Advances in Computer and Engineering Technology Research最新文献

Location and Distribution Decision of Emergency Logistics Network under Uncertain Demand Distributions 不确定需求分布下的应急物流网络选址与配送决策

Advances in Computer and Engineering Technology Research Pub Date : 2024-06-06 DOI: 10.61935/acetr.3.1.2024.p1

Ziqi Liu, Fei Wen, Dali Zhang, Shuang Hao

引用次数: 0

Cargo volume prediction of logistics sorting center based on GCN-BiLSTM 基于 GCN-BiLSTM 的物流分拣中心货运量预测

Advances in Computer and Engineering Technology Research Pub Date : 2024-06-06 DOI: 10.61935/acetr.3.1.2024.p10

Huihui Guo, Yuehao Yang, Lishuo An

引用次数: 0

Research on the Current Status of Light Supplementation Technology for Dragon Fruit 火龙果补光技术现状研究

Advances in Computer and Engineering Technology Research Pub Date : 2024-06-06 DOI: 10.61935/acetr.3.1.2024.p17

Xiaoyan Yang, Mancheng Xie, Di Zhu, Zimin Chen, Xiaoxuan Guo, Tonghe Wang

{"title":"Research on the Current Status of Light Supplementation Technology for Dragon Fruit","authors":"Xiaoyan Yang, Mancheng Xie, Di Zhu, Zimin Chen, Xiaoxuan Guo, Tonghe Wang","doi":"10.61935/acetr.3.1.2024.p17","DOIUrl":"https://doi.org/10.61935/acetr.3.1.2024.p17","url":null,"abstract":"Dragon fruit has a good market prospect for its good taste and high nutritional value. At the same time, since its planting conditions are easy to meet, dragon fruit is widely planted in many regions of China. However, the problem of insufficient sunlight in spring and winter still leads to an insufficient supply of dragon fruit production. To improve the quality as well as the annual supply cycle of dragon fruit fresh fruit, and improve the economic benefits of dragon fruit cultivation, fruit growers generally use artificial light supplementation technology to regulate the flowering cycle of dragon fruit to prolong the production period. This paper reviews the impact of different light qualities, light intensities, and photoperiod on the production and quality of dragon fruit, and summarizes the shortcomings of the existing supplementation technology. The feasibility of the combination of photovoltaic, energy storage, and dragon fruit light supplementation technology is also comprehensively analyzed, and the outlook is put forward, aiming to provide a direction for the further development of dragon fruit light supplementation technology.","PeriodicalId":503577,"journal":{"name":"Advances in Computer and Engineering Technology Research","volume":"133 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376099","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

Numerical Simulation of Fire in Library Atrium Based on FDS 基于 FDS 的图书馆中庭火灾数值模拟

Advances in Computer and Engineering Technology Research Pub Date : 2024-04-18 DOI: 10.61935/acetr.2.1.2024.p546

Guilin Ling, Ning Wang, Fei You

引用次数: 0

Research and Application of Diesel Engine Turbocharging Technology in Plateau Environment 高原环境下柴油机涡轮增压技术的研究与应用

Advances in Computer and Engineering Technology Research Pub Date : 2024-04-18 DOI: 10.61935/acetr.2.1.2024.p441

Fengjun Qi, Changting Li, Zaiqiang Miao

引用次数: 0

Experimental Performance of Filling Material with Modified Red Mud for Roadbed 路基用改性红泥填充材料的试验性能

Advances in Computer and Engineering Technology Research Pub Date : 2024-04-18 DOI: 10.61935/acetr.2.1.2024.p300

Chang Li, Junying Rao, Hao Peng, Hongchao Cui

引用次数: 0

A Metro Passenger Flow Forecasting Model Based On Time-series Evolving Interaction Graph Network 基于时间序列演化交互图网络的地铁客流预测模型

Advances in Computer and Engineering Technology Research Pub Date : 2024-04-18 DOI: 10.61935/acetr.2.1.2024.p353

Jianming Han, Pei Li, Long Li, Yingdi Li, Hantao Zhao

{"title":"A Metro Passenger Flow Forecasting Model Based On Time-series Evolving Interaction Graph Network","authors":"Jianming Han, Pei Li, Long Li, Yingdi Li, Hantao Zhao","doi":"10.61935/acetr.2.1.2024.p353","DOIUrl":"https://doi.org/10.61935/acetr.2.1.2024.p353","url":null,"abstract":"Passenger flow forecasting is an important task in metro operation management. In order to achieve more accurate metro passenger flow forecasting, this paper proposes a metro passenger flow forecasting model based on time-series evolution interaction graph. First, by introducing two kinds of inter-station interaction graphs, namely connectivity graph and temporal correlation graph, to capture the potential interaction relationship among metro passenger flow stations. Then, by using the time-series evolving graph, the weights of the graph convolutional neural network are dynamically evolved in time series. Finally, taking Suzhou Metro as an example, the short-term passenger flow of the metro is forecasted. The experimental results show that the Root Mean Squared Error (RMSE) of this model is 34.17, the Mean Absolute Error (MAE) is 16.35, the R-Squared is 0.94, the Mean Absolute Percent Error (MAPE) is 0.21. All evaluation metrics are better than the baseline models, thus verifying the effectiveness and applicability of the metro passenger flow forecasting model based on the time series evolution interaction graph.","PeriodicalId":503577,"journal":{"name":"Advances in Computer and Engineering Technology Research","volume":" 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140687975","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 scheduling optimization of prefabricated components for assembly buildings 装配式建筑预制构件的智能调度优化

Advances in Computer and Engineering Technology Research Pub Date : 2024-04-18 DOI: 10.61935/acetr.2.1.2024.p19

Erlei Liang, Dongling Jiang, Chengling Liu, Tingyu Duan

引用次数: 0

Discourse Analysis and Guidance Strategies for Network Groups Based on Computer-aided Technology 基于计算机辅助技术的网络群体话语分析与指导策略

Advances in Computer and Engineering Technology Research Pub Date : 2024-04-18 DOI: 10.61935/acetr.2.1.2024.p58

Chi Jiang

{"title":"Discourse Analysis and Guidance Strategies for Network Groups Based on Computer-aided Technology","authors":"Chi Jiang","doi":"10.61935/acetr.2.1.2024.p58","DOIUrl":"https://doi.org/10.61935/acetr.2.1.2024.p58","url":null,"abstract":"With the development of social media, discourse analysis of online group interaction has gradually become a research hotspot. The research results in this field will provide reference and guidance for promoting the benign development of social networking. This paper aims to explore the application of computer-aided technology in online group discourse analysis and guidance strategies. Taking the social media platform as an example, this paper analyzes the online group discourse by using natural language processing technology and other computer-aided technologies and networking and analysis methods, and designs effective guiding strategies. The results show that computer-aided technology can bring significant advantages to online group discourse analysis and guidance strategies. Specifically, it can promote the decision-making of administrators, grasp the emotional needs and concerns of network groups, and formulate guidance strategies more adaptively. At the same time, combining computer-aided technology with networking and analysis methods is also one of the important trends of discourse analysis and guidance strategies in the future. Generally speaking, the application of computer-aided technology will bring more extensive, in-depth and accurate online group discourse analysis and guidance strategies, and promote the healthy development of online socialization.","PeriodicalId":503577,"journal":{"name":"Advances in Computer and Engineering Technology Research","volume":" 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140689289","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

Optical fiber sensing and tensor AP clustering for high-speed road tunnel vehicle detection 用于高速路隧道车辆检测的光纤传感和张量 AP 聚类技术

Advances in Computer and Engineering Technology Research Pub Date : 2024-04-18 DOI: 10.61935/acetr.2.1.2024.p159

Heng Li, Ziyang Feng, Shaohua Xu, Mingde Zheng, Wentao Zhang, Feiyu Zheng

{"title":"Optical fiber sensing and tensor AP clustering for high-speed road tunnel vehicle detection","authors":"Heng Li, Ziyang Feng, Shaohua Xu, Mingde Zheng, Wentao Zhang, Feiyu Zheng","doi":"10.61935/acetr.2.1.2024.p159","DOIUrl":"https://doi.org/10.61935/acetr.2.1.2024.p159","url":null,"abstract":"Aiming at the problems of signal acquisition, feature extraction and vehicle recognition in highway tunnel vehicle detection, a new tunnel vehicle detection method is proposed by combining optical time-domain reflectometry distributed fiber sensing technology and tensor affine propagation clustering algorithm. Firstly, the distributed optical fiber system designed by optical time domain reflectometry was used to collect the running signals of tunnel vehicles and obtain the measurement data. Secondly, a high-order tensor sample set is constructed by using the spatial resolution of optical fiber as channel number and combining the feature number, time domain and frequency domain. Finally, tensor affine propagation clustering method and other clustering methods are used to test the accuracy. The test results show that the proposed method can better classify vehicles without destroying the original high-dimensional data structure. Meanwhile, the unsupervised clustering algorithm also reduces manual intervention in the identification process, increases the intelligence level of the whole vehicle detection model, and effectively improves the detection accuracy rate of tunnel vehicles.","PeriodicalId":503577,"journal":{"name":"Advances in Computer and Engineering Technology Research","volume":" 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140690447","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