• Proceedings of the Korean Information Science Society Conference
• /
• 2002.10e
• /
• pp.346-348
• /
• 2002

차량 항법 시스템(Car Navigation System)은 요즘 많은 발전을 거듭하여 차량 이용시 사용자가 가고자하는 목적지까지의 길을 쉽게 안내하고 있다. 이런 기술의 발전은 단순한 정적인 길 안내(Static Route Guidance) 뿐만 아니라. 동적인 길 안내(Dynamic Route Guidance)를 함으로써 자동차 운전자가 쉽고 빠른 길을 안내 받을 수 있게 되었다. 그러나 이러한 교통정보는 매우 변화가 심하므로 최초로 경로를 전송 받은 후 그 경로상에 교통정보가 변화하였다면, 이미 전송 받은 경로는 실시간으로 적극적으로 대응할 수 없고 실제 막히는 길로 안내할 수 있다. 목적지까지의 거리가 먼 경우 이런 현상이 더욱 심하게 나타날 수 있다. 이런 경우 운전자는 실제로는 막히는 길로 안내 받을 수 밖에 없다. 이런 문제점을 해결하기 위해 교통정보를 수집하는 기존의 시스템에 Ad Hoc 네트워킹이 가능한 시스템을 탑재한 교통정보 수집 차량(Probe Car)을 이용한다. 정보 수집 차량이 극심한 정체를 발견하면 근처를 지나는 경로를 가진 차량에게 이를 전달하여 새로운 경로를 다운받을 수 있도록 한다. 이런 방법은 Ad Hoc Relaying System〔l〕을 이용하여 가능하며, 센터에 수집되고 가공되는 시간을 최대한 줄일 수 있으며, 센터의 통신 오버헤드를 최소화할 수 있다. 또한 기지국에 호가 집중되어 call blocking이 발생함 경우에 이를 해결할 수 있다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.14 no.6
• /
• pp.229-234
• /
• 2014

As association between sensor networks that collect environmental information by using numberous sensor nodes and smartphones that are equipped with various sensors, many applications understanding users' context have been developed to interact users and their environments. Collected data should be stored with XML formatted metadata containing semantic information to share the collected data. In case of distance based clustering schemes, the efficiency of data collection decreases because metadata files are extended and changed as the purpose of each system developer. In this paper, we proposed a clustering scheme considering the structural similarity of metadata to reduce clustering construction time and improve the similarity of metadata among member nodes in a cluster.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.893-895
• /
• 2016

Data center has a lot of management efforts for the facility, energy, and efficient usage monitoring. Data center power management is important to make the data center have reliable service and cost-effective business. In this paper, IoT based energy measurements monitoring which gives support to energy consumption analysis including indoor, outdoor temperature condition. This converged information for energy analysis gives various aspects of energy consumption effects. With IoT big data, energy machine learning system can give the relation of energy components and measurements, it is the key information of the quick energy analysis in the just one month data trend for the prediction and estimation.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.188-189
• /
• 2023

본 연구는 사용자가 USB에 내장된 스크립트를 실행하여 실시간으로 활성 및 비활성 데이터를 수집하는 라이브 포렌식 도구의 개발에 관한 것이다. 이 도구는 컴퓨터에 USB를 삽입하고 특정 스크립트를 실행하여 중요한 디지털 증거물을 추출하고 분석하는 기능을 제공한다. 도구는 Linux와 Windows 운영 체제용 32비트 및 64비트 버전으로 제작되었으며, 대량의 데이터 처리 시간과 저장 공간 문제를 해결하여 필요한 특정 데이터만 신속하게 추출할 수 있는 효율적인 방법을 제공한다. 이 도구는 활성 데이터와 비활성 데이터를 수집하며, 활성 데이터에는 레지스터, 네트워크 정보, 프로세스 정보, 사용자 정보 등이 포함되며, 비활성 데이터에는 메타데이터, 시스템 설정 정보, 로그 파일 등이 포함된다. 이 연구에서는 라이브 포렌식 도구의 사용 방법과 수집된 결과, 데이터 분석 방법, 그로 인한 보안 이점에 대해 다루고 있다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2007.05a
• /
• pp.1768-1772
• /
• 2007

본 연구에서는 국내 도시지역의 특성을 고려한 설계강우의 시간분포형에 따른 첨두유량의 변화를 규명하고자 Huff 및 Yen과 Chow의 시간분포방법을 이용하여 단시간 강우특성을 분석하였으며, 또한, 기왕의 연구인 건설교통부의 전기간 강우에 의한 시간분포와의 비교를 실시하고, 실제 도시지역에 적용하여 첨두유량의 변화를 분석하였다. 한다. 본 연구에서 선정한 대상지역은 서울, 부산과 대구지점이며, 강우자료는 1961년부터 2004년까지 44년간의 연속된 자료로서 기상청의 자기우량지 및 AWS자료를 이용하여 수집하였다. 첨두유량분석을 위한 대상유역으로는 서울특별시 일원의 성내와 반포배수구역과 부산광역시 일원의 동의대 시험유역, 경북 구미시 일원의 광평배수구역을 선정하였다. 본 연구의 수행으로 인해 얻어진 결과를 요약하면 다음과 같다. 첫째, Huff의 시간분포방법의 경우에는 단시간 강우자료의 지속기간에 따른 최대강우강도는 제1구간에서 발생할 확률이 가장 높게 나타났고, 제3구간에서 가장 낮게 발생하였으며, 기왕의 연구들과 차이가 발생하였다. 둘째, Yen과 Chow의 시간분포방법에서는 기왕의 연구와 본 연구의 결과에서 전반적으로 큰 차이가 발생하지 않았으며, 셋째, 첨두유량의 비교에서는 시간분포방법에 따라 변화가 발생함을 알 수 있었다.

• Journal of Korean Society of Transportation
• /
• v.27 no.6
• /
• pp.29-44
• /
• 2009

A variety of research efforts, using advanced wireless communication technologies, have been made to develop more reliable traffic information system. This study presents a novel decentralized traffic information system based on vehicle infrastructure integration (VII). A major objective of this study was also to devise a methodology for determining appropriate spacing of roadside equipment (RSE) to fully exploit the benefits of the proposed VII-based traffic information system. Evaluation of travel time estimation accuracy was conducted with various RSE spacings and the market penetration rates of equipped vehicle. A microscopic traffic simulator, VISSIM, was used to obtain individual vehicle travel information for the evaluation. In addition, the ANOVA tests were conducted to draw statistically significant results of simulation analyses in determining the RSE spacing. It is expected that the proposed methodology will be a valuable precursor to implementing capability-enhanced next generation traffic information systems under the forthcoming ubiquitous transportation environment.

• Journal of Korean Society of Transportation
• /
• v.24 no.2 s.88
• /
• pp.19-30
• /
• 2006

This study deals with the optimized detector location considering the traffic characteristics in National Highway. Although there ave many construction works for ITS in National Highway, there is not specific criteria for detector location which can effect the accuracy of traffic information. This study. therefore. aims to Provide the optimized detector location criteria which can represent the traffic characteristics of National Highway. It collects traffic factors of study area by GPS Probe-car and defector, and Presents the optimized detector location by the correlation analysis between spot-speed and link-travel-time. The main results of this study are as followings ; First, the correlation between the spot-speed and link-travel-time Presents the opposite bell shape of the graph (U-type owe) which is increased it?on the upstream then, declined through some unspecified Point of the link. Second, the optimized detector location usually distributes around midstream of link, even though it does not have a consistency. Third, therefore, the optimized detector location generally should be located between $55{\sim}60%$ of total link length. Forth. high level of vertical slope is one of the most important factors of detector location, so it should be excluded for determination of optimized detector location. Finally, expecting that the results of this study would improve the accuracy of travel time estimation and forecasting.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.22 no.3
• /
• pp.38-50
• /
• 2023

Recent advances in artificial intelligence (AI) technology have enabled the integration of AI technology into image sensors, such as Closed-Circuit Television (CCTV), to detect specific traffic incidents. However, most incident detection methods have been carried out using fixed equipment. Therefore, there have been limitations to incident detection for all roadways. Nevertheless, the development of mobile image collection and analysis technology, such as image sensors and edge-computing, is spreading. The purpose of this study is to estimate the reducing effect of the incident detection time according to the introduction level of mobile image collection and analysis equipment (or connected vehicles). To carry out this purpose, we utilized data on the number of incidents collected by the Suwon branch of the Gyeongbu expressway in 2021. The analysis results showed that if the market penetration rate (MPR) of connected vehicles is 4% or higher for two-lane expressway and 3% or higher for three-lane expressways, the incident detection time was less than one minute. Furthermore, if the MPR is 0.4% or higher for two-lane expressways and 0.2% or higher for three-lane expressways, the incident detection time decreased compared to the average incident detection time announced by the Korea Expressway Corporation for both two-lane and three-lane expressways.

• The KIPS Transactions:PartA
• /
• v.16A no.3
• /
• pp.169-180
• /
• 2009

With fixed sinks, the network stability could be improved while the network life time could be decreased by the rapid energy dissipation around the fixed sink because of the concentrated network traffic from sensor nodes to the fixed sink in wireless sensor network. To address this problem, mobile sinks, which decentralize the network traffic, has received a lot of attention from many researchers recently. Since a mobile sink has a limited period to communicate with each sensor nodes, it is necessary for a scheduling algorithm to provide the fairness of data collection from each sensor nodes. In the paper, we propose the new scheduling algorithm, ASF(Availability based Scheduling scheme for Fair data collection), for the fair data collection by a mobile in the sensor networks. The ASF takes account of the distance between each sensor nodes and the mobile sink as scheduling metric, as well as the amount of collected data from each sensor nodes. Experiment results shows that the ASF improves the fairness of data collection among the sensor nodes, comparing to existing algorithm.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.20 no.6
• /
• pp.133-146
• /
• 2021

Providing weather information on roads today means that the road weather conditions near weather observation points are presented to road managers and road users. These weather observation points are managed by the Korea Meteorological Administration. However, it is difficult to provide accurate weather information due to physical limitations such as the presence of precipitation collection points, distance to weather information provision roads, and the presence of mountains. Therefore, this study intends to perform a comparative analysis by time zone and administrative dong provided by the Meteorological Administration using the wiper information among the information contained in the PVD(Probe Vehicle Data) collected from the highway C-ITS project. As a result of the analysis it was possible to detect rainfall even in the event of local rainfall and rainfall over a long period of time and the higher the cumulative precipitation per hour, the higher the probability of coincidence. This study is meaningful because it used PVD to solve the limitations of the existing road weather information provision method and suggested utilization plan for PVD.