Pub Date : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177566
Gergana Vacheva, Plamen Stanchev, N. Hinov
Increasing problems related to the global warming and environmental pollution are increasing significantly. For this reason, the study of the principle of operation of hybrid and electric vehicles is a serious challenge. It is necessary to make an easy transition from internal combustion engines to electric engines. For these reasons in the current paper a model-based evaluation of energy consumption of hybrid electric vehicles is studied. The paper presents the typical hybrid vehicle for which are evaluated the energy consumption of the internal combustion engine, energy of the battery and electric motor. The model is realized in MATLAB/Simulink with QSS Toolbox included. The simulation results for three different driving cycles provided by the European Commission are presented and summarized in tables.
{"title":"Model-Based Evaluation of Energy Consumption in Hybrid Electric Vehicles","authors":"Gergana Vacheva, Plamen Stanchev, N. Hinov","doi":"10.1109/IEEECONF58372.2023.10177566","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177566","url":null,"abstract":"Increasing problems related to the global warming and environmental pollution are increasing significantly. For this reason, the study of the principle of operation of hybrid and electric vehicles is a serious challenge. It is necessary to make an easy transition from internal combustion engines to electric engines. For these reasons in the current paper a model-based evaluation of energy consumption of hybrid electric vehicles is studied. The paper presents the typical hybrid vehicle for which are evaluated the energy consumption of the internal combustion engine, energy of the battery and electric motor. The model is realized in MATLAB/Simulink with QSS Toolbox included. The simulation results for three different driving cycles provided by the European Commission are presented and summarized in tables.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129004996","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 : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177555
Abhash Kumar, Jawar Singh, B. Gupta
The von Neumann computing architecture has been the workhorse for virtually all computing systems for the last several decades. However, it faces serious issues of memory wall problems with the ever-increasing demand for data-intensive computing systems, also known as the von Neumann bottleneck. To mitigate this bottleneck, one of the approaches that researchers have come up with is to enable in-memory Boolean computation. In this paper, in-memory computing within ten transistors (10T) SRAM bit cell array to realize any arbitrary Boolean logic in sum-of-product (SOP) form is proposed for the first time. The proposed 10T SRAM cell was designed using 45nm PTM model cards and simulated on SPICE tool. The in-memory operations were found to be accurate and robust to process variations as was observed from Monte Carlo analysis. Further, the gain we get in terms of realization of arbitrary Boolean logic overshadows the negligible increase in energy and latency compared to previous works.
{"title":"10T SRAM Cell as an In-Memory Computing Engine for a Large Range of Boolean Computations","authors":"Abhash Kumar, Jawar Singh, B. Gupta","doi":"10.1109/IEEECONF58372.2023.10177555","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177555","url":null,"abstract":"The von Neumann computing architecture has been the workhorse for virtually all computing systems for the last several decades. However, it faces serious issues of memory wall problems with the ever-increasing demand for data-intensive computing systems, also known as the von Neumann bottleneck. To mitigate this bottleneck, one of the approaches that researchers have come up with is to enable in-memory Boolean computation. In this paper, in-memory computing within ten transistors (10T) SRAM bit cell array to realize any arbitrary Boolean logic in sum-of-product (SOP) form is proposed for the first time. The proposed 10T SRAM cell was designed using 45nm PTM model cards and simulated on SPICE tool. The in-memory operations were found to be accurate and robust to process variations as was observed from Monte Carlo analysis. Further, the gain we get in terms of realization of arbitrary Boolean logic overshadows the negligible increase in energy and latency compared to previous works.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114775961","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 : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177533
Gergana Vacheva, Plamen Stanchev, N. Hinov
In the present paper, a simulation model for the study of energy flows in an electric vehicle has been implemented and modeled. An induction motor was used to describe the vehicles propulsion system and a permanent magnet synchronous machine was used for simulation of an electric vehicle with included dynamics. A standard model of an asynchronous machine and the control system is used. The presented model is realized in MATLAB/Simulink. The main purpose of the present study is to examine and study the principle of operation of different types of electric vehicles manufactured with asynchronous machines such as Tesla and others. The data used for simulation are provided by various manufacturers. These studies are useful for determination of energy flowsand the required power for different electric vehicles. This evaluation can be used for determination of new methodology for optimal control and increasing of the energy efficiency in the electric vehicles. Also, this development would be useful for realizing a research bench with two different machines coupled.
{"title":"Modelling and Simulation of Induction Machine for Control of Energy Flows in Electric Vehicles","authors":"Gergana Vacheva, Plamen Stanchev, N. Hinov","doi":"10.1109/IEEECONF58372.2023.10177533","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177533","url":null,"abstract":"In the present paper, a simulation model for the study of energy flows in an electric vehicle has been implemented and modeled. An induction motor was used to describe the vehicles propulsion system and a permanent magnet synchronous machine was used for simulation of an electric vehicle with included dynamics. A standard model of an asynchronous machine and the control system is used. The presented model is realized in MATLAB/Simulink. The main purpose of the present study is to examine and study the principle of operation of different types of electric vehicles manufactured with asynchronous machines such as Tesla and others. The data used for simulation are provided by various manufacturers. These studies are useful for determination of energy flowsand the required power for different electric vehicles. This evaluation can be used for determination of new methodology for optimal control and increasing of the energy efficiency in the electric vehicles. Also, this development would be useful for realizing a research bench with two different machines coupled.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114853481","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 : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177594
Andres Rojas, G. Dolecek
The motivation for this work was to investigate the advantages and disadvantages of two promising techniques for narrowband spectrum sensing: fuzzy logic and deep learning which can be useful for future users. To this end, we present three fuzzy logic systems and four deep learning-based systems for narrowband spectrum sensing. The fuzzy logic systems include triangular and Gaussian membership functions, multiple implications, and aggregation methods. The deep learning systems are based on three basic architectures, including convolutional neural networks (CNN), long short-term memory (LSTM), and fully connected (FC) layers. Simulation results show that deep learning techniques provide a higher probability of detection in a wider SNR range than fuzzy logic techniques. However, fuzzy logic utilizes simpler hardware-friendly detectors, than deep learning.
{"title":"Narrowband Spectrum Sensing: Fuzzy Logic Versus Deep Learning Systems","authors":"Andres Rojas, G. Dolecek","doi":"10.1109/IEEECONF58372.2023.10177594","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177594","url":null,"abstract":"The motivation for this work was to investigate the advantages and disadvantages of two promising techniques for narrowband spectrum sensing: fuzzy logic and deep learning which can be useful for future users. To this end, we present three fuzzy logic systems and four deep learning-based systems for narrowband spectrum sensing. The fuzzy logic systems include triangular and Gaussian membership functions, multiple implications, and aggregation methods. The deep learning systems are based on three basic architectures, including convolutional neural networks (CNN), long short-term memory (LSTM), and fully connected (FC) layers. Simulation results show that deep learning techniques provide a higher probability of detection in a wider SNR range than fuzzy logic techniques. However, fuzzy logic utilizes simpler hardware-friendly detectors, than deep learning.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121933007","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 : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177564
Stefan R. Panic, Bojana Milosavljevlć, Srđan Milosavljevlć, M. Vesković, P. Spalevic
This paper presents a novel shadowed Chi-square model for the probability density function (PDF) of free space optics (FSO) channel irradiance fluctuations. The performance of the on-off keying (OOK) modulated FSO system in the presence of atmospheric turbulence and misalignment fading is analyzed, determining the ABER at the receiving side in relation to average optical power. The results are shown graphically and discussed to understand the effect of turbulence and other parameters on the received signal quality in the OOK modulated FSO system.
{"title":"FSO System Performances for Novel Turbulence Shadowed Chi-square Model","authors":"Stefan R. Panic, Bojana Milosavljevlć, Srđan Milosavljevlć, M. Vesković, P. Spalevic","doi":"10.1109/IEEECONF58372.2023.10177564","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177564","url":null,"abstract":"This paper presents a novel shadowed Chi-square model for the probability density function (PDF) of free space optics (FSO) channel irradiance fluctuations. The performance of the on-off keying (OOK) modulated FSO system in the presence of atmospheric turbulence and misalignment fading is analyzed, determining the ABER at the receiving side in relation to average optical power. The results are shown graphically and discussed to understand the effect of turbulence and other parameters on the received signal quality in the OOK modulated FSO system.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125952224","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 : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177493
M. Ozcelik
The idle run test in transformers is done to find the iron losses of the transformer. In the no-load test, the secondary winding ends of the transformer are open-circuited, and the rated-rated voltage is applied to the primary winding ends. Since the current drawn from the network in idle operation is small, no-load copper losses are neglected, and all idle power drawn is considered iron losses. The study examined the variation of iron losses at various voltage values applied to the transformer's primary. The iron losses showed a non-linear change depending on the applied voltage. When a load is connected to the secondary of the transformer, it has been observed that as the load increases, the iron losses do not change depending on the load and remain constant. Short circuit tests find copper losses in transformers. The test is done from the primary or secondary side. Since the applied voltage is small in the quick circuit test, iron losses are neglected. The copper losses at various loads were calculated by increasing the load connected to the secondary transformer.
{"title":"Experimental Investigation of Changes in Iron and Copper Losses in the Transformer","authors":"M. Ozcelik","doi":"10.1109/IEEECONF58372.2023.10177493","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177493","url":null,"abstract":"The idle run test in transformers is done to find the iron losses of the transformer. In the no-load test, the secondary winding ends of the transformer are open-circuited, and the rated-rated voltage is applied to the primary winding ends. Since the current drawn from the network in idle operation is small, no-load copper losses are neglected, and all idle power drawn is considered iron losses. The study examined the variation of iron losses at various voltage values applied to the transformer's primary. The iron losses showed a non-linear change depending on the applied voltage. When a load is connected to the secondary of the transformer, it has been observed that as the load increases, the iron losses do not change depending on the load and remain constant. Short circuit tests find copper losses in transformers. The test is done from the primary or secondary side. Since the applied voltage is small in the quick circuit test, iron losses are neglected. The copper losses at various loads were calculated by increasing the load connected to the secondary transformer.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131298657","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 : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177657
Cemil Altin
In this study, an optimization tool was designed to be used in the optimization of hybrid renewable energy systems, working with the artificial bee colony algorithm with a unique dispatch strategy. The designed tool has been compared with the HOMER optimization program. The tool, which can achieve approximately the same results as HOMER, is much faster than the HOMER program. In addition, for the first time, very detailed results were obtained by using a swarm-based optimization algorithm. As a reliability measure, the capacity shortage parameter which is not frequently used in the literature is used. When using the swarm-based algorithm to optimize green energy sources, the capacity shortage parameter was used for the first time. The cost function is the Cost of Energy (COE). The outcomes show promise for thorough optimization research in this field. In conclusion, the precision, complexity, and difficult search space generation processes of the HOMER program have been replaced by a novel optimization tool that can generate results much more quickly. With the help of this tool, it will be simpler to generate a large amount of data and to rapidly obtain the optimization outputs required for training surrogate models, machine learning, or deep learning based optimization systems.
{"title":"Artificial Bee Colony Algorithm Based Very Fast Renewable Energy System Optimization Tool Design","authors":"Cemil Altin","doi":"10.1109/IEEECONF58372.2023.10177657","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177657","url":null,"abstract":"In this study, an optimization tool was designed to be used in the optimization of hybrid renewable energy systems, working with the artificial bee colony algorithm with a unique dispatch strategy. The designed tool has been compared with the HOMER optimization program. The tool, which can achieve approximately the same results as HOMER, is much faster than the HOMER program. In addition, for the first time, very detailed results were obtained by using a swarm-based optimization algorithm. As a reliability measure, the capacity shortage parameter which is not frequently used in the literature is used. When using the swarm-based algorithm to optimize green energy sources, the capacity shortage parameter was used for the first time. The cost function is the Cost of Energy (COE). The outcomes show promise for thorough optimization research in this field. In conclusion, the precision, complexity, and difficult search space generation processes of the HOMER program have been replaced by a novel optimization tool that can generate results much more quickly. With the help of this tool, it will be simpler to generate a large amount of data and to rapidly obtain the optimization outputs required for training surrogate models, machine learning, or deep learning based optimization systems.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126535047","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 : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177577
Marek Höger, Michal Regul'a, P. Braciník
The complexity of current substation automation systems and digital protection relays makes educating of young people in the scope of substation and protection engineering a difficult task. To fully understand all the relations and dependencies between the relays, switching and measuring equipment, and the substation control system, theoretical lectures must be supported by hands-on training on hardware as close to reality as possible. To bring the education process as close as possible to reality, we decided to develop a new substation model representing a distribution substation with 7 bays, combining real and simulated hardware in a manner to simulate the operation of a real substation. This paper introduces the development of an advanced switchgear simulator, emulating the reactions of the switching equipment in a medium voltage bay to control signals and providing the related protection relay incorporated in the substation model with state signalization. In contrast to several simplified switchgear models used for testing of protection relays, this model allows precisely simulate the control logic of individual switching devices including locking coils and multiple trip coils, reaction time of control coils, operation time of drives, limited energy reserve of the spring drive mechanism and simulate some basic failure modes. The model can simulate both disconnectors and circuit breakers and a single simulator unit can emulate up to 6 independent switching devices.
{"title":"Advanced Switchgear Signals Simulator for a Distribution Substation Model","authors":"Marek Höger, Michal Regul'a, P. Braciník","doi":"10.1109/IEEECONF58372.2023.10177577","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177577","url":null,"abstract":"The complexity of current substation automation systems and digital protection relays makes educating of young people in the scope of substation and protection engineering a difficult task. To fully understand all the relations and dependencies between the relays, switching and measuring equipment, and the substation control system, theoretical lectures must be supported by hands-on training on hardware as close to reality as possible. To bring the education process as close as possible to reality, we decided to develop a new substation model representing a distribution substation with 7 bays, combining real and simulated hardware in a manner to simulate the operation of a real substation. This paper introduces the development of an advanced switchgear simulator, emulating the reactions of the switching equipment in a medium voltage bay to control signals and providing the related protection relay incorporated in the substation model with state signalization. In contrast to several simplified switchgear models used for testing of protection relays, this model allows precisely simulate the control logic of individual switching devices including locking coils and multiple trip coils, reaction time of control coils, operation time of drives, limited energy reserve of the spring drive mechanism and simulate some basic failure modes. The model can simulate both disconnectors and circuit breakers and a single simulator unit can emulate up to 6 independent switching devices.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122265347","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 : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177661
V. Jonkus, Žilvinas Chomanskis, Tadas Danielius
The deep-brain stimulation (DBS) treats symptoms of various movement disorders, such as Parkinson's disease, essential tremor, or generalized dystonia. Pre-clinical research is performed on animal models, mainly small rodents or nonhuman primates. Arterial hypertension, a condition of failed nervous regulation, could be treated by applying electric pulses to modulate the function of regulatory centers in the brain. A novel combined device of the electric pulse generator and invasive blood pressure measurement system is needed to evaluate the DBS effectiveness in hemodynamic control. The device should (1) be small enough to be carried by the animal and not interfere with daily animal routines, (2) should be energy efficient, (3) should record and transmit hemodynamic high-fidelity data wirelessly, (4) should have real-time closed-loop stimulation capability, (6) should be remotely reprogrammable for different pulse widths, amplitudes and shapes. This paper presents the development of a low-cost wireless DBS and blood pressure monitoring system and demonstrates an example of its effectiveness while experimenting with a laboratory rat model. This device can be used as a novel solution to study the effects of electric stimulation on various brain targets of hemodynamic importance in freely moving laboratory animals.
{"title":"Wireless DBS and Blood Pressure Measurement System for Experiments with Animals","authors":"V. Jonkus, Žilvinas Chomanskis, Tadas Danielius","doi":"10.1109/IEEECONF58372.2023.10177661","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177661","url":null,"abstract":"The deep-brain stimulation (DBS) treats symptoms of various movement disorders, such as Parkinson's disease, essential tremor, or generalized dystonia. Pre-clinical research is performed on animal models, mainly small rodents or nonhuman primates. Arterial hypertension, a condition of failed nervous regulation, could be treated by applying electric pulses to modulate the function of regulatory centers in the brain. A novel combined device of the electric pulse generator and invasive blood pressure measurement system is needed to evaluate the DBS effectiveness in hemodynamic control. The device should (1) be small enough to be carried by the animal and not interfere with daily animal routines, (2) should be energy efficient, (3) should record and transmit hemodynamic high-fidelity data wirelessly, (4) should have real-time closed-loop stimulation capability, (6) should be remotely reprogrammable for different pulse widths, amplitudes and shapes. This paper presents the development of a low-cost wireless DBS and blood pressure monitoring system and demonstrates an example of its effectiveness while experimenting with a laboratory rat model. This device can be used as a novel solution to study the effects of electric stimulation on various brain targets of hemodynamic importance in freely moving laboratory animals.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125256783","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 : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177497
S. Matuska, P. Brida, I. Bridova
This article presents the implementation of a self-hosted Internet of Things solution on a personal computer. The proposed solution utilizes open-source software components to create a low-cost and customizable alternative to cloud-based IoT solutions. The IoT system is implemented using the Docker platform. The system is designed to collect, process, and visualize sensor data in real-time, and includes a dashboard-type user interface for remote monitoring and control. Other core modules are the Node-RED, the MQTT broker, and the Mongo DB. The solution is easily managed and starts with a single command with few dependencies. We demonstrated the usage of our solutions in creating a single complex IoT project. The results show that the self-hosted IoT solution is a viable option for small-scale IoT projects and can be easily adapted to different types of sensors and applications.
{"title":"Implementation of a Self-hosted Internet of Things Solution on Personal Computer","authors":"S. Matuska, P. Brida, I. Bridova","doi":"10.1109/IEEECONF58372.2023.10177497","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177497","url":null,"abstract":"This article presents the implementation of a self-hosted Internet of Things solution on a personal computer. The proposed solution utilizes open-source software components to create a low-cost and customizable alternative to cloud-based IoT solutions. The IoT system is implemented using the Docker platform. The system is designed to collect, process, and visualize sensor data in real-time, and includes a dashboard-type user interface for remote monitoring and control. Other core modules are the Node-RED, the MQTT broker, and the Mongo DB. The solution is easily managed and starts with a single command with few dependencies. We demonstrated the usage of our solutions in creating a single complex IoT project. The results show that the self-hosted IoT solution is a viable option for small-scale IoT projects and can be easily adapted to different types of sensors and applications.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134326914","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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