与生物识别技术相比,利用IP和地理跟踪技术降低员工考勤时间复杂度的近场通信创新应用

K. Shriraam, N. Deepa, Ezhil Grace. A
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引用次数: 1

摘要

手动跟踪每个员工的出勤情况通常会产生精度和员工生产率等问题。本课题主要研究开发基于IP和地理位置跟踪的考勤系统软件。与生物识别等现有系统相比,这一建议旨在减少员工出勤的时间复杂性。材料与方法:本研究在我校进行。因为这是一份考勤申请,因为不涉及人体样本,所以没有伦理批准。本课题主要研究基于IP和地理位置跟踪的考勤系统软件的设计与开发。员工考勤应用的准确性通过两组进行:IP和地理跟踪,以及样本大小(N=10)的生物识别,G功率为80%阈值0.05%,CI 95%。结果:-其建议文章的目标包括跟踪员工,数据管理和监控和维护其记录以及提供信息服务的几个特征和特征。采用IP、地理追踪和生物识别技术进行独立样本t检验。IP和地理追踪(81.25%)优于生物识别(79%)。Geo - Tracking和2- tailed的差异有统计学意义(p <0.01)。结论:这种考勤系统有几个组件,比如员工的移动IP被监控,GPS被跟踪,读取员工的信息并自动标记他们的考勤。
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An Innovative Application for Employee Attendance using Near Field Communication to Reduce the Time Complexity using IP and Geo Tracking Comparing with Biometrics
A manually tracking thus every employee's attendance usually produces issues including precision and employee productivity. The current study focuses on the research to develop an IP and geo tracking-based attendance system software. This suggested effort seeks to lessen Time complexity of an employee attendance when compared to an existing system like Biometrics. Materials and Methods: The study setup is in our University. Since it is an Attendance Application Since there are no human samples involved, there is no ethical approval. The current study focuses on the research to design and develop a software of IP and Geo Tracking based attendance system. Accuracy of the Employee attendance application is performed with two groups: IP and Geo tracking, and Biometrics of sample size (N=10), and G power is 80% threshold 0.05% , CI 95%. Results:- Its objective of the suggested article includes several characteristics and features of tracking employees, data management and monitoring and maintaining their records and providing information services. Independent sample T-Test was carried out using IP and Geo Tracking and Biometrics. IP and Geo Tracking (81.25%) performs better than Biometrics (79%). A statistically significant disparity exists between Geo Tracking and (p <0.01) 2- tailed. Conclusion: This type of attendance system has several components such that an employee’s mobile IP is monitored and GPS is tracked which reads the employee’s information and marks their attendance automatically.
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