检索结果-内蒙古大学图书馆

An upgraded variant of backtracking search algorithm and its application to COVID-19 CT images segmentation

Multimedia Tools and Applications 2025年 1-57页

作者： Debnath, Sanjib Nama, Sukanta Chakraborty, Sanjoy Saha, Apu Kumar Mirjalili, Seyedali Department of Computer Science & Engineering National Institute of Technology Agartala Tripura Agartala799046 India Department of Science & Humanities Gomati District Polytechnic Fulkumari Tripura Udaipur799013 India Department of Information Technology Bir Bikram Memorial College Tripura Agartala India Department of Mathematics National Institute of Technology Agartala Tripura Agartala799046 India Center for Artificial Intelligence Research and Optimization Torrens University Australia Brisbane Australia Faculty of Electrical Engineering and Computer Science VŠB-TU Ostrava Ostrava Czech Republic University Research and Innovation Center Obuda University Budapest Hungary Department of Computer Science & Engineering The ICFAI University Tripura Tripura 799210 India

To improve the performance of the original backtracking search algorithm (BSA), this work combines BSA with a centralized population initialization and an elitism-based local escape operator and proposes a new, improved variant of BSA called CiBSA. BSA's performance is improved by centralized population initialization regarding search capability, convergence speed, and capacity to jump out of the local optimum. The suggested algorithm's elitism-based local escape operator method prevents BSA searching slowness and enhances convergence rates and local search efficiency. The performance of the proposed algorithm has been tested on a set of 54 test suites. An extensive comparison with other recent meta-heuristics algorithms (MA) demonstrates that both methodologies substantially assist BSA in boosting the quality of its solutions and speeding up the convergence rate. The proposed CiBSA is then applied to a real-world problem: image segmentation using Kapur's entropy function. The proposed CiBSA is successfully applied to the segmentation of COVID-19 CT images using Kapur's entropy for grey-scale images. Considering the performance matrices Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Feature Similarity Index (FSIM), and Intersection over Union (IoU), the suggested CiBSA outperformed conventional MA algorithms. In COVID-19 CT image segmentation trials, CiBSA has superior segmentation capability and adaptability at varied threshold levels than other approaches. As a result, CiBSA has a lot of potential for enhancing COVID-19 diagnosis accuracy. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Wire Arc Additive Manufacturing With Infrared Image Feedback

引用

ASME Letters in Translational Robotics 2025年第1期1卷 011004页

作者： He, Honglu Wen, John T. Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute 110 8th Street Troy NY 12180

Wire arc additive manufacturing (WAAM) is a metal 3D printing technology that rapidly prototypes by depositing molten metal wire onto a substrate. Traditionally, WAAM has relied on the open-loop control with carefully tuned parameters, a process that can be time-consuming and often results in inconsistent performance. Although laser line scanners and other 3D scanning techniques have been used to ensure geometric fidelity, they typically provide feedback through layer-by-layer scans, leaving imperfections from arc striking and extinguishing. This paper introduces a novel approach that incorporates infrared (IR) camera thermography to achieve more consistent and reliable WAAM printing with real-time feedback. By using IR live streaming to close the loop with in-layer updates, we demonstrate how this feedback mechanism can enhance control over bead width consistency and wire stick-out length, ultimately leading to higher-quality metal 3D-printed structures. Compared with open-loop preset constant welding parameters on a triangular wall geometry, our IR-guided WAAM process achieves 49% bead width variance reduction and 95% wire stick-out length tracking improvement.

关键词： industrial robot application-driven robot architectures and motion planning 3D printing multi-robot coordination case studies in manufacturing IR WAAM process control

来源：评论

学校读者我要写书评

暂无评论

Near-Field Communications: Shape and Structure Design for Uniform Planar Array

引用

IEEE Internet of Things Journal 2025年第11期12卷 15151-15165页

作者： Chen, Siyu Gu, Juping Duan, Wei Zhang, Lei Dang, Shuping Wen, Miaowen Ding, Zhiguo Ho, Pin-Han Nantong University School of Information Science and Technology Nantong226019 China Suzhou University of Science and Technology China Hubei Polytechnic University Department of Electronics and Information Engineering Huangshi435003 China University of Bristol School of Electrical Electronic and Mechanical Engineering BristolBS8 1UB United Kingdom South China University of Technology School of Electronic and Information Engineering Guangzhou510640 China Khalifa University Department of Electrical Engineering and Computer Science Abu Dhabi United Arab Emirates University of Electronic Science and Technology of China Shenzhen Institute for Advanced Study Shenzhen518000 China University of Waterloo Department of Electrical and Computer Engineering WaterlooONN2L 3G1 Canada

With the flourishing development of 6G wireless networks, the demand of spectrum efficiency rapidly increases, in order to support the demands of high quality data transmission and connections of massive users. Among various promising technologies, the technology of near-field communications provides a great potential to address such an issue due to the unique spherical-wave channels for electromagnetic (EM) propagation. In this paper, multiple-input single-output (MISO) near-field communications is comprehensively studied to clarify the influences of the shape and structure of uniform planar array (UPA) on the system performance, considering three cases with uniform linear array (ULA), rectangular UPA, and circular UPA. In particular, we reveal the properties of rapid deterioration for signal-to-noise ratio (SNR) from the reduced projection aperture in near-field communications and investigate the single spherical crown antenna design and spherical crown antenna array design in order to address this issue. Moreover, we also characterize the role of antenna projection aperture in details, and theoretically analyze the shape of UPA, yielding the corresponding exact closed-form expressions for SNR and outage probability (OP). Based on these above analytical results, we find out that adjusting the spacing between adjacent antennas to control the relative angle between user and selected antennas is an efficient way to improve the projection aperture of antenna and SNR. Simulation results are shown to well match analytical results, which validate the correctness of our analysis, clarifying that our proposed designs outperform the conventional works and illustrating a better stability for angle variations. © 2025 IEEE.

关键词： Spheres

来源：评论

学校读者我要写书评

暂无评论

IKT-BT: Indirect Knowledge Transfer Behavior Tree Framework for Multirobot Systems Through Communication Eavesdropping

引用

IEEE Transactions on Cybernetics 2025年第6期55卷 2558-2570页

作者： Venkata, Sanjay Sarma Oruganti Parasuraman, Ramviyas Pidaparti, Ramana Rensselaer Polytechnic Institute Cognitive Science Department TroyNY12180 United States University of Georgia School of Electrical and Computer Engineering AthensGA30602 United States University of Georgia School of Computing AthensGA30602 United States University of Georgia School of Environmental Civil Agricultural and Mechanical Engineering AthensGA30602 United States

Multiagent and multirobot systems (MRS) often rely on direct communication for information sharing. This work explores an alternative approach inspired by eavesdropping mechanisms in nature that involves casual observation of agent interactions to enhance decentralized knowledge dissemination. We achieve this through a novel indirect knowledge transfer through behavior trees (IKT-BT) framework tailored for a behavior-based MRS, encapsulating knowledge and control actions in behavior trees (BT). We present two new BT-based modalities—eavesdrop-update (EU) and eavesdrop-buffer-update (EBU)—incorporating unique eavesdropping strategies and efficient episodic memory management suited for resource-limited swarm robots. We theoretically analyze the IKT-BT framework for an MRS and validate the performance of the proposed modalities through extensive experiments simulating a search and rescue mission. Our results reveal improvements in both global mission performance outcomes and agent-level knowledge dissemination with a reduced need for direct communication. © 2013 IEEE.

关键词： Knowledge transfer

来源：评论

学校读者我要写书评

暂无评论

Cross-Modality Registration using Bone Surface Pointcloud for Robotic Ultrasound-Guided Spine Surgery

引用

Journal of Medical Robotics Research 2025年

作者： Ma, Xihan Zhang, Xiao Wang, Yang Nycz, Christopher J. Sungarian, Arno Ji, Songbai Huang, Xinming Zhang, Haichong K. Department of Robotics Engineering Worcester Polytechnic Institute 100 Institute Rd. Worcester 01609 MA United States Department of Electrical and Computer Engineering Worcester Polytechnic Institute 100 Institute Rd. Worcester 01609 MA United States Memorial Medical Center University of Massachusetts 55 N Lake Ave. Worcester 01655 MA United States Department of Biomedical Engineering Worcester Polytechnic Institute 100 Institute Rd. Worcester 01609 MA United States

Image guidance using preoperative magnetic resonance imaging (MRI) and intraoperative ultrasound (US) can improve the outcome of spine surgery. Employing a robotic US system (RUSS) allows the automated acquisition of large 3D US volumes, facilitating accurate registration. However, such registration remains challenging due to the cross-modality discrepancy. To address this issue, we present a pipeline that extracts spine pointclouds from MRI and 3D US to perform per-vertebra registration. Experiments showed a registration accuracy of 1.82 mm in terms of residual root mean square error and 7.02 mm in terms of Chamfer distance. The pipeline exhibits superior robustness to suboptimal initial conditions compared with the two baseline methods. It also demonstrated good time efficiency under real-time conditions, demonstrating the potential applicability in RUSS-guided spine surgeries. © World Scientific Publishing Company.

关键词： cross-modality registration image-guided intervention robotic ultrasound Spine surgery ultrasound

来源：评论

学校读者我要写书评

暂无评论

Information-Exchange-Reduced Distributed FixedTime Secondary Control for DC Microgrid with Enhanced Stability

引用

IEEE Transactions on Industry Applications 2025年

作者： Chai, Junwei Xu, Zhao Wang, Minghao Lyu, Xue The Hong Kong Polytechnic University Department of Electrical and Electronics Engineering Hong Kong The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Shenzhen Research Institute Research Institute of Smart Energy Hong Kong Department of Electrical and Computer Engineering Zhuhai China University of Macau Advanced Research Institute Hengqin Zhuhai China

DC microgrids are a feasible grid system to host multiple distributed generators (DGs). In terms of the control and coordination of hosted DGs, the enhanced stability and fast dynamics of DC microgrids are required. To achieve these objectives, this paper proposes a comprehensive strategy that meticulously accounts for the impacts of transmission line impedances and constant power loads (CPLs). The strategy is architected with a dual-layer control approach: a stability enhancement controller is embedded within the primary control layer, while a novel distributed fixed-time controller is deployed in the secondary control layer, ensuring a robust and fast system performance. Specifically, for the primary control layer, the maximum tolerable CPL is firstly calculated using the reduced-order model and the impedance ratio criterion, contributing to more accurate and less conservative results. Additionally, a stability enhancement controller is designed to reshape the system's equivalent output impedance, improving both steady-state and transient stability of the DC microgrid and enabling the accommodation of larger CPLs. For the secondary control layer, a novel fixed-time secondary control scheme is put forward to achieve a concurrent DC bus voltage regulation and current sharing among DGs within a fixed time. Importantly, this method requires the transmission of only one variable to neighboring DGs, significantly decreasing communication traffic compared to the existing latest methods. The stability of the proposed scheme is theoretically proved through Lyapunov-based analysis. Case study results are presented to demonstrate the efficacy of the proposed strategy. © 1972-2012 IEEE.

关键词： Publishing

来源：评论

学校读者我要写书评

暂无评论

High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer

High-Fidelity Document Stain Removal via A Large-Scale Real-...

引用

2025 IEEE/CVF Winter Conference on Applications of computer Vision, WACV 2025

作者： Li, Mingxian Sun, Hao Lei, Yingtie Zhang, Xiaofeng Dong, Yihang Zhou, Yilin Li, Zimeng Chen, Xuhang School of Computer Science and Engineering Huizhou University China The Ohio State University Department of Computer Science and Engineering United States School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences China School of Electronic and Communication Engineering Shenzhen Polytechnic University China

ISBN: (纸本)9798331510831

Document images are often degraded by various stains, significantly impacting their readability and hindering downstream applications such as document digitization and analysis. The absence of a comprehensive stained document dataset has limited the effectiveness of existing document enhancement methods in removing stains while preserving fine-grained details. To address this challenge, we construct StainDoc, the first large-scale, high-resolution (2145 x 2245) dataset specifically designed for document stain removal. StainDoc comprises over 5,000 pairs of stained and clean document images across multiple scenes. This dataset encompasses a diverse range of stain types, severities, and document backgrounds, facilitating robust training and evaluation of document stain removal algorithms. Furthermore, we propose StainRestorer, a Transformer-based document stain removal approach. StainRestorer employs a memory-augmented Transformer architecture that captures hierarchical stain representations at part, instance, and semantic levels via the DocMemory module. The Stain Removal Transformer (SRTransformer) leverages these feature representations through a dual attention mechanism: an enhanced spatial attention with an expanded receptive field, and a channel attention captures channel-wise feature importance. This combination enables precise stain removal while preserving document content integrity. Extensive experiments demonstrate StainRestorer's superior performance over state-of-the-art methods on the Stain-Doc dataset and its variants *** and ***, establishing a new benchmark for document stain removal. Our work highlights the potential of memory-augmented Transformers for this task and contributes a valuable dataset to advance future research. © 2025 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Comparative Performance of Object Detection Algorithms Under Low Illumination Conditions

Comparative Performance of Object Detection Algorithms Under...

引用

IEEE Southeastcon

作者： Md Junayed Hossain Shoptorshi Rahman Md Fahad Monir Tarem Ahmed Department of Computer Science & Engineering Independent University Bangladesh (IUB) Bangladesh Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University USA

ISBN: (数字)9798331504847

ISBN: (纸本)9798331504854

Real-time object detection is pivotal in various computer vision and robotics applications, such as security surveillance, autonomous navigation, and interactive systems. This study evaluates several object detection algorithms under low illumination conditions, comparing traditional methods including SIFT, SURF, ORB, BRISK, KAZE, and AKAZE with the deep learning model YOLOv5. To simulate these conditions, we utilized the COCO dataset and implemented a sequence of preprocessing procedures, such as adjusting the gamma correction throughout the dataset, introducing Gaussian noise, and equalizing the histogram to improve image contrast. Here, YOLOv5 exhibited superior performance, achieving a detection accuracy of 92.47% and a processing time of 45 milliseconds per image. Traditional algorithms like SURF and KAZE, although slower, demonstrated precision rates of 78.54% and 76.86%, respectively. YOLOv5 also identified the highest number of key points and matches. Our findings indicate that while YOLOv5 excels in real-time detection under low-light conditions, traditional methods are effective for specific tasks in resource-constrained environments. This study benchmarks these algorithms and proposes a hybrid approach to enhance real-time object detection systems under low illumination conditions.

关键词： YOLO Deep learning Histograms computer vision Surveillance Interactive systems Gaussian noise Lighting Real-time systems Security

来源：评论

学校读者我要写书评

暂无评论

Optimized ROI Extraction and Pixel Reduction Methods for Kidney Abnormality Detection

Optimized ROI Extraction and Pixel Reduction Methods for Kid...

引用

IEEE Southeastcon

作者： Md Junayed Hossain Md Fahad Monir Tarem Ahmed Department of Computer Science & Engineering Independent University Bangladesh (IUB) Bangladesh Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University USA

ISBN: (数字)9798331504847

ISBN: (纸本)9798331504854

A global public health concern, Chronic Kidney Disease causes renal failure, cardiovascular disease, and premature death. Given the frequency of kidney diseases and their significant impact on public health, detection of any abnormalities in the kidney is crucial. Effective patient treatment and medical care planning depend on the early and precise diagnosis of a variety of kidney abnormalities. Early detection enable treatments that enhance patient outcomes, slow the progression of disease, and lessen the strain on healthcare systems. In order to detect anomalies in kidney, we utilized the Region of Interest (ROI) and Pixel Reduction techniques separately in this work. We have applied the Bicubic Interpolation method to reduce the size of individual pixels in an image while preserving a significant data of the original image data. A novel hybrid strategy that aims to preserve diagnostic data while reducing computing complexity uses the original images for ROI extraction. The deep learning method is then independently trained and tested using the pixel-reduced and localized dataset. In order to categorize the images, we use Inception V3 and EfficientNet B7 as Deep Learning models. Using the ROI-extracted data, we were able to achieve approximately 99.75% accuracy with the EfficientNet B7 model. Moreover, the same algorithm and dataset were used to obtain 98.45%, 99.02%, and 98.78% Precision, Recall, and F1-score, respectively. This framework provides medical professionals with a helpful prognostic tool to early detect identify various forms of kidney abnormalities.

关键词： Deep learning Interpolation Medical treatment Data models Planning Data mining Public healthcare Kidney Medical diagnostic imaging Strain

来源：评论

学校读者我要写书评

暂无评论

Receiver Side Regulation of LCC Wireless Power Transfer System with Variable Notch Filter

Receiver Side Regulation of LCC Wireless Power Transfer Syst...

引用

Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Hsin-Che Hsieh Jih-Sheng Lai The Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA

ISBN: (数字)9798331516116

ISBN: (纸本)9798331516123

The robustness and relative insensitivity to misalignments and mismatches make the LCC topology popular in wireless power transfer (WPT) applications, including more challenging dynamic or multi-receiver WPT systems. The output of LCC topology based WPT systems is typically regulated by an additional dc-dc converter stage, either before or after the WPT stage. The additional dc-dc stage increases the cost and complexity of the system and would require wireless communication for output regulation if placed on the transmitter side, making the system susceptible to electromagnetic interference. In this paper, a receiver side modulation scheme based on a variable inductor controlled notch filter is proposed. By modulating the variable inductor, the output can be independently adjustable in a wide-range. The variable inductor is controlled with simple pulse width modulation (PWM). The proposed control scheme is especially suitable for multi-receiver WPT systems; where transmitter based regulation schemes cannot simultaneously accommodate multiple receivers. The proposed system is verified experimentally with a 48-V o(max) , 72-W prototype WPT system with multi-receiver capability.

关键词： Wireless communication Prototypes Receivers Wireless power transfer Pulse width modulation Regulation Topology Inductors Voltage control Notch filters

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：