• 제목/요약/키워드: IT-based Society

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초등학생용 웹기반 음주예방교육 프로그램 개발 및 효과 (The Development and Effect of Web-based Alcohol Preventive Education Program for Elementary School Students)

  • 김영미;정문희
    • 보건교육건강증진학회지
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    • 제22권4호
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    • pp.17-40
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    • 2005
  • Objective: The purpose of the this study was to test the effect of the alcohol preventive educational program for elementary school students through developing the web-based learning instruments. It will prevent the serious alcohol problem for adolescents and be the opening-learning according to learner's needs beyond the traditional classroom learning which has limitation of space and time. Method: This research designed based on web-based instructional system design by In-sung Jong(1997). This study was performed on the elementary school students who are the six grade in M city. The number of experimental group was 72 and control group's number was 72, totaled 144. Data were collected from September, 30th, 2004 to November, 5th, 2004, totaled 37days. The pretest and the posttest for web-based alcohol preventive education program were tested about knowledge and attitudes toward drinking. After the performance, the posttest was also tested the effect of this program under items by the interest of web-based learning, satisfaction, adequateness of material and so on. The data analysis was done using SPSS/Win 11.0 program. Result: The results of this study are as follows: 1) Compared with control group, experimental group which was educated the web-based alcohol preventive educational program for elementary school students was improved the knowledge on drinking, thin there was no significant difference. However, it showed significant difference between two groups after education. It was, therefore, partially supported. 2) Compared with control group, the experimental group which was educated the web-based alcohol preventive educational program for elementary school students showed significant difference in attitudes toward drinking. After education, it showed no significant difference attitudes. toward drinking between experimental group and control group. It was, therefore, partially supported. 3) The degree of learning motivation was an average.595 of 1 after learning applied to by the web-based alcohol preventive educational program for elementary school students. Then, it is relatively more higher than the result of existing studies. So, it showed that the motivation was done well. 4) Correlation among study variables It showed that there was the significantly positive correlation between knowledge and attitudes toward drinking of pretest experimental group. Also, there was the significantly positive correlation between attitudes toward drinking and learning motivation of pretest and posttest experimental group. Conclusion: I found that the web-based educational program helps the elarning process for the health education in the school field which the instructional materials lack. As a result, the web-based education motivates the learner's pleasure and promotes the learners interest. Also, it is possible for students to learn according to their own learning pace, repeated learning and active learning participation in the necessary parts. Therefore, I think the web-based educational program is worth as a intervention to get positive influence for the health education.

고체 전기활성 고분자 기반 가변 렌즈의 연구동향 (A Review: All Solid-state Electroactive Polymer-based Tunable Lens)

  • 신은재;고현우;김상연
    • 로봇학회논문지
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    • 제16권1호
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    • pp.41-48
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    • 2021
  • In this paper, we review papers which report to the all solid-state electroactive polymer-based tunable lens. Since electroactive polymer-based tunable lenses change their focal length by responding to electric stimuli, it can be minimized the size and weight of optical modules. Thus, it has been received attention in the robot, mobile device and display industry. The all solid-state electroactive polymer-based tunable lenses can be classified into two categories depending on the classification of materials: ionic electroactive polymer-based lenses and non-ionic electroactive polymer-based lenses. Most of the ionic electroactive polymer-based tunable lenses are fabricated with ionic polymer-metal composite. So, the ionic electroactive polymer-based tunable lenses can be operated under low electric voltage. But small force, slow recovery time and environmental limitation for operation has been pointed to the disadvantage of the lenses. The non-ionic electroactive polymer-based tunable lenses are classified again into two categories: dielectric polymer-based tunable lenses and polyvinylchloride gel-based tunable lenses. The advantage of the dielectric polymer-based tunable lenses is fast response to electric stimuli. But the essential flexible electrodes degrade performance of the lens. Polyvinylchloride gel-based tunable lens has reported impressive performance without flexible electrodes.

지속가능발전 이해를 위한 프로젝트 학습의 개념과 의미 - 예비교사의 에코캠퍼스 만들기 프로젝트 경험을 중심으로- (The Concept and the Meaning of Project-Based Learning for Sustainable Development)

  • 남영숙;지승현
    • 한국환경교육학회지:환경교육
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    • 제24권2호
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    • pp.21-34
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    • 2011
  • Recently, project activity on environmental education has been overwhelmingly presented that is considered as a key learning & teaching strategy in Korea. This Study finds that Environmental project activity requires consideration of project-based Learning for sustainable development. The purpose of this study is to conduct project-based learning for eco-campus which is focused on sustainable development and to find out the learner's understanding sustainable development. The results of this study can be summarized as follows. First, project-based learning for sustainable development is concerned about enhancing learner's understanding sustainable development. It can be emphasized a viewpoint of sustainable way, a way of educational approach, and a possibility of expanding learner's experience in dealing with sustainable development. Second, this study showed also a results of application about project-based learning for eco-campus. Twenty three pre-service teachers conducted six different eco-campus projects. It is considered to make the student be able to catch up core knowledge and apply it during the project activity. In conclusion, this research asserts that project-based learning on sustainable development is needed to make students see the knowledge and value of sustainable development. It is considered to advance education for sustainable development as a new teaching & learning strategy.

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자바 프로그래밍 교육에서 웹 기반 강의와 면대면 강의의 학습 효과 비교 분석 연구 (A Study on the Comparison and Analysis of Learning Effects of Web-based and Traditional Lecture in Java Programming Education)

  • 이충기
    • 공학교육연구
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    • 제4권2호
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    • pp.3-10
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    • 2001
  • 최근에 인터넷과 웹의 이용이 보편화됨에 따라 이를 교육에도 활용하고자 하는 많은 노력이 이루어지고 있다. 웹을 이용한 웹 기반 강의의 장점은 언제 어디서나 저렴한 비용으로 교육받을 수 있다는 것이다. 따라서 웹 기반 강의의 전망은 매우 밝고 잠재 고객들도 매우 많다고 볼 수 있다. 웹 기반의 자바 프로그래밍 교육 수요도 늘어나고 있다. 본 논문은 자바 프로그래밍 과목을 웹 기반 강의와 면 대 면 강의로 운영한 후 학습 효과를 통계적 추론을 사용하여 비교 분석한다. 이러한 분석 결과를 통하여 웹 기반 강의가 면 대 면 강의에 비해 효과적이지 못하다고 결론짓는다. 또한 자바 프로그래밍 교육에서 웹 기반 강의의 취약점을 파악하고 웹 기반 강의를 질적으로 개선하기 위한 방안을 제안한다.

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Simple Online Multiple Human Tracking based on LK Feature Tracker and Detection for Embedded Surveillance

  • Vu, Quang Dao;Nguyen, Thanh Binh;Chung, Sun-Tae
    • 한국멀티미디어학회논문지
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    • 제20권6호
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    • pp.893-910
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    • 2017
  • In this paper, we propose a simple online multiple object (human) tracking method, LKDeep (Lucas-Kanade feature and Detection based Simple Online Multiple Object Tracker), which can run in fast online enough on CPU core only with acceptable tracking performance for embedded surveillance purpose. The proposed LKDeep is a pragmatic hybrid approach which tracks multiple objects (humans) mainly based on LK features but is compensated by detection on periodic times or on necessity times. Compared to other state-of-the-art multiple object tracking methods based on 'Tracking-By-Detection (TBD)' approach, the proposed LKDeep is faster since it does not have to detect object on every frame and it utilizes simple association rule, but it shows a good object tracking performance. Through experiments in comparison with other multiple object tracking (MOT) methods using the public DPM detector among online state-of-the-art MOT methods reported in MOT challenge [1], it is shown that the proposed simple online MOT method, LKDeep runs faster but with good tracking performance for surveillance purpose. It is further observed through single object tracking (SOT) visual tracker benchmark experiment [2] that LKDeep with an optimized deep learning detector can run in online fast with comparable tracking performance to other state-of-the-art SOT methods.

모바일 IP 네트워크를 위한 액티브 라우팅 매커니즘 (Active Routing Mechanism for Mobile IP Network)

  • Soo-Hyun Park;Hani Jang;Lee-Sub Lee;Doo-Kwon Baik
    • 한국시뮬레이션학회논문지
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    • 제12권3호
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    • pp.55-68
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    • 2003
  • As mobile IP has been suggested only to support mobility of mobile station(MS) by which it dose nothing but guarantee MS's new connection to the network, it is for nothing in Quality of Service(QoS) after handoff of MS. QoS is very important factor in mobile IP network to provide multimedia applications and real-time services in mobile environment, and it is closely related to handoff delay Therefore as a main issue in mobile IP research area, handoff delay problem is actively studied to guarantee and promote QoS. In this paper, in order to resolve such a problem, we suggest Simple Network Management Network(SNMP) information-based routing that adds keyword management method to information-based routing in active network, and then propose QoS controlled handoff by SNMP information-based routing. After setting up routing convergence time, modeling of suggested method and existing handoff method is followed in order to evaluate the simulations that are carried out with NS-2. The result of simulation show the improvement of handoff delay, and consequently it turns off the QoS has been improved considerably.

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딥러닝 학습을 이용한 한글 글꼴 자동 제작 시스템에서 글자 쌍의 매핑 기준 평가 (Evaluation of Criteria for Mapping Characters Using an Automated Hangul Font Generation System based on Deep Learning)

  • 전자연;지영서;박동연;임순범
    • 한국멀티미디어학회논문지
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    • 제23권7호
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    • pp.850-861
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    • 2020
  • Hangul is a language that is composed of initial, medial, and final syllables. It has 11,172 characters. For this reason, the current method of designing all the characters by hand is very expensive and time-consuming. In order to solve the problem, this paper proposes an automatic Hangul font generation system and evaluates the standards for mapping Hangul characters to produce an effective automated Hangul font generation system. The system was implemented using character generation engine based on deep learning CycleGAN. In order to evaluate the criteria when mapping characters in pairs, each criterion was designed based on Hangul structure and character shape, and the quality of the generated characters was evaluated. As a result of the evaluation, the standards designed based on the Hangul structure did not affect the quality of the automated Hangul font generation system. On the other hand, when tried with similar characters, the standards made based on the shape of Hangul characters produced better quality characters than when tried with less similar characters. As a result, it is better to generate automated Hangul font by designing a learning method based on mapping characters in pairs that have similar character shapes.

빅데이터 분석 기반의 오피니언 마이닝을 이용한 정보화 사업 평가 분석 (An Analysis of IT Proposal Evaluation Results using Big Data-based Opinion Mining)

  • 김홍삼;김종수
    • 산업경영시스템학회지
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    • 제41권1호
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    • pp.1-10
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    • 2018
  • Current evaluation practices for IT projects suffer from several problems, which include the difficulty of self-explanation for the evaluation results and the improperly scaled scoring system. This study aims to develop a methodology of opinion mining to extract key factors for the causal relationship analysis and to assess the feasibility of quantifying evaluation scores from text comments using opinion mining based on big data analysis. The research has been performed on the domain of publicly procured IT proposal evaluations, which are managed by the National Procurement Service. Around 10,000 sets of comments and evaluation scores have been gathered, most of which are in the form of digital data but some in paper documents. Thus, more refined form of text has been prepared using various tools. From them, keywords for factors and polarity indicators have been extracted, and experts on this domain have selected some of them as the key factors and indicators. Also, those keywords have been grouped into into dimensions. Causal relationship between keyword or dimension factors and evaluation scores were analyzed based on the two research models-a keyword-based model and a dimension-based model, using the correlation analysis and the regression analysis. The results show that keyword factors such as planning, strategy, technology and PM mostly affects the evaluation result and that the keywords are more appropriate forms of factors for causal relationship analysis than the dimensions. Also, it can be asserted from the analysis that evaluation scores can be composed or calculated from the unstructured text comments using opinion mining, when a comprehensive dictionary of polarity for Korean language can be provided. This study may contribute to the area of big data-based evaluation methodology and opinion mining for IT proposal evaluation, leading to a more reliable and effective IT proposal evaluation method.

균열을 포함한 계의 mesh 자동분할에 관한 연구 (A Study of Mesh Automatic Generating Method for Cracked Body)

  • Park, S.O.
    • 한국정밀공학회지
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    • 제12권2호
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    • pp.162-172
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    • 1995
  • In this paper new mesh generation method is proposed for crack propagation analysis based on the finite element method. The main tool of the method is the Delaunay Triangulation, Transfinete element mapping, and it allows the setting of the arbitrary crack-growth increment and the arbitrary crack direction. It has the form of a subroutine, and it is easily introduced as a subroutine for any mesh generation method which is based on the blocking method.

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K-means Clustering using Grid-based Representatives

  • Park, Hee-Chang;Lee, Sun-Myung
    • Journal of the Korean Data and Information Science Society
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    • 제16권4호
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    • pp.759-768
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    • 2005
  • K-means clustering has been widely used in many applications, such that pattern analysis, data analysis, market research and so on. It can identify dense and sparse regions among data attributes or object attributes. But k-means algorithm requires many hours to get k clusters, because it is more primitive and explorative. In this paper we propose a new method of k-means clustering using the grid-based representative value(arithmetic and trimmed mean) for sample. It is more fast than any traditional clustering method and maintains its accuracy.

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