**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**344

# Search results for: irradiance decomposition

##### 344 Comparison of Irradiance Decomposition and Energy Production Methods in a Solar Photovoltaic System

**Authors:**
Tisciane Perpetuo e Oliveira,
Dante Inga Narvaez,
Marcelo Gradella Villalva

**Abstract:**

Installations of solar photovoltaic systems have increased considerably in the last decade. Therefore, it has been noticed that monitoring of meteorological data (solar irradiance, air temperature, wind velocity, etc.) is important to predict the potential of a given geographical area in solar energy production. In this sense, the present work compares two computational tools that are capable of estimating the energy generation of a photovoltaic system through correlation analyzes of solar radiation data: PVsyst software and an algorithm based on the PVlib package implemented in MATLAB. In order to achieve the objective, it was necessary to obtain solar radiation data (measured and from a solarimetric database), analyze the decomposition of global solar irradiance in direct normal and horizontal diffuse components, as well as analyze the modeling of the devices of a photovoltaic system (solar modules and inverters) for energy production calculations. Simulated results were compared with experimental data in order to evaluate the performance of the studied methods. Errors in estimation of energy production were less than 30% for the MATLAB algorithm and less than 20% for the PVsyst software.

**Keywords:**
Energy production,
meteorological data,
irradiance decomposition,
solar photovoltaic system.

##### 343 Decomposition of Graphs into Induced Paths and Cycles

**Authors:**
I. Sahul Hamid,
Abraham V. M.

**Abstract:**

A decomposition of a graph G is a collection ψ of subgraphs H1,H2, . . . , Hr of G such that every edge of G belongs to exactly one Hi. If each Hi is either an induced path or an induced cycle in G, then ψ is called an induced path decomposition of G. The minimum cardinality of an induced path decomposition of G is called the induced path decomposition number of G and is denoted by πi(G). In this paper we initiate a study of this parameter.

**Keywords:**
Path decomposition,
Induced path decomposition,
Induced path decomposition number.

##### 342 Induced Acyclic Path Decomposition in Graphs

**Authors:**
Abraham V. M.,
I. Sahul Hamid

**Abstract:**

**Keywords:**
Cycle decomposition,
Induced acyclic path decomposition,
Induced acyclic path decomposition number.

##### 341 Dynamic Performance Analysis of Distribution/ Sub-Transmission Networks with High Penetration of PV Generation

**Authors:**
Cristian F.T. Montenegro,
Luís F. N. Lourenço,
Maurício B. C. Salles,
Renato M. Monaro

**Abstract:**

More PV systems have been connected to the electrical network each year. As the number of PV systems increases, some issues affecting grid operations have been identified. This paper studied the impacts related to changes in solar irradiance on a distribution/sub-transmission network, considering variations due to moving clouds and daily cycles. Using MATLAB/Simulink software, a solar farm of 30 MWp was built and then implemented to a test network. From simulations, it has been determined that irradiance changes can have a significant impact on the grid by causing voltage fluctuations outside the allowable thresholds. This work discussed some local control strategies and grid reinforcements to mitigate the negative effects of the irradiance changes on the grid.

**Keywords:**
Utility-scale PV systems,
reactive power control,
solar irradiance,
voltage fluctuation.

##### 340 Experimental Study on a Solar Heat Concentrating Steam Generator

**Authors:**
Qiangqiang Xu,
Xu Ji,
Jingyang Han,
Changchun Yang,
Ming Li

**Abstract:**

Replacing of complex solar concentrating unit, this paper designs a solar heat-concentrating medium-temperature steam-generating system. Solar radiation is collected by using a large solar collecting and heat concentrating plate and is converged to the metal evaporating pipe with high efficient heat transfer. In the meantime, the heat loss is reduced by employing a double-glazed cover and other heat insulating structures. Thus, a high temperature is reached in the metal evaporating pipe. The influences of the system's structure parameters on system performance are analyzed. The steam production rate and the steam production under different solar irradiance, solar collecting and heat concentrating plate area, solar collecting and heat concentrating plate temperature and heat loss are obtained. The results show that when solar irradiance is higher than 600 W/m^{2}, the effective heat collecting area is 7.6 m^{2} and the double-glazing cover is adopted, the system heat loss amount is lower than the solar irradiance value. The stable steam is produced in the metal evaporating pipe at 100 ℃, 110 ℃, and 120 ℃, respectively. When the average solar irradiance is about 896 W/m^{2}, and the steaming cumulative time is about 5 hours, the daily steam production of the system is about 6.174 kg. In a single day, the solar irradiance is larger at noon, thus the steam production rate is large at that time. Before 9:00 and after 16:00, the solar irradiance is smaller, and the steam production rate is almost 0.

**Keywords:**
Heat concentrating,
heat loss,
medium temperature,
solar steam production.

##### 339 Blind Channel Estimation Based on URV Decomposition Technique for Uplink of MC-CDMA

**Authors:**
Pradya Pornnimitkul,
Suwich Kunaruttanapruk,
Bamrung Tau Sieskul,
Somchai Jitapunkul

**Abstract:**

In this paper, we investigate a blind channel estimation method for Multi-carrier CDMA systems that use a subspace decomposition technique. This technique exploits the orthogonality property between the noise subspace and the received user codes to obtain channel of each user. In the past we used Singular Value Decomposition (SVD) technique but SVD have most computational complexity so in this paper use a new algorithm called URV Decomposition, which serve as an intermediary between the QR decomposition and SVD, replaced in SVD technique to track the noise space of the received data. Because of the URV decomposition has almost the same estimation performance as the SVD, but has less computational complexity.

**Keywords:**
Channel estimation,
MC-CDMA,
SVD,
URV.

##### 338 Generalized Morphological 3D Shape Decomposition Grayscale Interframe Interpolation Method

**Authors:**
Dragos Nicolae VIZIREANU

**Abstract:**

One of the main image representations in Mathematical Morphology is the 3D Shape Decomposition Representation, useful for Image Compression and Representation,and Pattern Recognition. The 3D Morphological Shape Decomposition representation can be generalized a number of times,to extend the scope of its algebraic characteristics as much as possible. With these generalizations, the Morphological Shape Decomposition 's role to serve as an efficient image decomposition tool is extended to grayscale images.This work follows the above line, and further develops it. Anew evolutionary branch is added to the 3D Morphological Shape Decomposition's development, by the introduction of a 3D Multi Structuring Element Morphological Shape Decomposition, which permits 3D Morphological Shape Decomposition of 3D binary images (grayscale images) into "multiparameter" families of elements. At the beginning, 3D Morphological Shape Decomposition representations are based only on "1 parameter" families of elements for image decomposition.This paper addresses the gray scale inter frame interpolation by means of mathematical morphology. The new interframe interpolation method is based on generalized morphological 3D Shape Decomposition. This article will present the theoretical background of the morphological interframe interpolation, deduce the new representation and show some application examples.Computer simulations could illustrate results.

**Keywords:**
3D shape decomposition representation,
mathematical morphology,
gray scale interframe interpolation

##### 337 N-Sun Decomposition of Complete Graphs and Complete Bipartite Graphs

**Authors:**
R. Anitha,
R. S. Lekshmi

**Abstract:**

**Keywords:**
Hamilton cycle,
n-sun decomposition,
perfectmatching,
spanning tree.

##### 336 Analysis of Catalytic Properties of Ni3Al Thin Foils for the Methanol and Hexane Decomposition

**Authors:**
M. Michalska-Domańska,
P. Jóźwik,
Z. Bojar

**Abstract:**

**Keywords:**
hexane decomposition,
methanol decomposition,
Ni3Al thin foils,
Ni nanoparticles

##### 335 Optimizing Approach for Sifting Process to Solve a Common Type of Empirical Mode Decomposition Mode Mixing

**Authors:**
Saad Al-Baddai,
Karema Al-Subari,
Elmar Lang,
Bernd Ludwig

**Abstract:**

**Keywords:**
Empirical mode decomposition,
mode mixing,
sifting
process,
over-sifting.

##### 334 N-Sun Decomposition of Complete, Complete Bipartite and Some Harary Graphs

**Authors:**
R. Anitha,
R. S. Lekshmi

**Abstract:**

**Keywords:**
Decomposition,
Hamilton cycle,
n-sun graph,
perfect matching,
spanning tree.

##### 333 New Subband Adaptive IIR Filter Based On Polyphase Decomposition

**Authors:**
Young-Seok Choi

**Abstract:**

We present a subband adaptive infinite-impulse response (IIR) filtering method, which is based on a polyphase decomposition of IIR filter. Motivated by the fact that the polyphase structure has benefits in terms of convergence rate and stability, we introduce the polyphase decomposition to subband IIR filtering, i.e., in each subband high order IIR filter is decomposed into polyphase IIR filters with lower order. Computer simulations demonstrate that the proposed method has improved convergence rate over conventional IIR filters.

**Keywords:**
Subband adaptive filter,
IIR filtering. Polyphase decomposition.

##### 332 A Novel Instantaneous Frequency Computation Approach for Empirical Mode Decomposition

**Authors:**
Liming Zhang

**Abstract:**

**Keywords:**
Instantaneous frequency,
empirical mode decomposition,
intrinsic mode function.

##### 331 Adaptive Fourier Decomposition Based Signal Instantaneous Frequency Computation Approach

**Authors:**
Liming Zhang

**Abstract:**

**Keywords:**
Adaptive Fourier decomposition,
Fourier series,
signal processing,
instantaneous frequency

##### 330 Blind Identification and Equalization of CDMA Signals Using the Levenvberg-Marquardt Algorithm

**Authors:**
Mohammed Boutalline,
Imad Badi,
Belaid Bouikhalene,
Said Safi

**Abstract:**

In this paper we describe the Levenvberg-Marquardt (LM) algorithm for identification and equalization of CDMA signals received by an antenna array in communication channels. The synthesis explains the digital separation and equalization of signals after propagation through multipath generating intersymbol interference (ISI). Exploiting discrete data transmitted and three diversities induced at the reception, the problem can be composed by the Block Component Decomposition (BCD) of a tensor of order 3 which is a new tensor decomposition generalizing the PARAFAC decomposition. We optimize the BCD decomposition by Levenvberg-Marquardt method gives encouraging results compared to classical alternating least squares algorithm (ALS). In the equalization part, we use the Minimum Mean Square Error (MMSE) to perform the presented method. The simulation results using the LM algorithm are important.

**Keywords:**
Identification and equalization,
communication
channel,
Levenvberg-Marquardt,
tensor decomposition

##### 329 A Reconfigurable Processing Element for Cholesky Decomposition and Matrix Inversion

**Authors:**
Aki Happonen,
Adrian Burian,
Erwin Hemming

**Abstract:**

**Keywords:**
Cholesky Decomposition,
Fixed-point,
Matrix
inversion,
Reconfigurable processing.

##### 328 A Decomposition Method for the Bipartite Separability of Bell Diagonal States

**Authors:**
Wei-Chih Su,
Kuan-Peng Chen,
Ming-Chung Tsai,
Zheng-Yao Su

**Abstract:**

**Keywords:**
decomposition,
bipartite separability,
Bell diagonal states.

##### 327 Algebraic Riccati Matrix Equation for Eigen- Decomposition of Special Structured Matrices; Applications in Structural Mechanics

**Authors:**
Mahdi Nouri

**Abstract:**

In this paper Algebraic Riccati matrix equation is used for Eigen-decomposition of special structured matrices. This is achieved by similarity transformation and then using algebraic riccati matrix equation to triangulation of matrices. The process is decomposition of matrices into small and specially structured submatrices with low dimensions for fast and easy finding of Eigenpairs. Numerical and structural examples included showing the efficiency of present method.

**Keywords:**
Riccati,
matrix equation,
eigenvalue problem,
symmetric,
bisymmetric,
persymmetric,
decomposition,
canonical
forms,
Graphs theory,
adjacency and Laplacian matrices.

##### 326 Laplace Adomian Decomposition Method Applied to a Two-Dimensional Viscous Flow with Shrinking Sheet

**Authors:**
M. A. Koroma,
S. Widatalla,
A. F. Kamara,
C. Zhang

**Abstract:**

**Keywords:**
Adomian polynomials,
Laplace Adomian
decomposition method,
Padé Approximant,
Shrinking sheet.

##### 325 ECG Analysis using Nature Inspired Algorithm

**Authors:**
A.Sankara Subramanian,
G.Gurusamy,
G.Selvakumar,
P.Gnanasekar,
A.Nagappan

**Abstract:**

**Keywords:**
Daubechies 4 Wavelet,
ECG,
Nature inspired
algorithm,
Ventricular Arrhythmias,
Wavelet Decomposition.

##### 324 A Reconfigurable Processing Element Implementation for Matrix Inversion Using Cholesky Decomposition

**Authors:**
Aki Happonen,
Adrian Burian,
Erwin Hemming

**Abstract:**

**Keywords:**
Cholesky Decomposition,
Fixed-point,
Matrixinversion,
Reconfigurable processing.

##### 323 Linear Elasticity Problems Solved by Using the Fictitious Domain Method and Total - FETI Domain Decomposition

**Authors:**
Lukas Mocek,
Alexandros Markopoulos

**Abstract:**

The main goal of this paper is to show a possibility, how to solve numerically elliptic boundary value problems arising in 2D linear elasticity by using the fictitious domain method (FDM) and the Total-FETI domain decomposition method. We briefly mention the theoretical background of these methods and demonstrate their performance on a benchmark.

**Keywords:**
Linear elasticity,
fictitious domain method,
Total-FETI,
domain decomposition,
saddle-point system.

##### 322 Application of Tocopherol as Antioxidant to Reduce Decomposition Process on Palm Oil Biodiesel

**Authors:**
Supriyono,
Sumardiyono,
Rendy J. Pramono

**Abstract:**

**Keywords:**
Antioxidant,
biodiesel,
decomposition,
oxidation,
tocopherol.

##### 321 Application of Tocopherol as Antioxidant to Reduce Decomposition Process on Palm Oil Biodiesel

**Authors:**
Supriyono,
Sumardiyono,
Rendy J. Pramono

**Abstract:**

**Keywords:**
Antioxidant,
biodiesel,
decomposition,
oxidation,
tocopherol.

##### 320 Numerical Solution of Volterra Integro-differential Equations of Fractional Order by Laplace Decomposition Method

**Authors:**
Changqing Yang,
Jianhua Hou

**Abstract:**

In this paper the Laplace Decomposition method is developed to solve linear and nonlinear fractional integro- differential equations of Volterra type.The fractional derivative is described in the Caputo sense.The Laplace decomposition method is found to be fast and accurate.Illustrative examples are included to demonstrate the validity and applicability of presented technique and comparasion is made with exacting results.

**Keywords:**
Integro-differential equations,
Laplace transform,
fractional derivative,
adomian polynomials,
pade appoximants.

##### 319 Empirical Mode Decomposition Based Multiscale Analysis of Physiological Signal

**Authors:**
Young-Seok Choi

**Abstract:**

**Keywords:**
EEG,
subscale entropy,
Empirical mode
decomposition,
Intrinsic mode function.

##### 318 Catalytic Decomposition of Potassium Monopersulfate. Influence of Variables

**Authors:**
Javier Rivas,
Olga Gimeno,
Maria Carbajo,
Teresa Borralho

**Abstract:**

**Keywords:**
Monopersulfate,
Oxone®,
Sulfate radicals,
Watertreatment.

##### 317 Discrete Wavelet Transform Decomposition Level Determination Exploiting Sparseness Measurement

**Authors:**
Lei Lei,
Chao Wang,
Xin Liu

**Abstract:**

Discrete wavelet transform (DWT) has been widely adopted in biomedical signal processing for denoising, compression and so on. Choosing a suitable decomposition level (DL) in DWT is of paramount importance to its performance. In this paper, we propose to exploit sparseness of the transformed signals to determine the appropriate DL. Simulation results have shown that the sparseness of transformed signals after DWT increases with the increasing DLs. Additional Monte-Carlo simulation results have verified the effectiveness of sparseness measure in determining the DL.

**Keywords:**
Sparseness,
DWT,
decomposition level,
ECG.

##### 316 A New Time-Frequency Speech Analysis Approach Based On Adaptive Fourier Decomposition

**Authors:**
Liming Zhang

**Abstract:**

In this paper, a new adaptive Fourier decomposition (AFD) based time-frequency speech analysis approach is proposed. Given the fact that the fundamental frequency of speech signals often undergo fluctuation, the classical short-time Fourier transform (STFT) based spectrogram analysis suffers from the difficulty of window size selection. AFD is a newly developed signal decomposition theory. It is designed to deal with time-varying non-stationary signals. Its outstanding characteristic is to provide instantaneous frequency for each decomposed component, so the time-frequency analysis becomes easier. Experiments are conducted based on the sample sentence in TIMIT Acoustic-Phonetic Continuous Speech Corpus. The results show that the AFD based time-frequency distribution outperforms the STFT based one.

**Keywords:**
Adaptive fourier decomposition,
instantaneous
frequency,
speech analysis,
time-frequency distribution.

##### 315 Compensation–Based Current Decomposition

**Authors:**
Mihaela Popescu,
Alexandru Bitoleanu,
Mircea Dobriceanu

**Abstract:**

**Keywords:**
Active current,
Active filtering,
p–q theory,
Reactive
current.