scholarly journals SOME STATISTICAL TECHNIQUES APPLIED TO ENGINEERING MECHANICS PROBLEMS

2020 ◽  
Vol 57 (6A) ◽  
pp. 10
Author(s):  
Tham Hong Duong
Keyword(s):  
Taguchi Method ◽  
Input Data ◽  
Technical Specification ◽  
Engineering Problem ◽  
Statistical Techniques ◽  
Test Cases ◽  
Statistical Tools ◽  
Technology Process ◽  
Engineering Problems ◽  
Engineering Mechanics

This article deals with statistical techniques normally used in Engineering. Variables or parameters in models of Engineering Mechanics always face data:  a) of materials (with technical specification); b) of analysing model using specific software; c) of measurement using variety of devices and approaches; and d) of the technology process of manufacture (outcome). An engineering object to be studied has k variables and each variable has m values or level of status, it will need mk cases to be solved. This has to conduct a very large number of test cases to be solved for target objective(s). A Taguchi Method will be applied for finding solution in which much less effort of computation is paid and other different conditions of noise could be taken into account. Besides, other statistical tools, ANOVA have also proved to be useful in quantifying uncertainties in engineering problems, both in aleatory (nature) and epistemic (knowledge and measurement) categories. A typical example of engineering problem is chosen to study using above-mentioned Taguchi method and statistical tools. This method is very useful for design of experiments, both in traditional laboratory and computer numerical modeling and it can used to optimize the set of input data for obtaining the best results of outcome product.

scholarly journals SOME STATISTICAL TECHNIQUES APPLIED TO ENGINEERING MECHANICS PROBLEMS

2020 ◽  
Vol 57 (6A) ◽  
pp. 10
Author(s):  
Tham Hong Duong
Keyword(s):  
Taguchi Method ◽  
Input Data ◽  
Technical Specification ◽  
Engineering Problem ◽  
Statistical Techniques ◽  
Test Cases ◽  
Statistical Tools ◽  
Technology Process ◽  
Engineering Problems ◽  
Engineering Mechanics

This article deals with statistical techniques normally used in Engineering. Variables or parameters in models of Engineering Mechanics always face data:  a) of materials (with technical specification); b) of analysing model using specific software; c) of measurement using variety of devices and approaches; and d) of the technology process of manufacture (outcome). An engineering object to be studied has k variables and each variable has m values or level of status, it will need mk cases to be solved. This has to conduct a very large number of test cases to be solved for target objective(s). A Taguchi Method will be applied for finding solution in which much less effort of computation is paid and other different conditions of noise could be taken into account. Besides, other statistical tools, ANOVA have also proved to be useful in quantifying uncertainties in engineering problems, both in aleatory (nature) and epistemic (knowledge and measurement) categories. A typical example of engineering problem is chosen to study using above-mentioned Taguchi method and statistical tools. This method is very useful for design of experiments, both in traditional laboratory and computer numerical modeling and it can used to optimize the set of input data for obtaining the best results of outcome product.

Model-Eliciting Activities: A Research-Based Method for Inquiry Learning and Professional Development in the Engineering Classroom

2008 ◽  
Author(s):  
Tamara J. Moore
Keyword(s):  
Complex Systems ◽  
Student Development ◽  
Engineering Problem ◽  
First Year ◽  
Foundation Engineering ◽  
Underrepresented Populations ◽  
Model Eliciting Activities ◽  
Engineering Problems ◽  
The Given ◽  
Mathematics And Science

Attracting students to engineering is a challenge. In addition, ABET requires that engineering graduates be able to work on multi-disciplinary teams and apply mathematics and science when solving engineering problems. One manner of integrating teamwork and engineering contexts in a first-year foundation engineering course is through the use of Model-Eliciting Activities (MEAs) — realistic, client-driven problems based on the models and modeling theoretical framework. A Model-Eliciting Activity (MEA) is a real-world client-driven problem. The solution of an MEA requires the use of one or more mathematical or engineering concepts that are unspecified by the problem — students must make new sense of their existing knowledge and understandings to formulate a generalizable mathematical model that can be used by the client to solve the given and similar problems. An MEA creates an environment in which skills beyond mathematical abilities are valued because the focus is not on the use of prescribed equations and algorithms but on the use of a broader spectrum of skills required for effective engineering problem-solving. Carefully constructed MEAs can begin to prepare students to communicate and work effectively in teams; to adopt and adapt conceptual tools; to construct, describe, and explain complex systems; and to cope with complex systems. MEAs provide a learning environment that is tailored to a more diverse population than typical engineering course experiences as they allow students with different backgrounds and values to emerge as talented, and that adapting these types of activities to engineering courses has the potential to go beyond “filling the gaps” to “opening doors” to women and underrepresented populations in engineering. Further, MEAs provide evidence of student development in regards to ABET standards. Through NSF-funded grants, multiple MEAs have been developed and implemented with a MSE-flavored nanotechnology theme. This paper will focus on the content, implementation, and student results of one of these MEAs.

scholarly journals The comparative analysis of selected interactive data presentation techniques on the example of the land use structure in the commune of Tomice

2016 ◽  
Vol 48 (3) ◽  
pp. 115-127
Author(s):  
Karol Król ◽  
Barbara Prus
Keyword(s):  
Land Use ◽  
Information System ◽  
Comparative Analysis ◽  
Geographic Information System ◽  
Input Data ◽  
Technical Specification ◽  
Data Presentation ◽  
Land Use Structure ◽  
Programming Tools ◽  
Interactive Data

Abstract The authors present the results of a comparative analysis of selected techniques and programming tools for building interactive data presentation in the form of diagrams and maps generated in the browser. The results of an inventory of land use structure, which are a part of a geographic information system database of the commune of Tomice in district of Wadowice, were employed as input data. The research has shown that the tested tools have a similar design capacity; which makes it difficult to determine which of them is the best. Different factors contribute to choosing a particular tool. They include technical specification, project budget, license conditions, technical support and visualization possibilities.

Clustering of regions and modeling of relationships between socio-economic indicators of crime against the interests of the service in commercial organizations

2020 ◽  
pp. 212-220
Author(s):  
Д.В. Дианов ◽  
М.К. Васильев
Keyword(s):  
Input Data ◽  
Comprehensive Analysis ◽  
Econometric Models ◽  
Scientific Article ◽  
Statistical Tools ◽  
Information Base ◽  
Regional Characteristics ◽  
Regional Management ◽  
Commercial Organizations ◽  
Economic Crimes

Научная статья посвящена возможностям применения статистического инструментария для комплексного анализа одного из негативных социально-экономических явлений, таких как преступность против интересов коммерческих организаций. Учёт специфики явления, факторов, определяющих его закономерности и тенденции, региональные особенности данного группы экономических преступлений предопределили сложность формирования массива исходных данных, так как рассматриваемые показатели должны максимально точно давать описание процесса посредством кластеризации регионов и эконометрических моделей, цель построения которых заключается в обеспечении ведомственного и регионального управления необходимой аналитической и информационной базой. The scientific article is devoted to the possibilities of using statistical tools for a comprehensive analysis of one of the negative socio-economic phenomena, such as crime against the interests of commercial organizations. The specific phenomena, factors determining its patterns and trends, regional characteristics of this group of economic crimes, determined the complexity of forming the array of input data, as the indicators in question should most accurately describe the process through clustering of the regions and econometric models, the goal of building which is to ensure that departmental and regional management the necessary analytical and information base.

Approaches to Quantitative Data Analysis and Evaluation

2016 ◽  
Author(s):  
Stephen Rae ◽  
Ahmed Salhin ◽  
Babak Taheri ◽  
Catherine Porter ◽  
Christian König ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Quantitative Data ◽  
Statistical Techniques ◽  
Statistical Tools ◽  
Analysis And Evaluation ◽  
Quantitative Data Analysis ◽  
Analyse Data

To understand data and present findings appropriately, researchers need awareness of statistical techniques. This chapter discusses the statistical tools used to analyse data collected. It focuses on two sets of the most widely used statistical tools, as shown in the ‘Deductive’ section in the data analysis area of the Methods Map (see Chapter 4): (1) exploring relationships and (2) comparing groups. In addition, we briefly explain ‘Big Data’.

scholarly journals On the Assessment of Numerical Wave Makers in CFD Simulations

2019 ◽  
Vol 7 (2) ◽  
pp. 47 ◽  
Author(s):  
Christian Windt ◽  
Josh Davidson ◽  
Pál Schmitt ◽  
John Ringwood
Keyword(s):  
Test Cases ◽  
Cfd Simulations ◽  
Wave Tank ◽  
Free Surface Waves ◽  
Offshore Engineering ◽  
Engineering Problems ◽  
Computational Fluid Dynamics Cfd ◽  
Single Method ◽  
Wave Maker ◽  
Numerical Wave

A fully non-linear numerical wave tank (NWT), based on Computational Fluid Dynamics (CFD), provides a useful tool for the analysis of coastal and offshore engineering problems. To generate and absorb free surface waves within a NWT, a variety of numerical wave maker (NWM) methodologies have been suggested in the literature. Therefore, when setting up a CFD-based NWT, the user is faced with the task of selecting the most appropriate NWM, which should be driven by a rigorous assessment of the available methods. To provide a consistent framework for the quantitative assessment of different NWMs, this paper presents a suite of metrics and methodologies, considering three key performance parameters: accuracy, computational requirements and available features. An illustrative example is presented to exemplify the proposed evaluation metrics, applied to the main NWMs available for the open source CFD software, OpenFOAM. The considered NWMs are found to reproduce waves with an accuracy comparable to real wave makers in physical wave tank experiments. However, the paper shows that significant differences are found between the various NWMs, and no single method performed best in all aspects of the assessment across the different test cases.

scholarly journals AUTOMATED STUDENT ASSESSMENT: LABEL RECOGNITION IN STEM FIGURES

2019 ◽  
Author(s):  
J. A. Davis
Keyword(s):  
Student Assessment ◽  
Probabilistic Approach ◽  
Visual Representations ◽  
Test Cases ◽  
Automatic Assessment ◽  
Specific Object ◽  
Current Algorithm ◽  
Variable Definition ◽  
Engineering Mechanics ◽  
Free Body

Visual representations such as Free body diagrams are an important part of solving engineering mechanics problems. Automatic Assessment of these types of images is difficult due to the involvement of multiple object types and to their contextual nature. Using a probabilistic approach, an algorithm was created to automatically categorize groups of characters in labels from images into specific object types including: variables, assignment operators, values, units, or words.  Using these categories, the algorithm was then able to determine whether the label was an identifier, a point, a dimension, a variable definition, or an equation. A series of representative test cases were chosen and results found that the current algorithm was able to correctly predict the results of all test cases. The paper discusses each step in detail and provides the resulting probability coefficients for the model.  

STP Risk Managed Technical Specification Software Design and Implementation

2009 ◽  
Author(s):  
Fatma Yilmaz ◽  
Ernie Kee ◽  
Drew Richards
Keyword(s):  
User Interface ◽  
Software Design ◽  
Input Data ◽  
Technical Specification ◽  
Records Management ◽  
End User ◽  
Enterprise Software ◽  
Software Application ◽  
Design And Implementation ◽  
Completion Times

STP uses a custom enterprise software application called RICTCal to calculate risk informed completion times (RICTs). Besides providing the end user interface to the calculation engine, the software also creates electronic regulatory-required reports that are automatically filed in the plant records management system. In addition to regulatory-required information on risk informed completion times and risk managed action times (RMATs), the software provides additional configuration risk information such as risk for reactor trip. The computation methodology and design of the software is described as well as required input data to support the calculation.

scholarly journals Simulation of Polymer Injection Molding: A New Practical Approach to Improve Computation Accuracy

2016 ◽  
Vol 7 (3) ◽  
pp. 25-28 ◽  
Author(s):  
Przemysław Narowski ◽  
Krzysztof Wilczyński
Keyword(s):  
Injection Molding ◽  
Input Data ◽  
Polymeric Materials ◽  
Engineering Problem ◽  
Injection Mold ◽  
Polymer Injection ◽  
Simple Tool ◽  
Cavity Filling ◽  
Polymer Injection Molding

Simulation of injection molding of polymeric materials is still a series scientific and engineering problem. The quality of the input data is crucial for computation accuracy. The original, relatively simple tool has been designed to validate simulations. This allows a fast identification of the critical input data, and next their proper adjustment to computations. FEM simulations have been compared with directly registered pictures of cavity filling process in a special injection mold with a sight-glass.

Inferring Gene Networks using Robust Statistical Techniques

2011 ◽  
Vol 10 (1) ◽  
Author(s):  
Venkat R. Nadadoor ◽  
Amos Ben-Zvi ◽  
Sirish L. Shah
Keyword(s):  
Gene Networks ◽  
Gene Network ◽  
Information Criterion ◽  
Statistical Techniques ◽  
Connectivity Matrix ◽  
Expression Data ◽  
Statistical Tools ◽  
Linear Ordinary Differential Equations ◽  
Leave One Out ◽  
Novel Algorithm

Inference of gene networks is an important step in understanding cellular dynamics. In this work, a novel algorithm is proposed for inferring gene networks from gene expression data using linear ordinary differential equations. Under the proposed method, a combination of known statistical tools including partial least squares (PLS), leave-one-out jackknifing, and the Akaike information criterion (AIC) are used for robust estimation of gene connectivity matrix. The proposed approach is tested and validated using a computer simulated gene network model and an experimental data on a nine gene network in Eschericia coli.

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