Pub Date : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752301
E. Devi, V. Athappan, Rahul R Rajendran, E. Devi, Dr.G. Emayavaramban, S. Sriragavi, Dr.M. Sivaramkrishnan
Effective screening helps for quick and accurate detection of COVID-19 and it also decreases the burden on the healthcare system. Prediction models with numerous criteria have been developed to estimate the probability of infection. These are designed to assist medical workers across the world in triaging victi ms, especially in places with limited medical resources. For predicting the COVID-19 using symptoms, the dataset is taken from the website of the Israeli Ministry of Health. The dataset contains 9 attributes and 2,78,848 samples. The raw dataset is cleaned using pre-processing techniques. The Machine learning algorithms like Random Forest, K Nearest Neighbor, Decision Tree, and hybrid Random Forest, K Nearest Neighbor, and Decision Tree are applied on the 1,95,194 samples to identify the model. The predicted model is tested on 83,654 samples to ensure the quality of the designed model. The performance metrics like ROC [Receiver Operating Characteristic] curve, True Positive and Negative Rate, False Positive and Negative Rate, Positive and Negative Predictive Value, and Accuracy are applied to check the model. From the evaluation result, the proposed hybrid model gives high accuracy of 98.97% . The proposed technique might be utilized to priorities COVID-19 screening when testing capabilities are constrained., among several other things.
{"title":"A Diagnostic Study on Prediction of Covid-19 by Symptoms Using Machine Learning","authors":"E. Devi, V. Athappan, Rahul R Rajendran, E. Devi, Dr.G. Emayavaramban, S. Sriragavi, Dr.M. Sivaramkrishnan","doi":"10.1109/ICEARS53579.2022.9752301","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752301","url":null,"abstract":"Effective screening helps for quick and accurate detection of COVID-19 and it also decreases the burden on the healthcare system. Prediction models with numerous criteria have been developed to estimate the probability of infection. These are designed to assist medical workers across the world in triaging victi ms, especially in places with limited medical resources. For predicting the COVID-19 using symptoms, the dataset is taken from the website of the Israeli Ministry of Health. The dataset contains 9 attributes and 2,78,848 samples. The raw dataset is cleaned using pre-processing techniques. The Machine learning algorithms like Random Forest, K Nearest Neighbor, Decision Tree, and hybrid Random Forest, K Nearest Neighbor, and Decision Tree are applied on the 1,95,194 samples to identify the model. The predicted model is tested on 83,654 samples to ensure the quality of the designed model. The performance metrics like ROC [Receiver Operating Characteristic] curve, True Positive and Negative Rate, False Positive and Negative Rate, Positive and Negative Predictive Value, and Accuracy are applied to check the model. From the evaluation result, the proposed hybrid model gives high accuracy of 98.97% . The proposed technique might be utilized to priorities COVID-19 screening when testing capabilities are constrained., among several other things.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132197328","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752016
Saleem Akram P, Kanakaraja P, Naveen Mani Bhaskar Ch, Jaideep M, Shanmukh D
The advancement of the Web of Things is turning out to be increasingly more popular with its first home mechanisation status. This paper covers the planning, execution, and activity of IoT equipment and programming intended for ceaseless domesticated animals observing in horse shelters and during planning. LoRa Low Power Wide Region Organisation (LPWAN) innovation is used to cover various areas, as well as the proper setup of web administrations for data storage, examination, and perception. Since LPWAN focal access controls (Macintosh) layers doesn't provide a pre-discourse listening strategy, Macintosh layer is provided with more organisation-based admittance to keep away from struggle (CSMA/CA). The framework is planned utilising off-the-rack equipment, and its presentation is additionally estimated with the assistance format. The underlying aftereffects of the utilisation of HW in the field guarantee the soundness of the anecdotal framework and its dependability.
{"title":"An LPWAN Based Indoor & Outdoor Continuous Live Stock Monitoring System","authors":"Saleem Akram P, Kanakaraja P, Naveen Mani Bhaskar Ch, Jaideep M, Shanmukh D","doi":"10.1109/ICEARS53579.2022.9752016","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752016","url":null,"abstract":"The advancement of the Web of Things is turning out to be increasingly more popular with its first home mechanisation status. This paper covers the planning, execution, and activity of IoT equipment and programming intended for ceaseless domesticated animals observing in horse shelters and during planning. LoRa Low Power Wide Region Organisation (LPWAN) innovation is used to cover various areas, as well as the proper setup of web administrations for data storage, examination, and perception. Since LPWAN focal access controls (Macintosh) layers doesn't provide a pre-discourse listening strategy, Macintosh layer is provided with more organisation-based admittance to keep away from struggle (CSMA/CA). The framework is planned utilising off-the-rack equipment, and its presentation is additionally estimated with the assistance format. The underlying aftereffects of the utilisation of HW in the field guarantee the soundness of the anecdotal framework and its dependability.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131861230","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9751916
Thillai Rani M, Sam Jebastin J, Sangesh V, Shemsingh Cyrus G
Printed circuit boards (PCBs) and semiconductor electronic components are often stored in a vacuum sealed moisture barrier bag. Further moisture protection is ensured with the use of humidity indicator cards and desiccant packs. The humidity indicator cards are manually checked, and the components are subjected to hot air drying based on the moisture level. In this paper, an automated approach is proposed for this process. The moisture content in the device is measured using moisture sensor and the microcontroller will initiate baking based on its input. If it is normal level the microcontroller will be in normal state, if it reaches the threshold, representing the presence of moisture, the microcontroller will provide instructions to dry the board or de vice using a hot air-drying oven at the required temperature based on the level of moisture. This helps in extending the shelf life by removal of moisture from the semiconductor de vice and enables effective utilization in production or storage line.
{"title":"Automated Moisture Level Maintenance and Baking Process of Semiconductor Components","authors":"Thillai Rani M, Sam Jebastin J, Sangesh V, Shemsingh Cyrus G","doi":"10.1109/ICEARS53579.2022.9751916","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751916","url":null,"abstract":"Printed circuit boards (PCBs) and semiconductor electronic components are often stored in a vacuum sealed moisture barrier bag. Further moisture protection is ensured with the use of humidity indicator cards and desiccant packs. The humidity indicator cards are manually checked, and the components are subjected to hot air drying based on the moisture level. In this paper, an automated approach is proposed for this process. The moisture content in the device is measured using moisture sensor and the microcontroller will initiate baking based on its input. If it is normal level the microcontroller will be in normal state, if it reaches the threshold, representing the presence of moisture, the microcontroller will provide instructions to dry the board or de vice using a hot air-drying oven at the required temperature based on the level of moisture. This helps in extending the shelf life by removal of moisture from the semiconductor de vice and enables effective utilization in production or storage line.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114318698","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752356
GK Yudheksha, Prince Kumar, S. Keerthana
Combining the characteristics of GPUs and CPUs can greatly enhance the performance and bandwidth, though their design philosophies are inherently different. This research paper focuses on the GPU parallel computing technologies for encryption of AES and RSA algorithms. With the arrival of NVIDIA Technology’s Compute Unified Device Architecture (CUDA), the graphics processing unit (GPU) has shifted from graphics-capable devices to universal sequence streamline units. Cryptography is about the security techniques. The Advanced Encryption Standard (AES) is widely used in the file encryption, wireless security, SSL/TLS, etc. However, its execution efficiency can still be improved to provide better security. Similarly, improvements can also be made in serial implementations of the RSA algorithm. Parallel implementation of security algorithms has been shown to improve execution efficiency in comparison to serial implementation. This research paper focuses on parallel implementation of AES and RSA algorithms on GPU to enhance performance and energy efficiency in comparison to CPU
{"title":"A study of AES and RSA algorithms based on GPUs","authors":"GK Yudheksha, Prince Kumar, S. Keerthana","doi":"10.1109/ICEARS53579.2022.9752356","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752356","url":null,"abstract":"Combining the characteristics of GPUs and CPUs can greatly enhance the performance and bandwidth, though their design philosophies are inherently different. This research paper focuses on the GPU parallel computing technologies for encryption of AES and RSA algorithms. With the arrival of NVIDIA Technology’s Compute Unified Device Architecture (CUDA), the graphics processing unit (GPU) has shifted from graphics-capable devices to universal sequence streamline units. Cryptography is about the security techniques. The Advanced Encryption Standard (AES) is widely used in the file encryption, wireless security, SSL/TLS, etc. However, its execution efficiency can still be improved to provide better security. Similarly, improvements can also be made in serial implementations of the RSA algorithm. Parallel implementation of security algorithms has been shown to improve execution efficiency in comparison to serial implementation. This research paper focuses on parallel implementation of AES and RSA algorithms on GPU to enhance performance and energy efficiency in comparison to CPU","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115089545","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752177
M. Venkata Subbarao, G. Challa Ram, D. Girish Kumar, Sudheer Kumar Terlapu
In Medical analysis and treatment the primary step is to identify the presence of tumor in brain and the effected area. In this regard, Brain Tumor (BT) classification helps the doctor to know the stage of tumor. This paper presents BT classification using a set of ensemble classifiers (EC). To train the classifier 17 redundant noise features are extracted from the MRI images. In training phase, these features are fed to variety of EC classifiers for learning. In testing phase, the trained model is used to identify the class of MRI image. Performance of proposed EC classifiers are analyzed under different training rates. Performance is analyzed for different MR image data sets under different training rates. Experimental results depicted that EC classifiers performance is superior than most of the traditional machine learning (ML) classifiers such as random forecasting, logistic regression, and naive bayes classifiers.
{"title":"Brain Tumor Classification using Ensemble Classifiers","authors":"M. Venkata Subbarao, G. Challa Ram, D. Girish Kumar, Sudheer Kumar Terlapu","doi":"10.1109/ICEARS53579.2022.9752177","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752177","url":null,"abstract":"In Medical analysis and treatment the primary step is to identify the presence of tumor in brain and the effected area. In this regard, Brain Tumor (BT) classification helps the doctor to know the stage of tumor. This paper presents BT classification using a set of ensemble classifiers (EC). To train the classifier 17 redundant noise features are extracted from the MRI images. In training phase, these features are fed to variety of EC classifiers for learning. In testing phase, the trained model is used to identify the class of MRI image. Performance of proposed EC classifiers are analyzed under different training rates. Performance is analyzed for different MR image data sets under different training rates. Experimental results depicted that EC classifiers performance is superior than most of the traditional machine learning (ML) classifiers such as random forecasting, logistic regression, and naive bayes classifiers.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115094798","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9751871
Wen Yuan
This paper conducts the development of the key technologies of the legal case management information system considering QoS optimization. The designed system administrator can carry out that the all-round management of the system, including account management, database management, security setting management, core data entry management, and data statistics management. With this help, the QoS optimization model is then integrated to improve the systematic performance of the system as the key technology. Similar to the layering in the data source, the data set is composed of the fields of the data set, and contains the relevant information of the attribute fields of various entity element categories. Furthermore, the designed system is analyzed and implemented on the public data sets to show the results.
{"title":"Development of Key Technologies of Legal Case Management Information System Considering QoS Optimization","authors":"Wen Yuan","doi":"10.1109/ICEARS53579.2022.9751871","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751871","url":null,"abstract":"This paper conducts the development of the key technologies of the legal case management information system considering QoS optimization. The designed system administrator can carry out that the all-round management of the system, including account management, database management, security setting management, core data entry management, and data statistics management. With this help, the QoS optimization model is then integrated to improve the systematic performance of the system as the key technology. Similar to the layering in the data source, the data set is composed of the fields of the data set, and contains the relevant information of the attribute fields of various entity element categories. Furthermore, the designed system is analyzed and implemented on the public data sets to show the results.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116960263","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752333
Sirak Gebrehiyot, M. Madiajagan, B. Pattanaik, E. Balamurugan, S. Selvakanmani, S. Vijayarangam
Internet of Nano-Things is regarded as an extensive model for future applications that deploys an improved technical knowledge on data acquisition and classification. In this paper, we utilize the availability of gold nanoclusters in Internet of Things (IoT) sensors over a monolayer of grapheme film that tends to change with respect to the sensing properties. These IoT devices are utilized for transmit the sensing parameters to the local hub that deposits or offloads the data to cloud. The input data is then processed and classified to test the efficacy rate of the IoT sensors. The simulation is conducted on a real-time IoT nanotechnology sensor device to test the accuracy of data acquisition. The results show that the proposed model with nanotechnology IoT sensor is effective in capturing the data at a higher response and accurate rate than other methods.
{"title":"High Sensitive IoT Nanotechnology Sensors for Improved Data Acquisition and Processing","authors":"Sirak Gebrehiyot, M. Madiajagan, B. Pattanaik, E. Balamurugan, S. Selvakanmani, S. Vijayarangam","doi":"10.1109/ICEARS53579.2022.9752333","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752333","url":null,"abstract":"Internet of Nano-Things is regarded as an extensive model for future applications that deploys an improved technical knowledge on data acquisition and classification. In this paper, we utilize the availability of gold nanoclusters in Internet of Things (IoT) sensors over a monolayer of grapheme film that tends to change with respect to the sensing properties. These IoT devices are utilized for transmit the sensing parameters to the local hub that deposits or offloads the data to cloud. The input data is then processed and classified to test the efficacy rate of the IoT sensors. The simulation is conducted on a real-time IoT nanotechnology sensor device to test the accuracy of data acquisition. The results show that the proposed model with nanotechnology IoT sensor is effective in capturing the data at a higher response and accurate rate than other methods.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123704195","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752161
R. Bibave, P. Thokal, Ram Hajare, Anurag M. Deulkar, P. William, Ajaysingh Chandan
In this paper two topologies of single phase to three phase power converters (SPTP) using one single phase rectifier and two single phase rectifiers connected in parallel at front side respectively are discussed. The topology using two single phase rectifiers reduces the switch current, total harmonic distortion in the input supply current and makes the input current nearly in phase with supply voltage. Though the numbers of switches are more in two single phase rectifier topology but the power loss may be lower than the topology using one single phase rectifier. Both the topologies are simulated in MATLAB/SIMULINK and the outputs are compared in terms of THD of input supply current. In both the rectifier PWM controlled technique is used.
{"title":"A Comparative Analysis of Single Phase to Three Phase Power Converter for Input Current THD Reduction","authors":"R. Bibave, P. Thokal, Ram Hajare, Anurag M. Deulkar, P. William, Ajaysingh Chandan","doi":"10.1109/ICEARS53579.2022.9752161","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752161","url":null,"abstract":"In this paper two topologies of single phase to three phase power converters (SPTP) using one single phase rectifier and two single phase rectifiers connected in parallel at front side respectively are discussed. The topology using two single phase rectifiers reduces the switch current, total harmonic distortion in the input supply current and makes the input current nearly in phase with supply voltage. Though the numbers of switches are more in two single phase rectifier topology but the power loss may be lower than the topology using one single phase rectifier. Both the topologies are simulated in MATLAB/SIMULINK and the outputs are compared in terms of THD of input supply current. In both the rectifier PWM controlled technique is used.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125841525","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752162
K. Sumalatha, E. Muneender
In push-button control places featuring villages, isles along with irregular areas, there is a chance of repeating energy breakdowns, existing drops, or energy variations as a result of grid-side deficiencies. Grid-connected renewable resource systems or even micro-grid systems are a lot better for such remote internet sites to satisfy the nearby vital lots criteria during grid-side failings. In renewable energy systems, solar electric power systems come in addition, to the hybrid PV-battery systems or even possibly energy storage systems, which are a great deal added reliable in providing uninterruptible energy to the place essential bunches throughout grid-side weakness. This energy storage device additionally enhances the system parts during electrical energy renovations. In the present paper, a PV-battery mixture system along with DC-side integrating is checked out, and also an electric energy stabilizing control is highly recommended to move the electrical power to grid/load along with the electric battery. This short article targets to deliver a comprehensive top-down view of research study on crossbreed PV, Wind, electric battery unit for ON-network and also OFF-GRID applications.
{"title":"Study on Hybrid PV, Wind, Battery System for ON–GRID and OFF–GRID Applications : Vision, Requirements, Challenges, Insights, and Opportunities","authors":"K. Sumalatha, E. Muneender","doi":"10.1109/ICEARS53579.2022.9752162","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752162","url":null,"abstract":"In push-button control places featuring villages, isles along with irregular areas, there is a chance of repeating energy breakdowns, existing drops, or energy variations as a result of grid-side deficiencies. Grid-connected renewable resource systems or even micro-grid systems are a lot better for such remote internet sites to satisfy the nearby vital lots criteria during grid-side failings. In renewable energy systems, solar electric power systems come in addition, to the hybrid PV-battery systems or even possibly energy storage systems, which are a great deal added reliable in providing uninterruptible energy to the place essential bunches throughout grid-side weakness. This energy storage device additionally enhances the system parts during electrical energy renovations. In the present paper, a PV-battery mixture system along with DC-side integrating is checked out, and also an electric energy stabilizing control is highly recommended to move the electrical power to grid/load along with the electric battery. This short article targets to deliver a comprehensive top-down view of research study on crossbreed PV, Wind, electric battery unit for ON-network and also OFF-GRID applications.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125907654","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 : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752072
Sankararao Majji, C. S. Dash, Asisa Kumar Panigrahy
The ion-sensitive field-effect transistor (ISFET) is one of the most sensitive and adaptable sensors available, and it may be employed in modern complementary metal-oxide semiconductor (CMOS) techniques. As a result of its tiny size, low power consumption, and compatibility with industry-standard complementary metal oxide semiconductor (CMOS) technologies, potentiometric sensors like ISFETs are gaining appeal among sensor scientists and industrialists. These past decades have been broken down into three distinct time periods, which is described in detail in this paper to give an overview of what has been accomplished in the field over this. This work, briefly reviews about history, characteristic of the ISFET, and further discussion is performed about vivid applications of the ISFET.
{"title":"Ion Sensitive Field Effect Transistor as a Bio-compatible Device: A Review","authors":"Sankararao Majji, C. S. Dash, Asisa Kumar Panigrahy","doi":"10.1109/ICEARS53579.2022.9752072","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752072","url":null,"abstract":"The ion-sensitive field-effect transistor (ISFET) is one of the most sensitive and adaptable sensors available, and it may be employed in modern complementary metal-oxide semiconductor (CMOS) techniques. As a result of its tiny size, low power consumption, and compatibility with industry-standard complementary metal oxide semiconductor (CMOS) technologies, potentiometric sensors like ISFETs are gaining appeal among sensor scientists and industrialists. These past decades have been broken down into three distinct time periods, which is described in detail in this paper to give an overview of what has been accomplished in the field over this. This work, briefly reviews about history, characteristic of the ISFET, and further discussion is performed about vivid applications of the ISFET.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129854129","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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