Scheduling Optimization of Space Object Observations for Radar

An optimizing method of observation scheduling based on time-division multiplexing is proposed in this paper,and its efficiency is verified by outdoor experiments.The initial observation scheduling is first obtained by using a semi-random search algorithm,and secondly the connection time pair(CTP) between adjacent objects is optimized by using a genetic algorithm.After obtaining these two parameters,the fimal observation scheduling can be obtained.According to pre-designed tracks between each adjacent objects in observation order,the seamless observation of neighboring targets is derived by automatically steering the antenna beam,so the observation efficiency is improved.     

Active contour model based measurement of distance of material serial sections

The measurement of thickness of material removed between serial sections is a crucial step of threedimensional reconstruction. Active contour model is an efficient method for contour detection of objects on an image. Based on the segmentation of the FeAl/ZrO2 composite image by using adaptive threshold, the gradient vector flow （GVF） snake was used to detect the contour of the indent. The horizontal diagonal length and the vertical diagonal length of the indent contour were acquired by measuring the distance from the uppermost snaxel to the lowermost snaxel and that from the leftmost snaxel to the rightmost snaxel respectively. Then the final diagonal length was gotten by averaging the vertical diagonal length and the horizontal diagonal length. The Vickers indenter was made by a square pyramidal-shaped diamond with opposite faces at an angle of 136°, so the geometrical relation was established between the thickness of material removed between two successive serial sections and the difference of diagonal length on the two serial sections. Based on the relation, the thickness of material removed between two successive serial sections was calculated using the two successive diagonals.     

Human-Object Interaction Recognition Based on Modeling Context

This paper proposes a method to recognize human-object interactions by modeling context between human actions and interacted objects. Human-object interaction recognition is a challenging task due to severe occlusion between human and objects during the interacting process. Since that human actions and interacted objects provide strong context information, i.e. some actions are usually related to some specific objects, the accuracy of recognition is significantly improved for both of them. Through the proposed method, both global and local temporal features from skeleton sequences are extracted to model human actions. In the meantime, kernel features are utilized to describe interacted objects. Finally, all possible solutions from actions and objects are optimized by modeling the context between them. The results of experiments demonstrate the effectiveness of our method.     

Scheduling Optimization of Space Object Observations for Radar

An optimizing method of observation scheduling based on time-division multiplexing is proposed in this paper,and its efficiency is verified by outdoor experiments.The initial observation scheduling is first obtained by using a semi-random search algorithm,and secondly the connection time pair(CTP) between adjacent objects is optimized by using a genetic algorithm.After obtaining these two parameters,the final observation scheduling can be obtained.According to pre-designed tracks between each adjacent objects in observation order,the seamless observation of neighboring targets is derived by automatically steering the antenna beam,so the observation efficiency is improved.     

Pseudo minimum translational distance between convex polyhedra (Ⅱ)——Robot collision-free path planning

By using the pseudo minimum translational distance between convex objects, this paper presents two algorithms for robot path planning. First, an analytically tractable potential field is defined in the robot configuration space, and the concept of virtual obstacles is introduced and incorporated in the path planner to handle the local minima of the potential function. Second, based on the Lipschitz continuity and differentiability of the pseudo minimum translational distance, the flexible-trajectory approach is implemented. Simulation examples are given to show the effectiveness and efficiency of the path planners for both mobile robots and manipulators.     

Activity-based resource capability modeling

To analyse and optimize a enterprise process in a wide scope, an activity-based method of modeling resource capabilities is presented. It models resource capabilities by means of the same structure as an activity, that is, resource capabilities are defined by input objects, actions and output objects. A set of activity-based resource capability modeling hales and matching rules between an activity and a resource are introduced. This method can not only be used to describe capability of manufacturing tools, but also capability of persons and applications, etc. It unifies methods of modeling capability of all kinds of resources in an enterprise and supports the ootimization of the resource allocation of a orocess.     

Separation theory of the incident and scattered sound fields in spherical coordinate

By the spherical wave spectrum transform,the sound pressures on the two spherical surfaces surrounding the scattering objects with arbitrarily-shaped sur-faces are decomposed into spherical wave components that propagate in a known manner,the relationships between the spherical wave components of the same order on the two spherical surfaces are established by the wave field extrapolation theorem,and the formula of the separation theory in the spherical coordinate is established in the wave-number domain. After separating the scattered pressure,the total scattered field can be obtained by holographic reconstruction and predic-tion. In order to overcome the instability of acoustic inverse problem,a new wave-number domain filter technique is proposed. It is proved that,as long as the two holographic spherical surfaces are taken to be close enough,the singularity of the separation formula can be avoided. The results of numerical simulation dem-onstrate the feasibility and validity of the separation theory.     

Two Efficient Techniques to Simplify the Excitation Setting Problem in R-FDTD Algorithm

As a lately developed technique for FDTD, R-FDTD (reduced-FDTD) algorithm is complicated for dealing with the problem of excitation setting. In order to get rid of such difficulty, two simple techniques are proposed. One technique is to classify field points into two types according to the value of electric divergence equa-tion. The other technique is subregion connection. The corresponding modified R-FDTD can not only inherit the memory-efficient character, but also eliminate the complexity aroused by the existence of excitation and conduc-tors. Simulation results are compared between those obtained from traditional FDTD and those from R-FDTD.Good agreement is observed.     

Revealing of major factors in the directional thermal radiation of ground objects——A new way for improving the precision of directional radiant temperature measuring and data analysis

This paper is devoted to eliminating the noise from the measuring of directional thermal radiation for ground objects. Specifically, we think that the noise is mainly due to the variance of components in the field of view of the sensor with the view angle changing and to the heat balance change on the ground during the period of measurement. The authors present two new observation methods named as "constant area method by thermal camera" and "concurrent method by dual sensors" respectively. The experiments show that the data obtained by these methods abide by some regularly directional distribution, which is totally different from the data from the former methods. The analysis of the major factors in the directionality of thermal radiation is also made in the paper.     

Hardware-Software Co-Simulation for SOC Functional Verification

A hardware-software co-simulation method for system on chip (SOC) design is discussed. It is based on an instruction set simulator (ISS) and an event-driven hardware simulator, and a bus interface model that is described in C language provides the interface between the two. The bus interface model and the ISS are linked into a singleton program the software simulator, which communicate with the hardware simulator through Windows sockets. The implementation of the bus interface model and the synchronization between hardware and software simulator are discussed in detail. Co-simulation control of the hardware simulator is also discussed.     

Pseudo minimum translational distance between convex polyhedra (I) Definition and properties

Based on the concept of gauge function, the pseudo minimum translational distance (PMTD) between two convex objects is defined in this paper. PMTD not only provides a measure of the clearance between two separating objects, but also quantifies the penetration of two objects intersecting each other. It is proved that the PMTD is differentiable almost everywhere w. r. t. the configuration variable of the objects. Algorithms for calculating PMTD and its derivative are also presented.     

射线算法在碰撞检测中的应用

介绍了用射线算法进行碰撞检测和确定碰撞位置,并将该算法应用到碰撞响应的实现．这种算法不仅用于检测两个物体之间的碰撞,也适用于具有大量物体的虚拟环境中的碰撞检测,还能够用于在虚拟环境中进行物体的拾取等．     

道路网络中移动对象的连续反k最近邻查询算法

在道路网络中,对象的位置和运动被约束在网络中,对象之间的距离不是传统的欧氏距离,而是由网络连通性决定的网络距离,基于欧氏空间的反k最近邻查询算法不适用于道路网络。为了解决道路网络中移动对象连续的反k最近邻查询问题,给出了道路网络的一种索引结构及一种利用扩展树处理查询的方法,在此基础上,提出了道路网络中适用与单、双色连续反k最近邻查询算法（CRkNNMA算法）,证明了该算法的正确性。     

x-射线前散射图像物体真实灰度级的图像处理

为了准确提取物体的有效特征值,得到目标物体的真实灰度级,以前散射图像为例,建立了目标物体、背景物体及重叠区域灰度级之间的数学模型来描述物体间的重叠关系,把多个物体重叠问题简化为两个物体重叠问题.根据x-射线与物质相互作用关系、x-射线源类型、探测器通道数等对重叠关系模型进行转换、简化、推导,得到目标物体真实灰度级模型.将测得的80组灰度级代入目标物体真实灰度级模型中进行求解,结果表明,模型误差在10%以内,该模型算法有效可行.     

一种室内高动态环境的机器人定位方法

该文提出一种能让机器人在室内动态环境中进行长时间稳定定位的方法.该方法既能实现对高动态物体的过滤又能实现半静态物体的更新,在去除动态物体对定位性能影响的同时还能利用半静态物体中提供的定位信息提高定位性能.把动态物体的处理分为高动态物体的滤除和半静态物体的更新两部分.对于高动态物体滤除,考虑到定位系统的特性,提出延迟对比...     

运动干涉检测的优化算法

对做复杂运动的几何对象进行运动干涉检测通常计算量很大,它引起两个问题：①检测次数多,效率低;②由于误差的积累导致算法可靠性不高。本文以解决这两个问题为目的,提出了利用最大相对速度和距离变量确定时间间隔的运动干涉检测算法,并在此基础上引入模糊逻辑来控制时间裕度,使时间间隔适当增大,从而让这一算法无论在效率还是在可靠性方面都有了提高。并利用算例证明了该算法的稳定性和有效性。     

关于物体系机械能的讨论

物体系的机械能的变化与其非保守内力和非保守外力的相关。在非保守外力不为零时,非保守外力的功随不同的惯性系而变化。因此物体系的机械能在某一惯性系中守恒时,在其他惯性系中不一定守恒。只有在两个惯性系相对运动的速度方向与物体系所受的非保守外力的方向垂直时,物体系的机械能在两个惯性系中才都守恒。     

论宋代咏物词的两大创作范式

文章把宋代咏物词分为两大创作范式。第一种范式重在摹写物态,具体写法又有状物与体物二种。状物者力求穷形尽相,即"尽物之态";体物者力求潜心于物,以"穷物之情"。第二种范式重在即物言情,具体也可分为两种,一种是托物言志,即借物之特征以寄寓某种人格精神;另一种为因物寄情,即借客观事物作为引发情感的触媒。     

GIS中空间对象的不确定性研究

重点讨论了空间数据不确定性的概念、模型及研究方法,建议用目标模型和场模型来分别表示两类不同的空间对象,论述了空间统计学、模糊集理论、粗集理论、遗传算法、反思模型关数据不确定性研究中的应用,并给出了若干应用例子。     

数据驱动的二维点集自适应聚类算法

这里针对二维点集的聚类问题提出了一种新的自适应算法．该算法首先采用特征滤波器,提取样本集中具有线性特征的点,同时生成样本点之间的相互关系;然后根据相互关系,自适应地生成线状和球状分布的分类．实验结果表明,该算法不仅能够成功地对包含有多种分布的样本进行分类,而且具有较强的抗噪声能力．