2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT)最新文献

Discussion on Using Continue Statement to Improve a Descending Algorithm 用Continue语句改进降序算法的讨论

2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) Pub Date : 2023-04-28 DOI: 10.1109/ICCECT57938.2023.10140341

Weida Qin, Yinhu Wei

引用次数: 0

A memory allocation method for MPU memory protection unit 一种用于MPU内存保护单元的内存分配方法

2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) Pub Date : 2023-04-28 DOI: 10.1109/ICCECT57938.2023.10141446

Xin Wang, Zhiqiang Wang, Qilong Hu, Lin Fan, Ling Yi, Jingben Xu

引用次数: 0

Research on Photovoltaic Power Forecasting Based on SOM Weather Clustering 基于SOM天气聚类的光伏发电功率预测研究

2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) Pub Date : 2023-04-28 DOI: 10.1109/ICCECT57938.2023.10141448

Zhizhuo He, Haoyang Li, T. Lu

引用次数: 0

Driving Circuit Based on Artificial Synapse for Display 基于人工突触的显示驱动电路

2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) Pub Date : 2023-04-28 DOI: 10.1109/ICCECT57938.2023.10141069

Yongjie Ling, Huipeng Chen

{"title":"Driving Circuit Based on Artificial Synapse for Display","authors":"Yongjie Ling, Huipeng Chen","doi":"10.1109/ICCECT57938.2023.10141069","DOIUrl":"https://doi.org/10.1109/ICCECT57938.2023.10141069","url":null,"abstract":"The development trend of flat panel display is bound to be ultra-high pixel. While the current display is that the driving module is separated from the display module. And the operation speed is slow. When the amount of displayed data is large, the data transmission from the shift register to the column driver and the clock circuit to the row driver will have a time delay. This will increase the connection time between the picture frame and the frame. The computing based on Von Neumann framework is the separation of storage and calculation modules, which reduces the computing speed and integration density. And the display driving circuit based on this framework also has the same problem. Neuromorphic computation based on artificial neurons and artificial synapses is integrated with storage and computation in a device. This greatly improves the operation speed and integration density. In our work, artificial synaptic device was applied to the display driving circuit in order to solve the above dilemmas. The combination of neural morphological devices of artificial synapses and display will reduce the energy consumption of display and improve the speed of operation to realize the integration of display, memory and computing in a device, and brain-like parallel operation.","PeriodicalId":314504,"journal":{"name":"2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115743611","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

A ubiquitous IoT localization algorithm for power system 一种泛在电力系统物联网定位算法

2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) Pub Date : 2023-04-28 DOI: 10.1109/ICCECT57938.2023.10140371

Dawei Cheng

引用次数: 0

2D Maze Path Planning Based on Q-Learning and Bezier Curve 基于q -学习和Bezier曲线的二维迷宫路径规划

2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) Pub Date : 2023-04-28 DOI: 10.1109/ICCECT57938.2023.10140288

Guoqing Mu

引用次数: 0

A 16-21 GHz Double-Balanced Gilbert Upconversion Mixer with Low in-Band Spurious Using 0.25μm GaAs pHEMT Technology 采用0.25μm GaAs pHEMT技术的16-21 GHz低带内杂散双平衡吉尔伯特上转换混频器

2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) Pub Date : 2023-04-28 DOI: 10.1109/ICCECT57938.2023.10141269

Danqi Wang, Hongxi Yu

引用次数: 1

A data augmentation strategy for scene text recognition 一种场景文本识别的数据增强策略

2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) Pub Date : 2023-04-28 DOI: 10.1109/ICCECT57938.2023.10140231

Xin Luan, Jinwei Zhang, Miaomiao Xu, Wushour Silamu, Yanbing Li

{"title":"A data augmentation strategy for scene text recognition","authors":"Xin Luan, Jinwei Zhang, Miaomiao Xu, Wushour Silamu, Yanbing Li","doi":"10.1109/ICCECT57938.2023.10140231","DOIUrl":"https://doi.org/10.1109/ICCECT57938.2023.10140231","url":null,"abstract":"Synthetic datasets alleviate the shortage of label data in the real world to some extent. But, synthetic datasets still have problems with the complexity of picture backgrounds and text diversity. It is well known that collecting large amounts of real data is a job that requires a lot of human resources and material resources. Therefore, we propose a small batch data augmentation strategy, hoping to improve significant performance by collecting and labeling small batches of real data. We have verified our ideas on a strong baseline. The result shows that the accuracy of the model can be significantly improved by replacing the synthetic dataset with the real dataset, which proved that real datasets could train the model better than synthetic datasets. Then, we use different enhancement strategies to expand the data of small batches of real data sets and explore the performance improvement of the model under the condition of low-resource real data. Finally, we mixed the augmented small batch of real datasets and synthetic datasets to make the model learn the image features of real scenes more elegantly. The results show that the proposed strategy can well fill the gap between synthetic and real datasets and improve the model performance.","PeriodicalId":314504,"journal":{"name":"2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117164701","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

Economic dispatching model of virtual power plant and carbon emission under carbon trading mechanism 碳交易机制下虚拟电厂经济调度模型与碳排放

2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) Pub Date : 2023-04-28 DOI: 10.1109/ICCECT57938.2023.10140599

Wang Yutong, Teng Yun

{"title":"Economic dispatching model of virtual power plant and carbon emission under carbon trading mechanism","authors":"Wang Yutong, Teng Yun","doi":"10.1109/ICCECT57938.2023.10140599","DOIUrl":"https://doi.org/10.1109/ICCECT57938.2023.10140599","url":null,"abstract":"Virtual power plants can aggregate the distributed energy on the power generation side to improve the consumption degree of renewable energy. Given the unpredictability of renewable energy generation and the lack of cost competitiveness, virtual power plants often abandon wind and light in the process of operation. The economic benefits of a virtual power plant scheduling model under the carbon trading mechanism and electricity consumption behavior is established, so that renewable energy can participate in the carbon trading, and promote coordination between the user side and the power generation side. According to the bilayer, nonlinear and semi-continuity, a reconstruction method that integrated linear approximation, KKT condition and perspective transformation theory is transformed into a single-layer integer second-order cone model. The example shows that promoting the consumption of renewable energy can help improve the emission reduction benefits of virtual power plants. At the same time, the carbon trading mechanism has the ability to improve the total consumption of renewable energy, the response of users has the ability to improve the distribution of wind energy utilization, and the use of appropriate electricity price mechanism can further play the synergistic benefits between the two.","PeriodicalId":314504,"journal":{"name":"2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121276939","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

A Parameter-Optimized Mobilenet-v2 Using SSA and Its Application in Fault Diagnosis of Bearing 基于SSA的参数优化Mobilenet-v2及其在轴承故障诊断中的应用

2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT) Pub Date : 2023-04-28 DOI: 10.1109/ICCECT57938.2023.10141345

Shuting Wang, Haoyu Lu, Yuqi Xing

{"title":"A Parameter-Optimized Mobilenet-v2 Using SSA and Its Application in Fault Diagnosis of Bearing","authors":"Shuting Wang, Haoyu Lu, Yuqi Xing","doi":"10.1109/ICCECT57938.2023.10141345","DOIUrl":"https://doi.org/10.1109/ICCECT57938.2023.10141345","url":null,"abstract":"Traditional feature extraction methods have poor autonomous adaptation capabilities and lack universality in the face of large batches of data to obtain network models with optimal extraction capabilities. To improve each network's feature extraction capability and diagnostic accuracy, this paper proposes optimizing the mobilenet-v2 network framework using the Salp Swarm Algorithm (SSA). Firstly, the wavelet time-frequency transform is used to process the vibration signal from the CWRU-bearing data set and the wavelet time-frequency map is used as the input sample. Afterward, the root means square error (MSE) from the network training is used as the fitness function, and the optimal learning rate and a number of batch learning of Mobilenet-v2 are searched for using the bottle sheath swarm algorithm to find the optimal combination of parameters to minimise the error. Finally, combined with the powerful adaptive feature extraction and non-linear mapping capabilities of deep learning, the optimal parameters obtained from the search are input into the network to construct the best diagnostic model and test the data. The 99.32% correct rate was obtained through multiple tests on the sample data. Compared with the grey wolf optimization algorithm and the sparrow optimization algorithm, the iterative convergence converged faster and with higher accuracy.","PeriodicalId":314504,"journal":{"name":"2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124815861","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