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检索条件"任意字段=2023 3rd International Conference on Detection Technology and Intelligence System, DTIS 2023"

共 2097 条记录，以下是141-150 订阅

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2023 3rd international conference on Electronic Information Engineering and Computer Communication, EIECC 2023

2023 3rd International Conference on Electronic Information ...

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3rd international conference on Electronic Information Engineering and Computer Communication, EIECC 2023

ISBN: (纸本)9798350359961

The proceedings contain 142 papers. The topics discussed include: DeepLabV3-SAM: a novel image segmentation method for rail transportation;review on digital signal modulation methods and recognition performance characteristics in embedded systems;dynamic point convolution-based point cloud completion network;apple target detection task in complex scenes based on Yolov5 method;adaptive backward-link resource allocation in beam hopping communication system;dynamic frequency resource allocation method based on multi-beam directional ad-hoc network;small object detection algorithm for aerial photography based on improved YOLOv5;low-light image object detection algorithm based on YOLOX;research on frequency division MIMO radar imaging system;a long-term traffic flow prediction model based on multiple features;and a collaborative control model for shop-floor material handling system based on artificial intelligence.

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An Improved Harmonic detection Algorithm Combined with Blackman Window Bispectral Interpolation and Time Shift Phase Difference Method 3

An Improved Harmonic Detection Algorithm Combined with Black...

引用

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

作者： Lv, Changzhi Chi, Jiahong Wang, Xiaoming Wang, Yawei Shandong University of Science and Technology College of Electrical and Automation Engineering Shandong Qingdao China Shandong University of Science and Technology Electrical Information Department Shandong Jinan China State Grid Shandong Weihai Wendeng District Power Supply Company Shandong China

ISBN: (纸本)9781665490788

In order to improve the analysis accuracy, anti-interference and stability of the harmonic detection algorithm, an improved harmonic detection algorithm with Blackman window bispectral interpolation combined with full-phase time-shift phase difference method is proposed. Based on the analysis of the principles of the Blackman window bispectral interpolation method and the full-phase time-shift phase difference method, the harmonic detection algorithm is combined and optimized. And the frequency measurement accuracy is improved, and the measurement stability in the case of harmonic frequency fluctuation and noise interference is verified. The results show that the algorithm has high measurement accuracy and good performance, and has high application value. © 2023 IEEE.

关键词： Interpolation

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Research on hyperspectral polarization detection for unexploded ordnance target identification 3

Research on hyperspectral polarization detection for unexplo...

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3rd international conference on Laser, Optics, and Optoelectronic technology, LOPET 2023

作者： Zhang, Guofeng Li, Siyuan Lv, Qifeng Wang, Chi Department of Automation Shanghai University Shanghai China Department of Precision Mechanical Engineering Shanghai University Shanghai China

ISBN: (纸本)9781510667624

By analyzing the principle of polarization detection, a method of identifying unexploded ordnance using polarization spectral information is presented. Then a polarization hyperspectral detection system was designed. Finally, the system was used to conduct detection experiments on mines in the background of cluttered grass at 400-1000nm band. The experimental results indicated that the polarization characteristics of the unexploded ordnance and the natural background were different, and the use of polarization detection technology could well distinguish the unexploded ordnance from the natural background and improve the accuracy of target detection and scene identification, especially in the 450-800 nm band to achieve effective detection and identification of camouflaged targets from the cluttered background. © 2023 SPIE.

关键词： Polarization

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Research on Power Grid Fault Diagnosis Based on Artificial intelligence 3

Research on Power Grid Fault Diagnosis Based on Artificial I...

引用

3rd IEEE international conference on Electronic technology, Communication and Information, ICETCI 2023

作者： Liu, Xiaoyue Tianjin University of Technology Tianjin China

ISBN: (纸本)9798350398410

In order to avoid the expansion of power accidents and reduce fault losses, it is necessary to improve the power grid fault diagnosis, based on this point, this paper introduces artificial intelligence technology to explore the power grid fault diagnosis system and proposes a power grid fault diagnosis method based on deep belief network structure. The electrical quantities such as current and voltage of each phase directly after the fault occurs are used as the original input, and the fault state characteristics are automatically learned and extracted from the original time domain signals, thus enabling the identification of fault types. The experimental results show that the method has significantly improved over traditional fault diagnosis in terms of fast fault response, accurate diagnosis and localization, reliable decision support and non-manual intervention. © 2023 IEEE.

关键词： Failure analysis

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Application Research of Computer Artificial intelligence technology in Intelligent Home system 3

Application Research of Computer Artificial Intelligence Tec...

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2023 IEEE 3rd international conference on Data Science and Computer Application, ICDSCA 2023

作者： He, Shuiying Shanghai Institute of Commerce & Foreign Languages Shanghai201399 China

ISBN: (纸本)9798350341546

This paper constructs an intelligent home monitoring system based on NI wireless sensor network. The system consists of multiple sensors to collect temperature and humidity, smoke, theft and other environmental data. The NI wireless sensor network node sends the data to the upper PC in the way of wireless network. LabVIEW software is used to judge and control the data on PC. The system has obtained a good man-machine interface. Among them, the software design process of the system is introduced in detail. The intelligent home monitoring system has the characteristics of NI wireless sensor network - low power consumption, good real-time performance, easy to expand, remote monitoring and so on. © 2023 IEEE.

关键词： Artificial intelligence computer labVIEW remote monitoring sensor node smart home

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Real-time object detection and 3D scene perception in self-driving cars 3

Real-time object detection and 3D scene perception in self-d...

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3rd IEEE international conference on Artificial intelligence, ICAI 2023

作者： Basit, Abdul Ejaz, Muhammad Usama Ayaz, Qirat Malik, Fahad Mumtaz CEME Department of Electrical Engineering NUST Rawalpindi Pakistan CEME Department of Mechatronics Engineering NUST Rawalpindi Pakistan

ISBN: (纸本)9798350322125

Reliable autonomous urban driving hinges upon the vehicle's ability to perceive and navigate the environment. This research paper emphasizes designing and implementing a vision-based perception system for NUSTAG self-driving car. The primary task is the implementation of 3D bounding box estimation and depth perception using a stereo camera feed to estimate the positions of cars, bikes, and pedestrians. Moreover, road signs and traffic lights are detected using 2D object detection and classification. The major challenge to implement all these deep learning algorithms in parallel in the NVIDIA Jetson Xavier development kit is achieved by optimizing the models to perform inference in real-time. This is accomplished using the TensorRT framework employing ROS interface. The models have been trained for our requirements to yield efficient results within our operational design domain. © 2023 IEEE.

关键词： Object detection

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3rd international conference on Artificial intelligence, Robotics, and Communication, ICAIRC 2023

3rd International Conference on Artificial Intelligence, Rob...

引用

3rd international conference on Artificial intelligence, Robotics, and Communication, ICAIRC 2023

ISBN: (纸本)9789819721993

The proceedings contain 33 papers. The special focus in this conference is on Artificial intelligence, Robotics, and Communication. The topics include: Design and Research of UAV Fire Emergency and Intelligent Inspection system in the Valve Hall of Converter Station;Development Overview and Application Prospects of Advanced UUVs;bisporus Mushroom 3D Reconstruction for Digital Twin of Smart Factory;Research on Automatic Music Generation Based on LSTM;specific Emitter Identification Method Based on Aggregation Model with Metric Learning in Complex Field;fake Comment detection Based on Generative Adversarial Networks;Shipping Risk Assessment Ship Inspection Method Based on Improved YOLOv5;spatiotemporal Prediction of Harmful Algal Blooms Based on Spatiotemporal Attention and Transformer;large-Scale Information Dissemination Algorithm Based on Random Mapping;Smoke detection in Complex Scenery Using Improved Faster-RCNN;CoT-Enhanced CNN-ViT Fusion with Adaptive Token Learning for Precise Facial Expression Recognition;evaluation Method of Cognitive Level Based on Machine Learning and Wearable Device;ship Image Segmentation Based on Multi-dimensional Information and Feature Fusion;real-Time 6-DoF Object Pose Estimation Network Based on 2D-3D Coordinate Correspondence;traffic Light detection Based on Deep Learning;robot Navigation Based on Reinforcement Learning: An Overview;active Control technology of Supply Chain Intelligent Work Robot Based on Speech Enhancement technology;research on Security technology of Power Dispatching Data Network Based on Deep Learning;An Improved RRT Path Planning Method Incorporating Deep Reinforcement Learning for Space Multi-arm Robot;a Classification Denoising Algorithm Based on 3D Point Cloud Curvature;Comparative Analysis of the Effect of KPCA in PSO-GRU Combination Model.

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Research on Optical Remote Sensing Image detection technology based on Improved YOLOv5s 3

Research on Optical Remote Sensing Image Detection Technolog...

引用

3rd international conference on Testing technology and Automation Engineering, TTAE 2023

作者： Li, Zhaoqing College of Intelligence Science and Technology National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781510674769

To address the problem of false positives and false negatives caused by complex scenes and large scale differences in optical remote sensing image detection technology, a detection algorithm based on improved YOLOv5s is proposed. This algorithm achieves accurate detection of targets without sacrificing detection speed. The algorithm incorporates the ECA attention mechanism into the main feature extraction network to improve the algorithm's ability to extract target features. Experiments were conducted on publicly available domestic datasets. The results show that the improved algorithm's average precision mean has increased by 4.9%. The average precision for airplanes, oil barrels, and overpasses has increased by 0.4 percentage points, 0.4 percentage points, and 19.3 percentage points respectively. This effectively improves detection accuracy while maintaining a similar detection speed. © 2024 SPIE.

关键词： Object detection

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Deep Learning based MIMO detection in 6G Wireless Communication system 3

Deep Learning based MIMO detection in 6G Wireless Communicat...

引用

3rd IEEE international conference on Computational intelligence and Knowledge Economy, ICCIKE 2023

作者： Mishra, Priyanka Ul Amin, Mehboob Singh, Ghanshyam University of Johannesburg Centre for Smart Information and Communication Systems Department of Electrical and Electronic Engineering Sciences Johannesburg2006 South Africa

ISBN: (纸本)9798350338263

This paper proposes a deep learning algorithm to decode spheres in order to solve the multi-input multi-output (MIMO) receiver's detection problem. The modified K and K1 sphere decoders achieve high performance in terms of spectral efficiency. This in turn will improve the data rate of next generation wireless communication systems. In order to reduce the computational complexity, the number of codewords needs to be reduced, which can be achieved with a deep learning algorithm based on a neural network. Simulation results depict the effectiveness of the proposed schemes in terms of BER, spectral efficiency, and computational time. Simulations were carried out using the MATLAB tool to support the proposed algorithm and validate the analytical results. © 2023 IEEE.

关键词： Spectrum efficiency

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detection of Tubercle Bacilli by Fusion with YOLOv5s and ESRGAN 3

Detection of Tubercle Bacilli by Fusion with YOLOv5s and ESR...

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

作者： Li, Yonghong Zhou, Cheng Wan, Jiangcheng Wang, Binjie Chongqing University of Posts and Telecommunications School of Computer Science and Technology Chongqing40065 China

ISBN: (纸本)9781665490788

In order to solve the problem of small target and complex background in target detection, this paper proposes a fusion algorithm based on YOLOv5s target detection method and ESRGAN image super-resolution method -ESRGAN-YOLOv5s algorithm. The algorithm adds ESRGAN network to the input layer of YOLOv5s network, and then performs super-resolution data enhancement on the Mycobacterium tuberculosis data set input into the model;Then add channel and spatial attention module CBAM (Convolutional Block Attention Module) to the FPN (Feature Pyramid Networks) feature pyramid network of the model to improve the ability of the model to extract the characteristics of Mycobacterium tuberculosis;Finally, a large-scale feature map is added to the detection head of the model for the detection of tuberculosis bacilli. The experimental results show that the average accuracy (mAP) of tuberculosis detection based on the fusion of YOLOv5s and ESRGAN is 85.9%, which is 2.5% higher than the original YOLOv5s model. The improved tuberculosis detection algorithm has a better recognition effect on tuberculosis targets. © 2023 IEEE.

关键词： Tubes (components)

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