• Journal of electromagnetic engineering and science
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• 제10권4호
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• pp.250-255
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• 2010

This paper presents a non-contact measurement method of vital signal by the use of multiple-input multiple-output (MIMO) bio-radar system, configured with two antennas that are separated by a certain distance. The direction of arrival (DOA) estimation algorithm for coherent sources was applied to detect vital signals coming from different spatial angles. The proposed MIMO bio-radar system was composed of two identical transceivers sharing single VCO with a PLL. In order to verify the performance of the system, the DOA estimation experiment was completed with respect to the human target at angles varying between $-50^{\circ}$ and $50^{\circ}$ where the bio-radar system was placed at distances (corresponding to 50 cm and 95 cm) in front of a human target. The proposed MIMO bio-radar system can successfully find the direction of a human target.

• 대한의용생체공학회:의공학회지
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• 제33권4호
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• pp.177-183
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• 2012

The inspiratory flow rate of a human is changed with the amount of the workload. The flow characteristic is affected by the inspiratory flow rate. In the flow field of airway, the both of turbulence intensity and secondary flow affect the deposition pattern of particles which is important for the drug-aerosol targeting. Thus the analysis of the flow characteristic in a human airway is important. The purpose of this study is to investigate the effects of the inspiratory flow rate on the flow characteristics in a human airway. The tubular airway is consistent with the oral cavity, pharynx, larynx and trachea. The relatively inspiratory flow rate is used at each case of human states regarding the workload. By the effect of geometric airway changes, transition to turbulent airflow after the larynx can occur with relaminarization further downstream. The low Reynolds number k-${\omega}$ turbulence model is used for analysis with flow regime. As the inspiratory flow rate is larger, the turbulence kinetic energy and secondary flow intensity increase in airway. On the other hand, the area of recirculation zone is smaller.

• Journal of Advanced Marine Engineering and Technology
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• 제38권10호
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• pp.1347-1353
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• 2014

It's possible for a human to breathe under water, if dissolved oxygen is effectively used. Fish can stay under water using the gill which extracts dissolved oxygen from water. Water includes small amounts of oxygen, so a human needs larger amounts of water to acquire oxygen enough for underwater breathing. The exhalation gas from a human is another method to get higher amounts of oxygen under water. It mainly composes of oxygen, nitrogen and carbon dioxide. So, if only carbon dioxide is decreased, the exhalation gas has good characteristics for breathing of a human under water. In this paper, composition of the exhalation gas from a human was analyzed using GC. Based on these results, the synthesized gas was prepared and mixed into water which was used for experimental devices to analyze separation characteristics of dissolved gases from water. Experimental devices included a water pump, a hollow fiber membrane module and a vacuum pump. The effects of pressure and water flow on separation characteristics of synthesized gas were investigated. The compositions of gases separated from water using synthesized gas were investigated using GC. These results expect to be applied to the development of underwater breathing technology for a human.

• 드라이브 ㆍ 컨트롤
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• 제17권3호
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• pp.1-8
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• 2020

Recently, a special purpose machine with two manipulators and quadruped crawler system has been developed for rapid life-saving and initial restoration work at disaster sites. This special purpose machine provides the driver with various environmental recognition functions for accurate and rapid task determination. In particular, the human detection technology assists the driver in poor working conditions such as low-light, dust, water vapor, fog, rain, etc. to prevent secondary human accidents when moving and working. In this study, a human detection module is developed to be mounted on a special purpose machine. A thermal sensor and CCD camera were used to detect victims and nearby workers in response to the difficult environmental conditions present at disaster sites. The performance of various AI-based life detection algorithm were verified and then applied to the task of detecting various objects with different postures and exposure conditions. In addition, image visibility improvement technology was applied to further improve the accuracy of human detection.

• 산업공학
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• 제16권spc호
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• pp.144-148
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• 2003

A group of digital human models with various sizes which properly represents a population under consideration is needed in the design process of an ergonomic product in virtual environment. The present study proposes a two-step method which produces a representative group of human models in terms of stature and weight. The proposed method first generates a designated number of pairs of stature and weight within an accommodation range from the bivariate normal distribution of stature and weight of the target population. Then, from each pair of stature and weight, the method determines the sizes of body segments by using 'hierarchical' regression models and corresponding prediction distributions of individual values. The suggested method was applied to the 1988 US Army anthropometric survey data and implemented to a web-based system which generates a representative group of human models for the following parameters: nationality, gender, accommodation percentage, and number of human models.

• 한국전자파학회논문지
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• 제27권4호
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• pp.403-406
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• 2016

본 논문에서는 인체 감지용 수동형 마이크로파 센서의 실용화를 위한 소형 수신기의 설계, 제작에 관해 기술한다. 먼저 기존의 5.1 GHz 센서에 의한 인체 감지 측정 실험 데이터를 이용하여 센서 수신기의 요구사항 및 설계 사양을 도출하였으며, 이를 토대로 소형 수신기를 설계, 제작하였다. 제작한 소형 수신기 센서로 실험실에서의 인체 감지 측정 실험 결과, 안테나로부터 4 m 거리에 있는 인체까지 감지가 확인되었다. 제작된 소형 수신기는 기존 수신기에 비해 크기는 약 60 %, 소비전력은 40 % 감소된 소형경량 저소비전력으로 구현함으로써 실용성을 높였다.

• 한국안전학회지
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• 제31권3호
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• pp.60-67
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• 2016

The gas leak and explosion accident is able to give a fatal injury to nearby people from the explosion center and interest in effect of the explosion on the human body is increased. Accidents by Portable Butane Gas Range of a gas explosion accident occupy the most share. As a result, the injury on the human body frequently occur. However, It is situation that are experiencing difficulties in consequence analysis of explosion accidents owing to shortage of explosion power data and lack of research on the effect of the human body by the gas explosion. This paper acquire human injury data by performing the actual explosion experiment with Portable Butane Gas Range and evaluate power by explosion and effect of explosion on the human body to perform explosion simulation with LS-DYNA program. It is intended to contribute to the exact cause of the accident investigation and the same type of accident prevention.

• 로봇학회논문지
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• 제14권1호
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• pp.22-30
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• 2019

For effective human-robot interaction, robots need to understand the current situation context well, but also the robots need to transfer its understanding to the human participant in efficient way. The most convenient way to deliver robot's understanding to the human participant is that the robot expresses its understanding using voice and natural language. Recently, the artificial intelligence for video understanding and natural language process has been developed very rapidly especially based on deep learning. Thus, this paper proposes robot vision to audio description method using deep learning. The applied deep learning model is a pipeline of two deep learning models for generating natural language sentence from robot vision and generating voice from the generated natural language sentence. Also, we conduct the real robot experiment to show the effectiveness of our method in human-robot interaction.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2021년도 제33회 한글 및 한국어 정보처리 학술대회
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• pp.482-485
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• 2021

최근 지식 그래프를 확장하기 위해 많은 연구가 진행되고 있다. 지식 그래프를 확장하기 위해서는 relation을 기준으로 entity의 방향성을 고려하는 것이 매우 중요하다. 지식 그래프를 확장하기 위한 대표적인 연구인 관계 추출은 문장과 2개의 entity가 주어졌을 때 relation을 예측한다. 최근 사전학습 언어모델을 적용하여 관계 추출에서 높은 성능을 보이고 있지만, entity에 대한 방향성을 고려하여 relation을 예측하는지 알 수 없다. 본 논문에서는 관계 추출에서 entity의 방향성을 고려하여 relation을 예측하는지 실험하기 위해 문장 수준의 Adversarial Attack과 단어 수준의 Sequence Labeling을 적용하였다. 또한 관계 추출에서 문장에 대한 이해를 높이기 위해 BERT모델을 적용하여 실험을 진행하였다. 실험 결과 관계 추출에서 entity에 대한 방향성을 고려하지 않음을 확인하였다.

• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2023년도 제35회 한글 및 한국어 정보처리 학술대회
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• pp.9-13
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• 2023

본 논문에서는 대규모 언어모델의 검색 기반 답변 생성능력을 평가하는 새로운 한국어 벤치마크, KFREB(Korean Fictional Retrieval Evaluation Benchmark)를 제안한다. KFREB는 모델이 사전학습 되지 않은 허구의 정보를 바탕으로 검색 기반 답변 생성 능력을 평가함으로써, 기존의 대규모 언어모델이 사전학습에서 보았던 사실을 반영하여 생성하는 답변이 실제 검색 기반 답변 시스템에서의 능력을 제대로 평가할 수 없다는 문제를 해결하고자 한다. 제안된 KFREB는 검색기반 대규모 언어모델의 실제 서비스 케이스를 고려하여 장문 문서, 두 개의 정답을 포함한 골드 문서, 한 개의 골드 문서와 유사 방해 문서 키워드 유무, 그리고 문서 간 상호 참조를 요구하는 상호참조 멀티홉 리즈닝 경우 등에 대한 평가 케이스를 제공하며, 이를 통해 대규모 언어모델의 적절한 선택과 실제 서비스 활용에 대한 인사이트를 제공할 수 있을 것이다.