高校合并后图书馆的发展走向

高校合并后，给图书馆带来了一定的发展契机，高校图书馆如何在挑战与机遇并存的新形势下，摆正自己的位置，加强科学管理，充分利用有利因素加快图书馆的数字化进程，使图书馆的服务更具有人性化和科学化，是今后图书馆发展所面临的一个新的课题。     

AKIMA方法在EXAFS谱解析中的应用

解析扩展Ｘ射线吸收精细结构谱（ＴｈｅＥｘｔｅｎｄｅｄＸ－ｒａｙＡｂｓｏｒｐｔｉｏｎＦｉｎｅＳｔｒｕｃｔｕｒｅＥＸＡＦＳ）的一种方法是曲线拟合，在曲线拟合中，能量阈值Ｅ０的确定有着很重要的意义，同时也有相当的难度，本文应用ＡＫＩＭＡ平滑数据点方法达到了对Ｅ０在数学意义上的精确求解，数据分析结果表明，这种方处理结果是令人满意的。     

A comparative study on coronary angiography and exercise ECG testing

42 patients with chronic urinary retention caused by BPH were treated by means of Mesh-like tubular stent placing from August 1993 to August 1994. The mesh-like tubular stent was made of nickel titanium alloy in sizes of 2.0 x 1.5 cm, 2.5 x 1.5 cm, 3.0 x 1.5 cm respectively. Under direct vision the stent was placed with the deployment tool. The desirable position of the stent is 0.3-0.5 cm proximal to the internal urethral orifice, 0.5 cm distal to the verumontanum. In 38 patients followed up for 1-6 months, 34 were succesful with an effective rate of 80%. IPSS, PUFR, RUV after 1, 3, 6 months of placement were 8.5 +/- 4.4, 6.8 +/- 3.5, 7.1 +/- 5.2; 12.5 +/- 6.0 ml/s, 14.0 +/- 5.2 ml/s, 14.4 +/- 8.1 ml/s; 43 +/- 11.5 ml, 47.4 +/- 13.3 ml, 44.5 +/- 15.7 ml respectively. Four stents were taken away transurethrally in the unsuccessful cases. The results indicat that there are no serious complications except for shorttime hematuria, fever, and bladder irritation. The success depends chiefly upon exactly meassuring the length of prostatic urethra, selecting the rational size of the stent, and correctly placing the stent.     

锻钢退火炉消烟除尘技术改造

介绍了锡钢集团公司锻压分厂车底式热处理退火炉消烟除尘综合治理改造情况。包括烧嘴重新选型、配置，增设空气预热器及重油加热系统，并将下排烟改为地上排烟。改造的主要目的是消烟除尘，提高产品退火质量，提高炉子装备水平及节省燃油消耗。改造后运行结果基本达到了预定目标。     

Information analysis of single photon emission computed tomography with count losses

An analysis is presented of the information transfer from emitter-space to detector-space in single photon emission computed tomography (SPECT) systems. The analysis takes into account the fact that count loss side information is generally not available at the detector. Side information corresponds to the number gamma-rays lost deleted due to lack of interaction with the detector data. It is shown that the information transfer depends on the structure of the likelihood function of the emitter locations associated with the detector data. This likelihood function is the average of a set of ideal-detection likelihood functions, each matched to a particular set of possible deleted gamma-ray paths. A lower bound is derived for the information gain due to incorporating the count loss side information at the detector. This is shown to be significant when the mean emission rate is small or when the gamma-ray deletion probability is strongly dependent on emitter location. Numerical evaluations of the mutual information, with and without side information, associated with information-optimal apertures and uniform parallel-hole collimators are presented.     

Data stream classification with novel class detection: a review,comparison and challenges

Knowledge and Information Systems - Developing effective and efficient data stream classifiers is challenging for the machine learning community because of the dynamic nature of data streams. As a...     

基于北斗卫星的森林火灾监控终端设计

针对传统森林火灾监控方式存在的受地形限制,导致火灾发现不及时和定位难的缺陷,设计了基于北斗卫星的森林火灾监控系统,实现了火灾智能识别和预警,并且可以对火源、火场进行快速定位和信息通报;终端包括烟采集处理模块、图像采集模块、DSP处理模块、ARM主控模块和北斗卫星通信模块五部分,从烟和火焰两个方面对森林实时进行监控,分别采用离子烟雾传感器和DSP火焰识别混合算法,提取火焰图像差值和火焰图像边界参数的方法,提高了识别的准确率;试验证明,系统具有结构简单、使用方便和识别智能化的特点。     

在CodeWarrior编译环境下运行μC／OS—Ⅲ

μC／OS-Ⅱ是面向8／16位及低端32位单片机应用的RTOS,而新近推出的μC／OS-Ⅲ则面向高性能32位单片机,如ARMCortex等。以Cortex—M4为内核的Kinetis系列单片机,不仅用于全国大学生飞思卡尔杯智能车竞赛,也用于诸多大学的嵌入式系统教学,官方提供的开发环境是CodeWarrior。本文介绍如何利用CodeWarrior开发环境,将μC／OS-Ⅲ在Kinetis单片机上运行起来,以便将μC／OS-Ⅲ引入教学、科研与应用。     

漫射红外技术的智能家居无线局域网设计

分析了红外技术在短距离无线通信中的优势,并将其应用在智能家居局域网中;结合安华高科技公司的HSDL-3020红外收发模块搭建了硬件电路,构成网络的主从节点;介绍了网络组建的过程,包括IrDA协议栈结构、数据编码格式、链路连接、网络管理机制等。本设计实现了对家居设备的统一管理,具有较高的应用价值。     

Data preprocessing using hybrid general regression neural networks and particle swarm optimization for remote terminal units

Data corruption in SCADA systems refers to errors that occur during acquisition, processing, or transmission, introducing unintended changes to the original data. In SCADA-based power systems, the data gathered by remote terminal units (RTUs) is subject to data corruption due to noise interference or lack of calibration. In this study, an effective approach based on the fusion of the general regression neural network (GRNN) and the particle swarm optimization (PSO) technique is employed to deal with errors in RTU data. The proposed hybrid model, denoted as GRNN-PSO, is able to handle noisy data in a fast speed, which makes it feasible for practical applications. Experimental results show the GRNN-PSO model has better performance in removing the unintended changes to the original data compared with existing methods.