Pub Date : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617403
K. Suwais, Ayham Fayyoumi, A. Zarrad
Information and Communication Technologies have changed the way people live and work. In the education field, the ICT evolution is increasingly supporting innovative methods of learning and many universities are investing in creating their own e-Learning Environments. Besides, learners' performance still and issue, the social learning theory states that people can learn by observing the behavior of others and the outcome of those behaviors. Furthermore, the theory also mentions that other people will most likely exhibit the behavior if the outcome is positive. This research proposes a game theory based model to enhance learners' performance (in terms of rate of interaction, participation/contribution and attendance). Researchers presented a novel model (CEM) composed of three loosely-coupled components for enhancing the cooperation and communication levels between learners in e-Learning Environments (eLE). Each learner represents a player in a “game” within the eLE. The model used for setting the list of positive and negative activities, storing players' actions and evaluating players' behavior throughout the game. The performance of CEM has been evaluated based on the mean values and the ratio of positive actions taken by all groups in a particular class session.
{"title":"Conceptual model for e-learners performance improvement based on game theory","authors":"K. Suwais, Ayham Fayyoumi, A. Zarrad","doi":"10.1109/CIVEMSA.2013.6617403","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617403","url":null,"abstract":"Information and Communication Technologies have changed the way people live and work. In the education field, the ICT evolution is increasingly supporting innovative methods of learning and many universities are investing in creating their own e-Learning Environments. Besides, learners' performance still and issue, the social learning theory states that people can learn by observing the behavior of others and the outcome of those behaviors. Furthermore, the theory also mentions that other people will most likely exhibit the behavior if the outcome is positive. This research proposes a game theory based model to enhance learners' performance (in terms of rate of interaction, participation/contribution and attendance). Researchers presented a novel model (CEM) composed of three loosely-coupled components for enhancing the cooperation and communication levels between learners in e-Learning Environments (eLE). Each learner represents a player in a “game” within the eLE. The model used for setting the list of positive and negative activities, storing players' actions and evaluating players' behavior throughout the game. The performance of CEM has been evaluated based on the mean values and the ratio of positive actions taken by all groups in a particular class session.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127097461","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 : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617406
Yu Zhang, C. Bingham, M. Gallimore, Zhijing Yang, Jun Chen
The paper presents a readily implementable approach for sensor fault detection, identification (SFD/I) and faulted sensor data reconstruction in complex systems based on self-organizing map neural networks (SOMNNs). Two operational regimes are considered, i.e. the steady operation and operation with transients. For steady operation, SOMNN based estimation error (EE) are used for SFD. EE contribution plots are employed for SFI. For operation with transients, SOMNN classification maps are used for SFD/I comparing with the `fingerprint' maps. In addition, extension algorithm of SOMNNs is developed for faulted sensor data reconstruction. The validation of the proposed approach is demonstrated through experimental data during the commissioning of industrial gas turbines.
{"title":"Sensor fault detection and diagnosis based on SOMNNs for steady-state and transient operation","authors":"Yu Zhang, C. Bingham, M. Gallimore, Zhijing Yang, Jun Chen","doi":"10.1109/CIVEMSA.2013.6617406","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617406","url":null,"abstract":"The paper presents a readily implementable approach for sensor fault detection, identification (SFD/I) and faulted sensor data reconstruction in complex systems based on self-organizing map neural networks (SOMNNs). Two operational regimes are considered, i.e. the steady operation and operation with transients. For steady operation, SOMNN based estimation error (EE) are used for SFD. EE contribution plots are employed for SFI. For operation with transients, SOMNN classification maps are used for SFD/I comparing with the `fingerprint' maps. In addition, extension algorithm of SOMNNs is developed for faulted sensor data reconstruction. The validation of the proposed approach is demonstrated through experimental data during the commissioning of industrial gas turbines.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131943381","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 : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617419
Helal Saghir, D. Megherbi
Metagenomics is the study of microorganisms collected directly from natural environments. Metagenomics studies use DNA fragments obtained directly from a natural environment using whole genome shotgun (WGS) sequencing. Sequencing random fragments obtained from whole genome shotgun into taxa-based groups is known as binning. Currently, there are two different methods of binning: sequence similarity methods and sequence composition methods. Sequence similarity methods are usually based on sequence alignment to known genome like BLAST, or MEGAN. As only a very small fraction of species is available in the current databases, similarity methods do not yield good results. As a given database of organisms grows, the complexity of the search will also grow. Sequence composition methods are based on compositional features of a given DNA sequence like K-mers, or other genomic signature(s). Most of these current methods for binning have two major issues: they do not work well with short sequences and closely related genomes. In this paper we propose new machine learning related predictive DNA sequence feature selection algorithms to solve binning problems in more accurate and efficient ways. In this work we use Oligonucleotide frequencies from 2-mers to 4-mers as features to differentiate between sequences. 2-mers produces 16 features, 3-mers produces 64 features and 4-mers produces 256 features. We did not use feature higher than 4-mers as the number of feature increases exponentially and for 5-mers the number of feature would be 1024 features. We found out that the 4-mers produces better results than 2-mers and 3-mers. The data used in this work has an average length of 250, 500, 1000, and 2000 base pairs. Experimental results of the proposed algorithms are presented to show the potential value of the proposed methods. The proposed algorithm accuracy is tested on a variety of data sets and the classification/prediction accuracy achieved is between 78% - 99% for various simulated data sets using Random forest classifier and 37% - 95% using Naïve Bayes classifier. Random forest Classifier did better in classification in all the dataset compared to Naïve Bayes.
{"title":"An efficient comparative machine learning-based metagenomics binning technique via using Random forest","authors":"Helal Saghir, D. Megherbi","doi":"10.1109/CIVEMSA.2013.6617419","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617419","url":null,"abstract":"Metagenomics is the study of microorganisms collected directly from natural environments. Metagenomics studies use DNA fragments obtained directly from a natural environment using whole genome shotgun (WGS) sequencing. Sequencing random fragments obtained from whole genome shotgun into taxa-based groups is known as binning. Currently, there are two different methods of binning: sequence similarity methods and sequence composition methods. Sequence similarity methods are usually based on sequence alignment to known genome like BLAST, or MEGAN. As only a very small fraction of species is available in the current databases, similarity methods do not yield good results. As a given database of organisms grows, the complexity of the search will also grow. Sequence composition methods are based on compositional features of a given DNA sequence like K-mers, or other genomic signature(s). Most of these current methods for binning have two major issues: they do not work well with short sequences and closely related genomes. In this paper we propose new machine learning related predictive DNA sequence feature selection algorithms to solve binning problems in more accurate and efficient ways. In this work we use Oligonucleotide frequencies from 2-mers to 4-mers as features to differentiate between sequences. 2-mers produces 16 features, 3-mers produces 64 features and 4-mers produces 256 features. We did not use feature higher than 4-mers as the number of feature increases exponentially and for 5-mers the number of feature would be 1024 features. We found out that the 4-mers produces better results than 2-mers and 3-mers. The data used in this work has an average length of 250, 500, 1000, and 2000 base pairs. Experimental results of the proposed algorithms are presented to show the potential value of the proposed methods. The proposed algorithm accuracy is tested on a variety of data sets and the classification/prediction accuracy achieved is between 78% - 99% for various simulated data sets using Random forest classifier and 37% - 95% using Naïve Bayes classifier. Random forest Classifier did better in classification in all the dataset compared to Naïve Bayes.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132118238","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 : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617413
A. Stînean, S. Preitl, R. Precup, C. Dragos, M. Radac, E. Petriu
This paper treats the design and implementation of a low-cost neuro-fuzzy control solution for a class of servo systems with an integral component and variable parameters. A hybrid Takagi-Sugeno PI-neuro-fuzzy controller (T-S PI-N-FC) is proposed and presented along with its relatively simple design approach. The solution carries out the on-line adaptation of a single parameter of the input membership functions of a Takagi-Sugeno PI-fuzzy controller with input integration (T-S PI-FC-II) by a single neuron trained by back propagation with momentum factor in the framework of a model reference adaptive controller structure. The second parameter of the input membership functions is tuned by the modal equivalence principle. Linear matrix inequalities are proposed as sufficient stability conditions to be fulfilled by the parameters of the rule consequents of the T-S PI-FC-II in order to guarantee the stable design of the hybrid T-S PI-N-FC. The solution is validated by a case study using a set of three process parameters that correspond to a strip winding system laboratory equipment. Digital simulation results and experimental results are given.
本文研究一类具有整元变参数的伺服系统的低成本神经模糊控制方案的设计与实现。提出了一种混合Takagi-Sugeno pi -神经模糊控制器(T-S PI-N-FC)，并给出了其相对简单的设计方法。该方案实现了在模型参考自适应控制器结构框架内，通过带动量因子的反向传播训练的单个神经元在线自适应具有输入积分的Takagi-Sugeno pi -模糊控制器(T-S PI-FC-II)的单个参数的输入隶属度函数。输入隶属函数的第二个参数采用模态等效原理进行调谐。提出了线性矩阵不等式作为T-S PI-FC-II规则结果参数满足的充分稳定性条件，以保证混合T-S PI-N-FC的稳定设计。该解决方案通过一个案例研究进行了验证，该研究使用了一组三个工艺参数，这些参数对应于条带缠绕系统的实验室设备。给出了数字仿真结果和实验结果。
{"title":"Low-cost neuro-fuzzy control solution for servo systems with variable parameters","authors":"A. Stînean, S. Preitl, R. Precup, C. Dragos, M. Radac, E. Petriu","doi":"10.1109/CIVEMSA.2013.6617413","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617413","url":null,"abstract":"This paper treats the design and implementation of a low-cost neuro-fuzzy control solution for a class of servo systems with an integral component and variable parameters. A hybrid Takagi-Sugeno PI-neuro-fuzzy controller (T-S PI-N-FC) is proposed and presented along with its relatively simple design approach. The solution carries out the on-line adaptation of a single parameter of the input membership functions of a Takagi-Sugeno PI-fuzzy controller with input integration (T-S PI-FC-II) by a single neuron trained by back propagation with momentum factor in the framework of a model reference adaptive controller structure. The second parameter of the input membership functions is tuned by the modal equivalence principle. Linear matrix inequalities are proposed as sufficient stability conditions to be fulfilled by the parameters of the rule consequents of the T-S PI-FC-II in order to guarantee the stable design of the hybrid T-S PI-N-FC. The solution is validated by a case study using a set of three process parameters that correspond to a strip winding system laboratory equipment. Digital simulation results and experimental results are given.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133823299","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 : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617411
M. G. D'Elia, Antonio Del Giudice, G. Graditi, V. Paciello
Today the number of phones in the world are more than five billion. In the last generation of phone there are a subset called smartphone, the use of this subset is growing. These devices are more and more sophisticated, capable of measuring many parameters from environment. In order to do that this smartphone is equipped with a several sensors and by means of an application (APP) that pick up the information from each sensor, it is possible to send, share, analyze, and display the measured data. Nevertheless, people could use this data without real information on accuracy of measured parameters. Thanks to these devices in the next few years there will be the opportunity to have a big wireless sensor network. With this paper the authors try to tackle the uncertainty question related to sensors suited to smart phone or any other android devices. The main goal has been to address this new idea implementing the first application that analyze a method of calibration with the aim of evaluating the uncertainty of sensors data.
{"title":"Measurement uncertainty on smart phone","authors":"M. G. D'Elia, Antonio Del Giudice, G. Graditi, V. Paciello","doi":"10.1109/CIVEMSA.2013.6617411","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617411","url":null,"abstract":"Today the number of phones in the world are more than five billion. In the last generation of phone there are a subset called smartphone, the use of this subset is growing. These devices are more and more sophisticated, capable of measuring many parameters from environment. In order to do that this smartphone is equipped with a several sensors and by means of an application (APP) that pick up the information from each sensor, it is possible to send, share, analyze, and display the measured data. Nevertheless, people could use this data without real information on accuracy of measured parameters. Thanks to these devices in the next few years there will be the opportunity to have a big wireless sensor network. With this paper the authors try to tackle the uncertainty question related to sensors suited to smart phone or any other android devices. The main goal has been to address this new idea implementing the first application that analyze a method of calibration with the aim of evaluating the uncertainty of sensors data.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116904584","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 : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617393
R. D. Labati, A. Genovese, V. Piuri, F. Scotti
Three-dimensional models of fingerprints obtained from contactless acquisitions have the advantages of reducing the distortion present in traditional contact-based samples and the effects of dirt on the finger and the sensor surface. Moreover, they permit to use a greater area for the biometric recognition. The design and test of three-dimensional reconstruction algorithms and contactless recognition methods require the collection of large databases. Since this task can be expensive and timeconsuming, some methods in the literature deal with the generation of synthetic biometric samples. At the best of our knowledge, however, there is only a preliminary study on the computation of small areas of synthetic three-dimensional fingerprints. In this paper, we extend our previous work and describe a virtual environment for the generation of complete threedimensional fingertip shapes, which can be useful for the research community working in the field of three-dimensional fingerprint biometrics. The method is based on image processing techniques and algorithms designed for biometric recognition. We validated the realism of the simulated models by comparing them with real contactless acquisitions. Results show that the method is feasible and produces realistic three-dimensional samples which can effectively be processed by biometric recognition algorithms.
{"title":"Accurate 3D fingerprint virtual environment for biometric technology evaluations and experiment design","authors":"R. D. Labati, A. Genovese, V. Piuri, F. Scotti","doi":"10.1109/CIVEMSA.2013.6617393","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617393","url":null,"abstract":"Three-dimensional models of fingerprints obtained from contactless acquisitions have the advantages of reducing the distortion present in traditional contact-based samples and the effects of dirt on the finger and the sensor surface. Moreover, they permit to use a greater area for the biometric recognition. The design and test of three-dimensional reconstruction algorithms and contactless recognition methods require the collection of large databases. Since this task can be expensive and timeconsuming, some methods in the literature deal with the generation of synthetic biometric samples. At the best of our knowledge, however, there is only a preliminary study on the computation of small areas of synthetic three-dimensional fingerprints. In this paper, we extend our previous work and describe a virtual environment for the generation of complete threedimensional fingertip shapes, which can be useful for the research community working in the field of three-dimensional fingerprint biometrics. The method is based on image processing techniques and algorithms designed for biometric recognition. We validated the realism of the simulated models by comparing them with real contactless acquisitions. Results show that the method is feasible and produces realistic three-dimensional samples which can effectively be processed by biometric recognition algorithms.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127017017","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 : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617392
Rajab Alsayegh, Leonid Paramonov, C. Makatsoris
In this paper a novel, highly interactive virtual environment for molecular design using gesture recognition is presented. The system is novel in its concept as it enables the user to directly manipulate molecular structures on the screen, in 3D space, allowing the exploration and visualisation of molecular interactions at different relative conformations. By a series of gestures, the user can pick and place molecular fragments and direct bond breaking and bond creating on the screen, which ultimately leading to chemically realisable molecular structures. Rigorous computational chemistry calculations assess the stereo-chemical feasibility and the interaction between those fragments as the user manipulates those objects on the screen. Users with limited knowledge of the structure of the molecules, who want to simulate the forces required for combining and separating the molecules, can use body gestures to interact with the digital world without using peripheral devices such as a keyboard and a mouse.
{"title":"A novel virtual environment for molecular system design","authors":"Rajab Alsayegh, Leonid Paramonov, C. Makatsoris","doi":"10.1109/CIVEMSA.2013.6617392","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617392","url":null,"abstract":"In this paper a novel, highly interactive virtual environment for molecular design using gesture recognition is presented. The system is novel in its concept as it enables the user to directly manipulate molecular structures on the screen, in 3D space, allowing the exploration and visualisation of molecular interactions at different relative conformations. By a series of gestures, the user can pick and place molecular fragments and direct bond breaking and bond creating on the screen, which ultimately leading to chemically realisable molecular structures. Rigorous computational chemistry calculations assess the stereo-chemical feasibility and the interaction between those fragments as the user manipulates those objects on the screen. Users with limited knowledge of the structure of the molecules, who want to simulate the forces required for combining and separating the molecules, can use body gestures to interact with the digital world without using peripheral devices such as a keyboard and a mouse.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124860795","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 : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617408
D. Kljajić, N. Djuric, K. Kasas-Lazetic
Electromagnetic (EM) fields are hardly noticeable and usually unknown for the general population. This unawareness and imperceptibility can generate distrust among the public, resulting in increased concerns on exposure to the EM radiation. The solution to these problems lies in the EM emission control, taking measurements and having a proper results presentation and communication with the public. Measurements turn the EM emissions into something objective and if presented to the public in an understandable format, they can help in diminishing unawareness and helplessness about the phenomenon of the EM field. As a support for the efforts to timely inform the public about real-time and overall level of EM field in the environment, our research team has started the development of the Serbian electromagnetic field monitoring network - SEMONT, intended for remote, continuous and intelligent, 24/365, broadband monitoring of EM fields. This paper considers the work in progress related to the development and testing of the SEMONT network and its Internet portal for the presentation of measurement results and the exposure assessment of general population.
{"title":"The SEMONT information network for intelligent EM field continuous monitoring","authors":"D. Kljajić, N. Djuric, K. Kasas-Lazetic","doi":"10.1109/CIVEMSA.2013.6617408","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617408","url":null,"abstract":"Electromagnetic (EM) fields are hardly noticeable and usually unknown for the general population. This unawareness and imperceptibility can generate distrust among the public, resulting in increased concerns on exposure to the EM radiation. The solution to these problems lies in the EM emission control, taking measurements and having a proper results presentation and communication with the public. Measurements turn the EM emissions into something objective and if presented to the public in an understandable format, they can help in diminishing unawareness and helplessness about the phenomenon of the EM field. As a support for the efforts to timely inform the public about real-time and overall level of EM field in the environment, our research team has started the development of the Serbian electromagnetic field monitoring network - SEMONT, intended for remote, continuous and intelligent, 24/365, broadband monitoring of EM fields. This paper considers the work in progress related to the development and testing of the SEMONT network and its Internet portal for the presentation of measurement results and the exposure assessment of general population.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121810230","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 : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617412
G. Rigatos, P. Siano, G. Ingenito
Controller design for autonomous 4-wheeled ground vehicles is performed with differential flatness theory. Using a 3-DOF nonlinear model of the vehicle's dynamics and through the application of differential flatness theory an equivalent model in linear canonical (Brunovksy) form is obtained. The processing of velocity measurements (provided by a small number of on-board sensors) through a Kalman Filter which has been redesigned in the form of a disturbance observer results in accurate identification of external disturbances affecting the vehicle's dynamic model. By including in the vehicle's controller an additional term that compensates for the estimated disturbance forces, the vehicle's motion characteristics remain unchanged.
{"title":"Kalman Filter-based compensation of disturbance forces and torques for AGVs","authors":"G. Rigatos, P. Siano, G. Ingenito","doi":"10.1109/CIVEMSA.2013.6617412","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617412","url":null,"abstract":"Controller design for autonomous 4-wheeled ground vehicles is performed with differential flatness theory. Using a 3-DOF nonlinear model of the vehicle's dynamics and through the application of differential flatness theory an equivalent model in linear canonical (Brunovksy) form is obtained. The processing of velocity measurements (provided by a small number of on-board sensors) through a Kalman Filter which has been redesigned in the form of a disturbance observer results in accurate identification of external disturbances affecting the vehicle's dynamic model. By including in the vehicle's controller an additional term that compensates for the estimated disturbance forces, the vehicle's motion characteristics remain unchanged.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126297220","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 : 2013-07-15DOI: 10.1109/CIVEMSA.2013.6617386
B. Kormanyos, B. Pataki
A daily activity simulator is proposed to help the development and test of algorithms needed in ambient assisted living projects. The simulator models the activities of a single human inhabitant in a home environment. The human inhabitant, his physical and social environment and the basic interactions among them are also modeled. The sequence of activities is controlled by the dynamically changing priorities of the human actions. It is just as the real life is, where the current most important needs trigger the activities performed by a human agent. The designed simulation runs at multiple abstraction levels; the activities are simulated using main, middle and bottom level actions and can interrupt each other. In addition to the activity simulation the sensors are also defined and the real-life sensor signals are simulated as well. The simulator is already in use in the development of a measurement scheduling system. Then we plan to create two instances of an experimental home environment, one is run by the simulator and the other inhabited by real persons, and compare the generated sensor data of both for many different scenarios. We also would like to create an intelligent feedback layer over the sensors.
{"title":"Multilevel simulation of daily activities: Why and how?","authors":"B. Kormanyos, B. Pataki","doi":"10.1109/CIVEMSA.2013.6617386","DOIUrl":"https://doi.org/10.1109/CIVEMSA.2013.6617386","url":null,"abstract":"A daily activity simulator is proposed to help the development and test of algorithms needed in ambient assisted living projects. The simulator models the activities of a single human inhabitant in a home environment. The human inhabitant, his physical and social environment and the basic interactions among them are also modeled. The sequence of activities is controlled by the dynamically changing priorities of the human actions. It is just as the real life is, where the current most important needs trigger the activities performed by a human agent. The designed simulation runs at multiple abstraction levels; the activities are simulated using main, middle and bottom level actions and can interrupt each other. In addition to the activity simulation the sensors are also defined and the real-life sensor signals are simulated as well. The simulator is already in use in the development of a measurement scheduling system. Then we plan to create two instances of an experimental home environment, one is run by the simulator and the other inhabited by real persons, and compare the generated sensor data of both for many different scenarios. We also would like to create an intelligent feedback layer over the sensors.","PeriodicalId":159100,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131695803","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：