Pub Date : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426278
Krittakom Srijiranon, Narissara Eiamkanitchat
The issue of air contamination influencing wellbeing is a worldwide issue. The development of a health alarm system benefits not only the general public but also those requiring high levels of health surveillance. The challenge of this research is to develop a system that is highly accurate and improves its efficiency by selecting the appropriate features. This study presents the Neuro-fuzzy model by applying Neighborhood Component Analysis. The proposed model is used to classify the air quality index. The NCA method can specify past periods of data which high efficiency to optimize the prediction model performance. There are a total of 14 input features of meteorological and air pollution data from sensors plus short-term variation data. Various experiments are used to find an appropriate structure of the proposed model. In addition, four other different structures are utilized to confirm the efficacy of the proposed model. The result shows that the proposed model outperforms. Finally, the proposed model can be implemented to create a notification system to forecast air quality index up to three hours ahead.
{"title":"Neuro-fuzzy Model with Neighborhood Component Analysis for Air Quality Prediction","authors":"Krittakom Srijiranon, Narissara Eiamkanitchat","doi":"10.1109/ICEAST52143.2021.9426278","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426278","url":null,"abstract":"The issue of air contamination influencing wellbeing is a worldwide issue. The development of a health alarm system benefits not only the general public but also those requiring high levels of health surveillance. The challenge of this research is to develop a system that is highly accurate and improves its efficiency by selecting the appropriate features. This study presents the Neuro-fuzzy model by applying Neighborhood Component Analysis. The proposed model is used to classify the air quality index. The NCA method can specify past periods of data which high efficiency to optimize the prediction model performance. There are a total of 14 input features of meteorological and air pollution data from sensors plus short-term variation data. Various experiments are used to find an appropriate structure of the proposed model. In addition, four other different structures are utilized to confirm the efficacy of the proposed model. The result shows that the proposed model outperforms. Finally, the proposed model can be implemented to create a notification system to forecast air quality index up to three hours ahead.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115538584","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426285
Suthat Suksagoolpanya, N. Pattanadech
A bushing is one of the most important parts of a transformer. Failure of the bushing may cause the transformer destruction, which can lead to the failure of the electrical power system. Therefore the insulation monitoring of the bushings is essential.This paper investigates the approximate 30 years in serviced medium voltage bushings. The 5 units of aged and deteriorated bushings were removed from the electrical power system, and the electrical testing was performed. The electrical testing included the insulation power factor (IPF) testing and the polarization and depolarization current measurement (PDC).The test results showed that the IPF of the main insulation was increased approximately 1-10 times from the nameplate values and the initial currents of PDC measurement were high for all bushings compared with initial currents of PDC measurement of the good bushing insulation condition from the database. From the test results, the combined test techniques between the power factor testing and the PDC measurement provided useful data for the insulation condition diagnosis of the service bushings.
{"title":"Condition Monitoring Test Techniques for Medium Voltage OIP Bushings","authors":"Suthat Suksagoolpanya, N. Pattanadech","doi":"10.1109/ICEAST52143.2021.9426285","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426285","url":null,"abstract":"A bushing is one of the most important parts of a transformer. Failure of the bushing may cause the transformer destruction, which can lead to the failure of the electrical power system. Therefore the insulation monitoring of the bushings is essential.This paper investigates the approximate 30 years in serviced medium voltage bushings. The 5 units of aged and deteriorated bushings were removed from the electrical power system, and the electrical testing was performed. The electrical testing included the insulation power factor (IPF) testing and the polarization and depolarization current measurement (PDC).The test results showed that the IPF of the main insulation was increased approximately 1-10 times from the nameplate values and the initial currents of PDC measurement were high for all bushings compared with initial currents of PDC measurement of the good bushing insulation condition from the database. From the test results, the combined test techniques between the power factor testing and the PDC measurement provided useful data for the insulation condition diagnosis of the service bushings.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125577316","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426295
Isoon Kanjanasurat, W. Krungseanmuang, V. Chaowalittawin, B. Purahong
This paper presents an egg-counting system method that uses a morphological operation and shows the results in real time on a website. The method begins with image acquisition from a Raspberry Pi camera and converts it to greyscale. A Gaussian blur filter is applied to reduce noise, and the blurred image is then converted to a binary image. Next, an opening operation is utilized to delete small objects from the foreground. Finally, the eggs in the image are counted using a contoured matrix, and the number of eggs is shown on a website. The system was able to count 100% of the eggs and showed the number of eggs in real time.
{"title":"Egg-Counting System Using Image Processing and a Website for Monitoring","authors":"Isoon Kanjanasurat, W. Krungseanmuang, V. Chaowalittawin, B. Purahong","doi":"10.1109/ICEAST52143.2021.9426295","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426295","url":null,"abstract":"This paper presents an egg-counting system method that uses a morphological operation and shows the results in real time on a website. The method begins with image acquisition from a Raspberry Pi camera and converts it to greyscale. A Gaussian blur filter is applied to reduce noise, and the blurred image is then converted to a binary image. Next, an opening operation is utilized to delete small objects from the foreground. Finally, the eggs in the image are counted using a contoured matrix, and the number of eggs is shown on a website. The system was able to count 100% of the eggs and showed the number of eggs in real time.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126146171","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426257
Rathachai Chawuthai, Kasidit Pruekwangkhao, T. Threepak
The ultimate goal of our research mission is to build a traffic model for travel time prediction in Thailand in order to improve the mobility domain of the smart city. To achieve our mission, this piece of research places important on a traffic speed prediction of any reference points at an incoming time that is one significant part of the travel time prediction. In this study, we employ a linear model for predicting traffic speed of some kilometer stones in the next several minutes. Our prediction model performs less root-mean-squared-error score under some spatial-temporal conditions. In addition, the temporal-lagged associations among kilometer stones, which were extracted during the feature selection process, are observed as a traffic-dependent network on roads for analyzing the traffic congestion spreads in the future.
{"title":"Spatial-Temporal Traffic Speed Prediction on Thailand Roads","authors":"Rathachai Chawuthai, Kasidit Pruekwangkhao, T. Threepak","doi":"10.1109/ICEAST52143.2021.9426257","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426257","url":null,"abstract":"The ultimate goal of our research mission is to build a traffic model for travel time prediction in Thailand in order to improve the mobility domain of the smart city. To achieve our mission, this piece of research places important on a traffic speed prediction of any reference points at an incoming time that is one significant part of the travel time prediction. In this study, we employ a linear model for predicting traffic speed of some kilometer stones in the next several minutes. Our prediction model performs less root-mean-squared-error score under some spatial-temporal conditions. In addition, the temporal-lagged associations among kilometer stones, which were extracted during the feature selection process, are observed as a traffic-dependent network on roads for analyzing the traffic congestion spreads in the future.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124157495","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426299
Chanyapong Thongsawang
This study investigates the diversity in sound of the harpsichord, including articulation created by different ways of touching, duration and accentuation. Examined also are ornaments that are often added by the performer, as discussed in several historical treatises. Rolled arpeggios at various speeds can also be executed to either make a chord sound gentler or more brilliant. To investigate the unique sound characteristics of the harpsichord, sound analysis is conducted on a replica of a two-manual Blanchet-harpsichord in comparison with a Steinway-grand piano. Temporal and spectral waveform analysis of single tones, chords, short passages with various articulations and an excerpt from Johann Sebastian Bach’s Partita no. 2 in C minor, BWV 826, demonstrates a variety of differences in tones, timbres and phrasings. These results provide scientific ways to describe perception of sound and the art of playing on the harpsichord.
{"title":"Waveform Analysis and Perception of Harpsichord Sounds with Various Articulations and Ornaments","authors":"Chanyapong Thongsawang","doi":"10.1109/ICEAST52143.2021.9426299","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426299","url":null,"abstract":"This study investigates the diversity in sound of the harpsichord, including articulation created by different ways of touching, duration and accentuation. Examined also are ornaments that are often added by the performer, as discussed in several historical treatises. Rolled arpeggios at various speeds can also be executed to either make a chord sound gentler or more brilliant. To investigate the unique sound characteristics of the harpsichord, sound analysis is conducted on a replica of a two-manual Blanchet-harpsichord in comparison with a Steinway-grand piano. Temporal and spectral waveform analysis of single tones, chords, short passages with various articulations and an excerpt from Johann Sebastian Bach’s Partita no. 2 in C minor, BWV 826, demonstrates a variety of differences in tones, timbres and phrasings. These results provide scientific ways to describe perception of sound and the art of playing on the harpsichord.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124461159","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426305
Jatupotn Supramongkonset, S. Duangsuwan, S. Promwong
An application of drone-based wireless networking in agricultural scenarios needs to analyze the radio link budget because of the uncertain propagation from the surrounding. This paper presents a link budget analysis between drone as a drone small cell (DSC) and Internet of Things (IoT) as a ground sensor. The measurement results show the received signal strength indicator (RSSI), path loss, and delay spread at 2.4 GHz frequency when considering the numbers of ground sensors to 15 points and use a single drone enabled with WiFi portable link. It can be found that drone DSC can compensate for the limited power of ground sensors and link budget analysis can optimally evaluate the communication channel in this scenario.
{"title":"A WiFi Link Budget Analysis of Drone-based Communication and IoT Ground Sensors","authors":"Jatupotn Supramongkonset, S. Duangsuwan, S. Promwong","doi":"10.1109/ICEAST52143.2021.9426305","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426305","url":null,"abstract":"An application of drone-based wireless networking in agricultural scenarios needs to analyze the radio link budget because of the uncertain propagation from the surrounding. This paper presents a link budget analysis between drone as a drone small cell (DSC) and Internet of Things (IoT) as a ground sensor. The measurement results show the received signal strength indicator (RSSI), path loss, and delay spread at 2.4 GHz frequency when considering the numbers of ground sensors to 15 points and use a single drone enabled with WiFi portable link. It can be found that drone DSC can compensate for the limited power of ground sensors and link budget analysis can optimally evaluate the communication channel in this scenario.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"2022 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128323598","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 device used for measuring the current-voltage characteristic of the photovoltaic panel has been developed. The circuit is built with the STM32F103C8, Arm based 32-bit microcontroller. The power MOSFET is used as the electronic load. The electronic load is controlled by varying the gate-source voltage between 0 to +3V. The voltage is detected with a voltage divider across the Panel’s output terminal. The current is detected by the high wattage current sensor, 0.1 Ohms 10 Watt. The control firmware sweeps the gate voltage and captures the current-voltage signal with 56 sampling points. The current-voltage curve is plotted on the 128x64 pixels OLED display. The results show the maximum power point (PMAX), open-circuit voltage (Voc), short-circuit current (Isc), and fill factor (FF).
{"title":"IV Tracer For Photovoltaic Panel","authors":"Wichit Sirichote, Chawin Wuttikornkanarak, Siwa Srathongkao, Saisudawan Suttiyan, Nuttakrit Somdock, B. Klongratog","doi":"10.1109/ICEAST52143.2021.9426264","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426264","url":null,"abstract":"A device used for measuring the current-voltage characteristic of the photovoltaic panel has been developed. The circuit is built with the STM32F103C8, Arm based 32-bit microcontroller. The power MOSFET is used as the electronic load. The electronic load is controlled by varying the gate-source voltage between 0 to +3V. The voltage is detected with a voltage divider across the Panel’s output terminal. The current is detected by the high wattage current sensor, 0.1 Ohms 10 Watt. The control firmware sweeps the gate voltage and captures the current-voltage signal with 56 sampling points. The current-voltage curve is plotted on the 128x64 pixels OLED display. The results show the maximum power point (PMAX), open-circuit voltage (Voc), short-circuit current (Isc), and fill factor (FF).","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116774401","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426256
T. Pongsuttiyakorn, P. Sooraksa, Pimpen Pomchaloempong
This paper presents design and implementation of an automatic learning model for a drying process. Setting surface temperature limit as an upper boundary for the drying process is very helpful key to prevent loss in physico-chemical properties such as color variation, nutrients, preferable odors, and surface textures. Based upon input-out data acquired from the designed system, the drying machine can identify system parameter adjusting by innovation sequences of the Kalman gains. The model is then used as a predictor to prescribe suggestion rules for firing automatically suitable control gains. According to the experimental results, Thai curry paste as testing materials under the proposed control process reveal desired properties, meaning that the scheme is effective and is available to be adopted for other similar dried food requirements.
{"title":"Surface Temperature Limit as Food Quality Control in Automatic Learning Model for Drying Process","authors":"T. Pongsuttiyakorn, P. Sooraksa, Pimpen Pomchaloempong","doi":"10.1109/ICEAST52143.2021.9426256","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426256","url":null,"abstract":"This paper presents design and implementation of an automatic learning model for a drying process. Setting surface temperature limit as an upper boundary for the drying process is very helpful key to prevent loss in physico-chemical properties such as color variation, nutrients, preferable odors, and surface textures. Based upon input-out data acquired from the designed system, the drying machine can identify system parameter adjusting by innovation sequences of the Kalman gains. The model is then used as a predictor to prescribe suggestion rules for firing automatically suitable control gains. According to the experimental results, Thai curry paste as testing materials under the proposed control process reveal desired properties, meaning that the scheme is effective and is available to be adopted for other similar dried food requirements.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122108899","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426289
Pinyada Rajadanuraks, Sarapom Suranuntchai, Suejit Pechprasam, T. Treebupachatsakul
Nowadays, the diagnose of diseases or abnormally clinical conditions of the chest can be done by reading chest X-Ray images by radiologists. The diagnosis from radiologist is considered qualitative analysis, which collects and analyzes the non-numerical data, which relates to the individual’s experience. Consequently, errors may occur during the diagnosis, such as misdiagnosis. Therefore, this research has a purpose for developing the software program which gathers Medical Image Processing and Artificial Intelligence focuses on Deep Learning Neural Network, implementing on MATLAB program by training and classifying on labeled and non-labeled chest X-Ray images between normal condition and 13 abnormal cases. It is also stated that the trained model results are considered quantitative analysis, which can be confirmed or rejected by testing the causal relationship between variables. In this research, we apply several pre-trained architectures to our network, which, finally, the ResNet-50 architecture gave the highest percentage of accuracy compared with other architectures. Moreover, it is the network that appropriates for our image dataset.
{"title":"Performance Comparison for Different Neural Network Architectures for chest X-Ray Image Classification","authors":"Pinyada Rajadanuraks, Sarapom Suranuntchai, Suejit Pechprasam, T. Treebupachatsakul","doi":"10.1109/ICEAST52143.2021.9426289","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426289","url":null,"abstract":"Nowadays, the diagnose of diseases or abnormally clinical conditions of the chest can be done by reading chest X-Ray images by radiologists. The diagnosis from radiologist is considered qualitative analysis, which collects and analyzes the non-numerical data, which relates to the individual’s experience. Consequently, errors may occur during the diagnosis, such as misdiagnosis. Therefore, this research has a purpose for developing the software program which gathers Medical Image Processing and Artificial Intelligence focuses on Deep Learning Neural Network, implementing on MATLAB program by training and classifying on labeled and non-labeled chest X-Ray images between normal condition and 13 abnormal cases. It is also stated that the trained model results are considered quantitative analysis, which can be confirmed or rejected by testing the causal relationship between variables. In this research, we apply several pre-trained architectures to our network, which, finally, the ResNet-50 architecture gave the highest percentage of accuracy compared with other architectures. Moreover, it is the network that appropriates for our image dataset.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127663542","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426308
Setianto, YB Dwi, Wahyuningrum, Shinta Estri
Telemedicine is an efficient way of distributing health services. In the time of Covid-19 pandemic, telemedicine is one way to break the chain of spreading Covid-19. Telemedicine is a future health service model. Telemedicine implementation demands security guarantees, not only the safety of medical data but also the safety of medical devices connected to the telemedicine system. In previous research on Telemedicine, it was designed a medical device authentication and authorization system in a multi-tier telemedicine system, a system that securing the Telemedicine systems from uncalibrated, unauthorized, and unauthenticated medical devices. In the multi-tire communication system, JavaScript Object Notation Remote Procedure Call (JSON RPC) has become a standard that is widely used in multi-tier communication system. This study implements a medical device authentication and authorization system in a multi-tier telemedicine system, using JSON-RPC as a communication platform. This study performs security testing of service load resistance testing. The experimental results found that the implementation of JSON-RPC in the authentication and authorization system for medical devices in a multi-tier telemedicine system was able to produce a secure system with high service resistance to load.
{"title":"Multi-Tier Model with JSON-RPC in Telemedicine Devices Authentication and Authorization Protocol","authors":"Setianto, YB Dwi, Wahyuningrum, Shinta Estri","doi":"10.1109/ICEAST52143.2021.9426308","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426308","url":null,"abstract":"Telemedicine is an efficient way of distributing health services. In the time of Covid-19 pandemic, telemedicine is one way to break the chain of spreading Covid-19. Telemedicine is a future health service model. Telemedicine implementation demands security guarantees, not only the safety of medical data but also the safety of medical devices connected to the telemedicine system. In previous research on Telemedicine, it was designed a medical device authentication and authorization system in a multi-tier telemedicine system, a system that securing the Telemedicine systems from uncalibrated, unauthorized, and unauthenticated medical devices. In the multi-tire communication system, JavaScript Object Notation Remote Procedure Call (JSON RPC) has become a standard that is widely used in multi-tier communication system. This study implements a medical device authentication and authorization system in a multi-tier telemedicine system, using JSON-RPC as a communication platform. This study performs security testing of service load resistance testing. The experimental results found that the implementation of JSON-RPC in the authentication and authorization system for medical devices in a multi-tier telemedicine system was able to produce a secure system with high service resistance to load.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"327 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115457760","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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