The paper presents an analysis of the results of electric energy production in a wind farm. A statistical analysis of the measurement results were performed using the STATISTICA program. The article presents time seri...
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The paper presents an analysis of the results of electric energy production in a wind farm. A statistical analysis of the measurement results were performed using the STATISTICA program. The article presents time series on the forecast of electric energy production and actually sold electric energy produced in a wind farm. The analysis was based on data coming from a real wind farm - located in Subcarpathion region.
The emergence of artificial neural networks (ANNs) caused a great revolution in the knowledge area of pattern-classification and contributed to the fast development of intelligent systems. For an ANN to be effective, ...
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The emergence of artificial neural networks (ANNs) caused a great revolution in the knowledge area of pattern-classification and contributed to the fast development of intelligent systems. For an ANN to be effective, its topology parameters must be set up, such as learning rate, number of layers, and number of neurons. Therefore, optimization algorithms can be used to produce more efficient ANNs. In this paper, we propose a genetic algorithm (GA) to better estimate parameters of an ANN applied to the classification of the type, strength, and orientation of different hand movements from electromyography signals. Acquired data signals were first processed with the Wavelet Transform (WT) to extract the most important features. These features were presented to the optimized hybrid intelligent system (HIS) composed of ANNs and the optimization GA. Classification results are promising, presenting accuracy rates above 90% and reliability rate of 98%. These results support the use of HIS in practical applications such as smart prostheses and automatic medical evaluations.
Finding a document that is similar to a specified query document within a large document database is one of important issues in the Big Data era, as most data available is in the form of unstructured texts. Our testin...
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The present work is devoted to study the microstructure and magnetic behavior of Mn-rich Heusler MnNiIn alloys. The Mn-substituted alloys with Mn50Ni50-xInx (at.%) (x = 7.5 and 10) were prepared by melt-spinning techn...
The present work is devoted to study the microstructure and magnetic behavior of Mn-rich Heusler MnNiIn alloys. The Mn-substituted alloys with Mn50Ni50-xInx (at.%) (x = 7.5 and 10) were prepared by melt-spinning technique. Experimental results show that the alloys crystallized into a monoclinic martensite structure 14M type, for the Mn50Ni42.5In7.5 alloy and L21 type cubic austenite structure for the Mn50Ni40In10 alloy. The characteristic temperatures decreased with the increase of In content under different magnetic fields: 50 Oe, 500 Oe, 5 kOe and 30 kOe. For the Mn50Ni42.5In7.5 alloy, the presence of a paramagnetic-ferromagnetic transition is noted. This transition in the austenitic phase occurs before the martensitic transformation during cooling. On the other side, for the Mn50Ni40In10 alloy, there is the presence of a martensitic transformation followed by a ferromagnetic transition. This transformation is carried out between a paramagnetic cubic austenite type and a ferromagnetic monoclinic martensite. This allows us to conclude that Indium addit ion plays a role to change the structure and magnetic behavior in MnNiIn alloys.
In this paper, the authors present the results of experimental work regarding permanent Magnetic Assisted Ball Burnishing (MABB) tool. This type is a special tool using the magnetic field to produce the necessary forc...
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Big Data Analytics with Advanced Data Visualization of Medical information system qMS records is presented. The inpatients with Diabetes Mellitus type 1 were chosen for analysis. The various methods of analysis and vi...
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ISBN:
(纸本)9781538659342
Big Data Analytics with Advanced Data Visualization of Medical information system qMS records is presented. The inpatients with Diabetes Mellitus type 1 were chosen for analysis. The various methods of analysis and visualization were implemented: Gray reflected binary code (Java), Cluster analysis (iPython), Graph analysis (iPython, Gephi), 3D Visualization (Java), as well as supercomputer "Uran" was used. The connected pathogenetic Continuum of Diabetes Mellitus type 1 was built. The Continuum of Diabetes Mellitus type 1 progression allows assume that Parathyroid hormone-related protein (PTHrP) plays the critical role in multi-organ pathogenetic cascade in this disease, including the development of Lung cancer. Based on our study we suggest considering PTHrP in terms of pharmacological treatment. Big Data Analytics including Cluster and Graph Analysis of Medical information system's data flow can be used to study pathogenesis of the disease and for new drugs creation proposal.
In this paper, a robust technique based on discrete wavelet transform, edge detection, and morphology operation for scene text detection is proposed. There are several stages in the proposed method. In the first stage...
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In this work, an attempt has been made to join the AA6082-T651 and AA7075-T651 aluminium alloys by friction stir welding (FSW). The FSW is a solid-state joining process which primarily used on aluminium because the me...
In this work, an attempt has been made to join the AA6082-T651 and AA7075-T651 aluminium alloys by friction stir welding (FSW). The FSW is a solid-state joining process which primarily used on aluminium because the metal is not melted during the process so the base material can not soften. For the welding were using cylindrical pin tool, marble table to avoid the harmful heat conduction, two rotation rate of 500 and1000 rpm and different traverse speeds of 15, 20, 25 and 30 mm/min to weld butt joints. The aim of present study were to experimentally explore the dissimilar bounds. For evaluations, hardness testing were using to create hardness profiles across the joint in through thickness direction and optical microscope to classify the microstructures and crystallographic textures of base materials (BM). Based on the results obtained it can be stated that the FSW suitable for AA7075 and AA6082 welding by further optimization of the process parameters.
Due to of the bandwidth constraint, sensors may only be able to transmit a finite number of bits to save the energy, and the measurement data may have to be quantized before transmission especially in wireless sensor ...
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ISBN:
(纸本)9781538629024
Due to of the bandwidth constraint, sensors may only be able to transmit a finite number of bits to save the energy, and the measurement data may have to be quantized before transmission especially in wireless sensor networks (WSNs). This paper studies the problem of the general quantized innovation filtering with random packet dropouts for linear stochastic uncertain systems. The multiplicative uncertainty of system parameters is first converted into additive noises. Then under the Gaussian assumption on the predicted density, the Lloyd-Max quantizer, a general quantized innovation filter with random packet dropouts in the linear minimum mean square error (LMMSE) sense is derived based on the projection theory and Bayes Rule. Furthermore a sufficient condition is provided, under which a general quantized innovation filter with random packet dropouts can be reduced into a standard Kalman filter. An example is simulated to illustrate the effectiveness and correctness of the designed filter.
This computational study analyses the pulsatile flow of blood in a narrow artery with mild asymmetric stenosis, treating the blood flow as two-layered model with the suspension of all the erythrocytes in the core laye...
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This computational study analyses the pulsatile flow of blood in a narrow artery with mild asymmetric stenosis, treating the blood flow as two-layered model with the suspension of all the erythrocytes in the core layer region as Casson fluid and the cell dep.eted plasma in the peripheral layer region as Newtonian fluid. Finite difference method is employed to solve the resulting system of non-linear partial differential equations along with a set of initial and boundary conditions. Explicit finite difference scheme is derived for velocity profile, flow rate, wall shear stress and longitudinal impedance to flow. It is noted that skin friction and longitudinal impedance to flow increase with the increase of yield stress, Hartmann number and stenosis dep.h. The aforementioned fluid behaviour is reversed to the velocity profile and flow rate when these parameters increase. It is found that the longitudinal impedance to flow for the two-fluid Casson model is considerably lower than that of the single-fluid Casson model.
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