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2012 Third Global Congress on Intelligent Systems最新文献

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A Fast Opposition-Based Differential Evolution with Cauchy Mutation 基于对立的柯西突变快速差分进化
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.91
Yong Wu, Bin Zhao, Jinglei Guo
Opposition-based Differential Evolution (ODE) has been proved to be an effective method to Differential Evolution (DE) in solving many optimization functions, and it's faster and more robust convergence than classical DE. In this paper, a fast ODE algorithm (FODE), using a local search method with Cauchy mutation is proposed. The simulation experiments are conducted on a comprehensive set of 10 complex benchmark functions. Compared with ODE, FODE is faster and more robust.
基于对立的差分进化算法(ODE)已被证明是差分进化算法求解许多优化函数的一种有效方法,它比经典的差分进化算法具有更快和更强的收敛性。本文提出了一种基于Cauchy突变的局部搜索方法的快速差分进化算法(FODE)。在10个复杂基准函数的综合集上进行了仿真实验。与ODE相比,FODE速度更快,鲁棒性更强。
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引用次数: 2
One-Class Support Vector Machine for Functional Data Novelty Detection 功能数据新颖性检测的一类支持向量机
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.19
Ma Yao, Huangang Wang
Novelty detection builds a model only with a large number of normal samples to detect unknown abnormalities. Based on the kernel theory and the optimization method, One-Class Support Vector Machine (OCSVM) can build a high-performance detection model with only a small part of training samples. As a result, OCSVM has become a very popular novelty detection method. However, with the increasing of the sensor precision and the data acquisition frequency in large-scale complex production processes, the collected data present high-dimension and more complex trend. Each data shows obviously functional nature (called functional data). Therefore, How to deal with these functional data and to dig out the production performance messages in them brings a new challenge to novelty detection. For this purpose, this paper proposes an OCSVM algorithm based on Functional Data Analysis (FDA), which is called Functional OCSVM. The experimental results show that Functional OCSVM can achieve better detecting results than original OCSVM by using the functional nature of data.
新颖性检测是用大量的正常样本建立一个模型来检测未知的异常。单类支持向量机(OCSVM)基于核理论和优化方法,只用一小部分训练样本就能建立高性能的检测模型。因此,OCSVM已成为一种非常流行的新颖性检测方法。然而,随着大规模复杂生产过程中传感器精度的提高和数据采集频率的提高,采集到的数据呈现出高维化、复杂化的趋势。每个数据都具有明显的功能性(称为功能性数据)。因此,如何对这些功能数据进行处理,并从中挖掘出产品性能信息,对新颖性检测提出了新的挑战。为此,本文提出了一种基于功能性数据分析(Functional Data Analysis, FDA)的OCSVM算法,称为功能性OCSVM。实验结果表明,利用数据的功能特性,功能OCSVM可以获得比原始OCSVM更好的检测效果。
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引用次数: 3
A Flexible RBAC Model Based on Trust in Open System 开放系统中基于信任的柔性RBAC模型
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.79
Wenyang Deng, Zhouyi Zhou
In open system, the user nodes and resource nodes are variable, it is tiresome for the system administrator to assign roles for the users, and it is almost impossible to check their priorities to access different kind of resources in the system in which the traditional Role Based Access Control (RBAC) model is adapted. To simplify the access control and standardize security strategy in open system, a flexible RBAC model based on trust is proposed. Use the evaluation between the user node and resource node to calculate the direct trust of them, and employ the evaluation among the resource nodes to get the recommended trust of the resource nodes. Using two trust values, together with the session history of user nodes and resource nodes, the system assigns the roles as well as its corresponding priorities for the user node flexibly, and recommends proper resource nodes to process their assignments. AIMD (Additive-increase, multiplicative-decrease) algorithm is adopted in the trust evaluation of the system to punish the node with malicious behaviors. Also, the notion of accuracy is introduced into the system to make the evaluation between the user and resource reasonable and objective.
在开放系统中,由于用户节点和资源节点是可变的,系统管理员为用户分配角色很麻烦,而且在采用传统的基于角色的访问控制(RBAC)模型的系统中,几乎不可能检查用户访问不同类型资源的优先级。为了简化开放系统中的访问控制和规范安全策略,提出了一种基于信任的柔性RBAC模型。利用用户节点与资源节点之间的评价计算用户节点与资源节点之间的直接信任度,利用资源节点之间的评价得到资源节点的推荐信任度。系统利用两个信任值,结合用户节点和资源节点的会话历史,灵活地为用户节点分配角色及其对应的优先级,并推荐合适的资源节点来处理用户节点的角色分配。在系统的信任评估中采用了AIMD (Additive-increase, multiply - reduction)算法对存在恶意行为的节点进行惩罚。同时,在系统中引入准确性的概念,使用户与资源之间的评价更加合理、客观。
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引用次数: 10
Dynamic Characteristic Analysis in Granularity of P-sets and Its Application on Face Recognition p集粒度的动态特性分析及其在人脸识别中的应用
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.32
Yan Shan, Chunying Zhang
In P-sets, attribute transfer causes element transfer, thus the information granulation of P-sets changes. From the aspect of granulation, this paper gives the information granulation of P-sets, analyzes the dynamic characteristic of information granulation, and makes its application in the image recognition, provides a new theory for image recognition.
在p集合中,属性转移引起元素转移,从而改变了p集合的信息粒化。从造粒方面,给出了p集的信息造粒,分析了信息造粒的动态特性,并将其应用于图像识别,为图像识别提供了一种新的理论。
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引用次数: 0
Research on Methods of Transformation of Petri Nets Systems into the Place/Transition Nets Petri网系统转化为地点/过渡网的方法研究
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.33
Wenjing Li, Wen Yang, Weizhi Liao, Shuang Li
With the aim of solving the problems of complex Petri nets system parallelization and simulation execution, several methods are proposed to transform senior Petri nets systems, such as color and predicate/transition etc. into the Place/Transition nets, so as to simulate them to run concurrently. In accordance with the characteristics and the internal relations between senior Petri nets of color and predicate/transition, and P/T nets systems, the structural model and algebraic model are studied, and the validity of the methods of transformation is verified through case-studying and programming. Experimental results show that the methods proposed is feasible and effective.
为了解决复杂Petri网系统并行化和仿真执行的问题,提出了几种将高级Petri网系统(如颜色、谓词/过渡等)转换为Place/ transition网的方法,以模拟其并行运行。根据颜色和谓词/转换高级Petri网与P/T网系统的特点和内在联系,研究了结构模型和代数模型,并通过实例研究和编程验证了转换方法的有效性。实验结果表明,所提出的方法是可行和有效的。
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引用次数: 2
Particle Swarm Optimization of Weighted Fuzzy Neural Network Model 加权模糊神经网络模型的粒子群优化
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.12
Ming Ma, Li-Biao Zhang
Particle Swarm Optimization has been applied in many optimization problems. In this paper, we proposed a new algorithm based on PSO and applied to optimal the weighted fuzzy neural network. It takes some measures to avoid the algorithm into a local convergence and determine the structure of the fuzzy neural network based on the effective rules. Satisfactory results through experiments are obtained.
粒子群算法在许多优化问题中得到了应用。本文提出了一种基于粒子群算法的模糊神经网络优化算法。采取一些措施避免算法陷入局部收敛,并根据有效规则确定模糊神经网络的结构。实验结果令人满意。
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引用次数: 1
The Balance Sheet Channel of Monetary Policy Transmission: Evidence from Chinese Listed Companies 货币政策传导的资产负债表渠道:来自中国上市公司的证据
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.54
Zhi-xin Liu, Xin Pang, Lingling Huang
Using balance sheet data for a panel of Chinese Listed firms, we try to find evidence of the balance sheet channel of monetary policy transmission. The results indicate that the quality of firms' balance sheet during the tighten period is worse than the quality during the loose period, and the effect of changes in monetary policy on the quality of firms' balance sheet is asymmetric over time. In periods of tight monetary conditions, M1 has significant positive correlation with the interest bear ratio, while the correlation is not significant during loose periods. The results also suggest that the balance sheet channel of monetary policy transmission is not subject to the nature of corporate, while have significant positive correlation with ownership concentration. Small firms bear most of the reductions, they suffer more from monetary tightening than big firms.
本文利用我国上市公司的资产负债表数据,试图寻找货币政策传导的资产负债表渠道的证据。研究结果表明,紧缩时期企业资产负债表质量较宽松时期差,货币政策变化对企业资产负债表质量的影响随时间的推移呈现不对称。在货币紧缩时期,M1与利息率显著正相关,而在宽松时期,相关性不显著。研究结果还表明,货币政策传导的资产负债表渠道不受公司性质的影响,而与股权集中度呈显著正相关。小公司承受了大部分的削减,他们比大公司更受货币紧缩的影响。
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引用次数: 2
Research on SMC Based Service 基于SMC的服务研究
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.51
Qi Wang, G. Zeng
Designs a conceptual model of service template based on SMCAVS (Soft Man Component dynamic Evolution System), which is called SMS (Soft Man Service). First, establish a hierarchical and scalable model, by defining the service body, service bindings, service ports, sub-services, and other elements. Second, the DTD specification document is given, which is used to describe the information of the SMS service template. And the storage and management methods are designed on this basis. At last, verify the design of the SMS conceptual model is correct and reliable, through the test of service componentization.
设计了一个基于软人组件动态演化系统(SMCAVS)的服务模板概念模型,称为软人服务(SMS)。首先,通过定义服务主体、服务绑定、服务端口、子服务和其他元素,建立一个分层和可伸缩的模型。其次,给出了用于描述SMS服务模板信息的DTD规范文档;并在此基础上设计了存储和管理方法。最后,通过服务组件化测试,验证了SMS概念模型设计的正确性和可靠性。
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引用次数: 0
GIS-Based Evaluating and Analysis for Farmland Fertility of Men-hai County 基于gis的门海县农田肥力评价与分析
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.30
Quanli Xu, Kun Yang, Jun-hua Yi, Li-yang Li
Through using the ArcGIS software as the platform, and taking DEM analysis, raster calculation and spatial interpolation of spatial analysis technology as the core method, this paper selects Menghai County as the study area, combines with the Delphi method, analytic hierarchy process, fuzzy membership function, farmland Integrated Fertility Index ( IFI ) and other methods, to establish major factors of influence and their weights for the farmland land productivity, as well as built a comprehensive evaluation system and it's spatial computing model. Meanwhile, the analysis such as spatial distribution, area statistics and farmland nutrient analysis for the evaluating results is also discussed in detail. The experimental results and analysis show that, 51575.73 hectares of cultivated land in Menghai County is divided into six grades, which percentages on the total farmland from grade one to grade six respectively are 14.12%, 27.4%, 20.17%, 17.23%, 12.70% and 8.38%, and the level over three grade of cultivated land occupies only less than 60%. As a result, it could be declared that the overall situation of cultivated land fertility is not good, which needs the government to adjust measures to local conditions to maintain the existing quality of cultivated land resources, as well as to enhance the farming ability of cultivated land from level of grade 3, especially grade 4 and 5 to higher level.
本文以ArcGIS软件为平台,以空间分析技术的DEM分析、栅格计算和空间插值为核心方法,选取勐海县为研究区,结合德尔菲法、层次分析法、模糊隶属函数、农田综合肥力指数(IFI)等方法,建立农田土地生产力的主要影响因素及其权重。并建立了综合评价体系及其空间计算模型。同时,对评价结果进行了空间分布、面积统计和农田养分分析等分析。实验结果与分析表明,勐海县51575.73公顷耕地被划分为6个等级,1 ~ 6级耕地占总耕地的比例分别为14.12%、27.4%、20.17%、17.23%、12.70%和8.38%,3级以上的耕地仅占不到60%。因此可以说,耕地肥力总体情况不佳,需要政府因地制宜调整措施,保持耕地资源的现有质量,并将耕地的耕作能力从3级,特别是4级和5级提升到更高的水平。
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引用次数: 0
N-SA K-anonymity Model: A Model Exclusive of Tuple Suppression Technique N-SA - k匿名模型:排除元组抑制技术的模型
Pub Date : 2012-11-06 DOI: 10.1109/GCIS.2012.77
N. Maheshwarkar, K. Pathak, V. Chourey
N-SA K-anonymity Model: A Model Exclusive of Tuple Suppression Technique is used to protect released data which contains multiple sensitive attributes. On the basis of K-anonymity model sensitive information cannot be distinguished from at least K-1 individuals whose information also appears in the release. N-SA K-anonymity model proposed to maintain the confidentiality of respondents. Tuple suppression causes data loss as well as disturbs the accuracy of sensitive information. Tuple suppression is applied on record when particular record not satisfying K factor. If multiple dissimilar records present in dataset increases the percentage of data distortion. N-SA K-anonymity model suggest adding extra records from population to satisfy not only K-anonymity also increase data availability as well as help to maintain the accuracy of multiple sensitive information. Records are added in such a way, they will not disturb accuracy of multiple sensitive information.
N-SA k -匿名模型:一种排除元组抑制技术的模型,用于保护包含多个敏感属性的发布数据。根据k -匿名模型,敏感信息不能与至少K-1个个体区分,这些个体的信息也出现在发布中。提出N-SA - k匿名模型,以保持被调查者的机密性。元组抑制不仅会导致数据丢失,还会影响敏感信息的准确性。当特定记录不满足K因子时,对记录应用元组抑制。如果数据集中存在多个不同的记录,则会增加数据失真的百分比。N-SA k -匿名模型建议从人口中增加额外的记录,不仅满足k -匿名性,还可以提高数据的可用性,并有助于保持多个敏感信息的准确性。以这种方式添加记录,不会干扰多个敏感信息的准确性。
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引用次数: 5
期刊
2012 Third Global Congress on Intelligent Systems
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