Pub Date : 2020-07-01DOI: 10.1109/INES49302.2020.9147174
Aous H. Kurdi, J. Grantner, I. Abdel-Qader
Hardware accelerators have been recently proposed for computationally extensive applications like real-time video image processing systems. Contemporary hardware accelerators are implemented by using either Field Programmable Gate Array (FPGA) or System-on-Chip (SoC) devices. Edge detection is a fundamental task for any image processing system. In this paper, a pipelined architecture for a fuzzy logic edge detection system is proposed. The system has been implemented and tested on various Xilinx 7 Series devices. The hardware accelerator core utilizes a pipeline of seven stages. Depending on the available resources the accelerator system can be made up of several cores operating simultaneously. A single-core implementation of the system can process a 1080P HD test frame at a rate of about 45 frames per second. It outperforms its software counterpart by a factor of ten thousand.
{"title":"Hardware Accelerator for Edge Detection","authors":"Aous H. Kurdi, J. Grantner, I. Abdel-Qader","doi":"10.1109/INES49302.2020.9147174","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147174","url":null,"abstract":"Hardware accelerators have been recently proposed for computationally extensive applications like real-time video image processing systems. Contemporary hardware accelerators are implemented by using either Field Programmable Gate Array (FPGA) or System-on-Chip (SoC) devices. Edge detection is a fundamental task for any image processing system. In this paper, a pipelined architecture for a fuzzy logic edge detection system is proposed. The system has been implemented and tested on various Xilinx 7 Series devices. The hardware accelerator core utilizes a pipeline of seven stages. Depending on the available resources the accelerator system can be made up of several cores operating simultaneously. A single-core implementation of the system can process a 1080P HD test frame at a rate of about 45 frames per second. It outperforms its software counterpart by a factor of ten thousand.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126168345","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 : 2020-07-01DOI: 10.1109/INES49302.2020.9147200
Bálint Juhász, Ádám Szabó, Tamás Bécsi, S. Aradi
This paper deals with the control design of an electromechanical shift actuator. First, to provide an environment where the controllers can be tuned and compared, a nonlinear model has been developed, then a linear state-space representation of the system has been derived. Besides tracking of a reference signal with high accuracy, the control design must consider the limitations of a typical, commercial actuator control unit, in particular real-time applicability. To achieve the controlling aims, a symmetric, optimum based, cascaded PID, a Linear Quadratic Regulator, a Linear Quadratic Gaussian controller, and a Model Predictive Controller have been developed. Three of the four developed methods can meet the given requirements. However, there are significant differences regarding the run-time of the algorithms.
{"title":"Control design of an electromechanical gearbox actuator","authors":"Bálint Juhász, Ádám Szabó, Tamás Bécsi, S. Aradi","doi":"10.1109/INES49302.2020.9147200","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147200","url":null,"abstract":"This paper deals with the control design of an electromechanical shift actuator. First, to provide an environment where the controllers can be tuned and compared, a nonlinear model has been developed, then a linear state-space representation of the system has been derived. Besides tracking of a reference signal with high accuracy, the control design must consider the limitations of a typical, commercial actuator control unit, in particular real-time applicability. To achieve the controlling aims, a symmetric, optimum based, cascaded PID, a Linear Quadratic Regulator, a Linear Quadratic Gaussian controller, and a Model Predictive Controller have been developed. Three of the four developed methods can meet the given requirements. However, there are significant differences regarding the run-time of the algorithms.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122901058","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 : 2020-07-01DOI: 10.1109/ines49302.2020.9147193
{"title":"INES 2020 Table of Contents","authors":"","doi":"10.1109/ines49302.2020.9147193","DOIUrl":"https://doi.org/10.1109/ines49302.2020.9147193","url":null,"abstract":"","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114150941","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 : 2020-07-01DOI: 10.1109/INES49302.2020.9147170
Mohammed Faeik Ruzaij Al-Okby, Saad Salah Al-Barrak
Elderly Fall accidents are one of the main causes of deaths due to fractures caused by collision with the ground or hard obstacles. This research paper aims to develop an intelligent fall detection system to detect the user fall and alarm the caretaker for a fast response. The early response of the caretaker to the alert will keep a high chance to save the life of the victim. In this paper, wearable low-cost fall detection and alarming system for the elderly has been proposed. a novel approach has been used to reduce the false-positive fall alarm. The user motion tracked using a sophisticated orientation detection module to detect user orientation in different output forms. In case of any abnormal orientation data values of the user, the system will send an alarm message via Wi-Fi and GSM to the caretaker. The system design considers a simple and low-cost design with acceptable power consumption rate. The system consists of a Wi-Fi-based microcontroller, and two orientation detection modules, and a GSM module. The system is designed for the user to wear in the waistline by installing it with the waist belt. The system used a rechargeable pin-type lithium-ion battery as a power source.
{"title":"New Approach for Fall Detection System Using Embedded Technology","authors":"Mohammed Faeik Ruzaij Al-Okby, Saad Salah Al-Barrak","doi":"10.1109/INES49302.2020.9147170","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147170","url":null,"abstract":"Elderly Fall accidents are one of the main causes of deaths due to fractures caused by collision with the ground or hard obstacles. This research paper aims to develop an intelligent fall detection system to detect the user fall and alarm the caretaker for a fast response. The early response of the caretaker to the alert will keep a high chance to save the life of the victim. In this paper, wearable low-cost fall detection and alarming system for the elderly has been proposed. a novel approach has been used to reduce the false-positive fall alarm. The user motion tracked using a sophisticated orientation detection module to detect user orientation in different output forms. In case of any abnormal orientation data values of the user, the system will send an alarm message via Wi-Fi and GSM to the caretaker. The system design considers a simple and low-cost design with acceptable power consumption rate. The system consists of a Wi-Fi-based microcontroller, and two orientation detection modules, and a GSM module. The system is designed for the user to wear in the waistline by installing it with the waist belt. The system used a rechargeable pin-type lithium-ion battery as a power source.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134158445","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 : 2020-07-01DOI: 10.1109/INES49302.2020.9147199
A. Riid, Davide L. Manna, S. Astapov
Road pavement type classification is important in route planning, road maintenance and for autonomous vehicles. In this paper, we propose a deep learning based method for automatic road type classification from road surface images. The resulting binary classifiers (paved and non-paved road classes) achieve up to 98% classification accuracy on the test set that contains over 100 000 real-world road images that cover a distance of over 300 km.
{"title":"Image-Based Pavement Type Classification with Convolutional Neural Networks","authors":"A. Riid, Davide L. Manna, S. Astapov","doi":"10.1109/INES49302.2020.9147199","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147199","url":null,"abstract":"Road pavement type classification is important in route planning, road maintenance and for autonomous vehicles. In this paper, we propose a deep learning based method for automatic road type classification from road surface images. The resulting binary classifiers (paved and non-paved road classes) achieve up to 98% classification accuracy on the test set that contains over 100 000 real-world road images that cover a distance of over 300 km.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133494765","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 : 2020-07-01DOI: 10.1109/INES49302.2020.9147186
C. Canali, A. Pistone, C. Gloriani, P. Guardiani, D. Ludovico, D. Caldwell
Rivet inspection is a very common task that represents a key activity in many industrial fields ranging from aerospace to civil infrastructure maintenance. Being a repetitive and standardised operation, rivet inspection is a good candidate for the automated process. On the other hand, since a high level of precision and accuracy is required so the human intervention is still predominant. This paper describes a robotic system that is able to automatically perform this kind of inspection and can indicate the status of rivets, thanks to a novel multi-sensor analysis method. The detection system, that is located on a crawler robot, consists of a camera, a laser scan and a micro-hammering system to detect the acoustic response of an exciting mechanical pulse. The collected data are processed and an analysis of the rivets’s status is performed. The work, here reported, illustrates the details of the above described method and the experimental results obtained with a preliminary prototype used as a proof of concept.
{"title":"Rivet inspection with multi-sensor robotic system","authors":"C. Canali, A. Pistone, C. Gloriani, P. Guardiani, D. Ludovico, D. Caldwell","doi":"10.1109/INES49302.2020.9147186","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147186","url":null,"abstract":"Rivet inspection is a very common task that represents a key activity in many industrial fields ranging from aerospace to civil infrastructure maintenance. Being a repetitive and standardised operation, rivet inspection is a good candidate for the automated process. On the other hand, since a high level of precision and accuracy is required so the human intervention is still predominant. This paper describes a robotic system that is able to automatically perform this kind of inspection and can indicate the status of rivets, thanks to a novel multi-sensor analysis method. The detection system, that is located on a crawler robot, consists of a camera, a laser scan and a micro-hammering system to detect the acoustic response of an exciting mechanical pulse. The collected data are processed and an analysis of the rivets’s status is performed. The work, here reported, illustrates the details of the above described method and the experimental results obtained with a preliminary prototype used as a proof of concept.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133197427","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 : 2020-07-01DOI: 10.1109/INES49302.2020.9147182
R. Davidrajuh
Petri net is a highly useful tool for modeling, simulation, and performance analysis of discrete event systems. However, the state spaces of the Petri net models of real-life discrete-event systems are enormous. Thus, model checking of these systems takes too much time, if it is possible at all. Therefore, static slicing of Petri nets is proposed in the literature to reduce a Petri net into a smaller size on which model checking becomes possible. However, this paper finds some fundamental problems in the idea of static slicing of Petri nets: 1) Most of the algorithms given in the literature for slicing do not work for real-life discrete-event systems. 2) The idea that the smaller the Petri net (obtained by slicing), the better for model checking is fundamentally wrong. As this paper shows, removal of places can be harmful as it can cause larger state spaces than the original ones. This paper proposes four hypotheses for devising newer slicing algorithms that can work on Petri net models of real-life systems too.
{"title":"Experimenting with the Static Slicing of Petri Nets","authors":"R. Davidrajuh","doi":"10.1109/INES49302.2020.9147182","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147182","url":null,"abstract":"Petri net is a highly useful tool for modeling, simulation, and performance analysis of discrete event systems. However, the state spaces of the Petri net models of real-life discrete-event systems are enormous. Thus, model checking of these systems takes too much time, if it is possible at all. Therefore, static slicing of Petri nets is proposed in the literature to reduce a Petri net into a smaller size on which model checking becomes possible. However, this paper finds some fundamental problems in the idea of static slicing of Petri nets: 1) Most of the algorithms given in the literature for slicing do not work for real-life discrete-event systems. 2) The idea that the smaller the Petri net (obtained by slicing), the better for model checking is fundamentally wrong. As this paper shows, removal of places can be harmful as it can cause larger state spaces than the original ones. This paper proposes four hypotheses for devising newer slicing algorithms that can work on Petri net models of real-life systems too.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124510811","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 : 2020-07-01DOI: 10.1109/ines49302.2020.9147169
R. Lewandowski, J. I. Olszewska
Nowadays, the automotive industry requires an increased use of intelligent systems to endure. In this paper, we present a new solution for automated task scheduling to help automotive industry in efficiently managing garage employees’ time and improving the effectiveness of the servicing and maintenance tasks of vehicles. The developed approach consists in a set of interconnected web applications with a model-view-controller based-on architecture and expert-knowledge temporal logic rules to automate the assignment of the daily workload for engineers working on multiple workstations within an automotive company. The proposed intelligent system prioritises and selects tasks for these engineers; the scheduled tasks being automatically ordered and displayed accordingly on screens visible in the related garage workstations. This automated task scheduling system has been successfully deployed within Arnold Clark Automobiles Ltd Company, and the performance of this new application used by a group of engineers under real-world operational conditions have been assessed and analysed.
{"title":"Automated Task Scheduling for Automotive Industry","authors":"R. Lewandowski, J. I. Olszewska","doi":"10.1109/ines49302.2020.9147169","DOIUrl":"https://doi.org/10.1109/ines49302.2020.9147169","url":null,"abstract":"Nowadays, the automotive industry requires an increased use of intelligent systems to endure. In this paper, we present a new solution for automated task scheduling to help automotive industry in efficiently managing garage employees’ time and improving the effectiveness of the servicing and maintenance tasks of vehicles. The developed approach consists in a set of interconnected web applications with a model-view-controller based-on architecture and expert-knowledge temporal logic rules to automate the assignment of the daily workload for engineers working on multiple workstations within an automotive company. The proposed intelligent system prioritises and selects tasks for these engineers; the scheduled tasks being automatically ordered and displayed accordingly on screens visible in the related garage workstations. This automated task scheduling system has been successfully deployed within Arnold Clark Automobiles Ltd Company, and the performance of this new application used by a group of engineers under real-world operational conditions have been assessed and analysed.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130203196","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 : 2020-07-01DOI: 10.1109/INES49302.2020.9147196
Sepideh Hassankhani Dolatabadi, Ivana Budinskai
Many managers are looking to engage employees and customers because they know this is one of the key factors in running a successful business. In the first place, this will reduce the customers and employees churn and will further increase their loyalty and satisfaction to the organization. Using gamification to engage stakeholders is an interesting topic for many organizations, but the lack of a clear procedure for applying these methods has led to not achieving the expected results.In this study, we will introduce a new technique for designing gamification in servicing companies in which customers and employees interact with each other also examine the principles of setting up a game site based on statistical computing and data mining algorithms.
{"title":"A New Method Based on Gamification Algorithm to Engage Stakeholders in Competitive Markets","authors":"Sepideh Hassankhani Dolatabadi, Ivana Budinskai","doi":"10.1109/INES49302.2020.9147196","DOIUrl":"https://doi.org/10.1109/INES49302.2020.9147196","url":null,"abstract":"Many managers are looking to engage employees and customers because they know this is one of the key factors in running a successful business. In the first place, this will reduce the customers and employees churn and will further increase their loyalty and satisfaction to the organization. Using gamification to engage stakeholders is an interesting topic for many organizations, but the lack of a clear procedure for applying these methods has led to not achieving the expected results.In this study, we will introduce a new technique for designing gamification in servicing companies in which customers and employees interact with each other also examine the principles of setting up a game site based on statistical computing and data mining algorithms.","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125423203","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 : 2020-07-01DOI: 10.1109/ines49302.2020.9147121
{"title":"INES 2020 Cover Page","authors":"","doi":"10.1109/ines49302.2020.9147121","DOIUrl":"https://doi.org/10.1109/ines49302.2020.9147121","url":null,"abstract":"","PeriodicalId":175830,"journal":{"name":"2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122346789","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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