scholarly journals Bivariate Interpolation in Triangular Form

2020 ◽  
pp. 219-227
Author(s):  
Daw San San Nwe ◽  
Daw Hla Yin Moe ◽  
Daw Lin Lin Aye ◽  
Daw Zin Nwe Khaing
Keyword(s):  
Lagrange Interpolation ◽  
Interpolation Formula ◽  
Single Variable ◽  
Bivariate Interpolation ◽  
Triangular Form ◽  
Independent Variables ◽  
Lagrange Interpolation Formula ◽  
Independent Variable ◽  
Two Independent Variables

The purpose of this paper is to derive lagrange interpolation formula for a single variable and two independent variables in triangular form. Firstly, single variable interpolation is derived and then two independent variable interpolation derived in triangular form. In this paper, we derived the formula of three points of fit approximation, six points of fit approximation and ten points of fit approximation with their examples respectively. And also derived the approximation using a general triangular form of points with examples.

scholarly journals Bivariate Interpolation in Rectangular Form

2020 ◽  
pp. 329-335
Author(s):  
Daw San San Nwe ◽  
Daw Hla Yin Moe ◽  
Daw Zin Nwe Khaing
Keyword(s):  
Lagrange Interpolation ◽  
Interpolation Formula ◽  
Single Variable ◽  
Bivariate Interpolation ◽  
Independent Variables ◽  
Rectangular Form ◽  
Lagrange Interpolation Formula ◽  
Independent Variable ◽  
Two Independent Variables

The purpose of this paper is to derive lagrange interpolation formula for a single variable and two independent variables. Firstly, single variable interpolation is derived and then two independent variable interpolation derived. Some practical problems are computed by virtue of these interpolation formula.

Online viewers’ choices over advertisement number and duration

2020 ◽  
Vol 14 (2) ◽  
pp. 215-238
Author(s):  
Stephen Nettelhorst ◽  
Laura Brannon ◽  
Angela Rose ◽  
Whitney Whitaker
Keyword(s):  
Exposure Time ◽  
Design Methodology ◽  
Persuasive Messages ◽  
Content Type ◽  
Independent Variables ◽  
Research Designs ◽  
Total Exposure Time ◽  
Online Simulations ◽  
Independent Variable ◽  
Two Independent Variables

Purpose The purpose of this study is to investigate online viewers’ preferences concerning the number and duration of video advertisements to watch during commercial breaks. The goal of the investigations was to assess whether online viewers preferred watching a fewer number of advertisements with longer durations or a greater number of advertisements with shorter durations. Design/methodology/approach Two studies used experimental research designs to assess viewers’ preferences regarding advertisements. These designs used two independent variables and one dependent variable. The first independent variable manipulated the type of choice options given to online viewers (e.g. one 60 s or two 30 s advertisements). The second independent variable manipulated when the choice was given to online viewers (i.e. at the beginning of the viewing experience or in the middle of the experience). The dependent variable measured viewers’ choices concerning their preferred advertisement option. Findings The results across both studies found that participants made choices that minimized total advertisement exposure time when possible. When minimizing total exposure time was not possible, participants made choices that minimized the number of exposures instead. Originality/value These investigations extend the literature on advertisement choice by examining online viewers’ preferences about the format of their advertising experience rather than the content of the persuasive messages themselves. In addition, these investigations provide value by investigating viewers’ responses to stimuli within realistic online simulations rather than abstract hypotheticals.

An Investigation of the Effect of Latency on the Operator’s Trust and Performance for Manual Multi-robot Teleoperated Tasks

2017 ◽  
Vol 61 (1) ◽  
pp. 390-394 ◽  
Author(s):  
Hunter Rogers ◽  
Amro Khasawneh ◽  
Jeffery Bertrand ◽  
Kapil Chalil Madathil
Keyword(s):  
Confidence Level ◽  
Search And Rescue ◽  
The Other ◽  
Repeated Measure ◽  
Independent Variables ◽  
Subjective Workload ◽  
Dependent Variables ◽  
Independent Variable ◽  
And Performance ◽  
Two Independent Variables

Latency is an important factor when conducting teleoperated missions. This study investigates the effects of latency on a set of dependent variables: performance (measured by time and number of errors), subjective workload, trust, and usability. These measures were tested in a simulated search-and-rescue mission over two levels of two independent variables. One independent variable was the number of robots – one or two (within-subject), and the other independent variable was latency – simulations with and without latency (between-subject.) The significant effect of the independent variables on the dependent variables were checked using repeated measure two-way ANOVA with a confidence level of 95%. The data determined any significant effects that latency and/or the number of robots had on such factors as errors, dependability, reliability, harmful outcomes, temporal demand, and frustration.

Physiological Interaction, Its Mathematical Expression

Weed Science ◽  
1980 ◽  
Vol 28 (5) ◽  
pp. 573-579 ◽  
Author(s):  
Robert E. Drury
Keyword(s):  
Three Dimensional ◽  
Mathematical Expression ◽  
Continuous Functions ◽  
Fresh Weight ◽  
Regression Estimate ◽  
Independent Variables ◽  
Algebraic Expressions ◽  
Independent Variable ◽  
Two Parameter ◽  
Two Independent Variables

The concept of interaction arises in the context of continuous functions. Verbally, it is the action of one independent variable on the action of another, and vice versa, on a dependent variable. Quantitatively, it is the second partial derivative of a function with respect to two independent variables. Misconceptions have arisen from attempts to understand action and interaction in discrete terms. The algebraic expressions for the actions of diuron and phorate on the fresh weight of oats and their interaction were determined from the regression polynomial and plotted in three-dimensional graphs. Three other mutually incompatible methods of assessing interaction, namely, the Colby (with its modification, regression estimate), the two-parameter, and the topographical methods were evaluated.

scholarly journals KEPEMIMPINAN SITUASIONAL DAN KOMUNIKASI INTERPERSONAL DALAM MENINGKATKAN KOMITMEN GURU

2018 ◽  
Vol 6 (2) ◽  
pp. 607-616
Author(s):  
Heni Hikmayani Fauzia ◽  
Bibin Rubini ◽  
Widodo Sunaryo
Keyword(s):  
Organizational Commitment ◽  
Correlation Analysis ◽  
Interpersonal Communication ◽  
Random Sampling ◽  
Situational Leadership ◽  
West Java ◽  
Islamic School ◽  
Independent Variables ◽  
Independent Variable ◽  
Two Independent Variables

This research outlines the correlation between the headmasters situational leadership and interpersonal communication on organizational commitment. The research was conducted in private islamic school in the Sagaranten Sukabumi, West Java,Indonesia. Survey and data were conducted by applying regression and correlation analysis to test the correlation of two independent variables of situational leadership and interpersonal communication to one independent variable of organizational commitment. Tested on the level of confident of 0,05 and 0,01 to 109 teachers by using proportional random sampling, the result reveals that situational leadership can improve organizational commitment up to 18,75%, interpersonal communication contributes 10,47%. It can be inferred that organizational commitment can be enhanced through situational leadership and interpersonal communication.Keywords : Situasional Leadership, Interpersonal Communication , Organizational Commitment

scholarly journals Approximate Solution Technique for Singular Fredholm Integral Equations of the First Kind with Oscillatory Kernels

2019 ◽  
pp. 1-9
Author(s):  
Vivian Ndfutu Nfor ◽  
George Emese Okecka
Keyword(s):  
Approximate Solution ◽  
Integral Equations ◽  
Legendre Polynomials ◽  
Lagrange Interpolation ◽  
Interpolation Formula ◽  
Verification And Validation ◽  
Solution Technique ◽  
Fredholm Integral Equations ◽  
Lagrange Interpolation Formula ◽  
Interpolation Nodes

An efficient quadrature formula was developed for evaluating numerically certain singular Fredholm integral equations of the first kind with oscillatory trigonometric kernels.  The method is based on the Lagrange interpolation formula and the orthogonal polynomial considered are the Legendre polynomials whose zeros served as interpolation nodes. A test example was provided for the verification and validation of the rule developed. The results showed the convergence of the solution and can be improved by increasing n.

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