微孔塑料负压管研制数学模型

利用塑料微孔发泡技术生产负压给水管的条件,除具有微泡孔外还需要是开孔,以达到透水的目的。为了能满足研制不同透水率的负压给水管,文章阐述了建立负压给水管微孔数学模型和微孔塑料负压给水管生产模型,以指导研制过程。     

一种带负充电泵的IR2110驱动抗干扰电路设计

由于IR2110内部不能产生负电压,因此在采用零电压关断IGBT时容易产生毛刺干扰,对此研究了IGBT体寄生二极管反向恢复过程,并结合IGBT的输入阻抗米勒效应,分析出IR2110零电压关断毛刺干扰产生原因,最后对IR2110典型零电压关断电路进行改进,设计一种带负充电泵的IR2110关断电路.经实验验证,该电路可有效解决IR2110的零电压关断毛刺干扰问题,保证逆变器的工作稳定性.     

WSNs入侵检测中实值否定选择算法研究

针对无线传感器网络免疫入侵检测中否定选择算法采用r-连续位二进制串匹配度作为亲和力,检测率低且无法反映WSNs在一段时间内的动态特性这一现象,提出采用RNS-WSNs算法,该算法用一段时间内属性值的变化率构成向量作为抗原和抗体,通过计算向量间的曼哈顿距离作为亲和力。在NS3上模拟WSNs进行实验,结果显示在能量消耗相当且误报率相同的情况下,RNS-WSNs算法具有更高的检测率。     

Asymptotic stability in probability and stabilization for a class of discrete‐time stochastic systems

This paper investigates asymptotic stability in probability and stabilization designs of discrete‐time stochastic systems with state‐dependent noise perturbations. Our work begins with a lemma on a special discrete‐time stochastic system for which almost all of its sample paths starting from a nonzero initial value will never reach the origin subsequently. This motivates us to deal with the asymptotic stability in probability of discrete‐time stochastic systems. A stochastic Lyapunov theorem on asymptotic stability in probability is proved by means of the convergence theorem of supermartingale. An example is given to show the difference between asymptotic stability in probability and almost surely asymptotic stability. Based on the stochastic Lyapunov theorem, the problem of asymptotic stabilization for discrete‐time stochastic control systems is considered. Some sufficient conditions are proposed and applied for constructing asymptotically stable feedback controllers. Copyright © 2014 John Wiley & Sons, Ltd.     

How to maneuver in the world of negative online reviews,the important ethical considerations for attorneys,and changes needed to protect the legal profession

The advent of the Internet and social media has revolutionized the way society communicates, the speed in which news is disseminated, and the approach that people take in their daily decision-making. Online reviews are now common place on nearly every consumer-related website. Consequently, attorneys are also being publicly scrutinized by their clients on a range of topics from price, competence, satisfaction, personality, communication, and effectiveness. On one side of the coin, this new phenomenon can be very rewarding since attorneys were previously limited to receiving a small number of referrals from the word-of-mouth promotion before the creation of online reviews. However, the exact opposite is true. Negative online reviews, whether accurate or not, may deter potential clients from even giving the attorney a second thought. As a result, a firm's business can feel the immediate impact of negative reviews. Attorneys, who legitimately need and want to protect their business and reputation, cannot speak freely online to defend their honor. Rather, an attorney must be mindful of not disclosing confidential client information or crossing other ethical lines that may then expose the attorney to potential discipline. There are several interests that must be considered such as allowing attorneys to exercise their First Amendment right to free speech, respect and adherence to the ethical rules of non-disclosure of confidential information, allowing attorneys to preserve their reputation, and protecting an attorney's marketability and means of generating income. This article explores the trend in offering reviews online in a variety of industries, including legal services, the statistical findings regarding the prevalence of this information and consumers' reliance on the information while making a purchasing decision. This article also considers the positive and negative implications of the reviews being so widely spread, while highlighting unique considerations as it relates to the practice of law and factors that may greatly skew a reviewer and reader's perceptions. Next, this article outlines the ethical considerations of attorneys if they want to respond to negative online feedback, such as disclosure of confidential information. Then, this article analyzes the American Bar Association (ABA) and several US states' ethics opinions for guidance for attorneys who wish to respond negative reviews. Finally, this article details the author's recommendations for attorneys, the ABA, and the US states and propose the areas where additional ethics opinions, rules and guidelines should be focused to establish a proper balance between the valuable insights discovered from a client's review and attorneys' legitimate interests in protecting their reputation and livelihood from inaccurate, malicious, or erroneous postings.     

基于向量内积的非频繁项挖掘算法研究

针对负关联规则中非频繁项集的生成问题,将向量内积引入到该领域.通过对事务数据库的布尔化表示及对数据存储结构的合理分配,提出了一种新的非频繁项集快速生成算法.该算法首先将布尔化所得矩阵中的向量进行内积运算,通过逐层递增的思想,用两级支持度模型来约束非频繁项集与频繁项集的产生,使非频繁项集不仅可由频繁项集之间连接产生,而且...     

NSC:一种新型的垃圾邮件过滤器

借鉴生物免疫系统能有效的区别自体与非自体防御外部病源体入侵的工作机制,结合用户行为特征模式,提出了一种基于免疫机制的垃圾邮件过滤器模型NSC.在该模型中,给出了自体、非自体、抗体和抗原的定义与实现方式,建立了抗体的克隆选择、学习机制和生命周期模型.详细的描述了模型的训练与检测过程.试验结果表明,基于免疫机制的过滤器不仅有效的提高了检测率,而且还表现出良好的自学能力与自适应性.     

基于关节力矩的柔性关节机器人的控制策略

由于关节柔性降低了系统的带宽并影响系统的鲁棒稳定性,因此,采用基于关节力矩负反馈的控制策略。通过减小电机端有效惯量的方法可以大大提高系统带宽并增强鲁棒稳定性;在机器人的控制上,采用一种基于全状态反馈的复合控制结构,证明了系统的稳定性,并在现有的机械臂上实现了位置和阻抗控制实验,验证了该控制策略的有效性和可行性。     

高维数据环境下网络异常检测的改进否定选择算法

人工免疫中的否定选择算法目前已成功地应用于异常检测的低维数据集上,但在高维数据集上的效果不大理想。为了改善算法的性能,分析了现有否定选择算法在网络异常检测中的不足,对带变长检测器的否定选择算法进行了修改,提出了一种改进的否定选择算法,新算法中通过移动检测器控制检测器覆盖情况。仿真实验结果表明了改进算法在网络异常检测中高维数据集上的有效性,可以取得较高的检测率和较低的误报率。     

基于决策树及遗传算法的人工免疫入侵检测算法

针对传统的否定选择算法中生成大量无效抗体,并且抗体之间缺乏多样性的问题,设计了基于决策树及遗传算法的人工免疫入侵检测算法。将决策树和遗传算法引入传统的否定选择算法中,利用决策树计算抗原和抗体之间的亲和力,提出了新fitness的计算公式,并利用抗体浓度衡量抗体集的多样性,将低浓度抗体代替高浓度抗体,实现了抗体的多样性,确保了当抗体集的数量一定时尽可能覆盖最大的非自体集空间,以提高抗体集的性能。