• Title, Summary, Keyword: 양파모형

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Estimation of Onion Weight on Growth Stages Using Functional Regression Model (범함수 회귀모형을 이용한 성장단계별 양파무게의 추정)

  • Cho, Wanhyun;Na, Myeong Hwan;Kim, Junki;Kim, Deoghyun
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.858-860
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    • 2019
  • 본 논문에서 우리는 범함수 회귀모형을 이용한 양파의 성장단계별 무게를 예측할 수 있는 새로운 통계적 추정방법을 제안한다. 여기서 우리는 풍속, 평균온도, 강우량, 일조량 그리고 습도 등 나타내는 환경요인들을 설명변수들로 사용하고, 양파의 성장단계별 무게를 반응변수로 사용하여 범함수 회귀모형을 적용하였다. 먼저 그래프분석과 상관분석을 통하여 우리는 일일 평균온도는 양파의 무게 증진에 가장 큰 양의상관이 있고, 풍속이나 습도 그리고 일조량들은 양파의 성장에 약간의 영향력이 있으며 강우량은 양파의 성장에 전혀 도움이 안됨을 알 수 있었다. 두 번째로 범함수 회귀 분석을 통하여 얻어진 각 환경요인들에 대한 회귀계수들의 그림을 통하여 우리는 양파의 성장 기간 동안에 이들의 무게를 향상시키기 위해서는 어떻게 환경요인들을 관리해야 되는 가를 알 수 있는 재배방법을 유도하였다.

Onion yield estimation using spatial panel regression model (공간 패널 회귀모형을 이용한 양파 생산량 추정)

  • Choi, Sungchun;Baek, Jangsun
    • The Korean Journal of Applied Statistics
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    • v.29 no.5
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    • pp.873-885
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    • 2016
  • Onions are grown in a few specific regions of Korea that depend on the climate and the regional characteristic of the production area. Therefore, when onion yields are to be estimated, it is reasonable to use a statistical model in which both the climate and the region are considered simultaneously. In this paper, using a spatial panel regression model, we predicted onion yields with the different weather conditions of the regions. We used the spatial auto regressive (SAR) model that reflects the spatial lag, and panel data of several climate variables for 13 main onion production areas from 2006 to 2015. The spatial weight matrix was considered for the model by the threshold value method and the nearest neighbor method, respectively. Autocorrelation was detected to be significant for the best fitted model using the nearest neighbor method. The random effects model was chosen by the Hausman test, and the significant climate variables of the model were the cumulative duration time of sunshine (January), the average relative humidity (April), the average minimum temperature (June), and the cumulative precipitation (November).

Development of Garlic & Onion Yield Prediction Model on Major Cultivation Regions Considering MODIS NDVI and Meteorological Elements (MODIS NDVI와 기상요인을 고려한 마늘·양파 주산단지 단수예측 모형 개발)

  • Na, Sang-il;Park, Chan-won;So, Kyu-ho;Park, Jae-moon;Lee, Kyung-do
    • Korean Journal of Remote Sensing
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    • v.33 no.5_2
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    • pp.647-659
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    • 2017
  • Garlic and onion are grown in major cultivation regions that depend on the crop condition and the meteorology of the production area. Therefore, when yields are to be predicted, it is reasonable to use a statistical model in which both the crop and the meteorological elements are considered. In this paper, using a multiple linear regression model, we predicted garlic and onion yields in major cultivation regions. We used the MODIS NDVI that reflects the crop conditions, and six meteorological elements for 7 major cultivation regions from 2006 to 2015. The multiple linear regression models were suggested by using stepwise regression in the extraction of independent variables. As a result, the MODIS NDVI in February was chosen the significant independent variable of the garlic and onion yield prediction model. In the case of meteorological elements, the garlic yield prediction model were the mean temperature (March), the rainfall (November, March), the relative humidity (April), and the duration time of sunshine (April, May). Also, the rainfall (November), the duration time of sunshine (January), the relative humidity (April), and the minimum temperature (June) were chosen among the variables as the significant meteorological elements of the onion yield prediction model. MODIS NDVI and meteorological elements in the model explain 84.4%, 75.9% of the garlic and onion with a root mean square error (RMSE) of 42.57 kg/10a, 340.29 kg/10a. These lead to the result that the characteristics of variations in garlic and onion growth according to MODIS NDVI and other meteorological elements were well reflected in the model.

The effect of onion on hyperlipidemia: Meta-analysis (양파의 고지혈증 효과에 대한 메타분석)

  • Choi, Kiheon
    • Journal of the Korean Data and Information Science Society
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    • v.23 no.6
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    • pp.1103-1115
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    • 2012
  • In this study, we studied the effect of onion on hyperlipidemia in terms of factors, such as body weight, liver weight, kidney weight, heart weight, blood glucose, total cholesterol, triglycerides, HDL-cholesterol, and LDL-cholesterol. The hyperlipidemia supplement was significantly effective on the liver weight, kidney weight, blood glucose, total cholesterol, triglycerides, and LDL-cholesterol with the fixed effect model. However, the liver weight, blood glucose, total cholesterol, and triglycerides were significantly decreased with the random effect model on the heterogeneous factors selected by Galbraith plot. The existence of publication bias was checked by using a funnel plot.

A Causality Analysis of the different types of onion prices (주요산지 양파 작형별 가격간 인과관계 분석)

  • Yang, Jin-Suk;Kim, Bae-Sung;Kim, Hwa-Nyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.2
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    • pp.440-447
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    • 2020
  • The purpose of this study is to identify the causation and variation among the various types of onion prices in the major production sites to predict these prices. The Granger causal relationship was tested on the basis of VECM by setting the onion price of the early, middle, and late species as individual variables. The analysis shows that the amount of onions produced in the prior term affects the price of onions for the later period, while garlic in the substitution relationship with onions also affects the prices of onions for the early and middle-variety. On the other hand, the price of the late-variety is affected by the price of the early-variety, and the price of the middle-variety is also affected by the price of the early-variety. If the price of onions on Jeju changes due to other factors, the prices of onions in Jeollanam-do and Gyeongsangnam-do provinces will be affected. Accordingly, when the production of late-variety increases or decreases in production under any factor and to promote stability of the prices of middle and late-variety through preemptive supply and demand measures when the prices of ultra-breed onions rise or fall due to any factor (Ed- I cannot understand this last sentence and cannot guess at the correct meaning. Please try to rewrite very simply).

Construction of Onion Sentiment Dictionary using Cluster Analysis (군집분석을 이용한 양파 감성사전 구축)

  • Oh, Seungwon;Kim, Min Soo
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.2917-2932
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    • 2018
  • Many researches are accomplished as a result of the efforts of developing the production predicting model to solve the supply imbalance of onions which are vegetables very closely related to Korean food. But considering the possibility of storing onions, it is very difficult to solve the supply imbalance of onions only with predicting the production. So, this paper's purpose is trying to build a sentiment dictionary to predict the price of onions by using the internet articles which include the informations about the production of onions and various factors of the price, and these articles are very easy to access on our daily lives. Articles about onions are from 2012 to 2016, using TF-IDF for comparing with four kinds of TF-IDFs through the documents classification of wholesale prices of onions. As a result of classifying the positive/negative words for price by k-means clustering, DBSCAN (density based spatial cluster application with noise) clustering, GMM (Gaussian mixture model) clustering which are partitional clustering, GMM clustering is composed with three meaningful dictionaries. To compare the reasonability of these built dictionary, applying classified articles about the rise and drop of the price on logistic regression, and it shows 85.7% accuracy.

The basic theoretical research for a practice of university faculty member's teaching reflection (대학교수의 수업성찰 실천을 위한 이론적 기초 탐구)

  • Keum, Hye-Jin
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.57-63
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    • 2016
  • The purpose of this study is to draw implications about a practice of university faculty member's teaching reflection by considering the concept, process, and content of reflection as a theoretical basis of teaching reflection. The concept of reflection is based upon 'reflection-in-action' suggested by $Sch{\ddot{o}}n$, and the process and content of reflection is explained through Korthagen's Core Reflection model. The following three implications conclude: First, a faculty member should write a reflection journal by observing and reflecting consistently one's own behavior in a context of teaching. Second, the center for teaching and learning should provide an orientation and consultation about the content and process of teaching reflection. Finally, sharing lessons with the colleague faculty member is required to make an effective reflection for each faculty member.

Optimal Extraction Conditions of Flavonoids from Onion Peels via Response Surface Methodology (양파껍질로부터 Flavonoid 물질의 추출조건 최적화)

  • Jeon, Seon-Young;Baek, Jeong-Hwa;Jeong, Eun-Jeong;Cha, Yong-Jun
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.41 no.5
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    • pp.695-699
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    • 2012
  • The objective of this study was to set the optimal extraction condition of flavonoids from onion peels as a by-product generated from the onion industry without suitable processing. Four independent variables, affecting extraction conditions, which are solvent concentration ($X_1$), extraction temperature ($X_2$), pH of the solvent ($X_3$), and solvent ratio to onion peel ($X_4$) were optimized using response surface methodology (RSM). A model equation obtained from RSM is 0.772 of R-square and 0.278 of lack of fit (p>0.05) for the optimal extraction conditions. From the ridge analysis, the conditions flavoring the highest extraction were solvent concentration (v/v) of 70%, extraction temperature of $40^{\circ}C$, extraction solvent pH of 5.3, and a solvent ratio to onion peel ratio of 1:63 (w/v). The flavonoid content obtained under optimal conditions showed 302.63 mg/g, which is 1.12 times higher than the prediction value.

A Study on Onion Wholesale Price Forecasting Model (양파 출하시기 도매가격 예측모형 연구)

  • Nam, Kuk-Hyun;Choe, Young-Chan
    • Journal of Agricultural Extension & Community Development
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    • v.22 no.4
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    • pp.423-434
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    • 2015
  • This paper predicts the onion's cultivation areas, yields per unit area, and wholesale prices during ship dates by using wholesale price data from the Korea Agro-Fisheries & Food Trade Corporation, the production data from the Statistics Korea, and the weather data from the Korea Meteorological Administration with an ARDL model. By analyzing the data of wholesale price, rural household income and rural total earnings, onion cultivation areas in 2015 are estimated to be 21,035, 17,774 and 20,557(ha). In addition, onion yields per unit area of South Jeolla Province, North Gyeongsang Province, South Gyeongsang Province, Jeju Island, and the whole country in 2015 are estimated to be 5,980, 6,493, 6,543, 6,614, 6,139 (kg/10a) respectively. By using onion production's predictive value found from onion's cultivation areas and yields per unit area in 2015, the onion's wholesale prices in June are estimated to be 780 won, 1,100 won, and 820 won for each model. Predicted monthly price after the onion's ship dates is analyzed to exceed 1,000 won after August.

Motions of Semi-submersible Drilling Rigs in Deep Water (Semi-submersible 석유시추선(石油試錐船)(부체해양구조물(浮體海洋構造物))의 운동(運動) -계산방법(計算方法), 해석(解析) 및 응용(應用))

  • Jin-S.,Chung
    • Bulletin of the Society of Naval Architects of Korea
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    • v.11 no.2
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    • pp.23-40
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    • 1974
  • Semisubmersible 해양석유시추선의 기본설계에 필요한 파랑중(波浪中)에서 운동(運動)을 계산(計算)하는 이론적방법(理論的方法)을 제시하고 "MOHOLE"과 "SEDCO 1350-F" 석유시추선들의 운동(運動)을 해석하였다. 이 규칙파에서 운동계산을 불규칙해양파(波)에 적용하는 응용해석을 보여주었다. 현재 이론적 방법으로는 6자유도(自由度)의 운동을 해양파의 어떤 방향에 대해서도 정확히 계산할 수 있으며 계산의 정확성은 수조(水槽)에서의 모형선의 운동측정치와 실선(實船)의 운동측정치와 비교하여 증명되었다. 또 현재의 방법은 종전에 개발된 방법보다 더 일반적(一般的)인 경우를 다룰 수 있으며 결과치도 더 정확하다. 극소운동특성을 갖는 해양석유시추선과 부체(浮體)해양구조물의 설계는 경비가 비싸고 시간이 많이 드는 모형실험보다는 유체역학적(流體力學的) Parameters를 신속 정확히 자주 변경 검토해야 하는 기본설계단계에서는 정확한 이론적인 전자계산기에 의한 계산방법이 절실히 필요하다. 예상(豫想)과 같은 부가질량(附加質量)과 감쇠력(減衰力)은 Resonance 운동주기에서만 운동에 영향을 준다. 해양구조물에 작용하는 파력(波力)은 Froude-Krilov force, 부가질량(附加質量) 및 감쇠력(減衰力)과 Restoring force로 구성했으며 규칙파(規則波)에서의 6자유도(自由度) 운동방정식은 본 논문에 제시된 실험측정치(値)와 실험으로 정확도가 증명된 이론치(値)의 부가질량과 감쇠력 계수(係數)를 써서 풀었다. 규칙파(規則波)에서의 계산된 운동을 Pierson Moskowitz 해양파(海洋波) 스펙트럼과 linear superposition principle에 의해 불규칙해양파(不規則海洋波)에서의 운동을 계산하는데 사용했다. 불규칙파(不規則波)에서의 운동은 운동스펙트럼과 통계적 운동치로 나타냈다. 현재의 계산방법은 실제 기본설게에 사용되어 왔으며, 다른 응용분야는 파랑중(波浪中)에서의 파면(波面)과 Deck간(間)의 Clearance, 계류선(係留線)의 동장력(動張力)계산의 기본 Data 및 기본설계의 Draft 등 Parameters를 통(通)한 Optimum Design 등(等)이다. 파(波)의 한 방향(方向)에 대(對)한 전자계산기(電子計算機)(IBM 370 또는 CDC 6400)에 의한 운동계산은 10초(秒)미만밖에 안걸린다. 또 현재의 계산방법은 해양석유시추선뿐 아니라 이와 비슷한 부체(浮體)해양구조물과 Pipe-laying선(船) 또 Supply Boat설계(設計)에도 쓰여지고 있다.

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