改进的FP学习和综合方法

对FP算法进行了改进.首先对“共同特征位”进行了优化处理,其次对x⁰样本的选取进行优化,最后,对阈值设计进行优化处理.经过优化后的样本吸引域明显地较为均匀,模拟实验数据也证明了这一点.     

FP神经元网络的应用：加密编码／译码器

本文将「１」提出的ＦＰ神经元网络，应用于加密编码／译问题，ＦＰ网络实现任何加密编码系统Ｆ及译密系统Ｆ＾－１且具有最佳的容错／纠错能力。     

Effect of pre- and postharvest salicylic acid treatment on ethylene production,fungal decay and overall quality of Selva strawberry fruit

The effect of salicylic acid (SA) treatment at different concentrations and growth stages of strawberry (Fragaria ananassa cv. Selva) fruit on postharvest ethylene production, fungal decay and overall quality index was studied. SA at all concentrations effectively reduced fruit ethylene production and fungal decay and retained overall quality. Treatment of plants at vegetative stage and fruit development stage followed by postharvest treatment of fruits with 1 and 2 mmol L⁻¹ was the most effective strategy, whilst with decrease in treatment time the effects of treatment decreased. Single stage treatment strategy of fruits with 2 mmol L⁻¹ SA at postharvest stage was most effective. Postharvest treatment with 4 mmol L⁻¹ SA slightly damaged the fruits and was less effective than 2 mmol L⁻¹ in retaining fruit quality.     

The effect of fatty acid profiles of biodiesel on key fuel properties of some biodiesels and blends

In the present investigation, some key fuel properties such as acid value (AV), iodine value (I), peroxide value (PV), water content (WC), and flash point (FP) of cottonseed oil methyl esters (CSOME) and palm stearin methyl esters (PSME) biodiesels, and their blends with petroleum diesel are estimated as per American Society for Testing Materials (ASTM) and American Oil Chemists Society (AOCS) methods. The variations of all the properties with blends have been analyzed as a function of fatty acid profile of biodiesels. The fatty acid profile of the biodiesels is determined using gas chromatography–mass spectrometer (GC-MS) method. CSOME biodiesel is rich in unsaturated fatty acid methyl esters (FAME) and PSME in saturated FAME. Both the biodiesel blends have shown different types of variations for different properties.     

外注入锁定对FP激光器强度噪声的抑制

采用较强的外注入光锁定FP激光器,获得了理想的强度噪声抑制效果. 在自由运转的FP激光器的弛豫振荡峰处,最大噪声抑制强度可达9dB. 研究了注入光功率和频率失谐对于强度噪声抑制效果的影响. 此外,通过实验研究了理想噪声抑制范围与激光器稳定锁定范围之间的关系：它们都随着注入光功率的增加而增大;但在相同的注入光功率下,稳定锁定范围允许更大的频率失谐.     

功能点的计算方法

目前，软件复杂度越来越高，有的甚至会成为管理系统的系统，虽然这些软件有着不同的目标，但最终它们都必须相互协调的在一起共同发展。然而，随着软件的复杂度的上升，软件的可控性却在下降。由此，软件度量在软件开发过程中的地位日益增强。因为只有做好软件度量工作，才能在很短的时间内，做出正确的决策，保证产品的质量，才能在日益激烈的竞争中取得胜利。而软件度量的方法有很多．例如FPA、LOC等等．本文主要关注的功能点分析方法，主要是探讨一下FPA中的功能点的计算方法。     

内标液相色谱-串联质谱法测定蜂蜜中氯霉素、甲砜霉素和氟苯尼考残留

目的建立液相色谱-串联质谱法测定蜂蜜中氯霉素、甲砜霉素和氟苯尼考的分析方法。方法以氯霉素-D5为内标,样品用乙酸乙酯提取,提取液在45℃氮气吹至近干,残渣用2mL水溶解,溶解液过Oasis HLB柱净化,洗脱液在45℃氮气吹干, 50%甲醇水溶液定容,后经正己烷脱色脱脂、PSA粉末吸附净化,高速离心过膜后用串联四极杆检测。样液经过Agilent Eclipse XDB-C₁₈色谱柱分离,甲醇-水流动相梯度洗脱,多反应监测扫描模式检测。采用内标法定量。结果氯霉素在0.1~4.0μg/kg、甲砜霉素和氟苯尼考在0~40.0μg/kg呈良好的线性关系,相关系数大于0.999,回收率为93.7%~109.7%,RSD为0.7%~11.4%,检出限为0.03~0.09μg/kg,定量限为0.1~0.3μg/kg。结论该方法准确、检出限低、重现性好,适用于蜂蜜中氯霉素、甲砜霉素和氟苯尼考残留的检测。     

机载设备的50 ms直流供电中断抑制

随着机载供电系统的更新和升级,直流供电将成为主流供电体制。 GJB181 B-2012提出了关键用电设备需适应由于汇流条或电源转换产生的50 ms供电中断特性。介绍了采用电容储能抑制50 ms直流供电中断的方法,分析了大容量储能电容带来成本高、开机电流冲击大等问题,提出了基于Boost变换的电容储能电路以及启动限流的改进措施,有效地提升了机载用电设备安全性和可靠性。     

ECG arrhythmia recognition via a neuro-SVM-KNN hybrid classifier with virtual QRS image-based geometrical features

In this study, a new supervised noise-artifact-robust heart arrhythmia fusion classification solution, is introduced. Proposed method consists of structurally diverse classifiers with a new QRS complex geometrical feature extraction technique.Toward this objective, first, the events of the electrocardiogram (ECG) signal are detected and delineated using a robust wavelet-based algorithm. Then, each QRS region and also its corresponding discrete wavelet transform (DWT) are supposed as virtual images and each of them is divided into eight polar sectors. Next, the curve length of each excerpted segment is calculated and is used as the element of the feature space. Discrimination power of proposed classifier in isolation of different Gold standard beats was assessed with accuracy 98.20%. Also, proposed learning machine was applied to 7 arrhythmias belonging to 15 different records and accuracy 98.06% was achieved. Comparisons with peer-reviewed studies prove a marginal progress in computerized heart arrhythmia recognition technologies.     

关联规则在公安情报分析中的应用研究

首先分析了数据挖掘中的类FP关联规则算法,然后以群体性事件为例,介绍了如何将类FP关联规则算法应用到公安情报分析领域,得出有效的分析结论,为公安机关执法提供依据.