Gayatri Hegde | PIIT - Academia.edu (original) (raw)
Papers by Gayatri Hegde
International Journal for Research in Applied Science and Engineering Technology
Bitcoin is one of the most popular and valuable cryptocurrencies in the current financial market,... more Bitcoin is one of the most popular and valuable cryptocurrencies in the current financial market, attracting traders for investment and thereby opening new research opportunities for researchers. Countless research works have been performed on Bitcoin price prediction with different machine learning prediction algorithms. For the project: relevant features are taken from the dataset having strong correlation with Bitcoin prices and random data chunks are then selected to train and test the model. The random data which has been selected for model training, may cause unfitting outcomes thus reducing the price prediction accuracy. Here, a proper method to train a prediction model is being scrutinised. The proposed methodology is then applied to train a simple Long Short-Term Memory (LSTM) model to predict the bitcoin price for the upcoming 30 days. When the LSTM model is trained with a suitable data chunk, thus identified, sustainable results are found for the prediction. In the end of this project, the work culminates with future improvements. Bitcoin is a kind of Cryptocurrency and now is one of type of investment on the stock market. Stock markets are influenced by many risks of factor. And bitcoin is one kind of cryptocurrency that keep rising in recent few years, and sometimes sudden fall without knowing influence behind it on the stock market. Because it's fluctuations, there's a need and automation tool to predict bitcoin on the stock market. This research study learns how to create model prediction bitcoin stock market prediction using LSTM, LSTM (Long Short-Term Memory) is another type of module provided for RNN later developed and popularized by many researchers, like RNN, the LSTM also consists of modules with recurrent consistency. The Method that we apply on this project, also technique and tools to predict Bitcoin on stock market yahoo finance can predict the result above $ 12600 USD for next days after prediction, in the last section we make conclusions and discuss future works.
The key to success for any enterprise lies in the ability to collect right data at right time and... more The key to success for any enterprise lies in the ability to collect right data at right time and deliver the right data, at the right velocity, and in the right quantities to a wide set of analytics Here in this paper we look into how many big enterprises used big data to improve their efficiency and hence the profit.
India is a nation of agriculture , its prime importance is to focus on farming and improving the ... more India is a nation of agriculture , its prime importance is to focus on farming and improving the method use for farming. In India agriculture with its allied sectors, is the largest source of livelihoods in india.The agricultural process like irrigation or testing the nutrients content of the soil in terms of fertility taken care of, this is called precision farming. The fertility of the soil is measured by the amount of nutrients present in the soil. There will be two types of nutrients present in the soil are macro and micro nutrients, also water, pH etc. In India most of the farmers use the manual technique to use the fertilizers in their agricultural land. Addition of the fertilizers in the right amount is of great importance as excess addition of the fertilizers can harm the plant life and reduce the chance of great yield. Main objective of this project is Soil fertigation system for desired crops using IoT and machine learning. In the proposed system using different sensors me...
Data Mining is popularly used to combact frauds because of its effectiveness. Using data mining t... more Data Mining is popularly used to combact frauds because of its effectiveness. Using data mining techniques or model the Credit card fraud can be detected. The Credit card provides cashless shopping all over the world. Hence the risk of fraud using Credit card is been increasing. The clustering model used to classify the legal and fraudulent transaction using data cauterisation of region of parameter. Hidden Markov Model can detect whether an incoming transaction is fraudulent or not with low false alarm. HMM does not require fraud signatures and still it is capable to detect the frauds by bearing in mind a cardholder's spending habit. An HMM is initially trained with the normal behaviour of a cardholder. If an incoming credit card transaction is not accepted by the trend HMM with sufficiently high probability, it is consider to be fraudulent. At the same time, try to ensure that genuine transactions are not rejected. The financial losses due to Credit card fraud effect not only ...
Today we are facing security issues in every aspect. So to resolve these issues by using updated ... more Today we are facing security issues in every aspect. So to resolve these issues by using updated technology. In this project, the Face recognition module is used to capture human images and to compare with stored database images. If it matches with the authorized user then the system will unlock the door by an solenoid lock. The user can also unlock the door using the android app on his phone. The need for a facial recognition system that is fast and accurate that continuously increases which can detect intruders and restricts all unauthorized users from highly secured areas and aids in minimizing human error. Face recognition is one of the most Secured System than biometric pattern recognition techniques which is used in a large spectrum of applications. The time and accuracy factor is considered about the major problem which specifies the performance of automatic face recognition in real-time environments. Various solutions have been proposed using multicore systems. By considerin...
–Working of web engine is to store and retrieve web pages. One of the various methods such as cra... more –Working of web engine is to store and retrieve web pages. One of the various methods such as crawling, indexing is used. In this paper we will be discussing about latent semantic indexing which uses indexing technique. When a user enters a query into a search engine the engine examines its index and provides a listing of best-matching web pages according to its criteria, usually with a short summary containing the document's title and sometimes parts of the text. The index is built from the information stored with the data and the method by which the information is indexed. In this study, we perform a systematic introduction and presentation of different information retrieval techniques and its comparison with latent semantic indexing (LSI). A comparison table has been made to give a better look of different models. Few limitations of LSI are discussed.
RAAHI is an autonomous robot which guides the user to their desired destination with the help of ... more RAAHI is an autonomous robot which guides the user to their desired destination with the help of voice commands. It provides assistance and information to the people in an innovative way and is used for indoor navigation. While navigating, the robot introduces the user to the surrounding using computer generated graphics and voice over to provide information about the organization. For this the visitor first needs to give the destination as input over the voice commands. The robot then plans the path of the tour based on the user input. The places (to be introduced) are associated with a tag and a unique ID. While navigating the robot detects such places using the detector and delivers information about it using the digital device display and the sound generator module. This will help the users by navigating them to their destination and will utilize the time of the tour effectively to promote the organization which in turn will enrich user experience. Hence, RAAHI can be a great he...
Waste management is simple yet effective ways of reducing the amount of waste dumped into our lan... more Waste management is simple yet effective ways of reducing the amount of waste dumped into our landfills. But there are people who are unaware or even choose to ignore the fact that waste segregation and recycling are environment friendly solutions to the problem of wastes management and disposal. There are guidelines implemented by the government with regards to recycling but these efforts have yet to touch the mindset of the people. Escalating amounts of recyclables that are not maximized and indifference in proper waste segregation has led to the group in developing a solution to this. This project Smart Waste Management system is a very innovative system which will help to keep the cities clean. This system monitors the garbage bins and informs about the level of garbage collected in the garbage bins via a desktop application. For this the system uses ultrasonic sensors placed under the lid of bins to detect the garbage level and compare it with the garbage bins depth. The system...
Inventive Computation Technologies
International Journal for Research in Applied Science and Engineering Technology
Bitcoin is one of the most popular and valuable cryptocurrencies in the current financial market,... more Bitcoin is one of the most popular and valuable cryptocurrencies in the current financial market, attracting traders for investment and thereby opening new research opportunities for researchers. Countless research works have been performed on Bitcoin price prediction with different machine learning prediction algorithms. For the project: relevant features are taken from the dataset having strong correlation with Bitcoin prices and random data chunks are then selected to train and test the model. The random data which has been selected for model training, may cause unfitting outcomes thus reducing the price prediction accuracy. Here, a proper method to train a prediction model is being scrutinised. The proposed methodology is then applied to train a simple Long Short-Term Memory (LSTM) model to predict the bitcoin price for the upcoming 30 days. When the LSTM model is trained with a suitable data chunk, thus identified, sustainable results are found for the prediction. In the end of this project, the work culminates with future improvements. Bitcoin is a kind of Cryptocurrency and now is one of type of investment on the stock market. Stock markets are influenced by many risks of factor. And bitcoin is one kind of cryptocurrency that keep rising in recent few years, and sometimes sudden fall without knowing influence behind it on the stock market. Because it's fluctuations, there's a need and automation tool to predict bitcoin on the stock market. This research study learns how to create model prediction bitcoin stock market prediction using LSTM, LSTM (Long Short-Term Memory) is another type of module provided for RNN later developed and popularized by many researchers, like RNN, the LSTM also consists of modules with recurrent consistency. The Method that we apply on this project, also technique and tools to predict Bitcoin on stock market yahoo finance can predict the result above $ 12600 USD for next days after prediction, in the last section we make conclusions and discuss future works.
The key to success for any enterprise lies in the ability to collect right data at right time and... more The key to success for any enterprise lies in the ability to collect right data at right time and deliver the right data, at the right velocity, and in the right quantities to a wide set of analytics Here in this paper we look into how many big enterprises used big data to improve their efficiency and hence the profit.
India is a nation of agriculture , its prime importance is to focus on farming and improving the ... more India is a nation of agriculture , its prime importance is to focus on farming and improving the method use for farming. In India agriculture with its allied sectors, is the largest source of livelihoods in india.The agricultural process like irrigation or testing the nutrients content of the soil in terms of fertility taken care of, this is called precision farming. The fertility of the soil is measured by the amount of nutrients present in the soil. There will be two types of nutrients present in the soil are macro and micro nutrients, also water, pH etc. In India most of the farmers use the manual technique to use the fertilizers in their agricultural land. Addition of the fertilizers in the right amount is of great importance as excess addition of the fertilizers can harm the plant life and reduce the chance of great yield. Main objective of this project is Soil fertigation system for desired crops using IoT and machine learning. In the proposed system using different sensors me...
Data Mining is popularly used to combact frauds because of its effectiveness. Using data mining t... more Data Mining is popularly used to combact frauds because of its effectiveness. Using data mining techniques or model the Credit card fraud can be detected. The Credit card provides cashless shopping all over the world. Hence the risk of fraud using Credit card is been increasing. The clustering model used to classify the legal and fraudulent transaction using data cauterisation of region of parameter. Hidden Markov Model can detect whether an incoming transaction is fraudulent or not with low false alarm. HMM does not require fraud signatures and still it is capable to detect the frauds by bearing in mind a cardholder's spending habit. An HMM is initially trained with the normal behaviour of a cardholder. If an incoming credit card transaction is not accepted by the trend HMM with sufficiently high probability, it is consider to be fraudulent. At the same time, try to ensure that genuine transactions are not rejected. The financial losses due to Credit card fraud effect not only ...
Today we are facing security issues in every aspect. So to resolve these issues by using updated ... more Today we are facing security issues in every aspect. So to resolve these issues by using updated technology. In this project, the Face recognition module is used to capture human images and to compare with stored database images. If it matches with the authorized user then the system will unlock the door by an solenoid lock. The user can also unlock the door using the android app on his phone. The need for a facial recognition system that is fast and accurate that continuously increases which can detect intruders and restricts all unauthorized users from highly secured areas and aids in minimizing human error. Face recognition is one of the most Secured System than biometric pattern recognition techniques which is used in a large spectrum of applications. The time and accuracy factor is considered about the major problem which specifies the performance of automatic face recognition in real-time environments. Various solutions have been proposed using multicore systems. By considerin...
–Working of web engine is to store and retrieve web pages. One of the various methods such as cra... more –Working of web engine is to store and retrieve web pages. One of the various methods such as crawling, indexing is used. In this paper we will be discussing about latent semantic indexing which uses indexing technique. When a user enters a query into a search engine the engine examines its index and provides a listing of best-matching web pages according to its criteria, usually with a short summary containing the document's title and sometimes parts of the text. The index is built from the information stored with the data and the method by which the information is indexed. In this study, we perform a systematic introduction and presentation of different information retrieval techniques and its comparison with latent semantic indexing (LSI). A comparison table has been made to give a better look of different models. Few limitations of LSI are discussed.
RAAHI is an autonomous robot which guides the user to their desired destination with the help of ... more RAAHI is an autonomous robot which guides the user to their desired destination with the help of voice commands. It provides assistance and information to the people in an innovative way and is used for indoor navigation. While navigating, the robot introduces the user to the surrounding using computer generated graphics and voice over to provide information about the organization. For this the visitor first needs to give the destination as input over the voice commands. The robot then plans the path of the tour based on the user input. The places (to be introduced) are associated with a tag and a unique ID. While navigating the robot detects such places using the detector and delivers information about it using the digital device display and the sound generator module. This will help the users by navigating them to their destination and will utilize the time of the tour effectively to promote the organization which in turn will enrich user experience. Hence, RAAHI can be a great he...
Waste management is simple yet effective ways of reducing the amount of waste dumped into our lan... more Waste management is simple yet effective ways of reducing the amount of waste dumped into our landfills. But there are people who are unaware or even choose to ignore the fact that waste segregation and recycling are environment friendly solutions to the problem of wastes management and disposal. There are guidelines implemented by the government with regards to recycling but these efforts have yet to touch the mindset of the people. Escalating amounts of recyclables that are not maximized and indifference in proper waste segregation has led to the group in developing a solution to this. This project Smart Waste Management system is a very innovative system which will help to keep the cities clean. This system monitors the garbage bins and informs about the level of garbage collected in the garbage bins via a desktop application. For this the system uses ultrasonic sensors placed under the lid of bins to detect the garbage level and compare it with the garbage bins depth. The system...
Inventive Computation Technologies