• Title/Summary/Keyword: 자율형

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Research on the Semiotic Analysis of Father Characters' Paternity in Korean Films (한국 영화에 나타난 아버지 캐릭터의 부성성에 대한 기호학적 연구)

  • Lee, Timothy Yoon-Suk;Kim, Seul-Ki
    • The Journal of the Korea Contents Association
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    • v.11 no.2
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    • pp.215-228
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    • 2011
  • In the history, 'father' has been described as a being who not only take care of the family but also represents the family socially and supports them. Like the Western patriarchal tradition prevalent in the 19th century, fathers in Korean society also bear patriarchal paternity based on Korean traditional Confucian culture. In such a unique family culture of Korea, Korean fathers hold the patriarchal male centered idea and regard it as the roles of man and father to be responsible for the family's living and safety and to be more rational than emotional and more blunt than gentle. Social ideology for this image of father is expressed in media, and an example is the patriarchal image of father in TV dramas and movies. In order to analyze the image of Korean fathers described in films, this study selected two films and examined the semiological meanings of fathers' roles expressed in the films using Metz's syntagmatic and paradigmatic analysis method. The films chosen for case study are 'Fly Daddy', 'The Show Must Go On', and 'Speed Scandal'. These films are good examples demonstrating that Korean patriarchal paternity and its background traditional ideology are projected on media.

Layered Visibility Graph With Convex Hull to Avoid the Complex Terrain for UAV (무인기의 복잡한 지형 회피를 위한 Convex Hull 기반의 계층형 Visibility Graph)

  • Lim, Daehee;Park, Jihoon;Min, Chanoh;Jang, Hwanchol;Lee, Daewoo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.47 no.12
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    • pp.874-880
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    • 2019
  • This paper introduces a method which can be effectively used for the path planning of UAV in a realistic map which has mountainous terrains, air defense networks and radars based on the Visibility Graph. Existing studies of Visibility Graph have been studied mainly for simple shape obstacles in 2-dimensional environment such as self-driving cars which avoid buildings. However, for UAV, Visibility Graph must be used in 3-dimensional environment for the variance of altitude. This occurs significant elapsed time increase because of the increase of the amount of the visibility of node sets. To solve this problem, this paper decrease the number of nodes which consists the complex terrain environments using convex hull based on Layered Visibility Graph. With convex hull method, this paper confirmed that the elapsed time is decreased about 99.5% compared to the case which has no decrease of the number of nodes.

Probe Vehicle Data Collecting Intervals for Completeness of Link-based Space Mean Speed Estimation (링크 공간평균속도 신뢰성 확보를 위한 프로브 차량 데이터 적정 수집주기 산정 연구)

  • Oh, Chang-hwan;Won, Minsu;Song, Tai-jin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.5
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    • pp.70-81
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    • 2020
  • Point-by-point data, which is abundantly collected by vehicles with embedded GPS (Global Positioning System), generate useful information. These data facilitate decisions by transportation jurisdictions, and private vendors can monitor and investigate micro-scale driver behavior, traffic flow, and roadway movements. The information is applied to develop app-based route guidance and business models. Of these, speed data play a vital role in developing key parameters and applying agent-based information and services. Nevertheless, link speed values require different levels of physical storage and fidelity, depending on both collecting and reporting intervals. Given these circumstances, this study aimed to establish an appropriate collection interval to efficiently utilize Space Mean Speed information by vehicles with embedded GPS. We conducted a comparison of Probe-vehicle data and Image-based vehicle data to understand PE(Percentage Error). According to the study results, the PE of the Probe-vehicle data showed a 95% confidence level within an 8-second interval, which was chosen as the appropriate collection interval for Probe-vehicle data. It is our hope that the developed guidelines facilitate C-ITS, and autonomous driving service providers will use more reliable Space Mean Speed data to develop better related C-ITS and autonomous driving services.

An Exploratory Study for the Direction and Tasks for Innovating School System in the Intelligent Information Society (지능정보사회에서 학교교육체제 혁신 방향과 과제 탐색을 위한 시론적 연구)

  • Jang, Deok-Ho
    • Journal of Digital Convergence
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    • v.15 no.12
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    • pp.127-136
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    • 2017
  • The purpose of this study is to explore some directions and alternatives for reforming the school education system, which is one of the core policy agendas of the Korean society that has met the upcoming 4th industrial revolution era and intelligence information society. Korean school education is a supplier-oriented system that does not take into consideration student's individual needs and aptitudes, and maintains uniform educational and learning practices while strengthening the characteristics of factory school model of the early 20th century. Especially, according to the excessive follow-up of the college entrance examination of the people the de-contextualization of knowledge and the instrumentation and learning of the education has been deepened. For the reform of the education system, first, it should transform the curriculum delegation system from the current administrative to teacher-based system. Second, we need to dismantle the bureaucratic corps of teacher that erodes the autonomy of the teacher and should establish the professional teacher system. Third, we should overcome egoism of each curriculum territory and reform the teacher education system. Fourth, it is necessary to overhaul the system of education and administrative bureaucracy as well as to overhaul the system of educational law. Fifth, it is necessary for the school administration to provide more effective communication between learners and teachers.

재미한인 영재 청소년의 민족적 정체감 형성 연구

  • 류지영
    • Proceedings of the Korean Society for the Gifted Conference
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    • 2004.11a
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    • pp.125-148
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    • 2004
  • 본 연구는 우수한 학업 성적을 보이는 재미 한인 영재 청소년들이 민족적 정체감을 어떻게 형성해 나가는지를 알아보는데 그 목적이 있다. 이를 위해 미국 뉴욕의 학업영재아를 위한 고등학교에 재학중인 25명의 한인 영재아들을 대상으로 Phinney의 민족적 정체감 평가지가 사용되었다. 민족적 정체감의 평가를 위해 3가지의 민족 정체감 구성요인들이 사용되었는데, 이들은 민족적 자기 정의, 민족집단에 대한 평가와 민족집단에 대한 참여이다. 개방형 문제에 응답을 한 학생들은 두 명의 독립적인 관찰자에 의해, 자신이 정의한 민족집단에 대한 탐구와 헌신의 정도에 따라, 3단계의 민족 정체감 발달 단계로 나누어졌다. 이 3단계 중 첫번째 단계는 자신이 속한 민족집단에 대한 무관심과 낮은 참여도를 보이는 민족 정체감 무관심의 시기이고, 두 번째 단계는 자신의 민족집단에 대한 관심을 가지고 그 집단의 역사와 철학, 문화, 그리고 주류사회 속에서 해당 민족집단의 사회적 위치와 편견 등에 대해 관심과 참여를 보여주는 민족 정체감 탐구의 시기이며, 마지막 단계는 민족 정체감 완성 시기로, 자신을 그 집단의 구성원으로 완전히 수용하면서, 민족적 정체감에 안정된 모습을 보이는 단계이다. 각 민족 정체감 구성요소들과 민족 정체감 발달 단계내의 집단차를 논의하기 위해 ANOVA가 사용되었다. 연구에 참여한 대부분의 영채아들은 자신을 재미아시아인이 아니라, 한국인 혹은 재미동포로 정의하였고, 이러한 민족적 자기 정의는 학생들의 민족집단에 대한 평가도와 참여도에 중요한 역할을 한다는 것을 알 수 있었다. 또한 민족집단에 대한 긍정적인 평가는 민족집단에 대한 활발한 참여와 밀접한 관련성을 가지고 있었다. 연구에서 나타난 결과들을 바탕으로 재미 한인 영재 청소년들이 높은 자아 존중감을 지닐 수 있도록, 현재 교육현장과 실생활에서 활용할 수 있는 여러 방안들과 함께, 앞으로 필요한 보다 많은 연구를 위한 제언이 제시되었다. 사고력 계발에 보다 충실할 수 있도록 내용의 폭을 넓히고 접근방법을 달리하는 심화 중심으로 교육과정을 구성하고 운영한다고 하였다. 그러나 현재 개발된 교육과정 편성과 운영은 창의성 교육의 구현보다는 압축형 속진 교육과정의 특성이 강하여, 이와 같은 운영지침을 실현하기 어려운 것이 현실이므로 교육과정 편제의 개선이나 운영지침에 적합한 교육내용의 개발이 시급히 이루어져야 할 것이다. 둘째, R&E(Research & Education)는‘연구를 통한 교육’,‘교육을 통한 연구’를 의미하며 과학영재교육과정의 가장 큰 특징이라 할 수 있는 자율연구와 위탁교육을 위한 프로그램이다.여주는 것으로 나타났다.보였다. 5. L값은 살균처리의 경우 저장 30일 이후 약간 어두워지는 경향을 보였고, 121$^{\circ}C$ 살균처리에서 높은 값을 보였다. 대체로 저장온도가 높고 저장기간이 길어질수록 약간 밝아지는 경향을 보였다. 적색도는 인삼 첨가구의 경우 상온 및 냉장저장에서 10$0^{\circ}C$ 살균이 121$^{\circ}C$ 처리구 보다 약간 높은 값을 보였다. 저장기간에 따른 적색도의 변화는 인삼과 송이 첨가구에서 비교적 안정적이었다. 황색도는 상온 및 냉장저장에서 저장기간에 따라 약간 감소하는 경향을 보인 후 상온저장 50일 째, 냉장 60일 째 가장 높게 나타났다. 121$^{\circ}C$ 살균처리구가 10$0^{\circ}C$ 처리구보다 약간 높은 경향을 보였다.^{\circ}C$$,에서는 20시간 가열시 0.706$\mu\textrm{g}$/kg으로 가장 높게 생성된 후 서서히 감소하였다. 그러나 산값과 공액이중산값은 계속 증가하는 양상을 나타냈다. 즉 B(a)P생성과 산패도 변화사이에는 일정한 관계를 나타내지는 않았다.ve(+)의 상관관계가 있었다.l

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Policy and Strategy for Intelligence Information Education and Technology (지능정보 교육과 기술 지원 정책 및 전략)

  • Lee, Tae-Gyu;Jung, Dae-Chul;Kim, Yong-Kab
    • KIPS Transactions on Computer and Communication Systems
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    • v.6 no.8
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    • pp.359-368
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    • 2017
  • What is the term "intelligence information society", which is a term that has been continuously discussed recently? This means that the automation beyond the limits of human ability in the whole societies based on intelligent information technology is a universalized social future. In particular, it is a concept that minimizes human intervention and continuously pursues evolution to data (or big data) -based automation. For example, autonomous automation is constantly aiming at unmanned vehicles with artificial intelligence as a key element. However, until now, intelligent information research has focused on the intelligence itself and has made an effort to improve intelligence logic and replace human brain and intelligence. On the other hand, in order to replace the human labor force, we have continued to make efforts to replace workers with robots by analyzing the working principles of workers and developing optimized simple logic. This study proposes important strategies and directions to implement intelligent information education policy and intelligent information technology research strategy by suggesting access strategy, education method and detailed policy road map for intelligent information technology research strategy and educational service. In particular, we propose a phased approach to intelligent information education such as basic intelligence education, intelligent content education, and intelligent application education. In addition, we propose education policy plan for the improvement of intelligent information technology, intelligent education contents, and intelligent education system as an important factor for success and failure of the 4th industrial revolution, which is centered on intelligence and automation.

A Study on Causes of Franchisee's Conflict in Distribution Channel of small and middle sized Franchise Industry (중소형 프랜차이즈 유통시스템에서 가맹점의 갈등에 관한 질적 연구 - 토대이론 접근법을 활용하여-)

  • Jeon, Ta-sik
    • Journal of Distribution Science
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    • v.4 no.2
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    • pp.21-40
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    • 2006
  • Small and middle sized Franchise system channels experience conflicts because of constant interaction between franchiser and franchisee. However, it is rarely that attempt has been made to identify causes of conflicts in distribution of franchise industry. The purpose of this study was to explore cause of conflicts from the franchisee. For the study, data were collected from the owner or the shop-manager with a contractor in franchise systems. By means of in-depth interviews with multiple informants, their statement was analyzed qualitatively. From analysis of the resulting data, the causes of conflicts were associated with two broad sets, attitudinal and structural differences between franchisers and franchisees. First, attitudinal sources of conflict were identified as perception of subordinated relationships between channel members, delayed announcement on order changes, difficulties in communication by doing irresponsible behavior, different expectations between channel members in market territory and lack of consistent-supporting. Second, structural sources of conflict involved unilateral decision on interior, payment method, unreasonable delivery issue, treat franchisee with discrimination by the sales, in controlling against free management. There are limitations on generalization due to the results based on interview, but this study will be a useful exploratory step before designing a large scale survey.

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The effect of the convergent operation of learning coaching and reward system on learning community students' academic self-efficacy and learning outcome (학습코칭과 보상시스템의 융합적 운영이 학습공동체 참여 대학생들의 학업적 자기효능감과 학습성과에 미치는 효과)

  • Choi, Kyung-Mi;Jang, Kee-Duck
    • Journal of the Korea Convergence Society
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    • v.10 no.7
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    • pp.39-45
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    • 2019
  • The aim of this research is to find out how convergent operation of the learning coaching and compensation system affects the academic self-efficiency and learning performance of university students. In the second semester, a compensation system was prepared based on learning coaching and learning outcomes, made a notice in advance, and conducted a survey before and after operation to measure the academic self-efficacy. In addition, the MLST-II Learning Strategy Diagnosis Examination was conducted on G university students to diagnose the learning tendency. As a result, although G University students felt a reluctance by coaching the learning community and expected negative results during the course of participation in the learning community due to low motivation and low expectation of results, they showed a significant improvement in academic self-efficiency and learning outcomes. Therefore, even students with negative learning tendency will need to consider how to operate these programs in the educational field, as the expert's learning coaching and compensation systems produce positive results for students' academic self-efficiency and learning outcomes rather than leaving them to autonomy.

Implementation of Responsive Web-based Vessel Auxiliary Equipment and Pipe Condition Diagnosis Monitoring System (반응형 웹 기반 선박 보조기기 및 배관 상태 진단 모니터링 시스템 구현)

  • Sun-Ho, Park;Woo-Geun, Choi;Kyung-Yeol, Choi;Sang-Hyuk, Kwon
    • Journal of Navigation and Port Research
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    • v.46 no.6
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    • pp.562-569
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    • 2022
  • The alarm monitoring technology applied to existing operating ships manages data items such as temperature and pressure with AMS (Alarm Monitoring System) and provides an alarm to the crew should these sensing data exceed the normal level range. In addition, the maintenance of existing ships follows the Planned Maintenance System (PMS). whereby the sensing data measured from the equipment is monitored and if it surpasses the set range, maintenance is performed through an alarm, or the corresponding part is replaced in advance after being used for a certain period of time regardless of whether the target device has a malfunction or not. To secure the reliability and operational safety of ship engine operation, it is necessary to enable advanced diagnosis and prediction based on real-time condition monitoring data. To do so, comprehensive measurement of actual ship data, creation of a database, and implementation of a condition diagnosis monitoring system for condition-based predictive maintenance of auxiliary equipment and piping must take place. Furthermore, the system should enable management of auxiliary equipment and piping status information based on a responsive web, and be optimized for screen and resolution so that it can be accessed and used by various mobile devices such as smartphones as well as for viewing on a PC on board. This update cost is low, and the management method is easy. In this paper, we propose CBM (Condition Based Management) technology, for autonomous ships. This core technology is used to identify abnormal phenomena through state diagnosis and monitoring of pumps and purifiers among ship auxiliary equipment, and seawater and steam pipes among pipes. It is intended to provide performance diagnosis and failure prediction of ship auxiliary equipment and piping for convergence analysis, and to support preventive maintenance decision-making.

Development of smart car intelligent wheel hub bearing embedded system using predictive diagnosis algorithm

  • Sam-Taek Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.1-8
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    • 2023
  • If there is a defect in the wheel bearing, which is a major part of the car, it can cause problems such as traffic accidents. In order to solve this problem, big data is collected and monitoring is conducted to provide early information on the presence or absence of wheel bearing failure and type of failure through predictive diagnosis and management technology. System development is needed. In this paper, to implement such an intelligent wheel hub bearing maintenance system, we develop an embedded system equipped with sensors for monitoring reliability and soundness and algorithms for predictive diagnosis. The algorithm used acquires vibration signals from acceleration sensors installed in wheel bearings and can predict and diagnose failures through big data technology through signal processing techniques, fault frequency analysis, and health characteristic parameter definition. The implemented algorithm applies a stable signal extraction algorithm that can minimize vibration frequency components and maximize vibration components occurring in wheel bearings. In noise removal using a filter, an artificial intelligence-based soundness extraction algorithm is applied, and FFT is applied. The fault frequency was analyzed and the fault was diagnosed by extracting fault characteristic factors. The performance target of this system was over 12,800 ODR, and the target was met through test results.