• Title/Summary/Keyword: 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
    • The Bulletin of The Korean Astronomical Society
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    • v.46 no.2
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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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    • 2003.11a
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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.
    • The Academic Congress of Korean Shoulder and Elbow Society
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    • 2009.03a
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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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Quantitative Golf Swing Analysis based on Kinematic Mining Approach (데이터마이닝을 활용한 골프 스윙 최적화 분석)

  • Lee, Kyu Jong;Ryou, Okhyun;Kang, Jihoon
    • Korean Journal of Applied Biomechanics
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    • v.31 no.2
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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

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

  • Cho, Jaehoon;Bong, wonwoo;Kim, donghun;Choi, Hyeonki
    • Journal of Biomedical Engineering Research
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    • v.38 no.3
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    • pp.129-136
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    • 2017
  • The exoskeleton robot is a technology developed to be used in various fields such as military, industry and medical treatment. The exoskeleton robot works by sensing the movement of the wearer. By recognizing the wearer's daily activities, the exoskeleton robot can assist the wearer quickly and efficiently utilize the system. In this study, LDA, QDA, and kNN are used to classify gait types through kinetic data obtained from subjects. Walking was selected from general walking and stair walking which are mainly performed in daily life. Seven IMUs sensors were attached to the subject at the predetermined positions to measure kinematic factors. As a result, LDA was classified as 78.42%, QDA as 86.16%, and kNN as 87.10% ~ 94.49% according to the value of k.

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

  • 김용석
    • Journal of the Earthquake Engineering Society of Korea
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    • v.1 no.3
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    • pp.1-10
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    • 1997
  • It is recognized that the dynamic of a structure is affected by the characteristics of the soil layer and foundation. However the design codes for the seismic design of structures are partially reflecting the caharcteristics of the soil layers due to the inherent complexity of them and the lack of systematic study results for the foundation-soil system, and leading to unconservative or too conservative results. In this study, the kinematic interaction effects of foundation-soil system was investigated for the seismic analyses of structures estimating the effects of the shear wave velocity, the depth of the soil layer, the embedment of a foundation and pile foundation, and the modified classification criteria of soil layers are proposed for the reasonable seismic analyses of structures considering the characteristics of soil layers and foundations. For the embedded medium or large foundations (including pile foundations), at least 60m soil layer below the foundation should be considered for the seismic analyses of structures to tate into account the kinematic interaction effects of the foundation-soil system, and also the rocking motion of foundation-soil system with or without piles should be included in the seismic analyses of structures.

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

  • Koo, Dohoon;Eun, Seondeok;Hyun, Boram;Kweon, Hyosun
    • Korean Journal of Applied Biomechanics
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    • v.24 no.4
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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
    • Journal of People, Plants, and Environment
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    • v.24 no.4
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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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    • v.31 no.1
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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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    • v.14 no.2
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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%).