Papers by Ibrahim Abubakar goni
Attitude of Healthcare Workers Towards the Care of the Aged Attending Primary Healthcare Centres in Fufore Local Government Area of Adamawa State
Social Science Research Network, Nov 8, 2019
Asian Journal of Applied Science and Technology, 2020
Electrical science & engineering, May 10, 2023
Image enhancement is an indispensable technique in improving the quality, brightness, contrast an... more Image enhancement is an indispensable technique in improving the quality, brightness, contrast and clarity of satellite images. The object that appears in images and variation caused by shadow, occlusion, camouflage in satellite images are the fundamental challenges posed by image enhancement techniques. The aim of this research work was to enhance satellite images of Sambisa using histogram equalization technique. MATLAB 2021 was used to implement the experiment. The results show that histogram equalization method has an excellent processing effect and it improved the brightness, contrast and clarity of the images as compared original images and the enhanced images.
Advances in networks, Nov 15, 2019
Banking system is central nervous system of any nation and cyber security and computational law i... more Banking system is central nervous system of any nation and cyber security and computational law is a major problem of banking system. The main aim of this research work is to examine the efficiency of cyber security and computational laws in Nigerian banking system, in this survey research method were used both primary and secondary data were used which includes; questionnaire, interview and internet were used in this work the data were analyzed using correlation and regression technique and Chi-square were used to test the hypothesis. From the Chi-square (x 2) distribution table, the degree of freedom 3 under the level of significance (0.05) = 7.8 15. Since the x 2 calculated is greater than x 2 statistical value i.e. 9.389>7.815, the null hypothesis is rejected and the alternative hypothesis is accepted. This means there is an efficiency of cyber security law in the Nigerian banking system.
Current Journal of Applied Science and Technology, Sep 3, 2019
Tuberculosis (TB) is a disease caused by a bacterium called Mycobacterium tuberculosis. Basically... more Tuberculosis (TB) is a disease caused by a bacterium called Mycobacterium tuberculosis. Basically there are two types of TB, latent and pulmonary TB. It symptoms include persistent cough for more than two weeks, cough with blood, night sweat, tiredness, fever, chest pain, lymph node enlargement. It treatment depends on severity level such as mild, moderate, severe and very severe and this can be obtained from TB diagnosis such as chest x-ray image, nucleic acid amplification test and culture and sensitivity. The main aim of this work is to determine severity level of TB using image processing techniques. Chest x-ray (CXR) images of TB patients were obtained from Google image. Firstly, the CXR images were enhanced from Red Green Blue (RGB) to gray image (GI) form. Secondly, GI were decomposed, convolved, compressed and filtered these processing is called image degradation. Thirdly, These GI were restored and binarized. Threshold value ≥ 53 was obtained to classify the severity level of the infected image Furthermore, average error was calculated and system performance obtained. This work revealed that image 1, 2, 6 and 11 has a total pixel value 11067, 6735, 9256 and 3894 respectively ≥ 53 which indicates that the % of the infected areas as 99.62%, 99.52%, 96.70% and 82.78% respectively which shows the severity level are very severe. While the image 3, 4, 5, 8 and 9 has a percentage of infected areas 73.13%, 72.90%, 76.80%, and 76.84% respectively which indicate the severity level as severe. Image 7 has a percentage of infected area 51.21 which shows the severity level as moderate. This research work revealed that image processing is a suitable technique for determine the severity level of TB.
Journal of Clinical Dermatology, Jan 10, 2020
Tuberculosis is a contagious disease that causes of death. The body's response to active TB infec... more Tuberculosis is a contagious disease that causes of death. The body's response to active TB infection produces inflammation that can damage the lungs. Areas affected by active TB gradually fill with scar tissue. It is spread from person-to-person. A person is often infected by inhaling the germs. Tuberculosis germs are spread into the air when a person with TB disease of the lungs or throat coughs, sneezes, speaks, or sings. These germs can stay in the air for several hours, depending on the environment. However, patients with chronic diseases, such as diabetes, chronic kidney disease, and silicosis, are at elevated risk. Finally, age younger than 4 years, long-term malnutrition, and substance abuse are independent risk factors for disease. The aim of this research work is to develop an adaptive Neuro-Fuzzy system for predicting the presence of Mycobacterium tuberculosis. The system is structured with inputs and one output of which rules were generated by the system with the help of three domain Medical expertise and are injected in to the knowledge based where the system would use this rules to make decisions and draw a conclusion. MATLAB7.0 was used to implement this experiment using fuzzy logic and Neural Network toolbox. In this experiment linguistic variables are evaluated using Gaussian membership function.
American journal of electromagnetics and applications, 2019
In this research work systematic approach were used to conduct a survey on recent contributions o... more In this research work systematic approach were used to conduct a survey on recent contributions of the authors that applied Machine learning algorithms or computational intelligence, Artificial intelligence and soft computing techniques such as Artificial Neural Network, Fuzzy logic Genetic algorithm, Artificial Immune System Swarm intelligence among others or any combination of these techniques Neuro-fuzzy, Adaptive Neuro-fuzzy, Neuro-genetic, fuzzy-genetic, and so on that is soft computing to medical diagnosis and also a systematic review on the application of wireless sensor network, wireless sensor is a veritable embedded system with a wireless communication function, and that is capable to: Collect physical quantities such as heat, humidity, temperature, vibration, radiation, sound, light, movement, etc. Convert them into digital values which are sent as sensed data to a remote processing station or base station (WSN) to medical and health care delivery. However the survey believed that combining wireless sensor network with soft computing techniques, artificial intelligence techniques can perform well in providing health care services compare to one technique because any of these techniques has certain limitations but together perhaps they two or three techniques connected together would reduce error to a minimum level.
Communications, 2019
With the advancement of technology things are becoming Simpler and easier in every aspect of life... more With the advancement of technology things are becoming Simpler and easier in every aspect of life. Automation is the use of control systems and information technologies to reduce the need for human work. Security is an essential part of our life at this crucial moment, the problems of security in our home, industry, banks, schools, hotels and even offices cannot be tackle manually. The main aim of this research work is to design and implement an intelligent and reliable security system using Passive Infrared (PIR) and Global System for mobile communication (GSM) Module embedded on Arduino Uno board. C programme is uploaded on the board using Arduino IDE. The system have surveillance over the movement of people around the house premises 7m to approach the door the security system send an SMS to a GSM phone (HTC) numbers included in the C programming codes.
Sumerianz journal of scientific research, Jun 16, 2021
In recent time deep learning has been extensively applied in satellite image analysis, the aim of... more In recent time deep learning has been extensively applied in satellite image analysis, the aim of this work was to conduct a thorough review on the application of deep learning in satellite imaging, moreover we have also provide a detail description regarding the principles of satellite image capturing, in addition to the mathematical models of image processing techniques used in satellite images such as image denoising, image filtering, image segmentation and histogram equalization. We have also discuss some of the aspect of deep learning but not in deep. Finally we have pave away for further research directions both in satellite imaging and deep learning.
Journal of computer science research, Sep 30, 2020
The mobile Cyber Crime detection is challenged by number of mobile devices (internet of things), ... more The mobile Cyber Crime detection is challenged by number of mobile devices (internet of things), large and complex data, the size, the velocity, the nature and the complexity of the data and devices has become so high that data mining techniques are no more efficient since they cannot handle Big Data and internet of things. The aim of this research work was to develop a mobile forensics framework for cybercrime detection using machine learning approach. It started when call was detected and this detection is made by machine learning algorithm furthermore intelligent mass media towers and satellite that was proposed in this work has the ability to classified calls whether is a threat or not and send signal directly to Nigerian communication commission (NCC) forensic lab for necessary action.
Image Processing Techniques and Neuro-computing Algorithms in Computer Vision
Advances in Networks
Computer vision is a multidisciplinary field that cannot be separated with image processing techn... more Computer vision is a multidisciplinary field that cannot be separated with image processing techniques and Neuro-Computing specifically Deep Learning (DL) algorithms, in recent time DL techniques enable computer vision to understand the content of an image, moreover, it is working hand in hand with image processing techniques because image preprocessing are essential components in digital image analysis. Therefore, the remarkable advancement recorded by computer vision today such as in remote sensing, security, medical imaging and robotics etc. The aim of this research work was to explored the technical and theoretical contributions of image processing techniques and DL algorithms to computer vision. A systematic method of literature review was adapted. Basic image processing techniques such as standardization, denoising, filtering, and segmentation are clearly explored, concept of DL algorithms are briefly discussed, recent reviewed articles (from 2018 to date) are obtained from top journals in computer vision thus; IEEE, Elsevier and ISPR and tabulated as a major source of information for this work. We have shown some of the software’s used for the implementation of deep learning researches in computer vision. Finally we concludes and give recommendations based on our findings.
Communications, 2021
The accurate multi-detection of objects in satellite images has become very essential due to the ... more The accurate multi-detection of objects in satellite images has become very essential due to the high criminal activities that posed security threat to humanity all over the world. However, there are significant limitations of traditional methods of multi-object detection such as matching based techniques and object based image analysis. Although Convolutional neural network and image processing techniques has been proved to be essential fields in so many applications of computer vision specifically multi-object detection, multi-object classification, object retrieval, object recognition and object segmentation in a digital image or video, however, multi-object detection especially in satellite images suffer from problems such as shadow, camouflage, and occlusion. The aim of this research work was to design a robust multi-class object detection model in satellite images using image processing techniques and convolutional neural network with a particular concern on image preprocessing, image denoising and image enhancement to enable address the issue of noise in satellite images. The Satellite image that are propose for this model is LandSat-8, because it is free access for research and have a tract record in terms of consistency. The proposed model applied supervised learning algorithm for training different samples of labeled data for the model to enable the system detect vegetation, water bodies, road networks and building. This research will enable the government to know the positions as well as the coordinates of every thick forest, drainage, road networks and buildings in the forest for security reasons. It is at the heart of this research to pave away for the full implementation of this model using either MATLAB or Python Programming.
Ethno-Religious Conflict in Taraba State and Its Implications on Socio-Economic, Political and Educational Development of Youths
International Journal of Social Sciences and Humanities Review, 2013
With over 80 ethnic groups, distributed among the two major religions (Islam and Christianity). T... more With over 80 ethnic groups, distributed among the two major religions (Islam and Christianity). There is a consensus of opinion among researchers and observers that Taraba state provides one of the best examples or case studies of ethno-religious conflicts. This is because, since the creation of the State; from the defunct Gongola in 1991 it has become a permanent flashpoint of one form of ethno-religious conflict or the other. These were characterized by genocidal attacks, maiming and killings of several persons, loss of business investments, and properties worth several billions of Naira. Within the space of twenty three years of its existence, several violent, political ethno-religious conflicts have been reported in the State and all effort to restore peace has not achieved the desired end. This paper examines the manifestations of ethno-religious conflicts in the state, their implications on the socio-economic, political and educational development of youths; who are considered...
In this research work, a fuzzy logic system for inflation control in Nigerian economy is presente... more In this research work, a fuzzy logic system for inflation control in Nigerian economy is presented. The system consists of four (4) major components which include; the Knowledge base, the Fuzzification, the Inference engine and Defuzzification. Knowledge base were developed based on the discussion with the domain expert and observations of the Nigerian economy. Mamdani's fuzzy inference engine were used to infer data from the rules developed. This resulted in the establishment of some degrees of membership functions of input variables on the output. The methodology allows for High, Low, Yes and No to be applied in order to get the required result. Gaussian membership function was employed to evaluate the degree of participation of each input parameter and the defuzzification technique used in this work is Centriod of Area. Fuzzy logic system has been developed as an alternative to the traditional methods, in order to control inflation in the Nigerian economy.
Fuzzy logic lies in the ability to process nonlinear relationships. Because of the clinical compl... more Fuzzy logic lies in the ability to process nonlinear relationships. Because of the clinical complexity and pathologic heterogeneity of various diseases, correct identification of patients with active disease likely depends on the presence of a single defining feature. Hence, it is not surprising that standard linear statistical methodologies are relatively inadequate for medical diagnosis. In the medical field, dealing with diagnosis error and several levels of uncertainties and imprecision in the diagnoses of diseases had been a great challenge. To solve such problems, artificial intelligence gives a solution through expert system. Fuzzy Logic handles uncertainties, imprecisions and obscurity in decision making. Fuzzy logic is been preferred by Researchers because of its flexible structure and use of intuitive methods instead of specific algorithm. It deals with the degree of membership as it refers to the extent to which an event occurred or can occur. Fuzzy set uses the continuum...
Archives of Applied Science Research, 2018
This research work is for the design of fuzzy logic based expert system to predict student academ... more This research work is for the design of fuzzy logic based expert system to predict student academic performance in Adamawa State University Mubi; Fuzzy Inference System (FIS) is used in this work, Gaussian membership function is used in this research work; the described experiments were implemented on MATLAB environment 12. Some candidates were used to test the system. The results of the findings reveal that Student academic performance can be predicted based on the inputs used, the system shows 90% accuracy.
Archives of Applied Science Research, 2017
This research is aimed at developing Neuro-fuzzy system that would determine the severity level o... more This research is aimed at developing Neuro-fuzzy system that would determine the severity level of Osteomyelitis (OM) and control. Osteomyelitis is a major disease causing disability and reduction in quality of life. The symptoms of Osteomyelitis were analyzed based on the proper discussion with Experts to gather information about possible symptoms which are used as inputs parameters to the system four (4) inputs were used in this study that is pain, swelling, fever and age with their respective linguistic variables, one hundred and five (105) rules were generated for the system to draw conclusion Neuro-fuzzy methodology and triangular membership function is used throughout this experiment MATLAB 7.0 is used to implement this experiment. This study has paved a way to the creation of intelligent system that would determine the severity level of any kind of disease.
International Journal of Computational Science, Information Technology and Control Engineering, 2018
Tuberculosis is the second leading cause of death from an infectious disease worldwide, after the... more Tuberculosis is the second leading cause of death from an infectious disease worldwide, after the human immunodeficiency virus. The main aim of this research work is to develop a Neuro-Fuzzy system for diagnosing tuberculosis. The system is structured with to accept symptoms with the help of three domain Medical expertise as inputs that are used to automatically generate rules that are injected in to the knowledge based where the system would use to make decisions and draw a conclusion. MATLAB 7.0 is used to implement this experiment using fuzzy logic and Neural Network toolbox. In this experiment linguistic variables are evaluated using Gaussian membership function. This system will offer potential assistance to medical practitioners and healthcare sector in making prompt decision during the diagnosis of tuberculosis. In this work basic emblematic approach using Neuro-fuzzy methodology is presented that describes a technique to forecast the existence of mycobacterium and provides support platform to researchers in the related field.
Semiconductor Science and Information Devices, 2020
E-Government is the use of information and communication Technologies (ICT) such as internet, sma... more E-Government is the use of information and communication Technologies (ICT) such as internet, smart phones, telecommunication, mobile company among others to interact between government and the citizens in running the affairs of the country such as decision making etc. The impact and potential of ICTs have not been fully exploited in the Nigerian context, leaving government in a weak position to formulate policy comprehensively and implement plans effectively. Despite the fact that E-government has been implemented for a while now in Federal Capital Territory (FCT) of Nigeria Abuja, but its effectiveness is not impressive. The citizens connection to the government is limited it can be improved more easily using electronic means of communication, A reduction in corruption cases as accountability and transparency can also be increased, Equal opportunity will be given to all to access information irrespective of the person’s physical location or disability and the elimination of the bu...
Mathematics and Computer Science, 2019
Diabetes is a chronic disease that occurs when the pancreas does not produce enough insulin. The ... more Diabetes is a chronic disease that occurs when the pancreas does not produce enough insulin. The main aim of this research work was to determine the blood glucose level of diabetic patient using adaptive Neuro-fuzzy. Data of 80 diabetic patients were collected from Federal Medical Centre Jalingo. It was used for training and testing the system, Gaussian Membership function was used, hybrid training algorithm was used for training and testing, the error obtain is 0.0008333 at epoch 4 which shows that the training performance is exactly 99.99% and testing performance of the system are 99.99% at epoch 4. This shows that adaptive Neuro-fuzzy system can be applied to medical diagnosis because of the error obtained.
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Papers by Ibrahim Abubakar goni