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Compact ultra-wideband MIMO antenna with double notch 8

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Compact ultra-wideband MIMO antenna with double notch

8th Asia-Pacific Conference on Antennas and Propagation, APCAP 2019

作者： Wang, Kang Sun, Yufa Anhui University Key Lab of Intelligent Computing Signal Processing Ministry of Education Hefei230601 China

ISBN: (纸本)9781665400541

In this paper, a compact multiple-input multiple-output (MIMO) antenna with two notches for wireless UWB applications is presented. The size of the proposed antenna is small, only 20 × 20 mm2. The radiating element of the antenna is a rectangular patch with a chamfered corner, and the inverted U-shaped slit on the patch is used to create the notches at wireless local area network and the downlink X-band of satellite communication. The isolation of more than 15 dB is achieved over the entire working frequency band (3.04-12.36 GHz). © 2019 IEEE.

关键词： Microwave antennas

Disentangled Generation Network for Enlarged License Plate Recognition and A Unified Dataset

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arXiv 2022年

作者： Li, Chenglong Yang, Xiaobin Wang, Guohao Zheng, Aihua Tan, Chang Jia, Ruoran Tang, Jin Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Artificial Intelligence Anhui University Hefei230601 China Information Materials and Intelligent Sensing Laboratory of Anhui Province Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China iFLYTEK Co. Ltd. Hefei230088 China

License plate recognition plays a critical role in many practical applications, but license plates of large vehicles are difficult to be recognized due to the factors of low resolution, contamination, low illumination, and occlusion, to name a few. To overcome the above factors, the transportation management department generally introduces the enlarged license plate behind the rear of a vehicle. However, enlarged license plates have high diversity as they are non-standard in position, size, and style. Furthermore, the background regions contain a variety of noisy information which greatly disturbs the recognition of license plate characters. Existing works have not studied this challenging problem. In this work, we first address the enlarged license plate recognition problem and contribute a dataset containing 9342 images, which cover most of the challenges of real scenes. However, the created data are still insufficient to train deep methods of enlarged license plate recognition, and building large-scale training data is very time-consuming and high labor cost. To handle this problem, we propose a novel task-level disentanglement generation framework based on the Disentangled Generation Network (DGNet), which disentangles the generation into the text generation and background generation in an end-to-end manner to effectively ensure diversity and integrity, for robust enlarged license plate recognition. Extensive experiments on the created dataset are conducted, and we demonstrate the effectiveness of the proposed approach in three representative text recognition frameworks. © 2022, CC BY.

关键词： Optical character recognition

Gaussian-Hermite Moment Invariants of General Multi-Channel Functions

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arXiv 2022年

作者： Mo, Hanlin Li, Hua Zhao, Guoying The Center for Machine Vision and Signal Analysis University of Oulu OuluFI-90014 Finland The Key lab of Intelligent Information Processing The Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China The School of Information and Technology Northwest University Xi'An710069 China

With the development of data acquisition technology, large amounts of multi-channel data are collected and widely used in many fields. Most of them, such as RGB images and vector fields, can be expressed as different types of multi-channel functions. Feature extraction of multi-channel data for identifying interest patterns is a critical but challenging task. This paper focuses on constructing moment-based features of general multi-channel functions. Specifically, we define two transform models, rotation-affine transform and total rotation transform, to describe real deformations of multi-channel data. Then, we design a structural framework to generate Gaussian-Hermite moment invariants for these two transform models systematically. It is the first time that a unified framework has been proposed in the literature to construct orthogonal moment invariants of general multi-channel functions. Given a specific type of multi-channel data, we demonstrate how to utilize the new method to derive all possible invariants and eliminate dependences among them. We obtain independent sets of invariants with low orders and low degrees for RGB images, 2D vector fields and color volume data. Based on synthetic and real multi-channel data, we conduct extensive experiments to evaluate the stability and discriminability of these invariants and their robustness to noise. The results show that new moment invariants significantly outperform previous moment invariants of multi-channel data in RGB image classification and vortex detection in 2D vector fields. Copyright © 2022, The Authors. All rights reserved.

关键词： Image classification

A CPW-Fed Miniaturized Dual-Band Antenna for 5G Applications

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A CPW-Fed Miniaturized Dual-Band Antenna for 5G Applications

International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO)

作者： Xuemei Li Haoran Zhu Zhixiang Huang Key Lab of Intelligent Computing & Signal Processing Ministry of Education AnHui University AnHui University Heifei China

ISBN: (数字)9781728169668

ISBN: (纸本)9781728169675

This paper designs a CPW-fed single-fed single- layer dual-frequency antenna for 5G applications. The overall size of the antenna is only 23×30.5×0.254mm 3 . The antenna consists of an improved folded rectangular slot, a Y-shaped monopole radiator fed by a coplanar waveguide (CPW) with cross-notched slots, and a curved sub-ring slot for isolating frequency bands. The dual frequency characteristics are realized by deformed folded rectangular grooves and Y-shaped monopoles with split ring grooves and cross grooves. By adjusting the position and size of these structures separately, two working frequency bands can be realized. Reduce the size of the antenna by folding the rectangular ground slot to increase the surface current (6.92 λ 0 × 9.17 λ 0 × 0.08 λ 0 ). The simulation results show that the working bandwidth of the antenna is 2.82- 3.84Ghz (31.58%) and 4.48-5.53Ghz (25.68%) respectively. It not only covers 5G bands 3.4-3.8Ghz and 4.8-5.0Ghz, but also covers up to part of the working frequency band of WLAN and WiMAX. The antenna has a good omnidirectional radiation pattern. The antenna is small in size, easy to integrate, and is well-suited to 5G wireless communication equipment.

关键词： Slot antennas 5G mobile communication Dual band Bandwidth Numerical models Coplanar waveguides Antenna radiation patterns

A Broadband Circular Polarization Antenna Applied For Base-Station

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A Broadband Circular Polarization Antenna Applied For Base-S...

International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO)

作者： Xiangkui Hu Haoran Zhu Xianliang Wu Zhixiang Huang Bo Wu Key Lab of Intelligent Computing & Signal Processing Ministry of Education AnHui University AnHui University Heifei China

ISBN: (数字)9781728169668

ISBN: (纸本)9781728169675

This paper studies the broadband circularly polarized antenna used in micro base stations. The antenna consists of a pair of rectangular loops. The ring patch is used to form circular polarization, and a pair of open resonant ring parasitic elements are loaded between the two rectangular rings to increase the bandwidth. By introducing balun feed to increase bandwidth, good impedance matching can be obtained. Add a metal reflector at the bottom of the antenna to form directional radiation. The antenna was printed on the Rogers RO4003 substrate, and the results showed that the -10dB return loss bandwidth was 43.4% (1.86-2.89GHz), and the -3dB axial ratio bandwidth was 41% (1.9-3GHz). The gain of the antenna in the frequency band is greater than 9dBi.

关键词： Polarization Bandwidth Broadband communication Broadband antennas Loaded antennas Substrates Antenna radiation patterns

Author classification using transfer learning and predicting stars in co-author networks

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Author classification using transfer learning and predicting...

作者： Abbasi, Rashid Kashif Bashir, Ali Chen, Jianwen Mateen, Abdul Piran, Jalil Amin, Farhan Luo, Bin School of Information and Communication Engineering University of Electronics Science and Technology of China Chengdu China Department of Computing and Mathematics Manchester Metropolitan University Manchester United Kingdom Department of Computer Science Federal Urdu University of Arts Science and Technology Islamabad Pakistan Computer Engineering Department Sejong University Yeungnam Korea Republic of Department of Information and Communication engineering Yeungnam University Yeungnam Korea Republic of Key Lab of Intelligent Computing and Signal Processing of MOE & School of Computer and Technology Anhui University China

The vast amount of data is key challenge to mine a new scholar that is plausible to be star in the upcoming period. The enormous amount of unstructured data raise every year is infeasible for traditional learning;consequently, we need a high quality of preprocessing technique to expand the performance of traditional learning. We have persuaded a novel approach, Authors classification algorithm using Transfer Learning (ACTL) to learn new task on target area to mine the external knowledge from the source domain. Comprehensive experimental outcomes on real-world networks showed that ACTL, Node-based Influence Predicting Stars, Corresponding Authors Mutual Influence based on Predicting Stars, and Specific Topic Domain-based Predicting Stars enhanced the node classification accuracy as well as predicting rising stars to compared with contemporary baseline methods. © 2020 John Wiley & Sons Ltd

关键词： Stars

Hand Hygiene Assessment via Joint Step Segmentation and key Action Scorer

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arXiv 2022年

作者： Li, Chenglong Zhu, Qiwen Liu, Tubiao Tang, Jin Su, Yu Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Artificial Intelligence Anhui University Hefei230601 China Information Materials and Intelligent Sensing Laboratory of Anhui Province Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei230601 China Hefei Normal University Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei230061 China

Hand hygiene is a standard six-step hand-washing action proposed by the World Health Organization (WHO). However, there is no good way to supervise medical staff to do hand hygiene, which brings the potential risk of disease spread. Existing action assessment works usually make an overall quality prediction on an entire video. However, the internal structures of hand hygiene action are important in hand hygiene assessment. Therefore, we propose a novel fine-grained learning framework to perform step segmentation and key action scorer in a joint manner for accurate hand hygiene assessment. Existing temporal segmentation methods usually employ multi-stage convolutional network to improve the segmentation robustness, but easily lead to over-segmentation due to the lack of the long-range dependence. To address this issue, we design a multi-stage convolution-transformer network for step segmentation. Based on the observation that each hand-washing step involves several key actions which determine the hand-washing quality, we design a set of key action scorers to evaluate the quality of key actions in each step. In addition, there lacks a unified dataset in hand hygiene assessment. Therefore, under the supervision of medical staff, we contribute a video dataset that contains 300 video sequences with fine-grained annotations. Extensive experiments on the dataset suggest that our method well assesses hand hygiene videos and achieves outstanding performance. Copyright © 2022, The Authors. All rights reserved.

关键词： Convolution

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14th International Conference on Bio-inspired computing: Theories and Applications, BIC-TA 2019

作者： Sun, Dengdi Sun, Haifeng Wu, Hang Liang, Huadong Ding, Zhuanlian Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230601 China iFlytek Co. Ltd. Hefei230088 China School of Internet Anhui University Hefei230039 China

ISBN: (纸本)9789811534140

Determining the functional roles of proteins is a vital task to understand life at molecular level and has great biomedical and pharmaceutical implications. With the development of novel high-throughput techniques, enormous amounts of protein-protein interaction (PPI) data are collected and provide an important and feasible way for studying protein function predictions. According to this, many approaches assign biological functions to all proteins using PPI networks directly. However, due to the extreme complexity of the topology structure of real PPI networks, it is very difficult and time consuming to seek the global optimization or clustering on the networks. In addition, biological functions are often highly correlated, which makes functions assigned to proteins are not independent. To address these challenges, in this paper we propose a two-stage function annotation method with robust feature selection. First, we transform the network into the low-dimensional representations of nodes via manifold learning. Then, we integrate the functional correlation into the framework of multi-label linear regression, and introduce robust sparse penalty to achieve the function assignment and representative feature selection simultaneously. For the optimization, we design an efficient algorithm to iteratively solve several subproblems with closed-form solutions. Extensive experiments against other baseline methods on Saccharomyces cerevisiae data demonstrate the effectiveness of the proposed approach. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Proteins

On the structure of 1-generator quasi-polycyclic codes over finite chain rings

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arXiv 2021年

作者： Wu, Rongsheng Shi, Minjia Solé, Patrick Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Mathematical Sciences Anhui University Hefei230601 China Lab I2M CNRS Aix-Marseille University Centrale Marseille Marseille France

Quasi-polycyclic (QP for short) codes over a finite chain ring R are a generalization of quasi-cyclic codes, and these codes can be viewed as an R[x]-submodule of Rm, where Rm := R[x]/hfi, and f is a monic polynomial of degree m over R. If f factors uniquely into monic and coprime basic irreducibles, then their algebraic structure allow us to characterize the generator polynomials and the minimal generating sets of 1-generator QP codes as R-modules. In addition, we also determine the parity check polynomials for these codes by using the strong Gröbner bases. In particular, via Magma system, some quaternary codes with new parameters are derived from these 1-generator QP codes. © 2021, CC0.

关键词： Polynomials