• Proceedings of the Korean Society of Computer Information Conference
• /
• 2015.07a
• /
• pp.275-276
• /
• 2015

네트워크 가상화를 위한 대표적인 개방적 아키텍처로 OpenFow를 들 수 있다. OpenfFow는 가상 네트워크(Software Defined Network) 개념을 실현하기 위한 랜 스위치 제어 프로토콜의 집합체로서 데이터 센터 등 주로 유선랜 환경을 목표로 설계되어 활용되고 있다. 이 논문에서는 OpenFlow를 무선랜의 AP(Access Point)에 적용하여 WiFi 디바이스들로 구성된 가상 무선 네트워크 관리 프레임을 구현한다. 구현된 관리 프레임은 WiFi 디바이스들의 토폴로지와 트래픽 상황을 중앙 관제 센터에서 모니터링할 수 있고, 플로우 경로를 설정함으로써 라우터를 경유하지 않고 AP 수준에서 스위칭(라우팅)이 가능하여 전체적인 트래픽 혼잡을 크게 줄일 수 있다.

• Journal of Korean Society of Transportation
• /
• v.22 no.4 s.75
• /
• pp.107-116
• /
• 2004

VMS를 통한 정보제공에는 과도반응과 통행집중의 위험부담이 따른다. 즉 대안경로간에 이루어져야 할 통행배분을 정확히 유도할 수 있는 VMS 메시지란 존재치 않는다. VMS 메시지에 의해 특정 경로가 교통상황이 타 경로에 비해 좋다고 정보가 주어질 때, 그 정보에 대한 과도반응과 그 특정경로에 대한 통행집중 문제가 발생하여 정보제공에 의해 오히려 상황이 악화될 수 있다. 본 연구에서는 대안경로간의 물리적 특성 측면에서 우열이 있는 가상 네트워크를 대상으로 하여, 과도반응과 통행집중 문제를 극복하고 대안경로간의 적절한 통행배분을 달성하기 위한 VMS 운영알고리즘을 개발하는 것을 목표로 한다. VMS정보제공 결과, 즉 VMS를 통해 상황이 좋다고 알려준 경로에 통행이 집중할 경우 문제가 될 것인가 여부를 미리 예측해 보고, 문제가 될 경우 정보제공 전략을 수정하도록 하는, 피드백 제어에 예측적 방식을 접목하였다. 본 연구에서 제안한 알고리즘의 주요 기능은 다음과 같다. 1. 교통량, 속도 등에 대한 실시간 모니터링 시스템이 구축되어 있음을 전제로 한다. 2. 실시간 제어에는 모니터링 결과와 이에 근거한 정보제공전략의 시행사이에는 시간차가 존재한다. 이러한 시간차이로 인하여 단기예측이 필요하고, 이를 수행하는 모듈이 있다. 3. 정보제공 결과로 특정 경로에 과부하가 걸리는지 여부를 예측하기 위하여, 그 판단기준으로 그 경로의 실제 용량 산정이 필요하다. 이에 혼잡의 시공간적 전개에 따라 변하는 동적 용량을 산정하는 모듈이 있다. 4. 대안 경로간 통행배분 목표치를 수리적으로 산정할 수는 있으나, 이를 자동적으로 이루어 주는 메시지는 존재하지 않는다. 아울러 현실적으로 예측 불가능한 외란을 모형에 의존하여 예측하기 보다는, 계속적인 피드백 레귤레이터(Regulator) 작동에 의해 보정하여 목표를 달성해 가는 자동제어 기능을 갖고 있다.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.1 no.1
• /
• pp.33-40
• /
• 2002

This paper presents the evaluation result of the Namsan 1st tunnel traffic information system, which is providing the real time queue length status and incidence information inside of the Namsan 1st tunnel, 1600meters long in the Seoul metropolitan CBD. This information system plays an important role because of notifying drivers to pay a toll for the tunnel path, the congestion information in advance. According to the analysis, an evident improvement on the tunnel path and its bypass without any conspicious adverse impact. Furthermore, survey analysis found that motorists placed a high value on the provided information. During peak time, the system turned out to help motorists to relax their hasty minds. As well, several performance indices showed the reduction of congestion and travel time variation on both of the tunnel path and its bypass, in spite of no traffic information on the bypass.

• Korean Journal of Remote Sensing
• /
• v.39 no.5_4
• /
• pp.1173-1183
• /
• 2023

Over the past 20 years, Korea's overall import and export cargo volume has increased at an average annual rate of approximately 5.3%. About 99% of the cargo is still being transported by sea. Due to recent increases in maritime cargo volume, congestion in maritime logistics has become challenging due to factors such as the COVID-19 pandemic and conflicts. Continuous monitoring of ports has become crucial. Various ground observation systems and Automatic Identification System (AIS) data have been utilized for monitoring ports and conducting numerous preliminary studies for the efficient operation of container terminals and cargo volume prediction. However, small and developing countries' ports face difficulties in monitoring due to environmental issues and aging infrastructure compared to large ports. Recently, with the increasing utility of artificial satellites, preliminary studies have been conducted using satellite imagery for continuous maritime cargo data collection and establishing ocean monitoring systems in vast and hard-to-reach areas. This study aims to visually detect ships docked at berths in the Busan New Port using high-resolution satellite imagery and quantitatively evaluate berth utilization rates. By utilizing high-resolution satellite imagery from Compact Advanced Satellite 500-1 (CAS500-1), Korea Multi-Purpose satellite-3 (KOMPSAT-3), PlanetScope, and Sentinel-2A, ships docked within the port berths were visually detected. The berth utilization rate was calculated using the total number of ships that could be docked at the berths. The results showed variations in berth utilization rates on June 2, 2022, with values of 0.67, 0.7, and 0.59, indicating fluctuations based on the time of satellite image capture. On June 3, 2022, the value remained at 0.7, signifying a consistent berth utilization rate despite changes in ship types. A higher berth utilization rate indicates active operations at the berth. This information can assist in basic planning for new ship operation schedules, as congested berths can lead to longer waiting times for ships in anchorages, potentially resulting in increased freight rates. The duration of operations at berths can vary from several hours to several days. The results of calculating changes in ships at berths based on differences in satellite image capture times, even with a time difference of 4 minutes and 49 seconds, demonstrated variations in ship presence. With short observation intervals and the utilization of high-resolution satellite imagery, continuous monitoring within ports can be achieved. Additionally, utilizing satellite imagery to monitor changes in ships at berths in minute increments could prove useful for small and developing country ports where harbor management is not well-established, offering valuable insights and solutions.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.31 no.1D
• /
• pp.43-50
• /
• 2011

The monitoring system for link travel speed using taxi probe is one of key sub-systems of ITS. Link travel speed collected by taxi probe has been widely employed for both monitoring the traffic states of urban road network and providing real-time travel time information. When sample size of taxi probe is small and link travel time is longer than a length of time interval to collect travel speed data, and in turn the missing state is inevitable. Under this missing state, link travel speed data is real-timely not collected. This missing state changes from single to multiple time intervals. Existing single interval prediction techniques can not generate multiple future states. For this reason, it is necessary to replace multiple missing states with the estimations generated by multi-interval prediction method. In this study, a multi-interval prediction method to generate the speed estimations of single and multiple future time step is introduced overcoming the shortcomings of short-term techniques. The model is developed based on Non-Parametric Regression (NPR), and outperformed single-interval prediction methods in terms of prediction accuracy in spite of multi-interval prediction scheme.

• Journal of Korea Multimedia Society
• /
• v.14 no.7
• /
• pp.933-939
• /
• 2011

Recent heavy rains have caused natural disasters such as flooding and landslides nationwide. Because of flooding occurrence in most of the roads, traffic congestion and isolation caused many loss especially at rush hour. Constant monitoring and analysis of past disaster history data are needed to prevent disasters on areas prone to floods and disaster risk areas. If we managed to obtain traffic volume, speed, phase around intersection using disaster history data when disasters occurred, we can analyse traffic congestion, change of disaster scale and rainfall. In this study, We select a target district to develop by using a route from Dae-nam intersection in Busan Namgu Daeyoeon-dong, over Gwangan large bridge up until Haeundae Olympic intersection, We developed a system which searches disaster history information, traffic volume using disaster history data based on user selection of the road.

• The Journal of the Korea Contents Association
• /
• v.18 no.2
• /
• pp.1-10
• /
• 2018

Aggression among pigs adversely affects economic returns and animal welfare in intensive pigsties. Recently, some studies have applied information technology to a livestock management system to minimize the damage resulting from such anomalies. Nonetheless, detecting each pig in a crowed pigsty is still challenging problem. In this paper, we propose a new Kinect camera and deep learning-based monitoring system for the detection of the individual pigs. The proposed system is characterized as follows. 1) The background subtraction method and depth-threshold are used to detect only standing-pigs in the Kinect-depth image. 2) The standing-pigs are detected by using YOLO (You Only Look Once) which is the fastest and most accurate model in deep learning algorithms. Our experimental results show that this method is effective for detecting individual pigs in real time in terms of both cost-effectiveness (using a low-cost Kinect depth sensor) and accuracy (average 99.40% detection accuracies).

• Journal of Broadcast Engineering
• /
• v.12 no.3
• /
• pp.203-213
• /
• 2007

DMB video/audio service was successfully launched. DMB data service is a matter of primary concern now. The TTI(Traffic and Travel Information) service is considered as a killer application of the data service. Tn this paper, we propose a method for design and implementation of the broadcasting system for TTI service. The proposed TTI service system consists of an authoring tool, the DB module, the Transmission module and Monitoring module. This system satisfies the national TTA standards of the Traffic and Travel Information data services for terrestrial DMB; TPEG(Transport Protocol Experts Group) platform. The system was designed to support real-time automatic transmission for CTT and CTT SUM, and non real-time authoring & automatic transmission for POI and SDI, and was focused on the capability to make high-quality contents efficiently and to send them to the data inserter reliably. The performance of the implemented system was proven through the conformance tests with the various commercial receivers. After the continuous upgrade, the system is being used in commercial service.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.3
• /
• pp.677-684
• /
• 2018

Recently, negative emotional responses by drivers are a growing problem, which leads to not only a traffic accident but a crime so called 'road rage' in countries with heavy traffics including South Korea. Under such a circumstance, measuring stress- and fatigue-induced emotional responses by means of wireless communication and a wearable system would be useful. The purpose of this study is to implement a system that measures various signals from a driver, derives and monitors his emotional responses from the measurements and verify its derivations with reliability. This paper, as a first part of the research, describes how the system has been implemented with experimental methods.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.10C
• /
• pp.629-634
• /
• 2011

Empty space in the parking lot of the parking space to analyze the effective use of technology and transportation may be useful in the jungle, However, conventional analytical methods impractical parking space or need a fast processing speed. In this paper, real-time parking, so parking monitoring methods for detection is proposed. Gray-level images using the proposed method to determine whether the parking and the parking space was used to analyze. To verify the performance of the proposed method in an outdoor parking lot 129 video capture and analysis of experimental results in 98.5% of the parking space, parking space, the success of the proposed method was proved to be effective in the analysis.