• 한국정보처리학회논문지
• /
• 제4권6호
• /
• pp.1531-1540
• /
• 1997

본 논문에서는 발화속도 측정과 이를 통한 보상방법을 통하여 성능 향상된 한국어 연속음 인식 시스템을 제안한다. 연속음 인식은 다양한 조음화 현상과 발화속도의 변화로 인하여 고립단어 인식에 비하여 어렵다. 따라서, 연속음 인식을 위해서는 조음화 현상과 발화속도의 변화를 모델링할 수 있는 방법이 필요하다. 본 논문에서는 발화속도를 포만트의 변화율로서 측정하였고, 이 정보를 이용하여 빠른 발화에서는 상대적으로 많은 특징벡터를 발생시켜 보상을 시도하였다. 또한 조음화 현상을 모델링하기 위하여 한국어의 다이폰 집합을 514개로 정의하였고, 훈련을 위한 음성 DB론느 ETRI의 445 단어 DB를 사용하였다. 이러한 방법을 결합한 한국어 연속음 인식기를 DHMM (Discrete Hidden Markov Model)으로 구현하여 인식률이 향상됨을 보였다.

• 한국공작기계학회논문집
• /
• 제13권1호
• /
• pp.48-54
• /
• 2004

This paper describes the development of automatic shape design program for spur gear. It produces automatically third-dimensional surface and solid model used in CAD/CAM system with inputting simple measurements. This program can maximize user's convenience and get surface and solid model quickly as accepting GUI(graphic user interface). Automatic shape design program for spur gear was developed by Visual LISP, a developer program. Besides, a geometrical method and a mathematical algerian are used in this program. Use frequency of a fine spur gear is on the increase recently and manufacture process of this gear is heat treatment after press processing with molding. In this press processing, the upper punch portion of a fine spur gear shape is drafted by CAM. Therefore, estimated that surface and solid model of spur gear used to CAM are needed in this research. In this research, after 2 ㎜ gear was modeled by auto shape design program, the upper punch portion of a fine spur gear was manufactured as giving third-dimensional model to CAM software and then, displayed the result as applying to press process.

• 한국수산과학회지
• /
• 제28권3호
• /
• pp.294-300
• /
• 1995

In aquaculture industrial field, an automatic management and control system is needed to cope with the difficulties such as expensive wage, ripe age of management worker and risk according to the unexpected change of environmental conditions in the aquarium. This paper introduces an automatic aquarium monitoring and control system. The system is developed using PC single board computer. A PC can be connected to multi-single hoard computers, and the communication between PC and single board computers is based on RS-422/485 interfacing method. The physical data of pH, DO, temperature and water level etc. are real-timely treated in the single board computer though individual transducers, transfered to the main monitoring PC through RS-422/485 communication, and those data are graphically shown on the PC monitor. Furthermore, the environmental circumstance can be monitored through the image processing system, and the emergency system can be operated under the condition of environmental incident such as electric power stoppage, DO deficiency, pump shut down and low level water etc.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2002년도 추계공동학술대회논문집
• /
• pp.121-126
• /
• 2002

이 논문은 항만에서 사용되는 크레인에 있어서 ALS(Automatic Landing System)를 위한 스프레더(spreader)의 이동정보 및 스큐각을 얻을 수 있는 방법을 소개 하고자 한다. 현재 사용되고 있는 ALS에서의 이동정보 획득방법은 3차원 laser scanner 일종인 모서리 감지기를 이용하거나, 다수의 레이저 거리미터기를 이용하는 방법이 주를 이루고 있다. 그러나 이러한 방법들은 경제성 면에서 그리고 성능면에서 각각 단점을 가진다 따라서 본 논문에서는 이러한 단점들을 개선하기 위해서 CCD 카메라를 이용한 영상처리와 레이저 거리 미터기를 이용하여 스프레더의 이동정도와 스큐각을 획득할 수 있는 방법을 제안한다.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송공학회 2009년도 IWAIT
• /
• pp.267-272
• /
• 2009

Video digests provide an effective way of confirming a video content rapidly due to their very compact form. By watching a digest, users can easily check whether a specific content is worth seeing in full. The impression created by the digest greatly influences the user's choice in selecting video contents. We propose a novel method of automatic digest creation that evokes a joyful impression through the created digest by exploiting smile/laughter facial expressions as emotional cues of joy from video. We assume that a digest presenting smiling/laughing faces appeals to the user since he/she is assured that the smile/laughter expression is caused by joyful events inside the video. For detecting smile/laughter faces we have developed a neural network based method for classifying facial expressions. Video segmentation is performed by automatic shot detection. For creating joyful digests, appropriate shots are automatically selected by shot ranking based on the smile/laughter detection result. We report the results of user trials conducted for assessing the visual impression with automatically created 'joyful' digests produced by our system. The results show that users tend to prefer emotional digests containing laughter faces. This result suggests that the attractiveness of automatically created video digests can be improved by extracting emotional cues of the contents through automatic facial expression analysis as proposed in this paper.

• 생물환경조절학회지
• /
• 제1권1호
• /
• pp.37-51
• /
• 1992

Quantizing and extracting visual features of mushroom(Lentinus edodes L.) are crucial to the sorting and grading automation, the growth state measurement, and the dried performance indexing. A computer image processing system was utilized for the extraction and measurement of visual features of front and back sides of the mushroom. The image processing system is composed of the IBM PC compatible 386DK, ITEX PCVISION Plus frame grabber, B/W CCD camera, VGA color graphic monitor, and image output RGB monitor. In this paper, an automatic thresholding algorithm was developed to yield the segmented binary image representing skin states of the front and back sides. An eight directional Freeman's chain coding was modified to solve the edge disconnectivity by gradually expanding the mask size of 3$\times$3 to 9$\times$9. A real scaled geometric quantity of the object was directly extracted from the 8-directional chain element. The external shape of the mushroom was analyzed and converted to the quantitative feature patterns. Efficient algorithms for the extraction of the selected feature patterns and the recognition of the front and back side were developed. The developed algorithms were coded in a menu driven way using MS_C language Ver.6.0, PC VISION PLUS library fuctions, and VGA graphic functions.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제4권4호
• /
• pp.633-654
• /
• 2010

High quality camera images, with good contrast and intensity, are needed to obtain the desired information. Images need to be enhanced when they are dark or bright. The histogram equalization technique, which flattens the density distribution of an image, has been widely used to enhance image contrast due to its effectiveness and simplicity. This technique, however, cannot be used to enhance images that are either too dark or too bright. In addition, it is difficult to perform histogram equalization in real-time using a general-purpose computer. This paper proposes a histogram equalization technique with AGC (Automatic Gain Control) to extend the image enhancement range. It is designed using VHDL (VHSIC Hardware Description Language) to enhance images in real-time. The system is implemented with an FPGA (Field Programmable Gate Array). An image processing system with this FPGA is implemented. The performance of this image processing system is measured.

• 융합신호처리학회 학술대회논문집
• /
• 한국신호처리시스템학회 2001년도 하계 학술대회 논문집(KISPS SUMMER CONFERENCE 2001
• /
• pp.101-104
• /
• 2001

본 논문에서는 5GHz 대역을 사용하는 무선 LAN의 표준안인 IEEE 802.11a-1999를 위한 디지털 자동 이득 제어기를 제안한다. 송수신간의 동기화를 위한 신호인 Training symbol을 이용하여 수신기에 입력되는 신호의 이득을 측정한다. 측정된 이득을 이상적인 이득과 비교하여 갱신할 이득을 구한다. 갱신 이득은 신호를 증폭하는GCA(Gain Controlled Amplifier)의 입력 전압으로 변환되어 신호의 증폭도를 제어하게 된다. 본 논문에서는 하드웨어 부담을 줄이기 위해 부분 선형 근사방법을 이용하여, 갱신 이득을 GCA의 입력 전압으로 변환한다. 보다 정확한 제어를 위하여 이득 측정 및 제어 값의 갱신을 7회 반복하여 수행한다. 본 논문에서 제안한 디지털 자동 이득 제어기는 VHDL을 이용하여 설계하였으며, Xilinx CAD Tool을 이용하여 Timing Verification을 수행하였다.

• Journal of Information Processing Systems
• /
• 제9권4호
• /
• pp.602-620
• /
• 2013

Many previous research studies on extractive text summarization consider a subset of words in a document as keywords and use a sentence ranking function that ranks sentences based on their similarities with the list of extracted keywords. But the use of key concepts in automatic text summarization task has received less attention in literature on summarization. The proposed work uses key concepts identified from a document for creating a summary of the document. We view single-word or multi-word keyphrases of a document as the important concepts that a document elaborates on. Our work is based on the hypothesis that an extract is an elaboration of the important concepts to some permissible extent and it is controlled by the given summary length restriction. In other words, our method of text summarization chooses a subset of sentences from a document that maximizes the important concepts in the final summary. To allow diverse information in the summary, for each important concept, we select one sentence that is the best possible elaboration of the concept. Accordingly, the most important concept will contribute first to the summary, then to the second best concept, and so on. To prove the effectiveness of our proposed summarization method, we have compared it to some state-of-the art summarization systems and the results show that the proposed method outperforms the existing systems to which it is compared.

• 한국산학기술학회논문지
• /
• 제8권6호
• /
• pp.1524-1529
• /
• 2007

본 논문에서는 자동 촬영 파노라마 생성 방법을 제안한다. 기존에는 두 장의 파노라마 멤버들을 수동으로 촬영하여 파노라마 영상을 만드는 반면, 제안한 방법은 이동되는 카메라에서 파노라마 멤버들을 자동으로 촬영하여 파노라마 영상을 생성한다. 파노라마 멤버들은 카메라로부터 들어오는 영상 스트림에서 추적 영역을 자동으로 추적하여 촬영된다. 촬영된 멤버들은 추적 영역을 포함하는 정합 영역에 대해 불변 특징 방법을 적용한다. 이 방법은 파노라마 멤버들을 자동으로 촬영할 수 있고 파노라마 생성 속도가 빠른 장점이 있다. 실험에서 $320{\times}240$ 크기의 칼라 영상에 대해 제안한 방법의 처리 시간이 약 0.89초로 기존의 특징 기반 방법(6)에 비해 처리 속도가 약 2배 빠른 결과를 보였다.