• Title/Summary/Keyword: Communication system

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Study About the Capstone Design Education for the Growth of Local Design Industries - Based on the Exhibitional Project, 'Jeju Tamranun Idea' (지역디자인 산업발전을 위한 캡스톤 디자인교육 사례연구 - '제주 탐라는아이디어전'을 중심으로)

  • Kim, Jong-Min
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.653-662
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    • 2021
  • This is a thesis about the whole process of cooperative study for the project, 'Jeju Tamranun idea' which produced by Capstone Design Class in communication design Dept, Hongik University. The purpose of this thesis is to know the primary educational goal and essence of capstone design class and to find the enhancement plan for the local design industry. The exhibitional project, 'Jeju Tamranun idea' was operated three times by hongik university with the company based on Jeju from 2017 to 2019. After the research, There are three positive effects of this project which are the new social function of the discarded assignments, the improvement of educational standard through the autonomous competition, and the growth of students' social consciousness in the process of considering local industries. And there are several points to be reviewed for a better capstone design class with local design industries. It is necessary to utilize the untact system for solving distance issues. And also, absolute evaluations, giving equal reward, and copyright protection are needed. Lastly, the continuous development of the curriculum to improve local design industries is needed.

Factors Affecting the View of marriage and Intention to marriage of Female University Students (여대생의 결혼관 및 결혼의향에 영향을 미치는 요인: 경기지역 일부 여대생을 중심으로)

  • So, Mi-Hyun;Kang, Hyun-Sook
    • The Journal of Korean Society for School & Community Health Education
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    • v.22 no.2
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    • pp.53-64
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    • 2021
  • Objectives: The objective of this study is to understand the factors having effects on the view of marriage of female university students, and also to present the reference data for establishing the measures for having the positive view of marriage of female university students. Methods: An online survey was conducted targeting total 254 female university students of two universities in Gyeonggi region, from October 1 st to November 13th 2020. The results of this study are as follows. Results: First, to the question related to the intent to marry, total 70% of them responded that they had intent to marry. In the time of marriage, they said they would marry when getting financially stable. The 30% of subjects said that they would choose non-marriage because they wanted to continuously enjoy free life and they did not want to bear burden related to childbirth and child-rearing. Second, in the results of analyzing differences in the view of marriage according to the general characteristics, the students with intent to marry showed the higher romantic view of marriage, instrumental view of marriage, and exclusive view of marriage than the students without intent to marry, which showed significant differences. Third, the view of marriage were the factors having the greatest effects on the intent to marry of female university students. Conclusion: Based on such results of this study, it would be necessary to focus on the policies that could positively change the view of marriage of female university students. It would be needed to establish the social·institutional support measures for work-life balance by reducing women's burden of childbirth and child-rearing. To the question about the time of marriage, the most subjects responded that they would do so when the economic ability and stable job were equipped. Thus, there should be the systematic youth employment support system that could help the students to quickly and stably enter society and to become financially independent after graduation. Also, for the formation of positive family relation, it would be necessary to develop·operate the educational programs for forming positive family relation and desirable communication methods for each subject(spouse, parents, children, siblings, and etc.).

AHP Study on the Decision Making Factors of Farm-Returning and Rural-Returning: Focusing on the Determinants of Migration Area (귀농·귀촌 의사결정요인에 관한 AHP 분석 연구: 이주지역 선택 결정요인을 중심으로)

  • Lee, Won Suk;Jang, Sang-hyun;Choi, Joowon;Shin, Yongtae
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.3
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    • pp.81-92
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    • 2021
  • As the aging population of Korean agriculture and rural areas and the decline of the agricultural population are gradually deepening, the influx of population through returning to farming and rural areas is urgently needed. To this end, the most important problems to be solved were the lack of information that would help those who want to return to farming or rural areas when making decisions. Therefore, a survey was conducted for AHP analysis on related experts to find out the information (decision factors) required when selecting a return-to-farm or return-to-country migration area through this study. The AHP analysis showed that "Economic factors" were the most important among the three items in the primary class, while "Housing and land prices", "Metropolitan accessibility and traffic" and "Residential information" were the most important in the secondary class. The results of these studies are reflected in the information system to systematically support the decision-making of those who wish to return to farming or rural areas.It is hoped that it will be indirectly helpful and ultimately contribute to the revitalization and development of Korean agriculture and rural areas, which are aging.

Fat Client-Based Abstraction Model of Unstructured Data for Context-Aware Service in Edge Computing Environment (에지 컴퓨팅 환경에서의 상황인지 서비스를 위한 팻 클라이언트 기반 비정형 데이터 추상화 방법)

  • Kim, Do Hyung;Mun, Jong Hyeok;Park, Yoo Sang;Choi, Jong Sun;Choi, Jae Young
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.3
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    • pp.59-70
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    • 2021
  • With the recent advancements in the Internet of Things, context-aware system that provides customized services become important to consider. The existing context-aware systems analyze data generated around the user and abstract the context information that expresses the state of situations. However, these datasets is mostly unstructured and have difficulty in processing with simple approaches. Therefore, providing context-aware services using the datasets should be managed in simplified method. One of examples that should be considered as the unstructured datasets is a deep learning application. Processes in deep learning applications have a strong coupling in a way of abstracting dataset from the acquisition to analysis phases, it has less flexible when the target analysis model or applications are modified in functional scalability. Therefore, an abstraction model that separates the phases and process the unstructured dataset for analysis is proposed. The proposed abstraction utilizes a description name Analysis Model Description Language(AMDL) to deploy the analysis phases by each fat client is a specifically designed instance for resource-oriented tasks in edge computing environments how to handle different analysis applications and its factors using the AMDL and Fat client profiles. The experiment shows functional scalability through examples of AMDL and Fat client profiles targeting a vehicle image recognition model for vehicle access control notification service, and conducts process-by-process monitoring for collection-preprocessing-analysis of unstructured data.

A study on the Effect of Big Data Quality on Corporate Management Performance (빅데이터 품질이 기업의 경영성과에 미치는 영향에 관한 연구)

  • Lee, Choong-Hyong;Kim, YoungJun
    • Journal of the Korea Convergence Society
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    • v.12 no.8
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    • pp.245-256
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    • 2021
  • The Fourth Industrial Revolution brought the quantitative value of data across the industry and entered the era of 'Big Data'. This is due to both the rapid development of information & communication technology and the diversity & complexity of customer purchasing tendencies. An enterprise's core competence in the Big Data Era is to analyze and utilize the data to make strategic decisions for enterprise. However, most of traditional studies on Big Data have focused on technical issues and future potential values. In addition, these studies lacked interest in managing the quality and utilization levels of internal & external customer Big Data held by the entity. To overcome these shortages, this study attempted to derive influential factors by recognizing the quality management information systems and quality management of the internal & external Big Data. First of all, we conducted a survey of 204 executives & employees to determine whether Big Data quality management, Big Data utilization, and level management have a significant impact on corporate work efficiency & corporate management performance. For the study for this purpose, hypotheses were established, and their verifications were carried out. As a result of these studies, we found that the reasons that significantly affect corporate management performance are support from the management class, individual innovation, changes in the management environment, Big Data quality utilization metrics, and Big Data governance system.

ESG Management, Strategies for corporate sustainable growth : KT's company-wide goals and strategies (ESG 경영, 기업의 지속가능성장을 위한 전략 : KT의 전사적 목표와 전략)

  • Kang, Yoon Ji;Kim, Sanghoon
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.233-244
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    • 2022
  • One of the most noteworthy topics in recent corporate management is ESG(Environmental, Social, Governance). Although there are many companies that have declared ESG management, KT has declared full-fledged ESG management in 2021 and is sharing its sustainable management strategy with stakeholders. In addition, KT is strengthening ESG management by issuing ESG bonds for the first time in the domestic ICT industry. At a time when the information technology industry became more important due to COVID-19, this study attempted to examine KT's ESG management goals and strategies by dividing them into environmental, social, and governance areas. KT was aiming to achieve environmental integrity through 'environmental management', 'green competence', 'energy resources', and 'eco-friendly projects' in the environmental field. In addition, in the social field, genuine creating social value was pursued through 'social contribution', 'co-growth', and 'human rights management'. Finally, in the governance area, it was aiming for a transparent corporate management system to pursue economic reliability through 'ethics and compliance' and 'risk management'. In particular, KT was promoting its own ESG management by promoting strategies to solve environmental and social problems using AI and BigData technologies based on the characteristics of a digital platform company. This study aims to derive implications for ESG strategy establishment and ESG management development direction through KT's ESG management case in relation to ESG management, which has emerged as a hot topic.

Design of an Visitor Identification system for the Front Door of an Apartment using Deep learning (딥러닝 기반 이용한 공동주택현관문의 출입자 식별 시스템 설계)

  • Lee, Min-Hye;Mun, Hyung-Jin
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.45-51
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    • 2022
  • Fear of contact exists due to the prevention of the spread of infectious diseases such as COVID-19. When using the common entrance door of an apartment, access is possible only if the resident enters a password or obtains the resident's permission. There is the inconvenience of having to manually enter the number and password for the common entrance door to enter. Also, contactless entry is required due to COVID-19. Due to the development of ICT, users can be easily identified through the development of face recognition and voice recognition technology. The proposed method detects a visitor's face through a CCTV or camera attached to the common entrance door, recognizes the face, and identifies it as a registered resident. Then, based on the registered information of the resident, it is possible to operate without contact by interworking with the elevator on the server. In particular, if face recognition fails with a hat or mask, the visitor is identified by voice or additional authentication of the visitor is performed based on the voice message. It is possible to block the spread of contagiousness without leaving any contactless function and fingerprint information when entering and exiting the front door of an apartment house, and without the inconvenience of access.

A Study on the Risk Analysis and Fail-safe Verification of Autonomous Vehicles Using V2X Based on Intersection Scenarios (교차로 시나리오 기반 V2X를 활용한 자율주행차량의 위험성 분석 및 고장안전성 검증 연구)

  • Baek, Yunseok;Shin, Seong-Geun;Park, Jong-ki;Lee, Hyuck-Kee;Eom, Sung-wook;Cho, Seong-woo;Shin, Jae-kon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.6
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    • pp.299-312
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    • 2021
  • Autonomous vehicles using V2X can drive safely information on areas outside the sensor coverage of autonomous vehicles conventional autonomous vehicles. As V2X technology has emerged as a key component of autonomous vehicles, research on V2X security is actively underway research on risk analysis due to failure of V2X communication is insufficient. In this paper, the service scenario and function of autonomous driving system V2X were derived by presenting the intersection scenario of the autonomous vehicle, the malfunction was defined by analyzing the hazard of V2X. he ISO26262 Part3 process was used to analyze the risk of malfunction of autonomous vehicle V2X. In addition, a fault injection scenario was presented to verify the fail-safe of the simulation-based intersection scenario.

A Study on Research Data Creation and Management by Researchers in Mechanical Engineering (기계공학분야 연구자들의 연구데이터 생산과 관리에 관한 연구)

  • Park, Yunmi;Kim, Jihyun
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.4
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    • pp.137-162
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    • 2021
  • This study aimed to examine the perception and experience of researchers in the field of mechanical engineering on research data creation and management, and suggest implications for research data management and services in the field. Research data management and services of domestic and foreign research institutes were investigated, and in-depth interviews were conducted with researchers belonging to domestic mechanical engineering research institutes to analyze the perception and conduction of research data creation and management according to four major categories: "research data, accountable conducting of research and compliance with research ethics, utility and effectiveness of research data management, and the value of sharing research data." To ensure effective research data management and services in mechanical engineering, it is necessary to conduct a data investigation on the process, type, and form of production to collect explicit metadata and implicit contextual information. It is also necessary to propose a plan to recognize research results using the publication of data journals and to prepare infrastructure such as a cloud-based system that supports safe data management and communication between researchers. In addition, it suggests that it is important for various officials in the research field to allocate roles and responsibilities for research data management and services at the organizational level.

IoT-Based Device Utilization Technology for Big Data Collection in Foundry (주물공장의 빅데이터 수집을 위한 IoT 기반 디바이스 활용 기술)

  • Kim, Moon-Jo;Kim, DongEung
    • Journal of Korea Foundry Society
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    • v.41 no.6
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    • pp.550-557
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    • 2021
  • With the advent of the fourth industrial revolution, the interest in the internet of things (IoT) in manufacturing is growing, even at foundries. There are several types of process data that can be automatically collected at a foundry, but considerable amounts of process data are still managed based on handwriting for reasons such as the limited functions of outdated production facilities and process design based on operator know-how. In particular, despite recognizing the importance of converting process data into big data, many companies have difficulty adopting these steps willingly due to the burden of system construction costs. In this study, the field applicability of IoT-based devices was examined by manufacturing devices and applying them directly to the site of a centrifugal foundry. For the centrifugal casting process, the temperature and humidity of the working site, the molten metal temperature, and mold rotation speed were selected as process parameters to be collected. The sensors were selected in consideration of the detailed product specifications and cost required for each process parameter, and the circuit was configured using a NodeMCU board capable of wireless communication for IoT-based devices. After designing the circuit, PCB boards were prepared for each parameter, and each device was installed on site considering the working environment. After the on-site installation process, it was confirmed that the level of satisfaction with the safety of the workers and the efficiency of process management increased. Also, it is expected that it will be possible to link process data and quality data in the future, if process parameters are continuously collected. The IoT-based device designed in this study has adequate reliability at a low cast, meaning that the application of this technique can be considered as a cornerstone of data collecting at foundries.