• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.370-379
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• 2018

The Korean government announced plans for the International Science Business Belt as a spatial area for promoting the linkage between scientific knowledge and commercialization in 2009. R&D and entrepreneurial activities are essential for the success of the International Science Business Belt. In particular, prioritizing the types of businesses is critical at the cluster establishment stage in that this largely affects the features and development of clusters comprising the International Science Business Belt. This research aims to predict the entry and growth of firms that specialize in four industrial clusters, including Big Science Cluster, Frontier Cluster, ICT Cluster, and Bio-Healthcare Cluster. For this purpose, we employ the Swann & Prevezer's industrial clustering model to identify sectors that affect the establishment and growth of industrial clusters in the International Science Business Belt, focusing on ICT, Bio-Healthcare and Frontier clusters. Data was collected from the 2014 Korean Innovation Survey (KIS) and University Alimi for the ICT cluster, 2014 National Bio Industry Survey and University Alimi for the Bio-Healthcare Cluster, and the 2015 National Nano Convergent Industry Survey and Annual Report of Nano Technology for the Frontier cluster. Empirical results show that the ICT service sector, bio process/equipment sector, and Nano electronic sector promote clustering in other sectors. Based on the analysis results, we discuss several policy implications and strategies that can attract relevant firms for the development of industrial clusters.

• The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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• v.13 no.1
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• pp.51-62
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• 2002

EMI/EMS 측정을 위해서는 주변 전자파 잡음(background noise)이 낮은 야외시험장(Open Area Test Site)이 가장 바람직하나, 근래 전자(전기 기기 사용의 증가와 방송.무선통신 시스템의 다양화로 인한 인공잡음(artificial noise)의 증대로 조건에 부합된 부지 선정이 어렵고, 설치 비용이 매우 크며 날씨 변화에 따라 시험 계획이 변경 될 수도 있는 단점이 있다. 전자파 분-무반사실(Semi Anechoic Chamber)은 대부분의 환경 잡음을 감쇠시키므로 야외시험장처럼 장소의 구애를 받지 않아 도시나 혹은 제품 생산지 가까이에 설치 운용이 가능하다. 그러나 큰 설치 공간과 많은 시설 유지 비용을 필요로 하며, 저주파 대역에서는 반사에 의한 공진을 완전히 제거할 수 없어 성능이 떨어진다. 또한, 최근 컴퓨터 CPU의 동작주파수가 급속하게 높아지고 PCS, IMT-2000 등과 같은 이동전화의 사용주파수도 계속해서 높아짐에 다라 미연방통신위원회(Federal Communication Commission)에서는 5㎓까지의 복사 방출 시험을 요구하고 있다. IEC 61000-4-3 복사 내성 시험규격도 휴대폰 주파수인 2㎓까지 확장되었으며 IMT-2000, Bluetooth 등 새로운 이동통신서비스가 속속 개발됨에 따라 18㎓ 까지 시험 주파수가 확장되는 추세이다. 그러나, 현재 국내 각 연구실에서 보유하고 있는 야외시험장이나 전자파 반-무반사실의 경우 1㎓이상에서의 시험이 곤란하여 수 ㎓주파수대역에서 시험이 가능한 복사 및 내성시험 시설이 필요하게 되었다. 이러한 문제점들을 해결하기 위해 고안된 대용 측정 시설 중 대표적인 것이 TEM 셀이나 GTEM셀과 같은 TEM 도파관(waveguide) 형태의 장비들이다. 이들은 본래 EMS 측정을 위한 장비이지만 협소한 공간이나 외부와의 전자파 간섭의 우려가 없고, 설치가 비교적 자유로워 여러 연구기관에서 도파관 원리를 이용한 측정 방식을 연구(개발하여 범용적인 전자파 적합성 측정 장비로서 활용하고 있다. 야외시험장과 무반사실 등이 안테나에 의한 피시험기기 주변 공간에서의 1점 측정으로 인해 시험 시간이 많아 소요되는 공통적인 단점이 있는 반면, TEM 도파관에 의한 측정은 일단 피시험기기의 모델링 정보만 얻어지면 계산에 의해 EMI 측정을 바로 할 수 있다. <표 1>에서 현재 상용화되어 사용되고 있는 TEM/GTEM 셀, 야외 시험장 및 전자파 무반사실에 대해 EMI 측정과 관련된 몇 가지 사안에 대해 비교하였다. 본 문서에서는 야외시험장이나 전자파 반-무반사실 등과 같은 기존 EMI/EMS 측정 시설의 단점을 보완하고, 광대역 특성을 갖는 대용 측정 시설로서의 TEM 도파관에 대해 소개하고 야외시험장 결과와의 상관관계 알고리즘 및 표준화 동향에 대해 기술하였다. 2절에서는 대표적인 TEM 도파관 구조의 측정 시설인 TEM 셀과 GTEM 셀의 전기적.구조적 특징에 대해 간단히 기술하고, 3절에서는 TEM 셀과 GTEM 셀에서이 측정결과를 이용하여 야외 시험장 결과를 얻어내는 상관관계 알고리즘에 대해 기술하였다. 4절에서는 IEC/CISPR와 TC77에서의 표준화 활동을 중심으로 현재 진행중인 TEM 도파관 관련 표준화 동향과 내용에 대해 기술하고자 한다.

• Asia pacific journal of information systems
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• v.23 no.3
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• pp.77-104
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• 2013

Mobile technology is accelerating innovative changes across all fields of our society as well as business environments. Especially, demands on mobile government (M-government) services have been increased gradually since e-government has improved national administration services dramatically. However, high-quality services which are acceptable to may users are not actually supplied because technical issues such as security on mobile e-government services have not solved and governance policy was not established yet. Previous studies show that most researches are devoted to technical ones or limited to theoretical exploratory study. As a result, developing useful guidelines which are practically and theoretically proved is one of the very important research issues. This study reviews the previous research works such as concept of mobile, e-government, M-government, technical trends of mobile, market situations, present status, and various case studies. And then we develop a research model with five factors, twenty four variables and seventy six measurement for measuring the influencing factors to adoption of M-government services. The model is composed of total 16 hypotheses, 22 variables, and 76 measurements. The model is analyzed by using statistical package SPSS (18.0) and AMOS (18.0) together with structural equation method based on 294 samples. The results show that the model is valid and there are statistically significant influence between ease of use and usefulness, ease of use and user's satisfactions, usefulness and intent of re-use, and user's satisfactions and intent of re-use, excepting usefulness and user's satisfaction, ease of use and intent of re-use did not affect significant influences. Especially, service quality, system quality, and relationship quality are identified as influencing factors to adaption of M-government service. The results are expected to provide a theoretical research framework which generate new research issues in M-government service area. It also can provide an useful guidelines to practical experts in successfully implementing M-government services. Further research directions are as follows. User's intents have to be studied in details by classifying users by individual, enterprise, and government as well as developing a new hypothetical model. Since M-government service is at the initial stage, longitudinal studies have to be conducted to trace the peoples' need in order to develop new high-quality mobile services.

• Informatization Policy
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• v.27 no.1
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• pp.92-114
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• 2020

The purpose of this study is to analyze people's motivations to use the National Petition service of CheongWaDae, the Presidential Office of Korea. The online space has been used as a testbed of deliberative democracy. In fact, a wide variety of public opinions are being formed and gaining sympathy through the E-Petitions and Daum's Agora. In this regard, President Moon's government launched a petition site to gather public opinions. For any petition agreed on by more than 20,000 people within 30 days, the relevant ministry or the President's office must provide answers or feedback. This study wants to figure out how this National Petition is different from previous platforms like Agora or E-Petitions and why it is so well-received by people. This study uses a mix of both qualitative and quantitative methods. First, we conducted a focus group interview to factorize experiences of using the National Petition into measurable constructs. Second, we did a survey o 156 Koreans who had experienced the National Petition. Results show that symbolism, usefulness, gratification, and trust have positive impact on continuous usage intention. This study argues that symbolism, usefulness, gratification, and trust factors should be in place rather than technical aspects in order to increase the actual participation of users on the online platform of deliberative democracy. In addition, this study is meaningful in that it examined how different the CheongWaDae's National Petition is from the existing platforms for collecting public opinions and analyzed factors that encourage continuous use.

• Journal of the Korean Data and Information Science Society
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• v.25 no.3
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• pp.579-599
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• 2014

The purpose of this study was to identify the trends and risk of bias of research using time series analysis on health and welfare in Korea and to suggest a direction for future health and welfare research. The database searches identified 6,543 papers. Following the process for screening and selecting, a total of 91 papers were included in the systematic review. There has been a steady increase in the number of articles using time series analysis from 1987 to 2013. Time series analysis was applied in medicine and health science journals. The main goals were explanation and description. Most of the subjects were heath status and utilization of healthcare services. The main model used in the time series analysis was ARIMA followed by time series regression. The data were gathered from various sources, including the national statistical office and government agencies. For assessing risk of bias, some studies were found to have inadequate sample sizes or showed no time series graphs and plots. These findings suggest greater widespread utilization of time series analysis in the field of health and welfare and to use the appropriate analysis methods and statistical procedures to obtain more reliable results to improve the quality of research.

• The Korean Journal of Archival Studies
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• no.39
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• pp.101-138
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• 2014

This study examined the influence and meaning of SNS as the hot topic of our time from the archival perspective and also studied the 'SNS records management'. The many users mean a high accessibility and utilization of SNS, which increase the influence and value of SNS as a record. Politically, SNS is a tool that strengthens the communication among the voters, politicians and the public while economically, it is a window to accept the complaints of the customers and a marketing tool. In addition, the voices of social minorities are also recorded unlike in the traditional media, which makes the SNS record a method to gain the social variety and diversity. SNS is a place of formation of collective memory and collective memory itself. Furthermore, it can play the role of public sphere. It also is a place for generation of 'big data' in an archival sense. In addition, this study has classified the SNS records management into primary and secondary management that include record management entities, subjects, periods, methods, and causes. This study analyzed the history, status, and the meaning of SNS to assess the values and meanings as the preliminary study for the future SNS record management studies.

• Journal of the Korea Society for Simulation
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• v.30 no.1
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• pp.103-112
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• 2021

In recent years, public bicycle systems are widely spread over the world according to the development of ICT technology. Since the public bicycle systems in large cities need to secure both publicity and convenience for citizens, analysis of various their issues from introduction to operation is required. In addition, it is also necessary to prepare for various scenarios for coexistence with the PM business, which is recently in the spotlight as a last mile means and normally managed privately. This paper introduces modeling and simulation for efficient operations of public bicycle systems. In particular, the proposed method was developed in a form that can be easily used in other cities by modeling the general structure and behavior of the public bicycle system, and it was developed to facilitate modification and expansion of the future model with a component-based model configuration. This paper provides a case study of the propose method, which is the public bicycle simulation in Sejong City. The simulation results were derived by applying the data from the public bicycle system of Sejong City, and they were verified with the associated real data of Sejong City. Using the verified model, it is expected that it can be used as a tool to design and analyze various services on the public bicycle systems, which were especially suitable for Sejong City.

• Journal of the Korea Society for Simulation
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• v.31 no.1
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• pp.29-41
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• 2022

As one of the alternatives to solve the problem of unstable food supply and demand imbalance caused by abnormal climate change, the need for plant factories is increasing. Airflow in plant factory is recognized as one of important factor of plant which influence transpiration and heat transfer. On the other hand, Digital Twin (DT) is getting attention as a means of providing various services that are impossible only with the real system by replicating the real system in the virtual world. This study aimed to develop a digital twin model for airflow prediction that can predict airflow in various situations by applying the concept of digital twin to a plant factory in operation. To this end, first, the mathematical formalism of the digital twin model for airflow analysis in plant factories is presented, and based on this, the information necessary for airflow prediction modeling of a plant factory in operation is specified. Then, the shape of the plant factory is implemented in CAD and the DT model is developed by combining the computational fluid dynamics (CFD) components for airflow behavior analysis. Finally, the DT model for high-accuracy airflow prediction is completed through the validation of the model and the machine learning-based calibration process by comparing the simulation analysis result of the DT model with the actual airflow value collected from the plant factory.

• Industry Promotion Research
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• v.8 no.1
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• pp.83-94
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• 2023

This study explored the effect of corporate field teacher and corporate education satisfaction on apprenticeship education satisfaction and student job competency development focusing on NCS job standards and industry-academia-integrated apprenticeship school project group. As a result of the study, satisfaction with corporate field teachers in the electrical, electronic, and food service sectors was found to have a positive influence on improving students' job competency, while satisfaction with corporate education was important in the management, accounting, office, and information and communication sectors. In the analysis by type of project group, the satisfaction of corporate field teachers in the joint practice type and industry-led type had a strong influence on improving job competency, but in the base school type and single school type, corporate education satisfaction had a greater influence on capacity improvement. Therefore, it is necessary to redefine the competencies of corporate field teachers and to establish and implement an industry-academic integrated apprenticeship school operation plan with the relationship between the type of project group and NCS job standard classification.

• The Korean Journal of Applied Statistics
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• v.36 no.6
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• pp.515-528
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• 2023

With the growth of the e-commerce market, consumers increasingly rely on user reviews to make purchasing decisions. Consequently, researchers are actively conducting studies to effectively analyze these reviews. Among the various methods of sentiment analysis, the aspect-based sentiment analysis approach, which examines user reviews from multiple angles rather than solely relying on simple positive or negative sentiments, is gaining widespread attention. Among the various methodologies for aspect-based sentiment analysis, there is an analysis method using a transformer-based model, which is the latest natural language processing technology. In this paper, we conduct an aspect-based sentiment analysis on multilingual user reviews using two real datasets from the latest natural language processing technology model. Specifically, we use restaurant data from the SemEval 2016 public dataset and multilingual user review data from the cosmetic domain. We compare the performance of transformer-based models for aspect-based sentiment analysis and apply various methodologies to improve their performance. Models using multilingual data are expected to be highly useful in that they can analyze multiple languages in one model without building separate models for each language.