scholarly journals Toward a signal-processing foundation for computational sensing and imaging: electro-optical basis and merit functions

2017 ◽  
Vol 6 ◽  
Author(s):  
David G. Stork
Keyword(s):  
Signal Processing ◽  
Theoretical Foundation ◽  
Computational Imaging ◽  
Basis Functions ◽  
Imaging Systems ◽  
Merit Functions ◽  
Computational Sensing ◽  
Design Software ◽  
And Performance ◽  
Optical Basis

We highlight the need for – and describe initial strategies to find – new digital-optical basis functions and performance merit functions to serve as a foundation for designing, analyzing, characterizing, testing, and comparing a range of computational imaging systems. Such functions will provide a firm theoretical foundation for computational sensing and imaging and enhanced design software, thereby broadly speeding the development of computational imaging systems.

Corporate Governance and Performance of Organizations

2018 ◽  
Vol 9 (5) ◽  
pp. 439-446
Author(s):  
Hamid Ait lemqeddem ◽  
◽  
Mounya Tomas ◽  
Keyword(s):  
Corporate Governance ◽  
Agency Theory ◽  
Theoretical Foundation ◽  
Quantitative Approach ◽  
Governance Practices ◽  
Deductive Method ◽  
Private And Public ◽  
Is Theory ◽  
And Performance ◽  
Do So

There is renewed interest in the need to focus on corporate governance in an environment where it is a performance imperative for all small and large organizations, private and public, beginner or established.The purpose of this study is to demonstrate the place of corporate governance practices in organizations to ensure that the board, officers, and directors take action to protect shareholder interests and all stakeholders. It is important to focus on the effect of these practices on improving performance and competitiveness. To do so, we opted for the hypothetico-deductive method with a quantitative approach. Our theoretical foundation is theory is agency theory.

scholarly journals Roadmap of Terahertz Imaging 2021

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4092
Author(s):  
Gintaras Valušis ◽  
Alvydas Lisauskas ◽  
Hui Yuan ◽  
Wojciech Knap ◽  
Hartmut G. Roskos
Keyword(s):  
Room Temperature ◽  
Continuous Wave ◽  
Computational Imaging ◽  
Imaging Systems ◽  
Thz Imaging ◽  
Operational Conditions ◽  
Frequency Combs ◽  
Wave Imaging ◽  
On Chip ◽  
Nano Imaging

In this roadmap article, we have focused on the most recent advances in terahertz (THz) imaging with particular attention paid to the optimization and miniaturization of the THz imaging systems. Such systems entail enhanced functionality, reduced power consumption, and increased convenience, thus being geared toward the implementation of THz imaging systems in real operational conditions. The article will touch upon the advanced solid-state-based THz imaging systems, including room temperature THz sensors and arrays, as well as their on-chip integration with diffractive THz optical components. We will cover the current-state of compact room temperature THz emission sources, both optolectronic and electrically driven; particular emphasis is attributed to the beam-forming role in THz imaging, THz holography and spatial filtering, THz nano-imaging, and computational imaging. A number of advanced THz techniques, such as light-field THz imaging, homodyne spectroscopy, and phase sensitive spectrometry, THz modulated continuous wave imaging, room temperature THz frequency combs, and passive THz imaging, as well as the use of artificial intelligence in THz data processing and optics development, will be reviewed. This roadmap presents a structured snapshot of current advances in THz imaging as of 2021 and provides an opinion on contemporary scientific and technological challenges in this field, as well as extrapolations of possible further evolution in THz imaging.

3D Printable Resources for Engaging STEM Students in Laboratory Learning Activities and Outreach Programs: Inexpensive and User-Friendly Instrument Kits for Educators

MRS Advances ◽  
2018 ◽  
Vol 3 (49) ◽  
pp. 2937-2942 ◽  
Author(s):  
Lon A. Porter
Keyword(s):  
3D Printing ◽  
Mathematics Learning ◽  
Digital Design ◽  
Outreach Programs ◽  
Stem Students ◽  
3D Printed ◽  
Design Software ◽  
And Performance ◽  
And Mathematics ◽  
User Friendly

ABSTRACTContinued advances in digital design software and 3D printing methods enable innovative approaches in the development of new educational tools for laboratory-based STEM (science, technology, engineering and mathematics) learning. The decreasing cost of 3D printing equipment and greater access provided by university fabrication centers afford unique opportunities for educators to transcend the limitations of conventional modes of student engagement with analytical instrumentation. This work shares successful efforts at Wabash College to integrate user-friendly and inexpensive 3D printed instruments kits into introductory STEM coursework. The laboratory kits and activities described provide new tools for engaging students in the exploration of instrument design and performance. These experiences provide effective ways to assist active-learners in discovering the technology and fundamental principles of analysis and deliberately confront the “black box” perception of instrumentation.

scholarly journals VLSI ARCHITECTURE OF PARALLEL MULTIPLIER– ACCUMULATOR BASED ON RADIX-2 MODIFIED BOOTH ALGORITHM

2012 ◽  
pp. 40-46
Author(s):  
Mr.M.V. Sathish ◽  
Mrs. Sailaja
Keyword(s):  
Signal Processing ◽  
High Speed ◽  
High Performance ◽  
Vlsi Architecture ◽  
Clock Frequency ◽  
Parallel Multiplier ◽  
Hybrid Type ◽  
Standard Design ◽  
Overall Performance ◽  
And Performance

A new architecture of multiplier-andaccumulator (MAC) for high-speed arithmetic. By combining multiplication with accumulation and devising a hybrid type of carry save adder (CSA), the performance was improved. Since the accumulator that has the largest delay in MAC was merged into CSA, the overall performance was elevated. The proposing method CSA tree uses 1’s-complement-based radix-2 modified Booth’s algorithm (MBA) and has the modified array for the sign extension in order to increase the bit density of the operands. The proposed MAC showed the superior properties to the standard design in many ways and performance twice as much as the previous research in the similar clock frequency. We expect that the proposed MAC can be adapted to various fields requiring high performance such as the signal processing areas.

Mesh Morphing and Smoothing by Means of Radial Basis Functions (RBF)

2012 ◽  
pp. 347-380 ◽  
Author(s):  
Marco Evangelos Biancolini
Keyword(s):  
Radial Basis Functions ◽  
Basis Functions ◽  
Mathematical Framework ◽  
Mesh Morphing ◽  
Physical Problems ◽  
Radial Basis ◽  
Interaction Modelling ◽  
Shape Parameterization ◽  
Computational Fluid Dynamics Cfd ◽  
And Performance

Radial Basis Functions (RBF) mesh morphing, its theoretical basis, its numerical implementation, and its use for the solution of industrial problems, mainly in Computer Aided Engineering (CAE), are introduced. RBF theory is presented showing the mathematical framework for a basic RBF fit, its MathCAD implementation, and its usage. The equations required for a 2D case comparing RBF smoothing and pseudosolid smoothing based on Finite Elements Method (FEM) structural solution are given; RBF exhibits excellent performance and produces high quality meshes even for very large deformations. The industrial application of RBF morphing to Computational Fluid Dynamics (CFD) is covered presenting the RBF Morph software, its implementation, and a description of its working principles and performance. Practical examples include: physical problems that use CFD, shape parameterisation strategy, and modelling guidelines for setting-up a well posed RBF problem. Future directions explored are: transient shape evolution, fluid structure interaction modelling, and shape parameterization in multi-physics, multi-objective design optimization.

scholarly journals Data Association Methods via Video Signal Processing in Imperfect Tracking Scenarios: A Review and Evaluation

2020 ◽  
Vol 2020 ◽  
pp. 1-26
Author(s):  
Hui Li ◽  
Yapeng Liu ◽  
Wenzhong Lin ◽  
Lingwei Xu ◽  
Junyin Wang
Keyword(s):  
Signal Processing ◽  
Deep Learning ◽  
Data Association ◽  
Evaluation Criteria ◽  
Video Signal ◽  
Video Signal Processing ◽  
Video Signals ◽  
And Performance ◽  
Multiobject Tracking ◽  
Made In

In 5G scenarios, there are a large number of video signals that need to be processed. Multiobject tracking is one of the main directions in video signal processing. Data association is a very important link in tracking algorithms. Complexity and efficiency of association method have a direct impact on the performance of multiobject tracking. Breakthroughs have been made in data association methods based on deep learning, and the performance has been greatly improved compared with traditional methods. However, there is a lack of overviews about data association methods. Therefore, this article first analyzes characteristics and performance of three traditional data association methods and then focuses on data association methods based on deep learning, which is divided into different deep network structures: SOT methods, end-to-end methods, and Wasserstein metric methods. The performance of each tracking method is compared and analyzed. Finally, it summarizes the current common datasets and evaluation criteria for multiobject tracking and discusses challenges and development trends of data association technology and data association methods which ensure robust and real time need to be continuously improved.

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