account soft constraints (co-channel interference and adjacent channel interference). By using the Manhattan distance concept, this study shows that the formulation of the algorithm is correct and in line with results in the literature. Hence, the Manhattan distance concept may be useful in other scheduling and optimization problems. Furthermore, this unique concept makes it possible to develop a more sustainable telecommunication system with ease of connectivity among users, even when several subscribers are on a common frequency.

ijirset , 2019

In recent times, customer behaviour models are typically based on data mining of customer data, a... more In recent times, customer behaviour models are typically based on data mining of customer data, and each model is designed to answer one question at one point in time. Predicting customer behaviour is an uncertain and difficult task. Thus, developing customer behaviour models requires the right technique and approach. Once a prediction model has been built, it is difficult to manipulate it for the purposes of the marketer, so as to determine exactly what marketing actions to take for each customer or group of customers. Despite the complexity of this formulation, most customer models are actually relatively simple. Because of this necessity, most customer behaviour models ignore so many pertinent factors that the predictions they generate are generally not very reliable. This paper aims to develop an association rule mining model to predict customer behaviour using a typical online retail store for data collection and extract important trends from the customer behaviour data.

Canadian Open Information Science and Internet Technology Journal, 2019

The introduction of internet in the buying and selling of goods and services brought about e seve... more The introduction of internet in the buying and selling of goods and services brought about e several benefits of conducting businesses online to both the buyers and the sellers. pricing are major challenges that limit the development of online businesses across the globe. Researchers have contributed several literature and models on solving the issue of pricing, but that of trust is yet to be fully explored. Trust issues arose due to the lack of physical verification as to whether the particular goods or services being paid for actually exist. Some researchers have tried to evaluate and proffer solutions to the limitation of trust in online businesses by developing various models, but the existing body of work relating to trust in e market environment is insufficient to back this up. This review paper aims to contribute to the limited literature that exist on the aspect of trust in an e directions of trust appraisal in a typical e-market environment

Pigeonhole is an internal information exchange system, used for communication in an organization.... more Pigeonhole is an internal information exchange system, used for communication in an organization. It is a creative, informal and traditional way of dropping and picking messages in a set of small open-fronted compartments usually used in a workplace or other organizations where letters or messages may be left for individuals. The chain of exchange is a kind of 'give-and-return'. It is a bi-directional 'pick-and-respond' information transmission mode. Internal and informal investigations carried out in most departments in Adekunle Ajasin University, Akungba-Akoko (AAUA), Ondo State, Nigeria, however show that the purpose of this dual-mode communication is most times defeated as recipients of pigeonhole-kept information are remote and unaware of any 'visitor' awaiting them. The researchers therefore deem it fit to close up this gap and ensure maximal consumption of the benefits pigeonhole system offers. We are therefore poised through this study, to design and implement a mobile-based, interactive and informative pigeonhole alert system that captures information meant to be archived in a pigeonhole, disseminate the information and monitor the receipt or otherwise of same with appropriate feedbacks. The proposed system allowed for easy and enhanced communication between the administrator in-charge of messages (e.g. the office clerk) and the recipients, to ensure proper dissemination of information. The design and implementation were accomplished using Java and XML components of Android Software Development Kit (SDK).

In recent times, customer behaviour models are typically based on data mining of customer data, a... more In recent times, customer behaviour models are typically based on data mining of customer data, and each model is designed to answer one question at one point in time. Predicting customer behaviour is an uncertain and difficult task. Thus, developing customer behaviour models requires the right technique and approach. Once a prediction model has been built, it is difficult to manipulate it for the purposes of the marketer, so as to determine exactly what marketing actions to take for each customer or group of customers. Despite the complexity of this formulation, most customer models are actually relatively simple. Because of this necessity, most customer behaviour models ignore so many pertinent factors that the predictions they generate are generally not very reliable. This paper aims to develop an association rule mining model to predict customer behaviour using a typical online retail store for data collection and extract important trends from the customer behaviour data.

Future Internet, Aug 26, 2019

The need for smart and sustainable communication systems has led to the development of mobile com... more The need for smart and sustainable communication systems has led to the development of mobile communication networks. In turn, the vast functionalities of the global system of mobile communication (GSM) have resulted in a growing number of subscribers. As the number of users increases, the need for efficient and effective planning of the "limited" frequency spectrum of the GSM is inevitable, particularly in densely-populated areas. As such, there are ongoing discussions about frequency (channel) allocation methods to resolve the challenges of channel allocation, which is a complete NP (Nondeterministic Polynomial time) problem. In this paper, we propose an algorithm for channel allocation which takes into account soft constraints (co-channel interference and adjacent channel interference). By using the Manhattan distance concept, this study shows that the formulation of the algorithm is correct and in line with results in the literature. Hence, the Manhattan distance concept may be useful in other scheduling and optimization problems. Furthermore, this unique concept makes it possible to develop a more sustainable telecommunication system with ease of connectivity among users, even when several subscribers are on a common frequency.

Advances in Materials Science and Engineering, May 8, 2020

is paper deals with the influence of thermal aging on physical properties of a composite material... more is paper deals with the influence of thermal aging on physical properties of a composite material, Menzolit BMC 3100. First, we present a number of analysis, FTIR (infrared spectroscopy), DSC (differential scanning calorimetry), TMA (thermomechanical analysis), TGA (thermogravimetric analysis), and HDT (heat deflection temperature), to understand the material performance under heat, and then, we carry out a test of toughness and strength using Charpy impact strength and Brinell hardness. Finally, we present optical surface analysis of the material under investigation by carrying out aging analysis at increments from room temperature up to 300°C. It was observed that above 200°C, the material begins to degrade at the surface, especially its organic component, polyester resin. is type of degradation has a negative impact on a variety of its physical properties. Exposure to temperatures above 200°C reduces the material's hardness, toughness, and shape stability, likewise, material degradation was found to increase with higher thermal loads almost linearly for all the observed properties.

Computers and Electronics in Agriculture, Apr 1, 2020

Egg production is geared towards large scale production of eggs for profit maximization and consu... more Egg production is geared towards large scale production of eggs for profit maximization and consumption. But poultry farmers are faced with challenges that affect the quantity and quality of egg production during the production life cycle such as quality of feed intake, management issues, genetic factors of the breed birds, age at egg laying period, presence of diseases, molting flock, housing and others. Several mechanical solutions have been suggested to implement the production cycle but with very high cost implication which calls for the need of soft computing methods to model the egg production process. However, modelling egg production curve is a complex task because a typical egg production curve (from week 20 to week 72) is characterized by nonlinear probabilities and imprecise knowledge in the egg production process. This paper proposes an optimal fuzzy predictive model for poultry egg production. The motivation stems from analyzing the non-linearity and imprecision in egg production which is best handled by fuzzy logic as compared to other soft computing techniques. Data samples were collected on the age of chicks, quantity of feeds, quality of feeds, body weight of chicks and total egg production as input into the proposed system. The first stage of implementation is carried out in the Statistical Package for Social Science (SPSS) software environment to perform correlation analysis while the last two stages are carried out using Fuzzy Toolbox in MATLAB based on its capability to model and simulate complex systems with robust and interpretable predictions. Gaussian membership function was used in the fuzzification process while Mamdami structure was adopted as the fuzzy inference system (FIS). Model performance evaluation showed that the proposed system performed excellently by achieving best prediction accuracy 100% Pred(30) with an approximate mean magnitude relative error (MMRE) of 0.11744 as compared to the results in the reported literature. The method has proven to be a cost-effective and simple approach to modelling through the use of samples and parameters from poultry house. ranking 19th in world hen egg production and the top producer in Africa (USDA 2013). Egg production, often seen as a commercial business, involves fulltime labour and is geared toward producing sufficient scale of eggs. Egg production can be mechanized or traditional. The latter is mostly referred to as backyard poultry or farm flock production. The process of egg production whether through mechanized or traditional means have same generic life cycle of production. Day-old chicks (DOCs) are obtained from local hatcheries licensed by international hybrid breeding companies (Ajayi, 2010). The small chicks are either brooded naturally or artificially, if brooded artificially, DOCs must be housed separately from laying chickens so as to protect the chicks from predators, diseases and catching colds. This brooding stage lasts for about eight weeks. Brooding is the process whereby the mother hen protects and warms the chicks after they have been hatched. This is an essential part for their maturity (Ajayi, 2010). During the first four weeks of life, small chicks are kept in brooding box. After the first month, they are removed

IRE Journals, Nov 27, 2019

Ease of accessibility while ensuring quality data representation is the onus of modern day "compu... more Ease of accessibility while ensuring quality data representation is the onus of modern day "computerization". In the university system, a project (a term used interchangeably with thesis) is a research work done as part of conditions for awarding a particular degree to students. A student is being allocated to a supervisor, who is to mentor and monitor the progress of the student during the period of the research work. In most cases, the Head of Department determines the allocation of students to supervisors, with the examination officer responsible for the computation of the students' scores. The major challenge of providing a repository for the past projects while ensuring that a check is done to eliminate topic duplication is still being worked on by researchers actively. In this paper, we present a project monitoring system that caters for the allocation of students to supervisors, uploading and archiving of projects, tracking of the students' progress while keeping a chat line open for ubiquitous real-time assistance to students.

International Journal of Computer Science and Mobile Computing

This paper introduces the Adaptive Accuracy Weighted Ensemble (AAWE) algorithm, strategically dev... more This paper introduces the Adaptive Accuracy Weighted Ensemble (AAWE) algorithm, strategically devised to fortify credit card fraud detection against the constant threat of concept drift. Centered on the foundational Multilayer Perceptron (MLP) classifier, AAWE seamlessly incorporates dynamic weighting mechanisms to skillfully acclimate to the ever-shifting landscape of fraudulent activities. This innovative progression substantiates AAWE's capacity to substantially augment the precision of credit card fraud detection, demonstrating adeptness in negotiating the intricate challenges presented by perpetually evolving fraudulent strategies. In the realm of credit card fraud detection, wherein subtle deviations in fraud methodologies can yield profound consequences, AAWE's intrinsic adaptability emerges as a pivotal asset. The algorithm's ability to promptly respond to concept drift nuances becomes a critical edge. With empirical evidence showcasing its commendable accuracy r...

International Journal of Computer Science and Mobile Computing

Credit card fraud is a significant concern for financial institutions and cardholders alike. As f... more Credit card fraud is a significant concern for financial institutions and cardholders alike. As fraudulent activities become more sophisticated, traditional rule-based approaches struggle to keep up. This has led to the adoption of machine learning techniques for fraud detection, which have shown promising results. However, the dynamic nature of credit card fraud poses a challenge due to the concept drift phenomenon. Concept drift refers to the changes in the underlying data distribution over time, requiring models to adapt and evolve to maintain their effectiveness. This research paper aims to provide a comprehensive comparative review of credit card fraud detection methods using machine learning and concept drift techniques. This literature review provides an overview of relevant studies comparing credit card fraud detection using machine learning techniques and concept drift handling methods. The paper evaluates the performance, strengths, and limitations of various approaches in...

International Journal of Innovative Research in Science, Engineering and Technology, Aug 1, 2019

In recent times, customer behaviour models are typically based on data mining of customer data, a... more In recent times, customer behaviour models are typically based on data mining of customer data, and each model is designed to answer one question at one point in time. Predicting customer behaviour is an uncertain and difficult task. Thus, developing customer behaviour models requires the right technique and approach. Once a prediction model has been built, it is difficult to manipulate it for the purposes of the marketer, so as to determine exactly what marketing actions to take for each customer or group of customers. Despite the complexity of this formulation, most customer models are actually relatively simple. Because of this necessity, most customer behaviour models ignore so many pertinent factors that the predictions they generate are generally not very reliable. This paper aims to develop an association rule mining model to predict customer behaviour using a typical online retail store for data collection and extract important trends from the customer behaviour data.

Communications on Applied Electronics, 2018

Android has become most popular and powerful embedded operating system. Nowadays, it is used in o... more Android has become most popular and powerful embedded operating system. Nowadays, it is used in other electronic items other than mobile phones like TV, Camera, etc. The purpose of this study is to find out the difference in performance between the different methods for developing applications due to an increasing market for platform independent applications. In this research work, we present our current findings concerning performance efficiency in cross-platform and native mobile applications (apps) and how they can contribute to a general benchmarking approach. At first, several test cases for evaluating performance of mobile applications are described with which two applications where built to implement a mathematical calculation for both native and hybrid respectively. This is used as benchmark because of the recursive nature and memory usage of both applications for CPU and memory usage. Then, the performance efficiency of native and hybrid apps is compared on a mobile device. The results show that hybrid applications still suffer performance issues in comparison to native apps. The performance deviations and reasons for them are discussed and evaluated. It is concluded that the performance of mobile applications is crucial to user experience and satisfaction.

Advances in Materials Science and Engineering, 2020

This paper deals with the influence of thermal aging on physical properties of a composite materi... more This paper deals with the influence of thermal aging on physical properties of a composite material, Menzolit BMC 3100. First, we present a number of analysis, FTIR (infrared spectroscopy), DSC (differential scanning calorimetry), TMA (thermomechanical analysis), TGA (thermogravimetric analysis), and HDT (heat deflection temperature), to understand the material performance under heat, and then, we carry out a test of toughness and strength using Charpy impact strength and Brinell hardness. Finally, we present optical surface analysis of the material under investigation by carrying out aging analysis at increments from room temperature up to 300°C. It was observed that above 200°C, the material begins to degrade at the surface, especially its organic component, polyester resin. This type of degradation has a negative impact on a variety of its physical properties. Exposure to temperatures above 200°C reduces the material’s hardness, toughness, and shape stability, likewise, material ...

Communications on Applied Electronics, May 25, 2018

Future Internet, 2019

The need for smart and sustainable communication systems has led to the development of mobile com... more The need for smart and sustainable communication systems has led to the development of mobile communication networks. In turn, the vast functionalities of the global system of mobile communication (GSM) have resulted in a growing number of subscribers. As the number of users increases, the need for efficient and effective planning of the “limited” frequency spectrum of the GSM is inevitable, particularly in densely-populated areas. As such, there are ongoing discussions about frequency (channel) allocation methods to resolve the challenges of channel allocation, which is a complete NP (Nondeterministic Polynomial time) problem. In this paper, we propose an algorithm for channel allocation which takes into account soft constraints (co-channel interference and adjacent channel interference). By using the Manhattan distance concept, this study shows that the formulation of the algorithm is correct and in line with results in the literature. Hence, the Manhattan distance concept may be ...

Computers and Electronics in Agriculture

IRE JOURNALS, 2019

Ease of accessibility while ensuring quality data representation is the onus of modern day "compu... more Ease of accessibility while ensuring quality data representation is the onus of modern day "computerization". In the university system, a project (a term used interchangeably with thesis) is a research work done as part of conditions for awarding a particular degree to students. A student is being allocated to a supervisor, who is to mentor and monitor the progress of the student during the period of the research work. In most cases, the Head of Department determines the allocation of students to supervisors, with the examination officer responsible for the computation of the students' scores. The major challenge of providing a repository for the past projects while ensuring that a check is done to eliminate topic duplication is still being worked on by researchers actively. In this paper, we present a project monitoring system that caters for the allocation of students to supervisors, uploading and archiving of projects, tracking of the students' progress while keeping a chat line open for ubiquitous real-time assistance to students.

Advances in Materials Science and Engineering, 2020

is paper deals with the influence of thermal aging on physical properties of a composite material... more is paper deals with the influence of thermal aging on physical properties of a composite material, Menzolit BMC 3100. First, we present a number of analysis, FTIR (infrared spectroscopy), DSC (differential scanning calorimetry), TMA (thermomechanical analysis), TGA (thermogravimetric analysis), and HDT (heat deflection temperature), to understand the material performance under heat, and then, we carry out a test of toughness and strength using Charpy impact strength and Brinell hardness. Finally, we present optical surface analysis of the material under investigation by carrying out aging analysis at increments from room temperature up to 300°C. It was observed that above 200°C, the material begins to degrade at the surface, especially its organic component, polyester resin. is type of degradation has a negative impact on a variety of its physical properties. Exposure to temperatures above 200°C reduces the material's hardness, toughness, and shape stability, likewise, material degradation was found to increase with higher thermal loads almost linearly for all the observed properties.

future internet , 2019

The need for smart and sustainable communication systems has led to the development of mobile com... more The need for smart and sustainable communication systems has led to the development of mobile communication networks. In turn, the vast functionalities of the global system of mobile communication (GSM) have resulted in a growing number of subscribers. As the number of users increases, the need for efficient and effective planning of the "limited" frequency spectrum of the GSM is inevitable, particularly in densely-populated areas. As such, there are ongoing discussions about frequency (channel) allocation methods to resolve the challenges of channel allocation, which is a complete NP (Nondeterministic Polynomial time) problem. In this paper, we propose an algorithm for channel allocation which takes into account soft constraints (co-channel interference and adjacent channel interference). By using the Manhattan distance concept, this study shows that the formulation of the algorithm is correct and in line with results in the literature. Hence, the Manhattan distance concept may be useful in other scheduling and optimization problems. Furthermore, this unique concept makes it possible to develop a more sustainable telecommunication system with ease of connectivity among users, even when several subscribers are on a common frequency.

ijirset , 2019

In recent times, customer behaviour models are typically based on data mining of customer data, a... more In recent times, customer behaviour models are typically based on data mining of customer data, and each model is designed to answer one question at one point in time. Predicting customer behaviour is an uncertain and difficult task. Thus, developing customer behaviour models requires the right technique and approach. Once a prediction model has been built, it is difficult to manipulate it for the purposes of the marketer, so as to determine exactly what marketing actions to take for each customer or group of customers. Despite the complexity of this formulation, most customer models are actually relatively simple. Because of this necessity, most customer behaviour models ignore so many pertinent factors that the predictions they generate are generally not very reliable. This paper aims to develop an association rule mining model to predict customer behaviour using a typical online retail store for data collection and extract important trends from the customer behaviour data.

Canadian Open Information Science and Internet Technology Journal, 2019

The introduction of internet in the buying and selling of goods and services brought about e seve... more The introduction of internet in the buying and selling of goods and services brought about e several benefits of conducting businesses online to both the buyers and the sellers. pricing are major challenges that limit the development of online businesses across the globe. Researchers have contributed several literature and models on solving the issue of pricing, but that of trust is yet to be fully explored. Trust issues arose due to the lack of physical verification as to whether the particular goods or services being paid for actually exist. Some researchers have tried to evaluate and proffer solutions to the limitation of trust in online businesses by developing various models, but the existing body of work relating to trust in e market environment is insufficient to back this up. This review paper aims to contribute to the limited literature that exist on the aspect of trust in an e directions of trust appraisal in a typical e-market environment

Pigeonhole is an internal information exchange system, used for communication in an organization.... more Pigeonhole is an internal information exchange system, used for communication in an organization. It is a creative, informal and traditional way of dropping and picking messages in a set of small open-fronted compartments usually used in a workplace or other organizations where letters or messages may be left for individuals. The chain of exchange is a kind of 'give-and-return'. It is a bi-directional 'pick-and-respond' information transmission mode. Internal and informal investigations carried out in most departments in Adekunle Ajasin University, Akungba-Akoko (AAUA), Ondo State, Nigeria, however show that the purpose of this dual-mode communication is most times defeated as recipients of pigeonhole-kept information are remote and unaware of any 'visitor' awaiting them. The researchers therefore deem it fit to close up this gap and ensure maximal consumption of the benefits pigeonhole system offers. We are therefore poised through this study, to design and implement a mobile-based, interactive and informative pigeonhole alert system that captures information meant to be archived in a pigeonhole, disseminate the information and monitor the receipt or otherwise of same with appropriate feedbacks. The proposed system allowed for easy and enhanced communication between the administrator in-charge of messages (e.g. the office clerk) and the recipients, to ensure proper dissemination of information. The design and implementation were accomplished using Java and XML components of Android Software Development Kit (SDK).