1,721,186 research outputs found
Recent advances in integrated photonic-electronic technologies for high-speed processing and communication circuits for light-based transducers
No full textThe paper reviews recent advances in integrated technologies to embed photonic and electronic circuits and systems within the same chip and/or package. Thanks to multi-project wafer services like Europractice, new technologies (e.g. the SG25-PIC by IHP or the iSiPP50G by IMEC), are available at affordable cost to integrate on silicon chip also photonic devices like waveguides, photodiodes, photonic modulators and fiber-couplers. As an evolution, SG25H-EPIC technology is a high performance technology by IHP, which combines in the same chip integrated Silicon Photonic devices of the SG25-PIC technology with Bipolar and CMOS electronic circuits of the SiGe BiCMOS SG25H4 technology. The paper reviews these capabilities and show how it is possible to integrate in the same chip photonics and electronics to reach high speed in terms of signal acquisition, processing and transmission of light-based transducers
Configurable network-on-chip router macrocells
Full text linkThis paper presents a configurable architecture for Network-on-Chip (NoC) router macrocells, and a methodology to streamline their design and configuration. The methodology addresses the typical problems experienced by design and verification engineers when coding highly configurable intellectual property macrocells at Register Transfer Level (RTL) with hundreds of parameters and thousands of resulting configurations. A NoC infrastructure for a Multi Processor System-on-Chip (MPSoC) may require tens or hundreds of router macrocells. Therefore, managing the configuration design space is becoming a bottleneck for the design and verification of many-core processing systems. The proposed generation flow is illustrated on a real-world NoC router core. Its configurable architecture is compliant with several NoC topologies such as Ring, Octagon, Spidergon and 2D mesh typically used in many-core processing platforms. The generation flow allows for a reduction in the database code size, up to 70% in our experiments, and a contraction of three orders of magnitudes of the verification space vs. conventional design flows of RTL macrocells. The validity of the approach is also confirmed by synthesizing the generated router macrocells in nanoscale CMOS technology. The achieved performance compare well to the state-of-the-art in terms of low latency and low circuit complexit
Radar real-time image processing for machine perception
No full textThe paper reviews real-time image processing techniques for machine perception with a specific focus on radar image processing for autonomous vehicles. Both algorithms and real-time computing platforms for range-doppler-direction analysis (i.e. estimation of distance, speed and angle of the target) are reviewed
Kalman-based motion estimation in video surveillance systems for safety applications
No full textThe paper presents the design of a Kalman-based motion estimation algorithm to be used in video surveillance systems for safety applications, such as smoke and fire fast alarm generation. Particularly, the Kalman estimator, combined with a color detection method, allows detecting the presence of smoke and/or fire in video scenes. Hence, it is a key device for indoor and outdoor surveillance systems using video-cameras
Inductorless DC/DC Converter for Aerospace Applications with Insulation Features
No full textFuture spacecrafts require onboard electronics with ever-more radiation hardness levels. This should be achieved without using metal shields to keep low size and weight. This brief presents an Inductorless DC/DC converter able to convert a wide input voltage range, from 6 V to 60 V, in two points of load at 5 V and 1.65 V. Thanks to an innovative insulating stage, based on electrostatic coupling architecture, the DC/DC converter is able to protect the supplied loads from overvoltages in the power buses and errors, due to Single Event Effects, in the driving algorithm. In addition, avoiding the use of inductors and transformers, it reduces the electromagnetic interference generated by classic switching mode power supplier. The whole converter is fabricated in 0.35 HV-CMOS technology and electrically characterized by experimental measurements. Specific tests for space compliance were performed as Total Ionization Dose and Single Event Effect tests, highlighting the feasibility use of the proposed converter for space applications
Impact of Image Resizing on Deep Learning Detectors for Training Time and Model Performance
No full textResizing images is a critical pre-processing step in computer vision. Principally, deep learning models train faster on small images. A larger input image requires the neural network to learn from four times as many pixels, and this increase the training time for the architecture. In this work, we presented the evolution of effects of image resizing on model training time and performance. This study is applied on a vehicle dataset. We used You Look Only Once based architectures which include YOLOv2, YOLOv3, YOLOv4, and YOLOv5 with pretrained models to perform object detection. YOLO is designed to detect objects with high accuracy and high speed, which is an advent for real-time applications. Data augmentation method is used in this research to reduce overfitting problems, which approximates the data probability by manipulating the input samples. The experimental results show that if the input image size varies, then it has effects on the training time of the CNN based images classification. Additionally, this research reviewed image resizing and its impacts on the models’ performance in terms of accuracy, precision, and recall
Preface
No full textThis book provides a thorough overview of cutting-edge research on electronics applications relevant to industry, the environment, and society at large. It covers a broad spectrum of application domains, from automotive to space and from health to security, while devoting special attention to the use of embedded devices and sensors for imaging, communication and control. The book is based on the 2019 ApplePies Conference, held in Pisa, Italy in September 2019, which brought together researchers and stakeholders to consider the most significant current trends in the field of applied electronics and to debate visions for the future. Areas addressed by the conference included information communication technology; biotechnology and biomedical imaging; space; secure, clean and efficient energy; the environment; and smart, green and integrated transport. As electronics technology continues to develop apace, constantly meeting previously unthinkable targets, further attention needs to be directed toward the electronics applications and the development of systems that facilitate human activities. This book, written by industrial and academic professionals, represents a valuable contribution in this endeavor
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