Probabilistic Bit Stream Neural Chip: Theory

A design for a neural network chip is proposed using probabilistic bit streams to represent real values. This paper analyzes the performance of the proposed neurons in this design and demonstrates that very simple operations can be used to obtain the desired functionality. It is also shown that a suitable ‘activation function’ for neurons of this type can be obtained using the interaction of two probability distributions. Finally, the paper introduces a variant of the back-propagation learning algorithm which involves computing the derivatives of the output with respect to individual weights in a network of such units.     

基于超像素分割的无线内窥镜出血图像检测

将图像形态学处理和计算机辅助诊断方法应用于无线内窥镜出血图像检测。在对无线内窥镜图像进行形态学处理和超像素分割的基础上,提出红色纯度特征,应用最小二乘支持向量机分类器对分割后的图像进行分类。试验结果表明,该方法能够有效地检测无线内窥镜图像中的出血区域,敏感性、特异性和准确率分别达到了99%、94%和95%,可以作为临床医生的辅助诊断工具。     

The Milling of Wool Garments in Perchloroethylene: A Review of Processing Procedures and Practice

The milling of wool garments in perchlorethylene to produce lamb'swool, cashmere, Shetland and other finishes is now widely used. The paper reviews existing procedures for milling wool garments in solvent and discusses variables important in achieving the required uniform finish.     

Automatic Differentiation and Interval Arithmetic for Estimation of Disequilibrium Models

Nonlinear estimation problems have a unknown number of stationary points. Interval arithmetic is a promising method that eliminates all but the global optimum. Automatic differentiation provides users with a convenient method of computing the gradient and Hessian of nonlinear functions. These two can be combined to provide an efficient and convenient global optimization process.     

基于无线传感器网络的移动目标导航方法

为降低导航方法对移动目标配置的要求,并为移动目标提供在线式导航,提出一种基于无线传感器网络的移动目标导航方法.该方法使用无线传感器网络信息进行导航环境描述,建立影响移动目标前进的多种环境因素的势场模型,结合最短路径与最安全路径,提出一种基于代价的导航决策方法,根据导航代价最小的原则,进行移动目标的导航.分析表明,该导航算法能够满足在线导航的要求,实现移动目标的高精度导航.     

普及路漫漫——SATA 3．0＋USB 3．0产品市场现状分析

尽管USB3．0与SATA3．0技术从理论上来看能带来很大的性能提升,将为存储行业带来巨大变革．然而在市场上。目前采用这两种新技术的实际产品并不多。是产品质量问题？价格太高？还是真实性能提升并不大呢？     

A Comparison of Inferences about Containers and Surfaces in Small-Scale and Large-Scale Spaces

Inference mechanisms about spatial relations constitute an important aspect of spatial reasoning as they allow users to derive unknown spatial information from a set of known spatial relations. When formalized in the form of algebras, spatial-relation inferences represent a mathematically sound definition of the behavior of spatial relations, which can be used to specify constraints in spatial query languages. Current spatial query languages utilize spatial concepts that are derived primarily from geometric principles, which do not necessarily match with the concepts people use when they reason and communicate about spatial relations. This paper presents an alternative approach to spatial reasoning by starting with a small set of spatial operators that are derived from concepts closely related to human cognition. This cognitive foundation comes from the behavior of image schemata, which are cognitive structures for organizing people's experiences and comprehension. From the operations and spatial relations of a small-scale space, a container–surface algebra is defined with nine basic spatial operators—inside, outside, on, off, their respective converse relations—contains, excludes, supports, separated_from, and the identity relation equal. The container–surface algebra was applied to spaces with objects of different sizes and its inferences were assessed through human-subject experiments. Discrepancies between the container–surface algebra and the human-subject testing appear for combinations of spatial relations that result in more than one possible inference depending on the relative size of objects. For configurations with small- and large-scale objects larger discrepancies were found because people use relations such as part of and at in lieu of in. Basic concepts such as containers and surfaces seem to be a promising approach to define and derive inferences among spatial relations that are close to human reasoning.