基于模糊度测度和改进遗传算法的图像分割

为了利用模糊集理论进行图像分割,本文提出了一种模糊度测度函数,它衡量了背景模糊集和某一个二值图像的相似性:模糊度越小,这种相似程度越大;并且对模糊度的计算只需要进行简单的比较运算和加法运算,便于硬件实现。本文利用遗传算法求取最佳阈值,针对遗传算法的某些不足之处.我们利用精英策略和模拟退火的思想,对其做了一些修正。实验结果表明:相对于Shannon熵方法和模糊熵方法,本文方法取得了较好的分割结果,并且具有较强的抗噪声能力。     

江苏省公共机构用水定额修订实践与探析

在深入分析江苏省2014版公共机构用水定额存在问题的基础上,研究确定了用水定额修订的一般原则,采用冒泡排序法、二次平均法、典型单位调查法等定额修订方法,通过综合分析得出最终定额值,修订成果符合《用水定额编制导则》的相关要求,为强化节水监管、提高用水效率提供了科学合理的技术依据.     

氧化铝增强无机硅酸锌涂层的电化学阻抗谱研究

无机硅酸锌涂层是一种广泛使用的钢铁重防腐涂层。采用在涂料填料中加入氧化铝的方法可以得到具有更好耐磨性能的富锌涂层。本实验研究利用电化学阻抗谱法(EIS)研究了氧化铝的加入对涂层腐蚀防护性能的影响,结果表明氧化铝颗粒的加入使涂层的腐蚀防护性能略有提高。     

NPHMC: An R-package for estimating sample size of proportional hazards mixture cure model

Due to advances in medical research, more and more diseases can be cured nowadays, which largely increases the need for an easy-to-use software in calculating sample size of clinical trials with cure fractions. Current available sample size software, such as PROC POWER in SAS, Survival Analysis module in PASS, powerSurvEpi package in R are all based on the standard proportional hazards (PH) model which is not appropriate to design a clinical trial with cure fractions. Instead of the standard PH model, the PH mixture cure model is an important tool in handling the survival data with possible cure fractions. However, there are no tools available that can help design a trial with cure fractions. Therefore, we develop an R package NPHMC to determine the sample size needed for such study design.     

模数对无机富锌涂料和涂层性能的影响

硅酸钾富锌涂料是目前广泛使用的钢铁防腐蚀涂料。作为涂料粘结剂的高模数硅酸钾溶液对涂料和涂层的性能有重要影响。本研究考察了硅酸钾粘结剂的模数变化对涂料及涂层性能产生的影响。实验结果表明：粘结剂模数的提高可以提高固化后涂层的耐水性能，当粘结剂模数在5.0左右时，所得富锌涂层具有最佳的耐磨性能，但当粘结剂模数超过5.5时会造成涂料施工性能和贮存稳定性下降，涂层柔韧性降低，从而降低涂层的耐磨性能。     

An alternate quantum adiabatic evolution for the Deutsch–Jozsa problem

Deutsch–Jozsa algorithm has been implemented via quantum adiabatic evolutions by Das et al. (Phys Rev A 65:062310, 2002) and Wei et al. (Phys Lett A 354:271, 2006). In the latter literature, the authors have shown a modified version of the adiabatic evolution which can improve the performance of the algorithm of S. Das et al’s to constant time. In this paper, we also improve the algorithm of S. Das et al’s in a constant time but by using a different construction of adiabatic evolution, i.e., adding ancillary qubits. The algorithm in this paper provides an alternative option to potential users.     

Optimality of partial adiabatic search and its circuit model

In this paper, we first uncover a fact that a partial adiabatic quantum search with \(O(\sqrt{N/M})\) time complexity is in fact optimal, in which \(N\) is the total number of elements in an unstructured database, and \(M\) ( \(M\ge 1\) ) of them are the marked ones(one) \((N\gg M)\) . We then discuss how to implement a partial adiabatic search algorithm on the quantum circuit model. From the implementing procedure on the circuit model, we can find out that the approximating steps needed are always in the same order of the time complexity of the adiabatic algorithm.     

An efficient quantum search engine on unsorted database

We consider the problem of finding one or more desired items out of an unsorted database. Patel has shown that if the database permits quantum queries, then mere digitization is sufficient for efficient search for one desired item. The algorithm, called factorized quantum search algorithm, presented by him can locate the desired item in an unsorted database using O( $log_4N$ ) queries to factorized oracles. But the algorithm requires that all the attribute values must be distinct from each other. In this paper, we discuss how to make a database satisfy the requirements, and present a quantum search engine based on the algorithm. Our goal is achieved by introducing auxiliary files for the attribute values that are not distinct, and converting every complex query request into a sequence of calls to factorized quantum search algorithm. The query complexity of our algorithm is O( $log_4N$ ) for most cases.     

基于IETM驱动的智能化便携诊断设备

由IETM驱动的便携诊断设备目前已成为舰船电子设备现场级维修所依赖的主要手段和工具;为解决某雷达告警设备的现场级诊断问题,提出了一种采用成熟的AIMSS软件和TEAMS软件,综合测试诊断需求分析、测试性分析评估、诊断策略生成和IETM开发过程,并根据顶层分配的测试需求研制由IETM驱动的现场便携式智能诊断设备的方法;同时,采用COM接口技术解决了两个软件的诊断信息融合;研制的设备已在基层部队得到试用,经济适用,对告警设备现场级维修能力的提高具有明显的促进作用。     

基于多信号模型的故障诊断算法研究

多信号模型是一种简单而有效的系统建模表示方法,在测试性分析与故障诊断领域得到了广泛的应用;本文结合示例给出了多信号模型的建模和分析过程,并由多信号模型得到了故障-测试相关矩阵;在信息熵理论的基础上,通过定义新的目标函数,本文对最优测试序列的生成进行了具体算法分析,并由此得出了最优诊断树,与TEAMS工具箱的仿真结果一致;和其他方法相比,该方法不仅结果更加优化,而且效率更高,易于计算机编程实现,对测试性分析工具的研发具有一定的参考价值。