基于遗传和禁忌搜索算法求解双资源车间调度问题

针对柔性生产环境下的车间调度问题,在考虑遗传算法早熟收敛特性和禁忌搜索法自适应优点的基础上,将遗传算法和禁忌搜索法结合起来,提出了基于遗传算法和禁忌搜索算法的双资源作业车间的调度优化问题算法,即不仅考虑到了每个工件有几条可行的工艺路线,而且考虑到了工件的调度受到机床、工人等资源制约的影响,并用实例对该算法进行了仿真研究.结果表明此算法有很好的收敛精度,是可行的,与传统的调度算法相比较,体现出其明显的优越性.     

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, …     

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.     

增量式编码器数据采集

使用增量式编码器实现了对旋转角度无误差测量。通过检测A相一个周期的同一边沿,可精确判断其旋转方向,给出了无误差测量的实现方法。采用该测量方法可实现无误差测量。     

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 ,…