• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.12
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• pp.2730-2736
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• 2010

Recently, various networks have been introduced in the car of the internal and external sides. These have been integrated by one HMI(Human Machine Interface) to control devices of each network and provide information service. The existing vehicle navigation system, providing GPS based vehicle positioning service, has been included to these integrated networks as a default option. The GPS has been used to the most universal device to provide position information by using satellites' signal. But It is impossible to provide the position information when the GPS can't receive the satellites' signal in the area of tunnel, urban canyon, or forest canopy. Thus, this paper propose and implement the method of measuring vehicle position by using the sensing data of internal CAN network and external Wi-Fi network of the integrated car navigation circumstances when the GPS doesn't work normally. The results obtained by implementation shows the proposed method works well by map matching.

• Journal of the Korean Society of Marine Environment & Safety
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• v.20 no.5
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• pp.564-570
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• 2014

This paper propose a method to detect and track a human face using depth information as well as color images for detection of drowsy driving. It consists of a face detection procedure and a face tracking procedure. The face detection procedure basically uses the Adaboost method which shows the best performance so far. But it restricts the area to be searched as the region where the face is highly possible to exist. The face detected in the detection procedure is used as the template to start the face tracking procedure. The experimental results showed that the proposed detection method takes only about 23 % of the execution time of the existing method. In all the cases except a special one, the tracking error ratio is as low as about 1 %.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.275-280
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• 2005

in order to promote e-business in port-logistics area, many studies have been conducted since then. However, despite those studies related to e-business in this area, prominent achievements have not been presented, and moreover, research in academic side have been very rare, compare to toot of practical side. In this paper, we focus on factors affecting adoption of e-business in the field of port-logistics industry. The purpose of this study is to find the factors which affect adoption of e-business in port logistics industry, and establish its structure, based on a cognitive modeling. To achieve the aim of this research, we framed a cognitive map with empirical data collected from port-logistics firms. And from the results of analysis, some critical points for successful adoption of e-business in port-logistics industry were suggested.

• Journal of Navigation and Port Research
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• v.42 no.6
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• pp.453-458
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• 2018

The analysis of maritime traffic refers to the processes that are used to analyze the environmental characteristics of the target area and, based on this analysis, predict the traffic pattern of the vessels. In recent years, maritime traffic analysis has become significant with increase maritime traffic volume and expansion of VTS coverage area. In addition, maritime traffic analysis is also applicable in the safety assessment of port facilities and the VTS (Vessel Traffic Service). In this paper, we propose a method to analyze the vessels' traffic pattern by using the heat map and the centroid method. This method is efficient for the analysis of the vessel trajectory data where spatial characteristics change with time. In the experiments, the traffic density and centroid by time have were analyzed. Trajectory data collected at Mokpo harbor was adopted. Finally, we reviewed the experimental results to verify the feasibility of the proposed method as a maritime traffic analysis method.

• Journal of Advanced Navigation Technology
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• v.26 no.5
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• pp.281-288
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• 2022

This study quantitatively analyzed the human casualties that can occur when a multicopter-type Urban Air Mobility (UAM) with a weight of about 1 ton and a speed of about 100 km/h falls in an urban area. Based on the population density and building database in Seoul, the population exposed to collisions in the event of a UAM crash was derived. Through the ballistic descent model, the accident impact radius of the UAM fall was calculated. In addition, the change in human casualties on the ground was analyzed when the accident impact radius increased. Finally, the ground risk map was created for Seoul, and it was confirmed that about 1 to 10 people could be injured when a UAM crash.

• Journal of Advanced Navigation Technology
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• v.27 no.2
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• pp.162-166
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• 2023

This study is a pilot operation roadmap for the introduction of the co-pilot qualification (MPL) system, and the introduction of the MPL system in Korea is a new pilot education and qualification system based on competency. Therefore, it may be difficult to prepare for various matters such as securing initial regulations, securing training businesses or trainees, and establishing training infrastructure, so the roadmap necessary for pilot operation is very important for the successful introduction of the MPL system. In order to secure a training program and qualification system with proven MPL systems in the domestic aviation market, the government and aviation industry members will jointly participate to highlight the importance of a pilot operation roadmap for the domestic flight environment.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.8
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• pp.667-675
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• 2013

This paper presents vision-based techniques for underwater landmark detection, map-based localization, and SLAM (Simultaneous Localization and Mapping) in structured underwater environments. A variety of underwater tasks require an underwater robot to be able to successfully perform autonomous navigation, but the available sensors for accurate localization are limited. A vision sensor among the available sensors is very useful for performing short range tasks, in spite of harsh underwater conditions including low visibility, noise, and large areas of featureless topography. To overcome these problems and to a utilize vision sensor for underwater localization, we propose a novel vision-based object detection technique to be applied to MCL (Monte Carlo Localization) and EKF (Extended Kalman Filter)-based SLAM algorithms. In the image processing step, a weighted correlation coefficient-based template matching and color-based image segmentation method are proposed to improve the conventional approach. In the localization step, in order to apply the landmark detection results to MCL and EKF-SLAM, dead-reckoning information and landmark detection results are used for prediction and update phases, respectively. The performance of the proposed technique is evaluated by experiments with an underwater robot platform in an indoor water tank and the results are discussed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.227-234
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• 2004

Recently huge typhoons had attacked to the coastal waters in Korea and caused disastrous casualties in those area. There are some discussions on correction to the design parameters for the coastal structures. Wave transformation computations with the extreme waves are of value in planning and constructing engineering works, especially in coastal regions. Prediction of typhoon surge elevations is based primarily on the use of a numerical model in this study, since it is difficult to study these events in real time or with use of physical models. Wave prediction with a two dimensional numerical model for a site with complicated coastal lines and structures at the period of typhoon 'Maemi' is discussed. In order to input parameters for the extreme wave conditions, we analyzed the observed and predicted typhoon data. Finally we applied the model discussed above to the storm surge and extreme wave problem at Busan Harbor, the southeast coast of Korea. Effects of water level variation and transformation of the extreme waves in relation with the flooding in coastal waters interested are analyzed. We then mack an attempt to presen a basic hazard map for the corresponding site.

• Journal of the Korean Geographical Society
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• v.37 no.4
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• pp.403-424
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• 2002

Internet GIS sites are currently being emersed as one of important places to acquire spatial information in stead of traditional paper map. This paper is intended to identify critical factors in evaluating internet GIS site quality. While there should be a considerable number and variety of factors associated with internet GIS site quality, this paper focuses on the site characteristics that generate visitor satisfaction. After carefully reviewing the previous literature of general website evaluation, four criteria that are critical to internet GIS site quality were identified: (1) contents (2) design (3) navigation (4) spatial analysis. An empirical study for a case study site has been conducted to confirm the validity for the four evaluation factors. A site diagnosis by the criteria provided many valuable information for Web site quality. For example, it was found that many symbols in the site made the visitors confusing and navigation interface was not very user-friendly to track required positional information due to inconsistency in terms of cartographic concept. The results indicate that the evaluation criteria may be used not only as a tool to evaluate internet GIS sites, but also as a checklist to improve the quality of a web site that is under development and requires remodelling. As a result, the research findings have established the new concept of ‘the quality assurance of the internet GIS site’, proposed as an initial aim of this paper Many of the issues unresolved in this project could be improved, based on the understanding of the four criteria suggested in this paper.

• Journal of Navigation and Port Research
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• v.39 no.1
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• pp.23-28
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• 2015

This paper is to identify the dynamic phenomenon of the marine pollution management that is connected directly or indirectly by using system dynamics analysis. The method used herein is based on system dynamics analysis that analyzed the sub-systems for marine pollution management. Furthermore designed feedback loop between system elements. And made total casual map of marine pollution management. The main results of the paper are the following : 1. It's necessary to equipments and technology development and law revision for feedback loop slump of initial measures delay in oil spill. 2. It should be come up with partnerships and new business for community corrosion non-proliferation caused by social conflicts. 3. Marine pollution management should be an obligation that must be minimized to include social conflicts in the community and national levels besides oil spill response on-site. This model confirmed the hidden cause of delay by existing response plans, manuals and programs. And oil spill response in broader sense is more important from now on. The result can be useful in the guidance of marine pollution and management.