• Journal of Information Processing Systems
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• 제18권3호
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• pp.359-373
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• 2022

The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to most countries and poses a challenge to the healthcare system. Contact tracing technology is an effective way for public health to deal with diseases. Many experts have studied traditional contact tracing and developed digital contact tracking. In order to better understand the field of contact tracking, it is necessary to analyze the development of contact tracking in the field of computer science by bibliometrics. The purpose of this research is to use literature statistics and topic analysis to characterize the research literature of contact tracking in the field of computer science, to gain an in-depth understanding of the literature development status of contact tracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, we conducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Which contains more than 10,000 articles, including more than 2,000 in the field of computer science. For popular trends, we use VOSviewer for visual analysis. The number of contact tracking documents published annually in the computer field is increasing. At present, there are 200 to 300 papers published in the field of computer science each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper, we found that the hot topic of contact tracking has changed from the past "mathematical model," "biological model," and "algorithm" to the current "digital contact tracking," "privacy," and "mobile application" and other topics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can display high-quality literature in contact tracking and characterize the development trend of the entire field through topic analysis. This is useful for students and researchers new to field of contact tracking ai well as for presenting our results to other subjects. Especially when comprehensive research cannot be conducted due to time constraints or lack of precise research questions, our research analysis can provide value for it.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 1998년도 봄 학술대회 발표논문집 디자인 학 연구
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• pp.54-55
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• 1998

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 C
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• pp.1235-1238
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• 1995

Electrical property of polymeric insulating plays a key role in the trend of making power apparatus high voltage, and reliability and safety of apparatus in the long term depend on it. There is a recent trend of applying polymeric material to insulating material for outdoor, and particularly it is expected that it may be used partly as a pin insulator. Using as an alternate of insulating material for outdoor, however, it has still many problems to be solved in the field of material such as resistances of environment and tracking. It has been given attention to that the silicon rubbers and the epoxy have recently been used. but the the reliability in the viewpoint of material property becomes an issue. The polymeric materials such as EPDM, Epoxy and PVC have also been used as an insulating materials for outdoor. In this point of view, we studied each tracking phenomenon with test material such as rubber for pin, PVC for powercable used as an insulating material for outdoor, and Epoxy etc. The characteristics of anti tracking shows EPDM>Epoxy>PVC in order in the results. We also know that there is an close relationship between properties of tracking and thermegravimetry.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2000년도 추계 학술발표대회 논문집
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• pp.118-119
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• 2000

트랜드는 개별적, 일시적 유행과는 다른 것이며 보다 광의적이고 포괄적이며 커다란 생명력을 가진 것이다. 눈에 보이는 현상보다는 민족성이나 인간의 본성과 같은 표현하기 힘들거나, 인식하기 힘든 요인으로 말미암아 기존의 여론조사나 소비자 성향을 분석하는 트랜드 트레킹 방법에는 한계가 있다고 할 수 있다. (중략)

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 1998년도 가을 학술발표대회 논문집 디자인 학 연구
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• pp.20-21
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• 1998

• 한국재난정보학회 논문집
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• 제2권1호
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• pp.39-52
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• 2006

In this paper, an analytical and experimental study was performed in order to determine the effects of interaction between vehicle and structure. Results presented in the paper show that analytical method including moving load effect can investigate the trend of structural response due to dynamic interaction between vehicle and structure. The wheel tracking machine fitted with 2-axle test vehicle can demonstrate more accurate dynamic interaction between vehicle and structure than the wheel tracking machine fitted without 2-axle test vehicle.

• 항공우주산업기술동향
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• 제9권1호
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• pp.150-157
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• 2011

일반적으로, 우주센터 또는 위성발사장 에서는 발사체의 비행초기구간에 대한 비행영상을 획득, 분석하기 위하여 고성능 렌즈가 탑재된 광학추적장비를 사용한다. 본 원고에서는 위성 발사분야에서 광학추적장비에 탑재되어 사용되고 있는 렌즈의 종류와 기술동향에 대해 서술하였다. 또한 국내, 외 광학추적장비용 렌즈의 운용현황에 대해서도 간략히 기술하였다.

• Journal of information and communication convergence engineering
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• 제6권3호
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• pp.239-244
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• 2008

Cargo tracking issue on train transportation is challenging area because of long distance haulage, theft, terror attack and customer service. This paper aims at evaluating various cargo tracking systems in terms of cost and technology. The contents of this paper consist of the research trend of cargo tracking system in the railroad transportation and reviewing of technical alternatives in cost and service side. GNSS and RFID are reviewed as location tracking technology, Internet and Satellite technology like INMASAT and Low Earth Orbit are also reviewed as communication infrastructure. This paper selects cost and service factors in two alternatives of GNSS-Satellite and RFID-Internet, among GNSS-Internet, GNSS, Satellite, RFID-Internet, RFID-Satellite and evaluate each alternative in terms of cost and service. In a result, in terms of cost, RFID-Internet type is superior to GNSS-Satellite type, but in service GNSS-Satellite type is preferred to RFID-Internet in point of area coverage and service coverage.

• 건설관리
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• 제14권5호
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• pp.32-35
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• 2013

• 한국정보과학회논문지:소프트웨어및응용
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• 제36권3호
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• pp.236-243
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• 2009

특허, 뉴스, 블로그와 같이 시간 정보가 있는 문서들로부터의 자동적인 트렌드 분석(trend analysis)은 토픽탐지 및 추적 기술(TDT: Topic Detection and Tracking)과 더불어 중요한 연구 분야로 대두되고 있다. 과거 연구들은 대부분 트렌드과 관련된 단어의 출현 빈도 정보를 이용하여 주어진 개념의 중요도를 측정하고 이 개념의 시간에 따른 트렌드 라인을 보여주는 것에 초점을 맞췄다. 신출 트렌드 (emerging trend)를 탐지하기 위해서는 주어진 개념의 출현 빈도수 변화와 같은 간단한 방법이나 학습 데이타와 비교하여 차이를 탐지하여 제시하는 방법이 사용되었다. 그러나 여러 트렌드 중에서 특징적인 트렌드를 찾아서 사용자에게 제공하기 위해서는 트렌드 순위 결정 함수가 필요하다. 본 논문은 트렌드의 다양한 측면을 정량화하기 위하여 출현 빈도로 구성된 트렌드 곡선으로부터 네 가지 속성 (변동성, 지속성, 안정성, 누적량) 을 정의하고 이를 활용한 트렌드 순위 결정 방법을 제안한다. 일련의 실험을 통하여 각 속성의 유용성을 검증하고 속성들의 조합이 순위 결정에 어떤 영향을 미치는지 분석하였다. 실험결과로부터 네 가지 속성을 모두 조합할 경우 특징적인 트렌드 탐지에 더욱 기여하는 것을 알 수 있다.