Nowadays, charging portable devices like mobile devices through power banks is very common and is... more Nowadays, charging portable devices like mobile devices through power banks is very common and is required. In this paper, the drawbacks of existing power banks are discussed and are required to upgrade with novel and reliable technology. The mobile devices need to be recharged whenever its charging is completed, that’s why power banks came into the market to recharge portable devices such as mobile devices. As the load increases, the charging will be degraded and needs to be charged. The charging phenomenon that existing power banks use is time-consuming. The factor time plays an important role in modern days because many activities need to be done at that time. The scheduled activities to be disturbed because of the lack of charging while involved in traveling for long hours and the days. When there is a technology added in the power banks where the portable devices are charged instantly by scanning the power bank charged code using recipient mobile (Portable device). The charging of the portable device is done in nanoseconds. This greatly reduces the amount of time spent on charging over portable devices using existing power banks. Functionality and performance are demonstrated in the proposed and results chapter. In this, the amount of charging is also to be customized so that the leftover charging in the power bank to be used for charging the other portable device.
nternational journal of communication networks and information security, Dec 31, 2022
Data analysis is important for managing a lot of knowledge in the healthcare industry. The older ... more Data analysis is important for managing a lot of knowledge in the healthcare industry. The older medical study favored prediction over processing and assimilating a massive volume of hospital data. The precise research of health data becomes advantageous for early disease identification and patient treatment as a result of the tremendous knowledge expansion in the biological and healthcare fields. But when there are gaps in the medical data, the accuracy suffers. The use of Kmeans algorithm is modest and efficient to perform. It is appropriate for processing vast quantities of continuous, high-dimensional numerical data. However, the number of clusters in the given dataset must be predetermined for this technique, and choosing the right K is frequently challenging. The cluster centers chosen in the first phase have an impact on the clustering results as well. To overcome this drawback in k-means to modify the initialization and centroid steps in classification technique with combining (Convolutional neural network) CNN and ELM (extreme learning machine) technique is used. To increase this work, disease risk prediction using repository dataset is proposed. We use different types of machine learning algorithm for predicting disease using structured data. The prediction accuracy of using proposed hybrid model is 99.8% which is more than SVM (support vector machine), KNN (k-nearest neighbors), AB (AdaBoost algorithm) and CKNCNN (consensus K-nearest neighbor algorithm and convolution neural network).
WITHDRAWN: Searching the text in mails including attached files and outputting categorical results
Materials Today: Proceedings
Abstract Nowadays, there were many emails coming from different aged and community persons or org... more Abstract Nowadays, there were many emails coming from different aged and community persons or organizations to our mail, there to find some text gives only content of mail that matched with the patterns. The searching is required because our mail is loaded with many mails as time passes, here to remember everyday mail and its content is not possible for a human. Hence, to search for some text in the mail takes little time only to show the emails that consist of searching content. The output lists many mails where the required content is matched. It is restricted to the mails in the current domain only. To search in some text (patterns) irrespective of various domains, there is no option in available options in the mail. Hence, the proposed method aims for searching some text (many patterns) in various domains in the mail categorically and this searching spans also in the attached files irrespective of type. The output of this proposed approach outputs all the mails possessing that part of full text or exactly as it is that appears. The result obtained also outputs the mails that consist of content that searched categorically. The tentative output screens are specified in the results chapter and the obtained results provide user flexibility to navigate through the mails in order to fix the correct mail required rather than spending a lot of time for actual content in the restricted viewing pane of the mails.
A newly developed health system for a diabetic is described in this study, which tracks their hea... more A newly developed health system for a diabetic is described in this study, which tracks their health based on blood sugar levels, heart rate, food consumption, sleep duration, and activity. To explain, this technology is continually receiving variables via sensors and processes them using a neural network to analyze the data, yielding four things like health threats: minimal, moderate, extreme, and severe. The spectrum of genetic risk varies depending on the customer's kind and past health histories. Furthermore, if a patient's health state is at high or extreme danger, an instantaneous phone call/SMS notice is made to the patient's family, including the patient's position. In addition, it alerts patients to the nearest hospital if they are in danger. This technique has been successfully tested on 25 people with diabetes, with reliability of 84.41 percent in determining the appropriate level of risk, which is a highly adequate standard of determining risk factor status.
WITHDRAWN: Heart disease early prediction using a novel machine learning method called improved K-means neighbor classifier in python
Materials Today: Proceedings, 2021
Abstract The various existed machine learning classifiers are defined for prediction of early hea... more Abstract The various existed machine learning classifiers are defined for prediction of early heart disease than the schedule of it, the improved version of K-means neighbour classifier is used that guarantees the more accuracy than actual K-means neighbour classifier and other related classifiers. The terms that influence the heart diseases significantly smoking, food habits, diabetes, blood pressure and other related. In such scenarios, a specific approach or hybrid combination of predicting approaches are required to predict the heart disease very early. In the stages of predicting the heart disease, the classifier is the fourth stage which is significant stage for achieving accuracy, sensitivity, and specificity. When k-means neighbour classification is compared, the ideology titled heart diseases prediction very early using improved k-means neighbour classifier is more efficient in the processing and computing the accuracy. The improved k-means neighbour in the python environment is illustrated with few information sets and produces the output with more accuracy when compared with actual k-means neighbour classifier. The working of the proposed system with architecture and ER Diagrams are defined in the methodology along with pseudo procedure.
International Journal of Computer Applications, 2018
Cloud computing is the development of parallel computing, distributed computing, grid computing a... more Cloud computing is the development of parallel computing, distributed computing, grid computing and virtualization technologies which defines the shape of a new era. Cloud computing is an emerging model of business computing. It means storing and accessing data over the internet instead of your computer's hard drive. That means all the data what you are going to access is on air i.e., on internet. In this paper we have enlighten different computing models from which we have finally concluded that Cloud Computing is one of its types which is a combination of cluster and grid computing models. Many people have different opinion about the term Cloud Computing, many even says that it is a new technology and new establishment on internet, but Cloud Computing is available on internet since the day the Internet was evolved. In this paper we have focused on technical aspects of cloud computing and have explained it via different computing models. This paper provides a better understanding of the cloud computing and also explains the evolution of it by understanding the emergence of internet with benefits.
Algorithm is proposed to transfer data more securely along Bluetooth channel. To transfer data co... more Algorithm is proposed to transfer data more securely along Bluetooth channel. To transfer data confidentially between paired devices a 128bit stream cipher algorithm E0 is used in Bluetooth communication .E0 is vulnerable to certain types of security attacks. Vulnerabilities present in E0 and conditions are discussed. Proposed algorithm use AES for data encryption, which can be used as block cipher [E0 works in stream ciphering mode].The keys used in AES is encrypted using elliptic curve cryptography [ECC], most secure and fast algorithm use small size keys. It is almost unfeasible to attempt a brute force attack to break the cryptosystem using ECC.
Optimizing Energy Consumption in WSN using Clustering and SPIN Protocol
Conservation of energy has been an important issue in wireless sensor networks that is made of ti... more Conservation of energy has been an important issue in wireless sensor networks that is made of tiny sensor nodes with little power, memory and computation power. Restricted resources of the network require mechanism that can efficiently communicates information from sensor nodes to sink. Many existing clustering protocols are there to transfer sensed data from sensor nodes to cluster head and then to sink. Sensor nodes exhaust more energy in communication compared to sensing and computation. Spin protocol decreases notable amount of energy by reducing number of transmission in the network. Spin protocol sends meta-data before circulation of actual data in the network thus reduces traffic. This scheme can be used in clustered network which will further decrease depletion of energy. In this proposed algorithm whole network is partitioned in clusters with one elevated energy playing as cluster head in each cluster. Each cluster head first collects meta-data of sensed information which ...
In today health trend, the deaths are increasing due to the heart diseases. The lives to be saved... more In today health trend, the deaths are increasing due to the heart diseases. The lives to be saved and deaths need to be minimized by determining the heart disease on the samples of health patient sources derived from medical clinics. The appropriate treatments are to be guided and prescribed as the follow up. For predicting the heart diseases in advance, one of the factors significantly assumed is accuracy. Based on this factor, there were many methodologies are taken as study and compared with few factors. The review over those methodologies suggest that new methods are more sophisticated and are more reliable in determining the heart disease with more accuracy. The approaches that would be described in terms of their working theme and their accuracies are noted. The domains from which the techniques, the tools, the datasets are taken are from data mining, machine learning, deep learning and other type, python environment and other relevant type, Cleveland or Kaggle and other speci...
Nowadays, charging portable devices like mobile devices through power banks is very common and is... more Nowadays, charging portable devices like mobile devices through power banks is very common and is required. In this paper, the drawbacks of existing power banks are discussed and are required to upgrade with novel and reliable technology. The mobile devices need to be recharged whenever its charging is completed, that’s why power banks came into the market to recharge portable devices such as mobile devices. As the load increases, the charging will be degraded and needs to be charged. The charging phenomenon that existing power banks use is time-consuming. The factor time plays an important role in modern days because many activities need to be done at that time. The scheduled activities to be disturbed because of the lack of charging while involved in traveling for long hours and the days. When there is a technology added in the power banks where the portable devices are charged instantly by scanning the power bank charged code using recipient mobile (Portable device). The charging of the portable device is done in nanoseconds. This greatly reduces the amount of time spent on charging over portable devices using existing power banks. Functionality and performance are demonstrated in the proposed and results chapter. In this, the amount of charging is also to be customized so that the leftover charging in the power bank to be used for charging the other portable device.
nternational journal of communication networks and information security, Dec 31, 2022
Data analysis is important for managing a lot of knowledge in the healthcare industry. The older ... more Data analysis is important for managing a lot of knowledge in the healthcare industry. The older medical study favored prediction over processing and assimilating a massive volume of hospital data. The precise research of health data becomes advantageous for early disease identification and patient treatment as a result of the tremendous knowledge expansion in the biological and healthcare fields. But when there are gaps in the medical data, the accuracy suffers. The use of Kmeans algorithm is modest and efficient to perform. It is appropriate for processing vast quantities of continuous, high-dimensional numerical data. However, the number of clusters in the given dataset must be predetermined for this technique, and choosing the right K is frequently challenging. The cluster centers chosen in the first phase have an impact on the clustering results as well. To overcome this drawback in k-means to modify the initialization and centroid steps in classification technique with combining (Convolutional neural network) CNN and ELM (extreme learning machine) technique is used. To increase this work, disease risk prediction using repository dataset is proposed. We use different types of machine learning algorithm for predicting disease using structured data. The prediction accuracy of using proposed hybrid model is 99.8% which is more than SVM (support vector machine), KNN (k-nearest neighbors), AB (AdaBoost algorithm) and CKNCNN (consensus K-nearest neighbor algorithm and convolution neural network).
WITHDRAWN: Searching the text in mails including attached files and outputting categorical results
Materials Today: Proceedings
Abstract Nowadays, there were many emails coming from different aged and community persons or org... more Abstract Nowadays, there were many emails coming from different aged and community persons or organizations to our mail, there to find some text gives only content of mail that matched with the patterns. The searching is required because our mail is loaded with many mails as time passes, here to remember everyday mail and its content is not possible for a human. Hence, to search for some text in the mail takes little time only to show the emails that consist of searching content. The output lists many mails where the required content is matched. It is restricted to the mails in the current domain only. To search in some text (patterns) irrespective of various domains, there is no option in available options in the mail. Hence, the proposed method aims for searching some text (many patterns) in various domains in the mail categorically and this searching spans also in the attached files irrespective of type. The output of this proposed approach outputs all the mails possessing that part of full text or exactly as it is that appears. The result obtained also outputs the mails that consist of content that searched categorically. The tentative output screens are specified in the results chapter and the obtained results provide user flexibility to navigate through the mails in order to fix the correct mail required rather than spending a lot of time for actual content in the restricted viewing pane of the mails.
A newly developed health system for a diabetic is described in this study, which tracks their hea... more A newly developed health system for a diabetic is described in this study, which tracks their health based on blood sugar levels, heart rate, food consumption, sleep duration, and activity. To explain, this technology is continually receiving variables via sensors and processes them using a neural network to analyze the data, yielding four things like health threats: minimal, moderate, extreme, and severe. The spectrum of genetic risk varies depending on the customer's kind and past health histories. Furthermore, if a patient's health state is at high or extreme danger, an instantaneous phone call/SMS notice is made to the patient's family, including the patient's position. In addition, it alerts patients to the nearest hospital if they are in danger. This technique has been successfully tested on 25 people with diabetes, with reliability of 84.41 percent in determining the appropriate level of risk, which is a highly adequate standard of determining risk factor status.
WITHDRAWN: Heart disease early prediction using a novel machine learning method called improved K-means neighbor classifier in python
Materials Today: Proceedings, 2021
Abstract The various existed machine learning classifiers are defined for prediction of early hea... more Abstract The various existed machine learning classifiers are defined for prediction of early heart disease than the schedule of it, the improved version of K-means neighbour classifier is used that guarantees the more accuracy than actual K-means neighbour classifier and other related classifiers. The terms that influence the heart diseases significantly smoking, food habits, diabetes, blood pressure and other related. In such scenarios, a specific approach or hybrid combination of predicting approaches are required to predict the heart disease very early. In the stages of predicting the heart disease, the classifier is the fourth stage which is significant stage for achieving accuracy, sensitivity, and specificity. When k-means neighbour classification is compared, the ideology titled heart diseases prediction very early using improved k-means neighbour classifier is more efficient in the processing and computing the accuracy. The improved k-means neighbour in the python environment is illustrated with few information sets and produces the output with more accuracy when compared with actual k-means neighbour classifier. The working of the proposed system with architecture and ER Diagrams are defined in the methodology along with pseudo procedure.
International Journal of Computer Applications, 2018
Cloud computing is the development of parallel computing, distributed computing, grid computing a... more Cloud computing is the development of parallel computing, distributed computing, grid computing and virtualization technologies which defines the shape of a new era. Cloud computing is an emerging model of business computing. It means storing and accessing data over the internet instead of your computer's hard drive. That means all the data what you are going to access is on air i.e., on internet. In this paper we have enlighten different computing models from which we have finally concluded that Cloud Computing is one of its types which is a combination of cluster and grid computing models. Many people have different opinion about the term Cloud Computing, many even says that it is a new technology and new establishment on internet, but Cloud Computing is available on internet since the day the Internet was evolved. In this paper we have focused on technical aspects of cloud computing and have explained it via different computing models. This paper provides a better understanding of the cloud computing and also explains the evolution of it by understanding the emergence of internet with benefits.
Algorithm is proposed to transfer data more securely along Bluetooth channel. To transfer data co... more Algorithm is proposed to transfer data more securely along Bluetooth channel. To transfer data confidentially between paired devices a 128bit stream cipher algorithm E0 is used in Bluetooth communication .E0 is vulnerable to certain types of security attacks. Vulnerabilities present in E0 and conditions are discussed. Proposed algorithm use AES for data encryption, which can be used as block cipher [E0 works in stream ciphering mode].The keys used in AES is encrypted using elliptic curve cryptography [ECC], most secure and fast algorithm use small size keys. It is almost unfeasible to attempt a brute force attack to break the cryptosystem using ECC.
Optimizing Energy Consumption in WSN using Clustering and SPIN Protocol
Conservation of energy has been an important issue in wireless sensor networks that is made of ti... more Conservation of energy has been an important issue in wireless sensor networks that is made of tiny sensor nodes with little power, memory and computation power. Restricted resources of the network require mechanism that can efficiently communicates information from sensor nodes to sink. Many existing clustering protocols are there to transfer sensed data from sensor nodes to cluster head and then to sink. Sensor nodes exhaust more energy in communication compared to sensing and computation. Spin protocol decreases notable amount of energy by reducing number of transmission in the network. Spin protocol sends meta-data before circulation of actual data in the network thus reduces traffic. This scheme can be used in clustered network which will further decrease depletion of energy. In this proposed algorithm whole network is partitioned in clusters with one elevated energy playing as cluster head in each cluster. Each cluster head first collects meta-data of sensed information which ...
In today health trend, the deaths are increasing due to the heart diseases. The lives to be saved... more In today health trend, the deaths are increasing due to the heart diseases. The lives to be saved and deaths need to be minimized by determining the heart disease on the samples of health patient sources derived from medical clinics. The appropriate treatments are to be guided and prescribed as the follow up. For predicting the heart diseases in advance, one of the factors significantly assumed is accuracy. Based on this factor, there were many methodologies are taken as study and compared with few factors. The review over those methodologies suggest that new methods are more sophisticated and are more reliable in determining the heart disease with more accuracy. The approaches that would be described in terms of their working theme and their accuracies are noted. The domains from which the techniques, the tools, the datasets are taken are from data mining, machine learning, deep learning and other type, python environment and other relevant type, Cleveland or Kaggle and other speci...
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