协同虚拟维修过程中的虚拟人体维修操作控制

针对操作人员难以在有限的光学运动捕捉设备捕捉范围内自由运动的问题,开展了协同虚拟维修过程中的虚拟人体维修操作控制研究。基于光学运动捕捉设备对操作人员的下肢动作进行捕捉,根据实时识别结果控制虚拟人体进行大范围运动。针对维修操作过程中的虚拟人体手部运动控制,分析了虚拟人体的手部交互过程,提出了一种基于动态贝叶斯网络的维修操作智能辅助方法。以某液压缸协同式虚拟维修操作仿真平台为例验证了方法的有效性。该方法实现了对虚拟人体维修操作过程的有效控制,具有实时性好、交互性与感知性强等优点。     

典型陆军部队装备维修作业能力评估系统仿真建模研究

针对陆军部队维修作业仿真评估需求,提出了一套仿真模型设计方案。分析了部队维修作业能力仿真评估原理,进而明确了评估模型需求;给出了维修任务生成、维修保障系统建模方案;结合备件调度和保障设备使用过程,设计了维修保障资源模型。为陆军部队装备维修作业能力评估提供建模基础,用于支撑部队维修作业能力仿真评估系统的设计和应用案例研究。     

群体演出活动服装虚拟仿真系统设计与实现

服装在群体演出活动中发挥重要作用,直接影响整体演出效果呈现。为实现群体演出活动服装的虚拟设计和虚拟演练目标,设计实现群体演出活动服装虚拟仿真系统。利用CLO3D建立人体模型,构建服装个体模型,将人体和服装模型导入Unity后,调整服装材质并且添加纹理图,在Unity中复制成群体,开发演出场景虚拟仿真的交互界面,实现群体演出服装整体效果的设计与可视化虚拟仿真。仿真结果表明,虚拟仿真技术能够模拟出群体演出活动的大体效果,节约排练成本,缩短排练的周期。     

仿真技术在足球整体进攻训练中的应用

仿真技术优势明显,在足球运动应用领域有着广阔前景。目前足球进攻训练大多以直观、经验和现场实践为主,缺少专业化的情景再现和系统化的理论支持。利用VisualC++开发平台和计算机模拟仿真编程设计方法将足球训练虚拟化,再现不同比赛训练场景下足球整体进攻演练。结果显示仿真技术实现的训练情境远多于实际,可作为足球整体进攻训练的辅助工具,丰富足球整体进攻的训练手段,帮助球员准确理解战术体系,推动足球训练的科学化发展。     

Nuclear Norm Subspace System Identification and Its Application on a Stochastic Model of Plague

The discrete-time model of plague is deduced by zero-order holder based on the continuoustime model. Due to the existence of stochastic disturbances, the stochastic model is given corresponding to the discrete-time model. The state estimation and noise reduction of the stochastic model are achieved by designing Kalman filter. Nuclear norm minimization is to structure the low-rank matrix approximation instead of the singular value decomposition in the process of subspace system identification. According to the plague data from the World Health Organization, the system matrices and noise intensity of the model are identified. Simulations are carried out to show the higher approximation capability of the proposed method.     

Introducing an External Terminal Operator or Not? The Decision of Ports in a Duopoly Market

Facing with increasing competition, many ports are taking innovative approaches to improve productivity and profits. Among a variety of methods, introducing external terminal operators(ETOs) while the port acts as a landlord to collect "rents" from those operators for conducting terminal activities inside the port is regarded as an effective way and is commonly observed in practices.This paper analyzes the decisions of two competing ports about whether to introduce their respective ETOs using a three-stage non-cooperative game model when there already exists a port's self-operation terminal operator(STO). At the first stage, the two ports simultaneously decide whether to introduce an ETO. If a port decided to introduce an ETO, at the second stage, it will further decide the unit fee to charge from the ETO. At the third stage, the two ports and the introduced ETO(s) simultaneously decide their respective profit-maximizing output levels. The findings indicate the equilibrium is both ports will introduce their respective ETOs, but when the ports and ETOs are substitutable in the sense of having the same level of productivity, the equilibrium solution is only one port should introduce an ETO. And simulation results show that even if one of ETOs is inefficient this still hold true.     

The Differentiated Effect of Administrative Policy in China's Housing Market——Based on the Heterogeneous Households Multi-Agent Model

Since 2010, Chinese government has introduced a series of administrative policies to limit speculation in the housing market to stabilize price fluctuations and keep the housing market in a healthy state of development. In order to investigate whether administrative policy can play its due role, this paper constructs a comprehensive bottom-up housing market heterogeneous households multiagent model(HHMAM) to undertake research on the differentiated effect of administrative policy in different cities. The empirical studies find that: 1) Administrative policy that increases interest rates will cause housing prices to continue to decline in the long term, but they will resume a rising trend after reaching the lowest point; 2) If the government cancels a property-purchasing limitation, housing prices will continue to rise; and 3) investors tend to invest in 1~(st)-tier cities due to the high demand and greater likelihood of appreciation in these cities.     

A New Upper Bound on the Order of Affine Sub-families of NFSRs

Journal of Systems Science and Complexity - Nonlinear feedback shift registers (NFSRs) are widely used as building blocks in the design of stream ciphers. Let NFSR(f) be an NFSR with the...     

Adaptive Control of the Structural Balance for a Class of Complex Dynamical Networks

In social networks, the structural balance is a state of a group of individuals(nodes) with established mutual relationships(connection relationships) between them. It is easy to see that a social network can be described by a complex dynamical network model composed of the nodes subsystem(NS) and the connection relationships subsystem(CS), where the two subsystems are usually coupled with each other. It implies that the dynamic changes of nodes' states may cause the structural balance in CS. However, few papers have discussed the relationship between the structural balance and the specific dynamic changes of the nodes' states. This paper proposes a model of complex dynamical networks, and mainly focuses on the dynamic changes of states in NS which can lead to the structural balance in CS. It is proved that if each state in NS is doing a specific dynamic motion via the controller with the parameter adaptive law, then the CS can track a given structural balance matrix via the effective coupling and the structural balance can be achieved. Such a result can be regarded as an explanation of the relationship between the structural balance and the specific dynamic changes of the nodes' states. Finally, the simulations verify the effectiveness of the proposed method.     

Robust H_2/H_∞ Fuzzy Filtering for Nonlinear Stochastic Systems with Infinite Markov Jump

Robust fuzzy filterings for a class of nonlinear stochastic systems with infinite Markov jump are explored based on T-S fuzzy model approach in this paper. First of all, the exponentially mean square stable filter with a prescribed H∞ performance is designed via linear matrix inequalities(LMIs). Secondly, H2/H∞ fuzzy filtering is solved in terms of LMIs by minimizing the estimation error energy under the worst case fuzzy disturbance. The corresponding fuzzy filter parameters can be received by convex optimization algorithms. And lastly, two illustrative examples are performed to manifest the validity of the proposed methods.