首页 > 最新文献

Frontiers in Computing and Intelligent Systems最新文献

英文 中文
Research on Vegetable Commodity Pricing and Replenishment based on Planning Models and Genetic Algorithm 基于规划模型和遗传算法的蔬菜商品定价与补货研究
Pub Date : 2023-11-14 DOI: 10.54097/fcis.v5i3.13861
Tao Chen, Zikun Luo, Jinhui Liu
This paper focuses on an in-depth study of supermarket vegetable pricing and replenishment problems, utilizing a variety of methods such as statistics, prediction models, planning models and other methods of analysis. First, the data were preprocessed, and frequency distribution histograms were drawn, revealing the distribution pattern and correlation between each category and each single product of vegetables through descriptive statistical analysis. Secondly, for the relationship between sales and pricing, the sales unit price was averaged through the cost-plus pricing formula, and MATLAB was used to nonlinearly fit the relationship between the total sales volume of the categories and the sales price, and the fitting result was further optimized through neural network, and a nonlinear planning model was established, and a genetic algorithm was used to solve the daily replenishment volume of supermarkets and the pricing strategy in order to achieve the maximization of revenue. Finally, the top-rated individual products were screened out by entropy weighting method, and a linear programming model was established to predict the replenishment quantity and pricing strategy for the coming day, which further provided effective decision support for the sales management of the supermarket.
本文主要利用统计学、预测模型、计划模型等多种分析方法,对超市蔬菜定价与补货问题进行了深入研究。首先,对数据进行预处理,绘制频数分布直方图,通过描述性统计分析揭示蔬菜各品类、各单品之间的分布规律和相关性。其次,针对销售额与定价之间的关系,通过成本加成定价公式对销售单价进行平均,利用 MATLAB 对品类总销售量与销售价格之间的关系进行非线性拟合,并通过神经网络对拟合结果进一步优化,建立非线性规划模型,利用遗传算法求解超市的日补货量和定价策略,以实现收益最大化。最后,通过熵权法筛选出排名靠前的单品,建立线性规划模型,预测来日的补货量和定价策略,进一步为超市的销售管理提供有效的决策支持。
{"title":"Research on Vegetable Commodity Pricing and Replenishment based on Planning Models and Genetic Algorithm","authors":"Tao Chen, Zikun Luo, Jinhui Liu","doi":"10.54097/fcis.v5i3.13861","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.13861","url":null,"abstract":"This paper focuses on an in-depth study of supermarket vegetable pricing and replenishment problems, utilizing a variety of methods such as statistics, prediction models, planning models and other methods of analysis. First, the data were preprocessed, and frequency distribution histograms were drawn, revealing the distribution pattern and correlation between each category and each single product of vegetables through descriptive statistical analysis. Secondly, for the relationship between sales and pricing, the sales unit price was averaged through the cost-plus pricing formula, and MATLAB was used to nonlinearly fit the relationship between the total sales volume of the categories and the sales price, and the fitting result was further optimized through neural network, and a nonlinear planning model was established, and a genetic algorithm was used to solve the daily replenishment volume of supermarkets and the pricing strategy in order to achieve the maximization of revenue. Finally, the top-rated individual products were screened out by entropy weighting method, and a linear programming model was established to predict the replenishment quantity and pricing strategy for the coming day, which further provided effective decision support for the sales management of the supermarket.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139276533","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
Using IGMP Protocol to Improve the Latency of Cloud Computing 使用 IGMP 协议改善云计算的延迟
Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14055
Jing Zhong
To solve the problem of network latency of cloud computing, organizations usually use the edge computing, which means shorter physical distance from the client, or the parallel computing method, which means separate the task to multi cloud servers. However, these two major solutions do not effectively solve the problem of network latency caused by multiple clients accessing the same resources. In this paper, a new strategy is proposed based on the operation mode of Internet Group Management Protocol (IGMP) to solve the networks latency and waste of network resources caused by multiple clients’ access. This paper would perform the comparison tasks by using Amazon Web Services (AWS). To show the differences, there would be a simulated test of 1000 clients who are trying to access cloud resources from one cloud server. By comparing the total time of 1000 clients receiving their resources, the original group takes 5309 seconds for the cloud server to process the tasks. The test group takes 5034 seconds for the cloud server to process the tasks, which is about 5.68% improvement. Through the research, the conclusion is that if cloud resources are partition properly, the grouping strategy could effectively alleviate the networks latency problem of multiple clients.
为了解决云计算的网络延迟问题,企业通常采用边缘计算,即缩短与客户端的物理距离;或者采用并行计算方法,即把任务分给多个云服务器。然而,这两种主要的解决方案并不能有效解决多个客户端访问同一资源所造成的网络延迟问题。本文提出了一种基于互联网组管理协议(IGMP)运行模式的新策略,以解决多客户端访问造成的网络延迟和网络资源浪费问题。本文将使用亚马逊网络服务(AWS)执行比较任务。为显示差异,将对试图从一台云服务器访问云资源的 1000 个客户端进行模拟测试。通过比较 1000 个客户接收资源的总时间,原始组的云服务器处理任务需要 5309 秒。测试组的云服务器处理任务的时间为 5034 秒,提高了约 5.68%。通过研究,结论是如果云资源分区合理,分组策略可以有效缓解多客户端的网络延迟问题。
{"title":"Using IGMP Protocol to Improve the Latency of Cloud Computing","authors":"Jing Zhong","doi":"10.54097/fcis.v5i3.14055","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.14055","url":null,"abstract":"To solve the problem of network latency of cloud computing, organizations usually use the edge computing, which means shorter physical distance from the client, or the parallel computing method, which means separate the task to multi cloud servers. However, these two major solutions do not effectively solve the problem of network latency caused by multiple clients accessing the same resources. In this paper, a new strategy is proposed based on the operation mode of Internet Group Management Protocol (IGMP) to solve the networks latency and waste of network resources caused by multiple clients’ access. This paper would perform the comparison tasks by using Amazon Web Services (AWS). To show the differences, there would be a simulated test of 1000 clients who are trying to access cloud resources from one cloud server. By comparing the total time of 1000 clients receiving their resources, the original group takes 5309 seconds for the cloud server to process the tasks. The test group takes 5034 seconds for the cloud server to process the tasks, which is about 5.68% improvement. Through the research, the conclusion is that if cloud resources are partition properly, the grouping strategy could effectively alleviate the networks latency problem of multiple clients.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"230 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139288813","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
Real Time Detection Algorithm for Escape Ladders based on YOLOv5s 基于 YOLOv5s 的逃生梯实时检测算法
Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14021
Sheng Jin
In the detection of escape ladders in the context of smart construction sites, due to the relatively small target size of the escape ladder compared to the entire input image frame, significant environmental interference, and high missed detection and false detection rates, an improved YOLOv5s escape ladder real-time detection algorithm is proposed by combining the attention mechanism network. The model uses CSPLocknet53 as the backbone network for feature extraction, introduces the attention module CA, and integrates spatial and channel information, while increasing a small amount of computation, performance has been significantly improved. Optimize the network structure of YOLOv5s algorithm, strengthen shallow feature weights to enhance small target detection effectiveness, add attention mechanisms to increase the weight of small targets and their surrounding features, and use Mosaic methods for data augmentation to improve detection accuracy and recall. After multiple repeated experiments, these experimental results have proven that the optimized YOLOv5s algorithm for real-time detection of escape ladders has an average detection accuracy (accuracy, recall) of (81.8, 82.6). Compared with the traditional YOLOv5s algorithm, the accuracy and recall have been improved by 1.4% and 1.2%, respectively. The optimized YOLOv5s algorithm can effectively improve the detection accuracy of real-time detection of escape ladders, and improve the detection and resolution performance of small escape ladder targets.
在智慧工地背景下的逃生梯检测中,由于逃生梯的目标尺寸相对于整个输入图像帧较小,环境干扰明显,漏检率和误检率较高,结合注意力机制网络,提出了一种改进的YOLOv5s逃生梯实时检测算法。该模型以CSPLocknet53作为特征提取的骨干网络,引入注意力模块CA,整合空间信息和通道信息,在增加少量计算量的同时,性能得到显著提升。优化YOLOv5s算法的网络结构,加强浅层特征权重以提高小目标检测效果,增加注意力机制以提高小目标及其周围特征的权重,并使用Mosaic方法进行数据扩增以提高检测精度和召回率。经过多次重复实验,这些实验结果证明,优化后的逃生梯实时检测 YOLOv5s 算法的平均检测精度(准确率、召回率)为(81.8、82.6)。与传统的 YOLOv5s 算法相比,准确率和召回率分别提高了 1.4% 和 1.2%。优化后的 YOLOv5s 算法能有效提高逃生梯实时检测的检测精度,改善小型逃生梯目标的检测和解析性能。
{"title":"Real Time Detection Algorithm for Escape Ladders based on YOLOv5s","authors":"Sheng Jin","doi":"10.54097/fcis.v5i3.14021","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.14021","url":null,"abstract":"In the detection of escape ladders in the context of smart construction sites, due to the relatively small target size of the escape ladder compared to the entire input image frame, significant environmental interference, and high missed detection and false detection rates, an improved YOLOv5s escape ladder real-time detection algorithm is proposed by combining the attention mechanism network. The model uses CSPLocknet53 as the backbone network for feature extraction, introduces the attention module CA, and integrates spatial and channel information, while increasing a small amount of computation, performance has been significantly improved. Optimize the network structure of YOLOv5s algorithm, strengthen shallow feature weights to enhance small target detection effectiveness, add attention mechanisms to increase the weight of small targets and their surrounding features, and use Mosaic methods for data augmentation to improve detection accuracy and recall. After multiple repeated experiments, these experimental results have proven that the optimized YOLOv5s algorithm for real-time detection of escape ladders has an average detection accuracy (accuracy, recall) of (81.8, 82.6). Compared with the traditional YOLOv5s algorithm, the accuracy and recall have been improved by 1.4% and 1.2%, respectively. The optimized YOLOv5s algorithm can effectively improve the detection accuracy of real-time detection of escape ladders, and improve the detection and resolution performance of small escape ladder targets.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"136 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139288960","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
FPGA Hardware Acceleration Research and Implementation of Deep Learning Algorithms 深度学习算法的 FPGA 硬件加速研究与实现
Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14040
Yuxuan Hu
The convolutional neural network model is an important algorithm for deep learning, and YOLOv3-tiny based on this model has excellent object detection ability. However, the computational power required by the model is still large, and it is difficult to realize the application in the embedded field. This paper proposes a hardware acceleration method for YOLOv3-tiny and implements it on FPGA platform. Firstly, the fixed-point quantitative processing was carried out for the network, and an appropriate fixed-point strategy was designed with the data accuracy as the index. Secondly, the parallel computing design and pipeline optimization principle were carried out, and the FIFO structure was introduced to shorten the running time. Finally, the experiment was carried out on the Xilinx PYNQ-Z2 platform, and the data were compared with the previous related work.
卷积神经网络模型是深度学习的重要算法,基于该模型的 YOLOv3-tiny 具有出色的物体检测能力。然而,该模型所需的计算能力仍然较大,难以在嵌入式领域实现应用。本文提出了一种 YOLOv3-tiny 的硬件加速方法,并在 FPGA 平台上实现。首先,对网络进行定点定量处理,以数据精度为指标设计了合适的定点策略。其次,进行了并行计算设计和流水线优化原理,并引入先进先出结构以缩短运行时间。最后,在 Xilinx PYNQ-Z2 平台上进行了实验,并将实验数据与之前的相关工作进行了对比。
{"title":"FPGA Hardware Acceleration Research and Implementation of Deep Learning Algorithms","authors":"Yuxuan Hu","doi":"10.54097/fcis.v5i3.14040","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.14040","url":null,"abstract":"The convolutional neural network model is an important algorithm for deep learning, and YOLOv3-tiny based on this model has excellent object detection ability. However, the computational power required by the model is still large, and it is difficult to realize the application in the embedded field. This paper proposes a hardware acceleration method for YOLOv3-tiny and implements it on FPGA platform. Firstly, the fixed-point quantitative processing was carried out for the network, and an appropriate fixed-point strategy was designed with the data accuracy as the index. Secondly, the parallel computing design and pipeline optimization principle were carried out, and the FIFO structure was introduced to shorten the running time. Finally, the experiment was carried out on the Xilinx PYNQ-Z2 platform, and the data were compared with the previous related work.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139288977","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
Image Retrieval based on Deep Learning 基于深度学习的图像检索
Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14054
Yuru Gao
With the rapid growth of image data, how to efficiently and accurately extract useful features from massive image data and perform fast image retrieval has become an important research direction. This study focuses on the design and training of deep learning-based image feature extraction networks to improve the robustness and generalization of image features by optimizing the network structure and loss function. In order to evaluate the performance of the system, this study also designs appropriate evaluation indicators and conducts corresponding experiments. Through experimental verification, the results show that these methods can effectively improve the performance of image feature extraction and image retrieval, and have broad potential in practical applications.
随着图像数据的快速增长,如何从海量图像数据中高效、准确地提取有用特征并进行快速图像检索已成为一个重要的研究方向。本研究重点关注基于深度学习的图像特征提取网络的设计和训练,通过优化网络结构和损失函数,提高图像特征的鲁棒性和泛化能力。为了评价系统的性能,本研究还设计了相应的评价指标,并进行了相应的实验。通过实验验证,结果表明这些方法能有效提高图像特征提取和图像检索的性能,在实际应用中具有广阔的潜力。
{"title":"Image Retrieval based on Deep Learning","authors":"Yuru Gao","doi":"10.54097/fcis.v5i3.14054","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.14054","url":null,"abstract":"With the rapid growth of image data, how to efficiently and accurately extract useful features from massive image data and perform fast image retrieval has become an important research direction. This study focuses on the design and training of deep learning-based image feature extraction networks to improve the robustness and generalization of image features by optimizing the network structure and loss function. In order to evaluate the performance of the system, this study also designs appropriate evaluation indicators and conducts corresponding experiments. Through experimental verification, the results show that these methods can effectively improve the performance of image feature extraction and image retrieval, and have broad potential in practical applications.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"77 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139289133","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
On Development of Metaverse and Digital Ecology Safety 论元宇宙与数字生态安全的发展
Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14008
Qiangchun Wang
The metaverse is not just an extension of physical life into the digital realm but a profound change in the new generation of the digital realm. The metaverse is the future integration of all elements, including the Internet, artificial intelligence, virtual reality, immersive experience, blockchain technology, Internet of Things, Internet of Body, cloud computing, and virtual twins. Several dimensions, such as object, subject, time, entity, and virtuality, can divide the metaverse into four primary forms: augmented reality, life log, virtual twin, and virtual reality. The metaverse means that more and more of our lives, labor, leisure, time, wealth, happiness, and relationships will be spent in virtual worlds. The problems in the cloud universe include the illegal collection of private data, violation of personal rights, digital human evil, data security, increased digital divide, robot evil, artificial intelligence discrimination, health issues, and the gamification of life. It is the direction to build the metaverse, keep the digital ecological environment pleasant, and promote the overall development of humanity.
元宇宙不仅仅是实体生活向数字领域的延伸,更是新一代数字领域的深刻变革。元宇宙是未来互联网、人工智能、虚拟现实、沉浸式体验、区块链技术、物联网、体联网、云计算、虚拟双胞胎等所有元素的融合。从客体、主体、时间、实体和虚拟性等几个维度,可以将元宇宙分为四种主要形态:增强现实、生活日志、虚拟双胞胎和虚拟现实。元宇宙意味着我们越来越多的生活、劳动、休闲、时间、财富、幸福和人际关系都将在虚拟世界中度过。云宇宙中存在的问题包括非法收集私人数据、侵犯个人权利、数字人性之恶、数据安全、数字鸿沟加剧、机器人之恶、人工智能歧视、健康问题、生活游戏化等。构建元宇宙,保持宜人的数字生态环境,促进人类的全面发展,是我们努力的方向。
{"title":"On Development of Metaverse and Digital Ecology Safety","authors":"Qiangchun Wang","doi":"10.54097/fcis.v5i3.14008","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.14008","url":null,"abstract":"The metaverse is not just an extension of physical life into the digital realm but a profound change in the new generation of the digital realm. The metaverse is the future integration of all elements, including the Internet, artificial intelligence, virtual reality, immersive experience, blockchain technology, Internet of Things, Internet of Body, cloud computing, and virtual twins. Several dimensions, such as object, subject, time, entity, and virtuality, can divide the metaverse into four primary forms: augmented reality, life log, virtual twin, and virtual reality. The metaverse means that more and more of our lives, labor, leisure, time, wealth, happiness, and relationships will be spent in virtual worlds. The problems in the cloud universe include the illegal collection of private data, violation of personal rights, digital human evil, data security, increased digital divide, robot evil, artificial intelligence discrimination, health issues, and the gamification of life. It is the direction to build the metaverse, keep the digital ecological environment pleasant, and promote the overall development of humanity.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139288697","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 the Aided Design System of Linear Conveyor Equipment based on Haochen CAD 基于浩辰 CAD 的直线输送设备辅助设计系统研究
Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14015
Fufu Zhang, Tianxing Chen
In the design process of linear conveyors, in order to ensure the accuracy of the specifications and dimensions of each product, a large amount of drawing design work is required. In order to improve drawing efficiency and reduce human errors, this paper designs a parametric auxiliary design system for linear conveyors. By organizing and analyzing the non-standard size change rules of aviation logistics transportation equipment, and based on the .net4.8 framework, using C# language for secondary development of CAD software, in response to the call for national industrial software localization, this study selected the domestic CAD software Haochen CAD as the platform. Through system testing, this system can quickly generate non-standard part drawings through parameter input, improving drawing efficiency while reducing drawing error rates.
在直线输送机的设计过程中,为了保证每个产品规格和尺寸的准确性,需要进行大量的图纸设计工作。为了提高制图效率,减少人为误差,本文设计了直线输送机参数化辅助设计系统。通过整理分析航空物流运输设备的非标尺寸变化规律,基于.net4.8框架,采用C#语言对CAD软件进行二次开发,响应国家工业软件国产化的号召,本研究选用国产CAD软件浩辰CAD作为平台。通过系统测试,该系统可以通过参数输入快速生成非标准零件图,在提高绘图效率的同时降低绘图错误率。
{"title":"Research on the Aided Design System of Linear Conveyor Equipment based on Haochen CAD","authors":"Fufu Zhang, Tianxing Chen","doi":"10.54097/fcis.v5i3.14015","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.14015","url":null,"abstract":"In the design process of linear conveyors, in order to ensure the accuracy of the specifications and dimensions of each product, a large amount of drawing design work is required. In order to improve drawing efficiency and reduce human errors, this paper designs a parametric auxiliary design system for linear conveyors. By organizing and analyzing the non-standard size change rules of aviation logistics transportation equipment, and based on the .net4.8 framework, using C# language for secondary development of CAD software, in response to the call for national industrial software localization, this study selected the domestic CAD software Haochen CAD as the platform. Through system testing, this system can quickly generate non-standard part drawings through parameter input, improving drawing efficiency while reducing drawing error rates.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139289205","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
Study on Water Purification of Freshwater Aquaculture Pond based on Correlation Analysis 基于相关分析的淡水养殖池塘水质净化研究
Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14037
Mengying Cai
Nowadays, pond culture is the main form of freshwater culture in China. However, with the aggravation of water pollution and eutrophication of freshwater ecosystem, it is easy to cause pond water bloom. Water bloom will not only reduce the biodiversity of ponds, but also consume dissolved oxygen and produce toxic and harmful substances, which is of great harm to pond aquaculture. By studying the relationship between the main physical and chemical factors in freshwater aquaculture ponds, this paper studies the causes of water bloom, so as to improve the yield of pond culture and enhance everyone's awareness of environmental protection.
目前,池塘养殖是我国淡水养殖的主要形式。然而,随着水污染的加剧和淡水生态系统的富营养化,极易引起池塘水华。水华不仅会降低池塘的生物多样性,还会消耗溶解氧,产生有毒有害物质,对池塘养殖危害极大。本文通过研究淡水养殖池塘主要理化因子之间的关系,研究水华产生的原因,从而提高池塘养殖产量,增强大家的环保意识。
{"title":"Study on Water Purification of Freshwater Aquaculture Pond based on Correlation Analysis","authors":"Mengying Cai","doi":"10.54097/fcis.v5i3.14037","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.14037","url":null,"abstract":"Nowadays, pond culture is the main form of freshwater culture in China. However, with the aggravation of water pollution and eutrophication of freshwater ecosystem, it is easy to cause pond water bloom. Water bloom will not only reduce the biodiversity of ponds, but also consume dissolved oxygen and produce toxic and harmful substances, which is of great harm to pond aquaculture. By studying the relationship between the main physical and chemical factors in freshwater aquaculture ponds, this paper studies the causes of water bloom, so as to improve the yield of pond culture and enhance everyone's awareness of environmental protection.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139288726","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
Receiving ADS-B Signals on Embedded Linux using RTL-SDR: A Practical Guide 使用 RTL-SDR 在嵌入式 Linux 上接收 ADS-B 信号:实用指南
Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14059
Songyin Tan, Hongping Pu
This paper presents a solution for ADS-B signal reception with RTL-SDR based on embedded Linux. This system utilizes an inexpensive RTL-SDR radio receiver for real-time reading of aeronautical messages, and it is experimentally demonstrated that this combination provides a significantly cost-effective way to track aircraft. By using an embedded Linux system, this paper demonstrates the high degree of portability and automation that can be achieved with RTL-SDR and its built-in ADS-B signal reception capability. The solution can be used in a wide range of applications and has high practical value.
本文介绍了一种基于嵌入式 Linux 的 RTL-SDR ADS-B 信号接收解决方案。该系统利用廉价的 RTL-SDR 无线电接收器实时读取航空信息,并通过实验证明这种组合提供了一种极具成本效益的跟踪飞机的方法。通过使用嵌入式 Linux 系统,本文展示了 RTL-SDR 及其内置的 ADS-B 信号接收功能可实现的高度便携性和自动化。该解决方案应用广泛,具有很高的实用价值。
{"title":"Receiving ADS-B Signals on Embedded Linux using RTL-SDR: A Practical Guide","authors":"Songyin Tan, Hongping Pu","doi":"10.54097/fcis.v5i3.14059","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.14059","url":null,"abstract":"This paper presents a solution for ADS-B signal reception with RTL-SDR based on embedded Linux. This system utilizes an inexpensive RTL-SDR radio receiver for real-time reading of aeronautical messages, and it is experimentally demonstrated that this combination provides a significantly cost-effective way to track aircraft. By using an embedded Linux system, this paper demonstrates the high degree of portability and automation that can be achieved with RTL-SDR and its built-in ADS-B signal reception capability. The solution can be used in a wide range of applications and has high practical value.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"266 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139288938","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 Expressway Pavement Crack Detection based on Improved YOLOv5s 基于改进型 YOLOv5s 的高速公路路面裂缝检测研究
Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14020
Chunlin He, Jiaye Wu, Yujie Yang
In order to address the issues of missed detection, false detection, and low accuracy of current road cracks, we propose a road crack recognition model based on improved YOLOv5. Firstly, add a CBAM attention module to the backbone network to enhance feature extraction capabilities; Then, a weighted bidirectional feature pyramid (BiFPN) is incorporated into the model for multi-scale feature fusion, replacing the traditional feature pyramid (FPN)+pixel aggregation network (PAN) structure to enhance feature fusion. The experimental results indicate that the improved model outperforms the traditional YOLOV5 model in terms of mAP@0.5 By 17.3%, the improved YOLOv5 algorithm performs well in detecting road cracks and can quickly and accurately identify and locate cracks on the road.
针对目前道路裂缝存在的漏检、误检、准确率低等问题,我们提出了基于改进型 YOLOv5 的道路裂缝识别模型。首先,在骨干网络中加入 CBAM 注意模块,增强特征提取能力;然后,在模型中加入加权双向特征金字塔(BiFPN)进行多尺度特征融合,取代传统的特征金字塔(FPN)+像素聚合网络(PAN)结构,增强特征融合能力。实验结果表明,改进后的模型在 mAP@0.5 方面优于传统的 YOLOV5 模型 17.3%,改进后的 YOLOv5 算法在检测道路裂缝方面表现出色,能够快速准确地识别和定位道路裂缝。
{"title":"Research on Expressway Pavement Crack Detection based on Improved YOLOv5s","authors":"Chunlin He, Jiaye Wu, Yujie Yang","doi":"10.54097/fcis.v5i3.14020","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.14020","url":null,"abstract":"In order to address the issues of missed detection, false detection, and low accuracy of current road cracks, we propose a road crack recognition model based on improved YOLOv5. Firstly, add a CBAM attention module to the backbone network to enhance feature extraction capabilities; Then, a weighted bidirectional feature pyramid (BiFPN) is incorporated into the model for multi-scale feature fusion, replacing the traditional feature pyramid (FPN)+pixel aggregation network (PAN) structure to enhance feature fusion. The experimental results indicate that the improved model outperforms the traditional YOLOV5 model in terms of mAP@0.5 By 17.3%, the improved YOLOv5 algorithm performs well in detecting road cracks and can quickly and accurately identify and locate cracks on the road.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139289016","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
期刊
Frontiers in Computing and Intelligent Systems
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1