• Title/Summary/Keyword: Area Detection

Search Result 3,290, Processing Time 0.031 seconds

Development of Data Acquisition System for Quantification of Autonomic Nervous System Activity and It's Clinical Use (자율신경계의 활성도 측정을 위한 Data Acquisition System의 개발 및 임상응용)

  • Shin, Dong-Gu;Park, Jong-Sun;Kim, Young-Jo;Shim, Bong-Sup;Lee, Sang-Hak;Lee, Jun-Ha
    • Journal of Yeungnam Medical Science
    • /
    • v.18 no.1
    • /
    • pp.39-50
    • /
    • 2001
  • Background: Power spectrum analysis method is a powerful noninvasive tool for quantifying autonomic nervous system activity. In this paper, we developed a data acquistion system for estimating the activity of the autonomic nervous system by the analysis of heart rate and respiratory rate variability using power spectrum analysis. Materials and methods: For the detection of QRS peak and measurement of respiratory rate from patient's ECG, we used low-pass filter and impedence method respectively. This system adopt an isolated power for patient's safety. In this system, two output signals can be obtained: R-R interval heart rate) and respiration rate time series. Experimental ranges are 30-240 BPM for ECG and 15-80 BPM for respiration. Results: The system can acquire two signals accurately both in the experimental test using simulator and in real clinical setting. Conclusion: The system developed in this paper is efficient for the acquisition of heart rate and respiration signals. This system will play a role in research area for improving our understanding of the pathophysiologic involvement of the autonomic nervous system in various disease states.

  • PDF

Current Status of Standard Diagnostics and Treatment for Malaria, Tuberculosis, and Hepatitis in Myanmar (미얀마의 말라리아, 결핵 및 간염의 표준 진단법 및 치료법 현황)

  • Han, Eun-Taek;Lee, Jong-Seok;Cheong, Jae-Hun;Chang, Chulhun L.;Nyunt, Myat Htut;Aung, Wah Wah;Kyaw, Yi Yi;Thant, Kyaw Zin
    • Laboratory Medicine Online
    • /
    • v.7 no.3
    • /
    • pp.94-102
    • /
    • 2017
  • Malaria, tuberculosis, and hepatitis are common and notorious infectious diseases in Myanmar. Despite intensive efforts to control these diseases, their prevalence remains high. For malaria, which is a vector-borne disease, a remarkable success in the reduction of new cases has been achieved. However, the annual number of tuberculosis cases has increased over the last few decades, and the prevalence of chronic viral hepatitis infection has been high in Myanmar and other nearby countries. Early detection and prompt treatment are crucial to control these diseases. We have devoted our research efforts to understanding the status of these infectious diseases and working towards their eventual elimination for the last four years with the support of the Korea International Cooperation Agency. In the modern era, an infection that develops in one geographical area can spread globally because national borders do not effectively limit disease transmission. Our efforts to understand the status of infectious diseases in Myanmar will benefit not only Myanmar but also neighboring countries such as Korea.

The Analysis Errors of Surface Water Temperature Using Landsat TM (Landsat TM을 이용한 표층수온 분석 오차)

  • 정종철;유신재
    • Korean Journal of Remote Sensing
    • /
    • v.15 no.1
    • /
    • pp.1-8
    • /
    • 1999
  • The estimation technique of surface water temperature by satellite remote sensing has been applied to ocean and large lakes using AVHRR. However, the spatial resolution AVHBR is not abquate for coastal region and small lakes. Landsat 5 TM has 120 m spatial resolution, which suits better. We carried out analysis of surface water temperature in Lake Sihwa and near coastal area using Landsat 5 TM. To relate digital number to the brightness temperature, we applied Empirical, NASA, RESTEC, Quadratic methods. Comparing calculated and observed value, we obtained as follows; NASA method, $R^2=0.9343$, RMSE(Root Mean Square Error)=3.5876$^{\circ}C$; RESTEC method, $R^2=0.8937$, RMSE=3.76$^{\circ}C$; Quadratic method, $R^2=0.8967$, RMSE=2.949$^{\circ}C$. Because Landsat TM has only one band for extracting surface temperature, it was difficult to correct for the atmospheric errors. For improving the accuracy of surface temperature detection using Landsat TM, there is a need for a method to decrease the effect of atmospheric contents.

Intertidal DEM Generation Using Waterline Extracted from Remotely Sensed Data (원격탐사 자료로부터 해안선 추출에 의한 조간대 DEM 생성)

  • 류주형;조원진;원중선;이인태;전승수
    • Korean Journal of Remote Sensing
    • /
    • v.16 no.3
    • /
    • pp.221-233
    • /
    • 2000
  • An intertidal topography is continuously changed due to morphodynamics processes. Detection and measurement of topographic change for a tidal flat is important to make an integrated coastal area management plan as well as to carry out sedimentologic study. The objective of this study is to generate intertidal DEM using leveling data and waterlines extracted from optical and microwave remotely sensed data in a relatively short period. Waterline is defined as the border line between exposed tidal flat and water body. The contour of the terrain height in tidal flat is equivalent to the waterline. One can utilize satellite images to generate intertidal DEM over large areas. Extraction of the waterline in a SAR image is a difficult task to perform partly because of the presence of speckle and partly because of similarity between the signal returned from the sea surface and that from the exposed tidal flat surface or land. Waterlines in SAR intensity and coherence map can effectively be extracted with MSP-RoA edge detector. From multiple images obtained over a range of tide elevation, it is possible to build up a set of heighted waterline within intertidal zone, and then a gridded DEM can be interpolated. We have tested the proposed method over the Gomso Bay, and succeeded in generating intertidal DEM with relatively high accuracy.

Estimation of Individual Tree and Tree Height using Color Aerial Photograph and LiDAR Data (컬러항공사진과 LiDAR 데이터를 이용한 수목 개체 및 수고 추정)

  • Chang, An-Jin;Kim, Yong-Il;Lee, Byung-Kil;Yu, Ki-Yun
    • Korean Journal of Remote Sensing
    • /
    • v.22 no.6
    • /
    • pp.543-551
    • /
    • 2006
  • Recently efforts to extract information about forests by using remote sensing techniques for efficient forest management have progressed actively. In terms of extraction of tree information using single remote sensing data, however, the accuracy of tree recognition and the quantity of extracted information is limited. The objective of this study is to carry out tree modeling in domestic environment applying the latest core technique for tree modeling using color aerial photographs and LiDAR data and to estimate the result of tree modeling. A small-scale coniferous forest was investigated in Daejeon. It was 0.77 that the $R^2$ of accuracy test of tree numbers that estimated with color aerial photography and LiDAR data. In terms of tree height, there was no difference between the estimated value and the field measurements in the case of the group accuracy test of the recently unchanged area. Moreover $R^2$ was 0.83 in the case of the individual accuracy test.

The Topical Absorption of Ketoprofen from Gels and Plaster in Human Volunteers (케토프로펜 겔제와 플라스터제의 피부 흡수 비교)

  • Gang, Won-Gu;Lee, Chang-Hyeon;U, Jong-Su;Gwon, Gwang-Il
    • YAKHAK HOEJI
    • /
    • v.42 no.1
    • /
    • pp.25-30
    • /
    • 1998
  • This study was designed to compare the absorption fraction and extent of ketoprofen gels and a matrix typed ketoprofen plaster patch. 3g (90mg as ketoprofen) of the two gels whi ch has oleohydrogel or hydrogel as a base, respectively, and 3 pieces of plaster patches (90mg as ketoprofen) were, applied in the area of 210$cm^2$ on forearm in 12 volunteers by cross over design. Blood samples were collected serially up to 24 hours and the plasma concentrations of ketoprofen were analyzed by HPLC using flurbiprofen as an internal standard. The detection limit of the assay was 1ng/ml of ketoprofen in plasma. The pharmacokinetic parameters (e.g. $AUC_{24hr}$, $AUMC_{24hr}$, MRT, Fraction Absorbed) were calculated from the plasma concentrations time data of each volunteer. The oleo-hydrogel showed significantly higher absorption fraction and extent of ketoprofen than the current hydrogel. The mean plasma concentrations of the oleo-hydrogel were increased to 98.46${\pm}$23.15ng/ml by 6 hour after application, and increased futher to 100.61${\pm}$18.65ng/ml at 24 hour. On the other hand, those of the hydrogel were increased 17.61${\pm}$18.65ng/ml at 5 hour to 34.68${\pm}$9.65ng/ml at 24 hour gradually. Therefore the plasma concentrations of oleo-hydrogel at each measured time were 3~7 times greater than those of the hydrogel with statistical significance. The $AUC_{24hr}$ (1797.26${\pm}$52.09ng.h/ml) of the oleo-hydrogel was 3.5 times greater (P<0.05) than that (516.17${\pm}$104.52ng.h/ml) of the hydrogel. The plaster patches showed higher bioavailability ($AUC_{24hr}$ 2877.37${\pm}$578.27ng.h/ml) than the olea-hydrogel ($AUC_{24hr}$ 1797.26${\pm}$52.09ng.h/ml) without statistical significance. But the absorption fraction of the oleo-hydrogel was rather higher than that of the plaster patches during the first 6 hours after administration. These results suggest that newly developed ketoprofen gel which is used oleo-hydrogel as a base would show excellent skin permeation on topical application for the corresponding clinical indications and could be absorbed as well as plaster patches.

  • PDF

A Numerical Study on Smoke Behavior of Fishing Vessel Engine Room (어선 기관실의 연기 거동에 관한 수치해석 연구)

  • JANG, Ho-Sung;JI, Sang-Won
    • Journal of the Korean Society of Marine Environment & Safety
    • /
    • v.27 no.5
    • /
    • pp.683-690
    • /
    • 2021
  • The ventilation system of the engine room of a ship is generally installed to supply the combustion air necessary for the internal combustion engine and to remove the heat source generated in the engine room, and it must satisfy the international standard (ISO 8861) for the design conditions and calculation standards for the ventilation of the ship engine room. The response delay of the ventilation system including the fire detector is affected by the airflow formed inside the area and the location of the fire detector. In this study, to improve the initial fire detection response speed of a fire detector installed on a fishing vessel and to maintain the sensitivity of the installed detector, the smoke behavior was simulated using the air flow field inside the engine room, the amount of combustion air in the internal combustion engine, and the internal pressure of the engine room as variables. Analysis of the simulation results showed that reducing the flow rate in the air flow field and increasing the vortex by reducing the internal pressure of the engine room and installing a smoke curtain would accelerate the rise of the ceiling of the smoke component and improve the smoke detector response speed and ventilation system.

Feasibility Study on FSIM Index to Evaluate SAR Image Co-registration Accuracy (SAR 영상 정합 정확도 평가를 위한 FSIM 인자 활용 가능성)

  • Kim, Sang-Wan;Lee, Dongjun
    • Korean Journal of Remote Sensing
    • /
    • v.37 no.5_1
    • /
    • pp.847-859
    • /
    • 2021
  • Recently, as the number of high-resolution satellite SAR images increases, the demand for precise matching of SAR imagesin change detection and image fusion is consistently increasing. RMSE (Root Mean Square Error) values using GCPs (Ground Control Points) selected by analysts have been widely used for quantitative evaluation of image registration results, while it is difficult to find an approach for automatically measuring the registration accuracy. In this study, a feasibility analysis was conducted on using the FSIM (Feature Similarity) index as a measure to evaluate the registration accuracy. TerraSAR-X (TSX) staring spotlight data collected from various incidence angles and orbit directions were used for the analysis. FSIM was almost independent on the spatial resolution of the SAR image. Using a single SAR image, the FSIM with respect to registration errors was analyzed, then use it to compare with the value estimated from TSX data with different imaging geometry. FSIM index slightly decreased due to the differencesin imaging geometry such as different look angles, different orbit tracks. As the result of analyzing the FSIM value by land cover type, the change in the FSIM index according to the co-registration error was most evident in the urban area. Therefore, the FSIM index calculated in the urban was mostsuitable for determining the accuracy of image registration. It islikely that the FSIM index has sufficient potential to be used as an index for the co-registration accuracy of SAR image.

Convergence CCTV camera embedded with Deep Learning SW technology (딥러닝 SW 기술을 이용한 임베디드형 융합 CCTV 카메라)

  • Son, Kyong-Sik;Kim, Jong-Won;Lim, Jae-Hyun
    • Journal of the Korea Convergence Society
    • /
    • v.10 no.1
    • /
    • pp.103-113
    • /
    • 2019
  • License plate recognition camera is dedicated device designed for acquiring images of the target vehicle for recognizing letters and numbers in a license plate. Mostly, it is used as a part of the system combined with server and image analysis module rather than as a single use. However, building a system for vehicle license plate recognition is costly because it is required to construct a facility with a server providing the management and analysis of the captured images and an image analysis module providing the extraction of numbers and characters and recognition of the vehicle's plate. In this study, we would like to develop an embedded type convergent camera (Edge Base) which can expand the function of the camera to not only the license plate recognition but also the security CCTV function together and to perform two functions within the camera. This embedded type convergence camera equipped with a high resolution 4K IP camera for clear image acquisition and fast data transmission extracted license plate area by applying YOLO, a deep learning software for multi object recognition based on open source neural network algorithm and detected number and characters of the plate and verified the detection accuracy and recognition accuracy and confirmed that this camera can perform CCTV security function and vehicle number plate recognition function successfully.

Analysis of size distribution of riverbed gravel through digital image processing (영상 처리에 의한 하상자갈의 입도분포 분석)

  • Yu, Kwonkyu;Cho, Woosung
    • Journal of Korea Water Resources Association
    • /
    • v.52 no.7
    • /
    • pp.493-503
    • /
    • 2019
  • This study presents a new method of estimating the size distribution of river bed gravel through image processing. The analysis was done in two steps; first the individual grain images were analyzed and then the grain particle segmentation of river-bed images were processed. In the first part of the analysis, the relationships (long axes, intermediate axes and projective areas) between grain features from images and those measured were compared. For this analysis, 240 gravel particles were collected at three river stations. All particles were measured with vernier calipers and weighed with scales. The measured data showed that river gravel had shape factors of 0.514~0.585. It was found that the weight of gravel had a stronger correlation with the projective areas than the long or intermediate axes. Using these results, we were able to establish an area-weight formula. In the second step, we calculated the projective areas of the river-bed gravels by detecting their edge lines using the ImageJ program. The projective areas of the gravels were converted to the grain-size distribution using the formula previously established. The proposed method was applied to 3 small- and medium- sized rivers in Korea. Comparisons of the analyzed size distributions with those measured showed that the proposed method could estimate the median diameter within a fair error range. However, the estimated distributions showed a slight deviation from the observed value, which is something that needs improvement in the future.