Buscar
Mostrando ítems 1-10 de 12
Tesis Doctoral
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Design of CMOS Digital Silicon Photomultipliers with ToF for Positron Emission Tomography
(2020-05-29)
This thesis presents a contribution to the design of single-photon detectors for medical imaging. Specifically, the focus has been on the development of a pixel capable of single-photon counting in CMOS technology, and ...
Tesis Doctoral
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Behavioral Modeling of CMOS SPADs Based on TCAD Simulations
(2022-01-24)
SPAD stands for Single Photon Avalanche Detectors. SPADs are photodiodes structurally similar to those used in conventional image sensors. However, while the conventional ones are biased in the low voltage zone within the ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
A Rad-hard On-chip CMOS Charge Detector with High Dynamic Range
(Institute of Electrical and Electronics Engineers, 2023)
This article introduces a CMOS charge detector tailored for measuring ionizing radiation in a wide range of fluences. It represents an entirely on-chip solution based on capacitive sensing. It was fabricated using a standard ...
Tesis Doctoral
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Design of readout channels for time-of-flight image sensors based on a 28-nm FPGA
(2023-03-24)
This thesis presents a contribution to the design of readout channels for time-of-flight image sensors. Specifically, the focus has been on the development of time-to-digital converters (TDCs) based on a 28-nm field-prog ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Performance assessment of deep learning frameworks through metrics of CPU hardware exploitation on an embedded platform
(J.J. Strossmayer University of Osijek, 2020)
In this paper, we analyze heterogeneous performance exhibited by some popular deep learning software frameworks for visual inference on a resource-constrained hardware platform. Benchmarking of Caffe, OpenCV, TensorFlow, ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
A Low-Resources TDC for Multi-Channel Direct ToF Readout Based on a 28-nm FPGA
(Multidisciplinary Digital Publishing Institute (MDPI), 2021)
In this paper, we present a proposed field programmable gate array (FPGA)-based time-to-digital converter (TDC) architecture to achieve high performance with low usage of resources. This TDC can be employed for multi-channel ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Architecture-level optimization on digital silicon photomultipliers for medical imaging
(Multidisciplinary Digital Publishing Institute (MDPI), 2022)
Silicon photomultipliers (SiPMs) are arrays of single-photon avalanche diodes (SPADs) connected in parallel. Analog silicon photomultipliers are built in custom technologies optimized for detection efficiency. Digital ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Compressive Imaging Using RIP-Compliant CMOS Imager Architecture and Landweber Reconstruction
(Institute of Electrical and Electronics Engineers, 2020)
In this paper, we present a new image sensor architecture for fast and accurate compressive sensing (CS) of natural images. Measurement matrices usually employed in CS CMOS image sensors are recursive pseudo-random binary ...
Ponencia
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
Vertically Stacked CMOS-compatible Photodiodes for Scanning Electron Microscopy
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
This paper reports the use of vertically stacked photodiodes as compact solid-state spectrometers for transmission scanning electron microscopy. SEM microscopes operate by illuminating the sample with accelerated electrons. ...
Artículo
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
![Con acceso al texto completo Icon](/themes/idUS//images/acceso/opened_access.png)
![Premio Mensual Publicación Científica Destacada de la US. Facultad de Física Icon](/themes/idUS/images/certificate.png)
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices
(Institute of Electrical and Electronics Engineers, 2020)
This article presents PreVIous, a methodology to predict the performance of convolutional neural networks (CNNs) in terms of throughput and energy consumption on vision-enabled devices for the Internet of Things. CNNs ...