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共 50189 条记录，以下是121-130 订阅

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Improved Extrinsic Calibration of Acoustic Cameras via Batch Optimization

Improved Extrinsic Calibration of Acoustic Cameras via Batch...

引用

2025 ieee International conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Li, Zhi Wang, Jiang Li, Xiaoyang Kong, He Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology Southern University of Science and Technology Shenzhen518055 China

ISBN: (纸本)9798350368741

Acoustic cameras have found many applications in practice. Accurate and reliable extrinsic calibration of the microphone array and visual sensors within acoustic cameras is crucial for fusing visual and auditory measurements. Existing calibration methods either require prior knowledge of the microphone array geometry or rely on grid search which suffers from slow iteration speed or poor convergence. To overcome these limitations, in this paper, we propose an automatic calibration technique using a calibration board with both visual and acoustic markers to identify each microphone position in the camera frame. We formulate the extrinsic calibration problem (between microphones and the visual sensor) as a nonlinear least squares problem and employ a batch optimization strategy to solve the associated problem. Extensive numerical simulations and real-world experiments show that the proposed method improves both the accuracy and robustness of extrinsic parameter calibration for acoustic cameras, in comparison to existing methods. To benefit the community, we open-source all the codes and data at https://***/AISLAB-sustech/AcousticCamera. © 2025 ieee.

关键词： Acoustic camera Optimization Sensor calibration

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Design and Implementation of Bridgeless CUK Converter with an Intelligent controller to Efficiently Power Multiple Loads

Design and Implementation of Bridgeless CUK Converter with a...

引用

2025 International conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Mohana Sundaram, N. Dharani, S. Karthick, M. Kumaraguru College of Technology Electrical and Electronics Engineering Coimbatore India

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509828

This project presents the design and implementation of a Bridgeless CUK Converter for powering multiple loads, utilizing an intelligent control system. The converter employs a novel bridgeless topology aimed at improving efficiency, reducing component count, and minimizing power losses. A hybrid control strategy comparing PID (Proportional-Integral-Derivative) and ANN (Artificial Neural Network) is developed to ensure precise voltage regulation for various loads. The PID controller provides initial stabilization, while ANN dynamically tunes parameters to optimize performance under varying load conditions. Experimental results demonstrate the system's high efficiency, fast transient response, and accurate voltage regulation, making it ideal for applications such as IoT devices, medical equipment, and renewable energy systems that demand multiple regulated outputs. © 2025 ieee.

关键词： Cuk converter

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Enhanced Power Inspection System Utilizing Metaverse technology

Enhanced Power Inspection System Utilizing Metaverse Technol...

引用

2025 International conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Yao, Ying Liu, Gang Electric Power Research Institute State Grid Zhejiang Electric Power Co. Ltd. HangZhou310014 China Computer Innovation Technology Research Institute Zhejiang University HangZhou311215 China

ISBN: (纸本)9798331509828

Digital twins, Metaverses, and virtualization are changing various applications under the form of Industry 4.0. In this context, this study proposes an enhanced power inspection system based on Metaverse technology. This system aims to solve two problems: 1. Improve the security of the power system and realize real-time monitoring and early warning of the power grid;2. Virtualize remote control and use Metaverse for power grid inspection. The designed system uses the Metaverse platform to build a virtual power system environment, and detects faults and abnormalities of power equipment through real-time monitoring and intelligent analysis. The system adopts the technology acceptance model theory to design the user interface and improve user acceptance. The experimental part discusses the construction of the virtual environment and the simulation of business processes. The results show that the system can effectively detect faults and abnormalities of power equipment and improve the safety and reliability of the power system. © 2025 ieee.

关键词： Inspection equipment

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Location Data Publishing Mechanism in Semi-Trusted Vehicle Networks based on Differential Privacy

Location Data Publishing Mechanism in Semi-Trusted Vehicle N...

引用

2024 International conference on Mechatronics and Intelligent control, ICMIC 2024

作者： Zhao, Zheng Zhang, Tianhao Mao, Qian Zhao, Qi Xie, Xin Dalian Maritime University Dalian China Liaoning University Shenyang China Northeastern University Shenyang China Hunan University of Information Technology Changsha China Hunan Province Higher Education Key Laboratory of Intelligent Sensing and Computing Changsha China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Vehicular ad-hoc networks (VANETs) are essential in mobile ad-hoc network applications, utilizing vehicle location data. However, safeguarding the privacy and security of this data is challenging, especially with untrusted roadside units. To address this, we propose a novel differential privacy-based location data publishing mechanism. It consists of three key components: dynamic group leader selection, data aggregation, and privacy-preserving data publishing. The group leader selection algorithm is based on directional thresholds, hop cycles, and lifespans, assuming semi-trusted vehicles. Additionally, the differential privacy-based algorithm uses map grid segmentation, privacy budget recovery, and a filtering mechanism to ensure location privacy. Comparative experiments show that our scheme outperforms existing models in total hops, group leader lifetime, and mean absolute error. © 2025 SPIE.

关键词： Differential privacy

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UniTMGE: Uniform Text-Motion Generation and Editing Model via Diffusion

UniTMGE: Uniform Text-Motion Generation and Editing Model vi...

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

作者： Wang, Ruoyu He, Yangfan Sun, Tengjiao Li, Xiang Shi, Tianyu Tsinghua University China University of Minnesota - Twin Cities Henan Runtai Digital Technology Group Co. Ltd. United States University of Southampton United Kingdom Li Auto Inc. China University of Toronto Canada

ISBN: (纸本)9798331510831

Current methods have shown promising results in applying diffusion models to motion generation given text input. However, these methods are limited to unimodal inputs and outputs, restricted to motion generation alone, and lacking multimodal control capabilities. To address these issues, we introduce UniTMGE, a text-motion multimodal generation and editing framework based on diffusion. UniTMGE overcomes single-modality limitations, enabling exceptional performance and strong generalization across multiple tasks like text-driven motion generation, motion captioning, motion completion, and multimodal motion editing. UniTMGE comprises three components: UTMV for mapping text and motion into a shared latent space using contrastive learning, a controllable diffusion model customized for the UTMV space, and MCRE for unifying multimodal conditions into CLIP representations, enabling precise multimodal control and flexible motion editing through simple linear operations. We conducted both closed-world experiments and open-world experiments using the Motion-X dataset with detailed text descriptions, with results demonstrating our model's effectiveness and generalizability across multiple tasks. © 2025 ieee.

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8GHz Multi-Phase Ring VCO Design with Wide Tuning Range for SerDes applications in 6nm FinFET Process 38

8GHz Multi-Phase Ring VCO Design with Wide Tuning Range for ...

引用

38th International conference on VLSI Design, VLSID 2025

作者： Reddy, Ravuru Vasudeva Rapina, Siva Kumar Hazra, Siddhartha Sarangam, K. Microchip Technology India Pvt. Ltd Mixed Signal Development Group Bangalore India National Institute of Technology Department of ECE Warangal India

ISBN: (纸本)9798331522445

In this paper the design of 8-phase, 8GHz pseudo Differential Ring Oscillator (DRO), in 6nm FinFET process technology with a supply voltage of 0.8V ± 5% and temperature range of -40°C to +125°C, is shown. Two Basic Delay Cells (BDC-l and BDC-2) are proposed and the performance of the DROs, using the two BDCs, are compared with architectures from the literature. The DROs, using BDC-l and BDC-2, have wide Frequency Tuning Range (FTR) of 4GHz (from 9.5GHz to 5.5GHz) and 3.29GHz (from 9.29GHz to 6GHz) with a Phase Noise (PN) of -78.43dBc/Hz and -83.41dBc/Hz @ 1MHz offset from the carrier frequency, respectively under nominal PVT conditions. The input control Voltage Tuning Range (VTR) is approximately from 0.16V to 0.64V (i.e., 20% to 80% of the nominal supply voltage). The BDC-l and BDC-2 based DROs have an average power of 19.5mW and 25.6mW respectively. © 2025 ieee.

关键词： FinFET

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FPGA-based UWB Pulse Generator for IR-UWB Chipless RFID Reader 6

FPGA-based UWB Pulse Generator for IR-UWB Chipless RFID Read...

引用

6th Australian Microwave Symposium, AMS 2025

作者： Lasantha, Likitha Aliasgari, Javad Khan, Shahed I. Ray, Biplob Karmakar, Nemai C. Monash University Department of Electrical and Computer Systems Engineering Clayton Australia Central Queensland University School of Engineering and Technology Melbourne Australia

ISBN: (纸本)9798350379969

Ultra-wideband (UWB) technology has gained traction for applications demanding high bandwidth, precise target localisation, and low power consumption. This paper presents an FPGA-based UWB pulse generator tailored for an Impulse-radio (IR) UWB chipless RFID reader. Using a low-cost FPGA platform, the design generates a square wave signal with a pulse repetition frequency (PRF) of 1-50 MHz. This base signal undergoes pulse sharpening to produce picosecond-scale pulses, achieving the bandwidth exceeding 500 MHz necessary for UWB communication. Such a high-bandwidth signal ensures better range resolution, meeting the requirements of applications of UWB chipless RFID readers. By implementing pulse generation and PRF control on an FPGA, our system combines low cost, flexibility, and scalability, making it suitable for diverse UWB applications. © 2025 ieee.

关键词： Ultra-wideband (UWB)

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Inter-Stream Dependencies in Time-Sensitive Networking 28

Inter-Stream Dependencies in Time-Sensitive Networking

引用

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

作者： Chahed, Hamza Yarvis, Mark Frick, Florian Kassler, Andreas Intel Deutschland GmbH Germany Intel Corporation United States Department of Mathematics and Computer Science Karlstad University Karlstad Sweden Institute for Control Technology of Machine Tools and Manufacturing Equipment University of Stuttgart Germany Faculty of Applied Computer Science Deggendorf Institute of Technology Deggendorf Germany

ISBN: (纸本)9798331542399

Effective configuration of Time-Sensitive Networks is crucial for providing timeliness and reliability guarantees for real-time industrial applications, where many inter-dependent streams may co-exist. However, existing methods for specifying the characteristics of real-time streams to the Centralized Network Configuration element (CNC) do not allow the specification of stream dependencies. Consequently, the CNC may schedule the real-time streams in a sub-optimal way, leading to low number of real-time applications supported. To address this pressing issue, we present methods that allow to model and express such inter-stream dependencies and propose extensions to the user network interface (UNI) to convey these dependencies to the CNC, transforming it into an intent-based UNI. We define a novel metric to evaluate a specific network configuration regarding the latency budget available for scheduling the transmission of a stream. Using a set of numerical simulations, we show that when exploiting the knowledge of inter-stream dependencies, we can derive better network schedules, which results in significant increase in applications onboarding up to 2.2x and increased network utilization for real-time streams up to 3x. © 2025 ieee.

关键词： Budget control

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Revolutionizing Face Recognition with IIoT: Smarter, Faster, Connected

Revolutionizing Face Recognition with IIoT: Smarter, Faster,...

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2025 International conference on Computer, Electrical and Communication Engineering, ICCECE 2025

作者： Grover, Yash Sharma, Pulkit Kansal, Nishtha Vivekananda Institute of Professional Studies School of Engineering & Technology Technical Campus New Delhi India

ISBN: (纸本)9798331513894

The integration of facial recognition technology with Industrial Internet of Things (IIoT) systems offers significant potential to enhance operational efficiency, security, and safety within industrial environments. Automating processes like access control and attendance tracking minimizes human intervention, reduces errors, and streamlines workflows. From a security perspective, facial recognition strengthens access management, reduces unauthorized entries, and enhances real-time surveillance capabilities. In safety-critical industries, this technology can enforce compliance with protective protocols and monitor workers' well-being by detecting signs of fatigue or stress. Additionally, the use of artificial intelligence (AI) and machine learning facilitates real-time data analysis, providing insights to optimize operations and prevent system failures. This paper further examines the broader applications of IoT-driven facial recognition, highlighting promising research areas such as intelligent security systems, biometric authentication, automated surveillance, and smart access control. Practical implementations span smart homes, healthcare monitoring, financial transactions, and public safety, where real-time facial identification enhances both security and operational performance. Despite these advantages, challenges like data privacy concerns and the need for robust technological infrastructure remain critical. Strategies such as data encryption, edge computing, and adherence to privacy regulations like GDPR are essential to protect personal information. As advancements in AI, machine learning, and 5G networks continue, facial recognition systems integrated with IIoT will become increasingly accurate and efficient, paving the way for smarter, more secure, and highly efficient industrial and public environments. © 2025 ieee.

关键词： Access control

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TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models

TrackDiffusion: Tracklet-Conditioned Video Generation via Di...

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

作者： Li, Pengxiang Chen, Kai Liu, Zhili Gao, Ruiyuan Hong, Lanqing Yeung, Dit- Yan Lu, Huchuan Jia, Xu Dalian University of Technology China Hong Kong University of Science and Technology Hong Kong Huawei Noah's Ark Lab Canada The Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9798331510831

Despite remarkable achievements in video synthesis, achieving granular control over complex dynamics, such as nuanced movement among multiple interacting objects, still presents a significant hurdle for dynamic world modeling, compounded by the necessity to manage appearance and disappearance, drastic scale changes, and ensure consistency for instances across frames. These challenges hinder the development of video generation that can faithfully mimic real-world complexity, limiting utility for applications requiring high-level realism and controllability, including advanced scene simulation and training of perception systems. To address that, we propose TrackDiffusion, a novel video generation framework affording fine-grained trajectory-conditioned motion control via diffusion models, which facilitates the precise manipulation of the object trajectories and interactions, overcoming the prevalent limitation of scale and continuity disruptions. A pivotal component of TrackDiffusion is the instance enhancer, which explicitly ensures inter-frame consistency of multiple objects, a critical factor overlooked in the current literature. More-over, we demonstrate that generated video sequences by our TrackDiffusion can be used as training data for visual per-ception models. To the best of our knowledge, this is the first work to apply video diffusion models with tracklet conditions and demonstrate that generated frames can be beneficial for improving the performance of object trackers. © 2025 ieee.

关键词： Interdiffusion (solids)

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