检索结果-内蒙古大学图书馆

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： He, Wenguang School of Information and Electrical Engineering Hunan University of Science and Technology Xiangtan China

ISBN: (纸本)9798400710681

Traditional aerodynamic performance studies often use parametric design methods, overlooking the smoothness coefficient’s impact on airfoil shape. Deep learning-based parametric design methods can optimize airfoil local shape, enhancing aerodynamic performance. However, it may cause model instability during the model training. Therefore, we proposed a cubic B-spline combined with a conditional generative adversarial network (CGAN) method, which can not only increase model stability but also optimize airfoil smoothness and aerodynamic performance. From the perspective of model stability, we found that airfoil samples generated by the CGAN network with a dynamic learning rate (DLR) are much more diverse than those with a fixed learning rate (FLR). We further investigated the influence of different smoothness coefficients on the aerodynamic performance of airfoil shape. The cubic B-spline with smoothness coefficients improves the Xfoil convergence for airfoil samples with Cl/Cd greater than 30. When the smoothness coefficient is 0.0025, Xfoil convergence with the cubic B-spline method reaches 72%, while that with the B-spline method is 70.75%. Moreover, the Max Cl/Cd value is enhanced with the cubic B-spline method. Particularly, compared to the highest Max Cl/Cd with the B-spline method, that with the cubic B-spline method achieves 88.06, increased by 10.72%. © 2024 Copyright held by the owner/author(s).

关键词： Aerodynamic stability

来源：评论

学校读者我要写书评

暂无评论

Enhanced Triple Layered Approach for Mitigating Security Risks in Cloud

引用

computers, Materials & Continua 2025年第4期83卷 719-738页

作者： Tajinder Kumar Purushottam Sharma Xiaochun Cheng Sachin Lalar Shubham Kumar Sandhya Bansal Computer Science&Engineering Department Jai Parkash Mukand Lal Innovative Engineering&Technology InstituteRadaur135133HaryanaIndia School of Computer Science&Engineering Galgotias UniversityGreater Noida203201Uttar PradeshIndia Computer Science Department Bay Campus Fabian WaySwansea UniversitySwanseaSA18ENUK Department of Engineering and Technology Gurugram UniversityGurugram122003India Presidency School of Computer Science Presidency UniversityBangalore560089India Maharishi Markendeshwar Engineering College Maharishi Markandeshwar(Deemed to be)UniversityMullanaAmbala133203India

With cloud computing,large chunks of data can be handled at a small ***,there are some reservations regarding the security and privacy of cloud data *** solving these issues and enhancing cloud computing security,this research provides a Three-Layered Security Access model(TLSA)aligned to an intrusion detection mechanism,access control mechanism,and data encryption *** TLSA underlines the need for the protection of sensitive *** proposed approach starts with Layer 1 data encryption using the Advanced Encryption Standard(AES).For data transfer and storage,this encryption guarantees the data’s authenticity and ***,the solution employs the AES encryption algorithm to secure essential data before storing them in the Cloud to minimize unauthorized ***-based access control(RBAC)implements the second strategic level,which ensures specific personnel access certain data and *** RBAC,each user is allowed a specific role and *** implies that permitted users can access some data stored in the *** layer assists in filtering granular access to data,reducing the risk that undesired data will be discovered during the *** 3 deals with intrusion detection systems(IDS),which detect and quickly deal with malicious actions and intrusion *** proposed TLSA security model of e-commerce includes conventional levels of security,such as encryption and access control,and encloses an insight intrusion detection *** method offers integrated solutions for most typical security issues of cloud computing,including data secrecy,method of access,and *** extensive performance test was carried out to confirm the efficiency of the proposed three-tier security *** have been made with state-of-art techniques,including DES,RSA,and DUAL-RSA,keeping into account Accuracy,QILV,F-Measure,Sensitivity,MSE,PSNR,SSIM,and computation time,encryption time,and decryption *** proposed

关键词： Cloud security:data encryption AES access control intrusion detection systems(IDS) role-based access control(RBAC)

来源：评论

学校读者我要写书评

暂无评论

Formalization of the Telegrapher’s Equations using Higher-Order-Logic Theorem Proving

Journal of Applied Logics

引用

Journal of Applied Logics 2024年第2期11卷 197-236页

作者： Deniz, Elif Rashid, Adnan Hasan, Osman Tahar, Sofiène Department of Electrical and Computer Engineering Concordia University MontrealQC Canada School of Electrical Engineering and Computer Science National University of Sciences and Technology Islamabad Pakistan

The telegrapher’s equations constitute a set of linear partial differential equations that establish a mathematical correspondence between the electrical current and voltage within transmission lines, taking into account factors, such as distance and time. These equations find wide applications in the design and analysis of various systems, including integrated circuits and antennas. This paper proposes the utilization of higher-order-logic theorem proving for a formal analysis of the telegrapher’s equations, also referred to as the transmission line equations. Specifically, we present a formal model of the telegrapher’s equations in both time and phasor domains. Subsequently, we employ the HOL Light theorem prover to formally verify the solutions of the telegrapher’s equations in the phasor domain. Furthermore, we established a connection between phasor and time-domain functions to formally verify the general solutions for the time-domain partial differential equations for the current and voltage in an electric transmission line. To demonstrate the practical effectiveness of our proposed formalization, we conduct a formal analysis of a terminated transmission line and its special cases, i.e., short-and open-circuited transmission lines commonly used in antenna design, by formally verifying the load impedance and the voltage reflection coefficient. © 2024, College Publications. All rights reserved.

关键词： Electric lines

来源：评论

学校读者我要写书评

暂无评论

Study of Electrical Characteristics for Dual-Gate TFTs With Asymmetric Defect Distributions and Gate Work Functions

引用

IEEE Transactions on Electron Devices 2023年第6期70卷 3390-3393页

作者： Hsu, Chih-Chieh Li, Jin-Xian Huang, Po-Cheng Jhang, Wun-Ciang Joodaki, Mojtaba National Yunlin University of Science and Technology Graduate School of Engineering Science and Technology Graduate School of Electronic Engineering Yunlin640301 Taiwan Constructor University School of Computer Science and Engineering Bremen28759 Germany

Combined effects of asymmetric defect distributions and asymmetric gate work functions (WFs) on the performances of self-aligned dual-gate poly-Si TFTs are investigated. Normally, small grains with plentiful grain boundaries (GBs) or other structural defects appear at different positions of the poly-Si film, which is dependent on the growth process of the film. Subgap states of acceptor-like tail, acceptor-like deep-level, donor-like tail, and donor-like deep-level states are used to emulate the defects. Two sets of density of states (DOS) are employed. We find that defects at different positions of the source-side and drain-side channels exhibit different influences on TFT performance and the influences are dependent on the WFs of the gates. TFTs with a higher gate WF can have a higher tolerance to the depth of the defect region. Besides the electrical characteristics, the combined effects of defects and gate WFs on current density distributions and electric field distributions in the channel regions are explored. The performance variations caused by the asymmetric defects along with asymmetric gate WFs can be explained. © 1963-2012 IEEE.

关键词： Thin film transistors

来源：评论

学校读者我要写书评

暂无评论

Influence of Ca Content on Microstructure and Mechanical Properties of Extruded Mg–Al–Ca–Mn Alloys

引用

Acta Metallurgica Sinica(English Letters) 2023年第3期36卷 426-438页

作者： Weiying Huang Jianhua Chen Zhen Jiang Xi Xiong Wei Qiu Jian Chen Xianwei Ren Liwei Lu Key Laboratory of Efficient&Clean Energy Utilization School of Energy and Power EngineeringChangsha University of Science&TechnologyChangsha 410114China School of Materials Science and Engineering North University of ChinaShuozhou 038507China Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult‑to‑Cut Material Hunan University of Science and TechnologyXiangtan 411201China

Herein,the effects of Ca content on microstructure,texture and mechanical properties of extruded Mg–3Al–0.4Mn–xCa(x=0.4,0.8 and 1.2 wt%)rods are systematically *** results reveal that the alloy,with Ca content of 0.8 wt%,exhibits the highest strength and ductility,possessing an ultimate tensile strength of 267.57 MPa and elongation(EL)of 16%.This is mainly due to the gradual transformation of typical fiber texture into a texture with a[10-11]component parallel to the extrusion direction(ED),which increases the Schmid factor of pyramidal slip and enhances the activation rate of pyramidal(c+a)***,the as-formed spherical phases and segregation of Ca at grain boundaries render a significant influence on the strength and ductility of the alloy.

关键词： Mg-Al-Mn-Ca Microstructure Texture Mechanical properties

来源：评论

学校读者我要写书评

暂无评论

Design of a ML-based trust prediction model using intelligent TrustBoxes in challenged networks

引用

International Journal of Systems, Control and Communications 2024年第3期15卷 209-234页

作者： Barai, Smritikona Kundu, Anindita Bhaumik, Parama Department of Computer Science and Engineering Heritage Institute of Technology Kolkata India Department of Software Systems School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu India Department of Information Technology Jadavpur University Kolkata India

Challenged networks (CNs) contain resource-constrained nodes deployed in regions where human intervention is difficult. Opportunistic networks (OppNets) are CNs with no predefined source-to-destination paths. Due to their inherent properties, CNs and OppNets are highly susceptible to black-hole (BH) attacks, resulting in degraded packet-delivery ratio. In this work, an ML-based trust prediction model (MLTPM) is proposed to identify potential BH nodes in OppNets. MLTPM uses a novel function to calculate the total-trust-value (TTV) of each node. Intelligent TrustBoxes are introduced in the network to identify possible BH nodes, using TTV, along with five more node-behaviour features. TrustBoxes reduce the computational overhead of the resource-constrained nodes. Three simulated scenarios are compared - no detection, non-ML-based detection, and MLTPM, each using epidemic, prophet, and spray-and-wait routing protocols. MLTPM performs best with spray-and-wait, exhibiting about 25.21% and 80% mean improvement in delivery-ratio and dropped-message numbers respectively, compared to non-ML-based detection. An overall 12.62% improvement in delivery-ratio and 26.7% improvement in dropped messages is observed using MLTPM, compared to the above-mentioned scenarios. © 2024 Inderscience Enterprises Ltd.

关键词： HTTP

来源：评论

学校读者我要写书评

暂无评论

A Robust Anomaly Detection Approach for IIoT Time Series 24

A Robust Anomaly Detection Approach for IIoT Time Series

引用

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Lu, Zexin School of Information and Electrical Engineering Hunan University of Science and Technology Xiangtan China

ISBN: (纸本)9798400710681

Industrial Internet of Thing (IIoT) time series anomaly detection aims to learn distinguishable hidden features from data samples and identify anomalous patterns in the data. However, the complexity, large size, lack of labeling and mostly noise-adulterated IIoT time series data pose challenges to the anomaly detection task in practical applications. To this end, this paper proposes a robust IIoT time series anomaly detection method, called RobAD. Firstly, we slice the time series into patches with different lengths at multiple scales, and learn the local patterns of each patch at multiple scales, which helps to capture the structural details at different time scales. And then, this paper designs the ResMLP Encoder, which learns accurately correlations between multiple variables in each patch at multiple scales. This capability helps the model to resist noise interference, thereby enhancing its overall robustness. Next, after learning the cycle potential patterns and variable correlations, a Discrepancy Contrasting Block is introduced with the aim to increase the distance between positive and negative samples. This mechanism highlights the difference between normal and noise samples, thereby improving the accuracy of the anomaly detection task. Finally, this paper also optimizes the objective function to train a robust model. Numerous experiments show that the RobAD designed in this paper outperforms multiple SOTA models. © 2024 Copyright held by the owner/author(s).

关键词： Industrial internet of things (IIoT)

来源：评论

学校读者我要写书评

暂无评论

Attentive Large Kernel Network with Mixture of Experts for Video Deblurring

引用

IEEE Transactions on Circuits and Systems for Video technology 2025年第6期35卷 5575-5588页

作者： Zhang, Chaopeng Xiong, Ruiqin Fan, Xiaopeng Zhao, Debin Peking University Institute of Digital Media School of Electronic Engineering and Computer Science Beijing100871 China Harbin Institute of Technology School of Computer Science and Technology Harbin150001 China Peng Cheng Laboratory Shenzhen519055 China

Video deblurring is a fundamental problem in low-level vision, and many methods have employed designs based on CNNs and transformers. Traditional CNNs often require deeper architectures to achieve a larger receptive field, which may not be optimal for spatially non-uniform blurs and intense motion blurs. While transformers offer a large receptive field, their quadratic complexity due to attention designs typically imposes a significant computational burden. In addressing these issues, we present an Attentive Large Kernel Network with Mixture of Experts (ALK-MoE). In ALK-MoE, an attentive large kernel backbone network is proposed. On one hand, it inherently extends the network's receptive field through its large kernel design. On the other hand, it addresses the quadratic complexity of attention by employing a sophisticated attention design, thus maintaining its ability to capture long-range dependencies. Furthermore, to achieve more precise and robust alignment of inter-frame features using optical flow for better utilization of clear frames, a mixture of experts model is proposed. It involves integrating optical flow updates between different experts in a residual manner. Our ablation experiments and experiments on multiple datasets indicate that ALK-MoE achieves comparable or superior performance compared to Transformer-based methods, with lower complexity. © 1991-2012 IEEE.

关键词： Multimedia systems

来源：评论

学校读者我要写书评

暂无评论

Dynamic Low-Rank Adaptation Based Pruning Algorithm for Large Language Models 7

Dynamic Low-Rank Adaptation Based Pruning Algorithm for Larg...

引用

7th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2024

作者： Li, Linfeng Guo, Lei School of Computer Science and Technology Xinjiang University Urumqi China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350350890

Deep neural networks have been getting better and better performance while the parameter size has become larger and larger, and have now entered the era of large language models (LLM). However, large language models with huge number of parameters are difficult to be deployed on edge devices with limited computing power and memory resources. Network pruning techniques can reduce the storage and computation requirements of large language models. Although Dynamic Low-Rank Adaptation (DyLoRA) allows efficient fine-tuning of LLM, the deployment of LLM is still hindered by large model sizes and computational costs. In this paper, we propose a DyLoRA-based pruning algorithm that uses gradient updating of DyLoRA module to define the importance of parameters, and then prune the least important parameters based on the resulting importance scores. Through experiments on commonly used evaluation datasets, it is demonstrated that the proposed pruning algorithm is able to achieve 96.60% of the performance of the original model with 20% of the parameters pruned, which outperforms the previous pruning algorithms. © 2024 IEEE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Enhancing Security and Privacy in Distributed Face Recognition Systems through Blockchain and GAN Technologies

引用

computers, Materials & Continua 2024年第5期79卷 2609-2623页

作者： Muhammad Ahmad Nawaz Ul Ghani Kun She Muhammad Arslan Rauf Shumaila Khan Javed Ali Khan Eman Abdullah Aldakheel Doaa Sami Khafaga School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu611731China Department of Computer Science University of Science&TechnologyBannu28100Pakistan Department of Computer Science University of HertfordshireHatfieldAL109ABUK Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

The use of privacy-enhanced facial recognition has increased in response to growing concerns about data securityand privacy in the digital age. This trend is spurred by rising demand for face recognition technology in a varietyof industries, including access control, law enforcement, surveillance, and internet communication. However,the growing usage of face recognition technology has created serious concerns about data monitoring and userprivacy preferences, especially in context-aware systems. In response to these problems, this study provides a novelframework that integrates sophisticated approaches such as Generative Adversarial Networks (GANs), Blockchain,and distributed computing to solve privacy concerns while maintaining exact face recognition. The framework’spainstaking design and execution strive to strike a compromise between precise face recognition and protectingpersonal data integrity in an increasingly interconnected environment. Using cutting-edge tools like Dlib for faceanalysis,Ray Cluster for distributed computing, and Blockchain for decentralized identity verification, the proposedsystem provides scalable and secure facial analysis while protecting user privacy. The study’s contributions includethe creation of a sustainable and scalable solution for privacy-aware face recognition, the implementation of flexibleprivacy computing approaches based on Blockchain networks, and the demonstration of higher performanceover previous methods. Specifically, the proposed StyleGAN model has an outstanding accuracy rate of 93.84%while processing high-resolution images from the CelebA-HQ dataset, beating other evaluated models such asProgressive GAN 90.27%, CycleGAN 89.80%, and MGAN 80.80%. With improvements in accuracy, speed, andprivacy protection, the framework has great promise for practical use in a variety of fields that need face recognitiontechnology. This study paves the way for future research in privacy-enhanced face recognition systems, emphasizingt

关键词： Facial recognition privacy protection blockchain GAN distributed 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：