A Study on Characteristics of Watchface Design Type and Preference by Country -focused on MR TIME application-

2021 ◽  
Vol 22 (4) ◽  
pp. 303-314
Author(s):  
Kyoung Kook Chang
Keyword(s):  
Design Type

Meteorological Measurement Systems

2001 ◽  
Author(s):  
Fred V. Brock ◽  
Scott J. Richardson
Keyword(s):  
Dynamic Performance ◽  
Measurement Systems ◽  
Sensor Performance ◽  
Performance Specifications ◽  
Meteorological Measurement ◽  
Design Type ◽  
Static Sensitivity ◽  
And Function ◽  
Logical Functions ◽  
Source Of Error

This book treats instrumentation used in meteorological surface systems, both on the synoptic scale and the mesoscale, and the instrumentation used in upper air soundings. The text includes material on first- and second-order differential equations as applied to instrument dynamic performance, and required solutions are developed. Sensor physics are emphasized in order to explain how sensors work and to explore the strengths and weaknesses of each design type. The book is organized according to sensor type and function (temperature, humidity, and wind sensors, for example), though several unifying themes are developed for each sensor. Functional diagrams are used to portray sensors as a set of logical functions, and static sensitivity is derived from a sensor's transfer equation, focusing attention on sensor physics and on ways in which particular designs might be improved. Sensor performance specifications are explored, helping to compare various instruments and to tell users what to expect as a reasonable level of performance. Finally, the text examines the critical area of environmental exposure of instruments. In a well-designed, properly installed, and well-maintained meteorological measurement system, exposure problems are usually the largest source of error, making this chapter one of the most useful sections of the book.

Design and Analysis for Quantitative Research in Music Education

2018 ◽  
Author(s):  
Peter Miksza ◽  
Kenneth Elpus
Keyword(s):  
Education Research ◽  
Data Analysis ◽  
Music Education ◽  
General Education ◽  
Research Design ◽  
Quantitative Research ◽  
Traditional Design ◽  
Design Type ◽  
To Come ◽  
Analytical Approaches

This book is an introduction to quantitative research design and data analysis presented in the context of music education scholarship. The book aims for readers to come away with a familiarity of prototypical research design possibilities as well as a fundamental understanding of data analysis techniques necessary for carrying out scientific inquiry. The book includes examples that demonstrate how the methodological and statistical concepts presented throughout can be applied to pertinent issues in music education. For the majority of Part I, the strategy is to present traditional design categories side by side with explanations of general analytical approaches for dealing with data yielded from each respective design type. Part II consists of chapters devoted to methodological and analytical approaches that have become common in related fields (e.g., psychology, sociology, general education research, educational policy) but are as yet not frequently exploited by music education researchers. Ultimately, this work is motivated by a desire to help scholars acquire the means to actualize their research curiosities and to contribute to the advancement of rigor in music education research throughout the profession at large.

Stress analysis of finite orthotropic composite containing an elliptical hole

2021 ◽  
pp. 002199832110507
Author(s):  
Narin S. Fatima ◽  
Robert E. Rowlands
Keyword(s):  
Composite Structures ◽  
Elliptical Hole ◽  
External Loading ◽  
Finite Geometries ◽  
Orthotropic Composites ◽  
Numerical Tools ◽  
Design Type ◽  
Measured Displacement ◽  
Type Information ◽  
Important Design

Although the mechanical integrity of a member can be highly influenced by associated stresses, determining the latter can be very challenging for finite orthotropic composites containing cutouts. This is particularly so if the external loading is not well known, a common situation in practical situations. Acknowledging the above, a finite elliptically-perforated orthotropic tensile laminate is stress analyzed by combining measured displacement data with relevant analytical and numerical tools. Knowledge of the external loading is unnecessary. Results are verified independently and the concepts are applicable to other situations. The developed technology can provide important design-type information for orthotropic composites. In particular, the ability to apply analyses for perforated composite structures which assume infinite geometry to finite geometries is demonstrated.

Scaled Prediction Variances of Equiradial Design under Changing Design Sizes, Axial Distances and Center Runs

2021 ◽  
pp. 1-13
Author(s):  
Bartholomew, Desmond Chekwube ◽  
Obite, Chukwudi Paul ◽  
Ismaila-Cosmos Joan
Keyword(s):  
Model Comparison ◽  
Design Space ◽  
Optimality Criterion ◽  
Information Matrix ◽  
Axial Distance ◽  
Design Changes ◽  
Design Choice ◽  
Prediction Variance ◽  
Design Type ◽  
Scaled Prediction Variance

The aim of every design choice is to minimize the prediction error, especially at every location of the design space, thus, it is important to measure the error at all locations in the design space ranging from the design center (origin) to the perimeter (distance from the origin). The measure of the errors varies from one design type to another and considerably the distance from the design center. Since this measure is affected by design sizes, it is ideal to scale the variance for the purpose of model comparison. Therefore, we have employed the Scaled Prediction Variance and D – optimality criterion to check the behavior of equiradial designs and compare them under varying axial distances, design sizes and center points. The following similarities were observed: (i) increasing the design radius (axial distance) of an equiradial design changes the maximum determinant of the information matrix by five percent of the new axial distance (5% of 1.414 = 0.07) see Table 3. (ii) increasing the nc center runs  pushes the maximum  SPV(x) to the furthest distance from the design center (0  0) (iii) changing the design radius changes the location in the design region with maximum SPV(x) by a multiple of the change and (iv) changing the design radius also does not change the maximum  SPV(x) at different radial points and center runs . Based on the findings of this research, we therefore recommend consideration of equiradial designs with only two center runs in order to maximize the determinant of the information matrix and minimize the scaled prediction variances.

A Comparative Study of Data and Physically Based Gas Turbine Modeling for Long-Term Monitoring Scenarios: Part II — Emission Prediction Utilizing Different Levels of Design Information

2018 ◽  
Author(s):  
Moritz Lipperheide ◽  
Thomas Bexten ◽  
Manfred Wirsum ◽  
Martin Gassner ◽  
Stefano Bernero
Keyword(s):  
Gas Turbine ◽  
A Priori ◽  
Model Development ◽  
Fine Tuning ◽  
Plant Operator ◽  
Engine Model ◽  
Physically Based ◽  
Design Type ◽  
The Impact

Reliable engine and emission models allow for an online monitoring of commercial gas turbine operation and help the plant operator and the original equipment manufacturer (OEM) to ensure emission compliance of the aging engine. However, model development and validation require fine-tuning on the particular engines, which may differ in a fleet of a single design type by production, assembly and aging status. For this purpose, Artificial Neural Networks (ANN) offer a good and fast alternative to traditional physically-based engine modeling, because the model creation and adaption is merely an automatized process in commercially available software environments. However, ANN performance depends strongly on the availability of suitable data and a-priori data processing. The present work investigates the impact of specific engine information from the OEM’s design tools on ANN performance. As an alternative to a strictly data-based benchmark approach, engine characteristics were incorporated into ANNs by a pre-processing of the raw measurements with a simplified engine model. The resulting ‘virtual’ measurements, i.e. hot gas temperatures, then served as inputs to ANN training and application during long-term gas turbine operation. When processed input parameters were used for ANNs, overall long-term NOx prediction improved by 55%, and CO prediction by 16% in terms of RMSE, yielding comparable overall RMSE values to the physically-based model.

scholarly journals Methods for solving multicomponent distillation problems of design type at total reflux.

1986 ◽  
Vol 29 (5) ◽  
pp. 399-403
Author(s):  
Ikuho YAMADA ◽  
Hideki MORI ◽  
Setsuro HIRAOKA ◽  
Masanori KANDA ◽  
Hiroshi NIWA
Keyword(s):  
Multicomponent Distillation ◽  
Total Reflux ◽  
Design Type

scholarly journals Improving students’ mathematical logical intelligence through the online-based integration of local wisdom of Sulapa Eppa Walasuji

2021 ◽  
Vol 12 (2) ◽  
pp. 283-294
Author(s):  
A. Nurannisa F.A ◽  
Andi Muhammad Irfan Taufan Asfar ◽  
Andi Muhamad Iqbal Akbar Asfar ◽  
Adji Syaifullah
Keyword(s):  
Problem Solving ◽  
Effect Size ◽  
Mathematics Learning ◽  
Mathematical Problem ◽  
Real Life ◽  
Control Group ◽  
Control Group Design ◽  
Problem Solving Skills ◽  
Quasi Experimental ◽  
Design Type

Mathematical logical intelligence is one of the skills that are needed in the 21st century related to mathematical problem-solving skills. The importance of this skill is not in line with the facts on the ground, where students are still weak in counting and using logic in problem solving. The purpose of this research is to improve students’ mathematical logical intelligence through the online-based integration of local wisdom of Sulapa Eppa Walasuji. Sulapa Eppa Walasuji is one of the Bugis-Makassar local wisdoms with a unique pattern, appropriate to be used as a medium for learning transformation of geometry. Through the integration of local wisdom, Sulapa Eppa Walasuji can create contextual mathematics learning, so that students can easily understand the material by connecting real-life concepts. This research includes experimental research with a quasi-experimental design of the nonequivalent control group design type. The research instrument used was a mathematical logical intelligence test consisting of five essay questions. The data analysis used is descriptive statistics with gain score and effect size testing. The results showed that the mathematical logical intelligence of experimental class students increased by 43.16 with the effective contribution of the r effect size being 0.910. This indicates that the online-based integration of Sulapa Eppa Walasuji can improve students’ mathematical logical intelligence. 

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