Dispersion Constraint Based Non-negative Sparse Coding Model

Based on advantages of basic non-negative sparse coding (NNSC) model, and considered the prior class constraint of image features, a novel NNSC model is discussed here. In this NNSC model, the sparseness criteria is selected as a two-parameter density estimation model and the dispersion ratio of within-class and between-class is used as the class constraint. Utilizing this NNSC model, image features can be extracted successfully. Further, the feature recognition task by using different classifiers can be implemented well. Simulation results prove that our NNSC model proposed is indeed effective in extracting image features and recognition task in application.     

Studying the needed effort for identifying duplicate issues

Many recent software engineering papers have examined duplicate issue reports. Thus far, duplicate reports have been considered a hindrance to developers and a drain on their resources. As a result, prior research in this area focuses on proposing automated approaches to accurately identify duplicate reports. However, there exists no studies that attempt to quantify the actual effort that is spent on identifying duplicate issue reports. In this paper, we empirically examine the effort that is needed for manually identifying duplicate reports in four open source projects, i.e., Firefox, SeaMonkey, Bugzilla and Eclipse-Platform. Our results show that: (i) More than 50 % of the duplicate reports are identified within half a day. Most of the duplicate reports are identified without any discussion and with the involvement of very few people; (ii) A classification model built using a set of factors that are extracted from duplicate issue reports classifies duplicates according to the effort that is needed to identify them with a precision of 0.60 to 0.77, a recall of 0.23 to 0.96, and an ROC area of 0.68 to 0.80; and (iii) Factors that capture the developer awareness of the duplicate issue’s peers (i.e., other duplicates of that issue) and textual similarity of a new report to prior reports are the most influential factors in our models. Our findings highlight the need for effort-aware evaluation of approaches that identify duplicate issue reports, since the identification of a considerable amount of duplicate reports (over 50 %) appear to be a relatively trivial task for developers. To better assist developers, research on identifying duplicate issue reports should put greater emphasis on assisting developers in identifying effort-consuming duplicate issues.     

基于灰关联混合蛙跳算法的雷达波形设计

提出了一种基于灰关联混合蛙跳算法的雷达波形设计方法,以混合蛙跳算法为主体,在局部更 新算子中引入遗传算法的遗传算子,并改进原始蛙跳算法的分组方法,丰富了种群的多样性,同时引入灰关联综合评价法则对适应度函数值加以关联度分析。文中以设计具有低自相关旁瓣和互相关特性的正交多相编码为例,将该算法用于雷达波形设计中。仿真结果表明使用本文算法产生 的波形具备较好的低自相关特性和互相关特性,表明了该算法是有效和可行的。     

基于余弦距离的局部敏感哈希的KNN算法在中文文本上的快速分类

文本分类是文本挖掘中最重要的研究内容之一。为了克服目前以距离衡量的近似分类算法在海量数据下耗费大量时间的缺陷,提出了结合基于余弦距离的局部敏感哈希的方式将KNN算法在TF-IDF下对中文文本进行快速分类。同时结合文本数据的特性给出了不同的哈希函数级联方式分别进行实验。在实验过程采用了布尔向量的方式规避重复访问,使分类的结果在可以允许的范围内,分类速度比原始KNN提高了许多。     

水利水电工程和周围地区发生地震概率高低的研讨

目前,水利水电工程正在加速发展,水利水电工程在国家发展中占有重要地位,地震发生的强度和时间的长短直接影响着水利水电工程的建设。为此,对水利水电工程和周围地区发生地震的概率等问题进行了研究。     

关于雾霾污染的现状及治理方案的探讨＊

雾霾是雾与霾的混合物,雾霾湿度相对较大时,雾所占的成分居多;而在相对湿度为80%～90%时,霾所占的比例较大。在雾霾天气下,人们在室外的能见度特别低,给行车出行带来很大的不便,同时,还会给人们的健康带来严重的威胁。主要对雾霾污染的现状进行了分析,并重点提出治理雾霾污染的有效方案。     

基于ARMA NExT和稳定图方法的飞行器工作模态指示研究

研究了基于飞行遥测数据,使用环境激励模态辨识方法辨识系统的模态参数时,挑选真实模态的方法.首先,详细介绍了ARMA-NEx T环境激励模态辨识方法的理论.接着,给出了模态指示因素,并详细分析了基于稳定图方法、频域和时频分析方法的真实模态筛选的方法.最后通过算例研究了飞行模态筛选的过程.研究发现,通过该方法得出结果与频域和时频分析结果基本一致.     

基于DSP2808的轴流风机控制器设计

针对工业用轴流风机,设计了基于DSP2808的智能轴流风机控制器,给出了DSP系统、CPLD系统、驱动电路、功率电路、故障检测与保护电路、单端反激变换器的设计方案;分析了风机调节流量的方法,控制器能够根据温度反馈通过PWM斩波实现风机宽范围无级调速,实现节能;控制器能够接收外部电位计、温度传感器、485总线的转速给定,表决后产生最终的转速给定;控制器具备电机绕组过热、IGBT过热、交流侧过欠压、直流侧过欠压、直流侧过流等故障检测与保护功能;实验结果表明:控制器能够实现风机匀加速软起动及起动与转速闭环之间的平稳过渡,有效降低了风机启动、运行过程的噪声,同时实现了节能.     

北斗定位系统在飞行试验中的应用研究

为了解决使用美国商用GPS对我国飞行试验中定位精度和速度的种种限制以及对我国国防安全的潜在危险,文章基于我国日趋成熟自主研发的北斗定位系统技术,开展其在飞行试验中的研究;文中分别对北斗的短报文通信技术、单点及事后差分技术、实时差分技术在飞行试验中的应用方法进行研究,并介绍了飞行试验中北斗定位数据的处理方法;通过试验数据与美国商用GPS数据进行对比,结果显示北斗定位系统精度与美国商用GPS精度接近;最后展望了北斗定位系统未来在我国飞行试验以及国防、科研以及交通运输等民用领域的广阔应用前景.