• Journal of The Korean Radiological Technologist Association
• /
• v.29 no.1
• /
• pp.25-30
• /
• 2003

Purpose : The purpose of this study is to present computer-capturing method of dynamic images on fluoroscopic studies, as a substitution for video-recording method, and to help the quantitative analysis of the dynamic studies. Materials and Methods: Compu

• Genomics & Informatics
• /
• v.12 no.4
• /
• pp.216-224
• /
• 2014

Gastritis is a common but a serious disease with a potential risk of developing carcinoma. Helicobacter pylori infection is reported as the most common cause of gastritis, but other genetic and genomic factors exist, especially single-nucleotide polymorphisms (SNPs). Association studies between SNPs and gastritis disease are important, but results on epistatic interactions from multiple SNPs are rarely found in previous genome-wide association (GWA) studies. In this study, we performed computational GWA case-control studies for gastritis in Korea Associated Resource (KARE) data. By transforming the resulting SNP epistasis network into a gene-gene epistasis network, we also identified potential gene-gene interaction factors that affect the susceptibility to gastritis.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.15 no.3
• /
• pp.153-158
• /
• 2015

Nowadays, automatic keyphrase extraction is considered to be an important task. Most of the previous studies focused only on selecting keyphrases within the body of input documents. These studies overlooked latent keyphrases that did not appear in documents. In addition, a small number of studies on latent keyphrase extraction methods had some structural limitations. Although latent keyphrases do not appear in documents, they can still undertake an important role in text mining because they link meaningful concepts or contents of documents and can be utilized in short articles such as social network service, which rarely have explicit keyphrases. In this paper, we propose a new approach that selects qualified latent keyphrases from input documents and overcomes some structural limitations by using deep belief networks in a supervised manner. The main idea of this approach is to capture the intrinsic representations of documents and extract eligible latent keyphrases by using them. Our experimental results showed that latent keyphrases were successfully extracted using our proposed method.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2019.01a
• /
• pp.433-434
• /
• 2019

이 논문은 공공 빅 데이터를 활용하여 '서울자전거 따릉이'를 기반으로 자전거 교통 데이터베이스 시스템을 제작하고, 제작한 데이터베이스 시스템을 활용하는 예시를 보여주고 있습니다. 데이터베이스 시스템의 제작 과정을 통하여 데이터베이스 설계, 데이터 수집, 제작 및 가공 과정, 데이터베이스 시스템의 유용한 활용 예시를 확인할 수 있습니다. 버스, 택시와 같이 따릉이와 연계할 수 있는 다양한 대중교통 데이터를 추가로 활용한다면 더욱 정확하게 따릉이의 발전방향과 혼잡한 교통 환경 개선을 제시할 수 있는 유용한 정보를 도출할 수 있을 것이다.

• Journal of Information Processing Systems
• /
• v.15 no.4
• /
• pp.967-985
• /
• 2019

Bug report processing is a key element of bug fixing in modern software maintenance. Bug reports are not processed immediately after submission and involve several processes such as bug report deduplication and bug report triage before bug fixing is initiated; however, this method of bug fixing is very inefficient because all these processes are performed manually. Software engineers have persistently highlighted the need to automate these processes, and as a result, many automation techniques have been proposed for bug report processing; however, the accuracy of the existing methods is not satisfactory. Therefore, this study focuses on surveying to improve the accuracy of existing techniques for bug report processing. Reviews of each method proposed in this study consist of a description, used techniques, experiments, and comparison results. The results of this study indicate that research in the field of bug deduplication still lacks and therefore requires numerous studies that integrate clustering and natural language processing. This study further indicates that although all studies in the field of triage are based on machine learning, results of studies on deep learning are still insufficient.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.11a
• /
• pp.941-944
• /
• 2020

신경망 모델 데이터의 양자화는 모델 크기를 줄이고 추론 시간을 단축할 수 있다. 본 논문에서는 양자화를 지원하는 시뮬레이션 플랫폼의 전체 동작 관리를 위한 관리 모듈에 대해 기술한다. 시뮬레이션 플랫폼이 다중 사용자를 지원하고 다양한 기능을 지원하기 때문에 효율적인 관리 모듈의 구현은 중요하다. 관리 모듈은 웹 서비스의 후위단으로 설계되었으며 라우터와 이벤트 수신자, 프로세스 관리자, 파일 관리자, 세션 관리자, 보조 기능 등을 구현하였다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.01a
• /
• pp.493-494
• /
• 2023

해상에서 운항되는 선박에서 인명사고가 발생하면 육상과 달리 적시에 의료지원을 받기 구조적으로 어렵다. 특히 연안선박의 경우 원양선에 비해 상대적으로 고령의 선원들이 승무하고 있기 때문에 인명사고가 빈번하며 인명사고에 취약하다. 본 연구는 AR과 VR과 같은 실감기술을 기반으로하는 연박선박의 원격의료지원 모델 개발하기 위한 방향성을 제시하고자 한다.

• Journal of the Korea Convergence Society
• /
• v.13 no.3
• /
• pp.43-54
• /
• 2022

Simultaneous translation is online decoding to translates with only subsentence. The goal of simultaneous translation research is to improve translation performance against delay. For this reason, most studies find trade-off performance between delays. We studied the experiments of the fixed policy-based simultaneous translation in Korean. Our experiments suggest that Korean tokenization causes many fragments, resulting in delay compared to other languages. We suggest follow-up studies such as n-gram tokenization to solve the problems.

• Proceedings of the Korea Society of Design Studies Conference
• /
• 2004.10a
• /
• pp.194-195
• /
• 2004

• Proceedings of the Korea Society of Design Studies Conference
• /
• 2004.05a
• /
• pp.236-237
• /
• 2004