scholarly journals Freeform surface for light shaping by iterative design via Fourier domain

2021 ◽  
Vol 29 (20) ◽  
pp. 31270
Author(s):  
Irfan Badar ◽  
Liangxin Yang ◽  
Christian Hellmann ◽  
Frank Wyrowski
Keyword(s):  
Freeform Surface ◽  
Fourier Domain ◽  
Iterative Design

Multi-fields Optimization Iterative Design Method for Freeform Surface in Ultra-short-focus Projection System

2019 ◽  
Vol 48 (3) ◽  
pp. 322001 ◽  
Author(s):  
于百华 YU Bai-hua ◽  
田志辉 TIAN Zhi-hui ◽  
苏东奇 SU Dong-qi ◽  
高松涛 GAO Song-tao ◽  
隋永新 SUI Yong-xin ◽  
...  
Keyword(s):  
Design Method ◽  
Freeform Surface ◽  
Projection System ◽  
Iterative Design ◽  
Focus Projection

Correlation averaging of two-dimensional crystals: basic strategy and refinements

1986 ◽  
Vol 44 ◽  
pp. 136-139
Author(s):  
W. Baumeister ◽  
R. Rachel ◽  
R. Guckenberger ◽  
R. Hegerl
Keyword(s):  
Low Dose ◽  
Signal To Noise Ratio ◽  
Real Space ◽  
Fourier Domain ◽  
Two Dimensional ◽  
Signal To Noise ◽  
Unit Cells ◽  
Lateral Displacements ◽  
Established Technique ◽  
Crystalline Array

IntroductionCorrelation averaging (CAV) is meanwhile an established technique in image processing of two-dimensional crystals /1,2/. The basic idea is to detect the real positions of unit cells in a crystalline array by means of correlation functions and to average them by real space superposition of the aligned motifs. The signal-to-noise ratio improves in proportion to the number of motifs included in the average. Unlike filtering in the Fourier domain, CAV corrects for lateral displacements of the unit cells; thus it avoids the loss of resolution entailed by these distortions in the conventional approach. Here we report on some variants of the method, aimed at retrieving a maximum of information from images with very low signal-to-noise ratios (low dose microscopy of unstained or lightly stained specimens) while keeping the procedure economical.

Rim Slip and Bead Fitment of Tires: Analysis and Design2

2006 ◽  
Vol 34 (1) ◽  
pp. 38-63 ◽  
Author(s):  
C. Lee
Keyword(s):  
Pressure Distribution ◽  
Contact Pressure ◽  
Frictional Torque ◽  
Finite Element Analyses ◽  
Inflation Pressure ◽  
Contact Pressure Distribution ◽  
Design Modification ◽  
Iterative Design ◽  
Slip Resistance ◽  
Braking Torque

Abstract A tire slips circumferentially on the rim when subjected to a driving or braking torque greater than the maximum tire-rim frictional torque. The balance of the tire-rim assembly achieved with weight attachment at certain circumferential locations in tire mounting is then lost, and vibration or adverse effects on handling may result when the tire is rolled. Bead fitment refers to the fit between a tire and its rim, and in particular, to whether a gap exists between the two. Rim slip resistance, or the maximum tire-rim frictional torque, is the integral of the product of contact pressure, friction coefficient, and the distance to the wheel center over the entire tire-rim interface. Analytical solutions and finite element analyses were used to study the dependence of the contact pressure distribution on tire design and operating attributes such as mold ring profile, bead bundle construction and diameter, and inflation pressure, etc. The tire-rim contact pressure distribution consists of two parts. The pressure on the ledge and the flange, respectively, comes primarily from tire-rim interference and inflation. Relative contributions of the two to the total rim slip resistance vary with tire types, depending on the magnitudes of ledge interference and inflation pressure. Based on the analyses, general guidelines are established for bead design modification to improve rim slip resistance and mountability, and to reduce the sensitivity to manufacturing variability. An iterative design and analysis procedure is also developed to improve bead fitment.

Multimodal and Adaptive Learning Management: An Iterative Design

2015 ◽  
Vol 12 (3) ◽  
pp. 13-18
Author(s):  
David R. Squires ◽  
◽  
Michael A. Orey ◽  
Keyword(s):  
Adaptive Learning ◽  
Iterative Design ◽  
Learning Management

Introduction

2018 ◽  
Author(s):  
Xiaojun Bi ◽  
Andrew Howes ◽  
Per Ola Kristensson ◽  
Antti Oulasvirta ◽  
John Williamson
Keyword(s):  
Information Visualization ◽  
User Interfaces ◽  
Graphic Design ◽  
Interaction Design ◽  
Human Interaction ◽  
Learning Design ◽  
Human Factors Engineering ◽  
Interaction Techniques ◽  
Iterative Design ◽  
And Control

This chapter introduces the field of computational interaction, and explains its long tradition of research on human interaction with technology that applies to human factors engineering, cognitive modelling, artificial intelligence and machine learning, design optimization, formal methods, and control theory. It discusses how the book as a whole is part of an argument that, embedded in an iterative design process, computational interaction design has the potential to complement human strengths and provide a means to generate inspiring and elegant designs without refuting the part played by the complicated, and uncertain behaviour of humans. The chapters in this book manifest intellectual progress in the study of computational principles of interaction, demonstrated in diverse and challenging applications areas such as input methods, interaction techniques, graphical user interfaces, information retrieval, information visualization, and graphic design.

Sign in / Sign up

Export Citation Format

Share Document