• 전자통신동향분석
• /
• 제38권5호
• /
• pp.71-80
• /
• 2023

With the rapid advancement of the Internet, the use of encrypted traffic has surged in order to protect data during transmission. Simultaneously, network attacks have also begun to leverage encrypted traffic, leading to active research in the field of encrypted traffic analysis to overcome the limitations of traditional detection methods. In this paper, we provide an overview of the encrypted traffic analysis field, covering the analysis process, domains, models, evaluation methods, and research trends. Specifically, it focuses on the research trends in the field of anomaly detection in encrypted network traffic analysis. Furthermore, considerations for model development in encrypted traffic analysis are discussed, including traffic dataset composition, selection of traffic representation methods, creation of analysis models, and mitigation of AI model attacks. In the future, the volume of encrypted network traffic will continue to increase, particularly with a higher proportion of attack traffic utilizing encryption. Research on attack detection in such an environment must be consistently conducted to address these challenges.

• 전자통신동향분석
• /
• 제34권3호
• /
• pp.106-113
• /
• 2019

Mobile traffic is one of the most important indexes of the growth of the mobile communications market, and it has a close relationship with subscribers' service usage patterns, frequency demand and supply, network management, and information communication policy. The purpose of this paper is to understand mobile data usage in Korea and to suggest the optimal steps for establishing the frequency supply and demand system by researching the traffic trends that reflect the characteristics of radio resources in the mobile communications field. To achieve this goal, attempts were made to increase the possibility of policy use by analyzing and forecasting mobile traffic trends, and to improve the accuracy of the research through the verification of the existing prediction results. The paper ends with a discussion of the necessity of a frequency management system based on data science.

• 한국도로학회논문집
• /
• 제18권3호
• /
• pp.109-114
• /
• 2016

PURPOSES : The demand for extending national highways is increasing, but traffic monitoring is hindered because of resource limitations. Hence, this study classified highway segments into 5 types to improve the efficiency of short-term traffic count planning. METHODS : The traffic volume trends of 880 highway segments were classified through R-squared and linear regression analyses; the steadiness of traffic volume trends was evaluated through coefficient of variance (COV), and the normality of the data were determined through the Shapiro-Wilk W-test. RESULTS : Of the 880 segments, 574 segments had relatively low COV and were classified as type 1 segments, and 123 and 64 segments with increasing and decreasing traffic volume trends were classified as type 2 and type 3 segments, respectively; 80 segments that failed the normality test were classified as type 4, and the remaining 39 were classified as type 5 segments. CONCLUSIONS : A theoretical basis for biennial count planning was established. Biennial count is recommended for types 1~4 because their mean absolute percentage errors (MAPEs) are approximately 10%. For type 5 (MAPE =19.26%), the conventional annual count can be continued. The results of this analysis can reduce the traffic monitoring budget.

• 한방재활의학과학회지
• /
• 제25권2호
• /
• pp.89-96
• /
• 2015

Objectives This study is to investigate domestic trends of chuna manual therapy on traffic accident for recent 10 years. Methods We searched the studies on chuna manual therapy for traffic accident in 6 Korean web databases. Consequently, 17 research papers were founded. We analyzed these papers according to their published year, the titles of journal, the type of study, the number of cases, the sites of injury, assessment scales of study, and ethics of research. Results 17 papers were published since 2005. The studies on chuna manual therapy about traffic accident were mainly published in the journal of korean society of chuna manual medicine for spine & nerves and the journal of korean medicine rehabilitation. All papers were clinical research include 2 case series, 2 non randomized controlled trials (NRCTs), 13 randomized controlled trials (RCTs). The most frequently occured symptom was neck pain. In assessment scales, visual analog scale (VAS) was mainly used. All clinical studies were not mentioned about approval of institutional review board (IRB). Conclusions In this study, we analyzed the trends of chuna manual therapy on traffic accident in Korea from 2005 to 2014. In reviewing published papers, we found several weak points in methods of research and quality of study protocol. It is needed to adjust these problems for development of future researches.

• 한국정보시스템학회지:정보시스템연구
• /
• 제26권3호
• /
• pp.171-185
• /
• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• 전자통신동향분석
• /
• 제36권6호
• /
• pp.55-66
• /
• 2021

The air traffic industry, one of Korea's major industries, has recently experienced increased demand from overseas air passengers, launched a low-cost airline, and increased special freight transportation capacity. These initiatives have had a positive impact on air traffic (for example, profitability); however, air traffic management has become more complex, which has increased the incidence of aviation accidents and created safety hazards. There is an increasing need to collect and analyze aviation data that can proactively respond to aviation accidents. Concatenation of collected aviation data as big data and the development of artificial intelligence technology are gradually expanding aviation safety event analysis from conventional statistical analysis to machine learning-based analysis. This paper surveys the trends of flight safety event analysis to derive aviation safety risk factors by looking at the types and characteristics of aviation data that can be used to predict accidents related to safety in aviation operations.

• 척추신경추나의학회지
• /
• 제8권1호
• /
• pp.27-38
• /
• 2013

Objectives : The purpose of this study is to investigate the latest trends of korean Medicine treatments on traffic accident for recent 5 years. Methods : We investigated the studies on korean Medicine treatments for traffic accident via searching 6 Korean web databases. As a result, 65 research papers were found to be analyzed according to their published year, the titles of journals, the types of study, the number of cases, the sites of injury, the types of treatments the instruments for assessment and ethics approvals. Results : 65 articles were published since 2008. The studies on korean Medicine treatments about traffic accident were mainly published in Journal of Oriental Rehabilitation Medicine. 10 case studies, 14 case series, 11 non randomized controlled trials, 21 randomized controlled trials and 9 systemic reviews had been under research. The most frequently occurred symptoms were neck pain and low back pain. In most studies, various korean Medicine treatments were used to treat the symptoms. Visual analogue scale(VAS) and neck disability index(NDI) were used as primary assessments. In most clinical studies, there were no mention about approval of institutional review board(IRB). Conclusion : In this study, we analyzed the trends of korean Medicine treatments on traffic accident from 2008 to 2012. Reviewing the domestic trends of studies on korean Medicine treatments for traffic accident and examining the strong and weak points of those treatments are essential for the future studies. It is needed to adopt the qualitative methods of evaluation in order to develop a level of evidence.

• 대한토목학회논문집
• /
• 제33권5호
• /
• pp.2057-2067
• /
• 2013

기존의 포장관리를 위한 장래 교통수요의 추정에는 객관적인 방법에 의한 장래 교통수요의 추정이라기보다는 과거 추세(trends)나 분석가의 주관적인 판단에 의해 이루어졌다고 할 수 있으며, 새로운 도로의 신설 및 우회도로의 계획 등 대상 지역의 장래 도로 및 지역개발 계획을 전혀 고려하지 못한 교통수요의 추정이 이루어졌다고 할 수 있다. 본 연구에서는 보다 객관적이며 정도 높은 국도의 유지관리를 위한 의사결정지원시스템(decision-making support system)의 구축을 위한 기초연구로써 장래 포장의 공용성에 큰 영향을 미치는 장기 교통수요 예측의 중요성을 살펴보고 기존 교통수요 추정 방식과의 비교를 위한 기준(baseline) 수요를 산정하기 위해 EMME(Equilibre multimodal, Multimodal Equilibrium)를 이용하여 4단계 교통수요 추정 방법에 따라 장래 교통수요를 예측하는 방안을 제시하였다. 사례연구를 위해 본 연구에서는 대전지방국토관리청 관할의 일부 지역을 대상으로 교통수요 추정방안별 비교를 수행하였으며, 기존의 수요추정 방법과 본 연구에서 제시한 장래 지역개발계획과 도로의 신설 및 확장계획 등을 고려한 교통수요 추정방법과는 교통량의 수요뿐만 아니라 관리자비용 및 이용자비용의 수준에도 큰 괴리가 있음을 확인하였다.

• Journal of Information Technology Applications and Management
• /
• 제30권6호
• /
• pp.81-90
• /
• 2023

In aviation, with the rapid transformation of the mobility industry, UAMs are emerging to operate green low-altitude airspace in urban environments. In order for UAM aircraft to fly safely transporting passengers and cargo in low-altitude urban airspace, a traffic control system that supports the safe operation of the aircraft is essential. In particular, traffic control systems that reflect the characteristics of the flight environment, such as operating at low altitude in urban environments for a short period of time, are required. In this study, we define the definition of UATM and its main services that perform traffic control for the safe operation of UAMs. In addition, we analyzed the development trends of UATM systems based on domestic and overseas cases. Based on these analyses, we present the results of the concept design of the UATM system. After analyzing UATM development cases, we found that there is no commercialized UATM system, but overseas development is focused on systems that can integrate ATM and UTM. And we identified key stakeholders and interface data, and performed UATM system architecture and functional design based on the identified data. Finally, as a necessary element for the future development of UATM systems, we propose the establishment and advancement of UAM traffic flow management systems, the establishment of integrated control systems, and the development of interface with aircraft operation systems in preparation for the unmanned UAM aircraft.

• 대한교통학회지
• /
• 제6권1호
• /
• pp.17-31
• /
• 1988

In this research, the behavior of weaving traffic is studied in terms of lane-changing behavior and gap acceptance characteristics. General trends in lane-changing behavior and gap acceptance characteristics are investigated by analyzing descriptive statistics and the factors affecting weaving behavior are determined by means of the multiple linear regression analysis. The results of analysis show that the behavior of weaving traffic is generally similar to that in a basic freeway section and an on- or of- ramp section. Traffic density and speed appear to be better parameters than traffic volume for explaining the behavior of weaving traffic. For the same purpose, using the traffic conditions of the origin and the destination lanes are found to be more effective than using the average traffic conditions of the freeway. A detailed analysis of the gap acceptance characteristics of late merging vehicles shows that there is no significant difference between the size of gaps accepted by late merging vehicles and that accepted by early merging vehicles.