• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.611-614
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• 2008

Urea-SCR system has been known so far as one of effective after treatments for the reduction of NOx. In order to achieve better performance in SCR system, optimal geometric conditions for a urea injection system should be achieved. This research focused to visualize spray characteristics of urea injected SCR system in a heavy duty diesel engine. The experiment was conducted by varying injection pressures and flow rates of urea. The flow visualization was made by photographing techniques of CCD camera.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2011.10a
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• pp.41-41
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• 2011

국제해사기구(IMO)에서2016년에 건조되는 선박부터 Tier III 규제를 예고하고 있다. 이 규 제를 만족하기 위하여 엔진 전처리 기술 및 후처리 기술 개발과 실증 연구가 활발히 진행되고 있다. 이중 SCR(Selective Catalytic Reduction) 반응을 이용한 질소산화물 저감기술이 80% 이상의 Tier III NOx 규제치를 만족할 수 있는 유일한 기술이다. 육상 플랜트에서 실증과 검증이 확보된 SCR 기술의 선박 엔진에 대한 적용을 위해서는 선박의 급격한 운전조건 변화와 엔진에 의한 저주파 진동에 대한 촉매 내구성 확보가 중요하다. 본 연구에서 기공 분포면에서 마이크로 기공보다는 메죠 및 매크로 기공쪽으로 구조를 개선함으로써 촉매 사용시 우려되는 배기가스중의 Soot 또는 2차 합성물질에 의한 촉매기공 막힘을 최대한 방지한 상용 SCR 촉매를 개발하였다. 또한 촉매에 대한 내구성 실증을 위하여 현재 운항 선박(한진피츠버그호)에 장착하여 실증 실험을 수행하였다. 기존 corrugate 타입의 촉매보다 40% 정도의 부피 감소와 차압 감소를 달성하였고 이로 인하여 선박내 제한된 공간에 효율적으로 SCR 시스템 설치가 가능할 것으로 생각된다. 그리고 본 연구에서는 가이드 베인 설치 없이 유동 균일화를 달성하여 반응기 전체의 크기 축소가 가능하다. 이는 추가적인 비용 및 압력 손실 저감, 유지 보수 공간 확보 등의 장점이 있다.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.39 no.1
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• pp.1-9
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• 2015

To satisfy stricter $NO_X$ emission regulations for light- and heavy-duty diesel vehicles, a control algorithm needs to be developed based on a selective catalytic reaction (SCR) dynamics model for chemical reactions. This paper presents the development and validation of a SCR dynamics model through test rig experiments and MATLAB simulations. A nonlinear state space model is proposed based on the mass conservation law of chemical reactions in the SCR dynamics model. Experiments were performed on a test rig to evaluate the effects of the $NO_X$ and $NH_3$ concentrations, gas temperature, and space velocity on the $NO_X$ conversion efficiency for the urea-SCR system. The parameter values of the proposed SCR model were identified using the experimental datasets. Finally, a control-oriented model for an SCR system was developed and validated from the experimental data in a MATLAB simulation. The results of this study should contribute toward developing a closed-loop control strategy for $NO_X$ and $NH_3$ slip reduction in the urea-SCR system for an actual engine test bench.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.663-673
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• 2010

As a tool used for video maintenance, Video segmentation divides videos in hierarchical and structural manner. This technique can be considered as a core technique that can be applied commonly for various applications such as indexing, abstraction or retrieval. Conventional video segmentation used adaptive threshold to split video by calculating difference between consecutive frames and threshold value in window with fixed size. In this case, if the time difference between occurrences of cuts is less than the size of a window or there is much difference in neighbor feature, accurate detection is impossible. In this paper, Improved Adaptive threshold algorithm which enables determination of window size according to video format and reacts sensitively on change in neighbor feature is proposed to solve the problems above. Post-Processing method for decrement in error caused by camera flash and fast movement of large objects is applied. Evaluation result showed that there is 3.7% improvement in performance of detection compared to conventional method. In case of application of this method on modified video, the result showed 95.5% of reproducibility. Therefore, the proposed method is more accurated compared to conventional method and having reproducibility even in case of various modification of videos, it is applicable in various area as a video maintenance tool.

• The Journal of the Acoustical Society of Korea
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• v.14 no.4
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• pp.46-63
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• 1995

This thesis described an unlimited vocabulary connected speech recognition system using Time Delay Neural Network(TDNN). The recognition unit is the diphone unit which includes the transition section of two phonemes, and the number of diphone unit is 329. The recognition processing of korean connected speech is composed by three part; the feature extraction section of the input speech signal, the diphone recognition processing and post-processing. In the feature extraction section, the extraction of diphone interval in input speech signal is carried and then the feature vectors of 16th filter-bank coefficients are calculated for each frame in the diphone interval. The diphone recognition processing is comprised by the three stage hierachical structure and is carried using 30 Time Delay Neural Networks. particularly, the structure of TDNN is changed so as to increase the recognition rate. The post-processing section, mis-recognized diphone strings are corrected using the probability of phoneme transition and the probability o phoneme confusion and then the eojeols (Korean word or phrase) are formed by combining the recognized diphones.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.34 no.11
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• pp.999-1004
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• 2010

Recently, many technologies have been developed in order to satisfy stringent emission regulations. However, in the case of diesel engines, the stringent emission regulations with respect to NOx and PM have not yet been satisfied. A dramatic reduction in the NOx and PM emissions could be achieved by using after-treatment systems such as lean NOx trap (LNT) and urea-SCR systems. However, the high temperature in the exhaust pipe affects the spray behavior of the secondary injector, which is used for supplying the Urea-SCR. Because of this high temperature, it is difficult to achieve uniform distribution of the reducing agent in the manifold. In this paper, the characteristics of a urea-SCR injector used for injecting in the exhaust pipe are presented. The purpose of this study was to investigate the spray characteristics of the injector, such as the spray angle, injection quantity, and SMD. In addition, laser diagnostics and high-speed-camera images were used to analyze the injector spray characteristics and to present a distribution of reduction in the transparent manifold.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.4
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• pp.65-77
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• 1999

There are two problems which will be processed to graft a continuous speech recognition results into natural language processing technique. First, the speaking's unit isn't consistent with text's spacing unit. Second, when it is to be pronounced the phonological alternation phenomena occur inside morphemes or among morphemes. In this paper, we implement the postprocessing system of a continuous speech recognition that above all, solve two problems using the eo-jeol generator and syllable recoveror and morphologically analyze the generated results and then correct the failed results through the corrector. Our system experiments with two kinds of speech corpus, i.e., a primary school text book and editorial corpus. The successful percentage of the former is 93.72%, that of the latter is 92.26%. As results of experiment, we verified that our system is stable regardless the sorts of corpus.

• The Journal of the Acoustical Society of Korea
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• v.19 no.1
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• pp.4-10
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• 2000

The work presented in this paper is about a postprocessor, which improves the performance of automatic speech segmentation system by correcting the phoneme boundary errors. We propose a postprocessor that reduces the range of errors in the auto labeled results that are ready to be used directly as synthesis unit. Starting from a baseline automatic segmentation system, our proposed postprocessor trains the features of hand labeled results using multi-layer perceptron(MLP) algorithm. Then, the auto labeled result combined with MLP postprocessor determines the new phoneme boundary. The details are as following. First, we select the feature sets of speech, based on the acoustic phonetic knowledge. And then we have adopted the MLP as pattern classifier because of its excellent nonlinear discrimination capability. Moreover, it is easy for MLP to reflect fully the various types of acoustic features appearing at the phoneme boundaries within a short time. At the last procedure, an appropriate feature set analyzed about each phonetic event is applied to our proposed postprocessor to compensate the phoneme boundary error. For phonetically rich sentences data, we have achieved 19.9 % improvement for the frame accuracy, comparing with the performance of plain automatic labeling system. Also, we could reduce the absolute error rate about 28.6%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.5
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• pp.951-959
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• 2017

In this paper, we design and implement an Android-based Hangul food menu recognition application that recognizes characters from images captured by a smart phone. Optical Character Recognition (OCR) technology is divided into preprocessing, recognition and post-processing. In the preprocessing process, the characters are extracted using Maximally Stable Extremal Regions (MSER). In recognition process, Tesseract-OCR, a free OCR engine, is used to recognize characters. In the post-processing process, the wrong result is corrected by using the dictionary DB for the food menu. In order to evaluate the performance of the proposed method, experiments were conducted to compare the recognition performance using the actual menu plate as the DB. The recognition rate measurement experiment with OCR Instantly Free, Text Scanner and Text Fairy, which is a character recognizing application in Google Play Store, was conducted. The experimental results show that the proposed method shows an average recognition rate of 14.1% higher than other techniques.

• Annual Conference on Human and Language Technology
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• 2009.10a
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• pp.61-66
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• 2009

본 논문은 다양한 형태의 웹 문서에 적용하기 위해서, 언어의 통계정보 및 후처리 규칙에 기반 하여 개선된 문장경계 인식 기술을 제안한다. 제안한 방법은 구두점 생략 및 띄어쓰기 오류가 빈번한 웹 문서에 적용하기 위해서 문장경계로 사용될 수 있는 모든 음절을 대상으로 학습하여 문장경계 인식을 수행하였고, 문장경계인식 성능을 최대화 하기 위해서 다양한 실험을 통해 최적의 자질 및 학습데이터를 선정하였고, 다양한 기계학습 기반 분류 모델을 비교하여 최적의 분류모델을 선택하였으며, 학습데이터에 의존적인 통계모델의 오류를 규칙에 기반 해서 보정하였다. 성능 실험은 다양한 형태의 문서별 성능 측정을 위해서 문어체와 구어체가 복합적으로 사용된 신문기사와 블로그 문서(평가셋1), 문어체 위주로 구성된 세종말뭉치와 백과사전 본문(평가셋2), 구두점 생략 및 띄어쓰기 오류가 빈번한 웹 사이트의 게시판 글(평가셋3)을 대상으로 성능 측정을 하였다. 성능척도로는 F-measure를 사용하였으며, 구두점만을 대상으로 문장경계 인식 성능을 평가한 결과, 평가셋1에서는 96.5%, 평가셋2에서는 99.4%를 보였는데, 구어체의 문장경계인식이 더 어려움을 알 수 있었다. 평가셋1의 경우에도 규칙으로 후처리한 경우 정확률이 92.1%에서 99.4%로 올라갔으며, 이를 통해 후처리 규칙의 필요성을 알 수 있었다. 최종 성능평가로는 구두점만을 대상으로 학습된 기본 엔진과 모든 문장경계후보를 인식하도록 개선된 엔진을 평가셋3을 사용하여 비교 평가하였고, 기본 엔진(61.1%)에 비해서 개선된 엔진이 32.0% 성능 향상이 있음을 확인함으로써 제안한 방법이 웹 문서에 효과적임을 입증하였다.