• 대한방사선기술학회지:방사선기술과학
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• 제36권2호
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• pp.141-148
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• 2013

CT 검사 시 뇌출혈의 부위는 심각한 정도에 따라 인지하기 어려운 경우도 있으며, 응급상황에서 숙련이 되지 않은 의료진에게는 부담을 준다. 응급상황에서 검사와 동시에 뇌출혈부위를 자동으로 빨리 파악하고 정량적인 정보를 제공하는 보조적인 역할은 필요하며, 컴퓨터를 이용한 자동 검출 및 인식 시스템은 출혈부위 진단에 매우 큰 도움을 줄 수 있다. 본 연구에서는 출혈부위를 문턱치값 처리, 모폴로지 연산, 원형률 계산을 접목하여 뇌 출혈부위의 자동검출에 성공하였고 검출 후보군에서 잘 못 선정된 영역을 판정하기위한 주성분분석을 이용한 분류기 개발에 성공하였다. 개발된 시스템을 응급상황의 뇌출혈 환자에게 적용한다면 의료진에게 수술계획을 위한 유용한 정보가 될 것으로 사료된다.

• 정보보호학회논문지
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• 제22권3호
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• pp.545-552
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• 2012

최근 우리는 급격한 정보통신 기술의 발달로 큰 변화를 겪었으며, 기존의 기반 시설들 및 서비스들이 정보통신기술과 융합되면서, 다시 한 번 환경 변화를 눈앞에 두고 있다. 정보통신의 발달은 이러한 이점들 외에도 여러 부작용을 낳고 있으며, 이러한 부작용들은 금전적 피해뿐만 아니라 국가적인 재난 상황으로 발전될 소지가 있다. 따라서 이들에 대한 탐지 및 신속한 대응이 중요하며, 이와 관련한 많은 시도가 이루어지고 있다. 이러한 예로는 침입탐지시스템이 있을 수 있다. 그러나 침입탐지시스템은 특정 트래픽이나, 파일이 악성인지 여부를 판단하는데 중점을 두고 있으며, 현재까지 변종이나 새롭게 개발된 악성 코드에 대한 탐지는 힘들다. 따라서 본 논문에서는 네트워크의 현재의 상황과 과거의 상황들을 비교하여, 현재 시점의 네트워크 모델이 정상인지 비정상인지를 판단할 수 있는 방법에 대해 제안한다.

• International Journal of Computer Science & Network Security
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• 제23권7호
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• pp.186-192
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• 2023

Malwares are becoming a major problem nowadays all around the world in android operating systems. The malware is a piece of software developed for harming or exploiting certain other hardware as well as software. The term Malware is also known as malicious software which is utilized to define Trojans, viruses, as well as other kinds of spyware. There have been developed many kinds of techniques for protecting the android operating systems from malware during the last decade. However, the existing techniques have numerous drawbacks such as accuracy to detect the type of malware in real-time in a quick manner for protecting the android operating systems. In this article, the authors developed a hybrid model for android malware detection using a decision tree and KNN (k-nearest neighbours) technique. First, Dalvik opcode, as well as real opcode, was pulled out by using the reverse procedure of the android software. Secondly, eigenvectors of sampling were produced by utilizing the n-gram model. Our suggested hybrid model efficiently combines KNN along with the decision tree for effective detection of the android malware in real-time. The outcome of the proposed scheme illustrates that the proposed hybrid model is better in terms of the accurate detection of any kind of malware from the Android operating system in a fast and accurate manner. In this experiment, 815 sample size was selected for the normal samples and the 3268-sample size was selected for the malicious samples. Our proposed hybrid model provides pragmatic values of the parameters namely precision, ACC along with the Recall, and F1 such as 0.93, 0.98, 0.96, and 0.99 along with 0.94, 0.99, 0.93, and 0.99 respectively. In the future, there are vital possibilities to carry out more research in this field to develop new methods for Android malware detection.

• Clinical and Experimental Pediatrics
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• 제48권9호
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• pp.976-985
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• 2005

목 적 : 인플루엔자는 소아 호흡기 질환의 중요한 원인이 되고 있으며, 심각한 합병증과 사망률을 가진다. 예방 및 치료를 위해 효과적인 항바이러스제 치료가 필요하지만 소아에서 항바이러스제 치료는 일반적이지 않으며, 그에 대한 자료도 부족한 실정이다. 본 연구에서는 neuraminidase의 억제제로서 인플루엔자 A와 B 바이러스에 모두 효과를 가지는 경구 oseltamivir의 효과에 대해 연구함으로써 앞으로 소아의 인플루엔자 치료에 있어서의 도움을 제공하려 한다. 방 법 : 2004년 1월부터 6월까지 부산 메리놀병원 외래, 입원 및 응급실 방문 환아 중 인플루엔자 바이러스 감염이 의심이 되는 환아 621명에서 인후도찰물 및 콧물을 채취하여 인플루엔자 바이러스 배양을 실시하였고, QuickVue test를 시행하였다. QuickVue test에 양성을 보인 181명의 환아들을 oseltamivir를 사용한 군과 사용하지 않은 군으로 나누었고, 이들의 임상 양상과 진단을 비교함으로써 oseltamivir의 치료 효과에 대하여 후향적으로 조사, 분석하였다. 결 과 : 연구기간 동안 621명의 인플루엔자 의심 환아 중 79 명(17.2%)에서 인플루엔자 바이러스가 분리되었고, QuickVue 인플루엔자 테스트에 양성을 보인 환아는 181명이었다. QuickVue 인플루엔자 테스트에 양성을 보인 181명 중 83명에서 oseltamivir를 5일간 하루 2회 사용하여 oseltamivir 사용군으로, 98 명은 증상 완화제만을 사용하여 oseltamivir 비사용군으로 정하였다. 두 집단간에 임상 증상과 진단은 차이가 없었고, oseltamivir 사용군에서 발열 기간의 의미 있는 감소를 확인할 수 있었다. 본 연구 기간 동안에는 인플루엔자 감염으로 인해 구토나, 구역, 복통을 호소하는 경우는 있었지만, 약물 투여로 인해 이들 증상이 악화되거나, 그로 인해 약물을 중단한 경우는 1례도 없었다. 결 론 : 본 연구 결과를 통해 소아에서 인플루엔자 치료에 oseltamivir를 사용함으로써 부작용 없이 발열 기간과 다른 호흡기 증상을 감소시킬 수 있음을 알 수 있다.

• 대한원격탐사학회지
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• 제33권2호
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• pp.213-230
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• 2017

위성기반 적조 탐지 알고리즘들은 특정 해역, 적조 종을 중심으로 개발되어 왔다. 하지만 한반도 주변해역의 빠르고 정확한 적조 감시를 위해서는 한반도 주변의 전 발생 해역과 다양한 적조 종을 대상으로 한 연구가 필수적이다. 본 연구에서는 한반도 주변해역을 대상으로 GOCI 영상을 활용하여 적조 영역의 스펙트럼 특성과 위성기반 적조 탐지 알고리즘의 적합성을 분석하였다. 그 결과, 적조 종들의 클로로필 함량과 적조가 출현하는 해역의 탁도에 따라서 스펙트럼 특성이 달라졌다. 또한 기존 적조 탐지 알고리즘을 GOCI 영상에 적용하였으며, 이를 통해 기존 임계값으로는 적조 영역 추출에 한계가 있음을 알 수 있었다. 이를 개선하기 위해 적조 종들을 클로로필 함량의 차이에 따라 두 그룹으로 나누어 적조 감시 체계를 제시하였다. 총 5 단계를 거쳐 적조 영역과 비적조 영역을 구분하였으며, 적조 속보를 기준으로 했을 경우 최종 추출된 적조영역이 기존 알고리즘으로 추출된 영역에 비해 적절한 결과를 나타냈다. 이러한 적조 감시 체계를 활용한다면 한반도 주변의 모든 해역과 다양한 적조 종에 대한 빠르고 정확한 감시로 인해 효율적인 적조 감시가 가능할 것이다.

• Journal of Plant Biotechnology
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• 제5권2호
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• pp.83-86
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• 2003

A reverse transcription polymerase chain reaction (RT-PCR) protocol was developed using two specific 22-mer primers located in coat protein gene of SPFMV. A 411 bp PCR-product was detected in virus infected plants as well as tissue culture raised sweet potato but not in healthy plants. For optimization of RT-PCR protocol, the optimum crude nucleic acid concentration, annealing temperature, primer concentration and numbers of PCR-cycle for maximum sensitivity and specificity were determined. The optimum condition for RT-PCR was as follows: RT-PCR reaction mixture was one-step mixture, containing 50 pmol of primer, 30 units of reverse transcriptase, 5 units of RNasin, and the crude nucleic acid extracts (200 ng). In RT-PCR, cDNA was synthesized at $42^{\circ}C$ for 45 min before a quick incubation on ice after pre-denaturation at $95^{\circ}C$ for 5 min. The PCR reaction was carried out for 40 cycles at $96^{\circ}C$ for 30 see, $63^{\circ}C$ for 30 sec, $72^{\circ}C$ for 1 min, and finally at $72^{\circ}C$ for 10 min. The viral origin of the amplified product was confirmed by sequencing, with the sequence obtained having $95-98\%$ homology with published sequence data for SPFMV. The benefits of this RT-PCR based detection of SPFMV would be simple, rapid and specific.

• 대한원격탐사학회지
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• 제23권5호
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• pp.409-420
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• 2007

Since 1988, pine wilt disease has spread over rapidly in Korea. It is not easy to detect the damaged pine trees by pine wilt disease from conventional remote sensing skills. Thus, many possibilities were investigated to detect the damaged pines using various kinds of remote sensing data including high spatial resolution satellite image of 2000/2003 IKONOS and 2005 QuickBird, aerial photos, and digital airborne data, too. Time series of B&W aerial photos at the scale of 1:6,000 were used to validate the results. A local maximum filtering was adapted to determine whether the damaged pines could be detected or not at the tree level from high resolution satellite images, and to locate the damaged trees. Several enhancement methods such as NDVI and image transformations were examined to find out the optimal detection method. Considering the mean crown radius of pine trees, local maximum filter with 3 pixels in radius was adapted to detect the damaged trees on IKONOS image. CIR images of 50 cm resolution were taken by PKNU-3(REDLAKE MS4000) sensor. The simulated CIR images with resolutions of 1 m, 2 m, and 4 m were generated to test the possibility of tree detection both in a stereo and a single mode. In conclusion, in order to detect the pine tree damaged by pine wilt disease at a tree level from satellite image, a spatial resolution might be less than 1 m in a single mode and/or 1 m in a stereo mode.

• The Plant Pathology Journal
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• 제38권3호
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• pp.229-238
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• 2022

Fusarium wilt caused by Fusarium oxysporum f. sp. niveum (Fon) is the most serious soil-borne disease in the world and has become the main limiting factor of watermelon production. Reliable and quick detection and quantification of Fon are essential in the early stages of infection for control of watermelon Fusarium wilt. Traditional detection and identification tests are laborious and cannot efficiently quantify Fon isolates. In this work, a real-time polymerase chain reaction (PCR) assay has been described to accurately identify and quantify Fon in watermelon plants and soil. The FONRT-18 specific primer set which was designed based on identified specific sequence amplified a specific 172 bp band from Fon and no amplification from the other formae speciales of Fusarium oxysporum tested. The detection limits with primers were 1.26 pg/µl genomic DNA of Fon, 0.2 pg/ng total plant DNA in inoculated plant, and 50 conidia/g soil. The PCR assay could also evaluate the relationships between the disease index and Fon DNA quantity in watermelon plants and soil. The assay was further used to estimate the Fon content in soil after disinfection with CaCN₂. The real-time PCR method is rapid, accurate and reliable for monitoring and quantification analysis of Fon in watermelon plants and soil. It can be applied to the study of disease diagnosis, plant-pathogen interactions, and effective management.

• International Journal of Computer Science & Network Security
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• 제24권3호
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• pp.125-134
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• 2024

The novel coronavirus 2019 is called COVID-19 has outspread swiftly worldwide. An early diagnosis is more important to control its quick spread. Medical imaging mechanics, chest calculated tomography or chest X-ray, are playing a vital character in the identification and testing of COVID-19 in this present epidemic. Chest X-ray is cost effective method for Covid-19 detection however the manual process of x-ray analysis is time consuming given that the number of infected individuals keep growing rapidly. For this reason, it is very important to develop an automated COVID-19 detection process to control this pandemic. In this study, we address the task of automatic detection of Covid-19 by using a popular deep learning model namely the VGG19 model. We used 1300 healthy and 1300 confirmed COVID-19 chest X-ray images in this experiment. We performed three experiments by freezing different blocks and layers of VGG19 and finally, we used a machine learning classifier SVM for detecting COVID-19. In every experiment, we used a five-fold cross-validation method to train and validated the model and finally achieved 98.1% overall classification accuracy. Experimental results show that our proposed method using the deep learning-based VGG19 model can be used as a tool to aid radiologists and play a crucial role in the timely diagnosis of Covid-19.

• Asian-Australasian Journal of Animal Sciences
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• 제11권5호
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• pp.498-502
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• 1998

The present study was designed, fIrst to develop the new methodology to measure the bioluminescence activity easily in live developing bovine embryos by photoncounting, and secondly to compare the expression efficiency of four luciferase reporter genes in bovine embryos at four- to 16-cell stages. In experiment 1, equimolar pSVlacZ and pSVEluc were microinjected into the pronucleus of fertilized bovine oocytes. At 2 days after micro injection, bioluminescence activity of these embryos was measured by photoncounting with a luminometer for 1 min, and lacZ gene expression in the same embryos was assayed by X-gal staining. All the luciferase-positive oocytes showed some bacterial ${\beta}$-galactosidase activity irrespective of the intensity. In experiment 2, four firefly luciferase genes (pTKEluc, pTK6WEluc, pSVEluc and pMiwluc) were introduced by micro injection, and the injected embryos were cultured for the following 2 days. Detection of the luciferase gene expression was done by photoncounting at 5 to 55 min. Over the measurement period, the luciferase activity was almost constant irrespective of the transgenes microinjected. The luciferase activity and expression efficiency at 2 days after microinjection were not significantly affected by the difference in the microinjected transgenes. The present results demonstrated that the bioluminescence activity in live developing bovine embryos could be measured quickly by photoncounting.