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To deal with the difficulties of large time-varying delay, seriously nonlinear and strong disturbance in the hot-dip galvanizing line (HDGL) control, this paper proposes a novel ANN based modelling and prediction method for the coating weight, the proposed method is then applied to a real plant at Valin LY Steel Co., Loudi, China. The prediction model is built through data pre-processing, data clustering...
An Agent Based Model (ABM) is a powerful tool for its ability to represent heterogeneous agents which through their interactions can reveal emergent phenomena. For this to occur though, the set of agents in an ABM has to accurately model a real world population to reflect its heterogeneity. But when studying human behavior in less well developed settings, the availability of the real population data...
Target tracking has been widely applied in the field of computer vision and extremely promising. It is also one of research hot difficulties. To its difficulties derived from information loss of three-dimensional world projecting on two-dimensional images, target appearance texture and the change of the geometry, the light changes, local or global screening etc. Incremental subspaces through online...
There has been a focus on the management of the complex engineering project. Firstly the organizational design elements that affect the decision making performance of a complex engineering project in the uncertain environment are analyzed. Then an agent-based model is proposed, in which the environmental uncertainty is represented with environmental complexity and turbulence. During modeling, a task...
Sensor plays an important role in context-aware computing. While sensor modeling is usually isolated from former researches on context modeling and sensor type is always restricted to physical ones, this paper aims to provide a more comprehensive insight into the relationships between sensor and context. Based on a more generic definition of sensor and a corresponding sensor category in context-aware...
In nonlinear model predictive control (NMPC), the system performance is greatly dependent upon the accuracy of the predictive model and the efficiency of the online optimization algorithm. In this paper, a novel NMPC scheme with the integration of Support Vector Machine (SVM) and recently proposed general-purpose heuristic “Extremal Optimization (EO)” is presented. With the superior features of self-organized...
Modeling for operation rules is essential function requirement in equipment simulation training system based on VR. Aiming at the modeling actuality of present equipment operation rules, which has no systematic, no generality and no formatting expression, layered modeling system framework based on federation is brought forward referencing to the "Federation and Member" concept of HLA. Open...
Cloud computing is a new trend for computing resource provision. Many public clouds are available for developers to transfer or build web applications on cloud. As a result, the computing resource scheduling and performance managing have been ones of the most important aspects of clouding computing. In this paper, we propose a queueing-based model for performance management on cloud. In this model,...
In this paper, we analyze the problems of existing Service Computing model and propose a closed-loop mechanism for service evaluating and discovering on the Internet which is not only compatible with the basic principles of Service Computing--loosely coupled, protocol independent and location transparent, but also can rank, classify and recommend services based on their real-time performance. This...
Plants simulation is one of the research domains which are full of challenges. Since the L-System and IFS both have limitations in the field of plant inflorescence simulation, the images of plant organs generated by using L-System or IFS are lack of enough real changes. The paper proposed a method that integrated iterated function system with L-System using Visual Basic 6.0 as development environment...
Plants simulation is one of the research domains which are full of challenges. Since the L-System and IFS both have limitations in the field of plant inflorescence simulation, the images of plant organs generated by using L-system or IFS are lack of enough real changes. The paper proposed a method that integrated iterated function system with L-system using Visual Basic 6.0 as development environment...
The composition of web-based services is a process that usually requires advanced programming skills and vast knowledge about specific technologies. How to carry out web service composition according to functional sufficiency and performance is widely studied. Non-functional characteristics like reliability and security play an important role in the selection of web services composition process. This...
Service consumer ranking are used by many existing computing models for reputation. Although a variety of methods are proposed, the subjectivity and scarcity of service consumer ranking can hardly be overcome. Moreover, service consumers cannot find service providers with high reputations as well as satisfying their QoS constraints. In order to solve these problems, we proposed an extensible computing...
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