检索结果-内蒙古大学图书馆

24th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024

作者： Liu, Xinyu Ren, Wei Liu, Wenmao Zheng, Xianghan School of Computer Science China University of Geosciences Wuhan430078 China NSFOCUS Technologies Group Company Ltd. Beijing China College of Computer and Big Data Fuzhou University Fujian Fuzhou350000 China School of Information and Intelligent Engineering Sanya College Hainan China

ISBN: (纸本)9789819615445

Data watermark is of the surmount importance for data trading. Most of the data in the current data trading market is stored in the form of spreadsheets, yet there are few watermarking schemes specifically designed for tables. We propose a bitmap-based watermark scheme for table data. Our approach involves converting the table into a bitmap representation and utilizing classical image processing algorithms to embed a watermark that incorporates error correction codes. The watermarked data is then returned to its corresponding positions in the table. During the table conversion process, we apply the principle of minimal modification to minimize the impact of watermark embedding on the table data. Experimental evaluations demonstrate the effectiveness of the proposed scheme in preserving data integrity and accurately extracting watermarks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Data integrity

来源：评论

学校读者我要写书评

暂无评论

Practical aberration correction using deep transfer learning with limited experimental data

引用

Optics Express 2025年第6期33卷 14431-14444页

作者： Kok, Yong En Bentley, Alexander Parkes, Andrew J. Somekh, Michael G. Wright, Amanda J. Pound, Michael P. University of Nottingham School of Computer Science NottinghamNG8 1BB United Kingdom Optics and Photonics Group Department of Electrical and Electronic Engineering University of Nottingham NottinghamNG7 2RD United Kingdom Research Center for Humanoid Sensing Zhejiang Laboratory Hangzhou3111100 China

Adaptive optics is a technique for correcting aberrations and improving image quality. When adaptive optics was first used in microscopy, it was common to rely on iterative approaches to determine the aberrations present. It is advantageous to avoid iteration, and therefore there has been a shift to deep learning for aberration prediction. However, issues remain regarding the practicalities of machine learning for adaptive optics, an important one being the requirement for a large training dataset. Here, we explore transfer learning to overcome this need for data by pre-training a network on a large simulated dataset and fine-tuning it with reduced experimental data for application in an experimental setting. We demonstrate that the pre-trained network can make noticeable improvements with fine-tuning on just 24 experimental samples. To further enhance practicality, we significantly extend the range of aberrations present, predicting up to 25 Zernike modes with each coefficient ranging from −1 to 1, and perform a thorough analysis of the type and magnitude of phase-diversity required in the input data for a successful network. Our approach demonstrates substantial aberration reduction on experimental data for 10 Zernike modes, with an average 73% decrease in RMS wavefront error from 1.81 to 0.48 rad when correction is applied. This method achieves complete experimental image capture and aberration inference at rates comparable to the image acquisition time of a typical laser scanning microscope. Additionally, we consider the benefits of further improvements via an iterative step. As such, this work addresses some of the key practical hurdles that remain in the use of deep learning for aberration prediction and correction. © 2025 Optica Publishing group (formerly OSA). All rights reserved.

关键词： Adaptive optics

来源：评论

学校读者我要写书评

暂无评论

Converter-Based Supercapacitor Emulator for Photovoltaic Applications

IEEE Open Journal of Industry Applications

引用

IEEE Open Journal of Industry Applications 2025年 6卷 178-190页

作者： Kritprajun, Paychuda Tolbert, Leon M. Sutton, Elizabeth Liu, Yunting Wang, Jingxin Praisuwanna, Nattapat Ferrari, Maximiliano University of Tennessee Department of Electrical Engineering and Computer Science KnoxvilleTN37996 United States The Pennsylvania State University Department of Electrical Engineering University ParkPA16802 United States Oak Ridge National Laboratory Grid Systems Architecture Group Oak RidgeTN37830 United States

As the utilization of supercapacitors in power system applications continues to increase, it is important to observe their behavior under transient and long-term operations to understand their impact on power grids. A real-time reconfigurable hardware testbed (HTB) is a power network emulator that provides flexibility in studying various power system scenarios. This work presents an emulation of a supercapacitor for a photovoltaic (PV) system on the HTB platform such that its dynamic behavior during power system scenarios can be observed. The developed emulator on the HTB is verified by comparing the emulation results with the model developed in MATLAB/Simulink. An improvement of grid frequency support control is proposed to enable fast-frequency recovery service provided by a grid-connected PV with SC system (PVSS). The experimental results of the emulator are consistent with the simulation results under grid support scenarios. This supercapacitor emulator can potentially be used for various power system scenarios supporting other research in addition to the PV applications presented in this paper. © 2020 IEEE.

关键词： Electric power transmission networks

来源：评论

学校读者我要写书评

暂无评论

Intra-Operative 3D Modeling of Side Branch Vessels for IVUS-Guided Catheter Navigation

IEEE Transactions on Medical Robotics and Bionics

引用

IEEE Transactions on Medical Robotics and Bionics 2025年第2期7卷 443-454页

作者： Baratam, Beatriz Farola Beckers, Wim-Alexander Borghesan, Gianni Dall'alba, Diego Bennett, Johan Mccutcheon, Keir Fiorini, Paolo Sloten, Jos Vander Poorten, Emmanuel Vander KU Robot-Assisted Surgery Group Department of Mechanical Engineering Leuven Belgium University of Verona Altair Robotics Laboratory Department of Computer Science Verona Italy Flanders Leuven Leuven Belgium KU Leuven Department of Cardiovascular Sciences Leuven3000 Belgium UZ Leuven Department of Cardiovascular Diseases Leuven3000 Belgium

Despite continuous advances in three-dimensional (3D) fusion imaging, two-dimensional (2D) X-ray-based fluoroscopy is still the gold standard intra-operative image guidance tool in endovascular interventions. The adoption of robotic technology offers the potential to bring intra-operative radiation exposure down to a minimum, or even eliminate it. Non-ionizing approaches, such as Intravascular Ultrasound (IVUS), are progressively explored as standalone or fluoroscopy-adjunct techniques for 3D vasculature reconstruction. We have previously demonstrated the feasibility of real-time 3D Main Vessel (MV) modeling from the fusion of IVUS and EM pose data obtained from sensors embedded at the tip of a robotic catheter. This paper proposes to advance MV modeling towards a comprehensive radiation-free 3D guidance framework by means of intra-operative Side Branch (SB) detection and modeling. Two models are proposed to approximate the geometry of SB vessel ostia: a sphere and a cylinder. An Unscented Kalman Filter (UKF) recursively estimates the state of these models considering the MV model, while the catheters navigates through the vessel. In silico and in vitro validation results show the potential clinical value of the proposed strategy for facilitating safer robotic catheter steering. © 2018 IEEE.

关键词： Medical robotics

来源：评论

学校读者我要写书评

暂无评论

Coverage Probability of EH-enabled LoRa networks - A Deep Learning Approach

EAI Endorsed Transactions on Industrial Networks and Intelli...

引用

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 2025年第2期12卷 1-11页

作者： Nguyen, Thi-Tuyet-Hai Hung, Tran Cong Son, Nguyen Hong Hanh, Tan Duy, Tran Trung Tu, Lam-Thanh Faculty of Information Technology Posts and Telecommunications Institute of Technology Viet Nam School of Computer Science & Engineering Saigon International University Ho Chi Minh City Viet Nam Faculty of Telecommunications Posts and Telecommunications Institute of Technology Viet Nam Communication and Signal Processing Research Group Faculty of Electrical and Electronics Engineering Ton Duc Thang University Ho Chi Minh City Viet Nam

The performance of energy harvesting (EH)-enabled long-range (LoRa) networks is analyzed in this work. Specifically, we employ deep learning (DL) to estimate the coverage probability (Pcov) of the considered networks. Our study incorporates a general fading distribution, specifically the Nakagami-m distribution, and utilizes tools from stochastic geometry (SG) to model the spatial distributions of all nodes and end-devices (EDs) with EH capability. The DL approach is employed to overcome the limitations of model-based methods that can only evaluate the Pcov under simplified network conditions. Therefore, we propose a deep neural network (DNN) that estimates the Pcov with high accuracy compared to the ground truth values. Additionally, we demonstrate that DL significantly outperforms the Monte Carlo simulation approach in terms of resource consumption, including time and memory. © (2025), (European Alliance for Innovation). All rights reserved.

关键词： Coverage probability deep learning energy harvesting long range power beacon

来源：评论

学校读者我要写书评

暂无评论

Oxygen Extraction and Blood Transport in the Human Retina: A Mathematical Modelling and Analysis

Oxygen Extraction and Blood Transport in the Human Retina: A...

引用

2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025

作者： Kumar, Aadesh Awasthy, Neeta Singh, Bholey Deolia, Rajesh Kumar Kumar, Satendra Sengar, R.S. Gl Bajaj Group of Institutions Department of Applied Science and Humanities Mathura India Gl Bajaj Group of Institutions Department of Computer Science and Engineering Mathura India

ISBN: (纸本)9798331527495

This study aims to describe the intricate flow of blood within the retinal tissue. The main findings of this research are the introduction of a quantitative method to calculate total oxygen extraction using retinal measurements of total blood flow, providing a crucial link between blood flow dynamics and oxygen transport. To analyze the problem, the authors employ a perturbation procedure, a mathematical approach that simplifies complex systems by introducing small changes to the variables. This approach facilitates a deeper understanding of the interplay between flow mechanics and oxygen delivery in the retina. The study's findings hold potential for advancing knowledge in retinal physiology and could pave the way for improved diagnostic and therapeutic strategies for retinal vascular diseases. © 2025 IEEE.

关键词： Perturbation techniques

来源：评论

学校读者我要写书评

暂无评论

Oxygen Extraction and Blood Transport in the Human Retina: A Mathematical Modelling and Analysis

Oxygen Extraction and Blood Transport in the Human Retina: A...

引用

Intelligent Control, Computing and Communications (IC3), International Conference on

作者： Aadesh Kumar Neeta Awasthy Bholey Singh Rajesh Kumar Deolia Satendra Kumar RS Sengar Department of Applied Science and Humanities GL Bajaj Group of Institutions Mathura India Department of Computer Science and Engineering GL Bajaj Group of Institutions Mathura India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

关键词： Pathology Oxygen Perturbation methods Retina Mathematical models Blood Monitoring Blood flow Diseases Intelligent control

来源：评论

学校读者我要写书评

暂无评论

Breaking Through the Spike: Spike Window Decoding for Accelerated and Precise Automatic Speech Recognition

Breaking Through the Spike: Spike Window Decoding for Accele...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Wei Zhang Tian-Hao Zhang Chao Luo Hui Zhou Chao Yang Xinyuan Qian Xu-Cheng Yin *** GROUP Shanghai China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Recently, end-to-end automatic speech recognition has become the mainstream approach in both industry and academia. To optimize system performance in specific scenarios, the Weighted Finite-State Transducer (WFST) is extensively used to integrate acoustic and language models, leveraging its capacity to implicitly fuse language models within static graphs, thereby ensuring robust recognition while also facilitating rapid error correction. However, WFST necessitates a frame-by-frame search of CTC posterior probabilities through autoregression, which significantly hampers inference speed. In this work, we thoroughly investigate the spike property of CTC outputs and further propose the conjecture that adjacent frames to non-blank spikes carry semantic information beneficial to the model. Building on this, we propose the Spike Window Decoding algorithm, which greatly improves the inference speed by making the number of frames decoded in WFST linearly related to the number of spiking frames in the CTC output, while guaranteeing the recognition performance. Our method achieves SOTA recognition accuracy with significantly accelerates decoding speed, proven across both AISHELL-1 and large-scale In-House datasets, establishing a pioneering approach for integrating CTC output with WFST.

关键词： Accuracy Semantics Buildings Signal processing algorithms Inference algorithms Acoustics Decoding Windows Speech processing Automatic speech recognition

来源：评论

学校读者我要写书评

暂无评论

TSM-Based Multi-pilot Behavior Recognition Method for Ship Bridges

TSM-Based Multi-pilot Behavior Recognition Method for Ship B...

引用

International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Chen, Chen Wei, Yue-Nan Hu, Song-Tao Shu, Zhong-Cheng Zhao, Xin-Zheng School of Computer Science and Engineering Wuhan Institute of Technology Wuhan China Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan China Henan Transport Investment Group Co. Ltd. Zhengzhou China

ISBN: (纸本)9789819639601

Abnormal or non-standard operations by ship drivers are one of the major factors leading to water traffic accidents, making the development of a real-time and reliable method for detecting ship driver behavior crucial. This paper proposes a novel approach for multi-person behavior recognition based on the Temporal Shift Module (TSM) algorithm for single-target behavior detection. This algorithm integrates multi-target tracking with single-target behavior recognition methods, achieving simultaneous recognition and detection of multiple drivers within the ship’s bridge. Additionally, a dataset named "SC Action" was created for ship bridge behavior, containing data samples from various ship bridge surveillance videos, including over 1,000 video samples of routine and violation behaviors. Experimental results show that this method, while accurately tracking multiple drivers, achieved a behavior recognition accuracy of 81.72% and is capable of providing early warnings of dangerous behaviors by drivers. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Ships

来源：评论

学校读者我要写书评

暂无评论

Multi-Agent Path Finding Using Conflict-Based Search and Structural-Semantic Topometric Maps

arXiv

引用

arXiv 2025年

作者： Fredriksson, Scott Bai, Yifan Saradagi, Akshit Nikolakopoulos, George Robotics and AI group Department of Computer Science Electrical and Space Engineering Luleå University of Technology Sweden

As industries increasingly adopt large robotic fleets, there is a pressing need for computationally efficient, practical, and optimal conflict-free path planning for multiple robots. Conflict-Based Search (CBS) is a popular method for multi-agent path finding (MAPF) due to its completeness and optimality;however, it is often impractical for real-world applications, as it is computationally intensive to solve and relies on assumptions about agents and operating environments that are difficult to realize. This article proposes a solution to overcome computational challenges and practicality issues of CBS by utilizing structural-semantic topometric maps. Instead of running CBS over large grid-based maps, the proposed solution runs CBS over a sparse topometric map containing structural-semantic cells representing intersections, pathways, and dead ends. This approach significantly accelerates the MAPF process and reduces the number of conflict resolutions handled by CBS while operating in continuous time. In the proposed method, robots are assigned time ranges to move between topometric regions, departing from the traditional CBS assumption that a robot can move to any connected cell in a single time step. The approach is validated through real-world multi-robot path-finding experiments and benchmarking simulations. The results demonstrate that the proposed MAPF method can be applied to real-world non-holonomic robots and yields significant improvement in computational efficiency compared to traditional CBS methods while improving conflict detection and resolution in cases of corridor symmetries. Copyright © 2025, The Authors. All rights reserved.

关键词： Continuous time systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：