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2nd international conference on Electrical, Electronics, and Information Engineering, EEIE 2023

作者： Xu, Huinan Lu, Ming Li, Lelin Chen, Yunuo Key Laboratory of Intelligent Informatics for Safety & Emergency of Zhejiang Province Wenzhou University Wenzhou325035 China School of Computer and Artificial Intelligence Wenzhou University Wenzhou325035 China

ISBN: (纸本)9781510672840

In view of the problem that the financial bill of the mobile terminal is not fixed, resulting in serious distortion of the photos taken, and can not have a good recognition effect, this paper mainly studies the financial bill recognition accuracy of the mobile terminal based on OCR technology, and designs the relevant mobile terminal system. The whole research is composed of three parts: OCR recognition, image comprehensive processing and character classification recognition. In the part of text classification and recognition, decision tree and hypothesis tree search are selected to match the layout. The experiment selects many financial invoices as data sources, and tests them on mobile terminals in different environments. The experimental results show that the system has good results in financial bill recognition on mobile terminals. © 2024 SPIE.

关键词： Decision trees

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Simulation of rotor position indirect detection system for SRM 2

Simulation of rotor position indirect detection system for S...

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2nd international conference on Artificial intelligence, Automation, and High-Performance Computing, AIAHPC 2022

作者： Xu, Gang Zhonghuan Information College Tianjin University of Technology Tianjin China

ISBN: (纸本)9781510657717

In this paper, the simulation model of sensorless detection system is built, including SRM, power converter and rotor position indirect detection module. The effectiveness of the sensorless motor starting scheme and the indirect rotor position detection scheme in the operation stage proposed is verified by simulation, the more accurate rotor position estimation can be ensured in the low-speed operation stage after motor starting, the response time of motor starting is short. After simulation analysis, it can be concluded that the detection strategy proposed in this paper can be used to obtain the SRM rotor angle indirectly. © 2022 SPIE. All rights reserved.

关键词： Optical engineering

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Island detection In Inverter Based Distributed Generation Using A Hybrid Method 2

Island Detection In Inverter Based Distributed Generation Us...

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2nd international conference on Artificial intelligence and Smart Energy, ICAIS 2022

作者： Hariprasad., B. Bharat Kumar, P. Sujatha, P. Sreenivasan, G. Jnt University Anantapur Department of Eee A.P. Ananthapuramu India Jntua Cea Department of Eee A.P. Ananthapuramu India Pvkk Institute of Technology Department of Eee A.P. Ananthapuramu India

ISBN: (纸本)9781665400527

This article introduces hybrid islanding technology for distributed generation (DG) based on inverters. This system depends on passive and active identification methods. The active island method produces interference at the DG output by continuously regenerating and injecting a feedback signal that depends on the implementation of the dq. On the other hand, the passive island method detects the island by controlling the frequency and voltage. This system uses a parallel connected RLC load. It has been shown that this control system is reliable, able to detect islands with a linear load and react quickly. Possible island conditions are simulated and checked © 2022 IEEE.

关键词： Distributed power generation

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2022 2nd international conference on Communication technology and Information technology, ICCTIT 2022

2022 2nd International Conference on Communication Technolog...

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2022 2nd international conference on Communication technology and Information technology, ICCTIT 2022

The proceedings contain 18 papers. The topics discussed include: low-power time synchronization algorithm for wireless sensor networks;research on the safety alarm distribution and control system of electric construction machinery based on edge computing technology;FPGA implementation of integer loop delay estimation with low complexity in undersampling digital predistortion system;research on the line spectrum denoising detection based on multi-scale feature autoencoder;a broadband optical fiber coupler based on dual-hollow core fiber;indoor three-dimensional positioning system based on visible light communication using improved fish swarm algorithm;SP-E: security evaluation framework of in-vehicle infotainment system based on threat analyses and penetration tests;an adaptive stochastic resonance detection method based on a fast artificial fish swarm algorithm;and a novel encoder-decoder structure-based transformer for fine-resolution remote sensing images.

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2nd international conference on Artificial intelligence, Robotics, and Communication, ICAIRC 2022

2nd International Conference on Artificial Intelligence, Rob...

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2nd international conference on Artificial intelligence, Robotics, and Communication, ICAIRC 2022

ISBN: (纸本)9789819945535

The proceedings contain 27 papers. The special focus in this conference is on international conference on Artificial intelligence, Robotics, and Communication. The topics include: Pilot Design for Compressed Sensing Based OFDM Channel Estimation;a Review of the Development of Artificial intelligence Electronic Circuit technology;Stock’s Closing Price Prediction Based on GRU Neural Network;random Forest Algorithm for Forest Fire Prediction;underwater Image Clearing Algorithm Based on the Laplacian Edge detection Operator;multi-models Study on the Influence of Space–Time Factors on the Shared Bike Usage;application of Collaborative Robot in Cigarette Production Line for Automatic Distribution of Packaging Materials;comparison of Data Processing Performance of Hadoop and Spark Based on Huawei Cloud and Serverless;structured Model of "Three Flows in One" Emergency Preplan Based on Knowledge Graph;the Advance and Performance Analysis of MapReduce;an Efficient Model for Dorsal Hand Vein Recognition Based on Combination of Squeeze-and-Excitation Block and Vanilla ResNet;design and Implementation of Online Book Sale system;review of Tobacco Planting Area Estimation Based on Machine Learning and Multi-source Remote Sensing Data;an Innovative Information system for Health and Nutrition Guidance;Research on Energy Saving Scene of 5G Base Stations Based on SOM + K-Means Two-Stage Clustering Algorithm;Smart Substation Synthetical Smart Prevent Mishandling system Based on Topology Model and Intelligent IOT;fresh Products Application Information Management system;a Novel Action Recognition Method Based on Attention Enhancement and Relative Entropy;Application of Combinatorics Based on Discrete Analysis in WCET Embedded Software Testing technology.

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detection of false data injection attack in power information physical system based on SVM-GAB algorithm

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ENERGY REPORTS 2022年 8卷 1156-1164页

作者： Xiong, Xiaoping Hu, Siding Sun, Di Hao, Shaolei Li, Hang Lin, Guangyang Univ Guangxi Univ Sch Elect Engn Nanning 530004 Guangxi Peoples R China

Cyber physical power system (CPPS) is highly dependent on information and communication technology, which makes it vulnerable to network attacks. Among them, false data injection attack (FDIA) is not easy to be found by traditional bad data detection methods, and becomes one of the main threats to the safe operation of power systems. However, the high complexity, large amount of data and transient characteristics of CPPS put forward higher requirements for the accuracy and efficiency of FDIA detection method. Therefore, in view of the characteristics of CPPS, this paper proposes SVM-GAB (Support Vector Machines-Gentle Adaboost) algorithm to effectively detect FDIA. Through the effective dimension reduction and classification of the measured data, the real-time and high-precision detection of FDIA is realized. This algorithm is compared with mainstream detection algorithms in IEEE-14 and IEEE-39 standard systems. The results show that the false alarm rate of this algorithm is reduced by at least 25% compared with the traditional detection algorithm, and the accuracy and real-time performance of the proposed detection algorithm are verified by experiments. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://***/licenses/by/4.0/). Peer-review under responsibility of the scientific committee of the 2021 The 2nd international conference on Power Engineering, ICPE, 2021.

关键词： Cyber physical power system (CPPS) Information security False data injection attack (FDIA) UMAP SVM-GAB

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Application of YOLOv5m Network Based on Deep Learning in Aquaculture detection 2

Application of YOLOv5m Network Based on Deep Learning in Aqu...

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2nd international conference on Artificial intelligence and Intelligent Information Processing, AIIIP 2023

作者： Li, Haoyuan Chen, Xiaodan Lin, Xiaoyin Deng, Cuiling Wu, Rongrong Chen, Xinxin School of Information Technology Guangdong University of Technology Guangdong Zhaoqing China School of Electrical and Electronic Engineering Guangdong University of Technology Guangdong Zhaoqing China

ISBN: (纸本)9798350371451

This article proposes an improved pig eye object detection method based on YOLOv5m, which adopts a multi head self attention mechanism on top of the original object detection attention mechanism. The multi head self attention mechanism is added to feature fusion and a new network model is established. The residual module in YOLOv5m is compared with the existing YOLOv5m through ablation experiments, and the improved model has a mAP of 0.969, with accuracy The effective recall rate is superior to other feature recognition models. This method improves the detection ability of the network model for small targets, effectively reducing the missed detection rate and false detection rate. © 2023 IEEE.

关键词： Object recognition

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Portable cardiovascular function detection system based on pulse wave 2

Portable cardiovascular function detection system based on p...

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2nd international conference on Artificial intelligence, Automation, and High-Performance Computing, AIAHPC 2022

作者： Hongyi, Zhang Shaoming, Sun Haitao, Zhang Anhui University Institutes of Physical Science and Information Technology Anhui Province Hefei230601 China Institute of Technology Innovation Engineering Hefei Institute of Physical Science Chinese Academy of Sciences Anhui Province Hefei230031 China

ISBN: (纸本)9781510657717

Based on the pulse wave, a portable cardiovascular function detection system is designed, realizing the synchronous measurement of brachial artery pulse wave and blood pressure, and calculating a number of cardiovascular parameters based on the characteristic points of the pulse wave waveform and the blood pressure value. The system integrates data collection, processing, display, and report query, which is compact and easy to carry. Through comparative experiments with the SphygmoCor pulse wave analysis system, the correlation coefficient r of multiple cardiovascular parameters is greater than 0.79, and the p value is less than 0.01, indicating that the system has high detection accuracy. © 2022 SPIE. All rights reserved.

关键词： Blood pressure

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Real-Time Anomaly detection for Smart and Safe City Using Spatiotemporal Deep Learning 2

Real-Time Anomaly Detection for Smart and Safe City Using Sp...

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2nd IEEE international conference on Artificial intelligence (ICAI)

作者： Hasib, Rabia Jan, Atif Khan, Gul Muhammad Univ Engn & Technol Dept Comp Syst Engn Peshawar Pakistan Univ Engn & Technol Dept Elect Engn Peshawar Pakistan

ISBN: (纸本)9781665468961

A smart city ensures the safety of its citizens by the reduction of crime and terror threats. Despite intensive efforts to prevent and control anomalous human activities, they still pose a major risk and challenge to the society. This paper presents an automatic recognition of unusual human behavior captured by a CCTV camera in public areas, using spatio-temporal 3D convolutional neural networks. The weakly labeled benchmark dataset has been properly annotated to remove noise for accurately localizing anomalies within videos. This human-related dataset with real crime scenes is then compared to other state-of-the-art techniques such as Pseudo 3D and ResNet 3D. Our experimental results on the newly developed dataset outperforms most competing models in terms of area under the curve (AUC), obtaining 97.39% AUC.

关键词： anomaly detection intelligent video surveillance spatio-temporal feature extraction computer vision

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2nd international conference on Data Analytics and Learning, DAL 2022

2nd International Conference on Data Analytics and Learning,...

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2nd international conference on Data Analytics and Learning, DAL 2022

ISBN: (纸本)9789819963454

The proceedings contain 20 papers. The special focus in this conference is on Data Analytics and Learning. The topics include: Nitrogen Deficiency and Yield Estimation in Paddy Field;medical Image Compression Using Huffman Coding for Tiff Images;Efficient Wavelet Based Denoising Technique Combined with Features of Cyclespinning and BM3D for Grayscale and Color Images;PBRAMEC: Prioritized Buffer Based Resource Allocation for Mobile Edge Computing Devices;surface Water Quality Analysis Using IoT;children Facial Growth Pattern Analysis Using Deep Convolutional Neural Networks;classification of Forged Logo Images;detection, Classification and Counting of Moving Vehicles from Videos;two-Stage Word Spotting Scheme for Historical Handwritten Devanagari Documents;face Recognition Using Sketch Images;3D Object detection in Point Cloud Using Key Point detection Network;IRIS and Face-Based Multimodal Biometrics systems;a Survey on the detection of Diseases in Plants Using the Computer Vision-Based Model;an Approach to Conserve Wildlife Habitat by Predicting Forest Fire Using Machine Learning Technique;A Method to Detect Phishing Websites Using Distinctive URL Characteristics by Employing Machine Learning Technique;aquaculture Monitoring system: A Prescriptive Model;machine Learning-Based Pattern Recognition Models for Image Recognition and Classification;a Review of Silk Farming Automation Using Artificial intelligence, Machine Learning, and Cloud-Based Solutions.

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