scholarly journals REGRESSION ANALYSIS OF ERRORS OF SAR-BASED DEMS AND CONTROLLING FACTORS

2021 ◽  
Vol XLIII-B5-2021 ◽  
pp. 51-57
Author(s):  
Y. Y. Wu ◽  
H. Ren
Keyword(s):  
Regression Analysis ◽  
Standard Error ◽  
Surface Deformation ◽  
Linear Regression Analysis ◽  
Three Dimensional ◽  
Related Factors ◽  
Low Coherence ◽  
Digital Elevation ◽  
Sar Imagery ◽  
The Relationship

Abstract. Interferometric Synthetic Aperture Radar (InSAR) has been well developed for several decades and is known for its powerful capability of retrieving three-dimensional ground information from SAR imagery. One of the most important application of InSAR technique is topographic mapping. The technique is limited when confronting certain poor conditions which lead to low coherence. In this research, we aim at investigating the relationship between SAR-based digital elevation models (DEMs) and related factors that contribute to the error budget by conducting a linear regression analysis. The surface deformation in line of sight (LOS) direction and the amount of integral refractivity change over two acquisition events are considered as two related factors. Eight pairs of Sentinel-1 images were selected to conduct InSAR processing over Chaiyi City of Taiwan, and SNAP software was used to generate SAR-based DEMs. The coherence mask was applied during the InSAR workflow in order to alleviate unwrapping error. The result has shown that the coherence thresholds help to improve the accuracy by up to 52.61%. Since some large errors were observed from the resulting InSAR-DEMs, these points were removed based on standard error. In regression analysis, there were 15 set of data, categorized by different coherence threshold and data removal standard, to test the model. As the result has shown, when the coherence threshold is 0.3 and the points were filtered with half standard error, the R2 can achieve 0.85. However, the rest of the dataset did not produce desirable results. In our discussion, we have provided several reasons which might have contributed to this outcome.

Study on the relationship between SAR-based digital elevation models and water vapor contents and surface deformation

2021 ◽  
Author(s):  
Yen-Yi Wu ◽  
Hsuan Ren
Keyword(s):  
Water Vapor ◽  
Prediction Models ◽  
Surface Deformation ◽  
Weather Prediction ◽  
Linear Regression Analysis ◽  
Sar Interferometry ◽  
Phase Gradient ◽  
Area Of Interest ◽  
Digital Elevation ◽  
The Relationship

<p>Synthetic Aperture Radar (SAR) Interferometry (InSAR) is a powerful tool in radar remote sensing. However, due to the unavoidable inherent limits of the SAR mechanism, there are different challenges to be tackled based on the user’s aim of use. Common issues that have been discussed in the application of topography mapping are temporal decorrelation, surface deformation, atmospheric disturbance, and phase unwrapping problems. These difficulties expose the quality of the final DEM products under high risks, depending on the selection of InSAR image pairs and the environment of area of interest. In this research, we are aiming at investigating the relationship between the SAR-based digital elevation model (DEM) and the related factors which contribute to the error budget. This research will allow InSAR technique users to obtain a better understanding of the severity of errors that were induced by the factors. Furthermore, by knowing which factor degrades the InSAR-generated DEMs the most, one could accordingly apply appropriate methods to reduce the error.</p><p>In this research, eight pairs of Sentinel-1A images are used. They are characterized by a 12-day temporal baseline and over 90 meters of perpendicular baseline. The conventional InSAR processing workflow is conducted in each pair. In the post-processing stage, phase gradient removal is applied in order to mitigate unwrapping problems. Surface deformation and water vapor variation are chosen as two factors that introduce errors in InSAR DEM. GPS data are collected to obtain deformation information, and atmospheric water vapor data are collected by weather prediction models. Finally, the multiple linear regression analysis is applied in order to find out the relationship between SAR-based DEM and the selected factors.</p>

The Influences of Palindromes in mRNA on Protein Folding Rates

2020 ◽  
Vol 27 (4) ◽  
pp. 303-312 ◽  
Author(s):  
Ruifang Li ◽  
Hong Li ◽  
Sarula Yang ◽  
Xue Feng
Keyword(s):  
Protein Folding ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Folding Rate ◽  
Folding Rates ◽  
Negative Linear Correlation ◽  
Protein Folding Rate ◽  
The Relationship ◽  
Structure Environment

Background: It is currently believed that protein folding rates are influenced by protein structure, environment and temperature, amino acid sequence and so on. We have been working for long to determine whether and in what ways mRNA affects the protein folding rate. A large number of palindromes aroused our attention in our previous research. Whether these palindromes do have important influences on protein folding rates and what’s the mechanism? Very few related studies are focused on these problems. Objective: In this article, our motivation is to find out if palindromes have important influences on protein folding rates and what’s the mechanism. Method: In this article, the parameters of the palindromes were defined and calculated, the linear regression analysis between the values of each parameter and the experimental protein folding rates were done. Furthermore, to compare the results of different kinds of proteins, proteins were classified into the two-state proteins and the multi-state proteins. For the two kinds of proteins, the above linear regression analysis were performed respectively. Results : Protein folding rates were negatively correlated to the palindrome frequencies for all proteins. An extremely significant negative linear correlation appeared in the relationship between palindrome densities and protein folding rates. And the repeatedly used bases by different palindromes simultaneously have an important effect on the relationship between palindrome density and protein folding rate. Conclusion: The palindromes have important influences on protein folding rates, and the repeatedly used bases in different palindromes simultaneously play a key role in influencing the protein folding rates.

scholarly journals HUBUNGAN PERSEPSI TENTANG PROFESI FISIOTERAPI DENGAN MOTIVASI BELAJAR MAHASISWA AKADEMI FISIOTERAPI UKI

2018 ◽  
Vol 10 (3) ◽  
pp. 226
Author(s):  
Maksimus Bisa
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Correlation Coefficient ◽  
Linear Regression Analysis ◽  
Motivation To Learn ◽  
Simple Linear Regression ◽  
Level 1 ◽  
Relationship Of ◽  
The Relationship

ABSTRACTThis study is descriptive analitik, aims to describe the relationship of perceptions about the physiotherapy profession with the motivation to learn students of the Academy of Physiotherapy UKI. Data collection through questionnaires to students of Physiotherapy Academy UKI level 1, 2, and 3 with a sample of 53 students, then give a score of each statement of questionnaire.The result of correlation analysis shows that p = 0,584> α (0,05) ho is accepted, so there is no significant relationship between the two variables. To measure the closeness and intensity of the relationship between the two variables, test of correlation coefficient and simple linear regression. The result of correlation coefficient test (r) obtained by -0,077, lies below the value of -0.30 (very weak) thus can be said there is no relation between perception about physiotherapy profession with motivation learn student Akfis UKI. Result of linear regression analysis obtained equation: Y = 73,52 + (-0,088) X. This means that every 1 point decrease of perception value will influence motivation value equal to 0,088 times.Keywords: Perception, motivation, physiotherapy profession, and learning achievement. ABSTRAKPenelitian ini bersifat deskriptif analitik, bertujuan untuk mendeskripsikan hubungan persepsi tentang profesi fisioterapi dengan motivasi belajar siswa Akademi Fisioterapi UKI. Pengumpulan data melalui kuesioner kepada siswa Fisioterapi Academy UKI tingkat 1, 2, dan 3 dengan sampel sebanyak 53 siswa, kemudian memberikan skor masing-masing kuesioner pernyataan. Hasil analisis korelasi menunjukkan bahwa p = 0,584> α (0,05) ho diterima, sehingga tidak ada hubungan yang signifikan antara kedua variabel tersebut. Untuk mengukur kedekatan dan intensitas hubungan antara kedua variabel tersebut, uji koefisien korelasi dan regresi linier sederhana. Hasil uji koefisien korelasi (r) diperoleh sebesar -0,077, berada di bawah nilai -0,30 (sangat lemah) sehingga dapat dikatakan tidak ada hubungan antara persepsi tentang profesi fisioterapi dengan motivasi belajar siswa Akfis UKI. Hasil analisis regresi linier diperoleh persamaan: Y = 73,52 + (-0,088) X. Artinya setiap 1 titik penurunan nilai persepsi akan mempengaruhi nilai motivasi sebesar 0,088 kali.Kata kunci: Persepsi, motivasi, profesi fisioterapi, dan prestasi belajar.

scholarly journals The Influence of the Application of Marketing Mix on the Purchase Decision of Prospective Consumers of Grand Cempaka Housing

2020 ◽  
Author(s):  
Gesang Sudrajad ◽  
J.E Sutanto
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Quantitative Methods ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Marketing Mix ◽  
Marketing Strategies ◽  
Purchase Decision ◽  
Relationship Of ◽  
The Relationship

The purpose of this study was to examine the effect of simultaneous and partial marketing mix on the purchase decision of prospective consumers of Grand Cempaka Housing.This research uses quantitative methods, and is a survey research from the types of explanatory research whose focus is placed on relational research: studying the relationship of variables. The object of research is the residents of Pasuruan City and the sample in this study is the Prospective Consumer of Grand Cempaka Housing. Data analysis uses multiple linear regression analysis methods.The results of the analysis show that Products, Prices, Places and Promotions simultaneously have a significant effect on the Decision of Purchasing Prospective Consumers of Grand Cempaka Housing. This shows that the marketing mix is one of the marketing strategies that should be considered so that the implementation of the marketing strategy can run successfully because the elements in the marketing mix influence each other. Variables in the marketing mix which include Products, Prices, Places and Promotions partially have a significant effect on the Decision of Purchasing Prospective Consumers of Grand Cempaka Housing. Keywords: marketing mix; purchase decision; property; housing

scholarly journals ANALISIS PENDAPATAN MASYARAKAT PELADANG DI KAWASAN PERBATASAN KABUPATEN KAPUAS HULU KALIMANTAN BARAT

2019 ◽  
Vol 7 (4) ◽  
Author(s):  
Yuli Widyawati ◽  
Emi Roslinda
Keyword(s):  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Family Members ◽  
Working Hours ◽  
Survey Method ◽  
Net Income ◽  
Land Area ◽  
Farmer Income ◽  
The Relationship ◽  
Planting Season

Shifting cultivation is an activity that cannot be separated from the community around the border of Kapuas Hulu Regency. Various factors influence the income of farmers. The aims of  this research was to determine the income of rice farming on farmers and the relationship between income and the land area, the number of family members working in the fields and the number of working hours. Data was collected for two months from March 2016 until May 2016 at the study site through interviews with 97 families who were deliberately selected based on certain criteria. The method used in this study is a survey method with interviews using questionnaires. The collected data analyzed using associative descriptive analysis and multiple linear regression analysis. The results showed that the average net income obtained by farmers is Rp. 2,379,917.76 / respondent / planting season. If the labor wage costs are calculated, the farmer's income becomes Rp. -4,181,680,186 / respondent / planting season due to pest attacks. The results of the regression analysis show the relationship between farmer income and the variable land area, the number of family members working in the field and the number of working hours simultaneously have a significant effect on farmer income. Partially, only the variable number of working hours has a significant effect on farmer income in the border area of  Kapuas Hulu Regency.Keywords: income, land area, working hours, family members, cultivators

The value of neutrophil-to-lymphocyte ratio as a marker of renal damage in patients with H-type hypertension

2021 ◽  
Author(s):  
Zhen-Ni Chen ◽  
Yi-Ran Huang ◽  
Xing Chen ◽  
Kun Liu ◽  
Si-Jin Li ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Renal Damage ◽  
Operating Characteristic ◽  
Estimated Glomerular Filtration Rate ◽  
Characteristic Curve ◽  
Linear Regression Analysis ◽  
Significant Negative Correlation ◽  
Neutrophil To Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
The Relationship

Aim: To explore the relationship between the neutrophil-to-lymphocyte ratio (NLR) and renal damage in patients with H-type hypertension. Materials & methods: A total of 618 patients between 2017 and 2019 were analyzed retrospectively. Results: NLR was significantly correlated with renal damage in hypertension patients. Appropriate cut-off value for NLR (2.247) was determined by receiver operating characteristic curve; linear regression analysis showed that NLR and estimated glomerular filtration rate, blood urea nitrogen/creatinine has a significant negative correlation in H-type hypertension group (p < 0.05); logistic regression analysis showed that the risk of renal damage increased by 10% for each 1 umol/l increase of homocysteine, and 51% for each 1.0 increase of NLR in H-type hypertension patients. Conclusion: NLR worth popularizing in prediction of renal damage in patients with H-type hypertension.

Pengaruh Promosi terhadap Penjualan Polis Asuransi Syariah

2020 ◽  
Vol 3 (2) ◽  
pp. 144-152
Author(s):  
Ermayanis Ermayanis ◽  
Nurse Fatimah MZ
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Quantitative Methods ◽  
Linear Regression Analysis ◽  
Insurance Companies ◽  
Simple Linear Regression ◽  
Insurance Policy ◽  
Insurance Policies ◽  
Islamic Insurance ◽  
The Relationship

This study aimed to determine the effect of promotion on the sales of Islamic insurance policies at PT. Asuransi Takaful Keluarga RO Riau Agency Pekanbaru. This research was motivated by the development of Islamic insurance companies both in terms of assets and in terms of company contributions that have an impact on insurance policy sales. The formulation of the problem in this study was to determine the effect of the relationship promotion on insurance policy sales. This research used quantitative methods with simple linear regression analysis. The sample in this study was 49 respondents. Based on the results of the partial test (t-test), the tcount was 1.391 <t-table 2.016, so the promotion had no significant effect on the variable sales of the insurance policy of PT. Asuransi Takaful Keluarga RO Riau Pekanbaru. The regression results showed that the promotion variable does not affect sales.

The relationship between transformational leadership and job satisfaction in selected colleges at King Khalid University, Abha, Saudi Arabia

2019 ◽  
Author(s):  
Esther Iriagbonse Eroje ◽  
Erasmus Kofi Appiah ◽  
Alezi Braimoh Ifindon Eroje ◽  
MEER ZAKIRULLA ◽  
Jimly James Kunjappu ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Transformational Leadership ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Leadership Behaviour ◽  
R Value ◽  
The Relationship

Abstract Background Leadership has become the key issues in managing the organization, the emerging business and economic environments have forced organizations to be flexible, adaptive, entrepreneurial and innovative to meet changing demand of the present-day business environment. The purpose of the present study is to examine the relationship between the various dimensions of transformational leadership (predictor variable) and their effects on employees’ job satisfaction (criterion variable) in three selected Colleges (Medicine, Dentistry and Science) in King Khalid University. Methods The methodology employed in this study was a quantitative and cross-sectional correlational survey type of design Data collection was done using a questionnaire design that was directly administered to the participants. 250 questionnaires were sent to the participating three colleges (Medicine, Dentistry and Sciences). Results The findings of the multiple linear regression analysis indicated a weak positive association between transformational leadership behaviour and employees’ job satisfaction (R-value 0.386). The multiple linear regression analysis signifies a weak positive correlation between transformational leadership behaviour and job satisfaction (R-value 0.386). A p-value in Spearman’s rho that is less than the 0.05 level of significance indicated that there is a significant level of relationship which exists between transformational leadership behaviour and job satisfaction. Conclusions This study concluded that transformational leadership behaviour and its four dimensions showed a weak positive correlation with a statistically significant level of relationship between transformational leadership behaviour and employees’ job satisfaction among three selected colleges (Medicine, Dentistry and Sciences) in King Khalid University, Abha, Saudi Arabia.

The Impact of Adopting CSR on the Firm's Overall Performance

2021 ◽  
pp. 239-255
Author(s):  
Abdelmajid Ibenrissoul ◽  
Khawla Bouraqqadi ◽  
Souhaila Kammoun
Keyword(s):  
Developing Countries ◽  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Social Dimensions ◽  
The Social ◽  
Managerial Implications ◽  
Overall Performance ◽  
The Impact ◽  
The Relationship

The purpose of the chapter is to study what effect CSR has on firms' overall performance in a developing country context. While most of the previous empirical researches focused on the relationship between CSR and financial performance, the present study suggests exploring the impact of CSR on overall performance which encompasses economic, environmental, and social dimensions as well as stakeholders. The empirical study aims to analyze and measure the social and environmental involvement of large Moroccan firms operating in the main sectors of activity and located in different geographical areas. Using multiple linear regression analysis, the authors empirically test the impact of CSR on overall performance on a sample of 44 companies. The main findings reveal that CSR is a driver for improving image and reputation, enabling the firm to achieve overall corporate performance. On the basis of the main results, they set out some managerial implications and further directions for CSR research in developing countries.

Sign in / Sign up

Export Citation Format

Share Document