• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.3
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• pp.75-89
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• 2020

This study was conducted to investigate researches related to tourism transport conducted in Korea and to discover new complementary research projects based on this. Forty cases were reflected in the study, including 28 academic papers and 12 policy studies. Based on the characteristics of tourism transport and cases of prior research, this study divided the field of tourism transport research into three ranges: traffic mode choice for tourism, information for tourist traffic and support policy for tourist traffic etc. In particular, mode choice for tourist traffic was divided into four sub-ranges, reflecting the importance of tourist traffic and the weight of research cases. As a result of the study, it was found that there were not many cases of research on tourism transport, and the research cases were concentrated on the mode choice for tourist traffic. To complement this, this study proposed 10 new research projects in 3 ranges. This is a result of reflecting changes in tourist demand and tourism trends. In addition, a new research field was proposed to seek the connection between transport facilities supply and tourist demand.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.4
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• pp.721-728
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• 2013

Big data is one of the most spotlighted technological trends in these days, enabling new methods to handle huge volume of complicated data for a broad range of applications. Real-time network traffic analysis essentially deals with big data, which is comprised of different types of log data from various sensors. To tackle this problem, in this paper, we devise a big data based platform, RENTAP, to detect and analyse malicious network traffic. Focused on military network environment such as closed network for C4I systems, leading big data based solutions are evaluated to verify which combination of the solutions is the best design for network traffic analysis platform. Based on the selected solutions, we provide detailed functional design of the suggested platform.

• Journal of Preventive Medicine and Public Health
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• v.40 no.1
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• pp.7-15
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• 2007

Objectives : This study investigated the relationship of occupational class and educational background with proportional mortality ratios in Korea. Methods : Mortality was investigated using the entire registered death data from 1993 to 2004, obtained from the Korean National Statistics Office. Proportional mortality ratios (PMRs) for specific diseases were calculated according to the occupational class and educational background of men aged 20-64. Results : Manual workers were found to have higher PMRs for liver disease and traffic accidents, as did the lower educated group. Especially, this study showed trends of an increasing of the wide gap between lower and higher socioeconomic stati for liver disease, traffic accidents, diabetes mellitus and cerebral vascular disease. The mortality for cerebrovascular disease, diabetes mellitus, heart disease, traffic accident and liver disease showed increasing trends according to the calendar year for the lower than the higher social class. Conclusions : The specific conditions that had higher PMRs in the Korean lower social class were liver disease and traffic accidents. Especially, there was an increasing trend for a widening of the gap between manual and non-manual groups in relation to mortality from liver disease, diabetes mellitus and traffic accidents.

• Journal of Korean Society of Transportation
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• v.33 no.1
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• pp.14-28
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• 2015

Numerous research has been conducted using internet search data since the mid-2000s. For example, Google Inc. developed a service predicting influenza patterns using the internet search data. The main objective of this study is to prove the hypothesis that highway traffic indices are similar to the internet search patterns. In order to achieve this objective, a model to predict the number of vehicles entering the expressway and space-mean speed was developed and the goodness-of-fit of the model was assessed. The results revealed several findings. First, it was shown that the Google search traffic was a good predictor for the TCS entering traffic volume model at sites with frequent commute trips, and it had a negative correlation with the TCS entering traffic volume. Second, the Naver search traffic was utilized for the TCS entering traffic volume model at sites with numerous recreational trips, and it was positively correlated with the TCS entering traffic volume. Third, it was uncovered that the VDS speed had a negative relationship with the search traffic on the time series diagram. Lastly, it was concluded that the transfer function noise time series model showed the better goodness-of-fit compared to the other time series model. It is expected that "Big Data" from the internet search data can be extensively applied in the transportation field if the sources of search traffic, time difference and aggregation units are explored in the follow-up studies.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.16 no.4
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• pp.75-82
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• 2008

As the number of passengers and the amount of cargo is getting increased, the traffic of aircraft and moving vehicle at an airport is getting busy. Especially, due to the heavy traffic of moving vehicles in the area of airside, the safety management of them is getting important. The study has been performed for suggesting improved methods in order to reduce safety accidents between aircraft and moving vehicles by introducing a safety management system for moving vehicles in airside of an airport. In order to improve the level of safety with the efficient management of moving vehicles in airside, the analysis of the domestic and international trends of the related technology and regulations has been performed. As a result, the conceptual design of safety management system has been suggested by utilizing the location information technology and four layers (hardware, network, middleware and application) approaches of safety management system.

• Electronics and Telecommunications Trends
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• v.33 no.2
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• pp.64-76
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• 2018

This paper addresses the antitrust case of Google's general search service to find evidence and logic used for defining markets, and the proof of dominant power and its abuse in detail. This antitrust case has certain meaning because it is not easy to apply traditional approaches to a general search service, which has two-sided market characteristics. This paper finds some implications through an analysis of the antitrust case shown below. First, for market definition, the overall qualitative analysis can be used to draw conclusions without a quantitative analysis, such as a Small but Significant and Non-transitory Increasing in Price (SSNIP) analysis. Second, the multi-homing behavior seems to be one of the key factors in judging the dominant power in Internet-based services. Lastly, the fact that the value of traffic can differ based on the traffic source needs to be considered to address the competition issue of Internet-based services.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.606-607
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• 2015

The traffic volume on the road shows various trends reflecting regional characteristics for monthly and hourly, and economic loss affecting users varies according to the selected period for the maintenance of road pavements. Therefore, in this study, the user cost (or delay cost) for monthly and hourly on the work zone near the Maesang Bridge Section on Poseung-Gu, Pyeongtaek-si, Gyeonggi-do was calculated using the time series models and VISSIM, and based on the result, the effect of user cost reduction according to the selection of best maintenance period was examined. The analysis result showed that the month of the lowest user cost occurred due to the maintenance of target section was January (10,293,258 KRW/Day×1km) and the month of the greatest user cost occurred was November (13,337,495 KRW/Day×1km).

• Maxillofacial Plastic and Reconstructive Surgery
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• v.36 no.6
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• pp.253-258
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• 2014

Purpose: Maxillofacial fractures are rapidly increasing from car accidents, industrial accidents, teenaged criminal activity, and sports injuries. Accurate assessment, appropriate diagnosis, and preparing individual treatment plans are necessary to reduce surgical complications. We investigated recent trends of facial bone fracture by period, cause, and type, with the objective of reducing surgical complications. Methods: To investigate time trends of maxillofacial fractures, we reviewed medical records from 2,196 patients with maxillofacial fractures in 1981~1987 (Group A), 1995~1999 (Group B), and 2008~2012 (Group C). We analyzed each group, comparing the number of patients, sex ratio, age, fracture site, and etiology. Results: The number of patients in each period was 418, 516, and 1,262 in Groups A to C. Of note is the increase in the number of patients from Group A to C. The sex ratios were 5.6:1, 3.5:1, and 3.8:1 in Groups A, B, and C. The most affected age group for fracture is 20~29 in all three groups. Traffic accidents are the most common cause in Groups A and B, while there were somewhat different causes of fracture in Group C. Sports-induced facial trauma was twice as high in Group C compared with Group A and B. Mandible fracture accounts for a large portion of facial bone fractures overall. Conclusion: We observed an increase in facial bone fracture patients at Kyungpook National University Dental Hospital over the years. Although facial injury caused by traffic accidents was still a major cause of facial bone fracture in all periods, the percentage decreased. In recent years, isolated mandible fracture increased but mandible and mid-facial complex fracture decreased, possibly because of a reduction in traffic accidents.

• Electronics and Telecommunications Trends
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• v.33 no.1
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• pp.89-100
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• 2018

To accommodate the rapid increase in the amount of data traffic, the capacity of datacenters is expanding rapidly. Datacenter networks (DCNs) utilize electronic packet switches. However, the increases in the speed and capacity of electronic devices are slower than that of data expansion. Furthermore, electronics are too well developed to reach very near their physical limits. To achieve a breakthrough under this situation, optical switching schemes have been widely examined to replace or collaborate with incumbent electronic switches in a DCN. This report reviews the current status of such global researches on an optical DCN.

• Electronics and Telecommunications Trends
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• v.27 no.1
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• pp.122-135
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• 2012

최근 스마트폰의 급격한 보급과 음성 위주의 이동통신 서비스가 무선 멀티미디어 콘텐츠를 중심으로 하는 데이터 위주의 서비스로 전환됨에 따라 모바일 데이터가 급증하고 있다. 그러나, LTE에서의 Macro-BS(eNB) 기반의 point-to-point 링크의 스펙트럼 효율은 이미 이론적 한계치에 근접하여 저전력의 소규모 기지국 노드를 채용하는 이종망 환경을 도입하는 노력이 3GPP를 중심으로 전개되고 있다. 본고에서는 급증하는 모바일 트래픽 수요를 수용하기 위해 개발되고 있는 소규모 저전력 셀 기반의 HetNet 기술개발 동향과 대용량의 모바일 콘텐츠를 이동통신 단말기의 근접성을 기반으로 기지국 트래픽 부하 없이 제공하기 위해 개발되고 있는 단말기 간 직접 통신 기술 개발현황을 소개한다.