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Lightweight Domestic Garbage Detection Method Based on Improved FPN 基于改进FPN的生活垃圾轻量化检测方法
2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00084
Yanting Huang, Qi Wen, Yueqiao Li
{"title":"Lightweight Domestic Garbage Detection Method Based on Improved FPN","authors":"Yanting Huang, Qi Wen, Yueqiao Li","doi":"10.1109/AIEA53260.2021.00084","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00084","url":null,"abstract":"In order to better apply the target detection technology to the actual production environment of domestic garbage detection, this paper proposes a lightweight domestic garbage detection method based on improved FPN. This method takes the one-stage target detection method RetinaNet as the baseline, firstly it replaces the backbone network from Resnet50 to MobilenetV1, to improve the timeliness of feature extraction in detection. Then, based on the original top-down fusion feature pyramid method, a bidirectional fusion feature pyramid method called garfpn is proposed to improve the detection accuracy. The experiments show that our method can detect domestic garbage accurately and quickly, and has good robustness and practicability.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133899842","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: 2
Prediction of reservoir damage caused by fracturing fluid based on BP neural network 基于BP神经网络的压裂液对储层损害预测
2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00070
Fei Chen, Bo Bai, Zu-wen Wang, Lu Zhou, Ying Xu, Chong-Qing An
{"title":"Prediction of reservoir damage caused by fracturing fluid based on BP neural network","authors":"Fei Chen, Bo Bai, Zu-wen Wang, Lu Zhou, Ying Xu, Chong-Qing An","doi":"10.1109/AIEA53260.2021.00070","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00070","url":null,"abstract":"Low permeability reservoirs need fracturing to obtain productivity. The damage of fracturing fluid to reservoir is an important factor affecting productivity. Obtaining reservoir sensitivity data is an important task for optimizing fracturing fluid. At present, data is still obtained from reservoir sensitivity experiments in China. This traditional method has relatively high veracity, but it costs a lot of manpower and it is often behind the project. Thus, a prediction model which BP neural network is put forward. The success rate is 100% when this method is applied to the two wells of changqing Oil field. The experimental result indicates that BP network, good prediction results can be obtained.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134391376","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 magnetic couple characteristics based on metallic spiral structures 基于金属螺旋结构的磁偶特性研究
2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00043
Pin Cao, Qingmei Rao, Jian Yang, Fatao Tong
{"title":"Research on magnetic couple characteristics based on metallic spiral structures","authors":"Pin Cao, Qingmei Rao, Jian Yang, Fatao Tong","doi":"10.1109/AIEA53260.2021.00043","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00043","url":null,"abstract":"Because spoof surface plasmons cannot flexibly transmit on the ultrathin metallic spiral structures, this paper proposes ultrathin metallic spiral structures composed of double spiral arms, and analyses the transmission characteristics. Through simulation calculations, it is found that the resonant frequency of a single ultrathin metallic spiral structure is consistent with the resonant frequency of the dimer structures. In addition, when the rotation angle between the dimer structures is changed, the resonance frequency is basically unchanged. In order to study the influence factors of the magnetic resonance characteristics, the single structure and the dimer structures are scanned separately. The results show that spoof localized surface plasmons can be transmitted on the bend path, and the change of the relative permittivity of the dielectric substrate will not affect its resonant frequency. The increase of the width and the number of spiral turns will cause the resonant frequency of the single structure and the dimer structure to redshift respectively.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114800789","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 peak shaving method with extreme weather 极端天气下的剃峰方法
2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00071
Feng Jin, Jishen Liang, L. Kang, Hongye Zhang, Pengchao Lu
{"title":"A peak shaving method with extreme weather","authors":"Feng Jin, Jishen Liang, L. Kang, Hongye Zhang, Pengchao Lu","doi":"10.1109/AIEA53260.2021.00071","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00071","url":null,"abstract":"The V2G mode of electric vehicles has received more and more attention in participating in peak shaving. This model can quickly respond to peaking demand and play the role of cutting peaks and filling valleys. In this paper the influencing factors of electric vehicles participating in peak shaving is disscussed. After considering the influence of both extreme weather on EV participating and the distance with different number of charging piles on peaking shaving, the effects of these factors on the peaking of electric vehicles are analyzed, the formula for calculating the peaking capacity is derived. A sample of the peaking capacity of electric vehicles is given as well. Finally, the particle swarm optimization algorithm is used to maximize the daily income, and the optimization strategy of electric vehicles participating in peak shaving is obtained.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128565111","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 functional safety of drive motor system for electric vehicle 电动汽车驱动电机系统功能安全性研究
2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/aiea53260.2021.00025
Li Bo, Wei Xiaochen, Fu Yue
{"title":"Research on functional safety of drive motor system for electric vehicle","authors":"Li Bo, Wei Xiaochen, Fu Yue","doi":"10.1109/aiea53260.2021.00025","DOIUrl":"https://doi.org/10.1109/aiea53260.2021.00025","url":null,"abstract":"As the key electronic control system of electric vehicle, the driving motor system has a direct impact on the vehicle operation safety. According to the methodology given in the national standard GB/T 34590-2017 \"Road Vehicles - Functional Safety\" (Modified by ISO 26262-2011), this paper starts from the functional concept of drive motor system, hazard analysis and risk assessment is carries out. The functional safety goals and requirements are derived. It is pointed out that the quantitative safety acceptance criterion is very important for the implementation of the design and development of the drive motor system.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134395246","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
Emitter identification based on improved Variational modal decomposition at low SNR 基于改进的低信噪比变分模态分解的发射器识别
2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00040
Qiuxue Li, Yanhua Jin, Songtao Yan, ShaoKang Han
{"title":"Emitter identification based on improved Variational modal decomposition at low SNR","authors":"Qiuxue Li, Yanhua Jin, Songtao Yan, ShaoKang Han","doi":"10.1109/AIEA53260.2021.00040","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00040","url":null,"abstract":"Individual identification of radiation source is a technique based on extracting RF signal features. A new RF fingerprint extraction method is proposed for low SNR environment and low individual identification rate of radiation sources. The VMD algorithm is used to decompose the signal, and the autocorrelation function is used to optimize it to strengthen the suppression of the modal aliasing phenomenon after the signal decomposition. The decomposed modes were analyzed by the Teager energy operator, and the energy and box dimension were extracted as fingerprint features, which were input into the support vector machine (SVM) for classification and recognition. The simulation results show the effectiveness of using VMD to extract fingerprint features under low SNR environment. And the proposed emitter identification scheme can improve the recognition rate of emitter in the environment with low signal-tonoise ratio (SNR) -5~0dB.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132920552","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: 2
Blockchain and Ontology Methods: A Dual Fusion Framework of Knowledge And Data for Collaborative Design 区块链与本体方法:面向协同设计的知识与数据双重融合框架
2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00058
Fuhe Liang, Zhiyu Lin
{"title":"Blockchain and Ontology Methods: A Dual Fusion Framework of Knowledge And Data for Collaborative Design","authors":"Fuhe Liang, Zhiyu Lin","doi":"10.1109/AIEA53260.2021.00058","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00058","url":null,"abstract":"In order to improve the manufacturability of products and enhance the efficiency of communication during the co-design process, it is important to focus on the problem of inconsistent representation of concepts in the design and manufacturing domains; In the co-design process, it is important to consider the management of relevant data, such as the management of data upload, modification and access rights. Based on the above issues, this paper proposes a framework for dual fusion of knowledge data in co-design based on blockchain and ontology methods. Firstly, the ontology method is used to establish the framework for knowledge unification, and the knowledge and concepts in the design and manufacturing fields are unified so as to realize the purpose of concept unification and meet the needs of efficient communication. Secondly, the blockchain method is used to establish the data management system. Through signing the smart contract, the use authority of the data involved is limited, so as to realize the data fusion in the co-design process. In the co-design process, parallel and integrated design and manufacturing processes can be realized, and product manufacturability and communication efficiency between designers and manufacturing engineers can be improved through knowledge fusion and data fusion.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122746455","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
Design of Edge Detection System Based on FPGA 基于FPGA的边缘检测系统设计
2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00048
Yuhao Miao, Song Gao, Jiaming Liu, Jiao Xu
{"title":"Design of Edge Detection System Based on FPGA","authors":"Yuhao Miao, Song Gao, Jiaming Liu, Jiao Xu","doi":"10.1109/AIEA53260.2021.00048","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00048","url":null,"abstract":"As an image processing method, edge detection is widely used in object detection, image recognition, and machine vision. At present, the research on edge detection algorithms is still a hot spot in the field of image processing. In order to solve the problem that the large amount of salt and pepper noise in the image makes it difficult to identify the license plate of the vehicle entering and leaving the parking lot or on the road, and to identify the edges of important information more effectively, a traditional sobel operator edge detection algorithm is adopted and deployed on the Field programmable gate array(FPGA) platform with Xilinx’s xc7a35tcsg324 as the main control chip. In this paper, the original image is converted into gray image by FPGA-based gray-scale conversion algorithm, and then the mean filtering algorithm and median filtering algorithm based on FPAG are adopted. By comparing the experimental results under 0.02 salt and pepper noise, it is concluded that the median filtering method can effectively filter out salt and pepper noise. After median filtering, the sobel edge detection algorithm is used. It is found that the sobel after median filtering is more obvious than the sobel before median filtering, and a lot of salt and pepper noise is filtered out.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131192098","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: 1
Research on power medium-and long-term load forecasting based on forecasting empirical partial least squares regression 基于预测经验偏最小二乘回归的电力中长期负荷预测研究
2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00089
Liang Jiahao, Gao Yuan, Liu Dunnan
{"title":"Research on power medium-and long-term load forecasting based on forecasting empirical partial least squares regression","authors":"Liang Jiahao, Gao Yuan, Liu Dunnan","doi":"10.1109/AIEA53260.2021.00089","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00089","url":null,"abstract":"The research of medium-and long-term load characteristics aims at analyzing the change rule and development trend of load, which is an important link of power market analysis. It is of great significance to correctly grasp the medium-and long-term load characteristics for power system planning and operation, so it is necessary to study the load characteristics analysis and prediction methods. According to the provincial power grid historical load data and related information, in the long-term for regional power grid load characteristic index on the basis of statistics and analysis, delves into the various characteristic parameters and the influence factors and the reasonable load forecasting method is applied to a 2021-2030 in the medium-and long-term power load forecasting, and obtain the reasonable results. Finally, the report analyzes the related prediction results and makes research prospects.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126939716","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
Simulation Optimization of the Prototype for Hybrid Production of Multi-Type Products 多品种产品混合生产样机的仿真优化
2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00030
Shiyong Wang, Yu Ou, Zhuohao Li, Y. Cao, J. Wan
{"title":"Simulation Optimization of the Prototype for Hybrid Production of Multi-Type Products","authors":"Shiyong Wang, Yu Ou, Zhuohao Li, Y. Cao, J. Wan","doi":"10.1109/AIEA53260.2021.00030","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00030","url":null,"abstract":"This paper studies the hybrid production dynamics of an intelligent manufacturing prototype platform for assorted candies’ packaging called iCandyBox. The dependence between the maximum allowed number of workpieces in progress (WIP) and the circuit-breaker time which determine WIP’s priority is explored, and their effect on the iCandyBox’s production performance is assessed both qualitatively and quantitatively. The study utilizes a three-dimensional simulation model to conduct the experiments. The simulation results indicate that when the WIP increases and circuit-breaker time remains unchanged, the iCandyBox prototype exhibits four typical modes: layered mode, fluctuating mode, congestion mode, and dead-lock mode. In such a case, the throughput (inversely proportional to production efficiency) changes in the shape of the letter V, and the process dynamics worsens. Similarly, fixing the maximal WIP while increasing the circuit-breaker time does not significantly impact the production efficiency, but the process dynamics worsen. The results demonstrate that a positive linear relationship between maximum work in progress and circuit-breaker time should be maintained to optimize production efficiency and process dynamics.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114164228","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
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