• Title/Summary/Keyword: Occurrence monitoring

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Design of Minimum and Maximum Control Charts under Weibull Distribution (와이블분포하에서의 최소값 및 최대값 관리도의 설계)

  • Jo, Eun-Kyung;Lee, Minkoo
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.6
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    • pp.521-529
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    • 2015
  • Statistical process control techniques have been greatly implemented in industries for improving product quality and saving production costs. As a primary tool among these techniques, control charts are widely used to detect the occurrence of assignable causes. In most works on the control charts it considered the problem of monitoring the mean and variance, and the quality characteristic of interest is normally distributed. In some situations monitoring of the minimum and maximum values is more important and the quality characteristic of interest is the Weibull distribution rather than a normal distribution. In this paper, we consider the statistical design of minimum and maximum control charts when the distribution of the quality characteristic of interest is Weibull. The proposed minimum and maximum control charts are applied to the wind data. The results of the application show that the proposed method is more effective than traditional methods.

Extracting Urban Boundary Using Grey Level Co-Occurrence Matrix Method and Visual Interpretation (GLCM과 육안판독을 이용한 도시경계 추출)

  • 손홍규;김기홍;유복모;방수남
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.04a
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    • pp.313-316
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    • 2003
  • Growing urban areas modify patterns of local land use and land cover. Land use changes associated with an urban area can be extensive. One way to understand and document land use change and urbanization is to establish benchmark maps compiled from satellite imagery The use of satellite imagery for monitoring urban growth has been widely demonstrated. Multi-temporal LANSAT TM image data has created the potential for monitoring urban change and land cover identification. In this study, for extracting urban boundary GLCM method and visual interpretation were used in CORONA imagery and SPOT imagery.

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Development of a displacement measurement system for architectural structures using artificial intelligence techniques (인공지능 기법을 활용한 건축 구조물 변위측정시스템 개발)

  • Kang, Ye-Jin;Kim, Dae-Geon;Woo, Jong-Yeol;Lee, Dong-Oun
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.04a
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    • pp.135-136
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    • 2022
  • As a recent technology, it is possible to partially grasp the occurrence of displacement of the entire building through artificial intelligence technology for big data through scanning. However, scanning and data processing take a lot of time, so there is a limit to constant monitoring, so constant monitoring technology of building behavior that combines wireless remote sensors and 3D shape scanning is required. Therefore, in this study, artificial intelligence program coding technology is linked. In addition, a technology capable of real-time wireless remote measurement of structure displacement will be developed through technology development in response to safety management that combines existing building technologies such as sensors. Through this, it is possible to establish an integrated management system for safety inspection and diagnosis.

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Fault Detection Method for Beam Structure Using Modified Laplacian and Natural Frequencies (수정 라플라시안 및 고유주파수를 이용한 보 구조물의 결함탐지기법)

  • Lee, Jong-Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.5
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    • pp.611-617
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    • 2018
  • The application of health monitoring, including a fault detection technique, is needed to secure the structural safety of large structures. A 2-step crack identification method for detecting the crack location and size of the beam structure is presented. First, a crack occurrence region was estimated using the modified Laplacian operator for the strain mode shape obtained from the distributed local strain data. The crack location and size were then identified based on the natural frequencies obtained from the acceleration data and the neural network technique for the pre-estimated crack occurrence region. The natural frequencies of a cracked beam were calculated based on an equivalent bending stiffness induced by the energy method, and used to generate the training patterns of the neural network. An experimental study was carried out on an aluminum cantilever beam to verify the present method for crack identification. Cracks were produced on the beam, and free vibration tests were performed. A crack occurrence region was estimated using the modified Laplacian operator for the strain mode shape, and the crack location and size were assessed using the natural frequencies and neural network technique. The identified crack occurrence region agrees well with the exact one, and the accuracy of the estimation results for the crack location and size could be enhanced considerably for 3 damage cases. The presented method could be applied effectively to the structural health monitoring of large structures.

Development of a model for a national animal health monitoring system 1. Epidemiological evaluation of factors influencing drug residues of milk in Gyeongnam area (동물(젖소) 건강 Monitoring system 모델 개발 1. 경남 지역에서 우유내 항생재 잔류에 영향을 미치는 인자에 대한 역학적 평가)

  • Kim, Jong-shu;Choi, Min-cheol;Kim, Gon-sup;Kang, Ho-jo;Nah, Dae-sik;Son, Sung-gi;Lee, Jong-min;Park, Il-guen;Heo, Jung-ho;Lee, Ju-hong;An, Dong-won
    • Korean Journal of Veterinary Research
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    • v.38 no.3
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    • pp.544-552
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    • 1998
  • A random study of 574 dairy farms in Gyeongnam area was designed to determine 1) management factors that may be associated with the occurrence of drug residues; 2) the dairy farmer's attitudes and knowledge about residues; 3) how these variables influence the occurrence of residues in dairy cattle. Management factors perceived as having the greatest influence on drug residues in milk were insufficient knowledge about withdrawal periods, errors due to hired help, insufficient identification and record of animals treated for mastitis, dry cow treatment for mastitis, and metritis treatment. Seventy-one percent of farms with residues problem used mixed own feeds compared with twenty-nine percent of farms with premedicated feeds. Factors significantly associated with the occurrence of residues were herd size, increased number of hired persons, increased frequency of use of mixed-own feeds, category of medicated feed, and producer's attitude toward the public health significance of residues. Our findings suggest that residue occurrence was mainly associated with errors due to hired help, insufficient knowledge about withdrawal periods, poor animal identification and records of treatment animals and use of medicated feeds. Any residue avodiance educational program needs to stress how to deal with these factors. This educational program should be directed to dairy farmers and employees, especially temporary employees. In addition, Dairy farmer's attitudes and knowledge about drug residues need to be improved. More evidence on the public healths significance of residues should be available to them. Because belife in importance of public healths concerns was related to successful residue avidance and because 81.3% of the dairy farmers with residue problem thought public healths concerns were less important than economic ones, it would be helpful to provide educational programs specifically directed to this issue. it may be useful to provide programs not only for the dairy farmers but also change of their concerns about on the public healths.

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Self-diagnosis property of strengthened concrete by rib of hybrid FRP and carbon fiber sheet (하이브리드FRP 탄소계 리브 및 탄소섬유시트 보강 콘크리트의 자가진단 기능 검토)

  • Park, Seok-Kyun;Kim, Dae-Hoon
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.05a
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    • pp.358-361
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    • 2006
  • For giving self-diagnosing capability, a method based on monitoring the changes in the electrical resistance of carbon materials in strengthened concrete has been tested. Then after examining change in the value of electrical resistance of carbon materials used as a rib of CFGFRP or a sheet of carbon fiber before and after the occurrence of cracks and fracture in hybrid FRP or carbon fiber sheet strengthened concrete at each flexural weight-stage, the correlations of each factors were analyzed.

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A Study of the Prediction of Earthquake Occurrence by Detecting Radon Radioactivity (라돈방사능농도의 측정을 통한 지진발생 예측에 관한 연구)

  • ;;;Takao Lida;Katsuhiro Yoshioka
    • Journal of Environmental Science International
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    • v.12 no.6
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    • pp.677-688
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    • 2003
  • The purpose of this study was to predict occurrence of earthquakes in Korea by measuring the concentration of radon radioactivity in the air and in the underground water. Two monitoring systems of radon concentration detection in the air were installed in Seoul, East Coast area, whereas of radon concentration in the underground water in Kyungju area during December, 1999 to June, 2001. The distribution of radon concentration in the air in Seoul is as follows Winter(10.10 $\pm$ 2.81 Bq/㎥), autumn(8.41 $\pm$ 1.35 Bq/㎥), summer(5.83 $\pm$ 0.05 Bq/㎥) and spring (5.34 $\pm$ 0.44 Bq/㎥), whereas the distribution of radon in the air in the East Coast area showed some difference as follows : autumn (14.08 $\pm$ 5.75 Bq/㎥), Summer (12.04 $\pm$ 0.53 Bq/㎥), Winter (12.02 $\pm$ 1.40 Bq/㎥) and spring (8.93 $\pm$ 0.91 Bq/㎥). In the meanwhile, the distribution of radon in the water is as follows : spring (123.59 $\pm$ 16.36count/10min), Winter (93.95 $\pm$ 79.69counter/10min), autumn (68.96 $\pm$ 37.53counter/10min) and spring (34.45 $\pm$ 9.69counter/10min). The daily range of the density of radon concentration in Seoul and East Coast area was between 5.51 Bq/㎥ - 9.44 Bq/㎥, 7.15 Bq/㎥ - 15.27 Bq/㎥, respectively. Correlation of the distributions of radon concentrations in the air and in underground water with earthquake showed considerable variations of radon concentration before the occurrence of the earthquake. The results suggested that radon radioactivity seemed to be helpful for the prediction of the occurrence of earthquake.

An Occurrence Aspect of Invasive Plants According to Planted Plants in Extensive Rooftop Greening (관리조방적 옥상녹화지의 식재식물에 따른 이입식물 출현 양상)

  • Han, Yi Chae;Lee, Eun Heui
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.14 no.3
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    • pp.71-84
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    • 2011
  • The purpose of this study is to suggest sustainable management of rooftop greening areas. This research is conducted to analyze birth-and-breeding state of planted plants set in extensive rooftop greening, and to examine occurrence aspect of invasive plants and its changes, some features of invasive plants on which can make a basic material for management program of planted plants as a whole. The experimental site is on the rooftop green area of Seoul Women's University which was constructed in 2007. The using method was monitoring rooftop greening areas and analyzing occurrence aspect of invasive plants and its changes by planted plants. Invasive plants were investigated six times overall in April, June, September, November of 2008, and April & June of 2009. As a result, 26 families and 66 species were found invaded. Of which 14 species of Gramineae were invaded the most remarkably. Through these study, it could be inferred some features of invasive plants and major region for it. After the analysis get done about feature of invasive plants, it shows that some invasive plants of all 66 species in total came out, otherwise occurred in a certain time of season. Within the researches eriod showed a higher incidence was found in Artemisia princeps, Conyza canadensis, Coreopsis anceolata, Equisetum arvense, Erigeron annuus, Oxalis corniculata, invasive plant have a lower incidence of plants were identified as Aster koraiensis, Dendranthema zawadsbum. So, when the plan to set a management device regarding occurrence aspect of invasive plants in accordance with planted plants on extensive rooftop greening, it was found that a sustainable & rational management device is desperately needed there for invasive & planted plants of the target area.

Study on monitoring and prediction for the red tide occurrence in the middle coastal area in the South Sea of Korea II. The relationship between the red tide occurrence and the oceanographic factors (원격탐사를 이용한 한국 남해 중부해역에서의 적조 예찰 연구 II. 적조발생과 해양인자간의 상관성 연구)

  • 윤홍주;남광우;조한근;변혜경
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.4
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    • pp.938-945
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    • 2004
  • On the relationship between the red tide occurrence and the oceanographic factors in the middle coastal area in the South Sea of Korea, the favorable oceanographic conditions for the red tide formation are considered as follows; the calm weather increases sea water temperature in summer and early-fall which the red tide occurs frequently, and the heavy precipitation brings some riverine water to ween: low salinity, high suspended solid, low phosphorus and high nitrogen, respectively. We decided the potential areas in the coastal zones vulnerable to the red tide occurrence based on the limited factors controlling the growth of phytoplankton. By using GIS through the overlap for three subject figures (phosphorus, nitrogen and suspended solids), it was founded that the potential areas are the Yeosu∼Dolsan coast, the Gamak bay, the Namhae coast, the Narodo coast, the Goheung and Deukryang bay. This result has very well coincided to the results of the satellite and in-situ data.

Estimation of Angular Acceleration By a Monocular Vision Sensor

  • Lim, Joonhoo;Kim, Hee Sung;Lee, Je Young;Choi, Kwang Ho;Kang, Sung Jin;Chun, Sebum;Lee, Hyung Keun
    • Journal of Positioning, Navigation, and Timing
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    • v.3 no.1
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    • pp.1-10
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    • 2014
  • Recently, monitoring of two-body ground vehicles carrying extremely hazardous materials has been considered as one of the most important national issues. This issue induces large cost in terms of national economy and social benefit. To monitor and counteract accidents promptly, an efficient methodology is required. For accident monitoring, GPS can be utilized in most cases. However, it is widely known that GPS cannot provide sufficient continuity in urban cannons and tunnels. To complement the weakness of GPS, this paper proposes an accident monitoring method based on a monocular vision sensor. The proposed method estimates angular acceleration from a sequence of image frames captured by a monocular vision sensor. The possibility of using angular acceleration is investigated to determine the occurrence of accidents such as jackknifing and rollover. By an experiment based on actual measurements, the feasibility of the proposed method is evaluated.