• Title/Summary/Keyword: Data Modelling

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Estimation of the Second Flight Season of Chilo suppressalis (Lepidoptera: Crambidae) Adults in the Northeastern Chinese Areas (중국 동북부 지역에서 이화명나방(Chilo suppressalis)(Crambidae) 2화기 성충 발생 시기 추정)

  • Jung, Jin Kyo;Kim, Eun Young;Yang, Woonho;Lee, Seuk-Ki;Shin, Myeong Na;Yang, Jung-Wook;Ju, Hongguang;Jin, Dongcun;Pao, Jin;Wang, Jichun;Zhu, Feng
    • Korean journal of applied entomology
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    • v.61 no.2
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    • pp.335-347
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    • 2022
  • We investigated the emergence patterns of Chilo suppressalis (Lepidoptera: Crambidae) adults using sex pheromone traps in the three northeastern areas, Dandong (40°07'N 124°23'E) (Liaoning province), and Gongzhuling (43°30'N 124°49') and Longjing (42°46'N 129°26'E) (Jilin province), China, in 2020 and 2021. Two times of adult flight seasons were isolated clearly during the rice growing periods in the all areas, in which the first season from mid May to late July, and the second season from mid July to mid September were observed. The adult emergence seasons in the areas at higher latitude were later than that at lower latitude. Using the adult emergence data during the first flight seasons, the second flight seasons were estimated through insect phenology modelling, and compared with the observed data. Temperature-dependent life history models (developmental rate, development completion, survival rate, adult aging rate, total fecundity, oviposition completion, and adult survival completion) were collected or constructed for each life stage of C. suppressalis, in which the data from the four previous studies were used. Those models were combined in an insect phenology estimation software, PopModel, and operated for the observed areas. In the results, the phenology modelling operated with the models based on the data of shorter larval periods in the previous studies estimated more accurately the second flight seasons. In 2021, we investigated the change of damaged hill ratios of rice with observing the adult emergence at Dandong and Longjing, 2021. The increase periods of damaged hill ratios of rice were observed two times during the total rice cultivation season, which may be caused by different generations of C. suppressalis larvae.

Analysis of Rainfall Spatial Correlation Structure Using Minutely Data (분단위 자료를 이용한 강우의 공간상관구조 분석)

  • Yoo, Chul-Sang;Park, Chang-Yeol;Kim, Kyoung-Jun;Jun, Kyung-Soo
    • Journal of the Korean Society of Hazard Mitigation
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    • v.8 no.6
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    • pp.113-120
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    • 2008
  • This study analyzed the spatial correlograms of minutely rainfall data with respect to various accumulation times. A bivariate mixed lognormal distribution was applied for rainfall modelling. A total of 26 minutely rainfall data sets from rain gauge stations in the central part of Korean peninsula were analyzed, also repeated for several storm types like Jang-Ma, typhoon and convective storms for their comparison. The accumulation times 1, 2, 3, 5, 10, 30 and 60 minutes were considered in this study. As results, it was found that the minutely rainfall data available was not good enough for estimating minutely rainfall intensity at ungaged locations. It seems more practical to use the hourly rainfall data with much higher rain gauge density, if proper methods for interpolation and data dis-aggregation are provided.

A study on the effective management of artillery ammunition using ASRP data -The case of test interval determination, shelf-life prediction, force effectiveness analysis- (저장탄약신뢰성평가 데이터를 활용한 포병탄약의 효과적 관리방안 연구 -시험주기 설정, 저장수명 예측, 전력효과 분석을 중심으로-)

  • Lee, Jung-Woo;Hong, Yoon-Ki
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.9
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    • pp.4349-4358
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    • 2012
  • ASRP(Ammunition Stockpile Reliability Program) Data is stored and operated in the field of evaluating the ammunition is not only the only field data but also the ammunition performance-oriented data can determine objectively the power of the artillery. However, ASRP has been used as a yardstick to judge the status of ammunitions stockpiled in the field. On the other hand re-evaluation of the accumulated data and in-depth research have not been carried out. A Study on the Effective Management of Artillery Ammunition using ASRP data suggests how to utilize the ASRP data to analyze and manage existing artillery forces whose focus is centered on increasing the performance of artillery ammunitions through setting the test intervals of deployed stockpiled ammunitions, forecasting the shelf-life of ammunitions, and analyzing the effectiveness of the military strength through modelling and simulation.

Implementation of Non-SQL Data Server Framework Applying Web Tier Object Modeling (웹티어 오브젝트 모델링을 통한 non-SQL 데이터 서버 프레임웍 구현)

  • Kwon Ki-Hyeon;Cheon Sang-Ho;Choi Hyung-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.4B
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    • pp.285-290
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    • 2006
  • Various aspects should be taken into account while developing a distributed architecture based on a multi-tier model or an enterprise architecture. Among those, the separation of role between page designer and page developer, defining entity which is used for database connection and transaction processing are very much important. In this paper, we presented DONSL(Data Server of Non SQL query) architecture to solve these problems applying web tier object modelling. This architecture solves the above problems by simplifying tiers coupling and removing DAO(Data Access Object) and entity from programming logic. We concentrate upon these three parts. One is about how to develop the DAO not concerning the entity modification, another is automatic transaction processing technique including SQL generation and the other is how to use the AET/MET(Automated/Manual Execute d Transaction) effectively.

The Comparison Among Prediction Methods of Water Demand And Analysis of Data on Water Services Using Data Mining Techniques (데이터마이닝 기법을 활용한 상수 이용현황 분석 및 단기 물 수요예측 방법 비교)

  • Ahn, Jihoon;Kim, Jinhwa
    • The Journal of Bigdata
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    • v.1 no.1
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    • pp.9-17
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    • 2016
  • This study identifies major features in water supply and introduces important factors in water services based on the information from data mining analysis of water quantity and water pressure measured from sensors. It also suggests more accurate methods using multiple regression analysis and neural network in predicting short term prediction of water demand in water service. A small block of a county is selected for the data collection and tests. There isa water demand on business such as public offices and hospitalstoo in this area. Real stream data from sensors in this area is collected. Among 2,728 data sets collected, 2,632 sets are used for modelling and 96 sets are used for testing. The shows that neural network is better than multiple regression analysis in their prediction performance.

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Development of Construction Project Control System for Large Sized Construction by Process and Data Modeling (대형건설공사의 프로세스 및 데이터 모델링을 통한 건설프로젝트관리체계 구축에 관한 연구)

  • Choi Yoon-Ki;Lee Hyun-Soo;Hwang Young-Sam;Kim Young-Suk;Kim Woo-Young;Song Young-Woong
    • Korean Journal of Construction Engineering and Management
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    • v.5 no.2 s.18
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    • pp.153-161
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    • 2004
  • The systematic material and labor management planning should be established on accomplished EVM data. The matrix method of integrated cost and schedule was used with common category concept according to the construction project control system. The construction project control system was suggested through analyzing process and data modeling based on integrated cost, schedule and material. Information of construction project can be developed the relationship between the field data and the integrated cost, schedule database. Process and data modelling is provide a standard data format which are related to the material, labor management based on integrated cost, schedule database.

On the Length Scale and the Wall Proximity Function in the Mellor-Yamada Level 2.5 Turbulence Closure Model for Homogeneous Flows

  • Lee, Jong-Chan;Jung, Kyung-Tae
    • Journal of the korean society of oceanography
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    • v.32 no.2
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    • pp.75-84
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    • 1997
  • Relation between the length scale and the wall proximity function in the Mellor-Yamada level 2.5 turbulence closure model has been investigated through various experiments using a range of wall proximity functions. The model performance has been evaluated quantitatively by comparing with laboratory data for wind-driven flow (Baines and Knapp, 1965) and for open-channel flows without and with adverse wind action (Tsuruya, 1985). Comparison shows that a symmetric wall proximity function used by Blumberg and Mellor(1987) gives rise to current profiles with better accuracy than asymmetric wall proximity functions considered. It is noted that in modelling homogeneous flows the length scale 1= 0.31${\|}$z${\|}$(1+z/h) can be used with tolerable accuracy.

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3-D Modelling of Facility Using Digital Map and Aerial Photos (수치지도와 항공사진을 이용한 시설물 3차원 모델링)

  • 손홍규;최종현;김의명
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.10a
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    • pp.303-308
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    • 2003
  • Facility management system has been studied recently due to its increasing demand. As a starting step it is necessary to create 3-D shape of the facility. In this study, we attempted to create 3-D shape of the buildings by fusing the raster and vector information. the raster information comes from stereo aerial photographs and the vector information comes from the existing 2-D digital map. GPS surveying and data conversion using ACAD and ARCINFO also performed to extract building height from stereo aerial photographs. Finally we could be able to perform semi-automatic 3-D building modeling with fusion of two sources of information.

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3D Modelling of Steep Rock Face by Terrestrial Scanning LiDAR (지상 Scanning LiDAR에 의한 암사면의 3차원 모델링)

  • Lee, Yong-Chang
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2007.04a
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    • pp.93-96
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    • 2007
  • LIDAR is a relatively new technological tool that can be used to accurately georeference terrain features, and also is becoming an important 3D mapping tool in GIS. In this study it is described the capabilities of terrestrial LIDAR that was used to build a 3D terrain model of extremely steep rock face, along with the useful data and examples of contributions terrestrial lidar has made to outcrop studies. For this, High-resolution terrestrial lidar acquisition, processing, interpretation are discussed and applied to mapping of geological surfaces in three dimensions. We expected that lidar is a tool with which we can improve our current field methods and quantify the observations geologists make.

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A Simulation Model for the performance of process using SIMAN Language in Flexible Manufacturing Systems (유연생산체제에서 SIMAN을 이용한 공정의 수행도 평가를 위한 시뮬레이션 모형)

  • 강영식;함효준
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.44
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    • pp.153-161
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    • 1997
  • This paper has proposed the modelling by simulation in order to evaluate the performance of process through discrete event simulation using SIMAN language in flexible manufacturing systems. The production system is assumed to be a job shop type of system under the batch production of discrete products. In this paper, the input data is the workstation(process) time, the number of workstation(process), a probability distribution, the number of simulation runs. Also, transient period is considered. In the case study, this paper deals with three products in real flexible manufacturing systems. Finally, a number of simulation runs were executed under different experimental conditions to obtain preliminary statistics on the following performance measures: operating rate of facility and average system operating rate, transient period, central processing unit, average system throughput, and average waiting time in queues.

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