• Title/Summary/Keyword: ICT factors

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A Study on Development and Diagnosis Factors of On-Line DC Leakage Current System for Junctions of High-Voltage Cables in Operation at Thermoelectric Power Station (화력 발전소 고전압 케이블 접속재의 On-Line 직류 누설 전류 시스템 개발과 진단 Factor에 관한 연구)

  • Park, Sung-Hee;Um, Kee-Hong
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.187-193
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    • 2018
  • There has been a gradual increase in the demand for the electric power in Korea. In order to meet the demand, power station should have technical functions with increased effectiveness. When accident happens in electric machinery at power stations, huge amount of economic losses and mulfunction of equipments occur. One of the accidents is a deteriorated cables operating power stations. In order to prevent cable accident in advance, we should monitor the insulation status of the cable. Cable accidents are resulting from the junctions. We have developed and installed a device in order to identify the status of junction part of power cable at Korea Western Power Co., Ltd.. We performed an accurate diagnosis for the stable utilization of junctions where the accidents occurs most frequently, and to increase the reliability. In this paper, we present the concepts of our device and the method of monitoring diagnosis for the stable use of junctions at cables predicting the life time of cables by analyzing the data obtained by the device. We also present the hardware aspect of the device we have developed.

Analysis of Computational Thinking Level Through the Scratch Project Analyzation (스크래치 프로젝트 분석을 통한 컴퓨팅사고력 수준 분석)

  • Park, SunJu
    • Journal of The Korean Association of Information Education
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    • v.22 no.6
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    • pp.661-669
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    • 2018
  • As SW education has become essential since 2018 due to the revised curriculum in 2015, researches on SW education are actively being carried out. In order to understand the level of pre-service teachers' computational thinking level, we analyzed a correlation of CT element scores with each year and each grade based on the calculated Scratch project by years using the analysis tool Dr. Scratch, which was targeted for 325 students in K National University of Education who passed the scratch course from 2016 to 2018. The result indicated that there is a positive correlation between all the CT related factors and both the year and the grade. Conclusionally, it is crucial to have students undergo revising process by using an automated evaluation tool such as Dr. Scratch and cultivate ability to create and utilize required materials. Furthermore, it is necessary to educate students to utilize logical thinking elements such as complex conditions and logic operations.

The Impact of Entrepreneurial Spirit on the Willingness to Start Up via Utilizing Knowledge and Information by College Students: Focused on Self-leadership's Mediating Effect and Regulating Effect of Gender

  • Song, Deok-Geon;Im, Jin-hyuk;Lee, Jin-Hong;Kwon, Hyuk
    • International Journal of Knowledge Content Development & Technology
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    • v.8 no.4
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    • pp.33-53
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    • 2018
  • Since business startups are known to have positive effects on the economic growth of a country, it is necessary to review the factors influencing the willingness to start new businesses for the people to act on business startups. In this regard, the study sought to reexamine the findings of previous research showing that the innovative, initiative, and risk-taking characteristics, which are the constitutive elements of entrepreneurships, influence the willingness to start up. Furthermore, in this study, attempts were made to empirically analyze the direct and indirect relationships of self-leadership influencing the willingness to start new businesses. Consequently, first, it showed that college students' entrepreneurship has positive effects on the willingness to start new businesses. Second, the significance of the gender of college students was not confirmed as to playing a regulating role in the relationship between entrepreneurship and the willingness to start up. Third, the relationship between self-leadership and the willingness to start new businesses was validated to be significant in a positive direction. Fourth, no mediating effect of self-leadership in the relationship between entrepreneurship and the willingness to start new businesses was observed. Such research results have the following significances. First, while there is an awareness that the concepts of business start- up, entrepreneurship, and leadership carry masculinity, the lack of regulating effect of gender may reflect the changing phases of time and society where women's participation has been increasing. Second, self-leadership is a concept by which one pioneers his or her own life and an influencing factor on the willingness to start up; however, since it has enormous impacts on the entrepreneurship and willingness to start up, relevant mediating effects were not observed and the magnitude of the important influence between entrepreneurship and the willingness to start up were confirmed.

A Longitudinal Study on the Interrelation between Pay Level and Job Satisfaction of Old Salaried Workers using Latent Growth Modeling (중고령임금근로자의 임금수준과 직무만족에 관한 종단연구: 잠재성장모형을 이용한 상호의존성)

  • Choi, Byungwoo;Jun, Jae-Hoon;Cho, Yeong Bin
    • Journal of Convergence for Information Technology
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    • v.9 no.4
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    • pp.78-87
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    • 2019
  • The study examined how job satisfaction and pay level can affect on old salary workers over time using longitudinal data and longitudinal data analysis. The KLoSA 6-period panel data was used which contains alternate year from 2006 to 2016. In addition, Gender and Age is also considered as moderating variables. As result, the initial value and the slope of pay level influenced the initial value and the slope of job satisfaction, vice versa. It implicates the two factors of pay level and job satisfaction are interrelated. Based on the results of this study, limitations and suggestions were discussed for further research.

Development of Precision Agricultural Machine Education Program (정밀 농업기계 교육프로그램의 발전)

  • Hong, S.J.;Kim, D.E.;Kang, D.H.;Kim, J.J.;Kang, J.G.;Chung, S.O.;Mo, C.Y.;Ryu, D.K.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.22 no.2
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    • pp.115-122
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    • 2020
  • In Korea, the agricultural machinery market has been generally on the rise, and particularly the demand for the diverse agricultural machine is increasing due to the radical changes in agriculture, such as a high supply of the advanced and automated agricultural machine and an increase in aged or female farmer population. Therefore, this study analyzes the technical trends in the precision agricultural machine domestically and globally to guide the direction of development of the ICT-based machine. The investigation of the precision agricultural machine in this study focuses on the production technology through analyzing the trends in sensor-related technology, the decision-making research, variable treatment technology, and academic publication. The result shows that information processing technology including the sensor and the decision-making requires various measurement factors and the established technologies are continually being developed.

Investigation of the Influence of Induced Mood on Rehabilitation Engagement: a Study Focusing on Muscle Activity

  • Kim, Jung-Yeon;Jung, Bong-Keun
    • Journal of Biomedical Engineering Research
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    • v.43 no.3
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    • pp.161-169
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    • 2022
  • Engagement is an important factor in the field of rehabilitation as it is a known factor that have a positive influence on functional gaining in people who receive rehabilitation therapy. Although a number of measurements for engagement have been recently developed, investigation of possible factors that may have influence on engagement is not well established. Currently available evidence suggests that engagement is affected by mood and it is hypothesized that a personal factor may contribute to engagement. Therefore, this study aims to test the hypothetical relationship between mood and engagement while performing a manual dexterity task through an experiment in healthy participants prior to investigation on people with medical condition who requires rehabilitation therapy. After inducing target mood (positive or negative mood) for study participants by asking them to recall autobiographical memories, change in muscle activity, which was operationalized as an indicator of engagement, was investigated. Electromyogram (EMG) was recorded from four muscle areas in non-dominant hand side to quantify muscle activity. The results show that the target moods were appropriately induced with the method. Although there were subtle differences in the level of engagement between different moods, certain variables derived from muscle activity were significantly different; mean amplitude for wrist extensor EMG showed significant difference between different moods (Z = -2.023, p < .05) indicating that muscle activities in the wrist extensor are greater for positive mood than negative mood region during manual dexterity task. Meanwhile, performance outcomes of Minnesota Manual Dexterity Test (MMDT), such as mean completion time and number of errors, between moods showed no significant difference in two different moods, resulting in MMDT administration may not be useful task in distinguishing the level of rehabilitation engagement.

Designing Dataset for Artificial Intelligence Learning for Cold Sea Fish Farming

  • Sung-Hyun KIM;Seongtak OH;Sangwon LEE
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.208-216
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    • 2023
  • The purpose of our study is to design datasets for Artificial Intelligence learning for cold sea fish farming. Salmon is considered one of the most popular fish species among men and women of all ages, but most supplies depend on imports. Recently, salmon farming, which is rapidly emerging as a specialized industry in Gangwon-do, has attracted attention. Therefore, in order to successfully develop salmon farming, the need to systematically build data related to salmon and salmon farming and use it to develop aquaculture techniques is raised. Meanwhile, the catch of pollack continues to decrease. Efforts should be made to improve the major factors affecting pollack survival based on data, as well as increasing the discharge volume for resource recovery. To this end, it is necessary to systematically collect and analyze data related to pollack catch and ecology to prepare a sustainable resource management strategy. Image data was obtained using CCTV and underwater cameras to establish an intelligent aquaculture strategy for salmon and pollock, which are considered representative fish species in Gangwon-do. Using these data, we built learning data suitable for AI analysis and prediction. Such data construction can be used to develop models for predicting the growth of salmon and pollack, and to develop algorithms for AI services that can predict water temperature, one of the key variables that determine the survival rate of pollack. This in turn will enable intelligent aquaculture and resource management taking into account the ecological characteristics of fish species. These studies look forward to achievements on an important level for sustainable fisheries and fisheries resource management.

A Study on the Factors Influencing the Competitiveness of Small and Medium Companies Applied with Smart Factory System (스마트공장 시스템 구축이 중소기업 경쟁력에 미치는 요인에 관한 연구)

  • Young-Hwan Choi;Sang Hyun Choi
    • Information Systems Review
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    • v.19 no.2
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    • pp.95-113
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    • 2017
  • The advent of information communication technology or the Fourth Industrial Revolution facilitated the fusion of equipment and management systems, such as Manufacturing Execution System, Enterprise Resource Planning, and Product Lifecycle Management, in the successful implementation of smart factories. The government supports the early adoption of these systems in small and medium companies to enhance their global competitiveness in producing products that can be recognized in a dramatically changing manufacturing environment. This study introduces smart factories to improve company competitiveness and address influences from the government assistance, CEO leadership, external consultancy, and organizational participation. We analyzed 101 results received from the questionnaires circulated to small- and medium-sized manufacturing companies. Given a successful smart factory implementation, company competitiveness is the factor that mostly influences organizational participation, government assistance, external consultancy, and CEO leadership. This study suggests several perspectives to implement a smart factory, which is the most important aspect of company competitiveness.

Analysis of the growth environment and fruiting body quality of Pleurotus eryngii cultivated by Smart Farming (큰느타리(새송이)버섯 스마트팜 재배를 통한 생육환경 분석 및 자실체 품질 특성)

  • Kim, Kil-Ja;Kim, Da-Mi;An, Ho-Sub;Choi, Jin-Kyung;Kim, Seon-Gon
    • Journal of Mushroom
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    • v.17 no.4
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    • pp.211-217
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    • 2019
  • Currently, cultivation of mushrooms using the Information and Communication Technology (ICT)-based smart farming technique is increasing rapidly. The main environmental factors for growth of mushrooms are temperature, humidity, carbon dioxide (CO2), and light. Among all the mentioned factors, currently, only temperature has been maintained under automatic control. However, humidity and ventilation are controlled using a timer, based on technical experience.Therefore, in this study, a Pleurotus eryngii first-generation smart farm model was set up that can automatically control temperature, humidity, and ventilation. After installing the environmental control system and the monitoring device, the environmental condition of the mushroom cultivation room and the growth of the fruiting bodies were studied. The data thus obtained was compared to that obtained using the conventional cultivation method.In farm A, the temperature during the primordia formation stage was about 17℃, and was maintained at approximately 16℃ during the fruiting stage. The humidity was initially maintained at 95%, and the farm was not humidified after the primordia formation stage. There was no sensor for CO2 management, and the system was ventilated as required by observing the shape of the pileus and the stipe. It was observed that, the concentration of CO2 was between 700 and 2,500 ppm during the growth period. The average weight of the mushrooms produced in farm A was 125 g, and the quality was between that of the premium and the first grade.In farm B. The CO2 sensor was in use for measurement purposes only; the system was ventilated as required by observing the shape of the pileus and the stipe. During the growth period, the CO2 concentration was observed to be between 640 and 4,500 ppm. The average weight of the mushrooms produced in farm B was 102 g.These results indicate that the quality of the king oyster mushroom is determined by the environmental conditions, especially by the concentration of CO2. Thus, the data obtained in this study can be used as an optimal smart farm model, where, by improving the environmental control method of farm A, better quality mushrooms were obtained.

A Study on the Korea Future Internet Promotion Plan for Cyber Security Enhancement (사이버 보안 강화를 위한 한국형 미래 인터넷 추진 방안에 관한 연구)

  • Lim, Gyoo-Gun;Jin, Hai-Yan;Ahn, Jae-Ik
    • Informatization Policy
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    • v.29 no.1
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    • pp.24-37
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    • 2022
  • Amid rapid changes in the ICT environment attributed to the 4th Industrial Revolution, the development of information & communication technology, and COVID-19, the existing internet developed without considering security, mobility, manageability, QoS, etc. As a result, the structure of the internet has become complicated, and problems such as security, stability, and reliability vulnerabilities continue to occur. In addition, there is a demand for a new concept of the internet that can provide stability and reliability resulting from digital transformation-geared advanced technologies such as artificial intelligence and IoT. Therefore, in order to suggest a way of implementing the Korean future internet that can strengthen cybersecurity, this study suggests the direction and strategy for promoting the future internet that is suitable for the Korean cyber environment through analyzing important key factors in the implementation of the future internet and evaluating the trend and suitability of domestic & foreign research related to future internet. The importance of key factors in the implementation of the future internet proceeds in the order of security, integrity, availability, stability, and confidentiality. Currently, future internet projects are being studied in various ways around the world. Among numerous projects, Bright Internet most adequately satisfies the key elements of future internet implementation and was evaluated as the most suitable technology for Korea's cyber environment. Technical issues as well as strategic and legal issues must be considered in order to promote the Bright Internet as the frontrunner Korean future internet. As for technical issues, it is necessary to adopt SAVA IPv6-NID in selecting the Bright Internet as the standard of Korean future internet and integrated data management at the data center level, and then establish a cooperative system between different countries. As for strategic issues, a secure management system and establishment of institution are needed. Lastly, in the case of legal issues, the requirement of GDPR, which includes compliance with domestic laws such as Korea's revised Data 3 Act, must be fulfilled.