• Journal of Information Processing Systems
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• v.18 no.3
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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.

• Proceedings of the Korea Society of Design Studies Conference
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• 1998.04a
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• pp.54-55
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• 1998

• Proceedings of the KIEE Conference
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• 1995.07c
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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.

• Proceedings of the Korea Society of Design Studies Conference
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• 2000.11a
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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)

• Proceedings of the Korea Society of Design Studies Conference
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• 1998.10a
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• pp.20-21
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• 1998

• Journal of the Society of Disaster Information
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• v.2 no.1
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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.

• Current Industrial and Technological Trends in Aerospace
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• v.9 no.1
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• pp.150-157
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• 2011

In launch site, optical tracking system equipped with high performance lens is used to acquire images of launch vehicle in the early stage of the ascent phase. This article describes a technical trend of various lens as well as its application to optical tracking system.

• Journal of information and communication convergence engineering
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• v.6 no.3
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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.

• Construction Engineering and Management
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• v.14 no.5
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• pp.32-35
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• 2013

• Journal of KIISE:Software and Applications
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• v.36 no.3
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• pp.236-243
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• 2009

With advances in topic detection and tracking(TDT), automatic trend analysis from a collection of time-stamped documents, like patents, news papers, and blog pages, is a challenging research problem. Past research in this area has mainly focused on showing a trend line over time of a given concept by measuring the strength of trend-associated term frequency information. for detection of emerging trends, either a simple criterion such as frequency change was used, or an overall comparison was made against a training data. We note that in order to show most salient trends detected among many possibilities, it is critical to devise a ranking function. To this end, we define four properties(change, persistency, stability and volume) of trend lines drawn from frequency information, to quantify various aspects of trends, and propose a method by which trend lines can be ranked. The properties are examined individually and in combination in a series of experiments for their validity using the ranking algorithm. The results show that a judicious combination of the four properties is a better indicator for salient trends than any single criterion used in the past for ranking or detecting emerging trends.