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38th ieee International conference on Micro Electro Mechanical Systems, MEMS 2025

作者： Oh, Chaerin Park, Seyoung Park, Jongcheol Jung, Joontaek Lee, Hyunjoo J. Korea Advanced Institute of Science and Technology School of Electrical Engineering Korea Republic of National NanoFab Center Center for Next-Generation Platform Development Korea Republic of

ISBN: (纸本)9798331508890

Precise modulation of the focused beam is a critical technology for improving the performance of ultrasound-based treatments and diagnostics. Beyond conventional 1D transducer arrays, 2D transducer arrays have significantly broadened the scope of beam control applications. Leveraging CMOS compatibility, capacitive micromachined ultrasonic transducers (CMUT) have been regarded as an effective approach to fabricating 2D transducer arrays in a compact form. Although wafer-bonded CMUT arrays demonstrate excellent performance, their complex structures, including through-substrate vias and the need for mechanical stability, have posed significant challenges for 2D arrays. To address these challenges, we propose a novel method to enhance mechanical stability by employing a glass-reflow technique to fill the trench. © 2025 ieee.

关键词： Wafer bonding

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RFID Door Lock Access control Systems: Trends, Technologies and applications 3

RFID Door Lock Access Control Systems: Trends, Technologies ...

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3rd International conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Nair, Adwaith A. Adithyan, R. Unni, Akshara Nalinakshan, Shankar Department of Electrical and Electronics Engineering Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (纸本)9798331527549

Radio Frequency Identification (RFID) door lock systems are at the forefront of modern access control technology, combining security, convenience, and scalability. This paper presents a comprehensive review of RFID-based access control systems, highlighting their fundamental components, operational mechanisms, and advantages over traditional methods. Key innovations in RFID technology, such as integration with IoT platforms and mobile devices, are discussed in the context of enhancing system functionality and user experience. Moreover, this paper examines the challenges associated with RFID implementations, including data security vulnerabilities, signal interference, and high installation costs, while suggesting potential solutions. Through this analysis, the paper highlights the growing relevance of RFID access systems in residential, commercial, and industrial environments, paving the way for further advancements in secure and intelligent access control *** research identifies key challenges in traditional access control systems, such as susceptibility to breaches, lack of scalability, and operational inefficiency. RFID door lock systems emerge as an advanced solution, integrating wireless communication, IoT platforms, and mobile devices to address these limitations. This study presents an in-depth analysis of RFID systems, highlighting their components, operational mechanisms, and comparative advantages. Considering issues such as vulnerability to data security, interference signals, and a high price tag for the installation, this paper suggests possibilities with solutions of viable, secure, scalable, and intelligent access control systems. Hence, the transformative RFID technology into a residential, commercial, or industrial domain holds an immense study area. © 2025 ieee.

关键词： Radio frequency identification (RFID)

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Closed Loop Cascade control of High Efficiency High Step-up DC/DC Converter for Grid Connected PV Units 16

Closed Loop Cascade Control of High Efficiency High Step-up ...

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16th Annual Power Electronics, Drive Systems, and Technologies conference, PEDSTC 2025

作者： Tabrizi, Serge Yeghyazarian Safaei, Seyed Akbar Khorsandi, Amir Gharehpetian, G.B. Amirkabir University of Technology Department of Electrical Engineering Tehran Iran

ISBN: (纸本)9798331533946

This paper developed a model for a grid-connected photovoltaic (PV) system that incorporates a high-efficiency, non-isolated high step-up DC/DC converter, MPPT and Cascade controller. Cascade controller of a DC/DC converter is presented which this control mechanism maintains output voltage at 400 V DC. Cascade control of a high step-up high efficiency DC/DC converter involves of two or more control loops to regulate the output voltage of the converter more accurately and efficiently. This control strategy is frequently utilized to optimize the performance of converters, especially in applications requiring precise voltage regulation and high efficiency. In this paper we explained how cascade control works in the context of a step-up (boost) DC/DC converter. The proposed control system's precision in tracking desired signals and efficiently regulating plant process variables-minimizing settling time and overshoot-was verified through a comparative analysis with cascade PI controllers, using MATLAB/Simulink. © 2025 ieee.

关键词： Cascade control systems

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Systematic Study on AI-Enabled Defense Against DDoS Attacks in IoT 1

Systematic Study on AI-Enabled Defense Against DDoS Attacks ...

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1st International conference on Intelligent Systems and Computational Networks, ICISCN 2025

作者： Vadlamudi, Sandyarani Viswa Bharathy, A.M. Gitam School of Technology Department of Cse Bangalore India

ISBN: (纸本)9798331529246

People and machines are learning from the internet of things such as sensors, actuators, services and other things. Many facets of contemporary life have changed as a result of the Internet of Things (IoT), including home automation, industrial control systems, healthcare, and transportation. As the Internet of things applications are increasing attacks posing on these applications also increasing. One of the most dangerous threats when it comes to Internet of things is Distributed Denial of Service attack in which the attacks make services unavailable for the users. While the individuals responsible for DoS attacks, specifically DDoS attacks, do not intend to steal data, these attacks still pose a significant risk to networks. DDoS attacks aim to exhaust the resources of the targeted system, rendering it unable to provide its intended services. As a result, the system becomes dysfunctional. This study discussed about many machine learning and deep leaning algorithms for the DDoS attacks for several datasets that included IoT Network data. © 2025 ieee.

关键词： Network security

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Bi-directional DC-DC Converter with Isolation for Electric Vehicle System applications

Bi-directional DC-DC Converter with Isolation for Electric V...

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2024 International conference Optoelectronic Information and Optical Engineering, OIOE 2024

作者： Xu, Yalin Zhao, Yufeng Electrical and Information Engineering School Panzhihua University China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

Bi-directional DC-DC converters have many applications in in-vehicle power supplies and microgrids. Bi-directional DAB (dual active bridge) converters are proposed to optimize the charging system for electric vehicles. This paper analyzes a typical Bi-directional DC-DC converter topology whose input and output sides of the converter have simple symmetrical structure. The modes of the converter in different operating phases are analyzed, and a phase shift control system is designed based on TPS5430DR. Finally, design and test of the DC-DC converter are implemented. © 2025 SPIE.

关键词： Photons

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Improvement of Switching Frequency and Input Voltage Range in Single-Stage PFC Flyback Converter for LED Driver applications 16

Improvement of Switching Frequency and Input Voltage Range i...

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16th Annual Power Electronics, Drive Systems, and Technologies conference, PEDSTC 2025

作者： Khanmohammadi, Amir Hossein Sadeghian, Salar Hamzeh, Mohsen Abrishamifar, Adib University of Tehran School of Electrical and Computer Engineering Tehran Iran Iran University of Science and Technology School of Electrical Engineering Tehran Iran

ISBN: (纸本)9798331533946

The boundary conduction mode (BCM) flyback power factor correction (PFC) converter is well-suited for low to medium power-level applications. It isolates input and output voltages while improving the power factor (PF) by modifying the transformer turns ratio. However, the converter switching frequency varies throughout the line cycle, and the frequency range depends on the input voltage and load conditions. Consequently, the electromagnetic interference (EMI) spectra show significant variations, making the EMI filter design more challenging. This paper presents a constant on-time (COT) control strategy that employs a variable inductor (VI) to limit the range of switching frequency fluctuations across the universal input voltage range (85-264 Vrms). © 2025 ieee.

关键词： Switching frequency

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Affordable IoT Security: A Raspberry Pi System for Attendance and Intruder Detection 1

Affordable IoT Security: A Raspberry Pi System for Attendanc...

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1st International conference on AIML-applications for Engineering and technology, ICAET 2025

作者： Sharma, Karra Shivam Hallur, Ashish G. Venkatesh, Shreya Sumathi, G. Rajkumar, Sujatha Konguvel, E. School of Electronics Engineering Vellore Institute of Technology Vellore India

ISBN: (纸本)9798350355611

This paper introduces an innovative and budget-friendly IoT-based facial recognition system tailored for attendance tracking and intruder detection, leveraging the power of Raspberry Pi. By utilizing the Local Binary Pattern Histogram (LBPH) algorithm, the system achieves remarkable accuracy and quick response times, outperforming traditional methods like Fisher-Face. It integrates real-time face detection with instant alerts to bolster security measures. The system not only automates attendance records, updating them in real time and sending them via email, but also identifies unrecognized individuals, capturing their images and notifying authorities promptly. Designed with cost efficiency in mind, it operates on low power and uses readily available components, such as an external camera and a PIR sensor for motion detection. This practical solution is particularly well-suited for use in hostels, schools, industrial facilities, and other environments requiring secure, contactless systems. Future plans for enhancement include incorporating advanced features like liveness detection, expanding the dataset for higher accuracy, and upgrading the hardware for improved portability and seamless IoT integration. These upgrades aim to position the system as a cutting-edge tool for modern surveillance needs. © 2025 ieee.

关键词： Budget control

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Tensor Decomposition-Based Feature Transfer Learning for BCI applications 13

Tensor Decomposition-Based Feature Transfer Learning for BCI...

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13th International conference on Intelligent control and Information Processing, ICICIP 2025

作者： Bonab, Zahra Sohrabi Shamsollahi, Mohammad Bagher Department of Electrical Engineering Sharif University of Technology Tehran Iran

ISBN: (纸本)9798331516147

Event-Related Potential (ERP) detection and enhancement remain significant challenges in EEG signal processing due to the complex and multidimensional nature of ERP signals. This paper addresses these challenges by proposing a novel framework that combines low-rank tensor representation with heuristic feature transfer learning for efficient ERP processing. By leveraging tensor decomposition, we capture intricate multidimensional patterns in ERP data, facilitating the extraction of informative features. These features greatly reduce processing time, making the method particularly suitable for online Brain-Computer Interface (BCI) applications. We also present a feature transfer learning mechanism utilizing tensor decomposition, which facilitates the efficient adaptation of features trained on multiple subjects to new subjects, requiring only a small amount of calibration data. This approach leverages shared classification structures across subjects, allowing for rapid deployment and minimizing the need for extensive retraining. Our results demonstrate that the proposed method achieves reasonable ERP detection accuracy while drastically reducing computational overhead, presenting a robust solution for real-time BCI systems. © 2025 ieee.

关键词： Event Related Potentials (ERPs) Feature Extraction Feature Transfer Learning Tensor Decomposition

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Single-Layer Distillation with Fourier Convolutions for Texture Anomaly Detection

Single-Layer Distillation with Fourier Convolutions for Text...

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2025 ieee/CVF Winter conference on applications of Computer Vision, WACV 2025

作者： Thomine, Simon Snoussi, Hichem University of Technology of Troyes France

ISBN: (纸本)9798331510831

In industrial quality control, detecting anomalies in visual textures is essential for ensuring product quality and operational efficiency. Early identification of defects prevents faulty items from reaching consumers, reduces waste, and maintains high standards of production. Numerous unsupervised anomaly detection methods heavily depend on the integration of multiple layers from various pretrained models, a selection often made through empirical means. We propose SingleNet, an innovative knowledge distillation approach tailored for fast unsupervised texture anomaly detection, using a single layer from a compact pretrained model. Contrary to the previous knowledge distillation approaches, our network leverages fast Fourier convolutions (FFC) to reconstruct a degraded version of the teacher extracted features. At test time, we employed a frequency-aware filtering mechanism to reduce reconstruction artifacts caused by discrepancies between teacher and student architectures. Empirical results demonstrate the efficacy of our approach, attaining state-of-the-art performance across evaluated datasets coupled with expedited high-speed inference. © 2025 ieee.

关键词： Damage detection

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Remote State Estimation and Blum–Shub–Smale Machines—A Computability Analysis With applications to Virtual Twinning

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ieee Transactions on Automatic control 2025年第5期70卷 3165-3180页

作者： Boche, Holger Bock, Yannik Deppe, Christian Fitzek, Frank H. P. Technical University of Munich Chair of Theoretical Information Technology MunichD-80290 Germany BMBF Research Hub 6G-Life D-80333 Munich Germany MunichD-80799 Germany MunichD-80807 Germany Technische Universität Braunschweig Institute for Communications Technology BraunschweigD-38106 Germany 5G Lab Germany DresdenD-01062 Germany

This article analyzes aspects of the problem of remote state estimation (RSE) via noisy communication channels for their Blum–Shub–Smale (BSS) computability, motivated by an exemplary application to a formal model of virtual twinning subject to stringent integrity requirements. Computability theory provides a unique framework for the formal and mathematically rigorous analysis of algorithms and computing machines. Therefore, computability theory is essential in the domain of safety- and life-critical technology, where the formal verification of automated systems is necessary. Based on the RSE problem, we establish a simple mathematical model of virtual-twin systems that entails a formal notion of integrity (i.e., a state where the virtual entity accurately mirrors its physical counterpart). The model's notion of integrity is related to the question of whether the system under consideration is capable of computing the communication channel's zero-error capacity and corresponding zero-error codes. While this task is known to exceed the theoretical capabilities of Turing computers, we prove its formal feasibility within the model BSS machines. As different authors have proposed BSS machines as potential model of some forms of analog computing, this article serves as a proof-of-concept for a theoretical analog supremacy of unconventional information-processing hardware. Considering recent advances in the development of such hardware, forms of analog supremacy will likely become relevant in the future of cyber-physical systems and information technology. © 1963-2012 ieee.

关键词： Computability and decidability

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