Publications

Refereed International Journal Articles

[IJ25] Usman Javaid Muhammad, Jaewon Seo, Young-Kyoon Suh, and Sung Yeol Kim, “Battery State of Health Estimation from Discharge Voltage Segments using an Artificial Neural Network,” International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 11, pp. 863–876, March 2024 (SCIE, IF=4.2, Q1) (new). 

[IJ24] Sabah Currim, Richard Snodgrass, and Young-Kyoon Suh*, "Identifying the Root Causes of DBMS Suboptimality," ACM Transactions on Database Systems, Vol. 49, Issue 1, Article No. 4, pp. 1 - 40, March 2024 (SCIE, IF = 1.8, Q3, top journal in the DB area)(new). 

[IJ23] Sunwoo Jang, Young-Kyoon Suh*, and Byungchul Tak*, "Understanding File System Operations of a Secure Container Runtime Using System Call Tracing Technique," IEICE Transactions on Information and Systems, Vol.E107-D, No.2, pp. 229-233, February 2024 (SCIE, IF = 0.7, Q4) (new). 

[IJ22] Daewoong Seo, Jeeyoung Kim, Ho-Won Lee, and Young-Kyoon Suh*, "A Deep Neural Network Based Wake-After-Sleep-Onset Time Aware Sleep Apnea Severity Estimation Scheme Using Single-lead ECG Data," IEEE Access, Vol. 11, pp. 43720 - 43732, May 2023 (SCIE, IF = 3.9, Q2). 

[IJ21] Karina Karapetian, Soo Min Jeon, Jin-Won Kwon*, and Young-Kyoon Suh*, "Supervised Relation Extraction Between Suicide-Related Entities and Drugs: Development and Usability Study of an Annotated PubMed Corpus," Journal of Medical Internet Research, Vol. 25, e41100, pp. 1-13, March 2023 (SCIE, IF = 7.4, JCR top 2.4%, Q1). 

[IJ20] Susan Park and Young-Kyoon Suh*, "A Comprehensive Analysis of COVID-19 Vaccine Discourse by Vaccine Brand on Korean Twitter: Topic and Sentiment Analysis," Journal of Medical Internet Research, Vol. 25, e42623, pp. 1-14, January 2023 (SCIE, IF = 7.4, JCR top 2.4%, Q1). 

[IJ19] Junyoung An, Young-Kyoon Suh*, and Byungchul Tak*, "Workload-Driven Analysis on the Performance Characteristics of GPU-Accelerated DBMSes," IEICE Trans. Info. Syst., Vol. E105-D, No. 11, pp.1984-1989, Nov. 2022 (SCIE, IF = 0.7, Q4). 

[IJ18]  Young-Kyoon Suh, Junyoung An, Byungchul Tak*, and Gap-Joo Na*, "A Comprehensive Empirical Study of Query Performance Across GPU DBMSes,"  Proceedings of the ACM on Measurement and Analysis of Computing Systems (a.k.a. ACM SIGMETRICS / IFIP PERFORMANCE 2022), Vol. 6, No. 1, Article 4, March 2022 (BK CS 우수국제학술대회 인정IF3, acceptance ratio: 20.5%) [abstract] [slides] [dataset].  

[IJ17]  Richard T. Snodgrass, Sabah Currim, and Young-Kyoon Suh*, "Have Query Optimizers Hit the Wall?" The VLDB Journal, Vol. 31, pp. 181-200, January 2022 (SCIE, IF = 4.2, Q2). 

[IJ16]  Young-Kyoon Suh, Seounghyeon Kim, Hawon Chu,  Joo-Young Lee, Junyoung An, and Kyong-Ha Lee*, "An Experimental Study Across GPU DBMSes Toward Cost-Effective Analytical Processing," IEICE Trans. Info. Syst. (SCIE), Vol.E104-D, No. 5, pp.551-555, May 2021 (SCIE, IF = 0.695, Q4). 

[IJ15]  Jin-Sung Ok, Soon-Do Kwon, Cheol-Eun Heo, and Young-Kyoon Suh*, "A Survey of Industrial Internet-of-Things Platforms for Establishing Centralized Data Acquisition Middleware: Categorization, Experiment, and Challenge," Scientific Programming, Vol. 2021, Article ID 6641562, April 2021 (SCIE, IF = 1.672, Q4).

[IJ14]  Young-Kyoon Suh, Seounghyeon Kim, and Jeeyoung Kim*, "CLUTCH: A Clustering-Driven Runtime Estimation Scheme for Scientific Simulations," IEEE Access 8: 220710 - 220722, 2020 (SCIE, IF = 3.367, Q1).

[IJ13]  Hawon Chu, Jaeseong Kim, Seounghyeon Kim, Young-Kyoon Suh*, Ryong Lee*, Rae-Young Jang, and Minwoo Park, "ST-Trie: A Novel Indexing Scheme for Efficiently Querying Heterogeneous, Spatiotemporal IoT Data," Sustainability 12(22): 9727, 2020 (SCIE, IF = 3.251, Q1) 

[IJ12]   Seounghyeon Kim, Young-Kyoon Suh*, and Jeeyoung Kim*, "EXTES: An Execution-Time Estimation Scheme for Efficient Computational Science and Engineering Simulation via Machine Learning,"  IEEE Access 7: 98993 - 99002, 2019 (SCIE, IF = 3.745, Q1).

[IJ11]  Jin Ma, Sik Lee, Kum Won Cho*, and Young-Kyoon Suh*, "A Simulation Provenance Data Management System for Efficient Job Execution on an Online Computational Science Engineering Platform," Cluster Computing 22(1): 147-159, 2019 (SCIE, IF = 3.458, Q1).

[IJ10]  Ki Yong Lee and Young-Kyoon Suh*, "A Pattern-Based Outlier Region Detection Method for 2-Dimensional Arrays," Journal of Supercomputing (SUPE) 75(1): 170-188, 2019 (SCIE) (extended version).

[IJ9]   Young-Kyoon Suh and Ki Yong Lee*, "A Survey of Simulation Provenance Systems: Modeling, Capturing, Querying, Visualization, and Advanced Utilization," Human-centric Computing and Information Sciences (HCIS) 8(27): 1–29, 2018 (SCIE).

[IJ8]   Kyong-Ha Lee, Wooram Kang, and Young-Kyoon Suh*, "Improving I/O Efficiency in Hadoop-Based Massive Data Analysis Programs," Scientific Programming 2018: 2682085:1–2682085:9, 2018 (SCIE).

[IJ7]  Young-Kyoon Suh*, Alain Crolotte, and Pekka Kostamaa, "MLPPI Wizard: An Automated Multi-Level Partitioning Tool on Analytical Workloads," KSII Transactions on Information Systems, Vol. 12, No. 4, pp. 1693–1713, 2018 (extended version) (SCIE).

[IJ6]  Young-Kyoon Suh*, "SEDONA: A Novel Protocol for Identifying Infrequent, Long-running Daemons on a Linux System," IEICE Transactions on Information Systems, Vol.E101-D No.1, pp. 239–243, 2018 (SCIE).

[IJ5]  Ki Yong Lee, Young-Kyoon Suh*, and Kum Won Cho, "Development of a Simulation Result Management and Prediction System Using Machine Learning Techniques," International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 19, No. 1, pp. 75–96, 2017 (SCIE).

[IJ4] Young-Kyoon Suh*, Richard T. Snodgrass, and Sabah Currim, "An Empirical Study of Transaction Throughput Thrashing Across Multiple Relational DBMSes," Information Systems (Info. Syst.) 66:119–136, 2017 (SCIE).

[IJ3] Young-Kyoon Suh*, Richard T. Snodgrass, John Kececioglu, Peter J. Downey, Robert S. Maier, and Cheng Yi, "EMP: Execution Time Measurement Protocol for Compute-Bound Programs," Software: Practice and Experience(SPE) 47(4): 559-597, 2017 (SCIE).

[IJ2] Sabah Currim, Richard T. Snodgrass, Young-Kyoon Suh*, and Rui Zhang, "DBMS Metrology: Measuring Query Time," ACM Transactions on Database Systems (TODS) 42(1):3:1–42(+8), 2017 (extended version) (SCIE).

[IJ1] Young-Kyoon Suh*, Bongki Moon, Alon Efrat, Jin-Soo Kim, and Sang-Won Lee, "Memory Efficient and Scalable Address Mapping for Flash Storage Devices," Journal of Systems and Architecture (JSA) 60(4):357–371, 2014 (extended version) (SCIE).

Refereed International Conference Papers 

[IC12] Fatima Abdullah, Mian Muaz Razaq, Youyang Kim, Limei Peng, Young-Kyoon Suh, and Byungchul Tak, "IoT Query Latency Enhancement by Resource-Aware Task Placement in the Fog," in Proc. of the 39th ACM/SIGAPP Symposium On Applied Computing (SAC), to appear, Avila, Spain, April 2024 (new) (BK CS 우수국제학술대회 인정IF1).  

[IC11] Jin-Sung Ok, Youngeun Chae, Harin Seo, Soon-Do Kwon, Byungchul Tak, and Young-Kyoon Suh*, "ECM: An Energy-efficient HVAC Control Framework for Stable Construction Environment," in Proc. of the 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), pp. 249-257, Madrid, Spain, September 2023 (new) (BK CS 우수국제학술대회 인정IF1, acceptance ratio: 23.1%) [code] [dataset].  

[IC10] Young-Kyoon Suh, Junyoung An, Byungchul Tak*, and Gap-Joo Na*, "A Comprehensive Empirical Study of Query Performance Across GPU DBMSes," SIGMETRICS/PERFORMANCE ’22: Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, pp. 51-52, Mumbai, India, June 2022

[IC9] Young-Kyoon Suh, Ki Yong Lee*, and Nakhoon Baek, "PEGASEF: A Provenance-Based Big Data Service Framework for Efficient Simulation Execution on Shared Computing Clusters," in Proc. of the 5th International Conference on Big Data Applications and Services (BIGDAS 2017), Part of the Advances in Intelligent Systems and Computing, vol 770,  pp. 175-182, Jeju Island, Korea, November 2017.

[IC8] Ki Yong Lee and Young-Kyoon Suh*, "Efficient Mining of Time Interval-based Association Rules," in Proc. of The 5th International Conference on Big Data Applications and Services (BIGDAS 2017), Part of the Advances in Intelligent Systems and Computing, vol 770, pp. 121-125 Jeju Island, Korea, November 2017 (Best Paper Award). 

[IC7] Ki Yong Lee and Young-Kyoon Suh*, "An Effective Method for Detecting Outlying Regions in a 2-Dimensional Array," in Proc. of the 5th International Conference on Big Data Applications and Services (BIGDAS 2017), Part of the Advances in Intelligent Systems and Computing, vol 770,  pp. 37-41, Jeju Island, Korea, November 2017.

[IC6] Ki Yong Lee, YoonJae Shin, YeonJeong Choe, SeonJeong Kim, Young-Kyoon Suh*, Jeong Hwan Sa, and Kum Won Cho, "Design and Implementation of a Data-Driven Simulation Service System," in Proc. of Emerging Databases - Technologies, Applications, and Theory (EDB'16), Jeju Island, Korea, October 2016 (Best Paper Award).

[IC5] Sabah Currim, Richard T. Snodgrass, Young-Kyoon Suh, Rui Zhang, Matthew Wong Johnson, and Cheng Yi, "DBMS Metrology: Measuring Query Time," in Proceedings of the 39th ACM SIGMOD Conference (SIGMOD'13), New York City, NY, USA, pp. 421–432, June 2013.

[IC4] Young-Kyoon Suh, Ahmad Ghazal, Alain Crolotte, and Pekka Kostamaa, "A New Tool for Multilevel Partitioning in Teradata," in Proceedings of the 21st ACM International Conference on Information and Knowledge Management(CIKM'12), Maui, HI, USA, pp. 2214–2218, October 2012.

[IC3] Young-Kyoon Suh, Bongki Moon, Alon Efrat, Jin-Soo Kim, and Sang-Won Lee, "Extent Mapping Scheme for Flash Memory Devices," in Proceedings of the 20th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS'12), Arlington, VA, USA, pp. 331–338, August 2012.

[IC2] Byungsang Kim, Dukyun Nam, Young-Kyoon Suh, June Hawk Lee, Kumwon Cho, and Soonwook Hwang, "Application Parameter Description Scheme for Multiple Job Generation in Problem Solving Environment," in Proceedings of the 4th IEEE International Conference on e-Science and Grid Computing (eScience'07), Bangalore, India, pp. 509–515, December 2007.

[IC1] Young-Kyoon Suh, Jin-Hyun Son, and Myoung Ho Kim, "GAGPC: Optimization of Multiple Continuous Queries on Data Streams," in Proceedings of the IASTED International Conference on Database and Applications (DBA'06), Bangalore, India, Innsbruck, Austria, pp. 215–220, February 2006.

Miscellaneous International Papers: Workshops, Posters, and Demos

[MIP9] Youngwoo Jang, Jiseob Byun, Soonbeom Kwon, Illyoung Choi, Dukyun Nam, Byungchul Tak, Gap-Joo Na, and Young-Kyoon Suh*, "K-RAF: A Kubernetes-based Resource Augmentation Framework for Edge Devices," in the Proceedings of the 2023 The 33rd International Symposium on High-Performance Parallel and Distributed Computing (HPDC) (BK CS 우수국제학술대회 인정IF2), Poster Track, to appear, June 2024 (new). 

[MIP8] Youngwoo Jang, Gap-Joo Na, Illyoung Choi, In-Geol Chun, Dukyun Nam, and Young-Kyoon Suh*, "A Resource Provisioning Manager for Edge Devices," in the Proceedings of the 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) (BK CS 우수국제학술대회 인정IF1), pp. 392-393, September 2023. 

[MIP7] Gap-Joo Na, Youngwoo Jang, Harin Seo, Byungchul Tak, and Young-Kyoon Suh*, "Exploring Factors Impacting Data Offloading Performance in Edge and Cloud Environments," in Euro-Par 2023 (BK CS 우수국제학술대회 인정IF1): Parallel Processing Workshops (Lecture Notes in Computer Science, vol 14352), pp. 247-251, August 2023. 

[MIP6] Hawon Chu, Seounghyeon Kim, Joo-Young Lee, and Young-Kyoon Suh*, "Empirical Evaluation Across Multiple GPU-accelerated DBMSes, " in  Proceedings of the 16th International Workshop on Data Management on New Hardware (DaMoN'20) (collocated with SIGMOD/PODS), Article No. 16, pp. 1–3, June 2020 [slides] [presentation].

[MIP5] Young-Kyoon Suh*, Ki Yong Lee, and Nakhoon Baek, "Design of a Provenance-Driven Big Data Service Framework," in Proc. of The 5th International Conference on Big Data Applications and Services (BigDas'17), Jeju Island, Korea, November 2017. 

[MIP4] Young-Kyoon Suh and Jin Ma, "SuperMan: A Novel System for Storing and Retrieving Scientific-Simulation Provenance for Efficient Job Executions on Computing Clusters," in Proceedings of the 5th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'17), Tucson, AZ, USA, pp. 283–288, September 2017 (invited to an SCI journal).

[MIP3] Young-Kyoon Suh, Hoon Ryu, Hangi Kim, and Kum Won Cho, "EDISON: A Web-Based HPC Simulation Execution Framework for Large-Scale Scientific Computing Software," demonstration [poster] in Proceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid'16), Cartagena, Colombia, May 2016 (Best Poster Award).

[MIP2] Young-Kyoon Suh, Richard T. Snodgrass, and Rui Zhang, "AZDBLab: A Laboratory Information System for Large-Scale Empirical DBMS Studies," demonstration [poster] in Proceedings of the VLDB Endowment, 7(13):1641–1644 (VLDB'14), Hangzhou, China, September 2014.

[MIP1] WooLam Kang, Dong-Hoon Choi, Young-Kyoon Suh, and Yoon-Joon Lee, "Integration of Avian Influenza Virus Information Sources for Korea e-Science," demonstration, in Proceedings of the 4th IEEE International Conference on e-Science and Grid Computing (eScience'08), Indianapolis, IN, USA, pp. 372–373, December 2008.

Domestic Papers

Domestic Journal (KCI) Papers

• [DJ14] 박예진, 서영균*, 김지영, "CRUNet: 최적의 특징 추출 조합을 적용한 단일-리드 심전도 데이터 기반 수면 무호흡 분류 모델,"  정보과학회논문지, Vol. 51, No. 6, pp. ??-?? 2024. 06 (new).

• [DJ13] 윤주영, 권순범, 서영균*, "시간 접두어를 활용한 트라이 기반 IoT 데이터 인덱싱 기법,"  정보과학회논문지, Vol. 51, No. 3, pp. 280-292, 2024. 03 (new).

• [DJ12] 서하린, 서영균*, "한글 트위터상의 코로나19 백신 담론에 대한 2단계 동적 토픽 모델링 분석,"  데이타베이스연구, 제39권 1호, pp. 17–32, 2023.04.

• [DJ11] 채영은, 김재성, 옥진성, 서영균*, "LNGC 환경 예측 모델을 이용한 심층 강화학습 기반 에너지-효율적 공조 제어 방법,"  정보과학회논문지, 제49권 제12호, pp. 1062-1070, 2022. 12.

• [DJ10] 추하원, 서영균*, 이용*, 박민우, 장래영, 이상환, 송사광, "방대한 양의 시공간 사물데이터의 효율적인 검색을 위한 트라인 기반 색인 방법,"  정보과학회논문지, 제47권 제12호, pp. 1199-1207, 2020. 12.

• [DJ9] 김서영, 서영균*, "기계 학습 기반 폐쇄성수면무호흡증 진단 연구에 대한 고찰,"  컴퓨터정보학회 논문지,  제25권, 7호, pp. 116-126, 2020. 08.

• [DJ8] 김성현, 서영균*, 탁병철, "고품질 빅데이터 분석을 위한 최적의 전처리 순열 추천 방법," 정보과학회 논문지, 제47권, 3호, pp. 319-327, 2020. 03 (Outstanding Journal Paper).

• [DJ7] 이주영, 차수진, 서영균*, "FLASHer: 유사 주제를 갖는 대량의 뉴스 기사에 대한 군집 기반 중복 제거 방법," 데이터베이스연구, 제35권 제2호, pp. 54-65, 2019.08. 

• [DJ6] 김성현, 서영균* , "계산과학공학 시뮬레이션의 효율화를 위한 기계 학습 기반의 실행 시간 추정 방법," 데이타베이스연구, 제35권 1호, pp. 56–70, 2019.04.

• [DJ5] 마 진, 이 식, 조금원*, 서영균* , "계산과학공학 플랫폼을 위한 실행-이력 기반의 시뮬레이션 데이터 관리 프레임워크 설계 및 구현," 인터넷정보학회논문지, 제19권 1호, pp. 79–88, 2018.02.

• [DJ4] 이기용, 신윤재, 최연정, 김선정, 서영균*, 사정환, 이종숙, 조금원, "통계적 기계학습 기술을 이용한 시뮬레이션 결과 예측 시스템 개발," 정보처리학회논문지: 소프트웨어 및 데이터 공학, 제5권 11호, pp. 593–606, 2016.11.

• [DJ3] 서영균*, 조금원, "국내 계산과학공학 커뮤니티를 위한 웹 기반 사이버-러닝 플랫폼 구축 및 서비스," 인터넷정보학회지, 제17권 4호, pp. 115–125, 2016.08.

• [DJ2] 서영균, 김종욱*, "데이터베이스의 과학에 대한 고찰 및 연구 사례 분석," 정보과학회논문지: 데이터베이스, 제43권 2호, pp. 237–245, 2016.02.

• [DJ1] 김종욱, 서영균*, "아웃소싱 암호화 데이터에 대한 효율적인 Top-K 질의 처리 알고리즘," 정보처리학회논문지: 소프트웨어 및 데이터 공학, 제4권 12호, pp. 543–548, 2015.12.

Domestic Conference Proceedings

• [DC27] 서하린, 서재완, 김홍현, 한동우, 정인욱, 서영균, "군집화를 통한 시계열 에어컨 사용 패턴 분류 모델 탐색", KDBC2023 논문집, pp. 73-76(oral)  (new). 

• [DC26] 박예진, 서영균, 김지영, "단일 리드 심전도 데이터 기반 수면 무호흡 분류 최적화", KDBC2023 논문집, pp. 61-64(oral)  (new). 

• [DC25] 윤주영, 장영우, 서영균 ,"IoT 데이터에 대한 효율적인 시공간 범위 질의 처리를 위한 시간 접두사를 이용한 트라이 기반 인덱싱 기법", KDBC2023 논문집, pp. 15-18(oral)  (new). 

• [DC24] 박인영, 서영균, 김지영, "시계열 데이터 이미지 변환 알고리즘을 이용한 수면 무호흡 분류", KSC2023 논문집, to appear (oral) (인공지능분야: 우수논문상).

• [DC23] 채영은, 김재성, 서대웅. 옥진성, 서영균, "산업 환경에서 자동 제어를 위한 MLOps 시스템 설계 및 구현", KCC2022 논문집, pp.1049-1051(poster).

• [DC22] 채영은, 김재성, 옥진성, 서영균, "안정적인 내부 환경 유지 및 에너지 절약을 위한 강화학습 기반 공조 제어 방법", KSC2021 논문집, pp.738-740(oral) (인공지능분야: 우수논문상).

• [DC21] 안준영, 김재성, 서영균, "한국어 뉴스 기사의 효과적인 검색에 적합한 데이터 관리 시스템 탐색", KSC2021 논문집, pp.290-292(poster).

• [DC20] Karina Karapetian, 서영균, 탁병철, "ReferenceTracker: A Complex Scholarly Graph for Scientific Background Discovering," KCC2021 논문집, pp.475-477(oral).

• [DC19] 서대웅, 서영균, "심전도 신호의 HRV와 RRV를 사용한 수면 단계 분류 기법 ",KCC2021 논문집,pp.712-714(oral).

• [DC18]김재성, 추하원, 김성현, 안준영, 이주영, 서영균, 이용, 박민우, 이상환, 장래영, 송사광 , "이종 IoT 센서 데이터 관리를 위한 계층형 엔진의 설계 및 구현", KSC2020 논문집, pp.130 - 132(oral) (사물인터넷 분야: 최우수논문상).

• [DC17]김서영, 서대웅, 서영균,  "심전도 신호 기반의 폐쇄성수면무호흡증 심각도 분류 모델", KDBC2020 논문집, pp. 83-86(oral).

• [DC16]김재성, 이주영, 안준영, 김서영, 서영균, "단일 문서 요약 모델과 클러스터링을 적용한 주제-핵심어 추출 방법", KDBC2020 논문집, pp. 56-59(oral).

• [DC15]이주영, 안준영, 김재성, 김서영, 서영균, "토픽별 키워드 추출을 위한 한국어 임베딩과 문서 클러스터링 방법", KDBC2020 논문집, pp. 52-55(oral) (우수논문상 동상).

• [DC14]추하원, 서영균, 이용, 장래영, 박민우, 이상환 "대용량 시공간 IoT센서 데이터의 효율적인 검색을 위한 색인 기법", KDBC2020 논문집, pp. 1,199-1,207(oral).

• [DC13]이주영, 김재성, 안준영, 서영균, "단어 사이의 거리를 활용한 Bi-gram 주제-키워드 그래프 생성 시스템 ", KCC2020 논문집, pp 404-406(poster).

• [DC12]김서영, 서대웅, 서영균, "폐쇄성수면무호흡증 진단을 위한 심전도 기반의 호흡 상태 분류 ", KCC2020 논문집, pp. 563-565 (oral).

• [DC11]추하원, 서영균, "GPU 가속 기반 SQL 엔진의 성능 분석에 관한 연구 ", KCC2020 논문집, pp. 130-132(oral).

• [DC10]김성현, 서영균, "계산과학공학 시뮬레이션의 실행 시간 추정을 위한 군집화 기반 기계 학습 기법," KDBC2019 논문집, pp. 26-29 (oral) (우수논문상 은상). 

• [DC9]이주영, 김성현, 전우혁, 서영균, "분석적 워크로드에 대한 인-메모리 GPU DBMS의 실험적 평가," KDBC2019 논문집, pp. 138-140 (poster).

• [DC8]김서영, 김성현, 서영균, "기계 학습 모델을 이용한 수면무호흡증 진단: 조사 및 과제," KCC2019 논문집, pp. 1023–1025 (poster).  

• [DC7]이동주, 이주영, 김성현, 양지혁, 서영균, 탁병철, "CHITAA: 동적 컨테이너 워크플로우 기반 빅데이터 분석 플랫폼," KCC 2019 논문집, pp. 1,415–1,417 (oral).  

• [DC6]김성현, 전우혁, 이주영, 서영균, "GPU DBMS의 분석 처리 성능에 대한 교차 평가," KCC 2019 논문집, pp. 133–135 (oral).  

• [DC5]차수진, 이주영, 김재성, 서영균, "FLASH: 많은 수의 뉴스 기사를 중복 제거할 수 있는 메모리-효율적이고 확장성 있는 방법," KCC 2019 논문집, pp. 97–93 (oral).  

• [DC4]정현태, 김성현, 서영균, "시뮬레이션-이력 데이터 분석 서비스 프레임워크의 설계 및 구현," KCSE 2019 제21권 1호, pp. 293–297 (oral).  

• [DC3]전재민, 김성현, 서영균, "수면 데이터 분석 플랫폼 설계 및 구현," KCSE 2019 제21권 1호, pp. 285–287 (oral).  

• [DC2]이주영, 서영균, "SCOUTER: 대용량 문서 집합에 대한 효율적인 검색을 지원하는 확장성 있는 문서 리파지토리 관리자," KDBC2018 논문집, pp. 96–99 (oral).  

• [DC1]김성현, 서영균, "기계학습 기법을 활용한 시뮬레이션 실행 시간 추정 알고리즘," KDBC2018 논문집, pp. 85–88 (oral). 

Patents

Domestic Patents

• [DP7] "사물데이터 관리장치 및 그 동작 방법," 특허출원: 10-2021-0060165, 2021.05.10, 대한민국. 

• [DP6] "생체신호를 이용한 수면 호흡 상태 분류 장치 및 방법," 특허등록: 10-2645586,  2024.03.05, 대한민국 (출원번호: 10-2021-0173772, 2021.12.08) (new). 

• [DP5]  "군집 기반 중복문서 제거 장치 및 제거 방법," 특허등록: 10-2373146, 2022.03.07, 대한민국 (출원번호: 10-2020-0035384, 2020. 03). 

• [DP4] "시뮬레이션 실행 시간 예측 장치 및 예측 방법," 특허등록: 10-2304321, 2021.09.14, 대한민국 (출원번호: 10-2020-0010327, 2020. 01). 

• [DP3] "유동해석 관리를 위한 장치 및 방법," 특허등록: 10-1849170, 2018.04.10, 대한민국. 

• [DP2] "시뮬레이션 관리를 위한 장치 및 방법," 특허등록: 10-1829279, 2018.02.08, 대한민국. 

• [DP1] "시뮬레이션 결과 예측 방법 및 장치," 특허등록: 10-1729694, 2017.04.18, 대한민국.