The paper focuses on the issue of capturing a moving target for multiple unmanned aerial vehicles (UAVs). The problem involves a group of UAVs to create a formation-pursuit in the encirclement of a moving target. Dynamic task allocation algorithm is used in 3D dynamic environments to efficiently allocate the target to several existing UAVs. Target information is disseminated to neighbor UAVs by the temporary leader of UAVs. For the formation-pursuit using a position-based strategy, destination points to create formation are made at the sphere coordinates around a moving target. Then the destination points are tracked using a fuzzy state feedback controller. Optimized artificial potential field (APF) algorithm is used to avoid collisions with targets, other UAVs, and static obstacles. Each UAV can choose the optimal trajectory to avoid obstacles and reset the formation after passing them. The simulation results show that multi-UAVs successfully surrounded and formed formation-pursuit of a moving target without colliding with the closest Euclidean distance between UAVs of 1.32957 m. UAVs with a target is 1.94359 m, and UAVs with static obstacles within a range of 1.60632 m.Keywords—formation-pursuit, multi-UAVs, obstacle avoidance, task allocation, tracking control.
{"title":"Cooperative Position-based Formation-pursuit of Moving Targets by Multi-UAVs with Collision Avoidance","authors":"Siti Nurjanah, T. Agustinah, Muhammad Fuad","doi":"10.12962/jaree.v6i2.310","DOIUrl":"https://doi.org/10.12962/jaree.v6i2.310","url":null,"abstract":"The paper focuses on the issue of capturing a moving target for multiple unmanned aerial vehicles (UAVs). The problem involves a group of UAVs to create a formation-pursuit in the encirclement of a moving target. Dynamic task allocation algorithm is used in 3D dynamic environments to efficiently allocate the target to several existing UAVs. Target information is disseminated to neighbor UAVs by the temporary leader of UAVs. For the formation-pursuit using a position-based strategy, destination points to create formation are made at the sphere coordinates around a moving target. Then the destination points are tracked using a fuzzy state feedback controller. Optimized artificial potential field (APF) algorithm is used to avoid collisions with targets, other UAVs, and static obstacles. Each UAV can choose the optimal trajectory to avoid obstacles and reset the formation after passing them. The simulation results show that multi-UAVs successfully surrounded and formed formation-pursuit of a moving target without colliding with the closest Euclidean distance between UAVs of 1.32957 m. UAVs with a target is 1.94359 m, and UAVs with static obstacles within a range of 1.60632 m.Keywords—formation-pursuit, multi-UAVs, obstacle avoidance, task allocation, tracking control.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"111 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77859780","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}
A. Mauludiyanto, G. Hendrantoro, Darien Raditya Krisdaniawan
As time passes, technology is demanded to be more sophisticated, efficient, and fully automatic. Technology development also impacts the medical field since hospitals require a tool that can automatically, thoroughly, and accurately record the physical condition of patients in the inpatient room and forward the results to be checked by the nurses on duty at the nurse station. Automation of patient data recording needs to be performed flexibly and comfortably for patients; thus, a wireless device channelling sensors on the patient's body to the nurse station is required. On this account, it demands a measurement to characterise the radio propagation channels. Therefore, this paper highlights the radio channel between the inpatient room hubs and the nurse station server. The measurement was performed in two rooms separated by a wall in the Antenna and Propagation Laboratory, representing an inpatient room and the nurse station. Further, the channel frequency was set at 3 GHz with a bandwidth of 200 MHz. Through the Vector Network Analyzer (VNA), the result revealed the channel response characteristic that the denser the propagation channels, the lower the power received and vice versa.
{"title":"Measurement And Characterization of Radio Propagation Channels from The Patient Room Hub to The Nurse Station Server for WBAN Medical Applications","authors":"A. Mauludiyanto, G. Hendrantoro, Darien Raditya Krisdaniawan","doi":"10.12962/jaree.v6i2.314","DOIUrl":"https://doi.org/10.12962/jaree.v6i2.314","url":null,"abstract":"As time passes, technology is demanded to be more sophisticated, efficient, and fully automatic. Technology development also impacts the medical field since hospitals require a tool that can automatically, thoroughly, and accurately record the physical condition of patients in the inpatient room and forward the results to be checked by the nurses on duty at the nurse station. Automation of patient data recording needs to be performed flexibly and comfortably for patients; thus, a wireless device channelling sensors on the patient's body to the nurse station is required. On this account, it demands a measurement to characterise the radio propagation channels. Therefore, this paper highlights the radio channel between the inpatient room hubs and the nurse station server. The measurement was performed in two rooms separated by a wall in the Antenna and Propagation Laboratory, representing an inpatient room and the nurse station. Further, the channel frequency was set at 3 GHz with a bandwidth of 200 MHz. Through the Vector Network Analyzer (VNA), the result revealed the channel response characteristic that the denser the propagation channels, the lower the power received and vice versa.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72776142","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}
Arslan Ishtiaq, Zubair Saeed, Misha Urooj Khan, Aqsa Samer, Mamoona Shabbir, Waqar Ahmad
Falls are a major public health concern among the elderly and the number of gadgets designed to detect them has increased significantly in recent years. This document provides a detailed summary of research done on fall detection systems, with comparisons across different types of studies. Its purpose is to be a resource for doctors and engineers who are planning or conducting field research. Following the examination, datasets, limitations, and future imperatives in fall detection were discussed in detail. The quantity of research using context-aware approaches continues to rise, but there is a new trend toward integrating fall detection into smartphones, as well as the use of artificial intelligence in the detection algorithm. Concerns with real-world performance, usability, and reliability are also highlighted.
{"title":"Fall Detection, Wearable Sensors & Artificial Intelligence: A Short Review","authors":"Arslan Ishtiaq, Zubair Saeed, Misha Urooj Khan, Aqsa Samer, Mamoona Shabbir, Waqar Ahmad","doi":"10.12962/jaree.v6i2.323","DOIUrl":"https://doi.org/10.12962/jaree.v6i2.323","url":null,"abstract":"Falls are a major public health concern among the elderly and the number of gadgets designed to detect them has increased significantly in recent years. This document provides a detailed summary of research done on fall detection systems, with comparisons across different types of studies. Its purpose is to be a resource for doctors and engineers who are planning or conducting field research. Following the examination, datasets, limitations, and future imperatives in fall detection were discussed in detail. The quantity of research using context-aware approaches continues to rise, but there is a new trend toward integrating fall detection into smartphones, as well as the use of artificial intelligence in the detection algorithm. Concerns with real-world performance, usability, and reliability are also highlighted.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"141 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73252211","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}
Fachruddin Ari Setiawan, T. Agustinah, Muhammad Fuad
In a pursuit-evasion game, the mobile robot pursuer's ability to navigate from its initial position to the evader while maintaining a safe distance from other objects requires a good obstacle avoidance system. This study aims to perform target tracking in evader sieges and obstacle avoidance against other pursuer robots and static obstacles by proposing a modified extreme seeking controller (ESC). A modified backstepping control (BC) was used as an autopilot control for a nonholonomic mobile robot to execute the modified ESC command. The modified BC based on the modified ESC requires the positions of the targeted evader, pursuers, and obstacles. The pursuer uses this information to capture an evader by arranging the desired formation without colliding with static obstacles or other robots. The results of the simulations show that the pursuers successfully surround the evader and construct the formation without colliding with obstacles. The proposed method resulted in the closest distance of 2.071 m between the pursuers, 1.954 m between each pursuer and the evader, and 2.425 m between the pursuers and static obstacles.
{"title":"Modified Extremum Seeking Control for Target Tracking and Formation Control in Pursuit-Evasion Game","authors":"Fachruddin Ari Setiawan, T. Agustinah, Muhammad Fuad","doi":"10.12962/jaree.v6i2.320","DOIUrl":"https://doi.org/10.12962/jaree.v6i2.320","url":null,"abstract":"In a pursuit-evasion game, the mobile robot pursuer's ability to navigate from its initial position to the evader while maintaining a safe distance from other objects requires a good obstacle avoidance system. This study aims to perform target tracking in evader sieges and obstacle avoidance against other pursuer robots and static obstacles by proposing a modified extreme seeking controller (ESC). A modified backstepping control (BC) was used as an autopilot control for a nonholonomic mobile robot to execute the modified ESC command. The modified BC based on the modified ESC requires the positions of the targeted evader, pursuers, and obstacles. The pursuer uses this information to capture an evader by arranging the desired formation without colliding with static obstacles or other robots. The results of the simulations show that the pursuers successfully surround the evader and construct the formation without colliding with obstacles. The proposed method resulted in the closest distance of 2.071 m between the pursuers, 1.954 m between each pursuer and the evader, and 2.425 m between the pursuers and static obstacles.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80852289","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}
Power conversion devices are essential in a remote off-grid site, typically for military purposes where several types of equipment with varying input characteristics are supplied essentially by the same energy source, necessitating the use of a buck-boost converter for DC-DC applications. Because the conventional buck-boost converter's inverting output voltage is incompatible with some applications, the two-switch buck-boost converter is recommended for battery charging in military applications. The nominal input voltage range of the five-phase interleaved buck-boost converter is 9 – 36 V, the output voltage is 28 V, the output power is 3.3 kW, and the switching frequency is 100 kHz. The simulation of the converter with current mode control in the MATLAB/Simulink simulation environment was performed to confirm validity of the operational theory and the simulation results show consistency with theoretical values. Maximum of 74.41 ms and 51.35 % were recorded under all conditions of operation for the settling and overshoot respectively. The obtained data indicates a 1–2 % variation between the measured and theoretical duty cycle.
{"title":"Current Mode Control of Non-Isolated Multi-Phase Interleaved Buck-Boost Converter for Military Battery Charging Application.","authors":"Ali Shaibu, A. Karaarslan","doi":"10.12962/jaree.v6i2.315","DOIUrl":"https://doi.org/10.12962/jaree.v6i2.315","url":null,"abstract":"Power conversion devices are essential in a remote off-grid site, typically for military purposes where several types of equipment with varying input characteristics are supplied essentially by the same energy source, necessitating the use of a buck-boost converter for DC-DC applications. Because the conventional buck-boost converter's inverting output voltage is incompatible with some applications, the two-switch buck-boost converter is recommended for battery charging in military applications. The nominal input voltage range of the five-phase interleaved buck-boost converter is 9 – 36 V, the output voltage is 28 V, the output power is 3.3 kW, and the switching frequency is 100 kHz. The simulation of the converter with current mode control in the MATLAB/Simulink simulation environment was performed to confirm validity of the operational theory and the simulation results show consistency with theoretical values. Maximum of 74.41 ms and 51.35 % were recorded under all conditions of operation for the settling and overshoot respectively. The obtained data indicates a 1–2 % variation between the measured and theoretical duty cycle.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82440155","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}
A. Santoso, Rafif Artono Darmawan, Mohamad Abdul Hady, Ali Fatoni
An autonomous car is a car that can operate without being controlled by humans. Autonomous cars must be able to detect obstacles so that the car does not hit objects that are on the path to be traversed. Therefore, it takes a variety of sensors to determine the surrounding conditions. The sensors commonly used in autonomous cars are cameras and LiDAR. Compared to LiDAR, the camera has a relatively long detection distance, lower cost, and can be used to classify objects. In this final project, the monocular camera and Mask R-CNN algorithm are used to create a system that can detect obstacles in the form of cars, motorcycles, and humans. The system will generate segmentation instances, bounding boxes, classifications, distance, and width estimation for each detected object. By using a custom dataset that is created manually it fits perfectly with the surrounding environment. The system used can produce a Mean Average Precision of 0.81, a Mean Average Recall of 0.89, an F1 score of 0.86, and a Mean Absolute Percentage Error of 13.4% for the distance estimator. The average detection speed of each image is 0.29 seconds.
{"title":"Obstacle Detection Using Monocular Camera with Mask R-CNN Method","authors":"A. Santoso, Rafif Artono Darmawan, Mohamad Abdul Hady, Ali Fatoni","doi":"10.12962/jaree.v6i2.325","DOIUrl":"https://doi.org/10.12962/jaree.v6i2.325","url":null,"abstract":"An autonomous car is a car that can operate without being controlled by humans. Autonomous cars must be able to detect obstacles so that the car does not hit objects that are on the path to be traversed. Therefore, it takes a variety of sensors to determine the surrounding conditions. The sensors commonly used in autonomous cars are cameras and LiDAR. Compared to LiDAR, the camera has a relatively long detection distance, lower cost, and can be used to classify objects. In this final project, the monocular camera and Mask R-CNN algorithm are used to create a system that can detect obstacles in the form of cars, motorcycles, and humans. The system will generate segmentation instances, bounding boxes, classifications, distance, and width estimation for each detected object. By using a custom dataset that is created manually it fits perfectly with the surrounding environment. The system used can produce a Mean Average Precision of 0.81, a Mean Average Recall of 0.89, an F1 score of 0.86, and a Mean Absolute Percentage Error of 13.4% for the distance estimator. The average detection speed of each image is 0.29 seconds.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"82 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90420520","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}
Aulidina Dwi Nur Andriyanti, I. M. Y. Negara, I. S. Hernanda, D. Fahmi
A transformer is an essential component in a generator, electrical equipment that works non-stop to support electricity needs. There has been a lot of thermal and electrical activity that the presence of an oil-paper insulator can suppress. The insulating ability can decrease and lead the failure due to the aging of the insulator by heating, moisture, and impurities. The aging of the paper was unavoidable, which caused the cellulose bond to break and form dissolved gases with oil, such as Carbon monoxide, Carbon dioxide, Methane, Acetylene, Ethylene, and Ethane. So, conventional dissolved gas analysis (DGA) was used to investigate further. The use of paper insulation with a certain amount affects the electrical strength of the insulator. A breakdown test on AC voltage is carried out for the following investigation. The result showed that the percentage of paper had an optimum number to get high insulator strength. By heating mineral oil for 250 hours and 500 hours, carbon monoxide and carbon dioxide are released in the different results as the DGA test. It can be concluded that cellulose paper has affected mineral oil's dissolved gas and insulator strength.
{"title":"An Investigation of Insulating Paper Effect on Gas and Aging on Mineral Oil Transformer","authors":"Aulidina Dwi Nur Andriyanti, I. M. Y. Negara, I. S. Hernanda, D. Fahmi","doi":"10.12962/jaree.v6i1.246","DOIUrl":"https://doi.org/10.12962/jaree.v6i1.246","url":null,"abstract":"A transformer is an essential component in a generator, electrical equipment that works non-stop to support electricity needs. There has been a lot of thermal and electrical activity that the presence of an oil-paper insulator can suppress. The insulating ability can decrease and lead the failure due to the aging of the insulator by heating, moisture, and impurities. The aging of the paper was unavoidable, which caused the cellulose bond to break and form dissolved gases with oil, such as Carbon monoxide, Carbon dioxide, Methane, Acetylene, Ethylene, and Ethane. So, conventional dissolved gas analysis (DGA) was used to investigate further. The use of paper insulation with a certain amount affects the electrical strength of the insulator. A breakdown test on AC voltage is carried out for the following investigation. The result showed that the percentage of paper had an optimum number to get high insulator strength. By heating mineral oil for 250 hours and 500 hours, carbon monoxide and carbon dioxide are released in the different results as the DGA test. It can be concluded that cellulose paper has affected mineral oil's dissolved gas and insulator strength.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"74 1-2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72595245","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}
S. Kareem, Kurdistan Wns Hama Ali, Shavan K. Askar, Farah Sami Xoshaba, R. Hawezi
Metaheuristic algorithms are computational intelligence paradigms especially used for solving different optimization issues. Metaheuristics examine a collection of solutions otherwise really be wide to be thoroughly addressed or discussed in any other way. Metaheuristics can be applied to a wide range of problems because they make accurate predictions in any optimization situation. Natural processes such as the fact of evolution in Natural selection behavioral genetics, ant behaviors in genetics, swarm behaviors of certain animals, annealing in metallurgy, and others motivate metaheuristics algorithms. The big cluster search algorithm is by far the most commonly used metaheuristic algorithm. The principle behind this algorithm is that it begins with an optimal state and then uses heuristic methods from the community search algorithm to try to refine it. Many metaheuristic algorithms in diverse environments and areas are examined, compared, and described in this article. Such as Genetic Algorithm (GA), ant Colony Optimization Algorithm (ACO), Simulated Annealing (SA), Particle Swarm Optimization (PSO) algorithm, Differential Evolution (DE) algorithm and etc. Finally, show the results of each algorithm in various environments were addressed.
{"title":"Metaheuristic algorithms in optimization and its application: a review","authors":"S. Kareem, Kurdistan Wns Hama Ali, Shavan K. Askar, Farah Sami Xoshaba, R. Hawezi","doi":"10.12962/jaree.v6i1.216","DOIUrl":"https://doi.org/10.12962/jaree.v6i1.216","url":null,"abstract":"Metaheuristic algorithms are computational intelligence paradigms especially used for solving different optimization issues. Metaheuristics examine a collection of solutions otherwise really be wide to be thoroughly addressed or discussed in any other way. Metaheuristics can be applied to a wide range of problems because they make accurate predictions in any optimization situation. Natural processes such as the fact of evolution in Natural selection behavioral genetics, ant behaviors in genetics, swarm behaviors of certain animals, annealing in metallurgy, and others motivate metaheuristics algorithms. The big cluster search algorithm is by far the most commonly used metaheuristic algorithm. The principle behind this algorithm is that it begins with an optimal state and then uses heuristic methods from the community search algorithm to try to refine it. Many metaheuristic algorithms in diverse environments and areas are examined, compared, and described in this article. Such as Genetic Algorithm (GA), ant Colony Optimization Algorithm (ACO), Simulated Annealing (SA), Particle Swarm Optimization (PSO) algorithm, Differential Evolution (DE) algorithm and etc. Finally, show the results of each algorithm in various environments were addressed. ","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"2020 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88073038","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}
Misha Urooj Khan, Zubair Saeed, Ali Raza, Zeeshan Abbasi, S. Ali, Hareem Khan
The fast spread of Coronavirus (COVID-19) poses a huge risk to people all around the world. Recently, COVID-19 testing kits have been unavailable due to rise in effected people and large demand of tests. Keeping the urgency of the situation in mind, an automatic diagnosis method for early detection of COVID-19 is needed. The proposed deep learning decision support system (DSS) for COVID-19 employs MobileNet v2 Deep learning (DL) model for effective and accurate detection. Here we collected Cough auscultations through self-designed digital sensor. The primary experimental results show that the maximum accuracy for training is around 99.91%, and the maximum accuracy for validation is 98.61%, with 97.5% precision, 98.5%recall, and 98% F1-score. The Deep Learning-based model described here strives for similar performance to medical professionals and can help pulmonologist/radiologists increase their working productivity.
{"title":"Deep Learning-based Decision Support System for classification of COVID-19 and Pneumonia patients","authors":"Misha Urooj Khan, Zubair Saeed, Ali Raza, Zeeshan Abbasi, S. Ali, Hareem Khan","doi":"10.12962/jaree.v6i1.229","DOIUrl":"https://doi.org/10.12962/jaree.v6i1.229","url":null,"abstract":"The fast spread of Coronavirus (COVID-19) poses a huge risk to people all around the world. Recently, COVID-19 testing kits have been unavailable due to rise in effected people and large demand of tests. Keeping the urgency of the situation in mind, an automatic diagnosis method for early detection of COVID-19 is needed. The proposed deep learning decision support system (DSS) for COVID-19 employs MobileNet v2 Deep learning (DL) model for effective and accurate detection. Here we collected Cough auscultations through self-designed digital sensor. The primary experimental results show that the maximum accuracy for training is around 99.91%, and the maximum accuracy for validation is 98.61%, with 97.5% precision, 98.5%recall, and 98% F1-score. The Deep Learning-based model described here strives for similar performance to medical professionals and can help pulmonologist/radiologists increase their working productivity.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83923952","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}
Electrical demands are growing rapidly in the world, especially in larger cities, and Indonesia is not an exception. Indonesia's average peak demand is projected to increase by 73% (reaching 43.7 GW) in 2020, by 142% (reaching 61.2 GW) in 2025, and by 205% (reaching 77.3 GW) in 2030, compared with 25.3 GW in 2010 [1]. However, the challenge of completing the growing demand in big cities reveals another huge problem, which are those small villages, communities and islands who doesn’t have access to electricity until now.Many countries apply and use the concept of Micro Grid [MG] as an effective solution, which can be defined as: the grid where each generator or load has to take part in the network management, joining in reactive power supply/voltage control, active power supply/frequency control, fault ride-through capability, and power quality control independently [5].Using an Indonesian remote Island as a real case, different renewable energy sources available will be evaluated to propose the best Micro Grid design integration system to supply electricity facility.This research will describe the principles, measurement process and general mathematical description for the application of the MG model integration.Planning to minimize the traditional electric sources of fossil dependence, the design for Mamburit Island in Sumenep-Indonesia will integrate different generation sources such as, Solar Panel System [PV/SHS] showing Daily Average Irradiation [DNI] of 5.78 kwh/ , vertical Axis Wind Turbine [VAWT] shows wind speed annual average of 8.82 m/s and energy Storage system [ESS] as a real, feasible and friendly options to complete the demand, integrated with Engine Diesel Generator [EDG] present as the actual main sources; minimizing the fossil dependence, through MG principle. Keywords— Smart Micro Grid, Micro Grid Integration, Renewable Energy.
{"title":"Initial Research of Renewable Energy Resources for Hybrid Microgrid Implementation, Using Solar and Wind; Transforming the Diesel Dependence. Case Study of Mamburit Island - Indonesia","authors":"Eric Marcos Hughes Arrocha","doi":"10.12962/jaree.v6i1.221","DOIUrl":"https://doi.org/10.12962/jaree.v6i1.221","url":null,"abstract":"Electrical demands are growing rapidly in the world, especially in larger cities, and Indonesia is not an exception. Indonesia's average peak demand is projected to increase by 73% (reaching 43.7 GW) in 2020, by 142% (reaching 61.2 GW) in 2025, and by 205% (reaching 77.3 GW) in 2030, compared with 25.3 GW in 2010 [1]. However, the challenge of completing the growing demand in big cities reveals another huge problem, which are those small villages, communities and islands who doesn’t have access to electricity until now.Many countries apply and use the concept of Micro Grid [MG] as an effective solution, which can be defined as: the grid where each generator or load has to take part in the network management, joining in reactive power supply/voltage control, active power supply/frequency control, fault ride-through capability, and power quality control independently [5].Using an Indonesian remote Island as a real case, different renewable energy sources available will be evaluated to propose the best Micro Grid design integration system to supply electricity facility.This research will describe the principles, measurement process and general mathematical description for the application of the MG model integration.Planning to minimize the traditional electric sources of fossil dependence, the design for Mamburit Island in Sumenep-Indonesia will integrate different generation sources such as, Solar Panel System [PV/SHS] showing Daily Average Irradiation [DNI] of 5.78 kwh/ , vertical Axis Wind Turbine [VAWT] shows wind speed annual average of 8.82 m/s and energy Storage system [ESS] as a real, feasible and friendly options to complete the demand, integrated with Engine Diesel Generator [EDG] present as the actual main sources; minimizing the fossil dependence, through MG principle. Keywords— Smart Micro Grid, Micro Grid Integration, Renewable Energy.","PeriodicalId":32708,"journal":{"name":"JAREE Journal on Advanced Research in Electrical Engineering","volume":"59 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80730580","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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