• 대한공간정보학회지
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• 제12권2호
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• pp.53-59
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• 2004

본 연구에서는 고해상도 위성영상의 분류에 적합한 형상 기반 분류 소프트웨어를 개발하기 위한 연구를 수행하였다. 형상 기반 분류에 필요한 영상분할과 퍼지 기반의 분류 알고리즘을 개발하고, 형상 기반 분류에 요구되는 다양한 요소들을 고려하여 사용자와의 원활한 상호작용을 지원하기 위한 사용자 인터페이스를 구현하였다. 개발된 소프트웨어의 성능을 평가하고자 본 연구에서 개발된 소프트웨어와 현재 전 세계적으로 널리 보급되고 있는 형상 기반 분류 관련 상용 소프트웨어인 eCognition을 적용하여 동일한 영상을 시험적으로 처리해 본 결과 유사한 영상 분류결과를 얻을 수 있었다. 영상분할의 경우에는 본 연구에서 개발한 소프트웨어의 처리속도가 우수하였다. 형상 기반 분류를 수행하는 데에는 프로그램과 사용자간의 고도의 상호작용이 요구되므로, 향후에 이를 편리하게 하기 위한 사용자 인터페이스의 보완이 필요하다는 것을 알 수 있었다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1111-1113
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• 2003

In this paper, we investigated a method for feature - based classification to develop software which is suitable to the classification of high resolution satellite imagery . So, we developed related algorithm and designed user interfaces of convenience, considering various elements require for the feature - based classification. The software was tested with eCognition software which is unique commercial software for feature - based classification.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.125-127
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• 2004

High-resolution satellite images offer abundance information of the earth surface for remote sensing applications. The information includes geometry, texture and attribute characteristic. The pixel-based image classification can't satisfy high-resolution satellite image's classification precision and produce large data redundancy. Object-oriented information extraction not only depends on spectrum character, but also use geometry and structure information. It can provide an accessible and truly revolutionary approach. Using Beijing Spot 5 high-resolution image and object-oriented classification with the eCognition software, we accomplish the cultures' precise classification. The test areas have five culture types including water, vegetation, road, building and bare lands. We use nearest neighbor classification and appraise the overall classification accuracy. The average of five species reaches 0.90. All of maximum is 1. The standard deviation is less than 0.11. The overall accuracy can reach $95.47\%.$ This method offers a new technology for high-resolution satellite images' available applications in remote sensing culture classification.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 춘계학술대회 논문집
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• pp.113-119
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• 2007

This article deals mainly with two objectives viz, 1) the potentiality of very high-resolution(VHR) multi-spectral and pan chromatic QuickBird satellite data in resources mapping over moderate resolution satellite data (IRS LISS III) and 2) the advantages of using object oriented classification method of eCognition software in land use and land cover analysis over the ISODATA classification method. These VHR data offers widely acceptable metric characteristics for cartographic updating and increase our ability to map land use in geometric detail and improve accuracy of local scale investigations. This study has been carried out in the Sukkalampatti mini-watershed, which is situated in the Eastern Ghats of Tamil Nadu, India. The eCognition object oriented classification method succeeded in most cases to achieve a high percentage of right land cover class assignment and it showed better results than the ISODATA pixel based one, as far as the discrimination of land cover classes and boundary depiction is concerned.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.709-711
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• 2003

The purpose of this study is to detect the damaged red pine trees by pine wilt disease using high resolution satellite image of IKONOS Geo. IKONOS images are segmented with eCognition image processing software. A segment based maximum likelihood classification was performed to delineate the pine stand. The pine stands are regarded as a potential damage area. In order to develop a methodology to detect the location of damaged trees from the high resolution satellite image, black and white aerial photographs were used as a simulated image. The developed method based on filtering technique. A local maximum filter was adapted to detect the location of individual tree. This report presents a part of the first year results of an ongoing project.

• 컴퓨터교육학회논문지
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• 제20권4호
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• pp.47-57
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• 2017

본 연구는 중학생을 대상으로 컴퓨팅 사고력 기반의 창의적 문제해결(이하 CT-CPS) 수업모형을 통해 설계한 소프트웨어 수업을 적용하여, 인지적, 정의적 영역에서의 효과성을 분석하기 위하여 수행하였다. 이러한 연구의 목적을 달성하기 위해 본 연구자는 이론적 배경 탐색을 통해 인지적 정의적 활동을 수행할 수 있도록 CT-CPS 수업모형 기반의 소프트웨어 수업을 설계하였다. 이후 이를 중학교 소프트웨어 수업에 적용하고, 수업의 전, 후에 3가지 검사를 실시하였다. 연구 결과 3가지 검사의 인지적, 정의적 영역에 해당하는 대부분의 요소에서 통계적으로 유의한 향상이 관찰되었고, 중학생의 소프트웨어 수업에서 CT-CPS 수업모형의 인지적, 정의적 영역에서의 효과성 검증과 시사점을 논할 수 있었다.

• Journal of Ecology and Environment
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• 제41권4호
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• pp.114-119
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• 2017

This study tried to analyze error range and resolution of drone images using a rotary wing by comparing them with field measurement results and to analyze stands patterns in actual vegetation map preparation by comparing drone images with aerial images provided by National Geographic Information Institute of Korea. A total of 11 ground control points (GCPs) were selected in the area, and coordinates of the points were identified. In the analysis of aerial images taken by a drone, error per pixel was analyzed to be 0.284 cm. Also, digital elevation model (DEM), digital surface model (DSM), and orthomosaic image were abstracted. When drone images were comparatively analyzed with coordinates of ground control points (GCPs), root mean square error (RMSE) was analyzed as 2.36, 1.37, and 5.15 m in the direction of X, Y, and Z. Because of this error, there were some differences in locations between images edited after field measurement and images edited without field measurement. Also, drone images taken in the stream and the forest and 51 and 25 cm resolution aerial images provided by the National Geographic Information Institute of Korea were compared to identify stands patterns. To have a standard to classify polygons according to each aerial image, image analysis software (eCognition) was used. As a result, it was analyzed that drone images made more precise polygons than 51 and 25 cm resolution images provided by the National Geographic Information Institute of Korea. Therefore, if we utilize drones appropriately according to characteristics of subject, we can have advantages in vegetation change survey and general monitoring survey as it can acquire detailed information and can take images continuously.

• 경영정보학연구
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• 제21권3호
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• pp.87-110
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• 2019

핀테크 서비스는 유무선 통신 환경에서 다양한 디바이스를 연결해 금융서비스 이용자들에게 혁신을 제공해 주었다. 본 연구에서는 고전적 태도이론을 이용해 핀테크 서비스 이용자의 심리를 설명하였다. 이 이론적 프레임워크에 기반해, 본 연구에서는 핀테크 서비스 이용자들이 인지하는 혁신성과 상대적 장점이 인지적 반응(인지된 유용성과 이용 용이성)과 감정적 반응(태도)에 미치는 영향관계를 분석하였고, 그리고 태도가 행동 반응(실질이용)에 미치는 영향 관계에 대한 분석하였다. 본 연구에서는 핀테크 서비스 이용 경험 있는 사람들을 대상으로 온라인 설문조사를 수행하였다. 그리고, 수집된 핀테크 서비스 이용자의 데이터를 구조방정식 소프트웨어인 SMART PLS 2.0 M3를 이용해 구조모델을 분석하였다. 실증분석 결과를 살펴보면, 핀테크 서비스 이용자의 혁신성, 상대적 장점, 유용성, 이용 용이성, 태도, 실질이용 사이에는 유의한 인과관계가 존재하는 것으로 나타났다. 이러한 연구결과는 사물인터넷 환경에서 핀테크 서비스 이용자들의 실질이용 증진을 위한 유용한 정보를 제공해 줄 것이다.

• 전자통신동향분석
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• 제33권6호
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• pp.58-68
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• 2018

A neuromorphic hardware that mimics biological perceptions and has a path toward human-level artificial intelligence (AI) was developed. In contrast with software-based AI using a conventional Von Neumann computer architecture, neuromorphic hardware-based AI has a power-efficient operation with simultaneous memorization and calculation, which is the operation method of the human brain. For an ideal neuromorphic device similar to the human brain, many technical huddles should be overcome; for example, new materials and structures for the synapses and neurons, an ultra-high density integration process, and neuromorphic modeling should be developed, and a better biological understanding of learning, memory, and cognition of the brain should be achieved. In this paper, studies attempting to overcome the limitations of next-generation neuromorphic hardware technologies are reviewed.

• Asia pacific journal of information systems
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• 제10권2호
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• pp.71-95
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• 2000

Despite repeated exhortation about the importance of social and human dimensions of systems development, socio-organizational issues continue to be neglected and ignored in the current information systems practice. A review of the human information processing literature suggests that the reasons for this continuing lack of attention to social issues may be found in the limitations of human cognition and information processing capacities. Bostrom and Heinen(1978) and Kumar and Bjorn-Anderson(1990) also suggest that the inadequate attention to social problems and issues by the analyst could originate from the analysts limited problem perception. This research explores how the representation forms of information systems(IS) methodology used in understanding and modeling the problem situation affect such systems development problem perception. Typically, a system development methodology prescribes the use of system models(i.e., system representations) to understand, analyze, evaluate, and design the information system. Given the size and complexity of information systems, and the abstraction and simplification underlying the modeling process, system representations usually depict only a limited set of aspects of the system. Thus, a methodology whose representations are limited to technical aspects will tend to limit the analyst's perspective to a technical one only(Kumar & Welke, 1990). Following the same line of argument, in contrast, it is the conjecture of this study that a methodology which specifies both social and technical aspects of IS development will help the analyst develop a more comprehensive view of the IS problem domain. Based on the above concept, a theoretical model was first developed which explained the systems analysts cognitive process. Drawing on this model, a research model was developed hypothesizing the impacts of representation forms on problem identification. The model was tested using a laboratory experiment with 70 individual subjects. A special computer software was developed with a hypermedia authoring tool to conduct the experiments in order to avoid experimenter biases and to maintain consistency in administrating repeated experiments. The program, designed to replace the experimenter, consisted of functions such as presenting the subjects with problem material, asking the subjects questions, and saving the typed answers of the subjects. The results indicate that representation forms strongly influence problem identification. It was found that the use of the socio-technical representation form led to the findings of more social problems than the use of technical representation form. The results imply significant effects of representation forms on problem findings and also suggest that the use of adequate representation forms may help overcome dysfunctional effects of our limited information processing capacity.