构件化信息系统开发方法研究

首先由传统的信息系统开发方式的缺陷引出了软件构件化概念,然后对构件的属性、构件开发标准规范、信息系统构件化开发方法进行了介绍,最后给出了一种信息系统构件化开发框架探讨信息系统的构件化开发方法。     

基于自适应增益的PMSM龙伯格-滑模无位置控制

针对传统龙伯格观测器采用的定常增益矩阵在系统工况发生变化时无法达到最优控制,以及未考虑到系统的内部扰动和外部摄动等问题,提出了四阶自适应增益龙伯格-滑模无位置观测器。该方法利用Hurwitz判据制定自适应变增益矩阵,可根据转速变化在线修改增益,并且对系统的扰动进行前馈补偿,在抗扰动方面有进一步的提高,结合滑模控制的方法使系统具有更强的鲁棒性,通过 Lyapunov 证明该方法的稳定性。最后,通过PSIM仿真以及实验验证,证明了新型龙伯格观测器的有效性。     

新型军械装备损坏程度评估方法研究

根据新型军械装备损坏程度具有不确定性的特点,提出了基于D-S证据理论的新型军械装备损坏程度评估方法,并求出了新型军械装备损坏程度区分.通过对典型新型军械装备损坏程度的评估,验证了该方法的有效性和实用性.     

A three phase serpentine micro electrode array for AC electroosmotic flow pumping

A new three-phase electrode array with a serpentine electrode is designed and prototyped using PolyMUMPs process for micro flow pumping. Numerical model of the micropump has been developed using COMSOL Multiphysics™. Experimental testing is conducted and time-averaged flow velocities from testing and simulation agree well. Peak time-averaged flow velocity of 270 μm/s is achieved at 30 Hz using ethanol.     

海水温盐深剖面测量设备的串口实时数据采集实现

实时数据处理软件的开发是863计划支持的"XCTD投弃式温盐深剖面测量技术研究"这一课题的关键研究部分之一;简要介绍了XCTD系统的工作原理;详细介绍了在VisualC++6.0软件开发环境下设计XCTD实时数据采集与处理系统的方案和步骤,其中PC机与数据接收装置之间的串行通信采用MSComm串行通信控件来实现,并给出了相应的程序代码与详细注释;利用串口软件模拟前端数据采集器的数据发送方式,将实地测量得到的1000组温度和电导率值依次通过串口传输到本软件中,结果证实系统运行稳定,并成功实现了数据采集的准确性和实时性,能够很好她满足课题需要.     

A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation

Data envelopment analysis (DEA) is a powerful analytical research tool for measuring the relative efficiency of a homogeneous set of decision making units (DMUs) by obtaining empirical estimates of relations between multiple inputs and multiple outputs related to the DMUs. To further embody multilayer hierarchical structures of these inputs and outputs in the DEA framework, which are prevalent in today’s performance evaluation activities, we propose a generalized multiple layer DEA (MLDEA) model. Starting from the input-oriented CCR model, we elaborate the mathematical deduction process of the MLDEA model, formulate the weights in each layer of the hierarchy, and indicate different types of possible weight restrictions. Meanwhile, its linear transformation is realized and further extended to the BCC form. To demonstrate the proposed MLDEA model, a case study in evaluating the road safety performance of a set of 19 European countries is carried out. By using 13 hierarchical safety performance indicators in terms of road user behavior (e.g., inappropriate or excessive speed) as the model’s input and 4 layered road safety final outcomes (e.g., road fatalities) as the output, we compute the most optimal road safety efficiency score for the set of European countries, and further analyze the weights assigned to each layer of the hierarchy. A comparison of the results with the ones from the one layer DEA model clearly indicates the usefulness and effectiveness of this improvement in dealing with a great number of performance evaluation activities with hierarchical structures.     

Absent extreme learning machine algorithm with application to packed executable identification

Extreme learning machine (ELM) has been an important research topic over the last decade due to its high efficiency, easy-implementation, unification of classification and regression, and unification of binary and multi-class learning tasks. Though integrating these advantages, existing ELM algorithms cannot directly handle the case where some features of the samples are missing or unobserved, which is usually very common in practical applications. The work in this paper fills this gap by proposing an absent ELM (A-ELM) algorithm to address the above issue. By observing the fact that some structural characteristics of a part of packed malware instances hold unreasonable values, we cast the packed executable identification tasks into an absence learning problem, which can be efficiently addressed via the proposed A-ELM algorithm. Extensive experiments have been conducted on six UCI data sets and a packed data set to evaluate the performance of the proposed algorithm. As indicated, the proposed A-ELM algorithm is superior to other imputation algorithms and existing state-of-the-art ones.     

新时期我国高校矛盾纠纷及其风险防范探析

新时期社会转型的各种负面衍生品肆行,导致了高校矛盾纠纷的激变,加剧了人们的价值曲解,甚至诱发了违法犯罪的滋生。为进一步化解高校矛盾纠纷,构建相关风险防范体系,分别从空间、时间、结构三个层次剖析新时期我国高校矛盾纠纷的特征,在此基础上科学构建了与之相适应的多级分洪式矛盾疏导型泄力通道机制、长期防御排查与即时抵御排除双项矛盾纠纷风险防范机制及复杂案例精析与风险防范实验机制,为综合性风险防范体系的最终形成及高校矛盾纠纷风险的有效防范进行了有益探索。     

双作用三直线电机往复泵试验装置研究

针对传统往复泵结构复杂、效率低、输出流量和压力波动大、维修不方便等缺点,提出并研制了一种双作用三直线电机往复泵试验装置。该装置以计算机为核心,具体由通用变频器、三相圆筒型感应直线电机、PCI数据采集卡和传感器等设备组成。通过系统软件编程,实现了单直线电机驱动往复泵试验和三直线电机协调控制往复泵试验。试验结果验证了理论研究的正确性。     

高速串行通信接口电路的CPLD实现

利用CPLD芯片的大容量、可编程特性,设计了具有缓存功能的高速异步串行通信接口芯片,以满足日益提高的快速串行通信要求。着重介绍了该接口芯片的工作原理、硬件构成及部分模块的VHDL设计过程,并通过计算机仿真和实验证明了设计的正确性。