A Transportation Network Equilibrium Reformulation of Eco-Industry Chain Network

In this paper, we demonstrate that the eco-industrial network equilibrium model of link flow version previously introduced can be reformulated as a transportation network equilibrium problem of path flow version. Then, some methodological tools mainly applied in the field of transportation science can be used to discuss the eco-industrial chain network problem. What the highlighted contribution lies in is that the paper not only expands theory of supply chain model with reducing path flow but also generalizes the traditional transportation network equilibrium problem by new applications.

Supply Chain Network Equilibrium with Revenue Sharing Contract under Demand Disruptions

Contract is a common and effective mechanism for supply chain coordination,which has been studied extensively in recent years.For a supply chain network model,contracts can be used to coordinate it because it is too ideal to obtain the network equilibrium state in practical market competition.In order to achieve equilibrium,we introduce revenue sharing contract into a supply chain network equilibrium model with random demand in this paper.Then,we investigate the influence on this network equilibrium state from demand disruptions caused by unexpected emergencies.When demand disruptions happen,the supply chain network equilibrium state will be broken and change to a new one,so the decision makers need to adjust the contract parameters to achieve the new coordinated state through bargaining.Finally,a numerical example with a sudden demand increase as a result of emergent event is provided for illustrative purposes.

A closed-loop Supply Chain Network Equilibrium Model with Fuzzy Demand under Production Capacity Constraints and Price Rigidities

A closed-loop supply chain network equilibrium problem is examined,which consists of mutual competitive manufacturers with production capacity constraints and retailers with fuzzy market demands,mutual competitive collectors as well as a binding price ceiling of the commodities.By utilizing the credibility measure of fuzzy event,variational inequality and Lagrange dual theory,the optimum behaviors of manufactures,retailers,collectors and consumers are described.Therefore,the supply chain network equilibrium model is established.Numerical examples were given to illustrate the impact of production capacity constraints and price ceiling on the network equilibrium pattern.The results show that the shortage of commodities in consumer market will be more serious,the wholesale price of product and purchase price of waste products rise,the profits of retailers decrease,the profits of manufacturers and collectors increase as the government gradually reduce the binding price ceiling on competitive markets,and the trend will be more obvious in the existence of production capacity constraints at same time.

Alloy gene Gibbs energy partition function and equilibrium holographic network phase diagrams of AuCu_3-type sublattice system

Taking AuCu3-type sublattice system as an example, three discoveries have been presented: First, the third barrier hindering the progress in metal materials science is that researchers have got used to recognizing experimental phenomena of alloy phase transitions during extremely slow variation in temperature by equilibrium thinking mode and then taking erroneous knowledge of experimental phenomena as selected information for establishing Gibbs energy function and so-called equilibrium phase diagram. Second, the equilibrium holographic network phase diagrams of AuCu3-type sublattice system may be used to describe systematic correlativity of the composition?temperature-dependent alloy gene arranging structures and complete thermodynamic properties, and to be a standard for studying experimental subequilibrium order-disorder transition. Third, the equilibrium transition of each alloy is a homogeneous single-phase rather than a heterogeneous two-phase, and there exists a single-phase boundary curve without two-phase region of the ordered and disordered phases; the composition and temperature of the top point on the phase-boundary curve are far away from the ones of the critical point of the AuCu3 compound.

Alloy gene Gibbs energy partition function and equilibrium holographic network phase diagrams of Au_3Cu-type sublattice system

Taking Au3Cu-type sublattice system as an example, three discoveries have been presented. First, the fourth barrier to hinder the progress of metal materials science is that today’s researchers do not understand that the Gibbs energy function of an alloy phase should be derived from Gibbs energy partition function constructed of alloy gene sequence and their Gibbs energy sequence. Second, the six rules for establishing alloy gene Gibbs energy partition function have been discovered, and it has been specially proved that the probabilities of structure units occupied at the Gibbs energy levels in the degeneracy factor for calculating configuration entropy should be degenerated as ones of component atoms occupied at the lattice points. Third, the main characteristics unexpected by today’s researchers are as follows. There exists a single-phase boundary curve without two-phase region coexisting by the ordered and disordered phases. The composition and temperature of the top point on the phase-boundary curve are far away from those of the critical point of the Au3Cu compound; At 0 K, the composition of the lowest point on the composition-dependent Gibbs energy curve is notably deviated from that of the Au3Cu compounds. The theoretical limit composition range of long range ordered Au3Cu-type alloys is determined by the first jumping order degree.

Traffic network equilibrium problems with demands uncertainty and capacity constraints of arcs by scalarization approaches

This paper focuses on the vector traffic network equilibrium problem with demands uncertainty and capacity constraints of arcs, in which, the demands are not exactly known and assumed as a discrete set that contains finite scenarios. For different scenario, the demand may be changed, which seems much more reasonable in practical programming. By using the linear scalarization method,we introduce several definitions of parametric equilibrium flows and reveal their mutual relations. Meanwhile, the relationships between the scalar variational inequality as well as the(weak) vector equilibrium flows are explored, meanwhile, some necessary and sufficient conditions that ensure the(weak) vector equilibrium flows are also considered. Additionally, by means of nonlinear scalarization functionals, two kinds of equilibrium principles are derived. All of the derived conclusions contain the demands uncertainty and capacity constraints of arcs, thus the results proposed in this paper improved some existing works. Finally, some numerical examples are employed to show the merits of the improved conclusions.

Developing architecture of a traveler information system for dynamic equilibrium in traffic networks

Having criticized the current architecture of Advanced Traveler Information Systems （ATISs）, this work discusses a new base of requirements to develop a new paradigm for traffic information systems. It mainly integrates three dimensions within a traffic system： drivers＇ pattern of behavior and preferences, urban traffic desires, and capabilities of traffic information service providers. Based on the above, functional segments from several related backgrounds are brought together to structure a new architecture, called Interactive Traveler Information System （ITIS）. The main interactive feature of this new architecture is a two-way communication track between drivers and the traffic information system provider-in fact, a decision on choosing a road at a particular time for an individual will be made based on the utility of both sides. This new configuration consists of driver-side smartphone application, centric traffic prediction, and decision-maker units, which will shape a new approach of decision-making processes. These all work together to satisfy the designated goal of ITIS, which is preserving the Wardrop equilibrium condition in the traffic network level. Finally, we concentrate on a comparison study, which shows a differentiation between performance of the proposed ITIS and the current ATIS model in a real situation. This has been done with simulations of analogical scenarios. The most noticeable advantage of the proposed architecture is not being limited to a saturation limit, and the positive effect of increasing system penetration in the performance of the newly introduced information system. In conclusion, new research subjects are suggested to be carried out.

Estimation of plasma equilibrium parameters via a neural network approach

Plasma equilibrium parameters such as position, X-point, internal inductance, and poloidal beta are essential information for efficient and safe operation of tokamak. In this work, the artificial neural network is used to establish a non-linear relationship between the measured diagnostic signals and selected equilibrium parameters. The estimation process is split into a preliminary classification of the kind of equilibrium(limiter or divertor) and subsequent inference of the equilibrium parameters. The training and testing datasets are generated by the tokamak simulation code(TSC), which has been benchmarked with the EAST experimental data. The noise immunity of the inference model is tested. Adding noise to model inputs during training process is proved to have a certain ability for maintaining performance.

Equilibrium Analysis for Anycast in WDM Networks

In this paper, the wavelength-routed WDM network was analyzed for the dynamic case where the arrival of anycast requests was modeled by a state-dependent Poisson process. The equilibrium analysis was also given with the UWNC algorithm.

多周期农产品废弃物供应链网络均衡模型构建

目的研究农产品废弃物可持续利用问题,既实现供应链整体利润最优,又减轻对环境的污染。方法在随机需求的背景下,考虑生产合作社对零售商的不同激励度,分析生产合作社、零售商、需求市场的最优状态,利用变分不等式建立相应的多周期供应链网络均衡模型。结果从多周期角度,实现了农产品废弃物供应链网络均衡利益最优化,可为合作社与零售商在较长时间达到一种均衡状态提供有效解决方案。结论既实现了多周期农产品废弃物的持续利用,又促进了循环经济的发展,同时还实现了供应链网络均衡、供应链整体利润最优和减轻环境污染等目标。

“双碳”目标下考虑各方努力水平的生鲜供应链网络均衡研究

为探讨不同竞争与合作模式下生鲜供应链成员最优努力水平、消费者低碳偏好和原材料产能约束对生鲜供应链利润的影响,本文结合生鲜产品易腐性、季节性的特点,以多个供应商、制造商、零售商及需求市场组成的生鲜供应链为研究对象,利用网络均衡的方法构建供应链网络模型,并设计基于对数二次型逼近的算法求解。研究结果表明:当所有生鲜供应链成员协同努力时,一定程度的努力投入能够使相关成员及供应链整体利润达到最优;当生鲜供应链各层级之间协同努力时,供应商和零售商努力水平的提高更有利于整体利润最大化;当生鲜供应链成员各自努力时,决策者需密切关注竞争对手或其余层级成员的努力水平;消费者低碳偏好的增加有利于提升制造商利润,但对供应商与零售商利润的改善有限;原材料产能约束能够使供应商利润得到较为显著提升,但并不利于改善其余供应链成员利润。

Modified stochastic user-equilibrium assignment algorithm for urban rail transit under network operation

Based on the framework of method of successive averages(MSA), a modified stochastic user-equilibrium assignment algorithm was proposed, which can be used to calculate the passenger flow distribution of urban rail transit(URT) under network operation. In order to describe the congestion's impact to passengers' route choices, a generalized cost function with in-vehicle congestion was set up. Building on the k-th shortest path algorithm, a method for generating choice set with time constraint was embedded, considering the characteristics of network operation. A simple but efficient route choice model, which was derived from travel surveys for URT passengers in China, was introduced to perform the stochastic network loading at each iteration in the algorithm. Initial tests on the URT network in Shanghai City show that the methodology, with rational calculation time, promises to compute more precisely the passenger flow distribution of URT under network operation, compared with those practical algorithms used in today's China.

一种求解混合变分不等式的带有扰动项的神经网络方法

通过构建带有干扰项的新型神经网络求解混合变分不等式问题.主要将已有的固定时间收敛的前向-后向-前向神经动力学网络进行推广,构建出带有扰动项的神经网络模型.证明了所构建的神经网络的平衡点是固定时间稳定的,并给出了稳定时间的上界.最后通过数值实验证明了该方法的有效性.

面向舆论场的网络舆情传播模型建模与仿真

为探析民间舆论场与官方舆论场的交互机理以及其对网络舆情时空传播的影响,并基于理论分析指导信息安全治理实践。根据两个舆论场的交互关系与舆情传播特点,提出了基于双层网络的网络舆情传播模型,重点研究了两个舆论场交互对网络舆情的传播影响。首先求解出了模型的传播阈值R0,并基于R0分析了舆情传播的平衡点;其次,根据Routh-hurwitz和Lyapunov理论分析了模型在平衡点处的稳定性;最后,对两个舆论场不同互动情景下网络舆情的传播进行了仿真分析。实验表明,模型接近于现实系统并能够较真实地模拟舆情在现实网络空间中的时空传播规律,为两个舆论场的融合发展以及网络舆情引导研究提供了思路。

双元创新视角下海外网络嵌入均衡对企业创新绩效的影响研究

基于组织均衡理论,探讨了双元创新视角下海外网络嵌入性影响企业创新绩效的机制。实证分析发现:海外网络嵌入联合均衡负向影响企业创新绩效,而海外网络嵌入匹配均衡能够提高企业创新绩效。探索式创新未能在海外网络嵌入联合均衡与企业创新绩效间起中介作用,利用式创新和探索式创新均在海外网络嵌入匹配均衡与创新绩效的关系间起中介作用。

考虑不确定性的多级产品服务供应链网络均衡研究

产品服务供应链面临产品服务系统需求和供应的双重不确定性。以由单个集成服务提供商、单个分包商和单个供应商构成的产品服务供应链为研究对象,综合考虑产品服务系统需求和供应的不确定性,分别构建了分散决策和协调状态下产品服务供应链网络决策模型,并对其决策行为进行了分析。研究结果表明:分散决策状态下,各成员企业均从自身收益最大化出发制定决策,无法减弱需求和供应不确定性造成的影响,致使无法实现产品服务供应链的整体最优。协调状态下,基于收益共享契约的集成服务提供商和分包商间的协调模型,可减弱需求不确定性带来的影响,但由于面临的供应不确定性未得到改善,致使其最优期望收益无法实现。基于惩罚策略的分包商和供应商间的协调模型,可减弱供应不确定性带来的影响。综合惩罚策略和收益共享契约,构建了基于惩罚-收益共享联合契约的产品服务供应链协调模型,既降低了供应的不确定性,又减弱了需求不确定性带来的影响,实现产品服务供应链整体收益及各成员企业收益的帕累托改进。最后,通过数值分析验证了研究结论的有效性。

履带车辆油气弹簧生热机理和热模型研究

为研究油气弹簧工作过程中的生热机理,建立油气弹簧参数化热模型。采集试验数据对油气弹簧阻尼示功特性进行数值拟合,得到活塞运动速度-阻尼力关系的数学表达式。对油气弹簧的传热路径和换热特点分析,建立油气弹簧热阻网络模型,计算得到工作过程中油气弹簧2种工作介质的温度变化特性。设计试验对油气弹簧的热模型计算结果进行验证。试验结果表明:阻尼力做功是油气弹簧温度升高的主要热量来源,油液温度比气体温度上升更快、平衡温度更高,该模型可以准确地计算出油气弹簧不同工作介质的温升情况,为油气弹簧热-机耦合动力学研究提供了参考。

基于改进SlowFast模型的设施黄瓜农事行为识别方法

[目的/意义]农事行为活动识别对设施蔬菜生产精准化调控有着重要意义,在一定程度上可以通过查看农事操作的时间、操作过程是否合理来减少因农事行为不当导致产量下降。为了解决农事行为识别方法中由于黄瓜叶片和设施遮挡导致识别准确率不高的问题,提出一种名为SlowFast-SMC-ECA (SlowFast-Spatio-Temporal Excitation、Channel Excitation、Motion Excitation-Efficient Channel Attention)的农事活动行为识别算法。[方法]该算法主要基于SlowFast模型,通过改进Fast Pathway和Slow Pathway中的网络结构来提高对于农事活动中手部动作特征和关键特征的提取能力。在Fast Pathway中,引入多路径激励残差网络的概念,通过在信道之间插入卷积操作来增强它们在时域上的相互关联性,从而更好地捕捉快速运动信息的细微时间变化。在Slow Pathway中,将传统的Residual Block替换为ECA-Res结构,以提高对通道信息的捕获能力。这两项改进有效地加强了通道之间的联系,提升了特征之间的语义信息传递,进而显著提升了农事行为识别的准确率。此外,为了解决数据集中类别不均衡的问题,设计了平衡损失函数(Smoothing Loss),通过引入正则化系数,平衡损失函数可以有效地处理数据集中的类别不均衡情况,提高模型在各个类别上的表现。[结果和讨论]改进的SlowFast-SMC-ECA模型在农事行为识别中表现出良好的性能,各类行为的平均识别精度达到80.47%,相较于原始的SlowFast模型有约3.5%的提升。[结论]本研究在农事行为识别中展现出良好的性能。这对农业生产的智能化管理和决策具有重要意义。