Externalizing cognitive maps via map reconstruction and verbal description

Universal Access in the Information Society - Helping blind people to build cognitive maps of an environment is one of the aims of several assistive systems. In order to evaluate such assistive...     

基于神经网络的砼内缺定量识别

砼内缺的无损检测和准确识别是许多中,大型混凝土工程质量测试中的难题。然而目前的砼内缺无损检测方法尚处于定性和半定量的水平。把智能信号处理方法与超声无损检测方法相结合,提出了一种基于神经网络的砼内缺识别方法,实现了砼内缺识别的定量化和智能化,这对确保工作的质量和安全使用具有重要的实际意义。     

简捷高效的视频捕捉系统的设计和实现

动态图像的视频捕捉系统是多媒体应用的重要部件,本文基于Ｂｔ８４８单片解决方案,介绍了视频捕捉系统的简捷硬件结构,说明了它的软件构造框架和各部分的功能,给出了采用此视频捕捉系统的可视电话应用实例。     

压缩机状态监测系统的研制

介绍以压缩机为对象,提出了由多种模块组成的分布信息处理系统的构思,阐明了基于结构层次化和功能模块化的状态监测系统的软、硬件设计方案。该系统同速度、高精度、多通道等特点。     

嵌入式应用系统的可靠性设计初探

嵌入式应用系统是一个有计算机内核的智能化电子系统。集成电路的超长寿命、计算机的软件介入与智能化的控制能力,决定了嵌入式应用系统全新的可靠性设计观念。这些新观念是：基于出错概率的多值可靠性、确定应用系统的可靠性等级、建立应用系统的可靠性模型、应用系统的本质可靠性设计与可靠性控制设计。     

Simple and cost-effective fabrication of two-dimensional plastic nanochannels from silica nanowire templates

Nanofluidic systems are attracting a great deal of interest due to their fundamental significance and potential applications in chemistry, biology and physics. However, high fabrication cost, expensive equipments and complicated fabrication process of most current fabrication techniques prevent lots of researchers from entering the nanofluidic field. Here we present a quick, simple and cost-effective method for fabricating two-dimensional (2D) nanochannel in polycarbonate (PC) substrates. Silica nanowires, taper-drawn from commercially available single-mode fiber were used as templates and embedded in the PC substrate by hot embossing. The nanochannels were created after removing the nanowires by hydrofluoric acid (HF) etching. Poly(dimethylsiloxane) (PDMS) was used to seal the nanochannel reversibly. Nanochannels with widths range from 100 to 900 nm and lengths up to several millimeters were obtained. Various nanostructures including integrated micro and nanochannels, nanochannel array, bent nanochannel and cross-shaped nanochannel were fabricated and characterized by fluorescent microscope, scanning electron microscope (SEM) and atomic force microscope (AFM).     

Overlapping melodic alarms are almost indiscriminable

OBJECTIVE: We explore how accurately and quickly nurses can identify melodic medical equipment alarms when no mnemonics are used, when alarms may overlap, and when concurrent tasks are performed. BACKGROUND: The international standard IEC 60601-1-8 (International Electrotechnical Commission, 2005) has proposed simple melodies to distinguish seven alarm sources. Previous studies with nonmedical participants reveal poor learning of melodic alarms and persistent confusions between some of them. The effects of domain expertise, concurrent tasks, and alarm overlaps are unknown. METHOD: Fourteen intensive care and general medical unit nurses learned the melodic alarms without mnemonics in two sessions on separate days. In the second half of Day 2 the nurses identified single alarms or pairs of alarms played in sequential, partially overlapping, or nearly completely overlapping configurations. For half the experimental blocks nurses performed a concurrent mental arithmetic task. RESULTS: Nurses' learning was poor and was no better than the learning of nonnurses in a previous study. Nurses showed the previously noted confusions between alarms. Overlapping alarms were exceptionally difficult to identify. The concurrent task affected response time but not accuracy. CONCLUSION: Because of a failure of auditory stream segregation, the melodic alarms cannot be discriminated when they overlap. Directives to sequence the sounding of alarms in medical electrical equipment must be strictly adhered to, or the alarms must redesigned to support better auditory streaming. APPLICATION: Actual or potential uses of this research include the implementation of IEC 60601-1-8 alarms in medical electrical equipment.     

Model-based tracking by classification in a tiny discrete pose space

A method is presented for tracking 3D objects as they transform rigidly in space within a sparse range image sequence. The method operates in discrete space and exploits the coherence across image frames that results from the relationship between known bounds on the object's velocity and the sensor frame rate. These motion bounds allow the interframe transformation space to be reduced to a reasonable and indeed tiny size, comprising only tens or hundreds of possible states. The tracking problem is in this way cast into a classification framework, effectively trading off localization precision for runtime efficiency and robustness. The method has been implemented and tested extensively on a variety of freeform objects within a sparse range data stream comprising only a few hundred points per image. It has been shown to compare favorably against continuous domain iterative closest point (ICP) tracking methods, performing both more efficiently and more robustly. A hybrid method has also been implemented that executes a small number of ICP iterations following the initial discrete classification phase. This hybrid method is both more efficient than the ICP alone and more robust than either the discrete classification method or the ICP separately     

神经网络自适应噪声对消的研究

基于神经网络中自适应线性单元(ADALINE),结合传统自适应噪声对消原理,提出了一种基于ADALINE的改进型自适应噪声对消器。经仿真和实例证明,具有很强的噪声滤除能力和鲁棒性。     

略论盐城“水利梦”

认真学习领会习近平总书记提出的"中国梦",结合实际,论述了如何转化为干好盐城水利工作的动力,见诸行动,出实策、鼓实劲、办实事,力争实现盐城的"水安全梦"、"水资源梦"、"水环境梦"、"水生态梦"、"水经济梦"和"水文化梦",同心践行和助力"中国梦",真正实现人水相依、和谐共生、良性循环、全面繁荣。