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WSEAS Transactions on Systems


Print ISSN: 1109-2777
E-ISSN: 2224-2678

Volume 13, 2014

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 13, 2014


Title of the Paper: Basic Properties of Slow-Fast Nonlinear Dynamical System in the Atmosphere-Ocean Aggregate Modeling

Authors: Sergei Soldatenko, Denis Chichkine

Abstract: Complex dynamical processes occurring in the earth’s climate system are strongly nonlinear and exhibit wave-like oscillations within broad time-space spectrum. One way to imitate essential features of such processes is using a coupled nonlinear dynamical system, obtained by combining two versions of the well-known Lorenz (1963) model with distinct time scales that differ by a certain time-scale factor. This dynamical system is frequently applied for studying various aspects of atmospheric and climate dynamics, as well as for estimating the effectiveness of numerical algorithms and techniques used in numerical weather prediction, data assimilation and climate simulation. This paper examines basic dynamic, correlation and spectral properties of this system, and quantifies the influence of the coupling strength on power spectrum densities, spectrograms and autocorrelation functions.

Keywords: Dynamical system, earth’s climate system, numerical weather prediction, spectral properties

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #75, pp. 757-766


Title of the Paper: Development and Application of a Time Series Predictive Model to Acoustical Noise Levels

Authors: Claudio Guarnaccia, Joseph Quartieri, Nikos E. Mastorakis, Carmine Tepedino

Abstract: Acoustical noise is one of the most relevant problem to be faced in urban areas. Since a large network of monitoring stations would be very expensive, the adoption of predictive model is a very common practice in environmental impact assessment. Usually, the standard models are based on the fit of field measurements in certain areas, in order to evaluate the model parameters and be able to give predictions in any other condition. A new approach, based on Time Series analysis, is presented in this paper. This approach considers that a time series can be composed by a trend (long term behaviour), a seasonality (periodicity) and an irregular term (random non deterministic variation). The evaluation of these components is made in the calibration phase and a validation can be performed evaluating the difference between observed and forecasted values. This scheme is applied to a case study time series, that is a daily noise levels dataset detected in the city of Messina, Italy. The building model procedure and results are discussed and presented in details for different calibration and validation subsets, in order to highlight the variation in the model predictive capabilities and to optimize the forecast, by means of minimization of the difference between actual data and forecasts. The easiness in the implementation and the good predictive performances will be the strengths of the model.

Keywords: Time Series, Acoustics, Noise Control, Predictive Model

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #74, pp. 745-756


Title of the Paper: Towards Representation of Agents and Social Systems Using Field-Theoretical Approach

Authors: Darius Plikynas

Abstract: This multidisciplinary paper starts from a review of a wide range of theories across various disciplines in search of common field-like fundamental principles of coordination and self-organization existing on the quantum, cellular, and social levels. These studies outline universal principles, which are further employed to formulate main premises and postulates for the proposed OSIMAS (oscillation-based multi-agent system) simulation paradigm. OSIMAS design is based on neuroscience discoveries about the oscillating nature of the agents mind states and of the nonlocal field-like self-organization properties of modern information societies. OSIMAS approach considers conceptual trinity of the core models. In this paper there is presented the pervasive information field conceptual model in more details. In this way, the paper sheds new light on social systems in terms of fundamental properties of information and order. We also provide a review of some related other studies and applications of virtual field-based modeling.

Keywords: Multi-agent systems, oscillating agent, information field, self-organizing systems

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #73, pp. 730-744


Title of the Paper: Analysis of Attribute Acceptance Sampling Properties

Authors: Sejid Tešnjak, Ivan Banovac

Abstract: Attribute sampling is a powerful quality inspection tool. The Lot Acceptance Sampling Plans (LASPs) for sampling by attributes represent a valuable method of quality inspection. Significant LASPs such as the c=0, Dodge-Romig, Philips as well as ANSI/ASQC Z1.4 which replaced MIL-STD 105E have comprehensive procedures and statistical base. A single LASP can be implemented efficiently if inspection of incoming lots is unpractical and expensive due to the destructive and/or time-consuming procedure. The implementation of LASPs is useful when a large number of purchased items is inspected daily in any complex industrial branch, such as electric-power or gas, but even in large medical laboratories. The significant issues of a complex attribute acceptance sampling statistical frame are considered in the paper. It is demonstrated how the lot size differs over different double sampling plans.

Keywords: Attribute acceptance sampling, Attribute case, Quality inspection

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #72, pp. 720-729


Title of the Paper: Adaptive Control of Pantograph-Catenary Interaction Force

Authors: Rusu-Anghel Stela, Cristina Miklos, Iulian-Ciprian Lihaciu

Abstract: The catenary and the pantograph of an electric locomotive have a dynamic-oscillatory behavior, to which are added a series of turbulences that cannot be approached by a classic calculation method. Experimental observations and reference literature point out the fact that at speeds higher than 180 km/h, the pantograph and the catenary temporarily lose contact and that triggers electric arcs with negative consequences. Some mathematical models have been developed, predicting the dynamic behavior of this assembly and of the contact force, but all of them have some degree of imprecision (disregarding the phenomena difficult to model). They also can not be used in real time to control the contact force between the pantograph and catenary. This paper suggests a new method thereby the system that controls the contact force is divided into two sub-systems: a determinative one and a chaotic one; for each one, appropriate adjustment laws are suggested. The solutions resulting from simulation are encouraging and need industrial implementation.

Keywords: Pantograph, Contact force, Control, Chaos Theory, Adaptive, Fuzzy

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #71, pp. 708-719


Title of the Paper: Information Fusion of Airborne Radar and ESM for Maneuvering Target Tracking System based on IMM-BLUE

Authors: Bao-Bao Wang, Lian-Zheng Zhang

Abstract: In order to make full use of measurement information provided by sensors on the aerial carriers and efficiently make maneuvering target tracking under complicated conditions, this paper studies tracking methods of joint maneuvering target by airborne radar and Electronic Support Measure (ESM). Based on Interacted Multiple Model-Blue Linear Unbiased Estimation (IMM-BLUE) algorithm, this paper well tracks maneuvering target by airborne radar-ESM data fusion and has designed target tracking algorithm for airborne radar in Doppler blind zone (DBZ) as well as proposes two tracking methods separately for measured value of data fitting amount in DBZ and single ESM. Simulation results show IMM-BLUE algorithm well advantages over Extended Kalman Filter (EKF) by far avoiding the defect of divergement from the latter. Compared with simulation results of single radar, the data fusion tracking of airborne radar and ESM further improves tracking accuracy. Performances of either curve-fitting method in DBZ or single ESM tracking prove validity of the two methods in this paper. Radar-ESM joint tracking technology discussed in this paper has solved the problems caused by sensor unicity and Doppler blind zone.

Keywords: Maneuvering target tracking, IMM-BULE, Information Fusion, DBZ, Airborne Radar, ESM

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #70, pp. 699-707


Title of the Paper: Dynamical Analysis and Synthesis of Inertia-Mass Configurations of a Spacecraft with Variable Volumes of Liquids in Jet Engine Tanks

Authors: Anton V. Doroshin, Mikhail M. Krikunov

Abstract: In the article the attitude motion of a spacecraft with variable mass/structure is considered at the variability of the volume of liquids (the fuel and the oxidizer) in tanks of the jet engines. The variability of the liquid’s volume is occurred under the action of systems of the extrusion of liquids by the pressure creation and, as a result, by the diaphragm (a thin soft foil) deformation inside the fuel/oxidizer tank. The synthesis of the attitude dynamics is fulfilled by the change of directions of the extrusion of the liquids in tanks – this modifies the inertia-mass parameters (their corresponding time-dependencies) and affects the final motion dynamics. Here we showed that the extrusion in the lateral radial ―outside‖ direction is most preferable in comparison with the longitudinal extrusion (in the direction of jet-vector). It means that the precession cone of the longitudinal axis of the spacecraft (the axis of the jet-engine reactive thrust) is ―twisted up‖ to the precalculated necessary direction of jet-impulse, and it has not ―untwisted‖ phases. This scheme of the liquid extrusion is dynamically optimal, because it allows to improve the active inter-orbital maneuver by the natural/uncontrolled/passive way.

Keywords: Spacecraft; Variability of the Volume of Liquids; Tanks of the Jet-Engines; Attitude Dynamics; The Curvature Method; Precession Motion

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #69, pp. 690-698
Special Issue: Nonlinear Dynamics, Dynamical Systems and Processes
Editors: A. V. Doroshin, F. Neri


Title of the Paper: LMI based Bounded Output Feedback Control for Uncertain Systems

Authors: Eva Gyurkovics, Tibor Takacs

Abstract: The paper provides conditions for constrained dynamic output feedback controller to be cost guaranteeing and assuring asymptotic stability for both continuous and discrete-time systems with quadratically constrained nonlinear/uncertain elements. The conditions are formulated in the form of matrix inequalities, which can be rendered to be linear fixing one of the scalar parameters. An abstract multiplier method is applied. Numerical examples illustrate the application of the proposed method.

Keywords: Robust control; dynamic output feedback; guaranteed cost; uncertain systems; LMI

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #68, pp. 679-689
Special Issue: Nonlinear Dynamics, Dynamical Systems and Processes
Editors: A. V. Doroshin, F. Neri


Title of the Paper: Permanence and Asymptotically Periodic Solution for A Cyclic Predator-Prey Model with Sigmoidal Type Functional Response

Authors: Changjin Xu, Qiming Zhang

Abstract: This paper is concerned with a cyclic predator-prey system with Sigmoidal type functional response. By using the differential inequality theory, some sufficient conditions are derived for the permanence of the system. By constructing a suitable Liapunov function, we obtain that the system has a unique asymptotically periodic solution which is globally asymptotically stable. Some numerical simulations that illustrate our analytical predictions are carried out. The paper ends with a brief conclusion.

Keywords: Predator-prey system, Permanence, Sigmoidal type functional response, Asymptotically periodic solution, Liapunov function; Global stability

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #67, pp. 668-678
Special Issue: Nonlinear Dynamics, Dynamical Systems and Processes
Editors: A. V. Doroshin, F. Neri


Title of the Paper: Fault Detection and Diagnosis in Non-Linear Process using Multi Model Adaptive H∞ Filter

Authors: M. Manimozhi, R. Saravanakumar

Abstract: Kalman Filter (KF) is widely used in process industries as state estimator to diagnose the faults either in the sensor, actuator or in the plant because of its recursive nature. But, due to increase in non-linearity and exogenous perturbations in the monitored plant, it is often difficult to use a simple KF as state estimator for nonlinear process monitoring purposes. Thus, the first objective of this paper is to design an Adaptive Linear H∞ Filter (ALH∞F) using gain scheduling algorithm to estimate nonlinear process states in the presence of unknown noise statistics and unmodeled dynamics. Next the designed ALH∞F is used to detect sensor and actuator faults which may occur either sequentially or simultaneously using Multi Model ALH∞F (MMALH∞F). The proposed estimator is demonstrated on Continuously Stirred Tank Reactor (CSTR) process to show the efficacy. And the performance of MMALH∞F is compared with MMALKF. The proposed MMALH∞F is detecting and isolating the faults exactly in the presence of unknown noise statistics and unmodeled dynamics.

Keywords: CSTR, Process Monitoring, Kalman Filter, Multi Model Adaptive Linear H∞ Filter, Residual generation, State Estimation

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #66, pp. 660-667
Special Issue: Nonlinear Dynamics, Dynamical Systems and Processes
Editors: A. V. Doroshin, F. Neri


Title of the Paper: A Linear Temperature Measurement System Based on Cu100

Authors: Jiu-Qiang Zhao, Xiao-Fen Li, Zhi Cheng, Guang Chen

Abstract: A temperature measurement device is designed for the temperature measurement and control of industrial processes with high accuracy by using Cu100 thermal resistor. It consists of AD590M constant current source, resistors, amplifier, A/D converter, data sampling and processing system, digital display, alarming unit, serial output ports, etc. The single comparing method is used to find the thermal resistor value which is mapped to the corresponding temperature by looking into indexing table. Therefore, linearity is implemented, which greatly reduces the impact of temperature-drift and non-linearity in amplifier. Besides, the device implements the measuring of full temperature range of the reference table. The theoretical error of the device is less than 0.1 ℃ and meets the requirements in most of industrial processes.

Keywords: Linear temperature measurement, Cu100 copper resistor, MCU, linear indexing table

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #65, pp. 648-659
Special Issue: Nonlinear Dynamics, Dynamical Systems and Processes
Editors: A. V. Doroshin, F. Neri


Title of the Paper: Open Research Issues on Nonlinear Dynamics, Dynamical Systems and Processes

Authors: A. V. Doroshin, F. Neri

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #64, pp. 644-647
Special Issue: Nonlinear Dynamics, Dynamical Systems and Processes
Editors: A. V. Doroshin, F. Neri


Title of the Paper: Electricity Consumption Prediction System for the Public Transportation

Authors: Svetoslav Iliev, Silviya Popova

Abstract: A system for prediction of the electricity consumption of public transport in a city is presented in the paper. A multilayer neural network with back propagation learning method is the basic part of the system. In transport hauler the Power Engineer has to declare the necessary electricity consumption for every hour of the following week. The incorrect request affects the price of the electricity. Electricity consumption is a random process which depends on many factors. Dialogue system requires information for the month, type of day, time and temperature. The system provides information for the distributions of temperature, kilometers run and their joint distribution for the different periods. The system searches the kilometers run with similar parameters in the database and offers an average value. The Power Engineer compares this value with the planed kilometers run and decides the value for the request. Thereby formed query is the input vector to the neural network, which returns a value of electricity consumption. The neural network is previously trained with 26230 items for the past period. The neural network has one input with five neurons, one hidden and one output layer with one neuron. The output is the electricity consumption.

Keywords: Dialogue system, neural network, electricity consumption, prediction, back propagation learning method, copula, histogram, database

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #63, pp. 638-643


Title of the Paper: Study on Base-Core Mode Coupling Networks

Authors: Xu-Hua Yang, Jiu-Qiang Zhao, Guang Chen

Abstract: There exist a kind of networks composed of two coupled network which are a base network and a core network respectively. For instance, an urban public transport network consists of a bus network (base network) and subway network (core network), the two networks are coupled together. We proposed a base-core coupling network model to study the performance of the kind of coupling network. In the model, the base network is generated first, then the nodes of the core network are selected from the base network according to a preferential selection scheme based on and , where and represent the node degree and betweenness respectively, represents the preferential selection exponent. Under different value of , we investigate the performance of the coupling network in different network structure and different network size collocations. Simulation result shows: the greater value of , the higher of the use rate of the core network and the smaller of the weighted average shortest path length of the coupling network. Namely, a higher preferential selection exponent corresponds to better coupling network performance.

Keywords: Base-core coupling network, preferential selection exponent, the weighted average shortest path length, the use rate of the core network

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #62, pp. 628-637


Title of the Paper: Methods to Study the Stability of Dynamical Systems. Applications

Authors: Dumitru Bălă

Abstract: In this paper we propose to study the stability of dynamical systems described by a differential equation or by a system of differential equations. These dynamic systems have applications in technical and economy. Dynamic systems are taken from the specialty literature, but the study of stability has, by the following methods, original elements. Stability study has been my field of study in the last 15 years.

Keywords: Dynamic system, stability, Leapunov function, instability, Lagrangian, Hamiltonian

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #61, pp. 617-627


Title of the Paper: Hybrid System of Optimal Self Organizing Maps and Hidden Markov Model for Arabic Digits Recognition

Authors: Zakariae En-Naimani, Mohamed Lazaar, Mohamed Ettaouil

Abstract: Thanks to Automatic Speech Recognition (ASR), a lot of machines can nowadays emulate human being ability to understand and speak natural language. However, ASR problematic could be as interesting as it is difficult. Its difficulty is precisely due to the complexity of speech processing, which takes into consideration many aspects: acoustic, phonetic, syntactic, etc. Thus, the most commonly used technology, in the context of speech recognition, is based on statistical models. Especially, the Hidden Markov Models which are capable of simultaneously modeling frequency and temporal characteristics of the speech signal. There is also the alternative of using Neuronal Networks. But another interesting framework applied in ASR is indeed the hybrid Artificial Neural Network (ANN) and Hidden Markov Model (HMM) speech recognizer that improves the accuracy of the two models. In the present work, we propose an Arabic digits recognition system based on hybrid Optimal Artificial Neural Network and Hidden Markov Model (OANN/HMM). The main innovation in this work is the use of an optimal neural network to determine the optimal groups, unlike in classical Kohonen approach. The numerical results are powerful and show the practical interest of our approach.

Keywords: Automatic Speech Recognition, Hidden Markov Models, Self Organizing Maps, Vector Quantization

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #60, pp. 606-616


Title of the Paper: Application of an Interactive Genetic Algorithm in the Conceptual Design of Car Console

Authors: Runliang Dou, Chao Zong, Minqiang Li

Abstract: Interactive genetic algorithms are effective methods applied into the conceptual design of car console in order to better cater to the customer’s individualized demands for product design. In traditional interactive genetic algorithms, users’ fatigue problem restricts the population size. We propose individual fitness estimation method based on artificial neural network to reduce user fatigue problem and maintain large population size, as well as hierarchical interactive genetic algorithm to make the evolution of the population more directional and the combination of collaborative interactive genetic algorithm based on users’ preferences to implement the user personalized design system for car console. Through the establishment of the car console conceptual design system, the users interact with the system by a graphical interface. Results prove that they could conveniently design their favourite console, and their fatigue problem can be effectively solved by this system.

Keywords: Car console; conceptual design; interactive genetic algorithm; artificial neural network; user fatigue

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #59, pp. 596-605


Title of the Paper: Generating Outlines of Generic Shapes by Mining Feature Points

Authors: Muhammad Sarfraz

Abstract: An approach, based on conic splines, is proposed here for capturing image outlines of generic shapes. It has various phases including extracting outlines of images, mining feature points from the detected outlines, and curve fitting. The idea of particle swarm optimization has been incorporated to optimize the shape parameters in the description of the conic spline. The method ultimately produces optimal results for the approximate vectorization of the digital contours obtained from the generic shapes. Demonstrations also make the essential part of the paper.

Keywords: Imaging; optimization; particle swarm optimization; generic shapes; curve fitting

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #58, pp. 584-595


Title of the Paper: Neutral Point Potential Balance of Three Phase Three Level Diode Clamped Inverter

Authors: M. Balamurugan, M. Gnana Prakash, S. Umashankar

Abstract: This paper presents a simple method to control the neutral point potential (NPP) variations in three phase three level diode clamped multilevel inverters and also eliminate imbalance in the dc link. Phase Disposition (PD) PWM technique is used for generating the gate pulse for the switches. Two different controllers are used in this method. One for dc side control and the other is for load side control. The Performance parameters are analyzed for different controllers like PI and Fuzzy Logic controller and the results are summarized in the table. The Circuit is simulated in Matlab/Simulink and the effect of the Total Harmonic Distortion (THD) is analyzed. The simulation result confirms the effectiveness of this method to control the neutral point potential variation.

Keywords: Multilevel inverter, Phase Disposition (PD), Total Harmonic Distortion (THD), Pulse Width Modulation (PWM), Neutral Point Potential (NPP)

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #57, pp. 575-583
Special Issue: Deregulated Electricity Market: Investigation and Solution Methodologies
Editors: S. Prabhakar Karthikeyan, F. Neri


Title of the Paper: Multi Objective Combined Emission Constrained Unit Commitment Problem Using Improved Shuffled Frog Leaping Algorithm

Authors: J. Mary Anita, I. Jacob Raglend, D. P. Kothari

Abstract: This paper presents a solution technique for combined emission constrained unit commitment problem (UCP) . The emission level is taken as a constraint in both the selection of units for generation and also in dispatching the real power among the committed units. The multi objective problem is converted into a single objective using max price penalty factor method. Since unit commitment problem is highly constrained and complex, we need a solution technique capable of solving such complex problems. Improved Shuffled Frog Leaping Algorithm (SFLA) is a memetic algorithm which deals with the behaviour of group of frogs searching for the location that has the maximum amount of available food. Leaping of the frog is improved by the introduction of cognitive component. This ensures the faster convergence and global optimal solution. The integer coded UC is used which avoids any extra penalty function for satisfying the minimum up/down constraint. The SFLA is used in two stages in this proposed method. This proposed algorithm has been implemented in Matlab 2011 environment. IEEE 14 bus system, IEEE 30 bus system, IEEE 56 bus system and IEEE 118 bus system are taken as the test system. We have taken 3 cases such as purely economical case, purely emission case and combined emission and economic case by varying the weighting factors for the constraints. The results of these cases are discussed to explain the effect of emission in selecting units and in economic dispatch.

Keywords: Economic dispatch, emission dispatch, Shuffled frog Leaping Algorithm, local search, cognitive component

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #56, pp. 560-574
Special Issue: Deregulated Electricity Market: Investigation and Solution Methodologies
Editors: S. Prabhakar Karthikeyan, F. Neri


Title of the Paper: The Analysis of the Deforming Regime Generated by AC-DC Converters using Discrete Wavelet Transform

Authors: Viorel Apetrei, Constantin Filote, Adrian Graur

Abstract: The emergence of deforming regimes is related to the proliferation of nonlinear electrical receivers. The higher harmonics of drawn currents from power systems can be evaluated using Discrete Wavelet Transform (DWT). Unlike Fast Fourier Transform (FFT), which provides only amplitude-frequency information but looses time information, DWT analyses the signal in a time-frequency domain using windows of variable sizes, relative to the frequency band; therefore reducing the computational effort and minimizing the spectral leakage. The operating mode of a static power converter as classic three-phase rectifier with diodes (TPRD) is compared with the modern rectifier with near sinusoidal input currents (RNSIC).

Keywords: Discrete Wavelet Transform (DWT), data acquisition system, AC-DC Converters, three-phase rectifier with diodes (TPRD), rectifier with near sinusoidal currents (RNSIC)

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #55, pp. 551-559
Special Issue: Deregulated Electricity Market: Investigation and Solution Methodologies
Editors: S. Prabhakar Karthikeyan, F. Neri


Title of the Paper: Determining the Optimal Location and Sizing of Distributed Generation Unit using Plant Growth Simulation Algorithm in a Radial Distribution Network

Authors: D. Rama Prabha, T. Jayabarathi

Abstract: Distributed generation (DG), is the process of generating electricity from many small energy sources and connecting it directly to the distribution network. Determining the optimum location and sizing of distributed generation units is one of the major factors in the distributed network. For maximum power loss reduction, proper positioning and sizing of DG are ardently necessary. In this paper, a heuristic method which employs the plant growth simulation algorithm(PGSA) is proposed to determine the sizing of the distributed generating unit and loss sensitivity factor is used in selection of the optimal location of DG.PGSA is a random search algorithm which is inspired by the growth of the plant. By simulating the growth process of plant phototropism, a probability model is established. Reduction of line losses in the radial distribution network is the main objective of this paper. The proposed method is applied to IEEE 10 bus system and IEEE 33 bus systems. The solution obtained by the proposed method has outperformed in the quality.

Keywords: Distributed Generation, distributed network, heuristic method, plant growth simulation algorithm, sensitivity factor, line losses

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #54, pp. 543-550
Special Issue: Deregulated Electricity Market: Investigation and Solution Methodologies
Editors: S. Prabhakar Karthikeyan, F. Neri


Title of the Paper: Emission Controlled Profit based Unit Commitment for GENCOs using MPPD Table with ABC Algorithm under Competitive Environment

Authors: K. Asokan, R. Ashokkumar

Abstract: The fossil fuelled power plants are discharging green house gases into the atmosphere which leads to the climate change and global warming around the world. Environmental factors become subject of matter for fossil – fuelled power producers and must be considered in the optimization problem. In this article the profit based unit commitment problem has been analyzed with emission limitations using Modified Pre –Prepared power Demand (MPPD) Table with Artificial Bee Colony (ABC) algorithm. An electricity market facilitated by emission minimization is believed to help to reduce the global warming and paves the way to enhance the profit of generation companies. The proposed approach is demonstrated on 10 units 24 hour (IEEE 39 bus system) test systems and numerical results are tabulated. The MPPD-ABC algorithm appears to be robust, simple and reliable optimization algorithm for the solution of PBUC problem with emission constraints.

Keywords: Deregulation, Profit based UC, Profit maximization, Emission limitations, MPPD table with ABC algorithm

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #53, pp. 523-542
Special Issue: Deregulated Electricity Market: Investigation and Solution Methodologies
Editors: S. Prabhakar Karthikeyan, F. Neri


Title of the Paper: Open Research Issues on Deregulated Electricity Market: Investigation and Solution Methodologies

Authors: S. Prabhakar Karthikeyan, F. Neri

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #52, pp. 520-522
Special Issue: Deregulated Electricity Market: Investigation and Solution Methodologies
Editors: S. Prabhakar Karthikeyan, F. Neri


Title of the Paper: CAM-based Digital Image Watermarking Revisited

Authors: Mohamed Tahar Ben Othman

Abstract: The Content Addressable Method (CAM) is used in a new RGB image watermarking system. The image is divided into clusters indexed by CAM technique. Each cluster holds part of the watermark in sequence. A cluster is segmented into equal portions each of them is used to duplicate a number of bits of the watermark. These portions are numerated by a counter added to some LSB bits of the pixels. We used two techniques for this segmentation. In the first technique, the cluster's pixels are allocated to a portion in a first visited first allocated FVFA way. The counter is added to portions in sequence. In second technique, a Content Based Counter CBC is used to allocate pixels to the portion and a uniform redistribution is made for each cluster. The redistribution is done in a way to minimize the modifications in counter space. Both techniques show robustness resisting to rotation attacks. The CBC performs better as it minimizes the Number of Bit Change Rate (NBCR) in the counter field. Using CBC our watermarking system resists better to cropping attacks.

Keywords: Watermarking, image rotation, clustering, color images, Content Addressable Method, Content Based Counter

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #51, pp. 510-519
Special Issue: Multi-models for Complex Technological Systems
Editors: C. Ciufudean, F. Neri


Title of the Paper: An Approach to Developing Power Grid Control Systems with IEC 61850, IEC 61499 and Holonic Control

Authors: Valentin Vlad, Corneliu Buzduga, Calin Ciufudean

Abstract: This paper presents some models and concepts for developing smart power grid control systems based on holonic concepts and the open standards IEC 61850, IEC 61499. Along with the proposed holonic models for different levels of control, we present a simple fault protection application illustrating how the IEC 61499 artifacts can be used for modeling and implementation of IEC 61850 compliant applications.

Keywords: Power grid, holonic control, IEC 61499, IEC 61850

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #50, pp. 503-509
Special Issue: Multi-models for Complex Technological Systems
Editors: C. Ciufudean, F. Neri


Title of the Paper: Aggregation Modeling of Large Wind Farms using an Improved K-Means Algorithm

Authors: Jian-Ping Zhang, Hao-Zhong Cheng, Shu-Xin Tian, Ding Yan

Abstract: Large wind farms require modeling and simulation in their planning and construction process to provide a basis for grid planning. As a large wind farm is comprised of hundreds or even thousands of wind generators, the detailed-model building of wind farms is difficult, which are associated with slow simulation speeds and heavy workloads. In this paper, an improved K-means algorithm-based aggregation modeling method is proposed for large wind farms. A model is built for a typical 300 MW wind farm of the northern Jiangsu Province in China and its simulations are performed. The results based on a comparison between a single-fan aggregation model and a multi-fan aggregation model are obtained. The aggregation method proposed in this paper proves to be accurate and fast, which is able to meet the requirements for output simulation.

Keywords: Wind farm, power grid, wind generator, aggregation modeling, output simulation, K-means clustering algorithm

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #49, pp. 492-502
Special Issue: Multi-models for Complex Technological Systems
Editors: C. Ciufudean, F. Neri


Title of the Paper: Specific Problems on the Operation of the Automatic Control System of Temperature into an Individual Dwelling

Authors: Daniel Popescu

Abstract: The article makes an analysis of the functioning for the heating automation system with hot air blown into an individual dwelling. The structure of the automatic control system for indoor temperature in the dwelling is determined, in which the controller is a thermostat having feature type relay with hysteresis, the conditions related to the evolution of automatic control of the process are specified and the oscillation period of the control system is calculated. The automatic temperature control system model in individual dwelling is established using Simulink and its functioning by simulation in different representative situations is checked. The results of the simulation are compared with those obtained by calculation or they are used to determine the performance of the automatic control system

Keywords: Nonlinear automatic system, changeover controller, thermostat, relay with hysteresis, oscillation period of the control system, precision of the control, comfort in buildings, automation of heating installations

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #48, pp. 482-491
Special Issue: Multi-models for Complex Technological Systems
Editors: C. Ciufudean, F. Neri


Title of the Paper: Adaptive Predictive Control of Laboratory Heat Exchanger

Authors: Vladimír Bobál, Marek Kubalčík, Petr Dostál, Jakub Novák

Abstract: Heat exchange belongs to the class of basic thermal processes which occur in a range of industrial technologies, particularly in the energetic, chemical, polymer and rubber industry. The process of heat exchange is often implemented by through-flow heat exchangers. It is apparent that for an exact theoretical description of dynamics of heat exchange processes it is necessary to use partial differential equations. Heat exchange is namely a process with distributed parameters. It is also necessary to take into account its nonlinear and stochastic character. In spite of these facts, most of thermal equipment is controlled by digital modifications of PID controllers at present. This paper deals with identification of a dynamic behaviour of a through-flow heat exchanger and a design of a self-tuning predictive controller for its control. The designed controller was verified by a real-time control of an experimental laboratory heat exchanger.

Keywords: Model predictive control; Adaptive control; CARIMA model; ARX model; Least squares method; Process identification; Time-delay system; Heat exchanger

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #47, pp. 470-481
Special Issue: Multi-models for Complex Technological Systems
Editors: C. Ciufudean, F. Neri


Title of the Paper: An Approach of a Decision Support and Home Monitoring System for Patients with Neurological Disorders using Internet of Things Concepts

Authors: Iuliana Chiuchisan, Oana Geman

Abstract: The Internet of Things and information and CommunicationTechnologies applied in development of health care systems have reached an evolutionary process. This paper presentsthe development of an integrated intelligent system for Parkinson’s disease Screening.The Decision Support and Home Monitoring System aredesigned to assist and support physicians in diagnosis, home monitoring, medical treatment, medical prescriptions, rehabilitation and progress of his patients with Parkinson’s disease. The system will be extended in future research for other Neurological Disorders.This paper has an interdisciplinary character and includes areas such as e-Health, Internet of Things, Information and Communication Technologyand Artificial Intelligence with their application in medical domain.

Keywords: Health Monitoring, ExpertSystem, Internet of Things, Neurological Disorders, sensors, Artificial Intelligence

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #46, pp. 460-469
Special Issue: Multi-models for Complex Technological Systems
Editors: C. Ciufudean, F. Neri


Title of the Paper: Open Research Issues on Multi-Models for Complex Technological Systems

Authors: C. Ciufudean, F. Neri

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #45, pp. 457-459
Special Issue: Multi-models for Complex Technological Systems
Editors: C. Ciufudean, F. Neri


Title of the Paper: Telematics System for Increasing the Road Safety by Predicting the Occupancy of the Parking Areas on the Highways

Authors: Z. Lokaj, M. Srotyr, T. Zelinka, M. Jerabek, P. Kumpost

Abstract: The paper presents the telematics system which deals with a problem of lack of parking places for trucks. This problem can lead to very dangerous situation with improper parking of these trucks. The presented telematics system provides information about the predicted occupancy of parking areas along the highways. This information will help to optimize the usage of existing parking and it is useful for truck drivers in their decision making process of selection the appropriate place for parking, which will contribute to the fluency and safety of traffic as a whole.

Keywords: Electronic toll, parking, telematics, prediction

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #44, pp. 450-456


Title of the Paper: Assessing the Significance of Covariates in Output Oriented Data Envelopment Analysis with Two Stage Regression Models

Authors: Geraldo Da Silva E Souza, Eliane Gonçalves Gomes

Abstract: We propose alternative regression models to assess the effects of covariates in output oriented DEA scores. We use probability choice models combined with specifications related to the gamma and to the truncated normal families of distributions. These specifications imply different two stage regression models and alternative quasi maximum likelihood estimators. We apply these methods to assess the significance of technical effects – type of unit, processes improvement and technology impact – affecting DEA efficiency scores computed to agricultural research production in Brazil, measured through Embrapa. We favor models taking into account the whole sample of efficiency scores and not only the inefficient units. In our application we conclude that type of unit and processes improvement are significant effects, with the latter effect negatively associated to the efficiency of the units classified into the type of unit considered more efficient.

Keywords: Data envelopment analysis; Fractional regression models; Second stage DEA regressions; Bootstrap; Contextual variables; Agricultural research

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #43, pp. 440-449
Special Issue: Computational Techniques for Financial Applications
Editor: F. Neri


Title of the Paper: Optimization of a Vendor Managed Inventory Supply Chain Based on Complex Fuzzy Control Theory

Authors: Wenfeng Xie, Junhai Ma

Abstract: This paper recommends a scaling factors fine-tuning fuzzy logic control approach to optimize the dy- namic performance of one typical vendor managed inventory supply chain with automatic pipeline, inventory and order based production control system(VMI-APIOBPCS), based on complex fuzzy control theory. The first thing is to embed a dual-input single-output fuzzy logic controller into the system based on the classic control engineer- ing model. Then, the fuzzy inputs are given different weights by the way of scaling factors in order to optimize the system further. This methodology can make good use of managers’ experience accumulated in perennial practice and the managers’ rational estimation of different circumstances. Lastly, the simulation results show that, this method can improve the dynamic performance of VMI-APIOBPCS, especially the inventory dynamic behaviors.

Keywords: VMI-APIOBPCS, fuzzy logic controller, scaling factors, dynamic performance

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #42, pp. 429-439
Special Issue: Computational Techniques for Financial Applications
Editor: F. Neri


Title of the Paper: Mutual Funds Investment Strategies

Authors: Liběna Kantnerová

Abstract: The main purpose of this market survey was to compare bond, stock and mixed funds domiciled in the United States and selected countries of the European Union using of modern methods to give proof to people, that it is possible to increase their personal wealth by this way of the investment, which is now possible in the transition economies too. However, not everyone here knows the inherent risks involved in investing or how to strike a correct balance between risk taking and making a profit. In such situation, there is a possibility to ask professionals or consultants for their choice of what they believe to be the best investment alternative(s) or to determine own strategies in selecting risk level and attempt to find the best investment alternatives. In this paper the strategy based on the large collections of historical data sets (6,385 calculations were made) is shown.

Keywords: Mutual funds, investment, bond, stock

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #41, pp. 413-428
Special Issue: Computational Techniques for Financial Applications
Editor: F. Neri


Title of the Paper: The Environmental Kuznets Curve Effects of Energy Intensity and Emission Intensity on Optimizing Chinese Emission-reduction under the Constraint of Energy-Saving Policy

Authors: Kai Chang

Abstract: Using Environmental Kuznets Curve theory, this article examines the EKC effect of economic growth, energy intensity and carbon emission intensity on total quantity of carbon emission under the constraint of energy-saving policy. Optimizing energy-consuming structure and decreasing energy-consuming intensity can incline carbon emissions intensity and slow down the increasing speed of carbon emissions quantity. GDP per population and carbon emission intensity have significantly inverted U-shape EKC effect on carbon emission quantity at the confidence of 95% level from 2006 to 2015, accordingly optimizing energy-consuming structure and reducing energy intensity are helpful to incline carbon emission intensity and total quantity growth of carbon emission in eleventh-five and twelfth-five periods under the constraint of energy-saving and emission-reduction policy. However planning target of carbon emission intensity faces greater challenges and risks in the future, Chinese government should introduce a serial of energy-saving and emission-reduction advices and policies in the future.

Keywords: Environmental Kuznets Curve; energy-consuming structure; energy intensity; carbon emission intensity; energy-saving; emission-reduction

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #40, pp. 403-412
Special Issue: Computational Techniques for Financial Applications
Editor: F. Neri


Title of the Paper: The Effects of Private Placement on Long-Term Shareholder Wealth: Empirical Evidence from Chinese Listed Firms

Authors: Su-Sheng Wang, Min-Cheng Xu

Abstract: Cumulative abnormal return (CAR) is estimated as long-term shareholder wealth of private placement, and we propose empirical evidence of the effect of private placement on long-term shareholder wealth. Private placement of listed firms has significantly positive effect on long-term shareholder wealth. Cumulative abnormal return are positively related with offer type of private placement at the confidence of 95% level, and long-term shareholder wealth of private placement subscribed by non-cash assets is better than cash assets, cumulative abnormal returns of private placement are negatively related with the size of total assets and offer type at the significance of 95% level. On the basis of our empirical evidence, we propose the following advices, such as encouraging the subscription of stock shares of private placement, strengthening prominent assets quality of private placement, strengthening supervision and punishment of inner information transaction, and planning industry layout of corporate private placement etc.

Keywords: Private placement; cumulative abnormal return; shareholder wealth; offer type; listed firms

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #39, pp. 392-402
Special Issue: Computational Techniques for Financial Applications
Editor: F. Neri


Title of the Paper: Open Research Issues on Computational Techniques for Financial Applications

Authors: F. Neri

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #38, pp. 390-391
Special Issue: Computational Techniques for Financial Applications
Editor: F. Neri


Title of the Paper: Resources Optimization Handling Operations in Ports Multipurpose Terminal

Authors: Hasnaa Elmandili, Benayad Nsiri, Brahim Aghezzaf

Abstract: The multipurpose terminal in a port, is an intermodal platform that links the ship to the truck, or to another vessel in the case of transshipment. This paper presents an approach which aims to optimize the massive volumes processing of goods in order to arrive at a reduction in the time loading trucks, specifically; to reduce the time between the tare weighing and loaded truck. In order to achieve this optimization, we considered all the unexpected elements that can disrupt the supply chain or delay, and we also discussed the crew scheduling, being an important planning companies production [1]. Based on the Pareto principle as a tool for decision making, we were able to identify the causes that strongly influence the production and create more delays and congestion. Therefore, and based on the analysis of the stability and performance of system, we were able to highlight the most significant areas requiring the most attention to maximize production while minimizing resources and disrupting elements, and we were able to improve performance at a lower cost and without interrupting the activity.

Keywords: Queues trucks, weighing, performance measures, stability

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #37, pp. 378-389


Title of the Paper: Power Consumption Optimization Strategy of Cloud Workflow Scheduling Based on SLA

Authors: Yonghong Luo, Shuren Zhou

Abstract: Cloud computing, as a new model of service provision in distributed computing environment, faces the great challenge of energy consumption because of its large demand for computing resources. Choosing improper scheduling method to execute cloud workflow tends to result in the waste of power consumption. In order to lower the higher power consumption for cloud workflow executing, we propose a power consumption optimization algorithm for cloud workflow scheduling based on SLA (Service Level Agreement), which can reduce power consumption while meeting the performance-based constraints of time and cost. The algorithm first searches for all feasible scheduling solutions of cloud workflow application with critical path, then the optimal scheduling solution can be found out through calculating total power consumption for each feasible scheduling solution. The experimental results show that compared with traditional workflow scheduling algorithms based on QoS, the optimization algorithm proposed in this paper not only meets the constraints of time and cost defined in SLA, but also reduces the average power consumption by around 10%.

Keywords: Cloud computing, Cloud workflow, SLA, Critical path, Scheduling solutions, Power consumption optimization

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #36, pp. 368-377
Special Issue: Modeling, Simulation and Optimization in Electrical Systems
Editors: M. Panoiu, F. Neri


Title of the Paper: The Influence of Home Nonlinear Electric Equipment Operating Modes on Power Quality

Authors: Angela Iagar, Gabriel Nicolae Popa, Corina Maria Dinis

Abstract: The proliferation of nonlinear electronic loads is increasing day by day, and it can anticipate an influx of newer technologies in this domain in the future. This article focuses on the impacts of various home nonlinear electric equipment on the power quality of electrical distribution system. It was studied the influence of operating mode on the harmonic pollution generated by nonlinear home appliances operating in an isolated mode, using the CA 8334B three-phase power quality analyzer. Although home electric appliances are low power receivers, the cumulative effect produced by a large number of small harmonic sources can be substantial.

Keywords: Disturbances, harmonics, nonlinear equipment, operating mode, power quality

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #35, pp. 357-367
Special Issue: Modeling, Simulation and Optimization in Electrical Systems
Editors: M. Panoiu, F. Neri


Title of the Paper: Stability Enhancement of Multimachine Power System via New Coordinated Design of PSSs and SVC

Authors: E. S. Ali, S. M. Abd-Elazim

Abstract: In this paper, the assessment of new coordinated design of Power System Stabilizers (PSSs) and Static Var Compensator (SVC) in a multimachine power system via statistical method is proposed. The coordinated design problem of PSSs and SVC over a wide range of loading conditions is handled as an optimization problem. The Bacterial Swarming Optimization (BSO), which synergistically couples the Bacterial Foraging (BF) with the Particle Swarm Optimization (PSO), is employed to seek for optimal controllers parameters. By minimizing the proposed objective function, in which the speed deviations between generators are involved; stability performance of the system is enhanced. To compare the capability of PSS and SVC, both are designed independently, and then in a coordinated manner. Simultaneous tuning of the BSO based coordinated controller gives robust damping performance over wide range of operating conditions and large disturbance in compare to optimized PSS controller based on BSO (BSOPSS) and optimized SVC controller based on BSO (BSOSVC). Moreover, a statistical T test is executed to validate the robustness of coordinated controller versus uncoordinated one.

Keywords: SVC; PSSs; Multimachine Power System; Coordinated design; Bacteria Swarm Optimization; Statistical Assessment

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #34, pp. 345-356
Special Issue: Modeling, Simulation and Optimization in Electrical Systems
Editors: M. Panoiu, F. Neri


Title of the Paper: Harmonic Analysis in Functioning of an Electrothermal Installation with Electromagnetic Induction

Authors: Raluca Rob, Caius Panoiu, Anca Iordan

Abstract: Present paper studies the current harmonic spectrum generated by functioning of an electrothermal installation with electromagnetic induction. In order to analyze the electrical parameters that characterize the electrothermal installation functioning, measurement sets were accomplished using two methods. The first method consists in using a power and energy quality analyzer and the second method uses an acquisition system that contains an adapting interface and a data acquisition board connected to a computer. Paper contains also a simulation of the electrothermal installation functioning realized in PSCAD-EMTDC.

Keywords: Nonlinear load, harmonic analysis, LabVIEW, PSCAD-EMTDC

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #33, pp. 335-344
Special Issue: Modeling, Simulation and Optimization in Electrical Systems
Editors: M. Panoiu, F. Neri


Title of the Paper: Open Research Issues on Modeling, Simulation and Optimization in Electrical Systems

Authors: M. Panoiu, F. Neri

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #32, pp. 332-334
Special Issue: Modeling, Simulation and Optimization in Electrical Systems
Editors: M. Panoiu, F. Neri


Title of the Paper: The Unit Commitment Model for the Smart Grid

Authors: Tsetsgee Bayasgalan, Zagdkhorol Bayasgalan, Fabrizio Granelli, Francesco Muzi

Abstract: This mathematical model allows calculation of Unit Commitment (hereinafter - UC), providing for compliance with all technical limitations in the equipment state and electricity regime parameters to ensure the minimization of the total cost of electric power generation, as determined on the basis of notifications wholesale market participants on the composition and parameters of the generating equipment and filed with the participants of market price bids UC including the cost of power units. Finally, a dynamic model of investment for the smart grid is formulated, using UC technology.

Keywords: Electricity market, price, reactive power, unit commitment, prosumer, investment

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #31, pp. 322-331


Title of the Paper: An Hybrid Simulation Model to Support Decision Making in a Manufacturing Plant

Authors: Elpidio Romano, Clemente Cesarano, Domenico Iuliano

Abstract: The objective of the following paper is to determine a quantitative approach is generic enough and able to reproduce the logical steps for the construction of tools for decision support systems. The heart of the problem is the use of simulation techniques based on the concepts of System Dynamics. A further innovation is logged in the System Dynamics is to demonstrate how an efficient technique used in decision support systems, not only strategic, but also tactics. The paper will consist of five sections. First we will describe the main characteristics of the DSS and their role in decision-making. In the second section we focus will shift on the simulation, in particular, we highlight the differences between the various techniques and its role within the DSS . In the last few three sections it will be a case study, which will be exposed, as we were able to solve a problem using the System Dynamics. In particular, there will be an in-depth analysis of the problem. In the fourth will turn to an analysis of data and the description of the simulation model. Finally, in the fifth and final section, we discuss how the simulation was carried out and the results thereof, the latter will be analyzed and be put forward ideas for resolving the problem, the simulation will be performed again and will report the results of various scenarios.

Keywords: System Dynamics Simulation, Modeling and Simulation, Decision Support System

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #30, pp. 312-321
Special Issue: Advanced Control Methods: Theory and Application
Editor: F. Neri


Title of the Paper: Study on Online Active Balancing System of Rotating Machinery and Target Control Method

Authors: Pan Xin, Wu Hai-Qi, Gao Jin-Ji, Mu Yu-Zhe

Abstract: In order to reduce the unbalance vibration of the rotating machinery automatically during the work process, a new type of liquid-transfer active balancing system was proposed. In the system, a balancing disc divided into four liquid storage chambers was mounted on the rotor. When the unbalance response of the rotating machinery was higher than the limiting value, compressed air was injected to the target chambers and drove the balancing liquid to transfer between opposite chambers. Through the liquid redistribution in the balancing disc, a correction mass was generated to compensate the initial unbalance. The balancing device could be mounted both in the middle of rotor and at two ends. A target control method utilizing influence coefficients was also proposed to determine the balancing target and calculate the time of gas injection. Different control paths would generate different balancing effects, so simulations on several control paths were done to find the optimal solution. In addition, two experimental devices were constructed and active balancing experiments were carried out to verify the feasibility and availability of the balancing system.

Keywords: Rotating machinery; Unbalance vibration; Active balancing; Liquid transfer; Compressed air; Target control

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #29, pp. 302-311
Special Issue: Advanced Control Methods: Theory and Application
Editor: F. Neri


Title of the Paper: Adaptive Control of Nonlinear Processes Using Two Methods of Parameter Estimation

Authors: Petr Dostál, Vladimír Bobál, Jiří Vojtěšek, Bronislav Chramcov

Abstract: The paper deals with continous-time adaptive control of nonlinear processes. A nonlinear model of the process is approximated by a continuous-time external linear model. The parameters of the CT external linear model of the process are estimated in two ways. In the first case, direct estimation of the CT model is used. In the second case, the parameters of a corresponding delta model are recursively estimated. The control system structure with two feedback controllers is considered. The controller design is based on the polynomial approach. The resulting controllers ensure stability of the control system as well as asymptotic tracking of the step reference and step load disturbance attenuation. The adaptive control is tested on the nonlinear system represented by a model of two spheric liquid tanks in series.

Keywords: Adaptive control, continuous-time model, delta model, parameter estimation, polynomial method

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #28, pp. 292-301
Special Issue: Advanced Control Methods: Theory and Application
Editor: F. Neri


Title of the Paper: Robust Feedback Control Analysis of Magnetic Levitation System

Authors: Santosh Kr. Choudhary

Abstract: The Magnetic Levitation System is one of the important benchmark laboratory models for the design and analysis of feedback control systems. Robust feedback control for magnetic levitation systems is considered problematic due to the parametric uncertainties in mass, strong disturbance forces between the magnets and noise effects inflowing from sensor and input channels. Therefore robustness is a key issue in designing a control system for a magnetic levitation as the models are never 100 percent accurate and the uncertainties in the model must be accounted. In this paper, H1 robust control is investigated to bring the magnetic levitation system in a stable region by keeping a magnetic ball suspended in the air in the presence of uncertainties. The paper first presents the complete non-linear and linear mathematical models and then it adopts the mixed sensitivity design method for H1 controller synthesis. The simulation results show that the designed controller meets robustness against model uncertainties and permits very precise positioning of the levitated object.

Keywords: Modeling, Robust Control, Stability, Performance, Mixed Sensitivity, H1 Control, Robustness

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #27, pp. 285-291
Special Issue: Advanced Control Methods: Theory and Application
Editor: F. Neri


Title of the Paper: Classification of Faults in Nuclear Power Plant

Authors: M. Awadalla, A. K. Abdien, S. M. Rashad, A. Ahmed, D. Al Abri

Abstract: In this paper, the performance of traditional Support Vector Machine (SVM) is improved using Genetic Algorithm (GA). GA is used to determine the optimal values of SVM parameters that assure highest predictive accuracy and generalization ability simultaneously. The proposed scheme, called Support Vector Machine Genetic Algorithm (SVM-GA) Scheme, is applied on a beforehand data of a Nuclear Power Plant (NPP) to classify its associated faults. Compared to the standard SVM model, simulation of SVM-GA indicates its superiority when applied on the dataset with unbalanced classes. SVM-GA scheme can gain higher classification with accurate and faster learning speed.

Keywords: Support Vector Machine (SVM), fault classification, multi fault classification, Genetic Algorithm (GA), machine learning

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #26, pp. 274-284
Special Issue: Advanced Control Methods: Theory and Application
Editor: F. Neri


Title of the Paper: Open Research Issues on Advanced Control Methods: Theory and Application

Authors: F. Neri

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #25, pp. 272-273
Special Issue: Advanced Control Methods: Theory and Application
Editor: F. Neri


Title of the Paper: A New Case-Based Reasoning Method Based on Dissimilar Relations

Authors: Ning Xiong

Abstract: Learning relations of objects has recently emerged as a new promising trend for supervised machine learning. Case-based reasoning (CBR) is a subfield of machine learning, which attempts to solve new problems by reusing previous experiences. There is a close link between learning of relations and case-based reasoning in the sense that relation analysis between cases is a core task in a CBR procedure. Traditional CBR systems built upon similar relations can only use local information, and they are restricted by the similarity requirement, i.e., the availability of similar cases to new problems. This paper proposes a new CBR approach that exploits the information about dissimilar relations for solving new problems. A fuzzy dissimilarity model consisting of fuzzy rules has been developed for assessing dissimilarity between cases. Identifying dissimilar cases enables global utilization of more information from the case library and thereby contributes to the avoidance of the similarity constraint with a conventional CBR method. Empirical studies have demonstrated that fuzzy dissimilarity models can be built upon a small case library while still yielding competent performance of the CBR system.

Keywords: Case-based reasoning, similarity, dissimilarity, case library, fuzzy rles, fuzzy reasoning

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #24, pp.263-271


Title of the Paper: A Bus Transport Network Model based on Directed Random Walk

Authors: Xu-Hua Yang, Yong-Zhen Zhang

Abstract: On the basis of the analysis of the statistical data of bus transport networks of three major cities in China, we propose a novel evolution model of the bus transport network, which applies the strategy of random walk based on direction constrain matrix on two-dimensional grid and the mechanism of combining the geographical-close stations. We investigate some static properties, which include the topological structure and the spatial characteristics covering the neighboured road sections directions and the road section length distribution, and study the dynamic characteristic of the network traffic flow distribution analysed by the method of minimum spanning tree. The simulation results show that the statistical features of the model agree well with that of the actual networks.

Keywords: Bus transport network model, directed random walk, combining the geographical-close stations, direction constrain matrix

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #23, pp.252-262


Title of the Paper: Intelligent Algorithms Based on Data Processing for Modular Robotic Vehicles Control

Authors: Michail Papoutsidakis, Dimitrios Piromalis, Filippo Neri, Michel Camilleri

Abstract: One of the numerous implementations that the Intelligent Systems Lab of the Technological Institute of Piraeus, Greece, has recently accomplished is described in this paper. Within the area of hand-on autonomous robotics, the project combines computer science in modern wireless network protocol communication, with microcontroller-based intelligent motion-control tasks. The design of the presented pair of versatile robots is intended for a “predator and prey” application domain. Both robot designs are based on low cost and easy to find equipment, though modern and up-to-date technology. Two different multitasking and flexible algorithms are designed in order to investigate their performance and compare the outcomes. In particular, an intelligent algorithm based on data capturing and processing within a tolerable elapsed time is presented, with two different performance scenarios explained and compared in detail.

Keywords: Hand-on robotics, versatile platforms, wireless communication, intelligent algorithms

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #22, pp.242-251


Title of the Paper: Almost Periodic Solution of Neutral-Type Neural Networks with Time Delay in the Leakage Term on Time Scales

Authors: Meng Hu, Lili Wang

Abstract: In this paper, based on the theory of calculus on time scales, by using the exponential dichotomy of linear dynamic equations and Banach’s fixed point theorem as well as some mathematical methods, some suffi- cient conditions are obtained for the existence and exponential stability of almost periodic solution of neutral-type neural networks with time-varying delay in the leakage term on time scales. These results have important leading significance in designs and applications of such neural networks. Finally, an example is given to illustrate the feasibility and effectiveness of the results.

Keywords: Almost periodic solution, Exponential stability, Neutral delay neural networks, Leakage term, Time scale

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #21, pp.231-241


Title of the Paper: Sequential Use of Ordinal Multicriteria Methods to Obtain a Ranking for the 2012 Summer Olympic Games

Authors: Silvio Figueiredo Gomes Júnior, João Carlos Correia Baptista Soares De Mello, Lidia Angulo Meza

Abstract: There is no official method to establish a final ranking for the Olympic Games. It is usual to rank the participant countries in these games in accordance with the number of medals they have won using a lexicographic multicriteria method. However, this does not take into account the fact that the various sports may be of different importance. This work proposes a ranking model to eliminate those drawbacks. Using the results of the 2012 Summer Olympic Games for the model, firstly, we use a Lexicographic multicriteria method in each sport. After obtaining a ranking for each and all sports, we build a general ranking by aggregating all the sports using a Bordamulticriteria method.

Keywords: Multicriteria, Borda method, Lexicographic method, Olympic Games

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #20, pp.223-230


Title of the Paper: Assembly Variation Analysis of Three Dimensional Compliant Sheet Metal Parts Under an Over-located Condition

Authors: Yu Kui-Gang, Yang Zhi-Hong

Abstract: An over-located condition is very common for most automotive compliant sheet metal assembly process. To accurately analyze the assembly variation can help make an optimization design of assembly process. The existed assembly variation modeling methods based rigid and compliant parts can not fully exactly and rapidly analyze the assembly variation. This paper proposes a new assembly variation modeling method of compliant sheet metal parts to solve these limitations. This proposed new assembly variation modeling method of compliant sheet metal parts combines the rigid and compliant characteristics of sheet metal parts. An assembly variation modeling method of a rigid part under a 3-2-1 locating layout is given using its spatial motion relationship when some fixture locating variation happens. Based on this method, a multi-divided rigid area assembly variation modeling method can be obtained according to part’s bending deforming principle during the locating process. A simplified stiffness solving method for the welding spring-back is given, and an assembly variation modeling method for the welding area of parts is presented using the stiffness comparison of welding parts. Then the assembly variation of measurement points in welding area and out of welding area can be obtained according to the proposed method. A case of two compliant sheet metal parts is used to demonstrate and validate the proposed method. The results show that the proposed method can achieve a rapid and accurate assembly variation analysis through the comparison with the existed rigid and compliant sheet metal assembly variation modeling methods. The proposed assembly method can be used to predict the assembly quality of compliant sheet metal parts, and then an optimization design of the assembly process can be obtained. This provides good help for engineers to design and analyze the assembly problems of automotive body.

Keywords: Automotive Body, Compliant Sheet Metal, Assembly Variation, Assembly modeling, over location

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #19, pp.213-222


Title of the Paper: An Algorithmic Approach to Parameter Selection in Machine Learning using Meta-Optimization Techniques

Authors: Michel Camilleri, Filippo Neri, Michalis Papoutsidakis

Abstract: The process of identifying the optimal parameters for an optimization algorithm or a machine learning one is usually costly, involves the search of a large, possibly infinite, space of candidate parameter sets, and may not guarantee optimality. Various attempts have been made to automate this process. Our work attempts to explore this research area further by analyzing the behavior of a simple genetic algorithm when used to find the optimal parameter setting for an ID3 like learner operating on a selected dataset.

Keywords: Metaheuristics optimization, machine learning

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #18, pp.203-212


Title of the Paper: Current Sensorless Model Predictive Torque Control Based on Adaptive Backstepping Observer for PMSM Drives

Authors: Qingfang Teng, Jianyong Bai, Jianguo Zhu, Youguang Guo

Abstract: A novel adaptive backstepping observer is proposed and model predictive torque control (MPTC) strategy is considered for three-phase permanent magnet synchronous motor (PMSM) drives without any current sensor. Generally, instantaneous stator currents are required for successful operation of MPTC. If the stator current sensors fail, the most common technique for reconstructing stator currents mainly focuses on using information from a single current sensor in the DC-link of an inverter. Nevertheless, the existence of immeasurable regions in the output voltage hexagon results in that the three-phase currents will not be reliably detected since one or more of the active state vectors are not applied long enough to insure accurate measurements. In addition, the technique may suffer from the very noisy of DC-link current feedback. To avoid these drawbacks, making use of the technique of adaptive backstepping, a novel observer is proposed. The designed observer can be capable of concurrent estimation of stator currents and resistance under the assumption that rotor speed and inverter output voltage as well as DC-link voltage are available for measurement. Stability and convergence of the observer are analytically verified based on Lyapunov stability theory. In order to reduce the torque & flux ripples and improve drives control performance, MPTC strategy is employed. The proposed algorithm is less complicated and its implement is relatively easy. It can ensure that the whole drives system achieves satisfactory torque & speed control and strong robustness. Extensive simulation validates the feasibility and effectiveness of the proposed scheme.

Keywords: Model predictive torque control, Permanent magnet synchronous motor, Sensorless, Adaptive backstepping observer

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #17, pp.187-202


Title of the Paper: Optimal Placement of Sensor Network Hosted in Public Transport Vehicles for Environmental Monitoring

Authors: Alessandro S .Santos, Leopoldo R. Yoshioka, Claudio L. Marte, Jorge P. Cintra, Caio Fontana

Abstract: Smarter cities provide sustainable economic growth and prosperity to their citizens. Their leaders should have the tools to analyze municipality data from its environment to support best decisions, anticipating problems to resolve them proactively and to coordinate resources to operate effectively. For this reason, smart cities become sensitive, when instrumented with technological framework to collect environmental information. Providing a comprehensive view of the city requires a large number of sensors, in addition to a constant increase in order to follow the growth of the city. However, if the sensors are hosted on public transportation vehicles, the route is verified to cover the main populated areas, with a dynamic principle of growth, which adapts to the development of the city. Taking advantage of these principles, this paper proposes the best placement for the components of sensor network for environmental monitoring, which is maintained by the information from the sensors embedded in buses that capture data along their journey. Different communication patterns are simulated using Realistic mobility models for bus corridors in S˜ao Paulo city to define the best positioning to better disseminate the information collected.

Keywords: GIS, ITS, WSN, environment, gas emissions

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #16, pp.177-186


Title of the Paper: Study on Properties of Traffic Flow on Bus Transport Networks

Authors: Xu-Hua Yang, Jiu-Qiang Zhao, Guang Chen, You-Yu Dong

Abstract: In this paper, we investigate the statistical properties of traffic flow on the urban bus transport network (BTN) in the city Hangzhou of China. To alleviate the congestion and simulate properties of traffic flow on BTN, we construct a model using Hangzhou BTN which considers the short walking distance between two nearby stations and the maximum transfer frequency. We select four parameters to evaluate the characteristics of traffic flow on the BTN. We find that the results obtained from the simulation model are similar with the theoretical model irrespective of congestion. If congestion is considered, the situation is different. Besides, if we increase the departure frequency of the buses with some large passenger flow lines, it will lead to the critical packets generating rate increasing on the whole network tremendously. It indicates that buses with larger passenger flow are more important in the BTN, so we can increase the departure frequencies to improve the network performance. Our results provide a method to minimize the congestion on BTN.

Keywords: BTN, traffic flow, passenger flow, relieving congestion

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #15, pp.164-176


Title of the Paper: Analytic Local Linearization Particle Filter for Bayesian State Estimation in Nonlinear Continuous Process

Authors: D. Jayaprasanth, Jovitha Jerome

Abstract: State estimation is a prerequisite for monitoring, control and fault diagnosis of many processes. Dynamic model based state estimation techniques are used for monitoring the state variables. Particle filter have been widely used to estimate the state of nonlinear and non-Gaussian system. Particle filters require a proposal distribution but the choice of proposal distribution is the key design issue. In this paper, the extended Kalman filter (EKF) which is based on analytic local linearization is used to generate a proposal distribution for the particle filter. The efficacy of this local linearization particle filter (LLPF) is demonstrated via application to a simulated nonlinear continuous stirred tank reactor (CSTR) and the results are compared with the sampling importance resampling (SIR) particle filter.

Keywords: State estimation, Particle filter, Non-Gaussian, Proposal distribution, Local linearization particle filter, Sampling importance resampling

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #14, pp.154-163


Title of the Paper: Price Discount of Private Equity Placement and Interests Transferring Subscripted by Larger Shareholders in China

Authors: Su-Sheng Wang, Min-Cheng Xu

Abstract: We examine the effects o subscription behavior and wealth transferring controlled by larger shareholders on price discount of private placement. Price discount of private placement and wealth transferring effect exhibits a significant trend when larger shareholders subscribe more private placement shares. Shares proportion subscribed by larger shareholders, shares size of private placement and total assets size are positively related with price discount of private placement at the 5% confidence level, Interests transferring and share-holding increase before and after private placement are positively related with price discount of private placement at the 10% significance level, larger shareholders have strong incentive to transfer wealth from medium-small shareholders.

Keywords: Private placement, price discount, larger shareholders, interests transferring

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #13, pp.144-153


Title of the Paper: Hindi Vowel Classification using GFCC and Formant Analysis in Sensor Mismatch Condition

Authors: Astik Biswas, P. K. Sahu, Anirban Bhowmick, Mahesh Chandra

Abstract: In the presence of noise and sensor mismatch condition performance of a conventional automatic Hindi speech recognizer starts to degrade, while we human being are able to segregate, focus and recognize the target speech. In this paper, we have used auditory based feature extraction procedure Gammatone frequency cepstral coefficient (GFCC) for Hindi phoneme classification. To distinguish vowels from each other, we have analyzed frequency response curves of each vowel. Here we propose a new feature extraction technique by taking first three formant frequencies of each vowel along with their cepstral features to increase the phoneme classification performance in noisy condition. The classification performance achieved by the proposed features is compared with the standard MFCC and GFCC based features using a continuous density hidden Markov model (CDHMM) with a mixture of Gaussian distributions. To evaluate robustness of these features in noisy environment, the NOISEX database is used to add different types of noise into vowels in the range of 0 dB to 20 dB. Furthermore robustness of new set of feature has been evaluated in the sensor mismatch condition. The classification results show that under noisy background as well as the sensor mismatch condition the proposed technique achieves a better performance over standard cepstral based features.

Keywords: MFCC, GFCC, Formant, HMM, Phoneme Classification

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #12, pp.130-143


Title of the Paper: Convenience Yields and Options Value of Exchanging Different-Maturity Futures Contracts Implied from Emissions Allowances Futures Market

Authors: Kai Chang

Abstract: Our results find that futures contracts with different maturities for emissions allowances exhibit a significant cointegration relationship by using two-step EG model, similar market information has a convergent effect on prices spreads of futures contracts with different maturities. Convenience yields implied from the futures markets exhibit a significant options property. Convenience yields are call or put options, based on extending exchange options pricing model, market participants flexibly optimize assets portfolio sizes between the nearby and distant futures contracts using the options property of convenience yields for emissions allowances, and then they can achieve excess market investment revenues.

Keywords: Emissions allowances, cointegration, futures prices spreads, convenience yields, different-maturity futures, options property, investment revenues

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #11, pp.116-129


Title of the Paper: An Experimental Study of a Lane Departure Warning System Based on the Optical Flow and Hough Transform Methods

Authors: Gregory Taubel, Rohit Sharma, Jiann-Shiou Yang

Abstract: The use of rumble strips on roads can provide drivers lane departure warning (LDW). However, rumble strips require an infrastructure and do not exist on a majority of roadways. Therefore, it is very desirable to have an effective in-vehicle LDW system to detect when the driver is in danger of departing the road and then triggers an alarm to warn the driver early enough to take corrective action. This paper presents the development of an image-based LDW system using the Lucas-Kanade (L-K) optical flow and the Hough transform methods. Our approach integrates both techniques to establish an operation algorithm to determine whether a warning signal should be issued based on the status of the vehicle deviating from its heading lane. The L-K optical flow tracking is used when the lane boundaries cannot be detected, while the lane detection technique is used when they become available. Even though both techniques are used in the system, only one method is activated at any given time because each technique has its own advantages and also disadvantages. The developed LDW system was road tested on several rural highways and also one section of the interstate I-35 freeway. Overall, the system operates correctly as expected with a false alarm occurred only roughly about 1.18% of the operation time. This paper presents the system implementation together with our findings.

Keywords: Lane departure warning, Lucas-Kanade optical flow, Hough transform

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #10, pp.105-115


Title of the Paper: High-Order Sliding Mode Design Based on Geometric Homogeneity and Fast Terminal Sliding Mode

Authors: Weiqiang Tang, Zhiyuan Rui, Jinghua Zhang

Abstract: A high-order sliding mode control algorithm is proposed for nonlinear uncertain systems based on geometric homogeneity and fast terminal sliding mode. Homogeneity approach used to stabilize the nominal system, and fast terminal sliding mode used to reject the uncertainty, are applied to constructing the controller. High-order sliding mode is established by the proposed algorithm, the boundary of the uncertainty is not required, and the global robustness is achieved. Additionally, the resulting control law is continuous, which is beneficial to reduce the chattering effect. Simulation results of the proposed algorithm confirm the effectiveness.

Keywords: Nonlinear Systems, High-order Sliding Mode, Geometric Homogeneity, Fast Terminal Sliding Mode, Robustness

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #9, pp.96-104


Title of the Paper: A Dimension-Oriented Theory of Requirements Space in Business Information Systems

Authors: Arbi Ghazarian

Abstract: Low process predictability and, consequently, excessive rework are salient characteristics in many of to- day’s commonly-used software development life cycle processes, making it exceedingly difficult for development organizations to deliver quality software systems within economically and technically reasonable frames. This paper advances the argument that, as a solution to this problem, building software engineering theories provides a fruitful avenue to increasing the predictability of the various software life cycle processes. Accordingly, we intro- duce a reusable process design methodology that relies on building software engineering theories with predictive power to inform the design of more predictive and, therefore, effective software processes. The usefulness of the proposed methodology is demonstrated through an expansive case study, which aims to design a more effective requirements engineering method for the domain of business information systems. We report results from several empirical studies to support the arguments put forward in this paper.

Keywords: Requirements Engineering, Theory Building, Process Design, Dimension Orientation, Business Information System, Domain Engineering

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #8, pp.76-95


Title of the Paper: The Study on the 3E System Coordination Evaluation: Evidence from China

Authors: Zhanglan Wu, Jie Tang, Dong Wang

Abstract: Since the introduction of economic reforms in 1978, China has become the world's fastest-growing major economy. But rapid economic development accelerates the process of urbanization, meanwhile resources and environment problems appear. Now, China has given energy and environment high priority in its economic stimulus package, drawing on goals set for the 12th Five Year Plan. The overall approach to environmental protection should continue to be improved during the next few years of recovery period. All of these goals are based on the development of energy, economy and environment (3E). Under this background, implementing the scientific concept of development, and promoting harmonious development among energy, economy and environment is the only choice for achieving sustainable development. The thesis studies the relationship among energy, economy and environment, and then combining the requirements of harmonious development of 3E system, proposes the concept of the coordinative development of 3E system. It is hoped to analyze the 3E coordination situation of 30 provinces of China to promote the sustainable development of 3E system. For this purpose, basing on the study of relevant indicator systems, following the criteria to select assessment indicator based on the system function and efficiency, the text builds 3E coordination degree indicator system framework including 33 specific indicators. In the next, it establishes a coordination evaluation model for 3E system based on the method of Canonical Correlation analysis and Coupling Coefficient Model in physics and estimates 3E coordination degree of 30 provinces in China, dividing them into three different categories: moderate disorder, mild disorder and barely coordination. Based on above results, the thesis finds a new way to promote the coordinative development of 3E system.

Keywords: Energy-Economy-Environment System, 3E, Coordination Degree, Canonical Correlation Analysis, Comprehensive Evaluation, China

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #7, pp.65-75


Title of the Paper: Stability Analysis of a Clamped-Pinned Pipeline Conveying Fluid

Authors: B. Mediano-Valiente, M. I. Garcia-Planas

Abstract: Increasing advances in materials engineering and cost reduction in their testing have lead to the study of the stability of vibration of pipes conveying fluid an important problem to deal with. Currently, such analysis is done either by means of simulation with costly specialized software or by making laboratory tests of the selected material. One of the main issues with the last process is that if appears any trouble on the material selection, it is necessary to restart all the process, and it is happening each time there is a mistake on the material selection. In order to avoid such costly tests, a general mathematical description of the dynamic behavior of a clamped-pinned pipeline conveying fluid is presented. The system stability has been studied by means of the eigenvalues of a Hamiltonian linear system associated. From this analysis, characteristic expressions dependent on material constants have been developed as inequalities, which ensure the stability of the material if it matches all expressions. Finally, some specific materials are introduced as study cases to compare the mathematical description proposed with the results obtained from specialized software as ANSYS, in order to validate the results.

Keywords: Stability, eigenvalues analysis, pipe conveying fluid, material selection

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #6, pp.54-64


Title of the Paper: Stability Analysis of Second-Order RTD-Based CNN

Authors: Yunquan Ke, Chunfang Miao

Abstract: This paper is concerned with the problem of global exponential stability for the second-order RTDbased CNN systems. By homeomorphism mapping, applying the fundamental solution matrix of system, some sufficient conditions that ensure the existence and exponential stability of systems. Finally, two examples are given to illustrate the effectiveness of the results.

Keywords: Second-order RTD-based CNN, Homeomorphism mapping, Fundamental solution matrix, Equilibrium point, Exponential stability

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #5, pp.43-53


Title of the Paper: Automatic Regulating Time Series for Multivariable Processes with Specifications on Rise Times

Authors: Tain-Sou Tsay

Abstract: In this paper, an auto-tuning method is proposed for multivariable processes. The considered system is first estimated by use of an on-line identification method, and then low-interacting precompensating matrix is applied , and finally nonlinear automatic regulating time series is applied to get the wanted response times. The performance of the compensated systems can be evaluated by wanted rising time and low-interacting characteristics. Three numerical examples give the proposed method provides better performance and less interaction effects than those of other four mentioned on-line computing and PI controlling methods.

Keywords: Auto-tuning, Low-interaction, Multivariable processes

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #4, pp.33-42


Title of the Paper: Asymptotic Properties of Zero Dynamics of Multivariable Sampled-Data Models with Time Delay

Authors: Cheng Zeng, Shan Liang, Shaojun Gan, Xueli Hu

Abstract: It is well-known that the existence of unstable zero dynamics is recognized as a major barrier in many control systems, and deeply limit the achievable control performance when controlling a system. When a continuous-time multivariable system with at least one of relative degrees greater than two is discretized in the case of the time delay and a zero-order hold (ZOH) assumption, at least one zero dynamics of the resulting sampled-data model is obviously unstable for sufficiently small sampling periods. Thus, attention is here focused on continuous-time multivariable systems with time delay, and some of the relative degrees are one and the rest are two. This paper investigates the asymptotic properties of zero dynamics for the sampled-data models corresponding to the continuous-time multivariable systems mentioned above, and further derives an approximate expression of the zero dynamics in the form of a power series expansion up to the first order term of sampling period. Meanwhile, the condition for obtaining stable zero dynamics for sufficiently small sampling periods is also presented. The ideas presented here generalize well-known results from the delay-free multivariable control system to the time-delay case.

Keywords: Discrete-time model, Zero dynamics, Zero-order hold, Time discretization, Taylor method, Time delay, Asymptotic properties, Stability conditions

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #3, pp.23-32


Title of the Paper: A Matrix Transition Oriented Net for Modeling Distributed Complex Computer and Communication Systems

Authors: Anthony Spiteri Staines, Filippo Neri

Abstract: This work introduces a new type of a Petri net. This is called a Matrix Transition Net. The Matrix Transition net deals with the modeling of modern distributed complex computer and communication systems. The major features are that for the inputs and outputs of this net, matrices are used instead of places as in standard place transition Petri nets. This increases the modeling power and expressivity of the net. The structures presented are capable of representing complex systems and their dynamic modeling concepts. The main features of a Matrix Transition net are explained using several examples and definitions. A toy case study of a small grid sequential system illustrates the potential use of this modeling notation. Some results are discussed.

Keywords: Complex Systems, Matrices, Matrix Transition Net, Modeling, Networks, Petri nets

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #2, pp.12-22


Title of the Paper: The Dynamic Relationship between Volatility, Volume and Open Interest in CSI 300 Futures Market

Authors: Wang Susheng, Yu Zhen

Abstract: This paper investigates the dynamic relationship between volatility, volume and open interest in CSI 300 futures market using asymmetric GARCH model, Granger causality test, variance decomposition and impulse response function based on 1-min data. ARMA-EGARCH model is employed and find that both contemporaneous and lagged volume is positively related to volatility, and current open interest has positive effect on volatility while lagged open interest has negative effect. Furthermore, volume is positively related to volatility and open interest is negatively linked to volatility when take (lagged) volume and (lagged) open interest into account simultaneously. The Granger causality test indicates that there is unidirectional Granger causality from return to open interest, whereas there is bidirectional Granger causality between open interest (return) and volume. Variance decomposition and impulse response function reveal that most variance of return, volume or open interest is triggered by itself. These results imply that volume and open interest are complementary in information dissemination, while volume measures the trade activity and open interest indicates market depth.

Keywords: Index futures, open interest, volatility, EGARCH, VAR, Granger causality test, high-frequency data, time series forecasting

WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #1, pp.1-11


 

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