• Title/Summary/Keyword: Error Indicator

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Study on Effects of Separation Distance between Flat Cover and Radar for 24 GHz Band Radar (24 GHz 대역 레이더의 평면 커버와 레이더 간의 이격 거리의 영향에 관한 연구)

  • Junho Yeo;Jonghwan Lee;Jeong Tak Ryu
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.2
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    • pp.27-33
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    • 2024
  • In this paper, the effects of separation distance from a thick radar cover on the performance of 24 GHz band radar was studied through experiments. When a polycarbonate radar cover with a thickness of 10 mm was placed in front of the radar, the variations in radar performance according to the change in the separation distance between the radar and the radar cover was compared with the case without the radar cover. As a radar performance indicator, the distance measured from the radar was used, and the distance was measured using the radar when a person moves away from the radar at a constant speed in the hallway of the building and then approaches again. The separation distance between the radar and radar cover was tested at 2 mm, 5 mm, and 20 mm, respectively. When there was no radar cover, the distance could be measured up to 49.64 m and the error was the lowest. When the separation distance was 2 mm, there was a section where distance measurement was not possible starting from 37.61 m, so the performance was the worst. When the separation distance was increased to 5 mm and 20 mm, the distance was measured up to 49.56 m, but the section where the error between the measured distance and the expected distance was large occurred more often than when there was no radar cover.

A Study on the Possibility of Utilizing Both Biotope Maps and Land Cover Maps on the Calculation of the Ecological Network Indicator of City Biodiversity Index (도시생물다양성 지수(CBI) 중 생태네트워크 산정을 위한 도시생태현황지도 및 토지피복지도 활용 가능성 연구)

  • Park, Seok-Cheol;Han, Bong-Ho;Park, Min-Jin;Yun, Hyerngdu;Kim, Myungjin
    • Journal of the Korean Institute of Landscape Architecture
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    • v.44 no.6
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    • pp.73-83
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    • 2016
  • This study modified and applied the ecological network(Indicator 2) from the City Biodiversity Index(CBI) to be tailored to Korea. It is calculated by utilizing a biotope map and a land cover map. The ecological network of Gyeryong-Si was 13,713,703(33.8%) with the biotope map and 17,686,966(37.9%) with the land cover map. The result of the biotope map was lower than the land cover map. The ecological network of Goyang-Si was 4,961,922(4.9%) with the biotope map and 4,383,207(3.7%) with the land cover map. The result of the land cover map was lower than the biotope map. As a main result of the research, an error was discovered in which, when calculating the ecological network, the types of the military unit facilities were distinguished into a special area on the biotope map and into an urbanization promotion area and a forest area on the land cover map. In the case of a middle-classified, land cover map, the land use in the surroundings of the forest area was not subdivided. An error in the development area expressed as a forest green was discovered. When selecting the natural elements, too, regarding the types of artificially-created rivers, artificial ponds, and artificial grasslands, etc. on a biotope map, the exclusions were necessary. Regarding the natural, bare ground on a land cover map, there was a need to calculate by including the natural elements. It was judged that, in the future, the ecological network in the unit of the entire nation can be analyzed roughly by utilizing a land cover map. It was judged that, in a city having a biotope map, the calculation of the ecological network utilizing a map of the present situation of the urban ecology will be a more accurate diagnosis of the present situation.

Estimation of Chlorophyll Contents in Pear Tree Using Unmanned AerialVehicle-Based-Hyperspectral Imagery (무인기 기반 초분광영상을 이용한 배나무 엽록소 함량 추정)

  • Ye Seong Kang;Ki Su Park;Eun Li Kim;Jong Chan Jeong;Chan Seok Ryu;Jung Gun Cho
    • Korean Journal of Remote Sensing
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    • v.39 no.5_1
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    • pp.669-681
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    • 2023
  • Studies have tried to apply remote sensing technology, a non-destructive survey method, instead of the existing destructive survey, which requires relatively large labor input and a long time to estimate chlorophyll content, which is an important indicator for evaluating the growth of fruit trees. This study was conducted to non-destructively evaluate the chlorophyll content of pear tree leaves using unmanned aerial vehicle-based hyperspectral imagery for two years(2021, 2022). The reflectance of the single bands of the pear tree canopy extracted through image processing was band rationed to minimize unstable radiation effects depending on time changes. The estimation (calibration and validation) models were developed using machine learning algorithms of elastic-net, k-nearest neighbors(KNN), and support vector machine with band ratios as input variables. By comparing the performance of estimation models based on full band ratios, key band ratios that are advantageous for reducing computational costs and improving reproducibility were selected. As a result, for all machine learning models, when calibration of coefficient of determination (R2)≥0.67, root mean squared error (RMSE)≤1.22 ㎍/cm2, relative error (RE)≤17.9% and validation of R2≥0.56, RMSE≤1.41 ㎍/cm2, RE≤20.7% using full band ratios were compared, four key band ratios were selected. There was relatively no significant difference in validation performance between machine learning models. Therefore, the KNN model with the highest calibration performance was used as the standard, and its key band ratios were 710/714, 718/722, 754/758, and 758/762 nm. The performance of calibration showed R2=0.80, RMSE=0.94 ㎍/cm2, RE=13.9%, and validation showed R2=0.57, RMSE=1.40 ㎍/cm2, RE=20.5%. Although the performance results based on validation were not sufficient to estimate the chlorophyll content of pear tree leaves, it is meaningful that key band ratios were selected as a standard for future research. To improve estimation performance, it is necessary to continuously secure additional datasets and improve the estimation model by reproducing it in actual orchards. In future research, it is necessary to continuously secure additional datasets to improve estimation performance, verify the reliability of the selected key band ratios, and upgrade the estimation model to be reproducible in actual orchards.

Analysis of the MODIS-Based Vegetation Phenology Using the HANTS Algorithm (HANTS 알고리즘을 이용한 MODIS 영상기반의 식물계절 분석)

  • Choi, Chul-Hyun;Jung, Sung-Gwan
    • Journal of the Korean Association of Geographic Information Studies
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    • v.17 no.3
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    • pp.20-38
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    • 2014
  • Vegetation phenology is the most important indicator of ecosystem response to climate change. Therefore it is necessary to continuously monitor forest phenology. This paper analyzes the phenological characteristics of forests in South Korea using the MODIS vegetation index with error from clouds or other sources removed using the HANTS algorithm. After using the HANTS algorithm to reduce the noise of the satellite-based vegetation index data, we were able to confirm that phenological transition dates varied strongly with altitudinal gradients. The dates of the start of the growing season, end of the growing season and the length of the growing season were estimated to vary by +0.71day/100m, -1.33day/100m and -2.04day/100m in needleleaf forests, +1.50day/100m, -1.54day/100m and -3.04day/100m in broadleaf forests, +1.39day/100m, -2.04day/100m and -3.43day/100m in mixed forests. We found a linear pattern of variation in response to altitudinal gradients that was related to air temperature. We also found that broadleaf forests are more sensitive to temperature changes compared to needleleaf forests.

Health Care Access and Utilization among Korean American Adults in Alameda County, California: 1994 and 2002

  • Kim, Young-Bok;Moskowitz, Joel M.;Lee, Hyun-Ju;Kazinets, Yevgeniy
    • Korean Journal of Health Education and Promotion
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    • v.23 no.5
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    • pp.29-46
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    • 2006
  • Purpose: Since 1994, Asian Health Services, the Korean American Community Advisory Board, and the Center for Family and Community Health (University of California at Berkeley) have conducted periodic, population-based surveys on Korean American community health in Alameda County, California. The present study examines changes in health care access and utilization between 1994 and 2002 among Korean American adults in Alameda County, California. Method: We reanalyzed data from the 1994 and 2002 Korean Health Surveys. The primary variables of interest, health care access and utilization, were operationalized in terms of health insurance coverage, routine check-ups, a usual source of health care and reported barriers to health care. The frequency distribution of each indicator was calculated and its standard error was estimated using SUDAAN. The differences between 1994 and 2002 were examined with chi-square test. Results: Compared to 1994, Korean Americans in Alameda County were more likely to have health insurance coverage in 2002 (74.0% vs. 82.7%). Korean Americans in Alameda County were more likely to have received a recent (prior two years) routine health checkup in 2002 (50.4% vs. 57.2%). Health checkups increased over time for males, for adults with more than 12 years of education, and for employed adults. Also, compared to 1994, employed adults were more likely to have a usual source of health care in 2002 (66.5% vs. 78.4%). In both 1994 and 2002, high cost (58.0% vs. 47.8%) was the most commonly cited barrier to health care, and the next most frequently cited barriers were language (29.2% vs. 27.7%) and no time (29.2% vs. 30.3%). Conclusion: To improve health care utilization and health conditions, it is important to investigate factors related to health care and to monitor changing trends. Ongoing surveillance of health-related factors can contribute to the development of health education programs to reduce morbidity and mortality due to chronic disease, and thereby lead to improvements in health status among Korean Americans.

Study on new type vehicle fuel economy correction formula review according to the applicable (신형식 자동차 적용에 따른 연비 보정식 검토에 관한 연구)

  • Lim, Jaehyuk;Kim, Sungwoo;Lee, Minho;Kim, Kiho
    • Journal of Energy Engineering
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    • v.25 no.4
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    • pp.198-206
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    • 2016
  • Fuel economy label will be used as a national indicator in energy management, leading to the development of car technology manufacturer and plays a role in providing consumer vehicle purchase information. But the government's fuel economy label is continued consumer complaint is different and diminishing fuel economy were introduced by the government to measure the exact fuel economy label than resetting the 5-cycle test method in the US for the domestic vehicle standards. Originally two test mode in order to reduce the impact of the sharp increase in the resources required but methods of calculating a measured result value by driving all of the five test mode a variety of environmental conditions and the running pattern is reflected to the fuel economy label (city( FTP-75 mode), highway(HWFET mode)) and using 5-cycle correction formula for calculating a fuel consumption value and the equivalent value to calculate the result of the 5-cycle test. The compensation was calculated expression 30s, 5-Cycle Test Method of vehicles in 2011 was considered necessary to review the existing 5-cycle correction formula for the New Type car due to the recent rapid development of automotive technology. In this study, recent technology is targeting 14 units New Type car applied over the same test method and the existing check test mode specific fuel economy properties and, as a result of analyzing the corrected expression differences that have already been developed with the existing test vehicle resulting large did not show the difference was found to correction formula also not getting the existing fuel correction expression significant effect on the improvement of the current automobile technology as a maximum error of less than 1.5%.

Prediction of Sea Surface Temperature and Detection of Ocean Heat Wave in the South Sea of Korea Using Time-series Deep-learning Approaches (시계열 기계학습을 이용한 한반도 남해 해수면 온도 예측 및 고수온 탐지)

  • Jung, Sihun;Kim, Young Jun;Park, Sumin;Im, Jungho
    • Korean Journal of Remote Sensing
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    • v.36 no.5_3
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    • pp.1077-1093
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    • 2020
  • Sea Surface Temperature (SST) is an important environmental indicator that affects climate coupling systems around the world. In particular, coastal regions suffer from abnormal SST resulting in huge socio-economic damage. This study used Long Short Term Memory (LSTM) and Convolutional Long Short Term Memory (ConvLSTM) to predict SST up to 7 days in the south sea region in South Korea. The results showed that the ConvLSTM model outperformed the LSTM model, resulting in a root mean square error (RMSE) of 0.33℃ and a mean difference of -0.0098℃. Seasonal comparison also showed the superiority of ConvLSTM to LSTM for all seasons. However, in summer, the prediction accuracy for both models with all lead times dramatically decreased, resulting in RMSEs of 0.48℃ and 0.27℃ for LSTM and ConvLSTM, respectively. This study also examined the prediction of abnormally high SST based on three ocean heatwave categories (i.e., warning, caution, and attention) with the lead time from one to seven days for an ocean heatwave case in summer 2017. ConvLSTM was able to successfully predict ocean heatwave five days in advance.

Gaussian Noise Reduction Method using Adaptive Total Variation : Application to Cone-Beam Computed Tomography Dental Image (적응형 총변이 기법을 이용한 가우시안 잡음 제거 방법: CBCT 치과 영상에 적용)

  • Kim, Joong-Hyuk;Kim, Jung-Chae;Kim, Kee-Deog;Yoo, Sun-K.
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.49 no.1
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    • pp.29-38
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    • 2012
  • The noise generated in the process of obtaining the medical image acts as the element obstructing the image interpretation and diagnosis. To restore the true image from the image polluted from the noise, the total variation optimization algorithm was proposed by the R.O. F (L.Rudin, S Osher, E. Fatemi). This method removes the noise by fitting the balance of the regularity and fidelity. However, the blurring phenomenon of the border area generated in the process of performing the iterative operation cannot be avoided. In this paper, we propose the adaptive total variation method by mapping the control parameter to the proposed transfer function for minimizing boundary error. The proposed transfer function is determined by the noise variance and the local property of the image. The proposed method was applied to 464 tooth images. To evaluate proposed method performance, PSNR which is a indicator of signal and noise's signal power ratio was used. The experimental results show that the proposed method has better performance than other methods.

Development of New Prototype of Mechanical Quality Assurance for Clinical Linear Accelerator (의료용 선형가속기의 기계적 점검을 위한 새로운 정도관리 프로토콜의 개발)

  • 윤형근;신교철;김기환;오영기;김진기;정동혁;김정기;조문준;박인규
    • Progress in Medical Physics
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    • v.13 no.3
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    • pp.109-113
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    • 2002
  • In recent years, the radiotherapy equipment has become much more sophisticated, and with the complication comes an increased set of quality assurance (QA) responsibilities. Today's computer controlled linear accelerator requiring QA of not only the radiation integrity, but also the mechanical accuracy of the linear accelerator. The existing QA sheets are adequate for acceptance testing and commissioning but those sheets are somewhat descriptive form for routine QA. establishing the QA sheets for a facility are more efficient if the sheets could estimate the long-term stability for the result of QA. We are going to develope new prototype of mechanical QA sheet to visualize and to verify long-term stability of mechanical QA for clinical linear accelerator. The items included in mechanical QA sheet were 1) gantry rotation, 2) collimator rotation, 3) couch rotation, 4) optical distance indicator (ODI), and 5) laser alignment. We compared new prototype sheet with conventional sheet for several hospitals in Korea for those items. The QA acceptance criteria in this study mainly followed published recommendations. The contents of test for mechanical QA are the following. Confirm that the digital and/or mechanical gantry angle readouts are correct. Verify that digital and/or mechanical readouts of collimator angle agree with the true angle, as determined with the protractor. Measure the light field using a graph paper and compare with the digital readouts. Confirm digital readout accuracy. Verify that the sagittal laser, the left and right lasers, and the ceiling laser intersect at the isocenter. In the design of new QA sheet, we emphasized the representation of the long-term stability of mechanical QA by using Excel program. By using the new prototype QA sheet, we simplified and visualized the mechanical QA process, and could estimate the long-term stability of mechanical error of linear accelerator.

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A Study on the Development of Urine Analysis System using Strip and Evaluation of Experimental Result by means of Fuzzy Inference (스트립을 이용한 요분석시스템의 개발과 퍼지추론에 의한 검사결과 평가에 관한 연구)

  • Jun, K. R.;Lee, S. J.;Choi, B. C.;An, S. H.;Ha, K.;Kim, J. Y.;Kim, J. H.
    • Journal of Biomedical Engineering Research
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    • v.19 no.5
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    • pp.477-486
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    • 1998
  • In this paper, we implemented the urine analysis system capable of measuring a qualitative and semi-quantitative and assay using strip. The analysis algorithm of urine analysis was adopted a fuzzy logic-based classifiers that was robust to external error factors such as temperature and electric power noises. The spectroscopic properties of 9 pads In a strip were studied to developing the urine analysis system was designed for robustnesss and stability. The urine analysis system was consisted of hardware and software. The hardware of the urine analysis system was based on one-chip microprocessor, and Its peripherals which composed of optic modulo, tray control, preamplifier, communication with PC, thermal printer and operating status indicator. The software of the urine analysis system was composed of system program and classification program. The system program did duty fort system control, data acquisition and data analysis. The classification program was composed of fuzzy inference engine and membership function generator. The membership function generator made triangular membership functions by statical method for quality control. Resulted data was transferred through serial cable to PC. The transferred data was arranged and saved be data acquisition program coded by C+ + language. The precision of urine analysis system and the stability of fuzzy classifier were evaluated by testing the standard urine samples. Experimental results showed a good stability states and a exact classification.

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