R. Fat, L. Mic, A. O. Kilyen, M. M. Santa, T. Letia
{"title":"Model and method for the stock market forecast","authors":"R. Fat, L. Mic, A. O. Kilyen, M. M. Santa, T. Letia","doi":"10.1109/AQTR.2016.7501345","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501345","url":null,"abstract":"The price fluctuations of the stock market are relevant for any economy. A method to construct an expert system that predicts the stock prices evolution is proposed. The Expert's rules are modeled by Fuzzy Logic Enhanced Time Petri Net (FLETPN). This model guides the inference rules to get the answers related to the market evolution. The model is capable of describing the periodic behavior as well as the reaction to the asynchronous relevant events that influence the market. The expert's rules are tuned by a genetic algorithm. The monitoring information of the market from the past evolution is used to improve the fuzzy logic rules (i.e., the expert system). The application of the method on the market evolution is used to evaluate the method forecast quality.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125039377","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":"Modelling and identification of a coupled sextuple water tank system","authors":"A. Maxim, C. Ionescu, R. Keyser","doi":"10.1109/AQTR.2016.7501360","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501360","url":null,"abstract":"This paper presents the modelling and identification procedure applied to a coupled, non-minimum phase system consisting of six water tanks. This process is composed of three inter-connected sub-systems coupled through the inputs. Using the process description, the theoretical nonlinear model was derived and linearised around a chosen operating point. After that, a three part experiment was conducted on the sextuple plant from Quanser in which one of the system's inputs was varied while the others remained constant. The experimental data was used to compute the system's static characteristic which describes the output variation limits for different input values. Then, the dynamic characteristic was used to analyse the system evolution in transient time to provide insight knowledge about the model orders required in the parametric identification. The results obtained clearly show that the computed linear model proper characterizes the dynamics of the real process and can be further used in simulations.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128835994","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":"Real time energy management for hybrid electric boat applications — Using variable speed diesel generator and lithium-battery","authors":"M. Camara, B. Dakyo","doi":"10.1109/AQTR.2016.7501371","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501371","url":null,"abstract":"This paper presents energy management improvement for a Hybrid Electric Boat (HEB) applications using frequency approach. A variable speed Diesel-Permanent Magnet Generator (Diesel-PMG) is assisted by the lithium-battery to satisfy energetic demand of HEB. The lithium-battery module is connected to DC-bus through a buck-boost converter, and that of the variable speed Diesel Generator, it is connected to DC-bus using three phase controlled rectifier. The two DC/AC converters connected to two electric motors are used as thrusters system which enables to emulate energetic demand of Hybrid Electric Boat (HEB) in propulsion operations. The power requirement of thrusters is added to embedded appliances demand to obtain load's profile. The contribution of this paper is focused on load's profile sharing between a variable speed Diesel Generator and Lithium-battery according to the dynamic responses of sources. The performances of proposed method are evaluated through some simulations using MATALB/Simulink software and experimental tests in reduced scale.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"76 6 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123220292","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":"Cyber-physical system dependability enhancement through data mining","authors":"T. Sanislav, Karla Merza, G. Mois, L. Miclea","doi":"10.1109/AQTR.2016.7501297","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501297","url":null,"abstract":"The research presented in the current paper addresses the use of data mining techniques for enhancing the dependability characteristic in the case of cyber-physical systems. A cyber-physical system for environmental monitoring was considered as a case study. In this context, the main task of data mining is to predict the missing sensor values caused by hardware and software components malfunctions. Different versions of a data mining regression algorithm were tested on the case study system, based on a well known data mining methodology. The test results show that the algorithms taken into consideration can predict sensor data with satisfactory accuracy, leading to a decreased failure rate of the system.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"72 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115706640","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":"Model based control strategies for a class of nonlinear mechanical sub-systems","authors":"C. Ionescu, R. Keyser","doi":"10.1109/AQTR.2016.7501378","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501378","url":null,"abstract":"This paper presents a comparison between various control strategies for a class of mechanical actuators common in heavy-duty industry. Typical actuator components are hydraulic or pneumatic elements with static non-linearities, which are commonly referred to as Hammerstein systems. Such static non-linearities may vary in time as a function of the load and hence classical inverse-model based control strategies may deliver sub-optimal performance. This paper investigates the ability of advanced model based control strategies to satisfy a tolerance interval for position error values, overshoot and settling time specifications. Due to the presence of static non-linearity requiring changing direction of movement, control effort is also evaluated in terms of zero crossing frequency (up-down or left-right movement). Simulation and experimental data from a lab setup suggest that sliding mode control is able to improve global performance parameters.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126656695","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":"Multivariable control of sextuple tank system with non-minimum phase dynamics","authors":"D. Copot, A. Maxim, R. Keyser, C. Ionescu","doi":"10.1109/AQTR.2016.7501361","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501361","url":null,"abstract":"In this paper we present experimental results of a multivariable linear predictive control strategy applied to a coupled, non-minimum phase dynamics system of six coupled water tanks with 3 controlled water levels (cm) and 3 manipulated pump outputs (V). The setup can be considered as three interacting sub-systems, with coupled dynamics due to the specific water flow directions. The experimental results indicate that the proposed strategy is robust to significant modelling errors, while maintaining good performance.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124270186","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}
S. Ignat, I. Stoian, D. Capatina, O. Ghiran, S. Agachi
{"title":"3D GUI for flash floods modeling: Applications in river catchments","authors":"S. Ignat, I. Stoian, D. Capatina, O. Ghiran, S. Agachi","doi":"10.1109/AQTR.2016.7501399","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501399","url":null,"abstract":"Accurate prediction of flood extents in river catchments happen to be a challenging issue. Paper exposes numerical simulation techniques of flooding circumstances, induced by flash floods, dams/ dykes breaking. The results reveal that the Computational Fluid Dynamics approach for floods modeling is skillful to adequately replicate the foremost aspects of the floods routing. Supplying warnings with an suitable probability period on the incidence of flash flood actions moderate its effect and provide considerable public and economical advantages. It is presented an integrated model that simulates the river-network and 3D mesh-network to get acceptable flood extents. The software application employed to support these investigations is called OpenFOAM, representing an open-source CFD library destinated for hydraulic structures analysis. OpenFOAM can be operated to simulate composite fluid flows involving floods and flash floods propagation, turbulence and mass transfer. A Graphical User Interface component was build to facilitate simulation sessions setup. In order to do a wide-ranging investigation and an reliable simulation of such composite flow, was developed a GUI component intended for flash floods effects visualization, rooted in a critical system approach.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124973287","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}
M. Baldea, Cara R. Touretzky, Jungup Park, R. Pattison, Iiro Harjunkoski
{"title":"Handling input dynamics in integrated scheduling and control","authors":"M. Baldea, Cara R. Touretzky, Jungup Park, R. Pattison, Iiro Harjunkoski","doi":"10.1109/AQTR.2016.7501358","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501358","url":null,"abstract":"Coordinating production scheduling decisions with the process control system requires considering the evolution of the process over multiple time scales and at multiple levels of detail. From a mathematical perspective, this requires dealing with process models that are large-scale, ill-conditioned and involve both continuous and discrete variables (the former related to physical states, while the latter reflect production management decisions). In this paper, we introduce a novel methodology for time scale-bridging between production scheduling and process control. We use process operating data to obtain low-order models of the closed-loop behavior of the process, which are then incorporated in the production scheduling framework. The theoretical developments are accompanied by an illustrative case study on a methyl methacrylate process, showing excellent economic results and significantly improved computational performance.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128886710","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}
N. Stroia, D. Moga, E. Vitan, G. Cosovici, Corneliu Lungoci, I. Kovacs, M. Mircea
{"title":"Internet based SCADA platform for monitoring strategic hydrotechnical structures","authors":"N. Stroia, D. Moga, E. Vitan, G. Cosovici, Corneliu Lungoci, I. Kovacs, M. Mircea","doi":"10.1109/AQTR.2016.7501397","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501397","url":null,"abstract":"This paper presents an Internet based SCADA platform for monitoring the structures of a hydropower plant. The remote monitoring system communicates through TCP/IP sockets with the embedded gateway module interfacing the sensor network, facilitating configuration of the sensors, acquisition and archiving of the measurements, visualization of the data in real-time or of the archived data, as well as alarming and alarm history. Standard formats such as XML, SMIL, CSV are used for data representation allowing easy import of the data in database/data analysis applications.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129071318","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 approach to assess maintainability change","authors":"S. Motogna, A. Vescan, C. Serban, P. Tirban","doi":"10.1109/AQTR.2016.7501279","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501279","url":null,"abstract":"Maintenance is a very expensive activity in the software systems' lifecycle. The ISO 25010 standard considers it as one of its main eight characteristics. In this paper, we propose an approach to assess the maintainability characteristic by its own subcharacteristics as defined by ISO 25010, using several object oriented metrics. A set of rules is defined to capture the influence of the metrics values over each subcharacteristic. The rules are then used in the maintainability change assessment process. A case study that uses two software versions is discussed in order to validate our approach.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127572200","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}