MODELLING OF PERCEPTUAL GLOSS BY PHYSICAL MEASUREMENT OF FLAT SURFACE

2021 ◽  
Author(s):  
Shoma Amari ◽  
Midori Tanaka ◽  
Takahiko Horiuchi
Keyword(s):  
Flat Surface ◽  
Estimation Method ◽  
Image Features ◽  
Metal Plating ◽  
Distinctness Of Image ◽  
Physical Features ◽  
Magnitude Estimation Method ◽  
The Relationship ◽  
Physical Quantities ◽  
Simple Regression

While ‘physical gloss’ exists as a physically measurable index, people perceive a ‘perceptual gloss’ as gloss on object surfaces. However, the physical gloss does not always match the perceptual gloss. Thus, we analysed the relationship between physical features and perceptual gloss by measuring the physical properties of object surfaces, including physical gloss. For the experiment, we prepared 127 samples of flat objects that consisted of three materials: paper, resin, and metal plating. Perceptual gloss was visually evaluated using a magnitude estimation method. Plural measurements were conducted to obtain physical features such as gloss unit, haze, distinctness of image (DOI), luminance image features, and transmittance of the samples. Then, we constructed a prediction model of perceptual gloss using these physical features and perceptual gloss through multiple regression analysis. As a result, the prediction accuracy was improved by combining multiple physical quantities with simple regression, using only a gloss unit.

Theoretical, methodological and practical issues of choice models

2018 ◽  
Vol 1 (1) ◽  
pp. 21-37
Author(s):  
Bharat P. Bhatta
Keyword(s):  
Discrete Choice ◽  
Model Building ◽  
Estimation Method ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Decision Makers ◽  
Model Formulation ◽  
Random Utility Maximization ◽  
The Relationship ◽  
Method Model

This paper analyzes and synthesizes the fundamentals of discrete choice models. This paper alsodiscusses the basic concept and theory underlying the econometrics of discrete choice, specific choicemodels, estimation method, model building and tests, and applications of discrete choice models. Thiswork highlights the relationship between economic theory and discrete choice models: how economictheory contributes to choice modeling and vice versa. Keywords: Discrete choice models; Random utility maximization; Decision makers; Utility function;Model formulation

Using The Fully Modified M Method In Estimating The Effect Of Cultivated Area On Barley Production In Iraq For The Period 1970-2018

2020 ◽  
Vol 2020 (66) ◽  
pp. 101-110
Author(s):  
. Azhar Kadhim Jbarah ◽  
Prof Dr. Ahmed Shaker Mohammed
Keyword(s):  
Regression Model ◽  
Moving Average ◽  
Estimation Method ◽  
Estimation Methods ◽  
Autoregressive Moving Average ◽  
Moving Average Models ◽  
Error Terms ◽  
Relationship Of ◽  
The Relationship ◽  
Barley Crop

The research is concerned with estimating the effect of the cultivated area of barley crop on the production of that crop by estimating the regression model representing the relationship of these two variables. The results of the tests indicated that the time series of the response variable values is stationary and the series of values of the explanatory variable were nonstationary and that they were integrated of order one ( I(1) ), these tests also indicate that the random error terms are auto correlated and can be modeled according to the mixed autoregressive-moving average models ARMA(p,q), for these results we cannot use the classical estimation method to estimate our regression model, therefore, a fully modified M method was adopted, which is a robust estimation methods, The estimated results indicate a positive significant relation between the production of barley crop and cultivated area.

scholarly journals Estimation of resistance force at steady-state sinkage for cylindrical wheel-typed lunar/planetary exploration rovers with function of push–pull locomotion

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Daisuke Fujiwara ◽  
Naoki Tsujikawa ◽  
Tetsuya Oshima ◽  
Kojiro Iizuka
Keyword(s):  
Steady State ◽  
Estimation Method ◽  
Planetary Exploration ◽  
Experimental Result ◽  
Resistance Force ◽  
Estimation Model ◽  
Loose Soil ◽  
Key Factor ◽  
The Relationship ◽  
Resistance Forces

Abstract Planetary exploration rovers have required a high traveling performance to overcome obstacles such as loose soil and rocks. Push-pull locomotion rovers is a unique scheme, like an inchworm, and it has high traveling performance on loose soil. Push-pull locomotion uses the resistance force by keeping a locked-wheel related to the ground, whereas the conventional rotational traveling uses the shear force from loose soil. The locked-wheel is a key factor for traveling in the push-pull scheme. Understanding the sinking behavior and its resistance force is useful information for estimating the rover’s performance. Previous studies have reported the soil motion under the locked-wheel, the traction, and the traveling behavior of the rover. These studies were, however, limited to the investigation of the resistance force and amount of sinkage for the particular condition depending on the rover. Additionally, the locked-wheel sinks into the soil until it obtains the required force for supporting the other wheels’ motion. How the amount of sinkage and resistance forces are generated at different wheel sizes and mass of an individual wheel has remained unclear, and its estimation method hasn’t existed. This study, therefore, addresses the relationship between the sinkage and its resistance force, and we analyze and consider this relationship via the towing experiment and theoretical consideration. The results revealed that the sinkage reached a steady-state value and depended on the contact area and mass of each wheel, and the maximum resistance force also depends on this sinkage. Additionally, the estimation model did not capture the same trend as the experimental results when the wheel width changed, whereas, the model captured a relatively the same trend as the experimental result when the wheel mass and diameter changed.

scholarly journals Simple empirical method for estimating lava-effusion rate using nighttime Himawari-8 1.6-µm infrared images

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Takayuki Kaneko ◽  
Atsushi Yasuda ◽  
Toshitsugu Fujii
Keyword(s):  
Lava Flow ◽  
Estimation Method ◽  
Simulation Software ◽  
Spectral Radiance ◽  
Effusion Rate ◽  
Actual Distribution ◽  
High Positive Correlation ◽  
Low Viscosity ◽  
Lava Effusion ◽  
The Relationship

AbstractThe effusion rate of lava is one of the most important eruption parameters, as it is closely related to the migration process of magma underground and on the surface, such as changes in lava flow direction or formation of new effusing vents. Establishment of a continuous and rapid estimation method has been an issue in volcano research as well as disaster prevention planning. For effusive eruptions of low-viscosity lava, we examined the relationship between the nighttime spectral radiance in the 1.6-µm band of the Himawari-8 satellite (R1.6Mx: the pixel value showing the maximum radiance in the heat source area) and the effusion rate using data from the 2017 Nishinoshima activity. Our analysis confirmed that there was a high positive correlation between these two parameters. Based on the linear-regression equation obtained here (Y = 0.47X, where Y is an effusion rate of 106 m3 day−1 and X is an R1.6Mx of 106 W m−2 sr−1 m−1), we can estimate the lava-effusion rate from the observation data of Himawari-8 via a simple calculation. Data from the 2015 Raung activity—an effusive eruption of low-viscosity lava—were arranged along the extension of this regression line, which suggests that the relationship is applicable up to a level of ~ 2 × 106 m3 day−1. We applied this method to the December 2019 Nishinoshima activity and obtained an effusion rate of 0.50 × 106 m3 day−1 for the initial stage. We also calculated the effusion rate for the same period based on a topographic method, and verified that the obtained value, 0.48 × 106 m3 day−1, agreed with the estimation using the Himawari-8 data. Further, for Nishinoshima, we simulated the extent of hazard areas from the initial lava flow and compared cases using the effusion rate obtained here and the value corresponding to the average effusion rate for the 2013–2015 eruptions. The former distribution was close to the actual distribution, while the latter was much smaller. By combining this effusion-rate estimation method with real-time observations by Himawari-8 and lava-flow simulation software, we can build a rapid and precise prediction system for volcano hazard areas.

scholarly journals Experimental Evaluation of PSO Based Transfer Learning Method for Meteorological Visibility Estimation

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 828
Author(s):  
Wai Lun Lo ◽  
Henry Shu Hung Chung ◽  
Hong Fu
Keyword(s):  
Transfer Learning ◽  
Experimental Evaluation ◽  
Estimation Method ◽  
Image Features ◽  
Parameters Estimation ◽  
Image Feature ◽  
Support Vector ◽  
Learning Method ◽  
Feature Vectors ◽  
Visibility Estimation

Estimation of Meteorological visibility from image characteristics is a challenging problem in the research of meteorological parameters estimation. Meteorological visibility can be used to indicate the weather transparency and this indicator is important for transport safety. This paper summarizes the outcomes of the experimental evaluation of a Particle Swarm Optimization (PSO) based transfer learning method for meteorological visibility estimation method. This paper proposes a modified approach of the transfer learning method for visibility estimation by using PSO feature selection. Image data are collected at fixed location with fixed viewing angle. The database images were gone through a pre-processing step of gray-averaging so as to provide information of static landmark objects for automatic extraction of effective regions from images. Effective regions are then extracted from image database and the image features are then extracted from the Neural Network. Subset of Image features are selected based on the Particle Swarming Optimization (PSO) methods to obtain the image feature vectors for each effective sub-region. The image feature vectors are then used to estimate the visibilities of the images by using the Multiple Support Vector Regression (SVR) models. Experimental results show that the proposed method can give an accuracy more than 90% for visibility estimation and the proposed method is effective and robust.

scholarly journals Modern Market Customer Loyalty: Advertising Promotion Strategies

2019 ◽  
Vol 10 (2) ◽  
pp. 111
Author(s):  
Apri Budianto ◽  
Irma Damayanti Bastaman ◽  
Aulia Fauziyah
Keyword(s):  
Customer Loyalty ◽  
Customer Relationship ◽  
Analysis Tool ◽  
Promotion Strategy ◽  
Retail Business ◽  
Promotion Strategies ◽  
The Relationship ◽  
Simple Regression ◽  
Loyal Customers

This study is focused on the relationship between advertising promotion strategies and customer loyalty in the modern market. This study seeks to explain the advertising promotion strategy if successfully carried out by the modern market, with the hope of creating loyal customers. This research was conducted on modern market customers in Ciamis. Ciamis is one of the regions in Indonesia, which is the same as other regions there are several modern markets with a variety of character of its customers. The study is based on the statements of several experts, which explain the customer relationship with various retail business promotion strategies. The model used in this study as an analysis tool is simple regression to illustrate how the relationship between advertising promotion strategies and customer loyalty. The results obtained are that there is an influence of advertising promotion strategies on customer loyalty, with the magnitude of influence is 27.5%, while as many as 22.5% are influenced by other factors not examined in this study

scholarly journals Adherence to Ethical Standards of Scientific Research and its Relation to Creativity in Educational Researches in the light of Some Demographic Variables: Exploratory Study

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Bushra Ismail Ahmed Arnaout
Keyword(s):  
Exploratory Study ◽  
Demographic Variables ◽  
Ethical Standards ◽  
Strong Positive Correlation ◽  
Low Level ◽  
Simple Regression Analysis ◽  
Number Of Publications ◽  
The Relationship ◽  
Scientific Degree ◽  
Simple Regression

This study aimed to determine the level of adherence to the research ethical standards and research creativity in psychological and educational studies, and to identify the nature of the relationship between adherence to ethical standards and research creativity, as well as to identify the differences in both adherence to the research ethical standards and research creativity due to (gender, scientific degree, number of publications) variables. The researcher selected a random sample of (142) of the researchers in psychological and educational disciplines. There ages ranged between (26- 57) years. The researcher applied the scale of adherence to the research ethical standards and scale of research creativity, all of these tools prepared by the researcher. The results showed that there was a low level of adherence to the research ethical standards as well as low level of research creativity. Also there was a statistical significant strong positive correlation between adherence to research ethical standards and research creativity (R = 0.945), and also found statistically significant differences (0.01) among the average scores in adherence to the research adherence to ethical standards and research creativity due to gender (in favor of females), Scientific degree (in favor of doctoral and post-doctoral researchers), and the number of published researches (in favor of researchers who published more than 6 research and more who are publish more than Of 10 research). The results of the simple regression analysis also indicated that adherence to the research ethical standards is a statistical and powerful indicator of research creativity. The researcher explained the findings in light of the theoretical framework and previous studies, and developed a number of recommendations.

scholarly journals Dana Desa dan Status Desa di Provinsi Jawa Tengah

2020 ◽  
Vol 4 (2) ◽  
pp. 74-83
Author(s):  
Yulitasari Yulitasari ◽  
Wido Prananing Tyas
Keyword(s):  
Regression Analysis ◽  
Secondary Data ◽  
Descriptive Statistics ◽  
Central Java ◽  
The Relationship ◽  
Central Java Province ◽  
Simple Regression

Village Funds and Village Status in Central Java Province Year 2019 is the fifth year of implementation of village fund in Indonesia. At the beginning of its implementation in 2015, village funds were budgeted at IDR 20.8 trillion, which has increased to 3.5 times and reaching about IDR 70 trillion in 2019. This research is aimed to describe village funds and villages status in Central Java Province and the relationship between them. Data to be used are secondary data consisting of village funds and village status according to IDM year 2018 and 2019 in Central Java Province. The analyses used in this research are descriptive statistics and simple regression. Results show that village funds in Central Java Province increase about 14.7% in 2019 and there is an increase in the aggregate of village status. Regression analysis showed that changes in the amount of village funds did not significantly affect the change of village status in Central Java Province.

scholarly journals SISTEM PENGHARGAAN SEBAGAI VARIABEL MODERATING DALAM HUBUNGAN ANTARA GAYA KEPEMIMPINAN DAN KINERJA MANAJERIAL (STUDI PADA SUPERMARKET DI KOTA MATARAM)

GANEC SWARA ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 940
Author(s):  
SRI AYU FEBRIANTI ◽  
I GUSTI AYU OKA NETRAWATI ◽  
I GUSTI PUTU BAGUS SUASTINA
Keyword(s):  
Regression Analysis ◽  
Leadership Style ◽  
Sampling Technique ◽  
Reward System ◽  
Managerial Performance ◽  
Simple Regression Analysis ◽  
Relationship Of ◽  
The Relationship ◽  
Simple Regression

      The aim of this study is to analyzed the influence of leadership style on managerial performance and the reward system as the moderating variable that may affect the relationship of leadership style on managerial performance. The type of this research is associative. Respondents are managers and staff with the lowest level of supervisor in the entire supermarket in Mataram, as many as 66 respondents. Sampling technique is census. Using simple regression analysis and Moderated Regression Analysis (MRA) as analysis.      The results showed that leadership style negative significantly influence on managerial performance and the reward system influence negatively significant the relationship of leadership style on managerial performance.

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