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Applied Computational Intelligence and Informatics (SACI), 2013 IEEE 8th International Symposium on

Date 23-25 May 2013

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Displaying Results 1 - 25 of 92
  • Adaptive online learning environment and web usage mining

    Page(s): 61 - 66
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (554 KB) |  | HTML iconHTML  

    The realization of an adaptive online learning environment presupposes the full consideration of the existing knowledge of the individual and their learning characteristics both in the area of course as well as learning management. Therefore during the learning process diagnostic and formative control, evaluation and assessment, with web usage mining as an efficient means, has a special significance. Educational technology and multimedia, a course in technical teacher training, formed the basis of the study. By the application of web mining methods we were trying to find an answer to the question whether any conclusions from the patterns of online learning activities were to be drawn as to preferred learning characteristics, methods and strategies and also whether the major variables of online learning behavior were possible to define. View full abstract»

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  • Moodle in higher education and at Óbuda university

    Page(s): 67 - 71
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (391 KB) |  | HTML iconHTML  

    Living in the 21st century, we are exposed to vast amounts of information. ICT is becoming necessary for our everyday lives, we require the need for accessing our personal documents anywhere and anytime. This article is concentrating on the importance of unification in higher education, in terms of finding the most effective way for our students to access the curriculum. Here are presented the strategical steps needed for the acceptance of tutors, but also students' approach of this new teaching method. I will present the importance of incorporating in our teaching methods, the virtual learning environment, like MoodIe. View full abstract»

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  • New approximations for DQPSK transmission bit error rate

    Page(s): 73 - 77
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (250 KB) |  | HTML iconHTML  

    In this paper our aim is to use some tight lower and upper bounds for the differential quaternary phase shift keying transmission bit error rate in order to deduce accurate approximations for the bit error rate by improving the known results in the literature. The computation of our new approximate expressions are significantly simpler than that of the exact expression. View full abstract»

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  • Sampling bessel functions and bessel sampling

    Page(s): 79 - 84
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (266 KB) |  | HTML iconHTML  

    The main aim of this article is to establish summation formulae in form of sampling expansion series for Bessel functions Yv, Iv; and Kv, and obtain sharp truncation error upper bounds occurring in the Y-Bessel sampling series approximation. The principal derivation tools are the famous sampling theorem by Kramer and various properties of Bessel and modified Bessel functions which lead to the so-called Bessel sampling when the sampling nodes of the initial signal function coincide with a set of zeros of different cylinder functions. View full abstract»

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  • Mathematical expressiveness for computational network interaction

    Page(s): 85 - 88
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (621 KB) |  | HTML iconHTML  

    In this paper, the expressive nature of mathematical understanding is presented with its applications in the domains of computer networks and systems definition. Interaction at the level of communication, which must be understandable in an agreed upon manner, is formulated with its adjacency to technical requirements, that are all computational engineered technology, which is enumerated in section two. Needing a careful planning, that is confined by the reasoning process of abstracting the computing form and expressing it in the real world application form, interactive belief is inferentially deduced, from logical relations that clarify practical realization of the concept theory, which is depicted in sections three and four, while section five, gives the concluded remarks. View full abstract»

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  • A contribution to modeling sensor communication networks by using finite-source queueing systems

    Page(s): 89 - 93
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (504 KB) |  | HTML iconHTML  

    In this paper we introduce a finite source retrial queueing model to investigate the performance characteristics of the wireless transmission problem in sensor networks. We divide the sensors into two classes. The first one is the “Emergency” class, which performs the notification of special emergency situations (eg. fire alarms). The second one is the “Normal” class, which measures and transmits environmental data (eg. temperature). For the performance evaluation of the wireless transmission we study and compare two cases: In the first model the RF transmission possibility will be available randomly for the sensor nodes (Non Controlled case) and in the second model the RF transmission requests coming from the emergency class, will access the wireless channel immediately (Controlled case). Our main interest is to give the main steady-state performance measures of the system computed by the help of the MOSEL tool. View full abstract»

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  • A new method for minimization of real Lipschitz functions

    Page(s): 95 - 98
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (230 KB) |  | HTML iconHTML  

    We develop and analyze a new algorithm for global minimization of real Lipschitz functions. The proposed method uses a double bisection strategy and an always convergent solver of nonlinear equations. The computer implementation and performance are investigated in detail. View full abstract»

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  • Design and verification of the industrial robot effector with use of rapid prototyping method

    Page(s): 99 - 102
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1973 KB) |  | HTML iconHTML  

    Designing of effectors of industrial robots is a creative constructional activity, where the engineering experiences and thinking can be support by use of created prototypes. Among the effective ways of prototype production of robotic effectors there are Rapid Prototyping methods. Paper describes the creation process of a simple effector prototype in order to realize the verification of its dimensions. View full abstract»

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  • Design and experiments for model-free PI control of DC drives

    Page(s): 103 - 108
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (438 KB) |  | HTML iconHTML  

    This paper proposes the model-free PI control design for direct current (DC) drives. A model-free PI control system structure is considered in the framework of reference tracking control using a first-order nonlinear dynamic system as a local approximation of the process model. The derivatives are estimated numerically using a Savitzky-Golay filter that solves the differentiation and also the smoothing. The model-free PI control system structure is applied to the speed control of a laboratory nonlinear DC drive as a representative mechatronics application. The experimental results for three different reference input shapes show the very good performance in model reference tracking, reference trajectory tracking and numerical differentiation. View full abstract»

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  • Theory and practice in multi-discipline representations for engineering education

    Page(s): 109 - 113
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (274 KB) |  | HTML iconHTML  

    As a continuous development of former results in teaching of engineering using advanced computer systems, this paper is an attempt to contribute to education of engineers by an analysis and discussion of multi-discipline representation of theory and practice. A new method is introduced, explained and discussed to integrate a formerly published course modeling and a course model evaluation method with the product modeling. The purpose of this integration is the communication of demand for examples supporting given course content and on the other hand, demand for course content needed by the definition of given product objects in the product model. Integration is realized through a new element called as issue distributor. Product modeling which is applied at recent advanced product lifecycle management is considered. View full abstract»

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  • Approximation properties and continuous differentiability of a class of SISO fuzzy systems

    Page(s): 11 - 16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (907 KB) |  | HTML iconHTML  

    The goal of the present paper is to investigate approximation and smoothness properties of Larsen type single input single output (SISO) fuzzy systems, that is, fuzzy logic systems using the maximum as aggregation for the individual rule outputs, product (Goguen) t-norm as the conjunctive operator and center of gravity defuzzification. We prove that the function providing the output of the above considered Larsen type fuzzy system is capable of approximating any continuous function. Also, it is continuously differentiable under very relaxed conditions as e.g. continuous differentiability of the antecendents except at their core, and continuous differentiability of the consequences of fuzzy rules except at their core and the enpoints of their support. We show practical examples regarding the approximation and smoothness of the Larsen type operators, showing also by an example that the conditions on the antecedent part cannot be in general weakened further without loosing continuous differentiability. The present paper provides a theoretical background for claims in literature stating that the output of a fuzzy control system of this type is smooth. View full abstract»

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  • 2-DOF control solutions for an electric drive system under continuously variable conditions

    Page(s): 115 - 120
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (621 KB) |  | HTML iconHTML  

    The paper deals with control solutions for an electric drive system where the reference and the load disturbance are continuously variable and the plant has variable parameters. The main variable parameter of the process is the moment of inertia in the context of a system that corresponds to laboratory equipment. Using a detailed mathematical model of the process and the particular features of the drive system, the paper proposes variable control structures with switching between three or more control algorithms. This solution is preferred instead of a continuously parameter adaptation due to its simplicity in adaptation to the representative operating points. The control design results are focused on development of two-degree-of-freedom PID control solutions. The control solutions are applied in case studies based on digital simulation but, considering fixed values of the process parameters, they can be easily verified on laboratory equipment [1]. The proposed control solutions have a large applicability in the field of mechatronics systems, where such applications with variable moment of inertia and control system inputs are always present. View full abstract»

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  • Urban traffic congestion prediction based on routes information

    Page(s): 121 - 126
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (809 KB) |  | HTML iconHTML  

    Traffic congestion represents an important problem in crowded urban areas. It leads to travel delays, increased fuel consumption and higher level of pollution. This paper proposes a technique for congestion prediction in urban traffic. It uses event based routes selection and relies on information collected by a sensor network. Simulation experiments with more than 50 traffic patterns over eight crowded intersections demonstrate promising results. View full abstract»

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  • Performance enhancement of galvanometer scanners using extended control structures

    Page(s): 127 - 130
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (819 KB) |  | HTML iconHTML  

    The galvanometer-based scanners (GS) are optomechatronic devices with a wide range of applications, from industrial to biomedical imaging. They are driven with periodical and time variable signals - especially sawtooth, triangular, sine wave or signals with special variations. We approach in this paper the rejection of the effect of disturbances in order to improve the tracking performances of the GS. The control solution proposed in the paper is based on the extension of the existing control structure with an additional loop, with an additional controller PID-Ll type, which will ensure better speed response and good immunity to constant disturbances which can affect the servo system. View full abstract»

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  • Emulation of a highway bottleneck using leader-follower formation control

    Page(s): 131 - 136
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (744 KB) |  | HTML iconHTML  

    A bottleneck on a highway is a daily occurring phenomenon. Everyday car accidents, long queues and stop-and-go waves are introduced by the driver's behavior. In this work, an effective control algorithm for emulating a bottleneck situation on a highway is presented using a set of mobile robots that can be used to educate young control engineers. We use a combination of i) an in-line leader-follower formation and ii) a formation with two followers for one leader i.e. a triangular formation. Both formations are implemented using distance and angle measurements from image processing algorithms and speed measurements from optical encoders. A cascade PI-P controller is used to stabilize the system. The challenge of the current implementation stands in the fact that there is no communication between the robots. View full abstract»

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  • Estimation of illuminance sensor positions and improvement of energy efficiency in the distributed control lighting system

    Page(s): 137 - 142
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (748 KB) |  | HTML iconHTML  

    We propose a distributed control lighting system (hereafter, Intelligent Lighting System) for achieving personal illuminance. The Intelligent Lighting System changes the luminances for individual lights based on a self-distribution algorithm. It learns the influence of lights on illuminance sensors through regression analysis and controls the lighting to achieve the required illuminance in the required places. When the numbers of lights and illuminance sensors increase, however, an error in the regression coefficient becomes larger; accordingly, the influence of the lights on illuminance sensors may not be correctly estimated. To solve this problem, this study proposes a method for correcting the results of the learning of the influence of the lights on illuminance sensors by estimating the illuminance sensor positions. With the proposed method, we estimate the illuminance sensor positions and determine the distances between the individual lights and illuminance sensors to correct the results of the learning according to the distances. The method proposed in this study enables the illuminance sensor positions to be estimated with an error of less than 1 m. Moreover, the method makes it possible to appropriately control lighting luminance compared with conventional method, achieving an improvement in illuminance convergence speed as well as a 5% reduction in power consumption. View full abstract»

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  • Distributed flow controller for mobile ad-hoc networks

    Page(s): 143 - 146
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (310 KB) |  | HTML iconHTML  

    A mobile ad-hoc network (MANET) is a self-configuring, self-organized, and infrastructureless network of mobile stations, connected by radio links. The challenge to ensure network's operation means to continuously maintain updated information about the network's topology, the characteristics of the radio links and security at all levels. Due to the decentralized nature of the network, this is quite difficult. Distributed coordination and control of MANET has always been a challenge for network designers. This paper presents a proposal for a distributed flow controller, a new approach regarding the network architecture for MANET. From the perspective of the current approaches, the entire network has to be treated as a whole, from the point of view of the management, control and data plane. Our proposed approach, based on the paradigm of SDN (Software Design Network), implies a clear separation between the data plane and the control plane. This separation leads to greater flexibility on the control network, to the possibility of dynamic reconfiguration, and to the improvement of its security. View full abstract»

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  • V/f control strategy with constant power factor for SPMSM drives, with experiments

    Page(s): 147 - 151
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (494 KB) |  | HTML iconHTML  

    A simplified sensorless V/f control for surface permanent magnet synchronous motor (SPMSM) drives with two stabilizing feedback corrections is developed. The stabilizing corrections are the voltage-vector speed correction based on the active power variation, and the voltage amplitude correction based on power factor angle regulation loop. The dq axis inductances are experimentally determined and the iron losses are taken into account with validation based on close results between simulation and experiment. The proposed scalar V/f control structure, with real-time implementation on DSP, is experimentally compared with standard Field Oriented Control (FOC) strategy, that uses position encoder, proving good dynamics. View full abstract»

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  • Model validation, simulation and control for ammonia synthesis column

    Page(s): 153 - 156
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (280 KB) |  | HTML iconHTML  

    Ammonia synthesis is a very important process in the national economy and the column synthesis with the additional expensive equipments justify the necessity of the mathematical modeling, model validation and control system implementation. The work presents some problems of the ammonia synthesis model based on fundamental equations from physics and chemical engineering. After a model linearization some control conventional system are presented and validated. View full abstract»

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  • Face expression recognition: A brief overview of the last decade

    Page(s): 157 - 161
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (285 KB) |  | HTML iconHTML  

    The huge research effort in the field of face expression recognition (FER) technology is justified by the potential applications in multiple domains: computer science, engineering, psychology, neuroscience, to name just a few. Obviously, this generates an impressive number of scientific publications. The aim of this paper is to identify key representative approaches for facial expression recognition research in the past ten years (2003-2012). View full abstract»

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  • Performance evaluation of a face detection algorithm running on general purpose operating systems

    Page(s): 163 - 168
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (457 KB) |  | HTML iconHTML  

    Face detection is an important area of research in robotics and mechatronics applications as an essential subsystem in the interaction with human subjects. As face detection-based applications are moving into mobile and embedded systems, processing performance, among other characteristics, plays a major role. This paper reviews the current status concerning the development of face detection algorithms in order to evaluate the performance evaluation of a set of algorithms. A face detection algorithm based on the Viola-Jones face detector is implemented such that to run on three different operating systems and two hardware platforms in order to represent the basis for the development of a computing environment to run on robotic devices and on mechatronics applications. View full abstract»

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  • Analysis of the suitability of using blind crossover operators in genetic algorithms for solving routing problems

    Page(s): 17 - 22
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (352 KB) |  | HTML iconHTML  

    Genetic algorithms (GA) are one of the most successful techniques in solving combinatorial optimization problems. Its general character has enabled its application to different types of problems: vehicle routing, planning, scheduling, etc. This article shows that there is controversy in the basic structure of the algorithm steps when it is applied at routing problems. Specifically in this paper we show that the crossover (CX) offers no advantage in the optimization process. To solve such problems, the most important steps are mutation and selection of individuals. These two steps are what help to analyze the solution space exhaustively and give GA optimization capability. To prove our hypothesis we will analyze the results obtained by applying different blind crossover operators to solve multiple instances of the TSP (Travelling Salesman Problem). View full abstract»

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  • Face identification using kinect technology

    Page(s): 169 - 172
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (428 KB)  

    Face recognition is one of the most widely studied problems in computer science due to various advantages, such as universality, robustness, permanence and accessibility [1]. It becomes increasingly important in many applications, including urban surveillance, home security, and healthcare [2]. Our approach aims human identification using soft biometrics (face, skeleton) extracted from 2D and 3D video sources. The proposed solution is based on low cost hardware [3]. View full abstract»

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  • Image classification using local binary pattern operators for static images

    Page(s): 173 - 178
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (457 KB) |  | HTML iconHTML  

    This paper aims to present an image classification method using Local Binary Pattern techniques. Local Binary Pattern operator transforms an static image, at pixel level, into a matrix of labels. These labels - integer numbers - describe and characterise the original image at a much lower scale. The authors propose the use of labels as a global characteristic of an static image. These techniques can be applied to an image or to a group of images and the characterization is done through an array of values extracted by the algorithm. The application developed allows the characterization of an image or a set of images, determining the similarity between different images and the degree of belonging to a particular group. Vectors of values are required for more images and image groups and each vector is representing different textures and their classification. As a result it becomes possible that indexing images, take into account the content of the information present in the image. View full abstract»

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  • A new NIR camera for gesture control of electronic devices

    Page(s): 179 - 184
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (514 KB) |  | HTML iconHTML  

    Since the introduction Gesture Control technology in the electronic gaming technology a series of attempts have been made to deploy it also on other domains such as robotics, teaching, medical, automotive and many others. Human gesture used for Man-Machine Interaction became attractive as it offers a simpler way of controlling sophisticated devices, in a sci-fi-like scenario, in return of an increasingly computational power required by the artificial intelligence algorithms needed to detect, track and recognize them. There have been attempts to bring a solution to it by using 2D or 3D based image processing methods. There is a clear balance incline towards 3D methods in the consumer product as besides the almost insurmountable difficulties for producing robust and stable results, the price constraint added supplementary hurdles. As perfect illumination conditions are core factors in obtaining the above results, the infrared light was unanimously adopted by the domain technologies. In this paper, a novel real-time depth-mapping principle and a corresponding hardware solution for an IR depth-mapping camera is introduced. The new IR camera architecture comprises an illuminator module which is pulsed and modulated via a monotonic function using a phase-locked loop control for the laser intensity, while the reflected infrared light is captured during the increasing and decreasing monotonic function. A reconfigurable hardware architecture (RHA) unit calculates the depth and controls the IR waves in synchronism with the infrared sensor. The resolution of the depth map is variable depending on the resolution and gating possibilities of the image sensor. A sensor of 1 megapixel is used, providing a resolution of 1024×1024. Images of real objects are reconstructed in 3D based on the data obtained by the laser controlled by the RHA. A corresponding image processing algorithm builds the 3D map of the object in real-time. In this paper the camera is used to control cons- mer electronic products such as TV sets, laptops and others. View full abstract»

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