• 제목/요약/키워드: Representative human model

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한국인 앉은 자세에 대한 수직 진동 -응답특성의 실험적 연구 : (II) Mechanical Impedances (Experimental Investigation of the Response Characteristics of Korean -seated Subjects under Vertical Vibration: (II) Mechanical Impedances)

  • 정완섭;김영태;권휴상;홍동표
    • 한국소음진동공학회논문집
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    • 제13권9호
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    • pp.713-719
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    • 2003
  • This paper introduces attempts to obtain the ‘representative’ characteristics of the mechanical impedance of seated Korean subjects under vertical vibration. Individual responses of driving-point mechanical impedance obtained from forty one Korean subjects are illustrated. Four kinds of vibration levels and three different sitting postures are selected to collect the responses of each subject. Those individual responses are used to estimate the ‘mean’ mechanical impedance, which may be expected to be a representative model to Korean subjects. Several interesting features of the estimated mechanical impedance are suggested and compared to those of ISO/DIS 5982.

Past, Present, and Future of Brain Organoid Technology

  • Koo, Bonsang;Choi, Baekgyu;Park, Hoewon;Yoon, Ki-Jun
    • Molecules and Cells
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    • 제42권9호
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    • pp.617-627
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    • 2019
  • Brain organoids are an exciting new technology with the potential to significantly change our understanding of the development and disorders of the human brain. With step-by-step differentiation protocols, three-dimensional neural tissues are self-organized from pluripotent stem cells, and recapitulate the major millstones of human brain development in vitro. Recent studies have shown that brain organoids can mimic the spatiotemporal dynamicity of neurogenesis, the formation of regional neural circuitry, and the integration of glial cells into a neural network. This suggests that brain organoids could serve as a representative model system to study the human brain. In this review, we will overview the development of brain organoid technology, its current progress and applications, and future prospects of this technology.

점탄성 유체의 난류 해석을 위한 수정된 $k-{\varepsilon}$ 난류모델 개발 및 혈류역학에의 적용 (DEVELOPMIN OF A MODIFIED $k-{\varepsilon}$ TURBULENCE MODEL FOR VISCO-ELASTIC FLUID AND ITS APPLICATION TO HEMODYNAMICS)

  • 노경철;유홍선
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2010년 춘계학술대회논문집
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    • pp.214-220
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    • 2010
  • This article described that a high Reynolds number version of a turbulence model was modified by using drag reduction to analyze the turbulent flows of non-Newtonian fluid with visco-elastic viscosity and it was applied hemodynamics which was representative of visco-elastic fluid. The turbulence characteristics of visco-elastic fluid was expanded viscous sublayer region and buffer layer region by drag reduction phenomenon and also Newtonian turbulence models does not predict because viscosity was related with shear rate of fluid flow. Hence numerical simulation using a modified turbulence model was conducted under the same conditions that were applied to obtain the experiment results and previous turbulence models and then the numerical investigation of turbulent blood flow in the stenosed artery bifurcation under periodic acceleration of the human body.

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Real-world multimodal lifelog dataset for human behavior study

  • Chung, Seungeun;Jeong, Chi Yoon;Lim, Jeong Mook;Lim, Jiyoun;Noh, Kyoung Ju;Kim, Gague;Jeong, Hyuntae
    • ETRI Journal
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    • 제44권3호
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    • pp.426-437
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    • 2022
  • To understand the multilateral characteristics of human behavior and physiological markers related to physical, emotional, and environmental states, extensive lifelog data collection in a real-world environment is essential. Here, we propose a data collection method using multimodal mobile sensing and present a long-term dataset from 22 subjects and 616 days of experimental sessions. The dataset contains over 10 000 hours of data, including physiological, data such as photoplethysmography, electrodermal activity, and skin temperature in addition to the multivariate behavioral data. Furthermore, it consists of 10 372 user labels with emotional states and 590 days of sleep quality data. To demonstrate feasibility, human activity recognition was applied on the sensor data using a convolutional neural network-based deep learning model with 92.78% recognition accuracy. From the activity recognition result, we extracted the daily behavior pattern and discovered five representative models by applying spectral clustering. This demonstrates that the dataset contributed toward understanding human behavior using multimodal data accumulated throughout daily lives under natural conditions.

유한요소 해석을 통한 스포츠화의 런닝 시 착지충격 특성평가 (Evaluation of Landing Impact Characteristics of Sport Shoes in Running by finite Element Analysis)

  • 김성호;조진래;이시복;박승범
    • 한국운동역학회지
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    • 제19권2호
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    • pp.217-225
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    • 2009
  • 최근 들어 부강을 방지하고 경기력을 향상시킬 수 있는 스포츠화를 개발하기 위해 신체운동학과 생체역학을 반영한 연구가 전세계적으로 활발히 수행되고 있다. 하지만, 이러한 연구의 성골 여부는 스포츠화와 발의 동적 거동, 특히 착지 충격 특성 평가의 신뢰성에 절대적으로 좌우된다. 그 이유로는 코트 스포츠운동에 있어서 착지충격력이 예상치 못한 부상과 경기력의 주요한 요인이기 때문이다. 이 연구는 맨발과 대표적인 코트 스포츠화의 착지충격 특성을 평가하기 위해 유한요소 해석을 적용하였다. 사람의 발과 신발사이의 연계효과를 정확히 반영하기 위해 별도의 실험 데이터에 의존하지 않는 완전한 3차원 발-신발 FEM 모델을 생성하였다. 수치 시뮬레이션을 통해 FEM 모델의 신뢰성을 평가함과 동시에 여러 가지 스포츠화의 GRF, MIF 및 주파수 응답과 같은 착지충격 특성들을 분석하였다.

Linguistical approach with Automatic MBTI Identification Model based on Measuring Bioelectricity Patterns

  • Hyun-Tae Kim;Ye-Jin Jin;Hye-Jin Jeon;Janghwan Kim;R. Young Chul Kim
    • International journal of advanced smart convergence
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    • 제12권3호
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    • pp.200-210
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    • 2023
  • Until now, it is popular to use question-and-answer-based for human personality. The current inspection of representative personality types includes Myers-Briggs Type Indicator (MBTI) and job suitability evaluations. The problem of these inspection methods is influenced by the user's environment and psychological status during MBTI inspection. To solve this problem, we proposed MBTI Identification Model based on measuring bioelectricity patterns. We adapt traditional Korean medicine, the Eight Constitution, to this model. We develop an automatic MBTI identification algorithm that maps the Eight Constitution via biological current patterns to identify MBTI personality types. By utilizing the algorithm proposed in this research, it is anticipated that users will be able to measure MBTI more easily and accurately.

Selection of features and hidden Markov model parameters for English word recognition from Leap Motion air-writing trajectories

  • Deval Verma;Himanshu Agarwal;Amrish Kumar Aggarwal
    • ETRI Journal
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    • 제46권2호
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    • pp.250-262
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    • 2024
  • Air-writing recognition is relevant in areas such as natural human-computer interaction, augmented reality, and virtual reality. A trajectory is the most natural way to represent air writing. We analyze the recognition accuracy of words written in air considering five features, namely, writing direction, curvature, trajectory, orthocenter, and ellipsoid, as well as different parameters of a hidden Markov model classifier. Experiments were performed on two representative datasets, whose sample trajectories were collected using a Leap Motion Controller from a fingertip performing air writing. Dataset D1 contains 840 English words from 21 classes, and dataset D2 contains 1600 English words from 40 classes. A genetic algorithm was combined with a hidden Markov model classifier to obtain the best subset of features. Combination ftrajectory, orthocenter, writing direction, curvatureg provided the best feature set, achieving recognition accuracies on datasets D1 and D2 of 98.81% and 83.58%, respectively.

R를 활용한 인구변동요인 산정과 인구추계 시스템 개발 (Development of system of Population projection and driving variation on demography for Korea using R)

  • 오진호
    • 응용통계연구
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    • 제33권4호
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    • pp.421-437
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    • 2020
  • 본 논문은 최근에 널리 사용되고 있는 R 프로그램으로 출산율, 사망률, 국제이동률을 예측하고 이들 결과를 Leslie 행렬에 대입해 인구추계 산출하는 방법을 소개한다. 특히 Kaneko (2003)가 제안한 출산율의 일반화로그감마모형, Li 등 (2013)의 사망률 LC-ER 모형, Ramsay와 Silverman (2005)가 제안한 국제이동률의 함수적데이터모형을 시현할 수 있도록 하였다. 최근 R로 구현된 대표적인 인구추계 패키지로 demography, bayesPop가 소개되고 있으나, 이는 Human Mortality Database (HMD), Human Fertility Database (HFD)에 업로드된 자료에 한에서만 분석이 가능하고 기타 데이터를 적용하기 위해서는 자료 변경과 수정이 요구된다. 특히 우리나라의 경우 HMD에 단기 간의 자료로만 제공되어 있어 이 패키기를 적용하기에는 한계점이 있다. 이에 본 논문은 이런 실정과 한국의 저출산, 고령화, 내국인, 외국인 국제이동률 상이패턴을 반영할 수 있는 R 프로그램을 소개하고, 2117년까지의 인구추계를 도출하였다.

사상체질 판별을 위한 측면 얼굴 이미지에서의 특징 검출 (Side Face Features' Biometrics for Sasang Constitution)

  • 장천;이기정;황보택근
    • 인터넷정보학회논문지
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    • 제8권6호
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    • pp.155-167
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    • 2007
  • 사상의학에서는 사람을 네 종류로 구분하며, 한의사들은 종종 이 네 종류에 기반을 두어 특별한 건강 정보와 치료 방법을 제안한다. 얼굴의 특징 비율(표 1)은 사상체질을 판단하는데 있어서 매우 중요한 기준으로 사용되는데, 본 논문에서는 측면얼굴에서 특징 비율을 추출하기 위한 시스템을 제안하였다. 특징 비율을 얻기 위해서는 두 가지를 고려하여야 한다. 하나는 대표 특징들을 선택하는 것이고, 다른 하나는 측면 얼굴 이미지에서 효과적으로 관심 영역을 검출하고, 정확하게 특징 비율을 계산하는 것이다. 논 논문에서 제시한 시스템에서는 적응형 색상 모델을 사용하여 배경에서 측면 얼굴을 분리하였고, 관심 영역 검출을 위해서 기하 모델에 기반한 방법이 사용되었다. 또한 이미지 크기와 머리 포즈에 따른 이미지 변화에 의해서 야기되는 에러 분석을 제시하였다. 제시한 시스템의 성능을 평가하기 위하여 173명의 한국인 왼쪽 얼굴 사진을 이용하여 시스템을 테스트하였고, 정면 사진과 측면 사진을 함께 사용하였을 경우 정면 사진만을 사용한 경우보다 17.99%의 성능 향상을 나타내었다.

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Psychosocial Features Affecting Suicidal Ideation Among Human Immunodeficiency Virus-infected Older Adults

  • Kang, Cho Ryok;Yang, Sook Ja
    • 한국보건간호학회지
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    • 제37권1호
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    • pp.136-146
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    • 2023
  • This cross-sectional design study was undertaken to determine the factors associated with suicidal ideation in human immunodeficiency virus (HIV)-infected older adults. Data from a city-wide representative sample collected by the Seoul Metropolitan Government were used. The cross-sectional survey was conducted between February and March 2013. Participants selected and included in the analysis were HIV-infected adults living in Seoul, and aged 50 years and older. The overall adjusted model showed that being unemployed (adjusted odds ratio [aOR], 3.34; 95% confidence interval [CI], 1.16-9.57), a history of depression treatment (aOR, 4.61; 95% CI, 1.02-20.66), perceived belongingness (aOR, 0.63; 95% CI, 0.41-0.99), and psychological functioning (aOR, 0.85; 95% CI, 0.73-0.99) were significantly related to suicidal ideation. Psychosocial features were found to be strongly associated with suicidal ideation among HIV-infected older adults. The findings could be useful for HIV nursing consultants to identify HIV-infected older adults who are vulnerable to suicidal ideation. Comprehensive mental health services should be provided as coping resources for HIV-infected older adults who have suicidal ideation.