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곽동헌(Dongheon Kwak),류정우(Joungwoo Ryu),김명원(Myungwon Kim) 한국정보과학회 2004 한국정보과학회 학술발표논문집 Vol.31 No.1B
수치적인 데이터를 분류하기 위한 대표적인 방법은 퍼지 규칙을 사용하는 것이다. 하지만, 퍼지 규칙을 이용하는 방법은 퍼지 소속 함수를 어떻게 정의하느냐에 따라 퍼지 분류의 성능이 크게 영향을 받는다는 문제점있다. 따라서 퍼지 규칙을 쉽게 이해하기 위해서는 가능한 퍼지 규칙의 수를 적게 유지하는 것이 필요하다. 본 논문에서는 효과적이며 이해하기 쉬운 퍼지 규칙을 생성하기 위해 기울기 강하법을 기반으로 하는 소속 함수 학습 방법을 제안한다. 에러율을 감소하기 위해 Penalty 연산과 Reward 연산을 통해 소속 함수가 반복적으로 조절된다. 새로운 소속 함수는 Coverage 연산에 의해 생성된다. 또한 이해하기 쉬운 퍼지 규칙을 최적화하기 위해 학습된 소속 함수를 퍼지 결정 트리에 적용한다. 본 논문에서 제안한 알고리즘의 타당성을 확인하기 위해 벤치 마크 데이터인 Iris, Wisconsin Breast Cancer, Pima, Bupa 데이터를 이용하여 실험 결과를 보인다. 실험 결과를 통해 제안한 알고리즘이 기존의 C4.5와 FID 3.1 알고리즘보다 더 효과적이거나 비슷한 성능을 보임을 알 수 있다.
조성철(Seongcheol Cho),모동헌(Dongheon Mo),류정인(Jeongin Ryu) 한국자동차공학회 2003 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
The objectives of this study was to examine experimentally the microexplosion phenomena of single droplet W/O(water-in-oil) type emulsified fuel and to measure the combustion characteristics of single droplet emulsified fuel for microexplosion phenomena in atmospheric pressure condition.<br/> The larger quantity of adding water makes microexplosion phenomenon with higher intensity of sound level because larger water droplet has better coalescence for emulsified fuel. The small quantity of adding water makes puffing with lower sound level intensity. In latter period of extinction, large size droplet of the emulsified fuel breaks down rapidly to small size droplet, and microexplosion phenomenon occurs with multi step combustion.<br/>
유화단일액적의 특성에 관한 실험연구 (2) - 액적직경 변화에 관하여-
조성철(Seongcheol Cho),모동헌(Dongheon Mo),윤면근(Myunkeun Yoon),류정인(Jeongin Ryu) 한국자동차공학회 2003 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
The objectives of this study was to examine experimentally the variation droplet diameter of single droplet W/O type emulsified fuel. We measured the combustion characteristics of single droplet emulsified fuel for microexplosion phenomena in atmospheric pressure condition.<br/> Larger initial droplet diameter makes combustion rate constant(Cb) higher because the water droplet diameter of emulsified fuel increases by coalescence. It proves that the larger diameter fuel droplet has shorter time from ignition to extinction.<br/> In latter period of extinction, large size droplet of the emulsified fuel breaks down rapidly to small size droplet, and Microexplosion phenomenon occurs with multi step combustion. The combustion time is reduced as equivalence diameter of the emulsified fuel droplet decreases. This phenomenon occurs substantially with increase of adding water.<br/>
조성철(Seongcheol Cho),모동헌(Dongheon Mo),윤면근(Myunkeun Yoon),류정인(Jungin Ryu) 한국자동차공학회 2002 한국자동차공학회 춘 추계 학술대회 논문집 Vol.2002 No.5_3
The capacitance sensor design and emulsified fuel manufacturing verify characteristics of emulsified fuel, so it concluded the following conclusions.<br/> The first 24 hours after emulsified fuel manufacturing reveals separation ratio of 1.5%,maintains stable status, and verifies the stability of emulsified fuel.<br/> Adding more water increases the separation ratio rapidly, and adding more surfactant displays stable emulsification using by microscope. 10% added water displays 1㎛ of water droplet diameter distributed on oil droplet, and 30% water does 2㎛, In 6 hours after adding water, I % surfactant mixture makes water diameter 4 to 5 times bigger, and 2% does 2 times, and 3% does 2 times.<br/> In general, adding water makes the density of water diameter bigger, and adding surfactant mixture makes the size of water diameter smaller.<br/> In conclusion, the size of W/O type emulsified fuel water diameter is directly related to the volume of surfactant, and density of water diameter changes the distribution according to water content.
W/O형 유황연료의 안정성 측정을 위한 정전용량 센서개발
조성철(Seongcheol Cho),모동헌(Dongheon Mo),윤면근(Myunkeun Yoon),류정인(Jungin Ryu) 한국자동차공학회 2002 한국자동차공학회 춘 추계 학술대회 논문집 Vol.2002 No.5_3
We designed capacitance sensor for measuring capactance of W/O type emulsified fuel. Capacitance sensor consists of two conductors isolated by an insulator. The characteristics nature of a capacitance sensor is its ability to accept and store an electric charge. From using this concept, we carried out With manufacturing of capacitance sensor, the test results for validity of sensor and stability of 6 emulsified fuel conclude the followings.<br/> The result of capacitance measurement for 6 test fuels indicates design error range is within 4% max, so this fact proves the validity of capacitance sensor.<br/> Capacitance value of 6 emulsified fuel, with the aid of capacitance sensor, increases as water volume increases, but it decreases as surfactant increases when water is given equally.<br/> As a result, cylindrical type capacitance sensor proves validity of sensor and emulsified fuel which produce seperation ratio proves the stability of capacitance value.
VoiceID: 딥러닝 기반 음성인식을 통한 모바일 보안 솔루션
현진(Jin Hyun),류동헌(Dongheon Ryu),정강민(Kangmin Jeong),이영주(Youngjoo Lee) 대한전자공학회 2021 대한전자공학회 학술대회 Vol.2021 No.6
In this paper, we introduce a mobile security solution named VoiceID, which utilizes lightweight deep neural networks (DNNs) for speech signal processing. The proposed VoiceID uses a new frame-level speaker embedding from the existing DNN model, which can be trained with the softmax cross entropy. The fine-tuning training is newly added with the triplet loss function, enhancing the quality of user-level identification. The word-level identification is also realized to provide the access right for each user, empowered by using the Cosine distance between bedded voice vectors. Evaluation results show that our VoiceID system successfully restricts 99.93% of unregistered users with simple yet efficient DNN-based processing steps, which can be used for the lightweight security solutions.