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2008 International Seminar on Future Information Technology and Management Engineering最新文献

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The Implication and Structure of Innovation Culture in Chinese Scientific Organization 中国科技组织创新文化的内涵与结构
Bin Wang, K. Shi, X. Ren
Using literature search, expert consulting, questionnaire, group focus, and qualitative analysis, this study explores the status of organizational innovation and innovation culture within the domestic as well as the global context. The study indicates that innovation culture has great implication in scientific organizations in terms of facilitating the process of organizational innovation. The study identifies several core factors of innovation culture in scientific organizations, namely, the organizational innovation value, the climate of organization innovation, the transformational leadership, and the innovative characters of researchers. An innovation assessing system and indexes of innovation culture for the Chinese Academy of Sciences have been established, which include 3 first level indexes such as the exterior environment of the organization in question, behavior norms, and value beliefs and 7 secondary level indexes including organizational logo, working conditions, rules effectiveness, leadership behavior, staff behavior, the value, and the organizational culture.
本研究采用文献资料法、专家咨询法、问卷调查法、群体焦点法和定性分析等方法,探讨了国内外组织创新和创新文化的现状。研究表明,创新文化在科学组织中具有促进组织创新进程的重要作用。研究确定了科学组织创新文化的几个核心因素,即组织创新价值、组织创新氛围、变革型领导和研究人员的创新特质。建立了中国科学院创新文化评价体系及指标,包括组织外部环境、行为规范、价值信念等3个一级指标和组织标志、工作条件、规则有效性、领导行为、员工行为、价值、组织文化等7个二级指标。
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引用次数: 0
Least Squares Support Vector Regression Based CARRX Model for Stock Index Volatility Forecasting 基于最小二乘支持向量回归的CARRX模型的股指波动率预测
Liyan Geng, Junhai Ma
CARRX model is a new volatility model. This paper applies least squares support vector regression to the CARRX model and a LSSVR-based CARRX model is established for predicting the range volatility of Chinese stock index. Out-of-sample forecasting results of using the LSSVR-CARRX model are compared with that of the ANN-CARRX model. Empirical results show that for the RMSE, MAE, MPE, Theil and Mincer-Zarnowitz regression test, the LSSVR-CARRX model outperforms the ANN-CARRX model both in static and dynamic forecasting. Therefore, LSSVR-CARRX model is expected to be important in developing the novel strategies for volatility trading and advanced risk management.
CARRX模型是一种新的波动率模型。本文将最小二乘支持向量回归应用到CARRX模型中,建立了基于lssvr的CARRX模型,用于预测中国股指的区间波动率。将LSSVR-CARRX模型与ANN-CARRX模型的样本外预测结果进行了比较。实证结果表明,对于RMSE、MAE、MPE、Theil和Mincer-Zarnowitz回归检验,LSSVR-CARRX模型在静态和动态预测方面都优于ANN-CARRX模型。因此,LSSVR-CARRX模型有望在开发波动率交易和高级风险管理的新策略方面发挥重要作用。
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引用次数: 0
Adaptive Selection of Classifier Ensemble Based on GMDH 基于GMDH的分类器集成自适应选择
Jin Xiao, Changzheng He
In multiple classifiers combination, how to choose an effective combination method is a very critical issue. This article introduces group method of data handing (GMDH) theory into multiple classifiers combination, and proposes a novel algorithm GAES for classifier ensemble selection. It is able to select an appropriate ensemble from the classifier pool adaptively, determine the combination weights among base classifiers, and complete the combination process automatically. We experimentally test GAES over 16 UCI data sets and 4 ELENA data sets. The results show that compared with the commonly used combination methods, GAES is statistically superior to Bayesian (Kittler et al., 1998), Linear (Benediktsson et al., 1997) and ESNN (Lipnickas and Korbicz, 2004) methods, and achieves a comparable classification rate than MAJ (Xu et al., 1992) and Genetic (Cho, 1999).
在多分类器组合中,如何选择一种有效的组合方法是一个非常关键的问题。将数据处理的分组方法(GMDH)理论引入到多分类器组合中,提出了一种新的分类器集成选择算法GAES。它能够自适应地从分类器池中选择合适的集成,确定基分类器之间的组合权值,并自动完成组合过程。我们在16个UCI数据集和4个ELENA数据集上对游戏进行了实验测试。结果表明,与常用的组合方法相比,GAES在统计上优于Bayesian (Kittler et al., 1998)、Linear (Benediktsson et al., 1997)和ESNN (Lipnickas and Korbicz, 2004)方法,并且与MAJ (Xu et al., 1992)和Genetic (Cho, 1999)的分类率相当。
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引用次数: 1
Research on Application of Compensative GM (1, N) Model in Technical Input Analysis: Evidence from Henan Province in China 补偿GM (1, N)模型在技术投入分析中的应用研究——以河南省为例
Wuwei Li, Yueru Wei, Yuhong Wang
Based on the statistics from 1998 to 2005 released by Henan Statistical Bureau in China, this paper applies the compensative GM (1, N) model to simulate the relationship between technical input and economic growth. In this paper, the parameters of the system are obtained via the principle of least square method. In the numerical experiment, the model simulates the GDP values of Henan province from 1998 to 2005. Research results show that the compensative GM (1, N) model has a high precision, and could provide valuable information to policy makers in their efforts to make efficient technical policies for promoting economic growth.
本文以河南省统计局1998 ~ 2005年的统计数据为基础,运用补偿GM (1, N)模型对技术投入与经济增长之间的关系进行了数值模拟。本文利用最小二乘法原理得到了系统的参数。在数值实验中,该模型模拟了河南省1998 ~ 2005年的GDP值。研究结果表明,补偿GM (1, N)模型具有较高的精度,可以为决策者制定有效的技术政策以促进经济增长提供有价值的信息。
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引用次数: 6
A Computer Simulation Model of Competing Products Diffusion on Small-World Network 小世界网络竞争产品扩散的计算机仿真模型
Na Wang, Xingzhe Wang, Qiming Sun, Ling Zhao
We investigate two competing products with network effects diffusion on heterogeneous Newman-Watts (HNW) network based on a computer simulation model. Consumerspsila behaviors in our model are determined not only by their individual preferences and purchasing resistances but also by their interactions with others. To analyze the determinant factors in products diffusion we divide network effects into two kinds - direct network effects and indirect network effects. The outcomes of simulations show that direct network effects act as a brake on the winner-take-all process, often lead to market sharing. Consumers in the market are cliquish and each faction adopts the same product when market sharing outcome occurs. Indirect network effects are great impetus on the winner-take-all process, but the winner-take-all process can be slowed for the heterogeneity of purchasing resistances among consumers.
基于计算机仿真模型,研究了两种具有网络效应的竞争产品在异质纽曼-瓦(HNW)网络中的扩散。在我们的模型中,消费者的行为不仅取决于他们的个人偏好和购买阻力,还取决于他们与他人的互动。为了分析产品扩散的决定因素,我们将网络效应分为直接网络效应和间接网络效应。模拟结果表明,直接网络效应对“赢者通吃”的过程起着抑制作用,往往导致市场共享。市场上的消费者是小集团的,当市场分享的结果出现时,每个派系都采用同一种产品。间接网络效应对赢家通吃的过程有很大的推动作用,但消费者购买阻力的异质性会减缓赢家通吃的过程。
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引用次数: 1
The Establishment of the Tax System under the E-commerce Environment 电子商务环境下税收制度的建立
Lu Yang, Xiaoling Li, Jian Liang
The appearance of e-commerce has changed the present business model. At the same time, it has challenged the tax system and the taxation mode in China nowadays. Focusing on the tax problems resulting from e-commerce, the paper starts from the characteristics of the network and e-commerce to establish the network business model that brings into the tax system the ISP and bank departments which are correlated with e-commerce trade. It also puts forward the feasibility of the BIT tax execution and significance of perfecting e-declaration tax system, providing evidence for the perfection of the tax system under e-commerce.
电子商务的出现改变了目前的商业模式。同时,它也对当今中国的税收制度和税收模式提出了挑战。本文针对电子商务带来的税收问题,从网络和电子商务的特点出发,建立了将与电子商务贸易相关的ISP和银行部门纳入税收体系的网络商业模式。提出了BIT税收执行的可行性和完善电子申报税收制度的意义,为电子商务下税收制度的完善提供依据。
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引用次数: 0
A Self-Adaptive Explicit Semantic Analysis Method for Computing Semantic Relatedness Using Wikipedia 基于维基百科的语义相关性计算的自适应显式语义分析方法
Weiping Wang, Pengbing Chen, Bowen Liu
In recent years, the explicit semantic analysis (ESA) method has got a good performance in computing semantic relatedness (SR). However, ESA method has failed to consider the given context of the word-pair, and generates the same semantic concepts for one word in different word-pairs. It canpsilat exactly determine the intended sense of an ambiguous word. In this paper, we propose an improved method for computing semantic relatedness. Our technique, the self-adaptive explicit semantic analysis (SAESA), is unique in that it generates corresponding concepts to express the intended meaning for the word, according to the different words being compared and the different context. Experimental results on WordSimilarity-353 benchmark dataset show that the proposed method are superior to those of existing methods, the correlation of computed result with human judgment has an improvement from r = 0.74 to 0.81.
近年来,显式语义分析(ESA)方法在计算语义相关度(SR)方面取得了不错的成绩。然而,ESA方法没有考虑到给定的词对语境,在不同的词对中对同一个词产生相同的语义概念。它可以准确地确定一个模棱两可的词的意思。本文提出了一种改进的语义相关度计算方法。我们的自适应显式语义分析(SAESA)技术的独特之处在于,它根据被比较的不同单词和不同的上下文,生成相应的概念来表达单词的预期意义。在WordSimilarity-353基准数据集上的实验结果表明,本文方法优于现有方法,计算结果与人类判断的相关性从r = 0.74提高到0.81。
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引用次数: 13
On the Existence of Greatest and Maximal Elements 论极大元与极大元的存在性
Haishu Lu
The main purpose of this paper is to deal with the existence of greatest and maximal elements of weak and strict preference relations and give necessary conditions for the existence of greatest and maximal elements of weak and strict preference relations in framework of general topological spaces without linear and convex structure. The well known KKM theorem is applied to proving the existence theorem of greatest and maximal elements of weak and strict preference relations under mild conditions.
本文的主要目的是在无线性和凸结构的一般拓扑空间框架下,研究弱偏好关系和严格偏好关系的最大元素和最大元素的存在性问题,并给出了弱偏好关系和严格偏好关系的最大元素和最大元素存在的必要条件。应用著名的KKM定理,证明了弱偏好关系和严格偏好关系在温和条件下最大元和极大元的存在性定理。
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引用次数: 0
Development and Application of Mobile Nursing Information System Based on PDAs 基于pda的移动护理信息系统的开发与应用
Qingfeng Wu, Han Liu, Huailin Dong
Combined with the technology of PDA and WLAN, and in view of limitations of wired networking in current hospital nursing workstations, this paper designs and implements a mobile nursing information system based on B/S taking PDA as its running platform. This system is a natural extension of the existing HIS, which takes patients as its center. And its application can optimize the work flow of clinical nursing, raise work efficiency of nursing personnel, promote service quality of medical treatment, improve hospital nursing management, and reduce medical accidents.
本文结合PDA和WLAN技术,针对目前医院护理工作站有线网络的局限性,以PDA为运行平台,设计并实现了一种基于B/S的移动护理信息系统。本系统是以患者为中心的现有HIS系统的自然延伸。它的应用可以优化临床护理工作流程,提高护理人员的工作效率,促进医疗服务质量,改善医院护理管理,减少医疗事故。
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引用次数: 4
The Research on the Innovation Strategy of Electric Vehicle Demonstration 电动汽车示范创新策略研究
Fu Xiang, Hu Binxiang, Wang Yuning
This paper analyzes the current situation of Chinapsilas electric vehicle demonstration. Taking Wuhan Electric Vehicle Demonstration as the research object, based on the SWOT analysis, the innovation strategy of Wuhan EV demonstration enterprise is discussed. This paper proposes the innovation strategy key in the following several aspects: combination of HEV mercerization and EV demonstration generalization; diversification of energy structures of demonstration vehicle; coordination and complete between demonstration and EV testing base; evaluation of the policy application and breakthrough; taking Wuhan as the centre, enlarge the demonstration areas; construction and improvement of infrastructure; development further of globalization communication and cooperation.
本文分析了中国电动汽车示范的现状。以武汉市电动汽车示范企业为研究对象,在SWOT分析的基础上,探讨了武汉市电动汽车示范企业的创新策略。本文提出了以下几个方面的创新战略重点:混合动力汽车聚合与示范推广相结合;示范车能源结构多样化;示范与电动汽车测试基地的协调与完成;政策应用与突破评价;以武汉为中心,扩大示范区;基础设施的建设和改善;进一步发展全球化交流与合作。
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引用次数: 2
期刊
2008 International Seminar on Future Information Technology and Management Engineering
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