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Relativistic Corrections to the Maxwellian Distribution for Astrophysical and Fusion Plasmas 天体物理和聚变等离子体麦克斯韦分布的相对论修正
Pub Date : 2023-01-01 DOI: 10.4236/jamp.2023.118154
Amaury de Kertanguy
We present calculations and improvement inspired by the work of Lorenzo Zaninetti, published in 2020, it concerns a problem whose origin dates back 1911 with so called Maxwell-Jüttner distribution these lies on the Lorentz factor , with . This work uses powerful modern software for a reconstruction of Zaninetti work, which computes with special functions, these are included in the Mathematica software, as by instance Bessel and Meijer G-functions ready to manipulate. A progress is made, it is possible to perform an integral that is not computed in Zaninetti paper. This author connects the correct relativistic probability law: the Maxwell-Jüttner to the synchrotron emissivity with a magnetic B field, this work generalize these results, using the linear Stark effect and deals with an electric field E.
我们在Lorenzo Zaninetti的工作的启发下进行了计算和改进,该工作发表于2020年,它涉及一个问题,其起源可以追溯到1911年所谓的麦克斯韦- j特纳分布这些分布位于洛伦兹因子上。这项工作使用强大的现代软件来重建Zaninetti的工作,它使用特殊的函数进行计算,这些函数包括在Mathematica软件中,例如贝塞尔和梅杰的g函数随时可以操作。本文取得了新的进展,实现了Zaninetti论文中没有计算的积分。本文将正确的相对论概率定律麦克斯韦- jttner与具有磁场的同步辐射率联系起来,利用线性Stark效应推广了这些结果,并处理了电场E。
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引用次数: 0
Optimal Portfolio Selection with Delay under the Framework of Uncertainty Theory 不确定性理论框架下具有时滞的最优投资组合选择
Pub Date : 2023-01-01 DOI: 10.4236/jamp.2023.1110187
Jun Long, Sanyun Zeng
This study focuses on investigating the optimal investment strategy for an optimization problem with delay using the uncertainty theory. The financial market is composed of a risk-free asset and a risk asset with an uncertain price process described by an uncertain differential equation. An optimization problem is assumed that its objective is a nonlinear function of decision variable. By deriving the equation of optimality, an analytical solution is obtained for the optimal delay investment strategy, and the optimal delay value function. Finally, an economic analysis and numerical sensitivity analysis are conducted to evaluate the research results.
本文利用不确定性理论研究一类时滞优化问题的最优投资策略。金融市场由无风险资产和风险资产组成,其价格过程由不确定微分方程描述。一个优化问题假定其目标是决策变量的非线性函数。通过推导最优性方程,得到了最优延迟投资策略的解析解,以及最优延迟值函数。最后,对研究结果进行了经济分析和数值敏感性分析。
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引用次数: 0
Switching Control Method for Optimal State Feedback Controller of Nuclear Reactor Power System 核反应堆动力系统最优状态反馈控制器的切换控制方法
Pub Date : 2023-01-01 DOI: 10.4236/jamp.2023.118159
Airan Dang, Bowen Tu, Xiuchun Luan
Due to the nonlinearity of the reactor power system, the load tracking situation is closely related to the initial steady-state power and the final steady-state power after the introduction of the state feedback controller. Therefore, when the initial power and the final stable power are determined, the particle swarm optimization algorithm is used to find the optimal controller parameters to minimize the load tracking error. Since there are many combinations of initial stable power and final stable power, it is not possible to find the optimal controller parameters for all combinations, so the neural network is used to take the final stable power and the initial stable power as input, and the optimal controller parameters as the output. This method obtains the optimal state feedback controller switching control method can achieve a very excellent load tracking effect in the case of continuous power change, in the power change time point, the response is fast, in the controller parameter switching time point, the actual power does not fluctuate due to the change of controller parameters.
由于电抗器电力系统的非线性,引入状态反馈控制器后,负荷跟踪情况与初始稳态功率和最终稳态功率密切相关。因此,当初始功率和最终稳定功率确定后,采用粒子群优化算法寻找最优控制器参数,使负荷跟踪误差最小。由于初始稳定功率和最终稳定功率有多种组合,不可能找到所有组合的最优控制器参数,因此采用神经网络将最终稳定功率和初始稳定功率作为输入,将最优控制器参数作为输出。该方法获得的最优状态反馈控制器切换控制方法可以在功率连续变化的情况下达到非常优异的负载跟踪效果,在功率变化时间点上,响应速度快,在控制器参数切换时间点上,实际功率不因控制器参数的变化而波动。
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引用次数: 0
Numerical Study on the Duct Noise Control of Single-Stage Axial Flow Fan with Wave Leading Edge Stator Blade Configurations 波前缘静叶单级轴流风机风道噪声控制数值研究
Pub Date : 2023-01-01 DOI: 10.4236/jamp.2023.118161
Jianxin Lian, Hang Tong, Liangji Zhang, Weiyang Qiao, Weijie Chen
This study focuses on a single-stage axial flow fan, investigating the effect of three kinds of wave leading edge stator blades on its noise reduction. The DDES method and the duct acoustic analogy theory based on the penetrable data surface were used for noise prediction. The results showed that the three kinds of wave leading edge blades were effective in reducing the rotor-stator interaction tonal noise and also have a certain inhibitory effect on broadband noise. The A10W15 stator blade can effectively reduce broadband noise in the frequency range of 2200 - 4200 Hz. When the amplitude is increased to 20, the noise reduction effect is further enhanced. However, when the amplitude is increased to 30, the broadband noise reduction effect is no longer significant. Further research shows that the wave leading edge stator blades can significantly change the pressure fluctuation distribution on the leading edge and suction surface, which control the modal energy distribution. Finally, this paper analyzed multiple factors affecting the broadband noise reduction, such as the noise source cut-off and cut-on effect and correlation. The purpose of this paper is to explore the laws of the influence of wave leading edge blades on the duct noise of real fan, and to reveal its noise control mechanism.
以单级轴流风机为研究对象,研究了三种波前缘静叶对其降噪效果的影响。采用DDES方法和基于可穿透数据面的管道声学类比理论进行噪声预测。结果表明,三种波前缘叶片均能有效降低动静干涉噪声,并对宽带噪声有一定的抑制作用。A10W15定子叶片可有效降低2200 - 4200hz频率范围内的宽带噪声。当幅值增加到20时,降噪效果进一步增强。然而,当幅度增加到30时,宽带降噪效果不再显著。进一步研究表明,波浪前缘静叶可以显著改变前缘和吸力面的压力波动分布,从而控制模态能量分布。最后,分析了影响宽带降噪的多种因素,如噪声源的切断、接通效应和相关性。本文的目的是探索波浪前缘叶片对真实风机风道噪声的影响规律,揭示其噪声控制机理。
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引用次数: 0
Frequency-Domain Wideband Acoustic Noise Cancellation System 频域宽带噪声消除系统
Pub Date : 2023-01-01 DOI: 10.4236/jamp.2023.118163
Karaseva Vera Andreevna, Lvov Aleksey Vital’evich, Rodionov Aleksandr Alekseevich
When building an adaptive noise cancellation system for wideband acoustic signals, one can meet some difficulties in practical implementation of such a system. The major problem is related to the necessity of using real-time signal generation and processing. In this paper the active noise control system which utilizes adaptation in frequency domain is considered. It is shown that the proposed algorithms simplify practical implementation of a noise cancellation system. The results of computer simulations and prototype experiments show the effectiveness of the proposed methods.
在构建宽带声信号自适应消噪系统时,在实际实现中会遇到一些困难。主要的问题与使用实时信号产生和处理的必要性有关。本文研究了利用频域自适应技术的有源噪声控制系统。结果表明,所提出的算法简化了噪声消除系统的实际实现。计算机仿真和样机实验结果表明了所提方法的有效性。
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引用次数: 0
Adaptive Stochastic Synchronization of Uncertain Delayed Neural Networks 不确定延迟神经网络的自适应随机同步
Pub Date : 2023-01-01 DOI: 10.4236/jamp.2023.119164
Enli Wu, Yao Wang, Fei Luo
This paper considers adaptive synchronization of uncertain neural networks with time delays and stochastic perturbation. A general adaptive controller is designed to deal with the difficulties deduced by uncertain parameters and stochastic perturbations, in which the controller is less conservative and optimal since its control gains can be automatically adjusted according to some designed update laws. Based on Lyapunov stability theory and Barbalat lemma, sufficient condition is obtained for synchronization of delayed neural networks by strict mathematical proof. Moreover, the obtained results of this paper are more general than most existing results of certainly neural networks with or without stochastic disturbances. Finally, numerical simulations are presented to substantiate our theoretical results.
研究具有随机扰动和时滞的不确定神经网络的自适应同步问题。针对不确定参数和随机扰动带来的困难,设计了一种通用自适应控制器,该控制器可以根据设计的更新规律自动调整控制增益,具有较低的保守性和最优性。基于Lyapunov稳定性理论和Barbalat引理,通过严格的数学证明,得到了延迟神经网络同步的充分条件。此外,本文所得到的结果比大多数具有或不具有随机干扰的确定性神经网络的结果更具有普遍性。最后,通过数值模拟验证了理论结果。
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引用次数: 0
Nonstandard Unitary Transformations of Quantum States 量子态的非标准幺正变换
Pub Date : 2023-01-01 DOI: 10.4236/jamp.2023.119166
Gombojav O. Ariunbold
In quantum optics, unitary transformations of arbitrary states are evaluated by using the Taylor series expansion. However, this traditional approach can become cumbersome for the transformations involving non-commuting operators. Addressing this issue, a nonstandard unitary transformation technique is highlighted here with new perspective. In a spirit of “quantum” series expansions, the transition probabilities between initial and final states, such as displaced, squeezed and other nonlinearly transformed coherent states are obtained both numerically and analytically. This paper concludes that, although this technique is novel, its implementations for more extended systems are needed.
在量子光学中,用泰勒级数展开计算任意态的幺正变换。然而,对于涉及非交换算子的转换,这种传统方法可能会变得很麻烦。为了解决这个问题,本文以新的视角强调了一种非标准的单一转换技术。在“量子”级数展开的精神下,用数值和解析的方法得到了初始态和最终态之间的跃迁概率,如位移态、压缩态和其他非线性变换相干态。本文的结论是,尽管该技术是新颖的,但需要在更扩展的系统中实现它。
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引用次数: 0
Generalized Soft Expert Set and Its Applications 广义软专家集及其应用
Pub Date : 2023-01-01 DOI: 10.4236/jamp.2023.118156
Xuefang Liu
The expert set theory performs an important part in making decisions. It can successfully convey the opinions of every expert since it includes several experts. In this study, generalizations and soft expert sets are combined. First, the generalized soft expert set notion is presented, then follows the definition of operation approaches and characteristics as the complement, union, intersection, AND and OR. The application of the generalized soft expert set concept to decision issues is then presented with an example. The study also introduces the idea of a generalized soft expert matrix and demonstrates how it may be used to solve decision-making issues. The most striking aspect of this paper is to present the concepts of generalized soft expert sets and generalized soft expert matrices and to apply them to the same decision-making scenario.
专家集理论在决策中起着重要的作用。它可以成功地传达每个专家的意见,因为它包含了几个专家。本研究将泛化与软专家集相结合。首先提出了广义软专家集概念,然后定义了软专家集的运算方法和特征:补、并、交、与、或。最后通过实例介绍了广义软专家集概念在决策问题中的应用。该研究还介绍了广义软专家矩阵的思想,并演示了如何使用它来解决决策问题。本文最引人注目的方面是提出了广义软专家集和广义软专家矩阵的概念,并将它们应用于相同的决策场景。
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引用次数: 0
Unsteady Hydromagnetic Non-Newtonian Nanofluid Flow Past a Porous Stretching Sheet in the Presence of Variable Magnetic Field and Chemical Reaction 非定常磁非牛顿纳米流体在变磁场和化学反应下流过多孔拉伸片
Pub Date : 2023-01-01 DOI: 10.4236/jamp.2023.119165
Kafunda Tuesday, Mathew N. Kinyanjui, Kang’ethe Giterere
The aim of this study is to examine the unsteady hydromagnetic flow of non-Newtonian nanofluid past a stretching sheet in the presence of variable magnetic field and chemical reaction. The system of non-linear partial differential equations governing the flow was solved using finite difference numerical approximation method. The resulting numerical schemes were simulated in MATLAB software. Furthermore, the skin-friction coefficient, Sherwood number, and Nusselt number have been presented in tabular form and discussed. The findings demonstrated that increasing Reynolds number increases velocity profiles while increasing permeability parameter, suction parameter and angle of inclination for the applied magnetic field reduces the velocity profiles of the fluid flow. Temperature of the fluid increases as the angle of inclination, magnetic number, Reynolds number and Eckert number increase but decreases as Prandtl number increases. Induced magnetic field profiles decrease as magnetic Prandtl number and suction parameter increase. Concentration profiles decrease as the chemical reaction parameter and Schmidt number increase but increase as the Soret number increases. The study is significant because fluid flow and heat transfer mechanisms with the variable magnetic considerations play an important role in magnetohydrodynamic generator or dynamo and magnetohydrodynamic pumps, nuclear reactors, vehicle thermal control, heat exchangers, cancer therapy, wound treatment and hyperthermia.
本研究的目的是研究非牛顿纳米流体在变磁场和化学反应存在下通过拉伸片的非定常磁流。采用有限差分数值逼近法对控制流动的非线性偏微分方程组进行了求解。在MATLAB软件中对所得到的数值格式进行了仿真。并对摩擦系数、Sherwood数和Nusselt数进行了讨论。结果表明:雷诺数的增加使流体的速度分布增大,磁导率参数、吸力参数和外加磁场倾角的增大使流体的速度分布减小;流体温度随倾角、磁数、雷诺数和埃克特数的增加而升高,随普朗特数的增加而降低。随着磁普朗特数和吸力参数的增大,感应磁场分布减小。浓度分布随化学反应参数和施密特数的增大而减小,随索雷特数的增大而增大。该研究具有重要意义,因为考虑变磁因素的流体流动和传热机制在磁流体动力发电机或发电机、磁流体动力泵、核反应堆、车辆热控制、热交换器、癌症治疗、伤口治疗和热疗中发挥着重要作用。
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引用次数: 0
The Application of Numerical Characteristics to the Distribution Characteristics of Copper in the Liao River, China 数值特征在辽河铜分布特征中的应用
Pub Date : 2023-01-01 DOI: 10.4236/jamp.2023.117127
Kan Zhang, Xue Feng
The aim of the present investigation was to research the distribution characteristics of copper in water and sediment of the Liao River, China. The concentrations of copper in water and sediment showed significant difference at different sampling stations. The distribution characteristics of copper in water and sediment were obtained by using discrete and continuous numerical characteristics. The results indicated that the average concentrations of copper in water and sediment decreased slightly after its accumulation. While the deviations of the concentrations of copper in water and sediment from the expectation increased significantly after its accumulation. The skewness distributions of the concentrations of copper in water and sediment did not change much before and after its accumulation. The kurtosis distributions of the concentrations of copper in water and sediment decreased significantly after its accumulation. Therefore, the precise distribution characteristics of copper in water and sediment were obtained through the combination of the discrete and continuous numerical characteristics.
本文旨在研究辽河水体和沉积物中铜的分布特征。不同采样点水体和沉积物中铜的含量差异显著。利用离散和连续的数值特征得到了铜在水体和沉积物中的分布特征。结果表明,水体和沉积物中铜的平均浓度在积累后略有下降。而水和沉积物中铜的浓度在积累后与预期值的偏差明显增大。水体和沉积物中铜浓度的偏度分布在铜富集前后变化不大。水体和沉积物中铜浓度的峰度分布在铜积累后显著减小。因此,通过离散和连续数值特征相结合,获得了铜在水体和沉积物中的精确分布特征。
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引用次数: 1
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Journal of Applied Mathematics and Physics
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