检索结果-内蒙古大学图书馆

Enhancement of magnetic and dielectric properties of low temperature sintered NiCuZn ferrite by Bi_(2)O_(3)-CuO additives

引用

Chinese Physics B 2022年第4期31卷 660-666页

作者： Jie Li Bing Lu Ying Zhang Jian Wu Yan Yang Xue-Ning Han Dan-Dan Wen Zheng Liang Huai-Wu Zhang State Key Laboratory of Electronic Thin Film and Integrated Devices University of Electronic Science and Technology of ChinaChengdu 610054China College of Communication Engineering Chengdu University of Information TechnologyChengdu 610225China Chongqing Engineering Research Center of Intelligent Sensing Technology and Microsystem Chongqing University of Post and TelecommunicationsChongqing 400065China

With a series of 1.0 wt%Bi_(2)O_(3)-x wt%CuO(x=0.0,0.2,0.4,0.6,and 0.8)serving as sintering additives,Ni_(0.23)Cu_(0.32)Zn_(0.45)Ee_(2)O_(4)ferrites are successfully synthesized at a low temperature(900℃)by using the solid state reaction *** effects of the additives on the phase formation,magnetic and dielectric properties as well as the structural and gyromagnetic properties are *** x-ray diffraction(XRD)results indicate that the added Bi_(2)O_(3)-CuO can lower the synthesis temperature significantly without the appearing of the second *** scanning electron microscope(SEM)images confirm that Bi_(2)O_(3)is an important factor that determines the sintering behaviors,while CuO affects the grain size and *** CuO content x=0.4 or 0.6,the sample shows high saturation magnetization,low coercivity,high real part of magnetic permeability,dielectric permittivity,and small ferromagnetic resonance linewidth(ΔH).The NiCuZn ferrites are a promising new generation of high-performance microwave devices,such as phase shifters and isolators.

关键词： NiCuZn ferrite Bi_(2)O_(3)-CuO additive magnetic properties dielectric properties ferromagnetic resonance(FMR)linewidth

来源：评论

学校读者我要写书评

暂无评论

Design of Compact Ultra-Wideband Horn Antenna for Onboard Short Range Radar 9

Design of Compact Ultra-Wideband Horn Antenna for Onboard Sh...

引用

9th IEEE All-Russian Microwave Conference, RMC 2024

作者： Likhoedenko, Konstantin P. Karakulin, Yury V. Tyotushkin, Dmitriy A. Suchkov, Victor B. Perov, Alexey Y. Seregin, Grigory M. Bauman Moscow State Technical University Department of Autonomous Information and Control Systems Moscow Russia Moscow Intsitute of Physics and Technology Research and Development Center for Mobile Communication Components and Manufacturing Technology Moscow Russia

ISBN: (纸本)9798331540944

The paper presents a methodology for designing a compact ultra-wideband antenna for an airborne radar. The features of the ultra-wideband horn antenna are substantiated, such as small weight and dimensions, which allow to place antenna on a quadcopter-type unmanned aerial vehicle. A methodology for synthesizing the antenna design in FEKO CAD is presented. The results of numerical modeling and experimental studies of the standing wave ratio of the developed ultra-wideband horn antenna in the frequency band from 1.6 to 4 GHz are presented. © 2024 IEEE.

关键词： Horn antennas

来源：评论

学校读者我要写书评

暂无评论

A method of noisy Tibetan speakers verification based on SKA-TDNN 2

A method of noisy Tibetan speakers verification based on SKA...

引用

2nd Asia Conference on Electrical, Power and Computer Engineering, EPCE 2023

作者： Gan, Zhenye Qu, Ziqian Li, Jincheng Yu, Yue Northwest Normal University Engineering Research Center of Gansu Province for Intelligent Information Technology and Application College of Physics and Electronic Engineering LanZhou China

ISBN: (纸本)9798350310818

In recent years, the research of speech enhancement application technology has important practical value. At the same time, speaker recognition is widely studied and used as a very valuable biometric recognition technology. However, the application of speech enhancement and speaker recognition technology in Tibetan is few. Due to the lack of speech enhancement back-end processing, the speaker recognition system may lead to low speech quality and low intelligibility. In this paper, the backend structure framework of SKA-TDNN network and Wave-U-Net model is constructed to realize noisy Tibetan speaker verification, and the model is improved and optimized. For speaker recognition, we use the model structure of SKA-TDNN in combination with multiscale SKA (msSKA) to better model utterances with different durations. In the back-end processing of speech enhancement, we use WAVE-U-NET structure and introduce further improved optimization architecture. Experimental results show that the improved SKA- TDNN model in speaker verification than traditional investigate VGG model was reduced by 5.225%, than ECAPA -TDNN model was reduced by 1.5%, and got close to 0.94 STOI in speech enhancement. © 2023 IEEE.

关键词： Speech enhancement

来源：评论

学校读者我要写书评

暂无评论

Heterogeneous Wireless Resources On-demand Access Distributed Decision Based on Spectrum Sensing

Heterogeneous Wireless Resources On-demand Access Distribute...

引用

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

作者： Zhang, ShuYing Yang, Kunze Ni, ZuYao Su, Ming Tsinghua University Beijing National Research Center for Information Science and Technology Beijing China Tsinghua University Department of Electronic Engineering Beijing China

ISBN: (纸本)9798350345407

In this paper, we investigate the problem of multi-user on-demand access to heterogeneous wireless resources based on spectrum sensing (SS) considering the impact of traffic buffering scenarios, the variation of channel occupancy, and channel quality levels. Because both variations can be modeled as Markov chains, a two-layer Markov chain modeling approach and a two-layer Multi-Agent deep reinforcement learning (MARL) training model are used to achieve a reasonable matching of users' load degrees with the heterogeneous wireless resource blocks. Specifically, the local information of spectrum sensing is used as the input state of the outer layer Agent, while the user's current traffic queue information and the action decisions collected by the local accumulation window, and the corresponding acknowledge (ACK) feedback are used as the input state of the inner layer. A network-wide utility function associated with the user traffic changes is used to centrally train the two layers of user Agents offline. According to the simulation results, the proposed algorithm significantly simplifies the online computation and online interaction process because the complex training process has been completed offline. © 2023 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Advanced method for compiling a high-resolution gridded anthropogenic CO2 emission inventory at a regional scale

引用

地球空间信息科学学报（英文版） 2025年第1期28卷中插7,117-130页

作者： Meiqi Xu Ge Han Zhipeng Pei Hongwei Yu Siwei Li Wei Gong Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina Perception and Effectiveness Assessment for Carbon-neutrality Efforts Engineering Research Center of Ministry of Education Institute for Carbon NeutralityWuhan UniversityWuhanChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina Perception and Effectiveness Assessment for Carbon-neutrality Efforts Engineering Research Center of Ministry of Education Institute for Carbon NeutralityWuhan UniversityWuhanChina Institution of Quality Development Strategy Wuhan UniversityWuhanChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina Electronic Information School Wuhan UniversityWuhanChina Wuhan Institute of Quantum Technology WuhanChina

As global climate change accelerates,the need for precise and high-resolution carbon emission inventories becomes increasingly urgent,particularly in rapidly developing *** study introduces an advanced methodology for constructing regional-scale gridded anthropogenic CO2 emission inventories,integrating the latest energy consumption data and remote sensing *** systematically calculating emissions across various sectors and energy types,and utilizing Geographic information System(GIS)for spatial distribution,we have generated a high-resolution emission map with a 1 km×1 km *** accuracy of the map was validated through regression analysis with the Multi-resolution Emission Inventory for China(MEIC)dataset,ensuring its *** work provides critical insights for targeted emission reduction strategies,contributing to the formulation of sustainable development policies that align with global climate objectives.

关键词： Energy balance table carbon emissions high-resolution spatial allocation

来源：评论

学校读者我要写书评

暂无评论

TLRNet: Tibetan Lip Reading Based on ResNet and BiGRU 2

TLRNet: Tibetan Lip Reading Based on ResNet and BiGRU

引用

2nd Asia Conference on Electrical, Power and Computer Engineering, EPCE 2023

作者： Gan, Zhenye Ding, Xu Yu, Xinke Kong, Zhenxing Northwest Normal University Engineering Research Center of Gansu Province for Intelligent Information Technology and Application College of Physics and Electronic Engineering Lanzhou China

ISBN: (纸本)9798350310818

Lip reading, also known as visual speech recognition, is a way of human-computer interaction based on visual information. At present, the research on lip reading mainly focuses on English and Mandarin Chinese, and there are relatively few studies on Tibetan, a low-resource minority language. Therefore, the present study proposes a specific deep learning model named the TLRNet for word-level visual speech recognition for Tibetan. The model comprises the ResNet-18 architecture, which is a residual neural network, and the BiGRU layer, a bi-directional gated recurrent unit. We train and evaluate it on the TLRW-50 dataset, which consists of fifty common Tibetan words. Our proposed model achieves Top-1 and Top-5 classification accuracies of 41.82% and 59.37%, respectively, demonstrating its potential effectiveness in recognizing Tibetan spoken words based on visual cues. © 2023 IEEE.

关键词： Human computer interaction

来源：评论

学校读者我要写书评

暂无评论

A machine learning framework for predicting downlink throughput in 4G-LTE/5G cellular networks

引用

International Journal of information technology (Singapore) 2024年第2期16卷 651-657页

作者： Al-Thaedan, Abbas Shakir, Zaenab Mjhool, Ahmed Yaseen Alsabah, Ruaa Al-Sabbagh, Ali Nembhard, Fitzroy Salah, Monera Al-Muthanna University Samawah Iraq Information Technology Research and Development Center (ITRDC) University of Kufa Najaf Iraq Information Technology Department College of Information Technology and Computer Sciences University of Kerbala Kerbala Iraq Information Technology Department Al-Taff University College Kerbala Iraq Ministry of Communication ITPC Kerbala Iraq L3Harris Institute for Assured Information Florida Institute of Technology Melbourne FL United States TeleWorld Solutions Chantilly VA United States

The current and next generations of cellular networks produce a massive amount of data. With this vast parameter increase, cellular communication networks have grown incredibly complicated. In addition, these cellular networks are unmanaged with conventional techniques, and a more advanced design and optimization methodology that depends on Machine Learning (ML) models is necessary. This work proposes a framework model for predicting downlink throughput (DL-Throughput) using ML models in fourth and fifth generations (4G/5G) cellular networks. The important parameters are selected from data measurements based on the correlation coefficient. The critical and effective parameters such as Reference Signal Received Power (RSRP), Signal to Interference and Noise Ratio(SINR), Received Signal Strength Indicator (RSSI), and Reference Signal Receive Quality (RSRQ) have been applied for the training model to predict the DL-Throughput in cellular networks. The prediction accuracy of the determination coefficient ranges between 89% and 96% from three different operators. © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s);author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

关键词： 4G-LTE 5G Correlation Framework Machine learning

来源：评论

学校读者我要写书评

暂无评论

A Wireless Neural Interface Device for Simultaneous Optogenetics and Neural Recording

A Wireless Neural Interface Device for Simultaneous Optogene...

引用

2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023

作者： Guo, Yongxiang Ma, Zhixiong Sheng, Dawid Lei, Jiaxin Zhang, Milin Wang, Tongfei Sheng, Xing Tsinghua University Department of Electronic Engineering China Tsinghua University Beijing National Research Center for Information Science and Technology China Beijing China

ISBN: (纸本)9798350300260

This paper proposed a wireless neural interface device integrated both optical stimulation for optogenetics and neural recording. The proposed design enables advanced multiple-mode neuromodulation paradigms performed on a freely moving animal subject. Bluetooth Low Energy (BLE) is used for wireless control and data transmission. The recording channels support an 8k Samples/s data rate and a 24-bit data resolution with low-noise PGA of 2.8μVrms and low power consumption of 335μW/channel. The stimulation channels allow a maximum output current of 10mA which can drive micro-LED probes for optical stimulation implanted in animals. The programmable Micro Controller Unit (MCU) enables open/closed-loop neural modulation. Measurement results and in-vivo experiment demonstrate the feasibility and efficacy of the proposed wireless neural interface device. © 2023 IEEE.

关键词： Micro-LED Probe Neural Recording Optical Stimulation Optogenetics Wireless Neural Interface

来源：评论

学校读者我要写书评

暂无评论

YOLOv7-based Object detection method for coal gangue

YOLOv7-based Object detection method for coal gangue

引用

2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023

作者： Zhang, Yuanhao Ji, Liang Ren, Shuwen Ma, Jian Xu, Chenwei Ccteg Changzhou Research Institute Research and Development Center Changzhou213000 China China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China

ISBN: (纸本)9798350327182

This paper presents a model and instructions for a coal gangue detection method. The separation of coal and gangue is of great significance for environmental protection and efficient resource utilization. As science and technology continue to develop, coal sorting requires intelligent, information-based, and specialized approaches to accelerate the construction of a modern economic system characterized by green and low-carbon, promoting the high-quality development of the coal industry. Coal and gangue have similar colors and irregular shapes, which results in low detection accuracy, misdetection, omission, and challenges in coal and gangue identification and sorting. To tackle these issues, this study proposes a series of enhancements to the YOLOv7 algorithm, including the replacement of the ELANNet backbone network with the CSPDarkNet structure, addition of the SE attention mechanism, and substitution of the loss function with SIoU, to improve coal gangue detection performance. Experimental results demonstrate that the improved YOLOv7 algorithm achieves a detection accuracy of 95.2% for coal gangue, which is 2.4% higher than the YOLOv7 model. Additionally, the improved YOLOv7 model is more robust, avoiding missed detection and false detection effectively and completing the coal gangue object detection task more efficiently. © 2023 IEEE.

关键词： Coal

来源：评论

学校读者我要写书评

暂无评论

Nonlinear model of current and voltage for carbon nanotube yarns

Nonlinear model of current and voltage for carbon nanotube y...

引用

2024 International Workshop on Automation, Control, and Communication Engineering, IWACCE 2024

作者： Liu, Chengkun Dong, Ruili Tan, Yonghong The College of Information Science and Technology Engineering Research Center of Digitalized Textile & Fashion Technology Donghua University Shanghai201620 China The College of Mechanical and Electronic Engineering Shanghai Normal University Shanghai200234 China

ISBN: (数字)9781510685420

ISBN: (纸本)9781510685413

Carbon nanotube yarns have extremely high flexibility and tensile resistance, as well as excellent conductivity and thermal conductivity, making them widely used in fields such as textiles, electronic devices, medical devices, aerospace, and more. The electrical characteristics is important for the application of carbon nanotube yarns. Thus, the relationship between the current and voltage of carbon nanotube yarns is analyzed by experimental research in the paper. Based on the experimental results, a backlash model is used to describe this relationship, and the parameters of backlash model are identified using the batch least squares method. Finally, the experimental results show that the established model can well describe this nonlinear relationship of carbon nanotube yarns. © 2024 SPIE. All rights reserved.

关键词： electronic medical equipment

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：