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3rd International conference on Computational Electronics for Wireless Communications, ICCWC 2023

ISBN: (纸本)9789819719426

The proceedings contain 35 papers. The special focus in this conference is on Computational Electronics for Wireless Communications. The topics include: Design of a Four-Port MIMO Antenna for C-, x-, and Ku-Band applications;Exploration of Diverse Techniques for Design and Optimization of QCA-Based Multiplexer Circuits;melanoma Detection Via Deep Convolutional Neural Network;Pattern Diversity mm-Wave Rectangular Ring Shaped MIMO Antenna for 5G Communication and Internet of Things applications;Flexible Two/Eight-Port MIMO Antenna Configuration for LTE B41/WLAN/Wi-Fi 6E and C-Band applications;Improvement in Machining Ability of Tungsten Carbide Tool Insert Through Microwave Hybrid Heating During Turning of EN 24 Steel;optimizing Airfare Pricing: A Data-Driven Approach for Affordable Travel Planning;advancements in Emotion Recognition: Systematic Review and Research Roadmap;epoc-Based Electroencephalography Signals Analysis of Different Stress Levels;Two-Element Tilted Rectangular MIMO UWB Antenna for Underwater Communications;deep Learning-Based Maize Crop Disease Detection and Remedial Recommendation System;design of Splash Plate Dielectric Hat Feed for Ka-Band Tracking Radar applications;soft Computing Paradigms for Load Balancing in Cloud Computing;strategies for Effective Network Congestion Control: Insights from Parameter-Based Analysis;BICC: Optimizing sensor Network Performance Via an Efficient Bioinspired Iterative Approach with Congestion Control;Leakage Power Reduction and Stability Analysis of 5 nm Node GAA CNTFET SRAMs;bandwidth Enhancement and Improvement of Directivity of a Composite Conical Structure in the Presence of a Circular Loop Antenna;development of Compact Dual Polarized Corrugated Feed Horn Antenna with Low Cross-Polarization for Doppler Weather Radar applications in C-Band;A Review on Recent Breakthroughs and Accomplishments in the Development of FeFET.

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Remote Fish Nourishing and Water Quality Tracking Using a Mobile Application 5th

Remote Fish Nourishing and Water Quality Tracking Using a Mo...

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5th International conference on Recent Trends in Machine Learning, IoT, Smart Cities, and applications, ICMISC 2024

作者： Rajesh, Singamaneni Bezawada, Deepika Jaya Sri Kasireddy, Venkata Mamatha Velagapudi Ramakrishna Siddhartha Engineering College Andhra Pradesh Vijayawada India

ISBN: (纸本)9789819788606

Generally, in many households, offices, and private spaces it is common to have an aquarium. However, a major problem occurs when dealing with monitoring and feeding of fish in the absence of an aquarium caretaker. There are many automatic fish feeder devices that can be used by setting up it with specific instructions. These devices are not operated remotely. There is no specific mobile application for both water quality checking and feature of fish feeding. The research presents an innovative approach to the development of an automatic fish feeder system integrated with a mobile application. Taking data from temperature and turbidity sensors, the system uses advanced machine learning techniques, specifically Long Short-Term Memory (LSTM) networks, to analyze environmental conditions and adapt feeding schedules accordingly. This system allows users to schedule feeding sessions, adjust portion sizes, and ensure the well-being of their aquatic pets. Thus, this project brings up a modernistic approach by connecting fish feeders with IoT devices and mobile applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： LSTM Remote Feeder Schedule feeding sessions Temperature sensor Turbidity sensor Water quality monitoring

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Skin-Conformal Motion Monitoring Film for Deep-Learning-Based Immersive Extended Reality

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advanced FUNCTIONAL MATERIALS 2025年第0期

作者： Ahn, Jihyeon Kim, Taehwan Ha, Ji-Hwan Lee, Donho Gul, Osman Cho, Seokjoo Kim, Hyunjin Kang, Mingu Choi, Jungrak Ahn, Junseong Park, Inkyu Korea Adv Inst Sci & Technol KAIST Dept Mech Engn Daejeon 34141 South Korea Korea Inst Machinery & Mat KIMM Ctr Nano Lithog & Mfg Daejeon 34103 South Korea Elect & Telecommun Res Inst ETRI Daejeon 34129 South Korea Korea Univ Dept Control & Instrumentat Engn Sejong 30019 South Korea

Immersive technologies like virtual reality (VR) and augmented reality (AR) are rapidly advancing, but current motion tracking systems face significant limitations. Camera-based methods struggle with occlusion and environmental sensitivity, while existing skin-applied sensors suffer from poor adhesion or lack of reusability. This research introduces a deep-learning-based motion monitoring system utilizing a skin-conformal stretchable film for reliable and immersive motion tracking in VR and AR applications. The approach enhances skin adhesion through elastomer cross-linking weakening and microwrinkle formation. The developed skin-conformal motion monitoring film (SCMF) demonstrates 5.3 times higher skin adhesion (0.0218 N mm(-1)) compared to conventional elastomer. With its improved adhesion, the SCMF demonstrates high conformality to skin movements, accurately following dynamic motions of the skin, resulting in reliable strain and bending angle signals. By applying the SCMF to finger joints, a system capable of reliably monitoring finger movements in a VR environment and classifying baseball grips using convolutional neural network (CNN) algorithms can be developed. The application is extended to 7 upper body parts, developing a real-time workout monitoring system in AR using change point detection and 2D CNN algorithms. The approach enhances accuracy and adaptability of motion tracking across immersive technologies, potentially transforming user experiences in various sectors.

关键词： augmented reality (AR) motion monitoring film skin-conformal sensor virtual reality (VR) workout monitoring

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SwarmCatcher: An AI-Powered Anti-Drone Surveillance System for Public Safety Over 5G and Beyond Ecosystems 28

SwarmCatcher: An AI-Powered Anti-Drone Surveillance System f...

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28th conference on Innovation in Clouds, Internet and Networks, ICIN 2025

作者： Kalafatidis, Sarantis Tsiktsiris, Dimitrios Trakos, Dimitrios Lalas, Antonios Votis, Konstantinos Tzovaras, Dimitrios Centre for Research and Technology Hellas Information Technologies Institute Greece

ISBN: (纸本)9798331542399

The proliferation of unmanned aerial vehicles (UAVs) presents significant challenges to public safety and critical infrastructure protection. This paper introduces SwarmCatcher, an innovative AI-powered anti-drone and surveillance system designed to detect and classify UAV threats in real-time. SwarmCatcher integrates multi-sensor technologies, including optical, thermal, RF, and acoustic systems, with advanced AI algorithms to provide thorough situational awareness. Utilizing the low-latency, high-throughput capabilities of cloud-native architecture and 5G networks, the system supports scalable deployment across diverse environments, offering rapid threat mitigation. Real trials were conducted, utilizing 5G infrastructures in the FIDAL and CERTH testbeds, evaluating and demonstrating SwarmCatcher’s potential to address the requirements of public safety agencies and pave the way for integration with 6G networks. The paper investigates SwarmCatcher’s architecture, key performance metrics, and its role in advancing next-generation vertical-specific applications for public safety. © 2025 IEEE.

关键词： 5G mobile communication systems

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A Versatile, Low-Cost Robotic System for Educational applications

A Versatile, Low-Cost Robotic System for Educational Applica...

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2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Phillips, Joseph M. Monroe, Charles Shue, Sam Conrad, James M. Unc Charlotte CharlotteNC United States

ISBN: (纸本)9798331504847

The rising cost of robotic platforms has created significant challenges for engineering students and academic institutions. High prices often make these platforms unaffordable for students, limiting their access to hands-on experience in robotics. Similarly, schools face financial strain in maintaining and upgrading such systems, which can hinder their ability to provide quality education in robotics and automation. This issue has become particularly pressing as robotics plays a critical role in engineering and technology curriculum. A solution to these issues is a low-cost, low-power robotic system that balances affordability with advanced functionality. A platform is needed that integrates essential features such as ROS (Robot Operating System), LiDAR, motor control, and camera vision, providing a comprehensive tool-set for learning and experimentation. Furthermore, the system should support simple functionality for beginners, but also be able to accommodate students wanting to progress to advanced robotic applications. This paper explores the design and development process of this robotic platform, highlighting its modular design, affordability, and versatility. © 2025 IEEE.

关键词： Robot Operating System

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4th International conference on Emerging Trends and Technologies on Intelligent systems, ETTIS 2024

4th International Conference on Emerging Trends and Technolo...

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4th International conference on Emerging Trends and Technologies on Intelligent systems, ETTIS 2024

ISBN: (纸本)9789819757022

The proceedings contain 55 papers. The special focus in this conference is on Emerging Trends and Technologies on Intelligent systems. The topics include: A Machine Learning-Based Cross-Layer DoS Attack Detection Technique for IoT;advanced Neural Network MRI Evaluation for Automated Knee Trauma Detection;enhancing Cybersecurity Defenses: A Comprehensive Exploration of Applied Artificial Intelligence Strategies;A Comprehensive Analysis of Artificial Intelligence Methods to Detect COVID-19 from Chest x-rays and CT Scans;a Blockchain-Based Land Registration System in the Indian Context Incorporating Mortgage and Legal Aspects;From Sparsity to Accuracy: Enhancing Recommendation systems with Item-Based Collaborative Filtering and SVD Matrix Factorization;a Comparative Analysis of Sorting Algorithms for Large-Scale Data: Performance Metrics and Language Efficiency;genetic Algorithm-Based Probability Distribution Fitting for Improved Classification of Echocardiogram Regions;Investigate the Properties of FTA Through Empirical Experimentation;BDSLL: Biomedical Document Recommendation Using Knowledge-Empowered Semantic Intercepted Large Language Models;a Review of Digital Twin and the Metaverse from the Standpoint of Smart Factories;A Comprehensive Patient Triage Algorithm Incorporating ChatGPT API for Symptom-Based Healthcare Decision-Making;enhancing Segmentation Accuracy of Diabetic Retinal Images Using Transform Techniques and deepLabV3+ with Ensemble Classification;predicting Ocean Currents: A Deep Learning Approach;Geotagging in Livestock Farming: AI-Based Technologies, applications, and Challenges;a Simulation-Based Approach to Evaluate the Effects of Cyberattacks Targeting Transducers in Control systems;urban Greens—An Initiative Towards Clean Air;Sign Languages and AI: A Survey of The Impact of Artificial Intelligence on Deafhood;cosine Similarity Preserving Curse of Dimensionality Reduction for Managing Computational Complexity;comprehensive Mathematical Analysis an

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MZI-based sensor for liquid recognition on the SiO2/TiO2 platform 29

MZI-based sensor for liquid recognition on the SiO2/TiO2 pla...

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Integrated Optics: Devices, Materials, and Technologies xxIx 2025

作者： Polatynski, Andrzej Kaźmierczak, Andrzej Stopiński, Stanislaw Slowikowski, Mateusz Wiśniewski, Piotr Juchniewicz, Marcin Piramidowicz, Ryszard Richter, André VPIphotonics GmbH Hallerstr. 6 Berlin10587 Germany Warsaw University of Technology Institute of Microelectronics and Optoelectronics Koszykowa 75 Warsaw00-662 Poland VIGO Photonics S.A. Poznańska 129/133 Mazowiecki Ożarów05-850 Poland LightHouse sp. z o.o. Stefczyka 34 Lublin20-151 Poland Warsaw University of Technology Centre for Advanced Materials and Technologies CEZAMAT Poleczki 19 Warsaw02-822 Poland

ISBN: (纸本)9781510684867

In addition to the telecom and datacom sectors, the photonic sensing sector is one of the fastest-growing markets for photonic integrated circuits (PICs). The ability to combine complex and multifunctional passive and active elements on a single photonic chip, along with the adaptability of the technological platform to specific applications, opens up opportunities to construct various structures tailored to specific purposes. One of the most popular solutions for PIC-based sensors involves the implementation of ring resonators. Unfortunately, these structures are highly sensitive to production variations, often causing issues with the predictability and repeatability of the entire sensing system. Promising alternatives to these elements are Mach-Zehnder interferometers (MZIs), which offer lower manufacturing variability and greater design flexibility, however, at the cost of increasing the final size of the PIC chip. In this work, we present and discuss the results of modeling and designing sensors based on MZI structures on a sol-gel-derived HYPHa (SiO2/TiO2) technological platform. Sol-gel aqueous phase deposition and the possibility of direct nanoimprinting of waveguide structures enable low-cost fabrication of integrated devices with low propagation loss. The study considers the impact of changes in the refractive index resulting from partial and/or complete coverage of the sensing area with the tested substance. Selective coverage of the sensor with the tested substance, although requiring an additional manufacturing process, allows for significant improvement in sensitivity. We tested both variants in several sensing systems, designed and fabricated for three different wavelengths in the visible and near-infrared regions (633, 1310, and 1550 nm), with the maximal sensitivity of over 32000 nm/RIU for the sensor designed for 1550 nm. © 2025 SPIE.

关键词： Mach-Zehnder interferometers

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advanced Modeling of Sodium-Ion Batteries for Electric Vehicles: Enabling Wireless Communication and Intelligent Transportation systems

Advanced Modeling of Sodium-Ion Batteries for Electric Vehic...

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Wireless Africa conference (WAC)

作者： Khanyisile Masemola Cuthbert Nyamupangedengu David G. Dorrell School of Electrical and Information Engineering University of the Witwatersrand Johannesburg South Africa Department of Mechanical & Material Engineering University of Turku Turku Finland

ISBN: (数字)9798331517588

ISBN: (纸本)9798331517595

Sodium-ion batteries (SIBs) have emerged as a viable substitute for lithium-ion batteries (LIBs) in electric vehicles (EVs) due to the growing need for sustainable energy solutions. A comprehensive modeling framework for SIBs designed especially for electric vehicle applications is presented in this paper, with a focus on how these batteries integrate with wireless communication and intelligent transportation systems (ITS). The thermal and electrochemical models of SIBs, their possible use in vehicle-to-everything (V2x) systems, and the wireless state-of-charge (SoC) monitoring via real-time communication protocols are investigated. Simulation results demonstrated the efficiency of SIBs in vehicular applications, their compatibility with wireless data transfer protocols, and their contribution to energy optimization in ITS. The paper concludes with insights into the future of SIBs in EVs and wireless transportation ecosystems.

关键词： Wireless sensor networks Protocols Simulation Transportation Real-time systems Batteries Dedicated short range communication Vehicle-to-everything Optimization Testing

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CTxNL: A Software-Hardware Co-designed Solution for Efficient CxL-Based Transaction Processing 25

CTXNL: A Software-Hardware Co-designed Solution for Efficien...

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30th ACM International conference on Architectural Support for Programming Languages and Operating systems, ASPLOS 2025

作者： Wang, Zhao Chen, Yiqi Li, Cong Guan, Yijin Niu, Dimin Guan, Tianchan Du, Zhaoyang Wei, xingda Sun, Guangyu School of Integrated Circuits School of Computer Science Peking University Beijing China Peking University School of Integrated Circuits Beijing China Damo Academy Alibaba Group Hupan Lab Hangzhou China Shanghai Jiao Tong University Institute of Parallel and Distributed Systems Seiee Shanghai China School of Integrated Circuits Beijing Advanced Innovation Center for Integrated Circuits Peking University Beijing China

ISBN: (纸本)9798400710797

Transaction processing systems are the crux for modern data-center applications, yet current multi-node systems are slow due to network overheads. This paper advocates for Compute Express Link (CxL) as a network alternative, which enables low-latency and cache-coherent shared memory accesses. However, directly adopting standard CxL primitives leads to performance degradation due to the high cost of maintaining cross-node cache coherence. To address the CxL challenges, this paper introduces CTxNL, a software-hardware co-designed system that implements a novel hybrid coherence primitive tailored to the loosely coherent nature of transactional data. The core innovation of CTxNL is empowering transaction system developers with the ability to selectively achieve data coherence. Our evaluations on OLTP workloads demonstrate that CTxNL enhances performance, outperforming current network-based systems and achieves up to 2.08x greater throughput than vanilla CxL memory sharing architectures across universal transaction processing policies. © 2025 ACM.

关键词： Cache memory

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Reconfigurable Ge2Sb2Te5/MoS2 Heterojunction Photodetector with High-Contrast Responsivity for Retinomorphic Vision Sensing

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advanced OPTICAL MATERIALS 2025年

作者： Wang, Yu Zhou, Yang Mu, Haoran Chen, Youchen Yang, Miaomiao Zhao, Zhenhe Zhang, Ke Zhang, Congwen xia, xue Chen, Weiqiang Lin, Shenghuang Songshan Lake Mat Lab Dongguan 523808 Guangdong Peoples R China South China Normal Univ Coll Biophoton Sch Optoelect Sci & Engn MOE Key Lab Laser Life Sci Guangzhou Guangdong Peoples R China South China Normal Univ Coll Biophoton Sch Optoelect Sci & Engn Guangdong Prov Key Lab Laser Life Sci Guangzhou Guangdong Peoples R China South China Normal Univ Coll Biophoton Sch Optoelect Sci & Engn Guangzhou Key Lab Spectral Anal & Funct Probes Guangzhou Guangdong Peoples R China

Reconfigurable photodetectors are crucial for applications such as adaptive sensing and dynamic imaging. However, conventional devices based on materials such as silicon typically require external electric fields and additional memory units, resulting in increased system complexity and energy consumption. Here, a self-driven, reconfigurable, and controllable photoresponse with a large responsivity contrast of up to 100 is achieved using a Ge2Sb2Te5 (GST)/MoS2 heterojunction, leveraging the integration of the reversible phase-transition capability of phase-change materials (PCMs) with the nonvolatile reconfigurable optoelectronic merits of two-dimensional (2D) materials. The reconfigurable GST/MoS2 heterojunction photodetector also demonstrates fast response times, excellent cycling stability, and a linear photocurrent-power relationship, supporting its use in real-time imaging systems. Furthermore, a 3 x 3 reconfigurable photodetector array is implemented as an optical convolution kernel for in-sensor image processing, achieving high-quality image recognition, contrast enhancement, and edge detection. This work positions phase-change-2D heterojunctions as a promising platform for next-generation reconfigurable photodetection and intelligent sensing technologies.

关键词： 2D photodetectors convolution phase-change materials visual sensor

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