记忆合金在弹箭引信安全系统中的应用研究

研究利用Ti—Ni记忆合金的记忆效应，设计制作了引信安保机构原理样机，并对样机进行了解除保险可靠性试验、勤务处理安全性试验和气体炮试验。经一系列试验研究证明，记忆合金在弹箭引信安全系统中做保险件，具有保险、延期解除保险和驱动负载的综合能力。为引信多样化的安全设计提供了一种新的途径。     

基于改进BOF算法的压板状态识别方法研究

随着电网规模的扩张以及二次技术的发展,二次屏柜的压板数量急剧上升.二次压板一旦出现保护误动或拒动,将严重威胁到电网、设备与人身安全.设计了一种基于改进图像检索算法的继电保护压板状态识别系统对压板退投状态进行识别.首先,对压板图像利用背景差分法及光流法进行前景提取;然后,采用图片增强处理、边缘检测等一系列技术识别开关的投...     

复杂地层梳状定向长钻孔在区域瓦斯治理中的应用

针对贵州毕节地区某煤矿瓦斯治理预抽时钻孔抽采距离短、成孔性差、孔内事故频发等难题,提出在某煤矿采用底板穿层梳状定向长钻孔的技术方法。通过优化钻孔布孔形式、布孔层位和分支孔施工工艺,保证钻孔主孔成孔深度和分支孔见遇煤层率。试验期间,施工钻孔主孔深度均大于600 m,分支孔见遇煤层率达到60%。钻孔成孔明显得到改善,单孔最大瓦斯抽采浓度达到85%,最大瓦斯抽采纯量达到2.5 m3/min,同时节省了施工成本,为毕节矿区瓦斯治理提供了新的方案。     

A cognitive robot architecture based on tactile and visual information

In this paper, we propose an architecture for a cognitive robot based on tactile and visual information. Visual information contains various features such as location and area of various colored regions. Most of these features are irrelevant for object recognition to achieve the given task. In the architecture, tactile information plays a key role in the selection of visual features and discritization of selected features. In order to find appropriate visual features we use a correlation coefficient between the values of the features and action series. Then the ChiMerge algorithm is employed to discritize the value of the selected feature into a small number of intervals. Consequently, quantization of a state space to accomplish the given task is achieved. An appropriate behavior to the given task is acquired by using this state space with reinforcement learning algorithm. We give experimental results of computer simulation to show the validity of our method.     

改进新息图法在地区电网AVC系统中的应用

新息图法对于坏数据、拓扑变化的辨识有着显著效果.文中针对地区电网的辐射特性,提出了新息图法的分层辨识,建立了厂站层和联络线层新息图模型.当连支出现坏数据时,采用伪量测对其进行修正,避免了传统方法更换连支后需重新生成树的不足;支路预估值的准确程度将影响新息值的准确性,对此利用自动电压控制(AVC)系统潮流验证模块k时刻的在线潮流计算值与测量值的差值△P,按系数a对k+1时刻支路预估值进行趋近补偿,补偿后的潮流推算曲线更接近真值,提高了拓扑变化辨识的准确性.将以上改进的新息图法应用于四川省多个地区电网AVC系统,运行效果良好,能准确辨识坏数据和拓扑变化.     

Using genetic programming for context-sensitive feature scoring in classification problems

Feature scoring is an avenue to feature selection that provides a measure of usefulness for the individual features of a classification task. Features are ranked based on their scores and selection is performed by choosing a small group of high-ranked features. Most existing feature scoring/ranking methods focus on the relevance of a single feature to the class labels regardless of the role of other features (context-insensitive). The paper proposes a genetic programming (GP)-based method to see how a set of features can contribute towards discriminating different classes. The features receive score in the context of other features participating in a GP program. The scoring mechanism is based on the frequency of appearance of each feature in a collection of GP programs and the fitness of those programs. Our results show that the proposed feature ranking method can detect important features of a problem. A variety of different classifiers restricted to just a few of these high-ranked features work well. The proposed scoring-ranking mechanism can also shrink the search space of size O(2 ⁿ ) of subsets of features to a search space of size O(n) in which there are points that are very likely to improve the classification performance.     

An Improved Method for Load Taxonomy Using Sample Shifting Technique and Signature Analysis

This paper illustrates an improved method of classification of electrical appliances, particularly for domestic loads, to construct load taxonomy on the basis of their signature analysis. Each electrical load is characterized by its own distinct signature and hence load signature analysis is useful in monitoring the health of the equipment, power quality, in determining individual energy usage etc. type of services. On the other hand, load taxonomy classifies these loads in several clusters on the basis of some features extracted from their signatures. In traditional methods of construction of load taxonomy, different signature patterns based on power metrics, V-I trajectories, Eigen vectors, etc. In this proposed method, with the adoption of sample shifting technique the required number of feature extraction is reduced to a lower value to find out various signature patterns than those are required in traditional load taxonomies. Moreover, a better taxonomy, having well separated groups of loads is achieved with lower number of extracted features.     

湖北电网微机稳控装置运行状况和发展前景

论述了湖北电网微机稳控装置的发展和现状,分析了实现区域电网稳定控制系统的迫切性和必要性,并基于目前的湖北电网通信、自动化水平提出了未来亟待解决的技术问题和发展方向。     

基于SRMC的区域电力市场输电定价方案

从我国区域电力市场的运行实际出发,提出一种基于SRMC的输电定价方案,该方案不仅可以向发电厂和用户提供有效的经济信号,引导短期市场效率,而且可以保证电网公司的年收支平衡,并为电网扩建积累专项资金,具有一定的合理性和实用性.     

基于几何特征的飞机部位识别跟踪算法

针对复杂天气情况下形状可辨的飞机,提出了一种对飞机部位的识别跟踪算法。该算法利用飞机的几何特征,通过数学形态学的原理,在存有噪声干扰的运动图像中简单快速有效地识别出所需目标的重要部位,自动获取其跟踪模板,通过相关匹配技术实现对飞机重要部位的稳定跟踪。给出了应用该算法的具体步骤,并通过实验证明了该算法的有效性。