Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751798
M. Elhag, M. Selçuk Arslan
Sensors are essential in powertrain engineering and exhaust aftertreatment systems due to the increasing need for high performance and fewer emissions. Mostly in diesel oxidation catalysts, the upstream and downstream temperature sensors are attached to the vehicle until their models get calibrated then removed in the end-user version. The modeling process is both extravagant and time-consuming as it requires engine and chassis dynamometers. In fact, these temperature models are used in the monitoring of CO emission level and as inputs to calculate the other exhaust aftertreatment system components' efficiencies. The purpose of this paper is to investigate the use of long short-term memory networks in the automotive sector by generating a model for the diesel oxidation catalyst upstream and downstream temperatures as an example. Measurements from engine sensors and actuators position feedback were recorded from a vehicle and used as training and validation data. After sufficient training, the model was utilized to evaluate and predict the modeled oxidation catalyst upstream and downstream temperatures.
{"title":"Modeling Diesel Oxidation Catalyst Upstream and Downstream Exhaust Gas Temperatures Using LSTM RNN","authors":"M. Elhag, M. Selçuk Arslan","doi":"10.1109/CEIT.2018.8751798","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751798","url":null,"abstract":"Sensors are essential in powertrain engineering and exhaust aftertreatment systems due to the increasing need for high performance and fewer emissions. Mostly in diesel oxidation catalysts, the upstream and downstream temperature sensors are attached to the vehicle until their models get calibrated then removed in the end-user version. The modeling process is both extravagant and time-consuming as it requires engine and chassis dynamometers. In fact, these temperature models are used in the monitoring of CO emission level and as inputs to calculate the other exhaust aftertreatment system components' efficiencies. The purpose of this paper is to investigate the use of long short-term memory networks in the automotive sector by generating a model for the diesel oxidation catalyst upstream and downstream temperatures as an example. Measurements from engine sensors and actuators position feedback were recorded from a vehicle and used as training and validation data. After sufficient training, the model was utilized to evaluate and predict the modeled oxidation catalyst upstream and downstream temperatures.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132725364","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751808
Jacques Wattel, U. Minnaar, Pieter Uys, J. Beukes
Power quality on South Africa’s low voltage networks is largely unmonitored and not well understood. Regulatory requirements in South Africa requires utilities to monitor power quality at every 1 in 20 000 customers. Smart grids and smart metering is an ever-evolving field with the number of smart meters rising rapidly. This paper introduces the concept of monitoring power quality parameters on the low voltage networks using smart meters. Utilizing smart meters to monitor power quality on low voltage networks will allow utilities to comply with regulatory requirements in a cost-effective way. In this paper an experimental meter is used to evaluate the capabilities of smart meters to perform Fourier transforms on voltage and current to calculate harmonics. Experimental results prove this capability.
{"title":"Low Voltage Power Quality Assessment using Smart Meters","authors":"Jacques Wattel, U. Minnaar, Pieter Uys, J. Beukes","doi":"10.1109/CEIT.2018.8751808","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751808","url":null,"abstract":"Power quality on South Africa’s low voltage networks is largely unmonitored and not well understood. Regulatory requirements in South Africa requires utilities to monitor power quality at every 1 in 20 000 customers. Smart grids and smart metering is an ever-evolving field with the number of smart meters rising rapidly. This paper introduces the concept of monitoring power quality parameters on the low voltage networks using smart meters. Utilizing smart meters to monitor power quality on low voltage networks will allow utilities to comply with regulatory requirements in a cost-effective way. In this paper an experimental meter is used to evaluate the capabilities of smart meters to perform Fourier transforms on voltage and current to calculate harmonics. Experimental results prove this capability.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128818759","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751874
Can Palaz, Emre Yönel
Hybrid electric vehicles (HEV) provide an acceptable compromise in the transition from fossil fuel based to electric based transportation while introducing additional complexity due to added degrees of freedom. In parallel, the increasing connectivity of modern vehicles contributes to the information available for decision making and controls. In this work, a predictive energy management strategy based around model predictive control (MPC) techniques is implemented and tested on model-in-the-loop (MiL) and hardware-in-the-loop (HiL) environments with models mainly derived with first principles. The components of the implementation, including the derivation of the prediction model, constraints, and selection of prediction horizon, are explained in detail. The factors that affect the prediction, i.e. elevation profile of the road ahead and velocity profile, and their effect to prediction are described. Finally, the differences between the MiL and HiL test results are analyzed.
{"title":"Design and Implementation of Predictive Energy Management For Range Extended Electric Vehicles","authors":"Can Palaz, Emre Yönel","doi":"10.1109/CEIT.2018.8751874","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751874","url":null,"abstract":"Hybrid electric vehicles (HEV) provide an acceptable compromise in the transition from fossil fuel based to electric based transportation while introducing additional complexity due to added degrees of freedom. In parallel, the increasing connectivity of modern vehicles contributes to the information available for decision making and controls. In this work, a predictive energy management strategy based around model predictive control (MPC) techniques is implemented and tested on model-in-the-loop (MiL) and hardware-in-the-loop (HiL) environments with models mainly derived with first principles. The components of the implementation, including the derivation of the prediction model, constraints, and selection of prediction horizon, are explained in detail. The factors that affect the prediction, i.e. elevation profile of the road ahead and velocity profile, and their effect to prediction are described. Finally, the differences between the MiL and HiL test results are analyzed.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114714764","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751897
B. Ali, N. Benalia, Nadia Zerzouri Nora
There is an exponential growth of solar photovoltaic technology for energy generation in comparison with the conventional and other renewable energy sources. Sun energy is the best option for power generation as it is available everywhere and is free to operate. Shading is one of the most important aspects that affect performances of PV systems. The first purpose of this paper is modeling and simulation of a five parameters photovoltaic cell and illustration of its electrical characteristics under standard test conditions (STC) and under environment condition variation using Matlab/Simulink software. The second purpose is to study influence of partial shading on the current-voltage characteristics and on output power of the PV system with and without bypass diode.
{"title":"Effect of Partial Shading on the PV System Performances","authors":"B. Ali, N. Benalia, Nadia Zerzouri Nora","doi":"10.1109/CEIT.2018.8751897","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751897","url":null,"abstract":"There is an exponential growth of solar photovoltaic technology for energy generation in comparison with the conventional and other renewable energy sources. Sun energy is the best option for power generation as it is available everywhere and is free to operate. Shading is one of the most important aspects that affect performances of PV systems. The first purpose of this paper is modeling and simulation of a five parameters photovoltaic cell and illustration of its electrical characteristics under standard test conditions (STC) and under environment condition variation using Matlab/Simulink software. The second purpose is to study influence of partial shading on the current-voltage characteristics and on output power of the PV system with and without bypass diode.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116915608","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751756
F. Hamidia, A. Abbadi, M. Boucherit
The rapid depletion of global fossil fuel resources has necessitated urgent research for renewable energy sources. Nowadays, there are many forms of renewable energy, the most commonly used are: solar, wind and hydraulic. Wind water pumping system is considered as a promising application of renewable energy industry sustained by the increased interest on sustainable development and the reduction of greenhouse effect.This paper focuses on developing of pumping system supplied by wind turbine source; and to reach the maximum power point (MPPT), this technique is based on Artificial Neural Network to get better performance especially because these intelligent techniques do not require a precise model, we added to our system a battery and DC voltage controller based also on ANN.Finally, simulation results are given to show the effectiveness and feasibility of the approach.
{"title":"Wind Water Pumping System Based on ANN","authors":"F. Hamidia, A. Abbadi, M. Boucherit","doi":"10.1109/CEIT.2018.8751756","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751756","url":null,"abstract":"The rapid depletion of global fossil fuel resources has necessitated urgent research for renewable energy sources. Nowadays, there are many forms of renewable energy, the most commonly used are: solar, wind and hydraulic. Wind water pumping system is considered as a promising application of renewable energy industry sustained by the increased interest on sustainable development and the reduction of greenhouse effect.This paper focuses on developing of pumping system supplied by wind turbine source; and to reach the maximum power point (MPPT), this technique is based on Artificial Neural Network to get better performance especially because these intelligent techniques do not require a precise model, we added to our system a battery and DC voltage controller based also on ANN.Finally, simulation results are given to show the effectiveness and feasibility of the approach.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117021228","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751868
Saygın Ay, M. Kutay, Tuncay Ercan
Manipulators serve worldwide to increase quality requirements and speed up the production of the manufacturing industry. Typical applications of manipulators include welding, painting, ironing, assembly, picking and placing, product inspection. In this study, we focus on designing and implementing a low-cost training manipulator set for "Robotic and Control Laboratory" in the University. The set includes two 6-DOF manipulators controlled in coordination by Raspberry PI computer using Codesys platform. Manipulators can move to the desired coordinates through forward kinematic calculations The link transformation matrices for each joint are obtained by the Denavit-Hartenberg (DH) conventions. Due to complexity of transformation matrices, Matlab program is used to solve the matrix equations and the calculation results are transferred to Codesys environment. Codesys control application creates a virtual PLC functionality for Raspberry PI that communicates with servo control board by I2C communication protocol. Servo control board generates Pulse Width Modulation (PWM) signals applied to servo driver motors for obtaining the desired movements. In order to ease the user-manipulator interactions, a web-based interface is developed for running on a tablet PC or smart phones. Students use the set successfully for various practices in the laboratory.
{"title":"A Low Cost Manipulator Training Set","authors":"Saygın Ay, M. Kutay, Tuncay Ercan","doi":"10.1109/CEIT.2018.8751868","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751868","url":null,"abstract":"Manipulators serve worldwide to increase quality requirements and speed up the production of the manufacturing industry. Typical applications of manipulators include welding, painting, ironing, assembly, picking and placing, product inspection. In this study, we focus on designing and implementing a low-cost training manipulator set for \"Robotic and Control Laboratory\" in the University. The set includes two 6-DOF manipulators controlled in coordination by Raspberry PI computer using Codesys platform. Manipulators can move to the desired coordinates through forward kinematic calculations The link transformation matrices for each joint are obtained by the Denavit-Hartenberg (DH) conventions. Due to complexity of transformation matrices, Matlab program is used to solve the matrix equations and the calculation results are transferred to Codesys environment. Codesys control application creates a virtual PLC functionality for Raspberry PI that communicates with servo control board by I2C communication protocol. Servo control board generates Pulse Width Modulation (PWM) signals applied to servo driver motors for obtaining the desired movements. In order to ease the user-manipulator interactions, a web-based interface is developed for running on a tablet PC or smart phones. Students use the set successfully for various practices in the laboratory.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117024121","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751751
Bendjillali Ridha Ilyas, Beladgham Mohammed, M. Khaled, Abdelmalik Taleb Ahmed
To recognize and automatically identify the identities of individuals, there are several biometric identification systems based on physiological and behavioral characteristics, in our work we are interested in face recognition, which is a recent biometric authentication technology. This technology offers a reasonable level of precision. In this paper, we propose a method of biometric recognition of a person by their face using the wavelet transform. For our application, we have opted for different types of wavelets in order to decompose the region of interest. The evaluation and judgment of each type in relation to the other is given by the calculation of the parameters Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). The experimental results were performed using the FEI database.
{"title":"Wavelet-Based Facial recognition","authors":"Bendjillali Ridha Ilyas, Beladgham Mohammed, M. Khaled, Abdelmalik Taleb Ahmed","doi":"10.1109/CEIT.2018.8751751","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751751","url":null,"abstract":"To recognize and automatically identify the identities of individuals, there are several biometric identification systems based on physiological and behavioral characteristics, in our work we are interested in face recognition, which is a recent biometric authentication technology. This technology offers a reasonable level of precision. In this paper, we propose a method of biometric recognition of a person by their face using the wavelet transform. For our application, we have opted for different types of wavelets in order to decompose the region of interest. The evaluation and judgment of each type in relation to the other is given by the calculation of the parameters Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). The experimental results were performed using the FEI database.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121941983","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751891
Engin Cemal Menguc
In this study, we propose an adaptive Fourier linear combiner (FLC) based on a modified least mean kurtosis (LMK) algorithm for canceling the sinusoidal noise signals from the desired signals. In the proposed framework, the weight coefficients of the FLC are adjusted by using the modified LMK algorithm instead of the conventional least mean square (LMS) algorithm. The fundamental reasons for using the proposed LMK algorithm in the FLC are that it provides a fast convergence rate, a lower steady-state error and a robust behavior against sinusoidal noise distributions. The performance of the proposed FLC algorithm is assessed on the noise canceling problem by comparing that of the conventional FLC based on the LMS algorithm. The simulation results demonstrate that the proposed FLC based the modified LMK algorithm outperforms its conventional LMS algorithm in terms of the convergence rate and the steady-state error.
{"title":"Adaptive Fourier Linear Combiner based on Modified Least Mean Kurtosis Algorithm","authors":"Engin Cemal Menguc","doi":"10.1109/CEIT.2018.8751891","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751891","url":null,"abstract":"In this study, we propose an adaptive Fourier linear combiner (FLC) based on a modified least mean kurtosis (LMK) algorithm for canceling the sinusoidal noise signals from the desired signals. In the proposed framework, the weight coefficients of the FLC are adjusted by using the modified LMK algorithm instead of the conventional least mean square (LMS) algorithm. The fundamental reasons for using the proposed LMK algorithm in the FLC are that it provides a fast convergence rate, a lower steady-state error and a robust behavior against sinusoidal noise distributions. The performance of the proposed FLC algorithm is assessed on the noise canceling problem by comparing that of the conventional FLC based on the LMS algorithm. The simulation results demonstrate that the proposed FLC based the modified LMK algorithm outperforms its conventional LMS algorithm in terms of the convergence rate and the steady-state error.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121977809","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751782
Ali Yüce, N. Tan, Tufan Dogruer
The analysis of the open loop system in the design of the closed loop control systems is very important and useful in terms of being able to learn how the closed loop system will behave. In this paper, root locus graph of fractional order transfer function is plotted with the developed application using LabVIEW graphical programming language. A user panel has been designed using the LabVIEW graphical programming language. Interactive user panel is basic and user friendly for the computation and analysis. The root locus graph of the fractional order transfer function can interactively be plotted. Matsuda method is preferred for integer order approximation. With the interactive feature of developed application, the unit step response of closed loop control system can be plotted for a selected gain on the root locus graph panel. The application which has a rich graphical interface and interactive feature can also be used in teaching of fractional order control theory.
{"title":"Root-Locus Analysis of Fractional Order Transfer Functions Using LabVIEW: An Interactive Application","authors":"Ali Yüce, N. Tan, Tufan Dogruer","doi":"10.1109/CEIT.2018.8751782","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751782","url":null,"abstract":"The analysis of the open loop system in the design of the closed loop control systems is very important and useful in terms of being able to learn how the closed loop system will behave. In this paper, root locus graph of fractional order transfer function is plotted with the developed application using LabVIEW graphical programming language. A user panel has been designed using the LabVIEW graphical programming language. Interactive user panel is basic and user friendly for the computation and analysis. The root locus graph of the fractional order transfer function can interactively be plotted. Matsuda method is preferred for integer order approximation. With the interactive feature of developed application, the unit step response of closed loop control system can be plotted for a selected gain on the root locus graph panel. The application which has a rich graphical interface and interactive feature can also be used in teaching of fractional order control theory.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121995566","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 : 2018-10-01DOI: 10.1109/CEIT.2018.8751934
Muhammed Oguz Tas, Hasan Serhan YAVUZ, A. Yazıcı
Autonomous robots are increasingly used in many fields to perform some special tasks. Autonomous transfer vehicles (ATV) in smart factories are one of the most critical components of industry 4.0. Mapping is the key process for the long term successful operation of ATVs. Although, robotic mapping is enough for the autonomous navigation of an ATV, high definition (HD) maps are required to perform the perfect behavior and ensure better interactions with the environment. HD maps can be created manually, but updating the maps is an open problem for sustainability of the performance. In this study, an HD-map update strategy is proposed for ATVs that operate in smart factories.
{"title":"Updating HD-Maps for Autonomous Transfer Vehicles in Smart Factories","authors":"Muhammed Oguz Tas, Hasan Serhan YAVUZ, A. Yazıcı","doi":"10.1109/CEIT.2018.8751934","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751934","url":null,"abstract":"Autonomous robots are increasingly used in many fields to perform some special tasks. Autonomous transfer vehicles (ATV) in smart factories are one of the most critical components of industry 4.0. Mapping is the key process for the long term successful operation of ATVs. Although, robotic mapping is enough for the autonomous navigation of an ATV, high definition (HD) maps are required to perform the perfect behavior and ensure better interactions with the environment. HD maps can be created manually, but updating the maps is an open problem for sustainability of the performance. In this study, an HD-map update strategy is proposed for ATVs that operate in smart factories.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126126531","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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