• Title/Summary/Keyword: Human engineering

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Dynamic Changes depending on Adaptation to Assistive Joint Stiffness in Metatarsophalangeal Joint during Human Running (인체주행 시 중족지절 관절 보조 강성에의 적응에 따른 동역학적 변화 고찰)

  • Keonyoung Oh
    • Journal of Biomedical Engineering Research
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    • v.45 no.2
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    • pp.57-65
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    • 2024
  • Recently, several studies have been conducted to lower the cost of transport of human by adding external joint stiffness elements. However, it has not been clearly elucidated whether adaptation time is required for human subjects to adapt to the added external joint stiffness. In this study, carbon plates in the form of shoe midsoles were added to the metatarsophalangeal joint, and the lower limb joint torque and mechanical energy consumption were compared before and after a total of 5 sessions (2.5 weeks) of running. A total of 11 young healthy participants exhibited higher elastic energy storage in carbon plates in the fifth session compared to the first session, and lower power in the ankle joint. This suggests that a single training session may be insufficient to validate the efficiency effect of added joint stiffness, and the human body seems to increase the elastic energy stored in the assistive joint stiffness and its reutilization.

X-Optimization for Language Transfer (대규모언어모델의 언어전이를 위한 X-Optimization 제안)

  • Jungseob Lee;Hyeonseok Moon;Taemin Lee;Kinam Park;Heuiseok Lim
    • Annual Conference on Human and Language Technology
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    • 2024.10a
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    • pp.89-93
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    • 2024
  • 본 논문에서는 사전학습된 대규모언어모델인 Llama-2 모델을 한국어, 영어 교차 언어 (Cross-lingual) 모델로 효율적으로 전이하는 선호도 최적화 (Preference Optimization) 기법인 X-Opt(Cross-Optimization)를 제안한다. 제안된 기법은 영어에서 1600개의 시드 데이터만을 사용하여 교차 언어전이 환경에서 한국어의 성능을 큰 폭으로 향상시키며, Supervised Fine-tuning 방법과 DPO, ORPO로 학습된 모델을 큰 차이로 능가하는 것으로 나타났다. 또한, 자연어 처리 벤치마크에서도 SFT 모델 대비 정렬 세금(alignment tax)의 영향을 거의 받지 않는 것으로 나타났다. 제안하는 방법은 참조 모델 없이 보상을 최적화하고 소수의 영어 데이터를 사용한다는 점에서, 낮은 컴퓨팅 환경과 데이터 구축 비용 없이 English-centic 모델을 cross-lingual 모델로 전이할 수 있는 효율적인 방법이다.

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Research on Ontology-based Task Adaptability Improvement for Digital Human Model (온톨로지 기반 디지털 휴먼모델의 작업 적응성 제고 방안 연구)

  • Kang, Su-Ho;Sohn, My-E
    • Korean Journal of Computational Design and Engineering
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    • v.17 no.2
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    • pp.79-90
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    • 2012
  • In digital virtual manufacturing simulation, Digital Human widely used to optimal workplace design, enhancing worker safety in the workplace, and improving product quality. However, the case of ergonomics simulation solutions to support digital human modeling, Optimal DHM (Digital Human Model) data needed to develop and perform DHM will collect information related to the production process. So simulation developer has burden of collecting information. In this study, to overcome the limitations of existing solutions, we proposed the ADAGIO(Automated Digital humAn model development for General assembly usIng Ontology) framework. The ADAGIO framework was developed for DHM ontology to support optimal deployment of digital virtual environment and in order to ensure consistency of simulation components that are required for simulation modeling was made of a library.

Study on redundancy resolution algorithm of humanoid

  • Yoo, Dong-Su;So, Byung-Rok;Choi, Jae-Yeon;Yi, Byung-Ju;Kim, Whee-Kuk
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2759-2764
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    • 2003
  • Humans usually employ more joints than they actually need, and thus they can be categorized as a kinematically redundant system. Therefore, the behavior of the human body can be analyzed by several redundancy resolution algorithms. Different from typical industrial robots that are fixed to the ground, the COG/ZMP condition should be taken into account in the human body motion in order not to fall down. Thus a COG/ZMP stability index is employed as a measure of stability. Kinematic redundancy inherent in the human body can be exploited to satisfy the COG/ZMP condition. Simulation result shows that the COG/ZMP condition can be satisfied by exploiting the null space motion of the kinematically redundant human body model.

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Generating 3-D Models of Human Motions by Motion Capture

  • Yamaguchi, I.;Tou, K.;Tan, J.K.;Ishikawa, S.;Naito, T.;Yokota, M.
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1629-1632
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    • 2003
  • A technique is presented for generating a compound human motion from its primitive motions obtained by a motion capture system. Some human fundamental motions are modeled in a 3-D way and registered as primitive motions. Because the factorization method is used for the motion capture, calibration of video cameras and connection of the motion in the direction of time is both unnecessary. Employing these motions, various compound human motions are generated by connecting the motions after having applied rotation and parallel transformation to them. Linear interpolation is done at the discontinuous boundary between primitive motions and smooth connection is achieved. Experimental results show satisfactory performance of the proposed technique. The technique may contribute to producing various complicated human motions without much effort using a strict motion capture system.

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WAVELET-BASED DIGITAL WATERMARKING USING HUMAN VISUAL SYSTEM FOR COPYRIGHT PROTECTION

  • Sombun, Anuwat;Pinngern, Quen;Kimpan, Chom
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.800-803
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    • 2004
  • This paper presents a wavelet-based digital watermarking technique for still images. The digital watermarking considering human visual system (HVS) to increase the robustness and perceptual invisibility of digital watermark. The watermarking embedding is modified discrete wavelet transform (DWT) coefficients of the subbands of the images. The human visual system is number of factors that effect the noise sensitivity of human eyes that is considered to increase the robustness and perceptual invisibility of digital watermark. The watermark detection is blind watermark ( original image is not required ). Experimental results successful against attacks by image processing such as add noise, cropping, filtering, JPEG and JPEG2000 compression.

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Automatic EEG and Artifact Classification Using Neural Network (신경망을 사용한 뇌파 및 Artifact 자동 분류)

  • Ahn, Chang-Beom;Lee, Taek-Yong;Lee, Sung-Hoon
    • Journal of Biomedical Engineering Research
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    • v.16 no.2
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    • pp.157-166
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    • 1995
  • The Electroencephalogram (EEG) and evoked potential (EP) t;ave widely been used for study of brain functions. The EEG and EP signals acquired from multi-channel electrodes placed on the head surface are often interfered by other relatively large physiological signals such as electromyogram (EMG) or electroculogram (EOG). Since these artifact-affected EEG signals degrade EEG mapping, the removal of the artifact-affected EEGs is one of the key elements in neuro-functional mapping. Conventionally this task has been carried out by human experts spending lots of examination time. In this paper a neural-network based classification is proposed to replace or to reduce human expert's efforts and time. From experiments, the neural-network based classification performs as good as human experts : variation of decisions between the neural network and human expert appears even smaller than that between human experts.

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Production and Purification of Soluble Recombinant Human Lymphotoxin in Escherichia coli

  • Choi, Yoon-Ho;Na, Doe-Sun;Pan, Jae-Gu;Park, Seung-Kiel;Yoo, Hyang-Sook;Kang, Kook-Hee;Sung, Moon-Hee
    • Journal of Microbiology and Biotechnology
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    • v.2 no.1
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    • pp.21-25
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    • 1992
  • Human lymphotoxin (LT) was produced in E. coli as a soluble protein. The level of recombinant human LT production was about 4% of the total souble proteins of E. coli extracts. Recominant human LT was purified to apparant homogeneity by a simple procedure utilizing FPLC on Mono Q and Mono S columns. The specific activity of the purified LT was $10\times10^7\;units/mg$.

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A study on Identification of EMG Patterns and Analysis of Dynamic Characteristics of Human Arm Movements (팔 운동 근전신호의 식별과 동특성 해석에 관한 연구)

  • Son, Jae-Hyun;Hong, Sung-Woo;Lee, Kwang-Suk;Nam, Moon-Hyun
    • Proceedings of the KIEE Conference
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    • 1991.07a
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    • pp.799-804
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    • 1991
  • This paper is concerned with the artificial control of prosthetic devices using the electromyographic(EMG) activities of biceps and triceps in human subject during isometric contraction adjustments at the elbow. And it was analysised about recognition of EMG signals and dynamic characteristics at arm movements of human. For this study the error signal of autoregressive(AR) model were used to discriminate arm movement patterns of human. Interaction of dynamic characteristics (Position, Velocity, Acceleration) and EMG of biceps and triceps at arm movements of human was measured.

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A Study on Man-Machine System in Human Factors Engineering (인간-기계시스템에 관한 고찰)

  • 이준영
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.5 no.6
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    • pp.33-39
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    • 1982
  • In the design of some systems, the circumstance may require a determination as to whether a giver information input or processing function can best be performed by an individual or by some physical components of a system. In the consideration of human factors, also, in the design of equipment, facilities, and other physical items that people use, there are certain basic stages or processes that typically have to be carried out. The main purpose of this paper is study fundamental man-machine system assumptions in Human Factors Engineering. Therefore, this paper will deal with certain human factors that may be relevant to the design consideration that relate to human information - receiving and processing functions.

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