Development of FE-based computer-assisted design system for induction machines

This paper discusses a computer-assisted design system that makes use of multiple windowing, and its implementation f or typeface design. The system assigns each of five levels in the design task to a separate window, and allows the effect of changes made at any level to be seen in the other windows. The system is designed to be acceptable to designers and to avoid inhibiting their creativity.

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An Interactive Computer Assisted Design System: Architecture and Design

10.1109/dsa52907.2021.00066 ◽

2021 ◽

Author(s):

Yuxuan Yan ◽

Xingjun Chen

Keyword(s):

System Architecture ◽

Design System ◽

Computer Assisted ◽

Computer Assisted Design ◽

Architecture And Design

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Divisions of labor in computer-assisted design

10.3115/1599773.1599805 ◽

1997 ◽

Author(s):

Reed Stevens

Keyword(s):

Computer Assisted ◽

Computer Assisted Design

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Computational Approaches for the Design of Mosquito Repellent Chemicals

Current Medicinal Chemistry ◽

10.2174/0929867325666181029165413 ◽

2020 ◽

Vol 27 (1) ◽

pp. 32-41 ◽

Cited By ~ 1

Author(s):

Subhash C. Basak ◽

Apurba K. Bhattacharjee

Keyword(s):

Computational Design ◽

Quantitative Structure Activity Relationship ◽

Computer Assisted ◽

Quantitative Structure ◽

Mosquito Repellent ◽

Computational Approaches ◽

Qsar Studies ◽

Computer Assisted Design ◽

Structure Activity ◽

Mosquito Repellents

Background: In view of many current mosquito-borne diseases there is a need for the design of novel repellents. Objective: The objective of this article is to review the results of the researches carried out by the authors in the computer-assisted design of novel mosquito repellents. Methods: Two methods in the computational design of repellents have been discussed: a) Quantitative Structure Activity Relationship (QSAR) studies from a set of repellents structurally related to DEET using computed mathematical descriptors, and b) Pharmacophore based modeling for design and discovery of novel repellent compounds including virtual screening of compound databases and synthesis of novel analogues. Results: Effective QSARs could be developed using mathematical structural descriptors. The pharmacophore based method is an effective tool for the discovery of new repellent molecules. Conclusion: Results reviewed in this article show that both QSAR and pharmacophore based methods can be used to design novel repellent molecules.

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