DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING

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Electron beam decomposition of CdCl2
(American Institute of Physics., 1984) Green, M.; Aidinis, C. J.; Fakolujo, O. A.
The e-beam stimulated reaction, CdCl2 (s)----Cd(s) + 2Cl(g), has been studied in cadmium chloride thin films between 303 and 483K using 2-keV electrons. The dose required to make 90-mm-deep holes at 483K is 3 X10-3 Ccm-2. Extrapolated dosing levels of ~6X10-5 C cm-2 are expected. The use of CdCl2 as a positive-type electron resist in a new scheme is proposed. A working model, useful for considering the e-beam stimilated decomposition energetics and mechanism, is briefly discussed.
Photovoltaic characteristics of thin films of Cu2SnS3
(Elsevier, 1987) Kuku, T. A.; Fakolujo, O. A.
We report for the first time the optical absorbtion and photovoltaic characteristics of thin films of Cu2SnS3.Films obtained by the direct evaporation of the synthesized compound were observed to be deficient in copper, while those grown in an atmosphere of copper vapour were observed to be more stoichiometric. Both sets of films are characterised by indirect and direct absorption edge propoerties. The indirect absorption edges are at 1.065 and 1.510 eV, while the direct band edges are at 1.658 and 1.770 eV for the copper deficient and stoichiometric films respectively. The stoichiometric film is characteried by p-type semiconducting properties while a Schottky type solar cell developed from it is observed to have potential photovoltaic characteristics
Cadmium chloride thin films: hydration-dehydration
(Elsevier Sequoia, 1987) Green, M.; Fakolujo, O. A.
E-beam induced decomposition of inorganic solids
(Martinus Nijhoff Publishers, 1988) Green, M.||||; Aidinis, C.; Fakolujo, O.
A general model for the e-beam induced decomposition of covalent and ionin inorganic solids is outlined. The primary electron beam produces enegetic electron/hole pairs; these decay to the band edges, and either recombine or participate in the chemical decomposition of the solid. The kinetics and mechanism of several system is discussed, including CdCl2 and PbI2. The importance of temparature in decomposition is remarked and it is suggested that induced decomposition is remarked and it is suggested that induced decomposition mostly starts at 0.6 melting point (K). The usefulness of various inorganic systems, as resists, for x-ray masks, for local indiffusion sources and for metal inter-connects is noted.
Post-graduate professional experience in electronic and electrical engineering
(1994) Kamil, I. A.
A brief but illustrative account of the author's acquired experience in the areas of consultancy, teaching and research, and repair and maintenance is presented
Post-graduate experience
(1998) Fakolujo, O. A.
A linearized thermometer circuit employing a thermistor and a diode as probing elements
(Development Africa Consortium, 2003) Kamil, I. A.; Adegbenro, O.
The development of a linearized thermistor-based thermometer circuit with a thermistor and a diode as the temperature probing elements is here reported. The circuit is effectively that of an op amp based logarithmic amplifier, which takes its input from another inverting op amp circuit having a thermistor in its feedback loop. The performance of the circuit is demonstrated experimentally and has been found to have a linearity error of less than 0.2%. The accuracy analysis of the circuit is also discussed.
Fuzzy logic: a means of handling uncertainties in expert systems
(2005) Kamil, I. A.
This paper discusses on historical perspective of the evolution of fuzzy logic from the Boolean or crisp logic as well as some noteworthy objections to its use. Some fundamental notions on fuzzy set and fuzzy logic as well as the application areas are considered. The use of fuzzy logic in application involving imprecision and uncertainty is also discussed. An introductory account on expert systems and the basic components necessary for its development especially the knowledge base is presented. The main subject of this paper which is the applicability of fuzzy logic in handling of uncertainty in expert system is illustrated with two examples. Though the two illustrations used involve the use of expert systems in fault diagnosis in the field of electrical and electronic engineering which is the area of specialization of the author, they could easily be adapted to fault diagnosis in other areas.
Introduction to measurement and instrumentation
(2005-05) Arulogun, O. T.; Fakolujo, O. A.; Omidiora, E. O.; Ajayi, A. O.
Assembly language programming using MC68000
(2005-05) Arulogun, O. T.; Fakolujo, O. A.; Omidiora, E. O.; Ajayi, A. O.
Data retrieval and use of ICT in research
(2006) Fakolujo, O. A.
A survey of face recognition techniques
(Faculty of Technology, University of Ibadan, 2007) Omidiora, E. O.; Fakolujo, O. A.; Ayeni, R. O.; Ajila, T. M.
A review of face recognition techniques has been carried out.Face recongition has been an attractive field in the society of both biological and computer vision of research. It exhibits the characteristics of being natural and low-intrusive. In this paper, an updated survey of techniques for face recognition is made. Methods of face regonition , such as geometric, statistical and neural networks approaches are presented and analyzed. The comparative performance of the variaous approaches is discussed.
A prototype of a robust and secured access control system using principal component analysis
(2007) Omidiora, E. O.; Fakolujo, O. A.; Olabiyisi, S. O.; Ayeni, R. O.
The need for a robust and secured access control system using a suitable algorithm is highly inevitable to forestall daily online harkers that are responsible in defrauding people of invaluable information and transactions worth billions of dollars in the process. In this paper, faces were employed as the only control means of right of entrance and usage of information on the super-highway. Principal Component Analysis (PCA) was used to perform dimensionality reduction on the feature vectors of the digitized face images. Also, Euclidean distance was the required similarity measure employed to match the tested face with the trained faces inside the database for actual recognition. The result obtained showed that its avarage percentage of rightly classified face was 90.43% and FAR and FRR were 0.1077 &0.0609. An evaluation of the results demostrated PCA to be a very good algorithm for a robust and secured access control and recognition system.
Quantitative evaluation of principal component analysis and fisher discriminant analysis techniques in face images.
(Nigeria Computer Society, 2008) Omidiora, E. O.; Fakolujo, O. A.; Ayeni, R. O.; Olabiyisi, S. O.; Arulogun, O. T.
"Face recognition is an attractive field in enhancing both the security and the image retrieval activities in the multimedia world. Its natural basis in verification or identification purposes is a major factor of its wide acceptance in this evolving world of information technology. In this paper, experiments based on black African faces using Principal Component Analysis (OPCA) and Fisher Discriminant Analysis (OFDA) techniques were carried out. The design of the face recognition system was separated into three major sections - image acquisition and standardisation, dimensionality reduction, training and testing for recognition. Under static mode, experiments were performed on single scaled images without rotation, OPCA and OFDA both give recognition accuracies of between 89% and 97%;and) 88% and 98% respectively. These have been achieved at different levels of cropping. Despite the constraint created by the resources available, different results got showed that standard face recognition system could be developed using both algorithms. "
Optimised fisher discriminant analysis for recongnition of faces having black features.
(Medwell Journals, 2008) Omidiora, E. O.; Fakolujo, O. A.; Ayeni, R. O.; Adeyanju, I. A.
A face recognition system is one of the most desirable biometric identification such as computerized access control, document control and database retrieval. Although, several researches have been done on face recognition, most (if not all) have made use of non-black faces or very few numbers of black faces in their experiments. This study presents results of experiments based on black African faces (with and without tribal marks) using the optimized Fisher Discriminant Analysis. In the experiment, different sizes of gray scale images were used for recognition performance accuracy of between 88 and 99% were obtained. Also, taking into consideration was the rate of identifying an image using the same number of images to test the face recognition system. While, a completely robust real-time face recognition system is still under heavy investigation and development, the implemented system serves as an extendable foundation for future research.
Nature-inspired optimisation methods: the ant algorithm.
(Duncan Science Company, 2008) Bello, O. A.; Ayeni, R. O.; Fakolujo, O. A.
Nature has inspired many optimization techniques/ methods. This paper is directed to introduce some of these methods to the reader and emphasis was laid on the ant algorithm by discussing its properties and what it entails. Also some of the problems that ant algorism has been used to solve was listed while two of them were discussed in full,the TSP which the writer worked on and network routing
Assessment of an access control system using principal component analysis and discrete cosine transform.
(2008-08) Omidiora, E. O.||||Olabiyisi, S. O.; Fakolujo, O. A.; Olabiyisi, S. O.
In this paper, faces were employed as the only control means of right of entrance and usage of information on the super-highway. Principal Component Analysis (PCA) and Discrete Cosine Transform (DCT) algorithms were employed as our basis of comparison. An assessment of both algorithms was considered, it was discovered that PCA proved to be a better algorithm for access control and recognition system because of its very high average percentage of rightly classified faces (90.43%) and its strict attendance to both FAR and FRR (0.1077, 0.0609) than DCT with 64.57% and: 0.24 and 0.02 respectively.
A performance analysis of delta and huffman compression algorithms
(2009) Oke, A. O.; Fakolujo, O. A.; Emuoyibofarhe, O. J.
With the recent trend in Information and Communication Technology, Storage and Transfer of data and Information are two vital issues which have Cost and Speed implication respectively. Large volume of data (text or image) is constantly being processed on the internet or on a Personal Computer, which has led to the Upgrade of current System. Hence, the need for compression, which reduces storage capacity and effect Speed of transfer. Data Compression is the act of reducing the size of a file by minimizing redundant data. In a text file, redundant data can be frequently occurring characters or common vowels. This research involves a comparative performance analysis of Huffman and Delta Compression schemes. A compression program is used to convert data from an easy-to-use format (ASCII) to one optimized for compactness. Huffman and Delta algorithms were implemented using C#. Result was also presented on the efficiency of the former based on three parameters: the number of bit, compression ratio and percentage of compression. It was discovered that Huffman algorithm for data compression performs better, since it can store / transmit the least number of bits. The average compression percentage for Huffman and Delta algorithm was found to be 39% and 45% respectively. Which simply implies that for a large text file, Huffman algorithm will achieve a 39% reduction in the file size and as such increase the capacity of the storage medium.
A modified linear contribution factor model for improvement of relability indices of electrical distribution systems.
(2009) Ajenikoko, G. A.; Fakolujo, O. A.; Raji, T. I.
In Nigeria, satisfactory degree of reliability has not been attained in our power systems in recent times. The average duration of interruptions that customers experience is quite high and the degree varies from place to place. This is evident all around the nation, most especially in urban commercial cities. Previous researchers have focused on assessment of power system reliability indices using different models. In this work, a computationally efficient 'modified linear contribution factor model (LCFM) is developed. The model can be used for appreciable improvement of all the major system reliability indices of practical distribution systems unlike the conventional LCF model which can only improve some of the system reliability indices of practical distribution systems. Data collection and data analysis were carried out to develop the LCF model used on the three selected distribution systems on the Nigerian National Grid. The results 'of this work indicates that part of the reliability indices computed for the distribution systems SAIFI is more sensitive to the LCF model than SAIDI and CAIDI but that the sensitivity is low for SAIDI index compared to CAIDI. This is due to the quantization of the annual number of customer interruptions caused by the type and placement of protective devices on the distribution systems of the National Grid. With the use of the modified LCF model, the average percentage improvement in the system reliability indices become 97.72%. 98.55% and 98.63% for Ibadan, Ilorin and Ikeja distribution systems respectively as against an average percentage improvement of 36.08%. 11.36% and 24.36% in the system reliability indices for Ibadan, Ilorin and Ikeja distribution systems respectively with the use of conventional LCF model. The result of this research work confirms the efficiency of the modified LCF model.
A framework for electronic nose based condition monitoring and diagnosis of automobile engine faults.
(Nigeria Computer Society, 2009) Arulogun, O. T; Fakolujo, O. A.; Waheed, M. A.; Omidiora, E. O.; Olaniyi, O. M.
A framework for condition monitoring approach that uses the sense of smell was investigated to diagnose the faults of plug-not-firing, loss of compression and carburettor faults from the exhaust fumes of gasoline fuelled automobile engine. An electronic nose based condition monitoring hardware and software was developed using the framework to obtain smell prints that correspond to normal operating conditions and various induced abnormal operating conditions. Fuzzy C-means and K means clustering were used as exploratory data visualization tools to ascertain if the obtained smell prints from the developed system could characterize the faults considered. The results of exploratory cluster analysis showed that the obtained smell print could typify the faults considered.