Pub Date : 2022-03-16DOI: 10.1109/ICEARS53579.2022.9752155
H. Zhenhua, Hong Doudou
Aiming at the shortcomings of cumbersome code writing and poor flexibility in traditional system design methods, this paper designs a wireless signal intelligent detection system based on software radio. The modular system design method is adopted to reduce the complexity of the design. Through the test on the high-speed comprehensive detection train, it is verified that the system can monitor the interaction process between the on-board equipment and the GSM-R network base station in real time, and realize the closed-loop monitoring of the vehicle-to-ground data transmission process. The receiving part and analysis part of the system can be connected through the network, and the flexibility of system deployment is increased by 7.3%.
{"title":"Design and Implementation of an Intelligent Monitoring System for Um Interface Based on Software Radio","authors":"H. Zhenhua, Hong Doudou","doi":"10.1109/ICEARS53579.2022.9752155","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752155","url":null,"abstract":"Aiming at the shortcomings of cumbersome code writing and poor flexibility in traditional system design methods, this paper designs a wireless signal intelligent detection system based on software radio. The modular system design method is adopted to reduce the complexity of the design. Through the test on the high-speed comprehensive detection train, it is verified that the system can monitor the interaction process between the on-board equipment and the GSM-R network base station in real time, and realize the closed-loop monitoring of the vehicle-to-ground data transmission process. The receiving part and analysis part of the system can be connected through the network, and the flexibility of system deployment is increased by 7.3%.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126334462","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/ICEARS53579.2022.9752367
Cuddapah Anitha, C. Sivakumar, V. Rajasekar, S. Velliangiri
Wireless sensor networks (WSN) benefit from their ability to deploy many smaller autonomous nodes without an infrastructure. The sensor nodes collect information from the physical world after deployment and according to a given protocol for communication. A strong technique for a wide range of applications of various needs has arisen as WSN is regarded important in all fields. But a few obstacles still remain until a mature technology finally emerges. The energy limitation is one of the major concerns in sensor nodes, where batteries are the primary source of power. A vast majority of work has been carried out in this context in order to provide a wide range of energy efficiency approaches. In this work, we adopt a method to find the effects of parameters contributing to energy consumption in WSNs using an optimal energy modelling. A dynamic tree routing protocol with convex hull optimization is adopted. These techniques are adopted to lower the energy consumption while the packet is carried between the source and destination nodes. The study also maintains the trade-off between other network metrics like network throughput and energy lifetime. These techniques are adopted to lower the energy consumption while the packet is carried between the source and destination nodes. The study also maintains the trade-off between other network metrics like network throughput and energy lifetime.
{"title":"Dynamic Tree Routing Protocol with Convex Hull Optimization for Optimal Routing Paths","authors":"Cuddapah Anitha, C. Sivakumar, V. Rajasekar, S. Velliangiri","doi":"10.1109/ICEARS53579.2022.9752367","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752367","url":null,"abstract":"Wireless sensor networks (WSN) benefit from their ability to deploy many smaller autonomous nodes without an infrastructure. The sensor nodes collect information from the physical world after deployment and according to a given protocol for communication. A strong technique for a wide range of applications of various needs has arisen as WSN is regarded important in all fields. But a few obstacles still remain until a mature technology finally emerges. The energy limitation is one of the major concerns in sensor nodes, where batteries are the primary source of power. A vast majority of work has been carried out in this context in order to provide a wide range of energy efficiency approaches. In this work, we adopt a method to find the effects of parameters contributing to energy consumption in WSNs using an optimal energy modelling. A dynamic tree routing protocol with convex hull optimization is adopted. These techniques are adopted to lower the energy consumption while the packet is carried between the source and destination nodes. The study also maintains the trade-off between other network metrics like network throughput and energy lifetime. These techniques are adopted to lower the energy consumption while the packet is carried between the source and destination nodes. The study also maintains the trade-off between other network metrics like network throughput and energy lifetime.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126785329","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}
Now a days bird population is changing drastically because lots of reasons such as human intervention, climate change, global warming, forest fires or deforestation, etc., With the help of automatic bird species detection using machine learning algorithms, it is now possible to keep a watch on the population of birds as well as their behavior. Because manual identification of different bird species takes a lot of time and effort, an automatic bird identification system that does not require physical intervention is developed in this work. To achieve this objective, Convolutional Neural Network is used as compared to traditionally used classifiers such as SVM, Random Forest, SMACPY. The foremost goal is to identify the bird species using the dataset including vocals of the different birds. The input dataset will be pre-processed, which will comprise framing, silence removal, reconstruction, and then a spectrogram will be constructed, which will be sent to a convolutional neural network as an input, followed by CNN modification, testing, and classification. The result is compared with pre-trained data and output is generated and birds are classified according to their features (size, colour, species, etc.)
如今，由于人类干预、气候变化、全球变暖、森林火灾或森林砍伐等原因，鸟类数量正在发生巨大变化。借助机器学习算法的鸟类物种自动检测，现在可以监视鸟类的数量以及它们的行为。由于人工识别不同鸟类需要大量的时间和精力，本工作开发了一种不需要物理干预的鸟类自动识别系统。为了实现这一目标，与传统使用的分类器(如SVM, Random Forest, SMACPY)相比，使用卷积神经网络。最重要的目标是使用包含不同鸟类声音的数据集来识别鸟类。输入数据集将进行预处理，包括分帧、去除沉默、重建，然后构建频谱图，将其发送到卷积神经网络作为输入，然后进行CNN修改、测试和分类。将结果与预先训练的数据进行比较，生成输出，并根据鸟类的特征(大小、颜色、物种等)进行分类。
{"title":"Automated Bird Species Identification using Audio Signal Processing and Neural Network","authors":"Samruddhi Bhor, Rutuja Ganage, Omkar Domb, Hrushikesh Pathade, Shilpa P. Khedkar","doi":"10.1109/ICEARS53579.2022.9752136","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752136","url":null,"abstract":"Now a days bird population is changing drastically because lots of reasons such as human intervention, climate change, global warming, forest fires or deforestation, etc., With the help of automatic bird species detection using machine learning algorithms, it is now possible to keep a watch on the population of birds as well as their behavior. Because manual identification of different bird species takes a lot of time and effort, an automatic bird identification system that does not require physical intervention is developed in this work. To achieve this objective, Convolutional Neural Network is used as compared to traditionally used classifiers such as SVM, Random Forest, SMACPY. The foremost goal is to identify the bird species using the dataset including vocals of the different birds. The input dataset will be pre-processed, which will comprise framing, silence removal, reconstruction, and then a spectrogram will be constructed, which will be sent to a convolutional neural network as an input, followed by CNN modification, testing, and classification. The result is compared with pre-trained data and output is generated and birds are classified according to their features (size, colour, species, etc.)","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127001186","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/ICEARS53579.2022.9752241
M. Ramprasath, K. Dhanasekaran, T. Karthick, R. Velumani, P. Sudhakaran
In recent years, Pretraining Language Models based on Transformers -Natural Language Processing (PLMT-NLP) have been highly successful in nearly every NLP task. In the beginning, Generative Pre-trained model-based Transformer, BERT- Bidirectional Encoder model Representations using Transformers was used to develop these models. Models constructed on transformers, Self-supervise knowledge acquiring, and transfer learning establish the foundation of these designs. Transformed-based pre-trained models acquire common linguistic illustrations from vast amounts of textual information through self-supervised model and apply this information to downstream tasks. To eliminate the need to retrain downstream models, these models provide a solid foundation of knowledge. In this paper, the enhanced learning on PLMT-NLP has been discussed. Initially, a quick introduction to self-supervised learning is presented, then diverse core concepts used in PLMT-NLP are explained. Furthermore, a list of relevant libraries for working with PLMT-NLP has been provided. Lastly, the paper discusses about the upcoming research directions that will further improve these models. Because of its thoroughness and relevance to current PLMT-NLP developments, this survey study will positively serve as a valuable resource for those seeking to understand both basic ideas and new developments better.
{"title":"An Extensive Study on Pretrained Models for Natural Language Processing Based on Transformers","authors":"M. Ramprasath, K. Dhanasekaran, T. Karthick, R. Velumani, P. Sudhakaran","doi":"10.1109/ICEARS53579.2022.9752241","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752241","url":null,"abstract":"In recent years, Pretraining Language Models based on Transformers -Natural Language Processing (PLMT-NLP) have been highly successful in nearly every NLP task. In the beginning, Generative Pre-trained model-based Transformer, BERT- Bidirectional Encoder model Representations using Transformers was used to develop these models. Models constructed on transformers, Self-supervise knowledge acquiring, and transfer learning establish the foundation of these designs. Transformed-based pre-trained models acquire common linguistic illustrations from vast amounts of textual information through self-supervised model and apply this information to downstream tasks. To eliminate the need to retrain downstream models, these models provide a solid foundation of knowledge. In this paper, the enhanced learning on PLMT-NLP has been discussed. Initially, a quick introduction to self-supervised learning is presented, then diverse core concepts used in PLMT-NLP are explained. Furthermore, a list of relevant libraries for working with PLMT-NLP has been provided. Lastly, the paper discusses about the upcoming research directions that will further improve these models. Because of its thoroughness and relevance to current PLMT-NLP developments, this survey study will positively serve as a valuable resource for those seeking to understand both basic ideas and new developments better.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126430109","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/ICEARS53579.2022.9752269
J. Swarup Kumar, D. Indira, K. Srinivas, M. N. Satish Kumar
Every person's primary source of nutrition comes from milk. Adulterants should not be found in milk that is of high quality. In most cases, local shopkeepers and supermarket shops alike sell milk. Nevertheless, the local milk merchants utilise a slew of adulterants in their product, changing the composition of milk forever. The usage of degraded milk can lead to major health problems. The milk must therefore be tested for the presence of necessary parameters and any adulterants that have been added to it in order to ensure the quality of the milk. Here, sensors are employed to estimate several factors, such as pH, turbidity and colour. Similarly, the milk sector should be able to transmit the administration continuous data on milk quality during the production of milk bundles using the Neural Network model to help combat illegal items like poor milk quality.
{"title":"Quality Assessment and Grading of Milk using Sensors and Neural Networks","authors":"J. Swarup Kumar, D. Indira, K. Srinivas, M. N. Satish Kumar","doi":"10.1109/ICEARS53579.2022.9752269","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752269","url":null,"abstract":"Every person's primary source of nutrition comes from milk. Adulterants should not be found in milk that is of high quality. In most cases, local shopkeepers and supermarket shops alike sell milk. Nevertheless, the local milk merchants utilise a slew of adulterants in their product, changing the composition of milk forever. The usage of degraded milk can lead to major health problems. The milk must therefore be tested for the presence of necessary parameters and any adulterants that have been added to it in order to ensure the quality of the milk. Here, sensors are employed to estimate several factors, such as pH, turbidity and colour. Similarly, the milk sector should be able to transmit the administration continuous data on milk quality during the production of milk bundles using the Neural Network model to help combat illegal items like poor milk quality.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"65 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114045157","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/ICEARS53579.2022.9752399
Vaishali. B Niranjane, Utkarsha Shelke, Saili Shirke, Srushti Dafe
The Objective of this research is to Design and build a IoT Base Digital Production Counting system. It decreases the likelihood of counting errors and improve counting accuracy, which is used in big enterprises since it outperforms human techniques. Production manufacturing and counting can be a time-consuming process that includes quality control, large-scale analysis, and quantity measurement. The classification especially supports the quantity factor, or production rate which is accomplished by human resource present in industry with having either a max or min rate of production but keeping the exact count throughout the manufacturing process is still impossible. The quantity outcome is an important factor in steadfast the industry's economic growth and financial health. As IoT is quickly growing as the next phase of the Internet's development, it's becoming more necessary than ever to understand the several prospective domains for IoT operations. Since the previous few decades, technology has played an increasingly important role in our daily lives. As IOT is developed, industries can increase productivity and data collection efficiency. In order to improve production demographics this project aims to count the multiple products which are counted by IR sensor using IR interruption concept and Microcontroller is used here to keep track of a huge number of items and display on a LCD display as well as upload the data on web via Node MCU (IOT Module)
{"title":"IoT based Digital Production Counting System","authors":"Vaishali. B Niranjane, Utkarsha Shelke, Saili Shirke, Srushti Dafe","doi":"10.1109/ICEARS53579.2022.9752399","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752399","url":null,"abstract":"The Objective of this research is to Design and build a IoT Base Digital Production Counting system. It decreases the likelihood of counting errors and improve counting accuracy, which is used in big enterprises since it outperforms human techniques. Production manufacturing and counting can be a time-consuming process that includes quality control, large-scale analysis, and quantity measurement. The classification especially supports the quantity factor, or production rate which is accomplished by human resource present in industry with having either a max or min rate of production but keeping the exact count throughout the manufacturing process is still impossible. The quantity outcome is an important factor in steadfast the industry's economic growth and financial health. As IoT is quickly growing as the next phase of the Internet's development, it's becoming more necessary than ever to understand the several prospective domains for IoT operations. Since the previous few decades, technology has played an increasingly important role in our daily lives. As IOT is developed, industries can increase productivity and data collection efficiency. In order to improve production demographics this project aims to count the multiple products which are counted by IR sensor using IR interruption concept and Microcontroller is used here to keep track of a huge number of items and display on a LCD display as well as upload the data on web via Node MCU (IOT Module)","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126085598","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/ICEARS53579.2022.9752383
P. Aylapogu, R. V. P. Bhookya, D. Venkatachari, K. B
In this article, an energy efficient and low delay architecture for voltage level shifter with the help of dual current mirror approach has been discussed. Voltage shifter is competent of changing the voltage level from one value to another value. The pivotal principle of the shifter is to connect the different blocks in the circuit. Moreover voltage level shifter is preferable in System on Chip. The suggested design is to transfer 50mV to 1V level at a faster rate and significantly less usage power. It was created using the Wilson current mirror technology with less number of transistors. The suggested design is realized on 45-nm Technology using cadence tool. This circuit is having propagation latency of 0.959ns and power dissipation of 106.6nW. It is assured that the obtained simulations results are better than the existed results in terms of power and delay.
{"title":"Dual Current Mirror Technique Based Energy Efficient 50mV to 1V Voltage Level Shifter","authors":"P. Aylapogu, R. V. P. Bhookya, D. Venkatachari, K. B","doi":"10.1109/ICEARS53579.2022.9752383","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752383","url":null,"abstract":"In this article, an energy efficient and low delay architecture for voltage level shifter with the help of dual current mirror approach has been discussed. Voltage shifter is competent of changing the voltage level from one value to another value. The pivotal principle of the shifter is to connect the different blocks in the circuit. Moreover voltage level shifter is preferable in System on Chip. The suggested design is to transfer 50mV to 1V level at a faster rate and significantly less usage power. It was created using the Wilson current mirror technology with less number of transistors. The suggested design is realized on 45-nm Technology using cadence tool. This circuit is having propagation latency of 0.959ns and power dissipation of 106.6nW. It is assured that the obtained simulations results are better than the existed results in terms of power and delay.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122971753","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/ICEARS53579.2022.9751968
A.B. Bornare, S. Naikwadi, D. Pardeshi, P. William
An arc fault in switchgear is a catastrophic failure with tremendous ramifications and a considerable danger of damage to anybody who comes into contact with the arc fault. As a result, switchgear makers are always looking for ways to mitigate this danger potential. The methods utilized in industrial practice may be classified into two broad categories: Protection may be both active and passive. Efforts are made via active protection to eliminate the probability of an arc fault occurring. Passive protection reduces the severity of the consequences of an arc fault that has already occurred. Both essential approaches, on the other hand, have their own set of drawbacks. A protection approach that recognizes the likelihood of an arc fault but reacts prior to the development of a high-current, destruction-intensive arc fault would be advantageous for both safety and economic reasons. Preventing the arc faults before they occur is the objective of our work.
{"title":"Preventive Measures to Secure Arc Fault using Active and Passive Protection","authors":"A.B. Bornare, S. Naikwadi, D. Pardeshi, P. William","doi":"10.1109/ICEARS53579.2022.9751968","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9751968","url":null,"abstract":"An arc fault in switchgear is a catastrophic failure with tremendous ramifications and a considerable danger of damage to anybody who comes into contact with the arc fault. As a result, switchgear makers are always looking for ways to mitigate this danger potential. The methods utilized in industrial practice may be classified into two broad categories: Protection may be both active and passive. Efforts are made via active protection to eliminate the probability of an arc fault occurring. Passive protection reduces the severity of the consequences of an arc fault that has already occurred. Both essential approaches, on the other hand, have their own set of drawbacks. A protection approach that recognizes the likelihood of an arc fault but reacts prior to the development of a high-current, destruction-intensive arc fault would be advantageous for both safety and economic reasons. Preventing the arc faults before they occur is the objective of our work.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127824197","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/ICEARS53579.2022.9752215
Helen Josephine V L, Dhivya Rajan, K. Rajalakshmi
WSN (Wireless Sensor Network) is a unique variety of temporary type of Local area networks that are highly distributed self-organized systems. There is a detailed collection of various sensor nodes which are vastly deployed throughout the environment. Sensor node is a very small electronic device that is attached to a sensor network. They have an uncomplicated working mechanism that collects the data from any physical movement of an event that occurs or event query that is time driven. The notable feature of the sensor network is data gathering. Each sensory node can gather data, analyse that information and make that information to move to the location that is a destination. Routing algorithms play a vital role in making routing decision that delivers the packet to the exact point through optimal route. Since there is an energy restriction in WSNs, the energy related economisation becomes the most avoidable objective of various routing protocols. routing protocols of various sensor networks is reviewed and presented in this paper which provides a clear classification of various categories and comparison of the various methods.
{"title":"A Review Paper on Various Energy Saving Techniques in WSN","authors":"Helen Josephine V L, Dhivya Rajan, K. Rajalakshmi","doi":"10.1109/ICEARS53579.2022.9752215","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752215","url":null,"abstract":"WSN (Wireless Sensor Network) is a unique variety of temporary type of Local area networks that are highly distributed self-organized systems. There is a detailed collection of various sensor nodes which are vastly deployed throughout the environment. Sensor node is a very small electronic device that is attached to a sensor network. They have an uncomplicated working mechanism that collects the data from any physical movement of an event that occurs or event query that is time driven. The notable feature of the sensor network is data gathering. Each sensory node can gather data, analyse that information and make that information to move to the location that is a destination. Routing algorithms play a vital role in making routing decision that delivers the packet to the exact point through optimal route. Since there is an energy restriction in WSNs, the energy related economisation becomes the most avoidable objective of various routing protocols. routing protocols of various sensor networks is reviewed and presented in this paper which provides a clear classification of various categories and comparison of the various methods.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122875005","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}
According to WHO, brain stroke seems to be the second most common cause overall, accounting for about eleven percent of all mortality. Data security and privacy are in great demand in the healthcare industry. Data is now kept in a centralized manner in present systems, with all data being stored in a single area. In such systems, there is a high possibility for an intruder or third party to access and change the data. In Healthcare, as the data is the most crucial factor, so if there are any small changes made by the intruder in the data, it may lead to provide false outcome. In this proposed system, the data are secured in a decentralized approach using IPFS (InterPlanetary File System) protocol and Block chain. The risk of data failures and outages can be reduced while improving security, performance, and privacy using this strategy. The required data will be collected from the IPFS network by using the hash value and it will be trained with the ANN (Artificial Neural Network) algorithm to get the final model.
{"title":"Securing Healthcare Data using Decentralized Approach","authors":"Dodla Navya Shree, Dodda Venkata Lohitha Krishna, Rizwan Patan","doi":"10.1109/ICEARS53579.2022.9752114","DOIUrl":"https://doi.org/10.1109/ICEARS53579.2022.9752114","url":null,"abstract":"According to WHO, brain stroke seems to be the second most common cause overall, accounting for about eleven percent of all mortality. Data security and privacy are in great demand in the healthcare industry. Data is now kept in a centralized manner in present systems, with all data being stored in a single area. In such systems, there is a high possibility for an intruder or third party to access and change the data. In Healthcare, as the data is the most crucial factor, so if there are any small changes made by the intruder in the data, it may lead to provide false outcome. In this proposed system, the data are secured in a decentralized approach using IPFS (InterPlanetary File System) protocol and Block chain. The risk of data failures and outages can be reduced while improving security, performance, and privacy using this strategy. The required data will be collected from the IPFS network by using the hash value and it will be trained with the ANN (Artificial Neural Network) algorithm to get the final model.","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124074549","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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