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아이의 안전한 성장을 위한 실시간 IOT 다기능 요람 서비스
강성은(SeongEun KANG),박경용(KyunGyung PARK),유무종(MooJong YU),남중길(JoongGil NAM),오지원(JiWon OH),류정규(JeongGyu Ryu),문상국(SangKug MOON) 한국정보기술학회 2019 Proceedings of KIIT Conference Vol.2019 No.11
요람은 요람의 단일 기능만을 사용할 수 있다. 그러나 우리가 제작하는 요람은 36개월 이하의 성장기 아이들의 하루 평균 수면 시간을 파악할 수 있고 일별, 주별, 월별 그래프로 나타내어 아이들이 적절하게 수면하고 있는지를 파악할 수 있다. 또한, 아이들의 낙상사고를 방지하기 위하여 개발한 방법은 부모님이 좀 더 안심하고 다른 일을 할 수 있게 한다. 그리고 부가적으로 들어있는 온·습도 센서와 가스 센서, 미세먼지 센서 등 아이들을 위한 많은 기능의 정보들을 APP을 통해 제공하고자 한다. The current cradle can only use a single function of the cradle. However, the cradle we make can show the average sleep time of growing children and show them in daily, weekly and monthly graphs to see if they are sleeping properly. In addition, the method developed to prevent the fall of children allows parents to do other things with more peace of mind. In addition, the APP will provide information on many functions for children, such as temperature and humidity sensors, gas sensors, and fine dust sensors.
강성은(Seongeun Kang),응웬부렁(Nguyen Vu Long),정수환(Souhwan Jung) 한국정보보호학회 2018 정보보호학회논문지 Vol.28 No.3
본 연구는 안드로이드 정적분석을 기반으로 추출된 AndroidManifest 권한 특징을 통해 악성코드를 탐지하고자 한다. 특징들은 AndroidManifest의 권한을 기반으로 분석에 대한 자원과 시간을 줄였다. 악성코드 탐지 모델은 1500개의 정상어플리케이션과 500개의 악성코드들을 학습한 SVM(support vector machine), NB(Naive Bayes), GBC(Gradient Boosting Classifier), Logistic Regression 모델로 구성하여 98%의 탐지율을 기록했다. 또한, 악성앱 패밀리 식별은 알고리즘 SVM과 GPC (Gaussian Process Classifier), GBC를 이용하여 multi-classifiers모델을 구현하였다. 학습된 패밀리 식별 머신러닝 모델은 악성코드패밀리를 92% 분류했다. This study focuses on detection of malicious code through AndroidManifest permissoion feature extracted based on Android static analysis. Features are built on the permissions of AndroidManifest, which can save resources and time for analysis. Malicious app detection model consisted of SVM (support vector machine), NB (Naive Bayes), Gradient Boosting Classifier (GBC) and Logistic Regression model which learned 1,500 normal apps and 500 malicious apps and 98% detection rate. In addition, malicious app family identification is implemented by multi-classifiers model using algorithm SVM, GPC (Gaussian Process Classifier) and GBC (Gradient Boosting Classifier). The learned family identification machine learning model identified 92% of malicious app families.
김병탁,김선정,Seongeun Kang 한국분자세포생물학회 2012 Molecules and cells Vol.34 No.5
Mbu-1 (Csrnp-3) is a mouse gene that was identified in our previous study as showing highly restricted expres-sion to the central nervous system. In this study, to eluci-date the regulatory mechanism for tissue specificity of the gene, epigenetic approaches that identify the profiles of CpG methylation, as well as histone modifications at the promoter region were conducted. Methylation-specific PCR revealed that the CpG sites in brain tissues from embryo to adult stages showed virtually no methylation (0.052- 0.67%). Lung (9.0%) and pancreas (3.0%) also showed lower levels. Other tissues such as liver, kidney, and heart showed much higher methylation levels ranging from approximately 39-93%. Treatment of 5-aza-2-deoxycytidine (5-Aza-dC) significantly decreased promoter methylation, reactivating Mbu-1 expression in NG108-15 and Neuro-2a neuronal cells. Chromatin immunoprecipitation assay revealed that 5-Aza-dC decreased levels of acetylated H3K9 and methylated H3K4, and increased methylated H3K9. This result indicates that CpG methylation converses with histone modifications in an opposing sense of regulating Mbu-1 expression.
김주희,김선정,Seongeun Kang,김태우,Lihong Yin,Ran Liu 한국분자세포생물학회 2012 Molecules and cells Vol.33 No.2
Epigenetic methylation change is a major process that occurs during cancer development. Even though many tumor-related genes have been identified based on their relationship between methylation and expression, few studies have been conducted to investigate the relevant biological pathways involved in these changes. To identify essential pathways likely to be affected by methylation in breast cancer, we examined a pool of genes in which expression was upregulated after induction of demethy-lation by 5-Aza-2'-deoxycytidine (Aza) in the MCF-7 breast cancer cell line. Genome-wide demethylation was confir-med by monitoring the demethylation of a previously known gene, SULT1A1. Overall, 210 and 213 genes were found to be upregulated and downregulated (fold change > 2), respectively, in common in cells treated with 5 and 10 M of Aza. Network analysis of these 423 genes with altered expression patterns identified the involvement of a cancer related network of genes that were heavily regulated by TNF-alpha in breast tumorigenesis. Our results suggest that epigenetic dysregulation of cellular processes relevant to TNF-alpha-dependent apoptosis may be intimately involved in tumorigenesis in MCF-7 cells.
산업부산물(플라이애시)과 실리카퓸을 재활용한 숏크리트의 환경유해성 평가
박철우(Park Cheolwoo),심종성(Sim Jongsung),강태성(Kang Taesung),박성은(Park Seongeun) 대한토목학회 2010 대한토목학회논문집 C Vol.30 No.3
최근 산업발전에 따른 천연자원 고갈, 공해물질 배출, 폐기물 발생 등과 같은 부가적인 문제는 세계적으로 이슈화되고 있다. 현재 국내 산업부산물은 연간 600만 톤이 발생하며, 매립, 소각, 저장과 같은 1차원적인 처리에도 한계가 발생하고 있는 실정이다. 본 연구에서는 산업폐기물인 플라이애시 재활용 연구의 일환으로 플라이애시와 실리카퓸을 숏크리트에 활용하여 자원의 재활용 문제뿐만 아니라 숏크리트에 적용함으로써 플라이애시의 사용을 확대하고자 한다. 그러나 숏크리트에 적용하기에 앞서 최근 범지구적으로 이슈화되고 있는 환경문제에 보다 적극적으로 대처하기 위하여 환경유해성 평가가 반드시 필요하며, 본 연구에서는 예비 배합 및 압축강도 시험을 통해 도출한 10가지 배합에 대하여 화학성분 분석시험과 중금속 용출시험을 통해 환경 영향평가를 실시하였다. 압축강도 시험결과, 모든 배합에서 국내외 기준을 만족하는 것으로 나타났으며, 중금속 용출시험의 경우 Cr, Cd, Hg 성분은 검출되지 않고 Pb 성분은 플라이애시가 함유된 일부분의 경우에서만 검출되었다. 그리고 Cu, As 성분이 모든 배합에서 검출되었으나 국내외 기준에 모두 만족하는 결과를 얻을 수 있었다. The problems such as natural resource exhaustion, pollutant emission and waste generation are increasing worldwide with the industrial development. The quantity of the industrial by-product in Korea is 6 million tons a year, and even its basic treatment processes including landfill, incineration and storage have reached their limits. In this study, fly ash and silica fume were applied to shotcrete to develop a method for the reuse of resources and to increase the use of fly ash, which is an industrial waste. An environmental hazard evaluation is a must to actively address the worldwide environmental problems, though. Therefore, an environmental impact assessment was conducted using the chemical content analysis test and heavy metal exudation test, for ten mixtures that were obtained through the pre-mixing and compressive strength tests. The results of the compressive strength test showed that all mixtures satisfied national and international standards. Cr, Cd and Hg were not detected, and Pb was detected only in some cases with fly ash. Cu and As were detected in all mixtures, but all of them satisfied national and international standards.
Android Rooting: An Arms Race between Evasion and Detection
Nguyen-Vu, Long,Chau, Ngoc-Tu,Kang, Seongeun,Jung, Souhwan Hindawi Limited 2017 Security and communication networks Vol.2017 No.-
<P>We present an arms race between rooting detection and rooting evasion. We investigate different methods to detect rooted device at both Java and native level and evaluate the counterattack from major hooking tools. To this end, an extensive study of Android rooting has been conducted, which includes the techniques to root the device and make it invisible to the detection of mobile antimalware product. We then analyze the evasion loopholes and in turn enhance our rooting detection tool. We also apply evasion techniques on rooted device and compare our work with 92 popular root checking applications and 18 banking and finance applications. Results show that most of them do not suffice and can be evaded through API hooking or static file renaming. Furthermore, over 28000 Android applications have been analyzed and evaluated in order to diagnose the characteristics of rooting in recent years. Our study shows that rooting has become more and more prevalent as an inevitable trend, and it raises big security concerns regarding detection and evasion. As a proof of concept, we have published our rooting detection application to Google Play Store to demonstrate the work presented in this paper.</P>