Forest destruction is an inevitable result of the development processes. According to the environmental impact assessment, over 10% of the destroyed trees need to be recycled and transplanted to minimize the impact of forest destruction. However, the rate of successful transplantation is low, leading to a high rate of tree death. This is attributable to a lack of consideration for environmental factors when choosing a temporary site for transplantation and inadequate management. To monitor transplanted trees, a field survey is essential; however, the spatio-temporal aspect is limited. This study evaluated the applicability of remote sensing for the effective monitoring of transplanted trees. Vegetation indices based on satellite remote sensing were derived to detect time-series changes in the status of the transplanted trees at three temporary transplantation sites. The mortality rate and vitality of transplanted trees before and after the transplant have a similar tendency to the changes in the vegetation indicators. The findings of this study showed that vegetation indices increased after transplantation of trees and decreased as the death rate increased and vitality decreased over time. This study presents a method for assessing newly transplanted trees using satellite images. The approach of utilizing satellite photos and the vegetation index is expected to detect changes in trees that have been transplanted across the country and help to manage tree transplantation for the environmental impact assessment.

공간 해상도 1m 이하의 고해상도 원격 탐사 영상의 민간 활용이 활발해 짐에 따라, 이를 위한 전문 분야 별 영상 분석 방법의 개발 요구가 증가하고 있다. 다양한 영상분석 기법 중에, 주변 화소들간의 공간 분포 관계에 의해 특성이 결정되는 텍스처 영상의 분석은 이러한 목적을 위한 유용한 영상 분석 방법 중 하나이다. 이 연구에서는 원시 영상으로부터 GLCM 알고리즘에 의해 생성된 텍스처 영상에 대해서 방향 인자, 마스킹 커널의 크기, 변수의 종류에 따른 결과를 비교, 분석한 뒤 각각의 결과 영상의 지형공간 특성 분석의 적용성에 대하여 알아보았다. 또한 원시 영상과 텍스처 영상에서 특성 정보를 포함하는 템플레이트를 설정하고 이를 기준으로 반복적인 패턴을 자동으로 검색하는 템플레이트 정합 프로그램을 구현하여 이를 원시 영상과 텍스처 영상에 적용하였고, 처리 결과에 기초하여 향후 적용 가능성을 검토하였다. 이 연구의 결과는 일정한 패턴으로 나타나는 지구과학적인 지형 특성이나 고해상도 위성영상 정보를 이용한 인공 지형지물의 파악 및 분석에 효과적으로 적용될 수 있을 것으로 예상된다.

Automated manufacturing systems are applied to shop floors as tools for increase of productivity and quality and the decrease of manufacturing lead times and industry accidents. One of the most important issue of the present day is the application of Internet. The development of Internet technologies makes manufacturing enterprises break spacial barriers between users and shop floors, and collect various field data in remote sites. In this research, an Internet-based remote control system for a small-sized automated storage and retrieval system is developed for the purpose of real-time monitoring and control of automatic production equipment. The developed system has a client-server architecture and sends real-time images of the automated storage and retrieval system to clients by an CCD camera connected to a server.

In this paper, we introduce a robot-assisted medical diagnostic system that enables remote ultrasound (US) imaging to be applied to the conventional telemedicine, which has been possible only with interviewing or a visual exam. In particular, a master-slave robot system is developed that ultrasonic diagnosis specialist can control the position and orientation of US probe in the remote place. The slave robot is designed to be compact, lightweight, and hand-held so that it can easily transfer to the remote healthcare center. Moreover, 6-degree-of-freedom (DOF) probe motion is possible by the robot design based on Stewart platform. The master device is also based on a similar structure of the slave robot. To connect master and slave system in the wide area network (WAN) environment, a hardware CODEC was developed. In this paper, we introduce the detail of each component and the results of the recent experiments conducted in the remote sites by the developed robotic ultrasound imaging system.

본 논문에서는 원격탐사자료를 이용하여 하천의 하폭-유량 관계식을 도출하는 방법을 제안하였다. 고해상도 원격영상 으로부터 하천의 여러 단면에 대해 수면 폭을 측정하였다. 각 단면 지점에 해당하는 유역면적은 수치고도모형으로부터 계산하여하폭-유역면적 관계식을구하였다. 한편, 지상관측소의 유량자료를이용하여측정된 유량과관측소 별유역면적 사이의 관계식을 구하고, 이렇게 얻어진 두 개의 관계식을 짝지어 수리기하 관계식 중 하나인 하폭-유량 관계식을 도출하 였다. 본 방법의 타당성을 확인하고자 낙동강과 섬진강을 대상으로 하폭-유량 관계식의 지수 값을 살펴보았다. 그 결과, 지상관측자료의 회귀식에서 얻은 하폭과 유량사이의관계식과비교하여, 비슷한범위의 지수 값이 계산되었다. 본 연구의 접근법은 실측자료에 의존했던 전통적인 수리기하 분석 방법을 탈피하여 현장 자료의 한계를 극복할 수 있는 대안이라고 할 수 있다.

This study evaluates thermal movements of an existing bridge using digital image processing technologies. Digital images are acquired from smart phones. Thermal movements which extracted from bridge bearings' images are compared to the results of conventional displacement transducers. It is concluded that the image-based process for measuring thermal movements of bridges is accurate, practical and cost-effective.

In this study, a noncontact nondestructive testing (NDT) method is proposed to detect the fatigue crack and to identify the location of the damage. To achieve this goal, Lamb wave propagation of a plate-like structure is analyzed, which is induced by scanning laser source actuation system. The Lamb wave propagation is visualized and then damage is detected by wavenumber filtering method based on 3D FFT. Steel plates with fatigue cracks are investigated to verify the effectiveness and the robustness of the proposed NDT approach