• Title/Summary/Keyword: logistic regression equation

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Comparison of Models to Describe Growth of Green Algae Chlorella vulgaris for Nutrient Removal from Piggery Wastewater (양돈폐수의 영양염류 제거를 위한 녹조류 Chlorella vulgaris 성장 모형의 비교)

  • Lim, Byung-Ran;Jutidamrongphan, Warangkana;Park, Ki-Young
    • Journal of The Korean Society of Agricultural Engineers
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    • v.52 no.6
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    • pp.19-26
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    • 2010
  • Batch experiments were conducted to investigate growth and nutrient removal performance of microalgae Chlorella vulgaris by using piggery wastewater in different concentration of pollutants and the common growth models (logistic, Gompertz and Richards) were applied to compare microalgal growth parameters. Removal of nitrogen (N) and phosphorus (P) by Chlorella vulgaris showed correlation with biomass increase, implying nutrient uptake coupled with microalgae growth. The higher the levels of suspended solids (SS), COD and ammonia nitrogen were in the wastewater, the worse growth of Chlorella vulgaris was observed, showing the occurrence of growth inhibition in higher concentration of those pollutants. The growth parameters were estimated by non-linear regression of three growth curves for comparative analyses. Determination of growth parameters were more accurate with population as a variable than the logarithm of population in terms of R square. Richards model represented better fit comparing with logistic and Gompertz model. However, Richards model showed some complexity and sensitivity in calculation. In the cases tested, both logistic and Gompertz equation were proper to describe the growth of microalgae on piggery wastewater as well as easy to application.

Modeling for Prediction of the Turnip Mosaic Virus (TuMV) Progress of Chinese Cabbage (배추 순무모자이크바이러스(TuMV)병 진전도 예측모형식 작성)

  • 안재훈;함영일
    • Korean Journal Plant Pathology
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    • v.14 no.2
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    • pp.150-156
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    • 1998
  • To develop a model for prediction of turnip mosaic virus(TuMV) disease progress of Chinese cabbage based on weather information and number of TuMV vector aphids trapped in Taegwallyeong alpine area, data were statistically processed together. As the variables influenced on TuMV disease progress, cumulative portion(CPT) above 13$^{\circ}C$ in daily average temperature was the most significant, and solar radiation, duration of sunshine, vector aphids and cumulative temperature above $0^{\circ}C$ were significant. When logistic model and Gompertz model were compared by detemining goodness of fit for TuMV disease progress using CPT as independent variable, regression coefficient was higher in the logistic model than in the Gompertz model. Epidemic parameters, apparent infection rate and initial value of logistic model, were estimated by examining the relationship between disease proportion linearized by logit transformation equation, In(Y/Yf-Y) and CPT. Models able to describe the progression of TuMV disease were formulated in Y=100/(1+128.4 exp(-0.013.CPT.(-1(1/(1+66.7.exp(-0.11.day). Calculated disease progress from the model was in good agreement with investigated actual disease progress showing high significance of the coefficient of determination with 0.710.

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Prediction of Breastfeeding Intentions and Behaviors : An Application of the Theory of Planned Behavior (계획된 행위 이론을 적용한 모유수유의지 및 행위의 예측요인 분석)

  • 김혜숙;남은숙
    • Journal of Korean Academy of Nursing
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    • v.27 no.4
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    • pp.796-806
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    • 1997
  • The majority of studies on breastfeeding consists of descriptive correlational studies identifying the incidence and correlates of breastfeeding. The theory of planned behavior has been shown to yield great predictive power for behavioral goals over which individuals have only limited control such as improving school grades and weight loss. The purpose of this study was to test the "theory of planned behavior" in the prediction of breastfeeding of mothers who delivered vaginally, One hundred mothers who delivered vaginally in one general hospital in Seoul and one general hospital and three private hospitals in Taejeon participated in this study. The instruments used for data collection in this study were developed by the researchers following the guidelines suggested by Ajzen & Fishbein(1980) and Ajzen & Madden(1986). The instruments included measurement of attitude, subjective norm, perceived behavioral control and intention. The collected data were analyzed using descriptive statistics, Pearson product moment correlation, hierachical multiple regression and logistic regression. The results are as follows ; 1. Intention to breastfeed correlated significantly with attitude, subjective norm and perceived behavioral control. Both attitude and subjective norm did not make a significant contribution to the prediction of intention, but the addition of perceived behavioral control to the regression equation greatly improved the model's predictive power, increasing the R²from .05 to .52. 2. Intention to breastfeed alone had a significant predictive effect on actual breastfeeding, resulting in a regression coefficient of .16(X²=8 60, p<.01), but when perceived behavioral control was added to the equation, intention was not a significant predictive variable and only perceived behavioral control showed significant predictive power on actual breastfeeding, resulting in a regression coefficient of .12(X²=4.69, p<.05). In sum, breastfeeding behavior lent only partial support to the second version of the theory of planned behavior, and because perceived behavioral control had a strong effect on intention to breastfeed and actual breastfeeding, It would be desirable to develop nursing intervention programs which focus on strengthening the perceived behavioral control for the promotion of breastfeeding.

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A Technique of Statistical Message Filtering for Blocking Spam Message (통계적 기법을 이용한 스팸메시지 필터링 기법)

  • Kim, Seongyoon;Cha, Taesoo;Park, Jeawon;Choi, Jaehyun;Lee, Namyong
    • Journal of Information Technology Services
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    • v.13 no.3
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    • pp.299-308
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    • 2014
  • Due to indiscriminately received spam messages on information society, spam messages cause damages not only to person but also to our community. Nowadays a lot of spam filtering techniques, such as blocking characters, are studied actively. Most of these studies are content-based spam filtering technologies through machine learning.. Because of a spam message transmission techniques are being developed, spammers have to send spam messages using term spamming techniques. Spam messages tend to include number of nouns, using repeated words and inserting special characters between words in a sentence. In this paper, considering three features, SPSS statistical program were used in parameterization and we derive the equation. And then, based on this equation we measured the performance of classification of spam messages. The study compared with previous studies FP-rate in terms of further minimizing the cost of product was confirmed to show an excellent performance.

A Study on the Competitiveness Improvement of Coastal Shipping for Northeast Asia Logistics-Hub (동북아(東北亞) 물류거점화(物流據點化)를 위한 연안해운(沿岸海運) 경쟁력(競爭力) 제고방안(提高方案)에 관(關)한 연구(硏究))

  • Lee, Yon-Jae;Ahn, Ki-Myung;Kim, Kwang-Hee;Kim, Hyun-Duk
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.29 no.1
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    • pp.441-449
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    • 2005
  • The purpose of this research is to present the improvement measure of lagging behind coastal shipping system to be a logistic hub-nation with a competitive edge. For this purpose, this research tries to find out major northeast asia environment factors and accordingly the effects of its. The effects of coastal shipping system's development strategy is analysed by structural equation model and multiple regression model. Research results show that three types of coastal shipping developing strategy(connected transportation system, structure of coastal shipping system, governmental support policy) will contribute much to be logistic hub-nation. The contribution effects is increasing cargo from strengthened feeder transport system and maximizing logistic service &minimizing logistic costs. From the result, some implications are derived as follow. First, familiar environmental balanced ocean-coastal transport system is required. Second the one-stop logistic service system is necessary to build excusive feeder port, and to establish Ro-Ro ship & high-speed ship, etc.. Third, governmental support policy and subsidy(tax exempted oil & various tax benefits) are required to bring up lagging behind coastal shipping system to be a logistic hub-nation with a competitive edge.

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Analysis of Ground Subsidence Influencing Factors Using Underground Facility Property Information (지하매설물 속성정보를 활용한 지반함몰 영향인자 분석)

  • Jaemo Kang;Sungyeol Lee;Jinyoung Kim;Myeongsik Kong
    • Journal of the Korean GEO-environmental Society
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    • v.25 no.1
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    • pp.5-11
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    • 2024
  • Ground subsidence mainly occurs in urban areas with high population density, so it is necessary to clearly identify the cause of occurrence and prepare in advance. The main cause of ground subsidence is reported to be the creation of cavities in the ground due to damage to underground pipes, but the property information and influencing factors of underground pipes to predict and prepare for ground subsidence are not properly established. Therefore, in this study, factors showing a significant correlation with the occurrence of ground subsidence were selected among the underground facility property information and a regression equation was proposed through logistic regression analysis. For this purpose, data on underground structures and ground subsidence history information in the target area were collected, and the target area was divided into girds of 100m x 100m in size using QGIS. The underground facility attribute information and ground subsidence history information contained within the gird were extracted. Then, preprocessing was performed to construct a dataset and correlation analysis was performed. As a result, factors excluding the year of sewer pipes and communication pipes and the average depth of communication pipes, heat pipes, and gas pipes were found to have a significant correlation with ground subsidence. In addition, a regression equation for whether ground subsidence occurred in the target area is proposed through logistic regression analysis.

A Predictors of Exercise Participation in Rheumatoid Arthritis Patients (류마티스 관절염 환자의 운동참여 예측요인)

  • Lim, Nan-Young;Yi, Yeo-Jin
    • Journal of muscle and joint health
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    • v.8 no.1
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    • pp.51-64
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    • 2001
  • The purposes of this study were to examine and to predict the affecting factors on exercise participation of Rheumatoid arthritis Patients. The subjects were 161 adult out-patients who visited the hospital for rheumatic disease in H-university. Data were composed of self-reported questionnaire. The conceptual model of this study consisted of that personal characters(age, marriage, education, income), situational characters(pain intensity, fatigue, IADL, depression), behavioral characters(formerly exercise behavior, life-style), and cognitive-perceptional characters(perceived health status, perceived benefit, perceived barrier, perceived self-efficacy) affected directly to exercise participation. Logistic regression analysis was applied for testing model of this study. The results were as follows : 1. Personal characters(education), situational characters(pain intensity), behavioral characters(formerly exercise behavior, life-style), and cognitive characters(perceived barrier, perceived self-efficacy) were significant difference between current exercise participants(127subjects) and non-exercise participants(34). 2. Personal characters(income), situational characters(pain intensity), behavioral characters(life-style), and cognitive-perceptional characters(perceived barrier, perceived self-efficacy) were correlated to exercise participation. 3. Formerly exercise behavior, perceived barrier, and perceived self-efficacy were significant predictor of exercise participation. The logistic equation predicted overall 81.94% of this study subjects 161.

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Impact of Increased Supply of Newly Licensed Nurses on Hospital Nurse Staffing and Policy Implications (신규면허간호사 공급량 증가가 의료기관 간호사 확보수준에 미친 영향과 정책적 함의)

  • Kim, Yunmi;You, Sunju;Kim, Jinhyun
    • Journal of Korean Academy of Nursing
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    • v.47 no.6
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    • pp.828-841
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    • 2017
  • Purpose: This study aimed to analyze the impact of increasing the supply of newly licensed nurses on improving the hospital nurse staffing grades for the period of 2009~2014. Methods: Using public administrative data, we analyzed the effect of newly licensed nurses on staffing in 1,594 hospitals using Generalized Estimating Equation (GEE) ordered logistic regression, and of supply variation on improving staffing grades in 1,042 hospitals using GEE logistic regression. Results: An increase of one newly licensed nurse per 100 beds in general units had significantly lower odds of improving staffing grades (grades 6~0 vs. 7) (odds ratio=0.95, p=.005). The supply of newly licensed nurses increased by 32% from 2009 to 2014, and proportion of hospitals whose staffing grade had improved, not changed, and worsened was 19.1%, 70.1%, and 10.8% respectively. Compared to 2009, the supply variation of newly licensed nurses in 2014 was not significantly related to the increased odds of improving staffing grades in the region (OR=1.02, p=.870). Conclusion: To achieve a balance in the regional supply and demand for hospital nurses, compliance with nurse staffing legislation and revisions in the nursing fee differentiation policy are needed. Rather than relying on increasing nurse supply, retention policies for new graduate nurses are required to build and sustain competent nurse workforce in the future.

A Study on Growth Pattern in a New Synthetic Korean Native Commercial Chicken by Sex and Strains (신품종 토종닭의 계통과 성별에 따른 성장 특성에 관한 연구)

  • Kigon, Kim;Eun Sik, Choi;See Hwan, Sohn
    • Korean Journal of Poultry Science
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    • v.49 no.4
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    • pp.229-237
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    • 2022
  • This study investigated the growth characteristics of four strains of newly developed synthetic Korean native commercial chickens (KNCs). We investigated a suitable growth curve model in KNCs and estimated the number of days to reach a 2 kg market weight. Body weight was measured at 2-week intervals from birth to 12 weeks of age. The growth curves were estimated using von Berteralanffy, Gompertz, and logistic functions. The results showed that males were significantly heavier than females at all ages, but there were no significant differences in body weight between strains, except at birth and 2 and 6 weeks of age. The coefficients of determination and adjusted determination of growth function had high goodness-of-fit (97.4~99.7). Of the growth curve parameters, the mature weight and growth ratio were higher in males than in females, but the maturity rate was similar in males and females. The inflection point occurred at approximately 7 weeks of age for females and 8 to 9 weeks of age for males. The weights estimated from the growth curve functions almost agreed with the actual weights, except for male weights estimated using the von Bertalanffy function. The coefficients of determination of the regression equations for weight to age were 0.9583 to 0.9746. The 8- and 10-week-old body weights estimated using the regression equation, and the 12-week-old weight estimated using the logistic function were most similar to the actual weight. Using these models, the estimated age of KNCs to reach 2 kg was 62.0~64.6 days for males and 74.9~78.6 days for females.

Studies on the Mathematical Analysis of Growth Kinetics in Tobacco (Nicotiana tabacum L. ) I. Growth Curve and Growth Velocity of Total Dry Weight. (담배의 생장반응에 관한 수리해석적 연구 I. 전건물중의 생장곡선과 생장속도)

  • 김용암;변주섭
    • Journal of the Korean Society of Tobacco Science
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    • v.3 no.2
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    • pp.109-114
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    • 1981
  • This experiment was conducted with three varieties (Hicks, Burley 21, Sohyang) and cropping systems (Improved mulching, Mulching, Non mulching) of NC 2326 to analyze growth kinetics by means of growth function involving its velocity and accelerated velocity. The basic growth data were obtained by harvest method at interval of ten days from transplanting to hundred days and analyzed by , regression equation, determinant of matrix, and differentiation. The plot of total dry weight of leaves, stalk and roots per a plant vs. time forms a sigmoid curve and its function fitted logistic satisfactorily. Tobacco plant grows at an accelerated velocity. And growth velocity, symmetric about an inflection point, is proportional to biomass attained and to the difference between biomass attained and the maximum, and to the decrease according to the biomass. Of varieties and cropping systems, the most maximum velocity was 9.58g per day per plant in mulching cultivation of NC 2326 and maximum accelerated velocity was 264mg per $day^2$ per plant in Burley 21.

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