Bare finger 3D air‐touch system with embedded multiwavelength optical sensor arrays for mobile 3D displays

A camera‐free 3D air‐touch system was proposed. Hovering, air swiping, and 3D gestures for further interaction with the floated 3D images on the mobile display were demonstrated. By embedding multiwavelength optical sensors into the display pixels and adding angular‐scanning illuminators with multiwavelength on the edge of the display, the flat panel can sense images reflected by a bare finger from different heights. In addition, three axis (x, y, z) information of the reflected image of the fingertip can be calculated. Finally, the proposed 3D air‐touch system was successfully demonstrated on a 4‐inch mobile 3D display.     

Active hashing and its application to image and text retrieval

In recent years, hashing-based methods for large-scale similarity search have sparked considerable research interests in the data mining and machine learning communities. While unsupervised hashing-based methods have achieved promising successes for metric similarity, they cannot handle semantic similarity which is usually given in the form of labeled point pairs. To overcome this limitation, some attempts have recently been made on semi-supervised hashing which aims at learning hash functions from both metric and semantic similarity simultaneously. Existing semi-supervised hashing methods can be regarded as passive hashing since they assume that the labeled pairs are provided in advance. In this paper, we propose a novel framework, called active hashing, which can actively select the most informative labeled pairs for hash function learning. Specifically, it identifies the most informative points to label and constructs labeled pairs accordingly. Under this framework, we use data uncertainty as a measure of informativeness and develop a batch mode algorithm to speed up active selection. We empirically compare our method with a state-of-the-art passive hashing method on two benchmark data sets, showing that the proposed method can reduce labeling cost as well as overcome the limitations of passive hashing.     

装备虚拟仿真训练应用研究

在培训过程中,为了减轻受训人员心理“畏惧感”,研制了对应的模拟训练器和虚拟仿真训练软件.受训人员通过虚拟仿真训练软件、模拟训练器逐步到实装的阶梯式培训,能够很快适应实装岗位需求,快速达到培训目的.论文基于虚拟仿真思想,在计算机虚拟仿真环境下建立了装备虚拟仿真模型,对仿真训练软件进行应用研究.同时给出了一种虚拟仿真开发的方法和步骤,可以在不同武器系统平台间移植应用.     

A mathematical morphology-based multi-level filter of LiDAR data for generating DTMs

Light detecting and ranging(LiDAR)technology has become an efective way to generate highresolution digital terrain models(DTMs).To generate DTMs,point measurements from non-ground features,such as buildings,vegetation and vehicles,have to be identifed and removed while preserving the terrain points.This paper proposes an efcient mathematical morphology-based multi-level flter to generate DTMs from airborne LiDAR data.Preliminary non-ground points are frst identifed with the characteristics of the multiecho airborne LiDAR data.The localized mathematical morphology opening operations are then immediately applied to the remaining points.By gradually increasing the window size of the flter and using a dynamic critical gradient threshold,the non-ground points are removed,while the ground points are preserved.Eight samples were chosen from eight sites provided with the ISPRS Commission III,Working Group 3,to evaluate the accuracy of our algorithm.Both the qualitative and quantitative experiment analyses show that our morphologybased multi-level flter method achieves promising results,not only in flat urban areas but also in rural areas,especially in preserving complex terrain details,while non-ground spatial objects are removed.     

Stabilization of One‐Dimensional Schrödinger Equation with Variable Coefficient under Delayed Boundary Output Feedback

This article considers stabilization of a one‐dimensional Schrödinger equation with variable coefficient and boundary observation which suffers from an arbitrary given time delay. We design an observer and predictor to stabilize the system. The state is estimated in the time span where the observation is available, and also predicted in the time interval where the observation is not available. It is shown that the estimated state feedback stabilizes the system exponentially. A numerical simulation is presented to illustrate the effect of the stabilizing controller.     

Simulation-based time-dependent reliability analysis for composite hydrokinetic turbine blades

The reliability of blades is vital to the system reliability of a hydrokinetic turbine. A time-dependent reliability analysis methodology is developed for river-based composite hydrokinetic turbine blades. Coupled with the blade element momentum theory, finite element analysis is used to establish the responses (limit-state functions) for the failure indicator of the Tsai–Hill failure criterion and blade deflections. The stochastic polynomial chaos expansion method is adopted to approximate the limit-state functions. The uncertainties considered include those in river flow velocity and composite material properties. The probabilities of failure for the two failure modes are calculated by means of time-dependent reliability analysis with joint upcrossing rates. A design example for the Missouri river is studied, and the probabilities of failure are obtained for a given period of operation time.     

基于T89C51AC2多点温度检测系统的设计

系统采用主从式结构,采用T89C51AC2作为控制元件.在从站电路中,根据PT100铂电阻的温度特性,设计测温电桥,输出电压变量,并将此变量由测温点,经过集成运放TL064组成的精密放大电路放大输出,经A/D转换送至从控制器.从控制器处理转换并显示当前测控点的温度,通过RS485总线将温度值传送到主站.主站采用轮询的方...     

基于VC 6.0的IC卡读写器二次开发的分析和实现

针对IC卡读写器的二次开发在VC 6.0环境下的实现中的关键问题,以深圳庆通公司的便携式接触式IC卡读写器为例,本文结合管理信息演示系统的设计与实现,进行详细的说明。     

一种广义粗糙集精度的新度量

在粗糙集理论中,精度是量化由粗糙集边界引起的不精确性的一种重要数字特征,但传统精度没有考虑到由关系覆盖导出的颗粒大小。本文通过引入独立邻域集的概念,给出一种新的广义粗糙集精度的度量。