Recent advances and applications of digital holography in multiphase reactive/non-reactive flows: a review

2021 ◽  
Author(s):  
Jianqing Huang ◽  
Weiwei Cai ◽  
Ying-chun Wu ◽  
Xuecheng Wu
Keyword(s):  
Digital Holography ◽  
3D Imaging ◽  
Particle Dynamics ◽  
Future Research ◽  
Reactive Flows ◽  
Basic Principles ◽  
Research Directions ◽  
Future Research Directions ◽  
Automatic Focusing

Abstract In various multiphase flows, the characterization of particle dynamics is of great significance to understand the interaction between particles and the surrounding flows. Digital holography (DH) is a versatile 3D imaging technique, which has shown great advantages in quantitative analysis and non-intrusive diagnosis of various particle fields. This review focuses on the advances and applications of DH in multiphase reactive/non-reactive flows in the last two decades. The basic principles of DH are introduced firstly, including its mathematical background and representative experimental configurations. Then, the image processing algorithms for hologram reconstruction and automatic focusing are summarized, along with the methods for separating overlapping particles and tracking moving particles. As a prevailing and powerful tool, the recent applications of deep learning in processing holographic images is also included in this review. Furthermore, the applications of DH in the characterization of particle dynamics in multiphase reactive/non-reactive flows are surveyed in detail. Lastly, the review concludes with the discussion of the technical limits of DH and provides insights into its promising future research directions.

scholarly journals A Survey of Noninteractive Zero Knowledge Proof System and Its Applications

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Huixin Wu ◽  
Feng Wang
Keyword(s):  
Research Progress ◽  
Proof System ◽  
Future Research ◽  
Zero Knowledge ◽  
Basic Principles ◽  
Research Directions ◽  
Future Research Directions ◽  
Np Problems ◽  
Important Branch ◽  
Zero Knowledge Proof

Zero knowledge proof system which has received extensive attention since it was proposed is an important branch of cryptography and computational complexity theory. Thereinto, noninteractive zero knowledge proof system contains only one message sent by the prover to the verifier. It is widely used in the construction of various types of cryptographic protocols and cryptographic algorithms because of its good privacy, authentication, and lower interactive complexity. This paper reviews and analyzes the basic principles of noninteractive zero knowledge proof system, and summarizes the research progress achieved by noninteractive zero knowledge proof system on the following aspects: the definition and related models of noninteractive zero knowledge proof system, noninteractive zero knowledge proof system of NP problems, noninteractive statistical and perfect zero knowledge, the connection between noninteractive zero knowledge proof system, interactive zero knowledge proof system, and zap, and the specific applications of noninteractive zero knowledge proof system. This paper also points out the future research directions.

Signal Compression

1997 ◽  
Vol 08 (01) ◽  
pp. 1-12 ◽  
Author(s):  
Nikil Jayant
Keyword(s):  
Perceptual System ◽  
Future Research ◽  
Signal Quality ◽  
Signal Compression ◽  
Special Issue ◽  
Basic Principles ◽  
Research Directions ◽  
Four Dimensions ◽  
Future Research Directions ◽  
Signal Coding

This article is an introduction to a special issue on signal coding and compression. We begin by defining the concepts of digital coding and audiovisual signal compression. We then describe the four dimensions of coding performance: bit rate, signal quality, processing delay and complexity. We illustrate the two basic principles of audiovisual coding, removal of signal redundancy and the matching of the quantizing system to the properties of the human perceptual system, with specific recent examples of coding algorithms. We then summarize standards for, and applications of audiovisual signal compression. A fast-emerging application is the internetworking of audiovisual information, a field that is too recent to be covered in the articles in this collection. We conclude our article by presenting our views about future research directions in the field.

scholarly journals Interfaced heterogeneous nanodimers

2015 ◽  
Vol 2 (3) ◽  
pp. 329-348 ◽  
Author(s):  
Yugang Sun
Keyword(s):  
Strong Coupling ◽  
Synthesis And Characterization ◽  
Future Research ◽  
Comprehensive Overview ◽  
Research Directions ◽  
Nanoscience And Nanotechnology ◽  
Materials Research ◽  
Future Research Directions

Abstract Dimerization of different nanocomponents in single nanoparticles becomes interesting due to not only inheritance of properties of both components but also generation of new properties associated with strong coupling of the two components. As a class of emerging nanomaterials, interfaced heterogeneous nanodimers (IHNDs) are attracting more attentions in the field of materials research, in particular, nanoscience and nanotechnology. This review provides a timely and comprehensive overview on the general principles for the synthesis of IHNDs and typical examples of IHNDs made of various compositional combinations. The current challenges related to the synthesis and characterization of IHNDs are summarized at the end of the review and future research directions are also discussed.

scholarly journals New insight into the biochemical mechanisms regulating auxin transport in plants

2007 ◽  
Vol 401 (3) ◽  
pp. 613-622 ◽  
Author(s):  
Ian D. Kerr ◽  
Malcolm J. Bennett
Keyword(s):  
Auxin Transport ◽  
Future Research ◽  
Research Directions ◽  
The Past ◽  
Bona Fide ◽  
Future Research Directions ◽  
Biochemical Mechanisms ◽  
Ylacetic Acid ◽  
Insight Into

The transport of the plant hormone auxin has been under intense investigation since its identification 80 years ago. Studies have gradually refined our understanding of the importance of auxin transport in many aspects of plant signalling and development, and the focus has intensified in recent years towards the identification of the proteins involved in auxin transport and their functional mechanism. Within the past 18 months, the field has progressed rapidly, with confirmation that several distinct classes of proteins, previously dubbed as ‘putative auxin permeases’ or ‘auxin transport facilitators’, are bona fide transporters of IAA (indol-3-ylacetic acid). In this review we will appraise the recent transport data and highlight likely future research directions, including the characterization of auxiliary proteins necessary for the regulation of auxin transporters.

scholarly journals The Use of Artificial Intelligence in Tribology—A Perspective

Lubricants ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 2
Author(s):  
Andreas Rosenkranz ◽  
Max Marian ◽  
Francisco J. Profito ◽  
Nathan Aragon ◽  
Raj Shah
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Film Thickness ◽  
Future Research ◽  
Research Directions ◽  
Machine Learning Methods ◽  
Successful Case ◽  
The Coefficient Of Friction ◽  
Future Research Directions

Artificial intelligence and, in particular, machine learning methods have gained notable attention in the tribological community due to their ability to predict tribologically relevant parameters such as, for instance, the coefficient of friction or the oil film thickness. This perspective aims at highlighting some of the recent advances achieved by implementing artificial intelligence, specifically artificial neutral networks, towards tribological research. The presentation and discussion of successful case studies using these approaches in a tribological context clearly demonstrates their ability to accurately and efficiently predict these tribological characteristics. Regarding future research directions and trends, we emphasis on the extended use of artificial intelligence and machine learning concepts in the field of tribology including the characterization of the resulting surface topography and the design of lubricated systems.

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