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Annual Conference of the IEEE Industrial Electronics Society

作者： R. Sudharshan Kaarthik K. Gopakumar Carlo Cecati Istvan Nagy Department of Electronic Systems Engineering Indian Institute of Science Dept. of Industrial and Information Engineering and Economics University of L'Aquila Dept. of Automation and Applied Informatics Budapest University of Technology and Economics

ISBN: (纸本)9781479940318

In this paper, a nineteen level dodecagonal voltage space vector structure is proposed for the first time, by cascading two asymmetric three level inverters with isolated H-Bridges. The dodecagonal structure is made possible by proper selection of DC link voltages and switching states of the inverters. The proposed scheme retains all the advantages of multilevel topologies as well the advantages of dodecagonal voltage space vector structure. A generic and simple method for calculation of PWM timings is proposed. Also, a new method of switching technique is proposed, which ensures minimum switching while maintaining the linearity between modulating signals and the output phase voltages. Extensive simulation and experimental results have been presented for validation of the proposed concept.

关键词： Multilevel Inverters Pulse Width Modulation Induction Motor Drive Neutral Point Clamped Cascaded H-Bridge Dodecagonal Voltage Space Vector Structure

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Fast Fog Detection for Camera Based Advanced Driver Assistance Systems

Fast Fog Detection for Camera Based Advanced Driver Assistan...

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17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering Conference 2014

作者： Rita Spinneker Carsten Koch Su-Birm Park Jason Jeongsuk Yoon Hochschule Emden/Leer University of Applied Sciences Institute of InformaticsAutomation and Robotics (I2AR)EmdenGermany LG Electronics Future IT Lab Computer Vision Team SeoulRepublic of Korea

In an increasing number of cars,the driver is supported by Advanced Driver Assistance Systems(ADAS).In particular camera based ADAS are a key component for further improvements in safety and driving *** imaging sensors are performing well under good weather conditions,their efficiency suffers under adverse environmental influences such as heavy rain,fog or *** handle such optical threats and to estimate information quality of cameras in order to warn the assistance system of possible critical working conditions,a self-diagnosis mechanism is of great importance for reliable operation of an optical *** this paper an approach of camera based fog detection as part of a self-diagnosis mechanism for ADAS based on the blurring effect of fog is *** encouraging results of our experiments have shown that the presented approach of analysing the power spectrum slope(PSS) of a small image block in close proximity to the vanishing point enables a fast discrimination of street scenes with and without fog.

关键词： image Fast Fog Detection for Camera Based Advanced Driver Assistance Systems

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Advanced Robotic Grasping System Using Deep Learning

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Procedia Engineering 2014年 96卷 10-20页

作者： Pavol Bezak Pavol Bozek Yuri Nikitin Research Centre of Progressive Technologies Slovak University of Technology Hajdoczyho 1 917 24 Trnava Slovakia Institute of Applied Informatics Automation and Mathematics Slovak University of Technology Hajdoczyho 1 917 24 Trnava Slovakia Department of Mechatronic Systems Kalashnikov Izhevsk State Technical University Izhevsk Russia

Object grasping by robot hands is challenging due to the hand and object modeling uncertainties, unknown contact type and object stiffness properties. To overcome these challenges, the essential purpose is to achieve the mathematical model of the robot hand, model the object and the contact between the object and the hand. In this paper, an intelligent hand-object contact model is developed for a coupled system assuming that the object properties are known. The control is simulated in the Matlab Simulink/SimMechanics, Neural Network Toolbox and Computer Vision System Toolbox.

关键词： Robot hand Modeling Grasping Neural networks Deep learning Object recognition Pose estimation

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Software system for inventory and assessment of the wear of computing machines from a network of grid data centers

Software system for inventory and assessment of the wear of ...

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Roedunet International Conference (RoEduNet)

作者： Mariana Marinescu Mihai Ciubancan Mihnea Dulea Ramona Oana Grigoriu Ionela Halcu Giorgian Neculoiu Virginia Cristiana Sãndulescu Oana Carmen Niculescu Faida Alexandru Viorel Marinescu Automation and Applied Informatics Laboratory of Systems Engineering National Institute of Research-Development for Physics and Nuclear Engineering “Horia Hulubei” (IFIN-HH) The Department of Computational Physics and Information Technologies Romania Universitatea Tehnica de Constructii Bucuresti Bucuresti RO

The efficient functioning of grid data centers is one of the most important factor that preoccupies the academic world (professors, researchers, PhD students and so on). The trends, in this continuous growth, of the use of grid technologies in vast and different fields lead to the necessity of the development of methods of optimizing the efficiency of the grid data centers infrastructure. The main objective of the paper consists in developing a computer aided management system for keeping track and assessment of wear off of computing machines from a network of grid data centers (more accurately said, it is a “software system for decision support”). The system will be able to perform real time alarming of the personnel of data centers for possible incidents of for the rising possibility of abnormal functioning of this data centers. This objective will be accomplished through the development of a database that will store data about the hardware equipment components of the grid cluster behavior, data collected form the starting point of the implementation, in real time. The data is acquired through many sensors attached to the components of the cluster servers, like the hard disks, memories and processing units. All this data will be available through a secure web portal, the access to this data being available only to authorized personnel. The database will provide the needed information and data to the decision support software system. The implementation of this software will lead to a growth in functionality of the grid clusters through forecasting the possible malfunctions that will allow the optimized scheduling of hardware maintenance, software reinstall and configuration. More than that, will function as an emergency response system for the management of the network of grid data centers.

关键词： Servers Hardware Databases Large Hadron Collider Reliability Monitoring Maintenance engineering

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New Design “Duplo-headstock”

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Procedia Engineering 2014年 69卷 1336-1344页

作者： Ľubomír Šooš Stanislav Ďuriš Rudolf Palenčár Slovak Slovak University of Technology in Bratislava Faculty of Mechanical engineering Institute of manufacturing systems environmental technology and quality management Nám. slobody 17 812 31 Bratislava 1 SlovakRepublic Slovak University of Technology in Bratislava Faculty of Mechanical engineering Institute of automation measurement and applied informatics Nám. slobody 17 812 31 Bratislava 1 SlovakRepublic

The quality of machine tools is critical in determining their productivity and the accuracy of the finished work piece. The headstock of the machine tool has the greatest impact on these parameters. The tool or work-piece holder must meet specific demands for maximum speed and rigidity. These two parameters are variable, but always in contradiction, and depend mainly on the Spindle-Bearings System (SBS). In this context, SBS are increasingly being produced in combination with roller bearings, and with various combinations of radial ball bearings. This is mainly because the radial ball bearings allow groupings of different combinations to achieve the optimal compromise between the required maximum speed and the desired stiffness of the SBS. Stiffness, especially in ball bearings, is not constant but dependent on the magnitude of the load. The SBS is a statically indeterminate system, and an accurate calculation of the bearings and its nodes, as well as the whole system, is only possible using iterative methods. The exact calculation of SBS stiffness cannot be achieved without the use of powerful computers and high-quality software. Selection of the optimal configuration is achieved by analyzing a number of potential, alternative SBS solutions. The exact calculation of a large number of variants, and manufacturing their prototypes, is time consuming and very expensive. The solution is to quickly determine, with sufficient reliability, the parameters of the bearing nodes, which are influenced by the radial ball bearings. It is only in the final variation that an accurate calculation using iterative methods can be made, followed by subsequent production of a prototype for verification. At our workplace, we dedicate our time to intensive research into bearing nodes and the complete SBS.

关键词： ball bearing angular contact bearing node spindle bearing system machine tool spindle spindle duplication stiffness

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Utilisation of on-line machine learning for SCADA system alarms forecasting

Utilisation of on-line machine learning for SCADA system ala...

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2013 Science and Information Conference, SAI 2013

作者： Skripcak, Tomas Tanuska, Pavol Institute of Applied Informatics Automation and Mathematics Slovak University of Technology Faculty of Materials Science and Technology Trnava Slovakia

ISBN: (纸本)9780989319300

This paper describes a prototype design and implementation of a real-time (on-line) knowledge generation component which can be utilised in industrial Supervisory Control and Data Acquisition (SCADA) systems. The overall architecture of our SCADA scenario, which utilise proposed knowledge generation is based on a multi-agent approach. This design is different from what we can see in conventional commercial SCADA solutions. Nowadays, there is a big pressure on operators to precisely analyse a huge amount of data coming from technological processes and make right decisions in the right time. This is where a real-time knowledge generation can highly improve decision making strategies in complex industrial processes. Nevertheless, the actual state of the art solutions are usually not using the knowledge generation directly, or there are often restricted so called off-line learning approaches. The recent development in the area of machine learning lead to the creation of distributed solutions which could process real-time data and dynamically adapt the generated knowledge. We applied this on-line machine learning approach in our proposed prototype. The experimental agent is focused on the specific scenario of the process alarm forecasting, which is considered to be a binary classification problem. We describe our solution for useful classifier feature vector construction. The classifier itself is based on Passive-Aggressive algorithm. Furthermore, in order to evaluate a performance of the classification the results from knowledge generation experiments were provided in form of Matthews Correlation Coefficient (MCC) together with Receiver Operating Characteristic (ROC). The proposed prototype shows how to design and implement an on-line knowledge generation component for novel SCADA solutions. © 2013 The Science and Information Organization.

关键词： SCADA systems

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The proposal of function in smart home for handicapped users

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2012 International Conference on Mechanical Materials and Manufacturing Engineering, ICMMME 2012

作者： Hamernik, Peter Tanuska, Pavol Mudroncik, Dusan Institute of Applied Informatics Automation and Mathematics The Faculty of Materials Science and Technology Slovak University of Technology Trnava Slovakia

Nowadays are smart homes aimed at healthy users. Much less emphasis is placed on the handicapped users. The article is focused on classification of function in a smart home for users with Alzheimer's disease assoc... 详细信息

ISBN: (纸本)9783037855560

关键词： automation

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Fuzzy control of robotic arm implemented in PLC

Fuzzy control of robotic arm implemented in PLC

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IEEE 9th International Conference on Computational Cybernetics, ICCC 2013

作者： Skulavik, Tomas Kopcek, Michal Kopcekova, Alena Institute of Applied Informatics Automation and Mathematics Slovak University of Technology in Bratislava Faculty of Materials Science and Technology Trnava Slovakia

ISBN: (纸本)9781479900633

This article deals with a design of a fuzzy control system for robotic arm and its implementation to PLC. Fuzzy logic is used to calculate the proper speed of robot tool center point depending on the tilt of the joystick handle in manual operating mode. In fully automatic mode the fuzzy logic is used in form of a fuzzy PI controller to achieve the desired velocity with the load compensation. Fuzzy system was designed in the Siemes Fuzzy Control ++ and was implemented to Simatic S7-\300 PLC. © 2013 IEEE.

关键词： Fuzzy control

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Experiences with basic control course supported by matlab/simulink exercises

Experiences with basic control course supported by matlab/si...

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10th IFAC Symposium on Advances in Control Education, ACE 2013

作者： Kalave, Eniko Kósáné Bézi, István Bars, Ruth Institute of Physics University of Debrecen Debrecen Hungary Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary Department of Automation and Applied Informatics MTA-BME Control Engineering Research Group Budapest University of Technology and Economics Budapest Hungary

ISBN: (纸本)9783902823434

A basic control course is taught for electrical engineering students at the University of Debrecen, Hungary. Through two semesters the students get a basic knowledge on control concepts. Every week there are 2 hours of theoretical lectures immediately followed by 2 hours of MATLAB based interactive computer laboratories. In the curriculum besides the conventional material new aspects of control design such as Youla parametrization have also been included. Practical considerations as e.g. controller saturation are also dealt with. The paper reviews briefly the curriculum and the educational process of this program. © IFAC.

关键词： Curricula

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Safety analysis for complex dynamic systems

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2nd International Symposium on Manufacturing Systems Engineering, ISMSE 2013

作者： Strbo, Milan Tanuska, Pavol Smolarik, Lukas Hagara, Igor Gese, Augustin Institute of Applied Informatics Automation and Mathematics Slovak University of Technology in Bratislava Paulínska 16 917 24 Trnava Slovakia

ISBN: (纸本)9783037858455

The content of this article is the proposal of process of the safety analysis for complex dynamic systems. The safety analysis is carried out in process of the proposal of control system for safety-critical processes. In preliminary hazard analysis is done the identifying all possible risks by PHI method. The PHA method is used to analyze these risks. The method of safety analysis depends on various safety-critical states of system which are system are controlled by models. We propose to use the method SQMD for modeling these states. This method combines qualitative and quantitative methods of modeling states and takes advantage of both methods. The model of the proposal is shown in the diagram. The article includes detailed description of the tasks for each step of analysis. © (2013) Trans Tech Publications, Switzerland.

关键词： Risk assessment

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