• Title/Summary/Keyword: multiple change-points

검색결과 93건 처리시간 0.032초

접근속도와 상충지점 기반 동적황색신호시간 산정 연구 (A Study on the Calculation of Dynamic Yellow Signal Time Based on Approach Speed and Collision Points)

  • 손현호;성상훈;이철기;이현수
    • 한국ITS학회 논문지
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    • 제22권4호
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    • pp.14-34
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    • 2023
  • 본 연구의 목적은 신호교차로의 적정황색신호시간 산정을 위한 것으로, 황색신호시간 산정 시 접근속도와 교차로 폭에 따른 연관성을 알아보고 신호 운영에 따라 변화되는 교차로 내 상충과 딜레마구간을 최소화하여 교차로 운영 안전성을 확보하는 데 있다. 이를 위해 5개 교차로의 6824건의 자료를 수집 분석하였다. 주요 연구결과는 첫째, 차로별 개별차량 접근속도를 분석하고 방향별 상충을 고려해 교차로 폭을 정의하였다. 둘째, 기존 산식의 문제점을 보완한 접근속도와 상충 지점 기반 다중회귀모형식을 개발하였다. 셋째, 개발 산정식을 통해 접근속도와 교차로 폭에 따른 적정황색신호시간 적용 기준표를 제시하였으며, 와의 관계를 이용해 황색신호시간과 딜레마구간을 교차 분석할 수 있는 산정표를 제시하여 황색신호시간 변화에 따른 딜레마 길이의 안전성을 판단하는 방안을 제시하였다.

텍스트 마이닝과 딥러닝을 활용한 암호화폐 가격 예측 : 한국과 미국시장 비교 (The Prediction of Cryptocurrency on Using Text Mining and Deep Learning Techniques : Comparison of Korean and USA Market)

  • 원종관;홍태호
    • 지식경영연구
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    • 제22권2호
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    • pp.1-17
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    • 2021
  • 본 연구에서는 한국과 미국의 대표적인 거래소인 빗썸과 코인베이스의 비트코인 가격을 ARIMA와 순환 신경망(Recurrent Neural Network)을 이용해 예측하고, 이후 각 국가의 뉴스 기사를 이용해 분리 학습에 기반한 separated RNN 모형을 제안한다. separated RNN 모형은 학습 데이터를 가격의 추세 변화 점을 기준으로 분리해 학습시킨 후, 추세 변화점 별 뉴스 데이터를 활용해 용어 기반 사전을 구축한다. 이후 용어 기반 사전과 평가 데이터 기간의 뉴스 데이터를 이용해 예측할 데이터의 가격 추세 변화 점을 찾아낸 후, 매칭되는 모형을 적용해 예측 결과를 산출한다. 2017년 5월 22일부터 2020년 9월 16일까지의 가격 데이터를 사용해 분석한 결과, 제안된 separated RNN을 이용해 예측한 결과가 한국과 미국의 비트코인 가격 예측 모두에서 순환 신경망(RNN)을 이용해 예측한 결과보다 높은 예측 성과를 보였다. 본 연구는 시계열 예측 기법의 한계를 뉴스 데이터를 이용한 추세 변화 점 탐색을 통해 극복할 수 있고, 성과 향상을 위한 추후 다양한 시계열 예측 기법 및 추세 변화 점 탐색을 위한 다양한 텍스트 마이닝 기법을 적용해볼 필요가 있음을 시사한다.

치과위생사의 직무 스트레스와 턱관절 장애 자각증상의 상관성 연구 (Relationship between job-stress and temporomandibular joint disorder in dental hygienists)

  • 정은영;김명래
    • 한국치위생학회지
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    • 제14권3호
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    • pp.381-390
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    • 2014
  • Objectives : The purpose of the study is to investigate the relationship between job-stress and temporomandibular joint(TMJ) disorder in dental hygienists. This study will provide the basic data to improve the working condition and the quality of life. Methods : The subjects were 229 dental hygienists at general hospitals in Seoul, Korea. A self-reported questionnaire was filled out from May 20 to June 20, 2013. The questionnaire consisted of 4 questions of demographic features, 11 questions for TMJ symptoms and 5 questions for job stress. The data were analyzed by frequency analysis, chi-square test, Mann-Whitney U test and multiple job-stress logistic regression analysis using SPSS version 21.0. Results : During the last six months, 53.3%(122 persons) of the dental hygienists had TMJ disorder symptoms including joint noise(40.6%, 93 persons), TMJ pain(31.4%, 71 persons) and limitation of TMJ(21.8%, 50 persons). Job-stress is divided into two ranges including high stress group(4.3-5.0 points) and low stress group(0.0-3.6 points) in TMJ pain and joint noise(p<0.05). TMJ pain was closely related to low back pain, pelvis pain and tension headache arising from the uncomfortable working posture. Conclusions : It is necessary to prevent the job stress in the dental hygienists by the improvement of working condition, emotional stability, and frequent postural change.

라이다 자료를 이용한 하천지역 인공 제방선 추출 (Construction of a artificial levee line in river zones using LiDAR Data)

  • 정윤재;박현철;조명희
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2011년도 학술발표회
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    • pp.185-185
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    • 2011
  • Mapping of artificial levee lines, one of major tasks in river zone mapping, is critical to prevention of river flood, protection of environments and eco systems in river zones. Thus, mapping of artificial levee lines is essential for management and development of river zones. Coastal mapping including river zone mapping has been historically carried out using surveying technologies. Photogrammetry, one of the surveying technologies, is recently used technology for national river zone mapping in Korea. Airborne laser scanning has been used in most advanced countries for coastal mapping due to its ability to penetrate shallow water and its high vertical accuracy. Due to these advantages, use of LiDAR data in coastal mapping is efficient for monitoring and predicting significant topographic change in river zones. This paper introduces a method for construction of a 3D artificial levee line using a set of LiDAR points that uses normal vectors. Multiple steps are involved in this method. First, a 2.5-dimensional Delaunay triangle mesh is generated based on three nearest-neighbor points in the LiDAR data. Second, a median filtering is applied to minimize noise. Third, edge selection algorithms are applied to extract break edges from a Delaunay triangle mesh using two normal vectors. In this research, two methods for edge selection algorithms using hypothesis testing are used to extract break edges. Fourth, intersection edges which are extracted using both methods at the same range are selected as the intersection edge group. Fifth, among intersection edge group, some linear feature edges which are not suitable to compose a levee line are removed as much as possible considering vertical distance, slope and connectivity of an edge. Sixth, with all line segments which are suitable to constitute a levee line, one river levee line segment is connected to another river levee line segment with the end points of both river levee line segments located nearest horizontally and vertically to each other. After linkage of all the river levee line segments, the initial river levee line is generated. Since the initial river levee line consists of the LiDAR points, the pattern of the initial river levee line is being zigzag along the river levee. Thus, for the last step, a algorithm for smoothing the initial river levee line is applied to fit the initial river levee line into the reference line, and the final 3D river levee line is constructed. After the algorithm is completed, the proposed algorithm is applied to construct the 3D river levee line in Zng-San levee nearby Ham-Ahn Bo in Nak-Dong river. Statistical results show that the constructed river levee line generated using a proposed method has high accuracy in comparison to the ground truth. This paper shows that use of LiDAR data for construction of the 3D river levee line for river zone mapping is useful and efficient; and, as a result, it can be replaced with ground surveying method for construction of the 3D river levee line.

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도시인의 '삶의 질' 결정요인에 관한 비교정태분석 (A Comparative Static Study on the Variables' Significance to Urban Quality of Life)

  • 김동윤
    • 한국디지털건축인테리어학회논문집
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    • 제13권3호
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    • pp.15-23
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    • 2013
  • As a succeeding analysis on the variables' significance to 'Quality of Life(QOL)'(Kim, Dong-Yoon, 2012a), which has a purpose of trying to enhance the intersubjectiveness by means of quantitive methods to find the factors on the QOL, this study aims at finding the time serial change in the deciding factors to deepen the related researches on the theme. Using the similar statistical methods such as multiple regression and factor analysis for "2012 Seoul Survey" this study shows two similar points and one differentia. The similarities include the fact that five subcategories of happiness have relative statistical importance in the order of (1)financial condition, (2)health condition, (3)social activities, (4)community relationship and (5)family life and the fact that the five subcategories are conceptually different from the 5 deciding factors, which means the possibility to improve the survey design. And the difference is the 5 factors such as (1) social trust - amenities, (2)cultural life, (3)social indiscrimination - hope for elevation, (4)sharing - giving and (5)community spirit which are largely different from preceding study. Although only the first two factors have statistical significance this result has a implication that they reflect the new paradigm of social capital and the essential necessity of human survival; sharing-community-culture.

증강 현실을 이용한 산업 제품의 빠르고 효과적인 디자인 방법 (Rapid and Tangible Method of Product Design using Augmented Reality Technology)

  • 진윤석;김양욱;김보미;박준
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2008년도 학술대회 1부
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    • pp.55-58
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    • 2008
  • 산업 제품을 디자인하는 디자이너들은 CAD(Computer Aided Design)과 같은 방법을 사용하여 새로운 디자인을 만들어내고, 이를 적용한 가상의 3D 모델을 통해 살펴본다. 이 방법은 직접 손으로 도면을 그리고 단순히 한쪽 면만 살펴볼 수 있었던 기존의 방법에 비해서 컴퓨터로 인한 자동화와 다양한 각도에서 제품에 적용된 새로운 디자인을 살펴봄으로써 시간과 비용을 절감할 수 있다. 이에 우리는 앞서 언급한 디자인 방법에 Augmented Reality와 Rapid Prototyping의 개념을 더해 현실적이고 인터랙티브한 산업제품의 디자인 방법을 고안하였다. 이것은 스티로폼과 같은 재질로 만들어진 mockup을 조립하여 만들고, 3D 모델의 컬러, 재질, 버튼 등의 인터페이스 요소와 실제 제품을 조작하는 것과 같은 인터랙티브한 요소들을 적용시킴으로써 제품을 디자인할 수 있는 증강현실기반 시스템이다.

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A fundamental study on velocity restoration for tidal farm

  • Hoang, A.D.;Yang, C.J.
    • Journal of Advanced Marine Engineering and Technology
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    • 제37권3호
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    • pp.266-273
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    • 2013
  • With the worldwide trend of controlling the utilization of fossil fuels inducing global climate change, many efforts will have to be made on securing a sustainable energy supply. Tidal current is a concentrated form of gravitational energy, its resource is significant, but limited locations. To effectively capture tidal current energy from the sea, a group of tidal turbines should be formed and positioned with optimal size and spacing for absorbing from multiple points. Thus, the flow field including turbines becomes a huge domain, a so-called tidal farm. It can be very convenient technically and economically if a whole turbine farm is simulated by means of actuator disc thoery. So, the analysis method using actuator discs coupled with a solution of Reynolds Averaged Navier-Stokes (RANS) equations is adopted for actual tidal turbines. Actuator discs have regions where similar forces imposed by actual turbines are applied to a flow. As working in group formation, turbines naturally have interaction effects on one another. Therefore, the present paper investigate the evaluation on the operating performance of tidal farm in terms of the mutual influence among turbine units with various lateral and longitudinal spacing. Authors expect that results of the present study contribute to the development of tidal farm for the future potential energy.

월경 증상 영향요인 탐색: 일 대학 대학생을 중심으로 (Exploring Factors Influencing Menstrual Symptom: Focus on University Students)

  • 김남희
    • 한국보건간호학회지
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    • 제35권1호
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    • pp.120-134
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    • 2021
  • Purpose: The reproductive health of women in early adulthood can affect pregnancy, childbirth, and menopause in later life. Menstrual symptoms not only affect daily life, but are also a reflection of a woman's reproductive health. This study was conducted to explore the factors affecting menstrual symptoms among university students. Methods: The general characteristics, life style, menstrual characteristics, stress, and menstrual symptom of 177 female students were assessed through an online survey at one university. An independent sample t-test, one-way variance analysis, correlation analysis, and multiple regression analysis were performed using the SPSS 22.0 program. Results: The menstrual symptom score was 91.68±32.11 points, and the score of 'mood change' was the highest. Stress (��=.38, p<.001), amount of menstruation (��=.20, p=.001), menarche age (��=-.18, p=.003), health problems (��=.16, p=.010), and age (��=.15, p=.016) were found to have a significant effect on menstrual symptom, and the explanatory power of the regression model was 40%. Conclusion: This study investigated the degree and influencing factors of menstrual symptom using the Korean Menstrual Symptom Scale (KMSS) developed for Korean university students. Among the factors influencing menstrual symptom, stress appeared to play a significant role. Stress management, observation of menstrual characteristics, and general health care are necessary to maintain a woman's reproductive health.

An Empirical Inquiry into Psychological Heuristics in the Context of the Korean Distribution Industry within the Stock Market

  • Jeong-Hwan LEE;Se-Jun LEE;Sam-Ho SON
    • 유통과학연구
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    • 제21권9호
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    • pp.103-114
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    • 2023
  • Purpose: This paper aims to assess psychological heuristics' effectiveness on cumulative returns after significant stock price changes. Specifically, it compares availability and anchoring heuristics' empirical validity due to conflicting stock return predictions. Research Design, Data, and Methodology: This paper analyzes stock price changes of Korean distribution industry stocks in the KOSPI market from January 2004 to July 2022, where daily fluctuations exceed 10%. It evaluates availability heuristics using daily KOSPI index changes and tests anchoring heuristics using 52-week high and low stock prices as reference points. Results: As a result of the empirical analysis, stock price reversals did not consistently appear alongside changes in the daily KOSPI index. By contrast, stock price drifts consistently appeared around the 52-week highest stock price and 52-week lowest stock price. The result of the multiple regression analysis which controlled for both company-specific and event-specific variables supported the anchoring heuristics. Conclusions: For stocks related to the Korean distribution industry in the KOSPI market, the anchoring heuristics theory provides a consistent explanation for stock returns after large-scale stock price fluctuations that initially appear to be random movements.

Strip Adjustment of Airborne Laser Scanner Data Using Area-based Surface Matching

  • Lee, Dae Geon;Yoo, Eun Jin;Yom, Jae-Hong;Lee, Dong-Cheon
    • 한국측량학회지
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    • 제32권6호
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    • pp.625-635
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    • 2014
  • Multiple strips are required for large area mapping using ALS (Airborne Laser Scanner) system. LiDAR (Light Detection And Ranging) data collected from the ALS system has discrepancies between strips due to systematic errors of on-board laser scanner and GPS/INS, inaccurate processing of the system calibration as well as boresight misalignments. Such discrepancies deteriorate the overall geometric quality of the end products such as DEM (Digital Elevation Model), building models, and digital maps. Therefore, strip adjustment for minimizing discrepancies between overlapping strips is one of the most essential tasks to create seamless point cloud data. This study implemented area-based matching (ABM) to determine conjugate features for computing 3D transformation parameters. ABM is a well-known method and easily implemented for this purpose. It is obvious that the exact same LiDAR points do not exist in the overlapping strips. Therefore, the term "conjugate point" means that the location of occurring maximum similarity within the overlapping strips. Coordinates of the conjugate locations were determined with sub-pixel accuracy. The major drawbacks of the ABM are sensitive to scale change and rotation. However, there is almost no scale change and the rotation angles are quite small between adjacent strips to apply AMB. Experimental results from this study using both simulated and real datasets demonstrate validity of the proposed scheme.