Stochastic model with a matching function in service market

This paper constructs a stochastic endogenous growth model through introducing into a matching function. We study the stochastic optimization problem of the workers and employers pursuing expectation discount effectiveness (income or profit) maximum in the service market. By using stochastic analysis methods and process, we analyze the relationship between the number of employment, wage and labor input under equilibrium level. Moreover we discuss the workers 'welfare, some helpful results are obtained.

Performance of n-type silicon/silver composite anode material in lithium ion batteries: A study on effect of work function matching degree

In this paper, two types of silicon（Si） particles ball-milled from n-type Si wafers, respectively, with resistivity values of 1 Ω·cm and 0.001 Ω·cm are deposited with silver（Ag）. The Ag-deposited n-type 1-Ω·cm Si particles（nl-Ag） and Ag-deposited n-type 0.001-Ω·cm Si particles（n0.001-Ag） are separately used as an anode material to assemble coin cells,of which the electrochemical performances are investigated. For the matching of work function between n-type 1-Ω·cm Si（nl） and Ag, nl-Ag shows discharge specific capacity of up to 683 mAh·g^-1 at a current density of 8.4 A·g^-1, which is40% higher than that of n0.001-Ag. Furthermore, the resistivity of nl-Ag is lower than half that of n0.001-Ag. Due to the mismatch of work function between n-type 0.001-Ω·cm Si（n0.001） and Ag, the discharge specific capacity of n0.001-Ag is 250.2 mAh·g^-1 lower than that of nl-Ag after 100 cycles.

MATCH、INDEX函数在高校学生信息管理中的应用

Microsoft Extol是目前市场上最流行的数据处理软件，广泛应用于财务、销售、统计、管理等众多领域。本文以举例分析的方式来探讨Excel中MATCH、1NDEX函数在高校学生信息管理中的应用。实践证明：利用MATCH和1NDEX函数的嵌套公式，有效地解决了高校学生信息管理工作中的难题。

Broadband matched-field inversion for shallow water environment parameters

In this paper, broadband multi-frequencies matched-field inversion method is used to determine the environmental parameters in shallow water. According to different conditions, several broadband objective functions are presented. Using ASIAEX2001 experiment data and genetic algorithms, environmental parameters are obtained, especially in sediment.

MATCHING PURSUITS AMONG SHIFTED CAUCHY KERNELS IN HIGHER-DIMENSIONAL SPACES

Appealing to the Clifford analysis and matching pursuits, we study the adaptive decompositions of functions of several variables of finite energy under the dictionaries consisting of shifted Cauchy kernels. This is a realization of matching pursuits among shifted Cauchy kernels in higher-dimensional spaces. It offers a method to process signals in arbitrary dimensions.

Thermoelastic Analysis of Non-uniform Pressurized Functionally Graded Cylinder with Variable Thickness Using First Order Shear Deformation Theory(FSDT) and Perturbation Method

Recently application of functionally graded materials（FGMs） have attracted a great deal of interest. These materials are composed of various materials with different micro-structures which can vary spatially in FGMs. Such composites with varying thickness and non-uniform pressure can be used in the aerospace engineering. Therefore, analysis of such composite is of high importance in engineering problems. Thermoelastic analysis of functionally graded cylinder with variable thickness under non-uniform pressure is considered. First order shear deformation theory and total potential energy approach is applied to obtain the governing equations of non-homogeneous cylinder. Considering the inner and outer solutions, perturbation series are applied to solve the governing equations. Outer solution for out of boundaries and more sensitive variable in inner solution at the boundaries are considered. Combining of inner and outer solution for near and far points from boundaries leads to high accurate displacement field distribution. The main aim of this paper is to show the capability of matched asymptotic solution for different non-homogeneous cylinders with different shapes and different non-uniform pressures. The results can be used to design the optimum thickness of the cylinder and also some properties such as high temperature residence by applying non-homogeneous material.

Domain Decomposition and Matching for Time-Domain Analysis of Motions of Ships Advancing in Head Sea

A domain decomposition and matching method in the time-domain is outlined for simulating the motions of ships advancing in waves. The flow field is decomposed into inner and outer domains by an imaginary control surface, and the Rankine source method is applied to the inner domain while the transient Green function method is used in the outer domain. Two initial boundary value problems are matched on the control surface. The corresponding numerical codes are developed, and the added masses, wave exciting forces and ship motions advancing in head sea for Series 60 ship and S175 containership, are presented and verified. A good agreement has been obtained when the numerical results are compared with the experimental data and other references. It shows that the present method is more efficient because of the panel discretization only in the inner domain during the numerical calculation, and good numerical stability is proved to avoid divergence problem regarding ships with flare.

Proportional integral derivative controller design using Legendre orthogonal functions

The Legendre orthogonal functions are employed to design the family of PID controllers for a variety of plants. In the proposed method, the PID controller and the plant model are represented with their corresponding Legendre series. Matching the first three terms of the Legendre series of the loop gain with the desired one gives the PID controller parameters. The closed loop system stability conditions in terms of the Legendre basis function pole(λ) for a wide range of systems including the first order, second order, double integrator, first order plus dead time, and first order unstable plants are obtained. For first order and double integrator plants, the closed loop system stability is preserved for all values of λ and for the other plants, an appropriate range in terms of λ is obtained. The optimum value of λ to attain a minimum integral square error performance index in the presence of the control signal constraints is achieved. The numerical simulations demonstrate the benefits of the Legendre based PID controller.

基于双前沿面数据包络分析的云制造服务功能匹配

针对云制造环境下功能匹配过程中属性权重需提前确定,进而影响匹配精度的问题,提出了一种基于本体相似度的双前沿面数据包络分析(DEA)匹配方法,该方法根据总体几何平均相似度进行服务排序,并自动生成属性权重。首先,为了提高匹配效率,从基本信息、类型、状态及功能四方面对云制造服务与需求进行描述;然后,引入信息量并改进相似度计算方法,提出基于概念语义距离、信息量和概念层次顺序的本体概念综合语义相似度计算方法;在此基础上,运用双前沿面DEA模型衡量总体效率,以此进行服务排序;最后通过算例证明了该方法的可行性。所提方法为改善云制造服务功能匹配效果提供了参考。

血小板抗体检测联合交叉配型对输注血小板患者凝血功能及安全性的影响

目的:探讨血小板抗体检测联合交叉配型对输注血小板患者凝血功能及安全性的影响。方法:选取2021年5月—2024年5月于常州市第一人民医院输注血小板的60例患者为研究对象,根据随机数字表法分为两组,对照组(30例)采取常规输注方法;试验组(30例)先进行血小板抗体检测联合交叉配型,再行血小板输注。对比两组血小板计数增加指数(CCI)、输注有效率、凝血功能[活化部分凝血活酶时间(APTT)、凝血酶原时间(PT)、凝血酶时间(TT)]、输血相关并发症发生情况。结果:输注后1 h、24 h,试验组CCI均大于对照组(P<0.001);试验组输注有效率高于对照组(P=0.023);输注后24 h,两组APTT、PT、TT缩短,试验组短于对照组(P<0.05);试验组输血相关并发症总发生率低于对照组(P=0.011)。结论:血小板抗体检测联合交叉配型可提高血小板输注效果,改善患者凝血功能,且安全性较高。

数字经济与品牌投资融合发展探析

当今世界正在经历一场大范围、深层次的由数字技术带来的社会经济革命,数字经济发展成了一个全新的经济类型。产品如何在市场中脱颖而出,关键问题在于有效的价值定位和独特的销售点,品牌独有的外溢效应赋予产品附加价值,数字经济以其独特优势为产品提供新平台、新模式。通过品牌投资数字化、研发创新推动品牌建设、云数据结构化调整,以及需求与服务业深度融合等措施,可以发挥数字经济与品牌投资的协同效应,互相促进、互相影响,带动市场经济发展。

Trie+结构函数式建模、机械化验证及其应用

Trie结构是一种使用搜索关键字来组织信息的搜索树,可用于高效地存储和搜索字符串集合.Nipkow等人给出了实现Trie的Isabelle建模与验证,然而其Trie在存储和操作时存在大量的冗余,导致空间利用率不高,且仅考虑英文单模式下查找.为此,基于索引即键值的思想提出了Trie+结构,相较于传统的索引与键值分开存储的结构能减少50%的存储空间,大大提高了空间利用率.并且,对Trie+结构的查找、插入、删除等操作给出了函数式建模及其严格的机械化验证,保证操作的正确性和可靠性.进一步,提出一种匹配算法的通用验证规约,旨在解决一系列的匹配算法正确性验证问题.最后,基于Trie+结构与匹配算法通用验证规约,建模和验证了函数式中英文混合多模式匹配算法,发现并解决了现有研究中的基于完全哈希Trie的多模式匹配算法的模式串前缀终止的Bug.该Trie+结构以及验证规约在提高Trie结构空间利用率和验证匹配算法中,有一定的理论和应用价值.

惯性角速度匹配测量方程的耦合误差分析

针对惯性角速度匹配测量方程得不到理论精确解的问题,根据角速度匹配测量方程建立了形变角估计误差与船体角运动和动态形变角的相关函数模型,从理论上证明了船体角运动与动态形变角之间的交叉耦合将产生形变角估计误差。在动态形变角和船摇角幅度分别为20″和2°的仿真条件下,当船体运动角速度与动态形变角速度不相关时,形变角估计误差均值分别为-1.8"、3.7"、3.8";当船体运动角速度与动态形变角速度完全相关时,形变角估计产生约50"的偏置误差。仿真和实验结果表明,误差的大小与二者之间的相关系数呈正相关。研究结果可为舰船形变测量和传递对准相关的理论研究和工程应用提供参考。

高山峡谷多视卫星立体像对真三维重建

为解决大面积艰险条件下高山峡谷真三维重建难题,提高卫星影像空间及光谱分辨率,以中国西藏某高山峡谷流域Pleiades卫星立体像对为切入点,探讨了RPC轨道参数校正、SIFT算子优化密集匹配等卫星影像三维重建关键技术,构建无控定位条件下全色、多光谱及融合状态下真三维重建模型。结果表明:3种方案下多视卫星立体像对匹配点误差均小于1个像素,全色方案匹配点精度达到0.67个像素,丰富了1∶5千、1∶1万地形图测绘、地质灾害早期识别及监测、高海拔地区冰川演变分析手段及方法。研究成果可为卫星影像真三维重建提供借鉴。

任务匹配系统中高效可撤销属性加密方案

针对传统任务匹配系统中数据处理存在的安全隐私和成本开销问题,提出了一种适用于资源有限系统的高效可撤销外包密文策略属性加密方案.通过将传统的加密分为用户离线和在线加密阶段两部分实现快速加密,并将密文外包给云服务器再与区块链建立联系以降低用户计算成本,最后利用变色龙哈希函数更新用户私钥进行属性撤销和用户撤销两类细粒度撤销.最后通过实验表明,该方案与现有可撤销属性加密方案相比,可以抵御密钥泄露和共谋攻击,且具有更低的时间开销.

改进的居民地要素模板匹配化简方法

针对基于转角函数的模板匹配化简方法易出现的3类化简错误,即模板库找不到合适的化简模板、计算形状相似度时错误选择模板、化简结果出现位置及方向偏差等问题,提出一种改进的居民地要素模板匹配化简方法。首先构建基于转角函数的无偏相似性度量模型,减小居民地与模板之间的形状相似性度量误差,然后将匹配过程划分为“粗匹配”和“精匹配”两个阶段,克服形状相似性度量对边界起始点选择的敏感性,提高匹配效率,最后针对化简区域或邻近区域已有更小尺度居民地数据的情况,研究模板库自动扩充方法,提高模板库的完备性。通过真实数据试验分析,验证了本文方法在化简中能保持居民地的主体形态特征,实现不同尺度的化简。与现有方法相比,本文方法能够有效克服3类化简错误,提高对复杂居民地的化简率,使化简居民地与模板之间的形状吻合度更高。

面向深度学习密集匹配的无监督损失函数

随着深度学习的发展,监督型密集匹配网络取得了瞩目的成就。然而,密集匹配的真实标签制作困难,获取成本高,基于无监督深度学习的密集匹配方法是未来趋势。目前,面向无监督密集匹配提出了众多损失函数,但各种组合损失复杂且存在效果不明的问题。为此,本文针对密集匹配无监督损失函数开展研究,分析各类损失的精度和匹配效果,并考证组合应用的有效性。结果表明,重构相似性约束是令无监督密集匹配网络匹配精度收敛的关键项,组合使用重构损失和左右一致损失有助于无纹理、弱纹理区域匹配,在此基础上加入相对平滑损失能更好适应阴暗环境。

保护搜索内容的字符串模式匹配算法研究

高效的在线字符串模式匹配算法对云数据库检索至关重要,然而搜索内容的泄露会威胁用户隐私。现有的字符串模式匹配算法没有考虑用户搜索内容的保护,可搜索加密方案虽然可以保护用户的搜索内容,但存在索引构建代价大、检索效率低等问题。因此,提出了两种保护用户搜索内容的模式匹配算法:基于分布式点函数的模式匹配(pattern matching based on distributed point function,PMDPF)算法和基于分布式点函数的跳跃式模式匹配(jumping pattern matching based on distributed point function,JPMDPF)算法。PMDPF算法利用指纹函数以及分布式点函数构造模式串真值表,并分发给两台独立的服务器,把搜索中字符对比操作转换为查表操作,从而保护搜索内容。为了提升搜索效率,提出了JPMDPF算法。通过字符跳转,JPMDPF算法以泄露更多信息为代价,其搜索效率比PMDPF算法平均提高了约m倍,其中m为搜索内容长度,同时显著降低了因指纹函数碰撞而导致的误判的概率。实验结果表明,PMDPF算法的搜索效率比基于指纹函数的经典算法提高约5%,并优于现有的可搜索加密方案,PMDPF算法的搜索耗时在搜索内容长度为4时是JPMDPF算法的4.2倍。

多雷达多目标航迹匹配策略

在进行多雷达多目标航迹匹配时,由于测元系统误差随跟踪距离传播,雷达测量精度下降,易出现航迹匹配错误的情况。针对该情况,应用多测元非线性融合模型,采用样条约束的误差模型最佳弹道估计(Error Model Best Estimation of Trajectory,EMBET)方法对雷达测元系统误差进行自校准,将利用欧几里得距离进行航迹匹配的传统方法改为利用精度较高的雷达测距作差比较,有效解决了多雷达航迹匹配时的门限阈值合理设置的难题。仿真结果证明算法有效适用,可极大地提高多雷达多目标航迹匹配时的准确度,对完成多目标空域分布、目标识别等突防效果分析评估具有重要价值。

基于Haar小波变换的重力场方向性适配区选取方法

水下重力场适配区的选取在重力匹配导航系统中起着至关重要的作用,传统适配区选取方法通常以重力场区域统计特性作为评价标准,而存在对方向适配性特征描述不准确的问题,在适配区中往往存在某一航向轨迹的匹配精度大幅下降的情况。针对此问题,提出一种基于Haar小波变换的方向性适配区选取方法,将小波变换后得到的高频信息图进行再组合,从而得到针对于任意指定航向的重力高频信息图。通过对某一海域的船载重力数据进行实验验证,基于所提方法可以根据当前航向选取出更具有针对性的适配区域,适配区内匹配率提升6.3%。所提出的方法不仅解决了现有适配区选取方法对方向适配性描述不准确的局限性,而且为潜航器选择以何种航向进入适配区起到了指导性作用。