• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.157-158
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• 2016

본 논문에서는 구글 탱고 플랫폼을 이용한 실내 3차원 지도 취득과 이를 이용한 증강 내비게이션을 구현하는 방법을 제시한다. 취득한 3차원 지도는 가공을 통해 서버로 전송된다. 내비게이션은 초기 위치를 QR 코드로 파악하고 목적지와의 관계를 통해 가속도 센서와 방향 센서를 사용하여 올바른 길로 인도한다. 증강현실을 구현하기 위해 길 안내화면은 기기의 카메라를 통해 현실을 배경으로 하였고, OpenGL ES 라이브러리를 활용하여, 직진, 좌회전, 우회전 총 세 개의 화살표를 렌더링 한 후 카메라위에 중첩하였다. 증강 내비게이션을 통해 사용자는 스마트폰의 화면만 보고 실내에서 안전하게 장애물을 피하며 빠르게 목적지까지 도착할 수 있게 된다.

• The Korean Journal of Air & Space Law and Policy
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• v.25 no.2
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• pp.3-42
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• 2010

This study shows that the Warsaw Convention in Article 1 is not an international transport, origin, destination and all the Contracting Parties is not a purely domestic shipping does not apply to this Treaty. Therefore, in this case, liability and damages for the governing law is selected according to international law should be. In addition, in the case of international shipping and passenger air carrier of this treaty to govern the relationship, not all of which aim is the unification of certain rules. Product liability is the most important thing of all. As for the aircraft manufacturer's responsibility according to international law also does not select the applicable law is not. The Warsaw Convention Article 17 apply for the passenger's personal damages Article 2 Section 2 leads to the most prestigious type of damages, and subjective and objective with regard to the scope of international law are being committed. In this regard, Governing Law-related aircraft accidents leading to serious accidents in China of an aircraft crash in Nagoya, Japan, the airport can be. China Airlines accident of the aircraft are operated for the unification of the rules for international air transport on the Warsaw Convention as amended by Article 17, Article 18 of damages by the tort claims and claims based on damages caused by, or this cause of aircraft accidents air bus maker by the Corporation for damages in tort claims for damages claimed on the basis of solidarity is the case. In the case of these grand scale claim responsibility for the airline, air transport agreements to determine the applicable law of the contract is very complex. There for the contracts based on individual circumstances or origin, and by considering because each must be determined.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.5 no.3 s.11
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• pp.1-12
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• 2006

Nowdays ITS is being installed in each local autonomous entity, and BIS installation and operation is prior to other ITS sub systems for the public service. The methods of positioning md wireless communication in BIS are DSRC+DSRC, GPS+wireless communication, Beacon+Beacon, which are chosen and operated as the local features. Before this study, the before and after survey of BIS' quality have only been done without performance evaluation of BIS. So the method of BIS' evaluation have been established including performance test in this paper. And the evaluation of some BIS' reliability and efficiency have been done using the reliability of arriving data and the wireless communication response rates after choosing typical BIS' sub system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.84-85
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• 2023

자율운항선박은 인공지능, 센서 및 통신 기술을 활용하여 스스로 운항하는 선박으로, IMO 자율화등급 3단계 이상의 자율운항선박을 개발하여 선원의 개입을 최소화하기 위해 많은 연구가 진행 중이다. 항만에서는 스마트항만을 위한 연구와 함께 자율운항선박과 스마트항만간 연계를 통한 운항 효율성 향상이 주목받고 있다. 운항 효율성 향상을 위해 과거 항적 데이터 및 항만 Port-mis 데이터를 활용한 입출항 지원 연구가 진행되면서 자율운항선박이 통항량이 적은 시간에 항만에 도착할 수 있도록 스케쥴링 계획 및 이에 따른 전역경로 생성 연구가 진행되고 있다. 본 연구에서는 입출항 스케쥴링을 통해 자율운항선박 전역경로가 생성되어 운항 중 급작스런 통향량 증가나 다른 외부요인으로 인해 정박지에서의 대기가 필요한 경우 정박지 대기를 고려한 자율운항선박의 전역경로를 생성에 대한 고려사항을 연구하였다.

• Journal of Korean Society of Transportation
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• v.26 no.1
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• pp.127-135
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• 2008

Generally, optimum shortest path algorithms adopt single attribute objective among several attributes such as travel time, travel cost, travel fare and travel distance. On the other hand, multi-objective shortest path algorithms find the shortest paths in consideration with multi-objectives. Up to recently, the most of all researches about multi-objective shortest paths are proceeded only in single transportation mode networks. Although, there are some papers about multi-objective shortest paths with multi-modal transportation networks, they did not consider transfer problems in the optimal solution level. In particular, dynamic programming method was not dealt in multi-objective shortest path problems in multi-modal transportation networks. In this study, we propose a multi-objective shortest path algorithm including dynamic programming in order to find optimal solution in multi-modal transportation networks. That algorithm is based on two-objective node-based label correcting algorithm proposed by Skriver and Andersen in 2000 and transfer can be reflected without network expansion in this paper. In addition, we use non-dominated paths and tree sets as labels in order to improve effectiveness of searching non-dominated paths. We also classifies path finding attributes into transfer and link travel attribute in limited transit networks. Lastly, the calculation process of proposed algorithm is checked by computer programming in a small-scaled multi-modal transportation network.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.2C
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• pp.160-169
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• 2002

An ATM-PON (Passive Optical Network) system consists of an OLT (Optical Line Termination), multiple ONUs (Optical Network Units) and the optical fiber which has a PON (Passive Optical Network)configuration with a passive optical splitter. To avoid cell collisions on the upstream transmission, an elaborate procedure called as ranging is needed when a new ONU is installed. The ONU can send upstream cells according to the grant provided by the OLT after the procedure. To prevent collisions being generated by the variation of several factors, OLT must performs continuously the cell phase monitoring. It means that the OLT predicts the expected arrival time, monitors the actual arrival time for all upstream cells and calculates the error between the times. Accordingly, TC (Transmission Convergence) chip in the OLT needs a predictor which predicts the time that the cell will arrive for the current grant. In this paper, we implement the predictor by using shift registers of which the length is equivalent to the equalized round trip delay. As each register consists of 8 bit, OLT can identify which ONU sends what type of cell (ranging cell, user cell, idle cell, and mini-slot). Also, TC chip is designed to calculate the effective bandwidth for all ONUs by using the function of predictor. With the time simulation and the measurement of an implemented optical board, we verify the operation of the predictor.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.177-186
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• 2020

This paper deals with the car paint sequencing problem (CPSP) that the entrance sequence is to same colored group with maximum sequenced cars for the buffer arriving cars from the body shop. This problem classified by NP-complete problem because of the exact solution has not obtained within polynomial time. CPSP is aim to minimum pugging number that each pugging must be performs at color changing time in order to entirely cleaning the remaining previous color. To be obtain the minimum number of moving distance with window concept and minimum number of pugging, this paper sorts same color and arriving sequence. Then we basically decide the maximum length section color time to winner team using stage race method. For the case of the loser team with no more racing or yield to loser team and more longer stage in upcoming racing, the winner team give way to loser team. As a result, all cars(runners) are winner in any stage without fail. For n cars, the proposed algorithm has a advantage of simple and fast with O(nlogn) polynomial time complexity, this algorithm can be get the minimum number of moving distance and purging for all of experimental data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.859-867
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• 2019

Severe weather conditions, such as heavy snowfall, rain, heatwave, etc., may affect travel behaviors of people and finally change traffic patterns in transportation networks. To deal with those changes and prevent any negative impacts on the transportation system, understanding those impacts of severe weather conditions on the travel patterns is one of the critical issues in the transportation fields. Hence, this study has focused on the impacts of a weather condition on travel patterns of public transportations, especially when a heavy snowfall which is one of the most critical weather conditions. First, this study has figured out the most significant weather condition affecting changes of public transport ridership using weather information, card data for public transportation, mobile phone data; and then, developed a decision-tree model to determine complex inter-relations between various factors such as socio-economic indicators, transportation-related information, etc. As a result, the trip generation of public transportations in Seoul during a heavy snowfall is mostly related to average access times to subway stations by walk and the number of available parking lots and spaces. Meanwhile, the trip attraction is more related to business and employment densities in that destination.

• Journal of Korean Society of Transportation
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• v.36 no.3
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• pp.203-215
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• 2018

This study suggests a method to construct large scale dynamic O/D reflecting the characteristic that the passengers' travel patterns change according to the land use patterns of the destination. There are limitations in the existing research about dynamic O/D estimation method, such as the difficulty of collecting data, which can be applied only to a small area, or limiting to a specific transportation network such as highway networks or public transportation networks. In this paper, we propose a method to estimate dynamic O/D without limitation of analysis area based on transportation resources that can be easily collected and used according to the big data era. Clustering analysis was used to calculate the departure time trip distribution ratio based on arrival time and departure time trip distribution function was estimated by each cluster. As a result of the comparison test with the survey data, the estimated distribution function was statistically significant.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.4
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• pp.179-188
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• 2017

It is very challenging to analyze the traffic flow in the city because there are lots of traffic accidents, intersections, and pedestrians etc. Now, even in mid-size cities Bus Information Systems(BIS) have been deployed, which have offered the forecast of arriving times at the stations to passengers. BIS also provides more informations such as the current locations, departure-arrival times of buses. In this paper, we perform the time-series analysis of the traffic flow using the data of the average trvel time and the average speed between stations extracted from the BIS. In the mid size cities, the data from BIS will have a important role on prediction and analysis of the traffic flow. We used the Dynamic Linear Model(DLM) for how to make the time series forecasting model to analyze and predict the average speeds at the given locations, which seem to show the representative of traffics in the city. Especially, we analysis travel times for weekdays and weekends separately. We think this study can help forecast the traffic jams, congestion areas and more accurate arrival times of buses.