• Journal of Korean Society for Geospatial Information Science
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• v.2 no.2 s.4
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• pp.131-142
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• 1994

Generally, there are two methods which generates the base map of Geo-Spatial Information System(GSIS). one is the digitizing of existing map, and the other is the analytical plotting method editing data acquired by sensors using computers. But the analytical plotting method and method of the digitizing of existing map is technically complex and has the disadvantages in the costs and time. The subject region of study(the Kwangyang province), was photographed by aircraft, and photographing scale was 1/6,000. Then this area was divided into two specific regions, the residential area, and the agricultural area. In this study, we developed the algorithm that generated base map of database in GSIS from the aerial photo. This algorithm is as followed. First, the digital aerial photos were generated using these aerial photos. Second, these digital aerial photos were enhanced by implementing the histogram equalization. Third, the objects of the enhanced images were extracted by implementing thresholding and edged detection techiques of image segmentation. Finally, these images could be used to updated the base map of database in GSIS. The result obtained from this study showed that method used by this study were more efficient than existing method in costs and time.

• The Journal of Korean Association of Computer Education
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• v.16 no.1
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• pp.97-110
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• 2013

The purpose of this study is to analyze the needs of teachers as main users to make suggestions for active use of educational information sharing system. The study sets three research tasks about the problems of the current system, improvements, and desired content from the perspective of teachers. To collect specific opinions, we conducted an open questionnaire survey and made a qualitative analysis using the NVivo 10 program. The present system has such problems as functional issues, lack of data reliability, systemic problems for sharing and use. We suggest that in order to enhance Web site services, authoring tools for editing contents and new search engines with customized search function need to be provided. In addition, the open market service system has to be established, so that teachers can actively create, share, and distribute to meet the various needs of teachers. Finally, to promote free access to the system, copyright issues need to be resolved to prevent the potential digital piracy.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.823-833
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• 2012

Workplace learning is actually vastly underutilized as of yet even though it is necessary preparation course for the skilled broadcasting people. This paper pays attentions to the workplace learning that carried out by the college students as a class activity to find the way to get a desirable result for the job training. Data obtained from the focus group discussion comprised of 14 college students majoring broadcasting. Based on the results of the discussion, it finds that students faced detailed broadcasting environments let them adjust to and realize the position and role of contents providers who are struggling to survive competitive period. The students experienced informal learning reached to the tacit knowledge - including interview skill, camera and editing details, news framing, and interpersonal relationships - through a various routes such as mistakes, feedbacks, competitions and imitations while they practiced in the workplace. From these findings, this paper can conclude that the lecturers who are leading job training courses need to be concerned and utilize workplace learning actively.

• The Journal of Korean Association of Computer Education
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• v.8 no.4
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• pp.57-69
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• 2005

In this study we try to design and develop a mixed model of project-based learning with internet. In order to support the developed model, we separately developed a web-based tool, called Project Learning BBS. The classroom teaching for advertisement-photo production with the model has been carried out during May-July in 2002 and March-July in 2003 respectively with 40 students each. The overall activities of group collaborative work done during the teaching periods have been formatively evaluated with classroom observation, interviews and students' portfolios that were related to the processes of photo planning, video shooting and editing. It has also investigated how the students involved the web-based group discussion activities. In short, data analysis indicated that the participants accepted the proposed project-based learning model for their learning events in a positive way in order to increase the utilization of CMC.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.14-14
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• 2017

The discipline of plant breeding is experiencing a renaissance impacting crop improvement as a result of new technologies, however fundamental questions remain for predicting the phenotype and how the environment and genetics shape it. Inexpensive DNA sequencing, genotyping, new statistical methods, high throughput phenotyping and gene-editing are revolutionizing breeding methods and strategies for improving both quantitative and qualitative traits. Genomic selection (GS) models use genome-wide markers to predict performance for both phenotyped and non-phenotyped individuals. Aerial and ground imaging systems generate data on correlated traits such as canopy temperature and normalized difference vegetative index that can be combined with genotypes in multivariate models to further increase prediction accuracy and reduce the cost of advanced trials with limited replication in time and space. Design of a GS training population is crucial to the accuracy of prediction models and can be affected by many factors including population structure and composition. Prediction models can incorporate performance over multiple environments and assess GxE effects to identify a highly predictive subset of environments. We have developed a methodology for analyzing unbalanced datasets using genome-wide marker effects to group environments and identify outlier environments. Environmental covariates can be identified using a crop model and used in a GS model to predict GxE in unobserved environments and to predict performance in climate change scenarios. These new tools and knowledge challenge the plant breeder to ask the right questions and choose the tools that are appropriate for their crop and target traits. Contemporary plant breeding requires teams of people with expertise in genetics, phenotyping and statistics to improve efficiency and increase prediction accuracy in terms of genotypes, experimental design and environment sampling.

• Journal of Fashion Business
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• v.24 no.1
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• pp.75-87
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• 2020

The purpose of this study is to find trends in new media fashion content by analyzing the fashion content of the official Instagram accounts of domestic fashion magazines that are being transformed by digital media. The framework for these analysis of fashion content type and methods of production is based on one used in an earlier research project. Empirical analysis is conducted on Vogue Korea's official Instagram accounts, using the highest number of major views as the secondary measure of interest. After screening for fashion content in posts on the Vogue Korea account for four months, 291 short video postings were extracted to analyze the number of views the postings received. The results were categorized as 'star', 'show/exhibition', 'product', 'shop', 'fashion film', 'designer', or 'event', included in the data are the number of postings by type and the number of views by post. Based on the characteristics of the creator and the editing, the posts were classified into 'professional production highlight', 'professional production private', 'UCC' or 'GIF' videos, the number of views per post were also collected. The research results show different levels of interest depending on the type of fashion content, and also on the way the videos were produced. The study also investigated how the combination of these two factors affects interest. When producing a new media fashion content, combining a 'star' type post with 'professional production private' video content was most popular. The selection of production method is therefore important even given the same type of content.

• Journal of KIISE
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• v.45 no.3
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• pp.311-320
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• 2018

Recently, the use of digital audio and video as proof in criminal and all kinds of litigation is increasing, and scientific investigation using digital forensic technique is developing. With the development of computing and file editing technologies, anyone can simply manipulate video files, and the number of cases of manipulating digital data is increasing. As a result, the integrity of the evidence and the reliability of the evidence Is required. In this paper, we propose a technique for extracting the Electrical Network Frequency (ENF) through a grid of power grids according to the geographical environment for power supply, and then performing signal processing for peak detection using QIFFT. Through the detection algorithm using the standard deviation, it was confirmed that the video file was falsified with 73% accuracy and the forgery point was found.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.2 s.32
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• pp.21-28
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• 2005

Local government has constructed GIS DB for efficient business achievement and effective management of complex city facilities and has been developing and utilizing application systems, such as Underground Facility Management System Road Management System and so on. However, Facility Management System is providing functions for business, but not for GIS DB's maintenance. City facilities GIS DB managed by GIS technical expert collects basic figure and attribute information through survey and field investigation and is constructed via complex process, such as structurize editing etc. So it has been concerned that the update and confidence of CIS DB can be lower if a business man who does not have enough experiences about Facility Management System operates it by himself. Therefore, functions that enable business users to operate Facility Management System easily should be provided.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.6
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• pp.559-568
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• 2016

For the economic management of photovoltaic power plants, it is necessary to regularly monitor the panels within the plants to detect malfunctions. Thermal infrared image cameras are generally used for monitoring, since malfunctioning panels emit higher temperatures compared to those that are functioning. Recently, technologies that observe photovoltaic arrays by mounting thermal infrared cameras on UAVs (Unmanned Aerial Vehicle) are being developed for the efficient monitoring of large-scale photovoltaic power plants. However, the technologies developed until now have had the shortcomings of having to analyze the images manually to detect malfunctioning panels, which is time-consuming. In this paper, we propose an automatic photovoltaic panel area extraction algorithm for thermal infrared images acquired via a UAV. In the thermal infrared images, panel boundaries are presented as obvious linear features, and the panels are regularly arranged. Therefore, we exaggerate the linear features with a vertical and horizontal filtering algorithm, and apply a modified hierarchical histogram clustering method to extract candidates of panel boundaries. Among the candidates, initial panel areas are extracted by exclusion editing with the results of the photovoltaic array area detection. In this step, thresholding and image morphological algorithms are applied. Finally, panel areas are refined with the geometry of the surrounding panels. The accuracy of the results is evaluated quantitatively by manually digitized data, and a mean completeness of 95.0%, a mean correctness of 96.9%, and mean quality of 92.1 percent are obtained with the proposed algorithm.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.4
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• pp.391-399
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• 2020

Autonomous driving can be limited by only using sensors if the sensor is blocked by sudden changes in surrounding environments or large features such as heavy vehicles. In order to overcome the limitations, the precise road-map has been used additionally. In korea, the NGII (National Geographic Information Institute) produces and supplies high definition map for autonomous vehicles. Accordingly, in this study, errors occurring in the process of e data editing and dtructured esditing of high definition map are systematically typed providing by the National Geographic Information Institute. In addition, by presenting the error search process and solution for each situation, we conducted a study to quickly correct errors in high definition map, and largely classify the error items for shape integrity, spatial relationship, and reference relationship, and examine them in detail. The method was derived.