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To construction effective simulation meta-models for complex physical simulation system, the “curse of dimension” and the “uncertain and imprecise information” problems have to be addressed firstly. Although simulation meta-models based on neural networks can obtain well performance, the fuzzy inference mechanism of domain expert for practical application problems cannot be simulated. Thus, some prediction...
Accurate wind speed prediction is vital for improving the efficiency and reliability of wind power system operation. In this paper, a novel structure of forecasting method, the State Transition ANN model (T-ANN), is proposed for hourly wind speed forecasting. In the proposed method, the ‘state’ is determined to describe the characteristic of the wind speed time series. Mapping relationship between...
Bayesian optimization has been demonstrated as an effective methodology for the global optimization. However, it suffers from a computational bottleneck that the inference time grows cubically with the number of observations. In this paper, a Bayesian optimization based on the data-parallel approach is proposed to alleviate this problem. Firstly, an improved geometry motivated clustering algorithm...
In order to improve the accuracy and stability of industrial fault detection and diagnosis, this paper introduces the deep learning theory and proposes an improved Deep Belief Networks (DBNs). In the first, this paper introduces the “centering trick” in the pre-training process of network. This method is done by subtracting offset values from visible and hidden variables. Then, in the process of network...
Traffic retention is an important factor of intelligent transportation system, which can vividly reflect current state of the road. Accurate estimation of traffic retention can provide support for the dynamic allocation of the traffic signal, thus alleviating the problem of urban traffic congestion. The traditional method can only estimate the long-term or red light traffic retention according to...
Greenhouse climate is difficult to model as a complex nonlinear system. The solution to the problem of describing the relation between inputs and outputs is using T-S fuzzy modeling which could transform a nonlinear system into several linear systems. During the transition, c-means clustering is used to cluster the variable of inputs and outputs. The result of clustering determines the compose of...
Order-batching is a common practice in orderpicking» which can reduce the total picking time if the orders have many relevant in Multi-Shuttle Warehouse System. In this paper, the performance of different order-batching methods that are made up of one seed-order selection rule and one accompanying-order selection rule is investigated. A seed-order selection rule selects the first order (i.e. the seed...
In order to accurately simulate vehicles' running states of lane changing and more effectively reflect its characteristics, based on the driving experience, this paper introduced three changing rules and their corresponding lane changing benefits and safety factors, and summarized the lateral and longitudinal motion of vehicles as the interaction result between lane changing benefits and safety factors...
The biological signals collected by the multi-electrode array are contaminated by heavy noise signals. How to quickly classify the original action potential from the measured noisy signals accurately is the basis of researches in the field of neuroscience. In this paper, we analyze the characteristics and shortcomings of Wave-clus sorting algorithm, and present a novel sorting algorithm to solve the...
In the inter-regional grid environment, the coordination of the relay setting and the grid run-time operating mode has an important significance to grid security, relay protection settings verification has also been a lot of attention. This paper studies relay protection setting on-line verification system based on distributed data exchange platform in the inter-regional grid environment, introduces...
In order to guarantee the geodesic distance of any two adjacent hair insertion points as equal as possible, a method of constructing offset curves on mesh surface of head model is proposed. The curve on the mesh surface is represented by geodesic B-spline, the concept of classical B-spline is extended to mesh surface, and a generation algorithm of geodesic B-spline curves with explicit mathematical...
According to the noise and overlapping characteristics of agricultural irrigation water quality monitoring data for the comprehensive evaluation may bring about the boundary fuzzy problem. This paper proposes an improved Genetic Algorithm (GA) to avoid premature convergence, the global optimal solution of the function of the Projection Pursuit (PP) function is used as the comprehensive evaluation...
As solid oxide fuel cell (SOFC) systems fueled with natural gas and biogas are applied widely, the capture and utilization of CO2 in SOFC exhaust gas are important issues. This paper proposes a new SOFC system combined with a solid oxide electrolysis cell (SOEC) stack, which absorbs renewable electrical power such as solar power and wind power to convert CO2 in SOFC exhaust gas into fuel by electrolysis...
The aim of this work is to explore the relationship between the chemical constituents of Yinhuang Granules (YHG) and in vitro antibacterial activity of serum. In this article, 100 batches of YHG samples were collected, and the fingerprints of chemical constituents and antibacterial activity values were determined. Furthermore, a model that characterizes the relationship between the fingerprints and...
Event-driven controller is designed in this paper on the context of networked communication links. For reducing the network burden, an event generator is employed to reduce the transmitted data in network. Meanwhile, data losses on both sides of the controller are taken into account and captured by random distributions. Considering the time-varying network environment, the probability of the random...
In this paper, we consider an optimal parameter and state estimation problem arising in an one-dimensional (1D) magnetohydrodynamic (MHD) flow system, whose dynamics can be modeled by a coupled partial differential equations (PDEs). In this model, the coefficients of the Reynolds number and initial conditions as well as state variables are supposed to be unknown and need to be estimated. An adjoint-based...
Traditional textual programming languages are poorly readable and difficult to learn, creating significant hurdles for practitioners of industry (such as electromechanical engineers). However, Graphical Programming Language (GPL), using graphical symbols to construct programs, is becoming increasingly popular as it is intuitive and easy to learn. They have been implemented in many specific areas (such...
State-of-charge (SOC) estimation methods based on battery model rely heavily on the accuracy of model parameters. And these parameters could vary with environment and the types of batteries. Online battery modeling methods can improve the robustness of SOC estimation algorithms through updating model constantly with real-time data. These methods have far more profound significance on algorithm adaptability...
For the deficiency of the incidence model, the incidence model based on the included angle of vectors is presented and is extended to the panel data. In order to describe the incidence between the sequences, which is projected to n-dimensional vector. The included angle of vectors reacts the difference of the sequences in similarity. The incidence model based on the included angle of vectors is defined,...
The Big data analytics gives new chances to the enterprises to enhance their management and manufacturing levels. A solution with case study is proposed to accomplish deep-level quality management based on big data analytics. First, the implementation of big data analytics based on industrial process data is illustrated with case study illustration. Through the analysis and feature extraction of off-line...
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