2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献

{"title":"Interaction understanding in the OSI model functionality of networks with case studies","authors":"S. Orzen","doi":"10.1109/SACI.2014.6840086","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840086","url":null,"abstract":"The work presented throughout this paper deals with the continuous research on the OSI model's applicability to convey a certain functionality in computer networks. Computer networks represent mathematical formalisms and algorithmic organization which as presented in sections one and two of this paper, are in a continuous logical understanding of the new technologies adherence to the fundamental applicable communication rules. Section three of this article presents the mathematical notions that allow research to be continued through the OSI model and in section four the intermediary interaction layer is specified with the management perspective that is added through new technology functions.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132519626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sorting system for practical training of mechatronics","authors":"A. Bencsik, M. Lendvay","doi":"10.1109/SACI.2014.6840063","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840063","url":null,"abstract":"Óbuda University has more than twenty five years' tradition for teaching of mechatronics. Using these experiences we developed a complex equipment that facilitates training of complex systems that accomplish synergic integration. The training system comprises components that perform pneumatic movement and manipulation and control of them, these are controlled by a programmable logic controller. The task is sorting of work pieces made of various materials. Difference of materials is detected and evaluated by a measuring block that consists of three sensors, than based on this information it determines the movement target. In the article we introduce the architecture of the system by description of individual partial tasks. Finally we will determine the basic structure of the PLC program that performs the tasks of controlling and realisation.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126468567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling of commercial vehicles for vehicle dynamics control development","authors":"R. Kovács, L. Nádai, Z. Hankovszki","doi":"10.1109/SACI.2014.6840082","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840082","url":null,"abstract":"Commercial vehicle modeling strategies are presented in this paper. Models created are suitable for vehicle dynamics control development, computationally efficient, and well-structured. Important feature of the models is that they can easily support a huge number of possible vehicle variants with different geometrical and structural requirements. Model is built-up in a multi-body structure. This paper details the modeling of the vehicle frame and the suspension and gives brief insight into the tire modeling for which a brush-model approach is used. Finally, simulation results are presented.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126677922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reference model for hybrid adaptive control of pneumatic muscle actuator","authors":"M. Tóthová, J. Pitel’","doi":"10.1109/SACI.2014.6840044","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840044","url":null,"abstract":"Pneumatic muscle actuator exhibits strong nonlinear behavior and it requires use advanced control algorithms based also on computational intelligence techniques as for example hybrid fuzzy adaptive control. These sophisticated control methods could be capable of handling the system's nonlinear properties. In the paper there is presented nonlinear dynamic model of one-DOF pneumatic muscle actuator for use as reference model in adaptation mechanism of hybrid adaptive fuzzy controller. This dynamic model was designed using different muscle models and some simulation results are presented in the paper.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133491199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced time-domain detection of the activation frequency of atrial fibrillation","authors":"Ráhel Zölei-Szénási, G. Vadai, R. Pap, Z. Gingl","doi":"10.1109/SACI.2014.6840091","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840091","url":null,"abstract":"Atrial fibrillation is the most common sustained cardiac arrhythmia. To determine the activation frequency of the atrial fibrillation the frequency-domain analysis is used mostly, however it is unreliable in several cases. This insufficiency led to the demand of using time-domain analysis. Although these attempts seemed to be promising, there have remained several limitations. In our research we developed an enhanced algorithm for time-domain analysis. We defined two indicators which characterized the signals and the reliability of the method well. As compared to the frequency-domain analysis our algorithm can widen the applicability of time-domain analysis since in several cases - when the results of the frequency-domain analysis are unreliable - it can be applied still reliably. As a complementation of the frequency-domain analysis our algorithm can be an extremely helpful tool in medical practice.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134029098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New adaptive capability for generic product representation","authors":"L. Horváth, I. Rudas","doi":"10.1109/SACI.2014.6840075","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840075","url":null,"abstract":"Very complex and flexible information structure of product representation is essential requirement to cope with firm demands for increased engineering capability and shortened innovation cycle in leading industrial practice. In order to achieve the awaited product model, improved abstraction, behavior, and active knowledge representations constitute the current trend in product lifecycle management (PLM). The Laboratory of Intelligent Engineering Systems (LIES) at the Óbuda University joined to efforts to improve self-adaptive PLM modeling ten years ago. In this paper, the request, behavior, action, and context (RBAC) structure is introduced as one of the latest results at LIES. The purpose of the RBAC structure is to collect and manage actual content for generation of elements in the requirement, functional, logical, and physical (RFLP) structure. RFLP structure was recently implemented in leading PLM systems in order to establish multidisciplinary product modeling on the demanded higher abstraction levels. This is development of PLM systems towards systems engineering (SE). This paper introduces a previously published multilevel abstraction based product definition method, its application at the development of RBAC structure, connection of RFLP and RBAC structures, and modeling methods on levels of the RBAC structure.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115676482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"State estimation method for aircraft identification purposes","authors":"Lorand Lukacs","doi":"10.1109/SACI.2014.6840090","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840090","url":null,"abstract":"The study presents a state estimation method for the determination of an aircraft's position, speed, spatial orientation and angular velocity based on the data fusion of differential GPS, 3D accelerometer, angular velocity and magnetometer sensors and Extended Kalman Filtering on actual flight data. The paper also proposes a method for determining the aircraft's angle of attack and sideslip angles. The state variables together with the aircraft's actuator signals (determined separately) are considered as input signals for the identification of an aircraft's nonlinear model.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123291310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nature-inspired optimization algorithms applied to fuzzy control, fuzzy modeling, mobile robots and optical character recognition","authors":"R. Precup","doi":"10.1109/SACI.2014.6840046","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840046","url":null,"abstract":"Summary form only given. The plenary talk deals with the presentation of several applications of nature-inspired optimization algorithms (NIOAs) obtained by the Process Control group of the Department of Automation and Applied Informatics with the Politehnica University of Timisoara, Romania. The algorithms include Simulated Annealing (SA), Particle Swarm Optimization (PSO), Gravitational Search Algorithms (GSAs), Charged System Search (CSS), hybrid and adaptive versions. Aspects concerning the design and tuning of Mamdani and Takagi-Sugeno fuzzy controllers with dynamics focused on proportional-integral fuzzy controllers (PI FCs) and the general formulation of Takagi-Sugeno fuzzy models are first discussed. The optimal tuning of fuzzy controllers is carried out by the definition of optimization problems with the tuning parameters of the fuzzy controllers defined as vector variables, and with objective functions expressed as the weighted sums of functions that depend on the (absolute or squared) control error and of the output sensitivity functions of the state sensitivity models with respect to process parametric variations. The NIOAs minimize the objective functions to achieve optimal fuzzy control systems with reduced parametric sensitivity, and optimal PI-FCs for nonlinear servo systems are offered. The NIOAs are next applied to the optimal tuning of the parameters of Takagi-Sugeno fuzzy models for Anti-lock Braking Systems and for magnetic levitation systems. Initial Takagi-Sugeno fuzzy models of the process are derived on the basis of the modal equivalence principle by placing a set of linearized process models at several operating points in the rule consequents. The vector variables in the optimization problems are a part of the parameters of the input membership functions. The NIOAs are inserted in optimal path planning algorithms for mobile. The multi-objective optimization is considered as the NIOAs use two to four objective functions to generate optimal trajectories for mobile robots in static environments while avoiding collisions with the obstacles and danger zones that might exist in the environment. The NIOAs solve the optimization problems by minimizing the objective functions, producing optimal collision-free trajectories in terms of minimizing the length of the paths and also assuring that the generated trajectories are at a safe distance from the danger zones. Some details on the implementation of training algorithms for convolutional neural networks in optical character recognition (OCR) applications are discussed. The training algorithms involve NIOAs in combination with the popular back-propagation in order to achieve performance improvements by avoiding local minima. A comparison between our training algorithms is carried out and illustrated in terms of the analysis of convergence, computational cost and accuracy for a benchmark problem specific to OCR applications.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123399748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A method for avoiding loops while decomposing the task description graph in system-level synthesis","authors":"P. Arató, D. Drexler, G. Kocza","doi":"10.1109/SACI.2014.6840066","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840066","url":null,"abstract":"In system-level synthesis, the graph describing the task may consist of a great number of vertices, thus the design algorithms (e.g. hardware-software partitioning, pipeline synthesis, etc.) may become extremely complicated. This difficulty is relaxed by decomposing the task description graph that is usually unavoidable in system-level synthesis. The decomposing algorithms unite certain vertices of the graph, thus the resulting graph consists of less vertices. However, loops may appear in the decomposed graph, even if the original graph was loop-free, that endangers the efficiency of the design algorithms. We propose an algorithm that generates allowable cuts. We prove that any decomposition made along these cuts always yields a loop-free graph. The method is demonstrated on a simple example. Incorporating optimization criteria in the cut generation is also discussed.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125325694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Peak energy determination by a sample at idle mode operation","authors":"H. Ciocarlie, Florica Balog, G. Erdodi, D. Petrescu","doi":"10.1109/SACI.2014.6840080","DOIUrl":"https://doi.org/10.1109/SACI.2014.6840080","url":null,"abstract":"The optimum management of a wind system involves capturing a maximum energy at a significantly variable wind speed. This requires the control of both speed and torque of wind turbine and adapting the generator load to the wind speed. The main objective of this work is determining the RPM corresponding to the maximum energy given by wind turbine. By simulation, is determined the mechanical angular speed at which the energy is maximally, considering a variable wind speed.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124595608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}