• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.6
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• pp.44-50
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• 2021

This study analyzed the stability of antenna equipped on vehicles by the link of modal analysis and random vibration analysis with the vibration data of MIL-STD-810H, METHOD 514.8. As a result of the random vibration analysis of antenna, the maximum equivalent stress 41.9MPa and minimum margin of safety 8.37 was generated in the bracket of antenna by the vertical direction vibration. Thus, it was found that antenna has enough stability during the operation.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.11
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• pp.60-66
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• 2021

The antenna transmits and receives signals has a number of electronics that generate heat. For cooling, four fans and airways circulate air inside the antenna-equipped housing to exchange heat from the cooling plate assembly. In this study, fluid analysis was conducted to assess the suitability of the cooling system. The electronic components of the antenna exhibited temperature values lower than the maximum operating temperature of the components, which showed that the cooling system for the antenna had sufficient performance.

• Journal of ILASS-Korea
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• v.26 no.4
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• pp.204-211
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• 2021

Lean combustion performance of natural gas and hydrogen was compared in a spark-ignition engine. The lean combustion engine operation with natural gas was limited due to combustion instability at an excess air ratio (EAR) above 1.8. The total hydrocarbon (THC) emissions increased significantly with increasing EAR. The nitrogen oxides (NO_X) emissions were also high due to the limitation of increasing EAR. The lean combustion engine operation with hydrogen showed superior combustion stability as well as low THC and NO_X emissions, even at high EARs. However, boosting technology was required to reach the high EARs.

• Journal of ILASS-Korea
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• v.27 no.4
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• pp.203-210
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• 2022

Combustion and performance of a spark-ignition engine fueled with propane and butane were analyzed under different compression ratio. The electricity efficiencies of propane and butane increased with increasing the electricity production. The heat release rates of propane and butane were similar at a compression ratio of 9:1 because both fuels had similar optimal ignition timings without knocking combustion. Therefore, the difference in electricity efficiencies of engine generators was insignificant. However, at a higher compression ratio of 11:1, the butane engine generator had a lower electricity efficiency than the propane engine generator because its ignition timing retarded to suppress the knocking combustion.

• Journal of ILASS-Korea
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• v.27 no.2
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• pp.101-108
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• 2022

Performance and emissions with different diesel injection methods were analyzed in a natural gas-diesel, dual-fuel engine under low-load conditions. Natural gas was supplied to intake port during the intake stoke to form a natural gas-air premixed mixture for all methods. Diesel was injected directly into the cylinder during the compression stroke in three ways: early injections, late injections, and a combination of early and late injections. The early injections had the highest thermal efficiency among the three methods owing to its highest combustion efficiency. The wide dispersion of diesel before the combustion initiation also allowed superior emissions characteristics.

• Journal of the Korean Society for Precision Engineering
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• v.10 no.2
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• pp.22-29
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• 1993

A remote control system was developed in order to operate by push-buttons the conventional drum and chute components, which have been operated manually, in a concrete mixer-truck. As actuators, a hydraulic power unit was used for chute operations: two DC motors for drum operations. The devised drum controller consisted of three electric circuits : an analog proportional-integral control circuit, a drum acceleration circuit, and an emergency stop circuit. The remote control system was installed to be tested experimentally and then was evaluated to work successfully with a desirable accuracy.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.43-46
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• 2021

최근 기계 임무수행에 사용되는 데이터양이 증가함에 따라 기계를 위한 효율적인 영상 압축방식의 필요성이 높아졌다. 기존의 비디오 코덱은 HVS (Human Visual System) 특성을 고려한 기술이기 때문에 부호화 과정에서 기계 임무수행에 필요하지 않은 정보를 효과적으로 제거할 수 없다. 반면 심층신경망 기반 압축네트워크의 경우, 원본 영상으로부터 기계 임무수행에 필수적인 데이터만을 추출하여 부호화 하도록 학습할 수 있는 장점이 있다. 본 논문에서는 압축 심층신경망과 기계 임무수행 네트워크로 구성되는 VCM (Video Coding for Machine) 프레임워크를 제안하고 학습에 의한 압축효율 향상을 검증한다. 이를 위해 압축 심층신경망을 객체탐지 임무수행 네트워크와 함께 학습시킨 결과, VVC (Versatile Video Coding) 대비 평균 61.16%의 BD-rate 감소가 확인되었다. 뿐만 아니라, 학습된 압축 심층신경망은 객체분할 임무수행에서도 VVC 대비 평균 58.43%의 BD-rate 감소를 보여 다중 기계 임무의 효율적 수행이 가능함을 확인할 수 있었다.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.5
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• pp.157-163
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• 1997

In the case of direct connecting the nut of ballscrew to guide table, machining error and misalignment of ballscrew largely affect to the motional accuracy of guideway. For decreasing these influences, two type of floating couplings: leaf spring type and hybrid type which releases the table from nut of ballscrew except feed and rotational direction is proposed in this study. In order to verify practical availability of the proposed floating couplings, motional accuracy, dynamic characteristics and micro step response of hydrostatic guideway, mounted with each type of couplings are tested. The conventional fixed type coupling is also tested as the reference in characteristics. From the results of experiments, it is proved that the hybrid type coupling is superior to other couplings and is available to high precision feeding system with ballscrew.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.151-154
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• 2020

대명사 참조해결은 문서 내에 등장하는 대명사와 이에 대응되는 선행사를 찾는 자연어처리 태스크이다. 기계 독해는 문단과 질문을 입력 받아 질문에 해당하는 알맞은 정답을 문단 내에서 찾아내는 태스크이며, 최근에는 주로 BERT 기반의 모델이 가장 좋은 성능을 보이고 있다. 이러한 BERT 기반 모델의 성공에 따라, 최근 여러 연구에서 자연어처리 태스크를 기계 독해 문제로 변환하여 해결하는 연구들이 진행되고 있다. 본 논문에서는 최근 여러 자연어처리에서 뛰어난 성능을 보이고 있는 BERT 기반 기계 독해 모델을 이용하여 한국어 대명사 참조해결 연구를 진행하였다. 사전 학습 된 기계 독해 모델을 사용하여 한국어 대명사 참조해결 데이터로 fine-tuning하여 실험한 결과, 개발셋에서 EM 78.51%, F1 84.79%의 성능을 보였고, 평가셋에서 EM 70.78%, F1 80.19%의 성능을 보였다.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.363-368
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• 2020

글로벌 시대를 맞이하여 언어의 장벽을 해소하기 위하여 기계번역 연구들이 전 세계적으로 이루어지고 있다. 딥러닝의 등장으로 기존 규칙 및 통계기반 방법론에 비하여 눈에 띄는 성능향상을 이루어내고 있으며 많은 연구들이 이루어지고 있다. 인공신경망 기반 기계번역 모델을 만들 때 가장 중요한 요소는 병렬 말뭉치의 양과 질이다. 본 논문은 한-영 대용량의 말뭉치를 수집하고 병렬 말뭉치 필터링 기법을 적용하여 데이터의 양과 질을 충족시켰으며 한-영 기계번역 관련 객관적인 테스트셋인 Iwslt 16, Iwslt 17을 기준으로 기존 한-영 기계번역 관련 연구 중 가장 좋은 성능을 보였다.