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Optimal Operation Model of Ecological Flow of Hydropower Station Based on Genetic Algorithm and Neural Network 基于遗传算法和神经网络的水电站生态流量优化运行模型
Advances in Engineering Technology Research Pub Date : 2024-02-19 DOI: 10.56028/aetr.9.1.785.2024
Qiyou Wang, Jiping Chen, Liang Cui
{"title":"Optimal Operation Model of Ecological Flow of Hydropower Station Based on Genetic Algorithm and Neural Network","authors":"Qiyou Wang, Jiping Chen, Liang Cui","doi":"10.56028/aetr.9.1.785.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.785.2024","url":null,"abstract":"In view of the contradiction between the ecological flow regulation of the reservoir River and the power generation flow regulation of the reservoir with the largest power generation, this paper takes the maximum power generation and the maximum average ecological protection degree as the objective function, and uses the genetic algorithm back propagation neural networks (GA-BP) algorithm to establish the reservoir flow regulation model under the constraints of water balance, reservoir capacity, unit output and unit overflow, The optimal solution of the dispatching scheme is carried out, and the Shulehe hydropower station is taken as an example to verify the optimal scheme. The results show that the optimized dispatching model can ensure the demand of ecological flow, increase 32680 kW·h power generation and 23.85% power generation benefit, so as to provide scientific reference for the rational planning, dispatching and utilization of reservoir water resources.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"40 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140452132","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
Influencing Factor and Research Progress of Neonatal Nutritional Support 新生儿营养支持的影响因素和研究进展
Advances in Engineering Technology Research Pub Date : 2024-02-19 DOI: 10.56028/aetr.9.1.757.2024
Jing Zhang
{"title":"Influencing Factor and Research Progress of Neonatal Nutritional Support","authors":"Jing Zhang","doi":"10.56028/aetr.9.1.757.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.757.2024","url":null,"abstract":"Neonatal nutrition has been the subject of debate and research since ancient times. The lack of the nutritional needs of newborns will lead to a series of problems such as growth stagnation, neurodysplasia and reduced cognitive level. This article reviews influencing factors of the neonatal nutrition support and research progress.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"13 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450675","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
Topology-based Resilience Assessment of Port Multimodal Transport Networks: A Case Study of Shanghai Port 基于拓扑的港口多式联运网络弹性评估：上海港案例研究
Advances in Engineering Technology Research Pub Date : 2024-02-19 DOI: 10.56028/aetr.9.1.818.2024
Xi Dong, Junyi Min, Yiheng Xi, Chenming Jiang
{"title":"Topology-based Resilience Assessment of Port Multimodal Transport Networks: A Case Study of Shanghai Port","authors":"Xi Dong, Junyi Min, Yiheng Xi, Chenming Jiang","doi":"10.56028/aetr.9.1.818.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.818.2024","url":null,"abstract":"As transit nodes in the field of international trade, ports are of critical importance for establishing and maintaining the effectiveness of the trade supply chain. However, the system performance of ports is vulnerable to disruptions caused by unexpected events such as natural disasters, accidental catastrophes, and public health emergency. These disruptive events will have serious negative impacts on the normal operation performance of ports and international trade among countries. This paper is to propose a comprehensive assessment framework of the system resilience of the port multimodal transport networks before and after the occurrence of disruption events, which can effectively improve its ability to deal with emergencies, minimize losses, and enhance the system performance levels. This paper also establishes several simulation experiments focusing on the full lifecycle of resilience based on topology of the transport networks, and simulates a variety of scenarios regarding different damage and recovery modes, such as deliberate attack, random attack, planned recovery, and random recovery, in the assessment process. Then the actual transport situation of Shanghai port is taken as a case study, and three multimodal transport networks including the sea-rail network, the sea-road network, and the sea-road-rail network under different disruption scenarios are compared，and evaluate the evolutions of the network resilience of the multimodal transport networks of Shanghai port stage by stage. In addition, managerial suggestions are also proposed based on the resilience assessments of different disruption scenarios to maximize the resilience of multimodal transport networks of Shanghai port.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"22 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450724","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
System of Smart Home Based on Speech Recognition with Machine Learning 基于机器学习语音识别的智能家居系统
Advances in Engineering Technology Research Pub Date : 2024-02-19 DOI: 10.56028/aetr.9.1.796.2024
Baihua Li
{"title":"System of Smart Home Based on Speech Recognition with Machine Learning","authors":"Baihua Li","doi":"10.56028/aetr.9.1.796.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.796.2024","url":null,"abstract":"This article designs and implements a system of smart home based on speech recognition with machine learning and Android. The STM32 microcontroller is combined with actuating components to control home devices by obtaining server control commands through the network. This article designs a smart home APP based on Android and Google Voice Search, optimizes the speech recognition algorithm by using the training results from Word2Vector model to improve the recall rate of the speech recognition of command samples. This APP displays environmental data according to the scenario for users, such as the temperature, humidity, and alert of smoke gas. The test results show that the recognition recall rate of the test data of control commands from users of different ages is increased to 94.4% with high stability. ","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"20 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140451054","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
Preparation and Properties of Graphene Flexible Membrane 石墨烯柔性薄膜的制备与性能
Advances in Engineering Technology Research Pub Date : 2024-02-19 DOI: 10.56028/aetr.9.1.791.2024
Yao Yao, Chao Han, Zijun Guo, Jin Dai, Bichen Zhou
{"title":"Preparation and Properties of Graphene Flexible Membrane","authors":"Yao Yao, Chao Han, Zijun Guo, Jin Dai, Bichen Zhou","doi":"10.56028/aetr.9.1.791.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.791.2024","url":null,"abstract":"Graphene material has excellent electrical, thermal and mechanical properties, and the flexible film prepared by it can be widely used in intelligent wearables, industrial temperature control, biomedicine, home heating and other fields. In this paper, graphene paste was used to prepare textile substrate and non-substrate graphene flexible film, and its tensile strength, elongation at break, resistivity, hardness, modulus and other parameters were tested. The results show that the graphene flexible film has smooth appearance, good electrical conductivity and good mechanical strength, and is a good choice for smart wear and industrial parts gasket applications.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"178 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140451820","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
Firing Accuracy in Rotor Dynamics Prediction of Unbalanced Mass and Bearing Clearance 不平衡质量和轴承间隙在转子动力学预测中的点火精度
Advances in Engineering Technology Research Pub Date : 2024-02-19 DOI: 10.56028/aetr.9.1.803.2024
Jian Xu, Zhen Yang, Wanchuan Liu
{"title":"Firing Accuracy in Rotor Dynamics Prediction of Unbalanced Mass and Bearing Clearance","authors":"Jian Xu, Zhen Yang, Wanchuan Liu","doi":"10.56028/aetr.9.1.803.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.803.2024","url":null,"abstract":"The XYZ center of gravity of the barrel part of the M134 Gatling gun and the components composed of bullets was calculated from the five types of clearances between the bearings without clearance to the bearings with clearance. According to the calculation of five clearances, the angle deviation is about 11.50, and based on the target of 3000m, the sideflight is about 600 meters. From the perspective of Gatling weapons, it has been officially determined that transfer weapons must primarily rely on surface killing.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"16 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450874","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 Flare Burner for Venting in Gas Transmission Station 输气站排气用火炬燃烧器研究
Advances in Engineering Technology Research Pub Date : 2024-02-19 DOI: 10.56028/aetr.9.1.809.2024
Xiangmin Dong, Nanxi Zhai, Xuan Liu, Qin Zhang, Weihao Li
{"title":"Research on Flare Burner for Venting in Gas Transmission Station","authors":"Xiangmin Dong, Nanxi Zhai, Xuan Liu, Qin Zhang, Weihao Li","doi":"10.56028/aetr.9.1.809.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.809.2024","url":null,"abstract":"With the widespread application of natural gas, the venting of remaining natural gas is an issue that cannot be ignored. Direct venting causes serious environmental pollution, so thermal venting, also known as combustion venting, has become an important way to solve environmental pollution problems. This simulation first established two different types of burners, cluster and array, to quantitatively analyze the flame combustion characteristics. It simulated the distribution patterns of velocity, temperature, and key component concentrations of the two burners under the same number of holes and fuel flow rate. The research results indicate that due to the existence of oblique jet flow in the converging and array types, a reflux zone is formed at the outlet of the diffuser, and natural gas and air are mixed more thoroughly, resulting in a more stable flame. By comparing the burnout rate and combustion failure rate of the two types of burners, it was found that the convergent flame height and residual natural gas content during combustion were the lowest, resulting in better combustion efficiency. On this basis, while ensuring the same flow rate, the number of converging combustion holes was increased, the model parameters were improved, and it was found that the flame height was further reduced. At the same time, while maintaining the combustion removal rate, the burnout rate was improved. The development of the above-mentioned flare burner is of great significance in improving combustion efficiency, reducing flame height, and reducing environmental pollution caused by venting.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"30 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450940","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
An Exploration of Customer Segmentation Methods Based on Clustering Algorithm in the Context of Big Data 大数据背景下基于聚类算法的客户细分方法探讨
Advances in Engineering Technology Research Pub Date : 2024-02-19 DOI: 10.56028/aetr.9.1.837.2024
Wenbo Zhao
{"title":"An Exploration of Customer Segmentation Methods Based on Clustering Algorithm in the Context of Big Data","authors":"Wenbo Zhao","doi":"10.56028/aetr.9.1.837.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.837.2024","url":null,"abstract":"Accompanied by the continuous development of big data technology, various industries are well aware of the advantages of big data, which are widely used in customer service work, especially in the support of customer segmentation work, and have achieved good results. In this paper, for the problems of large fluctuation of clustering results and low clustering purity in the traditional data mining process, the big data precision mining technology with improved clustering algorithm is proposed. And it is applied in the field of customer segmentation, and the experimental results show that the improved clustering algorithm is applied in customer segmentation, the result curve fluctuation amplitude is small, and the clustering purity is significantly higher than the traditional algorithm.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"292 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140451133","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 Public Vehicle Evacuation Path Planning Model Based on Spatiotemporal Network 基于时空网络的公共车辆疏散路径规划模型研究
Advances in Engineering Technology Research Pub Date : 2024-02-19 DOI: 10.56028/aetr.9.1.826.2024
Wenxuan Zhang, Zhengwei Lin, Ziyang Wang, Yipu Huang, Haoyuan Shi, Ying Li
{"title":"Research on Public Vehicle Evacuation Path Planning Model Based on Spatiotemporal Network","authors":"Wenxuan Zhang, Zhengwei Lin, Ziyang Wang, Yipu Huang, Haoyuan Shi, Ying Li","doi":"10.56028/aetr.9.1.826.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.826.2024","url":null,"abstract":"This study aims to improve the efficiency of public vehicle evacuation during large-scale disasters by minimizing travel and waiting times for individuals and vehicles. To accomplish this, an S-curve behavior model was used to estimate evacuation demand, and a network model was developed to consider temporal and spatial factors of gathering points. A hybrid genetic algorithm and simulated annealing approach were utilized with an \"enumerate then optimize\" strategy and a step to temporarily retain optimal solutions for refinement. The effectiveness of the proposed model and algorithms was demonstrated in a case study of a typhoon evacuation in Chikan District, providing valuable insights for urban evacuation planning.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450758","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
Short Text Classification Model based on Pre-trained Language Model with Feature Fusion 基于预训练语言模型与特征融合的短文分类模型
Advances in Engineering Technology Research Pub Date : 2024-01-25 DOI: 10.56028/aetr.9.1.534.2024
Haihui Huang, Shiyang Hu
{"title":"Short Text Classification Model based on Pre-trained Language Model with Feature Fusion","authors":"Haihui Huang, Shiyang Hu","doi":"10.56028/aetr.9.1.534.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.534.2024","url":null,"abstract":" In response to the low accuracy of Chinese short text classification in the current data mining field and the defects of existing deep learning models with more model parameters and higher time complexity, this paper proposes a new text classification model - short text classification model (ACBSM) based on pre-trained language model with feature expansion. In ACBSM, to address the problem of high dimensionality of text data without accurate text representation, the Bert model is used to train word vector representation to solve the problem of multiple meanings of a word. From the parallelization acceleration level, a parallel acceleration strategy of two-channel neural network is designed to improve the efficiency of the algorithm in processing massive data. To address the sparsity of text data and the more complex semantics, an attention mechanism is introduced and a CNN model is used to enhance the extraction of keyword information; secondly, BiSRU is used to capture the contextual features of the text, and finally, experimental validation is conducted on a news dataset. The experimental results show that ACBSM improves the accuracy of text classification to 95.83% under the same environment and dataset, and its classification performance is better than other text classification methods.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"39 9-10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140496288","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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