Pub Date : 2023-05-23DOI: 10.1109/SACI58269.2023.10158554
Anischal Kumar, V. Groza, K. K. Raj, M. Assaf, S. kumar, Rahul Kumar
This paper provides a comprehensive analysis of techniques used for bearing fault classification, which is essential for detecting anomalous conditions in rotating machinery. The focus is on identifying and categorizing various types of bearing faults to monitor equipment performance and prevent repairable motor breakdowns. The authors use experimental data to identify bearing faults and extract significant features from the dataset, and then apply Principal Component Analysis (PCA) and Curvilinear Component Analysis (CCA) techniques for exploratory analysis. The study compares the classification accuracy of various machine learning models, including support vector machines, k-nearest neighbors, ensemble models, and neural network models such as Multilayer feedforward neural network (ANN) and Convolutional neural network (CNN). The results of this study provides valuable insights for future research in bearing fault classification since it is the most important component in rotating machines..
{"title":"Comparative Analysis of Machine Learning Techniques for Bearing Fault Classification in Rotating Machinery","authors":"Anischal Kumar, V. Groza, K. K. Raj, M. Assaf, S. kumar, Rahul Kumar","doi":"10.1109/SACI58269.2023.10158554","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158554","url":null,"abstract":"This paper provides a comprehensive analysis of techniques used for bearing fault classification, which is essential for detecting anomalous conditions in rotating machinery. The focus is on identifying and categorizing various types of bearing faults to monitor equipment performance and prevent repairable motor breakdowns. The authors use experimental data to identify bearing faults and extract significant features from the dataset, and then apply Principal Component Analysis (PCA) and Curvilinear Component Analysis (CCA) techniques for exploratory analysis. The study compares the classification accuracy of various machine learning models, including support vector machines, k-nearest neighbors, ensemble models, and neural network models such as Multilayer feedforward neural network (ANN) and Convolutional neural network (CNN). The results of this study provides valuable insights for future research in bearing fault classification since it is the most important component in rotating machines..","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115658464","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158630
M. Péntek, T. Haidegger, J. Czere, L. Kovács, Z. Zrubka, L. Gulácsi
EQ-5D is a self-reported questionnaire to assess and value health. This measurement tool is extensively used in clinical trials, and it is the most often used source to calculate health gains expressed as Quality Adjusted Life Years (QALY) in health economic evaluations. Given the increasing advances and spread of robot-assisted surgery, we aimed to review the available evidence for robotic surgery studies with EQ-5D outcomes. A systematic review was performed in PubMed database (as of July 2022). Despite the abundancy of publications in robotic surgery, only 15 clinical and 5 cost-utility studies were found that reported EQ-5D outcomes. Gynecology and orthopedics were the most commonly studied areas. Incomplete and inadequate reporting of EQ-5D data was found in the great majority of the publications. We encourage care providers, technology developers, clinical research organizations in the field to consider the EQ-5D as a patient reported outcome in robotic surgery trials and draw attention to the reporting standards.
{"title":"EQ-5D studies in robotic surgery: a mini-review","authors":"M. Péntek, T. Haidegger, J. Czere, L. Kovács, Z. Zrubka, L. Gulácsi","doi":"10.1109/SACI58269.2023.10158630","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158630","url":null,"abstract":"EQ-5D is a self-reported questionnaire to assess and value health. This measurement tool is extensively used in clinical trials, and it is the most often used source to calculate health gains expressed as Quality Adjusted Life Years (QALY) in health economic evaluations. Given the increasing advances and spread of robot-assisted surgery, we aimed to review the available evidence for robotic surgery studies with EQ-5D outcomes. A systematic review was performed in PubMed database (as of July 2022). Despite the abundancy of publications in robotic surgery, only 15 clinical and 5 cost-utility studies were found that reported EQ-5D outcomes. Gynecology and orthopedics were the most commonly studied areas. Incomplete and inadequate reporting of EQ-5D data was found in the great majority of the publications. We encourage care providers, technology developers, clinical research organizations in the field to consider the EQ-5D as a patient reported outcome in robotic surgery trials and draw attention to the reporting standards.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123136025","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158546
Andrei Cristian Haisiuc, Ioan-Alexandru Hedes, Darius-Ovidiu Firan, C. Stângaciu, S. Nimara
The system consists of an energetically and informationally autonomous node, which collects data about atmospheric pressure, temperature, humidity, and gas concentrations for carbon monoxide and methane and sends this data to a dedicated receiver that will store it and make it available for visualization. Communication is realized through the IEEE 802.15.1 standard, via Bluetooth. The node consists of an Arduino Nano which uses an Atmega328P microcontroller, a sensor BMP180 module, two modules for detecting gases - MQ-7 for carbon monoxide and MQ-4 for methane, an HR202 module for humidity and an HC-05 Bluetooth module. On the receiving end, a mobile application for Android phones developed using Android Studio and Java is used. The data can be then visualized as graphs using a Python script. The system can be used to monitor the temperature, humidity, and atmospheric pressure of a room as well as add a layer of safety with alerts when the danger threshold for methane or CO is passed.
{"title":"Bluetooth Sensor Module for Monitoring Indoor Ambient","authors":"Andrei Cristian Haisiuc, Ioan-Alexandru Hedes, Darius-Ovidiu Firan, C. Stângaciu, S. Nimara","doi":"10.1109/SACI58269.2023.10158546","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158546","url":null,"abstract":"The system consists of an energetically and informationally autonomous node, which collects data about atmospheric pressure, temperature, humidity, and gas concentrations for carbon monoxide and methane and sends this data to a dedicated receiver that will store it and make it available for visualization. Communication is realized through the IEEE 802.15.1 standard, via Bluetooth. The node consists of an Arduino Nano which uses an Atmega328P microcontroller, a sensor BMP180 module, two modules for detecting gases - MQ-7 for carbon monoxide and MQ-4 for methane, an HR202 module for humidity and an HC-05 Bluetooth module. On the receiving end, a mobile application for Android phones developed using Android Studio and Java is used. The data can be then visualized as graphs using a Python script. The system can be used to monitor the temperature, humidity, and atmospheric pressure of a room as well as add a layer of safety with alerts when the danger threshold for methane or CO is passed.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128704985","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158662
Oszkár Dobos, Ágnes Csiszárik-Kocsir
In today’s fast-changing world, innovation is essential for organisations to thrive and to meet the challenges of the new age. However, innovation initiatives have a huge uncertainty factor that is difficult to manage. It is therefore important that all innovation initiatives are managed with a project approach, supported from the project management side. However, the link between innovation and project management is not yet clear. Both fields are understood as separate disciplines, and innovation is often seen as an elusive concept. The aim of this paper is to show the outcome and success factors of innovation initiatives, linking them to the doctrines of project management. The aim of this paper is to show the views on research, development and innovation projects from the perspective of project management and deliverables, and to explore the relationship between the views of different organisational managers. We also aim to shed light on the individual differences in perception that determine the success factors of research, development and innovation projects and the conditions for their successful implementation.
{"title":"Individual-level perception of research, development and innovation in the life of Hungarian enterprises","authors":"Oszkár Dobos, Ágnes Csiszárik-Kocsir","doi":"10.1109/SACI58269.2023.10158662","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158662","url":null,"abstract":"In today’s fast-changing world, innovation is essential for organisations to thrive and to meet the challenges of the new age. However, innovation initiatives have a huge uncertainty factor that is difficult to manage. It is therefore important that all innovation initiatives are managed with a project approach, supported from the project management side. However, the link between innovation and project management is not yet clear. Both fields are understood as separate disciplines, and innovation is often seen as an elusive concept. The aim of this paper is to show the outcome and success factors of innovation initiatives, linking them to the doctrines of project management. The aim of this paper is to show the views on research, development and innovation projects from the perspective of project management and deliverables, and to explore the relationship between the views of different organisational managers. We also aim to shed light on the individual differences in perception that determine the success factors of research, development and innovation projects and the conditions for their successful implementation.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127561002","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158537
I. Filip, O. Proștean, I. Szeidert, D. Bordeasu, C. Vașar
The control of a nonlinear process raises various problems, both in terms of the control law design and the controller tuning. This paper presents a tuning procedure of a minimum variance control system based on the analysis of the estimated gain of the controlled process. In this regard, the performed study shows that the settling-time of the estimated process gain can be used as a tuning criterion for the minimum variance controller, allowing the improvement of the control performance. The procedure involves closed-loop estimation of the process gain based on parameters estimates of a linearized model that approximates the nonlinear process functionality around an operating point. The basic idea is that, although the parameters estimates of the linearized model are different in closed-loop, respectively open-loop, the steady-state gain estimates are similar in both cases. Thus, the time dynamics of this estimated gain can be a useful indicator for the control system tuning. In order to validate the proposed procedure, an induction generator integrated into a wind energy conversion system was considered as a controlled process.
{"title":"Tuning of a Minimum Variance Control System Based on the Estimated Process Gain","authors":"I. Filip, O. Proștean, I. Szeidert, D. Bordeasu, C. Vașar","doi":"10.1109/SACI58269.2023.10158537","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158537","url":null,"abstract":"The control of a nonlinear process raises various problems, both in terms of the control law design and the controller tuning. This paper presents a tuning procedure of a minimum variance control system based on the analysis of the estimated gain of the controlled process. In this regard, the performed study shows that the settling-time of the estimated process gain can be used as a tuning criterion for the minimum variance controller, allowing the improvement of the control performance. The procedure involves closed-loop estimation of the process gain based on parameters estimates of a linearized model that approximates the nonlinear process functionality around an operating point. The basic idea is that, although the parameters estimates of the linearized model are different in closed-loop, respectively open-loop, the steady-state gain estimates are similar in both cases. Thus, the time dynamics of this estimated gain can be a useful indicator for the control system tuning. In order to validate the proposed procedure, an induction generator integrated into a wind energy conversion system was considered as a controlled process.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1982 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121196253","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158660
L. Hluchý, O. Habala, Martin Bobák, Martin Seleng
In this article we describe our continuing work on transforming a legacy application dealing with airport meteorology into a cloud application, using the concepts of serverless computing and Function-as-a-Service. In our previous work [1] we have described the architecture and concepts of our solution, and initial experiments with several FaaS tools. Here we continue the experiments, concentrating on the Apache OpenWhisk framework, which we have selected as our target serverless environment. We have further developed some of the application’s components and tried to execute them via OpenWhisk. During these experiments we have found multiple practical problems of transforming and executing legacy applications as serverless functions in OpenWhisk, and have devised solutions for these problems.
{"title":"Transformation of a Legacy Airport Meteorology Application into a Serverless Cloud Application","authors":"L. Hluchý, O. Habala, Martin Bobák, Martin Seleng","doi":"10.1109/SACI58269.2023.10158660","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158660","url":null,"abstract":"In this article we describe our continuing work on transforming a legacy application dealing with airport meteorology into a cloud application, using the concepts of serverless computing and Function-as-a-Service. In our previous work [1] we have described the architecture and concepts of our solution, and initial experiments with several FaaS tools. Here we continue the experiments, concentrating on the Apache OpenWhisk framework, which we have selected as our target serverless environment. We have further developed some of the application’s components and tried to execute them via OpenWhisk. During these experiments we have found multiple practical problems of transforming and executing legacy applications as serverless functions in OpenWhisk, and have devised solutions for these problems.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115843354","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158629
Massimo Stefanoni, Á. Odry, Peter Sarcevic
Magnetometers are widely used in sensor fusion frameworks of mobile robots due to their ability to work as compasses. The measurements of these sensors are largely influenced by hard iron and soft iron effects that are caused by nearby ferromagnetic objects. In this paper, an artificial neural network (ANN)-based method is proposed for the identification of such effects, which can be compensated from the measurements. The method utilizes both the distance and the angle of the detected object based on the coordinate frame of the mobile robot as the inputs of the Multi-Layer Perceptron (MLP) ANN. The MLP provides on its outputs the disturbance levels in the three axes, which need to be subtracted from the measurements to obtain the compensated values. The method was tested with three different types of objects to evaluate the performance of the method. Measurements were collected using an industrial robotic arm in a grid around the objects. The disturbance levels generated by the objects were computed by subtracting measurements recorded in an undisturbed scenario. Three-layer MLPs were tested with various numbers of hidden layer neurons to find the optimal configurations. The achieved results show that the disturbance levels can be significantly decreased using the proposed method.
{"title":"A Neural Network-Based Approach for the Identification and Compensation of Magnetic Disturbances in Mobile Robot Localization","authors":"Massimo Stefanoni, Á. Odry, Peter Sarcevic","doi":"10.1109/SACI58269.2023.10158629","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158629","url":null,"abstract":"Magnetometers are widely used in sensor fusion frameworks of mobile robots due to their ability to work as compasses. The measurements of these sensors are largely influenced by hard iron and soft iron effects that are caused by nearby ferromagnetic objects. In this paper, an artificial neural network (ANN)-based method is proposed for the identification of such effects, which can be compensated from the measurements. The method utilizes both the distance and the angle of the detected object based on the coordinate frame of the mobile robot as the inputs of the Multi-Layer Perceptron (MLP) ANN. The MLP provides on its outputs the disturbance levels in the three axes, which need to be subtracted from the measurements to obtain the compensated values. The method was tested with three different types of objects to evaluate the performance of the method. Measurements were collected using an industrial robotic arm in a grid around the objects. The disturbance levels generated by the objects were computed by subtracting measurements recorded in an undisturbed scenario. Three-layer MLPs were tested with various numbers of hidden layer neurons to find the optimal configurations. The achieved results show that the disturbance levels can be significantly decreased using the proposed method.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128415978","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158606
Mohammad Merei, J. Tar
In this paper, adaptive backstepping control is investigated for coupled nonlinear springs. A dynamic model of coupled special nonlinear springs is established with uncertain parameters. The conventional adaptive approaches for nonlinear systems’ control use Lyapunov’s second method that need full state estimation. To overcome this problem an FPI-based Model Reference Adaptive Backstepping Controller has been invented. The adaptive backstepping algorithm is designed to achieve stability for the nonlinear system. The idea of backstepping design is to coerce the error signal to zero by implementing a virtual control strategy. The consequences of the unknown parameters of the system are compensated by adaptive law. Simulation results are presented to show the effectiveness of the proposed control.
{"title":"Adaptive Backstepping Control Design for Nonlinear System","authors":"Mohammad Merei, J. Tar","doi":"10.1109/SACI58269.2023.10158606","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158606","url":null,"abstract":"In this paper, adaptive backstepping control is investigated for coupled nonlinear springs. A dynamic model of coupled special nonlinear springs is established with uncertain parameters. The conventional adaptive approaches for nonlinear systems’ control use Lyapunov’s second method that need full state estimation. To overcome this problem an FPI-based Model Reference Adaptive Backstepping Controller has been invented. The adaptive backstepping algorithm is designed to achieve stability for the nonlinear system. The idea of backstepping design is to coerce the error signal to zero by implementing a virtual control strategy. The consequences of the unknown parameters of the system are compensated by adaptive law. Simulation results are presented to show the effectiveness of the proposed control.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132553094","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158613
B. Solymos, L. Bacsardi
Quantum random number generators can deliver entropy based on inherently non-deterministic physical phenomena, which is essential for applications where quality randomness is needed (e.g. in cryptography). Our generator based on photon time-of-arrival exploits the randomness of light emission in semiconductors. To measure the time between detections we use a continuous (non-restartable) clock for time tagging, which permits simpler hardware but produces slightly different output from the optimal exponential distribution. To handle this and produce quality output, we use Toeplitz hashing based bit generation after modeling and calculating a lower bound of extractable min-entropy for the general case of this generation scheme with a continuous clock. We produced uniformly distributed output bits with our setup, while also reaching a generation efficiency of 9.75 output bits per 16-bit input record, which is an improvement to our previously used method. Our generator has also been statistically tested using four of the popular statistical test suites.
{"title":"Efficiency improvement of photon arrival time based quantum random number generator with hashing","authors":"B. Solymos, L. Bacsardi","doi":"10.1109/SACI58269.2023.10158613","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158613","url":null,"abstract":"Quantum random number generators can deliver entropy based on inherently non-deterministic physical phenomena, which is essential for applications where quality randomness is needed (e.g. in cryptography). Our generator based on photon time-of-arrival exploits the randomness of light emission in semiconductors. To measure the time between detections we use a continuous (non-restartable) clock for time tagging, which permits simpler hardware but produces slightly different output from the optimal exponential distribution. To handle this and produce quality output, we use Toeplitz hashing based bit generation after modeling and calculating a lower bound of extractable min-entropy for the general case of this generation scheme with a continuous clock. We produced uniformly distributed output bits with our setup, while also reaching a generation efficiency of 9.75 output bits per 16-bit input record, which is an improvement to our previously used method. Our generator has also been statistically tested using four of the popular statistical test suites.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133208738","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 : 2023-05-23DOI: 10.1109/SACI58269.2023.10158579
Éva Hegedűs, A. Tick
Digital innovations in Explosive Ordnance Risk Education (EORE) are gaining increasing importance with the rapid development of technology and need for a combination of online and offline, in-person and remote delivery. New innovative technical tools and approaches in EORE include digital media platforms and information services, Extended Reality, Artificial Intelligence, just to name a few. All these are already bringing a significant potential for the EORE and the broader humanitarian mine action sector to scale up risk education work and ensure that more communities at risk can be reached. Beyond simple reach, impact and effectiveness is however more important, as EORE ultimately aims to generate safe behavior. Despite the multiplicity of methods used, fully ascertaining impact and effectiveness is still challenging in the field. Digital EORE itself is also facing several challenges on the ground before it can be further scaled up. This paper reviews the latest innovative approaches in EORE and provides a critical analysis of their scope for scale-up, and of the ways of measuring their impact and effectiveness.
{"title":"Digitalization, Extended Reality and Artificial Intelligence in Explosive Ordnance Risk Education","authors":"Éva Hegedűs, A. Tick","doi":"10.1109/SACI58269.2023.10158579","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158579","url":null,"abstract":"Digital innovations in Explosive Ordnance Risk Education (EORE) are gaining increasing importance with the rapid development of technology and need for a combination of online and offline, in-person and remote delivery. New innovative technical tools and approaches in EORE include digital media platforms and information services, Extended Reality, Artificial Intelligence, just to name a few. All these are already bringing a significant potential for the EORE and the broader humanitarian mine action sector to scale up risk education work and ensure that more communities at risk can be reached. Beyond simple reach, impact and effectiveness is however more important, as EORE ultimately aims to generate safe behavior. Despite the multiplicity of methods used, fully ascertaining impact and effectiveness is still challenging in the field. Digital EORE itself is also facing several challenges on the ground before it can be further scaled up. This paper reviews the latest innovative approaches in EORE and provides a critical analysis of their scope for scale-up, and of the ways of measuring their impact and effectiveness.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132327913","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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