Pub Date : 2017-10-01DOI: 10.1109/ICAT.2017.8171637
A. Wulf, T. Naumann, W. Endemann, R. Kays
Designing wireless industrial communication for factory automation is a serious task because novel radio systems have to compete with well established wired fieldbus solutions. The requirements to achieve equivalent reliability and latencies impose challenging demands on design and implementation. In this paper, we propose a hardware accelerator for highly adaptive and parallel medium access allowing seamless integration and interoperation with existing fieldbus systems. A reference implementation of this medium access control (MAC) accelerator using parallel sequence spread spectrum (PSSS) as the physical layer technology is presented and analyzed for scalability and timing. The comparison between different kinds of network traffic in a parallel medium access reveals how the demands on acceleration are interrelated with the data timing requirements.
{"title":"Message-based MAC accelerator for time-critical industrial communication","authors":"A. Wulf, T. Naumann, W. Endemann, R. Kays","doi":"10.1109/ICAT.2017.8171637","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171637","url":null,"abstract":"Designing wireless industrial communication for factory automation is a serious task because novel radio systems have to compete with well established wired fieldbus solutions. The requirements to achieve equivalent reliability and latencies impose challenging demands on design and implementation. In this paper, we propose a hardware accelerator for highly adaptive and parallel medium access allowing seamless integration and interoperation with existing fieldbus systems. A reference implementation of this medium access control (MAC) accelerator using parallel sequence spread spectrum (PSSS) as the physical layer technology is presented and analyzed for scalability and timing. The comparison between different kinds of network traffic in a parallel medium access reveals how the demands on acceleration are interrelated with the data timing requirements.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122940984","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171643
A. Rasool, Fiaz Ahmad, A. Sabanoviç
This paper proposes a novel control method for voltage source converter (VSC) connected to grid under unbalanced voltage conditions. The method is based on utilizing the full control capabilities of the switching converter. The proposed method makes the voltage source inverter (VSI) supply the voltages according to the requirements of the load and/or grid. The method is tested with both the balanced and unbalanced cases of the grid. The grid's average voltage serves as the reference for the average voltage at the converter's output alongside the active and reactive power's set-point requirements. The mathematical formulation of the proposed method is given in detail and simulations are done in MATLAB/Simulink® to validate the effectiveness of the proposed method.
{"title":"Voltage source converter control under unbalanced grid voltage conditions","authors":"A. Rasool, Fiaz Ahmad, A. Sabanoviç","doi":"10.1109/ICAT.2017.8171643","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171643","url":null,"abstract":"This paper proposes a novel control method for voltage source converter (VSC) connected to grid under unbalanced voltage conditions. The method is based on utilizing the full control capabilities of the switching converter. The proposed method makes the voltage source inverter (VSI) supply the voltages according to the requirements of the load and/or grid. The method is tested with both the balanced and unbalanced cases of the grid. The grid's average voltage serves as the reference for the average voltage at the converter's output alongside the active and reactive power's set-point requirements. The mathematical formulation of the proposed method is given in detail and simulations are done in MATLAB/Simulink® to validate the effectiveness of the proposed method.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121993368","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171645
A. Jahic, T. Konjic, J. Hivziefendic
In a power distribution network, network topology information is essential for an efficient operation of the network. This information is not accurately available, due to uninformed changes that happen from time to time, or uncertain meter readings. Reliable prediction of system status is a highly demanded functionality of smart energy systems, which can enable users or human operators to react quickly to potential future system changes. This paper presents potential of artificial neural networks to determine missing power meter readings in medium voltage (MV) networks where the number of on-line measurements is limited, and state estimation relies heavily on estimates of power injections. The applicability of the approach is demonstrated through simulation using supervisory control and data acquisition and smart meter measurements recorded from an actual MV distribution network. Results are showing that artificial neural networks can have 100% measurements detection accuracy.
{"title":"Detection of missing power meter readings using artificial neural networks","authors":"A. Jahic, T. Konjic, J. Hivziefendic","doi":"10.1109/ICAT.2017.8171645","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171645","url":null,"abstract":"In a power distribution network, network topology information is essential for an efficient operation of the network. This information is not accurately available, due to uninformed changes that happen from time to time, or uncertain meter readings. Reliable prediction of system status is a highly demanded functionality of smart energy systems, which can enable users or human operators to react quickly to potential future system changes. This paper presents potential of artificial neural networks to determine missing power meter readings in medium voltage (MV) networks where the number of on-line measurements is limited, and state estimation relies heavily on estimates of power injections. The applicability of the approach is demonstrated through simulation using supervisory control and data acquisition and smart meter measurements recorded from an actual MV distribution network. Results are showing that artificial neural networks can have 100% measurements detection accuracy.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116588579","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171597
E. Gromova, A. Tur
In the paper we consider a class of the differential games with random duration, hence with either the random terminal (T) or the initial (T0) time of the game. Within this context we investigate the problem of whether the integral payoff transformation used is most applications can be performed. We prove that the availability of such transformation is subject to a special condition on the utility function and the cumulative distribution function F(t). The presented result is extended in several directions. Two examples illustrating our theoretical results are presented.
{"title":"On the form of integral payoff in differential games with random duration","authors":"E. Gromova, A. Tur","doi":"10.1109/ICAT.2017.8171597","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171597","url":null,"abstract":"In the paper we consider a class of the differential games with random duration, hence with either the random terminal (T) or the initial (T0) time of the game. Within this context we investigate the problem of whether the integral payoff transformation used is most applications can be performed. We prove that the availability of such transformation is subject to a special condition on the utility function and the cumulative distribution function F(t). The presented result is extended in several directions. Two examples illustrating our theoretical results are presented.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125720533","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171603
Delila Halac, E. Sokic, E. Turajlić
Digital image processing techniques are commonly employed for food classification in an industrial environment. In this paper, we propose the use of supervised learning methods, namely multi-class support vector machines and artificial neural networks to perform classification of different type of almonds. In the process of defining the feature vectors, the proposed method has relied on the principal component analysis to identify the most significant shape and color parameters. The comparative analysis of considered classification algorithms has shown that the higher levels of accuracy in almond classification are attained when support vector machine are used as the basis for classification, rather than artificial neural networks. Moreover, the experimental results have demonstrated that the proposed method exhibits significant levels of robustness and computational efficiency to facilitate the use in the real-time applications. In addition, for the purpose of this paper, a dataset of almond images containing various classes of almonds is formed and made freely available to be used by other researchers in this field.
{"title":"Almonds classification using supervised learning methods","authors":"Delila Halac, E. Sokic, E. Turajlić","doi":"10.1109/ICAT.2017.8171603","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171603","url":null,"abstract":"Digital image processing techniques are commonly employed for food classification in an industrial environment. In this paper, we propose the use of supervised learning methods, namely multi-class support vector machines and artificial neural networks to perform classification of different type of almonds. In the process of defining the feature vectors, the proposed method has relied on the principal component analysis to identify the most significant shape and color parameters. The comparative analysis of considered classification algorithms has shown that the higher levels of accuracy in almond classification are attained when support vector machine are used as the basis for classification, rather than artificial neural networks. Moreover, the experimental results have demonstrated that the proposed method exhibits significant levels of robustness and computational efficiency to facilitate the use in the real-time applications. In addition, for the purpose of this paper, a dataset of almond images containing various classes of almonds is formed and made freely available to be used by other researchers in this field.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133456282","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171615
Ahmet Cagri Arican, Sinan Ozcan, Bedrettin Mahmut Kocagil, U. M. Guzey, M. U. Salamci
The paper presents the application of State Dependent Riccati Equation (SDRE) based optimal controller design for nonlinear systems. Optimal controller is designed in local sense to minimize a given quadratic performance index, leading to well-known Linear Quadratic Regulator (LQR) problem and the optimal controller is updated at each sampling time to cope with the nonlinear dynamics. Since the SDRE based optimal controller is designed by freezing the nonlinear system at some sampling periods, the effect of sampling period on the performance index is studied. The SDRE based optimal controller is designed for an experimental setup of a 3 DOF Helicopter and implemented on the setup for different working frequencies. The performance index and therefore the values of the cost function is then computed for different working frequencies. Experimental studies reveals that an increased sampling period results in decreased value of the cost function.
{"title":"Suboptimal control of a 3 dof helicopter with state dependent riccati equations","authors":"Ahmet Cagri Arican, Sinan Ozcan, Bedrettin Mahmut Kocagil, U. M. Guzey, M. U. Salamci","doi":"10.1109/ICAT.2017.8171615","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171615","url":null,"abstract":"The paper presents the application of State Dependent Riccati Equation (SDRE) based optimal controller design for nonlinear systems. Optimal controller is designed in local sense to minimize a given quadratic performance index, leading to well-known Linear Quadratic Regulator (LQR) problem and the optimal controller is updated at each sampling time to cope with the nonlinear dynamics. Since the SDRE based optimal controller is designed by freezing the nonlinear system at some sampling periods, the effect of sampling period on the performance index is studied. The SDRE based optimal controller is designed for an experimental setup of a 3 DOF Helicopter and implemented on the setup for different working frequencies. The performance index and therefore the values of the cost function is then computed for different working frequencies. Experimental studies reveals that an increased sampling period results in decreased value of the cost function.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129464534","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171631
G. Sciortino, D. Tegolo, Cesare Valenti
Ultrasound imaging is a well known noninvasive way to evaluate various diseases during the prenatal age. In particular, the thickness measure of the nuchal transucency is strictly correlated with pathologies like trisomy 13, 18 and 21. For a correct investigation, the methodology needs mid-sagittal sections and the proposed approach is based on wavelet analysis and neural network classifiers to locate components useful to identify mid-sagittal planes. To evaluate the performance and the robustness of the methodology, real clinical ultrasound images were considered, obtaining an average error of at most 0.3 millimeters in 97.4% of the cases.
{"title":"A non-supervised approach to locate and to measure the nuchal translucency by means of wavelet analysis and neural networks","authors":"G. Sciortino, D. Tegolo, Cesare Valenti","doi":"10.1109/ICAT.2017.8171631","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171631","url":null,"abstract":"Ultrasound imaging is a well known noninvasive way to evaluate various diseases during the prenatal age. In particular, the thickness measure of the nuchal transucency is strictly correlated with pathologies like trisomy 13, 18 and 21. For a correct investigation, the methodology needs mid-sagittal sections and the proposed approach is based on wavelet analysis and neural network classifiers to locate components useful to identify mid-sagittal planes. To evaluate the performance and the robustness of the methodology, real clinical ultrasound images were considered, obtaining an average error of at most 0.3 millimeters in 97.4% of the cases.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121328035","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171599
A. Aksjonov, Pavel Nedoma, V. Vodovozov, E. Petlenkov, M. Herrmann
A novel method for evaluating driver distraction and situation awareness while performing a secondary task using a fuzzy set theory is proposed in this paper. A fuzzy inference engine realization process based on simple matrix operations is described in detail. The drivers' performance is evaluated referring to the vehicle behavior, in particular, the abilities to keep the vehicle in the center of the lane and to observe the speed limit. The evaluation technique was tested on a vehicle mock-up driving simulator. Text messaging on a cell phone is studied as a secondary distractive activity. Driver-in-the-loop experimental results as well as the conclusions regarding different age, gender, and driving experience groups are discussed.
{"title":"A method of driver distraction evaluation using fuzzy logic: Phone usage as a driver's secondary activity: Case study","authors":"A. Aksjonov, Pavel Nedoma, V. Vodovozov, E. Petlenkov, M. Herrmann","doi":"10.1109/ICAT.2017.8171599","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171599","url":null,"abstract":"A novel method for evaluating driver distraction and situation awareness while performing a secondary task using a fuzzy set theory is proposed in this paper. A fuzzy inference engine realization process based on simple matrix operations is described in detail. The drivers' performance is evaluated referring to the vehicle behavior, in particular, the abilities to keep the vehicle in the center of the lane and to observe the speed limit. The evaluation technique was tested on a vehicle mock-up driving simulator. Text messaging on a cell phone is studied as a secondary distractive activity. Driver-in-the-loop experimental results as well as the conclusions regarding different age, gender, and driving experience groups are discussed.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125239835","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171627
F. Shamsi, Sarah Bamatraf, Talal Rahwan, Z. Aung, D. Svetinovic
With the launch of smart government initiatives, it is important to analyze the security requirements that will enable the decision makers to successfully carry out the process of transformation to mobile government (M-Government). This paper presents a security analysis using the security requirements engineering SQUARE method in the context of the M-Government transformation. The mobile application architectures are evaluated as a case study using the SQUARE method. In particular, the main contribution of this paper is the analysis of the outcomes of the SQUARE method using qualitative evaluation criteria.
{"title":"Systems security requirements analysis for M-Government transformation","authors":"F. Shamsi, Sarah Bamatraf, Talal Rahwan, Z. Aung, D. Svetinovic","doi":"10.1109/ICAT.2017.8171627","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171627","url":null,"abstract":"With the launch of smart government initiatives, it is important to analyze the security requirements that will enable the decision makers to successfully carry out the process of transformation to mobile government (M-Government). This paper presents a security analysis using the security requirements engineering SQUARE method in the context of the M-Government transformation. The mobile application architectures are evaluated as a case study using the SQUARE method. In particular, the main contribution of this paper is the analysis of the outcomes of the SQUARE method using qualitative evaluation criteria.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131767639","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 : 2017-10-01DOI: 10.1109/ICAT.2017.8171629
E. Žunić, K. Hodzic, H. Hasic, Rijad Skrobo, A. Besirevic, D. Donko
Implementing a successful warehouse management system from scratch contains many challenges of different nature. The most important aspect is the financial status of the company that is implementing the system. How many resources is the company willing to spend is always a difficult dilemma. The second important issue is the actual usefulness of the developed solution. If the system cannot be implemented in the real world, as advanced as it may be in theory, it has very little or no use at all. In this paper, the current state of the picking zone of a medium-to-large logistics company warehouse is analyzed through a real-world case study. On the top of the collected results, a method for the optimal strategic and quantitative item placement in the picking zone is constructed through the usage of fitting algorithms. One month after the method was released to production, a quality check of the system by supervising the warehouse activities of the picking zone is conducted and the results are analyzed.
{"title":"Application of advanced analysis and predictive algorithm for warehouse picking zone capacity and content prediction","authors":"E. Žunić, K. Hodzic, H. Hasic, Rijad Skrobo, A. Besirevic, D. Donko","doi":"10.1109/ICAT.2017.8171629","DOIUrl":"https://doi.org/10.1109/ICAT.2017.8171629","url":null,"abstract":"Implementing a successful warehouse management system from scratch contains many challenges of different nature. The most important aspect is the financial status of the company that is implementing the system. How many resources is the company willing to spend is always a difficult dilemma. The second important issue is the actual usefulness of the developed solution. If the system cannot be implemented in the real world, as advanced as it may be in theory, it has very little or no use at all. In this paper, the current state of the picking zone of a medium-to-large logistics company warehouse is analyzed through a real-world case study. On the top of the collected results, a method for the optimal strategic and quantitative item placement in the picking zone is constructed through the usage of fitting algorithms. One month after the method was released to production, a quality check of the system by supervising the warehouse activities of the picking zone is conducted and the results are analyzed.","PeriodicalId":112404,"journal":{"name":"2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123441724","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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