Mumford-Shah Regularizer with Contextual Feedback

We present a simple and robust feature preserving image regularization by letting local region measures modulate the diffusivity. The purpose of this modulation is to disambiguate low level cues in early vision. We interpret the Ambrosio-Tortorelli approximation of the Mumford-Shah model as a system with modulatory feedback and utilize this interpretation to integrate high level information into the regularization process. The method does not require any prior model or learning; the high level information is extracted from local regions and fed back to the regularization step. An important characteristic of the method is that both negative and positive feedback can be simultaneously used without creating oscillations. Experiments performed with both gray and color natural images demonstrate the potential of the method under difficult noise types, non-uniform contrast, existence of multi-scale patterns and textures.

面向实时流处理的多核多线程处理器访存队列

针对多核多线程处理器中乱序访存影响计算实时性的问题,在对典型访存队列进行研究的基础上提出了一种新的访存队列构建模型及其硬件结构.该模型采用窗口优化算法控制最差情况下的访存延迟,保证访存的实时性,同时又利用优化的乱序调度策略减少访存延迟.实验证明,该访存队列可控制最大访存延迟,与顺序访存相比,存储器具备更高的带宽,与传统的乱序访存相比较,可以充分满足计算的实时性需求,而存储器有效带宽基本不受影响,解决了多核多线程处理器承担实时流计算的基础难题.     

TMS320C6713B在船用捷联惯导系统中的应用

为了满足船用激光陀螺惯导系统的应用需要,设计基于DSP芯片TMS320C6713B和FPGA的导航计算机系统,FPGA实现对激光陀螺和加速度计输出信号的计数,完成DSP与外部的通信。该系统具有以TMS320C6713B为核心的单CPU结构,可以进行64位精度运算且运算速度快,能满足实时性要求。     

分布式故障诊断在SNMP中的模拟与应用

分析传统网络管理集中式及分层次体系结构的缺陷,提出分布式网络管理的体系结构,把用于大规模集成电路故障诊断的系统级故障诊断算法ADSD应用到计算机网络故障诊断中。为了验证计算机网络分布式故障诊断的可行性,在NS中嵌入ADSD算法,模拟整个算法的执行,对算法的执行效率如诊断延时、报文流量进行分析。在此基础上对原算法进行改进,以减小算法对正常网络应用的影响。通过对SNMP的模拟实验,验证在网络管理中引入分布式故障诊断的可行性。     

地铁屏蔽门人群挤压荷载测试系统的设计

为了解决当前地铁屏蔽门人群挤压荷载测试装置存在的自动化程度不高、产生的线荷载不精确不均匀的问题,综合计算机软件技术、自动控制技术和传感器技术设计了地铁屏蔽门人群挤压荷载测试系统.设计了计算机软件和PLC控制程序实现测试过程的自动控制.采用多点加载法,并对加载点引入闭环反馈控制来实现对荷载的精确控制.实验结果证明,设计的系统实现了测试的自动化,并解决了线荷载不精确不均匀的问题.     

1553B接口仿真测试系统设计及典型软件缺陷分析

介绍了一种1553B接口仿真测试软件硬件设计方案,详细介绍了自动化测试引擎设计以及Lua脚本语言的测试流程设计,并以某装备软件1553B通信接口测试中发现的一些具有代表性的接口问题为例,对1553B软件接口测试典型案例的测试设计、测试结果进行了较为详细的描述,介绍了如何设计有效的软件测试用例,高效地发现通信软件的设计缺陷和程序问题,提升了软件的质量.     

Pairwise Registration by Local Orientation Cues

Inspired by recent work on robust and fast computation of 3D Local Reference Frames (LRFs), we propose a novel pipeline for coarse registration of 3D point clouds. Key to the method are: (i) the observation that any two corresponding points endowed with an LRF provide a hypothesis on the rigid motion between two views, (ii) the intuition that feature points can be matched based solely on cues directly derived from the computation of the LRF, (iii) a feature detection approach relying on a saliency criterion which captures the ability to establish an LRF repeatably. Unlike related work in literature, we also propose a comprehensive experimental evaluation based on diverse kinds of data (such as those acquired by laser scanners, Kinect and stereo cameras) as well as on quantitative comparison with respect to other methods. We also address the issue of setting the many parameters that characterize coarse registration pipelines fairly and realistically. The experimental evaluation vouches that our method can handle effectively data acquired by different sensors and is remarkably fast.     

Terrain mapping under extreme light conditions with direct stereo matching method through aggregating matching costs by weight

One of the biggest problems in applying stereo vision techniques in field robotics is how to acquire 3D terrain maps under extreme light conditions. Through multiple exposures, the dynamic range of images can be increased. In this paper, instead of using existing lighting enhancement methods such as exposure fusion to increase the texture of 2D image, we propose that the matching costs of the images grabbed with multiple exposures are directly summed by weight. Compared with the previous methods such as exposure fusion, with the proposed method, it is not necessary to fuse the 2D images captured with multiple exposures, and for each pixel of the matching image, the local information in its local window can be better retained. Since it is possible that the camera is moved between exposures when the images are grabbed, the images captured with multiple exposures are aligned to the image acquired with auto exposure. In order to evaluate the performance of the proposed method, two different stereo matching algorithms were used: a local window-based method and semi-global method. Through experiments in laboratory and outdoors with a stereo vision camera fixed on a tripod and held in the hand, it was verified that the proposed method consistently allowed more valid points to be obtained and the 3D model of terrain can be built more accurately. Especially when the local window-based method was used, the proposed method performed much better.     

Computer and Smartphone Continuance Intention: A Motivational Model

This paper develops and tests a motivational model to explain the overall continuance intention to use computers and smartphones. Based on survey data from 192 undergraduate students, structural equation modeling analysis is used to report: (1) the independent effect of intrinsic motivation on the continuance intention to use computers and smartphones; (2) the independent effect of extrinsic motivation on the continuance intention to use computers but not smartphones; (3) intrinsic motivation mediating the effect of extrinsic motivation on the continuance intention to use computers; (4) the independent effect of technology cognizance on the continuance intention to use computers but not smartphones; (5) intrinsic motivation positively influencing extrinsic motivation and technology cognizance, with respect to both devices. This research contributes to an improved understanding of the independent and interrelated effects of intrinsic and extrinsic motivations to use technological devices. The findings have important implications for theory and practice regarding the overall use of technology.