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A linear programming model for transportation planning in the arbitrary truck load strategy to supply products with unbalanced demand 针对需求不平衡情况下的任意载重策略,建立了运输规划的线性规划模型
Pub Date : 2023-06-14 DOI: 10.1117/12.2679309
Chenglin Wu, Yufan Wu, Zeshen Li, Weishi Zong
Linear programming is an important branch of operations research and a mathematical method to assist people in scientific management. In this paper, linear programming is mainly used to obtain the optimal solution to a real transportation problem. In this problem, we added a lot of restrictions to the destination and transportation to simulate the most realistic scenario. In addition, we have tested multiple sets of data and come to some regular conclusions. This research can well control the cost of transporting goods, so as to obtain more benefits, and it has reference value in practical application.
线性规划是运筹学的一个重要分支,是辅助人们进行科学管理的一种数学方法。本文主要利用线性规划方法求解实际运输问题的最优解。在这个问题中,我们增加了很多目的地和交通的限制来模拟最真实的场景。此外,我们对多组数据进行了测试,得出了一些规律的结论。本研究可以很好地控制货物运输成本,从而获得更大的效益,在实际应用中具有参考价值。
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引用次数: 1
Model of the evolution of opinion propagation under the effect of group pressure 群体压力作用下的舆论传播演化模型
Pub Date : 2023-06-14 DOI: 10.1117/12.2678906
Jianhong Jiang, Runli Sun
For the consideration of the differences in the influence of group pressure on individuals, based on the Hegselmann- Krause model, this paper introduces the concepts of group pressure, individual type and relationship degree. Based on the new individual interaction rules, the model is established to explore the influence of different factors in the model on the opinion evolution process. The model is built based on new individual interaction rules and explores the effect of group pressure and the proportion of different types of groups in the model on the opinion evolution process. The simulation results show that different network models affect the evolutionary process and the speed of convergence, but not the final evolutionary outcome.The proportion of non-conformity groups greatly affects the degree of consensus of the final opinion. True conformity groups contribute to group consensus, while equity conformity groups promote opinion diversity. The convergence time of group expressed opinions is generally shorter than that of private group opinions. The results of the study assist social managers in guiding the opinion dissemination process in a targeted manner according to the characteristics of different types of groups.
考虑到群体压力对个体影响的差异,本文在Hegselmann- Krause模型的基础上,引入了群体压力、个体类型和关系程度的概念。基于新的个体互动规则,建立模型,探讨模型中不同因素对意见演变过程的影响。该模型基于新的个体互动规则建立,并探讨了群体压力和模型中不同类型群体的比例对意见演变过程的影响。仿真结果表明,不同的网络模型会影响进化过程和收敛速度,但不会影响最终的进化结果。不符合群体的比例很大程度上影响了最终意见的一致程度。真正的从众群体促进群体共识,而公平的从众群体促进意见多样性。群体表达意见的收敛时间普遍短于私人群体意见。研究结果有助于社会管理者根据不同类型群体的特点,有针对性地指导意见传播过程。
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引用次数: 0
Uniqueness result for fractional Kirchhoff-type problems with singular nonlinearity 具有奇异非线性的分数阶kirchhoff型问题的唯一性结果
Pub Date : 2023-06-14 DOI: 10.1117/12.2678969
Ti Song
For this paper, we mainly consider a class of Kirchhoff-type fractional Laplace equation with singular term. By using the variational way and other analysis measures, we get an important result, which is uniqueness of positive solutions for a kind of Kirchhoff type equations with weak singular term.
本文主要考虑一类奇异项kirchhoff型分数阶拉普拉斯方程。利用变分方法和其他分析手段,得到了一类弱奇异项Kirchhoff型方程正解的唯一性。
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引用次数: 0
Curvature estimation of the level sets of solutions of a class of elliptic partial differential equation 一类椭圆型偏微分方程解的水平集曲率估计
Pub Date : 2023-06-14 DOI: 10.1117/12.2679047
Xue Yu
The curvature of the level set of elliptic partial differential equation solutions is always an important content in the study of convexity. Curvature is an important invariant of surface, which characterizes the degree of curve bending, is the important basis of differential geometry. Curvature is widely used in machining. In this paper, we study the completely nonlinear elliptic Monge-Ampère equation det D2u = eu with 0 boundary value Dirichlet condition in four-dimensional Euclidean space. It is proved that the auxiliary function obtains the maximum value at the boundary, and then the mean curvature and Gauss curvature of the level sets of the solutions of the equation are estimated quantitatively.
椭圆型偏微分方程解的水平集曲率一直是凸性研究中的一个重要内容。曲率是曲面的一个重要不变量,它表征了曲线的弯曲程度,是微分几何的重要基础。曲率在机械加工中应用广泛。本文研究了四维欧几里德空间中具有0边值Dirichlet条件的完全非线性椭圆型monge - ampante方程det D2u = eu。证明了辅助函数在边界处得到最大值,然后定量估计了方程解的水平集的平均曲率和高斯曲率。
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引用次数: 0
Generalization of Steinhaus conjecture 斯坦豪斯猜想的推广
Pub Date : 2023-06-14 DOI: 10.1117/12.2678950
Gen-Fang Chen
H. Steinhaus proposed a conjecture about irrational numbers, called the Steinhaus conjecture. Sós et al. proved it, and the results of the study are referred to as the “Three Gap Theorem.” In this paper, we promote the Steinhaus conjecture and prove the generalization of the Three Gap Theorem, in which the definition domain of independent variables is extended from natural number sets to integer sets, and an application of the extended conclusion in the field of music art is illustrated.
H.施泰因豪斯提出了一个关于无理数的猜想,称为施泰因豪斯猜想。Sós等人证明了这一点,并将研究结果称为“三间隙定理”。本文推广了斯坦豪斯猜想,证明了三间隙定理的推广,其中自变量的定义域由自然数集推广到整数集,并举例说明了推广结论在音乐艺术领域的应用。
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引用次数: 0
Mixed rationality model of route guidance based on evolutionary game 基于进化博弈的路径引导混合理性模型
Pub Date : 2023-06-14 DOI: 10.1117/12.2679257
Junjun Zhao, Xianbao Zhao, Wei Cheng, H. Xiao
The mixed rationality phenomenon on complete rationality of traffic managers and limited rationality of route selection of drivers, exacerbated by the complexity of urban transport path-guidance behavior. First, analyze finite route choosing behavior by evolutionary game topologically, and then facing the urban road network system, the route guidance simple evolutionary game model was put through, based on the three choice behaviors of the driving experience, guidance information, and combination with guidance information, and the evolutionary game theory of black box. Finally, select such as the route travel time, the average travel speed of path, the route load degree and congestion index, and take central zone of Baoshan for example, whose result indicate: it is a relatively reliable route selection method for combination with guidance information and driving experience, especially the most outstanding in the rush hour, and helpful to optimize the overall route networks.
城市交通路径引导行为的复杂性加剧了交通管理者完全理性与驾驶员路径选择有限理性的混合理性现象。首先,通过进化博弈拓扑分析有限路径选择行为,然后针对城市路网系统,基于驾驶经验、引导信息和与引导信息结合的三种选择行为,结合黑匣子进化博弈理论,建立了路径引导简单进化博弈模型。最后,选取路线行驶时间、路径平均行驶速度、路线负荷程度、拥堵指数等参数,并以宝山中心区为例,结果表明:结合引导信息和驾驶经验,是一种较为可靠的路线选择方法,尤其在高峰时段表现最为突出,有利于优化整体路线网络。
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引用次数: 0
Research on green port based on LDA model and CiteSpace bibliometric analysis 基于LDA模型和CiteSpace文献计量分析的绿色港口研究
Pub Date : 2023-06-14 DOI: 10.1117/12.2679115
Chen Shi, Ding Qian, Liang Ke
With the rapid development of computer and Internet technology, digital information has shown an explosive growth. Traditional text clustering models suffer from high data dimensionality, sparse data and lack of semantic understanding. This paper uses CiteSpace bibliometric analysis and LDA model hierarchical clustering method to visualise and analyse the evolution process and research frontiers of the green port knowledge domain, which has certain practical significance for the in-depth promotion of green port practices in China.
随着计算机和互联网技术的飞速发展,数字信息呈现爆发式增长。传统的文本聚类模型存在数据维数高、数据稀疏、缺乏语义理解等问题。本文运用CiteSpace文献计量分析和LDA模型层次聚类方法,对绿色港口知识领域的演变过程和研究前沿进行了可视化分析,对中国绿色港口实践的深入推进具有一定的现实意义。
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引用次数: 0
Analysis of smoking transmission based on the SIR 基于SIR的吸烟传播分析
Pub Date : 2023-06-14 DOI: 10.1117/12.2678953
Zhuohang Qin, Sibei Li
China is the world's largest consumer of tobacco and the world's largest victim of tobacco, so I hope to solve the problem of smoking transmission, which is important to control the scale of its transmission and reduce the harm to public health and socioeconomic development. In this paper, we use the infectious disease dynamics model (SIR) to solve the problem of smoking transmission. This paper introduces the SIR model as the basis and then establishes three new models to analyze the spread of smoking, and then calculates the Basic reproduction number according to the disease free equilibrium of the three models. Finally, the conclusions of the three models are used to propose corresponding countermeasures and suggestions, so as to analyze and solve the problem of the spread of smoking and provide a reference. The three models are used to calculate the Basic reproduction number.
中国是世界上最大的烟草消费国,也是世界上最大的烟草受害者,所以我希望解决吸烟传播问题,这对于控制其传播规模,减少对公众健康和社会经济发展的危害非常重要。本文采用传染病动力学模型(SIR)来解决吸烟传播问题。本文在引入SIR模型的基础上,建立了三个新的吸烟传播分析模型,并根据三个模型的无病平衡计算基本繁殖数。最后,利用三种模型的结论提出相应的对策和建议,为分析和解决吸烟蔓延问题提供参考。这三种模型用于计算基本复制数。
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引用次数: 0
Application of LSTM intelligent algorithm in shale gas development LSTM智能算法在页岩气开发中的应用
Pub Date : 2023-06-14 DOI: 10.1117/12.2679172
Qichao Gao, Lulu Liao, Shunhui Yang
Shale gas is regard as a clean, low-carbon and green energy, and the utilization and efficient development of shale gas is of great significance for achieving the dual carbon goals. Horizontal well hydraulic fracturing is an important way to develop shale gas resources. Predicting the production of shale gas under different engineering or geological conditions of shale reservoirs is crucial to the optimal fracturing design of shale gas development. This study proposes a LSTMbased intelligent model to predict the gas production of shale, and this novel smart model predicts gas production quickly and accurately. We comprehensively evaluate and compare the performance of the AI network, and the results of test show that the LSTM-based AI model can output gas production data by inputting reservoir and engineering parameters. The mean value of relative error of the LSTM-based AI model is 5.32%, which is reliably for the prediction of gas production. The peak of relative errors of this AI model in this study on day 100, 300, and 500 are 4.67%, 6.53%, and 8.23%, respectively. This study can provide an effective and quick method for shale gas prediction and improve the intelligence level of energy development.
页岩气被视为清洁、低碳、绿色能源,页岩气的利用和高效开发对于实现双碳目标具有重要意义。水平井水力压裂是开发页岩气资源的重要途径。预测不同工程地质条件下的页岩气产量对页岩气开发的优化压裂设计至关重要。本文提出了一种基于lstm的页岩气产量智能预测模型,该模型能够快速准确地预测页岩气产量。综合评价和比较了人工智能网络的性能,测试结果表明,基于lstm的人工智能模型可以通过输入储层和工程参数输出产气量数据。基于lstm的人工智能模型相对误差均值为5.32%,能够可靠地预测产气量。本研究中该AI模型在第100天、第300天、第500天的相对误差峰值分别为4.67%、6.53%、8.23%。该研究可为页岩气预测提供一种有效、快捷的方法,提高能源开发的智能化水平。
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引用次数: 0
The integral along curves by residue theorem 用剩余定理求沿曲线的积分
Pub Date : 2023-06-14 DOI: 10.1117/12.2679151
Yuan Liu
It has been shown that ∫∞n(𝐥𝐨𝐠 𝒙)𝟐/𝟏+𝒙𝟐 𝒅𝒙 = 𝝅𝟑/𝟖, and 𝐥𝐨𝐠 𝒛 has been chosen to be a branch of the logarithm function in this paper. Meanwhile, logz is holomorphic in the domain: {𝒛: 𝑰𝒎𝒛 ≥ 𝟎 𝒂𝒏𝒅 𝒛 ≠ 𝟎}. Then this study calculates how to express residue of f as 𝟏 + 𝐳𝟐 = (𝐳 − 𝐢) ∙ (𝐳 + 𝐢), and there are two solutions of 𝟏 + 𝐳𝟐 = 𝟎: 𝒛𝟏 = 𝒊 𝒂𝒏𝒅 𝒛𝟐 = −𝒊. The function has only one pole occurs at 𝐳 = 𝐢. This result applies to more calculation of integral along curves.
结果表明:∫∞n(𝐥𝐨𝐠𝒙)/ +𝒙𝒙=𝝅/𝟖,并选择𝐥𝐨𝐠𝒛作为对数函数的一个分支。同时,logz域的全纯:{𝒛:𝑰𝒎𝒛≥𝟎𝒂𝒏𝒅𝒛≠𝟎}。然后本研究计算如何表达残渣f𝟏+𝐳𝟐=(𝐳−𝐢)∙(𝐳+𝐢),有两个解决方案𝟏+𝐳𝟐=𝟎:𝒛𝟏=𝒊𝒂𝒏𝒅𝒛𝟐=−𝒊。函数只有一个极点出现在𝐳=𝐢。这一结果适用于更多沿曲线积分的计算。
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Conference on Pure, Applied, and Computational Mathematics
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