A Refinement-Based Heuristic Method for Decision Making in the Context of Ayo Game

Games of strategy, such as chess have served as a convenient test of skills at devising efficient search algorithms, formalizing knowledge, and bringing the power of computation to bear on “intractable” problems. Generally, minimax search has been the fundamental concept of obtaining solution to game problems. However, there are a number of limitations associated with using minimax search in order to offer solution to Ayo game. Among these limitations are: (i.) improper design of a suitable evaluator for moves before the moves are made, and (ii.) inability to select a correct move without assuming that players will play optimally. This study investigated the extent to which the knowledge of minimax search technique could be enhanced with a refinement-based heuristic method for playing Ayo game. This is complemented by the CDG (an end game strategy) for generating procedures such that only good moves are generated at any instance of playing Ayo game by taking cognizance of the opponent strategy of play. The study was motivated by the need to advance the African board game – Ayo – to see how it could be made to be played by humans across the globe, by creating both theoretical and product-oriented framework. This framework provides local Ayo game promotion initiatives in accordance with state-of-the-art practices in the global game playing domain. In order to accomplish this arduous task, both theoretical and empirical approaches were used. The theoretical approach reveals some mathematical properties of Ayo game with specific emphasis on the CDG as an end game strategy and means of obtaining the minimal and maximal CDG configurations. Similarly, a theoretical analysis of the minimax search was given and was enhanced with the Refinement-based heuristics. For the empirical approach, we simulated Ayo game playing on a digital viii computer and studied the behaviour of the various heuristic metrics used and compared the play strategies of the simulation with AWALE (the world known Ayo game playing standard software). Furthermore, empirical judgment was carried out on how experts play Ayo game as a means of evaluating the performance of the heuristics used to evolve the Ayo player in the simulation which gives room for statistical interpretation. This projects novel means of solving the problem of decision making in move selections in computer game playing of Ayo game. The study shows how an indigenous game like Ayo can generate integer sequence, and consequently obtain some self-replicating patterns that repeat themselves at different iterations. More importantly, the study gives an efficient and usable operation support tools in the prototype simulation of Ayo game playing that has improvement over Awal

Aligning Multiple Sequences with Genetic Algorithm

The alignment of biological sequences is a crucial tool in molecular biology and genome analysis. It helps to build a phylogenetic tree of related DNA sequences and also to predict the function and structure of unknown protein sequences by aligning with other sequences whose function and structure is already known. However, finding an optimal multiple sequence alignment takes time and space exponential with the length or number of sequences increases. Genetic Algorithms (GAs) are strategies of random searching that optimize an objective function which is a measure of alignment quality (distance) and has the ability for exploratory search through the solution space and exploitation of current results

Critical Analysis of Decision Making Experience with a Machine Learning Approach in Playing Ayo Game

The major goal in defining and examining game scenarios is to find good strategies as solutions to the game. A plausible solution is a recommendation to the players on how to play the game, which is represented as strategies guided by the various choices available to the players. These choices invariably compel the players (decision makers) to execute an action following some conscious tactics. In this paper, we proposed a refinement-based heuristic as a machine learning technique for human-like decision making in playing Ayo game. The result showed that our machine learning technique is more adaptable and more responsive in making decision than human intelligence. The technique has the advantage that a search is astutely conducted in a shallow horizon game tree. Our simulation was tested against Awale shareware and an appealing result was obtained

Developing a Web-Based Location Navigation System in the Context of Covenant University

More often than not, people are faced with a number of challenges while considering the environment where they are vis-a-vis locating the exact place they are going at a particular instance. A location-based navigation system, however, helps out by providing direction to the desired location through the use of subjective rating. However, users preferring a combination of maps and photographs of the desired places render such location-based navigation systems inadequate. This paper addresses these challenges by presenting a web- based destinations „ directions system that assists users locate their desired destinations on the campus by navigating their way using the map provided by the audio navigator as the navigator tells the users their locations and how to get to their destinations on the campus

Towards Designing a Biometric Measure for Enhancing ATM Security in Nigeria E- Banking System

Security measures at banks can play a critical, contributory role in preventing attacks on customers. These measures are of paramount importance when considering vulnerabilities and causation in civil litigation. Banks must meet certain standards in order to ensure a safe and secure banking environment for their customers. This paper focuses on vulnerabilities and the increasing wave of criminal activities occurring at Automated Teller Machines (ATMs) where quick cash is the prime target for criminals rather than at banks themselves. A biometric measure as a means of enhancing the security has emerged from the discourse

An Endgame Procedure for Generating Integer Sequence

In playing Ayo game, both opening and endgames are often stylized. The opening is very interesting with both players showing skills by the speed of their movements. However, there exists an endgame strategy in Ayo game called Completely Determined Game (CDG) such that its usefulness for ending a game should be apparent. In this paper, we present the CDG as a class of endgame strategy and describe its configuration and detailed analysis of its winning positions that generates integer sequence, and some self-replicating pattern

Exposure to job-related violence among young female sex workers in urban slums of Southwest Nigeria

BACKGROUND: In Nigeria, many young girls are engaged in commercial sex work as a means of livelihood and support of dependent relatives. Although studies have documented some of the violence related issues among commercial sex workers, the plight of adolescent and young sex workers particularly in urban slums may be different in context and depth. OBJECTIVE: This study explored the lived experiences of violence and health related harm among vulnerable young female sex workers in urban slums in Ibadan and Lagos, Southwest Nigeria. It also analyzed their coping strategies and survival mechanisms. DESIGN: The study is cross-sectional and applied an interpretive phenomenological approach to this qualitative study through in-depth interviews. PARTICIPANTS: Young female sex workers ages (15-24 years) who reported having experienced violence were recruited for the study. Twelve participants completed the interviews out the 20 initially contacted. DATA COLLECTION AND ANALYSIS: Primary data were collected using in-depth interviews (IDIs). Data were transcribed using a phenomenological framework analysis. Participants' reports based on life experiences were identified: lived experience "daily brothel life experience"; sources of violence such as law enforcement agents' intermittent raids; violence experience with clients who often demanded sexual acts beyond the agreed scope; and coping strategies employed to mitigate the challenges. SETTINGS: The study was conducted in brothels of two selected slum areas in Ibadan and Lagos, Southwest Nigeria. RESULTS: The results showed that the major motivation for engaging in commercial sex work was for economic reasons. However, there are inherent risks involved particularly for the vulnerable young people. Stigmatization from the community, clients' uncontrolled-aggressive behavior and harassment from law enforcement agents are some of the frequent violence experiences reported. Self-help coping strategies are usually employed to prevent or mitigate the challenges. CONCLUSION: The plight of this young people required policy and program attention towards alternative economic empowerment to rehabilitate those willing to leave the profession. Also the need to develop arm reduction interventions towards protection of young sex workers against violence

A Systematic Review of Consumer Behaviour Prediction Studies

Due to the importance of Customer behaviour prediction, it is necessary to have a systematic review of previous studies on this subject. To this effect, this paper therefore provides a systematic review of Customer behaviours prediction studies with a focus on components of customer relationship management, methods and datasets. In order to provide a comprehensive literature review and a classification scheme for articles on this subject 74 customer behaviour prediction papers in over 25 journals and several conference proceedings were considered between the periods of 1999- 2014. Two hundred and thirty articles were identified and reviewed for their direct relevance to predicting customer behaviour out of which 74 were subsequently selected, reviewed and classified appropriately. The findings show that the literature on predicting customer behaviour is ongoing and is of most importance to organisation. It was observed that most studies investigated customer retention prediction and organizational dataset were mostly used for the prediction as compared to other form of dataset. Also, comparing the statistical method to data mining in predicting customer behaviour, it was discovered through this review that data mining is mostly used for prediction. On the other hand, Artificial Neural Network is the most commonly used data mining method for predicting customer behaviour. The review was able to identify the limitations of the current research on the subject matter and identify future research opportunities in customer behaviour prediction

The Impact of Knowledge-Based Trust (Kbt) on The Adoption and Acceptability of Cashless Economy in Nigeria

The introduction of cashless policy in Nigeria had gained a number of reactions over the adoption of cashless economy (or cashless banking). The implication of this is that not many people have the understanding of the benefits the cashless system would accrue to entire Nigerian populace. Although, many have argued that the technological infrastructures available for the implementation of the cashless economy is still a matter of concern. This study attempts to examine the impact of integrating Technology Acceptance Model (TAM) with Knowledge-based Trust (KBT) on the adoption and acceptance of cashless economy among Nigerian populace. We designed a paper-based questionnaire to harvest people’s view about their intention on the adoption of cashless economy in Nigeria as well as their readiness to accept the policy. Consequent upon the impact of trust on the acceptability of the cashless economy, we formulated some hypotheses which was analysed with the use of T-statistics. The results of the hypothesis testing indicate that the integration of KBT with TAM has a significant relationship on intention towards the adoption and acceptance of cashless economy in Nigeria

Comparative Study of Impact of Zinc Oxide and Copper (II) Oxide Nanoparticles on Viscosity of Water Based Drilling Fluid

Drilling fluids play very important roles in the oil and gas industry hence the need to get method of improving their rheological properties cannot be over emphasized. In this study how drilling fluid rheological property can be improved using zinc oxide and copper (II) oxide nanoparticles were investigated. To achieve these objectives, water based drilling fluids (WBDF) were prepared using the standard laboratory barrel (350 ml) method from bentonite, xanthan gum and water. The Zinc oxide and Copper (II) nanoparticles were introduced into the formulation in different proportions. Brookfield rotational viscometer was used to determine the rheological properties of the samples while Fourier Transformation Infra-red (FTIR) spectroscopy was used to determine the structural analysis of the interaction between the nanoparticles and the Xanthan gum. The results showed that Zinc oxide and CuO nanoparticle improved the rheological properties of the water based drilling fluid. The zinc oxide at equal proportion with xanthan gum at 60 rpm shear rate increased the viscosity from 834.7 to 1597.3 mPa.s while the copper (II) oxide nanoparticles at equal proportion with xanthan gum at 60 rpm shear rate increased from 834.7 to 1452.3 mPa.s at low temperature of 31.5oC. The FTIR analysis of the nanoparticles and xanthan gum revealed that the interactions of the bonds between the nanoparticles and xanthan gum contributed to the improvement in the rheological properties of the drilling fluids. It is concluded that introduction of ZnO nanoparticles and CuO nanoparticles improved the rheological performance of water based drilling fluids with xanthan gum. The ZnO nanoparticles, however, exhibited better improvement than the CuO