785 research outputs found
Optical Yagi-Uda nanoantennas
Conventional antennas, which are widely employed to transmit radio and TV
signals, can be used at optical frequencies as long as they are shrunk to
nanometer-size dimensions. Optical nanoantennas made of metallic or
high-permittivity dielectric nanoparticles allow for enhancing and manipulating
light on the scale much smaller than wavelength of light. Based on this
ability, optical nanoantennas offer unique opportunities regarding key
applications such as optical communications, photovoltaics, non-classical light
emission, and sensing. From a multitude of suggested nanoantenna concepts the
Yagi-Uda nanoantenna, an optical analogue of the well-established
radio-frequency Yagi-Uda antenna, stands out by its efficient unidirectional
light emission and enhancement. Following a brief introduction to the emerging
field of optical nanoantennas, here we review recent theoretical and
experimental activities on optical Yagi-Uda nanoantennas, including their
design, fabrication, and applications. We also discuss several extensions of
the conventional Yagi-Uda antenna design for broadband and tunable operation,
for applications in nanophotonic circuits and photovoltaic devices
CMOS SPAD-based image sensor for single photon counting and time of flight imaging
The facility to capture the arrival of a single photon, is the fundamental limit to the detection of quantised
electromagnetic radiation. An image sensor capable of capturing a picture with this ultimate optical and
temporal precision is the pinnacle of photo-sensing. The creation of high spatial resolution, single photon
sensitive, and time-resolved image sensors in complementary metal oxide semiconductor (CMOS) technology
offers numerous benefits in a wide field of applications. These CMOS devices will be suitable to replace high
sensitivity charge-coupled device (CCD) technology (electron-multiplied or electron bombarded) with
significantly lower cost and comparable performance in low light or high speed scenarios. For example, with
temporal resolution in the order of nano and picoseconds, detailed three-dimensional (3D) pictures can be
formed by measuring the time of flight (TOF) of a light pulse. High frame rate imaging of single photons can
yield new capabilities in super-resolution microscopy. Also, the imaging of quantum effects such as the
entanglement of photons may be realised.
The goal of this research project is the development of such an image sensor by exploiting single photon
avalanche diodes (SPAD) in advanced imaging-specific 130nm front side illuminated (FSI) CMOS technology.
SPADs have three key combined advantages over other imaging technologies: single photon sensitivity,
picosecond temporal resolution and the facility to be integrated in standard CMOS technology. Analogue
techniques are employed to create an efficient and compact imager that is scalable to mega-pixel arrays. A
SPAD-based image sensor is described with 320 by 240 pixels at a pitch of 8μm and an optical efficiency or
fill-factor of 26.8%. Each pixel comprises a SPAD with a hybrid analogue counting and memory circuit that
makes novel use of a low-power charge transfer amplifier. Global shutter single photon counting images are
captured. These exhibit photon shot noise limited statistics with unprecedented low input-referred noise at an
equivalent of 0.06 electrons.
The CMOS image sensor (CIS) trends of shrinking pixels, increasing array sizes, decreasing read noise, fast
readout and oversampled image formation are projected towards the formation of binary single photon imagers
or quanta image sensors (QIS). In a binary digital image capture mode, the image sensor offers a look-ahead to
the properties and performance of future QISs with 20,000 binary frames per second readout with a bit error
rate of 1.7 x 10-3. The bit density, or cumulative binary intensity, against exposure performance of this image
sensor is in the shape of the famous Hurter and Driffield densitometry curves of photographic film.
Oversampled time-gated binary image capture is demonstrated, capturing 3D TOF images with 3.8cm
precision in a 60cm range
Enhancing Deep Learning Models through Tensorization: A Comprehensive Survey and Framework
The burgeoning growth of public domain data and the increasing complexity of
deep learning model architectures have underscored the need for more efficient
data representation and analysis techniques. This paper is motivated by the
work of (Helal, 2023) and aims to present a comprehensive overview of
tensorization. This transformative approach bridges the gap between the
inherently multidimensional nature of data and the simplified 2-dimensional
matrices commonly used in linear algebra-based machine learning algorithms.
This paper explores the steps involved in tensorization, multidimensional data
sources, various multiway analysis methods employed, and the benefits of these
approaches. A small example of Blind Source Separation (BSS) is presented
comparing 2-dimensional algorithms and a multiway algorithm in Python. Results
indicate that multiway analysis is more expressive. Contrary to the intuition
of the dimensionality curse, utilising multidimensional datasets in their
native form and applying multiway analysis methods grounded in multilinear
algebra reveal a profound capacity to capture intricate interrelationships
among various dimensions while, surprisingly, reducing the number of model
parameters and accelerating processing. A survey of the multi-away analysis
methods and integration with various Deep Neural Networks models is presented
using case studies in different application domains.Comment: 34 pages, 8 figures, 4 table
NASA Tech Briefs, August 2010
Topics covered include: Technology Focus: Mechanical Components; Electronics/Computers; Software; Materials; Mechanics/Machinery; Manufacturing; Bio-Medical; Physical Sciences; Information Sciences; and Books and Reports
MOCAST 2021
The 10th International Conference on Modern Circuit and System Technologies on Electronics and Communications (MOCAST 2021) will take place in Thessaloniki, Greece, from July 5th to July 7th, 2021. The MOCAST technical program includes all aspects of circuit and system technologies, from modeling to design, verification, implementation, and application. This Special Issue presents extended versions of top-ranking papers in the conference. The topics of MOCAST include:Analog/RF and mixed signal circuits;Digital circuits and systems design;Nonlinear circuits and systems;Device and circuit modeling;High-performance embedded systems;Systems and applications;Sensors and systems;Machine learning and AI applications;Communication; Network systems;Power management;Imagers, MEMS, medical, and displays;Radiation front ends (nuclear and space application);Education in circuits, systems, and communications
Design of a Miniature Camera System for Interior Vision Automotive Application
The purpose of this thesis is to describe the design process, goals, and analysis of the interior vision camera for a driver monitoring system. The design includes minimizing the overall footprint of the system by utilizing smaller more precise optics, as well as higher quantum efficiency (QE) image sensor technologies and packaging. As a result of this research, prototype cameras are constructed, and performance was analyzed. The analysis shows that Modulation Transfer Function (MTF) performance is stable at extreme hot and cold temperatures, while the cost is mitigated by using all plastic lens elements. New high QE image sensors are a potential improvement to this design. The mechanical part of the design has resulted in the filing of three different patents. The first patent was the athermalization spacer itself for automotive applications. The second patent was the way the lens barrel interacts with the athermalization piece. The third patent was the way the imager assembly accommodates the same Bill Of Material (BOM) components and different customer requirement angles
Air Force Institute of Technology Research Report 2014
This report summarizes the research activities of the Air Force Institute of Technology’s Graduate School of Engineering and Management. It describes research interests and faculty expertise; lists student theses/dissertations; identifies research sponsors and contributions; and outlines the procedures for contacting the school. Included in the report are: faculty publications, conference presentations, consultations, and funded research projects. Research was conducted in the areas of Aeronautical and Astronautical Engineering, Electrical Engineering and Electro-Optics, Computer Engineering and Computer Science, Systems Engineering and Management, Operational Sciences, Mathematics, Statistics and Engineering Physics
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