• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.11a
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• pp.116-117
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• 2013

The various photo data has a lot of information that had produce by the process of construction project lifecycle. Therefore construction site images is very important for effective management of the photograph information to transmit of accurate object information included in photography data. So the purpose of the study is to make application direction of intelligent image information that had image information in tandem with information of 5W1H for effective management of sites image in construction and maintenance phase.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.209-217
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• 2020

The background of the research is the following. With the prosperity of drone industry, the government has been actively promoting measures to nominate 'drone photographing free areas'. However, existing laws, and procedures are rather unclear with related environmental factors in discordance with one another. Hence, voices in need for establishing a clear precondition for nominating drone photography free area have been rising. The purpose of the research is to provide measures for the preconditions to establish photography free areas for convenient drone photographing. The research utilizes literary methods, conducting focus group interviews to coordinate with specialists who can participate and discuss so that they can provide improvement measures. The research renders improvement measures in different sectors including 2x items in aviation security law, 8x items in free area nomination and procedure, 4x items in infrastructure establishment and information management area. The expected effects are the following: by attaching drone photography with aviation security law, nominating photography free area can be linked up with the Ministry of Land Infrastructure and Technology. Secondly, by enlarging photography restricted area to upper mid-air, a three dimensional drone security will be possible. Thirdly, by providing a 'Yongin area standard model', free area nomination will become more easy. Future research will focus on enhancing aviation security law regarding drone photographing. In addition, the promotion to nominate free areas for 33x responsible areas in accordance with the National Intelligence service will be required.

• Journal of Families and Better Life
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• v.25 no.2 s.86
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• pp.71-87
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• 2007

It is necessary to understand a self-expression and communication in cyberspace using digital photography We have studied the digital camera consumer's self-expression and communication skills and strategy through ethnographic interviews. In this study, we have used ethnographic interviews of 7 informants who had personal web site and are using digital cameras. As a result, It has turned out that informants expressed their self taking pictures of their daily life, friends, and family. Also they imply meaning and feeling in the pictures that had been taken to express their lives. The communication in cyberspace has turned out that informants communicate with other people with digital pictures to show their life. They communicated each other and give information. It means that they made information by themselves to give and share with other people as prosumer. Digital photography to express themselves and communicate in cyberspace enhanced human relationship that had made in cyber space. And it helps to form their self identity. They express their cyber identity with digital photography and it is similar to their self identity that expresses in real life.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.295-302
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• 2014

Essential to the establishment of such 3D spatial information are the laser scanning technology to obtain high-precision 3D point group data and the photography-metric camera to obtain high-resolution multispectral image information. The photography-metric camera, however, lacks in usability for its broad scope of utilization due to the high purchase price, difficult purchase channel, and low applicability. This study thus set out to investigate a technique to establish multi-dimensional ortho-image data with a single lens reflex digital camera of high speed and easy accessibility for general users. That is, the study remodeled a single lens reflex digital camera and calibrated the remodeled camera to establish 3D multispectral image information, which is the essential data of 3D spatial information. Multi-dimensional ortho-image data were collected by surveying the reference points for stereo photos, taking multispectral shots of the objects, and converting them into ortho-images.

• Journal of Korean Society of Archives and Records Management
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• v.9 no.2
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• pp.79-102
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• 2009

Photography has been used as a typical tool of recording image since its invention in the nineteenth century. Photographs provide valuable visual information about all parts of society, and a systematic management must be preceded to use these information. The management and preservation system of photographs should reflect the characteristics of photographic medium. It is necessary for many archives to perform appraisal first to collect and manage enormous photographs. Appraisal is the process of determining meaning and value of records, and the reasonable criteria should be needed to carry it out. The purpose of this study is to suggest appraisal criteria for photographic records based on the archival appraisal theories and the characteristics of photography. This study draws on traditional appraisal theories and some literatures for archival management of photographs. This study is organized as follows. The first section examines the concept and values of photographic records and the distinctiveness of appraising photographs. The second section analyzes the existing appraisal criteria for individual records. The third section designs appraisal classes of photographic records and proposes the criteria for each classes.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.3
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• pp.91-102
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• 2012

As the basis of the environmental ecological river management, this research developed a method of habitat classification using imagery information to understand a distribution characteristics of fish living in a natural river. First, topographic survey and investigation of discharge and water temperature were carried out to analyze hydraulic characteristics of fish habitat, and the unmanned aerial photography was applied to acquire river imagery at the observation time. Riffle, pool, and glide regions were selected as river habitat to analyze fish distribution characteristics. Analysis showed that the standard deviation of RGB on the riffle is higher than pool and glide because of fast stream flow. From the classification accuracy estimation on riffle region according to resolution and kernel size using the characteristics of standard deviation of RGB, the highest classification accuracy was 77.17% for resolution with 30cm and kernel size with 11. As the result of water temperature observation on pool and glide using infrared camera, they were $19.6{\sim}21.3^{\circ}C$ and $15.5{\sim}16.5^{\circ}C$ respectively with the differences of $4{\sim}5^{\circ}C$. Therefore it is possible to classify pool and glide region using the infrared photography information. The habitat classification to figure out fish distribution can be carried out more efficiently, if unmanned aerial photography system with RGB and infrared band is applied.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.317-320
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• 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 Society for Geospatial Information Science
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• v.13 no.3 s.33
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• pp.3-13
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• 2005

This study aims to establish the quality management method for spatial data construction process. Total 17 regulations related to spatial database construction and major aerial survey firms were analyzed in terms of working process, equipments, accuracy of results. It is standardized the process of making new digital maps using aerial photography, revising existing digital maps, producing digital elevation models and developing imagery maps. Quality checking factors for spatial data construction process are also established.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.4
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• pp.69-77
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• 2018

The malignant melanoma accounts for about 1 to 3% of the total malignant tumor in the West, especially in the US, it is a disease that causes more than 9,000 deaths each year. Generally, skin lesions are difficult to detect the features through photography. In this paper, we propose a computer-aided diagnosis algorithm based on deep learning for classification of malignant melanoma and benign skin tumor in RGB channel skin images. The proposed deep learning model configures the tumor lesion segmentation model and a classification model of malignant melanoma. First, U-Net was used to segment a skin lesion area in the dermoscopic image. We could implement algorithms to classify malignant melanoma and benign tumor using skin lesion image and results of expert's labeling in ResNet. The U-Net model obtained a dice similarity coefficient of 83.45% compared with results of expert's labeling. The classification accuracy of malignant melanoma obtained the 83.06%. As the result, it is expected that the proposed artificial intelligence algorithm will utilize as a computer-aided diagnosis algorithm and help to detect malignant melanoma at an early stage.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.62-65
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• 2022

Diabetes is a major social problem in which the incidence and prevalence of diabetes increase every year around the world. Diabetes, characterized by high blood sugar, which increases the concentration of glucose in the blood, causes various symptoms and signs. As a result, patients should strengthen self-management in their daily lives. However, the biggest factor that patients fail in managing blood sugar is diet failure. Therefore, in this paper, an application was designed and implemented to input a diet through photography or image upload and analyze users' diets through intake indicators and blood sugar statistics.