iosr-JCE   Volume-21 ~ Issue-2 ~ March-April 2019

Abstract: In this paper, we seek to address means of automatically registering students, recording attendance, saving students' data on the personal computer (PC) as well as backing this data via the global system for mobile communication (GSM) and finally making a decision on the eligibility of a student to sit for an examination course. Owing to the challenges of the manual method of taking attendance in Nigerian universities and colleges especially in the Michael Okpara University of Agriculture Umudike, an automated attendance system needs to be adopted. The...........

Keywords: Radio Frequency Identification (RFID) Tag and Reader, Liquid Crystal Display (LCD), ATMEGA 328P Microcontroller, and GSM Module.

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[4]. C. Geoffrey. Automatic Access Control System using Student's Identification Card based on RFID Technology, Thesis, Faculty of Electrical Engineering, University of Technology Malaysia, 2012
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Abstract: Organizations are under intense pressure today to respond quickly to changing circumstances and innovation since business environment is increasingly becoming complex and changing. Furthermore, data analysis and data mining will create a competitive advantage. Hence, customer relationship management has been very much considered in recent years. Accordingly, in order to understand the effective criteria for accepting the proposed service to customers through the database, the present study aimed to classify the information about the store customers and extract the appropriate pattern using the decision tree algorithm so that it will be possible to properly predict the accepting the proposed service and ultimately, meet the advertising and marketing requirements for the society. According to the results obtained from implementing the proposed system on the collected store data, evaluated during 2016-2018 through the Clementine 12.0 software, the system accuracy level is at a desirable level.

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[2]. O. A. Gashteroodkhani, M. Majidi, M. Etezadi-Amoli, "A Fuzzy-based Control Scheme for Recapturing Waste Energy in Water Pressure Reducing Valves" IEEE Power and Energy Society General Meeting (PESGM), pp. 1-5, Portland, OR, Aug 2018.
[3]. O.R. Zaıane (2002),Web Usage Mining for a Better Web-Based Learning Environmen, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.21.799&rep=rep1&type=pdf.
[4]. O. A. Gashteroodkhani, M. Majidi, M. Etezadi-Amoli, A. F. Nematollahi, B. Vahidi, "A hybrid SVM-TT transform-based method for fault location in hybrid transmission lines with underground cables" Electric Power Systems Research, vol. 170, pp. 205-214, 2019.
[5]. S. Aznavi, P. Fajri and M. Rasheduzzaman, "Hierarchical Energy Management Strategy for a Community of Multi Smart Homes," in IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, Washington, DC, USA, 2018, pp. 176-181..

Abstract: Healthcare organizations often benefit from information technologies as well as embedded decision support systems, which improve the quality of services and help preventing complications and adverse events. To be able to predict, at the time of triage, whether a need for hospital admission exists for emergency department (ED) patients may constitute useful information that could contribute to system wide hospital changes designed to improve ED throughput. The objective of this study was to develop and validate a predictive model to assess whether a patient is likely to require inpatient admission at the time of ED triage, using routine hospital administrative..........

Keywords: Triage Systems, emergency department, hospitals, machine learning, predictive models.

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