检索结果-内蒙古大学图书馆

Information Science and Education (ICISE-IE), International Conference on

作者： Xiaopan Chen Haiyang Bai Xiaoke Zhu Lingyuan Dong School of Computer and Information Engineering Henan University Kaifeng China Henan Engineering Research Center of Intelligent Technology Henan University Kaifeng China Henan Key Laboratory of Big Data Analysis and Processing Henan University Kaifeng China

The evaluation of programming course instruction is a key component of educational management. However, relying solely on supervising teachers for assessment poses challenges in comprehensive evaluation and providing feedback on students' classroom learning status. Additionally, a significant amount of monitoring video data from programming courses in Chinese universities remains underutilized. To address these challenges, this paper combines traditional educational management with artificial intelligence and proposes an intelligent algorithm for detecting students' learning status in programming courses. We first establish a dual YOLO network model to analyze students' postures and screen content in programming classroom monitoring videos, thereby identifying their behaviors. Subsequently, we develop a Programming Classroom Student Behavior Recognition System (PCSBS) that integrates data collection, student behavior detection, and result visualization functionalities. Experimental results demonstrate that the system can accurately provide feedback on students' programming course learning status, offering graded results that assist supervising teachers in their classroom instructional evaluation tasks to enhance educational management efficiency.

关键词：

来源：评论

学校读者我要写书评

暂无评论

multiPI-TransBTS: A Multi-Path Learning Framework for Brain Tumor Image Segmentation Based on Multi-Physical Information

arXiv

引用

arXiv 2024年

作者： Zhu, Hongjun Huang, Jiaohang Chen, Kuo Ying, Xuehui Qian, Ying School of Software Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing Engineering Research Center of Software Quality Assurance Testing and Assessment Chongqing400065 China Key Laboratory of Big Data Intelligent Computing Chongqing University of Posts and Telecommunications Chongqing400065 China

Brain Tumor Segmentation (BraTS) plays a critical role in clinical diagnosis, treatment planning, and monitoring the progression of brain tumors. However, due to the variability in tumor appearance, size, and intensity across different MRI modalities, automated segmentation remains a challenging task. In this study, we propose a novel Transformer-based framework, multiPI-TransBTS, which integrates multi-physical information to enhance segmentation accuracy. The model leverages spatial information, semantic information, and multi-modal imaging data, addressing the inherent heterogeneity in brain tumor characteristics. The multiPI-TransBTS framework consists of an encoder, an Adaptive Feature Fusion (AFF) module, and a multi-source, multi-scale feature decoder. The encoder incorporates a multi-branch architecture to separately extract modality-specific features from different MRI sequences. The AFF module fuses information from multiple sources using channel-wise and element-wise attention, ensuring effective feature recalibration. The decoder combines both common and task-specific features through a Task-Specific Feature Introduction (TSFI) strategy, producing accurate segmentation outputs for Whole Tumor (WT), Tumor Core (TC), and Enhancing Tumor (ET) regions. Comprehensive evaluations on the BraTS2019 and BraTS2020 datasets demonstrate the superiority of multiPI-TransBTS over the state-of-the-art methods. The model consistently achieves better Dice coefficients, Hausdorff distances, and Sensitivity scores, highlighting its effectiveness in addressing the BraTS challenges. Our results also indicate the need for further exploration of the balance between precision and recall in the ET segmentation task. The proposed framework represents a significant advancement in BraTS, with potential implications for improving clinical outcomes for brain tumor patients. Copyright © 2024, The Authors. All rights reserved.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

A Monolithically Polyjet 3-D Printed Millimeter-Wave Quasi-Planar Air-Filled Cavity-Backed Patch Antenna With Enhanced Gain

A Monolithically Polyjet 3-D Printed Millimeter-Wave Quasi-P...

引用

European Conference on Microwave

作者： Jianqiu Qin Jin Li Yueguang Lu Sicheng Chen Kai-Dong Hong Tao Yuan Guangdong Provincial Mobile Terminal Microwave and Millimeter-Wave Antenna Engineering Research Center College of Electronics and Information Engineering Shenzhen University China Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication China State Key Laboratory of Millimeter Waves China

In this paper, a new class of monolithically integrated millimeter-wave quasi-planar cavity-backed patch antenna is proposed. The antenna is shaped in the cross-sectional profile of the backed cavity and an air-filled trapezoidal backed cavity is developed with flexible design in the height and inclination. The shaped air-filled trapezoidal backed cavity allows the antenna gain to be improved significantly and it is tailored for being additively manufactured. A $Ka$-band antenna prototype is devised, manufactured, and tested. The antenna prototype is manufactured monolithically by employing high-precision Polyjet 3-D printing process. The RF-measured result of the antenna shows reasonable directional radiation performance with a reflection coefficient of less than -10 dB from 26.9 to 31.7 GHz (a relative bandwidth of about 16.4%) and an in-band peak realized gain of 7.8 dBi.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Compact and Monolithically 3-D Printed Millimeter-Wave High-Gain Horn Antenna

A Compact and Monolithically 3-D Printed Millimeter-Wave Hig...

引用

Asia-Pacific Conference on Microwave

作者： Yueguang Lu Jin Li Jianqiu Qin Sicheng Chen Tao Yuan Guangdong Provincial Mobile Terminal Microwave and Millimeter-Wave Antenna Engineering Research Center Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication College of Electronics and Information Engineering Shenzhen University State Key Laboratory of Millimeter Waves China Shenzhen China

This paper presents a compact and monolithically integrated Ka-band high-gain horn antenna built with 1-to-16 waveguide power dividing networks. The horn antenna consists of a 2-way H-plane power divider, two 2-way E-plane power dividers, and four 4-way E-plane power dividers, forming an 8 × 2 radiation aperture array aiming to maximize the in-band realized gains with stringent size requirement. The constituent waveguide power dividers are shaped with exotic iris geometries, allowing for radiation of quasi-plane waves with wideband impedance matching and enhanced structural compatibility with 3-D printing technology. The antenna is manufactured mono-lithically by incorporating high-precision Polyjet 3-D printing and electroless copper/silver plating processes. The 3-D printed antenna demonstrates excellent radiation patterns in a – 15-dB impedance bandwidth from 26.5 to 30.5 GHz with in-band realized gains of 17.1–18.3 dBi.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Reparameterization Multifeature Fusion CNN for Arrhythmia Heartbeats Classification

引用

Computational and Mathematical Methods in Medicine 2022年第1期2022卷 7401175页

作者： Zhang, Dengyong Zhou, Haoting Li, Feng Zhang, Lebing Wang, Jianxin Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and Technology Changsha410114 China School of Computer and Communication Engineering Changsha University of Science and Technology Changsha410114 China Huaihua University Huaihua418000 China

Aiming at arrhythmia heartbeats classification, a novel multifeature fusion deep learning-based method is proposed. The stationary wavelet transforms (SWT) and RR interval features are firstly extracted. Based on the traditional one-dimensional convolutional neural network (1D-CNN), a parallel multibranch convolutional network is designed for training. The subband of SWT is input into the multiscale 1D-CNN separately. The output fused with RR interval features are fed to the fully connected layer for classification. To achieve the lightweight network while maintaining the powerful inference capability of the multibranch structure, the redundant branches of the network are removed by reparameterization. Experimental results and analysis show that it outperforms existing methods by many in arrhythmic heartbeat classification. © 2022 Dengyong Zhang et al.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

A 3-D-Printing-Compatible In-Line Polarization-Rotated Waveguide Filter Based on Shaped Spherical Resonators

A 3-D-Printing-Compatible In-Line Polarization-Rotated Waveg...

引用

Asia-Pacific Conference on Microwave

作者： Shuyao Yan Jin Li Yuhong Ye Sicheng Chen Zhihong Xu Tao Yuan Guangdong Provincial Mobile Terminal Microwave and Millimeter-Wave Antenna Engineering Research Center Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication College of Electronics and Information Engineering Shenzhen University State Key Laboratory of Millimeter Waves China Shenzhen China

This paper reports on a new design concept of millimeter-wave polarization-rotated waveguide filters taking advantage of high rotational symmetry of spherical and cylindrical cavities. The filter is based on geometrically shaped high-quality-factor spherical resonators that are coupled with cylindrical cavities in an in-line configuration. The polarization rotation is realized by step-rotating the shaped spherical resonators with appropriate angle intervals. The proposed filter features enhanced structural compatibility with additive manufacturing technology. Flexible design of arbitrary polarization rotation angles between 0° and 90° can be achieved without producing any distortion of the filter geometry. A $Ka$-band fifth-order bandpass filter prototype with a polarization rotation angle of 90° is designed and monolithically manufactured by employing metallic 3-D printing process. The 3-D printed filter demonstrates passband return and insertion losses of over 20 dB and lower than 0.8 dB, respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Monolithically 3-D Printed Waveguide Filter Based on Elliptic Cylindrical Resonators With Enhanced Polarization Rotation Flexibility

A Monolithically 3-D Printed Waveguide Filter Based on Ellip...

引用

Microwave, MTT-S International Symposium

作者： Yuhong Ye Jin Li Sicheng Chen Zhihong Xu Tao Yuan Guangdong Provincial Mobile Terminal Microwave and Millimeter-Wave Antenna Engineering Research Center College of Electronics and Information Engineering Shenzhen University China Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication China State Key Laboratory of Millimeter Waves China

This paper reports on a new class of waveguide filter with enhanced flexibility in the realization of polarization rotation functionality. The filter is based on elliptic cylindrical resonators (ECRs) that are configured with an in-line coupling topology using cylindrical coupling cavities. The polarization rotation functionality of the filter is enabled by rotating the ECRs along the axis of symmetry with appropriate angle intervals. Any polarization rotation angle between 0°–90° can be readily achieved without any distortion of the filter geometry. An X-band fourth-order filter prototype with a polarization rotation angle of 90° and a Chebyshev bandpass transfer function is designed and implemented. The filter is manufactured monolithically by incorporating Polyjet 3-D printing and electroless copper plating techniques. The 3-D printed filter demonstrates excellent RF performance with passband return loss and insertion loss of over 20 dB and averagely 0.4 dB, respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

T3: Multi-modal Tailless Triple-Flapping-Wing Robot for Efficient Aerial and Terrestrial Locomotion

arXiv

引用

arXiv 2025年

作者： Xu, Xiangyu Zheng, Zhi Wang, Jin Chen, Yikai Huang, Jingyang Wu, Ruixin Yu, Huan Lu, Guodong The State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou310058 China Zhejiang Key Laboratory of Industrial Big Data and Robot Intelligent Systems Zhejiang University Hangzhou310058 China Robotics Research Center of Yuyao City Ningbo315400 China College of Control Science and Engineering Zhejiang University Hangzhou310027 China

Flapping-wing robots offer great versatility;however, achieving efficient multi-modal locomotion remains challenging. This paper presents the design, modeling, and experimentation of T3, a novel tailless flapping-wing robot with three pairs of independently actuated wings. Inspired by juvenile water striders, T3 incorporates bio-inspired elastic passive legs that effectively transmit vibrations generated during wing flapping, enabling ground movement without additional motors. This novel mechanism facilitates efficient multi-modal locomotion while minimizing actuator usage, reducing complexity, and enhancing performance. An SE(3)-based controller ensures precise trajectory tracking and seamless mode transition. To validate T3’s effectiveness, we developed a fully functional prototype and conducted targeted modeling, real-world experiments, and benchmark comparisons. The results demonstrate the robot’s and controller’s outstanding performance, underscoring the potential of multi-modal flapping-wing technologies for future aerial-ground robotic applications. Copyright © 2025, The Authors. All rights reserved.

关键词： Antenna grounds

来源：评论

学校读者我要写书评

暂无评论

A 3-D-Printing-Compatible 90°-Bending and Polarization-Rotated Waveguide Filter Based on Capsule-Shape Resonators and Spherical Joints

A 3-D-Printing-Compatible 90°-Bending and Polarization-Rota...

引用

European Conference on Microwave

作者： Yuhong Ye Jin Li Sicheng Chen Tao Yuan Guangdong Provincial Mobile Terminal Microwave and Millimeter-Wave Antenna Engineering Research Center College of Electronics and Information Engineering Shenzhen University China Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication China State Key Laboratory of Millimeter Waves China

This paper presents a new class of bending and polarization-rotated waveguide filter with enhanced design flexibility and structural compatibility with additive manufacturing technology. The filter is based on capsule-shape cavity resonators that are coupled with spherical cavity joints. The resonators and coupling cavities are blessed with high rotational symmetry, allowing for flexible design of arbitrary bending and polarization rotation angles between $0^{\circ}-90^{\circ}$ without introducing any distortion of the filter geometry. A $K a$-band fourth-order waveguide filter prototype with bending and polarization rotation angles of 90° and a Cheby-shev bandpass transfer function is designed and implemented. The filter is manufactured monolithically by incorporating high-precision Polyjet 3-D printing and electroless copper plating processes. The RF-measured result of the 3-D printed filter shows a return loss of over $16 \mathrm{~dB}$, an average insertion loss of $1.8 \mathrm{~dB}$, and a small frequency shift of $0.12 \%$ in the passband.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Experimentally Study on the Effect of RIE Etching Power on Etching Rate of $\beta-\text{Ga}_{2}\mathrm{O}_{3}$ Thin Film

Experimentally Study on the Effect of RIE Etching Power on E...

引用

Joint e-Manufacturing and Design Collaboration Symposium (eMDC) & International Symposium on Semiconductor Manufacturing (ISSM)

作者： Wang Xu Ran Jing Yang Yang Lai Yang Fa shun Ma Kui College of Big Data and Information Engineering Guizhou University Guizhou Provincial Key Laboratory of Micro and nano Electronics and Software Technology Guiyang City Guizhou Province

ISBN: (纸本)9781665471343

As a member of ultra-wide band gap semiconductor materials, $\beta-\text{Ga}_{2}\mathrm{O}_{3}$ materials have attracted wide attention from researchers in the semiconductor field in recent years. Etching process is crucial to realize semiconductor devices and integrated circuits based on $\beta-\text{Ga}_{2}\mathrm{O}_{3}$ materials. Based on the reaction ion etching process commonly used in silicon-based semiconductor technology, the etching experiment research of $\beta-\text{Ga}_{2}\mathrm{O}_{3}$ thin film is carried out. The $\beta-\text{Ga}_{2}\mathrm{O}_{3}\text{film}$ is etched with SF6, based on the induction coupled reaction ion etching. The effect of RIE etching power, excitation power and bias power, on etching rate of $\beta-\text{Ga}_{2}\mathrm{O}_{3}$ thin film has been studied. SEM characterization results show that the etching rate is the highest at 600W excitation power. The etching rate increases with the increase of bias power. The etching rate at 200W bias power is slightly higher than that at 150W bias power. However, the photoresist used as the etch mask will be damaged at 200W bias power.

关键词： Integrated circuits Photonic band gap Semiconductor materials Semiconductor devices Sulfur hexafluoride Resists Semiconductor device manufacture

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：