• Title/Summary/Keyword: 주제접근

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EA Study on Practical Engineering Education through the Design and Configure of Safe Running Type Drones (안전 주행형 무인기의 설계 및 제작을 통한 실천 공학 교육에 관한 연구)

  • Jo, Yeong-Myeong;Lee, Sang-Gwon;Chang, Eun-Young
    • Journal of Practical Engineering Education
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    • v.9 no.1
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    • pp.7-13
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    • 2017
  • This study will provide a practical plan of engineering education through the study of major activities connected with the production of works to accomplish the graduation conditions by completing the comprehensive design subject and the result of the performance. The designed subject is to measure the minimum safety distance during driving using the obstacle detection function of the ultrasonic sensor and to perform the avoidance algorithm based on the measurement value of the acceleration gyro sensor. It is proposed an access surveillance system that minimizes the damage of drones, surrounding objects, and people, and improves air mobility. Experimental results show that the obstacles around the drone are detected by five ultrasonic sensors and the difference of output value is applied to each motor of the drone and obstacle avoidance is confirmed. In addition, the content and level of the data for measuring the achievement of learning achievement in the engineering education certification program were used and the results were confirmed to be consistent with the description of the engineering problem level required for the graduates of 4-year engineering college.

The Lived Experiences of Supported Housing among People with Psychiatric Disabilities (정신장애인의 체험홈 이용경험에 관한 연구)

  • Koo, Chun Young;Kim, Mi Young;Koo, Jin Hee
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.2
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    • pp.1-11
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    • 2019
  • The purpose of this study is to investigate in depth the lived experiences of utilizing supported housing among people with psychiatric disabilities. Phenomenological approach was used for this study. A total of 9 people with psychiatric disabilities were recruited as research participants. Data was collected through in-depth interviews from September, 2016 to March, 2018. Transcribed data from audio recordings on interviews were analyzed using the Colaizzi method. 6 clustered themes consisting of 17 sub-themes emerged through the qualitative data analysis and they include the following: 1) Confusion at site daily residence; 2) Feeling relaxed in supported housing site; 3) Development in self-perception; 4) Undertaking a leading role; 5) Growing capacity for independent living; and 6) Integration into normal life. Study findings suggest that expanding supported housing and improving its quality for people with psychiatric disabilities are needed. Additionally, the field of mental health needs an increase in the number of case managers with expertise in dealing with people suffering from psychiatric disabilities and their recovery.

Policy Diagnoses and Prescriptions of Crisis on Industrial Regions in the Republic of Korea (한국 산업위기지역에 대한 정책적 진단과 처방)

  • Jung, Sung-Hoon
    • Journal of the Economic Geographical Society of Korea
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    • v.22 no.3
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    • pp.237-245
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    • 2019
  • The aim of this article is to introduce articles of the special issue on 'Revitalization Conditions on Crisis on Industrial Regions: Experience from Europe and the Republic of Korea, and to explore policy alternatives to crisis on industrial regions on the basis of policy diagnoses and prescriptions. In the existing research, diagnoses of such Korean regions are quantitatively focused upon industry, employment, plant, consumption, investment, real estate, and labour market, and are qualitatively based upon external environment and functional, structural and spatial characteristics. Prescriptions of such regions emphasize the establishment of a law and an institutional fix, financial supports, jobs' creation, industrial diversification, the intensification of urban foundation throughout the urban revitalizaion. In the policy development for these regions, it is required to link the industrial sector to social, educational, political and welfare sectors, and furthermore the collaboration of inter- and intra-ministry and the active participation of provincial and local governments are needed.

A study of Wang Pang's Commentary on Zhuang Zi (왕방(王?)의 『남화진경신전(南華眞經新傳)』 연구 - 「소요유」·「제물론」·「양생주」·「인간세」·「천하」를 중심으로 -)

  • CHO, HANSUK
    • The Journal of Korean Philosophical History
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    • no.57
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    • pp.151-181
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    • 2018
  • This thesis is composed mainly of Wang Pang王?'s Nan Hua Zhen Jing Xin Zhuan南華眞經新傳 interpretation. I have focused on four chapter of Wang Pang王?'s Nan Hua Zhen Jing Xin Zhuan南華眞經新傳. The four chapters are just Xioa Yao You逍遙遊 and Qi Wu Lun齊物論 and Yang Sheng Zhu養生主 and Ren Jian Shi人間世. In the first chapter, I pointed out the errors and ambiguous topic setting of Japanese research papers. As a result of reading and analyzing these chapters, I have come to the conclusion that it is a fusion of Zhuang Zhi莊子 reading. This is the content of the second chapter. And in the third chapter, I pointed out that his the interpretation of Ideal personality in Zhuang Zhi is not a spiritual being but the supreme power of reality. As above, he interpreted the Zhuang Zhi from a mixed viewpoint and attempted to read the Zhuang Zhi again from a Confucian point of view.

An analysis of the change in media's reports and attitudes about face masks during the COVID-19 pandemic in South Korea: a study using Big Data latent dirichlet allocation (LDA) topic modelling (빅데이터 LDA 토픽 모델링을 활용한 국내 코로나19 대유행 기간 마스크 관련 언론 보도 및 태도 변화 분석)

  • Suh, Ye-Ryoung;Koh, Keumseok Peter;Lee, Jaewoo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.5
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    • pp.731-740
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    • 2021
  • This study applied LDA topic modeling analysis to collect and analyze news media big data related to face masks in the three waves of the COVID-19 pandemic in Korea. The results empirically show that media reports focused on mask production and distribution policies in the first wave and the mandatory mask wearing in the second wave. In contrast, more reports on trivial, gossipy events consist of the media coverage in the second and third waves. The findings imply that Korea's governmental interventions to address the shortage of face masks and to regulate mask wearing were successful relatively in a short time. In contrast, the study also reports that there may be relative less number of science-based news reports like the ones on the effectiveness of face masks or different levels of filter types. This study exemplifies how a big data analysis can be applied to evaluate and enhance public health communication.

A Study on Information Needs and Behavior for the Development of Academic Library Services (대학도서관 서비스 개발을 위한 이용자 정보요구 및 정보행위 연구)

  • Kim, Hyeyoung;Kim, Giyeong;Min, Yoonkyung;Lee, Jee Yeon
    • Journal of the Korean Society for information Management
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    • v.38 no.2
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    • pp.305-336
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    • 2021
  • This study explored the user's information needs and information behavior for the development of academic library services. The content analysis of qualitative data showed that the in-depth interview participants have six types of information needs such as 'suitability, up-to-dateness, uniqueness, reliability, practicality, and convenience' while going through societal, educational, and research-related changes. Interview participants solved their information needs by acquiring the resources necessary for each individual's task through information behaviors using information media, human resources and the places. Each participant tried to solve his/her information problem through individual efforts based on their different media and information utilization capabilities. Based on the analysis, this study presented four directions in the development of academic library services. They are an personalized information literacy service, a space to meet the characteristics of information needs, an infrastructure platform for exchanging human resources, and an accessible support service for utilizing information media.

Improved Sensor Filtering Method for Sensor Registry System (센서 레지스트리 시스템을 위한 개선된 센서 필터링 기법)

  • Chen, Haotian;Jung, Hyunjun;Lee, Sukhoon;On, Byung-Won;Jeong, Dongwon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.1
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    • pp.7-14
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    • 2022
  • Sensor Registry System (SRS) has been devised for maintaining semantic interoperability of data on heterogeneous sensor networks. SRS measures the connectability of the mobile device to ambient sensors based on positions and only provides metadata of sensors that may be successfully connected. The step of identifying the ambient sensors which can be successfully connected is called sensor filtering. Improving the performance of sensor filtering is one of the core issues of SRS research. In reality, GPS sometimes shows the wrong position and thus leads to failed sensor filtering. Therefore, this paper proposes a new sensor filtering strategy using geographical embedding and neural network-based path prediction. This paper also evaluates the service provision rate with the Monte Carlo approach. The empirical study shows that the proposed method can compensate for position abnormalities and is an effective model for sensor filtering in SRS.

Analysis and simulator implementation of Mighty, an advanced imperfect information game

  • Lee, Jeongwon;Kim, Kwihoon;Kim, Seung-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.1
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    • pp.9-21
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    • 2022
  • Mighty is an imperfect information game, similar to the internationally popular four-player card game Bridge, but more complex in terms of game rules and operation. An environment for exploring and analyzing the strategy of the Mighty Game is required, but compared to the development of many simulators for strategy analysis of other card games such as Bridge, there is no analysis tool for the Mighty Game. Even the definition and understanding of the Mighty game at the academic level is lacking. To solve these problems, this paper systematically defined the procedures and rules of the Mighty Game. And based on this definition, we implemented a simulator that can learn Mighty game and analyze various strategies. For the usability and accessibility of the service, the simulator was developed with JavaScript, and various analysis functions are provided in the web environment. Lastly, comparative analysis with other trick-taking games dealt with in the related research domain showed that the Mighty game has its value as an incomplete information game and that there are many characteristics that make it easy to apply AI-based learning methods.

Effects of MyData Service Attributes on Intention to Use (마이데이터 서비스 속성이 이용의도에 미치는 영향)

  • Kim, Soo-Hyun
    • The Journal of the Korea Contents Association
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    • v.22 no.10
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    • pp.271-278
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    • 2022
  • MyData service integrates and manages user's personal data such as finance, credit, etc, and is expected to provide useful information to the user as personal data in various fields are gradually integrated. Discovering factors that affect the intention to use of MyData service is a very important topic for understanding that service. To this end, in this study, the attributes of the MyData service were derived, and the derived service attributes were grouped together by using factor analysis. As a result, we found four factors such as "convenience", "usefulness", "security", and "control". After that, we established our research model to analyze the causal relationship between these four factors and the intention to use of MyData service. According to the analysis results, among the factors of the MyData service attribute, "convenience", "usefulness", and "control" had a significant effect, and "security" did not have a significant effect. In particular, it was confirmed that "control" had the greatest influence on the intention to use. This study suggests that MyData service provider need to make users recognize they are controlling their data and develop services that provide various benefits to users.

Text Data Analysis Model Based on Web Application (웹 애플리케이션 기반의 텍스트 데이터 분석 모델)

  • Jin, Go-Whan
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.785-792
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    • 2021
  • Since the Fourth Industrial Revolution, various changes have occurred in society as a whole due to advance in technologies such as artificial intelligence and big data. The amount of data that can be collect in the process of applying important technologies tends to increase rapidly. Especially in academia, existing generated literature data is analyzed in order to grasp research trends, and analysis of these literature organizes the research flow and organizes some research methodologies and themes, or by grasping the subjects that are currently being talked about in academia, we are making a lot of contributions to setting the direction of future research. However, it is difficult to access whether data collection is necessary for the analysis of document data without the expertise of ordinary programs. In this paper, propose a text mining-based topic modeling Web application model. Even if you lack specialized knowledge about data analysis methods through the proposed model, you can perform various tasks such as collecting, storing, and text-analyzing research papers, and researchers can analyze previous research and research trends. It is expect that the time and effort required for data analysis can be reduce order to understand.