• 한국소음진동공학회논문집
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• 제18권9호
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• pp.905-912
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• 2008

Notion sickness is well known to be caused by long time exposure to the very low frequency motion in the multiple axes of human body Since the vestibular system for the perception of low frequency motion is located in the head, accurate measurement of 6 degree of freedom head motion is of great importance. In this study, the measurement system consisting of a safety helmet and 9 translational accelerometers was constructed for the estimation of 3 translational and 3 rotational motions of human head. Since estimation errors of 3 rotational components can be significantly magnified even by small offset of the sensitivity axis from the geometric center of an accelerometer, accurate measurement of sensitivity axis must be preceded. The method for accurate estimation of the offset was proposed, and the effect of offset on the estimation of angular acceleration was investigated.

• 방송공학회논문지
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• 제20권2호
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• pp.238-247
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• 2015

본 논문은 영상 신호의 방향을 고려하여 기존의 multiband energy scaling 방법의 문제점을 보완하면서 human visual system(HVS)에 적합한 영상 local contrast 향상 방법을 개발하였다. 기존의 multiband energy scaling 방법은 신호 방향에 대한 고려 없이 화질을 향상시켜 ringing artifact가 발생하였으나 본 논문에서는 block gradient를 사용하여 신호의 방향을 측정하고 측정된 신호 방향에 따라 주파수 신호를 향상시켜 ringing artifact의 발생 없이 화질을 향상시켰다. 또한 본 논문은 human visual system(HVS)은 각 신호의 값 하나하나 보다는 각 신호가 가지는 주파수에 성분에 민감하게 반응한다는 것을 이용하여 주파수 성분에 대한 인간 시각의 민감도를 모델링한 contrast sensitivity function(CSF)에 따라 영상의 화질을 향상시켰다. 결국 본 논문에서 제안하는 방법은 신호의 특성과 인간 시각의 특성을 모두 고려하여 영상의 화질을 향상시키기 때문에 기존의 화질 향상 방법들에 비해 영상 신호와 인간 시각 특성에 더욱 적합하게 화질을 향상시킬 수 있다.

• Journal of information and communication convergence engineering
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• 제2권1호
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• pp.32-35
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• 2004

Human ability to perceive colors is a very subjective matter. The task of measuring and analyzing appropriate colors from colored images, which matches human sensitivity for perceiving colors, has been a challenge to the research community. In this paper we propose a novel approach, which involves the use of fuzzy logic and reasoning to analyze the RGB color intensities extracted from sensory inputs to understand human sensitivity for various colors. Based on this approach, an intelligent system has been built to predict the subject's personality. The results of experiments conducted with this system are discussed in the paper.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국제학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
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• pp.764-769
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• 1988

In this paper the failure possibility and the error possibility are used to represent reliability of a technical component and that of a human operator, respectively. The failure possibility and the error possibility are fuzzy sets on the interval [0,1]. In a man-machine system, reliability of the technical component and that of the human operator are usually affected by many factors, e.g., the environment in which a machine is operated, psychological stress of the human operator, etc. The possibility is derived from not only the failure or the error rate but also estimates of these factors. The fuzzy reasoning plays an important role in the derivation. The reliability analysis is performed by the use of the possibility obtained by the present method. Moreover this paper discusses the sensitivity analysis which evaluates what extent the change of the estimation of each factor has an influence on reliability of a man-machine system. The important factors to be ameliorated are shown through the sensitivity analysis.

• 센서학회지
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• 제31권3호
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• pp.145-150
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• 2022

The importance of flexible polymer-based pressure sensors is growing in fields like healthcare monitoring, tactile recognition, gesture recognition, human-machine interface, and robot skin. In particular, health monitoring and tactile devices require high sensor sensitivity. Researchers have worked on sensor material and structure to achieve high sensitivity. A simple and effective method has been to employ three-dimensional pressure sensors. Three-dimensional (3D) structures dramatically increase sensor sensitivity by achieving larger local deformations for the same pressure. In this paper, the performance, manufacturing method, material, and structure of high-sensitivity flexible pressure sensors based on 3D structures, are reviewed.

• 센서학회지
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• 제31권6호
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• pp.423-427
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• 2022

A pressure sensor that mimics the sensing ability of human skin has emerged as high-profile technology because it shows remarkable applications in numerous fields such as robotics, human health monitoring, and artificial prosthetics. Whereas recent pressure sensors have achieved high sensitivity similar to that of human skin, they still show limited detection bandwidth. Moreover, once these e-skin are fabricated, their sensitivity and stiffness are fixed; therefore, they can be used for only limited applications. Our study proposes a new adaptive pressure sensor built with uniform gallium microdroplet-elastomer composite. Based on the phase transition of gallium microdroplets, the proposed sensor undergoes mode transformation, enabling it to have a higher sensitivity and wider detection bandwidth compared with those of human skin. In addition, we succeeded in extending a single adaptive pressure sensor to sensor arrays based on its high uniformity, reproducibility, and large-scale manufacturability. Finally, we designed an adaptive e-skin with the sensor array and demonstrated its applications on health monitoring tasks including blood pulse and body weight measurements.

• 방송공학회논문지
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• 제23권2호
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• pp.206-217
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• 2018

본 논문은 영상 신호의 방향을 고려하여 기존의 multiband energy scaling 방법의 문제점을 보완하면서 human visual system(HVS)에 적합한 영상 local contrast 향상 방법을 개발하였다. 기존의 multiband energy scaling 방법은 신호 방향에 대한 고려 없이 화질을 향상시켜 ringing artifact가 발생하였으나 본 논문에서는 block gradient를 사용하여 신호의 방향을 측정하고 측정된 신호 방향에 따라 주파수 신호를 향상시켜 ringing artifact의 발생 없이 화질을 향상시켰다. 또한 본 논문은 human visual system(HVS)은 각 신호의 값 하나하나 보다는 각 신호가 가지는 주파수에 성분에 민감하게 반응한다는 것을 이용하여 주파수 성분에 대한 인간 시각의 민감도를 모델링한 contrast sensitivity function(CSF)에 따라 영상의 화질을 향상시켰다. 결국 본 논문에서 제안하는 방법은 신호의 특성과 인간 시각의 특성을 모두 고려하여 영상의 화질을 향상시키기 때문에 기존의 화질 향상 방법들에 비해 영상 신호와 인간 시각 특성에 더욱 적합하게 화질을 향상시킬 수 있다.

• Biomaterials and Biomechanics in Bioengineering
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• 제3권1호
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• pp.47-57
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• 2016

Results from multiple high profile experiments on the parameters influencing the impacts that cause skull fractures to the frontal, temporal, and parietal bones were gathered and analyzed. The location of the impact as a binary function of frontal or lateral strike, the velocity, the striking area of the impactor, and the force needed to cause skull fracture in each experiment were subjected to statistical analysis using the JMP statistical software pack. A novel neural network model predicting skull fracture threshold was developed with a high statistical correlation ($R^2=0.978$) and presented in this text. Despite variation within individual studies, the equation herein proposes a 3 kN greater resistance to fracture for the frontal bone when compared to the temporoparietal bones. Additionally, impacts with low velocities (<4.1 m/s) were more prone to cause fracture in the lateral regions of the skull when compared to similar velocity frontal impacts. Conversely, higher velocity impacts (>4.1 m/s) showed a greater frontal sensitivity.

• Nuclear Engineering and Technology
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• 제52권9호
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• pp.1983-1989
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• 2020

The human reliability analysis is a method by which, in general terms, the human impact to the safety and risk of a nuclear power plant operation can be modelled, quantified and analysed. It is an indispensable element of the PSA process within the nuclear industry nowadays. The paper herein presents a sensitivity study of the human reliability analysis performed on a real nuclear power plant-specific probabilistic safety assessment model. The analysis is performed on a pre-selected set of post-initiator operator actions. The purpose of the study is to investigate the impact of these operator actions on the plant risk by altering their corresponding human error probabilities in a wide spectrum. The results direct the fact that the future effort should be focused on maintaining the current human reliability level, i.e. not letting it worsen, rather than improving it.

• 한국정보통신학회논문지
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• 제16권4호
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• pp.721-729
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• 2012

본 논문에서는 인간의 감성을 멀티모달 환경에 기반하여 인식하여 감성지수에 따라 조명의 색을 조절하는 감성조명 시스템을 구현하였다. 감성조명을 위하여 사용된 LED 조명은 친 환경적이며 고효율 및 긴 수명을 가지고 있다. 특히 LED 조명은 단일 조명구로도 다양한 색 표현이 가능한 장점을 가지고 있다. 인간의 감성을 보다 정확하게 판별하기 위하여 사용자의 얼굴 영상 정보와 및 각성 상태 정보를 동시에 사용하여 멀티모달에 기반된 감성지수를 산출하였다. 실험을 통하여 LED 조명 색감이 사용자의 감성지수에 따라 변화 되므로 기존의 조명들에 비하여 인간 친화적인 조명시스템을 구축함을 보인다.