Developing Reflective Practice in Information Systems Development: Further Progress on the Gestation of an Evaluative Framework

It is argued in this paper that evaluative activities in relation to systems development have traditionally focussed on the financial worth of the product. This approach has excluded the appraisal of important issues such as the process for building the product, the performance of the systems development team, the methods used and the organisational impact of the implemented System. In response to the traditional approach, which is skewed towards quantification techniques, a three stage framework is proposed. The three stages are iterative. The first being concerned with establishing an appropriate focus and resolution level for the evaluation, the second uses a control model to identify relevant outputs, appropriate sensors and comparators and performance criteria. The third is about selecting more sophisticated paradigms for assessing processes and their outputs. It is contended that although the specific focus of this paper is systems development, the framework could be used in any organisational context where products and services are developed and produced.     

陈寿祺生平及著述考

陈寿祺是清嘉道年间的代表学者,学通汉、宋,世称“通儒”,因其早年学历、交游以及严谨的治学态度,使其在学术上取得了卓越的成就,而辑佚方面尤为突出。考证陈寿祺生平经历的五个发展阶段、学风衍变的基本过程,并且简略地考释了《尚书大传》、《五经异义》、《三家诗遗说考》等其在辑佚方面的代表性著作。     

一种新型复合神经网络模型

本文首先详细地阐述了ＢＰ神经网络和ＣＭＡＣ神经网络各自的结构，原理以及算法。提出了一种ＢＰ神经网络与ＣＭＡＣ神经网络组合起来的新型复合神经网络模型，并利用误差逆向传播原理推导出复合网络的学习法。仿真实验结果表明，这种复合神经网络在保留了ＢＰ和ＣＭＡＣ各自特长的基础上，同时具有学习速度快，泛化能力强等特点     

求最佳生物序列并置排列的算法和程序

本文提出了计算最佳生物序列并置排列的程序和算法。程序使用计算进化距离的改进算法,在IBM-PC/AT上用Turbo-Pascal 4.0版开发。程序有友好的用户界面、操作简便、通用性强,可以移植到多种计算和操作环境。本文以蛋白质分子序列为例,给出了复杂赋权情形下计算进化距离和最佳并置排列的算法,证明了不同赋权方式本质上不改变改进算法的时间和空间复杂性。     

硬件进化的快速算法模型研究

针对硬件进化(evolvable hardware，EHW)存在的进化规模的扩展能力问题，研究了以内嵌式EHW的自适应要求为条件的染色体表示及计算复杂性问题．为提高遗传机器学习计算效率，根据FPGA(field programmable gate array)内部的结构特点，将可重构硬件的结构映射为遗传学习的染色体表示，提出一种符合EHW要求的二雏染色体的遗传机器学习方法——ISPitts，构造了一种动态遗传机器学习框架．实验结果显示，新方法不仅完成了四位比较器的内嵌式EHW实现，而且具有较高的进化效率．     

Hardware Euclidean Distance Transform Implementation

Based on an efficient algorithm of Euclidean distance transform for binary images, a circuit of O (N^2) size is proposed. With in-place calculation, both the intermediate data storing and the result output use the same menmory with the input data. This reduces the amount of menmory largely. By replacing multipliers with coumters, comparators, and adders, the circuit size is further reduced and its calculation speed is improved also.     

A Target Recognition Approach to Projecting HRR Profiles onto Subspace

Abstract: A array of the azimuthally averaged range-profile vectors and the inter-class and intra-class divergence matrixesare constructed iwth many frames of the high resolution range profiles which result from radar echoes of airplanes. Takingthe methods of whitening transformation and SVD produces a system of subspace vectors for target recognition. Where-upon, a template library for target recognition is built by the projection of a class-mean vector made from the radar dataonto the subspace for recognition. By Euclidean distance, a comparison is made between the above projection and eachtemplate in the library, to decide which class the target belongs to. Finally, simulations with the experimental radar dataarte given to show that the proposed method is robust to variation in azimuth and immune to additive Gaussian noisewhen SNR≥5dB.     

浅谈大学公共英语课堂情境教学

在大学英语教学中，教师应该努力创设一个良好的教学环境，不断地开展各种各样的课堂活动来创造自由交际的气氛，从而激发学生兴趣，启发学生动口，提高教学效果。具体的教学技巧与方法有：创设情境、巧设问题，紧扣专业特色、表演示范、变化讲授、整体教学等。     

反向误差传播的学习策略

本文探讨多层神经网络、反向误差传播学习过程收敛缓慢的原因,提出了修改后的激励函数(x),变步长策略,输出反馈抑制策略及模式矢量预处理,从而大大加速了学习收敛过程。还给出了计算机模拟的结果。     

ON THE TOTAL DISTANCE BETWEEN NODES IN TREES

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