Pub Date : 2022-12-16DOI: 10.1109/SMART55829.2022.10046956
P. Pant, A. Rajawat, S. Goyal, A. Potgantwar, P. Bedi, M. Răboacă, Neagu Bogdan Constantin, Chaman Verma
Billions of galaxies, stars, solar systems, planets, and other undiscovered mysterious objects are present in the continuously expanding space. Humans took a giant step forward when the International Space Station was deployed into Earth's lower orbit for a better understanding of space. This research focuses of the Artificial Intelligence based technologies that are deployed in the International Space Station and potential models. The study proposes some Machine Learning models and technologies that could be deployed in the International Space Station to increase its efficiency and provide security to the crew. Powerful and trending Machine Learning/Deep Learning Algorithms like ANN and Clustering algorithms are suggested by the paper to get insights from the data gathered from the space and to promote the Industry Automation. A detailed explanation of the requirement, operation, and construction of NASA's “Robonauts” designed for the International Space Station is discussed in the research. The paper also put light on the ATLAS, an asteroid detecting system. The methods for providing medical aid to the crew, debris and its influence, analyzing data and extracting insight from space research data using machine learning are also highlighted. Investigation on how technologies used in space exploration could be used in the ISS to improve its performance and an overview of some of the existing AI-based technologies deployed in the International Space Station (ISS) is discussed.
{"title":"AI based Technologies for International Space Station and Space Data","authors":"P. Pant, A. Rajawat, S. Goyal, A. Potgantwar, P. Bedi, M. Răboacă, Neagu Bogdan Constantin, Chaman Verma","doi":"10.1109/SMART55829.2022.10046956","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10046956","url":null,"abstract":"Billions of galaxies, stars, solar systems, planets, and other undiscovered mysterious objects are present in the continuously expanding space. Humans took a giant step forward when the International Space Station was deployed into Earth's lower orbit for a better understanding of space. This research focuses of the Artificial Intelligence based technologies that are deployed in the International Space Station and potential models. The study proposes some Machine Learning models and technologies that could be deployed in the International Space Station to increase its efficiency and provide security to the crew. Powerful and trending Machine Learning/Deep Learning Algorithms like ANN and Clustering algorithms are suggested by the paper to get insights from the data gathered from the space and to promote the Industry Automation. A detailed explanation of the requirement, operation, and construction of NASA's “Robonauts” designed for the International Space Station is discussed in the research. The paper also put light on the ATLAS, an asteroid detecting system. The methods for providing medical aid to the crew, debris and its influence, analyzing data and extracting insight from space research data using machine learning are also highlighted. Investigation on how technologies used in space exploration could be used in the ISS to improve its performance and an overview of some of the existing AI-based technologies deployed in the International Space Station (ISS) is discussed.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130397808","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047782
Arvind Kumar Pandey, Amit Barve
Because of its butterfly-like structure, the thyroid gland is also referred to as the butterfly gland. This gland is located in the neck and controls metabolism. It is responsible for the synthesis of the hormones triiodothyronine (T3) and thyroxin (T4), both of which operate as chemical “messengers” by travelling via the bloodstream to every single cells and tissues in the body. These hormones are produced by the thyroid gland. This helps to keep our “metabolism,” which is another word for the rate at which our body functions, at a consistent level. There are some people whose thyroid glands do not operate as effectively as they should. Hypothyroidism is a disorder that happens when the thyroid gland releases insufficient thyroid hormone, which can be induced by an underactive thyroid gland. An underactive thyroid gland can also contribute to the development of hypothyroidism. Some people have an overactive thyroid gland, which can lead to hyperthyroidism, which is characterized by excessively high amounts of the thyroid hormone. Both of these conditions are considered to be major kinds of thyroid illness. A slowing of the body's metabolic rate is one of the symptoms of hypothyroidism. Gaining weight, feeling tired all the time, having problems remembering things, having trouble moving and thinking, having sluggish speech, having problems concentrating, and anxiety are all possible symptoms. On the other hand, hyperthyroidism quickens the rate at which the body burns fuel (its metabolism). This results in a wide range of symptoms, such as a rapid heartbeat, decreased appetite, diarrhoea, thirst, feeling shaky and sweaty, experiencing an abnormally high body temperature, and so on. There is a plethora of different approaches that can be utilized in order to solve this problem, some of which include machine learning (ML) and DL approaches. The primary objective of this piece of research is to develop a novel accuracy that the researchers who make use of deep NN would find useful.
{"title":"Using Deep Neural Network to Detect Thyroid Cancer","authors":"Arvind Kumar Pandey, Amit Barve","doi":"10.1109/SMART55829.2022.10047782","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047782","url":null,"abstract":"Because of its butterfly-like structure, the thyroid gland is also referred to as the butterfly gland. This gland is located in the neck and controls metabolism. It is responsible for the synthesis of the hormones triiodothyronine (T3) and thyroxin (T4), both of which operate as chemical “messengers” by travelling via the bloodstream to every single cells and tissues in the body. These hormones are produced by the thyroid gland. This helps to keep our “metabolism,” which is another word for the rate at which our body functions, at a consistent level. There are some people whose thyroid glands do not operate as effectively as they should. Hypothyroidism is a disorder that happens when the thyroid gland releases insufficient thyroid hormone, which can be induced by an underactive thyroid gland. An underactive thyroid gland can also contribute to the development of hypothyroidism. Some people have an overactive thyroid gland, which can lead to hyperthyroidism, which is characterized by excessively high amounts of the thyroid hormone. Both of these conditions are considered to be major kinds of thyroid illness. A slowing of the body's metabolic rate is one of the symptoms of hypothyroidism. Gaining weight, feeling tired all the time, having problems remembering things, having trouble moving and thinking, having sluggish speech, having problems concentrating, and anxiety are all possible symptoms. On the other hand, hyperthyroidism quickens the rate at which the body burns fuel (its metabolism). This results in a wide range of symptoms, such as a rapid heartbeat, decreased appetite, diarrhoea, thirst, feeling shaky and sweaty, experiencing an abnormally high body temperature, and so on. There is a plethora of different approaches that can be utilized in order to solve this problem, some of which include machine learning (ML) and DL approaches. The primary objective of this piece of research is to develop a novel accuracy that the researchers who make use of deep NN would find useful.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123146553","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047253
Syed Rashid Anwar, Rachit Adhvaryu
Real-time industrial process identification and picture classification are now necessary in order to prevent excessive power consumption and, respectively, to identify water contamination. These new requirements were brought about by recent legislative changes. Scholars are studding for an IoT solution that is cost-compensation and productive because implementing automated machines in manufacturing companies is normally an expensive endeavor. The live condition of industrial gear would be detected and measured using this technique. Additionally, the IoT's innovation can be used to recognize images in order to locate the causes of water pollution. In this study, multiple approaches to picture categorization were examined, and the benefits and economics of the Internet of Things (IoT) that is currently in use were presented. In order to acquire meaningful data, a primary quantitative survey approach was adopted, and the opinions of sixty different respondents served as the basis for the study. Since then, the “Discursive” sampling technique has been used to analyze the key details and offer support for an important finding. WSN is a system that has a reduced price level & can be adopted into both smaller and big industrial organizations, based on the findings of the research and analysis. Image classification by IoT has shown to be helpful for identifying contamination of water since texture analysis becomes less costly than spatiotemporal analysis. This is so because the two categories of analysis are identical.
{"title":"IoT Framework for Manufacturing and Image Classification","authors":"Syed Rashid Anwar, Rachit Adhvaryu","doi":"10.1109/SMART55829.2022.10047253","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047253","url":null,"abstract":"Real-time industrial process identification and picture classification are now necessary in order to prevent excessive power consumption and, respectively, to identify water contamination. These new requirements were brought about by recent legislative changes. Scholars are studding for an IoT solution that is cost-compensation and productive because implementing automated machines in manufacturing companies is normally an expensive endeavor. The live condition of industrial gear would be detected and measured using this technique. Additionally, the IoT's innovation can be used to recognize images in order to locate the causes of water pollution. In this study, multiple approaches to picture categorization were examined, and the benefits and economics of the Internet of Things (IoT) that is currently in use were presented. In order to acquire meaningful data, a primary quantitative survey approach was adopted, and the opinions of sixty different respondents served as the basis for the study. Since then, the “Discursive” sampling technique has been used to analyze the key details and offer support for an important finding. WSN is a system that has a reduced price level & can be adopted into both smaller and big industrial organizations, based on the findings of the research and analysis. Image classification by IoT has shown to be helpful for identifying contamination of water since texture analysis becomes less costly than spatiotemporal analysis. This is so because the two categories of analysis are identical.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126367568","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10046724
Sachin Sharma, V. Mishra, Ashendra K. Saxena
Formers are the initial pillar of any country's economy. In this era, the cleanshaven occurred red in the plants as it has been affected by a lot of diseases. Due to that the loss of money, time, manpower, and hard work of farmers. The vegetables that are affected by the disease can even harm human life. As we all know, how plants are important in our life. Plants are the only source of income for farmers. They play a big role in the economic growth of any country Nowadays leaf disease detection is the main concern issue all over the world. Manual identification of the disease is a big challenge. Thus, numerous research has been initiated to identify the disease automatically in this context, and new emerging technology such as machine learning (ML) has been used. It will help to improve the usage of time and enhance Accuracy. This will help to enhance the economy of any country. The disease can harm any plant's quality and production, which will lead the economic loss. Detection of disease in its early stages can reduce the loss of farmers and will help to enhance production. Most of the diseases in plants have the same symptoms, and we can notice them with our naked eye. But early detection of disease and proper ways of remedy more essential, and it will help to reduce the global food problem. This article targets to develop a ML approach for early discovery of disease as well as suggest the appropriate solutions.
{"title":"A Review on Tomato Disease and Artificially Intelligent Cure","authors":"Sachin Sharma, V. Mishra, Ashendra K. Saxena","doi":"10.1109/SMART55829.2022.10046724","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10046724","url":null,"abstract":"Formers are the initial pillar of any country's economy. In this era, the cleanshaven occurred red in the plants as it has been affected by a lot of diseases. Due to that the loss of money, time, manpower, and hard work of farmers. The vegetables that are affected by the disease can even harm human life. As we all know, how plants are important in our life. Plants are the only source of income for farmers. They play a big role in the economic growth of any country Nowadays leaf disease detection is the main concern issue all over the world. Manual identification of the disease is a big challenge. Thus, numerous research has been initiated to identify the disease automatically in this context, and new emerging technology such as machine learning (ML) has been used. It will help to improve the usage of time and enhance Accuracy. This will help to enhance the economy of any country. The disease can harm any plant's quality and production, which will lead the economic loss. Detection of disease in its early stages can reduce the loss of farmers and will help to enhance production. Most of the diseases in plants have the same symptoms, and we can notice them with our naked eye. But early detection of disease and proper ways of remedy more essential, and it will help to reduce the global food problem. This article targets to develop a ML approach for early discovery of disease as well as suggest the appropriate solutions.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121604304","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10046861
M. Lourens, K. Pandey, Alok Upadhyay, M. Tewari, Shivakar Tiwari, Surendra Kumar Shukla
With an emphasis on the enterprises' net wealth as learnt in the school changes, our study's primary goal is to assess the idea of learning algorithms and how it influences performance. The following steps have to be taken in order to finish the study. Following are some characteristics of supervised learning: Machine learning: What's it? Where does it function? What methods are employed? What are the problems and downfalls? What effects may reinforce learning have on the effectiveness of your organization? vii) Deep learning examples; and (vi) neural network training. Information technology skills have been used in our research to better determine how DL value proposition impacts organization performance. The technique of investigation (giving guidance based on research findings, responding to the research question, participating in discussions, finally developing and analyzing, and making recommendations). It incorporates several technological advancements, including chatbots, self-learning robots, and machine learning. All of these developments have the potential to improve people's comprehension of and responses to their surroundings. The process of reacting to or disrupting their environments while aiding in the development and expansion of competitive and strategic assets has been the driving force behind the implementation of artificial intelligence and machine understanding scientific developments by organizations. DL outperforms the competitor when it comes to enhancing the efficacy of present processes and enhancing the impact of automation, economic, and innovative advances because of its capacity to detect, predict, and engage with humans.
{"title":"Deep Learning: A Critical Analysis of its Effects on Organizational Performance","authors":"M. Lourens, K. Pandey, Alok Upadhyay, M. Tewari, Shivakar Tiwari, Surendra Kumar Shukla","doi":"10.1109/SMART55829.2022.10046861","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10046861","url":null,"abstract":"With an emphasis on the enterprises' net wealth as learnt in the school changes, our study's primary goal is to assess the idea of learning algorithms and how it influences performance. The following steps have to be taken in order to finish the study. Following are some characteristics of supervised learning: Machine learning: What's it? Where does it function? What methods are employed? What are the problems and downfalls? What effects may reinforce learning have on the effectiveness of your organization? vii) Deep learning examples; and (vi) neural network training. Information technology skills have been used in our research to better determine how DL value proposition impacts organization performance. The technique of investigation (giving guidance based on research findings, responding to the research question, participating in discussions, finally developing and analyzing, and making recommendations). It incorporates several technological advancements, including chatbots, self-learning robots, and machine learning. All of these developments have the potential to improve people's comprehension of and responses to their surroundings. The process of reacting to or disrupting their environments while aiding in the development and expansion of competitive and strategic assets has been the driving force behind the implementation of artificial intelligence and machine understanding scientific developments by organizations. DL outperforms the competitor when it comes to enhancing the efficacy of present processes and enhancing the impact of automation, economic, and innovative advances because of its capacity to detect, predict, and engage with humans.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126783546","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047780
Arvind Kumar Pandey, Warish D. Patel
Autonomous automation is a hot topic in research right now, and as human needs increase, scientists and students alike have been motivated to develop new automated technologies. This essay can be used to better understand how autonomous vehicle technology is developing. The Indian government is also devoting a sizable portion of its resources to military advancement. This study focuses on a remote-controlled bot connection method that is so flawless that it doesn't provide any difficulties. For the purpose of improving the remote vehicle's connectivity and operating range, this project will make use of wireless adapters in the capacity of signal emitters or extenders. Because of this connectedness, the bot is able to simply transfer data for doing facial recognition while simultaneously taking a live feed from the end that it is receiving it from. This project takes advantage of cutting-edge research on network setups and intercommunication technologies in Internet of Things devices. This results in an increase in the distance between the remote user and the bot. By utilizing the algorithms that are already available, it is possible to swiftly discover any obstructions or suspicious activities and report it to the military base.
{"title":"A Smart Vehicle Control Remotely using Wifi","authors":"Arvind Kumar Pandey, Warish D. Patel","doi":"10.1109/SMART55829.2022.10047780","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047780","url":null,"abstract":"Autonomous automation is a hot topic in research right now, and as human needs increase, scientists and students alike have been motivated to develop new automated technologies. This essay can be used to better understand how autonomous vehicle technology is developing. The Indian government is also devoting a sizable portion of its resources to military advancement. This study focuses on a remote-controlled bot connection method that is so flawless that it doesn't provide any difficulties. For the purpose of improving the remote vehicle's connectivity and operating range, this project will make use of wireless adapters in the capacity of signal emitters or extenders. Because of this connectedness, the bot is able to simply transfer data for doing facial recognition while simultaneously taking a live feed from the end that it is receiving it from. This project takes advantage of cutting-edge research on network setups and intercommunication technologies in Internet of Things devices. This results in an increase in the distance between the remote user and the bot. By utilizing the algorithms that are already available, it is possible to swiftly discover any obstructions or suspicious activities and report it to the military base.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"31 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114121007","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047364
Medha Khenwar, Swati Vishnoi, Ankur Sisodia
Milk is not just a simple word, it means a lot not just in India but all over the world. Milk is the most consumable product and is also the primary source of income in India. Milk consumption is not limited to a particular age group and if it is not pure then it becomes the primary source of many diseases. In this paper, we make an IoT model to check the quality of milk by embedding different sensors like bacterial activity monitored by a gas sensor, pH value monitored by pH sensor, Viscosity by Viscosity sensor, and temperature by the temperature sensor. With the help of these sensors, the IoT model ensures the quality of milk and in the end performance of this IoT model is assessed by LabVIEW. The results given by this model ensure the quality of milk by 90%. In the future, we will try to improve the percentage output of this model.
{"title":"An Assessment of Milk Adulteration IoT Based Model to Identify the Quality of Milk using Lab View","authors":"Medha Khenwar, Swati Vishnoi, Ankur Sisodia","doi":"10.1109/SMART55829.2022.10047364","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047364","url":null,"abstract":"Milk is not just a simple word, it means a lot not just in India but all over the world. Milk is the most consumable product and is also the primary source of income in India. Milk consumption is not limited to a particular age group and if it is not pure then it becomes the primary source of many diseases. In this paper, we make an IoT model to check the quality of milk by embedding different sensors like bacterial activity monitored by a gas sensor, pH value monitored by pH sensor, Viscosity by Viscosity sensor, and temperature by the temperature sensor. With the help of these sensors, the IoT model ensures the quality of milk and in the end performance of this IoT model is assessed by LabVIEW. The results given by this model ensure the quality of milk by 90%. In the future, we will try to improve the percentage output of this model.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120893418","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10046709
Praveen Kumar Tripathi, R. Shukla, N. Tiwari, Bhawesh Kumar Thakur, R. Tripathi, Shelendra Pal
In recent years, cryptography has gained a lot of scientific traction. It is the technique for creating and utilising hidden writing as cyphers or codes in text. Steganography is a scientific art form for concealing information inside of transformed protected information. The word “hidden writing” (steganography) has Greek origins. The word “steganography” is divided into two parts: “graphic” or “writing” text, and “Steganos,” which meaning “secret or covered” in the context of hiding hidden communications. Pretty Good Privacy (PGP) is using many home users, organizations, businesses, private and government agencies. The whole world has evolved into transferring the message from user to receiver using standard encrypting E-mail. Only those who peoples are intended to read message and communicate files or message in encrypted and decrypted form using public and private key cryptography techniques. Because asymmetric encryption is utilised in the current PGP system, there is a potential that data transfer may be attacked. To counteract such assaults, we presented a new steganography method for PGP with increased security, and we also introduced the idea of two-stage secure steganography.
{"title":"Enhancing Security of PGP with Steganography","authors":"Praveen Kumar Tripathi, R. Shukla, N. Tiwari, Bhawesh Kumar Thakur, R. Tripathi, Shelendra Pal","doi":"10.1109/SMART55829.2022.10046709","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10046709","url":null,"abstract":"In recent years, cryptography has gained a lot of scientific traction. It is the technique for creating and utilising hidden writing as cyphers or codes in text. Steganography is a scientific art form for concealing information inside of transformed protected information. The word “hidden writing” (steganography) has Greek origins. The word “steganography” is divided into two parts: “graphic” or “writing” text, and “Steganos,” which meaning “secret or covered” in the context of hiding hidden communications. Pretty Good Privacy (PGP) is using many home users, organizations, businesses, private and government agencies. The whole world has evolved into transferring the message from user to receiver using standard encrypting E-mail. Only those who peoples are intended to read message and communicate files or message in encrypted and decrypted form using public and private key cryptography techniques. Because asymmetric encryption is utilised in the current PGP system, there is a potential that data transfer may be attacked. To counteract such assaults, we presented a new steganography method for PGP with increased security, and we also introduced the idea of two-stage secure steganography.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115220997","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047273
Naveen Bansal, Mizan Ali Khan
The process of evaluating network packets to determine whether they are authentic or abnormal is known as intrusion detection. The enormous amount of data required for training and the need for quick and flowing data for the prediction step are indeed the fundamental hurdles in this field. The intrusion detection approach is further complicated by the inherent data imbalance existing in the domain. In this study, improved long short-term memory (LSTM) classifier is compared to traditional deep learning method and other learning algorithms, along with other metrics. This approach may be used to analyse user emotions regarding Indian higher education as well as to categorise tweets. Two algorithms form the foundation of the suggested framework: employing the evolutionary method to improve the LSTM. Because the regular LSTM algorithm may choose model parameters at random, the enhanced LSTM algorithm uses the evolutionary process to enhance its usefulness.
{"title":"PCA and Maker Methodology for Wildly Unbalanced Network Intrusion Performance Improvement","authors":"Naveen Bansal, Mizan Ali Khan","doi":"10.1109/SMART55829.2022.10047273","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047273","url":null,"abstract":"The process of evaluating network packets to determine whether they are authentic or abnormal is known as intrusion detection. The enormous amount of data required for training and the need for quick and flowing data for the prediction step are indeed the fundamental hurdles in this field. The intrusion detection approach is further complicated by the inherent data imbalance existing in the domain. In this study, improved long short-term memory (LSTM) classifier is compared to traditional deep learning method and other learning algorithms, along with other metrics. This approach may be used to analyse user emotions regarding Indian higher education as well as to categorise tweets. Two algorithms form the foundation of the suggested framework: employing the evolutionary method to improve the LSTM. Because the regular LSTM algorithm may choose model parameters at random, the enhanced LSTM algorithm uses the evolutionary process to enhance its usefulness.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114259310","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047544
Balpreet Singh, Monika Abrol
A recent development in nanostructures known as clustered may find use in the manufacture of extremely daughterboards. The way in which the modifying cells of a particular code interact has an effect on the flow of the data. The survey research design may be used to establish connections to a variety of devices while dissipating a very little amount of power. This article presents a unique XOR game that can be played online and discusses how to construct a 12-circuit using Quantum-dot cellular automata (QCA). The size of the logic circuit and its cd4 have been reduced to 0.03 square meters and 34 respectively as a result of the modified gate. Now, a total of 38 cells and 0.05 m2 of area are being utilized for the 1/2.
{"title":"A Novel ${}^1!/!{}_2$ Layout in Conventional Comes Nanostructures Relying on the XOR Gate","authors":"Balpreet Singh, Monika Abrol","doi":"10.1109/SMART55829.2022.10047544","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047544","url":null,"abstract":"A recent development in nanostructures known as clustered may find use in the manufacture of extremely daughterboards. The way in which the modifying cells of a particular code interact has an effect on the flow of the data. The survey research design may be used to establish connections to a variety of devices while dissipating a very little amount of power. This article presents a unique XOR game that can be played online and discusses how to construct a 12-circuit using Quantum-dot cellular automata (QCA). The size of the logic circuit and its cd4 have been reduced to 0.03 square meters and 34 respectively as a result of the modified gate. Now, a total of 38 cells and 0.05 m2 of area are being utilized for the 1/2.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115178941","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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