Recently the Electric Network Frequency (ENF), one of the main traits of a power grid, had become increasingly popular in forensics since it is considered as a signature in multimedia recordings. By analyzing the ENF, it is possible to determine the time and location of a recording. In this paper, the ENF signals were classified using five different machine learning algorithms in order to detect the region of the origin of the ENF signals extracted from power and audio recordings coming from 10 different electric networks. Three sets of novel signal features are introduced and compared with the ones previously discussed in the literature. The improvement in the classification accuracy when a combination of the referent and novel feature sets was used ranges from 3% to 19% for the ENF signals extracted from power and audio recordings, respectively. Finally, the classifier with the highest achieved average accuracy was found to be Random Forest.
{"title":"Improving location of recording classification using Electric Network Frequency (ENF) analysis","authors":"Zeljana Saric, Anastazia Žunić, Tijana Zrnic, Milivoje Knezevic, Danica Despotovic, Tijana Delic","doi":"10.1109/SISY.2016.7601517","DOIUrl":"https://doi.org/10.1109/SISY.2016.7601517","url":null,"abstract":"Recently the Electric Network Frequency (ENF), one of the main traits of a power grid, had become increasingly popular in forensics since it is considered as a signature in multimedia recordings. By analyzing the ENF, it is possible to determine the time and location of a recording. In this paper, the ENF signals were classified using five different machine learning algorithms in order to detect the region of the origin of the ENF signals extracted from power and audio recordings coming from 10 different electric networks. Three sets of novel signal features are introduced and compared with the ones previously discussed in the literature. The improvement in the classification accuracy when a combination of the referent and novel feature sets was used ranges from 3% to 19% for the ENF signals extracted from power and audio recordings, respectively. Finally, the classifier with the highest achieved average accuracy was found to be Random Forest.","PeriodicalId":193153,"journal":{"name":"2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125308342","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}
Pub Date : 2016-08-01DOI: 10.1109/SISY.2016.7601510
Zvezdin Biljana, Andor Sagi, E. Pataki
This work presents an integrated approach to pathophysiological and pharmacological basis of allergic asthma as a blueprint of interdisciplinary multilevel intelligent system research. Intelligent system based healthcare promises improved prevention, diagnosis, treatment, prognosis and reduced costs. The aim of this work is to review the pathophysiological and pharmacological basis of these systems, emphasize the need for interdisciplinary multilevel collaboration in order to achieve optimal research results.
{"title":"Allergic asthma — Pathophysiological and pharmacological approach to interdisciplinary multilevel intelligent system research","authors":"Zvezdin Biljana, Andor Sagi, E. Pataki","doi":"10.1109/SISY.2016.7601510","DOIUrl":"https://doi.org/10.1109/SISY.2016.7601510","url":null,"abstract":"This work presents an integrated approach to pathophysiological and pharmacological basis of allergic asthma as a blueprint of interdisciplinary multilevel intelligent system research. Intelligent system based healthcare promises improved prevention, diagnosis, treatment, prognosis and reduced costs. The aim of this work is to review the pathophysiological and pharmacological basis of these systems, emphasize the need for interdisciplinary multilevel collaboration in order to achieve optimal research results.","PeriodicalId":193153,"journal":{"name":"2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126040170","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}
Pub Date : 2016-08-01DOI: 10.1109/SISY.2016.7601484
V. Argesanu, Raul Miklos Kulcsar, I. Borozan, Mihaela Jula, F. Streian, Andrei Zoltan Farkas, C. Sticlaru
Maxillofacial trauma lead to changes in forces and torques distribution of the stomatognathic system (masticatory system). In turn, they act on the spine through their actions and reaction leading to vicious postures. Modeling, simulation and determination of the state of stress and deformation of the spine, as an expression of postural imbalance / balance leads to obtaining benefits in guiding the functional post-traumatic rehabilitation/posture reset. This could be a possible strategy in this regard. The paper's goal is the contribution to “postural reset” of human subjects presenting trauma to the stomatognathic system and confirmation of achieving it. In order to determine the postural changes, the authors used a noninvasive diagnostic equipment for static and dynamic analysis (Diasu Pleasure Platform). Using the obtained data the modeling and simulation of the spine was made as a defining element of a human subject posture with maxillofacial trauma analyzed before the surgery and after the complete recovery. By using finite element method analysis, it was highlighted the decrease of the state of stress and deformation of the spine after full recovery of the subject in conjunction with the experimental results following the posture balancing.
{"title":"Highlighting the maxillofacial trauma influence on posture by FEA modeling simulation","authors":"V. Argesanu, Raul Miklos Kulcsar, I. Borozan, Mihaela Jula, F. Streian, Andrei Zoltan Farkas, C. Sticlaru","doi":"10.1109/SISY.2016.7601484","DOIUrl":"https://doi.org/10.1109/SISY.2016.7601484","url":null,"abstract":"Maxillofacial trauma lead to changes in forces and torques distribution of the stomatognathic system (masticatory system). In turn, they act on the spine through their actions and reaction leading to vicious postures. Modeling, simulation and determination of the state of stress and deformation of the spine, as an expression of postural imbalance / balance leads to obtaining benefits in guiding the functional post-traumatic rehabilitation/posture reset. This could be a possible strategy in this regard. The paper's goal is the contribution to “postural reset” of human subjects presenting trauma to the stomatognathic system and confirmation of achieving it. In order to determine the postural changes, the authors used a noninvasive diagnostic equipment for static and dynamic analysis (Diasu Pleasure Platform). Using the obtained data the modeling and simulation of the spine was made as a defining element of a human subject posture with maxillofacial trauma analyzed before the surgery and after the complete recovery. By using finite element method analysis, it was highlighted the decrease of the state of stress and deformation of the spine after full recovery of the subject in conjunction with the experimental results following the posture balancing.","PeriodicalId":193153,"journal":{"name":"2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114769280","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}
Pub Date : 2016-08-01DOI: 10.1109/SISY.2016.7601488
I. Štajner-Papuga, Z. Lozanov-Crvenkovic, G. Grujic
Evaluation of fuzzy quantities is a contemporary issue that often appears in the process of modeling uncertainty. Some of the well-known approaches are based on the integration done with respect to the probability measure, while the approach presented here considers a fuzzy measure as a base of integration. The integral in question is the Sugeno integral and it is used for construction of the Sugeno based mean value for some specific fuzzy quantities.
{"title":"On Sugeno integral based mean value for fuzzy quantities","authors":"I. Štajner-Papuga, Z. Lozanov-Crvenkovic, G. Grujic","doi":"10.1109/SISY.2016.7601488","DOIUrl":"https://doi.org/10.1109/SISY.2016.7601488","url":null,"abstract":"Evaluation of fuzzy quantities is a contemporary issue that often appears in the process of modeling uncertainty. Some of the well-known approaches are based on the integration done with respect to the probability measure, while the approach presented here considers a fuzzy measure as a base of integration. The integral in question is the Sugeno integral and it is used for construction of the Sugeno based mean value for some specific fuzzy quantities.","PeriodicalId":193153,"journal":{"name":"2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127837291","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}
Pub Date : 2016-08-01DOI: 10.1109/SISY.2016.7601500
Imre Petkovics, Ármin Petkovics, J. Simon
The development of computer architecture seems to have halted in the past 15 years compared to the earlier times of the computer era. There is an obvious trend of miniaturization, significantly increased processing speed, however, there are no significant novelties in either architecture or operation. This paper offers a short overview of computer development over the generations, as well as the new usage models that have arisen since the deceleration of the development in architecture. Further, this work presents the various fields where new advancements of computer architecture, operation and ICT in general are expected in the foreseeable future.
{"title":"A survey of ICT: Evolution of architectures, models and layers","authors":"Imre Petkovics, Ármin Petkovics, J. Simon","doi":"10.1109/SISY.2016.7601500","DOIUrl":"https://doi.org/10.1109/SISY.2016.7601500","url":null,"abstract":"The development of computer architecture seems to have halted in the past 15 years compared to the earlier times of the computer era. There is an obvious trend of miniaturization, significantly increased processing speed, however, there are no significant novelties in either architecture or operation. This paper offers a short overview of computer development over the generations, as well as the new usage models that have arisen since the deceleration of the development in architecture. Further, this work presents the various fields where new advancements of computer architecture, operation and ICT in general are expected in the foreseeable future.","PeriodicalId":193153,"journal":{"name":"2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114299608","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}
Pub Date : 2016-08-01DOI: 10.1109/SISY.2016.7601480
C. Dragos, S. Preitl, R. Precup, Stefania-Persida Hergane, Edith Georgiana Hughiet, Alexandra-Iulia Szedlak-Stînean
The paper presents the design of two low-cost control solutions (CSs) for a laboratory equipment, a state feedback CS and a proportional-integral-derivative CS. The two CSs are dedicated to the position control of a ferromagnetic sphere in a Magnetic Levitation System with Two Electromagnets (MLS2EM) and are designed in order to stabilize and to ensure the zero steady-state control error. The nonlinear mathematical model (MM) of the MLS2EM is derived on the basis of the first principles equations with experimentally identified parameters. This unstable and nonlinear MM is next linearized at seven operating points. A system response performance analysis of the best state feedback gain matrix expressed as very good dynamics behavior and settling time is done in order to validate the proposed CSs. Some real-time experimental results are presented in order to validate the proposed control solutions.
{"title":"State feedback and proportional-integral-derivative control of a magnetic levitation system","authors":"C. Dragos, S. Preitl, R. Precup, Stefania-Persida Hergane, Edith Georgiana Hughiet, Alexandra-Iulia Szedlak-Stînean","doi":"10.1109/SISY.2016.7601480","DOIUrl":"https://doi.org/10.1109/SISY.2016.7601480","url":null,"abstract":"The paper presents the design of two low-cost control solutions (CSs) for a laboratory equipment, a state feedback CS and a proportional-integral-derivative CS. The two CSs are dedicated to the position control of a ferromagnetic sphere in a Magnetic Levitation System with Two Electromagnets (MLS2EM) and are designed in order to stabilize and to ensure the zero steady-state control error. The nonlinear mathematical model (MM) of the MLS2EM is derived on the basis of the first principles equations with experimentally identified parameters. This unstable and nonlinear MM is next linearized at seven operating points. A system response performance analysis of the best state feedback gain matrix expressed as very good dynamics behavior and settling time is done in order to validate the proposed CSs. Some real-time experimental results are presented in order to validate the proposed control solutions.","PeriodicalId":193153,"journal":{"name":"2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115763401","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}
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