Cyclic codes over some finite quaternion integer rings

In this paper, cyclic codes are studied over some finite quaternion integer rings with respect to the quaternion Mannheim distance.     

基于矩阵扩展方法的多速率线性离散码设计

在采用空时码的无线通信系统中,收发2端较差的路径会降低系统的性能.提出了多速率线性离散码(LDC),并对其进行了分析,给出了一种基于矩阵扩展方法的设计算法.多速率LDC是传统LDC和LDC-TAS的BER性能的折中.进而提出了一种性能优于传统LDC-A-TAS算法的多速率LDC自适应发送天线选择(A.TAS)算法.     

A new method for performance evaluation of bit decoding algorithms using statistics of the log likelihood ratio

This paper presents a new method for the performance evaluation of bit decoding algorithms. The method is based on estimating the probability density function (pdf) of the bit log likelihood ratio (LLR) by using an exponential model. It is widely known that the pdf of the bit LLR is close to the normal density. The proposed approach takes advantage of this property to present an efficient algorithm for the pdf estimation. The moment matching method is combined with the maximum entropy principle to estimate the underlying parameters. We present a simple method for computing the probabilities of the point estimates for the estimated parameters, as well as for the bit error rate. The corresponding results are used to compute the number of samples that are required for a given precision of the estimated values. It is demonstrated that this method requires significantly fewer samples as compared to the conventional Monte-Carlo simulation.     

企业知识资本评估新方法探析--标杆瞄准评估法

本文在总结了企业知识资本评估方法的基础上,提出了一种全新的企业知识资本评估方法,即标杆瞄准评估法。该方法立足于企业之间的对比分析,更易于企业的应用。     

Unique-order interpolative coding for fast querying and space-efficient indexing in information retrieval systems

This paper presents a size reduction method for the inverted file, the most suitable indexing structure for an information retrieval system (IRS). We notice that in an inverted file the document identifiers for a given word are usually clustered. While this clustering property can be used in reducing the size of the inverted file, good compression as well as fast decompression must both be available. In this paper, we present a method that can facilitate coding and decoding processes for interpolative coding using recursion elimination and loop unwinding. We call this method the unique-order interpolative coding. It can calculate the lower and upper bounds of every document identifier for a binary code without using a recursive process, hence the decompression time can be greatly reduced. Moreover, it also can exploit document identifier clustering to compress the inverted file efficiently. Compared with the other well-known compression methods, our method provides fast decoding speed and excellent compression. This method can also be used to support a self-indexing strategy. Therefore our research work in this paper provides a feasible way to build a fast and space-economical IRS.     

一种基于关键词的创新度评价方法

本文提出基于关键词句频度及其他因素的文献创新度评价。这是一种基于语义的评价方法,可以促进某些学科总结出自己的关键词句词频表,便于用户更好地了解某个领域的发展态势。     

A new method for fault prediction of model-unknown nonlinear system

In this paper, the subspace identification based robust fault prediction method which combines optimal track control with adaptive neural network compensation is presented for prediction the fault of unknown nonlinear system. At first, the local approximate linear model based on input-output of unknown system is obtained by subspace identification. The optimal track control is adopted for the approximate model with some unknown uncertainties and external disturbances. An adaptive RBF neural network is added to the track control in order to guarantee the robust tracking ability of the observation system. The effect of the system nonlinearity and the error caused by subspace modeling can be overcome by adaptive tuning of the weights of the RBF neural network online without any requisition of constraint or matching conditions. The stability of the designed closed-loop system is thus proved. A density function estimation method based on state forecasting is then used to judge the fault. The proposed method is applied to fault prediction of model-unknown fighter F-8II of China airforce and the simulation results show that the proposed method can not only predict the fault, but has strong robustness against uncertainties and external disturbances.     

一种干涉条纹快速滤波算法

提出了一种快速干涉滤波算法,解决了传统干涉滤波方法速度较慢的问题.首先对2天线的单视复图像共轭相乘产生干涉复数据,进而对该数据进行方位向多视处理,并对实部和虚部分别快速均值滤波产生干涉条纹,最后对干涉条纹进行快速准中值和均值滤波.在滤波过程中,充分利用了相邻像素滤波时的窗口信息来最大程度减少运算量进而提高滤波速度,保证了滤波质量.通过对实测数据滤波结果的分析比较,证明了该算法的有效性.     

基于贝叶斯网络的电子商务质量评估研究

针对现有电子商务质量评估中存在的问题,提出了将静态质量概念模型与贝叶斯网络相结合的电子商务质量动态评估方法。并通过数据仿真建立了电子商务质量模型实例,对贝叶斯网络在B2C电子商务质量动态评估中的应用进行了探讨;最后将该评估方法与BP神经网络、决策树模型的评估结果进行比较,验证了使用该动态评估方法进行质量评估的准确性和优越性。     

A method for the closed-form evaluation of critical buckling loads for planar strongly curved bars

The calculation of critical buckling loads of planar curved bars, subjected to a general co-planar continuous external load (or a general co-planar terminal loading), leads to the solution of transcendental (nonlinear) equations. In this investigation a new method for the closed-form solution of such types of equations is presented. In particular, the transcendental equation u tan γ cot uγ = 1, corresponding to the buckling problem of a cantilever circular bar of high curvature loaded by two co-planar forces acting along its chord, is solved in a closed-form. Finally, several numerical results are presented, based on the Gauss integration rule.     

银行系统风险评估方法研究

考虑银行系统风险评估的复杂性,以模糊综合评价法为基本出发点,通过选择几个主观权和若干个客观权得到一个最优组合赋权模型,同时提出了最优组合赋权的模糊综合评价模型。在银行系统风险的评价中,利用该模型既可以考虑政策、经验等主观因素的影响,又可以充分利用客观数据所带来的信息,使评价结果既符合客观实际又符合主观要求,从而达到有效地防范和控制金融风险的目的。     

A method for identifying the critical success factors of CoP based on performance evaluation

The Community of Practice (CoP) within an organization is a practical way to manage knowledge as systematically as other critical assets to deploy and share it. The availability of the right information at the right time based on performance evaluations is critical. However, there have been few attempts to identify Critical Success Factor (CSFs) based on evaluations to foster knowledge sharing activities in CoPs. Therefore, we developed not only a holistic and systematic method to understand and assess the current state of the CoP but also a method to extract the main CSFs of the CoP based on a performance evaluation. A method for the elementary expression of performance measures and the global performance expression of strategies and CSF was developed using a desirability function to provide information useful in grasping the whole picture of the CoP. The relative importance of strategy and CSFs was extracted based on the cause and effect relationships within the Balanced Scorecard using the Analytic Network Process. In addition, an Importance–Performance Analysis (IPA) is applied based on the relative importance and global performance expression of the CSFs.     

基于科技文献的时序主题链构建方法

科技文献是科学研究的基础,展示文献中主题的演化过程有助于科研人员把握研究的脉络。针对某领域的科技文献,以构建时序主题链的方式来展现主题随时间变化的事实。为此,提出了主题间转移概率的计算方法和时序主题链的构建方法。实证研究选定国内管理科学领域三个核心期刊在2000-2011年间发表的4244篇论文进行实验,结果表明,时序主题链可以有效地展示主题随时间变化的过程,并能揭示主题演化过程中不同主题间的隐含关系。此外,通过分析时序主题链中的结构特征,还可揭示不同主题间的交叉融合特性。     

一类关于Uzawa-AOR方法的鞍点问题

对于大型稀疏鞍点问题,本文研究一类用于求解鞍点问题的Uzawa-AOR方法,我们得出了保证其收敛的迭代方法。实际上,与Uzawa为外迭代和AOR为内迭代的方法相比,新的方法可以被认为是一个不精确的迭代。最后数值算例结果表明,新的迭代方法可以减少每一步的迭代数并且具有更快的收敛速度。     

A framework for internet channel evaluation

The Internet is becoming an increasingly important and pervasive channel to market for many organisations. Despite its importance, and the continued pressure to justify IT expenditure, few organisations undertake comprehensive channel evaluation. Market leading evaluation firms provide technical and operational metrics for their clients such as the number of hits per page and site response times, but more sophisticated concepts such as user value and long-term business benefits remain underexplored in practice. In contrast, there is a growing academic literature on channel evaluation. Many frameworks and metrics have been proposed recently. This paper brings theory and practice together by synthesizing existing frameworks proposed by academics with those used by the market leaders in Internet channel evaluation. The resulting framework has two levels—a business- and a user-level. The framework is validated by Internet consultants, channel managers and channel users in three different sectors: retail, financial services and higher education. The framework is refined following the validation in response to the need for a simpler, more usable set of metrics. The outcome is a framework split into three “sets”. Set A constitutes the foundation stone of an Internet channel evaluation programme and consists of a core set of objective user-level metrics. Set B contains a further set of more sophisticated user-level metrics. Set C addresses business-level metrics, which enable the long-term contribution of the Internet channel to be evaluated.     

基于模糊层次分析法的协同项目风险评价模型

协同项目风险复杂,一般没有历史数据可参考,应用对传统项目的风险评估方法对其进行评估不够准确。针对协同项目的特点,结合三角模糊数和层次分析法,建立了基于模糊层次分析法的协同项目风险评价模型,并用实例验证了该模型的有效性。     

新兴技术商业化潜力的涵义及评价方法探讨

随着科技的发展,新兴技术层出不穷,从中选择具有重大商业化潜力的新兴技术进行重点发展和政策扶持,将能产生巨大的商业利润和社会效益.详细辨析了新兴技术商业化潜力的内涵和特征,并针对其潜力构成的评价方法进行了探讨,旨在抛砖引玉,为后继研究奠定基础.     

基于数据仓库的制造企业绩效评价方法分析

针对信息系统环境下制造企业绩效评价的需求,构建了基于数据仓库的制造企业绩效评价指标体系,明确了建立制造企业绩效评价数据仓库所需数据,并对如何获取这些数据进行了阐述,最后给出了运用数据挖掘方法进行制造企业绩效评价的实施步骤。     

A three-phase method for patent classification

An automatic patent categorization system would be invaluable to individual inventors and patent attorneys, saving them time and effort by quickly identifying conflicts with existing patents. In recent years, it has become more and more common to classify all patent documents using the International Patent Classification (IPC), a complex hierarchical classification system comprised of eight sections, 128 classes, 648 subclasses, about 7200 main groups, and approximately 72,000 subgroups. So far, however, no patent categorization method has been developed that can classify patents down to the subgroup level (the bottom level of the IPC). Therefore, this paper presents a novel categorization method, the three phase categorization (TPC) algorithm, which classifies patents down to the subgroup level with reasonable accuracy. The experimental results for the TPC algorithm, using the WIPO-alpha collection, indicate that our classification method can achieve 36.07% accuracy at the subgroup level. This is approximately a 25,764-fold improvement over a random guess.     

公共技术平台分析、评价与规划的创新方法--产业链图谱技术关联性分析

公共技术平台规划是国家、地方和单位科研管理机构的一项重要工作。由于一直以来是以技术驱动为主,从而导致其对市场和企业的需求反应不够。本文阐述了一种新的规划方法,即产业链图谱技术关联性分析,并以实例进行阐述。