The debate on human destiny and its relationship to freedom, responsibility, legality and morality is an ongoing discussion. The concept of destiny especially in Western philosophy depicts a static and unchanging idea that is causal to success or failure in the lives of individuals. Perhaps because of the culture of writing, destiny is seen as represented in black and white ink such that once written, it cannot be erased unlike the culture of oral expressions. Whereas Yoruba account of destiny depicts (...) a possibility of erasing or recanting what is already given prenatally, many scholars have laughed over this or term Yoruba idea as purely metaphorical and inconsistent in expression. The aim of this paper is to argue that the Yoruba idea of destiny is one of the most consistent ideas with the reality before us. It is an all encompassing thesis that bridge the gap between theory and practice and by extension the relationship between ought (morality) and what is (legality). This aim will be achieved by explaining the relationship between the prenatally received destiny and natal active destiny. This is necessary due to our finding that the Western idea of destiny only sees destiny as individualistic without a consideration of collective destiny or social aspect of destiny where different destinies interact and consequently makes social group or government liable for some individual actions. We conclude that Yoruba idea of destiny is consistent with why individuals and societies are responsible for some failures or successes. Our finding embodies the reason why both government and societies can be held responsible for social and personal actions. (shrink)

This work demonstrates the implementation and use of an encoder-decoder model to perform a many-to-many mapping of video data to text captions. The many-to-many mapping occurs via an input temporal sequence of video frames to an output sequence of words to form a caption sentence. Data preprocessing, model construction, and model training are discussed. Caption correctness is evaluated using 2-gram BLEU scores across the different splits of the dataset. Specific examples of output captions were shown to demonstrate model generality over (...) the video temporal dimension. Predicted captions were shown to generalize over video action, even in instances where the video scene changed dramatically. Model architecture changes are discussed to improve sentence grammar and correctness. (shrink)

Libraries provide resources for knowledge acquisition, recreation, personal interests and inter-personal relationships for all categories of users. It enables the individual to obtain spiritual, inspirational, and recreational activities through reading, and therefore the opportunity of interacting with the society’s wealth and accumulated knowledge. This study examined the undergraduate students’ use of University library services and resources. It was affirmed the undergraduate utilized the University Libraries as learning centre. This was shown by the massive turn out to patronize the library services (...) and resources weekly. (shrink)

In this research, we focus on the usage of adversarial sampling to test for the fairness in the prediction of deep neural network model across different classes of image in a given dataset. While several framework had been proposed to ensure robustness of machine learning model against adversarial attack, some of which includes adversarial training algorithm. There is still the pitfall that adversarial training algorithm tends to cause disparity in accuracy and robustness among different group. Our research is aimed at (...) using adversarial sampling to test for fairness in the prediction of deep neural network model across different classes or categories of image in a given dataset. We successfully demonstrated a new method of ensuring fairness across various group of input in deep neural network classifier. We trained our neural network model on the original image, and without training our model on the perturbed or attacked image. When we feed the adversarial samplings to our model, it was able to predict the original category/ class of the image the adversarial sample belongs to. We also introduced and used the separation of concern concept from software engineering whereby there is an additional standalone filter layer that filters perturbed image by heavily removing the noise or attack before automatically passing it to the network for classification, we were able to have accuracy of 93.3%. Cifar-10 dataset have ten categories of dataset, and so, in order to account for fairness, we applied our hypothesis across each categories of dataset and were able to get a consistent result and accuracy. (shrink)

Local participation is always beneficial for sustainable action and environmental problems resulting from urban implementation due to the failure of social and institutional change necessary for a successful transformation of rural life to urban life ahead of the rapid movement of the population. Despite good legal practice and comprehensive guidelines, evidence suggests that Environmental Impact Assessment (EIA) or more broadly Environmental, Social and Health Impact Assessment (ESHIA) have not yet been found satisfactory in Nigeria, as the current system amounts to (...) duplication of efforts and cost. However, ESHIA has been developed and integrated to help manage project activities, facilities, and operations sustainably, so that both economic and ecological profits are accrued (sustainable development) or ensure that any development project does not result in excessive deterioration of and/or the irreversible adverse effect on any component of the environment – a recite for sustainable development. A literature review was done by using a variety of search engines including Research Gate, Google Scholar, Academia, Mendeley, SSRN search strategy to retrieve research publications, “grey literature” and expert working group reports. The thrust of this study is to evaluate the potential benefits of ESHIA as a tool for sustainable environmental development. The evaluation and implementation of EIA are one of the strengths of these tools. Indeed, EIA is the first and foremost management tool employed to help mitigate adverse, potential, and associated impacts of proposed major developments in our environment. EIA is a regulatory requirement that is efficiently used to improve performance, project design, enhancing decision-making, and facilitating policy programs in a sustainable environment. An evaluation of the EIA systems reveals several weaknesses of the EIA system. These include the inadequate capacity of EIA approval authorities, deficiencies in screening and scoping, poor EIA quality, insufficient public participation, and weak monitoring, and erratic government policies. Overall, most EIA study rarely meets the objectives of being a project planning tool to contribute to achieving sustainable development and mitigate the impact of the development project. The study recommends some directions for the future to ensure that entire content of the EIA are religiously implemented, review the existing EIA act, increase the expertise of EIA consultants, create a liaison office with an international organisation and with sister agency, ESHIA must enjoy Improved budgetary provision, time latitude, spatial contexts and methodological improvements for outcome measures to achieve results that are relevant to sustainable development by improving project design, enhancing decision making and facilitating policy programs. (shrink)