模拟开关矩阵MT8816在视频矩阵切换器中的应用

介绍了模拟开关矩阵芯片ＭＴ８８１６的性能，详细说明了单片机控制的视频矩阵切换器的硬件电路设计和软件设计。

配电网重构的均衡视在精确矩法

结合配电网的辐射型结构特点 ,类比力学中力矩的概念 ,给出了视在精确矩的定义。配电网重构问题实质是一负荷平衡问题。基于这种平衡思想和视在精确矩的概念 ,提出了配电网络重构的均衡视在精确矩法 ,即开关的闭合或开断以是否使得开关两端的视在精确矩达到均衡为依据。该方法以开关两端的视在精确矩和的差值ΔET作为衡量负荷的平衡尺度 ,以ΔET量的大小来判断开关的闭合或开断 ,即选择具有最大ΔET值的开关予以闭合 ,而选择开关闭合后形成的单环网内具有最小ΔET的支路予以开断 ,从而达到平衡负荷并获得较大的重构效益的目的。文中提出的视在精确矩法较好地反映了平衡的思想 ,并对此给出了详细的解释。文中提出的方法在实验算例上进行了验证 ,并和其它方法作了比较 ,算例结果表明了该方法简捷有效 。

高等级道路“视距”取值问题探讨

针对高等级道路行车速度高的特点,指出现行设计方法中视距取值存在的问题,并从驾驶员视觉特性出发,提出我国高等级道路设计中视距取值的依据。

一种视距与非视距混合环境下RSS定位方法

针对当前视距与非视距混合环境下无线定位精度不高且结果不太稳定问题,提出一种基于接收信号强度的动态定位方法.该方法采用混合高斯模型来同时刻画视距与非视距传播的影响,克服了现有方法中视距与非视距传播识别的难题,并利用动态期望最大算法来实时调整模型参数,以适应环境的时变特性.进一步,考虑到实际定位中测试位置几何关系对定位精度的影响,提出了基于最佳几何精度衰减因子组合的测试点选取方法.仿真实验表明,在视距与非视距混合环境下该方法不仅具有较高的定位精度,而且能够适应环境的动态变化.

基于时间周期的配电网络动态重构

提出一种基于时间周期的配电网络动态重构算法,该算法以改进的均衡视在精确矩法为基础,以一段时间内的收益最大为目标,开关操作总次数约束在目标函数中得到体现。在应用配电网络重构的均衡视在精确矩法时考虑了其物理含义,合理地引入了启发式规则,在闭合联络开关模拟形成单环网后寻找需要打开的网环开关时,有效地降低了搜索空间和计算量,加快了重构的过程。33母线和69母线测试系统的计算实例表明了所提算法的正确性和有效性。

REAL-TIME STEREO MATCHING ALGORITHM IN PHOTODYNAMIC THERAPY BINOCULAR SURVEILLANCE SYSTEM FOR PORT WINE STAIN

A stereo matching algorithm based on the epipolar line constraint is designed to meet the real-time and the accuracy requirements. The algorithm is applied to photodynamic therapy binocular surveillance system for port wine stain （PWS） when it monitors the position of the treatment region. The corner matching based on Hu moments is used to calculate the fundamental matrix of the binocular vision system. Experimental results are in agreement with the theoretical calculation.

深源地震折合能量的标度性及其与深度的关系(英文)

利用1987年1月至2001年12月的哈佛CMT目录和美国NEIC地震辐射能量目录 ,研究了全球范围内震源深度大于 70km的地震的辐射能量与地震矩之比 (或称折合能量 )随地震矩的变化及其与震源深度之间的关系 .结果表明对震源深度为 70～ 40 0km的地震 ,折合能量随地震矩的增加而降低 ;对于深度大于 40 0km的地震 ,折合能量随地震矩的增加而增加 .这一特征与浅源地震似乎很不相同 .

Greedy calibration method for binocular camera system via characteristic homography matrix

A plane-based and linear camera calibration technique without considering lens distortion is proposed in a greedy and intuitive framework for the binocular camera system. Characteristic homography matrix and consistency constraints in close range are employed in this calibration. First, in order to calculate the internal geometries of the cameras, total least-square fitting as a robust tool for the geometrical cost function is exploited to recover the accurate principal point of each camera from all the characteristic lines of the homography matrices for all model planes. Secondly, generic prior knowledge of the aspect ratio of pixel cells is incorporated into the system to obtain the exact principal length in each camera. Thirdly, extrinsic geometries are accurately computed for all planar patterns with respect to each monocular camera. Finally, the rigid displacement between binocular cameras can be obtained by imposing the consistency constraints in 3-space geometry. Both simulation and real image experimental results indicate that reasonably reliable results can be obtained by this technique. And the proposed method is sufficient for applications where high precision is not required and can be easily performed by common computer users who are not experts in computer vision.

A method of automatic plane detection without random search

Plane detection is a prerequisite for many computer vision tasks. This paper proposes a new method which can automatically detect planes from two projective images. Firstly, we modify Scott’s feature point matching method by post-processing its result with the concept of similarity, and then get the lines matching according to feature points matching based on the approximate invariance of the features’ distribution between two images. Finally, we group all feature points into subsets in terms of their geometric relations with feature lines as initial sets to estimate homography rather than by a random search strategy (like RANSAC) as in most existing methods. The proposed method is especially suitable to detecting planes in man-made scenes. This method is validated on real images.

Scaling of Reduced Energy or Apparent Stress and Its Seismological Significance

Comparison between the NEIC broadband radiated energy catalogue and the Harvard CMT catalogue provides information about apparent stress. In spite of its significant uncertainties and limited reliability, the clues obtained from this comparison seem interesting in the physics of earthquakes. Scaling of apparent stress provides information about the dynamic friction along an earthquake fault. Relation between reduced energy and seismic moment implies that for strike-slip earthquakes, velocity-dependent friction plays a predominant role, while for non-strike-slip earthquakes, slip-dependent friction is predominant. It is also found that strike-slip events with extremely low apparent stress tend to occur “in single”, which is applied to the prediction of the seismic tendency following the 2001 Qinghai-Xizang (Tibet) border M W7.8 earthquake.

Action Recognition from a Different View

In this paper,we propose a novel approach to recognise human activities from a different view.Although appearance-based recognition methods have been shown to be unsuitable for action recognition for varying views,there must be some regularity among the same action sequences of different views.Selfsimilarity matrices appear to be relative stable across views.However,the ability to effectively realise this stability is a problem.In this paper,we extract the shape-flow descriptor as the low-level feature and then choose the same number of key frames from the action sequences.Self-similarity matrices are obtained by computing the similarity between any pair of the key frames.The diagonal features of the similarity matrices are extracted as the highlevel feature representation of the action sequence and Support Vector Machines(SVM) is employed for classification.We test our approach on the IXMAS multi-view data set.The proposed approach is simple but effective when compared with other algorithms.

Bit-panel to realize gray-scale control of synchronous VGA display by passive OLED matrix

A bit-panel-plus-weight method has been proposed to realize gray-scale control of synchronous VGA display by passive matrix OLED.The presented VGA controller has been fabricated by FPGAs and can achieve a better result of gray-scale control by a 96*64 PMOLED panel.

Visual positioning of rectangular lead components based on Harris corners and Zernike moments

With the increasing necessities for reliable printed circuit board(PCB) product, there has been a considerable demand for high speed and high precision vision positioning system. To locate a rectangular lead component with high accuracy and reliability, a new visual positioning method was introduced. Considering the limitations of Ghosal sub-pixel edge detection algorithm, an improved algorithm was proposed, in which Harris corner features were used to coarsely detect the edge points and Zernike moments were adopted to accurately detect the edge points. Besides, two formulas were developed to determine the edge intersections whose sub-pixel coordinates were calculated with bilinear interpolation and conjugate gradient method. The last experimental results show that the proposed method can detect the deflection and offset, and the detection errors are less than 0.04° and 0.02 pixels.

Space shape finding FE analysis for suspension bridge based on CR formulation method

The problem of geometric non-linearity simulation for spacial cable system was solved by introducing the truss element based on corotational coordinate (CR) system, cable structure materials and node coordinates and automatic refreshing algorithms for element internal force. And the shape-finding problem for maneuvering profile was solved with the Newton-Raphson based on energy convergence criteria with search function. This has avoided the regular truss element assumption extensively used in traditional methods and catenary elements which have difficulties in practical application because of the complicated formulas. The use of CR formulation has taken into account the stiffness outside the cable plane via a geometric stiffness matrix, realizing the 3D space analysis of a cable bridge and improving the efficiency and precision for the space geometric non-linearity analysis and cable structure, and enabling more precised simulation of geometric form finding and internal force of the large span suspension bridge main cable under construction.

Video Events Recognition by Scene and Group Context

The ability to recognise video events has become increasingly more popular owing to its extensive practical applications.Most events will occur in certain scene with certain people,and the scene context and group context provide important information for event recognition.In this paper,we present an algorithm to recognise video events in different scenes in which there are multiple agents.First,we recognise events for each agent based on Stochastic Context Sensitive Grammar(SCSG).Then we propose the model of a scene in order to infer the scene in which the events occur,and we use a co-occurrence matrix of events to represent the group context.Finally,the scene and group context are exploited to distinguish events having similar structures.Experimental results show that by adding the scene and group context,the performance of events recognition can be significantly improved.

Uncalibrated visual servoing design for competitive networked robots

In this paper,a method with an eye-in-hand configuration is developed to hit targets during visual tracking for the TLS(Tele-Light Saber) game.It is not necessary to calibrate camera parameters and predict the trajectory of the moving object.Firstly,the expression of the image Jacobian matrix for the eye-in-hand configuration is proposed,and then an update law is designed to estimate the image Jacobian online.Furthermore,a control scheme is presented and the Lyapunov method is employed to prove asymptotic convergence of image errors.No assumption for the moving objects is needed.Finally,both simulation and experimental results are shown to support the approach in this paper.

Multi-view coordinate system transformation based on robot

The registration of point cloud is important for large object measurement.A measurement method for coordinate system transformation based on robot is proposed in this paper.Firstly,for obtaining extrinsic parameters,the robot moves to three different positions to capture the images of three targets.Then the transformation matrix X between camera and tool center point(TCP) coordinate systems can be calculated by using the known parameters of robot and the extrinsic parameters,and finally the multi-view coordinate system can be transformed into robot coordinate system by the transformation matrix X.With the help of robot,the multi-view point cloud can be easily transformed into a unified coordinate system.By using robot,the measurement doesn't need any mark.Experimental results show that the method is effective.

Unwrapping and stereo rectification for omnidirectional images

Omnidirectional imaging sensors have been used in more and more applications when a very large field of view is required.In this paper,we investigate the unwrapping,epipolar geometry and stereo rectification issues for omnidirectional vision when the particular mirror model and the camera parameters are unknown in priori.First,the omnidirectional camera is calibrated under the Taylor model,and the parameters related to this model are obtained.In order to make the classical computer vision algorithms of conventional perspective cameras applicable,the ring omnidirectional image is unwrapped into two kinds of panoramas:cylinder and cuboid.Then the epipolar geometry of arbitrary camera configuration is analyzed and the essential matrix is deduced with its properties being indicated for ring images.After that,a simple stereo rectification method based on the essential matrix and the conformal mapping is proposed.Simulations and real data experimental results illustrate that our methods are effective for the omnidirectional camera under the constraint of a single view point.