• Title/Summary/Keyword: Non Linear Regression

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Analysis of Complex Forced Raleigh Scattering Decay Profiles for the Diffusion of Methyl Yellow in Binary Solution

  • 박하선;성정문;이현정;장태현;Daniel R. Spiegal
    • Bulletin of the Korean Chemical Society
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    • v.18 no.9
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    • pp.1006-1010
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    • 1997
  • The nature and analysis methods of complicated decay profiles found in forced Rayleigh scattering (FRS) have been investigated for the probe diffusion of methyl yellow in 2-propanol. The complementary shifted and ground state grating effect, which is known to be the origin of non-single exponential decays, was analyzed by non-linear regression fitting to a double exponential model function. We confirmed that the parameters were highly correlated so that it was difficult to extract a unique set of parameters in the presence of experimental noise. Nevertheless, a reasonable range of decay time constants could be estimated from the grating spacing dependence.

Incremental Face Annotation for Open Web Service (개방형 웹 서버스를 위한 증가적 얼굴 어노테이션)

  • Chai, Kwon-Taeg;Byun, Hye-Ran
    • Journal of KIISE:Software and Applications
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    • v.36 no.8
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    • pp.673-682
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    • 2009
  • Recently, photo sharing and publishing based Social Network Sites(SNSs) are increasingly attracting the attention of academic and industry researches. Unlike the face recognition environment addressed by existing works, face annotation problem under SNSs is differentiated in terms of daily updated images database, a limited number of training set and millions of users. Thus, conventional approach may not deal with these problems. In this paper, we proposed a face annotation method for sharing and publishing photographs that contain faces under a social network service using random projection, non-linear regression and representational state transfer. Our experiments on several databases show that the proposed method records an almost constant execution time with comparable accuracy of the PCA-SVM classifier.

A Study on Failure Frequency Model for Risk Analysis of Natural Gas Pipeline with Comparison of Overseas Failure Data (국외 천연가스 배관 사고 빈도 비교 및 분석 모형에 관한 연구)

  • Oh, Shin-Kyu
    • Journal of the Korean Institute of Gas
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    • v.18 no.3
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    • pp.60-66
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    • 2014
  • In this study, the overseas failure frequency data of the high-pressure gas pipeline were investigated to apply QRA of high-pressure gas pipeline. The typical overseas failure frequency data of high-pressure gas pipeline are DOT of United States, EGIG of Europe, and UKOPA of United Kingdom (UK). Comparative analysis of these data was shown that EGIG data was suitable for the situation in Korea. In order to apply QRA of high-pressure gas pipeline, non-linear regression analysis using the failure frequency data in the report of EGIG 8th was performed. In the future, intensive researches are required for the external interference because about 50% of the failure frequency of all incidents is the external interference, and for combining of domestic and overseas data.

Cyclic AMP Receptor Protein Adopts the Highly Stable Conformation at Millimolar cAMP Concentration (높은 cAMP 농도에서 cAMP 수용성 단백질의 열 안정화)

  • Kang, Jong-Baek;Choi, Young
    • Journal of Life Science
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    • v.13 no.5
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    • pp.751-755
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    • 2003
  • Cyclic AMP receptor proteins(CRP) activate many genes in Escherichia coli by binding of cAMP with not fully known mechanism. CRP existed as apo-CRP in the absence of cAMP, $CRP;(cAMP)_2$$_2$ at low(micromolar) cAMP concentration, or $CRP;(cAMP)_4$ at high(millimolar) concentration of cAMP. This study is designed to measure the thermal stability of S83G CRP, which substituted glycine for serine at amino acid 83 position, with CD spectrapolarimeter at 222nm by the constant elevation of temperature from $20^{\circ]C\; to\; 90^{\circ}C\; at\; 1^{\circ}C/min$. The non-linear regression analysis showed that melting temperatures were 68.4, 72.0, and $82.3^{\circ}C$ for no cAMP, 0.1mM cAMP, and 5mM cAMP, respectively. Result showed the strong thermal stability of CRP by binding of additional cAMP molecules to region between the hinge region and helix-turn-helix(HTH) motif at 5mM cAMP concentration.

Investigation of bar parameters occurred by cross-shore sediment transport

  • Demirci, Mustafa;Akoz, M. Sami
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.5 no.2
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    • pp.277-286
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    • 2013
  • Cross-shore sediment transport is very important factor in the design of coastal structures, and the beach profile is mainly affected by a number of parameters, such as wave height and period, beach slope, and the material properties of the bed. In this study cross-shore sediment movement was investigated using a physical model and various offshore bar geometric parameters were determined by the resultant erosion profile. The experiments on cross- shore sediment transport carried out in a laboratory wave channel for initial base slopes of 1/8, 1/10 and 1/15. Using the regular waves with different deep-water wave steepness generated by a pedal-type wave generator, the geometrical of sediment transport rate and considerable characteristics of beach profiles under storm conditions and bar parameters affecting on-off shore sediment transport are investigated for the beach materials with the medium diameter of $d_{50}$=0.25, 0.32, 0.45, 0.62 and 0.80 mm. Non-dimensional equations were obtained by using linear and non-linear regression methods through the experimental data and were compared with previously developed equations in the literature. The results have shown that the experimental data fitted well to the proposed equations with respect to the previously developed equations.

Inter-vehicular Distance Estimation Scheme Based on VLC using Image Sensor and LED Tail Lamps in Moving Situation (후미등의 가시광통신을 이용한 이동상황에서의 영상센서 기반 차량 간 거리 추정 기법)

  • Yun, Soo-Keun;Jeon, Hui-Jin;Kim, Byung Wook;Jung, Sung-Yoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.6
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    • pp.935-941
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    • 2017
  • This paper proposes a method for estimating the distance betweeen vehicles in a moving situation using the image ratio of the distance between the tail lamps of a front vehicle. The actual distance between the tail lamps of a front vehicle was transmitted by LED tail lamps using visible light communication. As the distance between the front vehicle and the rear vehicle changes, it calculates the ratio of the pixel width between the tail lamps of the front vehicle projected on the image. The calculated values are used to derive a distance-mapping function through non-linear regression technique. Then, the distance between vehicles in the moving situation is estimated based on this function.

The Role of Central Bank Rate on Credit Gap in Indonesia: A Smooth Transition Regression Approach

  • SUHENDRA, Indra;ANWAR, Cep Jandi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.833-840
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    • 2021
  • This paper examines the effect of the interest rate set by Bank Indonesia on financial system stability as measured by the credit gap in Indonesia for quarterly data for the period 1976 Q1 to 2019 Q4. We suppose that the relationship between the Central Bank rate and the credit gap is non-linear. Hence, this study applies a smooth transition regression (STR) model to investigate the relationship between these variables. Our results are: first, by performing STR estimation we obtained a threshold level of Central Bank rate of 2.01. Second, a decrease in the Central Bank rate results in a reduction in the credit gap when the Central Bank rate is above or below the threshold level. The effect of the Central Bank rate is five times greater for the high regime than for the low regime. Third, we find evidence that the effect of the exchange rate, economic growth, inflation, and GDP per capita on the credit gap for the high regime is the opposite of the low regime. We suggest that policymakers need to keep the Central Bank interest rate low and stable so that the role of the bank as a financial intermediary remains stable and conducive to strengthening financial stability.

Study of the Non-linear Relationships between Watershed Land Use and Biological Indicators of Streams - The Han River Basin - (유역 토지이용과 하천 생물지수의 비선형적 관계 연구 - 한강권역을 대상으로 -)

  • Park, Se-Rin;Lee, Jong-Won;Park, Yu-Jin;Lee, Sang-Woo
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.25 no.2
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    • pp.55-67
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    • 2022
  • Land use is a critical factor that affects the hydrological characteristics of watersheds, thereby determining the biological condition of streams. This study analyzes the effects of land uses in the watersheds on biological indicators of streams across the Han River basin using a linear model (LM) and generalized additive model (GAM). LULC and biological monitoring data of streams were obtained from the Korean Ministry of Environment. The proportions of urban, agricultural, and forest areas in the watersheds were regressed to the three biological indicators, including diatom, benthic macroinvertebrate, and fish of streams. The estimated LM and GAM models for the biological indicators were then compared, using regression determination R2 and AIC values. The results revealed that GAM models performed better than the LM models in explaining the variances of biological indicators of streams, indicating the non-linear relationships between biological indicators and land uses in watersheds. Also, the results suggested that the indicator of macroinvertebrates was the most sensitive indicator to land uses in watersheds. Although non-linear relationships between watershed land uses and biological indicators of streams could vary among biological indicators, it was consistent that streams' biological integrity significantly deteriorated by a relatively low percentage of urban areas. Meanwhile, biological indicators of streams were negatively affected by the relatively high percentage of agricultural areas. The results of this study can be integrated into effective quantitative criteria for the watershed management and land use plans to enhance the biological integrity of streams. In specific, land uses management plans in watersheds may need more close attention to urban land use changes than agricultural land uses to sustain the biological integrity of streams.

Strengthening Causal Inference in Studies using Non-experimental Data: An Application of Propensity Score and Instrumental Variable Methods (비실험자료를 이용한 연구에서 인과적 추론의 강화: 성향점수와 도구변수 방법의 적용)

  • Kim, Myoung-Hee;Do, Young-Kyung
    • Journal of Preventive Medicine and Public Health
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    • v.40 no.6
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    • pp.495-504
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    • 2007
  • Objectives : This study attempts to show how studies using non-experimental data can strengthen causal inferences by applying propensity score and instrumental variable methods based on the counterfactual framework. For illustrative purposes, we examine the effect of having private health insurance on the probability of experiencing at least one hospital admission in the previous year. Methods : Using data from the 4th wave of the Korea Labor and Income Panel Study, we compared the results obtained using propensity score and instrumental variable methods with those from conventional logistic and linear regression models, respectively. Results : While conventional multiple regression analyses fail to identify the effect, the results estimated using propensity score and instrumental variable methods suggest that having private health insurance has positive and statistically significant effects on hospital admission. Conclusions : This study demonstrates that propensity score and instrumental variable methods provide potentially useful alternatives to conventional regression approaches in making causal inferences using non-experimental data.

Kinetic Modeling for Quality Prediction During Kimchi Fermentation

  • Chung, Hae-Kyung;Yeo, Kyung-Mok;Kim, Nyung-Hwan
    • Preventive Nutrition and Food Science
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    • v.1 no.1
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    • pp.41-45
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    • 1996
  • This study was conducted to develop the fermentation kinetic model for the prediction of acidity and pH changes in Kimchi as a function of fermentation temperatures. The fitness of the model was evaluated using traditional two-step method and an alternative non-linear regression method. The changes in acidity and pH during fermentation followed the pattern of the first order reaction of a two-step method. As the fermentation temperature increased from 4$^{\circ}C$ to 28, the reaction rates of acidity and pH were increased 8.4 and 7.6 times, respectively. The activation energies of acidity and pH were 16.125 and 16.003kcal/mole. The average activation energies of acidity and pH using a non-linear method were 16.006 by the first order and 15.813 kcal/mole by the zero order, respectively. The non-linear procedure had better fitting 개 experimental data of the acidity and pH than two-step method. The shelf-lives based on the time to reach the 1.0% of acidity were 33.1day at 4$^{\circ}C$ and 2.8 day 28$^{\circ}C$.

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