检索结果-内蒙古大学图书馆

Triangle Topology Enhancement for Multi-View Graph Clustering

IEEE Transactions on Knowledge and Data engineering 2025年第7期37卷 4338-4348页

作者： Wu, Danyang Wang, Penglei Lu, Jitao Hu, Zhanxuan Zhang, Hongming Nie, Feiping Northwest A&F University College of Information Engineering Yangling712100 China South China University of Technology School of Software Engineering Guangzhou510641 China Xi’an Jiaotong University School of Automation Science and Engineering Faculty of Electronic and Information Engineering Xi’an710049 China Yunnan Normal University School of Information Science and Technology Kunming650092 China Northwestern Polytechnical University School of Computer Science School of Artificial Intelligence OPtics and ElectroNics Xi’an710072 China Northwestern Polytechnical University Key Laboratory of Intelligent Interaction and Applications Ministry of Industry and Information Technology Xi’an710072 China

Most existing multi-view graph clustering models focus on integrating the topological structure of different views directly, which cannot efficiently stimulate the collaboration between multiple views. To alleviate this problem, this paper proposes a Triangle Topology Enhancement (T2E) module, which expands two topological structures based on the raw topology of each view, including the self-triangle enhanced topology that highlights the local view information and the cross-view triangle enhanced topology containing the global-local view information. Afterward, this paper designs a novel multi-view graph clustering model, named MGC-T2E, to integrate both the raw and derived topological structures and directly induce consistent clustering indicators based on a self-supervised clustering module. In the simulation, the experimental results demonstrate that MGC-T2E achieves state-of-the-art performances compared with a mass of current competitors. © 1989-2012 IEEE.

关键词： Topology

来源：评论

学校读者我要写书评

暂无评论

Evaluation and Measures for Improving the Energy Efficiency of Medium-Sized Enterprises 8

Evaluation and Measures for Improving the Energy Efficiency ...

引用

8th Junior Conference on Lighting, Lighting 2023

作者： Stanchev, Plamen Vacheva, Gergana Hinov, Nikolay Technical University of Sofia Faculty of Computer Systems and Technologies Departement of Information Technology in Industry Sofia Bulgaria Technical University of Sofia Faculty of Electronic Engineering and Technologies Departement of Power Electronics Sofia Bulgaria

ISBN: (纸本)9798350328295

In the presented article, an assessment and measurements were realized to determine the energy efficiency of a medium-sized industrial enterprise. Real data from a three-shift plant was used. An assessment of the current electricity consumption was made and an energy audit was carried out to reduce electricity costs. The main goal of the current research is to ensure the basic functionality of the buildings, as well as the production-Technological process, ensuring minimum electricity costs and maximum efficiency. © 2023 IEEE.

关键词： Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Design and Performance Analysis of Dual Resonance Millimeter Wave Reflectarray Unit Cells for 5G Communication Systems

Design and Performance Analysis of Dual Resonance Millimeter...

引用

engineering & Computing Technologies (ICECT), International Conference on

作者： Izhar Ahmed Sohu Muhammad Inam Abbasi Imran Mohd Ibrahim Arslan Sohoo Ahmed Adam Wong Yoon Khang Sher Dali Khan Faculty of Electronic and Computer Engineering (FKEKK) Universiti Teknikal Malaysia Melaka (UTeM) Faculty of Electrical and Electronic Engineering Technology (FTKEE) Universiti Teknikal Malaysia Melaka (UTeM) Faculty of Electrical and Electronic Engineering (FKEE) University Tun Hussein Onn Malaysia Malaysia

ISBN: (数字)9798350349719

ISBN: (纸本)9798350349726

This paper introduces a novel design for a single-layer reflectarray antenna capable of dual resonance operation specifically targeted for 28/38 GHz 5G communication systems. The design incorporates a rectangular ring-loaded patch integrated into a conventional microstrip reflectarray, enabling the antenna to achieve dual resonance at the desired frequencies. Furthermore, a comprehensive parametric study was conducted to investigate the impact of significant dimensions within the design and characterization of different material properties. The study involved thorough analysis using a commercially available CST computer model. The fabricated design configurations were implemented on a substrate with a thickness of 0.51 mm, specifically using Rogers Duroid 5880 material. The simulated results indicate that the proposed unit cell element resonates at two different frequencies (28/38 GHz) and obtained promising return loss S(1,1) and reflection phase that can be used in designing a reflectarray antenna design for future communication systems.

关键词： Communication systems 5G mobile communication Resonant frequency Microstrip antennas Reflector antennas Resonance Reflection

来源：评论

学校读者我要写书评

暂无评论

Passive RFID Tag Antenna on Kapton Substrate

Passive RFID Tag Antenna on Kapton Substrate

引用

International Symposium on Antennas and Propagation (ISAP)

作者： Maryam Md. Isa Tark Farnana Intan Hasan Mohd Nizar Hamidon Aduwati Sali Electrical and Electronic Engineering Faculty of Engineering Universiti Putra Malaysia Serdang Malaysia Electrical and Electronic Engineering Institute of Nanoscience and Nanotechnology Universiti Putra Malaysia Serdang Malaysia Computer and Communication Engineering Faculty of Engineering Universiti Putra Malaysia Serdang Malaysia

ISBN: (数字)9798350364774

ISBN: (纸本)9798350364781

The main goal in the RFID tag antenna design is to reduce the antenna size while maintaining the gain high as possible. In this paper, we propose a design of UHF RFID tag meander dipole antenna on Kapton, the antenna resonates at 921 MHz – the mid-frequency of the Malaysian band for UHF RFID. The antenna was matched to NXP UCODE G2iL chip. The antenna was designed and optimized using CST software. The overall antenna dimensions were 85.93 x 19.7 mm, and the maximum gain achieved was 1.92 dBi, and the antenna is linearly polarized. The maximum theoretical read range can be achieved in free space by a circularly polarized 4 watts EIRP reader was estimated to be 11.5 meters.

关键词： Meters Dipole antennas Design methodology Resonant frequency Bandwidth UHF antennas Software Passive RFID tags Substrates Optimization

来源：评论

学校读者我要写书评

暂无评论

Development of Smart Beehive Frame for Multi-Parameter Monitoring 33

Development of Smart Beehive Frame for Multi-Parameter Monit...

引用

33rd IEEE International Conference on Microelectronics, MIEL 2023

作者： Milovanovic, M. Pejic, J. Pejic, P. University of Niš Faculty of Electronic Engineering Department of Electronics Niš18000 Serbia University of Niš Faculty of Sciences and Mathematics Department of Computer Science Niš18000 Serbia Belgrade Metropolitan University Faculty of Information Technology Serbia

ISBN: (纸本)9798350347760

Honeybees are essential for pollination in agriculture. This paper presents a smart beehive frame for multi-parameter monitoring. The system is based on opto elements that emit IR light to the honeycomb and measure the reflection. The results showed that this kind of system can be used in practice to decrease the number of the visual on-site observations of the bee colonies. © 2023 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Efficient Deep CNN Model for COVID-19 Classification

引用

computers, Materials & Continua 2022年第3期70卷 4373-4391页

作者： Walid El-Shafai Amira A.Mahmoud El-Sayed M.El-Rabaie Taha E.Taha Osama F.Zahran Adel S.El-Fishawy Mohammed Abd-Elnaby Fathi E.Abd El-Samie Department Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Coronavirus(COVID-19)infection was initially acknowledged as a global pandemic in Wuhan in *** Health Organization(WHO)stated that the COVID-19 is an epidemic that causes a 3.4%death *** X-Ray(CXR)and computerized Tomography(CT)screening of infected persons are essential in diagnosis *** are numerous ways to identify positive COVID-19 *** of the fundamental ways is radiology imaging through CXR,or CT *** comparison of CT and CXR scans revealed that CT scans are more effective in the diagnosis process due to their high ***,automated classification techniques are required to facilitate the diagnosis *** Learning(DL)is an effective tool that can be utilized for detection and classification this type of medical *** deep Convolutional Neural Networks(CNNs)can learn and extract essential features from different medical image *** this paper,a CNN architecture for automated COVID-19 detection from CXR and CT images is *** activation functions as well as three optimizers are tested and compared for this *** proposed architecture is built from scratch and the COVID-19 image datasets are directly fed to train *** performance is tested and investigated on the CT and CXR *** activation functions:Tanh,Sigmoid,and ReLU are compared using a constant learning rate and different batch *** optimizers are studied with different batch sizes and a constant learning ***,a comparison between different combinations of activation functions and optimizers is presented,and the optimal configuration is ***,the main objective is to improve the detection accuracy of COVID-19 from CXR and CT images using DL by employing CNNs to classify medical COVID-19 images in an early *** proposed model achieves a classification accuracy of 91.67%on CXR image dataset,and a classification accuracy of 100%on CT dataset with training times of 58 min and 46 min on CXR an

关键词： COVID-19 image classification CNN DL activation functions optimizers

来源：评论

学校读者我要写书评

暂无评论

An Unequal Error Protection-based Coded Transmission for Federated Learning

An Unequal Error Protection-based Coded Transmission for Fed...

引用

2023 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2023

作者： Lu, Qingya Xu, Rongchi Liu, Chang Li, Shuangyang Bai, Baoming Xidian University State Key Laboratory of Isn Xi'an China Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Hong Kong Technical University of Berlin Faculty of Electrical Engineering and Computer Science Berlin Germany

ISBN: (纸本)9798350345407

Effective data transmission plays a crucial role in federated learning (FL), which enables collaborative model training without centralizing data. This paper proposes a new coded transmission to enhance the communication quality for FL. The proposed coded transmission incorporates weight quantization, multilevel coding, set partitioning, and multi-stage decoding which are optimized to improve the FL performance. Furthermore, the unequal error protection (UEP) strategy is adopted in the proposed coded transmission, which allows the code rates to be optimized according to the significance of the quantized data. Simulation results demonstrate that the proposed UEP-based coded transmission outperforms conventional bit-interleaved coded modulation (BICM) scheme in terms of NMSE performance for FL, which, in return, improves the FL performance. © 2023 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

E-mode p-channel GaN/AlGaN HFETs with κ-Ga2O3 as gate oxide

引用

Optical and Quantum electronics 2025年第5期57卷 1-15页

作者： Ma, Wenchao Wang, Wei Wang, Jin Wang, Rui Zhi, Ting Parkhomenko, Irina N. Komarov, Fadei F. Chen, Dunjun Zhang, Rong Xue, Junjun Nanjing University of Posts and Telecommunications Nanjing210023 China Faculty of Radiophysics and Computer Sciences Belarusian State University Minsk220045 Belarus A.N. Sevchenko Institute of Applied Physical Problems of Belarusian State University Minsk220045 Belarus Key Laboratory of Advanced Photonic and Electronic Materials School of Electronic Science and Engineering Nanjing University Nanjing210023 China

In this article, a κ-Ga2O3 cap layer is introduced as gate dielectric to achieve E-mode GaN p-channel heterostructure FETs (p-HFETs). Due to the high spontaneous polarization of κ-Ga2O3, 2DEG that up to 1.51 × 1014 cm− 2 are induced at the κ-Ga2O3/GaN interface. Based on device simulations, the threshold voltage (VTH) can reach a high value of -2.42 V and maintain negative even when the thickness of the GaN channel (tch) is increased to 50 nm. By interconnecting base and gate to form a double-gate (DG) structure, the control of 2DEG and 2DHG can be realized. The results show that p-HFETs with DG structure not only exhibit a threefold increase in the on-current (ION) while maintaining the E-mode operation, reaching 24.87 mA/mm with VTH of -1.25 V, but also reduce the gate leakage current at forward bias. Furthermore, the utilization of κ-Ga2O3 as the gate dielectric results in an enhancement of the gate breakdown voltage to -35.8 V. The proposed DG p-HFETs represent a promising approach to achieving high-performance enhancement mode p-channel GaN devices. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Gallium nitride

来源：评论

学校读者我要写书评

暂无评论

A Pattern Recognition Neural Network Approach for an SSVEP-Based Brain-computer Interface 17

A Pattern Recognition Neural Network Approach for an SSVEP-B...

引用

17th IEEE International Conference on Industrial and Information Systems, ICIIS 2023

作者： Jayarathne, Sachintha K. Rajapakshe, Oshadhi P. Siriwardhana, Shashini M. Kim, Kwangtaek Dassanayake, Tharaka L. Harischandra, Nalin Wijayakulasooriya, Janaka Ranaweera, Ruwan University of Peradeniya Faculty of Engineering Department of Electrical and Electronic Engineering Peradeniya20400 Sri Lanka Kent State University Department of Computer Science KentOH44242 United States University of Peradeniya Faculty of Medicine Department of Physiology Peradeniya20400 Sri Lanka

ISBN: (纸本)9798350323634

This paper proposes an algorithm for feature extraction and classification for a Steady State Visual Evoked Potentials-based Brain-computer Interface to control a device using four commands. An energy-based dataset created using Parseval's Energy Theorem is used for the feature extraction, while a Shallow Pattern Recognition Neural Network is used in feature classification. Further, the algorithm's performance is evaluated for different numbers of channels and combinations, and 96.7% accuracy is obtained for 16 electroencephalogram channels. This study's findings can help to develop brain controlled devices and assistive technology for individuals with motor disabilities for an improved quality of life. © 2023 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Crowd-Counting of Images in Rainy Weather Based on GAN-U-Net Model and Multi-column CNN Counting Approaches 3

Crowd-Counting of Images in Rainy Weather Based on GAN-U-Net...

引用

3rd IEEE International Conference on electronic engineering, ICEEM 2023

作者： Saad, Rasha A. Abd El-Samie, Fathi E. Abdel-Azim, Mohammed El-Hoseny, Heba M. Obour Higher Institute for Engineering and Technology Department of Electronics and Electrical Communications Egypt Menoufia University Faculty of Electronic Engineering Department of Electronics and Electrical Communications Egypt Mansoura University Faculty of Engineering Department of Electronics and Electrical Communications Egypt The Higher Future Institute for Specialized Technological Studies Department of Computer Science Egypt

ISBN: (纸本)9798350323511

A count of crowds tries to determine the total number of persons in crowded places in order to avoid disruption of the safety system and maintain crowd safety. Accurate estimation of the size of crowds is a challenging process because of numerous challenges like occlusion, complicated backgrounds, varying sizes, uneven distribution, alteration of lighting, and adaptable weather. In this study, we propose a solution to two crowd counting challenges: poor weather such as rain and image scaling. We investigate crowd counting in the rainy Shanghai-Tec images. We adopt the GAN-U-Net de-raining model and the SAS-Net [1] and SGA-Net [2] crowd-counting models in our study. © 2023 IEEE.

关键词： computer vision

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：