• Korean Journal of Remote Sensing
• /
• v.27 no.6
• /
• pp.743-752
• /
• 2011

One of main concerns of operators of the Earth observation satellite is taking images as many as possible under the constraints of satellite resources during fixed period. In order to achieve this goal, satellite operators are strongly required to generate the optimized image collection plans, and it is a very time consuming process to achieve an optimized image collection plan when it is done by manual. This paper suggests automation of image collection planning based on the dynamic programming algorithm to reduce the time required for image collection planning. The validity of the proposed method is tested using operating satellite system and the result is given in this paper.

• Korean Journal of Remote Sensing
• /
• v.28 no.4
• /
• pp.459-466
• /
• 2012

Satellite operation is divided as user's request, image collection planning, product generation, distribution. Image collection planning is to make image collection plan of satellite to reflect user's request in proper time based on NTO (New Task Order) and AO (Archive Order) using limited satellite resources. Image collection planning has high computational cost because of considering several variables simultaneously, is to be performed identical process repeatedly. In this paper, optimization research of image collection planning is performed for efficient planning. First, formulation of image collection planning is made to require satellite image as much as possible and then Heuristic algorithm is suggested for solution of formulation.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.343-345
• /
• 2003

This paper describes the system development for the Ground Control Point collection and management through the major coastline region in KOREA, which will collect and manage the ground control point based on high resolution satellite image database. The module of this system is following 1) GCP/Coarstline research plan module 2) GCP/Coarstline ground collection module 3) GCP/Coarstline post processing module Our team developed the core components of ‘High Resolution Satellite Image Processing Technique’ project, and this system, among applications of our project, is constructed to apply to practical use. In this application, you will also see how to apply core components of our project.

• The Korean Journal of Archival Studies
• /
• no.10
• /
• pp.112-144
• /
• 2004

Oral history has value that steps over the class consciousness and party feeling that records have, and enables a general representation of a human experience. Beside, It must be managed urgently because a collection of oral history has unique and limited. However, domestic related institution do not keep management for release and use of oral history in their mind are only concentrating on accession. Lately, National History Compilation Committee passes through faithful planning procedures and is collecting an oral history collection project. A merit of this project is to have attempted an image photographing. This study is propose that to examines over the all steps to say oral history collection activity to information service and a preservation from collection planning of organization. However, this study is insufficient in the management method how it is connected if does in order to manage the oral history which is collected with a part of a record in a archival institution because this study was only for the purpose of management of oral history. This problem will be studied through a process of checking the real thing of oral history. This study proposed general methodology for oral history management, if institution had a plan of collection and management or had some collection result.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.32 no.2D
• /
• pp.129-136
• /
• 2012

In the US, Japan and Germany the Aerial-Based Vehicle Detection System, which collects real-time traffic data using the Unmanned Aerial Vehicle (UAV), helicopters or fixed-wing aircraft has been developed for the last several years. Therefore, this study was done to find out whether the Aerial-Based Vehicle Detection System could be used for real-time traffic data collection. For this purpose the study was divided into two parts. In the first part the possibility of retrieving real-time traffic data such as travel speed from the aerial photographic image using the image processing technique was examined. In the second part the quality of the retrieved real-time traffic data was examined to find out whether the data are good enough to be used as traffic information source. Based on the results of examinations we could conclude that it would not be easy for the Aerial- Based Vehicle Detection System to replace the present Vehicle Detection System due to technological difficulties and high cost. However, the system could be effectively used to make the emergency traffic management plan in case of incidents such as abrupt heavy rain, heavy snow, multiple pile-up, etc.

• International conference on construction engineering and project management
• /
• 2015.10a
• /
• pp.317-320
• /
• 2015

Documenting work-in-progress on construction sites using images captured with smartphones, point-and-shoot cameras, and Unmanned Aerial Vehicles (UAVs) has gained significant popularity among practitioners. The spatial and temporal density of these large-scale site image collections and the availability of 4D Building Information Models (BIM) provide a unique opportunity to develop BIM-driven visual analytics that can quickly and easily detect and visualize construction progress deviations. Building on these emerging sources of information this paper presents a pipeline for model-driven visual analytics of construction progress. It particularly focuses on the following key steps: 1) capturing, transferring, and storing images; 2) BIM-driven analytics to identify performance deviations, and 3) visualizations that enable root-cause assessments on performance deviations. The information requirements, and the challenges and opportunities for improvements in data collection, plan preparations, progress deviation analysis particularly under limited visibility, and transforming identified deviations into performance metrics to enable root-cause assessments are discussed using several real world case studies.

• Journal of Korean Academy of Nursing Administration
• /
• v.11 no.3
• /
• pp.275-288
• /
• 2005

Purpose: The Purpose of this study was to identify reasons behind the high turnover rate of nurses, and to delineate measures for inactive nurses to participate in professional nursing activities so as to upgrade the quality of the health care delivery system in Korea. Thus, tried this study to drive market entry of these idleness manpower. Methods: This study used the action research, to collect idea from hospital/nurse administrators, nurses on the job, part-time nurses. Results: This study basic data about flexible shift form through scientific paper, Internet, individual contact source collection do, and compare each situation by direct conversation with a nurse, director of a hospital, nursing administrators about flexible shift form, and analyze example of hospital which utilize flexible shift form actually or utilized and deduced advantage, shortcoming, cause of failure, cause of success, other application plan. Conclusions: 1. Emphasize that database about idleness manpower should be put priority certainly. 2. In case of idleness manpower wants a re-employment hospital and institution which can connect to administer demonstration premise . 3. Emphasize that need organ to enforce education program and this that idleness manpower can apply in nursing spot. 4. Premise nurse's great people image and research about method that convert productivity of nursing to money.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.24 no.4
• /
• pp.359-365
• /
• 2006

Recently generated natural disaster of rainfall is transformed into nationwide generate form from a specific region of generated form that damages are steadily growing. such natural disaster lead to much influence such as socioeconomic, financial, physical and casualties etc, therefore model collection can be a step required establishment of systematically management foundation and offer of systematic solved plan. this study proposed to analyze and arrange pattern of disaster and systems designed plan and establishment further scientific, prompt service of disaster. with GIS technique for decision-making offer the necessary preliminary data. also, each city have orthophoto and digital elevation model that analyze real topography and situation. with establish management system in order to carry out appropriate service of disaster management and establish realistic management system. system had established that OpenGL make three dimensional illustrate scale image data and digital elevation model therefore a module of section analysis developed way to illustrate and to analyze topography and longitudinal section in screen.

• Korean Journal of Remote Sensing
• /
• v.38 no.6_1
• /
• pp.1109-1124
• /
• 2022

This study proposes a marine debris monitoring methods using satellite and drone multispectral images. A multi-layer perceptron (MLP) model was applied to detect marine debris using Sentinel-2 satellite image. And for the detection of marine debris using drone multispectral images, performance evaluation and comparison of U-Net, DeepLabv3+ (ResNet50) and DeepLabv3+ (Inceptionv3) among deep learning models were performed (mIoU 0.68). As a result of marine debris detection using satellite image, the F1-Score was 0.97. Marine debris detection using drone multispectral images was performed on vegetative debris and plastics. As a result of detection, when DeepLabv3+ (Inceptionv3) was used, the most model accuracy, mean intersection over union (mIoU), was 0.68. Vegetative debris showed an F1-Score of 0.93 and IoU of 0.86, while plastics showed low performance with an F1-Score of 0.5 and IoU of 0.33. However, the F1-Score of the spectral index applied to generate plastic mask images was 0.81, which was higher than the plastics detection performance of DeepLabv3+ (Inceptionv3), and it was confirmed that plastics monitoring using the spectral index was possible. The marine debris monitoring technique proposed in this study can be used to establish a plan for marine debris collection and treatment as well as to provide quantitative data on marine debris generation.

• Korean Institute of Interior Design Journal
• /
• v.26 no.5
• /
• pp.65-74
• /
• 2017

The purpose of this research is to analyze characteristics of street elements when pedestrians have a view in the street. The research was utilized eye-tracking experiment and two times survey before and after experiment. The experiment is composed as follows. The data collection was conducted two days period from March 30 to 31, 2017. There were 43 participants who were all male and undergraduate students. In the data recording, the stimulus image was presented 65 seconds on a 23-inch monitor. Prior to analyzing data, the images were represented into five elements of AOI(area of interest). The fixation rate was divided by a period such as 'fixation time' and 'fixation count' parameters. The results were additionally obtained by linking analysis with the area ratio of AOI, time series analysis, and questionnaire. First of all, both building signs and advertisement standing boards draws attentions in participants. From a comparison between fixation rate and survey, the data have negative perspective view. Second, the advertisement standing boards are more eye-catching than other elements regardless of AOI size. It shows the priority of elements what should be developed in the environment. Third, the pavement is rarely seen in the fixation rate. Fourth, the trees are not a long frequency but viewed as a positive element. People want to keep the natural site in the street. In summative research, this method of extracting eye movement data would be provided a foundation data for developing streetscape plan based on scientific factors.