<abstract xmlns="http://www.w3.org/1999/xhtml">The problem of classifying diversely distorted objects is considered. The classifier is a 2-layer perceptron capable of classifying greater amounts of objects in a unit of time. This is an advantage of the 2-layer perceptron over more complex neural networks like the neocognitron, the convolutional neural network, and the deep learning neural networks. Distortion types are scaling, turning, and shifting. The object model is a monochrome 60 × 80 image of the enlarged English alphabet capital letter. Consequently, there are 26 classes of 4800-featured objects. Training sets have a parameter, which is the ratio of the pixel-to-scale-turn-shift standard deviations, which allows controlling normally distributed feature distortion. An optimal ratio is found, at which the performance of the 2-layer perceptron is still unsatisfactory. Then, the best classifier is further trained with additional 438 passes of training sets by increasing the training smoothness tenfold. This aids in decreasing the ultimate classification error percentage from 35.23 % down to 12.92 %. However, the expected practicable distortions are smaller, so the percentage corresponding to them becomes just 1.64 %, which means that only one object out of 61 is misclassified. Such a solution scheme is directly applied to other classification problems, where the number of features is a thousand or a few thousands by a few tens of classes.</abstract>

Classifying Scaled-Turned-Shifted Objects with Optimal Pixel-to-Scale-Turn-Shift Standard Deviations Ratio in Training 2-Layer Perceptron on Scaled-Turned-Shifted 4800-Featured Objects under Normally Distributed Feature Distortion

<abstract xmlns="http://www.w3.org/1999/xhtml">This study presents a well-developed optimization methodology based on the dynamic inertia weight Artificial Bee Colony algorithm (ABC) to design an optimal PID controller for a robotic arm manipulator. The dynamical analysis of robotic arm manipulators investigates a coupling relation between the joint torques applied by the actuators and the position and acceleration of the robot arm. An optimal PID control law is obtained from the proposed (ABC) algorithm and applied to the robotic system. The designed controller optimizes the trajectory of the robot’s end effector for a time-variant input and makes the robot robust in the presence of external disturbance.</abstract>

Modern University for Technology and Information

Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony Algorithm

<abstract xmlns="http://www.w3.org/1999/xhtml">The aim of the investigation presented in this paper was to develop a software-based assistant for the protein analysis workflow. The prior characterization of the unknown protein in two-dimensional electrophoresis gel images is performed according to the molecular weight and isoelectric point of each protein spot estimated from the gel image before further sequence analysis by mass spectrometry. The paper presents a method for automatic and robust identification of the protein standard band in a two-dimensional gel image. In addition, the method introduces the identification of the positions of the markers, prepared by using pre-selected proteins with known molecular mass. The robustness of the method was achieved by using special validation rules in the proposed original algorithms. In addition, a self-organizing map-based decision support algorithm is proposed, which takes Gabor coefficients as image features and searches for the differences in preselected vertical image bars. The experimental investigation proved the good performance of the new algorithms included into the proposed method. The detection of the protein standard markers works without modification of algorithm parameters on two-dimensional gel images obtained by using different staining and destaining procedures, which results in different average levels of intensity in the images.</abstract>

A Robust Identification of the Protein Standard Bands in Two-Dimensional Electrophoresis Gel Images

<abstract xmlns="http://www.w3.org/1999/xhtml">A conventional MIMO system is designed consisting of 4 antenna elements at both the receiver and transmitter ends. Different kinds of signal detection techniques, namely, zero forcing (ZF), minimum mean square error (MMSE) and beamforming (BF), are used at the receiver end for signal detection. The performance of the system is analyzed by calculating BER vs SNR for each of the above techniques separately. The present work has been thoroughly analyzed and implemented using MATLAB. On the basis of the results obtained, it is summarized that as the values of SNR increase, BER decreases for ZF and MMSE and it almost vanishes to zero even for low SNR values if BF is used. Although ZF and MMSE are suitable for designing a conventional MIMO system with 4 antenna elements, it becomes too difficult for a large number of antenna elements due to its complexity of calculating the inverse of a (<italic>N</italic> × <italic>N</italic>) matrix. Based on the results analyzed so far, it is concluded that beamforming (BF) is a suitable technique for designing a system that has a large number of antenna elements at the base station. A further improved system with enhanced performance regarding lower BER for even smaller values of SNR is designed in the present study, consisting of 8 antennas at the base station. The results obtained are enthusiasm-provoking and encouraging for further studies to develop a concept for next-generation wireless communication systems with an optimum design.</abstract>

Design, Simulation &amp; Concept Verification of 4 × 4, 8 × 8 MIMO With ZF, MMSE and BF Detection Schemes

<abstract xmlns="http://www.w3.org/1999/xhtml">The choice of the spreading sequence for asynchronous direct-sequence code-division multiple-access (DS-CDMA) systems plays a crucial role for the mitigation of multiple-access interference. Considering the rich dynamics of chaotic sequences, their use for spreading allows overcoming the limitations of the classical spreading sequences. However, to ensure low cross-correlation between the sequences, careful selection must be performed. This paper presents a novel exhaustive search algorithm, which allows finding sets of chaotic spreading sequences of required length with a particularly low mutual cross-correlation. The efficiency of the search is verified by simulations, which show a significant advantage compared to non-selected chaotic sequences. Moreover, the impact of sequence length on the efficiency of the selection is studied.</abstract>

Computationally Efficient Chaotic Spreading Sequence Selection for Asynchronous DS-CDMA

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Electrical, Control and Communication Engineering

The aim of the Journal of Electrical, Control and Communication Engineering of Riga Technical University (RTU-ECCE Journal) is to provide an on-line forum for scientific discussions and feedbacks from the scientific society to particular scientists from all over the world on their later scientific achievements in the below mentioned fields.　The journal considers publication of all authors, but gives preference to the post-conference papers after one of the following events (International Scientific Conferences on Power and Electrical Engineering of Riga Technical University - RTUCON, Workshops on Advances in Information, Electronic and Electrical Engineering – AIEEE, International Doctoral School of Electrical Energy Conversion and Saving Technologies of Riga Technical University, Doctoral School of Energy and Geotechnology of TalTech), as well as the papers recommended by section editors of the journal. The submissions are reviewed, edited and published in the mentioned priority order.  The scope of RTU-ECCE journal includes (but not limited to) the following areas:    Electrical Engineering and Power Electronics:     Electrical machines, Apparatus, Drives, Motion Control and Robotics;    Components, Design and Application of Power Electronic Converters;    Electromagnetic Compatibility and Interference of Electrical Equipment;    Electrical Materials, Reliability and Diagnostics;    Medical and other Bio-contact Electrical Equipment.    Power and Energy Systems:     Power System Control, Automation, Stability and Protection;    Power Quality and Reliability;    Power Plants, Renewable and Distributed Energy Systems;    Power System Planning, Management, Economic Evaluation and Risk Assessment;    Electricity Market;    Smart Grids &amp; Microgrids.    Information Processing in the context of Electrical and Power Engineering     Electronic Circuits and Systems for Control Applications;    Control Theory, Analysis, Simulation and Implementation Software;    Principles of Physical Transmission and Processing of Information, New Interfaces and Protocols.    Microwave Technique and Antennas     Theory, Analysis and Simulation of Microwave Technique;    Software and Experimental Methods Dedicated for Microwave Equipment;    Antennas, Radar Systems and other Microwave Applications.  The editorial board of RTU-ECCE Journal is always open for discussion on the journal topics.   In 2012 the journal Electrical, Control and Communication Engineering separated from the RTU journal series Power and Electrical Engineering. Why subscribe and read  Electrical, Control and Communication Engineering is a peer-reviewed journal providing the latest information in the field of electrical engineering and information technologies. The journal focuses on recent research in electrical and control engineering paying special attention to the reports which have the most significant practical importance.The journal includes a wide range of publications on electrical and electronic equipment, as well as on other means for energy conversion, information processing and transmission purposes.  Why submit  The journal provides highly qualified feedback on the research, as well as international publicity. The editorial board will continuously care about the citation level of the journal.  Rejection Rate   30%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 

Electrical, Control and Communication Engineering

Volume 13 (2017): Issue 1 (December 2017)

Classifying Scaled-Turned-Shifted Objects with Optimal Pixel-to-Scale-Turn-Shift Standard Deviations Ratio in Training 2-Layer Perceptron on Scaled-Turned-Shifted 4800-Featured Objects under Normally Distributed Feature Distortion

Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony Algorithm

A Robust Identification of the Protein Standard Bands in Two-Dimensional Electrophoresis Gel Images

Design, Simulation & Concept Verification of 4 × 4, 8 × 8 MIMO With ZF, MMSE and BF Detection Schemes

Computationally Efficient Chaotic Spreading Sequence Selection for Asynchronous DS-CDMA

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