Real-Time Analysis of Cellular Response to Small-Molecule Drugs within a Microfluidic Dielectrophoresis Device

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 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.

Development of Nitrogen-Doped Carbon Catalysts Using Melamine-Based Polymer as a Nitrogen Precursor for the Oxygen Reduction Reaction

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>

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.

자율주행차량의 제어권 전환에 대한 HMI 사용자 요구사항

이한성(Hansung Lee),장영진(Youngjin Jang) 한국자동차공학회 2023 한국자동차공학회 학술대회 및 전시회 Vol.2023 No.11

멀티모달 방법론과 텍스트 마이닝 기반의 뉴스 비디오 마이닝

이한성(Hansung Lee),임영희(Younghee Im),유재학(Jaehak Yu),오승근(Seunggeun Oh),박대희(Daihee Park) 한국정보과학회 2010 정보과학회논문지 : 데이타베이스 Vol.37 No.3

정보?통신기술이 발전함에 따라 멀티미디어 데이터를 포함하는 디지털 기록물의 양은 기하급수적으로 증가하고 있다. 특히 뉴스 비디오는 시대상을 반영하는 풍부한 정보를 내포하고 있으므로, 이를 효과적으로 관리하고 분석하기 위한 뉴스 비디오 데이터베이스 및 뉴스 비디오 마이닝은 광범위하게 연구되어왔다. 그러나 현재까지의 뉴스 비디오 관련 연구들은 뉴스 기사에 대한 브라우징, 검색, 요약에 치중되어 있으며, 뉴스 비디오에 내재되어 있는 풍부한 잠재적 지식을 탐사하는 고수준의 의미 분석 단계에는 이르지 못하고 있다. 본 논문에서는 뉴스 비디오 클립과 스크립트를 동시에 이용하는, 멀티모달 방법론과 텍스트 마이닝 기반의 뉴스 비디오 마이닝 시스템을 제안한다. 제안된 시스템은 텍스트 마이닝의 군집분석을 통해 뉴스 기사들을 자동 분류하고, 분류 결과에 대해 기간별 군집 추이그래프, 군집성장도 분석 및 네트워크 분석을 수행함으로써, 뉴스 비디오의 기사별 주제와 관련한 다각적 분석을 수행한다. 제안된 시스템의 타당성 검증을 위하여 “2007년 제2차 남북 정상회담” 관련 뉴스 비디오를 대상으로 뉴스 비디오 분석을 수행하였다. With rapid growth of information and computer communication technologies, the numbers of digital documents including multimedia data have been recently exploded. In particular, news video database and news video mining have became the subject of extensive research, to develop effective and efficient tools for manipulation and analysis of news videos, because of their information richness. However, many research focus on browsing, retrieval and summarization of news videos. Up to date, it is a relatively early state to discover and to analyse the plentiful latent semantic knowledge from news videos. In this paper, we propose the news video mining system based on multi-modal approach and text mining, which uses the visual-textual information of news video clips and their scripts. The proposed system systematically constructs a taxonomy of news video stories in automatic manner with hierarchical clustering algorithm which is one of text mining methods. Then, it multilaterally analyzes the topics of news video stories by means of time-cluster trend graph, weighted cluster growth index, and network analysis. To clarify the validity of our approach, we analyzed the news videos on "The Second Summit of South and North Korea in 2007".

HoG 특징 추출과 SRC 분류기를 이용한 사람 탐지

이한성(Hansung Lee),정호석(Hoseok Jung),문대성(Daesung Moon),유장희(Jang-Hee Yoo) 한국정보과학회 2012 한국정보과학회 학술발표논문집 Vol.39 No.2B

대졸 청년층 고용의 질 유형에 따른 이직 관련성 연구: 잠재 프로파일 분석의 적용

이한성 ( Hansung Lee ),문혜진 ( Hyejin Moon ),이태헌 ( Taehun Lee ) 한국조사연구학회 2022 조사연구 Vol.23 No.2

본 연구는 한국고용정보원의 대졸자 직업이동 경로조사(GOMS) 자료를 기반으로 대졸 청년층 임금근로자를 고용의 질에 따라 유형을 분류한 후, 각 유형과 주요 개인 및 일자리 특성과 취업 준비 특성과의 관련성을 탐색하고, 유형에 따라 이직 의도 및 이직 준비 행동에서 나타나는 차이를 파악하고자 하였다. 본 연구에서는 GOMS의 설문 구조를 바탕으로 고용의 질 측정 도구를 일부 수정하고, 대졸 청년층의 특성을 반영한 직무 적합 차원을 추가하여 고용의 질을 측정하였다. 잠재 프로파일 분석 결과, 불안정 일자리, 좋지 않은 일자리, 도구적 일자리, 일반적 일자리와 이상적 일자리의 총 5개의 유형이 도출되었다. 도출된 고용의 질 유형과 개인 및 일자리 특성 간의 관계에서는 일반적으로 연령이 증가할수록, 남성, 수도권 대학 출신, 기혼일수록 이상적 일자리에 속할 확률이 높았다. 고용의 질 유형과 취업 준비 특성 간의 관계에서는 졸업 학점이 높을수록, 인턴 경험이 있는 경우, 자격증 취득 개수가 많을수록 이상적 일자리에 속할 확률이 높았다. 이직 의도 및 이직 준비 행동과의 관계에서는 전반적으로 고용의 질이 높은 집단에 속할수록 이직 의도와 이직 준비 행동이 상대적으로 낮은 경향을 보였다. 예외적으로, 도구적 일자리와 좋지 않은 일자리는 이직 의도에서 유의한 차이가 없었지만, 도구적 일자리에 속한 청년들은 더 낮은 이직 준비 행동을 보였다. 본 연구는 하위 차원의 질적인 차이를 반영하는 고용의 질 유형을 제시하였다. 또한, 이직 의도와 이직 준비 행동을 구분하여 전반적 고용의 질이 낮은 경우에 경제적 보상과 고용안정성이 실질적인 이직 행동과 관련되었음을 밝혔다. Using Graduates Occupational Mobility Survey (GOMS) data, this study profiled collegegraduated young workers on different types of employment and found that these profiles were distinguished by major individual and job characteristics, job preparation characteristics, turnover intention, and turnover preparation behaviors. To measure the employment quality of college graduates, we modified Quality of Employment Index and added an additional dimension of person-job fit reflecting the characteristics of the research sample. We employed latent profile analysis to identify five employment quality profiles: unstable job, bad job, instrumental job, ordinary job, and ideal job. In search of associations with individual and job characteristics, we found that age, gender (male), education (graduation from metropolitan areas), and marriage predicted a higher likelihood of being classified in ideal job. In addition, we found that higher GPA, internship experience, and the number of certificate of qualification predicted a higher likelihood of being classified in ideal job. Finally, the overall quality of employment predicted lower turnover intention and preparation behaviors. Exceptionally, there was no significant difference in turnover intention between instrumental job and bad job whereas less turnover preparation behavior was found in instrumental job. This study contributed to improving employment quality measurement by presenting employment quality profiles that consider qualitative differences in sub-dimensions. Furthermore, distinguishing actual turnover behaviors from turnover intention, we found that economic compensation and job security were related to actual turnover behavior when the overall quality of employment was low.

선형행렬 부등식을 이용한 타원형 클러스터링 알고리즘

이한성(Hansung Lee),박주영(Jooyoung Park),박대희(Daihee Park) 한국지능시스템학회 2002 한국지능시스템학회논문지 Vol.12 No.4