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A Novel Wideband CPW-Fed 5.8GHz RFID Tag Antenna

Chinese Journal of Electronics 2023年第2期21卷 202-208页

作者： Huihui Li Xuanqin Mou Zhen Ji Hang Yu Yan Li Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an China College of Computer Science and Software Engineering Shenzhen University Shenzhen China Shenzhen Key Laboratory of Embedded System Design Shenzhen China

A novel wideband 5.8GHz CPW-fed antenna is presented for Radio frequency identification (RFID) tag. Four U-shaped and four L-shaped branches are used as additional resonators to achieve wideband operation. The proposed antenna was analyzed numerically using the Method of moment (MOM) and the Finite element method (FEM). With the antenna size limited to $30\times 30 \text{mm}^{2}$ , the −10dB bandwidth obtained by MOM is 3.235GHz (5.765∼9GHz) and the −9.5dB band-width obtained by FEM is 2.74GHz (5.32∼8.06GHz), corresponding to 55.7% and 47.2% of the center frequency 5.8GHz respectively. Moreover, the simulated results show that the proposed antenna has gain of more than 4.8dBi and the radiation pattern is nearly omnidirectional in the H-plane. The measured −10dB bandwidth is 2.68GHz (5.63GHz∼8.31GHz), 46.2% of the 5.8GHz frequency. Furthermore, there are three measured resonant frequencies at 1.34GHz, 3.23GHz and 5.8GHz with lower than −10dB return loss respectively. The measurement result achieves a wideband RFID tag antenna performance and is in good agreement with the calculated results.

关键词： Antenna measurements Resonant frequency Loss measurement Frequency measurement Finite element analysis Broadband antennas RFID tags

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E2DAS: An Efficient Equivariant Dynamic Aggregation Saliency Model for Omnidirectional images 27th

E2DAS: An Efficient Equivariant Dynamic Aggregation Saliency...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Zhang, Nana Liu, Qian Zhu, Dandan Zhu, Kun Zhai, Guangtao Yang, Xiaokang School of Computer Science and Technology Donghua University No.2999 Renmin North Road Songjiang District Shanghai201620 China Institute of AI Education Shanghai East China Normal University No.3663 Zhongshan North Road Putuo District Shanghai200333 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University No.4800 Cao’an Highway Jiading District Shanghai201804 China Institute of Image Communication and Network Engineering Shanghai Jiao Tong University No. 800 Dongchuan Road Minhang District Shanghai200240 China

ISBN: (纸本)9783031781216

Recent years have witnessed rapid progress of convolutional neural networks (CNNs) and their successful application in the task of saliency prediction for omnidirectional images (ODIs). Albeit achieving tremendous performance improvements, these CNNs-based saliency models are plagued by two major shortcomings: spatial content-agnostic and computationally intensive. Inspired by the effectiveness of equivariant network in the majority of computer vision tasks, we propose a novel efficient equivariant dynamic aggregation saliency (E2DAS) model to efficiently tackle the issue of human fixation prediction in ODIs. To be specific, our proposed model consists of an efficient equivariant module, a dynamic convolutional aggregation module, and an optimization computation module. Different from existing saliency models for ODIs, we are the first attempt to introduce an efficient equivariant dynamic convolutional aggregation operation into the saliency prediction task, which can fundamentally alleviate the projection distortion problem and can effectively learn spatial content-adaptive features. Moreover, we clearly observe a considerable decrease in the number of parameters resulting from the replacement of standard convolution with dynamic convolution aggregation. Extensive experiments on several benchmark datasets show the proposed model’s superiority over other state-of-the-art methods in terms of performance. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Equivariant dynamic aggregation light-weight model omnidirectional images saliency prediction spatial content-adaptive

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TDiffSal: Text-Guided Diffusion Saliency Prediction Model for images 27th

TDiffSal: Text-Guided Diffusion Saliency Prediction Model fo...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Zhang, Nana Xiong, Min Zhu, Dandan Zhu, Kun Zhai, Guangtao School of Computer Science and Technology Donghua University No. 2999 Renmin North Road Songjiang District Shanghai201620 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing210093 China Institute of AI Education Shanghai East China Normal University No. 3663 Zhongshan North Road Putuo District Shanghai200333 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University No. 4800 Cao’an Highway Jiading District Shanghai201804 China Institute of Image Communication and Network Engineering Shanghai Jiao Tong University No. 800 Dongchuan Road Minhang District Shanghai200240 China

ISBN: (纸本)9783031781858

Existing visual saliency prediction methods mainly focus on single-modal visual saliency prediction, while ignoring the significant impact of text on visual saliency. To more comprehensively explore the influence of text on human attention in images, we propose a text-guided diffusion saliency prediction model, named TDiffSal. In specific, recent studies on stable diffusion models have shown promising performance in unifying tasks due to their inherent generalization ability. Inspired by this, a novel diffusion model for generalized visual-text saliency prediction is proposed, which formulates the prediction issue as a conditional generative task of the saliency map by employing input visual and text as the conditions. Meanwhile, we introduce a multi-head fusion module to effectively integrate text features and image features, which can efficiently guide the image denoising process and progressively refine the generated saliency map to make it semantically relevant to the text. Additionally, we employ an efficient pre-training strategy to enhance the robustness and generalization of the proposed model. We conduct extensive experiments on benchmark datasets to demonstrate its superior performance compared to other state-of-the-art methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Prediction models

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Automatic landing for fixed-wing UAV using stereo vision with a single camera and an orientation sensor: A concept

Automatic landing for fixed-wing UAV using stereo vision wit...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Montika Sereewattana Miti Ruchanurucks Panjawee Rakprayoon Supakorn Siddhichai Shoichi Hasegawa ICT for Embedded System Kasetsart University Bangkok Thailand Department of Electrical Engineering Kasetsart University Bangkok Thailand Image Processing Laboratory National Electronics and Computer Technology Center Pathumthani Thailand Precision and Intelligence Laboratory Tokyo Institute of Technology Yokohama Japan

This paper presents concepts and some experiment on UAV automatic landing on any flat area without prior knowledge of (detachable) markers' positions. The process consists of two key notions. First, the UAV approximates 3D positions of four color markers using a single camera stereoscopic scheme. In other words, the aircraft flies and captures images of ground to create depth map of the four markers. Second, it relies on a pose estimation algorithm (here, Homography) to approximate rotational and, especially, translational information between air to ground. What is novel in this concept is z-coordinate of markers on ground can always be normalized based on our kinematic chain. Thus, homography can be used. Additionally, depth estimation using stereo vision with a camera is shown in experimental result. Furthermore, the whole process is also possible without GPS data, which might post problem in some certain situations, e.g. inadequate positioning accuracy for small landing area, or unreliability during warfare.

关键词： Cameras Global Positioning System Aircraft image color analysis Calibration Transmission line matrix methods Three-dimensional displays

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A Novel Wideband CPW-Fed 5.8GHz RFID Tag Antenna

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电子学报(英文版) 2012年第2期21卷 202-208页

作者： LI Huihui MOU Xuanqin JI Zhen YU Hang LI Yan Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an 710049 China College of Computer Science and Software Engineering Shenzhen University Shenzhen 518060 China Shenzhen Key Laboratory of Embedded System Design Shenzhen 518060 China

A novel wideband 5.8GHz CPW-fed an- tenna is presented for Radio frequency identification (RFID) tag. Four U-shaped and four L-shaped branches are used as additional resonators to achieve wideband operation. The proposed antenna was analyzed numeri- cally using the Method of moment (MOM) and the Fi- nite element method (FEM). With the antenna size lim- ited to 30 × 30mm2, the ?10dB bandwidth obtained by MOM is 3.235GHz (5.765～9GHz) and the ?9.5dB band- width obtained by FEM is 2.74GHz (5.32～8.06GHz), cor- responding to 55.7% and 47.2% of the center frequency 5.8GHz respectively. Moreover, the simulated results show that the proposed antenna has gain of more than 4.8dBi and the radiation pattern is nearly omnidirectional in the H-plane. The measured ?10dB bandwidth is 2.68GHz (5.63GHz～8.31GHz), 46.2% of the 5.8GHz frequency. Fur- thermore, there are three measured resonant frequencies at 1.34GHz, 3.23GHz and 5.8GHz with lower than ?10dB return loss respectively. The measurement result achieves a wideband RFID tag antenna performance and is in good agreement with the calculated results.

关键词： RFID标签天线尺寸共面波导宽带无线电频率识别有限元分析网络连接数值分析

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A new universal-environment adaptive multiprocessor scheduler for autonomous cyber-physical system

A new universal-environment adaptive multiprocessor schedule...

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2012 IEEE/ACIS 11th International Conference on computer and Information Science, ICIS 2012

作者： Zhang, Kailong Yao, Yuan Lu, Zhou Wu, Xiao Labanni, Ouassila School of Computer Northwestern Polytechnical University Xi'an China Laboratory of Electron Information and Image University of Burgundy Dijon France Shaanxi Key Laboratory of Embedded System Technology Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9780769546940

Robot, spaceship and other applications that can be called autonomous Cyber-Physical Systems (CPS) are all smart embedded systems, which usually run in open environment by themselves with inhered intelligent capabilities. Besides the application intelligence, the researches of adaptive platform for such systems have also become topics recently. Based on the analysis of current work, a new environment adaptive scheduler (α-S) for multiprocessor platform of a cyber-physical system is proposed in this article. And then, its related structures, models, and reasoning methods are studied deeply. Different from the existing ones, α-S can schedule all tasks according to the environment change by two layered functions. The upper one uses not only the properties of a task but also the state of environment and system resources as input variables, which is defined as Universal Environment (UE), and then calculates the Quality of Scheduling of all tasks with a customized fuzzy logic. The lower one allocates these tasks onto processors automatically under the dynamic performance evaluation of computing resources, such as load and success rate of each processor. Further, some allocation policies are studied and defined to make α-S be more flexible to adapt different requirements. Finally, studied methods are simulated and then experimented on an obstacle-avoiding robot system. © 2012 IEEE.

关键词： Fuzzy logic

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Planar surface area calculation using camera and orientation sensor

Planar surface area calculation using camera and orientation...

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2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER 2012

作者： Sutiworwan, Surangrak Ruchanurucks, Miti Apiroop, Pongthorn Siddhichai, Supakorn Chanwimaluang, Thitiporn Sato, Makoto ICT for Embedded System Faculty of Engineering Kasetsart University Thailand Huawei Technologies Co. Ltd. Thailand Image Processing Laboratory National Electronics and Computer Technology Center Pathumthani Thailand Precision and Intelligence Laboratory Department of Information Processing Tokyo Institute of Technology Tokyo Japan

ISBN: (纸本)9781467314213

This research proposes a scheme of area calculation system, focusing on image warping to top view. The sensor attached to camera is used to compensate the camera's orientation in real time. One constraint is that the calculated area is planar surface. In practice, the alignment of sensor and camera is imperfect. This error makes the calculated area size inaccurate. Therefore, calibration between camera and sensor is required by using Iterative Least Square method. Then, the extrinsic parameters derived from calibrated sensor and pre-computed intrinsic parameter will be used to generate a homography matrix. In top view image, we can directly count the number of target pixel. Finally, we will also find the relationship between rotation angle and size of each pixel in real-world unit with calculating percentage accuracy of this method. The experimental results show top view target area size generated from the tilted camera using information from the orientation sensor in real time. © 2012 IEEE.

关键词： Cameras

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Planar surface area calculation using camera and orientation sensor

Planar surface area calculation using camera and orientation...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Surangrak Sutiworwan Miti Ruchanurucks Pongthorn Apiroop Supakorn Siddhichai Thitiporn Chanwimaluang Makoto Sato ICT for Embedded System Faculty of Engineering Kasetsart University Thailand Huawei Technologies Company Limited Thailand Image Processing Laboratory National Electronics and Computer Technology Center Pathum Thani Thailand Precision and Intelligence Laboratory Department of Information Processing Tokyo Institute of Technology Tokyo Japan

关键词： Cameras Calibration Accuracy Real-time systems Conferences Agriculture Equations

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3D Optical Measurement of curved edges

3D Optical Measurement of curved edges

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Optical Measurement Systems for Industrial Inspection V

作者： Naudet-Collette, S. Gaspard, F. Martinsson, H. Dekeyser, F. CEA LIST Image and Embedded Computer Laboratory Gif-sur-Yvette F-91191 France

ISBN: (纸本)0819467588

This paper presents a new photogrammetric approach to automatically reconstruct and measure the imprecision or deformations of metallic parts composed of curved edges. This approach uses images provided by a CCD camera moving around the part. The main purpose of the approach is to reconstruct curved edges automatically and accurately. For that, the solution uses data from the computer aided design model (CAD) and information extracted from the images. Experimental results on several parts present the precision and robustness of the process. They show that the proposed approach has a promising potential in automatic 3D control of industrial parts.

关键词： Optical engineering

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Real Time Localization and 3D Reconstruction

Real Time Localization and 3D Reconstruction

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： E. Mouragnon M. Lhuillier M. Dhome F. Dekeyser P. Sayd Image and embedded computer Laboratory CEA/LIST/DTSI/SARC Gif-sur-Yvette France LASMEA UMR 6602 CNRS Université Blaise Pascal Aubiere France

In this paper we describe a method that estimates the motion of a calibrated camera (settled on an experimental vehicle) and the tridimensional geometry of the environment. The only data used is a video input. In fact, interest points are tracked and matched between frames at video rate. Robust estimates of the camera motion are computed in real-time, key-frames are selected and permit the features 3D reconstruction. The algorithm is particularly appropriate to the reconstruction of long images sequences thanks to the introduction of a fast and local bundle adjustment method that ensures both good accuracy and consistency of the estimated camera poses along the sequence. It also largely reduces computational complexity compared to a global bundle adjustment. Experiments on real data were carried out to evaluate speed and robustness of the method for a sequence of about one kilometer long. Results are also compared to the ground truth measured with a differential GPS.

关键词： Cameras image reconstruction Robustness Robot vision systems Motion estimation Computational geometry Layout Optimization methods Simultaneous localization and mapping Iterative algorithms

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