Pub Date : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042112
Marius Alexandru Dinca, N. Angelescu, Radu-Alexandru Dragomir, D. Puchianu, I. Caciula
Digital Media Distribution platforms are necessary for delivering multimedia content. Classic client-server approaches and 3-tier architectures are not optimized for media processing. In this paper, we present a serverless modern digital media platform for media content distribution based on the Amazon Web Services (AWS) cloud platform. The proposed platform uses CloudFront for static content cashing, S3 for data storage, Lambda for the dynamic content and Elastic Transcoder for media format conversion. This platform offers reduced loading times and efficient media format conversion/distribution.
{"title":"Digital Media Distribution Platform Using Amazon Web Services","authors":"Marius Alexandru Dinca, N. Angelescu, Radu-Alexandru Dragomir, D. Puchianu, I. Caciula","doi":"10.1109/ECAI46879.2019.9042112","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042112","url":null,"abstract":"Digital Media Distribution platforms are necessary for delivering multimedia content. Classic client-server approaches and 3-tier architectures are not optimized for media processing. In this paper, we present a serverless modern digital media platform for media content distribution based on the Amazon Web Services (AWS) cloud platform. The proposed platform uses CloudFront for static content cashing, S3 for data storage, Lambda for the dynamic content and Elastic Transcoder for media format conversion. This platform offers reduced loading times and efficient media format conversion/distribution.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133645795","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9041995
M. Raducu
In this paper is presented a simple method to extract the parameters of a photovoltaic (PV) cell model using a single current-voltage curve. The experimental results for current-voltage curve are obtained from the constant illumination level of the PV cell. The used model of PV cell is the single-diode model and contained five parameters: $mathbf{I}_{mathbf{ph}}$ – the current generated by light in PV cell, $mathbf{I}_{mathbf{0}}$ – the dark saturation current of the diode, n – the ideality factor of the diode, $mathbf{R}_{mathbf{s}}$ – the series resistance, and $mathbf{R}_{mathbf{sh}}$ – the shunt resistance. The proposed method has been applied for a monocrystalline Si 6 inch PV cell. In order to validate the proposed models, the parameters were used in the Spice simulation.
{"title":"A Simple Method of Modeling the PV Cell from a Single Current-Voltage Curve","authors":"M. Raducu","doi":"10.1109/ECAI46879.2019.9041995","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9041995","url":null,"abstract":"In this paper is presented a simple method to extract the parameters of a photovoltaic (PV) cell model using a single current-voltage curve. The experimental results for current-voltage curve are obtained from the constant illumination level of the PV cell. The used model of PV cell is the single-diode model and contained five parameters: $mathbf{I}_{mathbf{ph}}$ – the current generated by light in PV cell, $mathbf{I}_{mathbf{0}}$ – the dark saturation current of the diode, n – the ideality factor of the diode, $mathbf{R}_{mathbf{s}}$ – the series resistance, and $mathbf{R}_{mathbf{sh}}$ – the shunt resistance. The proposed method has been applied for a monocrystalline Si 6 inch PV cell. In order to validate the proposed models, the parameters were used in the Spice simulation.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123823700","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042062
M. Marcu, F. Popescu, B. L. Samoila, R. Slusariuc, T. Niculescu
It is well known that solar radiation can vary considerably over the course of a day or from one day to the next. In this paper we are presenting the design of a simple MPPT (Maximum Power Point Tracker) charge controller based on perturb and observe algorithm embedded into Atmega 2560 microcontroller. The voltage of the solar cell that operates at its maximum power point at 25C°, which is the standard temperature for testing, is higher than the voltage of battery. While solar panel temperature goes down, the voltage goes up. Therefore, the microcontroller with the MPP algorithm is able to capture the surplus energy and inject it into the accumulator. So, during the colder periods of the year (or the day), a MPPT controlled solar panel can generate up to 30% more energy than during warmer periods. The charge controller will use the microcontroller, DC-DC buck boost circuit, sensors that will read the electrical information from the photovoltaic panel and the battery.
{"title":"Performance Improvement of a Photovoltaic System Using a Programmable Microcontroller","authors":"M. Marcu, F. Popescu, B. L. Samoila, R. Slusariuc, T. Niculescu","doi":"10.1109/ECAI46879.2019.9042062","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042062","url":null,"abstract":"It is well known that solar radiation can vary considerably over the course of a day or from one day to the next. In this paper we are presenting the design of a simple MPPT (Maximum Power Point Tracker) charge controller based on perturb and observe algorithm embedded into Atmega 2560 microcontroller. The voltage of the solar cell that operates at its maximum power point at 25C°, which is the standard temperature for testing, is higher than the voltage of battery. While solar panel temperature goes down, the voltage goes up. Therefore, the microcontroller with the MPP algorithm is able to capture the surplus energy and inject it into the accumulator. So, during the colder periods of the year (or the day), a MPPT controlled solar panel can generate up to 30% more energy than during warmer periods. The charge controller will use the microcontroller, DC-DC buck boost circuit, sensors that will read the electrical information from the photovoltaic panel and the battery.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124144093","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042141
O. Novac, Iulian-Ioan Mureşan, C. Novac, M. Oproescu, C. Gordan, G. Bujdosó
This paper is meant for a better understanding of the main mobile operating systems, Android and iOS, and the overall development of a weather application, determining the strengths and flaws of each platform. The goal is to provide a detailed study of the two mobile platforms, how they work, their market share and the time and costs needed for development.
{"title":"Development of a Weather Application in Android and iOS Operating Systems","authors":"O. Novac, Iulian-Ioan Mureşan, C. Novac, M. Oproescu, C. Gordan, G. Bujdosó","doi":"10.1109/ECAI46879.2019.9042141","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042141","url":null,"abstract":"This paper is meant for a better understanding of the main mobile operating systems, Android and iOS, and the overall development of a weather application, determining the strengths and flaws of each platform. The goal is to provide a detailed study of the two mobile platforms, how they work, their market share and the time and costs needed for development.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121920407","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042162
D. Cazacu, Radu Jubleanu, N. Bizon, Cristian Monea
In this paper a comparative analysis of the stored magnetic energy in cylindrical and toroidal superconducting magnetic coils is performed. For a fair comparison, similar dimensions are used for both coils (diameter and cross section), in analytical and numerical modeling. The numerical modeling has been performed using the finite element COMSOL Multiphysics® software. The energy stored in a toroidal coil is compared with an equivalent cylindrical coil and is shown to be higher with 65% and 57% using the analytical and numerical modeling, respectively. Also, the results have highlighted an error of 21 % and 3.7% for the analytical modeling compared to the numerical modeling in case of cylindrical and toroidal magnetic coils, respectively.
{"title":"Comparative numerical analysis of the stored magnetic energy in cylindrical and toroidal superconducting magnetic coils","authors":"D. Cazacu, Radu Jubleanu, N. Bizon, Cristian Monea","doi":"10.1109/ECAI46879.2019.9042162","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042162","url":null,"abstract":"In this paper a comparative analysis of the stored magnetic energy in cylindrical and toroidal superconducting magnetic coils is performed. For a fair comparison, similar dimensions are used for both coils (diameter and cross section), in analytical and numerical modeling. The numerical modeling has been performed using the finite element COMSOL Multiphysics® software. The energy stored in a toroidal coil is compared with an equivalent cylindrical coil and is shown to be higher with 65% and 57% using the analytical and numerical modeling, respectively. Also, the results have highlighted an error of 21 % and 3.7% for the analytical modeling compared to the numerical modeling in case of cylindrical and toroidal magnetic coils, respectively.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129435528","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042015
Hiba A. Abu-Alsaad
This research paper aims at closely reviewing what are the various applications in e-learning systems. In order to achieve this, it must first define e-learning systems, look at the various components, approaches, and examples of e-learning systems. This paper is divided into two parts; section II and section III. In the first part, the paper tackles the various agent applications in e-learning systems. While In the second section, the research paper looks at the current development, or evolution, of adaptive e-learning systems and the challenges this system faces. In the second section, a review of different forms of adaptive e-learning systems have been made and comparisons made between them.
{"title":"Agent Applications In E-Learning Systems And Current Development And Challenges Of Adaptive E-Learning Systems","authors":"Hiba A. Abu-Alsaad","doi":"10.1109/ECAI46879.2019.9042015","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042015","url":null,"abstract":"This research paper aims at closely reviewing what are the various applications in e-learning systems. In order to achieve this, it must first define e-learning systems, look at the various components, approaches, and examples of e-learning systems. This paper is divided into two parts; section II and section III. In the first part, the paper tackles the various agent applications in e-learning systems. While In the second section, the research paper looks at the current development, or evolution, of adaptive e-learning systems and the challenges this system faces. In the second section, a review of different forms of adaptive e-learning systems have been made and comparisons made between them.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130519734","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042173
C. Iorga, V. Neagoe
This paper presents a model of Deep Convolutional Neural Networks (CNN) based on transfer learning for image recognition. This means to use a Deep CNN system pretrained on the large ImageNet dataset of 14 million images and 1000 classes in order to learn feature selection. The results of the pretraining phase are transferred to the problem of classification for the images belonging to the UC Merced Land Use dataset with 21 classes. As benchmark, we have considered a Deep CNN trained with a fraction of the same UC Merced Land Use dataset containing the test images for classification. The experimental results have pointed out the obvious advantage of the Deep CNN with transfer learning (accuracy of 0.87 using pretraining over 0.46 for fully training on the same dataset).
{"title":"A Deep CNN Approach with Transfer Learning for Image Recognition","authors":"C. Iorga, V. Neagoe","doi":"10.1109/ECAI46879.2019.9042173","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042173","url":null,"abstract":"This paper presents a model of Deep Convolutional Neural Networks (CNN) based on transfer learning for image recognition. This means to use a Deep CNN system pretrained on the large ImageNet dataset of 14 million images and 1000 classes in order to learn feature selection. The results of the pretraining phase are transferred to the problem of classification for the images belonging to the UC Merced Land Use dataset with 21 classes. As benchmark, we have considered a Deep CNN trained with a fraction of the same UC Merced Land Use dataset containing the test images for classification. The experimental results have pointed out the obvious advantage of the Deep CNN with transfer learning (accuracy of 0.87 using pretraining over 0.46 for fully training on the same dataset).","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124257116","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042159
M. Kadar, Daniela Onita
Computer vision is widely used in control of manufacturing processes. However, due to the relatively high costs, automated visual inspection is applied only for the final product and not after each production phase. Faulty products are identified at the end of the production pipeline, little information is provided with regard the causes and the production phase that produced the defect products. This paper presents a deep CNN for the enhancement of the computer vision system by providing additional information on the type of the product and consequently on the production phase that generated that product, and fault, respectively. The CNN has been integrated into the pipeline for the automated process control. This information is important for further decision makings in production flow management. The paper presents full description of the deep CNN model design with discussions based on image analytics carried out on 12k database of images of products from the porcelain industry.
{"title":"A deep CNN for Image Analytics in Automated Manufacturing Process Control","authors":"M. Kadar, Daniela Onita","doi":"10.1109/ECAI46879.2019.9042159","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042159","url":null,"abstract":"Computer vision is widely used in control of manufacturing processes. However, due to the relatively high costs, automated visual inspection is applied only for the final product and not after each production phase. Faulty products are identified at the end of the production pipeline, little information is provided with regard the causes and the production phase that produced the defect products. This paper presents a deep CNN for the enhancement of the computer vision system by providing additional information on the type of the product and consequently on the production phase that generated that product, and fault, respectively. The CNN has been integrated into the pipeline for the automated process control. This information is important for further decision makings in production flow management. The paper presents full description of the deep CNN model design with discussions based on image analytics carried out on 12k database of images of products from the porcelain industry.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124541186","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042107
E. Gati, Sotirios Kokosis, Nikolaos Patsourakis, S. Manias
In this work, the use of series compensation only in the primary side of an inductive charger for biomedical implantable devices is proposed, in order to minimize the component count of the implantable part of the system and increase its lifetime and reliability. Comparison with series-series compensation shows that the proposed topology is an equal substitute for the latter, in terms of output power, when operating at the natural resonant frequency. Simulation results validate the detailed theoretical analysis, suggesting that this is a promising alternative for contactless chargers for medical applications.
{"title":"Analysis of primary-side series compensation of inductive chargers for biomedical implantable devices","authors":"E. Gati, Sotirios Kokosis, Nikolaos Patsourakis, S. Manias","doi":"10.1109/ECAI46879.2019.9042107","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042107","url":null,"abstract":"In this work, the use of series compensation only in the primary side of an inductive charger for biomedical implantable devices is proposed, in order to minimize the component count of the implantable part of the system and increase its lifetime and reliability. Comparison with series-series compensation shows that the proposed topology is an equal substitute for the latter, in terms of output power, when operating at the natural resonant frequency. Simulation results validate the detailed theoretical analysis, suggesting that this is a promising alternative for contactless chargers for medical applications.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128065142","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042014
George Cosmin Stănică, P. Anghelescu
This paper presents a software solution for managing a publishing company. The application provides features such as: Managing employees and clients, processing orders and generating invoices, administration of products and generating warnings concerning low stock. Users may access the application by credentials each having different rights according on them. The system is developed for processing a large amount of data, offering solutions based on simple analysis models. All the algorithms and results obtained are developed and tested using the C# programming language and a database created with SQL Server used for data storage.
{"title":"Management software for a publishing company","authors":"George Cosmin Stănică, P. Anghelescu","doi":"10.1109/ECAI46879.2019.9042014","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042014","url":null,"abstract":"This paper presents a software solution for managing a publishing company. The application provides features such as: Managing employees and clients, processing orders and generating invoices, administration of products and generating warnings concerning low stock. Users may access the application by credentials each having different rights according on them. The system is developed for processing a large amount of data, offering solutions based on simple analysis models. All the algorithms and results obtained are developed and tested using the C# programming language and a database created with SQL Server used for data storage.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126961112","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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