scholarly journals Low Cost, High Performance, 16-Channel Microwave Measurement System for Tomographic Applications

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5436
Author(s):  
Paul Meaney ◽  
Alexander Hartov ◽  
Timothy Raynolds ◽  
Cynthia Davis ◽  
Sebastian Richter ◽  
...  
Keyword(s):  
Measurement System ◽  
Software Defined Radio ◽  
Breast Imaging ◽  
High Performance ◽  
Imaging System ◽  
System Level ◽  
Microwave Measurement ◽  
Component Level ◽  
Critical System ◽  
The Individual

We have developed a multichannel software defined radio-based transceiver measurement system for use in general microwave tomographic applications. The unit is compact enough to fit conveniently underneath the current illumination tank of the Dartmouth microwave breast imaging system. The system includes 16 channels that can both transmit and receive and it operates from 500 MHz to 2.5 GHz while measuring signals down to −140 dBm. As is the case with multichannel systems, cross-channel leakage is an important specification and must be lower than the noise floors for each receiver. This design exploits the isolation inherent when the individual receivers for each channel are physically separate; however, these challenging specifications require more involved signal isolation techniques at both the system design level and the individual, shielded component level. We describe the isolation design techniques for the critical system elements and demonstrate specification compliance at both the component and system level.

scholarly journals New developments in battery safety for large-scale systems

MRS Bulletin ◽  
2021 ◽  
Author(s):  
Joshua Lamb ◽  
Judith A. Jeevarajan
Keyword(s):  
Large Scale ◽  
New Technologies ◽  
Lithium Ion ◽  
High Energy ◽  
Rechargeable Batteries ◽  
System Level ◽  
Component Level ◽  
Emergent Technologies ◽  
Battery Safety ◽  
The Individual

AbstractBattery safety is a multidisciplinary field that involves addressing challenges at the individual component level, cell level, as well as the system level. These concerns are magnified when addressing large, high-energy battery systems for grid-scale, electric vehicle, and aviation applications. This article seeks to introduce common concepts in battery safety as well as common technical concerns in the safety of large rechargeable systems. Lithium-ion batteries represent the most significant technology in high-energy rechargeable batteries and a technology with well-known safety concerns. Because of this, particular attention is paid to introduce common concepts and concerns specific to these batteries. An introduction of system-level battery issues that may cause problems in larger systems is given. Finally, a brief summary of the gaps in emergent technologies is provided. As most of the effort in new technologies goes toward improving performance, there are significant gaps in understanding safety performance of these new batteries.

scholarly journals A New High-Performance Digital FM Modulator and Demodulator for Software-Defined Radio and Its FPGA Implementation

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Indranil Hatai ◽  
Indrajit Chakrabarti
Keyword(s):  
Software Defined Radio ◽  
High Speed ◽  
High Performance ◽  
Frequency Synthesizer ◽  
Dynamic Range ◽  
Fpga Implementation ◽  
Clock Frequency ◽  
System Clock ◽  
Quarter Wave ◽  
The Individual

This paper deals with an FPGA implementation of a high performance FM modulator and demodulator for software defined radio (SDR) system. The individual component of proposed FM modulator and demodulator has been optimized in such a way that the overall design consists of a high-speed, area optimized and low-power features. The modulator and demodulator contain an optimized direct digital frequency synthesizer (DDFS) based on quarter-wave symmetry technique for generating the carrier frequency with spurious free dynamic range (SFDR) of more than 64 dB. The FM modulator uses pipelined version of the DDFS to support the up conversion in the digital domain. The proposed FM modulator and demodulator has been implemented and tested using XC2VP30-7ff896 FPGA as a target device and can operate at a maximum frequency of 334.5 MHz and 131 MHz involving around 1.93 K and 6.4 K equivalent gates for FM modulator and FM demodulator respectively. After applying a 10 KHz triangular wave input and by setting the system clock frequency to 100 MHz using Xpower the power has been calculated. The FM modulator consumes 107.67 mW power while FM demodulator consumes 108.67 mW power for the same input running at same data rate.

scholarly journals A Homogeneous Breast Phantom Measurement System with an Improved Modified Microwave Imaging Antenna Sensor

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2962 ◽  
Author(s):  
Mohammad Tariqul Islam ◽  
Md. Samsuzzaman ◽  
Md. Tarikul Islam ◽  
Salehin Kibria ◽  
Mandeep Jit Singh
Keyword(s):  
Measurement System ◽  
Breast Imaging ◽  
Imaging System ◽  
Microwave Imaging ◽  
Microwave Antenna ◽  
Phantom Measurement ◽  
Additional Tool ◽  
Sensor Performance ◽  
Breast Phantom ◽  
Microwave Breast Imaging

Microwave breast imaging has been reported as having the most potential to become an alternative or additional tool to the existing X-ray mammography technique for detecting breast tumors. Microwave antenna sensor performance plays a significant role in microwave imaging system applications because the image quality is mostly affected by the microwave antenna sensor array properties like the number of antenna sensors in the array and the size of the antenna sensors. In this paper, a new system for successful early detection of a breast tumor using a balanced slotted antipodal Vivaldi Antenna (BSAVA) sensor is presented. The designed antenna sensor has an overall dimension of 0.401λ × 0.401λ × 0.016λ at the first resonant frequency and operates between 3.01 to 11 GHz under 10 dB. The radiating fins are modified by etching three slots on both fins which increases the operating bandwidth, directionality of radiation pattern, gain and efficiency. The antenna sensor performance of both the frequency domain and time domain scenarios and high-fidelity factor with NFD is also investigated. The antenna sensor can send and receive short electromagnetic pulses in the near field with low loss, little distortion and highly directionality. A realistic homogenous breast phantom is fabricated, and a breast phantom measurement system is developed where a two antennas sensor is placed on the breast model rotated by a mechanical scanner. The tumor response was investigated by analyzing the backscattering signals and successful image construction proves that the proposed microwave antenna sensor can be a suitable candidate for a high-resolution microwave breast imaging system.

scholarly journals A Multi-Frequency SDR-Based GBSAR: System Overview and First Results

2021 ◽  
Vol 13 (9) ◽  
pp. 1613
Author(s):  
Adrià Amézaga ◽  
Carlos López-Martínez ◽  
Roger Jové
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Software Defined Radio ◽  
High Performance ◽  
Digital Signal ◽  
Signal Generation ◽  
System Level ◽  
Experimental Platform ◽  
First Results ◽  
Software And Hardware

This work describes a system-level overview of a multi-frequency GBSAR built around a high performance software defined radio (SDR). The main goal of the instrument is to be employed as a demonstrator and experimental platform for multi-frequency GBSAR campaigns. The system is capable of operating in P, L, C and X-bands, and signal generation and digital signal processing are customizable and reconfigurable through software. An overview of the software and hardware and implementations of the system are presented. The operation of the system is demonstrated with two measuring campaigns showing focused amplitude images at different frequencies. It is shown how the usage of SDR for GBSAR systems is a viable design option.

Dynamic Infrared System Level Fault Isolation

2003 ◽  
Author(s):  
John A. Naoum ◽  
Johan Rahardjo ◽  
Yitages Taffese ◽  
Marie Chagny ◽  
Jeff Birdsley ◽  
...  
Keyword(s):  
Fault Isolation ◽  
System Level ◽  
System Component ◽  
Component Level ◽  
Ir Imaging ◽  
Non Destructive

Abstract The use of Dynamic Infrared (IR) Imaging is presented as a novel, valuable and non-destructive approach for the analysis and isolation of failures at a system/component level.

Improving Efficiency in Robot Assisted Belt Grinding of High Performance Materials

2014 ◽  
Vol 907 ◽  
pp. 139-149 ◽  
Author(s):  
Eckart Uhlmann ◽  
Florian Heitmüller
Keyword(s):  
Gas Turbines ◽  
High Performance ◽  
Scale Effects ◽  
Turbine Blades ◽  
Repair Process ◽  
Industrial Robots ◽  
Robot Assisted ◽  
Belt Grinding ◽  
Economy Of Scale ◽  
The Individual

In gas turbines and turbo jet engines, high performance materials such as nickel-based alloys are widely used for blades and vanes. In the case of repair, finishing of complex turbine blades made of high performance materials is carried out predominantly manually. The repair process is therefore quite time consuming. And the costs of presently available repair strategies, especially for integrated parts, are high, due to the individual process planning and great amount of manually performed work steps. Moreover, there are severe risks of partial damage during manually conducted repair. All that leads to the fact that economy of scale effects remain widely unused for repair tasks, although the piece number of components to be repaired is increasing significantly. In the future, a persistent automation of the repair process chain should be achieved by developing adaptive robot assisted finishing strategies. The goal of this research is to use the automation potential for repair tasks by developing a technology that enables industrial robots to re-contour turbine blades via force controlled belt grinding.

scholarly journals System models for resilience in gerontology: application to the COVID-19 pandemic

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Katarzyna Klasa ◽  
Stephanie Galaitsi ◽  
Andrew Wister ◽  
Igor Linkov
Keyword(s):  
The Elderly ◽  
System Level ◽  
Improve Quality ◽  
Care Needs ◽  
Individual Level ◽  
Chronic Stressors ◽  
The World ◽  
Aging Adults ◽  
The Individual

AbstractThe care needs for aging adults are increasing burdens on health systems around the world. Efforts minimizing risk to improve quality of life and aging have proven moderately successful, but acute shocks and chronic stressors to an individual’s systemic physical and cognitive functions may accelerate their inevitable degradations. A framework for resilience to the challenges associated with aging is required to complement on-going risk reduction policies, programs and interventions. Studies measuring resilience among the elderly at the individual level have not produced a standard methodology. Moreover, resilience measurements need to incorporate external structural and system-level factors that determine the resources that adults can access while recovering from aging-related adversities. We use the National Academies of Science conceptualization of resilience for natural disasters to frame resilience for aging adults. This enables development of a generalized theory of resilience for different individual and structural contexts and populations, including a specific application to the COVID-19 pandemic.

Validation of Wavelia Microwave Breast Imaging System Using Mammography Breast Density

2021 ◽  
Author(s):  
Yazan Abdoush ◽  
Angie Fasoula ◽  
Luc Duchesne ◽  
Julio D. Gil Cano ◽  
Brian M. Moloney ◽  
...  
Keyword(s):  
Breast Density ◽  
Breast Imaging ◽  
Imaging System ◽  
Microwave Breast Imaging

Adaptive Precision Block-Jacobi for High Performance Preconditioning in the Ginkgo Linear Algebra Software

2021 ◽  
Vol 47 (2) ◽  
pp. 1-28
Author(s):  
Goran Flegar ◽  
Hartwig Anzt ◽  
Terry Cojean ◽  
Enrique S. Quintana-Ortí
Keyword(s):  
Linear Algebra ◽  
Graphics Processing Units ◽  
High Performance ◽  
Numerical Algorithms ◽  
Mixed Precision ◽  
Before And After ◽  
Memory Accesses ◽  
Specialized Hardware ◽  
The Individual ◽  
Graphics Processing

The use of mixed precision in numerical algorithms is a promising strategy for accelerating scientific applications. In particular, the adoption of specialized hardware and data formats for low-precision arithmetic in high-end GPUs (graphics processing units) has motivated numerous efforts aiming at carefully reducing the working precision in order to speed up the computations. For algorithms whose performance is bound by the memory bandwidth, the idea of compressing its data before (and after) memory accesses has received considerable attention. One idea is to store an approximate operator–like a preconditioner–in lower than working precision hopefully without impacting the algorithm output. We realize the first high-performance implementation of an adaptive precision block-Jacobi preconditioner which selects the precision format used to store the preconditioner data on-the-fly, taking into account the numerical properties of the individual preconditioner blocks. We implement the adaptive block-Jacobi preconditioner as production-ready functionality in the Ginkgo linear algebra library, considering not only the precision formats that are part of the IEEE standard, but also customized formats which optimize the length of the exponent and significand to the characteristics of the preconditioner blocks. Experiments run on a state-of-the-art GPU accelerator show that our implementation offers attractive runtime savings.

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