• Title/Summary/Keyword: 한국형시스템개발

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The UPnP Expansion for Internet Home Network Electrical Appliance Control (인터넷 홈 네트워크 가전 제어를 위한 UPnP 확장)

  • Kim Kuk-Se;Park Chan-Mo;Lee Cheol-Seung;Lee Joon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.417-420
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    • 2006
  • UPnP presents home network middleware for local home electrical appliances basedon internet protocols that is available access and control electrical appliances just in local home network. Itis designed to bring easy-to-use, flexible, standards-based connectivity to ad-hoc or unmanaged networks in the home, a small business, public spaces, or attached to the Internet. In this paper, Internet Gateway expands UPnP IGD(Internet Gateway Device) DCP(Device Control protocol) and UPnP IGP Bridge for Internet Home Network Electrical Appliance Control. UPnP IGD DCP is configurable initiation and sharing of internet connections, advanced connection-management features, management of host configuration service, and supports transparent Internet access by non-UPnP-certified devices. UPnP Bridge search for local home network devices by sending control messages. Control Point of UPnP Bridge search for devices of interest on the network and can control or be controlled all of functions by IGD DCP with control commands. Outside client, approach to UPnP IGD DCP, send control messages UPnP Bridge, and invoke each UPnP device. As a result, Electrical Appliance of Home Network base on UPnP, can control and be controlled via the Internet like ones in the one Home Network without modification of existing UPnP.

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Surface properties on ion beam irradiated polycarbonate (이온주입에 의한 폴리카보네이트의 표면특성 조사)

  • Lee, Jae-Hyung;Yang, Dae-Jeong;Kil, Jae-Kyun;Kim, Bo-Young
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.11a
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    • pp.31-35
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    • 2003
  • 폴리카보네이트는 내열성과 투명성이 우수한데 비해 내후성이 좋지 않아 황변 및 물성이 저하되고, 내찰상성이 약하여 긁히기 쉬운데다 이물질에 의해 오염되기 쉬워 투명성이 저하되는 문제점이 있다. 이러한 단점을 극복하고, 사용하는 용도에 따라 요구되는 다양한 기능성을 부여하기 위하여 폴리카보네이트 표면에 기능성층을 형성시킴으로써 그 목적을 달성하고자 한다. 본 논문에서는 이온 주입기술을 이용하여, 폴리카보네이트 표면의 전기전도도 특성을 향상시키고, 피부암 및 백내장 등을 유발하는 유해한 자외선 (UV-A, UV-B)을 차단하려 한다. 표면전기전도도의 향상은 이물질로부터 오염되는 정도를 낮추며, 정전기를 방지할 수 있다. PC(Polycarbonate) 표면에 $N^+,\;Ar^+,\;Kr^+,\;Xe^+$ 이온을 에너지 20keV에서 50keV을 사용하여, 주입량 $5{\times}10^{15}\;{\sim}\7{\times}10^{16}\cm^2$ 로 조사하였다. 이온 주입된 PC의 표면을 두 접점 방법의 표면 저항 측정으로 표면전기전도도 특성을 알아보았고, 자외선차단 특성은 UV-Vis 로 분석하였다. 이들 전기적 광학적 특성간의 상관관계를 관찰하고, 이러한 특성을 나타내는 화학적 기능그룹들의 변화를 보기 위해 FTIR 분석법으로 관찰하였다. 이온조사량의 증가에 따라 표면저항은 $10^7{\Omega}/sq$까지 감소하여 표면전기특성을 증가시키며, 자외선 차단 특성은 UV-A를 95%까지 차단하여 인체에 유해한 자외선 차단에 유용함을 확인하였다. 이러한 특성은 PC 표면에 카본 네트워크 형성과 $\pi$전자들의 운동량을 증가시키는 구조로 고분자 사슬들의 결합구조 변형에 의한 것으로 생각된다.블을 가지고 파서를 설계하였다. 파서의 출력으로 AST가 생성되면 번역기는 AST를 탐색하면서 의미적으로 동등한 MSIL 코드를 생성하도록 시스템을 컴파일러 기법을 이용하여 모듈별로 구성하였다.적용하였다.n rate compared with conventional face recognition algorithms. 아니라 실내에서도 발생하고 있었다. 정량한 8개 화합물 각각과 총 휘발성 유기화합물의 스피어만 상관계수는 벤젠을 제외하고는 모두 유의하였다. 이중 톨루엔과 크실렌은 총 휘발성 유기화합물과 좋은 상관성 (톨루엔 0.76, 크실렌, 0.87)을 나타내었다. 이 연구는 톨루엔과 크실렌이 총 휘발성 유기화합물의 좋은 지표를 사용될 있고, 톨루엔, 에틸벤젠, 크실렌 등 많은 휘발성 유기화합물의 발생원은 실외뿐 아니라 실내에도 있음을 나타내고 있다.>10)의 $[^{18}F]F_2$를 얻었다. 결론: $^{18}O(p,n)^{18}F$ 핵반응을 이용하여 친전자성 방사성동위원소 $[^{18}F]F_2$를 생산하였다. 표적 챔버는 알루미늄으로 제작하였으며 본 연구에서 연구된 $[^{18}F]F_2$가스는 친핵성 치환반응으로 방사성동위원소를 도입하기 어려운 다양한 방사성의 약품개발에 유용하게 이용될 수 있을 것이다.었으나 움직임 보정 후 영상을 이용하여 비교한 경우, 결합능 변화가 선조체 영역에서 국한되어 나타나며 그 유의성이 움직임 보정 전에 비하여 낮음을 알 수 있었다. 결론: 뇌활성화 과제 수행시에 동반되는 피험자의 머리 움직임에 의하여 도파민 유리가 과대평가되었으며 이는 이 연구에서 제안한 영상정합을 이용한 움직임 보정기법에 의해서 개선되었다. 답이 없는 문제, 문제 만들기, 일반화가 가능한 문제 등으

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Prediction of Traffic Congestion in Seoul by Deep Neural Network (심층인공신경망(DNN)과 다각도 상황 정보 기반의 서울시 도로 링크별 교통 혼잡도 예측)

  • Kim, Dong Hyun;Hwang, Kee Yeon;Yoon, Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.4
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    • pp.44-57
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    • 2019
  • Various studies have been conducted to solve traffic congestions in many metropolitan cities through accurate traffic flow prediction. Most studies are based on the assumption that past traffic patterns repeat in the future. Models based on such an assumption fall short in case irregular traffic patterns abruptly occur. Instead, the approaches such as predicting traffic pattern through big data analytics and artificial intelligence have emerged. Specifically, deep learning algorithms such as RNN have been prevalent for tackling the problems of predicting temporal traffic flow as a time series. However, these algorithms do not perform well in terms of long-term prediction. In this paper, we take into account various external factors that may affect the traffic flows. We model the correlation between the multi-dimensional context information with temporal traffic speed pattern using deep neural networks. Our model trained with the traffic data from TOPIS system by Seoul, Korea can predict traffic speed on a specific date with the accuracy reaching nearly 90%. We expect that the accuracy can be improved further by taking into account additional factors such as accidents and constructions for the prediction.

Student-Centered Discrete Mathematics Class with Cyber Lab (학생중심의 대학 이산수학 강의 운영사례)

  • Lee, Sang-Gu;Lee, Jae Hwa
    • Communications of Mathematical Education
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    • v.33 no.1
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    • pp.1-19
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    • 2019
  • This study deals with the case of student-centered discrete mathematics class with cyber lab. First, we provided lecture notes and cyber labs we developed. In particular, discrete mathematics is a course that covers the principles of algorithms. The purpose of this study is to provide students with basic mathematics, aiming to actively participate in the learning process, to improve their abilities and to reach the ultimate goal of student success with confidence. Second, based on interactions, students were able to prepare for the lectures, review, question, answer, and discussion through an usual learning management system of the school. Third, all the students generated materials through one semester, which were reported, submitted, presented and evaluated. It was possible to improve the learning effectiveness through the discussions and implementation of using some easy open source programming language and codes. Our discrete math laboratory could be practiced without any special knowledge of coding. These lecture models allow students to develop critical thinking skills while describing and presenting their learning and problem-solving processes. We share our experience and our materials including lecture note and cyber lab as well as a possible model of student-centered mathematics class that does not give too much of work load for instructors. This study shares a model that demonstrates that any professor will be able to have an individualized, customized, and creative discrete education without spending much of extra time and assistant, unlike previous research.

An Analysis of the Outcomes of Parent Competency Enhancement Project for Children's Education in Daegu, Korea (학부모 자녀교육 역량강화 사업의 성과 분석)

  • Kim, Hyun-Wook;Ju, Dong-Beom
    • Korean Journal of Comparative Education
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    • v.28 no.5
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    • pp.71-90
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    • 2018
  • The purpose of the study was to analyze the various outcomes of parent competency enhancement project for children's education by Daegu Metropolitan Office of Education in Daegu, Korea. For this, the study explored the developmental process of parent educational competency enhancement policy and the main contents of parent competency enhancement project for children's education. Based on this, the study analyzed the outcomes of parent competency enhancement project for children's education. The main results are as the followings. First, a system for enhancing parents' competency for children's education by administering parent competency enhancement project for children's education was established. Second, personnel for parent education by administering parent competency enhancement project for children's education was cultivated. Third, basic courses and in-depth courses using the needs of parent who is educational consumer by administering parent competency enhancement project for children's education were developed. Finally, the result of evaluation by student, parent, and teacher and educational expert indicated that they showed high satisfaction about parent competency enhancement project for children's education. However, it showed that it is necessary to make up the operational time and method and the profession of instructor and program and to support parent considering various types of school. The implications for the main results were discussed.

A Study on the Expansion of Workflow for the Collection of Surface Web-based OSINT(Open Source Intelligence) (표면 웹기반 공개정보 수집을 위한 워크플로우 확장 연구)

  • Lee, SuGyeong;Choi, Eunjung;Kim, Jiyeon;Lee, Insoo;Lee, Seunghoon;Kim, Myuhngjoo
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.367-376
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    • 2022
  • In traditional criminal cases, there is a limit to information collection because information on the subject of investigation is provided only with personal information held by the national organization of legal. Surface web-based OSINT(Open Source Intelligence), including SNS and portal sites that can be searched by general search engines, can be used for meaningful profiling for criminal investigations. The Korean-style OSINT workflow can effectively profile based on OSINT, but in the case of individuals, OSINT that can be collected is limited because it begins with "name", and the reliability is limited, such as collecting information of the persons with the same name. In order to overcome these limitations, this paper defines information related to individuals, i.e., equivalent information, and enables efficient and accurate information collection based on this. Therefore, we present an improved workflow that can extract information related to a specific person, ie., equivalent information, from OSINT. For this purpose, different workflows are presented according to the person's profile. Through this, effective profiling of a person (individuals) is possible, thereby increasing reliability in collecting investigation information. According to this study, in the future, by developing a system that can automate the analysis process of information collected using artificial intelligence technology, it can lay the foundation for the use of OSINT in criminal investigations and contribute to diversification of investigation methods.

Analysis and Implications of Private-led Library Services for the Disabled in Major Advanced Countries (주요 선진국 민간주도형 도서관 장애인서비스 분석과 시사점)

  • Yoon, Hee-Yoon
    • Journal of Korean Library and Information Science Society
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    • v.53 no.2
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    • pp.1-23
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    • 2022
  • Access to knowledge and information is a universal human right. However, even after the Marrakesh Treaty was adopted on June 27, 2013, only 1-7% of standard printed materials are accessible to people with reading disabilities, including the visually impaired, and library services are very weak. As a result, the book famine of people with reading disabilities continues. This study, focusing on such severe access gaps and inequalities, analyzes Learning Ally and Bookshare in the US, the Royal National Institute of Blind People (RNIB) in the UK, Bibliothèque Numérique Francophone Accessible (BNFA) in France, and SAPIE in Japan, which are considered private organizations leading library services for the disabled in major developed countries. And based on the derived implications and the Marrakesh Treaty, a strategic plan was proposed to strengthen the services of the disabled in domestic libraries. It is urgent to enact the 'Act to Resolve Reading Barriers', amend the provisions related to the Copyright Act that restrict library services, strengthen the organizational capacity of the National Library for the Disabled, raise the service index for the disabled in library evaluation, and establish a library cooperation system centered on regional representative libraries and expand services, etc.

Development of Korean Warrior Platform Architecture (한국형 워리어플랫폼 아키텍처 개발 연구)

  • Kim, Wukki;Shin, Kyuyong;Cho, Seongsik;Baek, Seungho;Kim, Yongchul
    • Journal of Convergence for Information Technology
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    • v.11 no.5
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    • pp.111-117
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    • 2021
  • With the rapid development of advanced science and technology including the 4th industrial revolution, the future battlefield environment is evolving at a rapid pace. In order to actively respond to issues such as reduction of military resources and shortening of service period, and to emphasize the realization of human-centered values, the Ministry of National Defense is re-establishing the role of the Army in accordance with the defense reform and is promoting the Warrior Platform, a next-generation individual combat system. In this paper, we intend to present the optimal warrior platform architecture suitable for the Korean Army by realizing the concept of future ground operations and analyzing overseas cases. We analyze the essential abilities required of individual combatants and the abilities required for each unit type, and specifically presents a plan for integration and linkage of warrior platform equipment. We also propose an efficient business promotion direction by presenting the data flow and power connection diagram between the devices that need integration and interworking.

Technology Trends of Smart Abnormal Detection and Diagnosis System for Gas and Hydrogen Facilities (가스·수소 시설의 스마트 이상감지 및 진단 시스템 기술동향)

  • Park, Myeongnam;Kim, Byungkwon;Hong, Gi Hoon;Shin, Dongil
    • Journal of the Korean Institute of Gas
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    • v.26 no.4
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    • pp.41-57
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    • 2022
  • The global demand for carbon neutrality in response to climate change is in a situation where it is necessary to prepare countermeasures for carbon trade barriers for some countries, including Korea, which is classified as an export-led economic structure and greenhouse gas exporter. Therefore, digital transformation, which is one of the predictable ways for the carbon-neutral transition model to be applied, should be introduced early. By applying digital technology to industrial gas manufacturing facilities used in one of the major industries, high-tech manufacturing industry, and hydrogen gas facilities, which are emerging as eco-friendly energy, abnormal detection, and diagnosis services are provided with cloud-based predictive diagnosis monitoring technology including operating knowledge. Here are the trends. Small and medium-sized companies that are in the blind spot of carbon-neutral implementation by confirming the direction of abnormal diagnosis predictive monitoring through optimization, augmented reality technology, IoT and AI knowledge inference, etc., rather than simply monitoring real-time facility status It can be seen that it is possible to disseminate technologies such as consensus knowledge in the engineering domain and predictive diagnostic monitoring that match the economic feasibility and efficiency of the technology. It is hoped that it will be used as a way to seek countermeasures against carbon emission trade barriers based on the highest level of ICT technology.

Analysis of Propagation Characteristics in 6, 10, and 17 GHz Semi-Basement Indoor Corridor Environment (6, 10, 17 GHz 반지하 실내 복도 환경의 전파 특성 분석)

  • Lee, Seong-Hun;Cho, Byung-Lok
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.4
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    • pp.555-562
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    • 2022
  • This study measured and analyzed the propagation characteristics at frequencies 6, 10, and 17 GHz to discover the new propagation demands in a semi-basement indoor corridor environment for meeting the 4th industrial revolution requirements. The measured indoor environment is a straight corridor consisting of three lecture rooms and glass windows on the outside. The measurement scenario development and measurement system were constructed to match this environment. The transmitting antenna was fixed, and the frequency domain and time domain propagation characteristics were measured and analyzed in the line-of-sight environment based on the distance of the receiving antenna location. In the frequency domain, reliability was determined by the parameters of the floating intercept (FI) path loss model and an R-squared value of 0.5 or more. In the time domain, the root mean square (RMS) delay spread and the cumulative probability of K-factor were used to determine that 6 GHz had high propagation power and 17 GHz had low propagation power. These research results will be effective in providing ultra-connection and ultra-delay artificial intelligence services for WIFI 6, 5G, and future systems in a semi-basement indoor corridor environment.