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A High Power Density Active-Clamp Forward-Flyback Converter with Three Planar Transformer for xEV Low Voltage DC-DC Converter

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Transactions of the Korean Institute of electrical Engineers 2025年第3期74卷 468-476页

作者： Kwon, Gyeonghyun Lee, Dongin Jeong, Seongwook Jeong, Yeonho Youn, Hanshin Dept. of Electrical Engineering Incheon National University Korea Republic of Dept. of Electrical Computer and Biomedical Engineering University of Rhode Island KingstonRI United States

This paper proposes an Active-Clamp Forward-Flyback (ACFF) converter with three planar transformers to achieve 4 kW output power. As autonomous driving technology rapidly advances, the demand for higher output power from low-voltage DC-DC converters (LDC) in electric vehicles has significantly increased. Conventionally, two 2 kW ACFF converters with four magnetic cores connected in series-parallel have been used to meet 4 kW power requirement, but this configuration has proven inefficient in terms of size, power density, and cost. The proposed converter improves power density by integrating the four magnetic cores of the conventional 4 kW ACFF converter into three, reducing the overall magnetic volume and allowing for a more compact design. Furthermore, the use of planar magnetic components enables the winding to be embedded in a 4-layer PCB. Copyright © The Korean Institute of electrical Engineers.

关键词： High frequency transformers

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Design and Experiment of a Four-Fingered Robotic Hand for T-FLoW 4.0 humanoid robot 25

Design and Experiment of a Four-Fingered Robotic Hand for T-...

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25th International Electronics Symposium, IES 2023

作者： Apriandy, Kevin Ilham Dewantara, Bima Sena Bayu Dewanto, Raden Sanggar Pramadihanto, Dadet Ryando, Catoer Dept. of Informatics and Computer Engineering Indonesia Dept. of Electrical Engineering Indonesia

ISBN: (纸本)9798350314731

In this research study, we present a novel design of a four-fingered robotic hand for T-FLoW 4.0 humanoid robot along with its experiments to validate its grasping performance. Our proposed robotic hand designed with four fingers and five Degree-of-Freedom (DoF), with a configuration of a thumb, index, middle, and ring fingers to remain within the criteria of an anthropomorphic type robot hand. Our hand is built with a modular design on each finger and its mechanism, allowing for easy assembly and achieving a compact hand result. Main controller Arduino Mega implement the system for grasping movement, and then PCA9685 PWM controller get the hand movement instructions from it and generates the required PWM signal for the servo motors. The process of manufacturing the hand involves 3D printing technology to produce hands with a realistic appearance, and use PLA filament material achieve lightweight, affordable, and easy-To-maintain outcomes. The grasping experimental results show that our proposed robotic hand could perform basic grasping movements on household objects. With the use of Cini's taxonomy of grasp as the hand functionality standard, we achieved a success rate of 8 out of 14 tests conducted. © 2023 IEEE.

关键词： Anthropomorphic robots

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D-band Stacked Common-Base Power Amplifier with 19.2dBm oP1dBin 55 nm SiGe BiCMOS 50

D-band Stacked Common-Base Power Amplifier with 19.2dBm oP1d...

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50th IEEE European Solid-State Electronics Research Conference, ESSERC 2024

作者： Bilato, Andrea Pirbazari, Mahmoud M. Mazzanti, Andrea University of Pavia Computer and Biomedical Engineering Dept. of Electrical Italy

ISBN: (纸本)9798350388138

This paper presents the design and experimental validation of a stacked common-base power amplifier (PA) tailored for D-band communication systems. Leveraging 55 nm SiGe BiCMOS technology, the proposed PA architecture combines the superior gain compression performance of the common-base topology with the higher voltage swing provided by stacked-transistor power amplifiers. Experimental results demonstrate a peak output power of 19.7 dBm with only a 0.5 dB lower 1-dB compression point (o P1dB) of 19.2 dBm at 135 GHz. The power added efficiency (PAE) reaches 12.1% at saturation and 11.5% at o P1dB. © 2024 IEEE.

关键词： BiCMOS technology

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Systematic Comparison of Machine Learning for Activity Recognition in Cross-Subject vs. NonCross-Subject Scenarios: A Preliminary Analysis 8

Systematic Comparison of Machine Learning for Activity Recog...

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8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024

作者： Pe, Samuele Nicora, Giovanna Guerra, Bruna Maria Vittoria Sozzi, Stefania Parimbelli, Enea University of Pavia Dept. of Electrical Computer and Biomedical Engineering Pavia Italy

ISBN: (纸本)9798350362138

Human Activity Recognition (HAR) is pivotal for automating the detection and classification of human movements. Technological advances in data collection from sensors and cameras is making automatic HAR increasingly available to support robotics-assisted rehabilitation, where the detection of abnormal patterns in movement and gait can aid clinical evaluation of patients with diverse disorders. HAR typically employs Machine Learning (ML) or Deep Learning (DL) techniques to analyze sensor data patterns for various activities. However, the generalizability of ML/DL models remains underexplored, particularly concerning the impact of different training and evaluation settings. Overfitting is a common challenge, especially in medical applications where user-dependent training data hinder generalization. Investigating the performance of ML and DL algorithms after a cross-subject (CS) and a noncross-subject (NCS) division of the dataset into training and test sets is crucial. This study aims to systematically compare various ML and DL algorithms for HAR, evaluating their performance across the CS and NCS settings to discern the impact of inter-subject variability on model generalizability. © 2024 IEEE.

关键词： Contrastive Learning

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Real-Time Evaluation of Human Inertial properties in Immersive Simulators for Moth type Boats 6

Real-Time Evaluation of Human Inertial properties in Immersi...

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6th International Congress on Human-computer Interaction, Optimization and Robotic Applications, HORA 2024

作者： Todesca, Davide Sergenti, Carol Giulietti, Nicola Carnevale, Marco Dept. Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy

ISBN: (纸本)9798350394634

The aim of this work is to present a system designed for real-time markerless evaluation of human inertial properties, to be used in a Human In The Loop (HITL) simulator of a Moth class sailboat. The method is based on human body pose estimation algorithm used for 3D skeleton reconstruction from a multi-camera acquisition. The exploitation of a markerless system enables ease of use compared to marker-based systems, and reduces signal’s disturbances compared to Inertia Measurement Units (IMUs) for body pose reconstruction. The use of multi-camera setup and the integration of YOLOv8-pose model results with image triangulation techniques reduce occlusion occurrence, measurements drift and complexity. The 3D pose obtained is then used to estimate the Center of Mass (CoM) position and the Tensor of Inertia (ToI) of the skipper. The system allows for a real-time computation of the inertial properties of the skipper, thus enabling a real-time update of the mass matrix of the numerical model running the human-in-the loop simulator. This study shows the results achievable by the system in terms of inertia estimation for different skipper’s poses, and compares the cases in which the skipper is modelled as a point mass with real-time position updates with the case in which the full inertia tensor of the skipper is considered. Results show how in contexts like those of Moth class sailboat simulators the possibility to take into account and to vary in real-time the tensor of inertia of the sailor increases the accuracy achievable in the dynamic simulation. © 2018 IEEE.

关键词： Cameras

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Neural Network Enabled Robotic Contact Measurement 3

Neural Network Enabled Robotic Contact Measurement

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3rd IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural engineering, MetroXRAINE 2024

作者： Zhou, Davide Furlan, Valentina Giulietti, Nicola Carnevale, Marco Giberti, Hermes Università di Pavia Dept. Electrical Computer and Biomedical Engineering Pavia Italy

ISBN: (纸本)9798350378009

Following the ideas put forth by industry 4.0, flexible manufacturing systems that make use of robots, sensors and artificial intelligence are gaining more and more relevance. While vision systems are fundamental for the implementation of autonomous robotic systems, they are often lacking in accuracy when the conditions are not ideal. A robotic contact measurement system could be a possible solution to measure with more accuracy portions on the surface of a work-piece where the vision systems may struggle to acquire accurately. Using a robot for contact measurement introduces uncertainties due to the dynamics of the robot and the geometry of the probe. In this work a data-driven adaptive filter is developed exploiting a trained inferential model in order to enable robots equipped with a force sensor to perform contact measurements. The model is trained using data acquired from a 3D printed part with small features representing small surface defects to be measured, as small as 0.2 mm. The result shows that the profile of the defect can be effectively reproduced through the use of model reducing the mean absolute error from 0.382 mm to 0.034 mm. © 2024 IEEE.

关键词： Adaptive filtering

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PhishGuard: A Convolutional Neural Network-Based Model for Detecting Phishing URLs with Explainability Analysis 3

PhishGuard: A Convolutional Neural Network-Based Model for D...

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3rd International Conference on Artificial Intelligence For Internet of Things, AIIoT 2024

作者： Islam, Md Robiul Islam, Md Mahamodul Afrin, Mst. Suraiya Antara, Anika Tabassum, Nujhat Amin, Al Uttara University Dept. of Computer Science and Engineering Dhaka Bangladesh University of Oslo Dept. of Informatics Oslo Norway Dept. of Building Engineering and Construction Management Khulna Bangladesh BRAC University Dept. of Electrical and Electronics Engineering Dhaka Bangladesh North South University Dept. of Electrical and Computer Engineering Dhaka Bangladesh Dept. of Computer Science American International Dhaka Bangladesh

ISBN: (纸本)9798350372120

Cybersecurity is one of the global issues because of the extensive dependence on cyber systems of individuals, industries, and organizations. Among the cyber attacks, phishing is increasing tremendously and affecting the global economy. Therefore, this phenomenon highlights the vital need for enhancing user awareness and robust support at both individual and organizational levels. Phishing URL identification is the best way to address the problem. Various machine learning and deep learning methods have been proposed to automate the detection of phishing URLs. However, these approaches often need more convincing accuracy and rely on datasets consisting of limited samples. Furthermore, these black-box intelligent models' decision to detect Suspicious URLs needs proper explanation to understand the features affecting the output. To address the issues, we propose a 1 D Convolutional Neural Network (CNN) and trained the model with extensive features and a substantial amount of data. The proposed model outperforms existing works by attaining an accuracy of 99.85 %. Additionally, our explainability analysis highlights certain features that significantly contribute to identifying the phishing URL. © 2024 IEEE.

关键词： Convolutional neural networks

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Visual Analysis for Threat Detection in Photosensitive Epilepsy

Visual Analysis for Threat Detection in Photosensitive Epile...

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2024 IEEE MIT Undergraduate Research Technology Conference, URTC 2024

作者： Veera, Shivaprasath K. Solanki, Dhaval Mankodiya, Kunal University of Rhode Island Dept. of Electrical Computer and Biomedical Engineering Kingston United States

ISBN: (纸本)9798331531003

The occurrence of epileptic photosensitivity (Seizures triggered by rapid visual stimuli) has been steadily increasing since the rise of various video platforms. While there are invasive surgical solutions, noninvasive technologies are generally cheaper and safer to use on average. Video-recording cameras are one such case, being able to directly analyze a 2D recording of an environment for various objects. Given the condition, this could also be used to find p hotosensitive threats within a given area for early warning systems. This could lead to an overall decrease in self-harm caused by seizures and improved quality of life for the affected patient. © 2024 IEEE.

关键词： Video recording

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Effects of Mismatch on IC-Equipped Programmable Metasurfaces with Multibeam Functionality

Effects of Mismatch on IC-Equipped Programmable Metasurfaces...

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023

作者： Kossifos, Kypros M. Georgiou, Julius Antoniades, Marco A. University of Cyprus Dept. of Electrical & Computer Engineering Nicosia Cyprus Toronto Metropolitan University Dept. of Electrical Computer & Biomedical Engineering ON Canada

ISBN: (纸本)9781665442282

Integrated circuit (IC) technology can be incorporated in programmable metasurfaces (PMSFs) and reduce their cost and power consumption while increasing their electromagnetic manipulation capabilities. Such improvements can succour the incorporation of PMSFs as a common telecommunication technology. In order for this to be realised, the reproducibility and reliability of IC-equipped PMSFs need to be addressed. A study is presented on effects of IC mismatch on the performance of a PMSF with multibeam functionality. A mismatch of 10% to 40% of the nominal IC response is used and the effects on the far field are presented. © 2023 IEEE.

关键词： Timing circuits

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Performance estimation of direct and indirect transmission in V2X communications

Performance estimation of direct and indirect transmission i...

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2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024

作者： Keramidi, Irene Uzunidis, Dimitris Moscholios, Ioannis Yiannopoulos, Konstantinos Sagias, Nikos Sarigiannidis, Panagiotis University of Peloponnese Dept. Informatics and Telecommunications Tripolis Greece University of West Attica Dept. Electrical and Electronic Engineering Athens Greece University of W. Macedonia Dept. Electrical and Computer Engineering Kozani Greece

ISBN: (纸本)9798350318845

In this paper, we evaluate the performance of a vehicular ad hoc network that enables Vehicle-to-Everything (V2X) communication considering direct and indirect packet transmission. As a performance indicator, we use the blocking probability due to the unavailability of resources. For the blocking probability calculation, we utilize two loss models from the teletraffic theory. The results demonstrate that both the capacity of the V2X links and the number of hops in the multi-hop transmission significantly affect the blocking probability of a request for service and consequently the QoS. © 2024 IEEE.

关键词： Blocking probability

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