• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.896-899
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• 1996

A new algorithm for planning a collision free path is developed based on linear parametric curve. A collision-free path is viewed as a connected space curve in which the path consists of two straight curve connecting start to target point. A single intermediate connection point is considered in this paper and is used to manipulate the shape of path by organizing the control point in polar coordinate (.theta.,.rho.). The algorithm checks interference with obstacles, defined as GM (Geometry Mapping), and maps obstacles in Euclidean Space into images in CPS (Connection Point Space). The GM for all obstacles produces overlapping images of obstacle in CPS. The clear area of CPS that is not occupied by obstacle images represents collision-free paths in Euclidean Space. Any points from the clear area of CPS is a candidate for a collision-free path. A simulation of GM for number of cases are carried out and results are presented including mapped images of GM and performances of algorithm.

• Radiation Oncology Journal
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• 제16권4호
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• pp.497-504
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• 1998

목적 : matrix ion chamber type의 EPID와 video camera based EPID를 이용한 portal image와 기존의 film을 이용한 port film의 영상의 질을 객관적으로 비교 평가하여 EPID의 유용성을 알아보고자 본 연구를 계획하였다. 대상 및 방법 : 1997년 4월부터 10월까지의 인하대 병원과 세브란스 병원에서 방사선 치료를 받은 골반강내 치료 환자 각 10명씩을 대상으로 환자 1명 당 5-10회의 port film과 EPID를 이용한 portal image를 동시에 얻어 비교하였다. 환자의 나이는 32세에서 79세이었고 2명의 AP영상을 제외하고는 모두 PA영상을 얻었다. 환자의 두께는 17cm에서 20cm으로 비교적 균일하였다. beam energy는 10MV X-ray를 사용하였고 dose rate은 100-300MU/min으로 2-10MU을 주어 영상을 얻었다. port film은 Kodak diagnostic film을 사용하였고 film을 넣는 cassette는 납을 전후에 부착한 것을 이용하였다. source to detector(film) distance는 140cm으로 하였다. 영상의 판독은 4명의 치료방사선과 의사에 의해서 시행되었으며 pelvic brim, sacrum, acetabulum, iliopectineal line, symphysis, ischium, obturator foramen, sacroiliac joint를 각각 very clear(1), clear(2), visible(3), not clear(4), not visible(5) 다섯 단계로 나누어 점수를 주었다. 결과 : video camera based EPID를 이용하여 얻은 영상을 비교하여 보았을 때 film을 이용한 port film과 enhancement를 시행하지 않은 portal image는 각 해부학적 구조에서는 차이를 보이지 않았다. 그러나 portal image를 window level로 영상의 변화를 주었을 때는 sacrum과 obturator는 영상의 판독에 도움이 되었다. 또한 portal image를 CLAHE로 enhance를 하였을 때는 모든 해부학적 구조물의 판독이 film보다 용이한 것으로 나타났다. matrix ion chamber type의 EPID를 이용하여 얻은 영상에서도 역시 port film과 영상의 변화를 주지 않은 portal image간에는 커다란 차이를 보이지 않았으나, portal image를 window level로 변화를 주었을 경우는 portal film에 비하여 영상의 질이 더욱 좋아지을 알 수 있었다. 결론 : 방사선 치료를 받는 환자 중에서 골반강의 영상에서는 EPID의 영상의 질은 기존의 port film과 비교하여 차이가 없었으며, window level로 영상에 변화를 주거나 enhance를 하였을 경우는 port film보다 더 나은 영상을 얻을 수 있어 기존의 port film을 대체 할 수 있을 것으로 생각된다.

• 복식
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• 제55권1호
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• pp.1-12
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• 2005

The modern society which is going through the big turbulence of civilization experiences the lost of humanity and the phenomenon that the standard of our thoughts, like those for good and evil, truth and false is not clear anymore as the technology is being improved. This makes us miss the past when everything is simple and the standards are very clear and being attracted by the metaphorical culture symbolizing something from the past, like memories of youth, fantasies, fairy tales or myths and we are now having a great interest in the joy of life and the affluent life. Influenced by this kind of tendency in modern society, the minimalism, which had the great influence in the nineties, went out of fashion and at last the romantic susceptibility seems to be the trend forming the major mood of the late 20th century - the early 21st century. This study focus is: (1) the theoretical aspects of romantic images such as the concept, the historical tendency and the character are considered. (2) the variety and multiplicity of the romantic images is discussed after the romantic image is classified into four types of retro character, natural character, ethnic character, erotic character according to major trends in our modern. The purpose of this study is to understand the romantic images in modern fashion, by analyzing the fashion trends together with the various features of romantic images.

• Journal of Multimedia Information System
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• 제8권2호
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• pp.93-100
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• 2021

Under the time-varying temperature, the high-temperature radiation of forgings and the change of reflection characteristics of oxide skin on the surface of forgings lead to the difficulty of obtaining images to truly reflect the geometric characteristics of forgings. It is urgent to study the clear and reliable acquisition method of hot forging feature image under time-varying temperature to meet the requirements of visual measurement of hot geometric parameters of forgings. Based on this, this chapter first puts forward the quality evaluation method of forging feature image, which provides guarantee for the accurate evaluation of feature image quality. Furthermore, the factors that affect the image quality, such as the radiation characteristics of forgings and the photographic characteristics of cameras, are analyzed, and the imaging spectrum which can effectively suppress the radiation intensity of forgings is determined. Finally, aiming at the problem that the quality of image acquisition is difficult to guarantee due to the drastic change of radiation intensity of forgings under time-varying temperature, an image acquisition method based on minimum signal-to-noise ratio (SNR) based laser light intensity adaptation is proposed, which significantly improves the definition of feature light strips in forging images at high temperature, and finally realizes the clear acquisition of feature images of large-scale hot forging under time-varying temperature.

• The Korean Journal of Physiology and Pharmacology
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• 제24권1호
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• pp.89-99
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• 2020

Although microscopic analysis of tissue slides has been the basis for disease diagnosis for decades, intra- and inter-observer variabilities remain issues to be resolved. The recent introduction of digital scanners has allowed for using deep learning in the analysis of tissue images because many whole slide images (WSIs) are accessible to researchers. In the present study, we investigated the possibility of a deep learning-based, fully automated, computer-aided diagnosis system with WSIs from a stomach adenocarcinoma dataset. Three different convolutional neural network architectures were tested to determine the better architecture for tissue classifier. Each network was trained to classify small tissue patches into normal or tumor. Based on the patch-level classification, tumor probability heatmaps can be overlaid on tissue images. We observed three different tissue patterns, including clear normal, clear tumor and ambiguous cases. We suggest that longer inspection time can be assigned to ambiguous cases compared to clear normal cases, increasing the accuracy and efficiency of histopathologic diagnosis by pre-evaluating the status of the WSIs. When the classifier was tested with completely different WSI dataset, the performance was not optimal because of the different tissue preparation quality. By including a small amount of data from the new dataset for training, the performance for the new dataset was much enhanced. These results indicated that WSI dataset should include tissues prepared from many different preparation conditions to construct a generalized tissue classifier. Thus, multi-national/multi-center dataset should be built for the application of deep learning in the real world medical practice.

• 한국멀티미디어학회논문지
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• 제22권9호
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• pp.1000-1010
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• 2019

Image semantic segmentation and dehazing are key tasks in the computer vision. In recent years, researches in both tasks have achieved substantial improvements in performance with the development of Convolutional Neural Network (CNN). However, most of the previous works for semantic segmentation assume the images are captured in clear weather and show degraded performance under hazy images with low contrast and faded color. Meanwhile, dehazing aims to recover clear image given observed hazy image, which is an ill-posed problem and can be alleviated with additional information about the image. In this work, we propose a deep multi-task network for simultaneous semantic segmentation and dehazing. The proposed network takes single haze image as input and predicts dense semantic segmentation map and clear image. The visual information getting refined during the dehazing process can help the recognition task of semantic segmentation. On the other hand, semantic features obtained during the semantic segmentation process can provide cues for color priors for objects, which can help dehazing process. Experimental results demonstrate the effectiveness of the proposed multi-task approach, showing improved performance compared to the separate networks.

• 한국실내디자인학회논문집
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• 제7호
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• pp.31-37
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• 1996

The purpose of this study is to grasp the characteristics by image type in interior color. This experiment is carried out by the evaluation method of color simulation with the color image processor. And the result of this experimental evaluation is analyzed quantitatively by HAYASI 1 Program. The results of this analysis are as follows : 1) In casual and clear images, the most main colors are GY, PB, Y , and N, Casual image has high chroma and the most arrangement of colors is hue-contrast or contrast -harmony with white. Also the main colors of clear image are in identical or similar harmony with the hues of floor. 2) In romantic, elegant, pretty, and gorgeous images, the most main colors are GY, RP, R , YR and Y and the most arrangement of colors is identical or similar harmony. The romantic image of pastel tone is wholly lighter than the pretty image of bright tone. And elegant image is lower in chroma than romantic images, so generally dark. Also gorgeous image is the vivid tone with high chroma. 3) In chic and modern images, the main colors are the hues of B, PB, high value and low chroma with bright tone. Also, the main colors are in identical or similar harmony with the hues of floor : BG , B, PB and P. 4) In natural and semiclassic images, the main color is the warm color of Y, YR and the most arrangement of colors is identical or similar harmony. Also Semiclassic images is the dull tone with middle value and middle chroma and darker tone than natural image. 5) In dynamic image, the main color is the hue of N, Y, PB and GY and most of color is high chroma. And the most arrangement of colors is value-contrast.

• 복식
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• 제22권
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• pp.119-134
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• 1994

The study was proposed to establish the effective color image planning and to suggest the color combination data for clothing through historic costume. To test the suggested method The Color Image Scale developed in Japan was adapted, For the practical study 21 fashion illustrations of Art Deco period (1910-1930) were selec-ted. Color images analysed from these illustrations were seleted with the key words extracted from political economical social background and art of Art Deco period. Three of the image categories clear modern and dynamic were sutable to express the images of this period. The image categories representing color image of Art Deco costume were dynamic modern classic, casual, clear, nature and gorgeous.

• Journal of Korean Neurosurgical Society
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• 제48권2호
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• pp.153-156
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• 2010

The authors present a rare case of clear cell ependymoma that developed in the cauda equina. A 54-year-old man was admitted to hospital with intermittent lower back pain. A neurological examination conducted on admission revealed no sensory or motor disturbance. Deep tendon reflexes in both lower extremities were normal. Magnetic resonance images demonstrated a 1.0 cm-sized intradural mass at the filum terminale. Gross total resection was performed via total laminectomy of L1 and L2. The tumor was confirmed to be clear cell ependymoma by histopathologic examination. His symptom was relieved after surgery.