Pub Date : 2023-05-18DOI: 10.1109/ACCESS57397.2023.10200439
Naba Krushna Sabat, U. C. Pati, S. Das
Prediction of the meteorological parameters, such as temperature, humidity, rainfall, wind speed, etc., is a crucial task for industrial and agricultural applications. In recent years deep learning techniques have become more popular for predicting the time series weather data because of their accuracy and promising result. However, adding an attention mechanism in the deep learning model provides more long-term prediction accuracy. This article investigates the potential of attention-based deep learning models for improving the forecasting accuracy of the meteorological parameter temperature. The attention mechanism helps in improving the forecasting accuracy, which is evident from the experimental result analysis in terms of key performance metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE).
{"title":"Investigation on the Impact of Attention Mechanism in Deep Learning Models for Temperature Prediction","authors":"Naba Krushna Sabat, U. C. Pati, S. Das","doi":"10.1109/ACCESS57397.2023.10200439","DOIUrl":"https://doi.org/10.1109/ACCESS57397.2023.10200439","url":null,"abstract":"Prediction of the meteorological parameters, such as temperature, humidity, rainfall, wind speed, etc., is a crucial task for industrial and agricultural applications. In recent years deep learning techniques have become more popular for predicting the time series weather data because of their accuracy and promising result. However, adding an attention mechanism in the deep learning model provides more long-term prediction accuracy. This article investigates the potential of attention-based deep learning models for improving the forecasting accuracy of the meteorological parameter temperature. The attention mechanism helps in improving the forecasting accuracy, which is evident from the experimental result analysis in terms of key performance metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE).","PeriodicalId":345351,"journal":{"name":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132034243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-18DOI: 10.1109/access57397.2023.10200866
{"title":"ACCESS 2023 Cover Page","authors":"","doi":"10.1109/access57397.2023.10200866","DOIUrl":"https://doi.org/10.1109/access57397.2023.10200866","url":null,"abstract":"","PeriodicalId":345351,"journal":{"name":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128854814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-18DOI: 10.1109/ACCESS57397.2023.10199650
B. Abhiram, Swati Jha, Y. Yogendra, S. Prasad, J. Dhanraj, V. Ramkumar
The irrigation systems in nurseries can be the cause of various water supply errors- ranging from lack of sufficient water supply to over-watering and imbalance in the water pH levels. Based on the statistics recorded by the department of agriculture and farmers welfare, we have conducted we concluded that the water supply management and plant life maintenance are the major problems. Considering all these real-time errors, we have designed a smart irrigation robot functioning on the inputs from a group of soil moisture sensors which helps eliminate the monotonous task of monitoring and keeping records of the change in soil moisture.
{"title":"Investigations on the Design and Simulation of Smart Irrigation Robot for Nurseries","authors":"B. Abhiram, Swati Jha, Y. Yogendra, S. Prasad, J. Dhanraj, V. Ramkumar","doi":"10.1109/ACCESS57397.2023.10199650","DOIUrl":"https://doi.org/10.1109/ACCESS57397.2023.10199650","url":null,"abstract":"The irrigation systems in nurseries can be the cause of various water supply errors- ranging from lack of sufficient water supply to over-watering and imbalance in the water pH levels. Based on the statistics recorded by the department of agriculture and farmers welfare, we have conducted we concluded that the water supply management and plant life maintenance are the major problems. Considering all these real-time errors, we have designed a smart irrigation robot functioning on the inputs from a group of soil moisture sensors which helps eliminate the monotonous task of monitoring and keeping records of the change in soil moisture.","PeriodicalId":345351,"journal":{"name":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125464542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-18DOI: 10.1109/ACCESS57397.2023.10201185
Siron Anita Susan, Dr B Nithya, Abdulla Ameen, Sarvesh Rajkumar
Wireless Rechargeable Sensor Nodes (WRSNs) are widely used to sense, collect, and process data or signals transmitted among people, the environment, and computer systems. However, it faces severe threats such as congestion, resource deprivation, security risk, limited communication speed, high cost, limited bandwidth, and so on. To address some of these issues and to improve the QoS, this paper proposes an Adaptive Rate Determined Congestion Management (ARDCM) approach. It adopts a feedback-based system in which the incoming data rate is managed to increase when congestion is low and decrease when congestion is high. It guarantees congestion free data flow between upstream and downstream in data communication by controlling the data rate and buffer occupancy. The proposed approach is simulated on NS2 with varying numbers of active nodes in a simulated environment. The proposed model’s performance is evaluated by comparing the Packet Delivery Ratio(PDR), Packet Loss Ratio(PLR), delay, and throughput to the existing algorithms.
{"title":"Congestion-aware Optimal Data rate Selection for Efficient Routing in Wireless Rechargeable Sensor Network","authors":"Siron Anita Susan, Dr B Nithya, Abdulla Ameen, Sarvesh Rajkumar","doi":"10.1109/ACCESS57397.2023.10201185","DOIUrl":"https://doi.org/10.1109/ACCESS57397.2023.10201185","url":null,"abstract":"Wireless Rechargeable Sensor Nodes (WRSNs) are widely used to sense, collect, and process data or signals transmitted among people, the environment, and computer systems. However, it faces severe threats such as congestion, resource deprivation, security risk, limited communication speed, high cost, limited bandwidth, and so on. To address some of these issues and to improve the QoS, this paper proposes an Adaptive Rate Determined Congestion Management (ARDCM) approach. It adopts a feedback-based system in which the incoming data rate is managed to increase when congestion is low and decrease when congestion is high. It guarantees congestion free data flow between upstream and downstream in data communication by controlling the data rate and buffer occupancy. The proposed approach is simulated on NS2 with varying numbers of active nodes in a simulated environment. The proposed model’s performance is evaluated by comparing the Packet Delivery Ratio(PDR), Packet Loss Ratio(PLR), delay, and throughput to the existing algorithms.","PeriodicalId":345351,"journal":{"name":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","volume":"197 Pt A 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134553797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-18DOI: 10.1109/ACCESS57397.2023.10199392
A. N, Jaimy James Poovely, Abhijith Surendran, Samuel Sabu Thomas
India is a country whose economy is heavily reliant on agriculture. The agriculture sector accounts for a significant portion of the country's overall economy. Plant diseases are particularly important because they can have a negative impact on the quality and quantity of crops. Viruses, bacteria, fungi, and other microorganisms can cause plant diseases. The majority of farmers are completely unaware of such diseases. In India, the tomato crop is a common staple due to its high commercial value and strong production potential. In tomatoes, the three most potent antioxidants are vitamin E, vitamin C, and beta-carotene. The main focus of the proposed article is to create a more accurate and time-efficient automatic method for detecting tomato plant leaf diseases. This work aims to create a system that captures images with a Raspberry Pi camera and classifies them using Convolutional Neural Network. In neural network models, automatic feature extraction is utilized to help classify input photos into appropriate illness categories.
{"title":"Tomato Plant Health Management Using AI","authors":"A. N, Jaimy James Poovely, Abhijith Surendran, Samuel Sabu Thomas","doi":"10.1109/ACCESS57397.2023.10199392","DOIUrl":"https://doi.org/10.1109/ACCESS57397.2023.10199392","url":null,"abstract":"India is a country whose economy is heavily reliant on agriculture. The agriculture sector accounts for a significant portion of the country's overall economy. Plant diseases are particularly important because they can have a negative impact on the quality and quantity of crops. Viruses, bacteria, fungi, and other microorganisms can cause plant diseases. The majority of farmers are completely unaware of such diseases. In India, the tomato crop is a common staple due to its high commercial value and strong production potential. In tomatoes, the three most potent antioxidants are vitamin E, vitamin C, and beta-carotene. The main focus of the proposed article is to create a more accurate and time-efficient automatic method for detecting tomato plant leaf diseases. This work aims to create a system that captures images with a Raspberry Pi camera and classifies them using Convolutional Neural Network. In neural network models, automatic feature extraction is utilized to help classify input photos into appropriate illness categories.","PeriodicalId":345351,"journal":{"name":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","volume":"136 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115906338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-18DOI: 10.1109/ACCESS57397.2023.10200571
Nune Divya, Kanikapuram Haripriya, Kummari Vijay Kumar, Korrapati Lasya, K. G. Sai
In recent years, the demand for smart communications, wireless internet and IoT is rapidly increasing as technology spearheading rapid advances in different areas of communication and in day-to-day life. By automating chores, whether at work or at home, businesses and people can now gain and save more of this valuable resource. To fulfil this prerequisite, the cellular parts should be conservative and equipped for multifunction, multi-frequency band activity. An antenna is one of them. IoT end-devices typically use cable, whip, rubber duck, paddle, chips, and PCB as their antennas. For uses where the antenna must be routed along the device's body, there are variations with dual/multi-band antennas and flexible antenna structures. We can reduce the size of devices by proper design of antenna and it can also comfortable to operate multiple frequencies. From this project we can know the working of multi band rate filter by using H-slot coupled antenna with gap sleeves. The proposed design approach consists of low profile and small dimension.
{"title":"H-slot coupled antenna design for IoT applications","authors":"Nune Divya, Kanikapuram Haripriya, Kummari Vijay Kumar, Korrapati Lasya, K. G. Sai","doi":"10.1109/ACCESS57397.2023.10200571","DOIUrl":"https://doi.org/10.1109/ACCESS57397.2023.10200571","url":null,"abstract":"In recent years, the demand for smart communications, wireless internet and IoT is rapidly increasing as technology spearheading rapid advances in different areas of communication and in day-to-day life. By automating chores, whether at work or at home, businesses and people can now gain and save more of this valuable resource. To fulfil this prerequisite, the cellular parts should be conservative and equipped for multifunction, multi-frequency band activity. An antenna is one of them. IoT end-devices typically use cable, whip, rubber duck, paddle, chips, and PCB as their antennas. For uses where the antenna must be routed along the device's body, there are variations with dual/multi-band antennas and flexible antenna structures. We can reduce the size of devices by proper design of antenna and it can also comfortable to operate multiple frequencies. From this project we can know the working of multi band rate filter by using H-slot coupled antenna with gap sleeves. The proposed design approach consists of low profile and small dimension.","PeriodicalId":345351,"journal":{"name":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122504084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-18DOI: 10.1109/ACCESS57397.2023.10200496
Vamsikiran Mekathoti, N. B., Subasri S, Bhuvana Chandra P
Wireless Body Area Network (WBAN) is a vital application of IoT and EDGE technologies, which enable remote patient monitoring by transmitting real-time health data to a hospital server. WBAN faces congestion as a severe threat due to its delay sensitivity, which leads to the loss of essential data. To address this issue, this paper proposes a Dynamic Datarate Prediction Based on Congestion Severity (DPCS) in Wireless Body Area Networks which categorizes sensor nodes as normal or critical, based on the patient’s health status. The data flow from these sensors is efficiently regulated with the aid of the critical function with four parameters such as buffer size, queue size, remaining energy of the node, and channel bandwidth. With these dynamic run time parameters, the proposed critical function yields four thresholds to predict the congestion severity. The proposed technique predicts an optimal data rate based on the node priority and the severity of the congestion, as opposed to having a constant data rate for all types of sensors. The proposed algorithm is simulated and its performance is compared with the existing algorithms in terms of throughput, packet loss ratio, remaining energy, and packet delivery ratio.
{"title":"Dynamic Data Rate Prediction Based on Congestion Severity in Wireless Body Area Networks","authors":"Vamsikiran Mekathoti, N. B., Subasri S, Bhuvana Chandra P","doi":"10.1109/ACCESS57397.2023.10200496","DOIUrl":"https://doi.org/10.1109/ACCESS57397.2023.10200496","url":null,"abstract":"Wireless Body Area Network (WBAN) is a vital application of IoT and EDGE technologies, which enable remote patient monitoring by transmitting real-time health data to a hospital server. WBAN faces congestion as a severe threat due to its delay sensitivity, which leads to the loss of essential data. To address this issue, this paper proposes a Dynamic Datarate Prediction Based on Congestion Severity (DPCS) in Wireless Body Area Networks which categorizes sensor nodes as normal or critical, based on the patient’s health status. The data flow from these sensors is efficiently regulated with the aid of the critical function with four parameters such as buffer size, queue size, remaining energy of the node, and channel bandwidth. With these dynamic run time parameters, the proposed critical function yields four thresholds to predict the congestion severity. The proposed technique predicts an optimal data rate based on the node priority and the severity of the congestion, as opposed to having a constant data rate for all types of sensors. The proposed algorithm is simulated and its performance is compared with the existing algorithms in terms of throughput, packet loss ratio, remaining energy, and packet delivery ratio.","PeriodicalId":345351,"journal":{"name":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126724787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-18DOI: 10.1109/ACCESS57397.2023.10200938
Sreelakshmi Anilkumar, Jassim Rafeek
Soteria is a blockchain-based authentication mechanism for vehicular ad-hoc networks (VANETs). It aims to enhance the security and efficiency of VANETs by using blockchain technology to authenticate the identity of vehicles and the messages they exchange during handover. The Soteria system is designed to be lightweight and highly efficient, using an authentication factor (AF) instead of traditional certificates to identify authenticated vehicles. This certificateless approach significantly reduces computational costs, increases speed, and decreases storage requirements, leading to improved performance and reliability for VANETs during handover. By combining the benefits of blockchain technology with a certificateless authentication scheme, Soteria has the potential to revolutionize the security and efficiency of VANETs.
{"title":"Soteria: A Blockchain Assisted Lightweight and Efficient Certificateless Handover Authentication Mechanism for VANET","authors":"Sreelakshmi Anilkumar, Jassim Rafeek","doi":"10.1109/ACCESS57397.2023.10200938","DOIUrl":"https://doi.org/10.1109/ACCESS57397.2023.10200938","url":null,"abstract":"Soteria is a blockchain-based authentication mechanism for vehicular ad-hoc networks (VANETs). It aims to enhance the security and efficiency of VANETs by using blockchain technology to authenticate the identity of vehicles and the messages they exchange during handover. The Soteria system is designed to be lightweight and highly efficient, using an authentication factor (AF) instead of traditional certificates to identify authenticated vehicles. This certificateless approach significantly reduces computational costs, increases speed, and decreases storage requirements, leading to improved performance and reliability for VANETs during handover. By combining the benefits of blockchain technology with a certificateless authentication scheme, Soteria has the potential to revolutionize the security and efficiency of VANETs.","PeriodicalId":345351,"journal":{"name":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114064176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-18DOI: 10.1109/ACCESS57397.2023.10200365
Clenitta Joseph M, Bipin P R, Bobby Mathews C
Breast cancer is a type of cancer that begins in the breast cell. The only options to lessen the damage are early discovery and appropriate treatment. People willfully disregard physical problems in their bodies due to ignorance or a lack of detection technology. Deep learning is being used more frequently in the field of medical science, and it is good at a variety of tasks, including segmentation, detection, and classification. This article focus on the breast cancer images classification using VGG-16 and VGG-19. Analyze their models, precision, and a number of other aspects. The accuracy of image classification in VGG-16 and VGG-19 is 91% and 92%, respectively.
{"title":"Breast Cancer Image Classification Using Deep Learning Methods","authors":"Clenitta Joseph M, Bipin P R, Bobby Mathews C","doi":"10.1109/ACCESS57397.2023.10200365","DOIUrl":"https://doi.org/10.1109/ACCESS57397.2023.10200365","url":null,"abstract":"Breast cancer is a type of cancer that begins in the breast cell. The only options to lessen the damage are early discovery and appropriate treatment. People willfully disregard physical problems in their bodies due to ignorance or a lack of detection technology. Deep learning is being used more frequently in the field of medical science, and it is good at a variety of tasks, including segmentation, detection, and classification. This article focus on the breast cancer images classification using VGG-16 and VGG-19. Analyze their models, precision, and a number of other aspects. The accuracy of image classification in VGG-16 and VGG-19 is 91% and 92%, respectively.","PeriodicalId":345351,"journal":{"name":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128012154","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}
This paper intended to assert the designing of the four to one line multiplexer logic using nonlinear switching techniques based on Micro Ring Resonator (MRR) structure for the proposed full-adder circuit. And to get the desire result of full adder, for which ‘A’ as a data line has been considered. By using the MRR based all-optical switching technique the 4 to 1 line multiplexer logic system configuration has been achieved by applying the realization of the 2-to-4-line decoder to make the system more compact and optimized. The 2:4 decoder circuits have been theoretically implemented by cascading two or more MRRs. The using of 4 to 1 multiplexer to implement the full adder circuit adds some additional advantages such as desired bandwidth can be obtained, advanced data processing. The MRR switching activity, which is the proposed circuit design has been explained in detail with mathematical derivations and results have been verified by performing the MATLAB simulation.
{"title":"Design and Implementation of Full Adder using 4 to 1 line Multiplexer Based on Nonlinear Switching Micro Ring Resonator Structure","authors":"S. Mahanty, Ajay Kumar, Ujjwal Sharma, Shalini Kumari, Sujan Adhikary, Kumar Pritam","doi":"10.1109/ACCESS57397.2023.10199758","DOIUrl":"https://doi.org/10.1109/ACCESS57397.2023.10199758","url":null,"abstract":"This paper intended to assert the designing of the four to one line multiplexer logic using nonlinear switching techniques based on Micro Ring Resonator (MRR) structure for the proposed full-adder circuit. And to get the desire result of full adder, for which ‘A’ as a data line has been considered. By using the MRR based all-optical switching technique the 4 to 1 line multiplexer logic system configuration has been achieved by applying the realization of the 2-to-4-line decoder to make the system more compact and optimized. The 2:4 decoder circuits have been theoretically implemented by cascading two or more MRRs. The using of 4 to 1 multiplexer to implement the full adder circuit adds some additional advantages such as desired bandwidth can be obtained, advanced data processing. The MRR switching activity, which is the proposed circuit design has been explained in detail with mathematical derivations and results have been verified by performing the MATLAB simulation.","PeriodicalId":345351,"journal":{"name":"2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127134419","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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