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최근 유튜브와 모바일 플랫폼 환경에서 짧고 강렬한 콘텐츠를 뜻하는 숏폼(short-form) 콘텐츠가 급증하고 있다. 콘텐츠의 홍수 속에서 핵심 내용 파악이 용이하여 시간 투자 대비 높은 만족감을 얻을 수 있기 때문이다. 숏폼 콘텐츠에서 핵심 내용의 간결하고 효율적인 표현을 위해 이미지(사물, 사람)와 한글 자모의 조합으로 구성된 특수 자막을 사용한다. 그러므로 일반적인 형태의 자막이 아닌 특수한 형태로 표현되는 특수 자막을 추출하는 방법이 필요하다. 본 논문에서는 숏폼 콘텐츠들에 존재하는 자막 자동식별 시스템을 제안한다. 숏폼 콘텐츠에 포함된 자막 데이터를 기계 학습하여 특수 및 일반자막의 식별 및 추출 결과 기존 방법보다 추출 정확도(95%)가 우수함을 보였다. 따라서 다양한 자막 형태가 포함된 숏폼 콘텐츠에 대한 사용자 추천 시스템 및 콘텐츠 큐레이션 서비스에 다양하게 활용할 수 있을 것으로 보인다.
Junyoung Jo; Jangwon Gim; Byung-Won On; Dongwon Jeong. 숏폼 콘텐츠 자막 자동 추출 시스템. The Journal of Korean Institute of Information Technology 2021, 19, 29 -37.
AMA StyleJunyoung Jo, Jangwon Gim, Byung-Won On, Dongwon Jeong. 숏폼 콘텐츠 자막 자동 추출 시스템. The Journal of Korean Institute of Information Technology. 2021; 19 (6):29-37.
Chicago/Turabian StyleJunyoung Jo; Jangwon Gim; Byung-Won On; Dongwon Jeong. 2021. "숏폼 콘텐츠 자막 자동 추출 시스템." The Journal of Korean Institute of Information Technology 19, no. 6: 29-37.
최근 4차 산업혁명의 시대에서 다양한 신기술들이 등장함에 따라 가치 있는 신기술들에 대한 권리를 주장하기 위한 목적으로 특허 출원 및 발명 건수가 급증하고 있다. 따라서 선행 특허의 기술 검색 및 핵심 기술추출 등의 연구들이 수행되고 있다. 특히 특허 문헌에 등장하는 기술 개체명은 특허 기술에 대한 분석 정확도 및 검색 재현율 성능 향상에 중요한 역할을 한다. 본 논문에서는 이러한 기술 개체명 식별을 위해 단어 임베딩 기반 특허 기술 개체명 식별 방법을 제안한다. 다양한 도메인 데이터를 대상으로 기술 개체명 식별 실험결과 제안 방법이 가장 우수함을 확인하였다. 따라서 제안 모델을 통해 다양한 특허 기술 분야에 포함된 기술 개체명 식별 및 기계 학습용 한국어 사전 자동 구축을 위한 기반 연구로 활용 가능한 것으로 기대된다.
Sebin Kim; Jangwon Gim. A Bi-LSTM CRF Model with Word Embedding for Patent Technology Named Entity Recognition. The Journal of Korean Institute of Information Technology 2021, 19, 23 -32.
AMA StyleSebin Kim, Jangwon Gim. A Bi-LSTM CRF Model with Word Embedding for Patent Technology Named Entity Recognition. The Journal of Korean Institute of Information Technology. 2021; 19 (1):23-32.
Chicago/Turabian StyleSebin Kim; Jangwon Gim. 2021. "A Bi-LSTM CRF Model with Word Embedding for Patent Technology Named Entity Recognition." The Journal of Korean Institute of Information Technology 19, no. 1: 23-32.
Entity name recognition is a part of information extraction that extracts entity names from documents and classifies the types of extracted entity names. Entity name recognition technologies are widely used in natural language processing, such as information retrieval, machine translation, and query response systems. Various deep learning-based models exist to improve entity name recognition performance, but studies that compared and analyzed these models on Korean data are insufficient. In this paper, we compare and analyze the performance of CRF, LSTM-CRF, BiLSTM-CRF, and BERT, which are actively used to identify entity names using Korean data. Also, we compare and evaluate whether embedding models, which are variously used in recent natural language processing tasks, can affect the entity name recognition model"s performance improvement. As a result of experiments on patent data and Korean corpus, it was confirmed that the BiLSTM-CRF using FastText method showed the highest performance.
Jangwon Gim. A Study on the Performance Analysis of Entity Name Recognition Techniques Using Korean Patent Literature. JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE 2020, 10, 139 -151.
AMA StyleJangwon Gim. A Study on the Performance Analysis of Entity Name Recognition Techniques Using Korean Patent Literature. JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE. 2020; 10 (2):139-151.
Chicago/Turabian StyleJangwon Gim. 2020. "A Study on the Performance Analysis of Entity Name Recognition Techniques Using Korean Patent Literature." JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE 10, no. 2: 139-151.
기존의 대학 평판도 평가 연구는 높은 비용과 감성의 편차가 발생하는 문제점을 지닌다. 따라서 이 논문에서는 이전 연구의 감성 사전 확장을 통한 대학 평판도 평가를 제안한다. 이를 위해, 우선 풍부한 데이터를 이용하여 기존의 감성 사전을 확장하고 군집화를 이용해 주제를 추출한다. 이러한 정보를 이용하여 대학의 평판도를 평가하고 추이를 분석한다. 연구 결과를 활용하여 기존의 설문 조사 기반 대학평가의 문제점을 개선할 수 있으며, 데이터의 크기와 대학 평판도의 관계를 파악할 수 있다. 또한, 주제별 대학평판의 개선을 위한 기초 자료로 활용될 수 있다.
Soohyeon Chae; Dongwon Jeong; Byung-Won On; Jangwon Gim. University Reputation Assessment through AR-KNU Expansion. The Journal of Korean Institute of Information Technology 2020, 18, 35 -45.
AMA StyleSoohyeon Chae, Dongwon Jeong, Byung-Won On, Jangwon Gim. University Reputation Assessment through AR-KNU Expansion. The Journal of Korean Institute of Information Technology. 2020; 18 (11):35-45.
Chicago/Turabian StyleSoohyeon Chae; Dongwon Jeong; Byung-Won On; Jangwon Gim. 2020. "University Reputation Assessment through AR-KNU Expansion." The Journal of Korean Institute of Information Technology 18, no. 11: 35-45.
As environmental pollution has become severe due to the rapid increase in pollutant generation in the air, measurement, collection, and analysis of atmospheric environment information plays an important role. However, it is difficult to measure the high-resolution and real-time atmospheric environment of the cities and tourist spots with high population mobility only by measuring equipment of stationary measuring stations. Therefore, this paper proposes a portable atmospheric environment measurement system for real-time measurement and monitoring of atmospheric environment information. The proposed system is a portable client with a low-power wireless communication method. It is possible to reliably transmit and receive the measured data through a multi-threaded server to monitor the trend of pollutants in the air in real-time.
Soohyeon Chae; Hack-Yoon Kim; Jangwon Gim. Development of Portable Atmospheric Environment Measurement System using Low Power Wireless Communication. JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE 2020, 10, 99 -109.
AMA StyleSoohyeon Chae, Hack-Yoon Kim, Jangwon Gim. Development of Portable Atmospheric Environment Measurement System using Low Power Wireless Communication. JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE. 2020; 10 (1):99-109.
Chicago/Turabian StyleSoohyeon Chae; Hack-Yoon Kim; Jangwon Gim. 2020. "Development of Portable Atmospheric Environment Measurement System using Low Power Wireless Communication." JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE 10, no. 1: 99-109.
Recently, with the rapid development of science and technology, new technologies are rapidly emerging, and applicants are making efforts to acquire intellectual property rights to prevail the competitive advantage of technology and enhance technological competitiveness. As a result, the number of patents invented increases rapidly every year, and the ripple effects of the developed technologies are also increasing in terms of social and economic aspects. Therefore, applicants are focusing on evaluating the value of existing invented technologies to invent more valuable technologies. Although existing patent analysis studies mainly focus on discovering core technologies among the technologies derived from patents or analyzing trend changes for specific techniques. Therefore, the analysis of applicants who develop such core technologies is insufficient. In this paper, we propose a model for analyzing the technical inventions of applicants based on CPC classification codes. Through the proposed model, the common invention patterns of applicants are extracted, and the technical inventions of applicants are analyzed using the patterns. We prove that applicants have different invention patterns and trends in inventing technologies.
Jiyee Jeon; Soohyeon Chae; Jangwon Gim. Technical Invention Trend Analysis of Applicants Based on CPC Classification. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 10 -17.
AMA StyleJiyee Jeon, Soohyeon Chae, Jangwon Gim. Technical Invention Trend Analysis of Applicants Based on CPC Classification. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():10-17.
Chicago/Turabian StyleJiyee Jeon; Soohyeon Chae; Jangwon Gim. 2020. "Technical Invention Trend Analysis of Applicants Based on CPC Classification." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 10-17.
In recent times, with the development of science and technology, new technologies have been rapidly emerging, and innovators are making efforts to acquire intellectual property rights to preserve their competitive advantage as well as to enhance innovative competitiveness. As a result, the number of patents being acquired increases exponentially every year, and the social and economic ripple effects of developed technologies are also increasing. Now, innovators are focusing on evaluating existing technologies to develop more valuable ones. However, existing patent analysis studies mainly focus on discovering core technologies amongst the technologies derived from patents or analyzing trend changes for specific techniques; the analysis of innovators who develop such core technologies is insufficient. In this paper, we propose a model for analyzing the technical inventions of applicants based on patent classification systems such as international patent classification (IPC) and cooperative patent classification (CPC). Through the proposed model, the common invention patterns of applicants are extracted and used to analyze their technical inventions. The proposed model shows that patent classification systems can be used to extract the trends in applicants’ technological inventions and to track changes in their innovative patterns.
Soohyeon Chae; Jangwon Gim. A Study on Trend Analysis of Applicants Based on Patent Classification Systems. Information 2019, 10, 364 .
AMA StyleSoohyeon Chae, Jangwon Gim. A Study on Trend Analysis of Applicants Based on Patent Classification Systems. Information. 2019; 10 (12):364.
Chicago/Turabian StyleSoohyeon Chae; Jangwon Gim. 2019. "A Study on Trend Analysis of Applicants Based on Patent Classification Systems." Information 10, no. 12: 364.
Dahye Jeong; Jangwon Gim. A Study on the Emotion Analysis of Instagram Using Images and Hashtags. The Journal of Korean Institute of Information Technology 2019, 17, 123 -131.
AMA StyleDahye Jeong, Jangwon Gim. A Study on the Emotion Analysis of Instagram Using Images and Hashtags. The Journal of Korean Institute of Information Technology. 2019; 17 (9):123-131.
Chicago/Turabian StyleDahye Jeong; Jangwon Gim. 2019. "A Study on the Emotion Analysis of Instagram Using Images and Hashtags." The Journal of Korean Institute of Information Technology 17, no. 9: 123-131.
A number of sensor devices are widely distributed and used today owing to the accelerated development of IoT technology. In particular, this technological advancement has allowed users to carry IoT devices with more convenience and efficiency. Based on the IoT sensor data, studies are being actively carried out to recognize the current situation or to analyze and predict future events. However, research for existing smart healthcare services is focused on analyzing users’ behavior from single sensor data and is also focused on analyzing and diagnosing the current situation of the users. Therefore, a method for effectively managing and integrating a large amount of IoT sensor data has become necessary, and a framework considering data interoperability has become necessary. In addition, an analysis framework is needed not only to provide the analysis of the users’ environment and situation from the integrated data, but also to provide guide information to predict future events and to take appropriate action by users. In this paper, we propose a prescriptive analysis framework using a 5W1H method based on CKAN cloud. Through the CKAN cloud environment, IoT sensor data stored in individual CKANs can be integrated based on common concepts. As a result, it is possible to generate an integrated knowledge graph considering interoperability of data, and the underlying data is used as the base data for prescriptive analysis. In addition, the proposed prescriptive analysis framework can diagnose the situation of the users through analysis of user environment information and supports users’ decision making by recommending the possible behavior according to the coming situation of the users. We have verified the applicability of the 5W1H prescriptive analysis framework based on the use case of collecting and analyzing data obtained from various IoT sensors.
Jangwon Gim; Sukhoon Lee; Wonkyun Joo. A Study of Prescriptive Analysis Framework for Human Care Services Based On CKAN Cloud. Journal of Sensors 2018, 2018, 1 -10.
AMA StyleJangwon Gim, Sukhoon Lee, Wonkyun Joo. A Study of Prescriptive Analysis Framework for Human Care Services Based On CKAN Cloud. Journal of Sensors. 2018; 2018 ():1-10.
Chicago/Turabian StyleJangwon Gim; Sukhoon Lee; Wonkyun Joo. 2018. "A Study of Prescriptive Analysis Framework for Human Care Services Based On CKAN Cloud." Journal of Sensors 2018, no. : 1-10.
Studies are actively ongoing for better understanding and strengthening the capabilities of researchers. To do so requires an accurate diagnosis and analysis of such researchers. Therefore, data of each researcher must be collected and be identified in a big-data environment. Consequently, researcher-name identification has emerged as an important issue. This paper proposes a framework for collecting, refining, identifying, and publicly offering researcher data. For identifying authors’ name, the proposed framework extracts timeline based patterns that make help to identify the same name authors with their representative attributes such as emails and affiliations. The results of the proposed framework based on timeline patterns, show a 69.5 % average author-identification rate given a group of otherwise unidentified authors.
Jangwon Gim; Yunji Jang; Hanmin Jung; Do-Heon Jeong. Feature-Based Researcher Identification Framework Using Timeline Data. Wireless Personal Communications 2016, 91, 1653 -1667.
AMA StyleJangwon Gim, Yunji Jang, Hanmin Jung, Do-Heon Jeong. Feature-Based Researcher Identification Framework Using Timeline Data. Wireless Personal Communications. 2016; 91 (4):1653-1667.
Chicago/Turabian StyleJangwon Gim; Yunji Jang; Hanmin Jung; Do-Heon Jeong. 2016. "Feature-Based Researcher Identification Framework Using Timeline Data." Wireless Personal Communications 91, no. 4: 1653-1667.