基于数据手套的逼真虚拟手的实现

在基于头盔、数据手套的虚拟现实系统中虚拟手的实现效果十分重要,传统的虚拟手模型将手掌和各手指分割为多个刚体,当虚拟手运动时在刚体连接处产生重叠或裂缝,严重影响了沉浸感。在此根据虚拟手的运动特点对其进行整体建模,并快捷地对数据手套采集的原始关节数据进行校正,在可编程图形硬件上利用顶点混合算法将校正后的数据作用于虚拟手模型来产生皮肤变形,在满足实时性的同时提供了逼真的视觉效果。最后还通过搭建实验系统验证了所述方法的可行性。     

基于非线性CSA的合成孔径雷达成像及问题

分析了非线性CS算法 (NCSA)的成像原理和非线性CS算法造成聚焦图像距离扭曲的原因 ;指出了非线性CS算法在实际应用中其参考频率的选择是唯一的 ,并提出了一种在大斜视角下进行多视处理的方法。计算机仿真证明了该方法的可行性。     

冗余系统费用模型及优化

根据冗余设计的不同形式 ,在Tillman并联系统费用模型的基础上引入了系统功能指标 ,并将其推广至其它形式的冗余系统 ,从而得到了一个较为完整的冗余系统费用模型。在此基础上 ,建立了用于优化并串联冗余系统设计的非线性混合整数规划模型 ,分别使用了模式搜索与启发式算法的组合算法以及遗传算法对其进行求解 ,着重讨论了两种方法的实现关键及各自的优劣。最后 ,经计算比较 ,提出了遗传算法与模式搜索、启发式算法相结合的求解方法 ,并说明了该方法的有效性。     

Optimizing Concurrent Product Development Process Using Genetic Algorithm

0　IntroductionTimesaving,timetomarketandcycletimereductionarethenewgoalsandaimsforenterprisesinordertosuccessfullycompeteintothemodernglobalmarket[1].Thereisnodoubtthatconcurrentconsiderationofproductandprocessdesignimprovesproductqualityandreducesthere-designwork,whichleadstoshorterproductlead-time.Buttheconcurrentdevelopmentfashionbringsaboutmoreobstaclessuchascomplextimeorder,informationandresourceconstrainednatureofrelationshipsbetweenactivitiestothedesignprocess,whichleadtothefactthatiti…     

基于GA优化的城市可持续发展评价的普适公式

在分析城市可持续发展指标体系的特征基础上,分别确定了用遗传算法优化的持续、协调、结构和集聚４类单项指标的发展指数的普适公式;并对可持续发展的不同层次指标分别采用广义对比分析法和层次分析法进行加权,建立了城市可持续发展的综合指数评价模型。模型应用于乌鲁木齐的可持续发展评价结果与实况定性分析结果一致。该评价模型简单、实用,具有可比性和通用性。     

Design of control invariant sets of planar systems

Control invariant sets play a key role in model predictive control. Using Lyapunov function, a technique is proposed to design control invariant sets of planar systems in a precise form. First, it is designed for a linear system in Brunovsky canonical form. Then, the result is extended to general linear systems. Finally, the nonlinear control systems are considered, and some sufficient conditions and design techniques are also obtained. Numerical examples are presented to illustrate the proposed design methods.     

调节大豆籽粒生育的生理生态因素

大豆籽粒是生殖生长时期植株光合产物主要存储库,鼓粒灌浆期籽粒的生长发育以及干物质积累的过程直接影响大豆的产量。因此,研究大豆籽粒的生长发育及其影响因素对提高产量至关重要。影响大豆籽粒生长发育的因素很多,从源库的改变、外界温度、光照、水分供应以及二氧化碳的浓度的影响,酶活性、内源物质含量的调节以及植物激素的调控等方面予以综述。参64。     

羊群行为加剧股票价格波动吗?

羊群行为是否加剧股票价格波动,已有研究甚至给出截然相反的结论.假定交易者买卖观点的转变主要受其对股票基础价值认知和其他交易者行为的影响,本文构建描述市场平均投资态度和股票价格变化的数学模型,利用离散动力系统的相关理论研究模型的稳定性,并根据金融市场稳定与否对羊群行为程度进行界定.研究结果表明,在轻度羊群效应区间内,股票价格相应地呈现微幅周期波动;在中度羊群效应区间内,股票价格在经历一段时间的阻尼式波动后收敛至均衡价格,并且在此区间中存在最优的羊群行为,它促使股票价格以最快的速度逼近均衡价格;而在重度羊群效应区间,股票价格发生大幅的非理性波动,可以导致股市严重泡沫和金融危机的产生.     

Further results on limitations of sampled-data feedback

To control continuous-time uncertain dynamical systems with sampled data-feedback is prevalent today,but the sampling rate is usually not allowed to be arbitrarily fast due to various physical and/or computational constrains.In this paper,the authors examine the limitations of sampled-data feedback control for a class of uncertain systems in continuous-time,with sampling rate not necessary fast enough and with the unknown system structure confined to a set of functions with both linear and nonlinear growth.The limitations of the sampled-data feedback control for the uncertain systems are established quantitatively,which extends the existing related results in the literature.     

Performance comparison of distributed state estimation algorithms for power systems

A newly proposed distributed dynamic state estimation algorithm based on the maximum a posteriori (MAP) technique is generalised and studied for power systems. The system model involves linear time-varying load dynamics and nonlinear measurements. The main contribution of this paper is to compare the performance and feasibility of this distributed algorithm with several existing distributed state estimation algorithms in the literature. Simulations are tested on the IEEE 39-bus and 118-bus systems under various operating conditions. The results show that this distributed algorithm performs better than distributed quasi-steady state estimation algorithms which do not use the load dynamic model. The results also show that the performance of this distributed method is very close to that by the centralized state estimation method. The merits of this algorithm over the centralized method lie in its low computational complexity and low communication load. Hence, the analysis supports the efficiency and benefits of the distributed algorithm in applications to large-scale power systems.