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2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024

作者： Keramida, Evi Souliotis, George Plessas, Fotis University of Thessaly Department of Electrical and Computer Engineering Volos Greece University of the Peloponnese Department of Electrical and Computer Engineering Patras Greece

ISBN: (纸本)9798350318845

A reconfigurable buck-boost multi-ratio Charge Pump (CP) based on the cross-coupled topology is presented in this paper. The proposed architecture aims to merge different ratios and different operation modes in one converter. The converter is able to step-up or step-down the input voltage at the output only by interchanging the external connections of the circuit. The proposed Charge Pump by converting up or down the input voltage at the output using different conversion ratios and modes achieves higher efficiency levels maximizing the power that is delivered to the load. The reconfigurable buckboost CP has been designed in 65nm TSMC CMOS technology and has a continuous input voltage range from 1.2V to 3.6V and a continuous output voltage range from 1.6V to 3.6V. The converter indicates peak efficiency equal to 72% and it delivers up to 4mA load current. © 2024 IEEE.

关键词： Buck-Boost converter

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Quantifying statistics of gene product copy-number fluctuations: A stochastic hybrid systems approach 63

Quantifying statistics of gene product copy-number fluctuati...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Vahdat, Zahra Singh, Abhyudai University of Delaware Department of Electrical and Computer Engineering NewarkDE19716 United States University of Delaware Department of Electrical and Computer Engineering Biomedical Engineering Mathematical Sciences Center for Bioinformatics and Computational Biology NewarkDE19716 United States

ISBN: (纸本)9798350316339

Across diverse cell types, genes are often expressed at low levels resulting in significant stochastic fluctuations (noise) in intracellular copy number of mRNAs and proteins over time. Motivated by single-cell experiments, we capture this stochasticity by considering a given gene that toggles between transcriptionally active and inactive states with the time spent in each state being an arbitrary random variable. mRNAs are synthesized from the active state as per a Poisson process and each molecule degrades after a random lifespan (i.e., random time from birth to death). Modeling this process using the Stochastic Hybrid System (SHS) formalism we derive exact analytical results for the statistical moments of molecular counts. Our results show that for fixed mean mRNA numbers, fluctuations in mRNA levels are amplified with decreasing noise in mRNA lifespan. Relaxing the Poisson process assumption, we next consider a scenario where transcription events occur such that the time between successive events is an arbitrarily distributed random variable. In this case, we show that decreasing noise in mRNA lifespan can both increase/decrease mRNA count fluctuations depending on the underlying transcriptional process. Finally, we extend these results to the protein level, where increasing noise in mRNA counts is sometimes associated with decreasing noise in protein copy numbers. © 2024 IEEE.

关键词： Stochastic systems

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Sub-10 nm nanoscopic imaging reveals sub-10nm cellular architectures 21

Sub-10 nm nanoscopic imaging reveals sub-10nm cellular archi...

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Plasmonics in Biology and Medicine XXI 2024

作者： Cui, Guangjie Kim, Do Young Zu, Di Chai, Guanbo Lee, Somin Eunice Department of Electrical & Computer Engineering Biomedical Engineering Applied Physics Biointerfaces Institute Macromolecular Science & Engineering University of Michigan Ann ArborMI United States

ISBN: (纸本)9781510669796

Phase intensity nanoscope (PINE) is a new super-resolution method to further improve the resolution of existing techniques. PINE utilizes an integrated phase-intensity device to modulate phase differences between electric field components to distinguish nanoprobes within a diffraction-limited region. This phase-intensity separation enables continuous imaging without photobleaching. PINE achieved sub-10nm resolution of cellular structures through precise localization of populations of randomly distributed nanorod probes. The distribution of localized nanorods forms patterns of underlying structures. By defining features from probe distribution patterns and minimizing the distances of each probe to its feature projection, PINE extracts sub-10nm structural information. PINE will pave the way for new sub-10nm long-term investigations of previously unexplored material, chemical and biological dynamics. © 2024 SPIE.

关键词： Probes

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Fast Routing With Rule Caching in Lossy Mobile SDN

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Journal of Institute of Control, Robotics and Systems 2023年第11期29卷 854-858页

作者： Kim, Janghan Park, Hyung-Seok Park, Kyung-Joon Department of Electrical Engineering and Computer Science DGIST Korea Republic of

Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) have been actively employed for tasks that are challenging for humans, such as scenarios like battlefield and disaster. Swarm unmanned systems, comprising UAVs and UGVs, experience dynamic additions or removals of unmanned aircraft. In this paper, we propose a rule caching-based recovery technique for achieving rapid forwarding rule establishment for additional UAVs deployed for recovery in wireless Software-defined Networking (SDN) based swarm unmanned systems. To validate the proposed algorithm, we conducted experiments by setting up a testbed using ODROID and a controller. Our results demonstrate that the proposed algorithm improves forwarding rule establishment performance by up to 50.3%. © ICROS 2023.

关键词： Ground vehicles

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A Bayesian Model Based on Link Distribution Features for Multitarget Passive Localization in Visible Light Sensing

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IEEE Sensors Journal 2025年第11期25卷 20037-20050页

作者： Zhang, Shuai Zhang, Liyi Liu, Kaihua Wang, Ya Tianjin University of Commerce School of Information Engineering Tianjin300134 China Tianjin University School of Microelectronics Tianjin300072 China Tianjin Renai College Information Engineering Department Tianjin301636 China Texas A&M University J. Mike Walker '66 Department of Mechanical Engineering The Department of Electrical and Computer Engineering Department of Biomedical Engineering College StationTX77843 United States

Passive localization using visible light (VL) sensing has been considered as a promising solution for indoor human detection. A major challenge is to avoid false target positioning in multitarget positioning scenarios. Besides, a reasonable probable target area model is also critical to the accuracy of positioning and counting targets. In this article, a novel passive localization scheme is proposed to locate multiple targets. This scheme introduces a rectangular probable target area model, which is used to calculate a rectangular area containing the potential location of the target to be located. Compared with existing models, it is more suitable for positioning scenarios under low-density deployment of sensing nodes. Furthermore, we present an improved successive cancellation (SC) algorithm to excluding false target localization. To determine the authenticity of targets by the SC algorithm, a Bayesian model is introduced to optimize the SC algorithm according to the multidimensional shadowed link information of candidate targets. Numerous simulation results show that the proposed multitarget passive localization scheme can improve the problem of false target localization in multitarget localization scenarios. And it also can achieve outstanding performance in localization accuracy. © 2025 IEEE.

关键词： Sensors Location awareness Transmitters Light emitting diodes Accuracy Bayes methods Vectors Receivers RF signals Time measurement

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Stability Investigation and Improvement for DC Cascade Systems with Simplified Impedance-based Stability Criterion

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1044-1052页

作者： Junbin Fang Zhikang Shuai Yang Li Zhibing Wang Xiangyang Wu Xia Shen Z.John Shen College of Electrical and Information Engineering Hunan UniversityChangsha 410082China Renewable Energy Department of China Electric Power Research Institute Beijing 100192China Department of Electrical and Computer Engineering Illinois Institute of TechnologyChicagoIL 60616USA IEEE

In DC distributed power systems(DPSs),the complex impedance interactions possibly lead to DC bus voltage oscillation or *** previous research,the stability analysis of DPSs is implemented based on mathematical analysis in control *** specific mechanisms of the instability of the cascade system have not been intuitively *** this paper,the stability analysis of DPSs based on the traditional Nyquist criterion is simplified to the resonance analysis of the seriesconnected port impedance(Z=R+jX)of source and load *** reveals that the essential reason for impedance instability of a DC cascade system is that the negative damping characteristic(R<0)of the port the overall impedance amplifies the internal resonance source at reactance zero-crossing *** simplified stability criterion for DC cascade systems can be concluded as:in the negative damping frequency ranges(R<0),there exists no zero-crossing point of the reactance component(i.e.,X=0).According to the proposed stability criterion,the oscillation modes of cascade systems are classified.A typical one is the internal impedance instability excited by the negative damping,and the other one is that the external disturbance amplified by negativity in a low stability ***,the impedance reshaping method for stability improvement of the system can be further *** validity of the simplified criterion is verified theoretically and experimentally by a positive damping reshaping method.

关键词： DC cascaded system,impedance model impedance reconstruction stability criterion

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3D Anisotropic Asymmetric Pyramid (AAP-Net) Network Model for Brain Metastases Segmentation on Multi-Sequence MRI

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IEEE Access 2025年 13卷 86983-86997页

作者： Farghaly, Omar Deshpande, Priya Electrical and Computer Engineering Department Maquette University MilwaukeeWI53233 United States

Brain metastases (BM) present a formidable challenge in clinical oncology, demanding precise segmentation and prediction to optimize patient care. Definite detection of BM is crucial for effective treatment planning and prognosis, particularly in radiation therapy. Manual detection of BMs is laborious and prone to error due to their small sizes, irregular shapes, and low contrast in the imaging. The emergence of deep learning technologies has shown promise in automating BM detection, thereby addressing the limitations of manual methods. However, most existing approaches utilize 2D images, overlooking spatial information and employing uniform isotropic images, which deviates from real-life conditions where anisotropic images are more common. This paper presents a novel 3D anisotropic aysmmetric pyramid (AAP-Net) model that integrates advanced deep learning techniques to accurately detect and segment BMs in 3D magnetic resonance imaging (MRI) volumes, capturing the intricate details and spatial relationships crucial for precise diagnosis. By preserving the anisotropic nature of medical images, our model better reflects real-life scenarios, enhancing its efficacy in clinical settings. Through extensive evaluation, we demonstrate the superior performance of our 3D model compared to previous state-of-the-art models. This superiority is evidenced by achieving a mean Dice Similarity Coefficient (DSC) score across K-fold of 0.88 ± 0.01 , Intersection Over Union (IOU) score of 0.80 ± 0.02 , recall and precision values of 0.91 ± 0.01 and 0.93 ± 0.01 respectively using T1 post-contrast MRI images, underscoring the model’s enhanced accuracy and efficacy in BM detection and segmentation. © 2013 IEEE.

关键词： Radiotherapy

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Face Mask and Social Distance Monitoring via computer Vision and Deployable System Architecture

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Intelligent Automation & Soft Computing 2023年第3期35卷 3641-3658页

作者： Meherab Mamun Ratul Kazi Ayesha Rahman Javeria Fazal Naimur Rahman Abanto Riasat Khan Department of Electrical and Computer Engineering North South UniversityDhakaBangladesh

The coronavirus(COVID-19)is a lethal virus causing a rapidly infec-tious disease throughout the *** awareness,taking preventive mea-sures,imposing strict restrictions on public gatherings,wearing facial masks,and maintaining safe social distancing have become crucial factors in keeping the virus at *** though the world has spent a whole year preventing and curing the disease caused by the COVID-19 virus,the statistics show that the virus can cause an outbreak at any time on a large scale if thorough preventive measures are not maintained ***ﬁght the spread of this virus,technologically developed systems have become very ***,the implementation of an automatic,robust,continuous,and lightweight monitoring system that can be efﬁciently deployed on an embedded device still has not become prevalent in the mass *** paper aims to develop an automatic system to simul-taneously detect social distance and face mask violation in real-time that has been deployed in an embedded system.A modiﬁed version of a convolutional neural network,the ResNet50 model,has been utilized to identify masked faces in *** Only Look Once(YOLOv3)approach is applied for object detection and the DeepSORT technique is used to measure the social *** efﬁciency of the proposed model is tested on real-time video sequences taken from a video streaming source from an embedded system,Jetson Nano edge computing device,and smartphones,Android and iOS *** results show that the implemented model can efﬁciently detect facial masks and social distance viola-tions with acceptable accuracy and precision scores.

关键词： Artiﬁcial intelligence COVID-19 deep learning technique face mask detection social distance monitor you only look once

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Jamming Attack Mitigation in Wireless Federated Learning Networks Using Bayesian Games

IEEE Networking Letters

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IEEE Networking Letters 2024年第4期6卷 247-251页

作者： Barkatsa, Sofia Diamanti, Maria Charatsaris, Panagiotis Tsiropoulou, Eirini Eleni Papavassiliou, Symeon Institute of Communication and Computer Systems School of Electrical and Computer Engineering National Technical University of Athens Zografou15780 Greece University of New Mexico Department of Electrical and Computer Engineering AlbuquerqueNM87131 United States

Federated Learning (FL), an emerging distributed Artificial Intelligence (AI) technique, is susceptible to jamming attacks during the wireless transmission of trained models. In this letter, we introduce a jamming attack mitigation mechanism for the uplink of wireless FL networks using the power-domain Non-Orthogonal Multiple Access (NOMA) technique. The problem of transmission power allocation for all clients (legitimate and malicious) is formulated and solved distributively as a Bayesian game with incomplete information. The clients aim to successfully transmit their model parameters, minimizing transmission time and consumed power, while having probabilistic knowledge about the malicious behavior of the other clients in the game. © 2019 IEEE.

关键词： Federated learning

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An Equivalent Voltage Index to Quantify the Impact of Harmonics on Shunt Capacitors

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2023年 21卷 63-68页

作者： Yu, Tian Yong, Jing Xu, Wilsun Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada

Harmonic distortions are known to affect the normal operation and life of power equipment. Shunt capacitor is one piece of equipment that is very sensitive to harmonics. Although limits have been established to limit the harmonic distortions experienced by a capacitor, methods to quantify the harmonic impact with easy-to-understand indices are still at large. This paper aims to address the above gap by proposing an equivalent voltage index. This index is to represent the impact of harmonic voltages and their features (such as peak value) into an equivalent increase in the fundamental frequency voltage otherwise experienced by the capacitor. The main advantage of such an equivalence is that PQ and non-PQ engineers can easily relate the impact to the general capacitor loading concept. The index is especially helpful to understand the impact of harmonics on capacitor and thus to justify harmonic mitigation projects. © 2023, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Harmonic distortion

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