• 제목/요약/키워드: kinematic classification

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A kinematic study of young stars in Monoceros OB1 and R1 associations

  • Lim, Beomdu;Naze, Yael;Hong, Jongsuk;Yoon, Sungyong;Lee, Jinhee;Hwang, Narae;Park, Byeong-Gon;Lee, Jeong-Eun
    • 천문학회보
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    • 제46권2호
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    • pp.50.1-50.1
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    • 2021
  • The Gaia mission opens a new window to study the kinematics and dynamics of young stellar systems in detail. The kinematic properties of young stars provide vital constraints on the formation process of their host systems. Here, we present a kinematic study of the two associations Monoceros OB1 (Mon OB1) and R1 (Mon R1). Member candidates are first selected from the published list of member candidates, a compilation of OB star catalogues, and the classification of young stellar objects with the AllWISE data. According to the conventional wisdom, we selected a total of 728 members with similar proper motions at almost the same distance. Mon OB1 and Mon R1 have high levels of substructures that are also kinematically distinct. We identify six stellar groups in these associations, of which five show a pattern of expansion. In addition, the signature of rotation is found in two stellar groups of Mon OB1. Star formation history is inferred from a color-magnitude diagram. As a result, star formation in Mon OB1 has been sustained for several million years, while Mon R1 formed at almost the same epoch as the recent star formation in Mon OB1. Some old members in the outskirt of Mon OB1 have outward motions, which rules out the previously proposed outside-in star formation scenario. Star-forming regions including Mon OB1 and Mon R1 are found along a large arc-like gas structure. Hence, the formation of these two associations may originate from the hierarchical star formation along filaments in a turbulent molecular cloud.

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Slope stability study of an open pit gold mine project in interior Alaska

  • Huang Scott L.
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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    • pp.72-77
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    • 2003
  • The study tasked by Ryan Lode Mines, Inc. involved analysis of pit slope stability for two future pits, Ryan and Curlew. A geological discontinuity survey and groundwater information were obtained through a field program. Twenty core logs containing geotechnical information were used for rock mass classification. The kinematic analysis was performed based on a friction angle (${\Phi}=35^{\circ}$), the distribution of geological structures, and a dry slope condition. Factors of safety of pit slopes in two future mines were determined using the limit equilibrium method. The mine slopes and benches designed by Mine Development Associates (MDA) were analyzed. The analysis indicated that both pits should have an overall safety factor above 1.0, provided the slopes are kept dry. However, slopes in both pits exceeding 91.4 m (300 ft) high will become critical, when water fills the cracks and discontinuities.

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Influence of Coronoid Fracture on Elbow Stability: A Kinematic Study Based on New Clinical Relevant Fracture Classification

  • Jeon, In-Ho;Joaquin, Sanchez-Sotelo;Steinmann, Scott;Zhao, Kristin;An, Kai-Nan;Morrey, Bernard F.
    • 대한견주관절학회:학술대회논문집
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    • 대한견주관절학회 2009년도 제17차 학술대회
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    • pp.128-129
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    • 2009
  • This study suggests isolated Type IV-MO or Type IV-LO fractures could be treated with nonsurgical treatment because they do not interfere with normal elbow kinematics. Valgus and external rotation instability were influenced by total articular surface, however, posterior and proximal translation were influenced by isolated articular surface involvement of coronoid. Further clinical studies are warranted to validate these in vitro findings.

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데이터마이닝을 활용한 골프 스윙 최적화 분석 (Quantitative Golf Swing Analysis based on Kinematic Mining Approach)

  • Lee, Kyu Jong;Ryou, Okhyun;Kang, Jihoon
    • 한국운동역학회지
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    • 제31권2호
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    • pp.87-94
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    • 2021
  • Objective: Identification of meaningful patterns and trends in large volumes of unstructured data is an important task in various research areas. In the present study, we gathered golf swing image data and did quantitative analysis of swing image. Method: We collected golf swing images of 30 novice players and 30 professional players in this study. Results: We selected important features of swing posture and employed data mining algorithm to classify whether a player is an expert or a novice. Moreover, our proposed method could offer quantitative advices for golf beginners for correcting their swing. Conclusion: Finally, we found a possibility that our proposed method can be expanded to golf swing correction system

외골격 로봇의 동작인식을 위한 보행의 운동학적 요인을 이용한 보행유형 분류 (Gait Type Classification Based on Kinematic Factors of Gait for Exoskeleton Robot Recognition)

  • 조재훈;봉원우;김동현;최현기
    • 대한의용생체공학회:의공학회지
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    • 제38권3호
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    • pp.129-136
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    • 2017
  • 외골격 로봇은 군사, 산업 및 의료와 같은 다양한 분야에서 사용되도록 개발된 기술이다. 외골격 로봇은 착용자의 움직임을 감지하여 작동한다. 외골격 로봇이 착용자의 일상적인 행동을 인지함으로써 착용자를 신속하게 보조하고 시스템을 효율적으로 활용할 수 있다. 본 연구에서는 피실험자로부터 얻은 운동학적 데이터를 통해 LDA, QDA, kNN을 활용하여 보행유형을 분류한다. 보행은 주로 일상생활에서 수행되는 일반보행과 계단보행을 선정하였다. 피실험자에게 7개의 IMUs 센서를 정해진 위치에 부착하여 운동학적 요소를 측정 하였다. 결과적으로, LDA는 78.42%, QDA는 86.16%, kNN는 k값에 따라 87.10% ~ 94.49%의 정확도로 분류하였다.

구조물 내진설계를 위한 기초지반체계 동특성에 관한 연구 (Study on the Dynamic Characteristics of Foundation-Soil System for the Seismic Analysis of Structures)

  • 김용석
    • 한국지진공학회논문집
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    • 제1권3호
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    • pp.1-10
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    • 1997
  • 구조물 동적거동이 지반과 기초 특성에 따라 영향을 받는다는 것은 인식되었지만, 구조물 내진설계를 위한 설계규준이 지반의 본질적인 복잡성과 기초-지반체계에 대한 체계적인 연구부족으로 지반특성을 부분적으로만 반영하고 있어 불안전하거나 너무 안전한 결과를 초래한다. 이 연구에서는 전단파속도, 지반깊이, 기초 근입깊이 및 말뚝기초의 영향을 평가하여 구조물 내진해석을 위한 기초-지반체계의 운동학적 상호작용 영향을 고찰하였으며, 지반과 기초 특성을 고려한 합리적 내진해석을 위해 지반체계에 대한 수정된 분류기준을 제안하였다. 말뚝기초를 포함한 중형이나 대형 묻힌기초의 경우, 지초-지반체계의 운동학적 상호작용 영향을 고려하기 위해서는 기토밑 지반깊이를 최소한 60m 까지 고려해야하고, 말뚝유무에 관계없이 기초-지반체계의 회전운동도 구조물 내진해석에 포함되어야 한다.

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컴퓨터 디자인 기반 모노스키 버킷 사용에 따른 장애인 알파인 스키 선수의 운동학적 특성 변화 연구: 사례 연구 (Disabled Alpine Ski Athlete's Kinematic Characteristic Changes by Computer Aided Design Based Mono Ski Bucket: A Case Study)

  • 구도훈;은선덕;현보람;권효순
    • 한국운동역학회지
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    • 제24권4호
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    • pp.425-433
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    • 2014
  • The purpose of the study was to investigate the effect of CAD (Computer Aided Design) based alpine mono-ski bucket design on disabled ski athletes' kinematic characteristics. Two national team ski athletes with LW11 disabilities (Locomotion Winter Classification) category for sit ski participated in both pre and post experiment. Both of the subjects performed 3 trials of carved turn on a ski slope under two conditions. Where, subject "A" performed pre experiment with personal bucket and post experiment with the newly developed CAD based bucket whereas, Subject "B" as control subject performed both pre and post experiment with his personal bucket. For the experiment, 24 Infrared cameras were positioned on the ski slope which covered the path of the ski turn. Also, motion capture suit with reflective markers were worn by both subjects. In the result, decrement in medial/lateral displacement of COM, anterior/posterior displacement of COM, flexion/extension angle of trunk as well as velocity losing rate of COM was observed in subject "A" when using the newly developed CAD based bucket. In contrast, no larger effect on performance was observed when using personal buckets. In conclusion, the findings obtained from the study indicated effectiveness of newly developed CAD based bucket by reducing excessive movement of hip and trunk which is an important factor to perform an effective turn.

A Study on Obtaining Tree Data from Green Spaces in Parks Using Unmanned Aerial Vehicle Images: Focusing on Mureung Park in Chuncheon

  • Lee, Do-Hyung;Kil, Sung-Ho;Lee, Su-Been
    • 인간식물환경학회지
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    • 제24권4호
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    • pp.441-450
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    • 2021
  • Background and objective: The purpose of study is to analyze the three-dimensional (3D) structure by creating a 3D model for green spaces in a park using unmanned aerial vehicle (UAV) images. Methods: After producing a digital surface model (DSM) and a digital terrain model (DTM) using UAV images taken in Mureung Park in Chuncheon-si, we generated a digital tree height model (DHM). In addition, we used the mean shift algorithm to test the classification accuracy, and obtain accurate tree height and volume measures through field survey. Results: Most of the tree species planted in Mureung Park were Pinus koraiensis, followed by Pinus densiflora, and Zelkova serrata, and most of the shrubs planted were Rhododendron yedoense, followed by Buxus microphylla, and Spiraea prunifolia. The average height of trees measured at the site was 7.8 m, and the average height estimated by the model was 7.5 m, showing a difference of about 0.3 m. As a result of the t-test, there was no significant difference between height values of the field survey data and the model. The estimated green coverage and volume of the study site using the UAV were 5,019 m2 and 14,897 m3, respectively, and the green coverage and volume measured through the field survey were 6,339 m2 and 17,167 m3. It was analyzed that the green coverage showed a difference of about 21% and the volume showed a difference of about 13%. Conclusion: The UAV equipped with RTK (Real-Time Kinematic) and GNSS (Global Navigation Satellite System) modules used in this study could collect information on tree height, green coverage, and volume with relatively high accuracy within a short period of time. This could serve as an alternative to overcome the limitations of time and cost in previous field surveys using remote sensing techniques.

Possibility of Obtaining Lubricant Base Oil from Talakan Crude Oil Suitable for Exploitation in Extremely Cold Conditions in the Republic of Sakha (Yakutia)

  • Zhirkov, N.P.;Zakharova, S.S.;Sung, Zoo-One
    • Tribology and Lubricants
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    • 제31권1호
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    • pp.28-34
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    • 2015
  • This paper addresses the problems of using anti-freeze lubricants for different machines that must function at extremely low temperatures during winter operation in the Republic of Sakha (Yakutia). We discuss the possibility of obtaining anti-freeze base oils from Talakan crude oil, an area with major oil and gas deposits of the Republic of Sakha, and also provide the trade and technological classification of Talakan crude oil. We propose two different schemes for processing Talakan crude oil: the fuel scheme (obtaining light and heavy fractions as a fuel oil) and the base oil scheme (obtaining light fractions and base oils). We investigate the influence of pour point depressants on alkyl-methacrylate base on the low-temperature properties of the fractions obtained from Talakan crude oil and Korean base oils, and establish the optimal concentration of pour point depressants. We compare the properties of these fractions with the low-temperature properties of Korean base oils and find that the commercial oil "Ravenol 0W-40" provides optimistic results. We obtain oil with a pour point of minus $50^{\circ}C$ and a viscosity index greater than 100. The Design of Experiment was used to establish the optimum composition of the pour point depressants and the base oil S-8 to obtain lubricant oil with a kinematic viscosity of 17 cSt, viscosity index of 208, and a pour point of minus $64^{\circ}C$.

Deep neural network based seafloor sediment mapping using bathymetric features of MBES multifrequency

  • Khomsin;Mukhtasor;Suntoyo;Danar Guruh Pratomo
    • Ocean Systems Engineering
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    • 제14권2호
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    • pp.101-114
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    • 2024
  • Seafloor sediment mapping is an essential research topic in shallow coastal waters, especially in port development, benthic habitat mapping, and underwater communications. The seafloor sediments can be interpreted by collecting sediment samples directly in the field using a grab sampler or corer. Another method is optical, especially using underwater cameras and videos. Both methods each have weaknesses in terms of area coverage (mechanic) and accurate positioning (optic). The latest technology used to overcome it is the acoustic method (echosounder) with Global Navigation Satellite System (GNSS) Real Time Kinematic (RTK) positioning. Therefore, in this study will propose the classification of seafloor sediments in coastal waters using acoustic method that is Multibeam Echosounder (MBES) multi-frequency with five frequency (200 kHz, 250 kHz, 300 kHz, 350 kHz, and 400 kHz). In this study, the deep neural network (DNN) used the bathymetric multi frequency, bathymetric difference inters frequencies, and bathymetric features from 5 (five) frequencies as input layer and 4 (four) sediment types in 74 (seventy-four) sample sediment as output layer to make a seafloor sediment map. Results of sediment mapping using the DNN method show an overall accuracy of 71.6% (significant) and a kappa coefficient of 0.59 (moderate). The distribution of seafloor sediment in the study area is mainly silt (41.6%), followed by clayey sand (36.6%), sandy silt (14.2%), and silty sand (7.5%).