• Title/Summary/Keyword: walkers

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A Study on the Implementation of RPA Software for the Manufacturer Automation: Focusing on the Case of a Local Manufacturer (제조업체 사무자동화를 위한 RPA 소프트웨어 구현에 대한 연구: 지역 제조업체 사례를 중심으로)

  • Chung, Sung-Wook
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.2_2
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    • pp.247-255
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    • 2022
  • Robot Process Automation (RPA) is a computer technology called Robotic Process Automation, a form of business process automation based on the concept of software robots or artificial intelligence (AI) walkers. In general, in traditional workflow automation tools, software developers design software that creates a set of actions to automate tasks and interfaces for the back-end systems using internal APIs or dedicated script languages. However, in RPA software, automation can be implemented by configuring an operating processor as if the general user is directly performing the task of the application. In other words, it can be said that it is a suitable development method for automating simply repetitive tasks rather than developing specific programs in which all necessary functions are implemented, as in general software development. Thus, this is more appropriate for configuring and automating RPA software in traditional manufacturing companies that are not easy to develop and apply smart factories or high-end AI software. Therefore, this research aims to analyze the requirements required at the actual manufacturing companies, focusing on the manufacturer's case in Changwon, Gyeongsangnam-do, called SinceWin Co., Ltd., and to examine the possibility of RPA software in the manufacturing companies by implementing actual RPA software that supports office automation. Through the research, it was confirmed that the actually implemented RPA software met the requirements of the company and helped manufacturer practice significantly by automating the parts that were worked error-prone and manually periodically.

Development of Processing Program for Audio-vision System Based on Auditory Input (청각을 이용한 시각 재현장치의 분석프로그램 개발)

  • Heo, Se-Jin;Bang, Sung-Sik;Seo, Jee-Hye;Choi, Hyun-Woo;Kim, Tae-Ho;Lee, Na-Hee;Lee, Yu-Jin;Park, Ji-Won;Lee, Hui-Joong;Won, Chul-Ho;Lee, Jong-Min
    • Journal of Korea Multimedia Society
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    • v.13 no.1
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    • pp.58-65
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    • 2010
  • The final goal of our research is developing not a simple collision a1ann equipment for the blinded walkers, but the apparatus (Audio- Vision System) which can simulate vision based on auditory information so that the blinds can figure the three dimensional space in front of them. On the way to the final goal, in this study, simulation software was developed and verified. Thirty normal volunteers were included in the subject group and the average age Was 25.8 years old. After being accustomed to the system by evaluating 10 blinded virtual spaces, the volunteers performed test using another set of 10 blinded virtual spaces. The results of test were scored by shape, center, margin, and gradient surface of objects in virtual space. The score of each checking point ranged from 1 to 5, and the full score was converted to 100. As results of this study, the total score ranged from 77 to 97 with the average of 88.7. In this study, a simulation software was developed and verified to have acceptable success rale. By combining to visual sensors, the vision-reconstruction system based on auditory signal (Audio-vision System) may be developed.

Comparative Study of Low Back Pain between White Collar Workers and Blue Collar Workers (사무직 근로자와 육체 노동자의 요통특성에 관한 비교 고찰)

  • Park Ji-whan
    • The Journal of Korean Physical Therapy
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    • v.3 no.1
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    • pp.123-149
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    • 1991
  • This study has been attempted to be helpful for the back rehabilization of Korean workers by analyzing the general, occupational, social aspects of low back pain and to identify possible risk factors for back pain in White and Blue collar workers. The primary data were collected from 380 workers in Seoul city by means of a Questionnaire with random which was distributed from March 10 to 31, 1990. For the test of statistical significance, chi-square analysis was used to compare the back pain characteristics between above two groups. The results were as follows : 1. The incidence of low back pain in all walkers studied was $79.7\%$. The incidence of Blue collar with low back pain $(87.2\%)$ was higher than that of White collars $(75.0\%)$. 2. With regard to the relationship of back pain to the occupational characteristics, statistically significant differences were observed between workers with and without back pain concerning the job factors on work-time, job satisfaction, mental stress, chair fittness, work posture, work rotation, weight lifting, monotonous repetitive movements, vibration, and heavy noise (p<0.05). 3. With regard to the relationship of back pain to the social characteristics, there were no differences with respect to having car, personality types, drinking habits, and leisure-time activities. However, significant differences were showed between no pain and pain groups for the using bed, sleeping posture, traffic time amount, walking health state, smoking habits, and physical exercise (p<0.05). 4. The comparative analysis of back pain related to work factors showed highly significant differences with respect to mental stress, chair fittness, work posture, trunk rotation, weight lifting, monotonous repetitive work in White collar group (p<0.01) ; and job satisfaction, mental stress, trunk rotation, weight lifting, monotonus repetitive work, exposure to vibration and heavy noise in Blue collar group(p<0.01). 5. The comparative analysis of social factors in two groups showed differences with respect to the using bed, sleeping posture, walking amount, health state, physical exercise, smoking habits in White cellar group (p<0.05) ; and walking amount, traffic time amount, health state, smoking habits, physical exercise in Blue cellar group (p<0.05). 6. In regard to the general aspects of back pain between two groups, there were differences concerning etiolgy of back pain, counselling partners, treatment types, and sick-leaves(p<0.05), except pain duration, and awareness of back pain.

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