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Detection of a Suicide by Hanging Based on a 3-D Image Analysis
Serin Lee,Hanguen Kim,Sangwon Lee,Youngjae Kim,Dongsung Lee,Jinsun Ju,Hyun Myung IEEE 2014 IEEE SENSORS JOURNAL Vol.14 No.9
<P>Prisoner suicide has been one of the leading causes of death in correctional facilities. In particular, since hanging is the most common suicide method, various systems have been proposed to detect and prevent hanging attempts. This letter presents the preliminary results of applying 3-D image recognition techniques to detect a partial suspension hanging attempt. This is the most frequently occurring method of hanging in prison settings, but is difficult to recognize using conventional methods. By using a 3-D camera and random forest, the experimental results show that the proposed detection algorithm can detect hanging suicide attempts with more than 95% accuracy.</P>
Nash equilibrium-based geometric pattern formation control for nonholonomic mobile robots
Lee, Seung-Mok,Kim, Hanguen,Lee, Serin,Myung, Hyun Techno-Press 2014 Advances in robotics research Vol.1 No.1
This paper deals with the problem of steering a group of mobile robots along a reference path while maintaining a desired geometric formation. To solve this problem, the overall formation is decomposed into numerous geometric patterns composed of pairs of robots, and the state of the geometric patterns is defined. A control algorithm for the problem is proposed based on the Nash equilibrium strategies incorporating receding horizon control (RHC), also known as model predictive control (MPC). Each robot calculates a control input over a finite prediction horizon and transmits this control input to its neighbor. Considering the motion of the other robots in the prediction horizon, each robot calculates the optimal control strategy to achieve its goals: tracking a reference path and maintaining a desired formation. The performance of the proposed algorithm is validated using numerical simulations.
데이터 공학 : 항목집합의 트랜잭션 유틸리티를 이용한 높은 유틸리티 항목집합 마이닝
이세린 ( Serin Lee ),박종수 ( Jong Soo Park ) 한국정보처리학회 2015 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.4 No.11
높은 유틸리티 항목집합 마이닝은 트랜잭션 데이터베이스에서 사용자가 지정한 최솟값 이상의 유틸리티를 갖는 항목집합들을 항목의 수량과 가중치값을 동시에 고려하여 찾아내는 것이다. 최근에 연구된 유틸리티-리스트 기반의 높은 유틸리티 항목집합 마이닝 알고리즘은 많은 후보 항목집합들을 피하기 위해 제안되었으며 비용이 높은 조인 연산을 수행한다. 본 논문은 유틸리티-리스트 구조에 항목집합의 트랜잭션 유틸리티와 공통 유틸리티 속성을 추가한 새로운 알고리즘을 제안한다. 이 새로운 알고리즘은 조인 연산의 수를 줄이고 탐색 공간을 효과적으로 가지치기한다. 생성 데이터와 실 환경 데이터상의 실험 결과를 통해 제안된 알고리즘이 다른 최근 알고리즘들에 비해 실행 시간 면에서 아주 우수하고, 특히 데이터가 조밀하거나 항목집합의 길이가 긴 경우에 더 효율적이라는 것을 보여준다. High utility itemset(HUI) mining refers to the discovery of itemsets with high utilities which are not less than a user-specified minimum utility threshold, by considering both the quantities and weight factors of items in a transaction database. Recently the utility-list based HUI mining algorithms have been proposed to avoid numerous candidate itemsets and the algorithms need the costly join operations. In this paper, we propose a new HUI mining algorithm, using the utility-list with additional attributes of transaction utility and common utility of itemsets. The new algorithm decreases the number of join operations and efficiently prunes the search space.Experimental results on both synthetic and real datasets show that the proposed algorithm outperforms other recent algorithms in runtime, especially when datasets are dense or contain many long transactions.
이상원(Sangwon Lee),김한근(Hanguen Kim),김영재(Youngjae Kim),이세린(Serin Lee),이동성(Dongsung Lee),주진선(Jinsun Ju),명현(Myung Hyun) 제어로봇시스템학회 2014 제어로봇시스템학회 각 지부별 자료집 Vol.2014 No.11
In this paper, a novel method for human pose estimation algorithm is proposed. The proposed algorithm only uses depth information only and can work for any human without calibration. To estimate human poses, the proposed algorithm combines a support vector machine(SVM) and a geodesic distance graph. The SVM-based pose estimator uses randomly selected human features to reduce computation. Body parts that involve a lot of motions are estimated by geodesic distance value. The proposed human pose estimation algorithm is evaluated through an experiment and the result showed that our method perform fairly well.
Park, Serin,Park, Sohee,So, Hye-Mi,Jeon, Eun-Kyoung,Park, Dong-Won,Kim, Ju-Jin,Kim, Beom Soo,Kong, Ki-jeong,Chang, Hyunju,Lee, Jeong-O. Elsevier 2010 Carbon Vol.48 No.8
<P><B>Abstract</B></P><P>We have employed computer-aided furnace design and process simulation to optimize the conditions under which single-walled carbon nanotubes (SWCNTs) may be grown in high yields on 4in. wafers for electronic device applications. Hydrokinetic simulations were performed to obtain optimized furnace structures and process conditions in terms of gas flow, temperature, and gas speed. Shower head structures and a flow isolation barrier were installed in an experimental 6in. furnace, as suggested by the hydrokinetic simulations. To ensure clean surfaces and uniform catalyst islands, catalyst patterns were lifted off using Au films or polydimethylsiloxane. Photolithography was used to fabricate field-effect transistors with SWCNTs grown on 4in. wafer substrates. The total yield of the nanotube devices increased from 30.5% to 96.4% after optimization.</P>
과학기술관련 사회쟁점 미디어 정보에 대한 중학생들의 평가 양상 탐색
조세린 ( Serin Jo ),고연주 ( Yeonjoo Ko ),이현주 ( Hyunju Lee ) 한국과학교육학회 2021 한국과학교육학회지 Vol.41 No.1
대중매체를 통해 전달되는 과학기술관련 사회쟁점(SSI)에 관한 미디어 정보를 비판적으로 평가하여 합리적인 의사결정을 내릴 수 있는 능력은 시민으로서 지녀야 할 과학적 소양의 한 측면이다. 본 연구는 합리적인 의사결정을 위해 선행되어야 할 학생들의 정보 평가 양상에 관한 것으로, 일상에서 접하는 SSI 미디어 정보를 과학적 요소가 강조된 수치정보와 정서적 공감이 강조된 공감정보로 구분한 후, 이러한 정보의 특성에 따라 중학생들의 정보 평가 양상이 어떻게 다른지 탐색해보았다. 본 연구에는 중학생 96명이 참여하였으며, 신문기사 형식의 SSI 자료 내 정보의 신뢰도와 설득력 있는 정도를 묻는 질문지를 도입하였다. 질문지는 세 가지 SSI 주제에 대한 찬성 또는 반대 입장에 대해 과학적 요소가 강조된 수치정보와 정서적으로 호소하여 공감을 불러일으키는 공감정보 기사 2개로 구성되었으며, 정보가 얼마나 믿을만한가를 묻는 신뢰도 평가 문항과 정보가 얼마나 설득력 있는가를 묻는 설득력 있는 정도 평가 문항을 포함하였다. 연구 결과, 첫째 전반적으로 학생들은 SSI 맥락에서 공감정보보다 수치정보를 더 신뢰하는 것으로 나타났다. 신뢰하는 정보 요소로는 수치정보에서는 과학적 증거와 데이터를, 공감정보에서는 사례, 사회 문제, 표현, 그리고 가치를 주로 신뢰하는 것으로 나타났다. 둘째, 설득력 있는 정도에 대한 평가는 수치나 공감과 같은 정보의 유형보다는 SSI 맥락이나 내용적인 측면에 따라 상이한 것으로 나타났다. 즉, 학생들은 SSI 정보를 담은 기사의 설득력을 판단할 때 정보에 담긴 가치, 근거의 풍부함, 정보의 논리성을 바탕으로 판단하였다고 볼 수 있다. Ability to make informed decisions by critically evaluating media information on socioscientific issues (SSI) is one of the crucial elements of scientific literacy that citizens should obtain. This study aims to investigate how middle school students evaluated media information about socioscientific issues (SSI) when they faced two different types of information (i.e., numerical and empathic information). To achieve the aim, 96 middle school students responded to the questionnaires asking them to evaluate reliability and persuasiveness of SSI media information. The questionnaires consisted of two sets of newspaper articles on each SSI (pro-numerical/empathic, against-numerical/empathic). After reading the articles, the students evaluated reliability and persuasiveness of each article and wrote the reasons for their evaluation. The results were as follows: First, the students believed that news articles with numerical information were more reliable than the ones with empathic information in all SSI contexts. They tended to trust scientific evidence and data from numerical information, and real cases, societal problems, expressions, and values from empathic information. In addition, they evaluated their reliability based on the logic of information, accuracy of information, breadth and depth of data, and quantity and quality of sources both numerical and empathic information. Second, in case of evaluating persuasiveness of the articles, they focused more on the values that information contained, richness and logicality of the information, rather than the types of information, regardless of the type of information.