检索结果-内蒙古大学图书馆

Optimizing Network Structures Through Neutrosophic Graph Product Operations and its Coloring: A Comprehensive Approach for Enhanced Connectivity and robustness

引用

Neutrosophic Sets and Systems 2025年 76卷 400-429页

作者： Meenakshi, A. dhanushiya, S. Department of Mathematics Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai600 062 India

Optimal network analysis requires advanced techniques to handle the inherent complexity and uncertainty of real-world systems. We have used vertex order coloring on neutrosophic graphs to find the most effective approach to improve network reliability and performance. Neutrosophic graphs( ) offer a comprehensive framework for modelling real-world networks with inherent uncertainties by incorporating degrees of truth, falsity, and indeterminacy. In this paper, we have investigated various graph product operations as a means of optimizing network structures. We further investigated the applications of vertex order coloring to identify and strong vertices within various graph operations of . We examined several products with the goal of determining the most optimal network based on particular important metrics including the total number of alpha-strong vertices, the weight of alpha-strong vertices, the chromatic number, and the weight of the graph's minimum spanning tree. The objective of our research is to identify the best solutions that strike a balance between robustness and association by rigorously studying and comparing various product operations. Our research advances the subject of network theory and provides useful information for a variety of applications, including social networks, transportation, and telecommunications. © 2025, University of New Mexico. All rights reserved.

关键词： Network theory (graphs)

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of 5G Core Network Control-Plane Using Open5GS and Kubernetes 17

Performance Evaluation of 5G Core Network Control-Plane Usin...

引用

17th International Conference on COMmunication Systems and NETworkS, COMSNETS 2025

作者： Sooraj Subramanian, M.S. Kanagarathinam, Madhan raj Sivalingam, Krishna M. Indian Institute of Technology Madras Department of Computer Science and Engineering Chennai India Samsung R&D Institute India Connectivity R&D Department Bangalore India

ISBN: (纸本)9798331531195

The 5G network's control-plane, a critical component of modern telecommunications infrastructure, manages the signaling and control functions that enable seamless connectivity and service delivery. This paper presents a comprehensive and in-depth performance evaluation of a 5G core network's control-plane deployed using Open5GS and Kubernetes. The study systematically examines critical performance metrics, including latency, throughput, and resource utilization, across various load conditions, providing a nuanced understanding of the network's behavior under stress. Using empirical data from a large-scale testbed simulating more than 50, 000 User Equipment (UE), this paper offers detailed insights into the performance characteristics, scalability, and resource efficiency of the 5G core *** addition to performance analysis, this work generates real-time packet traces from the large-scale experiment, which will be publicly available. These traces serve as a valuable resource for the broader research community, enabling further exploration and validation of the behaviors and performance of the 5G network. The findings of this study are particularly valuable for network operators, infrastructure providers, and researchers, as they offer critical guidance on optimizing 5G deployments. The results inform decisions about a sizing a Kubernetes cluster for 5G Core workload and which network functions (NFs) should be prioritized for scaling to meet the demands of next-generation mobile applications. © 2025 IEEE.

关键词： 5G mobile communication systems

来源：评论

学校读者我要写书评

暂无评论

CG-FCLNet:Category-Guided Feature Collaborative Learning Network for Semantic Segmentation of remote Sensing Images

引用

Computers, Materials & Continua 2025年第5期83卷 2751-2771页

作者： Min Yao Guangjie Hu Yaozu Zhang College of Information Engineering Shanghai Maritime UniversityShanghai201306China R&D Department Shanghai Freesense Technology Co.Ltd.Shanghai200000China

Semantic segmentation of remote sensing images is a critical research area in the field of remote *** the success of Convolutional Neural Networks(CNNs),they often fail to capture inter-layer feature relationships and fully leverage contextual information,leading to the loss of important ***,due to significant intraclass variation and small inter-class differences in remote sensing images,CNNs may experience class *** address these issues,we propose a novel Category-Guided Feature Collaborative Learning Network(CG-FCLNet),which enables fine-grained feature extraction and adaptive ***,we design a Feature Collaborative Learning Module(FCLM)to facilitate the tight interaction of multi-scale *** also introduce a Scale-Aware Fusion Module(SAFM),which iteratively fuses features from different layers using a spatial attention mechanism,enabling deeper feature ***,we design a Category-Guided Module(CGM)to extract category-aware information that guides feature fusion,ensuring that the fused featuresmore accurately reflect the semantic information of each category,thereby improving detailed *** experimental results show that CG-FCLNet achieves a Mean Intersection over Union(mIoU)of 83.46%,an mF1 of 90.87%,and an Overall Accuracy(OA)of 91.34% on the Vaihingen *** the Potsdam dataset,it achieves a mIoU of 86.54%,an mF1 of 92.65%,and an OA of 91.29%.These results highlight the superior performance of CG-FCLNet compared to existing state-of-the-art methods.

关键词： Semantic segmentation remote sensing feature context interaction attentionmodule category-guided module

来源：评论

学校读者我要写书评

暂无评论

Storage tank farming planning under equipment and port operational costs through mixed integer quadratically constrained programming

引用

Chemical Engineering research and design 2025年 218卷 80-94页

作者： Yalcin, damla deliismail, Ozgun Tuncer, Basak Sildir, Hasan Department of Chemical Engineering Izmir Institute of Technology Izmir35430 Turkey SOCAR Turkey R&D and Innovation Co. Izmir35800 Turkey

The study contributes a new method for managing crude oil tank farms, focusing on scheduling and optimizing storage tanks using mathematical modeling. The short-term continuous-time scheduling model reduces tank requirements and performs selection with convenient capacities. The nonconvex mixed-integer quadratically constrained programming (MIQCP) model is used to account for tank farm scheduling dynamics. It focuses on the integration of ships, storage tanks, charging tanks, and crude oil distillation units. The study examines 8 cases focusing on oil supply, arrival times, prices, and maximum flow rate constraints to show the impact of real-world volatility. By incorporating process intensification principles, the mathematical model emphasizes the importance of optimizing storage tank usage to minimize port operational costs of crude oils. © 2025

关键词： Continuous time systems

来源：评论

学校读者我要写书评

暂无评论

Analyzing and Mitigating Bias for Vulnerable road Users by Addressing Class Imbalance in datasets

IEEE Open Journal of Intelligent Transportation Systems

引用

IEEE Open Journal of Intelligent Transportation Systems 2025年 6卷 590-604页

作者： Katare, dewant Noguero, david Solans Park, Souneil Kourtellis, Nicolas Janssen, Marijn ding, Aaron Yi Delft University of Technology Department of Engineering Systems and Services Delft2600 AA Netherlands Telefónica R&D Telefónica Barcelona08019 Spain

Vulnerable road users (VrUs), including pedestrians, cyclists, and motorcyclists, account for approximately 50% of road traffic fatalities globally, as per the World Health Organization. In these scenarios, the accuracy and fairness of perception applications used in autonomous driving become critical to reduce such risks. For machine learning models, performing object classification and detection tasks, the focus has been on improving accuracy and enhancing model performance metrics;however, issues such as biases inherited in models, statistical imbalances and disparities within the datasets are often overlooked. Our research addresses these issues by exploring class imbalances among vulnerable road users by focusing on class distribution analysis, evaluating model performance, and bias impact assessment. Using popular CNN models and Vision Transformers (ViTs) with the nuScenes dataset, our performance evaluation shows detection disparities for underrepresented classes. Compared to related work, we focus on metric-specific and cost-sensitive learning for model optimization and bias mitigation, which includes data augmentation and resampling. Using the proposed mitigation approaches, we see improvement in IoU(%) and NdS(%) metrics from 71.3 to 75.6 and 80.6 to 83.7 for the CNN model. Similarly, for ViT, we observe improvement in IoU and NdS metrics from 74.9 to 79.2 and 83.8 to 87.1. This research contributes to developing reliable models while addressing inclusiveness for minority classes in datasets. Code can be accessed at: Biasdet. © 2020 IEEE.

关键词： Motor transportation

来源：评论

学校读者我要写书评

暂无评论

Modeling and simulation of a reconfigurable multifunctional optical sensor

引用

Optoelectronics Letters 2025年第4期21卷 205-211页

作者： Shaher dWIK Gurusamy SASIKALA Department of Electronics&Communication Engineering School of Electrical&CommunicationVel Tech Rangarajan Dr:Sagunthala R&D Institute of Science and TechnologyChennai 600062India

Position sensitive device(PSd)sensor is a vital optical element that is mainly used in tracking systems for visible light communication(VLC).recently,a new reconfigurable PSd architecture *** proposed architecture makes the PSd perform more functions by modifying its *** the PSd is mainly formed of an array of *** primary concept involves employing transistors to alternate between the operating modes of the photodiodes(photoconductive and photovoltaic).Additionally,alternating among output pins can be done based on the required *** paper presents the mathematical modeling and simulation of a reconfigurable-multifunctional optical sensor which can perform energy harvesting and data acquisition,as well as positioning,which is not available in the traditional *** using the MATLAB software tool was achieved to demonstrate the *** simulation results confirmed the validity of the mathematical modeling and proved that the modified sensor architecture,as depicted by the equations,accurately describes its *** proposed sensor is expected to extend the battery's lifecycle,reduce its physical size,and increase the integration and functionality of the *** presented sensor might be used in free space optical(FSO)communication like cube satellites or even in underwater wireless optical communication(UWOC).

关键词： reconfigurable optical sensor alternate operating modes tracking systems multifunctional optical element position sensitive device psd sensor PSd

来源：评论

学校读者我要写书评

暂无评论

dynamic compression characteristics of fiber-reinforced shoe press belts

引用

Tappi Journal 2025年第APR期2025卷 203-212页

作者： Wegele, Patrick Söderberg, L. daniel KTH Royal Institute of Technology Stockholm Sweden R&D engineer for J.M. Voith SE & Co. KG Heidenheim Germany Department of Fibre and Polymer Technology KTH Royal Institute of Technology Stockholm Sweden

Shoe press belts contribute significantly to the overall dewatering performance in the press section of a paper machine. Within the shoe press nip, the press belt faces a dynamic and multidimensional load that mainly leads to a compression of the structure. As this will cause a loss in void volume, knowledge of the dynamic compression characteristics of shoe press belts is crucial for optimized dewatering. A novel method was developed to examine the dynamic compression characteristics of grooved polyurethane press belts. Therefore, an experimental setup allowing realistic boundary conditions to test specimens was placed in a servo-hydraulic testing machine. Press belt specimens with different matrix material formulations and groove patterns were tested under varying load rates equivalent to different paper machine operational speeds. The results showed an evident sensitivity of the dynamic compression stiffness to the operational speed of the paper machine. This behavior was seen to be more sensitive to changes in the matrix material formulation than to adaptions of the groove pattern. As a result, the compression of the press belt within a shoe press nip is not only influenced by the peak pressure within the shoe press nip but also depends on the operational speed of the paper machine. Application: This study helps readers understand the impact of paper machine speed on the compression of shoe press belts, allowing them to choose a shoe press belt that provides optimized dewatering performance under specific operational conditions. © TAPPI Press 2025.

关键词： Paper products

来源：评论

学校读者我要写书评

暂无评论

design and Simulation of Improved Fast Charging Technique for Modern Electric Vehicle

Design and Simulation of Improved Fast Charging Technique fo...

引用

2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Sharavanan, M. Karthikumar, K. Karunanithi, K. Veltech Rangarajan Dr. Sagunthala R&d Institude of Science and Technology Department of Eee Chennai India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529833

The design and development of an electric car charging station in this study are suitable for a wide range of electric vehicles. When designing and integrating charging stations into real-time projects, the availability and accessibility of charging infrastructure are key considerations. Whereas developing charging systems, charging standards, procedures, charging levels, charging time reduction technique and control strategy. Most of the tasks carried out by the grid with this e-storage technology include charging and controlling the batteries in electric cars. The rules and modelling used in this research design are described in order to demonstrate how the charging system behaves. The findings demonstrate the capability of the suggested paradigm and the potential of the to demonstrate how the charging system behaves. The findings demonstrate the viability of the suggested paradigm and the potential of the charging systems. © 2025 IEEE.

关键词： Charging stations

来源：评论

学校读者我要写书评

暂无评论

Long-Term High-Temperature dynamic Gate Stress reliability of a Last-Generation, Automotive-Grade, Planar 1200 V SiC MOSFET 14

Long-Term High-Temperature Dynamic Gate Stress Reliability o...

引用

14th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2025

作者： Mauromicale, Giuseppe Sitta, Alessandro Fiore, Michele Calabretta, Michele Iannuzzo, Francesco STMicroelectronics Quality Manufacturing and Technology R&d Catania Italy University of Aalborg Department of Energy Technology Aalborg Denmark

ISBN: (纸本)9798331516116

In this work, the dynamic gate stress (dGS) on a planar-gate silicon carbide MOSFET is performed based on an automotive mission profile. An extensive characterization was performed, even beyond automotive qualification guidelines, including the effect of the temperature. The results show that the temperature accelerates the threshold voltage drift, which ranges from 3 % at room temperature up to 6 % at 125 °C and 150°C, with negligible impact on the on-state resistance. Moreover, we measured the gate-source voltage waveforms before and after the dGS stress, not finding significant variations in switching gradients. © 2025 IEEE.

关键词： Silicon carbide

来源：评论

学校读者我要写书评

暂无评论

Early Prediction of Heart disease using Modified Optuna-CNN Model: Performance Analysis

IAENG International Journal of Computer Science

引用

IAENG International Journal of Computer Science 2025年第2期52卷 464-473页

作者： r, Jeen retna Kumar J, Shajeena S, Saumiya P, Bini Palas M, Anushia r Stanley, Berakhah F Department of ECE Vel Tech Rangarajan Sagunthala R&D Institute of Science and Technology Chennai India Department of CSE SRM Institute of Science and Technology Tiruchirapalli India Department of ECE Chennai Institute of Technology Chennai India Department of ECE SRM Easwari Engineering College Chennai India Department of CSE DMI College of Engineering Chennai India

Heart disease is currently a major cause of death in the world. Primitive detection of heart disease is important for improving patient results and reducing the burden of cardiovascular disease on society. In recent years, deep CNN (convolutional neural networks) have shown promising results for detecting heart disease using patient parameters such as age, sex, blood pressure, cholesterol levels, BMI, and family history of heart disease. Also, choosing an appropriate hyperparameter is crucial for the success of model performance and obtaining optimum results. Optuna is a hyperparameter optimization algorithm that helps in finding the optimal set of hyperparameters. This paper presents a modified optuna-CNN model for early detection of heart disease by patient parameters. The procedure includes gathering information, preparing the data, choosing a suitable model, training the model, assessing its performance, and implementing it in a healthcare environment. The paper also discusses the potential benefits of using deep CNN for early detection of heart disease, including improved accuracy, sensitivity, and specificity, which can aid in early diagnosis and timely intervention. Overall, the application of deep convolutional neural networks (CNNs) to identify heart disease in its early stages based on patient characteristics is a hopeful field of study that could enhance patient results and minimize the consequences of heart disease on people and the community. © (2025), (International Association of Engineers). All rights reserved.

关键词： Convolutional neural networks

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：