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영교차점과 켑스트럼 전처리 기술을 이용한 반향환경에서의 음원방향 추정
박용진,이수연,박형민,Park, Yong-Jin,Lee, Soo-Yeon,Park, Hyung-Min 대한음성학회 2008 말소리 Vol.67 No.-
To estimate directions of multi-sound sources, we consider an approach based on zero crossings which provided more robust results to diffuse noise than the conventional cross-correlation-based method [6][7]. In reverberant environments, the performance of source direction estimation can be improved by using signal components through direct paths from sources to microphones. Since a cepstral prefiltering technique [8] removes the effect of reverberation, we propose a source direction estimation method which can find out intervals of the direct-path components by comparing original and cepstral-prefiltered envelopes. Simulations demonstrate that the proposed method can improve the performance of source direction estimation in reverberant environments.
고 Si-P 첨가가 박육구상흑연주철의 미세 조직과 기계적 성질에 미치는 영향
박용진,최양진,박인선,김영환,이효상 ( Yong Jin Park,Yang Jin Choi,In Sun Park,Young Hwan Kim,Hyo Sang Lee ) 한국주조공학회 1995 한국주조공학회지 Vol.15 No.6
N/A Effects of high Si-P addition on microstructure and mechanical properties of thin ductile cast iron have been investigated. The amount of silicon addition have fixed on 4.0wt% and the amounts of phosphorus addition and thickness of specimen have been varied from 0.05 to 0.8wt% and ø13㎜, ø10㎜ and ø6㎜, respectively. As the casting thickness decreased, the average diameter of spheroidal graphite was decreased and the hardness of the cast iron increased. By adding P, the average diameter of spheroidal graphite was increased and the count of the spheroidal graphite was decreased continuously. And the tensile strength and the elongation was decreased, and the hardness was increased. With the P added more than 0.2wt%, the abraded amount was decreased significantly. The addition of P improved the wear resistance and the hardness of thin ductile cast iron.
단계적 슈퍼픽셀 병합을 통한 이미지 분할 방법에서 특권정보의 활용 방안
박용진,Park, Yongjin 한국정보통신학회 2019 한국정보통신학회논문지 Vol.23 No.9
We propose a learning-based image segmentation algorithm. Starting from super-pixels, our method learns the probability of merging two regions based on the ground truth made by humans. The learned information is used in determining whether the two regions should be merged or not in a segmentation stage. Unlike exiting learning-based algorithms, we use both local and object information. The local information represents features computed from super-pixels and the object information represent high level information available only in the learning process. The object information is considered as privileged information, and we can use a framework that utilize the privileged information such as SVM+. In experiments on the Berkeley Segmentation Dataset and Benchmark (BSDS 500) and PASCAL Visual Object Classes Challenge (VOC 2012) data set, out model exhibited the best performance with a relatively small training data set and also showed competitive results with a sufficiently large training data set. 기존의 영역 병합을 통한 이미지 분할 방법에서는 이웃한 두 영역 사이의 정보만을 이용하여 병합 모델을 학습한다. 학습 과정에서는 두 영역 사이의 지역적인 정보뿐만 아니라 물체 정보와 같은 전역적인 정보 또한 활용 가능하므로 주어진 모든 정보를 활용하여 병합 모델의 성능을 높이는 것이 바람직하다. 본 논문에서는 학습 기반의 이미지 분할 알고리즘에서 학습 시에만 사용 가능한 특권정보를 활용하는 SVM+ 방법을 제안한다. 특권정보는 학습 시에만 사용 가능한 정보이므로 전통적인 지도학습 방법으로는 학습이 불가하다. SVM+와 같은 특권정보를 학습할 수 있는 구조를 통해 지역 정보뿐만 아니라 물체 정보를 포함하여 영역 간의 병합 여부를 결정하는 모델을 학습하였다. BSDS 500 데이터 세트와 VOC 2012 데이터 세트에서 벤치마크를 수행하였으며 대부분의 평가 지표에서 개선된 성능을 보여 주었다. 특히 학습 데이터 세트가 작은 경우에 기존의 알고리즘에 비해서 월등히 뛰어난 성능을 보인다.
L1과 L2 언어 간의 영향과 문법난이도의 차이 분석 - 중국어문법능력평가 시험 개발을 위한 분석 -
박용진(Park, Yongjin) 한국중국어교육학회 2019 중국어교육과연구 Vol.0 No.29
Following our research, Park & Ma(2018), “Verification of Prator’s Grammar Difficulty Hypothesis - For Development a L2 Chinese Grammar Proficiency test for L1 Korean”, 172 survey conducted by L1 Korean students were collected and we reanalyzed “L2 Chinese grammar proficiency test”, Park & Ma(2018) designed. This analysis proved that the result of Park & Ma(2018)’s research was right. After the first verification, we adjusted the difficulty level of grammar for L1 Korean students studying chinese as the second language. One of the most meaningful verification of the Prator’s Grammar Difficulty Hypothesis is that the Grammar Difficulty level 4 designed by Prator was the most difficult grammatical item for L1 Korean students studying chinese as the second language. We hope that our “L2 Chinese Grammar Proficiency Test for L1 Korean” would help the teacher evaluate the learners’ level of Chinese language so the Chinese class could be designed to meet the learners’ Chinese level. Finally, this test would be the tool for students to check their Chinese grammar level.