Papers by Haritha Akkineni
Operational Research in Engineering Sciences: Theory and Applications, 2021
With the Present days increasing demand for the higher performance with the application developer... more With the Present days increasing demand for the higher performance with the application developers have started considering cloud computing and cloud-based data centres as one of the prime options for hosting the application. Number of parallel research outcomes have for making a data centre secure, the data centre infrastructure must go through the auditing process. During the auditing process, auditors can access VMs, applications and data deployed on the virtual machines. The downside of the data in the VMs can be highly sensitive and during the process of audits, it is highly complex to permits based on the requests and can increase the total time taken to complete the tasks. Henceforth, the demand for the selective and adaptive auditing is the need of the current research. However, these outcomes are criticised for higher time complexity and less accuracy. Thus, this work proposes a predictive method for analysing the characteristics of the VM applications and the characteristi...
Journal of Big Data, Feb 10, 2023
The research and innovations in the field of wearable auxiliary devices for visually impaired and... more The research and innovations in the field of wearable auxiliary devices for visually impaired and blind people are playing a vital role towards improving their quality of life. However, in spite of the promising research outcomes, the existing wearable aids has several weaknesses such as more weight, limitations in the number of features and cost. The main objective of this manuscript is to provide the detailed design of a novel lightweight wearable aid with higher number of features for visually impaired and blind people. The proposed research aims to design a cognitive assistant that will guide the blind people for walking by detecting the environment around them. The framework include a Multi-Sensor Fused Navigation system comprises of a sensorbased, vision-based, and cognitive (intelligent/smart) application. The visual features for the design include obstacle detection, uneven surface detection, slope and downward steps detection, pothole detection and hallow object detection; location tracking, walking guide, image capturing and video recording. This prototype is named as Blind's Apron based on its appearance. The invention focusses on parameters like reduction on size (quite handy) and light weight (comfortable to wear), higher number of detection features, and minimum user intervention (high end operations like switching on and off). All user interactions are friendly and affordable to everyone. The results obtained in this research lead to a high end technical intervention with ease of use. Finally, the performance of the proposed cognitive assistant is tested with a user study in real-time. The feedback and corresponding results establish the effective outcome of the proposed invention which is a light weight and feature enhanced device with easily understandable instructions.
International Journal of Advanced Research in Science, Communication and Technology
The communication among people is sharing of information. The Internet is widely used in almost a... more The communication among people is sharing of information. The Internet is widely used in almost all communication applications. E-mails are the most widely used and reliable way to communicate with each other. The usage of email is quite easy for regular users but when it comes to the visually imapired persons they are unable to access the system. for those visually impaired people, we are presenting the voice based email system under the principle of voice controlling. The mails which are present in our Gmail accounts those all text mails are converted into speech (Voice) and spoken by the assistant in our systems. The system is totally based on voice reaction which will make it easy to use and effective to utilize. The people who are visually impaired persons are easy to access this voice based email system and can able to listen the all mails present in the inbox in form of voice. This will provide easy accessibility to the visually impaired persons in the world. The Contribution...
International Journal of Engineering Trends and Technology
Data is evolving with the rapid progress of population and communication for various types of dev... more Data is evolving with the rapid progress of population and communication for various types of devices such as networks, cloud computing, Internet of Things (IoT), actuators, and sensors. The increment of data and communication content goes with the equivalence of velocity, speed, size, and value to provide the useful and meaningful knowledge that helps to solve the future challenging tasks and latest issues. Besides, multicriteria based decision making is one of the key issues to solve for various issues related to the alternative effects in big data analysis. It tends to find a solution based on the latest machine learning techniques that include algorithms like decision making and deep learning mechanism based on multicriteria in providing insights to big data. On the other hand, the derivations are made for it to go with the approximations to increase the duality of runtime and improve the entire system's potentiality and efficacy. In essence, several fields, including business, agriculture, information technology, and computer science, use deep learning and multicriteria-based decision-making problems. This paper aims to provide various applications that involve the concepts of deep learning techniques and exploiting the multicriteria approaches for issues that are facing in big data analytics by proposing new studies with the fusion approaches of data-driven techniques.
Journal of Mobile Multimedia
Privacy and anonymity aspects are playing a vital role in accessing smartphone apps. This is more... more Privacy and anonymity aspects are playing a vital role in accessing smartphone apps. This is more evident in unexpected epidemic situations like COVID-19 while working with contact tracing apps. A human connectivity model is essential to analyse the widespread cases of viruses and vaccination patterns during the timeframe of March 2020 to May 2021. Smartphone apps that are supported by technologies like IoT and blockchain have already proven effective in tracing the Ebola epidemic. Thus, this technology, coupled with privacy-preserving features, would help to discover clusters with infectious contacts and alert the respective authorities. Besides, this can also allow us to understand the human connectivity model and the effectiveness of vaccines, which can aid in developing a plan of action for future epidemics. Hence, this article focuses on the analysis of data collected from contact tracing apps and a number of affected cases. It includes a study on early solutions with existing ...
Communications in computer and information science, 2022
Journal of Mobile Multimedia
The pandemic across the globe has constrained the change from a conventional face to face to e-le... more The pandemic across the globe has constrained the change from a conventional face to face to e-learning platforms. The most challenging task during online learning is to be aware and support the emotional side of students. In existing environments, the emotion of the listener consideration is lagging. This can be provided by capturing the emotions of the listener through facial expressions. In general, the most common facial expressions are happy, sad, anger, fear, disgust, neutral and surprise. This knowledge can be used to classify different listeners. Hence in this article, we proposed a novel approach to identify an emotion based learner category in the development of Intelligent Adaptive E-Learning Environment by using Convolution Neural Network. The major work is composed of emotion detection model and learner categorization. The emotion detection model is trained by using a standard FER2013 dataset and it is extended with live streams of learners. The results of emotion detec...
International Journal of Engineering Trends and Technology, 2021
The current job survey shows that most software employees are planning to change their job role d... more The current job survey shows that most software employees are planning to change their job role due to high pay for recent jobs such as data scientists, business analysts and artificial intelligence fields. The survey also indicated that work life imbalances, low pay, uneven shifts and many other factors also make employees think about changing their work life. In this paper, for an efficient organisation of the company in terms of human resources, the proposed system designed a model with the help of a random forest algorithm by considering different employee parameters. This helps the HR department retain the employee by identifying gaps and helping the organisation to run smoothly with a good employee retention ratio. This combination of HR and data science can help the productivity, collaboration and well-being of employees of the organisation. It also helps to develop strategies that have an impact on the performance of employees in terms of external and social factors.
International Journal of Advanced Research in Science, Communication and Technology, 2021
Coronavirus is a type of viral infection. There are many different kinds, and some cause disease.... more Coronavirus is a type of viral infection. There are many different kinds, and some cause disease. A newly identified coronavirus, has caused a worldwide pandemic of respiratory illness, called COVID-19. When the virus reaches the lungs, and it causes inflammation, resulting in fluid accumulation and difficulty of breathing. When fluid enters the air in the lungs where gas exchange occurs, it leads to low blood oxygen levels. This condition is termed pneumonia. There are about four to five tests which are used to identify the presence of coronavirus in humans but among them, there are only two tests which are recommended by WHO as they take less time and a low risk to identify the virus During recent times there is a fast transmission of Covid-19, And in some countries that are unable to purchase laboratory kits for testing. We aimed to present the use of Machine learning for the high-accuracy detection of Covid-19 using chest X-ray and these images are publicly available. A convolut...
Smart Intelligent Computing and Applications, 2018
There is a huge penetration of mobile phones and is forecasted to progress in its growth. By 2019... more There is a huge penetration of mobile phones and is forecasted to progress in its growth. By 2019, there will be five billion users of mobile phone (Statista - The statistics portal for market data, market research and market studies, (2017), [1]). According, Statista – A portal for statistics. This tremendous usage of mobile phones created lot of call log data. This work concentrates on one of the biggest common and woeful issue which relates to the subjective prosperity of the humanity which is the stress. Clustering and Correlation algorithms were applied on call log data. Various behavioral characteristics like mental overload, disturbed sleep, somatic complaints, psychological distress etc and abnormal behaviors were inferred which could enable the decision makers to draw out valuable insights. Finding the association between mobile phone use and behavioral characteristics of users is the main intention of this investigation. This investigate can be of vital value to profession...
International Journal of Biological Sciences
... Search result page. Title: Agriculture Wrapped with Social Networks, Data Mining and Mobile C... more ... Search result page. Title: Agriculture Wrapped with Social Networks, Data Mining and Mobile Computing to Boost up Crop Productivity. Author: HARITHA AKKINENI ; VASAVI JUNAPUDI. Abstract: “The backbone of Indian economy ...
Journal of cardiovascular disease research, 2021
Studies in Autonomic, Data-driven and Industrial Computing, 2021
Ubiquitous online communication is producing massive amounts of data on an un-precedential scale.... more Ubiquitous online communication is producing massive amounts of data on an un-precedential scale. Here people share their experiences and opinions on various topics, including personal health issues, politics ,natural disasters, and so on. This makes openly available user generated content an invaluable resource for mining interesting and actionable political insights. Working on the premise that online social media conversations might represent a new source of information to monitor the status of the policies launched by the government, this investigate stands as a first paw which may ultimately be the source for analyzing the data. The social media considered for our research is Twitter. Our paper mainly addresses the methodology of extracting the policy related tweets form twitter. Introduction Some of the traditional method like statistics, household surveys and census data have been effective in tracking medium to long-term development trends, but are less effective in generati...
Social has become mainstream and ubiquitous. Our day-to-day life has always been influenced by wh... more Social has become mainstream and ubiquitous. Our day-to-day life has always been influenced by what people think and most of the conversations are being carried out online. At the same time, citizens are becoming more enthusiastically engaged in policy issues, more empowered, and more demanding in their relations with traditional ones. Researchers identify a hunger for and reliance upon peer advice and recommendations found online and this information hunger is strongly evident in the political sphere. In any policy making considering the opinion of the public is considered to be most crucial. Around the globe governments and policy makers are working on to improve their performance by creating systems which will facilitate them in understanding their performance. However, people have difficulty, owing to their mental and physical limitations, producing consistent results when the amount of such information to be processed is huge. Automated opinion mining systems are thus needed, a...
IoT and Analytics for Sensor Networks, 2021
International Journal of Electrical and Computer Engineering (IJECE), 2015
Online presence of the user has increased, there is a huge growth in the number of active users a... more Online presence of the user has increased, there is a huge growth in the number of active users and thus the volume of data created on the online social networks is massive. Much are concentrating on the Internet Lingo. Notably most of the data on the social networking sites is made public which opens doors for companies, researchers and analyst to collect and analyze the data. We have huge volume of opinioned data available on the web we have to mine it so that we could get some interesting results out of it with could enhance the decision making process. In order to analyze the current scenario of what people are thinking focus is shifted towards opinion mining. This study presents a systematic literature review that contains a comprehensive overview of components of opinion mining, subjectivity of data, sources of opinion, the process and how does it let one analyze the current tendency of the online crowd in a particular context. Different perspectives from different authors reg...
Lecture notes in networks and systems, Oct 28, 2022
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Papers by Haritha Akkineni