• 농업과학연구
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• 제33권1호
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• pp.1-10
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• 2006

본 연구는 개발된 품종 특이적인 DNA 표지인자를 이용하여 한우와 비한우의 고기를 판별하고자 하였다. 한우와 유럽종 고기소들의 유전적 차이를 Random amplified polymorphic DNA(RAPD) 분석으로 조사한 바, 홀스타인, 헤어포드, 에버딘엥거스, 리모진 및 시멘탈과 같은 한우가 아닌 유럽 종들의 RAPD 패턴들은 동일하였으나, 한우는 이들과 다른 패턴을 보였다. 한우는 유럽종들에서 모두 검출된 특정의 밴드가 발견되지 않았다. 1.4Kbp인 밴드는 한우와 수입소 고기를 판별해 낼 수 있는 유용한 DNA 표지인자로 인정되었다. 실제로, 한우 673 마리, 홀스타인 141 마리의 혈액시료 및 수입육 115의 고기시료를 가지고 시행한 실험에서 그 DNA 표지인자는 비한우에서는 256두 중 245두에서 검출되었으나, 한우에서는 673두 중 644두의 시료에서 검출되지 않아서, 비한우의 검출율은 95%, 한우의 비검출율은 96%를 보였다. 이러한 결과는 그 DNA 표지인자를 이용하여 한우와 비한우 고기를 판별할 수 있음을 시사하였다. 그러나 두 품종 사이의 교잡종은 한우나 비한우의 RAPD 패턴 중에서 한 가지를 무원칙하게 선택하여 나타내고 있으므로, 이러한 DNA 표지인자만으로서는 판별하기가 어려웠다.

• 정보보호학회논문지
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• 제30권4호
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• pp.657-667
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• 2020

안드로이드 프레임워크는 단 한번의 권한 허용을 통해 앱이 사용자의 정보를 자유롭게 이용할 수 있으며, 유출되는 데이터가 개인정보임을 식별하기 어렵다는 문제가 있다. 따라서 본 논문에서는 어플리케이션을 통해 유출되는 데이터를 분석하여, 해당 데이터가 실제로 개인정보에 해당하는 것인지를 파악하는 기준을 제시한다. 이를 위해 우리는 제어 흐름 그래프를 기반으로 소스와 싱크를 추출하며, 소스에서 싱크까지의 흐름이 존재하는 경우 사용자의 개인정보를 유출하는지 확인한다. 이 과정에서 우리는 구글에서 제공하는 위험한 권한 정보를 기준으로 개인정보와 직결되는 소스와 싱크를 선별하며, 동적분석 툴을 통해 각 API에 대한 정보를 후킹한다. 후킹되는 데이터를 통해 사용자는 해당 어플리케이션이 실제로 개인정보를 유출한다면 어떤 개인정보를 유출하는지 여부를 파악할 수 있다. 우리는 툴을 최신 버전의 API에 적용하기 위해 머신러닝을 통해 최신 버전의 안드로이드의 소스와 싱크를 분류하였으며, 이를 통해 86%의 정확도로 최신 배포 버전인 9.0 안드로이드의 API를 분류하였다. 또한 툴은 2,802개의 APK를 통해 평가되었으며, 개인정보를 유출하는 850개의 APK를 탐지하였다.

• Asian Pacific Journal of Cancer Prevention
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• 제16권14호
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• pp.6093-6097
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• 2015

Background: HPV DNA testing has been recently introduced as an adjunct test to cytology in the follow-up of patients after treatment for cervical lesions using the loop electrosurgical excision procedure (LEEP). The aim of this study was to evaluate the role of HPV testing in the detection of persistent or recurrent disease after LEEP in patients with cervical epithelial lesions in northern Thailand. Materials and Methods: Patients who underwent LEEP as a treatment for histological low-grade (LSIL) or high-grade squamous intraepithelial lesion (HSIL) or worse at Chiang Mai University Hospital between June 2010 and May 2012 were included. Follow-ups were scheduled at 6-month intervals and continued for 2 years using co-testing (liquid-based cytology and Hybrid Capture 2 [HC2]) at 6 months and 24 months and liquid-based cytology alone at 12 and 18 months. Results: Of 98 patients included, the histological diagnoses for LEEP included LSIL in 16 patients, and HSIL or worse in 82 patients. The LEEP margin status was negative in 84 patients (85.7%). At follow-up, 10 patients (10.2%) had persistent/recurrent lesions; 4 among LSIL patients (25.0%) and 6 in the group with HSIL or worse (7.3%). Only 2 of 82 patients (2.4%) with HSIL or worse diagnoses had histological HSIL in the persistent/recurrent lesions. Using histologically confirmed LSIL as the threshold for the detection of persistent/recurrent disease, cytology had a higher sensitivity than HC2 (90.0% versus 70.0%). At the 6-month follow-up appointment, combined cytology and HC2 (co-testing) had a higher sensitivity in predicting persistent/recurrent disease (80.0%) compared with that of cytology alone (70.0%) and HC2 (50.0%). Conclusions: After LEEP with a negative surgical margin, the rate of persistent/recurrent lesions is low. The addition of HPV testing at the 6-month visit to the usual cytology schedule may be an effective approach in the follow-up after LEEP.

• 대한임베디드공학회논문지
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• 제10권4호
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• pp.189-198
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• 2015

Most IoT-related approaches have tried to establish the relation by connecting the network between things. The proposed research will present how the pervasive interaction of eco-system formed by touching the objects between humans and things can be recognized on purpose. By collecting and sharing the detected patterns among all kinds of things, we can construct the environment which enables individualized interactions of different objects. To perform the aforementioned, we are going to utilize technical procedures such as event-driven signal processing, pattern matching for signal recognition, and hardware in the loop simulation. We will also aim to implement the prototype of sensor processor based on Arduino MCU, which can be integrated with system using Arduino-Matlab/Simulink hybrid-interoperation environment. In the experiment, we use piezo transducer to detect the vibration or vibrates the surface using acoustic wave, which has specific frequency spectrum and individualized signal shape in terms of time axis. The signal distortion in time and frequency domain is recorded into memory tracer within sensor processor to extract the meaningful pattern by comparing the stored with lookup table(LUT). In this paper, we will contribute the initial prototypes for the acoustic touch processor by using off-the-shelf MCU and the integrated framework based on Matlab/Simulink model to provide the individualization of the touch-sensing for the user on purpose.

• Asian Pacific Journal of Cancer Prevention
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• 제13권1호
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• pp.91-96
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• 2012

Objectives: To determine the prevalence of HPV and cervical neoplasia among HIV-infected women in southwestern China. Methods: Cervical cytology, HPV detection by Hybrid Capture-$2^{TM}$ assay, and diagnostic colposcopy were followed by cervical biopsy if indicated. Logistic regression analysis was used to analyze associations between HPV co-infection and cervical intraepithelial neoplasia (CIN), and HIV-related clinical and laboratory parameters. Results: Colposcopic-histopathologically proven CIN2+ lesions were present in 7/83 (8.4%) HIV-infected women. Nearly half (41/83, 43%) were co-infected with carcinogenic HPV genotypes. HPV co-infection was higher in women with colposcopic-histopathologically proven CIN2+ lesions than women with $cells/{\mu}L$ had higher CIN2+ prevalence after adjusting for current ART status and age (adjusted OR: 6.3, 95% CI: 1.1, 36.5). Conclusions: HIV/AIDS care and treatment programs should integrate effective cervical cancer prevention services to mitigate the risk of invasive cervical cancer among HIV-infected women in China.

• 인터넷정보학회논문지
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• 제17권5호
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• pp.89-95
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• 2016

In a software testing domain, test case prioritization techniques improve the performance of regression testing, and arrange test cases in such a way that maximum available faults be detected in a shorter time. User-sessions and cookies are unique features of web applications that are useful in regression testing because they have precious information about the application state before and after making changes to software code. This approach is in fact a user-session based technique. The user session will collect from the database on the server side, and test cases are released by the small change configuration of a user session data. The main challenges are the effectiveness of Average Percentage Fault Detection rate (APFD) and time constraint in the existing techniques, so in this paper developed an intelligent framework which has three new techniques use to manage and put test cases in group by applying useful criteria for test case prioritization in web application regression testing. In dynamic weighting approach the hybrid criteria which set the initial weight to each criterion determines optimal weight of combination criteria by evolutionary algorithms. The weight of each criterion is based on the effectiveness of finding faults in the application. In this research the priority is given to test cases that are performed based on most common http requests in pages, the length of http request chains, and the dependency of http requests. To verify the new technique some fault has been seeded in subject application, then applying the prioritization criteria on test cases for comparing the effectiveness of APFD rate with existing techniques.

• Asian Pacific Journal of Cancer Prevention
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• 제16권2호
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• pp.693-697
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• 2015

Our aims were to evaluate the clinical performance of human telomerase RNA gene component (hTERC gene) amplification assay with high-risk human papillomavirus (HR-HPV) DNA test of Hybrid Capture 2 DNA test (HC2), for the detection of high grade cervical precancerous lesions and cancer (CIN 2+). In addition, the association shown between hTERC gene amplification and HPV DNA test positive in women with and without cervical neoplasia was assessed. There were 92 women who underwent cytology, HR-HPV DNA test, hTERC gene amplification test, colposcopy and biopsy. We compared the clinical performance of hTERC gene test along with HR-HPV DNA test of women with colposcopy and routine screening. The samples were histology-confirmed high-grade cervical intraepithelial neoplasia (CIN 2) or worse (CIN2+) as the positive criterion. The test of hTERC gene showed the hTERC gene amplification positivity increased with the severity of histological abnormality and cytological abnormality. The test of hTERC gene showed higher specificity than HR-HPV DNA test for high-grade lesions (84.4% versus 50%) and also higher positive predictive value (90.4% versus 76.5%). Our results predicted that hTERC gene amplification demonstrated more specific performance for predicting the risk of progression and offer a strong potential as a tool for triage in cervical cancer screening, with the limited sensitive as HR-HPV DNA test.

• International Journal of Oral Biology
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• 제35권1호
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• pp.13-19
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• 2010

The DNA probes Pn17 and Pn34 were evaluated for their ability to specifically detect clinical strains of P. intermedia and P. nigrescens from a Korean population by dot blot hybridization. These probes were sequenced by extension termination and their specificity was determined by Southern blot analysis. The results revealed that the Pn17 sequence (2,517 bp) partially encodes an RNA polymerase beta subunit (rpoB) and that Pn34 (1,918 bp) partially encodes both rpoB (1-169 nts) and the RNA polymerase beta subunit (rpoB'; 695-1918 nts). These probes hybridized with both HindIII- and PstI-digested genomic DNAs from the strains of P. intermedia and P. nigrescens used in this study. Interestingly, each of the hybrid bands generated from the HindIII-digested genomic DNAs of the two bacterial species could be used to distinguish between them via restriction fragment length polymorphism. These results thus indicate that Pn17 and Pn34 can simultaneously detect P. intermedia and P. nigrescens.

• 방송공학회논문지
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• 제18권4호
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• pp.559-571
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• 2013

2차원 비디오를 3차원 스테레오 비디오로 변환할 때 기존 비디오에 삽입되어 있는 오버레이 텍스트(overlay text) 그래픽 영역으로 인해 발생하는 문제점을 이 논문에서 제시한다. 이를 해결하기 위한 방법으로 2차원 비디오를 오버레이 텍스트 그래픽 영역만 있는 영상과 오버레이 그래픽 영역이 추출되어 홀(hole)이 있는 영상으로 분리하여 처리하는 시나리오를 제안한다. 그리고 이 시나리오의 첫 번째 단계로 오버레이 텍스트 영역을 검색하고 추출하는 방법에 대해서만 이 논문에서 논한다. 비디오 시퀀스(sequence)가 입력되면 불필요한 연산 과정을 줄이기 위해 해리스 코너(Harris corner)로 얻어진 코너 밀도 맵을 이용하여 프레임 내 오버레이 텍스트의 존재 유무를 먼저 판단한다. 오버레이 텍스트가 있다면, 색(color) 정보와 움직임(motion) 정보를 결합하여 오버레이 텍스트 그래픽 영역을 검색하고 추출한다. 실험에서는 여러 가지 장르의 방송용 비디오에 대한 처리 결과를 보여주고 분석했다.

• Structural Engineering and Mechanics
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• 제72권6호
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• pp.689-712
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• 2019

Time-series models like AR-ARX and ARMAX, provide a robust way to capture the dynamic properties of structures, and their residuals can be effectively used as features for damage detection. Even though several research papers discuss the implementation of AR-ARX and ARMAX models for damage diagnosis, they are basically been exploited so far for detecting the time instant of damage and also the spatial location of the damage. However, the inverse problem associated with damage quantification i.e. extent of damage using time series models is not been reported in the literature. In this paper, an approach to detect the extent of damage by combining the ARMAX model by formulating the inverse problem as a multi-constrained optimization problem and solving using a newly developed hybrid adaptive differential search with dynamic interaction is presented. The proposed variant of the differential search technique employs small multiple populations which perform the search independently and exchange the information with the dynamic neighborhood. The adaptive features and local search ability features are built into the algorithm in order to improve the convergence characteristics and also the overall performance of the technique. The multi-constrained optimization formulations of the inverse problem, associated with damage quantification using time series models, attempted here for the first time, can considerably improve the robustness of the search process. Numerical simulation studies have been carried out by considering three numerical examples to demonstrate the effectiveness of the proposed technique in robustly identifying the extent of the damage. Issues related to modeling errors and also measurement noise are also addressed in this paper.