• 제목/요약/키워드: model of body

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다물체 동역학 모델을 이용한 세탁기의 동적 해석 (Dynamic Analysis of a Washing Machine Using a Multi-body Dynamic Model)

  • 김태진;김병진;김승오;민제홍;정진태
    • 한국소음진동공학회논문집
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    • 제22권1호
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    • pp.88-93
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    • 2012
  • In this study, a multi-body dynamic model is developed for a washing machine and the dynamic behaviors of the machine are investigated. The mechanical properties such as spring constants and damping factors are measured from vibrational experiments. With these experimentally obtained mechanical properties, a computer simulation model for the washing machine is established by using a commercial multi-body dynamics software DAFUL. In order to verify the developed simulation model, the dynamic responses computed from simulation are compared to the responses measured from vibration experiments. In addition, the effects of the stiffness and damping factors on the dynamic responses are also analyzed.

Wobbling Mass를 고려한 인체 진동 모텔의 개발 (Development of Human Body Vibration Model Including Wobbling Mass)

  • 김영은;백광현;최준희
    • 한국자동차공학회논문집
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    • 제10권2호
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    • pp.193-200
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    • 2002
  • Simple spring-damper-mass models have been widely used to investigate whole-body vortical biodynamic response characteristics of the seated vehicle driver. Most previous models have not considered the effect of wobbling masses; i.e. heart, lungs, liver, intestine, etc. In this study, 4 -DOF seated driver model including one non-rigid mass representing wobbling visceral mass, 5-DOF model including intestine, and 10-DOF model including five lumbar vertebral masses were proposed. The model parameters were identified by a combinatorial optimization technique. simulated annealing method. The objective function was chosen as the sum of error between model response of seat-to-head transmissibility and driving point mechanical impedance and those of experimental data for subjects seated erect without backrest support. The model response showed a good agreement with the experimental response characteristics. Using a 10-DOF model, calculated resonance frequency of lumbar spine at 4Hz was matched well with experimental results of Panjabi et al.

3차원 인체 형상을 이용한 실버 여성 패션 산업용 인대 모형 개발 (Development of Dress Forms for the Aged Women Based on Their Body Shapes Applying 3D Body Scan Data)

  • 김수아;최혜선
    • 복식문화연구
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    • 제18권1호
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    • pp.80-92
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    • 2010
  • This research aims at developing the dress form for the aged women based on their body shapes using the three-dimensional body scan data with the body shape categorization(according to the previous research). To accomplish this goal, the sample group of representative body shape of the 50% of median was selected by using the high frequency proportion range of each type of body shape of the aged women, and the sample group of representative body shape of each type was averaged in a three-dimensional way by using the morphing method of a three-dimension reverse-engineered software. RP in the form of torso was produced based on the shape data of the final model and the data was formed into an actual object, by which an aged women's dress form model was drawn out. The differences of the girth of the bust, hip and waist between the developed dress form model and the existing dress form model were examined. The result showed that the developed dress form had a bigger size of waist girth than that of bust and hip girth, compared to the existing dress form, which shows that it reflects the aged women's tendency of abdomen obesity, so it's expected to be more proper for the human bodies of the targeted age group than the existing dress form. These research results may help design the clothing suitable for the body shape of the aged women so that their demand for the clothing of good fit will be satisfied in the future.

그림모델과 파티클필터를 이용한 인간 정면 상반신 포즈 인식 (Pictorial Model of Upper Body based Pose Recognition and Particle Filter Tracking)

  • 오치민;;김민욱;이칠우
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2009년도 학술대회
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    • pp.186-192
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    • 2009
  • 본 논문은 비전을 이용한 인간 정면 상반신 포즈를 인식 방법에 대해서 기술한다. 일반적으로 HCI(Human Computer Interaction)와 HRI(Human Robot Interaction)에서는 인간이 정면을 바라볼 때 얼굴, 손짓으로 의사소통 하는 경우가 많기 때문에 본 논문에서는 인식의 범위를 인간의 정면 그리고 상반신에 대해서만 한정한다. 인간 포즈인식의 주요 두 가지 어려움은 첫째 인간은 다양한 관절로 이루어진 객체이기 때문에 포즈의 자유도가 높은 문제점 때문에 모델링이 어렵다는 것이다. 둘째는 모델링된 정보와 영상과의 매칭이 어려운 것이다. 이를 해결하기 위해 본 논문에서는 모델링이 쉬운 그림모델(Pictorial Model)을 이용해 인체를 다수 사각형 파트로 모델링 하였고 이를 이용해 주요한 상반신 포즈를 DB화 해 인식한다. DB 포즈로 표현되지 못하는 세부포즈는 인식된 주요 포즈 파라미터로 부터 파티클필터를 이용해 예측한 다수 파티클로부터 가장 높은 사후분포를 갖는 파티클을 찾아 주요 포즈를 업데이트하여 결정한다. 따라서 주요한 포즈 인식과 이를 기반으로 한 세부 포즈를 추적하는 두 단계를 통해 인체 정면 상반신 포즈를 정확하게 인식 할 수 있다.

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A hardening model considering grain size effect for ion-irradiated polycrystals under nanoindentation

  • Liu, Kai;Long, Xiangyun;Li, Bochuan;Xiao, Xiazi;Jiang, Chao
    • Nuclear Engineering and Technology
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    • 제53권9호
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    • pp.2960-2967
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    • 2021
  • In this work, a new hardening model is proposed for the depth-dependent hardness of ion-irradiated polycrystals with obvious grain size effect. Dominant hardening mechanisms are addressed in the model, including the contribution of dislocations, irradiation-induced defects and grain boundaries. Two versions of the hardening model are compared, including the linear and square superposition models. A succinct parameter calibration method is modified to parametrize the models based on experimentally obtained hardness vs. indentation depth curves. It is noticed that both models can well characterize the experimental data of unirradiated polycrystals; whereas, the square superposition model performs better for ion-irradiated materials, therefore, the square superposition model is recommended. In addition, the new model separates the grain size effect from the dislocation hardening contribution, which makes the physical meaning of fitted parameters more rational when compared with existing hardness analysis models.

인터넷 의류 판매용 가상피팅모델의 개발을 위한 여성의 신체치수 인지에 관한 연구 (A study on women's perceived body size for developing virtual fitting model in e-retailing of apparel)

  • 천종숙;박진순
    • 감성과학
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    • 제6권1호
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    • pp.17-26
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    • 2003
  • 의류상품의 전자상거래 시장이 확대됨에 따라 인터넷쇼핑에서 의류를 구매할 때 선택한 의류를 착용한 자신의 모습을 확인하는 도구로 가상피팅모델이 제공되고 있다. 본 연구에서는 가상피팅모델 구축 시 사용자의 주관적인 체형인식을 반영할 필요가 있는지 알아보기 위하여 여성의 신체 치수나 체형에 대한 인식이 어떻게 다른지 연구하였다. 의류학 전공 여자대학원 50명을 대상으로 실험한 본 연구의 결과는 인체부위에 대한 개인의 치수인식이 체형에 따라 다름을 보여준다. 연구자들은 인터넷 의류 쇼핑용 가상피팅모델을 구축하기 위해서는 사용자 신체치수뿐만 아니라 사용자가 인지하는 자신의 체형특성을 반영할 필요가 있다고 결론지었다 특히 배가 많이 나온 체형도 자신이 실제보다 배가 나오지 않은 체형으로 생각하는 경향이 있으므로 여성이용자에게 거부되지 않는 가상피팅모델을 구축하기 위해서는 지나치게 극단적인 체형의 가상피팅모델의 구축은 신중하게 고려해야함을 시사하였다.

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Measured aerodynamic coefficients of without and with spiked blunt body at Mach 6

  • Kalimuthu, R.;Mehta, R.C.;Rathakrishnan, E.
    • Advances in aircraft and spacecraft science
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    • 제6권3호
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    • pp.225-238
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    • 2019
  • A spike attached to a blunt nosed body significantly alters its flow field and influences the aerodynamic coefficients at hypersonic speed. The basic body is an axisymmetric, with a hemisphere nose followed by a cylindrical portion. Five different types of spikes, namely, conical aerospike, hemisphere aerospike, flat-face aerospike, hemisphere aerodisk and flat-face aerodisk are attached to the basic body in order to assess the aerodynamic characteristic. The spiked blunt body without the aerospike or aerodisk has been set to be a basic model. The coefficients of drag, lift and pitching moment were measured with and without blunt spike body for the length-to-diameter ratio (L/D) of 0.5, 1.0, 1.5 and 2.0, at Mach 6 and angle of attack up to 8 degrees using a strain gauge balance. The measured forces and moment data are employed to determine the relative performance of the aerodynamic with respect to the basic model. A maximum of 77 percent drag reduction was achieved with hemisphere aerospike of L/D = 2.0. The comparison of aerodynamic coefficients between the basic model and the spiked blunt body reveals that the aerodynamic drag and pitching moment coefficients decrease with increasing the L/D ratio and angle of attack but the lift coefficient has increasing characteristics.

Estimation of Genetic Parameters for Body Weight in Chinese Simmental Cattle Using Random Regression Model

  • Yang, R.Q.;Ren, H.Y.;Xu, S.Z.;Pan, Y.C.
    • Asian-Australasian Journal of Animal Sciences
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    • 제17권7호
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    • pp.914-918
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    • 2004
  • The random regression model methodology was applied into the estimation of genetic parameters for body weights in Chinese Simmental cattle to replace the traditional multiple trait models. The variance components were estimated using Gibbs sampling procedure on Bayesion theory. The data were extracted for Chinese Simmental cattle born during 1980 to 2000 from 6 national breeding farms, where records from 3 months to 36 months were only used in this study. A 3 orders Legendre polynomial was defined as the submodel to describe the general law of that body weight changing with months of age in population. The heritabilities of body weights from 3 months to 36 months varied between 0.31 and 0.48, where the heritabilities from 3 months to 12 months slightly decreased with months of age but ones from 13 months to 36 months increased with months of age. Specially, the heritabilities at eighteenth and twenty-fourth month of age were 0.33 and 0.36, respectively, which were slightly greater than 0.30 and 0.31 from multiple trait models. In addition, the genetic and phenotypic correlations between body weights at different month ages were also obtained using regression model.

A Classification Model for Predicting the Injured Body Part in Construction Accidents in Korea

  • Lim, Jiseon;Cho, Sungjin;Kang, Sanghyeok
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.230-237
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    • 2022
  • It is difficult to predict industrial accidents in the construction industry because many accident factors, such as human-related factors and environment-related factors, affect the accidents. Many studies have analyzed the severity of injuries and types of accidents; however, there were few studies on the prediction of injured body parts. This study aims to develop a classification model to predict the part of the injured body based on accident-related factors. Construction accident cases from June 2018 to July 2021 provided by the Korea Construction Safety Management Integrated Information were collected through web crawling and then preprocessed. A naïve Bayes classifier, one of the supervised learning algorithms, was employed to construct a classification model of the injured body part, which has four categories: 1) torso, 2) upper extremity, 3) head, and 4) lower extremity. The predictor variables are accident type, type of work, facility type, injury source, and activity type. As a result, the average accuracy for each injured body part was 50.4%. The accuracy of the upper extremity and lower extremity was relatively higher than the cases of the torso and head. Unlike the other classifications, such as spam mail filtering, a naïve Bayes classifier does not provide a good classification performance in construction accidents. The reasons are discussed in the study. Based on the results of this study, more detailed guidelines for construction safety management can be provided, which help establish safety measures at the construction site.

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Estimation of Additive and Dominance Genetic Variances in Line Breeding Swine

  • Ishida, T.;Kuroki, T.;Harada, H.;Fukuhara, R.
    • Asian-Australasian Journal of Animal Sciences
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    • 제14권1호
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    • pp.1-6
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    • 2001
  • Additive and dominance genetic variances were estimated for purebred Landrace selected with line breeding from 1989 to 1995 at Miyazaki Livestock Experiment Station, Kawaminami Branch. Ten body measurements, two reproductive traits and fifteen carcass traits were analyzed with single-trait mixed model analysis. The estimates of narrow-sense heritabilities by additive model were in the range of 0.07 to 0.46 for body measurements, 0.05 to 0.14 for reproductive traits, and 0.05 to 0.68 for carcass traits. The additive model tended to slightly overestimate the narrow-sense heritabilities as compared to the additive and dominance model. The proportion of the dominance variance to total genetic variance ranged from 0.11 to 0.91 for body measurements, 0.00 to 0.65 for reproductive traits, and 0.00 to 0.86 for carcass traits. Large differences among traits were found in the ratio of dominance to total genetic variance. These results suggested that dominance effect would affect the expression of all ten body measurements, one reproductive trait, and nine carcass traits. It is justified to consider the dominance effects in genetic evaluation of the selected lines for those traits.