2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )最新文献_第9页

Chaotic Characteristics Analysis on Aerostat RCS via Phase Space Reconstruction and Largest Lyapunov Exponent 基于相空间重构和最大李雅普诺夫指数的浮空器RCS混沌特性分析

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929566

Kunkun Li, Huimin Xue, Tianxiang Liu

引用次数: 0

Research on Text Detection Algorithm based on Improved FPN 基于改进FPN的文本检测算法研究

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929716

Huibai Wang, Shaoxian Feng

{"title":"Research on Text Detection Algorithm based on Improved FPN","authors":"Huibai Wang, Shaoxian Feng","doi":"10.1109/IAEAC54830.2022.9929716","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929716","url":null,"abstract":"In recent years, due to the increasingly application of machine vision in various aspects, the topic of text recognition in actual scenes has gradually become a research hot spot of machine vision research. For images with complex backgrounds, the first thing to do is to accurately locate the position of the target text, and then the text content can be efficiently identified. However, as far as the current text detection algorithms based on deep learning are concerned, there are still problems such as incomplete extraction of text feature regions, and wrong detection of images as text regions. Therefore, this paper proposes an improved DB algorithm to solve the problems of the variable shape and complex background of the text area in the label text detection task, so that the algorithm can achieve better detection effect and better performance in complex scenes. The content of the article is mainly from the following main aspects:firstly, the current situation of text detection algorithms is introduced, then the improvement of the DB algorithm with ResNet-50 as the backbone network is proposed, and finally mPA (mean Average Precision) is used as the evaluation of text detection. By comparing the various detection algorithms, it is found that the improved algorithm has significantly improved the detection accuracy and recall rate, and the model speed is also faster.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"40 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122811312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improved U-Net Network Segmentation Method for Remote Sensing Image 改进的U-Net遥感图像分割方法

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929616

Letian Zhong, Yong Lin, Yian Su, Xianbao Fang

引用次数: 0

Improved Seagull Optimization Algorithm Incorporating Golden Sine and Tent Chaotic Perturbations 结合金正弦和Tent混沌扰动的改进海鸥优化算法

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929543

Ange Chen, Hanzhang Peng, Yu Zhong, Huimin Ren

引用次数: 0

A Pivotal Supplier Identification Approach Considering Unit Ramp Rate in Day-ahead Electricity Market 日前电力市场中考虑机组斜坡率的关键供应商识别方法

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929498

Siyu Zhu, Zhihang Jiang, Hailang He, Zhen-tao Hu, Wengan Chen, Chenyang Li

{"title":"A Pivotal Supplier Identification Approach Considering Unit Ramp Rate in Day-ahead Electricity Market","authors":"Siyu Zhu, Zhihang Jiang, Hailang He, Zhen-tao Hu, Wengan Chen, Chenyang Li","doi":"10.1109/IAEAC54830.2022.9929498","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929498","url":null,"abstract":"With wind power, solar energy and other large-scale intermittent renewable energy integrating to the grid, the demand for the ramp rate will be significantly increased in day-ahead electricity market. The power producers may use their ramp rate to become the pivotal supplier and exercise their market power. Therefore, it is necessary to quantitatively analyze the influence that the ramp rate of units may have on their possibility to become the pivotal suppliers. In this paper, a multi-period ex-ante pivotal supplier identification model with considering the unit ramp rate constraints is proposed to quantify the ex-ante market power. The objective function is to minimize the sum of the output slack variables for each period. The constraints include unit output constraints, transmission constraints and unit ramp rate constraints. Considering that the slack variables of different periods may affect with each other, a progressive optimization strategy is proposed to accurately locate the periods that pivotal suppliers emerge. Meanwhile, the multi-scenario analysis is used to deal with the uncertainty of the net load forecasting. The proposed model is a linear programming problem which is implemented on the GAMS platform and solved by the CPLEX solver efficiently. Finally, the effectiveness of the method proposed in this paper is verified through the case study which is based on the modified IEEE14-node system.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129849534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Feature Extraction of Underwater Acoustic Target Signals Using Gammatone Filterbank and Subband Instantaneous Frequency 基于伽玛酮滤波器组和子带瞬时频率的水声目标信号特征提取

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929447

Zixu Lian, Tianshu Wu

{"title":"Feature Extraction of Underwater Acoustic Target Signals Using Gammatone Filterbank and Subband Instantaneous Frequency","authors":"Zixu Lian, Tianshu Wu","doi":"10.1109/IAEAC54830.2022.9929447","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929447","url":null,"abstract":"Feature extraction is the key process of underwater acoustic target recognition. Inspired by human auditory perception, several auditory-based features were developed for robust underwater acoustic target recognition. However, most of them only represent the spectral envelope or energy of the signal. Nevertheless, the phase represented by instantaneous frequency (IF) also reflects some characteristics of the target. Furthermore, the IF-based features can be combined with the energy-based features to enhance the recognition performance. In this paper, we propose several features that are extracted from the outputs of the Gammatone filterbank. The combined features are constructed explicitly by concatenating the energy-based and subband IF-based features or implicitly by calculating the energy weighted mean subband IF features. Recognition experiments are conducted on real underwater acoustic target radiated noise signals, and white Gaussian noise is added for simulating different signal-to-noise ratio conditions. Support vector machine is employed as the classifier. The experimental results reveal that the proposed features can enhance the recognition performance compared with the conventional auditory-based features.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129853055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent manufacturing execution system based on holon modularity 基于全息模块化的智能制造执行系统

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929949

Cheng Ni, Hairong Yan

引用次数: 0

The application of three-dimensional information technology in the construction of overhead transmission lines 三维信息技术在架空输电线路建设中的应用

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929582

Yimin Zheng, Hao Wang, Xi-Ming Li, Genliang Chen, Zhong-Zheng Xu, Jiehua Ding

引用次数: 0

Research on Key Technologies of Low voltage Flexible direct system based on Station area Energy consumption optimization 基于站区能耗优化的低压柔性直连系统关键技术研究

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9929789

Yong Yang, Zengdong Jia, Lei Liu, Mingmao Hu, Zhigao Li, Na Yan, Liang Tang

{"title":"Research on Key Technologies of Low voltage Flexible direct system based on Station area Energy consumption optimization","authors":"Yong Yang, Zengdong Jia, Lei Liu, Mingmao Hu, Zhigao Li, Na Yan, Liang Tang","doi":"10.1109/IAEAC54830.2022.9929789","DOIUrl":"https://doi.org/10.1109/IAEAC54830.2022.9929789","url":null,"abstract":"This paper mainly studies the periodic heavy overload problem in the station area. Combined with the energy management system, it can realize the access of lighting, storage and charging of DC bus, as well as the application of three terminals or multi terminal AC port. Through collaborative scheduling, it can promote the consumption capacity of renewable energy in the station area and be applied to the field of AC / DC hybrid microgrid with interactive source network load. Because the converter valve has four quadrant operation capacities, it is designed and developed based on the software and hardware platform with unified functions such as energy storage, reactive power compensation, harmonic compensation and imbalance treatment. A set of key equipment of low-voltage flexible and direct system composed of two converter valve modules with two-way power transmission function is developed and installed in the two low-voltage distribution stations to realize flexible interconnection and energy mutual assistance between the two low-voltage stations and improve the optimization level of energy consumption in the station area.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129748326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on 3D Digital Modeling of Power Grid and the Practical Key Technologies based on GIM 基于GIM的电网三维数字建模及实用关键技术研究

2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) Pub Date : 2022-10-03 DOI: 10.1109/IAEAC54830.2022.9930091

Yingxin Ma, Dengbo Fan, Hua Fan, Jifei Wang, Xin Cai

引用次数: 0