Yayın tarihi için ElektrikElektronik Mühendisliği / Electrical  Electronics Engineering listeleme
Toplam kayıt 280, listelenen: 120

VLSI implementation of GRBF (Gaussian Radial Basis Function) networks
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Yayıncı ve Tarih:(IEEE, 2000)A GRBF network is designed for VLSI implementation. Building blocks of the network consist mainly of analog circuits: opamp multiplier multiplying DAC (digital to analog converter) floating resistor summer and exponentiator. Parameters of the network (center width of the Gaussian function and output layer weights) are represented digitally for convenient interfacing. It is shown that individual GRBF units allow independent tuning of center width and amplitude. Several network structures are ...

Parameter quantization effects in Gaussian potential function neural networks
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Yayıncı ve Tarih:(World Scientific and Engineering Academy and Society, 2001)In hardware implementations of Gaussian Potential Function Neural Networks (GPFNN) deviation from ideal network parameters is inevitable because of the techniques used for parameter storage and implementation of the functions electronically resulting in loss of accuracy. This loss in accuracy can be represented by quantization of the network parameters. In order to predict this effect theoretical approaches are proposed. Oneinput oneoutput GPFNN with one hidden layer have been trained as function ...

Faulttolerant training of neural networks in the presence of MOS transistor mismatches
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Yayıncı ve Tarih:(IEEEINST Electrical Electronics Engineers Inc, 2001)Analog techniques are desirable for hardware implementation of neural networks due to their numerous advantages such as small size low power and high speed. However these advantages are often offset by the difficulty in the training of analog neural network circuitry. In particular training of the circuitry by software based on hardware models is impaired by statistical variations in the integrated circuit production process resulting in performance degradation. In this paper a new paradigm of ...

Edge detection using steerable filters and CNN
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Yayıncı ve Tarih:(European Signal Processing Conference EUSIPCO, 2002)This paper proposes a new approach for edge detection using steerable filters and cellular neural networks (CNNs) where the former yields the local direction of dominant orientation and the latter provides iterative filtering. For this purpose steerable filter coefficients are used in CNN as a B template. The results are compared to the results where only CNN or steerable filters are used. As a result of this study the performance of the system can be improved since iterative filtering property ...

A broadband microwave amplifier design by means of immittance based data modelling tool
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Yayıncı ve Tarih:(IEEE, 2002)In this paper a practical broadband microwave amplifier design algorithm is introduced utilizing the immittance datamodelling tool. In the course of design first the optimum input and output terminations for the active device are produced employing the real frequency technique. Then these terminations are modelled utilizing the new immittancemodelling tool to synthesize the frontend and backend matching networks. An example is included to exhibit the implementation of the proposed design ...

Sliding mode controller solution for the shallow submerged operation ok a submarine
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Yayıncı ve Tarih:(IFAC Secretariat, 2003)In this paper a submarine controller is presented which can accommodate the sea wave effects on a submarine a(shallow water operation. Sliding mode method is implemented in a way that the robustness of the controller increased with respect to disturbance distribution vector in order to perform the depth control of a shallow submerged submarine under sea wave disturbances. Designed controller kept the submarine performance within acceptable limits. Copyright © 2003 IFAC.

Selective liquidliquid extraction of mercuric ions by octyl methane sulfonamide
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Yayıncı ve Tarih:(MARCEL DEKKER INC, 2003)Noctyl methane sulfonamide (OMSA) has been demonstrated to be a very efficient reagent for selective extraction of Hg(II) ions from aqueous solutions. The extraction bases on rapid reaction of OMSA with Hg(II) ions yielding mono and disulfonamido mercury compounds in ordinary conditions. Solubility of OMSA and its mercury compounds in 2ethyl hexanol provide a clearcut phase separation in the extraction. The solution of OMSA in 2ethyl hexanol (0.4 mol L1) is able to extract 82.2% of mercuricacetate ...

Pilotaided bayesian MMSE channel estimation for OFDM systems: Algorithm and performance analysis
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Yayıncı ve Tarih:(2004)This paper proposes a computationally efficient pilotaided minimum mean square error (MMSE) channel estimation algorithm for OFDM systems. The proposed approach employs a convenient representation of the discrete multipath fading channel based on the KarhunenLoeve (KL) orthogonal expansion and estimates uncorrelated series expansion coefficients. Moreover optimal rank reduction is achieved in the proposed approach by exploiting the optimal truncation property of the KL expansion resulting in a ...

An open software architecture of neural networks: Neurosoft
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Yayıncı ve Tarih:(2004)Software architecture of generic distributed neural networks and its relevant information model have been developed. Principles of online architecture building training controlling (managing) and topological optimization guidelines are provided and extensively discussed.

Pilotaided Bayesian MMSE channel estimation for OFDM systems: Algorithm and performance analysis
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Yayıncı ve Tarih:(IEEE, 2004)This paper proposes a computationally efficient pilotaided minimum mean square error (MMSE) channel estimation algorithm for OFDM systems. The proposed approach employs a convenient representation of the discrete multipath fading channel based on the KarhunenLoeve (KL) orthogonal expansion and estimates uncorrelated series expansion coefficients. Moreover optimal rank reduction is achieved in the proposed approach by exploiting the optimal truncation property of the KL expansion resulting in a ...

A lowcomplexity KL expansionbased channel estimator for OFDM systems
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Yayıncı ve Tarih:(2005)This paper first proposes a computationally efficient pilotaided linear minimum mean square error (MMSE) batch channel estimation algorithm for OFDM systems in unknown wireless fading channels. The proposed approach employs a convenient representation of the discrete multipath fading channel based on the KarhunenLoeve (KL) orthogonal expansion and finds MMSE estimates of the uncorrelated KL series expansion coefficients. Based on such an expansion no matrix inversion is required in the proposed ...

Fault estimation of Trakya and Marmara Sea regions using 2D Gabor filtering [2 boyutlu gabor filtre yöntemi uygulayarak Trakya ve Marmara denizindeki fay hatlarının saptanması]
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Yayıncı ve Tarih:(2005)In this paper we have applied 2D Gabor filtering to gravity and magnetic anomalies in estimation of discontinuities. Gabor filtering is an effective separation method compared to others having steerable and frequency parameter properties. We have found new faults using Gabor filtering for gravity and magnetic anomalies of Marmara Sea. © 2005 IEEE.

Fault tolerant control with reconfiguring slidingmode schemes
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Yayıncı ve Tarih:(2005)In this paper a controller design method for linear MIMO systems is presented which a sliding mode controller is reconfigured in case of system faults. Faults are detected with the residual vector generated from a standard linear observer. Once a fault has been detected the fault distribution matrix can be obtained and used to update the corrective or equivalent control parts of the sliding mode controller. As a result fault tolerant adaptive controllers keep the system performance within acceptable ...

Signature verification using conic section function neural network
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Yayıncı ve Tarih:(2005)This paper presents a new approach for offline signature verification based on a hybrid neural network (Conic Section Function Neural NetworkCSFNN). Artificial Neural Networks (ANNs) have recently become a very important method for classification and verification problems. In this work CSFNN was proposed for the signature verification and compared with two well known neural network architectures (Multilayer PerceptronMLP and Radial Basis FunctionRBF Networks). The proposed system was trained ...

Signature verification using conic section function neural network
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Yayıncı ve Tarih:(SpringerVerlag Berlin, 2005)This paper presents a new approach for offline signature verification based on a hybrid neural network (Conic Section Function Neural NetworkCSFNN). Artificial Neural Networks (ANNs) have recently become a very important method for classification and verification problems. In this work CSFNN was proposed for the signature verification and compared with two well known neural network architectures (Multilayer PerceptronMLP and Radial Basis FunctionRBF Networks). The proposed system was trained ...

Support vector machines based target tracking techniques [Destek vektör makineleri tabanlı hedef takip yöntemleri]
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Yayıncı ve Tarih:(2006)This paper addresses the problem of aplying powerful statistical pattern classification algorithms based on kernels to target tracking. Rather than directly adapting a recognizer we develop a localizer directly using the regression form of the Support Vector Machines (SVM). The proposed approach considers using dynamic model together as feature vectors and makes the hyperplane and the support vectors follow the changes in these features. The performance of the tracker is demostrated in a sensor ...

UNIFAC application to water1propanolnamyl alcohol and namyl acetate ternaries
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Yayıncı ve Tarih:(2006)Liquidliquid equilibrium (LLE) data for water1propanolnamyl alcohol and water1propanolnamyl acetate ternaries were measured at T=298.2 K. The UNIFAC model was used to correlate the experimental data. A comparison of the extracting capabilities of the solvents was made with respect to distribution coefficients and separation factors.

Liquidliquid equilibria of water+propionic acid+solvent ternaries at 298.2 K
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Yayıncı ve Tarih:(2006)(Liquid + liquid) equilibrium (LLE) data for (water + propionic acid + solvent) were measured at T= 298.2 K and atmospheric pressure. The solvents were methyl isoamyl ketone (5methyl2hexanone) and diisobutyl ketone. The tieline data were predicted by the UNIFAC method. A comparison of the extracting capabilities of the solvents was made with respect to distribution coefficients separation factors and solvent free selectivity bases.

Support vector regression for surveillance purposes
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Yayıncı ve Tarih:(Springer Verlag, 2006)This paper addresses the problem of applying powerful statistical pattern classification algorithm based on kernel functions to target tracking on surveillance systems. Rather than directly adapting a recognizer we develop a localizer directly using the regression form of the Support Vector Machines (SVM). The proposed approach considers to use dynamic model together as feature vectors and makes the hyperplane and the support vectors follow the changes in these features. The performance of the ...

Near field parameter estimation of moving sources with recursive expectation maximization algorithm [Yinelemeli beklenti/en büyükleme algoritması ile hareketli kaynakların yakınalan parametrelerinin kestirimi]
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Yayıncı ve Tarih:(2006)In this paper maximum likelihood (ML) estimator is proposed for the joint estimation of the direction of arrival (DOA) and range parameters of moving sources in the nearfield of the antenna array. ML estimation algorithm is presented for deterministic signal model. Recursive form of the expectation maximization (REM) algoritm is suggested for the estimation of the nearfield parameters because there is not closed form solutions for the maximum likelihood functions. Moreover simulation results of ...