The study acquired and analyzed Nigeria fabric patterns, developed a recognition model for the pa... more The study acquired and analyzed Nigeria fabric patterns, developed a recognition model for the patterns and implemented a prototype of the model for mobile devices. This was with a view to addressing the problem of information failure constraining the development of commerce and business in Nigeria. Collected Nigeria fabric patterns were analyzed using image processing and wavelet analysis techniques to extract the relevant features for recognition purposes. The recognition model was a multi-layered artificial neural network with an adaptive back-propagation learning scheme. The fuzzy inference engine was used to extract the subset of matching images to reduce storage computation time. The model was designed in a Matlab environment. The performance evaluation of the model with respect to the accuracy of extracted images was done using the sensitivity and specificity analyses. The study concluded that the model has a strong capability to recognize the patterns of the fabrics used in the study. It will also provide timely information in decision making process. Results from simulation experiment indicated that the recognition model obtained 100% correct detection rate for all the fabrics. The model also obtained correct rejection rate of 100% for and Aso-oke fabric and 86% correct rejection rate for Adire fabric.
The study acquired and analyzed Nigeria fabric patterns, developed a recognition model for the pa... more The study acquired and analyzed Nigeria fabric patterns, developed a recognition model for the patterns and implemented a prototype of the model for mobile devices. This was with a view to addressing the problem of information failure constraining the development of commerce and business in Nigeria. Collected Nigeria fabric patterns were analyzed using image processing and wavelet analysis techniques to extract the relevant features for recognition purposes. The recognition model was a multi-layered artificial neural network with an adaptive back-propagation learning scheme. The fuzzy inference engine was used to extract the subset of matching images to reduce storage computation time. The model was designed in a Matlab environment. The performance evaluation of the model with respect to the accuracy of extracted images was done using the sensitivity and specificity analyses. The study concluded that the model has a strong capability to recognize the patterns of the fabrics used in ...
Kampala International University Interdisciplinary Journal of Humanities and Social Sciences
The above statement encapsulates the need for adherence to the rule of law in political governanc... more The above statement encapsulates the need for adherence to the rule of law in political governance. This has more than ever before brought the primacy between national security and personal liberty of individuals in Nigeria to the front burner. The partisans of rule of law say, it is the font et origo, the father and grundnorm which takes precedence and priority over national security. It is a paradigm shift from the logic of empire, kingdom and fiefdom. The crux of the matter in this piece is which arm of government determines when national security or interest is in jeopardy? This paper therefore examined the concept of the rule of law and the extent to which it can be sacrificed on the altar of national security in a democracy. Using primary and secondary sources of information, the study found that it is dangerous to national security or interest for the executive arm to whimsically deprive citizens of their constitutionally guaranteed rights because of perceived or actual threa...
The study acquired and analyzed Nigeria fabric patterns, developed a recognition model for the pa... more The study acquired and analyzed Nigeria fabric patterns, developed a recognition model for the patterns and implemented a prototype of the model for mobile devices. This was with a view to addressing the problem of information failure constraining the development of commerce and business in Nigeria. Collected Nigeria fabric patterns were analyzed using image processing and wavelet analysis techniques to extract the relevant features for recognition purposes. The recognition model was a multi-layered artificial neural network with an adaptive back-propagation learning scheme. The fuzzy inference engine was used to extract the subset of matching images to reduce storage computation time. The model was designed in a Matlab environment. The performance evaluation of the model with respect to the accuracy of extracted images was done using the sensitivity and specificity analyses. The study concluded that the model has a strong capability to recognize the patterns of the fabrics used in the study. It will also provide timely information in decision making process. Results from simulation experiment indicated that the recognition model obtained 100% correct detection rate for all the fabrics. The model also obtained correct rejection rate of 100% for and Aso-oke fabric and 86% correct rejection rate for Adire fabric.
The study acquired and analyzed Nigeria fabric patterns, developed a recognition model for the pa... more The study acquired and analyzed Nigeria fabric patterns, developed a recognition model for the patterns and implemented a prototype of the model for mobile devices. This was with a view to addressing the problem of information failure constraining the development of commerce and business in Nigeria. Collected Nigeria fabric patterns were analyzed using image processing and wavelet analysis techniques to extract the relevant features for recognition purposes. The recognition model was a multi-layered artificial neural network with an adaptive back-propagation learning scheme. The fuzzy inference engine was used to extract the subset of matching images to reduce storage computation time. The model was designed in a Matlab environment. The performance evaluation of the model with respect to the accuracy of extracted images was done using the sensitivity and specificity analyses. The study concluded that the model has a strong capability to recognize the patterns of the fabrics used in ...
Kampala International University Interdisciplinary Journal of Humanities and Social Sciences
The above statement encapsulates the need for adherence to the rule of law in political governanc... more The above statement encapsulates the need for adherence to the rule of law in political governance. This has more than ever before brought the primacy between national security and personal liberty of individuals in Nigeria to the front burner. The partisans of rule of law say, it is the font et origo, the father and grundnorm which takes precedence and priority over national security. It is a paradigm shift from the logic of empire, kingdom and fiefdom. The crux of the matter in this piece is which arm of government determines when national security or interest is in jeopardy? This paper therefore examined the concept of the rule of law and the extent to which it can be sacrificed on the altar of national security in a democracy. Using primary and secondary sources of information, the study found that it is dangerous to national security or interest for the executive arm to whimsically deprive citizens of their constitutionally guaranteed rights because of perceived or actual threa...
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