scholarly journals Parameter Identifiability of Ship Manoeuvring Modeling Using System Identification

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Weilin Luo
Keyword(s):  
Regression Analysis ◽  
System Identification ◽  
Correlation Analysis ◽  
Parametric Modeling ◽  
Point Of View ◽  
Hydrodynamic Coefficients ◽  
Parameter Identifiability ◽  
Additional Signal ◽  
Ship Manoeuvring ◽  
Signal Method

To improve the feasibility of system identification in the prediction of ship manoeuvrability, several measures are presented to deal with the parameter identifiability in the parametric modeling of ship manoeuvring motion based on system identification. Drift of nonlinear hydrodynamic coefficients is explained from the point of view of regression analysis. To diminish the multicollinearity in a complicated manoeuvring model, difference method and additional signal method are employed to reconstruct the samples. Moreover, the structure of manoeuvring model is simplified based on correlation analysis. Manoeuvring simulation is performed to demonstrate the validity of the measures proposed.

scholarly journals Submarine Autopilot Performance Optimization with System Identification

2018 ◽  
Author(s):  
F Belanger ◽  
D Millan ◽  
X Cyril
Keyword(s):  
System Identification ◽  
Simulation Model ◽  
Performance Optimization ◽  
Full Scale ◽  
Hydrodynamic Coefficients ◽  
Scaled Model ◽  
Towing Tank ◽  
Ship Manoeuvring ◽  
Free Running ◽  
Motion Dynamics

Computer simulation models play a vital role in the assessment of a ship’s autopilot design. A well-tuned autopilot will contribute to reducing rudder activity, thereby minimizing wear on the actuation plant and also generally reducing fuel consumption. The equations that describe the ship motion dynamics contain a large number of hydrodynamic coefficients that must be calculated as accurately as possible to justify the use of a simulation model and its relevance to predicting the ship manoeuvring characteristics. Proper prediction of the ship performance is an essential pre-requisite in the process of tuning the autopilot. The hydrodynamic coefficients can be calculated by using theoretical methods or by carrying out experiments on the actual ship or on a scaled model of the ship. System Identification (SI) is an experiment-based approach and in this paper the authors present an algorithm that can estimate the coefficients with great accuracy. These coefficients can classically be obtained in a towing tank using a captive model, and with a planar motion mechanism and a rotating arm. Generally, these systems are costly and entail expensive trials programs, and SI methods have been developed in an effort to obviate some of those problems and limitations. They typically process ship manoeuvring data obtained from a free-running scaled model or full-scale trials. While similar to a surface ship, the motion dynamics of a submarine introduce additional challenges for SI methods. This is because the submarine manoeuvres in “three dimensions”, which adds complexity and more hydrodynamic coefficients to the equations. The standard submarine simulation model, also referred to as the Gertler and Hagen equations, incorporates over 120 coefficients. To calculated these coefficients, the SI algorithm uses a Square-Root Unscented Kalman filter (SR-UKF). One of its appealing features is that it calculates all the coefficients by processing data from a single submarine manoeuvre that has a repeating sinusoidal pattern in both depth and course. The manoeuvre can be performed in a towing tank by a free-running scaled model of the submarine, or it can be performed at sea on the full-scale submarine as part of the sea trials schedule.

scholarly journals Pengaruh I-Branding pada Website Binus University terhadap Loyalitas Pelanggan

2013 ◽  
Vol 4 (2) ◽  
pp. 1320
Author(s):  
Meyliana Meyliana ◽  
Henry Antonius E.W. ◽  
Stephen W. Santoso
Keyword(s):  
Information Technology ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Free Market ◽  
Educational Institution ◽  
Point Of View ◽  
Marketing Communication ◽  
Customer Perception ◽  
A Company ◽  
Students As Customers

Implementing an appropriate branding strategy supports a company in putting its product or service to be customers’ top of mind. Aligned with the development of information technology, especially the Internet, merging branding with internet (i-branding) creates a unique characteristic for a company. It is very helpful for a company in competing in the free market. Therefore, it is important for a company to know information about customer perception in assessing i-branding that has been applied to its website. As an educational institution which is a pioneer in the use of information technology, Binus University concerns much about its branding on the official website (www.binus.ac.id). This study is conducted to assess the i-branding of Binus University on the point of view of its students as customers. This study uses Four Pillars of i-branding consisting the following variables: customer understanding, marketing communication, interactivity, content, and customer loyalty consisting of trust and satisfaction. The hypothesis is tested by correlation analysis and regression analysis. Based on correlation analysis, all hypotheses of H1 (no relation) is received and based on regression analysis,all hypotheses of H1 (bring effects) is received.

İŞE BAĞLILIĞIN TÜKENMİŞLİK VE DEPRESYON DÜZEYLERİ ÜZERİNDEKİ ETKİLERİ: SAĞLIK ÇALIŞANLARI ÜZERİNDE BİR ARAŞTIRMA

2014 ◽  
Vol 1 (2) ◽  
pp. 206
Author(s):  
Haluk TANRIVERDİ ◽  
Mucize SARIHAN
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Health Workers ◽  
Personal Information ◽  
Depression Scale ◽  
Work Commitment ◽  
Statistical Software ◽  
Research Hospital ◽  
Training And Research

The main purpose of this study is to examine the effects of health workers’ levels of work commitment on the levels of depression and burnout.  Having this purpose in mind, a questionnaire consisting of personal information form, work commitment scale, burnout scale and depression scale was conducted with 266 health workers of İstanbul Kartal Training and Research Hospital in May 2013. Data obtained from questionnaires were analyzed by SPSS 17,0 statistical software. Correlation analysis was utilized in order to determine the relationships among work commitment, burnout and depression levels of health workers whereas regression analysis was utilized in order to determine the effects of health workers’ levels of work commitment on the levels of depression and burnout. According to the results, it has been found that there are statistically relevant relationships among work commitment, burnout and depression levels of health workers. It has been concluded that the more health workers’ levels of work commitment increase, their levels of depression and burnout decrease.

The Effects of Exercise Commitment Facilitated by Service Quality of Smartphone Exercise Applications on Continued Exercise Intention

2019 ◽  
Vol 118 (1) ◽  
pp. 14-19
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Service Quality ◽  
Frequency Analysis ◽  
Primary Data ◽  
Exercise Intention

Background/Objectives: The purpose of this study is to examine the effects of exercise commitment facilitated by service quality of smartphone exercise Apps on continued exercise intention and provide primary data for developing and/or improving smartphone exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted amongst college students who have experiences in using exercise App(s) and regularly exercise. The questionnaire is composed of four parts asking about service quality, exercise commitment, continued exercise intention, which were measured with a 5-point Likert Scale, and demographics. Frequency analysis, factor analysis, correlation analysis, and regression analysis were carried out to analyze the obtained data with PASW 18.0.

Analysis of variations in and correlations between selected physical parameters of common beech (Fagus silvatica L.) nuts

2017 ◽  
Vol 1 (21) ◽  
pp. 49-63
Author(s):  
Zdzisław Kaliniewicz ◽  
Piotr Markowski ◽  
Andrzej Anders ◽  
Paweł Tylek ◽  
Zbigniew Krzysiak ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Cross Sections ◽  
Linear Regression Analysis ◽  
Physical Parameters ◽  
Common Beech ◽  
Mesh Screen ◽  
Before And After ◽  
Fagus Silvatica ◽  
Highly Correlated

The basic dimensions and the mass of common beech nuts and seeds from five nut batches, harvested from tree stands in northern Poland, were determined. Environmental conditions had a greater influence on seed plumpness than the age of tree stands. The results of measurements were analyzed statistically by analysis of variance, correlation analysis and linear regression analysis. Despite differences in their plumpness, nuts were characterized by nearly identical cross-sections which resembled an equilateral triangle. The thickness of nuts and seeds was highly correlated with their mass, and this information can facilitate seed husking and separation into mass categories. Before and after husking, seeds should be separated with the use of a mesh screen with longitudinal openings. Medium-sized (most numerous) seeds were separated into the following plumpness categories using a screen separator with ≠6 mm and ≠7 mm openings: 84% of moderately plump seeds, 3% of seeds with reduced plumpness, and 13% of plump seeds.

scholarly journals Estimation of Outdoor PM2.5 Infiltration into Multifamily Homes Depending on Building Characteristics Using Regression Models

2021 ◽  
Vol 13 (10) ◽  
pp. 5708
Author(s):  
Bo-Ram Park ◽  
Ye-Seul Eom ◽  
Dong-Hee Choi ◽  
Dong-Hwa Kang
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Field Test ◽  
Outer Surface ◽  
Regression Models ◽  
Field Tests ◽  
Test Results ◽  
Correlation And Regression Analysis ◽  
Building Characteristics ◽  
Pm2.5 Concentration

The purpose of this study was to evaluate outdoor PM2.5 infiltration into multifamily homes according to the building characteristics using regression models. Field test results from 23 multifamily homes were analyzed to investigate the infiltration factor and building characteristics including floor area, volume, outer surface area, building age, and airtightness. Correlation and regression analysis were then conducted to identify the building factor that is most strongly associated with the infiltration of outdoor PM2.5. The field tests revealed that the average PM2.5 infiltration factor was 0.71 (±0.19). The correlation analysis of the building characteristics and PM2.5 infiltration factor revealed that building airtightness metrics (ACH50, ELA/FA, and NL) had a statistically significant (p < 0.05) positive correlation (r = 0.70, 0.69, and 0.68, respectively) with the infiltration factor. Following the correlation analysis, a regression model for predicting PM2.5 infiltration based on the ACH50 airtightness index was proposed. The study confirmed that the outdoor-origin PM2.5 concentration in highly leaky units could be up to 1.59 times higher than that in airtight units.

Pengaruh budaya organisasi, pengembangan karir dan self efficacy terhadap kinerja karyawan pada PT. Pos Padang

2021 ◽  
Vol 5 (3) ◽  
pp. 539
Author(s):  
Putri Azizi ◽  
Ai Elis Karlinda ◽  
Mardhatila Fitri Sopali
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Career Development ◽  
Data Collection ◽  
Correlation Analysis ◽  
Multiple Regression ◽  
Analytical Method ◽  
Self Efficacy ◽  
Employee Performance ◽  
Performance Development

This study aims to determine how much influence Organizational Culture, Career Development, and Self Efficacy have on Employee Performance. The analytical method used is correlation analysis and multiple regression. The method of data collection in this study is to use a questionnaire filled out by respondents, namely employees of PT. Padang Post. From the results of multiple regression analysis, it shows that: (a) organizational culture has a partially significant effect on employee performance, (b) career development has a partially significant effect on employee performance, (c) self-efficacy has a partially significant effect on employee performance development, (d) ) organizational culture, career development and self-efficacy together on career development, (e) the contribution of organizational culture, career development, and self-efficacy variables together on employee performance is 71.4% while the remaining 28.6 % influenced by other variables not examined in this study. 

Identification and Validation of a Seven m6A-related lncRNAs Signature Predicting Prognosis of Ovarian Cancer

2021 ◽  
Author(s):  
Yan Li ◽  
Xiaoying Wang ◽  
Yue Han ◽  
Xun Li
Keyword(s):  
Ovarian Cancer ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Prognostic Value ◽  
Cox Regression ◽  
Risk Group ◽  
Pearson Correlation ◽  
Regression Analyses ◽  
Cox Regression Analysis ◽  
Pearson Correlation Analysis

Abstract Background: Long non-coding RNAs (lncRNAs) play an important role in angiogenesis, immune response, inflammatory response and tumor development and metastasis. m6 A (N6 - methyladenosine) is one of the most common RNA modifications in eukaryotes. The aim of our research was to investigate the potential prognostic value of m6A-related lncRNAs in ovarian cancer (OC).Methods: The data we need for our research was downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Pearson correlation analysis between 21 m6A regulators and lncRNAs was performed to identify m6A-related lncRNAs. Univariate Cox regression analysis was implemented to screen for lncRNAs with prognostic value. A least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analyses was used to further reduct the lncRNAs with prognostic value and construct a m6A-related lncRNAs signature for predicting the prognosis of OC patients. Results: 275 m6A-related lncRNAs were obtained using pearson correlation analysis. 29 m6A-related lncRNAs with prognostic value was selected through univariate Cox regression analysis. Then, a seven m6A-related lncRNAs signature was identified by LASSO Cox regression. Each patient obtained a riskscore through multivariate Cox regression analyses and the patients were classified into high-and low-risk group using the median riskscore as a cutoff. Kaplan-Meier curve revealed that the patients in high-risk group have poor outcome. The receiver operating characteristic curve revealed that the predictive potential of the m6A-related lncRNAs signature for OC was powerful. The predictive potential of the m6A-related lncRNAs signature was successfully validated in the GSE9891, GSE26193 datasets and our clinical specimens. Multivariate analyses suggested that the m6A-related lncRNAs signature was an independent prognostic factor for OC patients. Moreover, a nomogram based on the expression level of the seven m6A-related lncRNAs was established to predict survival rate of patients with OC. Finally, a competing endogenous RNA (ceRNA) network associated with the seven m6A-related lncRNAs was constructed to understand the possible mechanisms of the m6A-related lncRNAs involed in the progression of OC.Conclusions: In conclusion, our research revealed that the m6A-related lncRNAs may affect the prognosis of OC patients and identified a seven m6A-related lncRNAs signature to predict the prognosis of OC patients.

THE EFFECT OF WORK EXPERIENCE, WORK ACHIEVEMENT, EDUCATION AND TRAINING ON CAREER DEVELOPMENT IN PT. PLN (PERSERO) KOTA PADANG RAYON KURANJI

2021 ◽  
Vol 5 (2) ◽  
pp. 523
Author(s):  
Ai Elis Karlinda ◽  
Putri Azizi ◽  
Mardhatila Fitri Sopali
Keyword(s):  
Regression Analysis ◽  
Career Development ◽  
Data Collection ◽  
Correlation Analysis ◽  
Multiple Regression ◽  
Work Experience ◽  
Work Performance ◽  
Education And Training ◽  
Collection Method ◽  
And Training

This study aims to determine how much influence the work experience, work performance, education and training have on the career development of employees at PT PLN (Persero) Rayon Kuranji, Padang City. The analytical method used is correlation analysis and multiple regression. The data collection method in this study is to use a questionnaire filled out by respondents, namely employees at PT PLN (Persero) Rayon Kuranji, Padang City. From the results of multiple regression analysis, it shows that: (a) work experience has a partially significant effect on career development, (b) work performance has a partially significant effect on career development, (c) education has a partially significant effect on career development, (d) training does not have a partially significant effect on career development, (e) work experience, work performance, education and training have a significant effect on career development together, (e) the contribution of variable work experience, work performance, education and training together The career development is 52.5%, while the remaining 47.5% is influenced by other variables not examined in this study.

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