Advances In Image And Video Processing

 Journal

 Lossless JPEG-Huffman Model For Digital Image Compression

 Iwasokun G. B.

 2019

The transmission of digital images has been bedevilled with limitation of storage and bandwidth capacities. One of the common strategies to resolving this limitation is to perform pre-transmission compression on the images. In this research, a lossless Joint Photography Expert Group (JPEG) and Huffman algorithms-based model for digital image compression is proposed. The lossless JPEG component of the model was used to perform Differential Pulse Coding Modulation (DPCM) on the pixels while adaptive Huffman coding was used for quality improvement and standardization. The implementation was carried out in an environment characterized by Windows 10 with Visual Basic as frontend on Personal Computer with 4 GB RAM, 500 GB ROM and 2.2 Ghz Core i3 Processor. The experimental images used for testing the algorithms were acquired from Signal and Image Processing Institute in the University of Southern California (USC-SIPI). Camera (Nikon D7000) and Geographical Information System (GIS) images were also used. Quantitative analyses of the experimental results and performance evaluation using Compression Ratio (CR), Bits per pixel (Bpp), Maximum Difference (MD), Mean Square Error (MSE), Root Mean Square Error (RMSE), Peak Signal Noise Ratio (PSNR), Average Difference (AD) and Structural Content (SC) were carried out. The analyses showed good compression rates and ratios for the proposed model. The superiority of the integrated model over some existing and related ones is also established. 

 Journal Of Financial Crime,

 Journal

 Factor Analysis Of Financial Crime-Related Issues

 Iwasokun G. B., Akinyede R. O., Fadamiro C. F.

 2019

The purpose of this paper is to propose indices that were freely considered as relevant for the analysis of financial crime-related issues in Nigeria and list them in the questionnaire that was administered across the six geo-political zones of the country to obtain relevant data that are useful for factor analysis of financial crime-related issues. Design/methodology/approach – The research methodology involved data survey, preparation and normalization. Followed by principal component analysis-based factor analysis and then, results and interpretation. Findings – The results of factor analysis placed high premium on government policies and regulations, responses and management, capacity building and awareness and litigation as the major issues for safe and secure financial system in Nigeria. Findings from the research also established that systemic ways of ensuring that citizens adopt technical know-how for national development rather than committing crimes should be introduced and enforced by the Nigerian government. Originality/value – The research formulated some indices and established some models for the analysis. 

 Artificial Intelligence Research,

 Journal

 Hybrid Human Resources Localization And Tracking System

 Adewole D. B., Akinyokun O. C., Iwasokun G. B.

 2019

Organizational success and productivity depend on the effective and efficient utilization of Human Resources (HR). In view of the importance of HR, organizations put high premium on their safety, wellbeing and adequate monitoring. Several researchers have come up with solutions for monitoring HR movements but the major challenge has been the inability of a single technique to adequately and comprehensively monitor and provide accurate positioning data due to the changing environments of the workplace. This paper presents the implementation of a hybrid HR monitoring system using Global Positioning System (GPS), Radio Frequency Identification (RFID), cameras and sensors. The model is implemented using Python programming language as frontend and MySQL database management system as backend. Case study of the monitoring of selected staff of Information and Communication Technology Application Centre (ICTAC) of Adekunle Ajasin University, Akungba-Akoko, Nigeria was used to test the adequacy and practical functions of the model. Obtained data on positioning accuracy, signal sensitivity, cost of deployment and coverage area formed the basis for evaluation and comparative analysis. 

 International Journal Of Cyber-Security And Digital Forensics

 Journal

 Principal Component Analysis-Based Investigation Into The Causal Factors Of Financial Crime

 Iwasokun G. B., Akinyede R. O. & Fadamiro C. F.

 2018

This paper proposes twenty investigative indices that were freely considered by the authors as relevant for the determination and evaluation of the causal factors of financial crimes in Nigeria. The indices are contained in the questionnaire that was administered on twenty one out of thirty six states that span the six geo-political zones of Nigeria to obtain relevant data. Copies of the questionnaire were administered at meetings with stakeholders of banks, insurance companies, educational institutions and other relevant government and private owned establishments. The data obtained were subjected to Principal Components Analysis (PCA) using SPSS. From the analysis, four causal factors of financial crimes in Nigeria were obtained with different set of indices. The obtained factors are technology and social pressure, poor governance, economic pressure and religion and self-centredness. The percentage contribution of each factor to the spate of financial crime in Nigeria was estimated with each percentage contribution exhibiting the degree of relevance of the associated indices. The percentage contributions of the extracted factors was less than 100, which showed that the performance indices of some extraneous factors which contribute in no small measure to the current level of financial crimes in Nigerian were not given consideration in the research instrument. Such extraneous factors include but not limited to research and cultural influences. Moreover, a factor scores coefficient matrix was generated and used to estimate and rank the contribution of each respondent to each factor. 

 International Journal Of Cyber-Security And Digital Forensics

 Journal

 Encryption And Tokenization-Based System For Credit Card Information Security

 Iwasokun G. B., Omomule T. G., Akinyede R. O.

 2018

Financial crime is presently a very serious threat to the global, regional and national economies as it manifests itself in several financial institutions and government agencies. One of the reasons for the thriving status of the menace has been lack of globally acknowledged counter measures. Based on this, twenty eight indices that were considered to be related to financial crimes were formulated in this research. A questionnaire was formulated based on the indices and administered on selected financial related agencies and parastatals in States across Nigeria to obtain relevant data which were subjected to Principal Component Analyses (PCA) using SPSS. The analyses showed that effective citizens’ control and monitoring, economic and social stability, moralsuasion and political security and goodwill are the much desired counter-measures to financial crime. The percentage of relevance of these measures was 64.17%, indicating that the indices of some extraneous counter-measures were not given consideration inthe research. Such measures include but not limited to good governance, financial security and moral training. A coefficient score matrix was also generated for the estimation and ranking of the contribution of every respondent to the extracted counter-measures 

 International Journal Of Current Advanced Research

 Journal

 Development Of Oil Well Monitoring And Control System

 Atajeromavwo E. J., Iwasokun G. B., Akinyokun O. C. & Adetunmbi A. O.

 2018

Kick is an unplanned and undesirable influx of formation fluid into the borehole which if not curtailed, may develop into a blowout. It may arise if the wellbore in an unplanned fashion when the drilling mud hydrostatic head is insufficient to hold. A kick may escalate into a potentially catastrophic fluids termed as blowout. If a blowout breaches surface containment, the fluid may ignite, resulting in inferno with loss of life and damage to the oil well facilities. This paper presents the development of an oil well monitoring and control system that is capable of preventing kick and its effects. The system comprises of a simulator, data acquisition and control and monitoring modules. The simulator comprises of sensors for the hook stand pipe pressure, rotary per minute, major depth, mud weight, mud temperature, stroke per minute and other related parameters. The data acquisition module is required for data gathering, analysis and real time decision making for quick and effective service in oil well monitoring and control. It receives pulses or voltage signals from the sensors for storage or transmission. The control and monitoring module comprises of sub-drilling, flow and kick monitoring. The implementation of the proposed system was carried out in an environment characterized by Microsoft Access Database Management System and Microsoft Excel as backend, Visual Basic.Net served as the frontend while Microsoft Windows Operating System is the operational platform. The simulation of Nigeria’s Etim oil well monitoring and controlling operations was carried out and obtained to confirmed the suitability and practicality of the proposed system 

 Artificial Intelligence Research

 Journal

 Design Of A Framework For Combating Human Trafficking And Kidnapping Using Smart Objects And Internet-of-things

 Akinyokun O. C., Akintola K. G., Iwasokun G. B., Angaye C. O. & Arekete S. A. (2018),

 2018

The security problems arising from activities of terrorists, kidnappers and human traffickers in the world, at large, can be tackled using Information and Communication Technology (ICT) related approaches. This paper presents the framework of smart objects and Internet of Things (IoT) based system for achieving cost effective and time saving combat of human trafficking and kidnapping. The major components of the system are Sensor Processing Station (SPS), Media Server Station (MSS), Smart Engine Server (SES) and Digital Situation Room (DSR). The SPS is for signal sensing via a number of workstations equipped with video camera sensors, Radio Frequency Identification Card (RFID) tags to the Global Positioning System (GPS) receivers and body worn sensors while MSS will capture and store data from the sensor processing units on the cloud server. The SES will perform logical reasoning of the system such as motion detection, face recognition, position tracking and activities recognition, DSR will be used to monitor events in real-time and on-demand modes based on Internet Protocol version 6 (IPv6)-enabled communications. The work presents an integration of different technologies towards combating human trafficking and kidnapping with a view to enhance existing piecewise development. 

 International Journal Of Current Advanced Research

 Journal

 Factor Analytic Model Of The Impact Of ICT On The Productivity Of Agricultural Business In Federal Capital Territory, Abuja, Nigeria

 Ubaru M. O., Iwasokun G. B. & Akinyokun O. C.

 2018

Investment on ICT projects in all the sectors of the world economy has been on the increase in the past years. This paper proposes thirty five performance indices of ICT on the productivity of agricultural business in the Federal Capital Territory (FCT) of tool for evaluating their impact. The indices were surveyed by administering questionnaires and holding meetings/interviews with agricultural business stakeholders. The performance indices were subjected to factor analysis by principal compo for Social Scientists (SPSS). Seven factors were extracted and the percentage contributions of each factor to the productivity of agricultural business were estimated. The total sum of the percentage contributions of the seven factors was found to be less than 100. This revealed that there were some extraneous factors whose related performance indices were not considered in the administered questionnaire which were liable to play significant role in the productivity of agricultural business. Moreover, a factor scores coefficient matrix that can be used to estimate and rank the assessment of each Respondent was generated. 

 2nd International Conference On Information And Communication Technology And Its Applications (ICTA 2018)

 Conferenceproceeding

 Design Of A Framework For Computer-Based Examination Invigilation Using Fingerprint And Iris Technologies

 Iwasokun G. B., Omomule G. T. And Akinyede R. O.

 2018

Computer-Based Examination (CBE) is a new paradigm in the assessment and measurement of knowledge and capabilities. It relies on computer and its associated technologies to provide solution to some of the problems inherent to human-based approaches to conduct of examinations and invigilation. Such problems include connivance, impersonation, external sourcing and peeking. This paper presents the design of a fingerprint and iris-based framework for CBE invigilation. The framework comprises of modules for CBE, e-invigilation and control. The CBE module comprises of a network backbone, a server and several workstations. The e-invigilation module is designed to use high definition and resolution iris scanners such as IrisShield-USB MK and CMITech BMT series to capture the iris image of the candidates for processing while the control module will handle the tasks of fingerprint-based authentication of examinees, process monitoring and relaying of situation reports. 

 Artificial Intelligence Research

 Journal

 Discrete Event Based Hybrid Framework For Petroleum Products Pipeline Activities Classification

 S. S. Udoh, O. C. Akinyokun, U. G. Inyang, O. Olabode, G. B. Iwasokun

 2017

The importance of timely detection, classification and response to anomalies on petroleum products pipeline (PPP) has attracted pragmatic researches in recent times. There is need for efficient monitoring and detection of activities on PPP to guide leak detections and remedy decisions. This paper develops an intelligent hybrid system, driven by discrete event system specification (DEVS) and adaptive neuro-fuzzy inference system (ANFIS) for detection and classification of activities on PPP. A dataset comprising 330 records was used for training, validation and testing of the system. Result of sensitivity test shows that inlet pressure, inlet temperature, inlet volume and outlet volume have cumulative significance of 71.72% on flowrate of PPP. Hybrid learning algorithm was observed to converge faster than the back propagation algorithm in the detection of pipeline activities. ANFIS hybrid learning algorithm with training and testing errors of 0.11980 and 0.010233 yielded a correlation of 0.916 between the computed and the desired output and produced optimal consequent parameters to boost the intelligence of DEVS. A testing error of 0.0303 was observed in the evaluation of DEVS-ANFIS system on 33 test data sample, 32 precise detections were made with one incorrect detection, this gives 96.97% level of confidence in the DEVS-ANFIS model for detection, classification and localization of PPP activities.