Pub Date : 2023-07-19DOI: 10.1109/ICECAA58104.2023.10212367
D. Yogapriya, M. Uma
Agarwood is a fragrant darkish resinous wood fashioned whilst Aquilaria trees are inflamed with a positive form of mould and appear like wooden defects. The maximum precious non-wood product has been traded in global markets because of its one-of-a-kind aroma and may be processed into incense and perfumes. Agarwood grade is decided via numerous characteristics, such as black colour intensity, scent, texture, and weight thru visual inspection. However, this can lead to numerous issues such as fake grading outcomes. Historically, the carving procedure of separation of the uninfected Aquilaria wood that lacks the dark resinous was carried out with the aid of the usage of easy tools like a knife and chisel. Therefore, a professional employee is required to complete the venture. In this paper, the Convolutional Neural network (CNN) technique is used to classify Agarwood primarily based on the functions extraction from Gabor filter out and percent of black shade estimation. At the start, the pies of seven companies of wooden defects or knots are recognized: dry, decayed, aspect, encased, horn, leaf, and sound disorder with a total pattern of 410 knots. Then, these images of knots are matched into 3-grade groups of Agarwood. Next, the experimental consequences display that the Agarwood may be categorized into 3-grade organizations based on the knot and black intensity. A fixed of decided pictures of knots were used as hint patterns and carved on portions of timber blocks via the usage of a Computer Numerical Control (CNC) machine in which the total time taken for every carving technique was calculated. For each photograph, two Gabor filter-out features and a percent of black colour were used as inputs. In the end, the total accuracy of the experiments is 98% and the total carving time is accelerated with the CNN erased of grade organization quantity.
{"title":"Agarwood Grade Estimation Procedure using Cnn and Sculpture Automation","authors":"D. Yogapriya, M. Uma","doi":"10.1109/ICECAA58104.2023.10212367","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212367","url":null,"abstract":"Agarwood is a fragrant darkish resinous wood fashioned whilst Aquilaria trees are inflamed with a positive form of mould and appear like wooden defects. The maximum precious non-wood product has been traded in global markets because of its one-of-a-kind aroma and may be processed into incense and perfumes. Agarwood grade is decided via numerous characteristics, such as black colour intensity, scent, texture, and weight thru visual inspection. However, this can lead to numerous issues such as fake grading outcomes. Historically, the carving procedure of separation of the uninfected Aquilaria wood that lacks the dark resinous was carried out with the aid of the usage of easy tools like a knife and chisel. Therefore, a professional employee is required to complete the venture. In this paper, the Convolutional Neural network (CNN) technique is used to classify Agarwood primarily based on the functions extraction from Gabor filter out and percent of black shade estimation. At the start, the pies of seven companies of wooden defects or knots are recognized: dry, decayed, aspect, encased, horn, leaf, and sound disorder with a total pattern of 410 knots. Then, these images of knots are matched into 3-grade groups of Agarwood. Next, the experimental consequences display that the Agarwood may be categorized into 3-grade organizations based on the knot and black intensity. A fixed of decided pictures of knots were used as hint patterns and carved on portions of timber blocks via the usage of a Computer Numerical Control (CNC) machine in which the total time taken for every carving technique was calculated. For each photograph, two Gabor filter-out features and a percent of black colour were used as inputs. In the end, the total accuracy of the experiments is 98% and the total carving time is accelerated with the CNN erased of grade organization quantity.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116237982","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 : 2023-07-19DOI: 10.1109/ICECAA58104.2023.10212149
Ravinder Kumar, K. Sharma, R. Pandey
Low values of noise and power along with high values of common mode rejection ratio (CMRR) are desired for Operational Transconductance Amplifier (OTA) for enhancing the performance of the handheld electronic healthcare systems. However, achieving low-noise operation with high CMRR and low-power dissipation (Pdiss) is a complex task with conventional design techniques. In this work, low-noise complementary cascode partial positive feedback OTA functioning at ±0.5 V is presented which is implemented in technology node of $0.18 mumathrm{m}$. The presented OTA has gain of 76.16 dB, gain bandwidth product of 57 kHz, noise of $0.1 mumathrm{V}/surd{text{Hz}}$ at 1 kHz, Pdiss of 718 nW CMRR of 104.64 dB. Health care, medical and biological electronic systems are expected to be benefitted with presented low-noise OTA.
{"title":"Low-power Complementary Cascode Partial Positive Feedback Operational Transconductance Amplifier","authors":"Ravinder Kumar, K. Sharma, R. Pandey","doi":"10.1109/ICECAA58104.2023.10212149","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212149","url":null,"abstract":"Low values of noise and power along with high values of common mode rejection ratio (CMRR) are desired for Operational Transconductance Amplifier (OTA) for enhancing the performance of the handheld electronic healthcare systems. However, achieving low-noise operation with high CMRR and low-power dissipation (Pdiss) is a complex task with conventional design techniques. In this work, low-noise complementary cascode partial positive feedback OTA functioning at ±0.5 V is presented which is implemented in technology node of $0.18 mumathrm{m}$. The presented OTA has gain of 76.16 dB, gain bandwidth product of 57 kHz, noise of $0.1 mumathrm{V}/surd{text{Hz}}$ at 1 kHz, Pdiss of 718 nW CMRR of 104.64 dB. Health care, medical and biological electronic systems are expected to be benefitted with presented low-noise OTA.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115118500","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 : 2023-07-19DOI: 10.1109/ICECAA58104.2023.10212362
Anuj Mangal, Anuj Kumar
Twitter has become a popular platform for people to share their thoughts and opinions with the world. It allows users to post openly on any topic, giving them the freedom to express themselves without fear of judgment or censorship including those relevant to throat cancer. Twitter sentiment analysis is an important tool for understanding the relative sentiment of the public for certain topics or ideas present on the platform. By using Natural Language Processing (NLP) techniques on millions of tweets, Sentiment Analysis determines how likely each tweet falls into a pre-defined positive or negative classification. The tweets will be classified into three categories using the Lexicon, CNN, LSTM, and CNN-LSTM: positive, neutral, and negative. This study examined the use of text tweets from Twitter as a source of data. Curated tweets from public accounts were utilized and a total of 30002 tweets were collected. The study suggests that the use of Lexicon, CNN, LSTM, and CNN-LSTM approaches can enhance accuracy when conducting a classification task. Through this process, 82% accuracy has been obtained with 24000 positive tweets and 6000 negative tweets.
{"title":"Deep Learning based Opinion Mining on Throat Cancer Social Media Posts","authors":"Anuj Mangal, Anuj Kumar","doi":"10.1109/ICECAA58104.2023.10212362","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212362","url":null,"abstract":"Twitter has become a popular platform for people to share their thoughts and opinions with the world. It allows users to post openly on any topic, giving them the freedom to express themselves without fear of judgment or censorship including those relevant to throat cancer. Twitter sentiment analysis is an important tool for understanding the relative sentiment of the public for certain topics or ideas present on the platform. By using Natural Language Processing (NLP) techniques on millions of tweets, Sentiment Analysis determines how likely each tweet falls into a pre-defined positive or negative classification. The tweets will be classified into three categories using the Lexicon, CNN, LSTM, and CNN-LSTM: positive, neutral, and negative. This study examined the use of text tweets from Twitter as a source of data. Curated tweets from public accounts were utilized and a total of 30002 tweets were collected. The study suggests that the use of Lexicon, CNN, LSTM, and CNN-LSTM approaches can enhance accuracy when conducting a classification task. Through this process, 82% accuracy has been obtained with 24000 positive tweets and 6000 negative tweets.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"549 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123135396","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 : 2023-07-19DOI: 10.1109/ICECAA58104.2023.10212244
G. Sivapriya, P. Gowri, Govarthanan S, Hareeshkumar K S, Buvana S S
Some of the lung diseases that affect respiratory and pulmonary functions includes atelectasis, pulmonary infiltrate, pneumonia and pneumothorax. The proposed system is a novel classification method of the lung diseases atelectasis, pulmonary infiltrate, pneumonia, pneumothorax and healthy lungs from X-ray images using SNN. Spiking Neural Network is a type of ANN (Artificial Neural Network) in which information processing in neural nodes and communication between neurons is based on the exchange of spikes. Here, at the initial stage, data augmentation is used for increasing the number of datasets. Then in the preprocessing stage, first the images are filtered using a bilateral filter. Next the enhancement technique called Contrast Limited Adaptive Histogram Equalizer (CLAHE) is used to avoid excessive noise enhancement and minimizes edge shadowing effect. Then the images are reshaped to their respective size. After the preprocessing stage, the resized images are then fed into the Spiking Neural Network (SNN) architecture for extracting the features from the images. Then, the generated features or vectors go through XGBoost and Random forest classifiers for classification purposes. The proposed method has an accuracy of 98%.
{"title":"Diagnostic Classification of Lung Disease with Chest X-Ray Images Using SNN","authors":"G. Sivapriya, P. Gowri, Govarthanan S, Hareeshkumar K S, Buvana S S","doi":"10.1109/ICECAA58104.2023.10212244","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212244","url":null,"abstract":"Some of the lung diseases that affect respiratory and pulmonary functions includes atelectasis, pulmonary infiltrate, pneumonia and pneumothorax. The proposed system is a novel classification method of the lung diseases atelectasis, pulmonary infiltrate, pneumonia, pneumothorax and healthy lungs from X-ray images using SNN. Spiking Neural Network is a type of ANN (Artificial Neural Network) in which information processing in neural nodes and communication between neurons is based on the exchange of spikes. Here, at the initial stage, data augmentation is used for increasing the number of datasets. Then in the preprocessing stage, first the images are filtered using a bilateral filter. Next the enhancement technique called Contrast Limited Adaptive Histogram Equalizer (CLAHE) is used to avoid excessive noise enhancement and minimizes edge shadowing effect. Then the images are reshaped to their respective size. After the preprocessing stage, the resized images are then fed into the Spiking Neural Network (SNN) architecture for extracting the features from the images. Then, the generated features or vectors go through XGBoost and Random forest classifiers for classification purposes. The proposed method has an accuracy of 98%.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123176558","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 : 2023-07-19DOI: 10.1109/ICECAA58104.2023.10212166
N. P, M. V, C. Rupesh, B. Kartheek, Y. Lekhya, K. Swetha
This study suggests a wearable gadget with an autonomous fall detector that can lower risks by identifying falls and notifying care takers right away. This research study combines a heart-rate sensor and an accelerometer to create a user-adaptive fall detection system based on cluster analysis. The suggested fall detector seeks to achieve high accuracy using a simple model under a variety of circumstances. Additionally, this research study tests the efficiency of the cluster-analysis-based anomaly identification as well as the performance improvement of combining a heart rate sensor and an accelerometer. This study also demonstrates the utility of the user-adaptive approach when using both acceleration and heart rate inputs. The system will alert the carer through GSM if the user's orientation data values become aberrant in any way. The system design takes into account a straightforward, inexpensive, and power-efficient design.
{"title":"A Robust Recession Detective Analysis System using IoT Smart Sensor Devices","authors":"N. P, M. V, C. Rupesh, B. Kartheek, Y. Lekhya, K. Swetha","doi":"10.1109/ICECAA58104.2023.10212166","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212166","url":null,"abstract":"This study suggests a wearable gadget with an autonomous fall detector that can lower risks by identifying falls and notifying care takers right away. This research study combines a heart-rate sensor and an accelerometer to create a user-adaptive fall detection system based on cluster analysis. The suggested fall detector seeks to achieve high accuracy using a simple model under a variety of circumstances. Additionally, this research study tests the efficiency of the cluster-analysis-based anomaly identification as well as the performance improvement of combining a heart rate sensor and an accelerometer. This study also demonstrates the utility of the user-adaptive approach when using both acceleration and heart rate inputs. The system will alert the carer through GSM if the user's orientation data values become aberrant in any way. The system design takes into account a straightforward, inexpensive, and power-efficient design.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123393057","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}
In many WSN applications, such as environmental monitoring and surveillance, the drain node may be a mobile vehicle or a moving robot that moves around the network to collect data from the sensors. In this context, Drain Announcements Based Routing (DABR) and Mobile-drain Routing (MDR) are two efficient routing protocols that can address the challenges of routing in such networks. Both DABR and MDR have been evaluated in various scenarios and have shown promising results in terms of energy efficiency and packet delivery ratio. These protocols can be further optimized for specific WSN applications and network configurations. In conclusion, efficient routing in WSNs with static and moving drains is an active area of research, and protocols such as DABR and MDR can significantly improve the performance of such networks. This section presents the performance evaluation of the proposed DABR and MRLG protocols using the IEEE 802.15.4 technology under different conditions.
{"title":"Performance evaluation of the proposed DABR and MRLG protocols using the IEEE 802.15.4","authors":"Chitra Kiran.N, Pratik Gite, Bhuvaneswari Balachander, Devashree S. Marotkar, Naitik St, Vikas Tripathi","doi":"10.1109/ICECAA58104.2023.10212361","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212361","url":null,"abstract":"In many WSN applications, such as environmental monitoring and surveillance, the drain node may be a mobile vehicle or a moving robot that moves around the network to collect data from the sensors. In this context, Drain Announcements Based Routing (DABR) and Mobile-drain Routing (MDR) are two efficient routing protocols that can address the challenges of routing in such networks. Both DABR and MDR have been evaluated in various scenarios and have shown promising results in terms of energy efficiency and packet delivery ratio. These protocols can be further optimized for specific WSN applications and network configurations. In conclusion, efficient routing in WSNs with static and moving drains is an active area of research, and protocols such as DABR and MDR can significantly improve the performance of such networks. This section presents the performance evaluation of the proposed DABR and MRLG protocols using the IEEE 802.15.4 technology under different conditions.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122997899","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 : 2023-07-19DOI: 10.1109/ICECAA58104.2023.10212162
D. Bhimrao, Digvijay B. Kanase, Dr. H.T. Jadhav
This research work provides a detailed study of power quality issues in a three-phase four-wire system caused by nonlinear load penetration at the distribution side. Non-conventional sources, primarily photovoltaic cell, is directly connected to the Static synchronous compensator (DSTATCOM) at the side of the DC-link capacitor to maintain the constant voltage required by the Voltage source converter, i.e. DSTATCOM, which improves overall power quality issues within the distribution system. Unbalanced loads, a high reactive power burden, and poor voltage control are common issues of three-phase three-wire and three-phase four-wire systems. But the most significant issue in the three-phase system's four-wire distribution system is neutral current. The effectiveness of DSTATCOM over other custom power devices for improving power quality is determined by the use of control algorithms. A control algorithm suitable for a static synchronous compensator for determining power quality is developed. The analysis is carried out using the synchronous reference frame (SRF) method. Nowadays, Renewable Energy (RE) based power quality enhancement approaches are of considerable interest to many researchers; this work describes a comprehensive evaluation of a Distribution Static Compensator operated with a solar photovoltaic system. This research addresses the photovoltaic fed three-leg static synchronous compensator (PV DSTATCOM) for enhancing power quality.
{"title":"PV Operated DSTATCOM for Power Quality Enhancement for the Three Phase Four Wire Distribution System","authors":"D. Bhimrao, Digvijay B. Kanase, Dr. H.T. Jadhav","doi":"10.1109/ICECAA58104.2023.10212162","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212162","url":null,"abstract":"This research work provides a detailed study of power quality issues in a three-phase four-wire system caused by nonlinear load penetration at the distribution side. Non-conventional sources, primarily photovoltaic cell, is directly connected to the Static synchronous compensator (DSTATCOM) at the side of the DC-link capacitor to maintain the constant voltage required by the Voltage source converter, i.e. DSTATCOM, which improves overall power quality issues within the distribution system. Unbalanced loads, a high reactive power burden, and poor voltage control are common issues of three-phase three-wire and three-phase four-wire systems. But the most significant issue in the three-phase system's four-wire distribution system is neutral current. The effectiveness of DSTATCOM over other custom power devices for improving power quality is determined by the use of control algorithms. A control algorithm suitable for a static synchronous compensator for determining power quality is developed. The analysis is carried out using the synchronous reference frame (SRF) method. Nowadays, Renewable Energy (RE) based power quality enhancement approaches are of considerable interest to many researchers; this work describes a comprehensive evaluation of a Distribution Static Compensator operated with a solar photovoltaic system. This research addresses the photovoltaic fed three-leg static synchronous compensator (PV DSTATCOM) for enhancing power quality.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122037994","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 : 2023-07-19DOI: 10.1109/ICECAA58104.2023.10212417
Muchai Jemimah, M. Kuruvilla, Masato Gunji, P. Prasad, Dr. G. Jaspher, Associate W Kathrine, Mr S. Kirubakaran, Mercedes Evangelina
The implementation of Industry 4.0 will assist the healthcare sector in building reliable and sustainable supply chains. This research discusses about how the current technologies can lead to improve the existing supply chain management systems and how the drugs- one of the main component circulated in the supply chain be safeguarded from being replaced by counterfeits. As a result, this research study proposes a centralized system, which includes gathering and sending purchase orders, tracking the transportation of drugs, implementing a programme for drug exchanges in collaboration with numerous hospitals, and using AI models for demand forecasting to guard against shortage or oversupply conditions. To prevent an inflow of counterfeit supplies, blockchain technology is used to monitor pharmaceuticals and other medical products. To monitor the state of pharmaceutical products in storage facilities or warehouses, IIoT is employed. This improvement guarantees improved healthcare facilities and more transparency in the procurement procedures.
{"title":"Implementation of Industry 4.0 in Supply Chain Management in the Healthcare Industry","authors":"Muchai Jemimah, M. Kuruvilla, Masato Gunji, P. Prasad, Dr. G. Jaspher, Associate W Kathrine, Mr S. Kirubakaran, Mercedes Evangelina","doi":"10.1109/ICECAA58104.2023.10212417","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212417","url":null,"abstract":"The implementation of Industry 4.0 will assist the healthcare sector in building reliable and sustainable supply chains. This research discusses about how the current technologies can lead to improve the existing supply chain management systems and how the drugs- one of the main component circulated in the supply chain be safeguarded from being replaced by counterfeits. As a result, this research study proposes a centralized system, which includes gathering and sending purchase orders, tracking the transportation of drugs, implementing a programme for drug exchanges in collaboration with numerous hospitals, and using AI models for demand forecasting to guard against shortage or oversupply conditions. To prevent an inflow of counterfeit supplies, blockchain technology is used to monitor pharmaceuticals and other medical products. To monitor the state of pharmaceutical products in storage facilities or warehouses, IIoT is employed. This improvement guarantees improved healthcare facilities and more transparency in the procurement procedures.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124197893","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 : 2023-07-19DOI: 10.1109/ICECAA58104.2023.10212400
B. Kannan, P. Solainayagi, H. Azath, Subbiah Murugan, C. Srinivasan
Real-time monitoring and analysis of data from various sources have been made possible due to the growth of Internet of Things (IoT)-enabled embedded systems in military applications. This has allowed improved situational awareness and the identification of potential threats. However, it is essential that the communication between these systems to be protected against illegal access and intervention to maintain their integrity. This research study investigates whether or not it is possible to have encrypted communication in embedded systems that make use of the IoT for military purposes. It gives an overview of the many security protocols and algorithms that may be used to secure communication, along with the problems and constraints that such protocols and algorithms provide. Case studies and examples of how secure transmission has been deployed in real-world military applications are covered along with the lessons learned and best practices for moving forward with the technology's development. This article emphasizes the significance of encrypted communication in military applications and its role in protecting the safety and security of soldiers and equipment.
{"title":"Secure Communication in IoT-enabled Embedded Systems for Military Applications using Encryption","authors":"B. Kannan, P. Solainayagi, H. Azath, Subbiah Murugan, C. Srinivasan","doi":"10.1109/ICECAA58104.2023.10212400","DOIUrl":"https://doi.org/10.1109/ICECAA58104.2023.10212400","url":null,"abstract":"Real-time monitoring and analysis of data from various sources have been made possible due to the growth of Internet of Things (IoT)-enabled embedded systems in military applications. This has allowed improved situational awareness and the identification of potential threats. However, it is essential that the communication between these systems to be protected against illegal access and intervention to maintain their integrity. This research study investigates whether or not it is possible to have encrypted communication in embedded systems that make use of the IoT for military purposes. It gives an overview of the many security protocols and algorithms that may be used to secure communication, along with the problems and constraints that such protocols and algorithms provide. Case studies and examples of how secure transmission has been deployed in real-world military applications are covered along with the lessons learned and best practices for moving forward with the technology's development. This article emphasizes the significance of encrypted communication in military applications and its role in protecting the safety and security of soldiers and equipment.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125123094","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}
Robots are more effective and efficient than people at doing every chore around the house. The goal of this research is to demonstrate a prototype of an autonomous robot that can deliver meals to hotel guests. To save time and money, the sample is used with the resources that are already available. Smart menu cards that can be touched are taking their place. The proposed line-following robot is made with sensor-controlled motors that follow a pre-set line plan so that meals can be handed out. The aim is to create a robot that can effectively serve humans in public settings. The robot can be summoned by toggling a switch on the user's desk. Bluetooth is the foundation of the entire system.
{"title":"Next Generation Electronic Waiter: Wireless Menu Ordering & Serving Robot","authors":"Shubham Chavan, Prasad Chaudhari, Kunal Gade, Kunal Sharma Dr, M.Sujith Dr, D.B.Pardeshi","doi":"10.1109/icecaa58104.2023.10212321","DOIUrl":"https://doi.org/10.1109/icecaa58104.2023.10212321","url":null,"abstract":"Robots are more effective and efficient than people at doing every chore around the house. The goal of this research is to demonstrate a prototype of an autonomous robot that can deliver meals to hotel guests. To save time and money, the sample is used with the resources that are already available. Smart menu cards that can be touched are taking their place. The proposed line-following robot is made with sensor-controlled motors that follow a pre-set line plan so that meals can be handed out. The aim is to create a robot that can effectively serve humans in public settings. The robot can be summoned by toggling a switch on the user's desk. Bluetooth is the foundation of the entire system.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126173760","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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