OSCILLATION AMPLITUDE OF THE FREE END OF A FLEXIBLY MOUNTED RIGID CYLINDER IN TRIANGLE ARRANGEMENT

In this paper,the oscillation amplitude of the free end of a group of threecylinders are studied.The three cylinders are erected at the vertices of an equilateral trian-gle,and three arrangements are made in this study.One of the three cylinders is served asa working cylinder which is mounted by a flexible cantilever and two accelerometers areattached on the free end in two directions.The results of the three-cylinder arrangementare compared with those of two cylinders in tandem/side-by-side arrangement in the samecondition.The experimental results show that the rear cylinder of a group of three cylin-ders is affected more seriously than that of the corresponding two cylinders in the contrastarrangement.The main direction of oscillation is changed.The transversal oscillation isstronger than the longitudinal oscillation in the three-cylinder arrangement.On the con-trary,the transversal oscillation is much weaker than the longitudinal oscillation in two-cylinder arrangement.The largest transversal oscillat     

A hierarchical model for structure learning based on the physiological characteristics of neurons

Almost all applications of Artificial Neural Networks (ANNs) depend mainly on their memory ability. The characteristics of typical ANN models are fixed connections, with evolved weights, globalized representations, and globalized optimizations, all based on a mathematical approach. This makes those models to be deficient in robustness, efficiency of learning, capacity, anti-jamming between training sets, and correlativity of samples, etc. In this paper, we attempt to address these problems by adopting the characteristics of biological neurons in morphology and signal processing. A hierarchical neural network was designed and realized to implement structure learning and representations based on connected structures. The basic characteristics of this model are localized and random connections, field limitations of neuron fan-in and fan-out, dynamic behavior of neurons, and samples represented through different sub-circuits of neurons specialized into different response patterns. At the end of this paper, some important aspects of error correction, capacity, learning efficiency, and soundness of structural representation are analyzed theoretically. This paper has demonstrated the feasibility and advantages of structure learning and representation. This model can serve as a fundamental element of cognitive systems such as perception and associative memory.     

A linear RFQ ion trap for the Enriched Xenon Observatory

The design, construction, and performance of a linear radio-frequency ion trap (RFQ) intended for use in the Enriched Xenon Observatory (EXO) are described. EXO aims to detect the neutrinoless double-beta decay of ¹³⁶Xe to ¹³⁶Ba. To suppress possible backgrounds EXO will complement the measurement of decay energy and, to some extent, topology of candidate events in a Xe filled detector with the identification of the daughter nucleus (¹³⁶Ba). The ion trap described here is capable of accepting, cooling, and confining individual Ba ions extracted from the site of the candidate double-beta decay event. A single trapped ion can then be identified, with a large signal-to-noise ratio, via laser spectroscopy.     

具有面向对象特征的知识库系统

本文讨论了具有面向对象特征的知识库系统KBASE~ 的数据模型、语言及实现。KBASE~ 的数据模型可以方便地支持对象标识、类层次、多继承等面向对象概念。描述性查询语言KBL是DATALOG针对于非一范式关系模型的扩充。本文重构了KBL的语义理论框架,提出了通过计算相关类的下确界来解决属性继承中的冲突问题,通过在KBL程序中添加规则来实现实例继承的方案,本文说明了KBL程序可以转换成语义等价的DATALOG程序,描述了这种转换的基本思想,探索了知识库和面向对象数据库有机结合的可行途径。     

表面稳定模式铁电液晶的电光特性测试

采用一种改进的高分子膜摩擦定向法成功地实现了表面稳定模式铁电液晶的光学双稳态，对比度大于１４０，响应时间达１００微秒。     

海浪谱的光学探测及信息处理

建立了一套光学——计算机混合处理系统用以分析海浪航空底片,并得到了海浪方向谱和能谱。实验结果与现有的海浪理论符合较好,同时显示了该方法有可能发展成一种实用的实时海浪探测方法。     

β放射性气体浓度计的新分度方法

本文介绍β放射性气体浓度计的一种新的分度方法——泄漏元件排气法。其特点是一只元件可分度放射性气体浓度计的许多读出数(甚至是几个量程),操作方便。