检索结果-内蒙古大学图书馆

Target Detection-Oriented RGCN Inference Enhancement Method

computers, Materials & Continua 2025年第4期83卷 1219-1237页

作者： Lijuan Zhang Xiaoyu Wang Songtao Zhang Yutong Jiang Dongming Li Weichen Sun School of Internet of Things Engineering Wuxi UniversityWuxi214105China College of Computer Science and Engineering Changchun University of TechnologyChangchun130012China Computer Science and Technology at Guohao Academy Tongji UniversityShanghai200092China China North Vehicle Research Institute Beijing100072China

In this paper,a reasoning enhancement method based on RGCN(Relational Graph Convolutional Network)is proposed to improve the detection capability of UAV(Unmanned Aerial Vehicle)on fast-moving military targets in urban battlefield *** combining military images with the publicly available VisDrone2019 dataset,a new dataset called VisMilitary was built and multiple YOLO(You Only Look Once)models were tested on *** to the low confidence problem caused by fuzzy targets,the performance of traditional YOLO models on real battlefield images decreases ***,we propose an improved RGCN inference model,which improves the performance of the model in complex environments by optimizing the data processing and graph network *** results show that the proposed method achieves an improvement of 0.4%to 1.7%on mAP@0.50,which proves the effectiveness of the model in military target *** research of this paper provides a new technical path for UAV target detection in urban battlefield,and provides important enlightenment for the application of deep learning in military field.

关键词： RGCN target detection urban battlefield YOLO visual reasoning

来源：评论

学校读者我要写书评

暂无评论

Shell stand:Stable thin shell models for 3D fabrication

引用

Computational Visual Media 2024年第4期10卷 643-657页

作者： Yu Xing Xiaoxuan Wang Lin Lu Andrei Sharf Daniel Cohen-Or Changhe Tu School of Computer Science and Technology Shandong UniversityQingdao 266237China Department of Computer Science Ben-Gurion UniversityBeer-Sheva 84105Israel Department of Computer Science Tel-Aviv UniversityTel Aviv 6997801Israel

A thin shell model refers to a surface or structure,where the object’s thickness is considered *** the context of 3D printing,thin shell models are characterized by having lightweight,hollow structures,and reduced material *** versatility and visual appeal make them popular in various fields,such as cloth simulation,character skinning,and for thin-walled structures like leaves,paper,or metal ***,optimization of thin shell models without external support remains a challenge due to their minimal interior operational *** the same reasons,hollowing methods are also unsuitable for this *** fact,thin shell modulation methods are required to preserve the visual appearance of a two-sided surface which further constrain the problem *** this paper,we introduce a new visual disparity metric tailored for shell models,integrating local details and global shape attributes in terms of visual *** method modulates thin shell models using global deformations and local thickening while accounting for visual saliency,stability,and structural ***,thin shell models such as bas-reliefs,hollow shapes,and cloth can be stabilized to stand in arbitrary orientations,making them ideal for 3D printing.

关键词： surface models thin shell models optimization balance stability 3D fabrication

来源：评论

学校读者我要写书评

暂无评论

Brain Tumor Medical Image Diagnostic Network Deployed on Low-Cost Embedded Devices 4

Brain Tumor Medical Image Diagnostic Network Deployed on Low...

引用

4th International Conference on Neural Networks, Information and Communication Engineering, NNICE 2024

作者： Awudong, Buhailiqiemu Li, Qi Changchun University of Science and Technology School of Computer Science and Technology Jilin Changchun China Zhongshan Institute of Changchun University of Science and Technology Guangdong Zhongshan China

ISBN: (纸本)9798350394375

Early diagnosis of brain tumors is of great significance to patients, families, and society. Therefore, it is necessary to develop more accurate, fast, and reliable diagnostic methods for brain tumors. Deep learning based brain tumor diagnosis technology has great application prospects and is expected to play an important role in early diagnosis and treatment of brain tumors. This article proposes a lightweight deep learning model guided by attention mechanism. Training and testing were conducted on two publicly available brain tumor datasets, and compared with state-of-the-art methods. The experimental results show that the classification accuracy of this method is 99.8 %, which is higher than state-of-the-art methods. This has created a new state-of-the-art diagnostic method for brain tumors. The method proposed in this article is fast, robust, with low network computing complexity and low memory requirements. It can be deployed on low-cost embedded devices and has great application prospects in the medical field. © 2024 IEEE.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Constructing a novel bi-lamellar microstructure in selective laser melted Ti-6Al-4V alloy via electropulsing for improvement of strength and corrosion resistance

引用

Journal of Materials science & technology 2024年第26期193卷 37-50页

作者： Xudong Yan Xiaofeng Xu Yachong Zhou Zhicheng Wu Lai Wei Dayong Zhang School of Ocean Science and Technology Dalian University of TechnologyPanjin 124221China Key Laboratory of Automobile Materials Ministry of Educationand Department of Materials Science and EngineeringJilin UniversityChangchun 130025China

Traditional heat treatments may cause deterioration in the yield strength and corrosion resistance of the selective laser-melted(SLM)Ti-6Al-4V alloy due to the coarsening ofαlath and alloy element partitioning(AEP).However,electropulsing has been found to inhibit the growth of primaryαand the process of *** also introduces finerαlath in the transformedβregion and generates a novel bi-lamellar *** microstructure has minimal element concentration difference between the primaryαand transformedβ.As a result,the transformedβregion exhibits a higher content of Al element and finerαlath,leading to a higher overall yield strength(952 MPa)compared to the heat-treated sample(855 MPa).The novel microstructure induced by electropulsing enhances the polarization resistance,improves the stability and thickness of the passive film,and ultimately enhances the corrosion ***,this technology can be extended to other SLMα+βtitanium alloys to simultaneously improve their mechanical properties and corrosion resistance.

关键词： SLM Ti-6Al-4V alloy Alloy element partitioning Mechanical properties Corrosion resistance

来源：评论

学校读者我要写书评

暂无评论

Predicting Age and Gender in Author Profiling: A Multi-Feature Exploration

引用

computers, Materials & Continua 2024年第5期79卷 3333-3353页

作者： Aiman Muhammad Arshad Bilal Khan Sadique Ahmad Muhammad Asim Department of Computer Science City University of Science and Information TechnologyPeshawar25000Pakistan EIAS:Data Science and Blockchain Laboratory College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia School of Computer Science and Technology Guangdong University of TechnologyGuangzhou510006China

Author Profiling (AP) is a subsection of digital forensics that focuses on the detection of the author’s personalinformation, such as age, gender, occupation, and education, based on various linguistic features, e.g., stylistic,semantic, and syntactic. The importance of AP lies in various fields, including forensics, security, medicine, andmarketing. In previous studies, many works have been done using different languages, e.g., English, Arabic, French,***, the research on RomanUrdu is not up to the ***, this study focuses on detecting the author’sage and gender based on Roman Urdu text messages. The dataset used in this study is Fire’18-MaponSMS. Thisstudy proposed an ensemble model based on AdaBoostM1 and Random Forest (AMBRF) for AP using multiplelinguistic features that are stylistic, character-based, word-based, and sentence-based. The proposed model iscontrasted with several of the well-known models fromthe literature, including J48-Decision Tree (J48),Na飗e Bays(NB), K Nearest Neighbor (KNN), and Composite Hypercube on Random Projection (CHIRP), NB-Updatable,RF, and AdaboostM1. The overall outcome shows the better performance of the proposed AdaboostM1 withRandom Forest (ABMRF) with an accuracy of 54.2857% for age prediction and 71.1429% for gender predictioncalculated on stylistic features. Regarding word-based features, age and gender were considered in 50.5714% and60%, respectively. On the other hand, KNN and CHIRP show the weakest performance using all the linguisticfeatures for age and gender prediction.

关键词： Digital forensics author profiling for security AdaBoostM1 random forest ensemble learning

来源：评论

学校读者我要写书评

暂无评论

An image segmentation fusion algorithm based on density peak clustering and Markov random field

引用

Multimedia Tools and Applications 2024年第37期83卷 85331-85355页

作者： Feng, Yuncong Liu, Wanru Zhang, Xiaoli Zhu, Xiaoyan College of Computer Science and Engineering Changchun University of Technology Jilin Changchun130012 China Artificial Intelligence Research Institute Changchun University of Technology Jilin Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Jilin Changchun130012 China College of Computer Science and Technology Jilin University Jilin Changchun130012 China

Image segmentation is a crucial task in the field of computer vision. Markov random fields (MRF) based image segmentation method can effectively capture intricate relationships among pixels. However, MRF typically requires an initial labeling field, and the number of classifications needs to be manually selected. To tackle these issues, we propose a novel medical image segmentation algorithm based on density peak clustering (DPC) and Markov random fields. Firstly, we improve DPC to make it applicable to grayscale images, named GIDPC. In the GIDPC method, local gray density and gray bias are defined to enable the automatic determination of the number of classifications. Then, GIDPC and MRF are combined to achieve image segmentation. Furthermore, a segmentation fusion method is employed to enhance the accuracy of image segmentation. We conduct comparison experiments on the whole brain atlas image library. Our proposed algorithm achieves high average values in uniformity measure, accuracy, precision and sensitivity, respectively. Experimental results demonstrate that the proposed algorithm outperforms other image segmentation methods. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

14-Bit SAR ADC with on-Chip Digital Bubble Sorting Calibration technology

引用

Chinese Journal of Electronics 2025年第1期34卷 125-136页

作者： Hua Fan Zhuorui Chen Tongrui Xu Franco Maloberti Qi Wei Quanyuan Feng School of Integrated Circuit Science and Engineering(Exemplary School of Microelectronics) University of Electronic Science and Technology of China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Chongqing Institute of Microelectronics Industry Technology University of Electronic Science and Technology of China Department of Electrical Computer and Biomedical Engineering University of Pavia Department of Precision Instrument Tsinghua University Institute of Microelectronics Southwest Jiaotong University

This article designs a 14-bit successive approximation register analog-to-digital converter（SAR ADC）.A novel digital bubble sorting calibration method is proposed and applied to eliminate the effect of capacitor mismatch on the linearity of the SAR ADC. To reduce the number of capacitors, a hybrid architecture of a high 8-bit binary-weighted capacitor array and a low 6-bit resistor array is adopted by the digital-to-analog（DAC）. The common-mode voltage VCM-based switching scheme is chosen to reduce the switching energy and area of the DAC. The time-domain comparator is employed to obtain lower power consumption. Sampling is performed through a gate voltage bootstrapped switch to reduce the nonlinear errors introduced when sampling the input signal. Moreover, the SAR logic and the whole calibration is totally implemented on-chip through digital integrated circuit（IC） tools such as design compiler, IC compiler, etc. Finally, a prototype is designed and implemented using 0.18 μm bipolar-complementary metal oxide semiconductor（CMOS）-double-diffused MOS 1.8 V CMOS technology. The measurement results show that the SAR ADC with on-chip bubble sorting calibration method achieves the signal-to-noise-and-distortion ratio of 69.75 dB and the spurious-free dynamic range of 83.77 dB.

关键词： Semiconductor device measurement Capacitors Linearity Switches Calibration System-on-chip Frequency measurement Time-domain analysis Sorting Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Improved Algorithm Based Optimal Stitching Line in Video Stitching Quality 4

Improved Algorithm Based Optimal Stitching Line in Video Sti...

引用

4th International Conference on Electronic Information Engineering and computer science, EIECS 2024

作者： Bai, Xuemei Wang, Yunpeng Zhang, Chenjie Hu, Hanping School of Electronic Information Engineering Changchun University of Science and Technology Changchun130012 China School of Computer Science and Technology Changchun University of Science and Technology Changchun130012 China

ISBN: (纸本)9798331531409

For the optimisation of video splicing quality in video splicing, an improved optimal stitching video splicing method is proposed. The method first extracts corner points and feature points using the improved FAST algorithm, and accurately matches these feature points by combining violent matching with GMS feature point matching;adopts a graph cutbased algorithm to transform the stitch line search problem into an energy minimisation problem to ensure the reasonableness and optimality of the stitch line position;and constructs the solution step by step in overlapping regions by means of a dynamic planning algorithm, retaining the optimal solution at each step, and finally find the globally optimal suture position. To further enhance the suture quality, the method smoothes the sutures by morphological operations (e.g., swelling and erosion) and implements fine pixel-level adjustments to eliminate artefacts and chromatic aberrations. After determining the optimal overlap region and suture line location, an advanced image fusion algorithm is used to ensure that the transition of video frames in the overlap region is natural and seamless, avoiding splice marks. The experimental results show that the method can effectively improve the quality of video stitching. © 2024 IEEE.

关键词： Image fusion

来源：评论

学校读者我要写书评

暂无评论

An Innovative Approach Using TKN-Cryptology for Identifying the Replay Assault

引用

computers, Materials & Continua 2024年第1期78卷 589-616页

作者： Syeda Wajiha Zahra Muhammad Nadeem Ali Arshad Saman Riaz Muhammad Abu Bakr Ashit Kumar Dutta Zaid Alzaid Badr Almutairi Sultan Almotairi Department of Computer Science Alhamd Islamic UniversityIslamabad44000Pakistan Department of Computer Science and Technology University of Science and Technology BeijingBeijing100083China Department of Computer Science National University of TechnologyIslamabad44000Pakistan Department of Electrical Engineering National University of TechnologyIslamabad44000Pakistan Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityRiyadh13713Saudi Arabia Department of Computer Science Faculty of Computer and Information SystemsIslamic University of MadinahMedinah42351Saudi Arabia Department of Information Technology College of Computer Sciences and Information Technology CollegeMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Natural and Applied Sciences Faculty of Community CollegeMajmaah UniversityMajmaah11952Saudi Arabia

Various organizations store data online rather than on physical *** the number of user’s data stored in cloud servers increases,the attack rate to access data from cloud servers also *** researchers worked on different algorithms to protect cloud data from replay *** of the papers used a technique that simultaneously detects a full-message and partial-message replay *** study presents the development of a TKN(Text,Key and Name)cryptographic algorithm aimed at protecting data from replay *** program employs distinct ways to encrypt plain text[P],a user-defined Key[K],and a Secret Code[N].The novelty of the TKN cryptographic algorithm is that the bit value of each text is linked to another value with the help of the proposed algorithm,and the length of the cipher text obtained is twice the length of the original *** the scenario that an attacker executes a replay attack on the cloud server,engages in cryptanalysis,or manipulates any data,it will result in automated modification of all associated values inside the *** mechanism has the benefit of enhancing the detectability of replay ***,the attacker cannot access data not included in any of the papers,regardless of how effective the attack strategy *** the end of paper,the proposed algorithm’s novelty will be compared with different algorithms,and it will be discussed how far the proposed algorithm is better than all other algorithms.

关键词： Replay attack malware message attack file encryption cryptology data security

来源：评论

学校读者我要写书评

暂无评论

Feature Perturbations Extend the Space for Automatic Grading of Diabetic Retinopathy

Feature Perturbations Extend the Space for Automatic Grading...

引用

2023 International Conference on Artificial Intelligence, Systems and Network Security, AISNS 2023

作者： Gao, Shuang Gao, Jiawei Zhao, Jiashi Department of Computer Science and Technology Changchun University of Science and Technology China

ISBN: (纸本)9798400716966

Contrast Learning (CL) is one of the most successful paradigms in Self-Supervised Learning (SSL) and has gained a lot of attention in the field of Deep Learning because of its strong visual representations, which do not require extensive labeling of the dataset, thus avoiding expensive costs. Currently, CL only explores the image space, neglecting the transformation of the feature representation. In this work, we propose a perturbed CL method that performs feature perturbation on the features extracted from the underlying network during training, extending the perturbation space of CL to better adapt the model to different data variations and to improve the generalization ability and robustness. We demonstrate that the proposed method can effectively improve the accuracy of diabetic retinopathy grading when evaluating the transmission capacity on the publicly available dataset EyePACS. © 2023 ACM.

关键词： Eye protection

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：