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检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

共 68829 条记录，以下是951-960 订阅

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An Innovative Shopping System with GSM Based automation for Physically Challenging and Old Age People 3

An Innovative Shopping System with GSM Based Automation for ...

引用

3rd international conference on Innovative Practices in technology and Management, ICIPTM 2023

作者： Getsy, Mary Kousar, Heena Shanmugam, A. Isaac, J. Samson Kulkarni, Nirzar Raja, P. Sudhakar, M. Manakula Vinayagar Institute of Technology Department of Electronics and Communication Tamil Nadu Puducherry India East Point College of Engineering Department of Computer Science Karnataka Bengaluru India Kongu Engineering College Department of Mechatronics Tamil Nadu Perundurai India Karunya Institute of Technology Department of Biomedical Engineering Tamil Nadu Coimbatore India Dr. Ambedkar Institute of Management Studies Department of Computer Science Maharashtra Nagpur India Prathyusha Engineering College Department of Mechanical Engineering Tamil Nadu Thiruvallur India Sri Sai Ram Engineering College Department of Mechanical Engineering Chennai India

ISBN: (纸本)9798350336238

The Automated Buying Cart, or 'Smart Cart,' is a cutting-edge consumer device created to speed up the shopping process for customers! The Automated Shopping Cart collects all the data from the moment a customer removes an item from the shelf of the store until the final bill is generated and ready for final checkout. The time needed to shop and pay is significantly decreased. When speed and efficiency are the main concerns in today's shopping systems, an automated shopping system using Radio Frequency Identification technology emerges as a convergent technology. The evaluation's findings were presented together with suggestions for future prototype development improvements. © 2023 IEEE.

关键词： Radio frequency identification (RFID)

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Object Detection Method and its Application Based on YOLOv5 2

Object Detection Method and its Application Based on YOLOv5

引用

2nd international conference on Artificial Intelligence, Human-computer Interaction and Robotics, AIHCIR 2023

作者： Zhang, Xiaolin He, Kaixun Zhao, Meng Jin, Xin College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China Technology Co Ltd Qingdao China

ISBN: (纸本)9798350360363

In light of the current deficiency in image-based target detection methods in poultry farming and the relatively outdated detection technology, this article introduces the YOLOv5 algorithm based on deep learning to address poultry target detection. It proposes a lightweight convolutional neural network (YOLOv5-CP) specifically designed for target detection in the poultry farming domain. To tackle challenges such as occlusion and a high number of network parameters in poultry target detection, the article enhances the backbone network of the YOLOv5 target detection architecture. It incorporates the FasterNeXt lightweight structure, modifies the original YOLOv5 loss function, applies the ECIOU loss function, and integrates the CA attention mechanism to improve target position information and extract regions of interest. The enhanced network is applied to intelligent breeding in poultry farming, and its performance is verified using a self-made dataset of cage-raised poultry targets. The improved network not only reduces the number of network parameters but also increases detection accuracy by 0.9%. © 2023 IEEE.

关键词： Convolutional neural networks

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SaaS-based Intelligent conference Management System using Facial Recognition 3

SaaS-based Intelligent Conference Management System using Fa...

引用

3rd IEEE international conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Ling, Yue Wuxi City College of Vocational Technology Huishan District Wuxi214153 China

ISBN: (纸本)9781665490788

An SaaS-based conference management system that implements facial recognition technology has been designed to address the requirement for intelligent conference management. The system leverages the SaaS model to achieve rapid deployment, enabling centralized management of multiple conference venues via a conference management service center. This center enables unified scheduling of attendees, equipment, and conference facilities, and provides customization to meet the requirements of various conference scenarios. The system uses facial recognition technology for conference check-in and data collection during the event, thereby optimizing conference automation management based on attendee information. User feedback has indicated a significant improvement in conference management efficiency. © 2023 IEEE.

关键词： Face recognition

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Fuzzy-synergetic Control of Course Keeping for USVs 7

Fuzzy-synergetic Control of Course Keeping for USVs

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2023 7th international Symposium on computer science and Intelligent Control, ISCSIC 2023

作者： Wu, Shipeng Ye, Hui Liu, Wei Yang, Xiaofei Jiangsu University of Science and Technology College of Automation Zhenjiang China

ISBN: (纸本)9798350342987

Given that Unmanned Surface Vehicles (USVs) are nonlinear systems with significant inertia and time delays, robustness and dynamic performance are crucial for course control systems. Synergetic control theory is effective in addressing nonlinear control problems, but it involves adjusting numerous parameters. In this paper, we propose utilizing fuzzy theory to adjust the parameter settings of the controller based on the USV's course angle, course angular velocity, member function, and fuzzy rules. Simulation experiments of the fuzzy-synergetic controller are conducted in MATLAB/Simulink and compared with synergetic controllers using different parameters. The experiments demonstrate the effectiveness of integrating synergetic control with fuzzy theory. Furthermore, the comparison results exhibit improved dynamic performance. © 2023 IEEE.

关键词： Fuzzy control

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A Cost-efficient Hardware Accelerator Design for 2D Sliding Discrete Fourier Transform

A Cost-efficient Hardware Accelerator Design for 2D Sliding ...

引用

2023 international conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Juang, Wen-Ho Wu, Meng-Chang Sheu, Yung-Hoh Shieh, Jen-Yu Hsieh, Tung-Hsien National Formosa University Computer Science and Information Engineering Yunlin County Taiwan National Formosa University Department of Electro-Optical Engineering Yunlin County Taiwan National Formosa University Department of Automation Engineering Yunlin County Taiwan

ISBN: (纸本)9798350324174

This work presents a cost-efficient hardware architecture design of 2-D sliding discrete Fourier transform (SDFT). The proposed design requires the lowest eight real adders and six real multipliers in hardware resource, compared with Park's method reduced by 11.1% and 25%, respectively. In the FPGA implementation, the proposed hardware accelerator is operated at 47.47 MHz, and then it is very suitable for time-frequency analysis in real time. © 2023 IEEE.

关键词： Discrete Fourier transforms

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Research on modeling and feature extraction of maritime vessel targets based on micro-doppler effect characteristics 5

Research on modeling and feature extraction of maritime vess...

引用

5th international conference on Signal Processing and computer science, SPCS 2024

作者： Cai, Fan Jiang, Yuesong Zhu, Tongbo School of Electronic and Electrical Engineering Minnan University of Science and Technology Quanzhou362700 China School of Electronic and Information Engineering Beihang University Beijing100000 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

The micro-Doppler effect captures the fine motion characteristics of maritime targets, serving as a crucial feature for distinguishing between sea clutter and targets, thereby enhancing radar target detection and recognition capabilities. In this study, a long-term radar echo model for micro-motion targets in sea clutter is established using maritime surveillance radar. By analyzing the morphological differences between constant-velocity targets and micro-motion clutter in Short-Time Fourier Transform (STFT) spectrograms, a sliding window cancellation method based on STFT spectrograms is proposed to remove micro-motion clutter. This method effectively separates target echoes from micro-motion clutter, facilitating the extraction of micro-motion target features. Both simulation and experimental results validate the effectiveness of the proposed method, laying a theoretical foundation for advancing maritime vessel detection and recognition. © 2025 SPIE.

关键词： Surveillance radar

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Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Feat...

引用

IEEE international conference on Robotics and automation (ICRA)

作者： Chung, Chi-Ming Tseng, Yang-Che Hsu, Ya-Ching Shi, Xiang-Qian Hua, Yun-Hung Yeh, Jia-Fong Chen, Wen-Chin Chen, Yi-Ting Hsu, Winston H. Natl Taiwan Univ Taipei Taiwan Natl Yang Ming Chiao Tung Univ Taipei Taiwan Mobile Drive Technol Plano TX USA

ISBN: (纸本)9798350323658

A spatial AI that can perform complex tasks through visual signals and cooperate with humans is highly anticipated. To achieve this, we need a visual SLAM that easily adapts to new scenes without pre-training and generates dense maps for downstream tasks in real-time. None of the previous learning-based and non-learning-based visual SLAMs satisfy all needs due to the intrinsic limitations of their components. In this work, we develop a visual SLAM named Orbeez-SLAM, which successfully collaborates with implicit neural representation and visual odometry to achieve our goals. Moreover, Orbeez-SLAM can work with the monocular camera since it only needs RGB inputs, making it widely applicable to the real world. Results show that our SLAM is up to 800x faster than the strong baseline with superior rendering outcomes. Code link: https://***/MarvinChung/Orbeez- SLAM.

关键词： computer vision

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Realization of RSSI Based, Three Major Components (Hx, Hy, Hz) of Magnetic Flux Created around the MI-TD Coil

Realization of RSSI Based, Three Major Components (Hx, Hy, H...

引用

2023 IEEE international conference on Electrical, automation and computer Engineering, ICEACE 2023

作者： Aman, Muhammad Gang, Qiao Shang, Zhigang Khan, Zahid Ullah Khan, Muhammad Shoaib Ullah, Irfan Wazir-Ur-Rahman Harbin Engineering University Acoustic Science and Technology Laboratory Harbin150001 China Key Laboratory of Marine Information Acquisition Ministry of Industry and Information Technology Harbin150001 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin150001 China

ISBN: (纸本)9798350309614

Wireless node localization is a critical need for many underwater applications, that heavily depends on mobile node position estimation. Data is sent between nodes using three main methods of communication-i) acoustic, ii) optical, and iii) magneto inductive-which calls for a reliable communication link, having no impact from organic materials present in the underwater habitat, such as (dirt, sand, rocks, marine animals and plants that includes all kinds irrespective of their size). In order to address the aforementioned need for a reliable link of communication between the anchor Tx and sensor Rx nodes, we will examine magneto inductive communication. It has the ability to avoid phenomena like refraction, scattering, and multi-paths that are associated with the prevalence of unforeseen challenges and poor visibility, which makes communication in underwater networks more challenging. More specifically, we'll focus on the magnetic components (Hx, Hy, and Hz) produced as a result of the current applied to the magneto-inductive tri-directional (MI-TD) coil. That is used between the anchor Tx and sensor Rx nodes in magneto inductive communication. © 2023 IEEE.

关键词： Magnetic field components Magneto Inductive Underwater wireless sensor networks Magneto-Inductive Tri directional coil

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Advancements in Crown Sheath Rot Detection using DenseNet121 and UNet in Rice Plant Leaf Analysis

Advancements in Crown Sheath Rot Detection using DenseNet121...

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2023 international conference on Data science, Agents and Artificial Intelligence, ICDSAAI 2023

作者： Thilagavathy, R. Kumar, S.Senthil Deebalakshmi, R. Deepa, D. Kavitha, R. Kumar, L. Sathish Srm Institute of Science and Technology School of Computing Department of Computing Technologies Kattankulathur India School of Arts and Science Tamil Nadu Chennai India Srm Institute of Science and Technology Department of Computer Science and Engineering Tamilnadu Tiruchirappalli India Kongu Engineering College Department of Computer Science and Engineering Tamil Nadu Perundurai India Karpagam Academy of Higher Education Department of Computer Applications TN Coimbatore India Vit Bhopal University School of Computing Science and Engineering MP Kotrikalan India

ISBN: (纸本)9798350348910

This article aims to investigate the leaf spot disease in rice, a condition that has been observed to cause substantial reductions in crop yield, ranging from 10% to 50%. The disease is characterized by the appearance of circular lesions on the leaves of rice plants, which gradually expand and cover the entire leaf surface, leading to the eventual death of the affected leaves. In order to achieve automation in the detection and severity classification of the disease under investigation, a range of deep learning models were utilized. These models encompassed Faster DenseNet121 and UNet. These methods proposed in this study was trained and tested using a dataset consisting of 1120 images. The findings of the study indicate that the DenseNet121 approach that yielded the highest level of success demonstrated a noteworthy classification accuracy rate of 95.23%. The results obtained from the integration of image processing techniques with deep learning models demonstrated superior performance compared to the analysis solely based on deep learning models. The integration described in this study presents a novel approach to enhance the efficiency of diagnosing leaf spot disease on rice. By leveraging advanced technology, this integration aims to reduce the time required for diagnosis, minimize the occurrence of human errors, and facilitate the timely application of suitable pesticides to mitigate the detrimental effects of the disease. © 2023 IEEE.

关键词： Integration

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Research on Key Technologies for Intelligent Detection of High-Speed Railway Pantograph Network Status Based on Improved YOLO Algorithm 4

Research on Key Technologies for Intelligent Detection of Hi...

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4th international conference on Consumer Electronics and computer Engineering, ICCECE 2024

作者： Wang, Rong Chen, Shenglan Wang, Jun Chen, Wenchen Pei, Hai Hunan Automotive Engineering Vocational College Zhuzhou China The College of Electrical Engineering and Automation Fuzhou University Fuzhou China The College of Automation Central South University Changsha China Crrc Times Co. LTD. Zhuzhou China

ISBN: (纸本)9798350384062

With the rapid development of high-speed railway technology, ensuring its operational safety has become an important issue. In particular, real-time monitoring of the high-speed railway pantograph network system is of great significance for preventing failures and reducing accidents. This research aims to improve the intelligent detection performance of high-speed railway pantograph network status through the improved YOLO algorithm. Research methods include the use of deep learning technology and image processing technology, focusing on improving the YOLO algorithm to enhance its detection accuracy in complex environments, especially its ability to identify small targets and its adaptability to dynamic environments. It is expected that through these improvements, more accurate and efficient status monitoring of high-speed railway pantographs will be achieved, thereby improving the safe operation level of high-speed railways. © 2024 IEEE.

关键词： Pantographs

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