In the numerical simulation of earth-rock dam, accurate and reliable mechanical parameters dam material are important basis for deformation predictions safety evaluations. Based on monitoring data Luding core wall rockfill rheological materials inverted in this paper. Combined with actual filling impoundment process is carried out, stress differential settlement after completion analyzed. The results showed that based inversion were good agreement deformation. horizontal displacement,...

In the electricity system, supply and demand must be equal at all times. Wind power generation is fluctuating due to variation of wind. As more wind integrated into it very important predict production contribute system reserve reduction operational costs plants. This paper brings wavelet transform time series verifies that decomposed have chaotic characteristic, so a new method prediction in short-term with Artificial Neural Network (ANN) model based on presented. To test approach, data...

China is the largest coal producer and consuming country in world. Approximately half of China's comes from small-scale mines. The sustainability industry would be improved if a greater share come larger-scale This article presents case history Shuangliu Mine Shanxi Province discusses issues benefits transformation this mine. Significant gains were observed worker safety benefits, more efficient exploitation resource. Problems included loss employment opportunities for local labourers,...

This paper proposes a new combined prediction model for short-term wind speed prediction. The article uses Numerical Weather Prediction (NWP) and actual as input to the CNN_GRU model. normalization method is used solve problem of difference in magnitude between different data types. In order extract characteristics direction, temperature, air pressure, numerical weather forecast speed, continuous matrix constructed. processed set divided into training test set. First, are extracted using...

The development of wind generation has rapidly progressed over the last decade, but it must be integrated into power grids and electric utility systems. However, cannot dispatched like conventional generators because generated by changes continuous fluctuation speed direction. So is very important to predict generation. This paper discusses why can predicted in short-term, how setup construction an ANN (artificial neural network) prediction model based on chaotic time series. analysis...

As an efficient technique, microwave heating is applied for various thermal processes in recent years. Information of temperature field distribution important to security and stability the process heating. In this paper, we investigate a three-dimensional reconstruction algorithm using ultrasonic thermometry. Four models with different complex levels are used simulation experiments. The error analysis between reconstructed ones indicates that proposed possesses high precision.

Wind power is widely used to replace conventional plant and reduce carbon emission. However, the variability intermittency of wind makes output uncertain, which will bring great challenges electricity dispatch system reliability. So it very important predict generation. Two different signal decomposition methods are introduced into prediction generation in this paper. One wavelet transform (WT), another empirical mode (EMD). Both them good at decreasing non-stationary behavior signal. ANN...

Structural health monitoring system can provide valuable information for improving decision-making process in maintenance and management of bridges. However, managers usually lack understanding value structural information. This paper developed a computing model quantifying the based on Bayesian theory. Then, was demonstrated validated using simple case key factors (i.e., accuracy, reparation cost, prior probability failure, manager’s behavior pattern) influencing were identified discussed....

The basses of the intelligent measurement and control system used in underground stereo garage at downtown business district were investigated. Firstly, principal constituents for vehicle storage supervision systems explored, scheme involves warehousing guidance, access mode transmission system. Secondly, modules overrun detection parking place guidance successfully designed. Thirdly, three-dimensional information (i.e., length, width height) position was collected by employing semiconductor...

The accuracy of least squares support vector machine (LSSVM) for wind power prediction is greatly affected by its parameters. To solve the problem man-made choice parameter values, a model day-ahead based on fruit fly optimization algorithm (FOA) proposed in paper. For prediction, numerical weather (NWP) including speed, direction, temperature and atmospheric pressure has great influence power. LSSVM adopted to non-linear relationship study. FOA employed search optimal parameters LSSVM....

Objective: This work was aimed to study carbon footprint calculation method of printing enterprise.Method: Carbon methods and procedures were studied based on ISO 14064-1 standard the actual operations enterprises.Carbon a specific enterprise in 2015 obtained.Result: 25,879.35t,among which energy indirect emissions accounted for about 92%, fixed combustion 7.62%, mobile 0.39%.Conclusion: The main emission sources fuel emissions.Indirect from electricity generation more than 90% direct...

This paper proposes a nonparametric identification method based on Gaussian process regression (GPR) for completely unknown nonlinear distributed parameter systems (DPSs). Inspired by linear parameter-varying (LPV) modelling approach, an interpolated spatio-temporal Volterra model is developed to represent the DPSs in form, which local models are interpreted as processes. According empirical Bayesian we design third-order stable kernel structure used embedding prior knowledge and derive...

A new method for implementing the wide band bandpass filter utilizing low-temperature co-fired ceramic(LTCC) multilayered technology has been proposed. By using optimum semi-lumped highpass structure, an ultra-wideband(UWB) with operation frequency from 3.1 GHz to 11.5 is realized. The implemented exhibits a good response, low insertion loss, suppressed spurious passband, and especially very compact size simple structure. final of fabricated only 3.2mm×1.6mm×0.94mm.