Anurag Sinha - Academia.edu (original) (raw)

Conference Presentations by Anurag Sinha

International Web Conference On Smart Engineering Technologies-2020, 2020

The craft of scrambling messages utilizing music is named as Musical cryptography and it utiliz... more The craft of scrambling messages
utilizing music is named as Musical cryptography and it
utilizes predefined set of notes and set of rules for making
melodic pieces which thus are melodic cryptograms.
Traditional methodologies applied to melodic
cryptography utilized basic replacement figure which
produces melodic arrangements. - Music and its
trademark have been utilized in various region of world.
Music can be utilized as a language of correspondence.
Music notes have been utilized in the field of transcription
and cryptography in early days. A part of information is
covered up inside a melodic note and ships off the
objective. Melodic images and melodic notes have been
utilized as the replacement figure. The fundamental
objective of the melodic cryptography is to produce
distinctive melodic cryptograms. Any melodic note
comprises of seven fundamental keys. Our ordinary Indian
music is made of the seven keys Sa, Re, Ga, Ma, Pa, Dha,
Ni. The western music notes depend on the seven keys C,
D, E, F, G, A, B. Utilizing these notes as the fundamental
notes, music is created. Utilization of music notes in
encoding any message isn't in wide use. In this paper we
propose a strategy for encryption of any instant message
utilizing the Indian and western music notes.

International Web Conference On Smart Engineering Technologies-2020 26th & 27th June, 2020

Rapid growth in computer technologies relies on the emergence of Internet-connected sensory devic... more Rapid growth in computer technologies relies on the emergence of Internet-connected sensory devices that make possible observing and data measurement from the physical world. According to a survey it has been predictable that number of usability in IoT devices will increase by 25-50 billion. In recent year, IoT gained ample of popularity in this domain and used vastly in a variety of applications. IoT depicts the new forms of communication such as between human and things, and between two things. Moreover, with the rise of the Internet of Things (IoT), applications have become smarter and connected devices give rise to their utilization in all aspects of a modern city. Internet of things (IoT) is nowadays one of the fastest approaching technologies for private and business purposes as well. Due to a increase in number of IoT devices and their rapid introduction to the market, security of things and their services is often not at the expected level. The goal of proposing this paper is to demonstrate the investigation of different Machine Learning algorithm in IoT. In this paper it is aimed to depict the various challenges of IoT data of smart cities by using machine learning algorithm. In nutshell, the prominent contribution of this research is to show the method that is applied to data in order to extract higher level information. At the present era IoT concepts are highly influenced by creating a new paradigm in the internet world. Such applications are logistic, transportation, agriculture, healthcare, and environment. Increasing the use of internet and external factor of environment are caused dynamic change in IoT system. In recent year, machine learning technique have been used widely because of its technologies such that identification, extraction, classification, regression and forecasting. The aim of this paper is to survey different IoT technologies to assist the people to live in a smart environment. In this proposed chapter, also smart transportation is supposed to be a prominent term that covers route optimization, parking, street lights, accident prevention/detection, road anomalies, and infrastructure applications. The purpose of this paper is to make a self-reliant review of ML techniques and IoT applications in Intelligent Transportation Systems (ITS) and attain a clear view of the trends and spot probable reporting needs. In this paper a systematic approach is used to show several researches that have been done on Machine Learning application in Iot.

Papers by Anurag Sinha

PloS one, 2018

Pseudomonas syringae Lz4W RecBCD enzyme, RecBCDPs, is a trimeric protein complex comprised of Rec... more Pseudomonas syringae Lz4W RecBCD enzyme, RecBCDPs, is a trimeric protein complex comprised of RecC, RecB, and RecD subunits. RecBCD enzyme is essential for P. syringae growth at low temperature, and it protects cells from low temperature induced replication arrest. In this study, we show that the RecBCDPs enzyme displays distinct biochemical behaviors. Unlike E. coli RecBCD enzyme, the RecD subunit is indispensable for RecBCDPs function. The RecD motor activity is essential for the Chi-like fragments production in P. syringae, highlighting a distinct role for P. syringae RecD subunit in DNA repair and recombination process. Here, we demonstrate that the RecBCDPs enzyme recognizes a unique octameric DNA sequence, 5'-GCTGGCGC-3' (ChiPs) that attenuates nuclease activity of the enzyme when it enters dsDNA from the 3'-end. We propose that the reduced translocation activities manifested by motor-defective mutants cause cold sensitivity in P. syrinage; emphasizing the importan...

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020

Yoga is an ancient science and discipline originated in India 5000 years ago. It is used to bring... more Yoga is an ancient science and discipline originated in India 5000 years ago. It is used to bring harmony to both body and mind with the help of asana, meditation and various other breathing techniques It bring peace to the mind. Due to increase of stress in the modern lifestyle, yoga has become popular throughout the world. There are various ways through which one can learn yoga. Yoga can be learnt by attending classes at a yoga centre or through home tutoring. It can also be self-learnt with the help of books and videos. Most people prefer self-learning but it is hard for them to find incorrect parts of their yoga poses by themselves. Using the system, the user can select the pose that he/she wishes to practice. He/she can then upload a photo of themselves doing the pose. The pose of the user is compared with the pose of the expert and difference in angles of various body joints is calculated. Based on thisdifference of angles feedback is provided to the user so that he/she can improve the pose.

Engineering Science and Technology, an International Journal, 2020

Changes in the lifestyle of everyone around the world. In those changes wearing a mask has been ... more Changes in the lifestyle of everyone around the world. In those changes wearing a mask has been
very vital to every individual. Detection of people who are not wearing masks is a challenge due
to Outbreak of the Coronavirus pandemic has created various the large number of populations.
This project can be used in schools, hospitals, banks, airports, and etc. as a digitalized scanning
tool. The technique of detecting people’s faces and segregating them into two classes namely the
people with masks and people without masks is done with the help of image processing and deep
learning. With the help of this project, a person who is intended to monitor the people can be
seated in a remote area and still can monitor efficiently and give instructions accordingly.
Various libraries of python such as Open CV, Tensor flow and Keras. In Deep Learning
Convolution Neural Networks is a class Deep Neural Networks which is used to train the models
used for this project.

IJCEA, 2020

Changes in the lifestyle of everyone around the world. In those changes wearing a mask has been v... more Changes in the lifestyle of everyone around the world. In those changes wearing a mask has been very vital to every individual. Detection of people who are not wearing masks is a challenge due to Outbreak of the Coronavirus pandemic has created various the large number of populations. This project can be used in schools, hospitals, banks, airports, and etc. as a digitalized scanning tool. The technique of detecting people's faces and segregating them into two clas masks and people without masks is done with the help of image processing and deep learning. With the help of this project, a person who is intended to monitor the people can be seated in a remote area and still can monitor efficiently and give instructions accordingly. Various libraries of python such as OpenCV, Tensorflow and Keras. In Deep Learning Convolution Neural Networks is a class Deep Neural Networks which is used to train the models used for this project. Changes in the lifestyle of everyone around the world. In those changes wearing a mask has been very vital to every individual. Detection of people who are not wearing masks is a challenge due to Coronavirus pandemic has created various the large number of populations. This project can be used in schools, hospitals, banks, airports, and etc. as a digitalized scanning tool. The technique of detecting people's faces and segregating them into two classes namely the people with masks and people without masks is done with the help of image processing and deep learning. With the help of this project, a person who is intended to monitor the people can be seated in a remote ently and give instructions accordingly. Changes in the lifestyle of everyone around the world. In those changes wearing a mask has been very vital to every individual. Detection of people who are not wearing masks is a challenge due to Coronavirus pandemic has created various the large number of populations. This project can be used in schools, hospitals, banks, airports, and etc. as a digitalized scanning tool. The ses namely the people with masks and people without masks is done with the help of image processing and deep learning. With the help of this project, a person who is intended to monitor the people can be seated in a remote ently and give instructions accordingly. Various libraries of python such as OpenCV, Tensorflow and Keras. In Deep Learning Convolution Neural Networks is a class OpenCV,

International Journal of Recent Technology and Engineering , 2020

In this paper, I propose a smart door and doorbell system for home automation using Internet of t... more In this paper, I propose a smart door and doorbell system for home automation using Internet of things (IoT) and Artificial Intelligence (AI) for old aged and differently able people to make their life easy and secure. In this model I am using Raspberry Pi for managing various interfaces and communications. The model consists of various interfaces including sensors, actuators and various inputs and out interfaces. To implement my IoT solution I have used AWS (Amazon web service) IoT as it provides many cloud services to support various IoT based application. The apps give access to IoT devices and the features the cloud services provides to those the devices are connected. The devices use various technologies and protocols such as Wi-Fi or cellular data to connect with the cloud. The mode of communication is via MQTT (Message Queuing and Telemetry Transport) process.. I have also used various software including device software, control services, data derives and core services provided by the AWS IoT which make this model efficient and scalable. The overall aim of this paper is to make appropriate use of the technology for the needy and coming generations to come

International Journal of Recent Technology and Engineering , 2020

In this paper, I want to propose a model which will analyze the sentiment and emotion of the pers... more In this paper, I want to propose a model which will analyze the sentiment and emotion of the person using social media, ex. Face book, using machine learning and deep learning. Now a days, mostly teenagers are depressed and stressed due to over use of social media and emotional breakdown. This project will help them to know their emotional status and improve emotional stability. The numerous data floating around virtually can be taken as the context of data science and big data. In this paper I will show how useful information can be mined out of those data sets. The next objective of this paper is to retrieve and pre-process the social media data for sentiment analysis, which is a part of natural language processing. I will use several techniques of NLP for data pre-processing for better sentiment analysis. The essential requirement of this paper is to show the realization how individuals feel certain social media status which will be utilized for classification.

IJIRASE, 2020

In this paper, I propose a model that will analyze the person's sentiment and emotion using socia... more In this paper, I propose a model that will analyze the person's sentiment and emotion using social media. Face book, using machine learning and deep learning. Nowadays, most teenagers are depressed and stressed due to the overuse of social media and emotional breakdown. This project will help them to know their status and improve emotional stability. The numerous data floating around virtually can be taken as the context of data science and big data. In this paper, I will show how useful information can be mined out of those data sets. This paper aims to retrieve and pre-process social media data for sentiment analysis, which is a part of natural language processing. I will use several techniques of NLP for data pre-processing for better sentiment analysis. This paper essential requirement is to show the realization how individuals feel certain social media status, which will be utilized for classification.

IJIRASE, 2020

In this paper, I propose a smart door and doorbell system for home automation using the Internet ... more In this paper, I propose a smart door and doorbell system for home automation using the Internet of things (IoT) and Artificial Intelligence (AI) for old aged and differently able people to make their life easy and secure. In this model, I am using Raspberry Pi for managing various interfaces and communications. The model consists of multiple interfaces, including sensors, actuators and multiple inputs and out interfaces. To implement my IoT solution I have used AWS (Amazon web service) IoT to provide many cloud services to support IoT-based applications. The apps give access to IoT devices and the features the cloud services offer to those connected. The tools use various technologies and protocols such as Wi-Fi or cellular data to communicate with the cloud. The mode of communication is via MQTT (Message Queuing and Telemetry Transport) process. I have also used various software, including device software, control services, data derives and core services provided by the AWS IoT, making this model efficient and scalable. The overall aim of this paper is to make appropriate use of the technology for the needy and coming generations to come

Journal of Computer and Mathematical Sciences,, 2020

In today's world, data security is the main concern for anyone. Information security is the most ... more In today's world, data security is the main concern for anyone. Information security is the most extreme basic issue in guaranteeing safe transmission of data through the web. Data security ensures that our data is only accessible by the intended receiver and prevents any modification or alteration of data. In order to achieve this level of security, various cryptography algorithms and methods have been developed. This paper proposes a new Dynamic Cryptography technique through which Security can be enhanced as it increases the complexity of solving the cipher text when handled by intruders.

International Journal of Scientific Research in Computer Science and Engineering, 2020

E-mail has become one of the essential economic for all forms of communication in today's life. T... more E-mail has become one of the essential economic for all forms of communication in today's life. The rise in the users of email has drastically increased the data set of the email available on the one tap over the internet. In this paper we will propose an algorithm based on machine learning which will classify the email based on its subject. We have used several machines learning algorithms classifier Such as SVM classifier, neural network classifier. However people mostly prefer email to be as a communication for business and other personal purposes. Application of the emails has been used everywhere in education, corporate, business and so on. With the Rise of the data set of the email it's generate a Corpus with itself which can be used as a different categorization through which we will classify the email based on its subject matter. The rise in the number of the data sets of the email it brings some more features along with it through which we can extract some features with it and we can implement opinion mining and sentiment analysis and thereby we can extract spam ham detections of the email data out of it. We have used supervised machine learning algorithm for the implementation of the data sets that we have used and converted the unlabeled and unstructured data set of email into the labeled and structured datasets and then we have extracted the features from it. Moreover various public data sets, feature sets, classification techniques, performance measures are examined and use in each in identified application area. In this paper we have used several datasets of email for the subject based classification and we have also proposed algorithm for spam detection for this method we have employed several machine learning algorithm.

International journal of Advanced science and Technology, 2020

E-mail has become one of the essential economic for all forms of communication in today's life. T... more E-mail has become one of the essential economic for all forms of communication in today's life. The rise in the users of email has drastically increased the data set of the email available on the one tap over the internet. In this paper we will propose an algorithm based on machine learning which will classify the email based on its subject. We have used several machines learning algorithms classifier Such as SVM classifier, neural network classifier. however people mostly prefer email to be as a communication for business and other personal purposes. Application of the emails has been used everywhere in education, corporate, business and so on. With the Rise of the data set of the email it's generate a Corpus with itself which can be used as a different categorization through which we will classify the email based on its subject matter. The rise in the number of the data sets of the email it brings some more features along with it through which we can extract some features with it and we can implement opinion mining and sentiment analysis and thereby we can extract spam ham detections of the email data out of it. We have used supervised machine learning algorithm for the implementation of the data sets that we have used and converted the unlabeled and unstructured data set of email into the labeled and structured datasets and then we have extracted the features from it. Moreover various public data sets, feature sets, classification techniques, performance measures are examined and use in each in identified application area. In this paper we have used several datasets of email for the subject based classification and we have also proposed algorithm for spam detection for this method we have employed several machine learning algorithm.

Journal of Emerging Technologies and Innovative Research (JETIR) , 2020

Software metrics have a direct link with measurement in software engineering. Correct measurement... more Software metrics have a direct link with measurement in software engineering. Correct measurement is the prior condition in any engineering fields, and software engineering is not an exception, as the size and complexity of software increases, manual inspect becomes a harder task. Most Software Engineers worry about the quality of software, how to measure and enhance its quality. The overall objective of this study was to asses and analysis's software metrics used to measure the software product. Developers have attempted to improve software quality by mining and analyzing software data. In any phase of software development life cycle (SDLC), while huge amount of data is produced, some design, security, or software problems may analyze software data helps to handle these problems and lead to more accurate and timely delivery of software projects. Various data mining and machine learning studies have been conducted to deal with software engineering tasks such as defect prediction, effort estimation, etc. This study shows the open issues and presents related solutions and recommendations in software engineering, applying data mining and machine learning techniques. Software quality is a field of study and practice that describes the desirable attributes of software products. The performance must be perfect without any defects. Software quality metrics are a subset of software metrics that f software defect prediction model helps in early detection of defects and contributes to their efficient removal and producing a quality software system based on several metrics. The main paper is to help developers identify defects based on existing software metrics using data mining techniques and thereby improve the software quality. In this paper, various classification are revisited which are employed for software defect prediction using software metrics in the literature.

International Journal of Innovative Research in Applied Sciences and Engineering (IJIRASE), 2020

In recent years the product quality has been one of the crucial parts for every single industry. ... more In recent years the product quality has been one of the crucial parts for every single industry. The conventional methods for assessing the product quality are very time consuming and also not having the optimal result however with the resultant in dynamic Technology movement. We have the concepts of machine learning and data science through this technique it's become more efficient to assess or to predict any kind of thing efficiently. In this paper, we have explored several machine learning techniques for evaluating wine quality based on different metrics and properties related to wine quality. In this paper, we have also used several machine learning algorithms to rank the quality of wines and investigate why people make the wine taste more interesting. We have selected the features using the most popular machine learning techniques. We used different types of datasets for this particular study.

International Journal of Innovative Research in Applied Sciences and Engineering (IJIRASE), 2020

Software engineering practices have been used for years to build software products. Choosing a so... more Software engineering practices have been used for years to build software products. Choosing a software development methodology suitable for a specific project and harmonizing the methodology for clear requirements has been controversial ever since the discipline of the software development organization. Currently, the goal of most software companies is to produce software in minimal time at an insignificant cost and to produce software in an unbalanced and changing environment as Agile grows. Finding and addressing mechanisms to address and consider improving successful agile implementation, use, and delivery. In this paper, we will discuss some configurations that confirm why Agile is preferred over waterfall models. As the appeal of Agile methods grows, many software organizations are moving away from traditional systems to adopt Agile development methodologies. As an alternative to extrapolation, Agile is highly adaptable and people-focused. Support those who work closely and for joint teams. However, team size is limited by the workforce factor. This white paper provides a multidimensional observation of performance factors in agile software development projects. Then, evaluate the performance factors published in research papers, articles and technical reports related to real agile projects. To promote the indulgence of success factors, researchers organize them into five categories: organization, people, process, design, and technology. This is why in this white paper we will analyze some of the success factors of agile practices that are manipulated at the organizational level.

International Journal of Innovative Research in Applied Sciences and Engineering (IJIRASE), 2020

Participation in every film is free. The traditional approach is to register for the service to b... more Participation in every film is free. The traditional approach is to register for the service to be attended to keep at the individual student. The biometric system is another measure of attendance. The implementation of biometric recognition systems to the physical or behavioural characteristics, such as iris, voice, face and fingerprints. However, these measures have proved-time consuming and boring. This makes significant progress in the stands automatically, marking the counting process through. The proposed method is aimed at the students present at the time, and it can be used by other teachers for verification. In this paper along with the CCTV cameras to capture entering students in the classroom and went out. Attendance is displayed by the numbers an hour from entering the class areas.

International Journal of Innovative Research in Applied Sciences and Engineering, 2020

ABSTRACT-In India online matrimonial websites are widely used among the customers and being the t... more ABSTRACT-In India online matrimonial websites are widely used among the customers and being the trusted and reputed website of the Indian globally. The number of people getting registered in the matrimonial sites it creates a lot of data sets, a lot of an unstructured data sets which is floating around the internet. there comes the concept of big data analysis, big data analysis is the analysis of the data science and machine learning algorithms through which we can extract and mine the knowledgeable and informative data sets which can be used for predicting the future instances. In this paper we are analyzing the big data set from the machine learning data repository, to be driven analyze the different it is its using implementing a different machine learning algorithm and regal the informative information. we will be implementing various data mining operations such as opinion mining and sentiment analysis data visualisation and machine learning technique, marriage information have always been an integral and confidential knowledgeable in any civilized and well educated society. some online agency rate on this matrimonial websites by creating a profile of individual to get in touch with the other individual for their life purposes. in this paper we will be analysing the total number of sexual harassment and domestic violence cases that has been registered in India. since 2001 marriage culture the dowry is one of the conventional and ever emergence kind of sickness. which cannot be removed ever. using data visualisation technique by a language we will show that how many cases have been registered in India in sexual harassment and dowry. we will also implement the several operations such as horoscope preferences income and statuses of the individual as per the data collected by the matrimonial data repository.

International Journal for Modern Trends in Science and technology ISSN: 2455-3778 online, 2020

In the present work 8 dry samples have taken for quality analysis parboiled and non-parboiled ric... more In the present work 8 dry samples have taken for quality analysis parboiled and non-parboiled rice variation type has been chosen here. And dimensional parameters have been measured in dry condition and after I determine treatment for preparing it as food image processing and machine learning have been applied successfully to analyze the experiment data in graduation of the right sample and accuracy of the gradation in this work is quite good. Experimental results have been validated with respect to the market price and customer choice.

INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING and SYSTEM SOFTWARE, 2020

Software metrics have a direct link with measurement in software engineering. Correct measuremen... more Software metrics have a direct link with measurement in software engineering. Correct
measurement is the prior condition in any engineering fields, and software engineering is not an
exception, as the size and complexity of software increases, manual inspe
becomes a harder task. Most Software Engineers worry about the quality of software, how to
measure and enhance its quality. The overall objective of this study was to asses and analysis’s
software metrics used to measure the software prod
Developers have attempted to improve software quality by mining and analyzing software data. In
any phase of software development life cycle (SDLC), while huge amount of data is produced, some
design, security, or software problems may
analyzing software data helps to handle these problems and lead to more accurate and timely delivery
of software projects. Various data mining and machine learning studies have been conducted to deal
with software engineering tasks such as defect prediction, effort estimation, etc. This study shows the
open issues and presents related solutions and recommendations in software engineering, applying
data mining and machine learning techniques.
Software quality is a field of study and practice that describes the desirable attributes of software
products. The performance must be perfect without any defects. Software quality metrics are a subset
of software metrics that f
software defect prediction model helps in early detection of defects and contributes to their efficient
removal and producing a quality software system based on several metrics. The main
paper is to help developers identify defects based on existing software metrics using data mining
techniques and thereby improve the software quality. In this paper, various classification
are revisited which are employed for software defect prediction using software metrics in the
literature.