Investigation on Three Types of Residues in Phase-unwrapping

In phase unwrapping, how to control the residues and cut-lines is critical to unwrap ill-state wrapped phase map successfully. Some new concepts in phase unwrapping field are proposed. Firstly, the residues in three types, I.e., singular residues, normal residues and virtual residues, are classified, which leads to some rational unwrapping paths. Secondly, some differences between cut-line and curved-line are analyzed. And finally, experiment is carried out to compare our new enhanced Goldstein algorithm with the original Goldstein algorithm.     

Interweaving genetic programming and genetic algorithm for structural and parametric optimization in adaptive platform product customization

An adaptive product platform offers high customizability for generating feasible product variants for customer requirements. Customization takes place not only to product platform structure but also to its relevant parameters. Structural and parametric optimization processes are interwoven with each other to achieve the total optimality. This paper presents an evolutionary method dealing with interwoven structural and parametric optimization of adaptive platform product customization. The method combines genetic programming and genetic algorithm for handling structural and parametric optimization, respectively. Efficient genetic representation and operation schemes are carefully adapted. While designing these schemes, features specific to structural and parameter customization are considered for the simplification of platform product management. The experimental results show that the performance of the proposed algorithm outperforms that of the tandem evolutionary algorithm in which a genetic algorithm for parametric optimization is totally nested in a genetic programming for structural optimization.     

抽水蓄能电站备用效益研究综述

随着电力体制改革及电力系统的不断完善,抽水蓄能电站在电力系统中的动态作用越来越显著,但如果其动态作用体现的价值得不到合理的收益,将严重影响抽水蓄能电站自身的财务生存能力。通过对抽水蓄能电站动态效益的主要组成部分——备用效益进行的研究,对抽水蓄能电站承担备用容量的特点以及备用效益的研究现状、量化理论及方法进行的综合分析,为抽水蓄能电站动态效益的合理量化提供了参考依据。     

构造性神经网络在测井岩性识别中的应用

测井岩性识别是石油勘探中十分重要的基础工作,准确的岩性识别结果可以为勘探和开发提供可靠的依据。人工神经网络方法可对复杂的高维数据进行非线性映射,在模式识别领域得到越来越广泛的应用。针对传统的BP神经网络算法存在收敛速度慢、隐层数以及隐层节点数难以确定等缺点,研究了一种构造性神经网络学习算法---级联算法（Cascade Correlation Algorithm,简称CC算法）及其在石油工程中的应用。采用该算法对甘肃镇原-泾川地区进行岩性识别研究,通过与BP神经网络的识别结果进行比较,体现出构造性神经网络的优越性。     

《C语言程序设计》课堂教学方法的探讨

《C语言程序设计》一直是计算机专业及相关专业的专业基础课。该课程既难教又难学。传统的教学方法往往过分注重语法形式的介绍，却忽视了算法的讲解，使得学生无法解决一些实际编程，也很容易挫伤学生的学习兴趣。为此应以算法教学为主。因材施教，合理使用教材，在改用多媒体教学的同时，适当配以板书。调动学生的主观能动性，提高其编程能力。     

海洋平台损伤检测的发展现状与展望

针对海洋平台损伤检测技术进行了分析，总结了国内外海洋平台损伤检测技术的最新进展。对各种检测方法进行了分类与比较，分析了不同检测方法的基本原理及其适用范围，提出了海洋工程结构损伤检测的二步法，可以综合利用不同的损伤检测方法，更准确、有效地对平台进行损伤检测。     

莱钢职业安全健康动态监控信息系统的建立及运行分析

以网络技术和信息技术为依托，建立职业安全健康动态监控信息系统，进行职业安全健康管理的监控和预警，提高安全管理的现代化水平。     

一种改进的共同进化遗传算法及其应用

将共同进化遗传算法应用于临床营养决策优化中,虽然取得了一定成果,但算法中仍存在早熟现象、局部搜索能量弱等问题,为此提出一种改进的共同进化模型。算法使用新的子群体划分方法和交叉算子,引入精英保留策略、信息交换原则和小生境技术。通过对糖尿病营养治疗的仿真表明,改进后的算法在保证群体多样性和避免早熟现象的前提下,提高了算法的局部和全局寻优能力,且膳食配方中营养素达标率符合要求,满足专家建议的糖尿病饮食需求。     

基于加载算法的室内无线信道OFDM接收机的性能

本文研究了无线局域网中使信号频谱得到优化的一种简单OFDM子载波加载算法。此算法基于边缘自适应（Margin Adaptive）加载准则及其在室内无线信道上的性能。     

A tolerant approach to reconstruct topology from unorganized trimmed surfaces

Presented in this paper is a topology reconstruction algorithm from a set of unorganized trimmed surfaces. Error-prone small geometric elements are handled to give proper topological information. It gives complete topology to topologically complete models, and it is also tolerant to incomplete models. The proposed algorithm is vertex-based in that clues for topological information are searched from the set of vertices first, not from that of edges.