Pub Date : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795747
Premsai Peddi, Anuragh Dasgupta, Vilas H. Gaidhane
Smart farming is an evolving concept in the field of information and communications technology. In this, the IoT sensors and image processing is used to establish transparent mechanisms of feedback about the growth and productivity of crops and the environmental surrounding conditions. In this paper, the solution of the aforementioned problem statement in the form of an accountable live information system of the cultivated crops to yield efficiency has been presented. The feedback mechanism consists of monitoring parameters like temperature, humidity, weather, soil and crop moisture, crop health, etc. It provides the information between the planting phase and the harvesting phase to facilitate soil management and climate forecasting in real time. The proposed paper suggests the use of an open data platform, namely Adafruit IO, for visualizing and analyzing real-time in the IoT integrated system. Further, image processing approach has been used for crop remotely health monitoring for 2 widespread diseases namely, Glomeralla Cingulata and Phaeoisariopsis Bataticola. Owing to the economical nature and the ergonomic design of the proposed system, it has the feasibility of being implemented on a large scale in water scarce economies aiming to build a sustainable smart farming infrastructure by automating existing irrigation systems.
{"title":"Smart Irrigation Systems: Soil Monitoring and Disease Detection for Precision Agriculture","authors":"Premsai Peddi, Anuragh Dasgupta, Vilas H. Gaidhane","doi":"10.1109/iemtronics55184.2022.9795747","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795747","url":null,"abstract":"Smart farming is an evolving concept in the field of information and communications technology. In this, the IoT sensors and image processing is used to establish transparent mechanisms of feedback about the growth and productivity of crops and the environmental surrounding conditions. In this paper, the solution of the aforementioned problem statement in the form of an accountable live information system of the cultivated crops to yield efficiency has been presented. The feedback mechanism consists of monitoring parameters like temperature, humidity, weather, soil and crop moisture, crop health, etc. It provides the information between the planting phase and the harvesting phase to facilitate soil management and climate forecasting in real time. The proposed paper suggests the use of an open data platform, namely Adafruit IO, for visualizing and analyzing real-time in the IoT integrated system. Further, image processing approach has been used for crop remotely health monitoring for 2 widespread diseases namely, Glomeralla Cingulata and Phaeoisariopsis Bataticola. Owing to the economical nature and the ergonomic design of the proposed system, it has the feasibility of being implemented on a large scale in water scarce economies aiming to build a sustainable smart farming infrastructure by automating existing irrigation systems.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133088636","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}
Coronavirus disease (Covid-19) is an infectious disease that attacks the respiratory area caused by the severe acute respiratory syndrome (SARS-CoV-2) virus. According to the World Health Organization (WHO) as of April 2022, there were more than 500 million cases of Covid-19, and 6 million of them died. One of the tools to detect Covid-19 disease is using X-ray images. Digital X-ray images implementation can be developed classification method using machine learning. By using machine learning, the diagnosis of this disease can be faster. This study applied a features extraction method using the Histogram of Oriented Gradients (HOG) algorithm and the Linear Support Vector Machine (SVM), K-Nearest Neighbor (KNN) Medium and Decision Tree (DT) Coarse Tree classification methods. The study can be used in the diagnosis of Covid-19 disease. The best method among the classification methods is features extraction from HOG algorithm and DT Coarse Tree. The highest values of accuracy, precision, recall, specificity, and F-score were 83.67%, 96.30%, 78.79%, 98.25, and 76.48%.
{"title":"Machine Learning Performances for Covid-19 Images Classification based Histogram of Oriented Gradients Features","authors":"Y. Jusman, Wikan Tyassari, Difa Nisrina, Fahrul Galih Santosa, Nugroho Abdi Prayitno","doi":"10.1109/iemtronics55184.2022.9795854","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795854","url":null,"abstract":"Coronavirus disease (Covid-19) is an infectious disease that attacks the respiratory area caused by the severe acute respiratory syndrome (SARS-CoV-2) virus. According to the World Health Organization (WHO) as of April 2022, there were more than 500 million cases of Covid-19, and 6 million of them died. One of the tools to detect Covid-19 disease is using X-ray images. Digital X-ray images implementation can be developed classification method using machine learning. By using machine learning, the diagnosis of this disease can be faster. This study applied a features extraction method using the Histogram of Oriented Gradients (HOG) algorithm and the Linear Support Vector Machine (SVM), K-Nearest Neighbor (KNN) Medium and Decision Tree (DT) Coarse Tree classification methods. The study can be used in the diagnosis of Covid-19 disease. The best method among the classification methods is features extraction from HOG algorithm and DT Coarse Tree. The highest values of accuracy, precision, recall, specificity, and F-score were 83.67%, 96.30%, 78.79%, 98.25, and 76.48%.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124895387","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795786
Deyby Huamanchahua, Pedro Toledo-Garcia, Jack Aguirre, Sayda Huacre
Medical conditions and accidents can cause immobility in certain parts of the body such as the upper extremities. To help people in the rehabilitation process, various robotic devices have been designed, such as exoskeletons; however, they have limited features that did not achieve optimal performance. This article presents a systematic review of the design of hand exoskeletons applied to rehabilitation. The goal is to provide the researcher with a structured matrix of features and components for the development of a much more efficient hand exoskeleton. Different databases and specialized search engines were used because they helped in the collection of information from the different investigations from the year 2019 to 2021. Filtering and selection of the investigations were carried out, so in the end, only 33 investigations were selected. Finally, it is concluded that there is the possibility of improvement in the development of hand exoskeletons that contribute to the rehabilitation process.
{"title":"Hand Exoskeletons for Rehabilitation: A Systematic Review","authors":"Deyby Huamanchahua, Pedro Toledo-Garcia, Jack Aguirre, Sayda Huacre","doi":"10.1109/iemtronics55184.2022.9795786","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795786","url":null,"abstract":"Medical conditions and accidents can cause immobility in certain parts of the body such as the upper extremities. To help people in the rehabilitation process, various robotic devices have been designed, such as exoskeletons; however, they have limited features that did not achieve optimal performance. This article presents a systematic review of the design of hand exoskeletons applied to rehabilitation. The goal is to provide the researcher with a structured matrix of features and components for the development of a much more efficient hand exoskeleton. Different databases and specialized search engines were used because they helped in the collection of information from the different investigations from the year 2019 to 2021. Filtering and selection of the investigations were carried out, so in the end, only 33 investigations were selected. Finally, it is concluded that there is the possibility of improvement in the development of hand exoskeletons that contribute to the rehabilitation process.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129370748","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795805
R. S, S. Dutta, D. Ray
In this work, we performed gated Kelvin Probe Force Microscopy on reduced graphene oxide thin-film transistors with time transient. This enabled us to probe the electronic density of states around the charge neutrality point in reduced graphene oxide thin film. The charge neutrality point is of significance to know the nature of the intrinsic doping of the thin film and the switching of the majority carriers in the transistor devices. We measured the transfer characteristics of the reduced graphene oxide transistor devices to estimate the intrinsic charge neutrality point. The results were in good agreement with the time-resolved gated surface potential measurements obtained using Kelvin probe force microscopy. We propose that gated time-resolved measurement of these semi-metals can be an effective tool to study the nature of electronic states.
{"title":"Probing the states around the charge neutrality point of reduced graphene oxide with time-resolved gated Kelvin Probe Force Microscopy","authors":"R. S, S. Dutta, D. Ray","doi":"10.1109/iemtronics55184.2022.9795805","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795805","url":null,"abstract":"In this work, we performed gated Kelvin Probe Force Microscopy on reduced graphene oxide thin-film transistors with time transient. This enabled us to probe the electronic density of states around the charge neutrality point in reduced graphene oxide thin film. The charge neutrality point is of significance to know the nature of the intrinsic doping of the thin film and the switching of the majority carriers in the transistor devices. We measured the transfer characteristics of the reduced graphene oxide transistor devices to estimate the intrinsic charge neutrality point. The results were in good agreement with the time-resolved gated surface potential measurements obtained using Kelvin probe force microscopy. We propose that gated time-resolved measurement of these semi-metals can be an effective tool to study the nature of electronic states.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129518093","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795828
Samrat Banerjee, Atanu Panda, Indrajit Pandey, P. Bhowmick
This work outlines an adaptive non-linear model-based PI like control scheme for the spherical tank level system. The efficiency of the model-based PI like control law is implemented by conducting simulation studies on the spherical tank system. The servo compliance with above said control problem exhibit satisfactory performances. Simultaneously, model state(s) and the influential model parameter(s) were estimated using unscented Kalman filter algorithm and the updated state values of the process model were employed to derive the control strategy. From the effective analysis, it has been observed that the model-based PI like control scheme utilizing non-linear Kalman filter strategy offers better performance over the traditional non-linear model-based PI like controller.
{"title":"Employing Nonlinear Model based PI like Controller for the Time Varying System","authors":"Samrat Banerjee, Atanu Panda, Indrajit Pandey, P. Bhowmick","doi":"10.1109/iemtronics55184.2022.9795828","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795828","url":null,"abstract":"This work outlines an adaptive non-linear model-based PI like control scheme for the spherical tank level system. The efficiency of the model-based PI like control law is implemented by conducting simulation studies on the spherical tank system. The servo compliance with above said control problem exhibit satisfactory performances. Simultaneously, model state(s) and the influential model parameter(s) were estimated using unscented Kalman filter algorithm and the updated state values of the process model were employed to derive the control strategy. From the effective analysis, it has been observed that the model-based PI like control scheme utilizing non-linear Kalman filter strategy offers better performance over the traditional non-linear model-based PI like controller.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125281908","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795836
Ashim Mondal, Md Jishan Ali, P. Dutta
Renewable energy sources have been proven to be reliable, and they are also thought to be the best way to meet our growing energy needs. The rising interest in solar power, increasing costs and functional expenses are led to a few convincing explanations behind the requirement for energy monitoring. Today, Solar Photovoltaic (PV) power is the newest and brightest advancement in the renewable energy market that reduces the requirement of fossil fuel by-products. To get the most out of solar power generation, it's important to pay a lot of attention to how it's kept and how it's used. The purpose of this project work is to display real-time PV parameters on mobile or computer remotely, manage the data and load which is connected with the PV panel and examine the statistics via graph. In this work 20-watt solar panel is used as a PV module, Boltuino (Bolt IoT+ Arduino) device is used as a controller circuit and Current sensor, Voltage sensor, Temperature & Humidity sensor are used for solar parameter collection. The Arduino Uno collects the current sensor, voltage sensor, temperature & humidity sensor data and sends it to the BOLT via serial communication. Following receipt of the statistics in BOLT, it displays all of the solar parameters and generates a graph, which stores all of the information. The alert message will be sent to the registered mobile phone through SMS, and be able to monitor the data from the PV module and remotely operate the system in the event of any unwanted situation like a short circuit or voltage cut out.
{"title":"IoT Enabled Smart Solar Panel Monitoring System Based on Boltuino Platform","authors":"Ashim Mondal, Md Jishan Ali, P. Dutta","doi":"10.1109/iemtronics55184.2022.9795836","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795836","url":null,"abstract":"Renewable energy sources have been proven to be reliable, and they are also thought to be the best way to meet our growing energy needs. The rising interest in solar power, increasing costs and functional expenses are led to a few convincing explanations behind the requirement for energy monitoring. Today, Solar Photovoltaic (PV) power is the newest and brightest advancement in the renewable energy market that reduces the requirement of fossil fuel by-products. To get the most out of solar power generation, it's important to pay a lot of attention to how it's kept and how it's used. The purpose of this project work is to display real-time PV parameters on mobile or computer remotely, manage the data and load which is connected with the PV panel and examine the statistics via graph. In this work 20-watt solar panel is used as a PV module, Boltuino (Bolt IoT+ Arduino) device is used as a controller circuit and Current sensor, Voltage sensor, Temperature & Humidity sensor are used for solar parameter collection. The Arduino Uno collects the current sensor, voltage sensor, temperature & humidity sensor data and sends it to the BOLT via serial communication. Following receipt of the statistics in BOLT, it displays all of the solar parameters and generates a graph, which stores all of the information. The alert message will be sent to the registered mobile phone through SMS, and be able to monitor the data from the PV module and remotely operate the system in the event of any unwanted situation like a short circuit or voltage cut out.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127623371","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795792
M. Silva, H. Lepikson
Wireless communication is one of the most implemented solutions, allowing a high level of interconnectivity in different networks, including industrial critical systems responsible for production control and safety. Performance improvements with the increase in wireless connectivity between "things", however, are followed by the increase in vulnerabilities due to the risks related to the security of wireless networks. Thus, this study aims to provide a view of the wireless communication vulnerabilities in the context of applications for industrial environments, assess maturity of current technologies in critical systems and provide a map of resilience measures to be adopted to anticipate and mitigate risks.
{"title":"Resilience Evaluation of Cyber Risks in Industrial Internet of Things","authors":"M. Silva, H. Lepikson","doi":"10.1109/iemtronics55184.2022.9795792","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795792","url":null,"abstract":"Wireless communication is one of the most implemented solutions, allowing a high level of interconnectivity in different networks, including industrial critical systems responsible for production control and safety. Performance improvements with the increase in wireless connectivity between \"things\", however, are followed by the increase in vulnerabilities due to the risks related to the security of wireless networks. Thus, this study aims to provide a view of the wireless communication vulnerabilities in the context of applications for industrial environments, assess maturity of current technologies in critical systems and provide a map of resilience measures to be adopted to anticipate and mitigate risks.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127727165","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795770
Dev Dave, Vaibhav Anu
Mobile app developers are always looking for ways to use the reviews (provided by their app’s users) to improve their application (e.g., adding a new functionality in the app that a user mentioned in their review). Usually, there are thousands of user reviews that are available for each mobile app and isolating software requirements manually from such as big dataset can be difficult and time-consuming. The primary objective of the current research is to automate the process of extracting functional requirements and filtering out non-requirements from user app reviews to help app developers better meet the wants and needs of their users. This paper proposes and evaluates machine learning based models to identify and classify software requirements from both, formal Software Requirements Specifications (SRS) documents and Mobile App Reviews (written by users) using machine learning (ML) algorithms combined with natural language processing (NLP) techniques. Initial evaluation of our ML-based models show that they can help classify user app reviews and software requirements as Functional Requirements (FR), Non-Functional Requirements (NFR), or Non-Requirements (NR).
{"title":"Identifying Functional and Non-functional Software Requirements From User App Reviews","authors":"Dev Dave, Vaibhav Anu","doi":"10.1109/iemtronics55184.2022.9795770","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795770","url":null,"abstract":"Mobile app developers are always looking for ways to use the reviews (provided by their app’s users) to improve their application (e.g., adding a new functionality in the app that a user mentioned in their review). Usually, there are thousands of user reviews that are available for each mobile app and isolating software requirements manually from such as big dataset can be difficult and time-consuming. The primary objective of the current research is to automate the process of extracting functional requirements and filtering out non-requirements from user app reviews to help app developers better meet the wants and needs of their users. This paper proposes and evaluates machine learning based models to identify and classify software requirements from both, formal Software Requirements Specifications (SRS) documents and Mobile App Reviews (written by users) using machine learning (ML) algorithms combined with natural language processing (NLP) techniques. Initial evaluation of our ML-based models show that they can help classify user app reviews and software requirements as Functional Requirements (FR), Non-Functional Requirements (NFR), or Non-Requirements (NR).","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124547746","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795769
A. Husnain, M. Iqbal
While the global electric vehicle (EV) adoption is on rise, developing countries like Pakistan have been facing many obstacles in the face of EV adoption such as shortfall of electricity, high EV prices, low average income and absence of commercial and residential charging infrastructure. In this paper, we propose a design of a micro solar electric vehicle, which would help overcome all of these problems and provide an economical yet feasible solution. The design and system sizing of the micro solar EV was done in HOMER Pro. A dynamic model of the micro solar EV was created in MATLAB/Simulink, which implemented PV generation, maximum power point tracking, battery charging and discharging, DC-motor operation and speed control of the electric vehicle, while taking into consideration environmental factors like irradiance and temperature.
{"title":"Dynamic Modeling of a Micro Solar Electric Vehicle for Pakistan using Simulink","authors":"A. Husnain, M. Iqbal","doi":"10.1109/iemtronics55184.2022.9795769","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795769","url":null,"abstract":"While the global electric vehicle (EV) adoption is on rise, developing countries like Pakistan have been facing many obstacles in the face of EV adoption such as shortfall of electricity, high EV prices, low average income and absence of commercial and residential charging infrastructure. In this paper, we propose a design of a micro solar electric vehicle, which would help overcome all of these problems and provide an economical yet feasible solution. The design and system sizing of the micro solar EV was done in HOMER Pro. A dynamic model of the micro solar EV was created in MATLAB/Simulink, which implemented PV generation, maximum power point tracking, battery charging and discharging, DC-motor operation and speed control of the electric vehicle, while taking into consideration environmental factors like irradiance and temperature.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115759536","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 : 2022-06-01DOI: 10.1109/iemtronics55184.2022.9795746
A. Kabulov, Inomjon Yarashov, Alisher Otakhonov
Systems are ideally and rapidly evolving with the development of the Internet and modern web technologies. Example, Ecological monitoring information system has become very important in determining its superiority as a system, so it should be tested. This article describes how to benchmark a system by creating a state change graph to simulate different intuitions on the part of each subsystem, and then comparing the graph to Petri net modeling based on Functioning table (PNMFT). Test cases can be prepared based on the accessibility of trees based on comparable PNMFTs. The existing fact-testing strategy for comprehensive testing of the system will be further generalized to improve the consistent quality of the remaining tests. After that, talk about algorithmic analysis of the system is an important for information security issue. The initial stage of ongoing research to improve the reliability of algorithmic analysis of algorithmic formalization of web systems is described. It may also be advisable to include a set of dynamic coverage criteria for web systems defined for the statistical testing approach used through algorithmic analysis to improve testing quality and algorithmic formalization of the web system through algorithmic analysis.
{"title":"Algorithmic Analysis of the System Based on the Functioning Table and Information Security","authors":"A. Kabulov, Inomjon Yarashov, Alisher Otakhonov","doi":"10.1109/iemtronics55184.2022.9795746","DOIUrl":"https://doi.org/10.1109/iemtronics55184.2022.9795746","url":null,"abstract":"Systems are ideally and rapidly evolving with the development of the Internet and modern web technologies. Example, Ecological monitoring information system has become very important in determining its superiority as a system, so it should be tested. This article describes how to benchmark a system by creating a state change graph to simulate different intuitions on the part of each subsystem, and then comparing the graph to Petri net modeling based on Functioning table (PNMFT). Test cases can be prepared based on the accessibility of trees based on comparable PNMFTs. The existing fact-testing strategy for comprehensive testing of the system will be further generalized to improve the consistent quality of the remaining tests. After that, talk about algorithmic analysis of the system is an important for information security issue. The initial stage of ongoing research to improve the reliability of algorithmic analysis of algorithmic formalization of web systems is described. It may also be advisable to include a set of dynamic coverage criteria for web systems defined for the statistical testing approach used through algorithmic analysis to improve testing quality and algorithmic formalization of the web system through algorithmic analysis.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125698211","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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