iosr-JCE   Volume-23 ~ Issue-4 ~ Jul. - Aug. 2021

Abstract:This paper is about the development and operational analysis report for business user using various components of SAS (statistical Package)serving the growing needs of human capital Data Ware House in Information Technology industry. This paper is a guideline of Human Resource Management System Data Ware House. In this paper we propose a developments of Global HR data Mart – POC(Proof of concept)that appropriately source its data from the host of existing data sources its data from the Host of existing data sources and make the data available globally for viewing and analysis. It would provide single a windows for organizational HR data that cut across the multitudes of systems and repositories thus ensuing the consistency in management reports. It also support tp run adhoc quries in an efficient manner and generate analysis and operational reports in prevent report formats like PDF Excel and HTML......

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Abstract: Background: Multiple choice question (MCQ) generation from a text is a popular research area. They are widely used for a learner's knowledge assessment in the education sector. Manual generation of Mcq is hard, time- consuming and expensive. We have developed a system using various applications of Natural Language Processing Techniques. In this paper, we present a set of MCQs (Multiple Choice Questions) generated for any given input text along with a set of distractors and the correct answer to the question. In addition, The BERT(Bidirectional Encoder Representations from Transformers) model
is used to generate a summary of the input text. The RAKE (Random Automatic Keyword Extraction) technique is used for extracting the keyword from the generated summary. This keyword is used as a parameter to generate questions as well......

Key Words: Summary, Keywords, Distractor, Wordnet, Conceptnet, BERT, RAKE

[1]. Keyword Extraction Performance Analysis, 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)
[2]. An Analysis on Different Document Keyword Extraction Methods, Proceedings of the Third International Conference on Computing Methodologies and Communication (ICCMC 2019)
[3]. Extractive Text Summarization Using Sentence Ranking, J.N.Madhuri Dept. of Computer science and Engineering CHRIST (Deemed to be University) Bangalore, India, 2019.
[4]. Topic level summary generation using BERT induced Abstractive Summarization Model, Proceedings of the International Conference on Intelligent Computing and Control Systems (ICICCS 2020)
[5]. Automatic Question Generation for Intelligent Tutoring Systems-A survey(2019).

Abstract: The covid pandemic has resulted in our new normal lifestyle of wearing masks in public places and following social distancing. Therefore, developing a model for identifying an individual wearing a mask had turned obligatory. In addition, in colleges, there is a need for a safe and modern technique for students' attendance system with face recognition. This system is a combination of mask detection with attendance system for students. This system can be applied in industries, offices, companies, conferences and at other public places.

Key Words: Face recognition, eigenfaces, Haar cascade, AdaBoost

[1]. Shamsul Jamel Elias, Shahirah Mohamed Hatim, Nur Anisah Hassan, Lily Marlia Abdul Latif - Face recognition attendance system using Local Binary Pattern (LBP) Vol. 8, ISSN: 2302-9285, 1, March 2019, pages- 7.
[2]. Susanto, Febri Alwan Putra, Riska Analia, Ika Karlina Laila Nur Suciningtyas - The Face Mask Detection For Preventing the Spread of COVID-19 , 16 February 2021, DOI: 10.1109/ICAE50557.2020.9350556
[3]. Real-Time Face Mask Detector with Python, OpenCV, Keras
[4]. Vivek Kumar Pandey - Artificial Intelligence Based Face Mask Detection System, Volume 5, Issue 8, August – 2020.pages- 4.