钢波纹管涵洞在多年冻土地区的应用

探讨了钢波纹管的性质及钢波纹管施工工艺,并且指出由于钢波纹管涵洞其柔性好,强度高,具有很好的适应地基与地基变形的能力,在冻土地区公路建设中得到应用推广并具有广阔的应用前景。     

Spectral entropy analysis of different alpha band rhythms in relation to hand motor imagery

The event-related desynchronization/synchronization(ERD/ERS) time courses of lower and upper alpha band rhythms during hand motor imagery are investigated respectively by Fourier Sectral Entropy (FSE) in this paper. By analyzing one group of BCI competition data, it was found that FSE within upper alpha band displays a pronounced increase and decrease over contralateral and ipsilaterai brain areas respectively at the onset of hand motor imagery, which is corresponding to the antagonistic ERD/ERS patterns in previous studies. Different from the upper alpha activity pattern, FSE within lower alpha band displays a consistent increase over both two hemispheres hand representative areas. The preliminary results show that FSE could disclose the different behaviors of the upper and lower alpha band rhythms so that a new idea with the complexity measure is provided to characterize functional dissociation of lower and upper frequency alpha rhythms in relation to hand motor imagery.     

MEDICAL IMAGE SEGMENTATION BASED ON A MODIFIED LEVEL SET ALGORITHM

Imagesegmentationplaysanimportantrolein imageanalysisaswellasinhigh levelimageinter pretationandunderstandingsuchasrobotvision, objectrecognition,andmedicalimaging.Numerous segmentationmethodshavebeendeveloped.How ever,medicalimagesareoftencorruptedbyno…     

日本大岛船厂目标成本管理的经验

目标成本管理是一门现代化管理科学技术,船厂应用目标成本管理可以有效地控制各种船舶产品的成本,使之按照规定的目标进行. 本文主要介绍日本大岛造船厂开展目标成本管理的经验,对成本的构成、预算的编制与控制等问题分别作了叙述,以供我国船厂参考.     

蜂窝夹层板的优化设计分析

夹层板结构是近代发展起来的一种比较先进的结构形式,具有比强度高、比刚度大等特点。为优化夹层板的抗冲击性能,以某船底部板架单元为基础,在保证夹层板总质量和主尺寸与原板架相同的前提下,建立4组六棱柱蜂窝夹层板模型,其中每组夹层板的夹层质量各不相同。首先利用有限元软件ABAQUS模拟夹层板在冲击波载荷作用下的响应,对比夹层板的结构损伤并筛选出每组中结构损伤最小的夹层板板型,然后从能量吸收的角度分析夹层板的抗爆抗冲击性能,得到一种优化的夹层板模型。     

稳态检测技术在公路路基结构中检测抗变形能力的应用

本文针对目前现场对路基进行抗变形检测技术的缺陷,提出了一种适用于现场的稳态检测技术,指出了评定路基抗变形能力的新指标,并在此基础上研究路基在抵抗变形方面的匹配关系并进行分析计算,对于指导路基设计和现场质量控制都具有现实意义。     

CLASSIFICATIONS OF EEG SIGNALS FOR MENTAL TASKS USING ADAPTIVE RBF NETWORK

Objective This paper presents classifications of mental tasks based on EEG signals using an adaptive Radial Basis Function (RBF) network with optimal centers and widths for the Brain-Computer Interface (BCI) schemes. Methods Initial centers and widths of the network are selected by a cluster estimation method based on the distribution of the training set. Using a conjugate gradient descent method, they are optimized during training phase according to a regularized error function considering the influence of their changes to output values. Results The optimizing process improves the performance of RBF network, and its best cognition rate of three task pairs over four subjects achieves 87.0%. Moreover, this network runs fast due to the fewer hidden layer neurons. Conclusion The adaptive RBF network with optimal centers and widths has high recognition rate and runs fast. It may be a promising classifier for on-line BCI scheme.     

Multiple mental tasks classification based on nonlinear parameter of mean period using support vector machines

Mental tusk classification is one of the most important problems in Brain-computer interface. This paper studies the classification of five-class mental tusks. The nonlinear parameter of mean period obtained from frequency domain information was used as features for classification implemented by using the method of SVM （support vector machines）. The averaged classification accuracy of 85. 6% over 7 subjects was achieved for 2-second EEG segments. And the results for EEG segments of 0.5s and 5.0s compared favorably to those of Garrett＇s. The results indicate that the parameter of mean period represents mental tusks well for classification, Furthermore, the method of mean period is less computationally demanding, which indicates its potential use for online BCI systems.     

A NEW MODEL AND IMPROVED CABLE FUNCTION FOR REPRESENTING THE ACTIVATING PERIPHERAL NERVES BY A TRANSVERSE ELECTRIC FIELD DURING MAGNETIC STIMULATION

Theclassiccableequationhasbeenusedtore presenttheexcitationoflongandstraightperipheral nervesinanelectricfield.Itpredictsthatexcitation occursnearthemaximumofthenegativefirstspa tialgradient-E'‖=- Ex/ xinthedirectionofan x axialfiber[1],whichisinagreem…