IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING

A Stego-analysis Techniques by SOD Using Statistical Measurements Based on FPGA

Elaf Sabah Abbas; Dhamyaa H. Mohammed; Thamir Rashed Saeed; Sabah A. Gitaffa

Volume 15, Issue 1 , April 2015, , Page 72-79

Abstract

  Abstract – Steganalysis is the technique of analyzing a stego-image to determine whether it has embedded data or not. More deliberately steganalysis, it can be achieved by coding a program that examines the stego-image structure and measures its statistical properties. This paper presents a novel steganalysis ...  Read More ... Abstract – Steganalysis is the technique of analyzing a stego-image to determine whether it has embedded data or not. More deliberately steganalysis, it can be achieved by coding a program that examines the stego-image structure and measures its statistical properties. This paper presents a novel steganalysis algorithm by detecting the sequence occurrence distribution (SOD) of cover/setgo-image using three types of statistical randomness properties tests: Frequency, Serial and Poker. Where hidden a 2.4Х10-7% distortion of covering image in multiple-LSB (MLSB), the difference achieved detection between cover-stage images as; frequency is 0.91362828; serial is 3.45887 and poker is 160.6455. Also, this proposed algorithm can point to the occurrences of the sequence which is affected by the embedded message, then implemented it by using 8-bit pair code and made by Xilinx-spartan-3A XC3S700AFPGA, with 50 MHz internal clock.

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Design of Kalman Filter for Augmenting GPS to Ins Systems .

Dr.Mohammed Z. Al-Faiz; Dr.Salam A. Ismaeel

Volume 6, Issue 3 , December 2006, , Page 73-79

Abstract

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COLOR IMAGE IDENTIFICATION BASED ON 2-D POWER SPECTRUM BASED ON NEURAL NETWORK

M.Sc. Hassan J. Hassan

Volume 7, Issue 1 , June 2007, , Page 74-86

Abstract

  Abstract: Image identification plays a great role in industrial, remote sensing, and military applications. It is concerned with the generation of a signature to the image. This work proposes a dynamic program (use Neural Network) to identify the color image depending on the distribution of the monochrome ...  Read More ... Abstract: Image identification plays a great role in industrial, remote sensing, and military applications. It is concerned with the generation of a signature to the image. This work proposes a dynamic program (use Neural Network) to identify the color image depending on the distribution of the monochrome colors (red, green, and blue) in the same image to make image signature accordingly, which is represented by a values named power spectrum. The first step is to analyze the three-band monochrome image (color image) to Red, Green and Blue image, then deal with each image as a grey scale one which is represented as a 2-D matrix. The second step is to make Fourier Transform to each grey scale image in order to extract the implicit information in that image. The calculations of 2- D Power Spectrum for each image have been done to construct the final feature vector for each one. Finally, in the third step, and in order to handle problems of large input dimensions, a multilayer perceptron Neural Network has been used with two hidden layers. The input of the Neural Network structure is the final feature vectors which are obtained from the previous step. All programs are written using MATLAP VER. 6.5 programming language.

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Modeling and Design of a Suboptimal Controller for a Hydraulic System1

Dr. Eman S. Kareem; Prof. Dr. Rami A. Maher

Volume 11, Issue 1 , June 2011, , Page 74-85

Abstract

  Abstract: Practical hydraulic control systems are nonlinear, high-order and parameters sensitive systems. On the other hand, usually the customer demands are difficult to achieve without some type of tradeoffs among these demands. Therefore, the burden of designing an optimal controller will be so complicated, ...  Read More ... Abstract: Practical hydraulic control systems are nonlinear, high-order and parameters sensitive systems. On the other hand, usually the customer demands are difficult to achieve without some type of tradeoffs among these demands. Therefore, the burden of designing an optimal controller will be so complicated, and a suboptimal controller seems to be preferable. However, the validation of such design requires a detailed mathematical model of the hydraulic system and actual values of parameters. In this paper, a mathematical model of a hypothetical hydraulic system is derived first. Then, for the linearized model, a suboptimal controller is designed based on the LQR techniques. A Simulink model of the overall controlled system is utilized to simulate the closed-loop performance. The stable very fast response indicates the validity of the proposed procedure of design.

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An Error Concealment Algorithm Using Discrete Wavelet Transform

Atheer A. Sabri

Volume 5, Issue 1 , June 2005, , Page 75-87

Abstract

  Abstract: A new algorithm for error concealment of a completely lost blocks using the 1-D discrete wavelet transform is proposed in this paper. The transmission of block-coded images, fading in wireless channels can cause errors in entire blocks and consequently causes the loss of information of ...  Read More ... Abstract: A new algorithm for error concealment of a completely lost blocks using the 1-D discrete wavelet transform is proposed in this paper. The transmission of block-coded images, fading in wireless channels can cause errors in entire blocks and consequently causes the loss of information of the block. Instead of using common retransmission query protocols, the error block is substituted for pixel values of the neighborhood of the lost block. The proposed algorithm does not require a DC estimation method. While most of the previously error concealment methods assume that the DC value is available or DC estimation is required.

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Optimal Shunt Capacitor Placement in Power Distribution System using a Genetic Algorithm

Dr. Akram Fajer Bati; Dr. Nawfal M. Taher; omar hazem Mohammed

Volume 4, Issue 1 , December 2004, , Page 76-88

Abstract

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New Pseudo-Random Number Generator System Based on Jacobian Elliptic maps and Standard Map

Asst. Prof. Dr. Luma Fayeq Jalil; Prof.Dr. Hilal Hadi Saleh; Ekhlas Abass Albhrany

Volume 15, Issue 3 , December 2015, , Page 77-89

Abstract

  Abstract- Chaotic systems have numerous properties, for example: mixing property, sensitivity to initial conditions parameters, structural complexity and deterministic dynamics. These properties were investment in the last decade for cryptographic applications and developments of pseudorandom number/bit ...  Read More ... Abstract- Chaotic systems have numerous properties, for example: mixing property, sensitivity to initial conditions parameters, structural complexity and deterministic dynamics. These properties were investment in the last decade for cryptographic applications and developments of pseudorandom number/bit generator. The paper propose new pseudorandom number (bits) generator (PRNG) based on the Jacobian elliptic chaotic maps and standard map. The principle of the method consists in generating binary sequence from elliptic chaotic maps of cn and sn types. These sequence positions is permuted using standard map. The performance of the generator is studied through conventional statistical methods and also using the NIST test suite. The results show that the produced sequences possess high randomness statistical properties and good security level which make it suitable for cryptographic applications.

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Proposal of Creating Entity-Relationship Table from English Sentences Groups1

Maitham A. Naji

Volume 11, Issue 2 , December 2011, , Page 79-88

Abstract

  Abstract: The aim of this research is to provide a computerized technique to build Entity Relationship Table (ERT) instead of Entity Relationship Diagram(ERD). The ERT contains Source Node Type (SNT) and Destination Node Type (DNT) which are either Entity or Attribute. Also, it contains the source and ...  Read More ... Abstract: The aim of this research is to provide a computerized technique to build Entity Relationship Table (ERT) instead of Entity Relationship Diagram(ERD). The ERT contains Source Node Type (SNT) and Destination Node Type (DNT) which are either Entity or Attribute. Also, it contains the source and destination node and their relationship type; Source Node Relationship Type (SNRT) and Destination Node Relationship Type (DNRT).The verb presents the relationship name between nodes. The program in this research splits the relationship from the subject item then the relation will map to relationships dictionary to get real word presentation to the corresponding relationship words. The same process is repeated with the Complement group.

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Design and Implementation of Dual Database Server and Clients

Asia Ali Salman; Intisar Shaded Chleib; Khalid Tourky Atah

Volume 8, Issue 1 , December 2008, , Page 79-98

Abstract

  Abstract: The aim of this article is to find an efficient method to keep the database of critical tasks correct and update for performing the work of real time processing (such as power or water distributed environment), design and implement dual database server to control access to the database so ...  Read More ... Abstract: The aim of this article is to find an efficient method to keep the database of critical tasks correct and update for performing the work of real time processing (such as power or water distributed environment), design and implement dual database server to control access to the database so the client read from one of dual server and update, write to both of them, if one of them fail then the other one must be capable of control and access all the client to its database. When the other server return to work the worked server would be responsible for updating this server database. The result shows that, using duality system resolves those problem existing in single server system and eliminates the dependency on the clients in accessing the database ;the existence of a second active server gives continuity for the work and never stopped the clients.

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A Dynamic Economic Dispatch Solution Method using Hopfield Neural Network

B.Sc; Q.M.Alias; Ph.D; MSc; M.Sc; F. Benhamida; BSc

Volume 5, Issue 2 , December 2005, , Page 79-92

Abstract

  Abstract: This paper analyzes and tests a proposed neural network (NN) to solve the Dynamic Economic Dispatch (DED) as part of the unit commitment problem. The proposed NN is a fast and direct computation solver using a Hopfield model for solving the dynamic economic dispatch problem of thermal generators ...  Read More ... Abstract: This paper analyzes and tests a proposed neural network (NN) to solve the Dynamic Economic Dispatch (DED) as part of the unit commitment problem. The proposed NN is a fast and direct computation solver using a Hopfield model for solving the dynamic economic dispatch problem of thermal generators which is a dynamic optimization problem taking into account the constraints imposed on system operation by generator ramping rate limits. Formulations for solving the ED and DED problems are explored. Through the application of these formulations, direct computation instead of iterations for solving the problem becomes possible. Not like the usual Hopfield network, which select the weighting factors of the energy function by trials, the proposed network determines the corresponding factors by calculations and employs a linear input-output model for the neurons. The effectiveness of the developed neural network is identified through its application to the New England test system. Computational results manifest that the model has a lot of excellent performances.

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Modeling and Control of Proportional Directional Control Valve Using Neural Network .

Dr.Mohammed Y. Hassan; Dr.Majid A. Aliewe

Volume 6, Issue 3 , December 2006, , Page 80-89

Abstract

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Joint Hybrid Compression Techniques and Convolutional Coding for Wireless Lossy Image Transmissions

Salah Al-iesawi; Maha Abd Rajab; Ahmed I. A

Volume 15, Issue 1 , April 2015, , Page 80-99

Abstract

  Abstract – This paper demonstrates the effect of color image transmission through AWGN channel using binary phase shift key modulation (BPSK) system and transmission of compressed color image through AWGN. On the other hand, the transmission consumes a large amount of channel and needs the processing, ...  Read More ... Abstract – This paper demonstrates the effect of color image transmission through AWGN channel using binary phase shift key modulation (BPSK) system and transmission of compressed color image through AWGN. On the other hand, the transmission consumes a large amount of channel and needs the processing, therefore utilizes compression techniques to reduce the size of the original color image to facilitate the transmission compressed color image through AWGN and to obtain the channel optimization. In this paper, a simple hybrid lossy color image compression transmission through AWGN using convolutional coding with Viterbi decoding system is proposed. It is based on combining effective techniques, started by wavelet transform that decompose the image signal followed by polynomial approximation model of linear based to compress approximation image band. The error caused by applying polynomial approximation is coded using bit plane slice coding, whereas the absolute moment block truncation coding exploited to coded the detail sub bands. Then, the compressed information encoded using LZW, run length coding and Huffman coding techniques, the compressed information is entered to the channel coding to coded the information using convolutional coding and modulation using BPSK to transmit through channel and added AWGN, the received signal is demodulated and decoded using Viterbi decoding, the result compressed data passed to source decoding to reconstruct the compressed image. The test results indicated that the proposed system can produce a balance between the compression performance and preserving the image quality, and also simulations results observed that with increase in signal to noise ratio (SNR) values the bit error rate (BER) values decrease.

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Turbo-COFDM System over Multipath Rayligh Selective Fading Channel

Siddeeq Y. Ameen; il A.H. Hadi

Volume 6, Issue 2 , August 2006, , Page 81-91

Abstract

  Abstract: OFDM system operates at high speed data rate over selective fading channel. In this paper a Turbo Coded OFDM (COFDM) system was presented and simulated over Rayleigh selective fading mobile radio channel. The type of the turbo code used is a parallel concatenated convolutional code (PCCC). ...  Read More ... Abstract: OFDM system operates at high speed data rate over selective fading channel. In this paper a Turbo Coded OFDM (COFDM) system was presented and simulated over Rayleigh selective fading mobile radio channel. The type of the turbo code used is a parallel concatenated convolutional code (PCCC). The simulation results include a comparison between coded and uncoded OFDM system with different number of subcarrier. Furthermore, the number of iterations and input frame lengths effects on the performance were investigated. The result shows that the performance of OFDM system is enhanced when using turbo code in the OFDM system. Furthermore, the performance enhancement is increased as the number of iterations and input frame length is increased.

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Optimal Controller Design for Dynamic Systems with Perturbed Time-Varying Delay

Dr. Asmaa Q. Shareif; Dr. Abdulsalam H. Nafia

Volume 12, Issue 2 , December 2012, , Page 81-89

Abstract

  Abstract: In this paper, a controller design is proposed to control systems subjected to uncertainties and perturbed time-varying delay. The proposed controller strategy is composed of three parts, the linear state feedback part is used for assigning the closed loop eigenvalues, and the nonlinear switching ...  Read More ... Abstract: In this paper, a controller design is proposed to control systems subjected to uncertainties and perturbed time-varying delay. The proposed controller strategy is composed of three parts, the linear state feedback part is used for assigning the closed loop eigenvalues, and the nonlinear switching part of the sliding mode and the adaptive part are used to achieve the robustness of global stability. By using the stability theorem, the adaptive law is utilized for adapting the unknown bounds of the lumped perturbations so that the objective of asymptotical stability is achieved, and then to use the variable structure control method to enhance the robustness of stability of the controlled systems. Once the system goes inside of the sliding surface of the variable structure controller, the dynamics of the controlled systems are insensitive to effect of perturbations. The system and controller are simulated by using Matlab/Simulink. Finally, a real numerical example is given to demonstrate the feasibility of the proposed controller.

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ROBUSTNESS INVISIBLE WATERMARKING RIJNDAEL CODE AGAINST ATTACKING METHODS

Khalid F. Shubair; Saleh M. Al-Qaraawy; Imad H. Al-Hussaini

Volume 7, Issue 2 , December 2007, , Page 83-94

Abstract

  Abstract: Digital image watermarking has become a popular technique for authentication and copyright protection. For verifying the security and robustness of watermarking algorithms, specific attacks have to be applied to test them. This paper presents different attacks approaches which are based on ...  Read More ... Abstract: Digital image watermarking has become a popular technique for authentication and copyright protection. For verifying the security and robustness of watermarking algorithms, specific attacks have to be applied to test them. This paper presents different attacks approaches which are based on the estimation of the parameters used. The exploitation of the properties of Back propagation neural network gives good results for detection.

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Design of Fuzzy-Like Position Controller for Permanent Magnet Stepper Motor

Farazdaq R. Yasien; Zaid M. Khudher

Volume 16, Issue 1 , December 2016, , Page 84-91

Abstract

  Abstract –Permanent Magnet Stepper Motor (PMSM) is defined as a high nonlinear dynamics, MIMO electromechanical incremental actuator broadly applied as a position device. The closed loop control system is proposed to enhance the performance of PMSM from the load change, steady state error, and the ...  Read More ... Abstract –Permanent Magnet Stepper Motor (PMSM) is defined as a high nonlinear dynamics, MIMO electromechanical incremental actuator broadly applied as a position device. The closed loop control system is proposed to enhance the performance of PMSM from the load change, steady state error, and the parameters variation that appear in the open loop control. The proposed closed loop system is based on the Field Oriented Control (FOC). Fuzzy PID controller is proposed as an intelligent controller for the exact linearized system. The Feedback Linearization (FBL) technique is based on transforming the complex nonlinear model of PMSM into exact linearized model, unlike the Jacobian Linearization, which is based on linearizing the dynamics of the motor around operating point. The results of the proposed controller were compared with conventional PID on the exact linearized model and Fuzzy PID Controller on the nonlinear model of the PMSM. Robustness of the proposed controller was tested under parameters and load variation.

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Cantor Fractal Linear Antenna Array with Koch Fractal Elements

Eng. Mohannad Ahmad; Assist. Prof. RefatTalib Hussein; Ph.D

Volume 10, Issue 1 , December 2010, , Page 85-97

Abstract

  Abstract: Cantor fractal linear array, with ‘101’ generator from second stage of growth, is analyzed here with two types of current amplitude excitation coefficients (Dolph and Fractal). The Koch fractaldipole element with 2nd iteration and θ=60o will be used here as the array elements. Kaiser-Bessel ...  Read More ... Abstract: Cantor fractal linear array, with ‘101’ generator from second stage of growth, is analyzed here with two types of current amplitude excitation coefficients (Dolph and Fractal). The Koch fractaldipole element with 2nd iteration and θ=60o will be used here as the array elements. Kaiser-Bessel window will be used as the generating function, to calculate the fractal amplitude excitation coefficients. The benefit from using fractal antenna element in the design of fractal antenna array will be clearly deduced from the results. The radiation pattern and impedance were calculated by using software package MATLAB version 7.6 (R2008a) and software package 4NEC2 respectively.

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Enhancement of Proposed OFDM-CDMA System by Using DWT Over Selective Fading Channel.

Prof. Dr. Siddeeq Y. Ameen; il A. H. Hadi; Dr. Hayam A. Al-Yasri

Volume 6, Issue 1 , April 2006, , Page 85-102

Abstract

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HUMAN ARM SIMULATION BASED ON MATLAB WITH VIRTUAL ENVIROMENT

Assist. Lec. Abbas H.Miry; Prof. Dr. Abduladhem A. Ali; Prof. Dr .Mohammed Z. Al-Faiz; MIEEE

Volume 11, Issue 1 , June 2011, , Page 86-96

Abstract

  Abstract: This work presents a novel simulation methodology applied to a human arm. It is aimed to allow the robotic system to perform complex movement operations of human arm. The human arm is represented by using virtual reality (VR). The work includes mathematical modeling of the direct kinematics ...  Read More ... Abstract: This work presents a novel simulation methodology applied to a human arm. It is aimed to allow the robotic system to perform complex movement operations of human arm. The human arm is represented by using virtual reality (VR). The work includes mathematical modeling of the direct kinematics ,inverse kinematic and the dynamics of the human arm .The model permits direct forward dynamics simulation, which accurately predicts hand position, also presents a solution to the inverse problem of determining set of joints angle to achieve a given position or motion. The method is implemented in the 3D space and uses the Simulink/ MATLAB Ver.2009a approach. This methodology can be used with different robots to test the behavior and control laws.

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DESIGN OF ADAPTIVE FUZZY-NEURAL PID-LIKE CONTROLLER FOR NONLINEAR MIMO SYSTEMS

Mr. Qussay F. Ad; Doory; Dr. Mohammed Yousif Hassan

Volume 7, Issue 1 , June 2007, , Page 87-96

Abstract

  Abstract: A combination of fuzzy logic and neural network can generate a fuzzy neural controller which in association with a neural network emulator can improve the output response of the controlled system. This combination uses the neural network training ability to adjust the membership functions ...  Read More ... Abstract: A combination of fuzzy logic and neural network can generate a fuzzy neural controller which in association with a neural network emulator can improve the output response of the controlled system. This combination uses the neural network training ability to adjust the membership functions of a PID like fuzzy neural controller. Such controller can be used to adaptively control nonlinear MIMO systems. The goal of the controller is to force the controlled system to follow a reference model with required transient specifications of minimum overshoot, minimum rise time and minimum steady state error. The fuzzy membership functions were tuned using the propagated error between the plant outputs and the desired ones. To propagate the error from the plant outputs to the controller, a neural network is used as a channel to the error. This neural network uses the back propagation algorithm as a learning technique. The controller was tested using two inputs / two outputs nonlinear time invariant model. Different reference (set-point) inputs were applied to the closed loop system. Also, different values of loads and disturbances were applied to the closed loop system. Simulation results show that the controller achieves the design requirements.

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Detection of Code – Division Multiple Access Signals based on Neural Network

ad AL-Shaban; Dr. Sa

Volume 5, Issue 1 , June 2005, , Page 88-93

Abstract

  Abstract: Artificial Neural Networks are employed for demodulation of spread spectrum signals in a multiple – access environment. In fact, the conventional matched filter receiver, when used in multi-user system, suffers from the interfering signals, so that when reducing this problem, we need ...  Read More ... Abstract: Artificial Neural Networks are employed for demodulation of spread spectrum signals in a multiple – access environment. In fact, the conventional matched filter receiver, when used in multi-user system, suffers from the interfering signals, so that when reducing this problem, we need to make the receiver in optimum state. This receiver is too complex for practical use. Two simple structures employing multilayer nodes are produced for demodulation of spread-spectrum signals. The Neural Networks are trained for the demodulation of signals by using back propagation type algorithms. A comparative analysis of the two receivers, the conventional and that employing Neural Network, has been presented.

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HARDWARE IMPLEMENTATION OF AN ANN TRAINED BY GA AND PSO BASED ON FPGA1

Asst. Prof. Dr Hanan A. R. Akkar; Ph.D. Student Sundus Dhamad Hasan

Volume 11, Issue 2 , December 2011, , Page 89-98

Abstract

  Abstract: In this paper, Particle Swarm Optimization-feedforward Neural Network (PSONN) and Genetic Algorithm-Neural Network (GANN) are proposed to enhance the learning process of ANN in term of convergence rate and classification accuracy. They have been tested and compared and the results applied ...  Read More ... Abstract: In this paper, Particle Swarm Optimization-feedforward Neural Network (PSONN) and Genetic Algorithm-Neural Network (GANN) are proposed to enhance the learning process of ANN in term of convergence rate and classification accuracy. They have been tested and compared and the results applied in pattern classification. The experiments show that both algorithms produce feasible results in terms of convergence time and classification percentage. At the end of the evolutionary process of GANN for optimal structure, not only the best network structure for a particular application but also the trained network with few numbers of epochs is provided. A Hardware Design of ANN platform (HDANN) is proposed to evolve the architecture of ANN circuits using FPGA-spartan3 board (XSA-3S1000 Board). The HDANN design platform creates ANN design files using WebPACKTM ISE 9.2i, and converted into device-dependent programming files for eventual downloading into an FPGA device by using GXSLOAD program from the XSTOOLS programs.

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Down Link Beam Forming for Capacity Improvement of Wireless Indoor Communication Systems

Dr. Amin M. Abbosh

Volume 4, Issue 1 , December 2004, , Page 89-102

Abstract

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Xilinx FPGA Implementation of Arithmetic Logic Shift Unit (ALSU) .

Raghad Z. Tawfiq

Volume 6, Issue 3 , December 2006, , Page 90-100

Abstract

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PID Controller Configuration and Tuning Based on Genetic Algorithms

Salih M. Attya; Dr. Mohammed H. Al-Jammas; Dr. Mazin Z. Othman

Volume 12, Issue 2 , December 2012, , Page 90-97

Abstract

  Abstract-- In this work, the power of the Genetic Algorithms (GA) in searching for an optimal solution (in a pre-determined hyper space) is used to design the suitable configuration and parameters of the Proportional-Integral-Derivative (PID) controller. In most industrial plants, the PID controllers ...  Read More ... Abstract-- In this work, the power of the Genetic Algorithms (GA) in searching for an optimal solution (in a pre-determined hyper space) is used to design the suitable configuration and parameters of the Proportional-Integral-Derivative (PID) controller. In most industrial plants, the PID controllers are configured either in cascade, feedback or in feed forward topologies. Besides, for each of these configurations the tuning gains have to be fixed in order to meet the required specifications. Therefore, GA is utilized efficiently to select the proper PID configuration in the context of signal following approach as well as the best tuning gains for the selected configuration. The proposed design procedure is applied to linear and nonlinear plants. It reflects a tremendous design results that heavily relied on computer to get the required controller.

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