scholarly journals Power countings versus physical scalings in disordered elastic systems—case study of the one-dimensional interface

2017 ◽  
Vol 50 (10) ◽  
pp. 104001 ◽  
Author(s):  
Elisabeth Agoritsas ◽  
Vivien Lecomte
Keyword(s):  
One Dimensional ◽  
Elastic Systems ◽  
The One

Revising the Kano model for designing an employee compensation system

2019 ◽  
Vol 32 (1) ◽  
pp. 78-91
Author(s):  
Hossein Vaez Shahrestani ◽  
Arash Shahin ◽  
Hadi Teimouri ◽  
Ali Shaemi Barzoki
Keyword(s):  
Design Methodology ◽  
Compensation System ◽  
Kano Model ◽  
Employee Compensation ◽  
Content Type ◽  
One Dimensional ◽  
Compensation Systems ◽  
Proposed Model ◽  
The One

Purpose The purpose of this paper is twofold: first, to revise the Kano model with a focus on one-dimensional attributes; and second, to use the revised model for categorizing and prioritizing various employee compensation strategies. Design/methodology/approach The Kano evaluation table has been revised and the one-dimensional attribute has been further extended to three categories of OO, OM and OA. In the next step, the literature review-based identified strategies have been categorized and prioritized according to the developed Kano model. Consequently, an employee compensation system has been proposed to a process-based manufacturing company as a case study. Findings Findings indicated that out of the 44 employee compensation strategies, typically 6 were must-be, 13 were one-dimensional, 18 were attractive and 7 were indifferent. Also, the results of the revised Kano model indicated that typically out of the 13 one-dimensional strategies, 7 were one-dimensional tending toward must-be (OM); and 6 were one-dimensional tending toward attractive (OA). Research limitations/implications The case study was limited to one company. The validity of the proposed model can be further studied in a larger population. This study provides managers with a more accurate instrument of decision making in selecting more differentiated employee compensation strategies, which, in turn, might lead to more employee satisfaction. Originality/value Theoretically, this study is different from existing studies, since almost none of the previous studies extended the Kano evaluation table for one-dimensional attributes. Practically, this study is another evidence of the application of the Kano model in the field of human resource management and in particular contributes to the design of employee compensation systems.

Air Temperature Distribution Inside of a Longitudinal Highway Tunnel: A Case Study

2012 ◽  
Vol 433-440 ◽  
pp. 6384-6389 ◽  
Author(s):  
Xing Han ◽  
Xu Zhang
Keyword(s):  
Steady State ◽  
Temperature Distribution ◽  
Air Temperature ◽  
State Theory ◽  
One Dimensional ◽  
Highway Tunnel ◽  
Temperature Enhancement ◽  
The One ◽  
General Method

With the development of tunneling technology and the increase of transportation, the mobiles are discharging more and more heat into the tunnel nowadays, which will cause the temperature enhancement. In this paper, general method of calculating the heat discharge is studied, and temperature distribution in the tunnels, which use different ventilation systems, is studied according to the one-dimensional steady state theory. One tunnel is taken for example to calculate the temperature distribution. The result can b e used in the relevant design and research.

scholarly journals Analysis of One-Dimensional Consolidation for Unsaturated Soils under Piecewise Cyclic Loading

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yuanchun Huang ◽  
Sidong Shen ◽  
Lei Wang ◽  
Tianyi Li ◽  
Xianlei Fu
Keyword(s):  
Cyclic Loading ◽  
Unsaturated Soils ◽  
Laplace Domain ◽  
One Dimensional ◽  
Ground Treatment ◽  
Parametric Studies ◽  
The One ◽  
Semianalytical Method ◽  
Excess Pore Pressures

This paper studies the one-dimensional (1D) consolidation behavior for unsaturated stratum subjected to piecewise cyclic loading. Combined with the widely accepted consolidation theory of unsaturated soils, a semianalytical method was employed to investigate the consolidation of unsaturated foundation considering piecewise cyclic loading in the Laplace domain. Furthermore, the reduced solutions were produced to perform the verification work accompanied by the results in the existing literature. Finally, a case study was conducted to explore the consolidation characteristics under piecewise cyclic loading (i.e., triangular and trapezoidal cyclic loadings). Parametric studies were carried out by variations of excess pore pressures and settlement against the ratio of air-water permeability coefficients, depth, and loading parameters. The research proposed in this paper can provide theoretical basis for the ground treatment of unsaturated soils, especially for rationally accelerating consolidation or avoiding sudden settlement.

scholarly journals One-Dimensional Convolutional Auto-Encoder for Predicting Furnace Blowback Events from Multivariate Time Series Process Data—A Case Study

Minerals ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1106
Author(s):  
Carl Daniel Theunissen ◽  
Steven Martin Bradshaw ◽  
Lidia Auret ◽  
Tobias Muller Louw
Keyword(s):  
Principal Component ◽  
Data Driven ◽  
Positive Pressure ◽  
Process Data ◽  
One Dimensional ◽  
Event Prediction ◽  
Hazardous Event ◽  
The One ◽  
Fully Connected

Modern industrial mining and mineral processing applications are characterized by large volumes of historical process data. Hazardous events occurring in these processes compromise process safety and therefore overall viability. These events are recorded in historical data and are often preceded by characteristic patterns. Reconstruction-based data-driven models are trained to reconstruct the characteristic patterns of hazardous event-preceding process data with minimal residuals, facilitating effective event prediction based on reconstruction residuals. This investigation evaluated one-dimensional convolutional auto-encoders as reconstruction-based data-driven models for predicting positive pressure events in industrial furnaces. A simple furnace model was used to generate dynamic multivariate process data with simulated positive pressure events to use as a case study. A one-dimensional convolutional auto-encoder was trained as a reconstruction-based model to recognize the data preceding the hazardous events, and its performance was evaluated by comparing it to a fully-connected auto-encoder as well as a principal component analysis reconstruction model. This investigation found that one-dimensional convolutional auto-encoders recognized event-preceding patterns with lower detection delays, higher specificities, and lower missed alarm rates, suggesting that the one-dimensional convolutional auto-encoder layout is superior to the fully connected auto-encoder layout for use as a reconstruction-based event prediction model. This investigation also found that the nonlinear auto-encoder models outperformed the linear principal component model investigated. While the one-dimensional auto-encoder was evaluated comparatively on a simulated furnace case study, the methodology used in this evaluation can be applied to industrial furnaces and other mineral processing applications. Further investigation using industrial data will allow for a view of the convolutional auto-encoder’s absolute performance as a reconstruction-based hazardous event prediction model.

The one dimensional Compartmentalised Knapsack Problem: A case study

2007 ◽  
Vol 183 (3) ◽  
pp. 1183-1195 ◽  
Author(s):  
Robinson Hoto ◽  
Marcos Arenales ◽  
Nelson Maculan
Keyword(s):  
Knapsack Problem ◽  
One Dimensional ◽  
The One

COMPUTING THE DISTRIBUTION OF THE LYAPUNOV EXPONENT FROM TIME SERIES: THE ONE-DIMENSIONAL CASE STUDY

1995 ◽  
Vol 05 (06) ◽  
pp. 1721-1726 ◽  
Author(s):  
DEJIAN LAI ◽  
GUANRONG CHEN
Keyword(s):  
Time Series ◽  
Monte Carlo ◽  
Lyapunov Exponent ◽  
Logistic Map ◽  
Observation Data ◽  
Block Bootstrap ◽  
One Dimensional ◽  
The One ◽  
True Values

In this paper, a simple and direct statistical method is proposed for estimating the Lyapunov exponent of an unknown dynamic system using its time series of observation data. It is shown that the asymptotic distribution of the estimates obtained from the proposed method is normal. Monte Carlo and block bootstrap methods are used to simulate the estimation for the logistic map, in which they both provide the expectation and variance for the estimates. Computer simulations show that our estimates are very close to the true values of the exponent for the logistic map with different parameters.

Exploring the Multidimensional Facets of Authoritarianism: Authoritarian Aggression and Social Dominance Orientation

2008 ◽  
Vol 67 (1) ◽  
pp. 51-60 ◽  
Author(s):  
Stefano Passini
Keyword(s):  
Social Dominance ◽  
Factor Model ◽  
Three Dimensional ◽  
Social Dominance Orientation ◽  
Model Fit ◽  
Regression Analyses ◽  
One Dimensional ◽  
Confirmatory Factor ◽  
The One ◽  
Better Than

The relation between authoritarianism and social dominance orientation was analyzed, with authoritarianism measured using a three-dimensional scale. The implicit multidimensional structure (authoritarian submission, conventionalism, authoritarian aggression) of Altemeyer’s (1981, 1988) conceptualization of authoritarianism is inconsistent with its one-dimensional methodological operationalization. The dimensionality of authoritarianism was investigated using confirmatory factor analysis in a sample of 713 university students. As hypothesized, the three-factor model fit the data significantly better than the one-factor model. Regression analyses revealed that only authoritarian aggression was related to social dominance orientation. That is, only intolerance of deviance was related to high social dominance, whereas submissiveness was not.

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