{"title":"Simulation of medical image interpretation","authors":"N. Gal, V. Stoicu-Tivadar","doi":"10.1109/INES.2011.5954715","DOIUrl":"https://doi.org/10.1109/INES.2011.5954715","url":null,"abstract":"Medical images carry information in a complex data format about the organ and the related pathologies. Physicians must decipher this information from the image. In this paper a workflow of the image interpretation simulation and a set of numerical image processing algorithms are presented. The paper is focused on the available segmentation and feature extraction methods. The main goal is to create a framework to identify the most suitable segmentation and feature extraction method for a medical image interpretation system.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124883661","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":"Spherical robot with new type of two-pendulum driving mechanism","authors":"Joong-Cheol Yoon, Sung-Su Ahn, Yun-Jung Lee","doi":"10.1109/INES.2011.5954758","DOIUrl":"https://doi.org/10.1109/INES.2011.5954758","url":null,"abstract":"This paper introduces a spherical robot, called KisBot II, with a new type of two-pendulum driving mechanism. A cross-shape frame is located horizontally in the center of the robot. The main axis of the frame is connected to the outer shell, and each pendulum is connected to the end of the other axis of the frame respectively. The main axis and pendulums can rotate 360 degrees inside the sphere orthogonally without interfering with each other, also the two pendulums can rotate identically or independent of each other. Due to this driving mechanism, KisBot II has various motion generation abilities, including a fast steering ability, turning ability in place and during travelling, and four(forward / backward / left / right) directional driving ability on the ground. Experiments for several motions verify the driving efficiency of the proposed spherical robot.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123452769","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":"Digital image correlation analysis of biomaterials","authors":"M. Milosevic, N. Mitrović, A. Sedmak","doi":"10.1109/INES.2011.5954784","DOIUrl":"https://doi.org/10.1109/INES.2011.5954784","url":null,"abstract":"Digital image correlation method (DIC) is becoming a common method in determining mechanical properties of biomaterials. DIC using 3D optical measuring system has very broad application in dentistry research field. Application of DIC technique in experimental biomechanical analysis using software Aramis for 3D displacement/strain measurement is presented in this paper.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124153702","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":"Simple noise reduction in the adaptive synchronization of coupled neurons by Robust Fixed Point Transformation","authors":"T. A. Várkonyi, J. Tar, J. Bitó, I. Rudas","doi":"10.1109/INES.2011.5954762","DOIUrl":"https://doi.org/10.1109/INES.2011.5954762","url":null,"abstract":"To avoid the general mathematical difficulties of the application of Lyapunov's “direct” method in adaptive control in the present paper an alternative approach, the use of “Robust Fixed Point Transformation (RFPT)” is applied for the adaptive synchronization of two coupled, asymmetric, chaotically behaving, approximately known Fitz — Hugh — Nagumo (FHN) neurons. Since the RFPT scheme is based on the use of the “Expected — Realized Response Scheme” the noise in the observed quantities may influence the efficiency of the controller. For this purpose the use of a very simple, easily realizable technique is proposed that applies polynomial filtering coefficients in the time domain. Its efficiency is investigated and substantiated via extended simulation investigations.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117030707","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}
A. Gmiterko, M. Kelemen, Ivan Virgala, R. Surovec, M. Vacková
{"title":"Modeling of a snake-like robot rectilinear motion and requirements for its actuators","authors":"A. Gmiterko, M. Kelemen, Ivan Virgala, R. Surovec, M. Vacková","doi":"10.1109/INES.2011.5954726","DOIUrl":"https://doi.org/10.1109/INES.2011.5954726","url":null,"abstract":"The paper deals with a rectilinear motion of a snake-like robot. At first the various kinds of friction models are discussed and then the mathematical model of rectilinear snake-like robot locomotion is established. Considering the isotropic Coulomb´s friction model the average velocity of N-mass system is derived. Further the average velocity dependence on the number of used masses N is described through the graph. From the equation of average velocity there is the optimal number of masses N established. In the paper there are two alternative sequences of motion considered and subsequently through the simulations they are compared to each other. Finally the requirements concerning the linear actuator between two masses are described.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125561606","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":"An intelligent control policy for fuel injection control of SI Engines (case study: CNG engine)","authors":"F. Barghi, A. Safavi","doi":"10.1109/INES.2011.5954730","DOIUrl":"https://doi.org/10.1109/INES.2011.5954730","url":null,"abstract":"This research is distinctive in terms of using a Recurrent Neuro-Fuzzy Network (RNFN) structure as an intelligent approach for fuel injection control of Spark Ignition (SI) Engines. This control problem is very sensitive because the dynamics of intake manifold air-fuel flow is severely nonlinear and multivariable. To reasonably handle such a complicated control problem, a precise experimental test has been done on a real Compressed Natural Gas (CNG) fuelled vehicle and the process input output data have been collected by running the vehicle in transient conditions. Using both process knowledge and process input output data, the nonlinear dynamics of air to fuel ratio (AFR) of CNG engine has been modeled by a RNFN estimator. Then a predictive RNFN controller has been designed based on nonlinear inverse dynamics of AFR. This control strategy has the advantage that control actions can be calculated analytically avoiding the costly and time-consuming calibration efforts required in conventional fuel injection control strategies. The results show that the response of controller is match to the measured fuel injection commands produced by the electronic control unit (ECU). This evaluated and validated the efficiency of controller. Furthermore, place the controller in a closed loop with the proposed intelligent model shows a similarity in results, in comparison with the performance of real fuel injection system and ECU in the real-time conditions.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126781733","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":"Analysis of SAP Development tools and methods","authors":"T. Orosz","doi":"10.1109/INES.2011.5954788","DOIUrl":"https://doi.org/10.1109/INES.2011.5954788","url":null,"abstract":"Enterprise Resource Planning Systems enable their users to work in several functional areas, industry solutions. SAP, the leading ERP System in the World, delivers the newest standard information technology, architecture and methodology when introducing its new product. New features of the introduced product gradually replace the old techniques and approaches. Nevertheless, such informatics systems are more robust to get rid of older techniques immediately. There are still existing important solutions in the SAP systems using old Development tools and methods. There is a lack of learning methodology to bridge the gap of old, reliable and new technology. Present paper demonstrates how old techniques can still exist in the newest SAP architecture. This development example provides our students information about old but efficient Development Tools and Techniques.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121742716","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}
C. Travieso, J. Briceño, J. R. Ticay-Rivas, J. B. Alonso
{"title":"Pollen classification based on contour features","authors":"C. Travieso, J. Briceño, J. R. Ticay-Rivas, J. B. Alonso","doi":"10.1109/INES.2011.5954712","DOIUrl":"https://doi.org/10.1109/INES.2011.5954712","url":null,"abstract":"Conserving earth's biodiversity for future generations is a fundamental global task, where automated recognition of pollen species by means of computer vision represents a highly prioritized issue. This work focuses on analysis and classification stages. The morphological details of the contour are proposed as pollen grains discriminative features. The approach has been developed as a robust pollen identification based on an HMM kernel. A Vector Support Machine was used as classifier. The principal contribution in this work, in terms of the use of the HMM is the gradient optimisation problem implementation in the SVM. 47 tropical honey plant species have been classified achieving a mean of 93.8% ± 1.43 of success.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115152408","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":"Welcome to INES 2011","authors":"","doi":"10.1109/ines.2011.5954793","DOIUrl":"https://doi.org/10.1109/ines.2011.5954793","url":null,"abstract":"Authors are welcome to submit original and unpublished papers and attend the 15 th IEEE Interna-this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123100559","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}