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Abstract-The growth in electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. Access codes for buildings, banks accounts and computer systems often use personal identification numbers (PIN's) for identification and security clearances. Conventional method of identification based on possession of ID cards or exclusive knowledge like a social security number or a password are not all together reliable. An embedded fingerprint biometric authentication scheme for automated teller machine (ATM) banking systems is proposed in this paper. In this scheme, a fingerprint biometric technique is fused with the ATM for person authentication to ameliorate the security level.

Many nations of the world are employing the use of big data in e making. However, in Nigeria, data centralized framework that can integrate different silo data centers for insightful and evidence based governance. The paper proposes a big data governance operations. The framework was designed in the Nigerian context using big dat mechanisms. It was tested with an experiment that performed a sentiment analysis to uncover the opinion of the masses on selected agencies in order to help policy making. This was done with datasets collected from the social media handles of two (2) gove police force and the Nigerian army. The results uncovered the actual opinions of the populace concerning both agencies as it regards national security. The framework promises a host of benefits such as centralized data entry integration and collaboration of government operations and an easy application of open data policy. The paper concludes with four (4) recommendations which the government of any developing nation can imbibe for results to citizens and businesses.

Abstract-Queuing by patients in the out-patients department to access hospital services in Nigeria teaching hospitals is a teething concern to most healthcare providers. This causes inconvenience to patients and economic costs to the hospitals. Patients waiting for minutes, hours, days or months to receive medical services could result in waiting costs to them. Providing too much service could result in excessive costs. Also not providing adequate services could result in excessive waiting and costs. This study sought to determine an optimal server level and at a minimum total cost which include waiting and service costs in homogenous servers in order to reduce patients' congestions in the hospital as low as reasonably practicable. The queuing characteristics in all the twenty-three (23) teaching hospitals in Nigeria were analysed using a Multi-server Queuing Model and the waiting and service costs determined with a view to ascertaining the optimal service level. The data for this study were collected through observations and interviews. The data was analysed using Quantitative Methods, Production and Operations Management (POM QM) and Queuing Theory Calculator Software as well as using descriptive analysis. The results of the analysis demonstrated that average queue length, waiting time of patients as well as over utilization of specialist doctors at the teaching hospitals could be reduced at an optimal server level and at a minimum total cost as against their present server level with high total cost which include waiting and service costs. Therefore, this call for refocusing so as to improve the overall patient care in our cultural context and meet the patient needs in our environment.

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