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2024 International Conference on Intelligent Systems for Cybersecurity, ISCS 2024

作者： Sriram, S. Chandrakala, D. Kokulavani, K. Mohankumar, N. Vanitha, S. Murugan, S. Department of Electronics and Communication Engineering Tamil Nadu Chennai India Easwari Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chennai India J.J. College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Tiruchirappalli India Maharashtra Nagpur India Department of Computer Science and Engineering Tamil Nadu Salem India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350375237

Modern industrial pollution requires proactive measures to mitigate its environmental effects. This paper advances eco-friendly production forecasting using IoT and Logistic Regression (LR). Optimizing output, reducing pollution, and minimizing industrial activities' environmental imprint are goals. Industrial IoT sensors keep track of energy consumption, raw material use, and pollution in real-time. Processing and analyzing this data identifies production patterns and trends. LR is used to predict production factors and pollution levels. The model's use has several advantages. First, it provides real-time production environmental effect data. This lets firms alter production on the go, optimizing resource use and reducing emissions. The system can estimate future pollution levels based on projected production scenarios, enabling proactive pollution management and environmental compliance. LR and IoT enable sustainable industrial production. Company eco-friendly policies, waste reduction, and manufacturing efficiency may be improved by recognizing pollution drivers. This method supports global sustainability and environmental preservation. This technology is shown to revolutionize industrial pollution management, decrease ecological damage, and encourage environmentally aware production forecasting. It's a promising move toward eco-friendly production and meets the rising need for a responsible and sustainable industry. © 2024 IEEE.

关键词： Pollution control

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Optimal Module Count for ISOP LLC Resonant Converters based on an HF Transformer Genetic Algorithm Optimization in Motorsport Applications

Optimal Module Count for ISOP LLC Resonant Converters based ...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Volpini, Andrea Tresca, Giulia Campailla, Salvatore Dappiano, Andrea Zanchetta, Pericle University of Pavia Dept. of Electrical Computer and Biomedical Engineering Pavia Italy Marelli Motorsport Research & Development Department Venaria Reale Italy Marelli Motorsport Research & Development Department Corbetta Italy

ISBN: (纸本)9798350376067

This paper investigates the selection of the optimal number of modules in an Input-Series-Output-Parallel (ISOP) LLC resonant DC-DC converter for motorsport applications. The study employs a Genetic Algorithm (GA) multi-objective optimization of the High Frequency Transformer (HFT) power losses and total volume. The analysis is repeated for converters with different numbers of modules, considering both commercially available and custom transformer cores, as well as air and water cooling systems. The Pareto front of solutions is determined and presented in each scenario. Optimization results indicate that for commercial cores, the range of optimal solutions is significantly constrained by thermal limitations. Conversely, a wider range of solutions can be obtained with custom cores. Furthermore, a lower number of modules is preferable for achieving high efficiency. On the other hand, increasing the number of modules can increase the converter power density, although this results in lower efficiency. © 2024 IEEE.

关键词： Genetic algorithms

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Design of Cost-Effective Automated CPAP with LabView for Sleep Apnea Patient 2

Design of Cost-Effective Automated CPAP with LabView for Sle...

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2nd IEEE International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2024

作者： Prasanth, A. Ragavi, B. Kuntavai, T. Sudha, M. Devi Sowndarya, K.K. Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology Department of Computer Science and Engineering Chennai India Dr.N.G.P Institute of Technology Department of Biomedical Engineering Tamil Nadu India AdhiparaSakthi Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chengalpattu India Adhi College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu India DMI College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350354461

Obstructive sleep apnea (OSA) has become more common in recent days due to overweight, obesity, stress, and depression. It is a serious disorder where the patient's breathing repeatedly stops and starts. It is linked to social, economic, and health consequences. Due to the complicated design of the existing work, a new design of a simplified Continuous Positive Airway Pressure (CPAP) device with LabVIEW software has been proposed. In lab view software, the different virtual components like the blower, relay, and respiratory sensor will be placed. First, the virtual patient is positioned in virtual LabVIEW to check whether the patient is affected by OSA or a normal level patient. The blower is mainly used to level the flow of air (i.e., inhale and exhale). Further, the relay is employed to provide a time delay function, and it is utilized to control high-voltage and current circuits. In LabVIEW, the breathing level and threshold level frequencies are fixed with the aid of a respiratory sensor. The key aim of this proposed work is to control OSA patients. If the patient suffers from OSA, the respiratory sensor can supply the air pressure to the OSA patients based on different respiratory rate ranges. © 2024 IEEE.

关键词： Blowers

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Intensity-Modulated Wide-field Imaging for Characterizing Intensity Dynamics 15

Intensity-Modulated Wide-field Imaging for Characterizing In...

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biomedical Light Scattering XV 2025

作者： Fang, Qingwei Lu, Hengfa Tomar, Alankrit Dunn, Andrew K. Department of Biomedical Engineering The University of Texas at Austin 107 W. Dean Keeton Street AustinTX78712 United States Department of Electrical and Computer Engineering The University of Texas at Austin 2501 Speedway C0803 AustinTX78712 United States

ISBN: (纸本)9781510683884

Quantifying temporal intensity fluctuations is crucial yet challenging in many biomedical applications, e.g., assessing blood flow, tissue perfusion, and particle sizing. These fluctuations arise from dynamic scattering processes within biological tissues and are commonly characterized in the time domain by the intensity autocorrelation function g2(τ ). However, measuring g2(τ ) across a wide field of view often requires short exposures (high frame rates) or specialized high-speed cameras to capture rapid dynamics. In this work, we propose two wide-field speckle-based approaches for quantifying temporal intensity fluctuations using only standard cameras. Different from the existing laser speckle contrast imaging approaches which keep the laser intensity a constant within camera exposures, we modulate the laser intensity (temporal modulation) within camera exposures. With the temporal intensity modulations, we show that the speckle contrast can be taken as a sampling of g2(τ ) or the power spectrum density functions of the temporal intensity fluctuations. We validated the performance of the proposed approaches on blood flow imaging using both microfluidics phantom and mouse cranial windows. Experimental results demonstrate the effectiveness of both approaches in accurately quantifying temporal intensity dynamics. The proposed laser intensity modulation speckle imaging enables 2D wide-field quantification of fast temporal intensity fluctuations with significantly reduced instrumental costs associated with high-speed cameras. © 2025 SPIE.

关键词： High speed cameras

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Caustic Illumination-based HiLo Microscopy

Caustic Illumination-based HiLo Microscopy

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2023 Imaging Systems and Applications, IS 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

作者： Hu, Guorong Greene, Joseph Zhu, Jiabei Yang, Qianwan Li, Yunzhe Alido, Jeffrey Guo, Ruipeng Davison, Ian G. Tian, Lei Department of Electrical and Computer Engineering Boston University MA02215 United States Department of Biology Boston University MA02215 United States Department of Biomedical Engineering Boston University MA02215 United States

ISBN: (纸本)9781957171289

关键词： Fluorescence microscopy Laser sources LED sources Light sources Structured illumination microscopy Systems design

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Audio Anti-Spoofing Detection: A Survey

arXiv

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arXiv 2024年

作者： Li, Menglu Ahmadiadli, Yasaman Zhang, Xiao-Ping Department of Electrical Computer and Biomedical Engineering Toronto Metropolitan University Canada

The availability of smart devices leads to an exponential increase in multimedia content. However, the rapid advancements in deep learning have given rise to sophisticated algorithms capable of manipulating or creating multimedia fake content, known as Deepfake. Audio Deepfakes pose a significant threat by producing highly realistic voices, thus facilitating the spread of misinformation. To address this issue, numerous audio antispoofing detection challenges have been organized to foster the development of anti-spoofing countermeasures. This survey paper presents a comprehensive review of every component within the detection pipeline, including algorithm architectures, optimization techniques, application generalizability, evaluation metrics, performance comparisons, available datasets, and open-source availability. For each aspect, we conduct a systematic evaluation of the recent advancements, along with discussions on existing challenges. Additionally, we also explore emerging research topics on audio anti-spoofing, including partial spoofing detection, cross-dataset evaluation, and adversarial attack defence, while proposing some promising research directions for future work. This survey paper not only identifies the current state-of-the-art to establish strong baselines for future experiments but also guides future researchers on a clear path for understanding and enhancing the audio anti-spoofing detection mechanisms. Copyright © 2024, The Authors. All rights reserved.

关键词： Speech synthesis

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A large field‑of‑view,single‑cell‑resolution two‑and three‑photon microscope for deep and wide imaging

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eLight 2024年第1期4卷 26-39页

作者： Aaron T.Mok Tianyu Wang Shitong Zhao Kristine E.Kolkman Danni Wu Dimitre G.Ouzounov Changwoo Seo Chunyan Wu Joseph R.Fetcho Chris Xu School of Applied and Engineering Physics Cornell UniversityIthacaNYUSA Meining School of Biomedical Engineering Cornell UniversityIthacaNYUSA Department of Electrical and Computer Engineering Boston UniversityBostonMAUSA Department of Neurobiology and Behavior Cornell UniversityIthacaNYUSA Harvard T.H.Chan School of Public Health Harvard UniversityCambridgeMAUSA Department of Molecular&Cellular Biology Harvard UniversityCambridgeMAUSA McGovern Institute for Brain Research at MIT CambridgeMAUSA

In vivo imaging of large-scale neuronal activity plays a pivotal role in unraveling the function of the brain’s *** microscopy,a powerful tool for deep-tissue imaging,has received sustained interest in advancing its speed,field of view and imaging ***,to avoid thermal damage in scattering biological tissue,field of view decreases exponentially as imaging depth *** present a suite of innovations to optimize three-photon microscopy for large field-of-view imaging at depths unreachable by two-photon *** techniques enable us to image neuronal activities of transgenic animals expressing protein calcium sensors in a~3.5-mm diameter field-of-view with single-cell resolution in the deepest cortical layer of mouse *** further demonstrate simultaneous large field-of-view two-photon and three-photon imaging,subcortical imaging in the mouse brain,and whole-brain imaging in adult *** demonstrated techniques can be integrated into typical multiphoton microscopes to enlarge field of view for system-level neural circuit research.

关键词： Three-photon microscopy Two-photon microscopy Large field of view Brain imaging DEEPscope

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Automated Diagnosis of Heart-Lung Diseases in Chest X-ray Images 5

Automated Diagnosis of Heart-Lung Diseases in Chest X-ray Im...

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5th International Conference on engineering Technology and its Applications, IICETA 2022

作者： Alslatie, Mohammad Alquran, Hiam Mustafa, Wan Azani Abu-Qasmieh, Isam Alqudah, Ali Mohammad Alkhayyat, Ahmed The Institute of Biomedical Technology King Hussein Medical Center Royal Jordanian Medical Service Amman Jordan Yarmouk University Biomedical Systems and Medical Informatics Engineering Irbid Jordan Arau Faculty of Electrical Engineering Technology Perlis Malaysia University of Manitoba Biomedical Engineering Program Department of Electrical and Computer Engineering Canada The Islamic University Faculty of Engineering Najaf Iraq

ISBN: (纸本)9781665472159

The state of the art of artificial intelligence (AI) for various medical imaging applications leads to enhanced accuracy, analysis, visualization, and interpretation of chest Xray (CXR) images for diagnosis. Many diseases are diagnosed based on CXR images. In this paper, two types of abnormalities are diagnosed based on AI techniques. The two classes are atelectasis and cardiomegaly. The acquired images are segmented to localize the chest region and then enhanced using gray-level transformation methods. The enhanced images are passed to two pretrained convolutional neural networks (CNNs): shuffle and mobile net. The transfer learning approach is utilized in this stage. The automated features are extracted from the last fully connected layer. Each CNN deserves to have the two most representative features for the two classes. These four features are passed to support the vector machine classifier. The training accuracy reached 100% and the test accuracy was 96.7%. The proposed method can be extended to be a milestone in the classification of all heart-lung diseases that can be diagnosed using chest X-ray images. © 2022 IEEE.

关键词： Convolutional neural networks

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Cramér-Rao Bounds for the Simultaneous Estimation of Power System Electromechanical Modes and Forced Oscillations

Cramér-Rao Bounds for the Simultaneous Estimation of Power ...

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IEEE General Meeting Power& Energy Society

作者： Luke Dosiek Department of Electrical Computer & Biomedical Engineering Union College Schenectady NY

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

In this paper, the Cramér-Rao Bounds (CRB) for the simultaneous estimation of power system electromechanical modes and forced oscillations (FO) are derived. Two cases are considered; in the first case only the steady-state response to the FO is present in the measured system output used by estimation algorithms. In the second, the startup transient of the FO is present in addition to the steady-state response. The CRBs are analyzed numerically to explore sensitivities to FO frequency, signal-to-noise ratio (SNR) and observation window length. It is demonstrated that 1) the CRB of FO parameters is not affected by the presence of the transient response, 2) the CRB of the system modes is not affected by the presence of an FO in steady-state and 3) the CRB of the system modes can be drastically reduced by the presence of a FO startup transient.

关键词： Meters Transient response Sensitivity Estimation Frequency estimation Steady-state Power systems Transient analysis Oscillators Signal to noise ratio

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SecAP: Security Analysis of the Artificial Pancreas 4

SecAP: Security Analysis of the Artificial Pancreas

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4th IEEE International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2023

作者： Walenda, Melanie Lektorov, Alexander Saxena, Sahaj Bhatia, Sajal Kumar, Navin School of Computer Science and Engineering Sacred Heart University FairfieldCT United States Thapar Institute of Engineering and Technology Electrical and Instrumentation Engineering Department Punjab Patiala India Indian Institute of Technology Ropar Department of Biomedical Engineering Punjab Roop Nagar India

ISBN: (纸本)9798350306118

The artificial pancreas system is a recent development to assist patients with type 1 diabetes controlling their blood glucose levels. It involves several medical devices that use wireless protocols for communication and thus are vulnerable to cyber attacks. This paper focuses on replay and denial-of-service attacks because of their commonality and potentially significant impact on the patient's health. These attacks were modeled and implemented on the GlucoSym Simulator, a program used to develop safer and more accurate AP control algorithms. The effects of each attack on the patient's glucose and insulin dose levels were observed and recorded. Observations of events of hyperglycemia and hypoglycemia over the course of the simulation were used to identify the ideal time for an attacker to cause the most harm to the patient. Finally, a detection method for these attacks is proposed to alert the AP user that corrective actions need to be taken in the event of an attack. © 2023 IEEE.

关键词： Insulin

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