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Advancement in Electronics & Communication engineering (AECE), International Conference on

作者： Murali Narayanan R G Ramkumar Anitha G Department of Automation and Robotics Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai

ISBN: (数字)9798350364729

ISBN: (纸本)9798350364736

The coplanar waveguide (CPW) feeding method is used in this work to develop a microstrip antenna with better performance metrics appropriate for present day communication applications. The design incorporates a dual-ground plane arrangement, whereby the substrate is positioned beneath the first ground plane, and the patch dimensions are exactly aligned with the second ground plane, which is positioned above the substrate. 35.011 mm × 22 mm × 1 mm 3 are the total antenna dimensions. The radiating patch, which measures 18.03 × 19.18 mm 2 , is positioned above the second substrate, while the feed line is below the first. A thorough parametric study was carried out, concentrating on a number of crucial dimensions, in order to maximize the antenna's performance. In order to attain the intended results, the design parameters were refined through this iterative approach. With an outstanding impedance match of 49.98 ohms and a remarkable gain value of 5.8 dBi, the completed antenna design provided effective signal transmission and reception. Because it operates in the 5 GHz frequency range, the antenna can be used for a variety of purposes. These comprise wireless networks, industrial automation systems, radar systems, point-to-point communication links, and some medical imaging equipment. A variety of high-frequency applications find the antenna desirable because to its inclusion of the CPW feeding method, which improves the antenna's gain and impedance matching while also streamlining the fabrication process.

关键词： Radio frequency Wireless networks Microstrip antennas Streaming media Radar imaging Antenna feeds Coplanar waveguides Microstrip Impedance Substrates

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A Self-organized Coverage Algorithm for UAV Swarms based on Color Information Recognition

A Self-organized Coverage Algorithm for UAV Swarms based on ...

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Artificial Intelligence and Intelligent Manufacturing (AIIM), International Symposium on

作者： Tao Liu Xiao Zhang Junfu Zhang Shiqi Jiang School of Mechanical Engineering Xi Hua University Chengdu China School of Automation International Joint Institute of Robotics and Intelligent System Chengdu University of Information Technology Chengdu China

ISBN: (数字)9798331541729

ISBN: (纸本)9798331541736

This paper proposes a self-organized coverage method for unmanned aerial vehicle (UAV) swarm aimed at multi-area coverage. The proposed method attempts to take the color light emitted from the UVA as an important state information. The virtual forces and the color state are incorporated to develop the self-organized coverage algorithm, so that the communication dependency among UAV swarm has been weakened. Simulation experiments show that under the condition of weak communication, the algorithm effectively achieves coverage of multiple areas. Moreover, when part of UAVs in the swarm are damaged or fails, the swarm based on the proposed algorithm can achieve self-organized recovery and continue to complete the task.

关键词： Uncertainty Color Autonomous aerial vehicles Trajectory Manufacturing Artificial intelligence

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A Distributed Task Allocation Algorithm for UAV Swarm Based on Local Information

A Distributed Task Allocation Algorithm for UAV Swarm Based ...

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Artificial Intelligence and Intelligent Manufacturing (AIIM), International Symposium on

作者： Junfu Zhang Chengjin Liu Tao Liu Shiqi Jiang School of Mechanical Engineering Xi Hua University Chengdu China School of Automation International Joint Institute of Robotics and Intelligent System Chengdu University of Information Technology Chengdu China

ISBN: (数字)9798331541729

ISBN: (纸本)9798331541736

This article proposes a distributed task allocation algorithm based on local information for unmanned aerial vehicle (UAV) swarm. A Part of the UAVs which are in the information exchange range participate in the local range auction. The auction members will change due to the movement of the UAVs in the following auctions. Each UAV in the swarm will be allocated a task by multiple rounds of local range auctions. The experimental data clearly demonstrate that the method has superior performance for enabling UAV swarm to complete the allocation of tasks based on local information.

关键词： Autonomous aerial vehicles Sensors Manufacturing Resource management Distributed algorithms Artificial intelligence Information exchange Convergence

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Enhanced RF Characteristics of Frequency Reconfigurable Microstrip Patch Antenna using Aperture-Coupled Feeding at 5 GHz

Enhanced RF Characteristics of Frequency Reconfigurable Micr...

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Innovation in Technology (ASIANCON), Asian Conference on

作者： Murali Narayanan R G. Ramkumar Anitha G Department of Automation and Robotics Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai

ISBN: (数字)9798350354218

ISBN: (纸本)9798350354225

This work presents a novel antenna design that makes use of the aperture coupled feeding technique. By carefully arranging them in different layers, the antenna patch and feed line maximize performance through efficient energy coupling. The antenna is 40 x 22 x 1.01 mm 3 overall. The patch, measuring 17.85 x 16 mm 2 , is placed on atop the second substrate, and the feed line is positioned underneath the first substrate. To improve the antenna's RF properties and optimize its size, a thorough parametric study was carried out. Important factors, such as the height of the second patch and the breadth and length of the patch and substrates, were the focus of this iterative optimization process. The ultimate design therefore demonstrated its efficacy in directed radiation with a gain value of 5.4 dBi. The antenna is appropriate for point-to-point communication, Wi-Fi systems, radar systems, medical imaging equipment, and industrial automation systems. It runs at a frequency of 5 GHz. The design has the potential for high-performance applications in various sectors because of its enhanced RF performance and adaptability.

关键词： Radio frequency Technological innovation Patch antennas Apertures Radar imaging Position measurement Radar antennas Radar equipment Substrates Wireless fidelity

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Research on Server Fault Diagnosis Based on Expert System 10th

Research on Server Fault Diagnosis Based on Expert System

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10th International Workshop of Advanced Manufacturing and automation, IWAMA 2020

作者： Zhou, Chuanhong Guo, Daohao Zhang, Chong School of Mechatronic Engineering and Automation Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai China

ISBN: (纸本)9789813363175

With the rapid development of network technology, computer resources, including server resources, have shown a trend of high concentration, multiple devices, and multiple types. As a result, various types of server failures occur frequently, not only for basic monitoring software monitoring services. It puts forward higher requirements and has higher strength in the timeliness and accuracy of sending alarm information. Therefore, it is necessary to converge and analyze the alarm information and give expert-level solutions to the fault information. This article first designed the monitoring and alarm module using the flask framework to enable it to receive alarm information uniformly, converge and merge the alarm information, and use the Vue framework to display the alarm information on the page. Then, use the Python PyCLIPS library based on CLIPS to build the inference engine of the server fault diagnosis expert system. Finally use the "production rules" expert system knowledge expression to complete the construction of the knowledge base. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Failure analysis

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Research on the Location of Citrus Based on RGB-D Binocular Camera 5

Research on the Location of Citrus Based on RGB-D Binocular ...

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5th IEEE Advanced Information Technology, Electronic and automation Control Conference, IAEAC 2021

作者： Hu, Xiaomei Wu, Jun Yu, Hefang Lv, Shunke Wang, Chuan Shanghai University School of Mechatronic Engineering and Automation Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai China

ISBN: (纸本)9781728180281

Using robots instead of picking fruits by hand is a trend of scientific and technological ***,the picking robot needs to solve the problem of identifying and locating the fruit, which determines the final success rate of picking. According to the growth characteristics of citrus, a citrus recognition method based on RGB-D binocular camera was proposed in this paper. Backproject and template matching were used to obtain the citrus position area. Then, the influence of noise, illumination and shade of branches and leaves was eliminated by morphological operation and convex hull ***,the coordinates of 2-D center point were obtained by elliptic fitting and moment calculation. In order to obtain the effective depth information of citrus,a depth image cavity repair algorithm based on improved bilateral filtering was proposed to calculate the more accurate 3-D coordinates of citrus picking points. Finally, the 3-D picking point coordinates in camera coordinate system are converted into manipulator coordinate system by the 9-point calibration method. The identification and picking success rate of the proposed method is more than 90% in laboratory environment. © 2021 IEEE.

关键词： Image enhancement

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ECH: An Enhanced Cart Histogram for place recognition

ECH: An Enhanced Cart Histogram for place recognition

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IEEE International Conference on robotics and Biomimetics

作者： Pengming Liu Sheng Bao Liang Du Jianjun Yuan Hongkai Zhang RuiQing Luo Shanghai Key Laboratory of Intelligent Manufacturing and Robotics School of Mechatronic Engineering and Automation Shanghai University Shanghai China Shanghai Robotics Institute Shanghai University Shanghai China

Place recognition is a crucial technique for mitigating accumulated errors in simultaneous localization and mapping (SLAM). However, this remains an immensely challenging task. Existing place recognition algorithms are susceptible to failure during translation or rotation changes, lacking both translation and rotation invariance simultaneously. In this paper, we adopt and enhance the global descriptor by incorporating principal component analysis (PCA) to align the current keyframe with the query keyframe to a consistent azimuth angle. Furthermore, to ensure algorithm speed, our method is primarily based on non-ground points, and we propose a novel iterative-based fast non-ground point extraction method. We extensively compare our proposed algorithm with other state-of-the-art algorithms (Scan Context, Intensity Scan Context, STD). All experimental results demonstrate that our proposed algorithm achieves higher precision and recall rates in loop closure detection.

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Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection

arXiv

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arXiv 2024年

作者： Jiang, Weibo Ren, Weihong Tian, Jiandong Qu, Liangqiong Wang, Zhiyong Liu, Honghai State Key Laboratory of Robotics and System School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science China Department of Statistics and Actuarial Science The University of Hong Kong Hong Kong

Human-Object Interaction (HOI) detection plays a vital role in scene understanding, which aims to predict the HOI triplet in the form of . Existing methods mainly extract multi-modal features (e.g., appearance, object semantics, human pose) and then fuse them together to directly predict HOI triplets. However, most of these methods focus on seeking for self-triplet aggregation, but ignore the potential cross-triplet dependencies, resulting in ambiguity of action prediction. In this work, we propose to explore Self- and Cross-Triplet Correlations (SCTC) for HOI detection. Specifically, we regard each triplet proposal as a graph where Human, Object represent nodes and Action indicates edge, to aggregate self-triplet correlation. Also, we try to explore cross-triplet dependencies by jointly considering instance-level, semantic-level, and layout-level relations. Besides, we leverage the CLIP model to assist our SCTC obtain interaction-aware feature by knowledge distillation, which provides useful action clues for HOI detection. Extensive experiments on HICO-DET and V-COCO datasets verify the effectiveness of our proposed SCTC. Copyright © 2024, The Authors. All rights reserved.

关键词： Distillation

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Optimized Design of Frequency-Reconfigurable Microstrip Patch Antenna with RF MEMS Shunt Switches for Enhanced Return Loss Performance at 3.4 GHz

Optimized Design of Frequency-Reconfigurable Microstrip Patc...

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Smart Systems for applications in Electrical Sciences (ICSSES), International Conference on

作者： R Murali Narayanan G Ramkumar G Anitha Department of Automation and Robotics Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai

ISBN: (数字)9798350364040

ISBN: (纸本)9798350364057

This work offers an optimized design of a reconfigurable microstrip patch antenna coupled with RF MEMS shunt capacitor switches to improve performance at 3.4 GHz. The antenna, with dimensions of $40 \times 45 \times 1.6 \mathrm{~mm}$, was constructed and simulated using the HFSS (High-Frequency Structural Simulator). By utilizing RF MEMS technology to achieve frequency agility in HFSS, the antenna allows for dynamic reconfiguration of its operating frequency. Comparing the simulation results to prior designs, a significant improvement in return loss of $-40 \mathrm{~dB}$ and gain of 4.1dBi, as well as enhanced impedance matching and frequency coverage, is observed. These results underscore the potential of the proposed approach for multiband applications in contemporary wireless communication systems. Future optimization and application-specific modifications of the optimized antenna design are highly promising. Subsequent investigations may focus on optimizing design parameters to achieve superior performance measures such as reduced size, radiation efficiency, and bandwidth. Additionally, the antenna’s reconfigurable feature enables its use in various applications, including cognitive radio, satellite communications, and Internet of Things (IoT) devices. Exploring these possibilities could drive the evolution of wireless communication technology to meet the changing requirements of diverse applications.

关键词： Micromechanical devices Radio frequency Performance evaluation Shunts (electrical) Patch antennas Capacitors Microstrip antennas

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Temporal and Multi-level Context Attentive GRU Neural Networks 10th

Temporal and Multi-level Context Attentive GRU Neural Networ...

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10th International Workshop of Advanced Manufacturing and automation, IWAMA 2020

作者： Zhou, Chuanhong Liu, Haifeng Jiang, Xiaoyu School of Mechatronic Engineering and Automation Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai China

ISBN: (纸本)9789813363175

With the popularity of internet lifestyle, various of mobile software are widely used to manage and record daily lives. However, providing personalized functions for travel data management, statistics and display for users is difficult. In this paper, we analyze the problems in the current personalized Point-of-interest (POI) recommendation algorithm, and on this basis, introduce a new neural network model. Our model applies the encoding-decoding framework based on GRU (Gate Recurrent Units). Besides, different attention mechanisms are also applied for considering the impact of contextual factors and check-in sequences for model prediction performance, including the temporal and multi-level context attention mechanisms. We have conducted two experiments with different check-in datasets. The result provided the better prediction performance of our model than several latest models. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Information management

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