• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.385-387
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• 2012

MR 영상에서 간의 인식은 간에 존재하는 질병을 파악하는 것뿐만 아니라 간에 대한 치료 방법이나 수술방법을 결정하는 중요한 정보를 제공한다. 이러한 일반적인 간의 인식 방법은 영역 분할 알고리즘을 기반으로 처리되어진다. IT분야에서의 영역 분할 알고리즘은 대부분 밝기 정보, 형태 정보, 패턴 분석 등 다양한 입력 정보의 컴퓨팅 처리를 통해 처리되어 진다. 그러나 이러한 컴퓨팅 방법으로는 앞서 언급된 입력정보들이 의미가 없을 경우, 영역 분할에 많은 제약이 따르게 된다. 따라서 본 논문은 이러한 컴퓨팅 처리의 근본적인 제약사항을 해결하고자, MR 이론의 R2-map정보 기반의 효과적인 영역 분할 방법은 제안하였다. 본 방법은 간 영역이 포함된 영상에서 실험하였으며, R2-map맵의 일부 특징점을 Region growing의 Seed point로 설정하여 경계가 모호하더라도 영역 분할이 가능하게끔 하였다. 해당 영상의 실험 결과 8.5%의 평균 오차로 일반적인 영역 분할 알고리즘에 비해 높은 정확도가 산출되었다.

• Journal of Information Processing Systems
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• v.19 no.4
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• pp.540-553
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• 2023

The hollow letter CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is an optimized version of solid CAPTCHA, specifically designed to weaken characteristic information and increase the difficulty of machine recognition. Although convolutional neural networks can solve CAPTCHA in a single step, a good attack result heavily relies on sufficient training data. To address this challenge, we propose a seed filling algorithm that converts hollow characters to solid ones after contour line restoration and applies three rounds of detection to remove noise background by eliminating noise blocks. Subsequently, we utilize a support vector machine to construct a feature vector for recognition. Security analysis and experiments show the effectiveness of this algorithm during the pre-processing stage, providing favorable conditions for subsequent recognition tasks and enhancing the accuracy of recognition for hollow CAPTCHA.

• Journal of Veterinary Clinics
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• v.8 no.2
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• pp.147-152
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• 1991

Trichophyton mentagrophytes was described as a primary cause of mycotic dermatitis in two young goats housed together in a humid, ill-ventilated and unhygienic byre. The diagnosis in both the cases was established on the detection of fungal element in the skin scrapings by potassium hydroxide technique and isolation of the pathogen in pure growth on mycological medium at 30$^{\circ}C$. The lesions were found on the face of one kid and on the neck and ear of another one. Two adult goats housed in the same enclosure were found to be free from this disease. Further, there was no evidence of ringworm in the goat owner and his family members. Genetic crossing of both the isolates on modified sunflower seed medium indicated that they belonged to (―) mating type. Hair performation test revealed the keratolytic activity of both the strains of T. mentagrophytes. The public health significance and chemotherapy are also discussed. The question of source of infection could not be emphatically established.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1158-1158
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• 2001

Fast and dynamic biochemical, enzymatic and morphological changes occur during the so-called generative development and during the vegetative processes in seeds. The most characteristic biochemical and compositional changes of this period are the formation and decline of storage components or their precursors, the change of their degree in polymerization and an extensive change in water content. The aim of the present study was to detect the maturation processes in seed nondestructively and to verify the applicability of near infrared spectroscopic methods in the measurement of physiological, chemical and biochemical changes in wheat seed. The amount and variation of different water “species” has been changed intensively during maturation. Characteristic changes of three water absorption bands (1920, 1420 and 1150 nm) during maturation were analysed. It was concluded that the free/bound transition of water molecules could be followed sensitively in different region of NIR spectra. Kinetic changes of carbohydrate reserves were characteristic during maturation. An intensive formation and decline of carbohydrate reserves were observed during early stage of maturation (0 -13 days, high energy demand). An accelerated formation of storage carbohydrates (starch) was detected in the second phase of maturation. Five characteristic absorption bands were analysed which were sensitive indicators the changes of carbohydrates occurred during maturation. Precursors of protein synthesis and the synthesis of reserve proteins and their kinetic changes during maturation were followed from NIR spectra qualitative and qualitatively. Dynamic formation of amino acids and the changes of N forms were detected by spectroscopic, chromatographic and by capillary electrophoresis methods. Calibration equations were developed and validated in order to measure the optimal maturation time protein and moisture content of developing wheat seeds. The spectroscopic methods are offering chance and measurement potential in order to detect fine details of physiological processes. The spectra have many hidden details, which can help to understand the biochemical background of processes.

• Journal of Korean Society of Forest Science
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• v.97 no.4
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• pp.357-362
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• 2008

We compared the morphological characters and stable isotopes of seeds of wild simulated ginseng with those of cultivated field ginseng. Seeds were collected from ten areas for wild simulated ginseng and two areas for cultivated field ginseng. The length, width, thickness and number of seeds per gram were measured and the ratio of stable isotopes of carbon and nitrogen was analysed as well. There was a overlapping variation of morphological characters and the ratio of stable isotope of the wild simulated ginseng among study areas. In Geumsan area, compared with the seed of cultivated field ginseng, the seed of wild simulated ginseng was significantly small and light, and the ${\delta}^{15}N$(‰) of wild simulated ginseng was lower than that of cultivated field ginseng. However, it is somewhat impossible to compare the regional variation of the unique value of ${\delta}^{15}N$(‰) among study areas of wild simulated ginseng. We can suggest the value of ${\delta}^{15}N$(‰) can be used as detection factor for cultivation regime like chemical fertilization and organic farming.

• Research in Plant Disease
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• v.13 no.2
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• pp.82-87
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• 2007

The genetic diagnostic method of virion capture (VC)/RT-PCR was developed for the simultaneous detection of three rod shaped viruses of Cucumber green mottle mosaic virus (CGMMV), Kyuri green mottle mosaic virus(KGMMV) and Zucchini green mottle mosaic virus (ZGMMV) transmitted by seed in Cucurbit. Out of 12 primer combinations for the three tobamoviruses, a primer set of CGMMV-C724, KGMMV-K513 and ZGMMV-Z407A was useful for mono and triplex VC/RT-PCR. The triplex VC/RT-PCR for the three tobamovirus in Cucurbit could detect specifically without interference among primers and/or plant species of watermelon, gourd, cucumber, melon, pumpkin, squash and Nicotiana benthamiana.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.4
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• pp.421-430
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• 2010

Image segmentation technique is becoming increasingly important in the field of remote sensing image analysis in areas such as object oriented image classification to extract object regions of interest within images. This paper presents a new method for image segmentation in High Resolution Remote Sensing Image based on Improved Seeded Region Growing (ISRG) and Region merging. Firstly, multi-spectral edge detection was done using an entropy operator in pan-sharpened QuickBird imagery. Then, the initial seeds were automatically selected from the obtained multi-spectral edge map. After automatic selection of significant seeds, an initial segmentation was achieved by applying ISRG to consider spectral and edge information. Finally the region merging process, integrating region texture and spectral information, was carried out to get the final segmentation result. The accuracy assesment was done using the unsupervised objective evaluation method for evaluating the effectiveness of the proposed method. Experimental results demonstrated that the proposed method has good potential for application in the segmentation of high resolution satellite images.

• Research in Plant Disease
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• v.9 no.1
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• pp.1-9
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• 2003

The occurrence of potato(Sotanum tuberosum) viral diseases caused by Potato virus X(PVX), Potato virus Y (PVY), Potato leafroll virus(PLRV), Potato vims S(PVS), Potato virus M(PVM), Potato virus A(PVA), Potato virus T(PVT), Alfalfa mosic virus(AIMV), Tobacco mosic virus(TMV), Potato mop top virus(PMTV) Tobacco rattle virus(TRV) and Potato spindle tuber viroid(PSTVd), potato witches' broom phytoplasma, have been identified so far in Korea. Major viral diseases such as PVX, PVY and PLRV had been studied more deeply, however, the others are just identified and only partially characterized since the first study on the relation between PVX nucleic acid and virus protein by Kim in 1961. The most studies on potato viral diseases are mainly focused on the problems of seed potato production. The National Alpine Agricultural Experiment Station(NAAES), since it began its activities in 1961, has given special attention to this problem by doing studies to identify, characterize and control potato virus diseases. This effort resulted in the development of new potato virus detection methods as a basis for elaborating new method of control, such as the production of seed potato free of virus and the selection of new virus-resistant transgenic potatoes. The further studies of potato viral diseases required would be fallowings: the continuous monitoring for the occurrence of identified or not identified potato viruses in Korea, the isolation of resistant viral genes, the development of control method for the non-persistently transmitted viruses like PVY, special vectors such as nematode and fungus transmitted viruses, TRV and PMTV and the development of control methods against potato viral diseases by viral cross protection, therapy, transgenic plant, and the use of the agents or molecules, such as virus inhibitors and antiviral proteins, etc., blocking viral replication.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.4
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• pp.587-604
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• 2021

Because the library cannot be run independently and used by many applications, it is important to detect vulnerabilities in the library. Fuzzing, which is a dynamic analysis, is used to discover vulnerabilities for the library. Although this fuzzing technique shows excellent results in terms of code coverage and unique crash counts, it is difficult to apply its effects to library fuzzing. In particular, a fuzzing executable and a seed corpus are needed that execute the library code by calling a specific function sequence and passing the input of the fuzzer to reproduce the various states of the library. Generating the fuzzing environment such as fuzzing executable and a seed corpus is challenging because it requires both understanding about the library and fuzzing knowledge. We propose a novel method to improve the ease of library fuzzing and enhance code coverage and crash detection performance by using a test framework. The systems's performance in this paper was applied to nine open-source libraries and was verified through comparison with previous studies.

• Tunnel and Underground Space
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• v.13 no.5
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• pp.373-388
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• 2003

The investigation on the rock discontinuity geometry has been usually undergone by direct measurement on the rock exposures. But this sort of field work has disadvantages, which we, for example, restriction of surveying areas and consuming excessive times and labors. To cover these kinds of disadvantages, image processing could be regarded as an altemative way, with additional advantages such as automatic and objective tools when used under adequate computerized algorithm. This study was focused on the recognition of the rock discontinuities captured in the image of rock exposure by digital camera and the production of the discontinuity map automatically. The whole process was written using macro commands builtin image analyzer, ImagePro Plus. ver 4.1(Media Cybernetic). The procedure of image processing developed in this research could be divided with three steps, which are enhancement, recognition and extraction of discontinuity traces from the digital image. Enhancement contains combining and applying several filters to remove and relieve various types of noises from the image of rock surface. For the next step, recognition of discontinuity traces was executed. It used local topographic features characterized by the differences of gray scales between discontinuity and rock. Such segments of discontinuity traces extracted from the image were reformulated using an algorithm of computer decision-making criteria and linked to form complete discontinuity traces. To verify the image processing algorithms and their sequences developed in this research, discontinuity traces digitally photographed on the rock slope were analyzed. The result showed about 75～80% of discontinuities could be detected. It is thought to be necessary that the algorithms and computer codes developed in this research need to be advanced further especially in combining digital filters to produce images to be more acceptable for extraction of discontinuity traces and setting seed pixels automatically when linking trace segments to make a complete discontinuity trace.