Rabiu Omeiza Isah Pf 1883 (original) (raw)

Uploads

Papers by Rabiu Omeiza Isah Pf 1883

Journal of Research in Engineering and Applied Sciences, 2021

Fuel is very important in our everyday activities, it has been used in companies, industries, org... more Fuel is very important in our everyday activities, it has been used in companies, industries, organizations and automobiles. It also serves as a means for generating electricity. Adulteration of petroleum products is hard to detect because the existing components of the fuel constitute the adulterants. The adulterants alongside other cheap hydrocarbons are mixed with the base fuel to degrade its quality and for the monetary benefits of the business vendors. This makes the adulterated fuel to pose a very serious danger to the consumers. This research project developed an IoT-based fuel adulteration detection system using a weight sensor-based technique. The IoT-based system helps to notify and give information about the fuel adulteration to the user immediately on a registered website called thingspeak. The average detection accuracy and response time of the system are 96.37% and 1.34 seconds respectively. These results emphasize the crucial function of adulteration detection system in fuels, as it detects adulteration of liquids effectively and accurately for automobile users and thereby reducing the risk of adulteration in fuels.

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 2020

Distribution transformers are a vital component of electrical power transmission and distribution... more Distribution transformers are a vital component of electrical power transmission and distribution system. Frequent Monitoring transformers faults before it occurs can help prevent transformer faults which are expensive to repair and result in a loss of energy and services. The present method of the routine manual check of transformer parameters by the electricity board has proven to be less effective. This research aims to develop a low-cost protection system for the distribution transformer making it safer with improved reliability of service to the users. Therefore, this research work investigated transformer fault types and developed a microcontroller-based system for transformer fault detection and protection system using GSM (the Global System of Mobile Communication) technology for fault reporting. The developed prototype system was tested using voltage, current and temperature, which gave a threshold voltage higher than 220 volts to be overvoltage, a load higher than 200 watt...

International Journal of Information Engineering and Electronic Business, 2017

The systems related to safety are becoming more and more important and are dependent on complex d... more The systems related to safety are becoming more and more important and are dependent on complex data both in terms of volume and variety. This is especially of importance in applications demanding data analysis, intensive maintenance and focuses on the potential threats due to possible data errors, such as railway signaling, traffic management etc. Errors in analysis of data could result in loss of many lives and financial loss such as the cases of Annabella container ship-Baltic Sea accident (United Kingdom Merchant Shipping, Regulations 2005-Regulation 5). Despite these potential errors in data leading to accidents or mishaps, this part of the system has been ignored; this study focuses on the integrity of data in safety critical applications. It did so by developing a method for building metadata through a data chain, mining this metadata and representing it in such a way that a consumer of the data can judge the integrity of the data and factor this into the decision-making aspect of their response. This research proposes a design, implementation and evaluation of a safety data model that helps to ensure integrity of data use for data analysis and decision making to prevent loss of lives and properties. Modern and sophisticated ETL software tools including Microsoft SQL Server 2012 Data Tools and Microsoft SQL Server Management Studio were explored. The data were extracted from Safety Related Condition Reports (SRCRs) dataset and used data mining techniques to transform and filter unsafe and hazardous data from the extracted data and stored the safe data into the Data Warehouses (DWs). The prototype was able to load data into designated DWs. The success of the developed model proved that the prototype was able to extract all datasets, transform and load data into the DWs and moved extracted files to archive folder within 7.406 seconds.

Wheelchair is used by individuals that find it challenging to walk. Various methods have been ado... more Wheelchair is used by individuals that find it challenging to walk. Various methods have been adopted in developing wheelchairs to suit the needs of the physically disabled using the available technologies. Problems associated with the already existing wheelchairs are difficulty in maneuvering them in a confined and constrained space and limitation in degree of movement they can achieve. The aim of this project is to develop a smart omnidirectional controlled wheelchair. The system is not only applicable for domestic use, it can also be used for sports and in the hospital. The movement of the wheelchair is controlled from a web application via Wireless Fidelity communication. The methodology employed includes designing the web application interface using Hypertext markup language and JavaScript programming language, the hardware part consists of the Raspberry Pi 3 Model B, programmed with python programming language. Then, the software and hardware part were integrated together to f...

Wheelchair is used by individuals that find it challenging to walk. Various methods have been ado... more Wheelchair is used by individuals that find it challenging to walk. Various methods have been adopted in developing wheelchairs to suit the needs of the physically disabled using the available technologies. Problems associated with the already existing wheelchairs are difficulty in maneuvering them in a confined and constrained space and limitation in degree of movement they can achieve. The aim of this project is to develop a smart omnidirectional controlled wheelchair. The system is not only applicable for domestic use, it can also be used for sports and in the hospital. The movement of the wheelchair is controlled from a web application via Wireless Fidelity communication. The methodology employed includes designing the web application interface using Hypertext markup language and JavaScript programming language, the hardware part consists of the Raspberry Pi 3 Model B, programmed with python programming language. Then, the software and hardware part were integrated together to form a complete system. The main advantage of the system is that it allows the user of a wheelchair to maneuver through a confined and constrained space and control the wheelchair remotely. The performance measure considered were the accuracy of the obstacle detection unit in detecting brick wall, metal and wood, and the response time of the wheelchair to movement commands from the web application. The average detection accuracies for the brick wall, metal, and wood were 87.37%, 94.43%, and 83.57% respectively. The average response time of the wheelchair to movement commands from the web application was 1.04 seconds.

Computer Engineering and Applications, 2021

Over the last three decades, the global population of human beings has increased at an exponentia... more Over the last three decades, the global population of human beings has increased at an exponential rate, resulting in an equal rise in the number of vehicles owned and used globally. Vehicle traffic is a major economic component in both urban and rural areas, and it requires proper management and monitoring to ensure that this mass of vehicles coexists as smoothly as possible. The amount of vehicular traffic on roads around the world, with Nigeria as a case study, results in varying degrees of traffic rule violations, especially red light jumping. To arrest offenders and resolve the weaknesses and failures of human traffic operators who cannot be everywhere at once, efficient traffic violation and number plate recognition systems are needed. There are several methods for reading characters, which can be alphabets, numbers, or alphanumeric. To minimize processing time and computational load on the machine, this research proposed k-Nearest Neighbour for plate number character recogni...

Computer Engineering and Applications, 2020

Visual Impairment is a common disability that results in poor or no eyesight, whose victims suffe... more Visual Impairment is a common disability that results in poor or no eyesight, whose victims suffer inconveniences in performing their daily tasks. Visually impaired persons require some aids to interact with their environment safely. Existing navigation systems like electronic travel aids (ETAs) are mostly cloud-based and rely heavily on the internet and google map. This implies that systems deployment in locations with poor internet facilities and poorly structured environments is not feasible. This paper proposed a smart real-time standalone route recognition system for visually impaired persons. The proposed system makes use of a pedestrian route network, an interconnection of paths and their associated route tables, for providing directions of known locations in real-time for the user. Federal University of Technology (FUT), Minna, Gidan Kwanu campus was used as the case study. The result obtained from testing of the device search strategy on the field showed that the complexity...

International Journal of Intelligent Systems and Applications, 2017

In this research work, an improved active contour method called Bat-Active Contour Method (BA-ACM... more In this research work, an improved active contour method called Bat-Active Contour Method (BA-ACM) using bat algorithm has been developed. The bat algorith m is incorporated in order to escape local min ima entrapped into by the classical active contour method, stabilize contour (snake) movement and accurately, reach boundary concavity. Then, the developed Bat-Active Contour Method was applied to a dataset of med ical images of the human heart, bone of knee and vertebra which were obtained from Auckland MRI Research Group (Card iac Atlas Website), University of Auckland. Set of similarity metrics, including Jaccard index and Dice similarity measures were adopted to evaluate the performance of the developed algorithm. Jaccard index values of 0.9310, 0.9234 and 0.8947 and Dice similarity values of 0.8341, 0.8616 and 0.9138 were obtained fro m the human heart, vertebra and bone of knee images respectively. The results obtained show high similarity measures between BA-A CM algorithm and expert segmented images. Moreso, traditional ACM produced Jaccard index values 0.5873, 0.5601, 0.6009 and Dice similarity values of 0.5974, 0.6079, 0.6102 in the hu man heart, vertebra and bone of knee images respectively. The results obtained for traditional ACM show low similarity measures between it and expertly segmented images. It is evident from the results obtained that the developed algorith m performed better co mpared to the traditional ACM.

Journal of Research in Engineering and Applied Sciences, 2021

Fuel is very important in our everyday activities, it has been used in companies, industries, org... more Fuel is very important in our everyday activities, it has been used in companies, industries, organizations and automobiles. It also serves as a means for generating electricity. Adulteration of petroleum products is hard to detect because the existing components of the fuel constitute the adulterants. The adulterants alongside other cheap hydrocarbons are mixed with the base fuel to degrade its quality and for the monetary benefits of the business vendors. This makes the adulterated fuel to pose a very serious danger to the consumers. This research project developed an IoT-based fuel adulteration detection system using a weight sensor-based technique. The IoT-based system helps to notify and give information about the fuel adulteration to the user immediately on a registered website called thingspeak. The average detection accuracy and response time of the system are 96.37% and 1.34 seconds respectively. These results emphasize the crucial function of adulteration detection system in fuels, as it detects adulteration of liquids effectively and accurately for automobile users and thereby reducing the risk of adulteration in fuels.

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 2020

Distribution transformers are a vital component of electrical power transmission and distribution... more Distribution transformers are a vital component of electrical power transmission and distribution system. Frequent Monitoring transformers faults before it occurs can help prevent transformer faults which are expensive to repair and result in a loss of energy and services. The present method of the routine manual check of transformer parameters by the electricity board has proven to be less effective. This research aims to develop a low-cost protection system for the distribution transformer making it safer with improved reliability of service to the users. Therefore, this research work investigated transformer fault types and developed a microcontroller-based system for transformer fault detection and protection system using GSM (the Global System of Mobile Communication) technology for fault reporting. The developed prototype system was tested using voltage, current and temperature, which gave a threshold voltage higher than 220 volts to be overvoltage, a load higher than 200 watt...

International Journal of Information Engineering and Electronic Business, 2017

The systems related to safety are becoming more and more important and are dependent on complex d... more The systems related to safety are becoming more and more important and are dependent on complex data both in terms of volume and variety. This is especially of importance in applications demanding data analysis, intensive maintenance and focuses on the potential threats due to possible data errors, such as railway signaling, traffic management etc. Errors in analysis of data could result in loss of many lives and financial loss such as the cases of Annabella container ship-Baltic Sea accident (United Kingdom Merchant Shipping, Regulations 2005-Regulation 5). Despite these potential errors in data leading to accidents or mishaps, this part of the system has been ignored; this study focuses on the integrity of data in safety critical applications. It did so by developing a method for building metadata through a data chain, mining this metadata and representing it in such a way that a consumer of the data can judge the integrity of the data and factor this into the decision-making aspect of their response. This research proposes a design, implementation and evaluation of a safety data model that helps to ensure integrity of data use for data analysis and decision making to prevent loss of lives and properties. Modern and sophisticated ETL software tools including Microsoft SQL Server 2012 Data Tools and Microsoft SQL Server Management Studio were explored. The data were extracted from Safety Related Condition Reports (SRCRs) dataset and used data mining techniques to transform and filter unsafe and hazardous data from the extracted data and stored the safe data into the Data Warehouses (DWs). The prototype was able to load data into designated DWs. The success of the developed model proved that the prototype was able to extract all datasets, transform and load data into the DWs and moved extracted files to archive folder within 7.406 seconds.

Wheelchair is used by individuals that find it challenging to walk. Various methods have been ado... more Wheelchair is used by individuals that find it challenging to walk. Various methods have been adopted in developing wheelchairs to suit the needs of the physically disabled using the available technologies. Problems associated with the already existing wheelchairs are difficulty in maneuvering them in a confined and constrained space and limitation in degree of movement they can achieve. The aim of this project is to develop a smart omnidirectional controlled wheelchair. The system is not only applicable for domestic use, it can also be used for sports and in the hospital. The movement of the wheelchair is controlled from a web application via Wireless Fidelity communication. The methodology employed includes designing the web application interface using Hypertext markup language and JavaScript programming language, the hardware part consists of the Raspberry Pi 3 Model B, programmed with python programming language. Then, the software and hardware part were integrated together to f...

Wheelchair is used by individuals that find it challenging to walk. Various methods have been ado... more Wheelchair is used by individuals that find it challenging to walk. Various methods have been adopted in developing wheelchairs to suit the needs of the physically disabled using the available technologies. Problems associated with the already existing wheelchairs are difficulty in maneuvering them in a confined and constrained space and limitation in degree of movement they can achieve. The aim of this project is to develop a smart omnidirectional controlled wheelchair. The system is not only applicable for domestic use, it can also be used for sports and in the hospital. The movement of the wheelchair is controlled from a web application via Wireless Fidelity communication. The methodology employed includes designing the web application interface using Hypertext markup language and JavaScript programming language, the hardware part consists of the Raspberry Pi 3 Model B, programmed with python programming language. Then, the software and hardware part were integrated together to form a complete system. The main advantage of the system is that it allows the user of a wheelchair to maneuver through a confined and constrained space and control the wheelchair remotely. The performance measure considered were the accuracy of the obstacle detection unit in detecting brick wall, metal and wood, and the response time of the wheelchair to movement commands from the web application. The average detection accuracies for the brick wall, metal, and wood were 87.37%, 94.43%, and 83.57% respectively. The average response time of the wheelchair to movement commands from the web application was 1.04 seconds.

Computer Engineering and Applications, 2021

Over the last three decades, the global population of human beings has increased at an exponentia... more Over the last three decades, the global population of human beings has increased at an exponential rate, resulting in an equal rise in the number of vehicles owned and used globally. Vehicle traffic is a major economic component in both urban and rural areas, and it requires proper management and monitoring to ensure that this mass of vehicles coexists as smoothly as possible. The amount of vehicular traffic on roads around the world, with Nigeria as a case study, results in varying degrees of traffic rule violations, especially red light jumping. To arrest offenders and resolve the weaknesses and failures of human traffic operators who cannot be everywhere at once, efficient traffic violation and number plate recognition systems are needed. There are several methods for reading characters, which can be alphabets, numbers, or alphanumeric. To minimize processing time and computational load on the machine, this research proposed k-Nearest Neighbour for plate number character recogni...

Computer Engineering and Applications, 2020

Visual Impairment is a common disability that results in poor or no eyesight, whose victims suffe... more Visual Impairment is a common disability that results in poor or no eyesight, whose victims suffer inconveniences in performing their daily tasks. Visually impaired persons require some aids to interact with their environment safely. Existing navigation systems like electronic travel aids (ETAs) are mostly cloud-based and rely heavily on the internet and google map. This implies that systems deployment in locations with poor internet facilities and poorly structured environments is not feasible. This paper proposed a smart real-time standalone route recognition system for visually impaired persons. The proposed system makes use of a pedestrian route network, an interconnection of paths and their associated route tables, for providing directions of known locations in real-time for the user. Federal University of Technology (FUT), Minna, Gidan Kwanu campus was used as the case study. The result obtained from testing of the device search strategy on the field showed that the complexity...

International Journal of Intelligent Systems and Applications, 2017

In this research work, an improved active contour method called Bat-Active Contour Method (BA-ACM... more In this research work, an improved active contour method called Bat-Active Contour Method (BA-ACM) using bat algorithm has been developed. The bat algorith m is incorporated in order to escape local min ima entrapped into by the classical active contour method, stabilize contour (snake) movement and accurately, reach boundary concavity. Then, the developed Bat-Active Contour Method was applied to a dataset of med ical images of the human heart, bone of knee and vertebra which were obtained from Auckland MRI Research Group (Card iac Atlas Website), University of Auckland. Set of similarity metrics, including Jaccard index and Dice similarity measures were adopted to evaluate the performance of the developed algorithm. Jaccard index values of 0.9310, 0.9234 and 0.8947 and Dice similarity values of 0.8341, 0.8616 and 0.9138 were obtained fro m the human heart, vertebra and bone of knee images respectively. The results obtained show high similarity measures between BA-A CM algorithm and expert segmented images. Moreso, traditional ACM produced Jaccard index values 0.5873, 0.5601, 0.6009 and Dice similarity values of 0.5974, 0.6079, 0.6102 in the hu man heart, vertebra and bone of knee images respectively. The results obtained for traditional ACM show low similarity measures between it and expertly segmented images. It is evident from the results obtained that the developed algorith m performed better co mpared to the traditional ACM.