直齿圆柱齿轮的可靠度对设计参数的灵敏性分析

由于在设计、生产、使用、维护等产品生命周期各阶段的不确定因素的影响，使机械零件的质量产生波动，可靠度降低。文中试图在机械设计初期，结合概率统计分析理论和可靠性设计理论，揭示出机械零件的可靠度与基本设计变量之间的本质联系，推导出可靠度对参数的灵敏性计算公式，用直齿圆柱齿轮的计算实例进行分析，深刻探讨齿轮设计参数的变化对齿轮可靠度的影响方向和灵敏程度。其结论对齿轮的设计人员、制造和使用人员在理论和实践中均具有重要的参考价值。     

个人所得税收入分配效应的模型分析

通过分析征税行为对征税前后的基尼系数的影响,讨论了个人所得税的收入分配效应.结论是只有当税赋基尼系数大于税前基尼系数时,征收个人所得税才能对收入分配起到调节作用.     

论专利实施许可下被许可人的诉讼资格

专利权是一种专有权,可是专利权人可以通过专利实施许可合同赋予被许可人专利实施权。但是,当出现第三人侵犯专利实施许可合同项下的专利权时,被许可人能否提起诉讼在我国法律上存在缺失,使得这成为一个急需解决的问题。本文从专利实施许可三种方式的特征及其区别来探讨此问题。     

施工监控管理研究

在预应力混凝土斜拉桥中,几何线形和结构内力的控制十分重要,应根据斜拉桥的结构及施工特点,制定出相应的施工监控方案。据此以德州市新河斜拉桥为实例,介绍了该斜拉桥施工监控的内容和方法。     

Experimental study to confirm the existence of hydrocarbon under high pressure and temperature of deep lithosphere

Previous studies indicated that the existence of over- pressure in sedimentary basins not only affects the as- sessment of oil and gas resources, but also closely re- lates to the accumulation and preservation of petroleumin deep reservoirs[1,2]. It is well known that there are more than 180 overpressure basins in the world. Be- cause fluid pressure is transient in sedimentary basin over geologic time, the effect of increasing pressure on organic matter metamorphism is difficult to determine, …     

基于混合系统的倒立摆的建模与仿真

针对倒立摆系统中摆杆的控制问题,从混合系统的角度出发,将单摆描述为一个混合自动机,运用不同控制策略之间的切换,构造能量控制器进行起摆控制,在工作平衡点运用线性反馈控制器进行稳定控制,实现将倒立摆从不同初始状态摆起并稳定在θ=0(工作位置)的目标位置。在MATLAB环境中建立单摆的Simulink仿真模型并通过CheckMate 3．6工具箱进行仿真,结果表明在不同初始条件下的单摆系统都能在较短时间内到达垂直向上位置并稳定。     

A Fault Detection Mechanism in Erasure-Code Byzantine Fault-Tolerance Quorum

Fault-tolerance is increasingly significant for large-scale storage systems in which Byzantine failure of storage nodes may happen. Traditional Byzantine Quorum systems that tolerate Byzantine failures by using replication have two main limitations： low space-efficiency and static quorum variables. We propose an Erasure-code Byzantine Fault-tolerance Quorum that can provide high reliability with far lower storage overhead than replication by adopting erasure code as redundancy scheme. Through read/write operations of clients and diagnose operation of supervisor, our Quorum system can detect Byzantine nodes, and dynamically adjust system size and fault threshold. Simulation results show that our method improves performance for the Quorum with relatively small quorums.     

Anti-interference method for HF radars by transmitting phase-modulated chirps

Radio frequency interference （RFI） is a major problem in high-frequency （HF） radars. Conventional filtering-involved RFI suppression methods may introduce distortions to the target signals of interest and often demand extra hardware costs. In this paper, a novel method for RFI suppression by using linearly or randomly phase-modulated （PM） chirps is proposed, which enables independent analyses of the target signal and the RFI. Furthermore, the directions of arrival （DOA） of the interference are used as constraints to ensure a better DOA estimation of the target. The effectiveness of the method is demonstrated by numerical simulation results. The method can greatly improve the anti-interference capabilities of HF radars and is extremely applicable in the portable and low-cost radar systems.     

Subsumption Checking between Concept Queries in Different Ontologies Based on Mutual Instances

This paper proposes a checking method based on mutual instances and discusses three key problems in the method： how to deal with mistakes in the mutual instances and how to deal with too many or too few mutual instances. It provides the checking based on the weighted mutual instances considering fault tolerance, gives a way to partition the large-scale mutual instances, and proposes a process greatly reducing the manual annotation work to get more mutual instances. Intension annotation that improves the checking method is also discussed. The method is practical and effective to check subsumption relations between concept queries in different ontologies based on mutual instances.     

Incorporating Domain Knowledge into Data Mining Process： An Ontology Based Framework

0 IntroductionTeosda,yth meyan hya voerg daantiazbaatisoenss t hhaatv ec hmaonrgee t ahnadn glarrogwe cdoatnatibnaus--ously. One of the i mportant research issues is incrementalmining. Otherwise, various researchers have made sugges-tions that domain knowledge should be incorporated intoknowledge discovery ( KDD) process[1]. We focus on somesteps of the KDDprocess-those steps tying up with data min-ing,called a data mining (DM) process .Agrawalet al[2]showed an active data mining process ,…