Using classification techniques for informal requirements in the requirements analysis-supporting system

In order to efficiently develop large-scale and complicated software, it is important for system engineers to correctly understand users’ requirements. Most requirements in large-scale projects are collected from various stakeholders located in various regions, and they are generally written in natural language. Therefore, the initial collected requirements must be classified into various topics prior to analysis phases in order to be usable as input in several requirements analysis methods. If this classification process is manually done by analysts, it becomes a time-consuming task. To solve this problem, we propose a new bootstrapping method which can automatically classify requirements sentences into each topic category using only topic words as the representative of the analysts’ views. The proposed method is verified through experiments using two requirements data sets: one written in English and the other in Korean. The significant performances were achieved in the experiments: the 84.28 and 87.91 F1 scores for the English and Korean data sets, respectively. As a result, the proposed method can provide an effective function for an Internet-based requirements analysis-supporting system so as to efficiently gather and analyze requirements from various and distributed stakeholders by using the Internet.     

CPM自滤波非稳腔YAG激光器研究

把由非谐振环和凸面全反射镜构成的自滤波非稳腔应用于撞脉冲锁模Ｎｄ：ＹＡＧ激光器，改善了光束的空间质量和输出稳定性，获得发散角为２倍衍射极限，能量５０ｍＪ，脉宽１０ｐｓ的锁模脉冲，并与未加滤波小孔的ＣＰＭ非稳腔的输出性能进行实验比较。，     

Genetic synthesis of a fuzzy pulse discriminator in electrical discharge machining

In this paper, a sensor system, called a fuzzy pulse discriminator, is developed to classify various discharge pulses in electrical discharge machining (EDM). The fuzzy rules of the pulse discriminator are obtained based on the features of the gap voltage and gap current between the tool workpiece. The membership functions of the fuzzy pulse discriminator are automatically synthesized by using genetic algorithms. The effectiveness of this approach is verified under different cutting parameters.     

CIMSCLASS─—面向CIM的零件分类软件开发工具

介绍了一个能为工厂设置零件编码系统和开发零件分类系统的工具系统。该系统能适应用户的具体环境，能对零件的特征信息做较详细的描述和建立相应目标的零件分类系统，从而能在ＧＴ（成组技术）基础上为机械加工零件开发ＣＡＤ／ＣＡＰＰ／ＣＡＭ集成系统提供支持，以满足ＣＩＭＳ的需要。     

复印粉的粉碎分级技术

本文介绍了利用国产气流粉碎机和余气萃取分级制备复印粉的实用技术，并展示了粉碎分级系统和复印粉的电镜照片。     

基于神经网络的VQ图象编码

文章给出将神经网络与矢量量化相结合的两种编码方法，介绍了其原理和实现的算法。经计算机模拟表明，在比特率低于０．３ｂｐｐ时仍可得到高质量的编码图象。     

对绿色技术内涵与类别的再思考

在分析不同国际组织、机构对环境友好技术概念的不同界定方法及其特点的基础上,以系统性、层次性和可操作性为原则,以环境亲和程度为标准,从基础绿色技术、创新绿色技术和生态绿色技术三个层次对绿色技术的涵义和类别进行了界定。     

Satellite SAR Remote Sensing of Great Lakes Ice Cover,Part 2. Ice Classification and Mapping

During the 1997 winter season, shipborne polarimetric backscatter measurements of Great Lakes (freshwater) ice types using the Jet Propulsion Laboratory C-band scatterometer, together with surface-based ice physical characterization measurements and environmental parameters, were acquired concurrently with Earth Resource Satellite 2 (ERS-2) and RADARSAT Synthetic Aperture Radar (SAR) data. This polarimetric data set, composed of over 20 variations of different ice types measured at incident angles from 0° to 60° for all polarizations, was processed to radar cross-section to establish a library of signatures (look-up table) for different ice types. The library is used in the computer classification of calibrated satellite SAR data. Computer analysis of ERS-2 and RADARSAT ScanSAR images of Great Lakes ice cover using a supervised classification technique indicates that different ice types in the ice cover can be identified and mapped, and that wind speed and direction can have an influence on the classification of water as ice based on single frequency, single polarization data. Once satellite SAR data are classified into ice types, the ice map provides important and necessary input for environmental protection and management, ice control and ice breaking operations, and ice forecasting and modeling efforts.     

组织协同进化分类算法用于雷达目标一维像识别

针对雷达目标一维像识别问题，提出了一种基于组织协同进化分类算法的识别方法．该方法与现有进化分类方法的不同之处在于它的进化操作直接作用于样本而不是规则，采用了一种自下而上的搜索机制，即先使若干样本的集合得到进化，再从进化结果中提取规则．这样有利于避免在进化过程中产生无意义的规则．该方法不需要进行特征提取；对于高维数据，不需要预先进行降维处理；没有复杂的运算，训练和识别的速度都很快．对3种飞机微波暗室实测数据的识别实验表明，该方法性能稳定，优于基于支撑矢量机与子波核函数的方法，识别率均达到了96％以上．实验中还对算法的抗噪能力进行了测试，获得了良好的效果．     

鄂尔多斯盆地姬塬-堡子湾地区长4+5油层成岩作用与储层评价

利用岩石铸体薄片鉴定、X射线衍射分析、扫描电镜分析等测试手段，对鄂尔多斯盆地姬塬一堡子湾地区延长组长4＋5油层储集岩的岩石学特征、成岩作用和物性特征进行了分析。结果表明，该储集岩为细粒的长石砂岩和岩屑长石砂岩，颗粒呈次棱角状，成分成熟度普遍较低，结构成熟度中等一较好；经历了压实、胶结、压溶和溶解等一系列成岩作用；储集岩具有低孔、低渗的特点。在以上研究基础上，结合压汞分析、孔隙组合分析，对储层进行综合评价认为，长4＋5储层可分为4类，研究区以Ⅱ、Ⅲ类（中等一差）储层为主。