• Title/Summary/Keyword: Monitoring categories

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Synecological Characteristics and Vitality Analysis of the Berchemia berchemiaefolia Habitat (망개나무자생지의 식생특성과 활력도 분석)

  • Park, In-Hwan;Cho, Kwang-Jin
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.14 no.2
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    • pp.97-105
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    • 2011
  • This study was carried out to investigate vegetation and tree vitality of Berchemia berchemiaefolia habitat to recommend basic information for synecological characteristics. Totally 9 vegetation data were collected and analyzed. And one plant community (Quercus serrata-Berchemia berchemiaefolia community) including 43 families 66genera 72 species 8 varieties and 3 forma was differentiated. Quercus serrata-Berchemia berchemiaefolia community was subdivided into Typical subunit and Quercus mongolica subunit. Species showing the higer r-NCD value in the plant community were Berchemia berchemiaefolia, Quercus serrata, Lindera obtusiloba, Fraxinus rhynchophylla, Acer pseudo-sieboldianum, Corylus heterophylla var. thunbergii. In tree vitality result, Berchemia berchemiaefolia population containing 35 individual was estimated 3 monitoring categories; 1) General 2) Principal 3) Absolute. These categories frequencies arranged by the order General Monitoring (85.7%; 30 individual), Principal Monitoring (11.4%; 4 individual) and Absolute Monitoring (2.9%; 1 individual).

Variation of Concentration of Air Pollutants with Air Mass Back-Trajectory Analysis in Gyeongju (기단 역궤적분석에 의한 경주시 대기오염물질의 농도 변화)

  • Kim, Kyung-Won;Bang, So-Yung;Jung, Jong-Hyun
    • Journal of Korean Society for Atmospheric Environment
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    • v.24 no.2
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    • pp.162-175
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    • 2008
  • Gyeongju, which was the central city of the ancient civilization at Silla Kingdom, has various kinds of stone cultural properties. It is significantly important to preserve historical sources of Korea. However, recent air quality data measured in Gyeongju did not show good air quality level. In order to investigate variation of the concentration of the air pollutants with meteorological condition, an air quality monitoring and an aerosol sampling were conducted during the intensive monitoring period in Gyeongju. Impacts of the meteorological factors on the air pollutants were also analyzed based on the air mass pathway categories using HYSPLIT model and the local wind patterns using MM5 model. The prevailing air mass pathways were classified into four categories as following; category I affected by easterly marine aerosols, category II affected by northwesterly continental aerosols, category III affected by southwesterly continental aerosols, and category IV affected by northerly continental aerosols. The concentrations of the air quality standards were relatively lower during the fall intensive monitoring period. At that time, the easterly marine air mass pattern was dominated. The seasonal average mass concentration of $PM_{10,Opt}$, which optically measured at the monitoring site, was the highest value of $77.6{\pm}28.3\;{\mu}g\;m^{-3}$ during the spring intensive monitoring period but the lowest value of $20.1{\pm}5.3\;{\mu}g\;m^{-3}$ during the fall intensive monitoring period. The concentrations of $SO_2$ and CO were relatively higher when the air mass came from the northwestern continent or the northern continent. The concentrations of ${SO_4}^{2-}$ and ${NO_3}^-$ increased under the northwesterly continental condition. It was estimated that the acidic aerosols were dominated in the atmosphere of Gyeongju when the air mass came from the continental regions.

Comparison of Three Land Cover Classification Algorithms -ISODATA, SMA, and SOM - for the Monitoring of North Korea with MODIS Multi-temporal Data

  • Kim, Do-Hyung;Jeong, Seung-Gyu;Park, Chong-Hwa
    • Korean Journal of Remote Sensing
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    • v.23 no.3
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    • pp.181-188
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    • 2007
  • The objective of this research was to investigate the optimal land cover classification algorithm for the monitoring of North Korea with MODIS multi-temporal data based on monthly phenological characteristics. Three frequently used land cover classification algorithms, ISODATA1), SMA2), and SOM3) were employed for this study; the land cover categories were forest, grass, agricultural, wetland, barren, built-up, and water body. The outcomes of the study can be summarized as follows. First, the overall classification accuracy of ISODATA, SMA, and SOM was 69.03%, 64.28%, and 73.57%, respectively. Second, ISODATA and SMA resulted in a higher classification accuracy of forest and agricultural categories, but SOM performed better for the built-up area, bare soil, grassland, and water. A possible explanation for this difference would be related to the difference of sensitivity against the vegetation activity. This would be related to the capability of SOM to express all of their values without any loss of data by maintaining the topology between pixels of primitive data after classification, while ISODATA and SMA retain limited amount of data after normalization process. Third, we can conclude that SOM is the best algorithm for monitoring the land cover change of North Korea.

Development of a Computer-Assisted Microbiological Quality Assurance Program for Hosipital Foodservice Operations (병원 급식시설의 미생물적 품질관리를 위한 전산 프로그램개발에 관한 연구)

  • Kwak, Tong-Kyung;Jang, Hye-Ja;Joo, Se-Young
    • Korean journal of food and cookery science
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    • v.8 no.2
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    • pp.137-145
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    • 1992
  • A computer-assisted microbiological quality assurance program was developed based on HACCP data obtained from a 500 bed general hospital by assessing time and temperature conditions and microbiological qualities of six categories of menu items according to the process of food product flow. The purpose of the study was to develop a computer-assisted microbiological quality assurance program in order to simplify the assessment procedures and to provide a maximum assurance to foodservice personnel and the public. A 16-Bit personnel computer compatible with IBM-PC/AT was used. The data base files and processing programs were created using dBASE III plus packages. The contents of the computerized system are summarized as knows: 1. When the input program for hazard analysis runs, a series of questions are asked to determine hazards and assess their severity and risks. Critical control points and monitoring methods for CCPs are identified and saved in Master file. 2. Output and search programs for hazard analysis are composed of 6 categories of recipe data file list, code identification list, and HACCP identification of the specific menu item. 3. When the user selects a specific category of recipe from 6 categories presented on the screen and runs data file list, a series of menu item list, CCP list, monitoring methods list are generated. When the code search program runs, menu names, ingredients, amounts and a series of codes are generated. 4. When the user types in a menu item and an identification code, critical control points and monitoring methods are generated for each menu item.

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Signal-Based Structural Health Monitoring Methods for Caisson-Type Breakwaters (케이슨식 방파제의 신호기반 구조건전성 모니터링 기법)

  • 이용환;김주영;박재형;김정태
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2004.10a
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    • pp.451-458
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    • 2004
  • The caisson-type breakwaters have been widely used in the area of harbor construction. Because of the importance of the breakwaters, structural health monitoring in the breakwaters by using appropriate methods is of great needs. In this study, a caisson-type breakwater that has fatigue cracks due to wave-impact is investigated. First, a signal-based structural health monitoring method is proposed for the breakwaters structures. Excitation and sensor systems are designed on finite element model and monitoring categories are also selected. Structural health monitoring was realized by using measured dynamic response signals and analyzed information.

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A Remote Monitoring and Control System for Waste Treatment Facility via Public Communication Network.

  • Jung, Jae-Hak;Choi, Jin-Yong
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.124.2-124
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    • 2001
  • The research for development of remote monitoring and control systems composed three stages of research categories. At the first stage, we decided the suitable instrumentation devices for interface between H/W systems and waste water treatment facility. And at the second stage, we developed the software package for remote monitoring and data transmission system including data receipt system via wired telephone line. At the final stage we developed local control system for auto-process control of waste water treatment facilities. For the first stage of research we developed the a drawing of design the instrumentation and selected optimal sensors or monitoring basic important data. After the first stage research we developed the software package with Graphic User Interface(GUI) ...

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A Design of Infrastructure for Control/Monitoring System in the Distributed Computing Environment (분산 컴퓨팅 환경에서의 제어/감시 시스템 개발을 위한 기반 구조 설계)

  • 이원구;박재현
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.547-547
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    • 2000
  • Recently, due to the advance of computer, network and Internet technology, control/monitoring systems are required to process the massive data, At the same time, the software development environment uses more and more component-based methodology. This paper proposes the services for the control /monitoring domain. Especially we define domain-specific interfaces and categories to acquire compatibility between products, and implement architecture for lightweight event service. As it is very important to support compatibility between heterogeneous systems, the proposed system provides modules for the web service and communication protocols based on the XML. And as proposed architecture consists of cluster of servers and Windows 2000's NLB service, it can guarantee more stable operation,

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Development of Intelligent Monitoring System for Welding Process Faults Detection in Auto Body Assembly (자동차 차체 제조 공정에서 용접 공정 오류 검출을 위한 지능형 모니터링 시스템 개발)

  • Kim, Tae-Hyung;Yu, Ji-Young;Rhee, Se-Hun;Park, Young-Whan
    • Journal of Welding and Joining
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    • v.28 no.4
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    • pp.81-86
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    • 2010
  • In resistance spot welding, regardless of the optimal condition, bad weld quality was still produced due to complicated manufacturing processes such as electrode wear, misalignment between the electrode and workpiece, poor part fit-up, and etc.. Therefore, the goal of this study was to measure the process signal which contains weld quality information, and to develop the process fault monitoring system. Welding force signal obtained through variety experimental conditions was analyzed and divided into three categories: good, shunt, and poor fit-up group. And then a monitoring algorithm made up of an artificial neural network that could estimate the process fault of each different category based on pattern was developed.

Anomaly Test for Ozone Concentration Data from National Air Monitoring Stations (오존 자동측정망 자료 중의 이상치 점검)

  • 김영성
    • Journal of Korean Society for Atmospheric Environment
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    • v.15 no.2
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    • pp.139-150
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    • 1999
  • The ozone concentrations measured at the National Air Monitoring Stations between 1990 and 1995 were reviewed to detect any anomalies in the measurements. By screening the cases, in which variation of the ozone concentration from the previous measured value is greater than 75ppb, 125 station-days were identified as the test cases for the anomaly test. Historical and parallel consistencies of the measured concentrations were examined by plotting data for each test case. The detected anomalies can be classified into four categories; single outliers, anomalous variations during the startup period, baseline rises, and fluctuations in th diurnal variations. Anomalies were detected in as many as 80 cases among 125 test cases. Because of these anomalies, the number of hours exceeding 100ppb in the areas other than the Greater Seoul Area(GSA) could decrease from 157 to 107. Further studies for developing the methodology for eliminating the abnormal monitoring data are warranted for the data from the National Air Monitoring Stations are official to the both inside and outside of the country.

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Test of Independence Between Variables to Estimate the Frequency of Damage in Heat Pipe (열수송관 파손빈도 추정을 위한 변수간 독립성 검정)

  • Myeongsik Kong;Jaemo Kang;Sungyeol Lee
    • Journal of the Korean GEO-environmental Society
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    • v.24 no.12
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    • pp.61-67
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    • 2023
  • Heat pipes located underground in urban areas and operated under high temperature and pressure conditions can cause large-scale human and economic damage if damaged. In order to predict damage in advance, damage and construction information of heat pipe are analyzed to derive independent variables that have a correlation with frequency of damage, and a simple regression analysis modified model using each variable is applied to the field. However, as the correlation between independent variables applied to the model increases, the independence between variables is harmed and the reliability of the model decreases. In this study, the independence of the pipe diameter, burial depth, insulation level of monitoring system, and disconnection or short circuit of the detection line, which are judged to be interrelated, was tested to derive a method for combining variables and setting categories necessary to apply to the frequency of damage estimation model. For the test of independence, the continuous variables pipe diameter and burial depth were each converted into three categories, insulation level of monitoring system was converted into two categories, and the categorical variable disconnection or short circuit of the detection line status was kept as two categories. As a result of the test of independence, p-value between pipe diameter and burial depth, level of monitoring system and disconnection or short circuit of the detection line was lower than the significance level (α = 0.05), indicating a large correlation between them. Therefore, the pipe diameter and burial depth were combined into one variable, and the categories of the combined variable were set to 9 considering the previously set categories. The insulation level of monitoring system and the disconnection or short circuit of the detection line were also combined into one variable. Since the insulation level is unreliable when the detection line status is disconnection or short circuit, the categories of the combined variable were set to 3.