Pub Date : 2023-05-23DOI: 10.1109/SACI58269.2023.10158547
Radu-Iulian Gheorghica
Quantum computers represent the new generation of computing. But despite this, they have a limit which consists of the number of qubits, or quantum bits, that each computer has at its disposal. The purpose of this research is the ability to use multiple quantum simulators and computers in order to achieve calculations made by a unified number of qubits. The design for this algorithm makes use of parallel and distributed programming. The key results are amplified amplitudes obtained for large quantum circuits that would otherwise be impossible to execute on a single quantum computer whose available number of qubits is exceeded by the one of such circuits. Thus the algorithm presented in the current paper has been designed and tested, showing favorable results. A 25 qubit circuit was used for the test cases. It was partitioned in multiple smaller circuits that were sent for execution from a laptop, directly to the quantum devices. The circuit number of qubits can be increased as considered necessary by the user.
{"title":"An Algorithm for Concurrent Use of Quantum Simulators and Computers in the Context of Subgraph Isomorphism","authors":"Radu-Iulian Gheorghica","doi":"10.1109/SACI58269.2023.10158547","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158547","url":null,"abstract":"Quantum computers represent the new generation of computing. But despite this, they have a limit which consists of the number of qubits, or quantum bits, that each computer has at its disposal. The purpose of this research is the ability to use multiple quantum simulators and computers in order to achieve calculations made by a unified number of qubits. The design for this algorithm makes use of parallel and distributed programming. The key results are amplified amplitudes obtained for large quantum circuits that would otherwise be impossible to execute on a single quantum computer whose available number of qubits is exceeded by the one of such circuits. Thus the algorithm presented in the current paper has been designed and tested, showing favorable results. A 25 qubit circuit was used for the test cases. It was partitioned in multiple smaller circuits that were sent for execution from a laptop, directly to the quantum devices. The circuit number of qubits can be increased as considered necessary by the user.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"20 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":"131866883","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/SACI58269.2023.10158645
A. Tick
Familiarity with Industry 4.0 (I4.0) and its components is inevitable in business development, since it supports digitalization among the various sectors of businesses SMEs in Central-Eastern Europe, namely in the V4 countries, Serbia and Bulgaria have been surveyed; how familiar they are with I4.0 and its components. This paper presents how machine learning (ML) methods, namely supervised algorithms help to determine which I4.0 components contribute positively to SMEs’ familiarity with I4.0 and which of them contradict to its familiarity. The ML algorithm Vector Support Machine (VSM) and Neural Network (NN) proved to be the most accurate methods to predict the familiarity with I4.0 based on its components while Decision Tree (DT) gave the highest precision and specificity rates, therefore, the predictions of these three methods are compared. The results imply that Cloud Computing Services, Big Data analysis, VR and 3D Printing and Robotics do not contribute to the familiarity with I4.0 as much as expected. SMEs need further information on I4.0 developments, especially on its components’ beneficial impact on business performance and operations.
{"title":"Evaluation of Industry 4.0 familiarity at SMEs in Central-Eastern Europe using Machine Learning Algorithms","authors":"A. Tick","doi":"10.1109/SACI58269.2023.10158645","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158645","url":null,"abstract":"Familiarity with Industry 4.0 (I4.0) and its components is inevitable in business development, since it supports digitalization among the various sectors of businesses SMEs in Central-Eastern Europe, namely in the V4 countries, Serbia and Bulgaria have been surveyed; how familiar they are with I4.0 and its components. This paper presents how machine learning (ML) methods, namely supervised algorithms help to determine which I4.0 components contribute positively to SMEs’ familiarity with I4.0 and which of them contradict to its familiarity. The ML algorithm Vector Support Machine (VSM) and Neural Network (NN) proved to be the most accurate methods to predict the familiarity with I4.0 based on its components while Decision Tree (DT) gave the highest precision and specificity rates, therefore, the predictions of these three methods are compared. The results imply that Cloud Computing Services, Big Data analysis, VR and 3D Printing and Robotics do not contribute to the familiarity with I4.0 as much as expected. SMEs need further information on I4.0 developments, especially on its components’ beneficial impact on business performance and operations.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"96 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":"134242976","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/SACI58269.2023.10158576
Ágnes Csiszárik-Kocsir, Oszkár Dobos
Research, development and innovation have long been a theme and a lifeline, but never has its importance been more central than in the 21st century. The changes brought about by a rapidly changing turbulent environment demand new and innovative solutions. All these changes have introduced new concepts such as agility, the importance of change management and even resilience. But innovation initiatives require more than usual the introduction of a project approach to management. The aim of this paper is to shed light on some aspects of project management in RDI projects, highlighting the importance and role of programme and portfolio management based on the results of a questionnaire survey conducted in 2022.
{"title":"The place and role of research, development and innovation activities in the life of domestic enterprises along business characteristics","authors":"Ágnes Csiszárik-Kocsir, Oszkár Dobos","doi":"10.1109/SACI58269.2023.10158576","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158576","url":null,"abstract":"Research, development and innovation have long been a theme and a lifeline, but never has its importance been more central than in the 21st century. The changes brought about by a rapidly changing turbulent environment demand new and innovative solutions. All these changes have introduced new concepts such as agility, the importance of change management and even resilience. But innovation initiatives require more than usual the introduction of a project approach to management. The aim of this paper is to shed light on some aspects of project management in RDI projects, highlighting the importance and role of programme and portfolio management based on the results of a questionnaire survey conducted in 2022.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"15 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":"123342416","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/SACI58269.2023.10158586
N. Karballaeezadeh, S. DanialMohammadzadeh, Mohammed Mudabbiruddin, Armin Hatami Rad
Driving quality is a concept that includes factors affecting the quality of a vehicle trip. Pavement damages, including roughness, has negative effects on travel comfort and driving quality. The vibration created in the car is one of the most important negative effects. In general, the main reasons for this type of vibration are: The mechanical structure of the vehicle and the surface roughness of the road. In short trips, the quality of driving is affected by safety and driving comfort indicators. While, in long-term trips, the threat to human health is also raised due to long-term vibration on the body. Therefore, it can be concluded that the evaluation of the driving quality and especially the impact of road surface roughness, which is responsible for the phenomenon of vibration, is a vital issue for pavement engineers. As the most common method of assessing road surface roughness, the IRI index is considered an essential element in the framework of this research due to its intrinsic relationship with the vehicle’s reaction. This study seeks to reconsider the IRI index according to the vibration created in the car during a trip. For this purpose, first, some pavement segments with certain roughness were defined. Then, with the help of ProVAL software, IRI values were calculated for them. After that, in the main part of the research, the defined pavement segments were made in the ADAMS software, and the vibration results were outputted when a passenger car passed over them. The results of the review and comparison of vibration data and IRI values showed that the IRI method contains an important problem: not fully covering the concept of passenger travel comfort and driving quality. Considering that the IRI index is an important and common factor in the decisions of pavement management systems around the world, this research confirms that this index needs important modifications to effectively include the concept of driving quality in roads’ maintenance and repair programs.
{"title":"Modeling Road Roughness Through Vibration Analysis for Driving Quality and Extended Discussion on AI Potential","authors":"N. Karballaeezadeh, S. DanialMohammadzadeh, Mohammed Mudabbiruddin, Armin Hatami Rad","doi":"10.1109/SACI58269.2023.10158586","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158586","url":null,"abstract":"Driving quality is a concept that includes factors affecting the quality of a vehicle trip. Pavement damages, including roughness, has negative effects on travel comfort and driving quality. The vibration created in the car is one of the most important negative effects. In general, the main reasons for this type of vibration are: The mechanical structure of the vehicle and the surface roughness of the road. In short trips, the quality of driving is affected by safety and driving comfort indicators. While, in long-term trips, the threat to human health is also raised due to long-term vibration on the body. Therefore, it can be concluded that the evaluation of the driving quality and especially the impact of road surface roughness, which is responsible for the phenomenon of vibration, is a vital issue for pavement engineers. As the most common method of assessing road surface roughness, the IRI index is considered an essential element in the framework of this research due to its intrinsic relationship with the vehicle’s reaction. This study seeks to reconsider the IRI index according to the vibration created in the car during a trip. For this purpose, first, some pavement segments with certain roughness were defined. Then, with the help of ProVAL software, IRI values were calculated for them. After that, in the main part of the research, the defined pavement segments were made in the ADAMS software, and the vibration results were outputted when a passenger car passed over them. The results of the review and comparison of vibration data and IRI values showed that the IRI method contains an important problem: not fully covering the concept of passenger travel comfort and driving quality. Considering that the IRI index is an important and common factor in the decisions of pavement management systems around the world, this research confirms that this index needs important modifications to effectively include the concept of driving quality in roads’ maintenance and repair programs.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"24 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":"129847238","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/SACI58269.2023.10158541
Károly Szilák
The non-smooth Schrödinger-Maxwell system is examined on n-dimensional (3 ≤ n ≤ 5) Hadamard manifolds and Riemannian manifolds with non-negative Ricci curvature, respectively. Difficulties arise both by the non-compactness of the Riemannian manifolds and the presence of non-smooth terms.
{"title":"Schrödinger-Maxwell differential inclusion system","authors":"Károly Szilák","doi":"10.1109/SACI58269.2023.10158541","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158541","url":null,"abstract":"The non-smooth Schrödinger-Maxwell system is examined on n-dimensional (3 ≤ n ≤ 5) Hadamard manifolds and Riemannian manifolds with non-negative Ricci curvature, respectively. Difficulties arise both by the non-compactness of the Riemannian manifolds and the presence of non-smooth terms.","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":"122930958","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/SACI58269.2023.10158669
Silvana Qose, Rajnai Zoltán, Beatrix Fregan
Blockchain technology upends the status quo by providing a productive and decentralized platform for data management. Blockchain is a data management system that has the potential to enable accountability and transparency. Every computer network user may have a duplicate copy of the Blockchain, a ledger of transactions where network members validate data submitted into the ledger; once entered, the data cannot be changed [1], [2]. Revenue cycle administration, doctor credentialing, electronic health records, and supply chain administration are applications in the healthcare industry, yet, their widespread adoption is threatened by prospective government regulation and internal concerns [3].Additionally, the fact that the data in the Blockchain is duplicated across all of the network’s nodes fosters openness and transparency, enabling healthcare stakeholders, particularly the patients, to understand how, by whom, when, and how their data is utilized [4]. More crucially, since the data in the ledger is duplicated throughout several nodes in the network has no impact on the ledger’s current state. As a result, Blockchain, by its very nature, can defend against possible data loss, corruption, and security threats like ransomware assault [5].
{"title":"Blockchain Technology in Healthcare Industry: Benefits and Issues","authors":"Silvana Qose, Rajnai Zoltán, Beatrix Fregan","doi":"10.1109/SACI58269.2023.10158669","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158669","url":null,"abstract":"Blockchain technology upends the status quo by providing a productive and decentralized platform for data management. Blockchain is a data management system that has the potential to enable accountability and transparency. Every computer network user may have a duplicate copy of the Blockchain, a ledger of transactions where network members validate data submitted into the ledger; once entered, the data cannot be changed [1], [2]. Revenue cycle administration, doctor credentialing, electronic health records, and supply chain administration are applications in the healthcare industry, yet, their widespread adoption is threatened by prospective government regulation and internal concerns [3].Additionally, the fact that the data in the Blockchain is duplicated across all of the network’s nodes fosters openness and transparency, enabling healthcare stakeholders, particularly the patients, to understand how, by whom, when, and how their data is utilized [4]. More crucially, since the data in the ledger is duplicated throughout several nodes in the network has no impact on the ledger’s current state. As a result, Blockchain, by its very nature, can defend against possible data loss, corruption, and security threats like ransomware assault [5].","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"12 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":"127036140","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/SACI58269.2023.10158580
R. Robu, Paul Arseni-Ailoi, D. Ungureanu-Anghel
In real world applications, classification models can be built by repeatedly going through the steps of data preprocessing, building classification models with different dedicated algorithms, testing the resulted models, until building a good enough classification model is achieved. The model built in this way can be used in order to perform predictions on new data, with a degree of trust resulted by testing the model. All the operations described above can be done with Weka, which is a very powerful machine learning tool. The authors consider that after going through the previous steps, for many real world applications, it would be beneficial to go through a supplementary step, of developing a custom application for data classification, specific to the realized study. The proposed application will use the Weka API, which will allow it to rebuild the selected classification model, save and load it in/from a binary file and then make predictions with the help of a user interface perfectly adapted to the data set used. The proposed application makes it easier to make predictions for a final beneficiary. The paper presents how such a custom classification application can be developed, using the Weka API and Java programming language. In order to validate the proposed solution, the authors have built a custom application for the classification of data of patients who may have heart diseases, starting from the Cleveland heart disease data set, obtained from the UCI Machine Learning Repository. The proposed application allows saving and loading the classification model through serialization and deserialization, so that building it in order to make predictions is necessary only once.
{"title":"Using Weka API for creating a custom classification application","authors":"R. Robu, Paul Arseni-Ailoi, D. Ungureanu-Anghel","doi":"10.1109/SACI58269.2023.10158580","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158580","url":null,"abstract":"In real world applications, classification models can be built by repeatedly going through the steps of data preprocessing, building classification models with different dedicated algorithms, testing the resulted models, until building a good enough classification model is achieved. The model built in this way can be used in order to perform predictions on new data, with a degree of trust resulted by testing the model. All the operations described above can be done with Weka, which is a very powerful machine learning tool. The authors consider that after going through the previous steps, for many real world applications, it would be beneficial to go through a supplementary step, of developing a custom application for data classification, specific to the realized study. The proposed application will use the Weka API, which will allow it to rebuild the selected classification model, save and load it in/from a binary file and then make predictions with the help of a user interface perfectly adapted to the data set used. The proposed application makes it easier to make predictions for a final beneficiary. The paper presents how such a custom classification application can be developed, using the Weka API and Java programming language. In order to validate the proposed solution, the authors have built a custom application for the classification of data of patients who may have heart diseases, starting from the Cleveland heart disease data set, obtained from the UCI Machine Learning Repository. The proposed application allows saving and loading the classification model through serialization and deserialization, so that building it in order to make predictions is necessary only once.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"90 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":"134002706","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/SACI58269.2023.10158573
Bertalan Beszédes
This paper aimed to show the theoretical background, the methodology and a practical realization of a spectrum optimized alarm clock that simulates a sunrise, for a more pleasant awakening. The shown internal light source is a surface mount RGBW led strip for supplementary lighting, due to the placement, the light is scattered light reflected from the surface. The article describes the relationship between the system hardware and software components, also dealing with design possibilities. The proposed methods and solutions are well applicable in other real-life applications.
{"title":"Human Circadian Rhythm Friendly Adaptive Spectrum Wake-up Clock Lighting","authors":"Bertalan Beszédes","doi":"10.1109/SACI58269.2023.10158573","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158573","url":null,"abstract":"This paper aimed to show the theoretical background, the methodology and a practical realization of a spectrum optimized alarm clock that simulates a sunrise, for a more pleasant awakening. The shown internal light source is a surface mount RGBW led strip for supplementary lighting, due to the placement, the light is scattered light reflected from the surface. The article describes the relationship between the system hardware and software components, also dealing with design possibilities. The proposed methods and solutions are well applicable in other real-life applications.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"27 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":"116641635","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/SACI58269.2023.10158548
Ágnes Csiszárik-Kocsir, J. Varga
In the competitive economy of the 21st century, innovation and the attitude to innovation are key factors. The depletion of traditional natural resources in today’s fast-changing world has virtually eliminated the former engine of economic growth, and a new approach is needed to enable economic actors to cope with the new environment. New solutions are the only way to overcome the anomaly of natural resources. It is essential that all economic actors, from micro to large enterprises, can play their part in this process. It is therefore of the utmost importance that the conditions are created in the near future to promote and stimulate innovation. The aim of this study is to present the Hungarian SME sector’s view on the factors that stimulate innovation, assessing the potential characteristics that can contribute to these processes and behaviours.
{"title":"Innovation and factors leading to innovative behaviour according to Hungarian businesses1","authors":"Ágnes Csiszárik-Kocsir, J. Varga","doi":"10.1109/SACI58269.2023.10158548","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158548","url":null,"abstract":"In the competitive economy of the 21st century, innovation and the attitude to innovation are key factors. The depletion of traditional natural resources in today’s fast-changing world has virtually eliminated the former engine of economic growth, and a new approach is needed to enable economic actors to cope with the new environment. New solutions are the only way to overcome the anomaly of natural resources. It is essential that all economic actors, from micro to large enterprises, can play their part in this process. It is therefore of the utmost importance that the conditions are created in the near future to promote and stimulate innovation. The aim of this study is to present the Hungarian SME sector’s view on the factors that stimulate innovation, assessing the potential characteristics that can contribute to these processes and behaviours.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"436 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":"132523840","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/SACI58269.2023.10158588
Mihaela-Codruta Ancuti, S. Musuroi, Alina Stingu, C. Lascu
The unidirectional Eight-Switch Power Factor Correction (PFC) converter (operating as a rectifier) was proposed in [1]. Starting from that topology, this paper introduces a novel topology allowing power to flow in both directions (operating as a converter or inverter). This was named the bidirectional Eight-Switch (BES) PFC converter. Performances of the proposed BES PFC converter are evaluated in this study based on simulation studies in Gecko environment. Its efficiency evaluation for a power value of a 2.5 kW is also provided. The grid current harmonic content is in accordance with IEC-6100-3/12 standard.
{"title":"Novel Power Factor Correction Converter Scheme Allowing Bidirectional Power Flow","authors":"Mihaela-Codruta Ancuti, S. Musuroi, Alina Stingu, C. Lascu","doi":"10.1109/SACI58269.2023.10158588","DOIUrl":"https://doi.org/10.1109/SACI58269.2023.10158588","url":null,"abstract":"The unidirectional Eight-Switch Power Factor Correction (PFC) converter (operating as a rectifier) was proposed in [1]. Starting from that topology, this paper introduces a novel topology allowing power to flow in both directions (operating as a converter or inverter). This was named the bidirectional Eight-Switch (BES) PFC converter. Performances of the proposed BES PFC converter are evaluated in this study based on simulation studies in Gecko environment. Its efficiency evaluation for a power value of a 2.5 kW is also provided. The grid current harmonic content is in accordance with IEC-6100-3/12 standard.","PeriodicalId":339156,"journal":{"name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"33 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":"132862608","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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