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检索条件"任意字段=7th IEEE International Conference on Engineering of Complex Computer Systems"

共 20108 条记录，以下是51-60 订阅

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Navigation of Mobile Robot with Nav2 and SLAM Using LiDAR 4

Navigation of Mobile Robot with Nav2 and SLAM Using LiDAR

引用

4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Shrestha, Suwash Parajuli, Sudip Shah, Pawan Shrestha, Basanta Guragai, Manoj Kumar Institute of Engineering Department of Electronics and Computer Engineering Purwanchal Campus Dharan Dharan Nepal Tribhuwan University IoE Department of Electronics and Computer Engineering Eastern Regional Campus Dharan Nepal

ISBN: (纸本)9798331523923

this paper dives into the world of autonomous mobile robot navigation that achieves seamless integration between Robot Operating System (ROS2) and microcontroller-based systems without relying on standard ROS control packages. Unlike conventional methods that depend on dedicated ROS hardware integration packages, the system implements a traditional serial communication that enables direct interfacing with Arduino microcontrollers. Upon successful demonstration, real-time data handling and efficient buffer management on Arduino Mega was achieved by overcoming the memory limitations encountered with Arduino Uno. the implementation includes a custom joint state publisher that ensures precise synchronization between the physical robot and its simulated counterpart along with the deployment of the Robot Operating System (ROS2) and the Navigation Stack (Nav2) with Cartographer ROS, using their capabilities for precise environment mapping, navigation, and complex path planning in mobile robotics. Our system achieves accurate robot movement through careful calibration and real-world parameter measurements, incorporating detailed inertial calculations for improved motion control. this approach improves the precision of autonomous navigation and broadens the applicability of the robot in various scenarios, ranging from disaster management and indoor navigation to warehouse logistics. © 2025 ieee.

关键词： Robot Operating System

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6 GHz Lithium Niobate on Insulator Low-Loss Saw Delay Line Adapting Non-Leaky Composite Waveguide Mode 38

6 GHz Lithium Niobate on Insulator Low-Loss Saw Delay Line A...

引用

38th ieee international conference on Micro Electro Mechanical systems, MEMS 2025

作者： Lee, Zhi-Qiang Huang, Sung-Yuan Hsu, Tzu-Hsuan Campbell, Joshua Kramer, Jack Lu, Ruochen Li, Ming-Huang National Tsing Hua University Department of Power Mechanical Engineering Hsinchu Taiwan The University of Texas Department of Electrical and Computer Engineering AustinTX United States

ISBN: (纸本)9798331508890

In this study, a high-performance C-band surface acoustic wave (SAW) delay line is demonstrated on a thin-film lithium niobate on insulator (LNOI) platform. By optimizing the thickness ratio of the LN and SiO2 layers, a non-leaky composite waveguide (CWG) mode with shear-horizontal (SH) surface motion is achieved. this mode offers inherently high electromechanical coupling and effectively confines acoustic energy within the thin-film LN layer. the resulting CWG-mode acoustic delay line (ADL), with a wavelength of 0.7 μm, achieves an insertion loss (IL) of 7 dB, a fractional bandwidth (FBW) of 3.14%, and a group delay (GD) of 21.8 ns at a center frequency of 6 GHz, demonstrating competitive performance compared to state-of-the-art time-delay devices operating in the same frequency range. © 2025 ieee.

关键词： Group delay

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Imagined Speech State Classification for Robust Brain-computer Interface 13

Imagined Speech State Classification for Robust Brain-Comput...

引用

13th international Winter conference on Brain-computer Interface, BCI 2025

作者： Ko, Byung-Kwan Kim, Jun-Young Lee, Seo-Hyun Dept. of Artificial Intelligence Korea University Seoul Korea Republic of Dept. of Brain and Cognitive Engineering Korea University Seoul Korea Republic of

ISBN: (纸本)9798331521929

this study examines the effectiveness of traditional machine learning classifiers versus deep learning models for detecting the imagined speech using electroencephalogram data. Specifically, we evaluated conventional machine learning techniques such as CSP-SVM and LDA-SVM classifiers alongside deep learning architectures such as EEGNet, ShallowConvNet, and DeepConvNet. Machine learning classifiers exhibited significantly lower precision and recall, indicating limited feature extraction capabilities and poor generalization between imagined speech and idle states. In contrast, deep learning models, particularly EEGNet, achieved the highest accuracy of 0.7080 and an F1 score of 0.6718, demonstrating their enhanced ability in automatic feature extraction and representation learning, essential for capturing complex neurophysiological patterns. these findings highlight the limitations of conventional machine learning approaches in brain-computer interface (BCI) applications and advocate for adopting deep learning methodologies to achieve more precise and reliable classification of detecting imagined speech. this foundational research contributes to the development of imagined speech-based BCI systems. © 2025 ieee.

关键词： Contrastive Learning

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Machine Learning-Enhanced Overcoupled Plasmonic Resonators for Biomolecular Detection 38

Machine Learning-Enhanced Overcoupled Plasmonic Resonators f...

引用

38th ieee international conference on Micro Electro Mechanical systems, MEMS 2025

作者： Li, Dongxiao Zhou, Hong Ren, Zhihao Xu, Cheng Lee, Chengkuo National University of Singapore Department of Electrical & Computer Engineering Singapore

ISBN: (纸本)9798331508890

Plasmonic biosensors offer a unique opportunity to precisely control light-matter coupling in surface-enhanced infrared absorption (SEIRA) spectroscopy. However, the broadband nature of infrared spectra and the complex molecular information pose challenges in detecting and distinguishing biomolecules. Here, we propose the design of an overcoupled plasmonic resonator with ultrasensitive (7.25%/nm) and ultrabroadband (1000-3333 cm-1) sensing capabilities. these features allow the resonator to enhance multiple molecular fingerprint vibrations with high sensitivity. To further unlock the sensor's potential, machine learning is employed, achieving 100% accuracy in identifying five biomolecules based on rich vibrational data. With outstanding sensing performance and molecular recognition capabilities, the machine-learning-enhanced overcoupled resonator paves the way for broader SEIRA applications. © 2025 ieee.

关键词： Infrared absorption

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IoT Based Monitoring System for Health During Menstruation 4

IoT Based Monitoring System for Health During Menstruation

引用

4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Khadse, Chinmaya Hajare, Shital Sheikh, Nishad Dahule, Roshni Kate, Priya Datta Meghe Institute of Higher Education and Research Faculty of Engineering and Technology Department of Computer Science and Engineering Sawangi Maharashtra Wardha442001 India Datta Meghe Institute of Higher Education and Research Faculty of Engineering and Technology Department of Artificial Intelligence and Machine Learning Sawangi Maharashtra Wardha442001 India Datta Meghe Institute of Higher Education and Research Faculty of Engineering and Technology Department of Computer Science and Engineering Sawani Maharashtra Wardha442001 India

ISBN: (纸本)9798331523923

the integration of IoT and ML brought forth new prospective solutions in menstrual health management, pertaining to continuous monitoring of physiological signals and personalization of insights for women. this article discusses the usage of IoT, smartphones, and cloud-based systems for tracking vital signs, temperature, pulse rate, and flow of menstruation that will enable pro-active management of the cycle. the use of ML algorithms, including supervised models-like Random Forest and Logistic Regression-and complex techniques like RNNs and LSTM networks-offers added advantages for predicting menstrual cycles and ovulation. these technologies offer personalized health recommendations, early diagnosis of menstrual disorders, and help in communicating with healthcare providers in a very short span of time. While offering huge potential to improve women's health, concerns around data privacy, ethical considerations, and equitable access to these digital health solutions are highlighted. the existing systems showed improvements yet they encountered problems because of insufficient data diversity and health system integration as well as insufficient personalization and imprecise cycle predictions. Data privacy issues and security threats that stem from ML models along with constant bias concerns prevent broad acceptance of ML systems in general use. this research study analyzes IoT and ML applications in menstrual health today and introduces their advantages as well as the barriers that require resolution before mass acceptance can occur. the proposal introduces an approach to create menstrual tracking software through a combination of rule-based systems with ML algorithms that generates precise forecasts alongside tailored information for women who have PCOS or PCOD. © 2025 ieee.

关键词： Electronic health record

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Mechanical Electrical Automation Control System Based on PLC Technology 5

Mechanical Electrical Automation Control System Based on PLC...

引用

5th ieee international conference on Power, Electronics and computer Applications, ICPECA 2025

作者： Su, Shengheng College of Electrical Engineering Northwest Minzu University Lanzhou Gansu China

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533694

In response to the increasingly complex mechanical and electrical automation control needs in modern industry, this paper studies a mechanical and electrical automation control system design scheme based on PLC (Programmable Logic Controller) technology. this study first starts with the system architecture and builds an industrial automation control system, including power supply, input/output modules, control logic, human-computer interaction, communication and safety modules. the system core uses Siemens S7-1500 PLC;the input/output module uses photoelectric isolation technology to improve signal stability;the control logic module integrates the adaptive PID (Proportion Integral Differential) algorithm;the human-computer interface realizes real-time data and alarm display based on the WinCC platform. the communication module uses the PROFINET network enhanced by TSN (Time-Sensitive Networking);the safety module is designed with emergency stop and light curtain sensor mechanisms. During the test, the performance of the system is verified through hardware-in-the-loop (HIL) simulation technology, and the stability and parameter sensitivity of the control algorithm are analyzed using the gray box test method. Experimental results show that in the position control experiment, the maximum absolute error of the system is 0.1 mm, the velocity fluctuation rate is controlled within pm 0.3 %, and the force control error is maintained within pm 0.2 ∼N. Under a variety of load and environmental conditions, the system exhibits excellent dynamic response and robustness. the research results show that the PLC control system designed in this paper has strong adaptability and efficiency in industrial automation control applications, and can effectively meet the needs of modern industry for high-precision control and multi-device collaboration. © 2025 ieee.

关键词： Digital storage

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Advancing Extended Reality with 3D Gaussian Splatting: Innovations and Prospects 7

Advancing Extended Reality with 3D Gaussian Splatting: Innov...

引用

7th ieee international conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2025

作者： Qiu, Shi Xie, Binzhu Liu, Qixuan Heng, Pheng-Ann Department of Computer Science and Engineering The Chinese University of Hong Kong HKSAR China Institute of Medical Intelligence and XR The Chinese University of Hong Kong HKSAR China

ISBN: (纸本)9798331521578

3D Gaussian Splatting (3DGS) has attracted significant attention for its potential to revolutionize 3D representation, rendering, and interaction. Despite the rapid growth of 3DGS research, its direct application to Extended Reality (XR) remains underexplored. Although many studies recognize the potential of 3DGS for XR, few have explicitly focused on or demonstrated its effectiveness within XR environments. In this paper, we aim to synthesize innovations in 3DGS that show specific potential for advancing XR research and development. We conduct a comprehensive review of publicly available 3DGS papers, with a focus on those referencing XR-related concepts. Additionally, we perform an indepth analysis of innovations explicitly relevant to XR and propose a taxonomy to highlight their significance. Building on these insights, we propose several prospective XR research areas where 3DGS can make promising contributions, yet remain rarely touched. By investigating the intersection of 3DGS and XR, this paper provides a roadmap to push the boundaries of XR using cutting-edge 3DGS techniques. © 2025 ieee.

关键词： 3D modeling

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MS2Mesh-XR: Multi-Modal Sketch-to-Mesh Generation in XR Environments 7

MS2Mesh-XR: Multi-Modal Sketch-to-Mesh Generation in XR Envi...

引用

7th ieee international conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2025

作者： Tong, Yuqi Qiu, Yue Li, Ruiyang Qiu, Shi Heng, Pheng-Ann Department of Computer Science and Engineering The Chinese University of Hong Kong HKSAR China Institute of Medical Intelligence and XR The Chinese University of Hong Kong HKSAR China

ISBN: (纸本)9798331521578

We present MS2Mesh-XR, a novel multimodal sketch-to-mesh generation pipeline that enables users to create realistic 3D objects in extended reality (XR) environments using hand-drawn sketches assisted by voice inputs. In specific, users can intuitively sketch objects using natural hand movements in mid-air within a virtual environment. By integrating voice inputs, we devise ControlNet to infer realistic images based on the drawn sketches and interpreted text prompts. Users can then review and select their preferred image, which is subsequently reconstructed into a detailed 3D mesh using the Convolutional Reconstruction Model. In particular, our proposed pipeline can generate a high-quality 3D mesh in less than 20 seconds, allowing for immersive visualization and manipulation in runtime XR scenes. We demonstrate the practicability of our pipeline through two use cases in XR settings. By leveraging natural user inputs and cutting-edge generative AI capabilities, our approach can significantly facilitate XR-based creative production and enhance user experiences. Our code and demo will be available at: https://***/MS2Mesh-XR/. © 2025 ieee.

关键词： Mesh generation

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Machine Learning-Aided Polaronic Nanoantennas for Label-Free Bioimaging of Virus Monolayers 38

Machine Learning-Aided Polaronic Nanoantennas for Label-Free...

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38th ieee international conference on Micro Electro Mechanical systems, MEMS 2025

作者： Zhou, Hong Li, Dongxiao Ren, Zhihao Xu, Cheng Lee, Chengkuo National University of Singapore Department of Electrical & Computer Engineering Singapore

ISBN: (纸本)9798331508890

the rapid identification and diagnosis of viruses through saliva are highly desirable for molecular diagnostics but face significant challenges due to the low concentration of viruses and interference from other biomolecules, such as proteins and lipids. Here, we discovered that coupled modes of surface plasmon polaritons and surface phonon polaritons exhibit ultra-sensitivity to the infrared vibrations of nearby molecules. Remarkably, this sensitivity extends not only to the vibrational intensity but also to the vibrational characteristics of these molecules. this unique capability enables the coupled modes to overcome the aforementioned challenges, allowing for ultra-sensitive and accurate virus identification in complex biological environments. As a proof of concept, we conducted hyperspectral bioimaging of severe acute respiratory syndrome (SARS)-related coronaviruses in saliva. With machine learning algorithms, we achieved a detection limit at the molecular monolayer level, with an accuracy of 93% and a detection time of just 10 minutes. Notably, this is the first instance of label-free imaging of SARS virus molecular monolayers. © 2025 ieee.

关键词： Polariton

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Immersive Technologies to Height Safety: Training Evaluation and Insights 7

Immersive Technologies to Height Safety: Training Evaluation...

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7th ieee international conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2025

作者： Cordeiro, André Leite, Regina Gregory, Lucas Catapan, Márcio Siqueira, Alexandre Silva, Tiago Brandão, Matheus Ambrosio, Paulo Reis, Pedro Winkler, Ingrid Pharmaceutical Technology Institute Oswaldo Cruz Foundation Rio de Janeiro Brazil Bahia Federal Institute Civil Construction Department Salvador Brazil PPG-Design Paraná Federal University Curitiba Brazil College of Engineering University of Florida Gainesville United States Nova School of Sci. and Technology Dept. of Mech. and Ind. Engineering Caparica Portugal Santa Cruz State University Dept. of Engineering and Computing Ilhéus Brazil School of Engineering and Technology Lusiada University Vila Nova Famalicão Portugal Incite Industria 4.0 Senai Cimatec Salvador Brazil

ISBN: (纸本)9798331521578

Falls from height remain a leading cause of workplace fatalities worldwide, emphasizing the need for effective training. this study examines virtual reality as an immersive tool for safety training evaluation, focusing on working at height. Using the Design Science Research approach, we developed an immersive environment simulating a 33-meter-high scenario, then tested with ten participants performing tasks. Data from observations, error reports, interviews, and Presence Questionnaire showed high engagement, immersion, and effective identification of unsafe behaviors. these findings highlight virtual reality's potential to enhance safety training and inform future improvements in sensory realism and scalability. © 2025 ieee.

关键词： Virtual environments

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