• Journal of the Korean Society of Radiology
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• 제18권2호
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• pp.101-108
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• 2024

Recently, Metaverse technology has emerged as an important topic in various fields. Metaverse refers to a three-dimensional virtual space in which social and economic activities similar to the real world are possible. Among the 235 third-year students who applied the Metaversity app in the radiology department of this university from September to December 2023, 200 participated in a survey to determine the difference in student response and satisfaction when applying the Metaversity app. analyzed. First, the most satisfactory VOD viewing method was viewing through the Metaversity app, followed by viewing through the LMS. Second, 'I think online videos are appropriate for holiday reinforcement.' showed the highest score at 4.35±0.60, 'I want face-to-face classes and online classes to be held simultaneously.' was 4.25±0.87, and 'I think meta. 'I watched it well through the Metaversity app' was the lowest at 4.10±0.30, and 'VOD viewing through the Metaversity app was used appropriately in class' was the lowest at 3.99±0.75. Also, there was no significant difference in the response to the teaching method (p>0.05). Third, in terms of satisfaction with VOD viewing using the Metaversity app, 'Applying the Metaversity app was interesting and fun' ranked the highest at 4.24±0.88. The score was high, with 'Better improvement is needed to actively utilize the metaversity app' at 4.00±0.45, and 'I hope the metaversity app is implemented in other remote classes' at 3.77±0.88. appear. 'VOD classes through the Metaversity app are better than the existing LMS method.' was found to be 3.44±0.66. Additionally, there was no significant difference in satisfaction with classes according to age and gender (p>0.05). The correlation between response and satisfaction with the metaversity app is 0.601, which can be considered very significant (p>0.001). As a limitation of this study, although we surveyed students' satisfaction with using the Metaversity app, we were unable to investigate the satisfaction of instructors who interact with students. In the future, we did not consider the instructor's satisfaction in classes using the Metaversity app. Research must be conducted, and universities must have institutional support and continued interest until metaversity apps are selected and used to prepare for distance learning.

• Korean Journal of Remote Sensing
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• 제40권4호
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• pp.387-396
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• 2024

Most very high-resolution (VHR) satellite images provide rational polynomial coefficients (RPC) data to facilitate the transformation between ground coordinates and image coordinates. However, initial RPC often contains geometric errors, necessitating correction through matching with ground control points (GCPs). A GCP chip is a small image patch extracted from an orthorectified image together with height information of the center point, which can be directly used for geometric correction. Many studies have focused on area-based matching methods to accurately align GCP chips with VHR satellite images. In cases with seasonal differences or changed areas, edge-based algorithms are often used for matching due to the difficulty of relying solely on pixel values. However, traditional edge extraction algorithms,such as canny edge detectors, require appropriate threshold settings tailored to the spectral characteristics of satellite images. Therefore, this study utilizes deep learning-based edge information that is insensitive to the regional characteristics of satellite images for matching. Specifically,we use a pretrained pixel difference network (PiDiNet) to generate the edge maps for both satellite images and GCP chips. These edge maps are then used as input for normalized cross-correlation (NCC) and relative edge cross-correlation (RECC) to identify the peak points with the highest correlation between the two edge maps. To remove mismatched pairs and thus obtain the bias-compensated RPC, we iteratively apply the data snooping. Finally, we compare the results qualitatively and quantitatively with those obtained from traditional NCC and RECC methods. The PiDiNet network approach achieved high matching accuracy with root mean square error (RMSE) values ranging from 0.3 to 0.9 pixels. However, the PiDiNet-generated edges were thicker compared to those from the canny method, leading to slightly lower registration accuracy in some images. Nevertheless, PiDiNet consistently produced characteristic edge information, allowing for successful matching even in challenging regions. This study demonstrates that improving the robustness of edge-based registration methods can facilitate effective registration across diverse regions.

• The Journal of the Korea Contents Association
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• 제8권12호
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• pp.37-44
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• 2008

Data entered into RFID tags are used for saving costs and enhancing competitiveness in the development of applications in various industrial areas. RFID readers perform the identification and search of hundreds of objects, which are tags. RFID technology that identifies objects on request of dynamic linking and tracking is composed of application components supporting information infrastructure. Despite their many advantages, existing applications, which do not consider elements related to real.time data communication among remote RFID devices, cannot support connections among heterogeneous devices effectively. As different network devices are installed in applications separately and go through different query analysis processes, there happen the delays of monitoring or errors in data conversion. The present study implements a RFID database handling system in semantic Web environment for integrated management of information extracted from RFID tags regardless of application. Users’ RFID tags are identified by a RFID reader mounted on an application, and the data are sent to the RFID database processing system, and then the process converts the information into a semantic Web language. Data transmitted on the standardized semantic Web base are translated by a smart browser and displayed on the screen. The use of a semantic Web language enables reasoning on meaningful relations and this, in turn, makes it easy to expand the functions by adding modules.

• Journal of Korean Society for Geospatial Information Science
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• 제22권4호
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• pp.53-61
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• 2014

Landsat OLI satellite imagery can be applied to various remote sensing applications, such as generation of land cover map, urban area analysis, extraction of vegetation index and change detection, because it includes various multispectral bands. In addition, land cover map is an important information to monitor and analyze land cover using GIS. In this paper, land cover map is generated by using Landsat OLI and existing land cover map. First, training dataset is obtained using correlation between existing land cover map and unsupervised classification result by K-means, automatically. And then, spectral signatures corresponding to each class are determined based on training data. Finally, abundance map and land cover map are generated by using iterative spectral mixture model. The experiment is accomplished by Landsat OLI of Cheongju area. It shows that result by our method can produce land cover map without manual training dataset, compared to existing land cover map and result by supervised classification result by SVM, quantitatively and visually.

• Journal of Korea Technology Innovation Society
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• 제16권4호
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• pp.954-977
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• 2013

This paper investigates the factors to affect the consumer selection of machine-to-machine (M2M) technology in the purchase and utilization of home appliances. M2M technology, based on mobile internet, allows for automatic operation and remote control of home appliances and equipment. The introduction of M2M technology could lead to the saving of domestic housework and of active social participation for women. With a view to focusing on the liberating potential of M2M technology, this paper analyzes the correlation between four independent variables (gender, income, employment status of married woman, and possession of mobile internet devices) and two dependent variables (intention for purchase and utilization of M2M household appliances). The possession of mobile internet devices such as smart phone and tablet PC turns out to be the most significant factor to affect both the purchase and utilization of M2M household appliances. The employment status (employed or not-employed) affects only the intention for purchase. Neither the income level nor gender has significant correlation with the intention for purchase or utilization. The results differ from the conventional wisdom that the consumer selection of household technology is substantially affected by gender, income and employment of housewife.

• Journal of the Korean Association of Geographic Information Studies
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• 제23권3호
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• pp.26-67
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• 2020

Synthetic Aperture Radar(SAR) is able to photograph the earth's surface regardless of weather conditions, day and night. Because of its possibility to search for hydrological factors such as soil moisture and groundwater, and its importance is gradually increasing in the field of water resources. SAR began to be mounted on satellites in the 1970s, and about 15 or more satellites were launched as of 2020, which around 10 satellites will be launched within the next 5 years. Recently, various types of SAR technologies such as enhancement of observation width and resolution, multiple polarization and multiple frequencies, and diversification of observation angles were being developed and utilized. In this paper, a brief history of the SAR system, as well as studies for estimating soil moisture and hydrological components were investigated. Up to now hydrological components that can be estimated using SAR satellites include soil moisture, subsurface groundwater discharge, precipitation, snow cover area, leaf area index(LAI), and normalized difference vegetation index(NDVI) and among them, soil moisture is being studied in 17 countries in South Korea, North America, Europe, and India by using the physical model, the IEM(Integral Equation Model) and the artificial intelligence-based ANN(Artificial Neural Network). RADARSAT-1, ENVISAT, ASAR, and ERS-1/2 were the most widely used satellite, but the operation has ended, and utilization of RADARSAT-2, Sentinel-1, and SMAP, which are currently in operation, is gradually increasing. Since Korea is developing a medium-sized satellite for water resources and water disasters equipped with C-band SAR with the goal of launching in 2025, various hydrological components estimation researches using SAR are expected to be active.

• Journal of Korea Water Resources Association
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• 제53권7호
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• pp.507-519
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• 2020

This study developed the radon measurement system that can be used for crustal movement monitoring and seismic occurrence and prediction, and compared and analyzed the results of test-operated radon measurement system and observed seismic occurrence cases. First, the developed radon measurement system consists of an NB-IoT radon measurement device, data center, data analysis, and data supply server. Because the measured radon data can be remotely trasmitted by using NB-IoT, this system is very suitable for installation and operation in unmaaned groundwater station. Second, the developed radon measurement device was test-operated at two groundwater stations in Gimpo from May to July 2019. The measured radon data was compared with the groundwater-level and electrical conductivity measurement data, and it was confirmed that the radon measurement device developed in this study has some potential for commercialization. Finally, from November 2019 to February 2020, three observed seismic cases and daily measured radon, groundwater-level, electrical conductivity data by the NB-IoT radon measurement device installed at three groundwater stations in Pohang, which is a test-bed, were compared and analyzed. As a result of the analysis, it was confirmed that the seismic occurrence correlated with radon, groundwater level, and electrical conductivity and all of these measured data will be able to provide basic data to help in seismic monitoring and prediction in the future.

• Korean Journal of Head & Neck Oncology
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• 제23권1호
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• pp.3-8
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• 2007

연구목적：국소적 진행성 편도암환자에서 수술적치료와 비수술적치료의 결과를 비교 분석하고자 하였다. 연구방법 : 수술 후 보조방사선요법을 시행한 군과 유도화학요법 시행 유무에 상관없이 근치적 방사선 치료 또는 항암화학-방사선 동시치료를 받은 비수술군의 임상결과를 후향적으로 분석하였다. 연구결과：52.4개월의 중앙 추적기간결과, 대상환자의 중앙 연령은 53세 이었다. 대상 환자 중 병기 Ⅲ, Ⅳ기 환자는 72명(82.8%)이었고, 49명(56.3%)이 수술적 치료를, 38명(43.7%)명이 비수술적 치료를 받았다. 방사선 조사량외에 양군간의 차이는 없었다 (수술군：60.4Gy, 비수술군：70.2Gy, p=0.02). 비수술군의 전체 생존율은 81.6%이었다. 수술군의 8명(16.3%), 비수술군의 6명 (15.8%)에서 재발이 발생하였다. 흥미로운 사실은 원격재발은 2명 모두 수술군에서 발생하였다. 병기 III, IV기의 5년 무병생존율과 전체생존율은 수술군이 각각 82.1%, 86.9%이고, 비수술군이 각각 83.3%, 83.1%이었다(p=0.96, p=0.96). 결론：수술적 치료에 비해 비수술적 치료가 활동능력이 불량한 환자에게 선호되었을 가능성이 있었음에도 불구하고, 치료성적은 비슷하였다. 편도암에서 수술적 치료와 비수술적 치료의 전향적 무작위 비교연구가 필요하다.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2006년도 학술발표회 논문집
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• pp.1970-1974
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• 2006

Tank 모형은 유역을 임의의 저류탱크로 가정하여, 유출공의 높이를 초과하는 저류고를 방출함으로써 유출량을 모의한다. 유출분석의 목적에 따라 직렬 3단 혹은 4단의 탱크로 구성하여 적용하는 것이 일반적인데, 국내의 일 단위 장기유출분석 연구에서는 직렬 4단 Tank 모형이 널리 활용되고 있다. 이러한 Tank 모형은 유역의 강우-유출관계를 모의하는 과정에 black box적인 특성을 지니고 있다. 그러나 각 저류탱크와 관련된 매개변수를 최적화하기 위해서는 매개변수들의 물리적인 의미를 이해하여야 한다. 이런 점을 고려하여 일본의 Sugawara는 경험적으로 매개변수들이 결정되는 범위를 제시한 바 있다. 그러나 기저유출을 모의하는 Tank 모형의 최하단 탱크에서 이러한 매개변수 범위에서는 적합한 값을 갖으나 장기적인 모의시에 저류고 및 유출고가 계속 증가하여 물리적인 유출특성을 반영하지 못하는 문제점이 나타났다. 따라서 본 연구에서는 이러한 문제점의 원인을 분석하기 위해 장기간의 자료가 구축된 소양강댐을 적용 유역으로 선정하여 최하단탱크의 유출공계수의 변화에 따른 유출량과 저류고의 변화를 살펴보았다. 분석결과 매개변수가 $0.0001{\sim}0.001$의 범위에서 장기간의 지속적인 저류고와 유출량의 증가가 나타났다. 그리고 유출공계수가 증가함에 따라 최대저류고는 감소하고, 저류고가 증가하는 지속기간이 짧아지는 것으로 나타났다. 그러나 통계치 변화분석에서는 상관계수, 평균제곱근오차, 모형효율성계수에서 거의 변화가 없는 것으로 나타났으며, 유출용적오차에서도 최대 약 6% 정도 유출용적이 변화하는 것으로 나타났다.mber)과 동일한 위치의 수온자료를 기초로 회귀분석을 실시함으로써 수온추출 알고리즘을 도출하여, 분석데이터의 신뢰도를 검증하였으며, 수온, 클로로필, 투명도 등을 위성원격탐사 자료와 GIS를 이용하여 공간분석을 실시하고, 공간분포도를 작성함으로써 대상해역의 해양환경을 파악하였다. 본 연구결과, 분석된 위성자료가 현장조사에 의한 검증이 이루어지지 않을 경우, 영상자료분석을 통한 표층수온 추출은 대기 중의 수증기와 에어로졸에 의한 계산치의 오차가 반영되기 때문에 실측치 보다 낮게 평가 될 수 있으므로, 반드시 이에 대한 검증이 필요함을 알 수 있었다. 현지관측에 비해 막대한 비용과 시간을 절약할 수 있는 위성영상해석방법을 이용한 방법은 해양수질파악이 가능할 것으로 판단되며, GIS를 이용하여 다양하고 복잡한 자료를 데이터베이스화함으로써 가시화하고, 이를 기초로 공간분석을 실시함으로써 환경요소별 공간분포에 대한 파악을 통해 수치모형실험을 이용한 각종 환경영향의 평가 및 예측을 위한 기초자료로 이용이 가능할 것으로 사료된다.염총량관리 기본계획 시 구축된 모형 매개변수를 바탕으로 분석을 수행하였다. 일차오차분석을 이용하여 수리매개변수와 수질매개변수의 수질항목별 상대적 기여도를 파악해 본 결과, 수리매개변수는 DO, BOD, 유기질소, 유기인 모든 항목에 일정 정도의 상대적 기여도를 가지고 있는 것을 알 수 있었다. 이로부터 수질 모형의 적용 시 수리 매개변수 또한 수질 매개변수의 추정 시와 같이 보다 세심한 주의를 기울여 추정할 필요가 있을 것으로 판단된다.변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이

• Journal of Wetlands Research
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• 제21권spc호
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• pp.123-133
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• 2019

This study analyzed the surface temperature mitigation effect of wetlands during cold waves (below -12℃ from January to February) and heat waves (above 33℃ from July to August) in 2018. We used Terra/Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Daytime and Nighttime Land Surface Temperature (LST) product, and the maximum and minimum air temperature observed at 86 stations of Korea Meteorological Administration (KMA). For the cold wave analysis, the LST of Terra MODIS nighttime was the highest at forest area with -12.7℃, followed by upland crop and wetland areas of -12.9℃ and -13.0℃ respectively. The urban area showed the lowest value of -14.4℃. During the heat wave, the urban area was the highest with + 34.6℃ in Aqua MODIS LST daytime. The wetland area was + 33.0℃ showing - 1.6℃ decrease comparing with urban area.