Report on 20-week professional internship (PI)

Internship is a learning process in which students get to experience out-of-school real working-life under the supervision of workplace professionals. Students can link and put their knowledge to practice, and simultaneously attain new knowledge from real-work exposure. Engineering students in Nanya...

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Main Author: Chee, Glenn Jun Yuan
Other Authors: Chng Eng Siong
Format: Professional Internship (PI)
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/136743
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1367432020-01-14T12:46:52Z Report on 20-week professional internship (PI) Chee, Glenn Jun Yuan Chng Eng Siong School of Computer Science and Engineering Ministry of Home Affairs (HQ) aseschng@ntu.edu.sg Engineering::General::Careers and profession Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Internship is a learning process in which students get to experience out-of-school real working-life under the supervision of workplace professionals. Students can link and put their knowledge to practice, and simultaneously attain new knowledge from real-work exposure. Engineering students in Nanyang Technological University (NTU), in the curriculum structure, must successfully complete one internship programme before their graduation. [1] This report provides a summary of the 20-week Professional Internship (PI) industrial training experience at Ministry of Home Affairs (HQ) with highlights on specific aspects of the training which was found to be the most enriching [2] [3]. The salient aspect of this 20-week internship is “Development and Training of ML Model”, where a Convolutional Neural Network (CNN) model is developed to explore and attempt classifying objects in X-Ray images by training the model with pictures of the objects in real-life, e.g. training with real-life images of batteries to supplement the lack of real X-Ray images (about 100). The idea is very bold as there are no prior studies of such kind. Hence, it was considered to be purely exploratory, and negative results are to be expected. In conclusion, the overall experience of this internship was a humbling and enriching one. Despite the primary task being unsuccessful as foreseen, achieving ~20% accuracy plateauing after 10,000 epochs, the work lays the foundation for future work. There were also unique learning experiences such as participating in an X-Ray scanner trial where test objects, including explosive simulants, were used to evaluate the performance of the scanner. This internship provided, for future careers, a good experience and exposure to real working life. 2020-01-14T12:46:52Z 2020-01-14T12:46:52Z 2019 Professional Internship (PI) https://hdl.handle.net/10356/136743 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::General::Careers and profession
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle Engineering::General::Careers and profession
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Chee, Glenn Jun Yuan
Report on 20-week professional internship (PI)
description Internship is a learning process in which students get to experience out-of-school real working-life under the supervision of workplace professionals. Students can link and put their knowledge to practice, and simultaneously attain new knowledge from real-work exposure. Engineering students in Nanyang Technological University (NTU), in the curriculum structure, must successfully complete one internship programme before their graduation. [1] This report provides a summary of the 20-week Professional Internship (PI) industrial training experience at Ministry of Home Affairs (HQ) with highlights on specific aspects of the training which was found to be the most enriching [2] [3]. The salient aspect of this 20-week internship is “Development and Training of ML Model”, where a Convolutional Neural Network (CNN) model is developed to explore and attempt classifying objects in X-Ray images by training the model with pictures of the objects in real-life, e.g. training with real-life images of batteries to supplement the lack of real X-Ray images (about 100). The idea is very bold as there are no prior studies of such kind. Hence, it was considered to be purely exploratory, and negative results are to be expected. In conclusion, the overall experience of this internship was a humbling and enriching one. Despite the primary task being unsuccessful as foreseen, achieving ~20% accuracy plateauing after 10,000 epochs, the work lays the foundation for future work. There were also unique learning experiences such as participating in an X-Ray scanner trial where test objects, including explosive simulants, were used to evaluate the performance of the scanner. This internship provided, for future careers, a good experience and exposure to real working life.
author2 Chng Eng Siong
author_facet Chng Eng Siong
Chee, Glenn Jun Yuan
format Professional Internship (PI)
author Chee, Glenn Jun Yuan
author_sort Chee, Glenn Jun Yuan
title Report on 20-week professional internship (PI)
title_short Report on 20-week professional internship (PI)
title_full Report on 20-week professional internship (PI)
title_fullStr Report on 20-week professional internship (PI)
title_full_unstemmed Report on 20-week professional internship (PI)
title_sort report on 20-week professional internship (pi)
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/136743
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