• Title/Summary/Keyword: 반복적 보정

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Risk Assessment and Intervention of Ergonomic Risk Factor in Beekeeping (치과위생사의 직무스트레스 그리고 작업자세와 상지의 증상여부 및 기능과의 관련성)

  • Kwon, Yu-jin;Kang, Yong Ju;Seo, Sung-Hyo;Kim, Bokyoung;Park, Ki-Soo
    • Journal of agricultural medicine and community health
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    • v.44 no.4
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    • pp.209-219
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    • 2019
  • Objectives: This study investigated musculoskeletal symptoms in upper limbs according to the working environment (job stress) of dental hygienists and examine their relationship with upper limb functions. Methods: The subjects include 198 dental hygienists in dental hospitals and dental clinics in Pusan and Gyeongnam. The questionnaire was consisted of general characteristics of the subjects, job stress, musculoskeletal symptoms in upper limbs and function (Disability Measurement Tool for Upper Extremity Disorders-11, DASH-11). Results: The study was analyzed their musculoskeletal symptoms in upper limbs according to their general characteristics and found that the symptoms occurred in the neck (39.4%), the shoulders (54.6%), elbows (14.7%), and the hands (50.0%). Job stress was associated with upper limb functions (DASH-11) (model 3, B=5.210, p=0.012) and repeated elbow bending and spreading posture was associated with DASH-11 (model 3, B=6.561, p=0.029). Elbow symptoms were associated with DASH-11 in the upper limbs (B=10.679, p=0.003). Conclusion: Dental hygienists are experiencing limitations of upper limb function due to job stress. In particular, even if the correction of their uncomfortable posture is significantly related to the job stress and upper limb function, in order to improve the upper limb function of the dental hygienist, efforts to reduce the job stress as well as the uncomfortable posture are necessary.

Soil Water Characteristic Curve Using Volumetric Pressure Plate Extractor Incorporated with TDR System (TDR 측정시스템이 도입된 압력판 추출 시험기를 이용한 흙-함수특성곡선 연구)

  • Jung, Young-Seok;Sa, Hee-Dong;Kang, Seonghun;Oh, Se-Boong;Lee, Jong-Sub
    • Journal of the Korean Geotechnical Society
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    • v.31 no.8
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    • pp.17-28
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    • 2015
  • The purpose of this study is to measure the volumetric water content of unsaturated soils during drying and wetting process by using volumetric pressure plate extractor (VPPE) incorporated with time domain reflectometry (TDR). The VPPE consists of a pressure cell, a pressure regulator, a burette system and a TDR probe. Two samples with different initial void ratios were prepared in the pressure cell, and the air pressure at the range of 0.1 kPa - 50 kPa was applied to adjust the matric suction by the pressure regulator. The burette system was used to measure the volumetric water content change of the sample according to the matric suction. In addition, the TDR probe, installed in the cell, was used to evaluate the dielectric constant from the reflected signal of the electromagnetic wave at the probe. The volumetric water content of specimen was estimated by the empirical equation between the volumetric water content and dielectric constant, which was calibrated with the Jumunjin sand. The test results show that the volumetric water content calculated by TDR probe is strongly correlated to the measured value by burette system. The hysteresis occurs during drying and wetting process. Furthermore, the degree of hysteresis reduces in the repeated process. This study suggests that TDR may be effectively used to evaluate the water content soil for the determination of water characteristic curve of unsaturated soils.

A Passport Recognition and face Verification Using Enhanced fuzzy ART Based RBF Network and PCA Algorithm (개선된 퍼지 ART 기반 RBF 네트워크와 PCA 알고리즘을 이용한 여권 인식 및 얼굴 인증)

  • Kim Kwang-Baek
    • Journal of Intelligence and Information Systems
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    • v.12 no.1
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    • pp.17-31
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    • 2006
  • In this paper, passport recognition and face verification methods which can automatically recognize passport codes and discriminate forgery passports to improve efficiency and systematic control of immigration management are proposed. Adjusting the slant is very important for recognition of characters and face verification since slanted passport images can bring various unwanted effects to the recognition of individual codes and faces. Therefore, after smearing the passport image, the longest extracted string of characters is selected. The angle adjustment can be conducted by using the slant of the straight and horizontal line that connects the center of thickness between left and right parts of the string. Extracting passport codes is done by Sobel operator, horizontal smearing, and 8-neighborhood contour tracking algorithm. The string of codes can be transformed into binary format by applying repeating binary method to the area of the extracted passport code strings. The string codes are restored by applying CDM mask to the binary string area and individual codes are extracted by 8-neighborhood contour tracking algerian. The proposed RBF network is applied to the middle layer of RBF network by using the fuzzy logic connection operator and proposing the enhanced fuzzy ART algorithm that dynamically controls the vigilance parameter. The face is authenticated by measuring the similarity between the feature vector of the facial image from the passport and feature vector of the facial image from the database that is constructed with PCA algorithm. After several tests using a forged passport and the passport with slanted images, the proposed method was proven to be effective in recognizing passport codes and verifying facial images.

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Importance of Carbon Monoxide Transfer Coefficient (KCO) Interpretation in Patients with Airflow Limitation (기류제한 환자의 일산화탄소확산능 해석에서 폐용적 보정의 의의)

  • Seo, Yong Woo;Choi, Won-Il;Lee, Jeong Eun;Park, Hun Pyo;Ko, Sung Min;Won, Kyoung Sook;Keum, Dong Yoon;Lee, Mi-Young;Jeon, Young June
    • Tuberculosis and Respiratory Diseases
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    • v.59 no.4
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    • pp.374-379
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    • 2005
  • Background : The single-breath carbon monoxide diffusion capacity (DLCO) and the per unit alveolar volume (KCO; $D_LCO/VA$) gave discordant values when there was an abnormal alveolar volume (VA). However, the clinical significance of the discordant values in patients with airflow limitation has not been examined. This study investigated the $D_LCO$ and KCO changes after improving the airflow limitation. Methods : The baseline $D_LCO$ and KCO with lung volume were measured in patients with an airflow obstruction. The effective alveolar volume was measured using the single-breath $CH_4$ dilution method. The patients divided into two groups according to the baseline values: (1) increased KCO in comparison with the $D_LCO$ (high discordance) (2) decreased or not increased KCO in comparison with the $D_LCO$ (low discordance). The diffusion capacity and lung volume were measured after treatment. Results : There was no significant difference in the baseline lung volumes including the $FEV_1$ and FVC between the two groups. The $FEV_1$ and FVC were significantly increased in the high discordance group compared with the low discordance group after treating the airflow limitation. The $D_LCO$ and alveolar volume were significant higher in the high discordance group compared with the low discordance group while the TLC was not. Conclusion : The discordance between the $D_LCO$ and KCO could be translated into an airflow reversibility in patients with an airflow limitation.

Development of a deep-learning based tunnel incident detection system on CCTVs (딥러닝 기반 터널 영상유고감지 시스템 개발 연구)

  • Shin, Hyu-Soung;Lee, Kyu-Beom;Yim, Min-Jin;Kim, Dong-Gyou
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.19 no.6
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    • pp.915-936
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    • 2017
  • In this study, current status of Korean hazard mitigation guideline for tunnel operation is summarized. It shows that requirement for CCTV installation has been gradually stricted and needs for tunnel incident detection system in conjunction with the CCTV in tunnels have been highly increased. Despite of this, it is noticed that mathematical algorithm based incident detection system, which are commonly applied in current tunnel operation, show very low detectable rates by less than 50%. The putative major reasons seem to be (1) very weak intensity of illumination (2) dust in tunnel (3) low installation height of CCTV to about 3.5 m, etc. Therefore, an attempt in this study is made to develop an deep-learning based tunnel incident detection system, which is relatively insensitive to very poor visibility conditions. Its theoretical background is given and validating investigation are undertaken focused on the moving vehicles and person out of vehicle in tunnel, which are the official major objects to be detected. Two scenarios are set up: (1) training and prediction in the same tunnel (2) training in a tunnel and prediction in the other tunnel. From the both cases, targeted object detection in prediction mode are achieved to detectable rate to higher than 80% in case of similar time period between training and prediction but it shows a bit low detectable rate to 40% when the prediction times are far from the training time without further training taking place. However, it is believed that the AI based system would be enhanced in its predictability automatically as further training are followed with accumulated CCTV BigData without any revision or calibration of the incident detection system.

Automated Velocity Measurement Technique for Unconsolidated Marine Sediment (해양퇴적물의 자동음파전달속도 측정장치)

  • Kim, Dae-Choul;Kim, Gil-Young;Seo, Young-Kyo;Ha, Deock-Ho;Ha, In-Chul;Yoon, Young-Seok;Kim, Jeng-Chang
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.4 no.4
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    • pp.400-404
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    • 1999
  • The conventional mercury delay method to measure compressional wave velocity of unconsolidated sediment is inconvenient because the signal must be analyzed on the oscilloscope and the mercury column has to be calibrated between measurements. We developed an automated compressional wave velocity measurement technique by connecting an oscilloscope and a PC with a GPIB (General Purpose Interface Bus) card. The GPIB card buses signals from the oscilloscope to the PC where the signal from a sample is analyzed and compared to the input pulse thereby the compressional wave velocity of the sample is computed and recorded automatically. Differences between the mercury delay method and the automated measurement technique are negligible except the slightly greater velocity in the automated measurement technique. We concluded that the new technique can be used to measure the velocity for unconsolidated marine sediment. It also has an advantage to calculate sediment attenuation through the processing of waveform using the spectral ratio technique.

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A Strategy for the Application of National Scholastic Achievement Test 2005 in University Entrance Process (2005학년도 수학능력시험 체제를 반영한 대입전형요소 활용전략)

  • 남보우
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.11a
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    • pp.205-208
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    • 2003
  • 대학이 신입생을 선발하는 기준은 해당전공을 공부하는데 적합한 지원자를 선발하는 것이며, 해당모집단위에 많이 지원하게 하여 신입생 충원을 용이하게 하는 것 등이다. 대학은 입학전형을 거쳐서 신입생을 선발하게 되며, 선발기준으로 전형요소를 활용하게 된다. 전형요소 활용방법은 신입생 선발에 영향을 주기 때문에 전략적으로 중요하다. 2005학년도 신입생 선발에는 고등학교 7차 교육과정을 이수한 지원자들이 지원하게 되므로 전형요소에 있어서 변화가 있다. 대학입학수학능력 시험의 체제는 수험생들이 영역이나 과목을 선택하여 응시하는 방향으로 변화한다. 즉, 수리 영역을 가형 및 나형으로 응시하고, 하나의 탐구영역을 응시하되 사회탐구영역 및 과학탐구영역은 4과목 이내에서 선택하여 응시한다. 또한 수학능력시험의 성적표는 각 영역별 및 과목별 표준점수, 백분위점수 및 등급을 표시하여 통지한다. 본 연구는 변화된 수학능력시험의 체제와 고등학교 교육과정을 어떠한 방법으로 반영하여 학생을 선발하는 것이 바람직한가에 대한 전략을 도출하는 틀을 제시하고, 각 전형요소 활용의 대안과 문제점을 도출하고자 한다. 2005 수능시험 결과는 표준점수로 통지하기 때문에 만점 개념을 적용하기 어렵고, 표준점수를 전형요소로 활용할 때 전형총점 개념을 도입하기 어렵다. 또한 복수영역 및 과목의 선택에서 유리함과 불리함이 나타나게 된다. 과거의 수능시험결과를 분석하여 전형총점개념 도입의 방법과 불리함을 보정하여 주는 방법을 제시하고, 신입생을 선발하는 목적에 적합한 전형요소 결정전략을 도출하고자 한다.2; Learning Decisions, 2001) 연구모형을 설정하고 이를 근거로 실증연구를 수행 중에 있다.7.2 $e^{0.101}$x/, y = 70.01 $e^{0.030}$x/, 반감기는 12.0, 6.86, 23.0 일이고 폐장, 간장, 신장의 회복기간(x)별 크롬농도(y)의 소실속도 상관계수 (노출농도 0.50 mg/㎥군의 경우)는 y = 1808 $e^{0.004}$93x/, y = 12.02 $e^{0.029}$7x/, y = 67.61 $e^{0.029}$2x/ 반감기는 140.6, 23.3, 23.7 일로 평가되었다. 4. 고찰 : 실험동물의 전혈, 혈청, 뇨에서의 크롬농도와 시험물질 노출농도는 밀접한 상관을 가졌으나 농도에 정비례하지는 않았다. 뇨 중 흡수된 크롬의 경우 회복기간 초기 (12시간 내)에 대부분 배설이 일어나는 것으로 나타났다. 폐장이 간장, 신장 등 다른 장기에 비해 높은 축적량을 보였으며 축적된 크롬농도가 높을수록 크롬의 소실속도는 현저히 저하하는 경향을 보였다. 노출농도가 높을수록 각 장기조직 내 크롬의 소실속도 (clearance)는 크게 감소경향이 있었으며 이는 체내 과부하시 자정작용이 감소하는 것으로 판단되었다. 본 연구 결과 SD rat를 이용 반복흡입노출의 경우 생체의 무유해영향농도 (NOAEL)는 0.2mg/㎥이하이며 발암물질을 감안하여 안전계수를 100으로 할 경우 사람에 대한 NOAEL은 0.002mg/㎥이하로 판단되

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Cyclic Load Testing for Weak Axis Joints Connected with SRC Column and RC Beams (SRC기둥-RC보 약축방향 접합부 상세의 구조성능에 대한 실험적 연구)

  • Moon, Jeong-Ho;Lim, Jae-Hyung;Oh, Kyung-Hwan;Kim, Sung-Ho;Lee, Kang-Min
    • Journal of the Korea Concrete Institute
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    • v.21 no.1
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    • pp.37-45
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    • 2009
  • An objective of this study is to evaluate the structural performance of the weak axis SRC column-RC beam joints by experiments. Although one of common joint types is the connection with standard hooks, it has been required to examine its safety and to settle problems of the joint among practical engineers. Specimen types are classified into two categories, namely the type of standard hook and the type of shape improvement. The first one is consisted of three specimens which are reference type, development length modification type, and development length supplement type. Three specimens for shape improvement were made with variations on the arrangement of longitudinal reinforcements and the development length. Test results based on cyclic loadings were discussed with load-deflection curves, maximum strengths, strength degradations beyond the maximum. It was found that the standard hook types showed premature failures and consequent strength degradations due to splitting of joint concrete. However, satisfactory performance was obtained with the shape improvement type with wing-plate welding. No premature failures and strength degradations were detected with the specimens.

Development of High Dynamic Range Panorama Environment Map Production System Using General-Purpose Digital Cameras (범용 디지털 카메라를 이용한 HDR 파노라마 환경 맵 제작 시스템 개발)

  • Park, Eun-Hea;Hwang, Gyu-Hyun;Park, Sang-Hun
    • Journal of the Korea Computer Graphics Society
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    • v.18 no.2
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    • pp.1-8
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    • 2012
  • High dynamic range (HDR) images represent a far wider numerical range of exposures than common digital images. Thus it can accurately store intensity levels of light found in the specific scenes generated by light sources in the real world. Although a kind of professional HDR cameras which support fast accurate capturing has been developed, high costs prevent from employing those in general working environments. The common method to produce a HDR image with lower cost is to take a set of photos of the target scene with a range of exposures by general purpose cameras, and then to transform them into a HDR image by commercial softwares. However, the method needs complicate and accurate camera calibration processes. Furthermore, creating HDR environment maps which are used to produce high quality imaging contents includes delicate time-consuming manual processes. In this paper, we present an automatic HDR panorama environment map generating system which was constructed to make the complicated jobs of taking pictures easier. And we show that our system can be effectively applicable to photo-realistic compositing tasks which combine 3D graphic models with a 2D background scene using image-based lighting techniques.

Development of Plant Phenology and Snow Cover Detection Technique in Mountains using Internet Protocol Camera System (무인카메라 기반 산악지역 식물계절 및 적설 탐지 기술 개발)

  • Keunchang, Jang;Jea-Chul, Kim;Junghwa, Chun;Seokil, Jang;Chi Hyeon, Ahn;Bong Cheol, Kim
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.24 no.4
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    • pp.318-329
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    • 2022
  • Plant phenology including flowering, leaf unfolding, and leaf coloring in a forest is important to understand the forest ecosystem. Temperature rise due to recent climate change, however, can lead to plant phenology change as well as snowfall in winter season. Therefore, accurate monitoring of forest environment changes such as plant phenology and snow cover is essential to understand the climate change effect on forest management. These changes can monitor using a digital camera system. This paper introduces the detection methods for plant phenology and snow cover at the mountain region using an unmanned camera system that is a way to monitor the change of forest environment. In this study, the Automatic Mountain Meteorology Stations (AMOS) operated by Korea Forest Service (KFS) were selected as the testbed sites in order to systematize the plant phenology and snow cover detection in complex mountain areas. Multi-directional Internet Protocol (IP) camera system that is a kind of unmanned camera was installed at AMOS located in Seoul, Pyeongchang, Geochang, and Uljin. To detect the forest plant phenology and snow cover, the Red-Green-Blue (RGB) analysis based on the IP camera imagery was developed. The results produced by using image analysis captured from IP camera showed good performance in comparison with in-situ data. This result indicates that the utilization technique of IP camera system can capture the forest environment effectively and can be applied to various forest fields such as secure safety, forest ecosystem and disaster management, forestry, etc.