• Clinical and Experimental Pediatrics
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• 제58권8호
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• pp.301-308
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• 2015

Purpose: We evaluated three blood glucose self-monitoring for measuring whole blood glucose levels in preterm and low-birth-weight infants. Methods: Between December 1, 2012 and March 31, 2013, 230 blood samples were collected from 50 newborns, who weighed, ${\leq}2,300g$ or were ${\leq}36$ weeks old, in the the neonatal intensive care unit of Eulji University Hospital. Three blood glucose self-monitoring (A: Precision Pcx, Abbott; B: One-Touch Verio, Johnson & Johnson; C: LifeScan SureStep Flexx, Johnson & Johnson) were used for the blood glucose measurements. The results were compared to those obtained using laboratory equipment (D: Advia chemical analyzer, Siemens Healthcare Diagnostics Inc.). Results: The correlation coefficients between laboratory equipment and the three blood glucose self-monitoring (A, B, and C) were found to be 0.888, 0.884, and 0.900, respectively. For glucose levels ${\leq}60mg/dL$, the correlation coefficients were 0.674, 0.687, and 0.679, respectively. For glucose levels>60 mg/dL, the correlation coefficients were 0.822, 0.819, and 0.839, respectively. All correlation coefficients were statistically significant. And the values from the blood glucose self-monitoring were not significantly different from the value of the laboratory equipment, after correcting for each device's average value (P>0.05). When using laboratory equipment (blood glucose ${\leq}60mg/dL$), each device had a sensitivity of 0.458, 0.604, and 0.688 and a specificity of 0.995, 0.989, and 0.989, respectively. Conclusion: Significant difference is not found between three blood glucose self-monitoring and laboratory equipment. But correlation between the measured values from blood glucose self-monitoring and laboratory equipment is lower in preterm or low-birth-weight infants than adults.

• 한국의학물리학회지:의학물리
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• 제32권2호
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• pp.40-49
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• 2021

Purpose: This study aimed to develop a surface-guided radiosurgery system customized for a neurosurgery clinic that could be used as an auxiliary system for improving the accuracy, monitoring the movements of patients while performing hypofractionated radiosurgery, and minimizing the geometric misses. Methods: RGB-D cameras were installed in the treatment room and a monitoring system was constructed to perform a three-dimensional (3D) scan of the body surface of the patient and to express it as a point cloud. This could be used to confirm the exact position of the body of the patient and monitor their movements during radiosurgery. The image from the system was matched with the computed tomography (CT) image, and the positional accuracy was compared and analyzed in relation to the existing system to evaluate the accuracy of the setup. Results: The user interface was configured to register the patient and display the setup image to position the setup location by matching the 3D points on the body of the patient with the CT image. The error rate for the position difference was within 1-mm distance (min, -0.21 mm; max, 0.63 mm). Compared with the existing system, the differences were found to be as follows: x=0.08 mm, y=0.13 mm, and z=0.26 mm. Conclusions: We developed a surface-guided repositioning and monitoring system that can be customized and applied in a radiation surgery environment with an existing linear accelerator. It was confirmed that this system could be easily applied for accurate patient repositioning and inter-treatment motion monitoring.

• 한국정보통신학회논문지
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• 제20권12호
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• pp.2341-2347
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• 2016

본 논문에서는 고속 FPGA 및 임베디드 리눅스를 사용하여 곡물 선별 모니터링 시스템을 구현하였다. 기존의 곡물 선별 모니터링 시스템은 독립형 모드에 기반으로 설계하였는데 비해 제안 된 시스템은 웹 서버와 웹 응용 프로그램 기반으로 설계하였다. 제안된 곡물 선별 시스템은 웹 서버 상에서 FPGA의 고속 하드웨어 인터페이스를 설계하였다. 제안 된 시스템은 리눅스 웹 서버의 멀티태스킹의 장점과 FPGA의 고속 하드웨어의 장점을 갖는다. 고속 레이트 라인 스캔 CCD 카메라의 제어 로직, 무게 중심점 추출 방법, 그리고 HSL 디코딩 및 웹 서버의 인터페이스는 FPGA로 구현하였다. 구현된 모니터링 시스템은 웹 애플리케이션에 의해 곡물 선별 모니터링과 시스템 고장 및 복구를 원격으로 제어 할 수 있다는 장점을 갖는다. 그 결과, 기존의 시스템에 비해 곡물 선별 성능을 업그레이드 할 수 있었다.

• 한국정밀공학회지
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• 제30권2호
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• pp.164-170
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• 2013

The latest vehicle yields a superior safety and reduction of driving burden by monitoring the driving state of vehicle and its environment with various sensors. To detect other vehicles and objects of the rear left and right-side blind spot area of driver, provide the information about a existence of objects inside the blind spot, and give a signal to avoid collision, this study proposes the intelligent outside rear-view mirror system. This study proposes SILS system with PreScan and Matlab/Simulink to verify practical applicability of developed BSDS. PreScan yields realistic driving environments and road conditions and vehicle model dynamics and collision warning is controlled by Matlab/Simulink.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.3875-3891
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• 2021

In this study, a Velostat pressure sensor was manufactured to develop a plantar pressure measurement system and a C#-based application was developed to monitor and collect plantar pressure data in real time. In order to evaluate the characteristics of the proposed plantar pressure measurement system, the accuracy of plantar pressure index and personal classification was verified by comparing with MatScan, a commercial plantar pressure measurement system. As a result, the output characteristics according to the weight of the Velostat pressure sensor were evaluated and a trend line with the reliability of r² = 0.98 was detected. The Root Mean Square Error(RMSE) of the weighted area was 11.315 cm², the RMSE of the x coordinate of Center of Pressure(CoP_x) was 1.036 cm and the RMSE of the y coordinate of Center of Pressure(CoP_y) was 0.936 cm. Finally, inaccuracy of personal classification, the proposed system was 99.47% and MatScan was 96.86%. Based on the advantage of being simple to implement and capable of manufacturing at low cost, it is considered that it can be applied to various fields of measuring vital signs such as sitting posture and breathing in addition to the plantar pressure measurement system.

• 대기
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• 제23권4호
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• pp.453-470
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• 2013

As a part of the KIAPS Observation Processing System (KOPS), we have developed the modules of satellite radiance data pre-processing and quality control, which include observation operators to interpolate model state variables into radiances in observation space. AMSU-A (Advanced Microwave Sounding Unit-A) level-1d radiance data have been extracted using the BUFR (Binary Universal Form for the Representation of meteorological data) decoder and a first guess has been calculated with RTTOV (Radiative Transfer for TIROS Operational Vertical Sounder) version 10.2. For initial quality checks, the pixels contaminated by large amounts of cloud liquid water, heavy precipitation, and sea ice have been removed. Channels for assimilation, rejection, or monitoring have been respectively selected for different surface types since the errors from the skin temperature are caused by inaccurate surface emissivity. Correcting the bias caused by errors in the instruments and radiative transfer model is crucial in radiance data pre-processing. We have developed bias correction modules in two steps based on 30-day innovation statistics (observed radiance minus background; O-B). The scan bias correction has been calculated individually for each channel, satellite, and scan position. Then a multiple linear regression of the scan-bias-corrected innovations with several predictors has been employed to correct the airmass bias.

• 한국HCI학회논문지
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• 제8권1호
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• pp.19-28
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• 2013

문화 자연유산 분야에서 3차원 스캐닝 기술은 아직 기록과 보존, 모니터링의 도구로 활용 폭이 제한되어 있으며, 전문가들에 의해 직접 활용되지 못하고 있다. 스캔 데이터의 정밀한 기하 정보는 효과적인 가시화를 통해 전문가들의 과학적 해석을 가능하게 할 수 있다. 본 연구에서는 이를 위해 스캔 모델로부터 필요한 기하 특성을 가시화하는 렌더링 기법들을 분석하고, 스캔 데이터의 가시화 파이프라인과 렌더링 기법 및 이의 분류 체계를 제시하였다. 또한 사례연구로서, 공룡발자국 분야의 기존 연구 방법을 분석하여 문제점을 도출하고, 이에 따라 스캔 모델을 가시화하여 전문가를 대상으로 테스트를 수행하였으며 이를 통해 효과성을 확인하였다. 본 연구는 3차원 스캔 데이터를 이용하여 문화 및 자연유산을 효과적으로 해석할 수 있는 실용적 방안을 제시하였음에 의의가 있다.

• 대한디지털의료영상학회논문지
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• 제13권1호
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• pp.39-48
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• 2011

Uses a Tomographic scan image and Table Object Distance(TOD) price after measuring, uses accuracy and usability of blood vessel diameter(Vessel Diameter) measurement under comparison evaluating boil TOD Calibration. The patient who enforces Prosecuting Attorney abdomen Tomographic scan in the object the superior mesentery artery uses PACS View from abdomen fault image and from blood vessel diameter and the table measures the height until of the blood vessel. Uses Angio Catheter from Angiography(5 Fr.) and enforces is measured from PACS View the height until of the table which and the blood vessel at TOD Calibration price and the size of the superior mesentery artery inputs measures an superior mesentery artery building skill. Catheter Calibration input Agnio Catheter where uses in Angiography the size of the superior mesentery artery at Catheter Calibration price and they measure. Produced an accuracy from monitoring data and comparison evaluated. The statistical program used SPSS. TOD Calibration accuracy was 96.53%, standard deviation is 0.03829. Catheter Calibration accuracy of 92.91%, standard deviation is 0.05085. Represents a statistically significant difference(p = 0). According to age and gender was not statistically significant(p > 0.05). TOD Calibration correlation coefficient R-squared of 88.8%, Catheter Calibration of the R-squared is 75.5%. High accuracy of both methods. Through this study, CT images using the measured distance between the table and the Object, TOD Calibration accuracy higher than two Catheter Calibration was measured. TOD and Catheter Calibration represents a statistically significant difference(p = 0).

• 대한원격탐사학회지
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• 제22권6호
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• pp.595-600
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• 2006

해양탑재체는 2008년 말 발사예정인 정지궤도 통신해양기상위성의 주요 탑재체로, 한반도 주의의 $2500km\times2500km$ 영역의 해색을 관찰한다. 해양탑재체는 전 영역을 16개의 슬롯으로 나누어 관찰하며, 이를 위하여 이축경사 방식의 스캔 미캐니즘을 이용한다. 본 연구에서는 해양탑재체에서 사용하고 있는 스캔 방식의 포인팅 안전성을 분석하였다. 또한 분석결과를 일반적으로 많이 사용하고 있는 짐벌 방식과 비교하였다. 이를 위해 각 방식의 포인팅 모델과 포인팅 안정성 척도를 제시하였다. 분석결과 이축경사 방식이 뛰어난 포인팅 안정성을 갖는다는 것을 보일 수 있었다. 해석결과는 각 미캐니즘의 규격 선성과 분석에 활용될 수 있다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.792-799
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• 2022

Building Information Modeling (BIM) technology is a key component of modern construction engineering and project management workflows. As-is BIM models that represent the spatial reality of a project site can offer crucial information to stakeholders for construction progress monitoring, error checking, and building maintenance purposes. Geometric methods for automatically converting raw scan data into BIM models (Scan-to-BIM) often fail to make use of higher-level semantic information in the data. Whereas, semantic segmentation methods only output labels at the point level without creating object level models that is necessary for BIM. To address these issues, this research proposes a hybrid semantic-geometric approach for clutter-resistant floorplan generation from laser-scanned building point clouds. The input point clouds are first pre-processed by normalizing the coordinate system and removing outliers. Then, a semantic segmentation network based on PointNet++ is used to label each point as ceiling, floor, wall, door, stair, and clutter. The clutter points are removed whereas the wall, door, and stair points are used for 2D floorplan generation. A region-growing segmentation algorithm paired with geometric reasoning rules is applied to group the points together into individual building elements. Finally, a 2-fold Random Sample Consensus (RANSAC) algorithm is applied to parameterize the building elements into 2D lines which are used to create the output floorplan. The proposed method is evaluated using the metrics of precision, recall, Intersection-over-Union (IOU), Betti error, and warping error.