http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Hansung Lee (검색결과 106 건)
- 무료
- 기관 내 무료
- 유료
-
Park, In Soo,Lee, Jaewoo,Lee, Gyudo,Nam, Kihwan,Lee, Taewoo,Chang, Woo-Jin,Kim, Hansung,Lee, Sei-Young,Seo, Jongbum,Yoon, Dae Sung,Lee, Sang Woo American Chemical Society 2015 ANALYTICAL CHEMISTRY - Vol.87 No.12
<P>Quantitative detection of the biological properties of living cells is essential for a wide range of purposes, from the understanding of cellular characteristics to the development of novel drugs in nanomedicine. Here, we demonstrate that analysis of cell biological properties within a microfluidic dielectrophoresis device enables quantitative detection of cellular biological properties and simultaneously allows large-scale measurement in a noise-robust and probeless manner. Applying this technique, the static and dynamic biological responses of live B16F10 melanoma cells to the small-molecule drugs such as <I>N</I>-ethylmaleimide (NEM) and [(dihydronindenyl)oxy]alkanoic acid (DIOA) were quantitatively and statistically examined by investigating changes in movement of the cells. Measurement was achieved using subtle variations in dielectrophoresis (DEP) properties of the cells, which were attributed to activation or deactivation of K<SUP>+</SUP>/Cl<SUP>–</SUP> cotransporter channels on the cell membrane by the small-molecule drugs, in a microfluidic device. On the basis of quantitative analysis data, we also provide the first report of the shift of the complex permittivity of a cell induced by the small-molecule drugs. In addition, we demonstrate interesting quantifiable parameters including the drug effectiveness coefficient, antagonistic interaction coefficient, kinetic rate, and full width at half-maximum, which corresponded to changes in biological properties of B16F10 cells over time when NEM and DIOA were introduced alone or in combination. Those demonstrated parameters represent very useful tools for evaluating the effect of small-molecule drugs on the biological properties of cells.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancham/2015/ancham.2015.87.issue-12/ac5041549/production/images/medium/ac-2014-041549_0005.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/ac5041549'>ACS Electronic Supporting Info</A></P>
-
A New Anchor Shot Detection System for News Video Indexing
Hansung Lee,Younghee 1m,Jooyoung Park,Daihee Park 한국지능시스템학회 2008 한국지능시스템학회논문지 Vol.18 No.1
In this paper, we propose a novel anchor shot detection system, named to MASD (Multi-phase Anchor Shot Detection), which is a core step of the preprocessing process for the news video analysis. The proposed system is composed of four modules and operates sequentially: 1) skin color detection module for reducing the candidate face regions; 2) face detection module for finding the key-frames with a facial data; 3) vector representation module for the key-frame images using a non-negative matrix factorization; 4) one class SVM module for determining the anchor shots using a support vector data description. Besides the qualitative analysis, our experiments validate that the proposed system shows not only the comparable accuracy to the recently developed methods, but also more faster detection rate than those of others.
-
A New Anchor Shot Detection System for News Video Indexing
Hansung Lee,Younghee Im,Jooyoung Park,Daihee Park 한국지능시스템학회 2007 한국지능시스템학회 학술발표 논문집 Vol.17 No.2
In this paper, we present a new anchor shot detection system which is a core step of the preprocessing process for the news video analysis. The proposed system is composed of four modules and operates sequentially: 1) skin color detection module for reducing the candidate face regions; 2) face detection module for finding the key-frames with a facial data; 3) vector representation module for the key-frame images using a non-negative matrix factorization; 4) anchor shot detection module using a support vector data description. According to our computer experiments, the proposed system shows not only the comparable accuracy to the recent other results, but also more faster detection rate than others.
-
Anomaly Intrusion Detection Based on Hyper-ellipsoid in the Kernel Feature Space
( Hansung Lee ),( Daesung Moon ),( Ikkyun Kim ),( Hoseok Jung ),( Daihee Park ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.3
The Support Vector Data Description (SVDD) has achieved great success in anomaly detection, directly finding the optimal ball with a minimal radius and center, which contains most of the target data. The SVDD has some limited classification capability, because the hyper-sphere, even in feature space, can express only a limited region of the target class. This paper presents an anomaly detection algorithm for mitigating the limitations of the conventional SVDD by finding the minimum volume enclosing ellipsoid in the feature space. To evaluate the performance of the proposed approach, we tested it with intrusion detection applications. Experimental results show the prominence of the proposed approach for anomaly detection compared with the standard SVDD.
-
Lee, Woong Hee,Lee, Dong Wook,Kim, Hansung The Electrochemical Society 2015 Journal of the Electrochemical Society Vol.162 No.7
<P>Nitrogen-doped carbon catalysts for the oxygen reduction reaction (ORR) were synthesized using the pyrolysis of melamine-based polymer coated carbon black in the presence of cobalt. The linear sweep voltammogram that was recorded in an alkaline solution shows that the ORR activity of the nitrogen-doped carbon catalysts increases significantly close to that of Pt/C when a polymerized melamine is used as a nitrogen precursor instead of a melamine monomer. From the XPS-N 1s analysis, the introduction of the melamine-based polymer positively contributes to the nitrogen doping content and formation of a graphitic-N and pyridinic-N, which is known to be an active site for the ORR. Therefore, based on the quantitative analysis of the experimental results, melamine-based polymer is a promising precursor of nitrogen-doped carbon catalysts for ORR catalysts.</P>
-
-
-
-
EFFECT OF ANISOTROPIC PLASTICITY ON THE PREDICTION OF FORMABILITY OF E-FORM MAGNESIUM ALLOY SHEET
Yongheon Lee,Seungyoon Jung,Hansung Baek,Jinwoo Lee,Moon-Seok Choi,이명규 한국자동차공학회 2019 International journal of automotive technology Vol.20 No.6
In this paper, the formability of E-FORM magnesium alloy sheet (as one of recent alloys for automotive magnesium sheets) is analyzed based on the comparison between the results of actual magnesium (Mg) roof forming and those of finite element (FE) simulations. The FE model considers anisotropic mechanical properties and forming limit diagram (FLD) of the investigated magnesium alloy sheet. Through the coupled experimental and numerical procedure, the dominating factors for improving the accuracy of the numerical simulations are further studied. A commercial finite element analysis program, AUTOFORM®, is used for the simulations, in which identified mechanical properties and forming limit criteria are implemented as functions of temperature and strain rate. The improvement in the prediction of formability during the warm forming of the E-FORM magnesium alloy sheet can be obtained by considering a modified hardening law at large strain region, sheet anisotropy, and the properly measured forming limit curve.
-
이한성(Hansung Lee),송지영(Jiyoung Song),김은영(Eunyoung Kim),이철호(Chulho Lee),박대희(Daihee Park) 한국지능시스템학회 2005 한국지능시스템학회논문지 Vol.15 No.3
본 논문에서는 기존의 침입탐지 모델인 오용탐지 모델과 비정상 탐지 모델의 장점은 유지하되 단점은 보완하는 견지에서 새로운 침입탐지 모델을 제안한다. MMIDS로 명명된 새로운 침입탐지시스템은 다음의 평가 기준들을 모두 만족하는 차원에서 설계되었다: 1) 시스템에서 학습되지 않은 새로운 공격 유형의 신속한 발견; 2) 탐지된 공격 유형에 대한 세부적 정보의 제공; 3) 빠르고 효율적인 학습 및 갱신으로 인한 경제적인 시스템의 유지/보수; 4) 시스템의 점증성(incrementality) 및 확장성. MMIDS의 핵심 구성요소로 새롭게 제안된 다중 클래스 SVM은 빠르고 효율적인 학습 및 갱신이 가능하여 침입탐지 시스템의 유지보수 비용을 절감할 수 있다. 실험을 통해 유사한 공격 패턴에 대한 분류성능 및 각 공격 유형별 세분화 능력이 우수함을 보인다. In this paper, we propose a new intrusion detection model, which keeps advantages of existing misuse detection model and anomaly detection model and resolves their problems. This new intrusion detection system, named to MMIDS, was designed to satisfy all the following requirements : 1) Fast detection of new types of attack unknown to the system; 2) Provision of detail information about the detected types of attack; 3) cost-effective maintenance due to fast and efficient learning and update; 4) incrementality and scalability of system. The fast and efficient training and updating faculties of proposed novel multi-class SVM which is a core component of MMIDS provide cost-effective maintenance of intrusion detection system. According to the experimental results, our method can provide superior performance in separating similar patterns and detailed separation capability of MMIDS is relatively good.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
