• Title/Summary/Keyword: national statistical system

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Statistical analyses on the relationships between red tide formation and meteorological factors in the Korean Coastal Waters and Satellite monitoring for red tide (한국 연안의 적조형성과 기상용인간의 상관성에 대한 통계학적 해석 및 위성에 의한 적조모니터링)

  • Yoon Hong-Joo;Lee Moon-Ok;Ryu Cheong-Ro
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2004.05a
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    • pp.279-284
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    • 2004
  • Red tide(harmful algae) in the Korean Coastal Waters has a given a great damage to the fishery every year. However, the aim of our study understands the influence of meteorological factors (air and water tempaerature, precipitation, sunshine, solar radiation, winds) relating to the mechanism of red tide occurrence and monitors red tide by satellite remote sensing, and analyzes the potential area for red tide occurrence by GIS. The meteorological factors have directly influenced on red tide formation. Thus, We want to predict and apply to red tide formation from statistical analyses on the relationships between red tide formation and meteorological factors. In future, it should be realized the near real time monitoring for red tide by the development of remote sensing technique and the construction of integrated model by the red tide information management system (the data base of red tide - meteorological informations).

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Genetic Polymorphisms of Apolipoprotein E in Korean Schizophrenic Patients (한국인 정신분열병 환자에서 Apolipoprotein E 유전자의 다형성)

  • Cho, Gwang-Hyun;Chung, Sang-Geun;Hwang, Ik-Keun
    • Korean Journal of Biological Psychiatry
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    • v.10 no.2
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    • pp.116-120
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    • 2003
  • Objectives:Although polymorphisms of apolipoprotein E have been investigated in many neuropsychiatric disorders, results were controversial and even contradictory. The purpose of this study was to investigate the genotypes of apolipoprotein E in schizophrenia and healthy controls, and to compare them in two groups in terms of distribution of apolipoprotein E genotype and allele. Method:Using polymerase chain reaction and amplified refractory mutation system, apolipoprotein E genotypes were identified in 77 schizophrenics and 115 healthy control persons. Results:The results were as follows 1) When genotypes of apolipoprotein E were classified into ${\varepsilon}2/2$, ${\varepsilon}2/3$, ${\varepsilon}2/4$, ${\varepsilon}3/3$, ${\varepsilon}3/4$, ${\varepsilon}4/4$ according to phenotypes, there were no statistical differences in genotypes between two groups 2) In terms of allele frequency, there were also no statistical differences between two groups Conclusion:These results suggest that genotypes and alleles of apolipoprotein E seem to be unrelated to the pathogenesis of schizophrenia.

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Pedestrian Detection Algorithm using a Gabor Filter Bank (Gabor Filter Bank를 이용한 보행자 검출 알고리즘)

  • Lee, Sewon;Jang, Jin-Won;Baek, Kwang-Ryul
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.9
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    • pp.930-935
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    • 2014
  • A Gabor filter is a linear filter used for edge detectionas frequency and orientation representations of Gabor filters are similar to those of the human visual system. In this thesis, we propose a pedestrian detection algorithm using a Gabor filter bank. In order to extract the features of the pedestrian, we use various image processing algorithms and data structure algorithms. First, color image segmentation is performed to consider the information of the RGB color space. Second, histogram equalization is performed to enhance the brightness of the input images. Third, convolution is performed between a Gabor filter bank and the enhanced images. Fourth, statistical values are calculated by using the integral image (summed area table) method. The calculated statistical values are used for the feature matrix of the pedestrian area. To evaluate the proposed algorithm, the INRIA pedestrian database and SVM (Support Vector Machine) are used, and we compare the proposed algorithm and the HOG (Histogram of Oriented Gradient) pedestrian detector, presentlyreferred to as the methodology of pedestrian detection algorithm. The experimental results show that the proposed algorithm is more accurate compared to the HOG pedestrian detector.

Problems in Mandatory Course Evaluations (강제적인 대학 강의평가의 문제점)

  • Han, Kyung-Soo;Choi, Sook-Hee;Park, Jae-Cheol
    • Communications for Statistical Applications and Methods
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    • v.18 no.1
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    • pp.35-45
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    • 2011
  • Some researchers insist that many students respond to the course evaluation surveys without sincerity and even without reading the questions. To analyze the pattern of student responses, the results of course evaluations for five semesters at Jeonbuk National University are reviewed. In mandatory course evaluations, 20% of the students marked the same option numbers to all questions regarding their lectures. In addition, consistent responses were over 50%. These results show that the university administration should reform the current course evaluation system in all respects.

Database Construction of High-resolution Daily Meteorological and Climatological Data Using NCAM-LAMP: Sunshine Hour Data (NCAM-LAMP를 이용한 고해상도 일단위 기상기후 DB 구축: 일조시간 자료를 중심으로)

  • Lee, Su-Jung;Lee, Seung-Jae;Koo, Ja-seob
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.3
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    • pp.135-143
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    • 2020
  • Shortwave radiation and sunshine hours (SHOUR) are important variables having many applications, including crop growth. However, observational data for these variables have low horizontal resolution, rendering its application to related research and decision making on f arming practices challenging. In the present study, hourly solar radiation data were physically generated using the Land-Atmosphere Modeling Package (LAMP) at the National Center f or Agro-Meteorology, and then daily SHOUR fields were calculated through statistical downscaling. After data quality evaluation, including case studies, the SHOUR data were added to the existing publically accessible LAMP daily database. The LAMP daily dataset, newly updated with SHOUR, has been provided operationally as input data to the "Gyeonggi-do Agricultural Drought Prediction System," which predicts agricultural weather disasters and field crop growth status.

A New Method on the Derivation of the Thermodynamic Quantities for a System Represented by the Canonical Ensemble (Canonical Ensemble 로 代表된 系의 에너지 分布則 및 熱力學的牀態量의 道出에關하여)

  • Kim Shoon-Kyung
    • Journal of the Korean Chemical Society
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    • v.3 no.1
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    • pp.3-8
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    • 1954
  • Fowler obtained thermodynamic quantities assuming the theory which could be derived by representing the system with microcanonical ensemble, in order to introduce the temperature T of the system proper, he considered the combined systems which are composed of the system proper and another arbitrary system that is in thermal contact with the former, and represented the combined system by a microcanonical ensemble, here, he used the steepest descent method in his calculation. This Fowler's treatment is not only unsatisfactory at the point of theoretical view but also he could not make the formulation of free energy of Helmholtz's so that this formular was forced to be assumed. From the point of Quantum Statistical Mechanical view, the materially closed system which is in an equilibrium state with the temperature T is best represented by canonical ensemble. At the actual derivation of the distribution law and thermodynamic quantities, however, in order to avoid the difficulty of calculation Tolman proceeded his calculation either representing the system proper by the grand-canonical ensemble or adding a certain limitation.

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A Research of Body Size Analysis and Graphing in 20yrs Korean Women (20대 한국 여성의 체위 분석과 도식화 연구)

  • Kim, Dong-Il;Park, Hyun-Jung
    • The Journal of Korean Obstetrics and Gynecology
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    • v.21 no.1
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    • pp.179-198
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    • 2008
  • Purpose: Obesity is already a major clinical problem in Korea, so obesity prevention and treatment practices are gradually interested in Korean Medicine doctors. Moreover subjective body shape image entered as a important medical topic recently. To make a graph system for clinical tool which based on the Korean national standard physical scale. Methods: Physical data of the girth of upper arm, abdomen, hip, buttock, flank, calf, and body weight were statistically analyzed, which collected through the fifth national standard physical scale research. And then reviewed those statistical validation. Results: Relationship of the each body scale data and those graphs were fit and right statistically. Conclusion: These new achieved graph system of Korean standard body scales could be adopt as a useful clinical tool for body image related patients such as obesity, PCOD and postpartum patient.

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A Rating Tabulation System of Amenity / Disamenity Elements in Rural Villages (농촌마을 수준에서의 어메니티 강화 및 저해요소 평가등급체계 구축)

  • Lim, Chang-Su;Choi, Soo-Myung;Kim, Young-Joo;Cho, Young-Jae
    • Journal of Korean Society of Rural Planning
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    • v.13 no.2
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    • pp.27-38
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    • 2007
  • This study, a sub-one of comprehensive research work titled under "A Evaluation System of Amenity / Disamenity Elements in Rural Villages", tried to propose a rational methodology for development of rating tabulation for evaluation of amenity / disamenity elements in rural villages. The system developed in the study has the formalized rating grades between 2 and 5 for convenience/simplification of analysis work. For each evaluation element in the lowest order of the system, 5 types of rating technique were arranged, which were based on statistical analysis using mean and standard deviation values, its existence or not, relative significance of its holding volume and quality, synthesized weight scale of its quality and quantity, and the others. And, standardized 4-steps procedure for rating tabulation was proposed. Finally, through case studies of 4 sample villages representing the flat-plain, upland, seashore and periurban rural areas, the applicability of this rating tabulation system was verified.

An Optimal Design for Power Consumption of 2.2"~2.6" Display System of Mobile Phone

  • Cheng, Hui-Wen;Huang, Hsuan-Ming;Li, Yiming;Tsai, Tseng-Chien;Chen, Hung-Yu;Huang, Kuen-Yu;Hsieh, Tsau-Hua
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.968-971
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    • 2009
  • TFT-LCD display system is nowadays one of power-hungry components in portable products; technique of power reduction is thus essential for production of mobile phone. In this work, we minimize the display power, using computationally intelligent statistical methodology. Compared with a conventional design, 68.474% reductions on the current consumption could be obtained for a 2.2-inch of TFT-LCD display system of mobile phone. The total power consumption of the display system consisting of the backlight system and current consumption of display panel is thus successfully reduced form 68.305mW to 64.06mW (about 6.215% reductions).

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An Integrated Maintenance in Injection Molding Processes (사출성형 공정에서의 통합정비방법에 관한 연구)

  • Park, Chulsoon;Moon, Dug Hee;Sung, Hongsuk;Song, Junyeop;Jung, Jongyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.3
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    • pp.100-107
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    • 2015
  • Recently as the manufacturers want competitiveness in dynamically changing environment, they are trying a lot of efforts to be efficient with their production systems, which may be achieved by diminishing unplanned operation stops. The operation stops and maintenance cost are known to be significantly decreased by adopting proper maintenance strategy. Therefore, the manufacturers were more getting interested in scheduling of exact maintenance scheduling to keep smooth operation and prevent unexpected stops. In this paper, we proposedan integrated maintenance approach in injection molding manufacturing line. It consists of predictive and preventive maintenance approach. The predictive maintenance uses the statistical process control technique with the real-time data and the preventive maintenance is based on the checking period of machine components or equipment. For the predictive maintenance approach, firstly, we identified components or equipment that are required maintenance, and then machine parameters that are related with the identified components or equipment. Second, we performed regression analysis to select the machine parameters that affect the quality of the manufactured products and are significant to the quality of the products. By this analysis, we can exclude the insignificant parameters from monitoring parameters and focus on the significant parameters. Third, we developed the statistical prediction models for the selected machine parameters. Current models include regression, exponential smoothing and so on. We used these models to decide abnormal patternand to schedule maintenance. Finally, for other components or equipment which is not covered by predictive approach, we adoptedpreventive maintenance approach. To show feasibility we developed an integrated maintenance support system in LabView Watchdog Agent and SQL Server environment and validated our proposed methodology with experimental data.