Application of a Knowledge Engineering Process to Support Engineering Design Application Development

2008 ◽  
pp. 417-431 ◽  
Author(s):  
S. W. G. van der Elst ◽  
M. J. L. van Tooren
Keyword(s):  
Engineering Design ◽  
Knowledge Engineering ◽  
Engineering Process ◽  
Application Development ◽  
Support Engineering

scholarly journals Google Play Content Scraping and Knowledge Engineering using Natural Language Processing Techniques with the Analysis of User Reviews

2020 ◽  
Vol 30 (1) ◽  
pp. 192-208 ◽  
Author(s):  
Hamza Aldabbas ◽  
Abdullah Bajahzar ◽  
Meshrif Alruily ◽  
Ali Adil Qureshi ◽  
Rana M. Amir Latif ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Language Processing ◽  
Mobile Application ◽  
Knowledge Engineering ◽  
Machine Learning Algorithms ◽  
Application Development ◽  
User Reviews ◽  
N Gram ◽  
Logistic Regression Algorithm ◽  
Google Play

Abstract To maintain the competitive edge and evaluating the needs of the quality app is in the mobile application market. The user’s feedback on these applications plays an essential role in the mobile application development industry. The rapid growth of web technology gave people an opportunity to interact and express their review, rate and share their feedback about applications. In this paper we have scrapped 506259 of user reviews and applications rate from Google Play Store from 14 different categories. The statistical information was measured in the results using different of common machine learning algorithms such as the Logistic Regression, Random Forest Classifier, and Multinomial Naïve Bayes. Different parameters including the accuracy, precision, recall, and F1 score were used to evaluate Bigram, Trigram, and N-gram, and the statistical result of these algorithms was compared. The analysis of each algorithm, one by one, is performed, and the result has been evaluated. It is concluded that logistic regression is the best algorithm for review analysis of the Google Play Store applications. The results have been checked scientifically, and it is found that the accuracy of the logistic regression algorithm for analyzing different reviews based on three classes, i.e., positive, negative, and neutral.

AN EXPERIENTIAL LEARNING APPROACH FOR DEVELOPING MENTAL MODELS IN ENGINEERING DESIGN EDUCATION

2021 ◽  
Author(s):  
S. Li ◽  
C. Chua
Keyword(s):  
Experiential Learning ◽  
Engineering Design ◽  
Mental Models ◽  
Design Education ◽  
Mental Simulation ◽  
Learning Approach ◽  
Engineering Design Education ◽  
Design Activities ◽  
Support Engineering ◽  
Prior Experiences

Mental simulation represents how a person interprets and understands the causal relations associated with the perceived information, and it is considered an important cognitive device to support engineering design activities. Mental models are considered information characterized in a person’s mind to understand the external world. They are important components to support effective mental simulation. This paper begins with a discussion on the experiential learning approach and how it supports learners in developing mental models for design activities. Following that, the paper looks at the four types of mental models: object, making, analysis and project, and illustrates how they capture different aspects and skills of design activities. Finally, the paper proposes an alternative framework, i.e., Spiral Learning Approach, which is an integration of Kolb’s experiential learningcycle and the Imaginative Education (IE) framework. While the Kolb’s cycle informs a pattern to leverage personal experiences to reusable knowledge, the IE’s framework suggests how prior experiences can trigger imagination and advance understandings. A hypothetical design of a snow removal device is used to illustrate the ideas of design-related mental models and the spirallearning approach.

Exploration of the Dynamics of Neuro-Cognition During TRIZ

2021 ◽  
Author(s):  
Julie Milovanovic ◽  
Mo Hu ◽  
Tripp Shealy ◽  
John Gero
Keyword(s):  
Engineering Design ◽  
Engineering Students ◽  
Cognitive Differences ◽  
Cognitive Activation ◽  
Solution Generation ◽  
Engineering Parameters ◽  
Medial Pfc ◽  
The Right ◽  
Support Engineering ◽  
Structured Approach

Abstract The Theory of Inventive Problem Solving (TRIZ) method and toolkit provides a well-structured approach to support engineering design with pre-defined steps: interpret and define the problem, search for standard engineering parameters, search for inventive principles to adapt, and generate final solutions. The research presented in this paper explores the neuro-cognitive differences of each of these steps. We measured the neuro-cognitive activation in the prefrontal cortex (PFC) of 30 engineering students. Neuro-cognitive activation was recorded while students completed an engineering design task. The results show a varying activation pattern. When interpreting and defining the problem, higher activation is found in the left PFC, generally associated with goal directed planning and making analytical. Neuro-cognitive activation shifts to the right PFC during the search process, a region usually involved in exploring the problem space. During solution generation more activation occurs in the medial PFC, a region generally related to making associations. The findings offer new insights and evidence explaining the dynamic neuro-cognitive activations when using TRIZ in engineering design.

Digital Library Support for Engineering Design and Manufacturing

1999 ◽  
Author(s):  
William C. Regli
Keyword(s):  
Engineering Design ◽  
Digital Library ◽  
Research Problem ◽  
Knowledge Bases ◽  
Mechatronic Systems ◽  
Design And Manufacturing ◽  
Online Catalogs ◽  
Engineering Information ◽  
The Right ◽  
Support Engineering

Abstract This paper describes our initial efforts to deploy a digital library to support engineering design and manufacturing. This experimental testbed, The Engineering Design Repository, is an effort to collect and archive public domain engineering data for use by researchers and engineering professionals. CAD knowledge-bases are vital to engineers, who search through vast amounts of corporate legacy data and navigate online catalogs to retrieve precisely the right components for assembly into new products. This research attempts to begin addressing the critical need for improved computational methods for reasoning about complex geometric and engineering information. In particular, we focus on archival and reuse of design and manufacturing data for mechatronic systems. This paper presents a description of the research problem and an overview of the initial architecture of testbed.

Engineering Design Guidelines, Drawings and Specifications for Support Engineering of Suppressive Shields.

1976 ◽  
Author(s):  
F. J. Schroeder ◽  
R. L. Kachinski ◽  
R. W. Schnepfe ◽  
D. M. Koger ◽  
James L. McKivrigan
Keyword(s):  
Engineering Design ◽  
Design Guidelines ◽  
Support Engineering

scholarly journals Usability Evaluation of Software Tools for Engineering Design

2019 ◽  
Vol 1 (1) ◽  
pp. 1303-1312
Author(s):  
Helena Hashemi Farzaneh ◽  
Lorenz Neuner
Keyword(s):  
Engineering Design ◽  
Design Research ◽  
Evaluation Method ◽  
Software Tool ◽  
Software Tools ◽  
Usability Evaluation ◽  
Smart Devices ◽  
Design Software ◽  
Support Engineering

AbstractMuch of the work in design research focusses on the development of methods and tools to support engineering designers. Many of these tools are nowadays implemented in software. Due to the strongly growing use of computers and smart devices in the last two decades, the expectations of users increased dramatically. In particular users expect good usability, for example little effort for learning to apply the software. Therefore, the usability evaluation of design software tools is crucial. A software tool with bad usability will not be used in industrial practice. Recommendations for usability evaluation of software often stem from the field of Human Computer Interaction. The aim of this paper is to tailor these general approaches to the specific needs of engineering design. In addition, we propose a method to analyse the results of the evaluation and to derive suggestions for improving the design software tool. We apply the usability evaluation method on a use case - the KoMBi software tool for bio-inspired design. The case study provides additional insights with regards to problem, causes and improvement categories.

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