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Combining laboratory-based learning with problem-based learning in undergraduate PLC course at Technical Colleges

The necessity of accomplished engineers and technicians, who are competent in handling the problems of the emerging industry, brings the conventional teaching approaches into question. Engineering technology students should be skilled to confront the technical challenges they will come across in their professional careers by using innovative teaching methods based on projects and real industrial applications. In this study, Teaching-Learning Environments for PLC Program were enhanced, as it is taught to the Electrical and Electronic department students in the Technical Colleges. The emphasis is on the content of a course unit, particularly the choice of the learning methods and its effect on the students. This complete PLC program combines laboratory-based learning with a problem-based learning (PBL) approach. It is also aimed to develop the students' practical skills and meet the requirements of the labor market. Data collected from the labor market and discussed with the academic experts guided us to set our approach, develop the program and improve the students’ practical skills. Coming into practical, we have received a lot of positive feedback from students after carrying out a survey and before determining its educational effectiveness.

Published by: Ahmed Sarhan, Dr. Mohamed Gouda, Dr. Ashraf Fathy Mohamed Ali

Author: Ahmed Sarhan

Paper ID: V5I6-1254

Paper Status: published

Published: December 19, 2019

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Research Paper

Work absenteeism among health assistants in secondary care hospitals, Batticaloa district, Sri Lanka

Background: Absenteeism in the health sector is frequently referred to as the loss of scheduled time due to unscheduled work absence which has remained a long-standing challenge worldwide. Approval for the leave should be obtained from Heads of the institution before the leave with acting duty. However, being absent from work without prior information has been a major issue among health assistants in hospitals. This study was aimed at analyzing the absenteeism among health assistants in Base Hospitals in the Batticaloa district. Materials and methods: Descriptive cross-sectional study was carried out in all four Base Hospitals (BHs) in Batticaloa District. Data collection was carried out in May 2019 by self-administered questionnaire. Results: One hundred and fourteen (49.1%) out of 232 HA had at least one spell of absence in the year 2018. Among the four BHs in the Batticaloa district, BH Eravur showed the highest and BH Kaluwanchikudy showed the lowest absentee percentage with statistical significance (P<0.01). The overall absenteeism rate was 2.3% with BH Eravur having the highest (4.25%) and BH Kaluwanchikudy having the lowest (0.95%) absenteeism rate. Respondents whose jobs were stressful were more likely to be absent from work compared with their counterparts (OR = 4.13). Nearly 45% of absentees had stated that the reason for absence was sickness. Conclusion: This study concluded that findings showed that up to half of the study subjects experienced at least one spell of absence. Also, it is significantly different between individual institutions. Even though overall absenteeism rate was low it differs significantly among hospitals.

Published by: Mayuran Nagalingam, Thayahlini Sasikumar

Author: Mayuran Nagalingam

Paper ID: V5I6-1260

Paper Status: published

Published: December 19, 2019

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Research Paper

Frauds in Indian banking industry

The Indian banking sector has full-fledged appreciable growth and changes since the alleviation of the economy in 1991. Though' the industry is usually well regulated and supervised, the world suffers from its own set of challenges once it involves moral practices, money distress and company governance. This study endeavors to hide problems like banking frauds and mounting MasterCard debt, with a close Analysis victimization secondary information (literature review and case approach) moreover as an interview-based approach, spanning across all players concerned in reportage money misconduct. The report touches upon the case of rising NPAs within the past few years across varied regular business banks, particularly public sector banks. The study finally proposes some recommendations to cut back the future prevalence of fraud in Indian banking sector. The believability of third parties like auditing corporations and credit rating agencies is additionally questioned within the study and is believed to be a major contributor amongst alternative causes, like an oversight by banks and inadequate diligence.

Published by: Sushma Rawath

Author: Sushma Rawath

Paper ID: V5I6-1265

Paper Status: published

Published: December 18, 2019

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Review Paper

Survey on document image binarization

Segmentation of text from badly degraded document images is a very challenging task due to the high inter/Intra variation between the document background and the foreground text of different document images. Image processing and pattern recognition algorithms take more time for execution on a single-core processor. Graphics Processing Unit (GPU) is more popular now-a-days due to their speed, programmability, low cost and more inbuilt execution cores in it. The main goal of this research work is to make binarization faster for recognition of a large number of degraded document images on GPU. In this system, we provide a new image segmentation algorithm that each pixel in the image has its own threshold proposed. We are doing parallel work on a window of m*n size and extract object pixel of text stroke of that window. The document text is further segmented by a local threshold that is estimated based on the intensities of detected text stroke edge pixels within a local window

Published by: Pradnya Ulhas Patil

Author: Pradnya Ulhas Patil

Paper ID: V5I6-1266

Paper Status: published

Published: December 16, 2019

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Survey Report

Chatbot for college using Google Actions

The project Chatbot for college using Google Actions is a mobile application that presents a solution to the query of the users. Users just must question the bot and Chatbot will answer user's queries. Students can ask questions the usage of any English textual content or Voice. There is not any precise layout, the consumer has to follow. The System uses AI to answer the query supplied via Google moves for the student questions. The gadget replies using a powerful technique which is a Graphical User Interface which implies that as if an actual character is speaking to the person

Published by: Ayushi Turkar, Bhuvana K., Zeba Ali, Syeda Ameena Kouser, Ravi P.

Author: Ayushi Turkar

Paper ID: V5I6-1261

Paper Status: published

Published: December 16, 2019

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Review Paper

A study on rain streaks removal from an image in outdoor vision systems

The quality of captured images will be highly affected by an abnormal weather like rain or snow. Such bad weather conditions can degrade and corrupt the performance of various outdoor vision systems like CCTVs, traffic cameras etc. Even if many bad weather conditions can affect the quality of captured images, rain affects the image in a more negative way because, it is observed as bright streaks. Because of the negative effect of rain on outdoor vision systems, rain removal is an important problem. Detecting rain streaks accurately is a difficult task since rain has no particular location in an image. Rain removal has been an active research topic over many years and several techniques has been proposed. From all these studies, rain removal from an image can be classified into four main categories. The first category is simply filtering based whereas the second category builds models for rain streaks. In the third category, a 2-step processing is performed for rain removal and in the fourth category, deep learning techniques are used. So, in this paper, we have done a detailed study on the effects of rain on images and various rain removal methods.

Published by: Aiswarya C. B., Dr. K. S. Angel Viji

Author: Aiswarya C. B.

Paper ID: V5I6-1257

Paper Status: published

Published: December 13, 2019

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