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Search engines usually return relevant sorted results based on the keywords. Because of the lack of considering the user's current search interest and intention, this kind of strategy may not meet users' personalized search requirements. In order to retrieve results associated with the user's current search interest, existing researches integrate the user's interest information into the search process...
This paper presents a method for multivarible symbolic regression modeling and predicting. The method based on gene expression programming, a recently proposed evolutionary computation technique. We explain in details the techniques of gene expression programming and multivarible symbolic regression with gene expression programming. Furthermore, we give an example to explain this technique, and experiment...
In this paper, we present a statistical analysis of six traffic features based on entropy and distinct feature number at the packet level, and we find that, although these traffic features are unstable and show seasonal patterns like traffic volume for a long period, they are stable and consistent with Gaussian distribution in a short time period. However, this equilibrium property will be violated...
In order to reduce the practical decision system including continuous attributes, a reduction algorithm based on neighborhood granulation is proposed. In this algorithm, a rough set model is used based on neighborhood equivalence, the indiscernibility relation is measured by neighborhood relation, and the universe spaces is approximated by neighborhood information granules. We construct a features...
In this paper, the author proposed the concept of incomplete and fuzzy information systems based on incomplete approximation spaces and fuzzy sets, and analyzed the approximate class-precision and boundary in rough set systemically, via introducing the thought of inner & outer boundaries and inner & outer approximate definable sets combining rough set with fuzzy set, variable precision theory,...
Prognosis is a fundamental enabling technique for condition-based maintenance (CBM) systems and prognostics and health management (PHM) systems and therefore, plays a critical role in the successful deployment of these systems. The purpose of prognosis is to predict the remaining useful life of a system/subsystem or a component when a fault is detected. Although different prognostic algorithms have...
To select a suitable neighborhood size for manifold learning algorithms efficiently, a new method based on BIC (Bayesian Information Criterion) is used in this paper. Due to the locally Euclidean property of the manifold, the PCA (Principal Component Analysis) reconstruction errors of the neighborhoods without shortcut edges remain small; however, those of the neighborhoods with shortcut edges are...
In the SaaS application, users can order corresponding software services from the service provider according to their application needs and adjust their services content in use based on the changes of the enterprise development, with strong elasticity and expansibility. However, despite of so advanced concept of SaaS, there are still some problems in the SaaS field constraining the wider use of SaaS...
At present, network services have covered complex applications and value-added services, and service providers also need to consider service quality for customers' satisfaction. The equipment performance and faults directly affect the quality of service. Therefore, analyzing the relationship of service performance (the traffic distribution, transmission delay etc.), the network performance and faults...
NETCONF is a new standard network configuration protocol. For further research we have developed an open experimental platform for NETCONF protocol, BUPT-NEP (BUPT NETCONF Experimental Platform). Moreover, based on the experimental platform some significant technologies, such as data filtering, data storage and so on, are considered. This paper gives a detailed introduction of the tree data model...
NETCONF, a new network management protocol, was released in 2006 which has overcome the weaknesses of SNMP. In the NETCONF protocol, it proposed a new mechanism subtree filtering, which allows an application to select particular XML subtrees. With the Subtree Filtering, specifically information of XML can be filtered out as a XML subtree. However, since the Subtree Filtering depends on the parsing...
The paper focuses on implementation of association pattern between the network performances and the general network faults. We use network simulation tool, OPNET, to accomplish network simulations of different network faults and different situations based on VoIP. Network performance parameters such as end-to-end delay, jitter, traffic dropped, queuing delay, link throughout, link utilization are...
NETCONF is a new network management protocol, based on the XML encoding method, which was proposed by IETF in 2006. It aims to overcome the shortcomings of SNMP predominantly used for configuration tasks at present. In the NETCONF protocol, subtree filtering mechanism and XPath capability is defined, both used to allow a client to select particular XML subtrees of the data model of the server. In...
To solve the problem of process instances adaptation caused by dynamic process changes in workflow systems, a solution of workflow instance migration based on automatic planning mechanism was proposed, in which AI planning methods were used in migrating workflow system. The initial state and the target state of migrating instance were expressed with disjunction of an order prediction, the HTN method...
To meet the business and user requirements, it is crucial to manage the quality of service (QoS) of composite Web service. Due to the dynamics nature of the Web services, the runtime behavior of Web services is likely to differ from the initial estimated one. Therefore, a re-planning to adapt the composite service to the QoS violated services, ensuring the global constraints and preferences will be...
In 2006, the IETF released its latest effort, NETCONF, a brand new network management protocol, which is based on the XML encoding method. The NETCONF protocol is thought to be able to meet the requirement of configuration management which SNMP fails to do well. The NETCONF protocol also performs better in other fields such as the efficiency, more flexible operations, etc. But, as a new protocol,...
As SNMP management system has some weaknesses due to its built-in functional limitation, NETCONF, with XML as its data encoding scheme, is viewed as a promising solution for future network configuration management. To make NETCONF interoperable and capable of manipulating data in a standardized fashion, an extensible data modeling language, YANG, was proposed to model data including configuration...
This article utilizes near infrared reflectance spectroscopy (NIRS) technology to quantificationally analyze protein content of chocolate, using genetic support vector regression (GSVR) to build spectrum calibration model. GSVR first adopts genetic algorithm to select the efficiency wavelength regions, and then applies linear support vector regression (SVR) to establish a calibration model with the...
Customer profiling is becoming increasing important in modern retail industry. In this paper, we propose an approach which can either build customer profile from scratch or refine existing customer profiles. In our method, all the products in sale are attached with pre-defined labels. We build the customer profile according to the corresponding transactional data. The advantage of this approach can...
Given its importance, facility location has long attracted many research efforts from both the academic and industrial areas. However, due to the cost and privacy issues, researchers usually suffer from the lack of business information which is crucial for the decision makings. Recent years have witnessed the explosion of geographical information systems (GISs), and the spatial information provided...
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