• Journal of the Korean Geographical Society
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• v.35 no.5
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• pp.745-754
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• 2000

Both Geographic Information System and Remote Sensing fields have been nearly neglected or ignored by historical geographers.This paper intends to show the potentiality of satellite images of various spatial reslutions to explore and to express themes of historical geography. Old Chinese maps and atlas were also used to relate the digital values and historical facfors. Advanced Very High Resolution Radiometer data might be used as a real image for a contintal scale to show changes in coastal shoreline. Landsat Thematic Mapper Imagery of Beijing showed some of boundaries of old palace. Finally IKONOS images of one meter resolution showed detailed information of landcover and landuse of the City, Beijing. The potential capability and limitation to apply satellite imagery in application of historical geography are also discussed.

• Economic and Environmental Geology
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• v.37 no.4
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• pp.425-436
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• 2004

The purpose of this study is to analyze the spatial relationship between the landslides occurred by typhoon, Rusa in 2002 and geospatial dataset. Landslide locations were detected using satellite image and field survey. Topogra-phy, soil, forest, geology and land use data sets were constructed as a spatial database in GIS. From the database, slope, aspect, curvature, water system, type of topography, texture, material, drainage, effective thickness of soil, type, age, diameter, density of wood, lithology, lineament of geology, land use and lineament were used as the land-slide occurrence factors. Using a frequence ratio model, the spatial relationships between the landslides and the factors were extracted. The spatial relationships is helpful to explain the characteristics of the landslide, and to make landslide susceptibility map.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2005.05a
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• pp.125-129
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• 2005

디지털 영상물에 대한 저작권을 보호하기 위해 저작권자의 고유한 영상을 기존 디지털 영상에 삽입하는 것을 워터 마킹이라고 부른다. 삽입된 워터 마크가 효과적으로 사용되기 위해서는 영상의 다양한 왜곡이나 변형에도 강건할 수 있게 그 강도가 강해야 하며, 동시에 워터 마크가 삽입된 영상의 왜곡을 식별할 수 없게 그 강도를 약하게 하여야 한다. 비가시성을 유지한 채 가능한 한 강한 워터마크를 삽입하는 것은 워터마크를 적용 하는 데 매우 중요한 문제이다. 대부분의 워터 마크 알고리듬에서 삽입될 워터 마크의 강도는 원영상과 워터마크 영상간의 물리적인 차이에 근거하여 계산된 특정 값으로 고정한 채, 이 값을 모든 영상에 동일하게 적용하고 있다. 인간의 경우 자극의 탐지는 주변 영상의 밝기나 대비 등 여러 요소에 의해 변화되므로 디지털 영상에 삽입된 워터 마크의 탐지도 영상의 특징에 따라서 변화될 수 있다. 본 연구에서는 원영상으로부터 세 수준의 밝기와 세 수준의 대비를 갖는 기본 영상들을 만든 후, 기본 영상에서 탐지될 수 있는 워터 마크의 강도가 변화되는 지를 살펴보았다. 연구 결과 영상의 밝기가 밝아질수록, 대비가 커질수록 지각될 수 있는 워터 마크의 강도는 더 커지는 것으로 나타났다. 또한 회귀분석을 통해 영상의 밝기와 대비에 근거하여 삽입될 워터 마크의 강도를 결정할 수 있는 회귀 식을 만들어 내었다. 이러한 회귀 식은 주어진 영상의 통계 치에 근거하여 워터 마크 강도를 적응적으로 변화시킬 수 있는 알고리듬을 개발하는 데 유용하게 사용될 수 있을 것이다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.6
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• pp.1283-1288
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• 2011

In this paper we collect data concerning sleep environments in a bedroom and analyze the relationship between the collected condition data and sleep. In addition, this paper detects scene changes from the subjects in a sleeping state and presents the physical conditions, reactions during sleep, and physical sensations and stimuli. To detect scene changes in image sequences, we used color histogram for the difference between the preceding frame and the current frame. In addition, to extract the tossing and turning for different situations, the subjects were instructed to enter the level of fatigue, the level of drinking, and the level of stomach emptiness. For the sleep experiment system, we used the H-MOTE2420 Sensor composed of temperature, humidity, and light sensors. This paper is intended to provide the best sleep environment that enhances sleep quality, thus inducing people today to get regular and comfortable sleep.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.1
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• pp.161-166
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• 2014

Lung cancer is the most common causes of cancer-related deaths worldwide, and a lack of effective methods for early diagnosis has greatly impacted the prognosis and survival rates of the affected patients. Tumor-initiating cells (TICs) are considered to be largely responsible for tumor genesis, resistance to tumor therapy, metastasis, and recurrence. In addition to representing a good potential treatment target, TICs can provide clues for the early diagnosis of cancer. MicroRNA (miRNA) alterations are known to be involved in the initiation and progression of human cancer, and the detection of related miRNAs in TICs is an important strategy for lung cancer early diagnosis. As Hsa-miR-155 (miR-155) can be used as a diagnostic marker for non-small cell lung cancer (NSCLC), a smart molecular beacon of miR-155 was designed to image the expression of miR-155 in NSCLC cases. TICs expressing CD133 and CD338 were obtained from A549 cells by applying an immune magnetic bead isolation system, and miR-155 was detected using laser-scanning confocal microscopy. We found that intracellular miR-155 could be successfully detected using smart miR-155 molecular beacons. Expression was higher in TICs than in A549 cells, indicating that miR-155 may play an important role in regulating bio-behavior of TICs. As a non-invasive approach, molecular beacons could be implemented with molecular imaging to diagnose lung cancer at early stages.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.101-106
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• 2017

In this paper, we present Emergency exit signs are installed to provide escape routes or ways in buildings like shopping malls, hospitals, industry, and government complex, etc. and various other places for safety purpose to aid people to escape easily during emergency situations. In case of an emergency situation like smoke, fire, bad lightings and crowded stamped condition at emergency situations, it's difficult for people to recognize the emergency exit signs and emergency doors to exit from the emergency building areas. This paper propose an automatic emergency exit sing recognition to find exit direction using a smart device. The proposed approach aims to develop an computer vision based smart phone application to detect emergency exit signs using the smart device camera and guide the direction to escape in the visible and audible output format. In this research, a CAMShift object tracking approach is used to detect the emergency exit sign and the direction information extracted using template matching method. The direction information of the exit sign is stored in a text format and then using text-to-speech the text synthesized to audible acoustic signal. The synthesized acoustic signal render on smart device speaker as an escape guide information to the user. This research result is analyzed and concluded from the views of visual elements selecting, EXIT appearance design and EXIT's placement in the building, which is very valuable and can be commonly referred in wayfinder system.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.40-50
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• 2007

In this paper, we propose an efficient method for detecting and tracking multiple moving objects based on morphological region merging from real-time video sequences. The proposed approach consists of adaptive threshold extraction, morphological region merging and detecting and tracking of objects. Firstly, input frame is separated into moving regions and static regions using the difference of images between two consecutive frames. Secondly, objects are segmented with a reference background image and adaptive threshold values, then, the segmentation result is refined by morphological region merge algorithm. Lastly, each object segmented in a previous step is assigned a consistent identification over time, based on its spatio-temporal information. The experimental results show that a proposed method is efficient and useful in terms of real-time multiple objects detecting and tracking.

• Journal of Korea Multimedia Society
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• v.15 no.6
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• pp.711-721
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• 2012

The objective of this study is to propose an efficient 3D reconstruction method for developing a stereo-vision-based haptics system which can replace "robotic eyes" and "robotic touch." The haptic rendering for 3D images requires to capture depth information and edge information of stereo images. This paper proposes the 3D reconstruction methods using LoG(Laplacian of Gaussian) algorithm and DoG(Difference of Gaussian) algorithm for edge detection in addition to the basic 3D depth extraction method for better haptic rendering. Also, some experiments are performed for evaluating the CPU time and the error rates of those methods. The experimental results lead us to conclude that the DoG method is more efficient for haptic rendering. This paper may contribute to investigate the effective methods for 3D image reconstruction such as in improving the performance of mobile patrol robots.

• Korean Chemical Engineering Research
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• v.46 no.2
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• pp.211-216
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• 2008

Bufexamac which was used for treatment of atopic dermatitis is the drug which was made as the ointment. However, penetration rate of bufexamac was very low for the barrier effect of stratum corneum. Microneedle was used to increase transdermal delivery rate of the bufexamac. We tried to conjugate bufexamac and FITC for the detection of penetration rate of bufexamac. FITC-bufexamac was mixed in hydrogel for the treatment skin surface. Fluorescent spectrophotometer was used to analysis the concentration of FITC-bufexamac. Microscope using fluorescent filter was used to capture the image about location of FITC-bufexamac in the skin. We confirmed that permeation rate of bufexamac was increased with the treatment by microneedle and was increased by the increasing number treatment of microneedle.

• Journal of IKEEE
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• v.14 no.3
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• pp.224-231
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• 2010

Automatic detection of objects in images has been one of core challenges in the areas such as computer vision and pattern analysis. Especially, with the recent deployment of personal mobile devices such as smart phone, such technology is required to be transported to them. Usually, these smart phone users are equipped with devices such as camera, GPS, and gyroscope and provide various services through user-friendly interface. However, the smart phones fail to give excellent performance due to limited system resources. In this paper, we propose a new scheme to improve object recognition performance based on pre-computation and simple local features. In the pre-processing, we first find several representative parts from similar type objects and classify them. In addition, we extract features from each classified part and train them using regression functions. For a given query image, we first find candidate representative parts and compare them with trained information to recognize objects. Through experiments, we have shown that our proposed scheme can achieve resonable performance.