Linear and non-linear spectroscopy of microparticles: Basic principles, new techniques and promising applications

2008 ◽  
Vol 137 ◽  
pp. 9-36 ◽  
Author(s):  
Richard K. Chang ◽  
Yong-Le Pan
Keyword(s):  
New Techniques ◽  
Basic Principles ◽  
Non Linear

New techniques in linear and non-linear laser optics in muscle research

2006 ◽  
Vol 27 (5-7) ◽  
pp. 469-479 ◽  
Author(s):  
F. Vanzi ◽  
M. Capitanio ◽  
L. Sacconi ◽  
C. Stringari ◽  
R. Cicchi ◽  
...  
Keyword(s):  
New Techniques ◽  
Muscle Research ◽  
Laser Optics ◽  
Non Linear ◽  
Linear Laser

Non-Destructive Testing in Aircraft Servicing

1966 ◽  
Vol 70 (666) ◽  
pp. 632-638
Author(s):  
M. Murden
Keyword(s):  
Ultrasonic Testing ◽  
Early Stage ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
New Techniques ◽  
Basic Principles ◽  
Current Testing ◽  
Mandatory Requirement ◽  
Civil Aircraft ◽  
Non Destructive

SummaryDuring recent years, with the introduction of more complex aircraft structures, new techniques of aircraft servicing have been needed. It is essential to find even the smallest defects at a very early stage, but costly strip-examination must be avoided so far as possible.Non-destructive testing is now playing an important part in this field, but many aeronautical engineers are unaware of the capabilities and limitations of the main methods.This paper sets out to explain the basic principles of radiography, ultrasonic testing and eddy current testing. Since sampling inspections using these methods are now a mandatory requirement on all civil aircraft the paper should be of interest to all readers.

scholarly journals Fixed and Dynamic Predictors of Willingness to Communicate in L2: A Review on New Paradigms of Individual Differences

2021 ◽  
Vol 9 (S1-May) ◽  
pp. 154-161
Author(s):  
Ahmet Selçuk Akdemir
Keyword(s):  
Individual Differences ◽  
Dynamic System ◽  
Paradigm Shift ◽  
Dynamic Structure ◽  
Willingness To Communicate ◽  
Complex Nature ◽  
Complex Dynamic ◽  
Basic Principles ◽  
Complex Dynamic System ◽  
Non Linear

Willingness to communicate (WTC), a recent affective construct of SLA research, has experienced a paradigm shift regarding its nature. Current WTC research tends to define it as a dynamic and context-bound structure rather being in a linear and static disposition. New conceptualization is based on Complex Dynamic System (CDS) theory. This theory has been applied to SLA research to explain dynamic, non-linear and complex nature of SLA process. The convenience of CDS theory’s basic principles has led existing WTC structure to be re-shaped and revised to define it as a dynamic structure in contrast to its former definition which would recall WTC as a static and trait-like variable.

scholarly journals Keldysh technique and non-linear σ-model: basic principles and applications

2009 ◽  
Vol 58 (3) ◽  
pp. 197-319 ◽  
Author(s):  
Alex Kamenev ◽  
Alex Levchenko
Keyword(s):  
Basic Principles ◽  
Non Linear ◽  
Keldysh Technique

scholarly journals Application of Machine Learning in Electromagnetics: Mini-Review

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2752
Author(s):  
Md. Samiul Islam Sagar ◽  
Hassna Ouassal ◽  
Asif I. Omi ◽  
Anna Wisniewska ◽  
Harikrishnan M. Jalajamony ◽  
...  
Keyword(s):  
Machine Learning ◽  
Inverse Scattering ◽  
Model Building ◽  
Cost Effective ◽  
Research Progress ◽  
Electromagnetic System ◽  
New Techniques ◽  
Design Synthesis ◽  
Detection Systems ◽  
Non Linear

As an integral part of the electromagnetic system, antennas are becoming more advanced and versatile than ever before, thus making it necessary to adopt new techniques to enhance their performance. Machine Learning (ML), a branch of artificial intelligence, is a method of data analysis that automates analytical model building with minimal human intervention. The potential for ML to solve unpredictable and non-linear complex challenges is attracting researchers in the field of electromagnetics (EM), especially in antenna and antenna-based systems. Numerous antenna simulations, synthesis, and pattern recognition of radiations as well as non-linear inverse scattering-based object identifications are now leveraging ML techniques. Although the accuracy of ML algorithms depends on the availability of sufficient data and expert handling of the model and hyperparameters, it is gradually becoming the desired solution when researchers are aiming for a cost-effective solution without excessive time consumption. In this context, this paper aims to present an overview of machine learning, and its applications in Electromagnetics, including communication, radar, and sensing. It extensively discusses recent research progress in the development and use of intelligent algorithms for antenna design, synthesis and analysis, electromagnetic inverse scattering, synthetic aperture radar target recognition, and fault detection systems. It also provides limitations of this emerging field of study. The unique aspect of this work is that it surveys the state-of the art and recent advances in ML techniques as applied to EM.

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