MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

School of Computer Engineering & Technology

Normally when user uploads any file that file is stored on single cloud service provider. From a customer’s point of view relying upon a solo Service Provider for his outsourced data is not very promising. In addition, providing better privacy as well as ensuring data availability, can be achieve by dividing the user’s data block into data pieces and distributing them among the available Service Providers in such a way that no less than a threshold number of Service Providers can take part in successful retrieval of the whole data block. In the proposed system a secured cost-effective multi-cloud storage (SCMCS) model in cloud computing which holds an economical distribution of data among the available Service Providers in the market, to provide customers with data availability as well as secure storage. Along with file storage on multiple clouds, here invention focusses on ‘Data Deduplication’ technique also. Deduplication is a method of removing duplicate files or data from the storage, and is used in cloud computing environment to minimize storage space as well as network bandwidth. In data deduplication single copy of file is stored in cloud environment, which is owned by a large number of data users which may leads to reduced reliability, availability and security. Along with deduplication, there is a major issue of security for sensitive data, when the data has been outsourced on the cloud. By addressing security challenges, we attempt to formalize the secure distributed deduplication system. Here we are proposing new distributed data deduplication system, which achieves more confidentiality, integrity and reliability, as compare to the traditional deduplication system. In the proposed system single data chunk or file is divided and distributed on the multiple cloud storage servers, in such a way that the single part of file is unpredictable. This is done by introducing a Shamir secret sharing scheme and hashing algorithms in distributed cloud storage system, without using traditional ways of encryption-decryption scheme. Also proposed system will be focusing on the recovery and reconstruction of corrupted data or failed storage site without using traditional backup or recovery methods as like RAID array method.

Engineering and Technology

International Journal of Computer Engineering and Applications

SDDMCSS: SECURE AND DATA DE-DUPLICATED MULTI-CLOUD STORAGE SYSTEM

In our system, proposed system exhibit another fine-grained two-variable approval (2FA) get theopportunity to control structure for electronic circulated Computing associations .We introduced user cannot accessdata without a secret key and a light weight security device like a finger print scanner ,and user need both secret keyas well as a light weight security device for accessing of any file.If secret key and user thumb match with registeredimage then user can view file as well download it. admin store file in fragmented format also with its replica. If someof uploaded files fragment data loss then we can get backup of our data from replica .We also introduced, If we want toacess any file in a a particular location and for a particular time then we can do it.from user, security key is stolen ordelete from a mail then user can revoke this security key from admin by request. Admin will accept the request andsend key on users mail so user can download the file.

World University root node

International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), ISSN (Online): 2319-8753, ISSN (Print): 2347-6710

Two Factor Data Security Protection Mechanism for Web Based Cloud Services

Emotions play a very important role in our lives. The behavioral expressions help to analyze the state of the individual with respect to their minds. This paper aims at providing a Machine Learning Approach in detecting the likelihood of an individual to commit suicide. Suicide is a very serious issue which is increasing rapidly in the society due to various reasons of which most are mental ones. There is a lot of brain drain that is happening due to individuals opting for suicide instead of facing life with societal challenges. Hence, it needs to be tackled and any attempt of suicide must be prevented. The behavioral pattern of an individual is analyzed using text and audio typed/spoken by the individual. Then classify the data based on emotions present in the input and thereby conclude how likely will the individual commit suicide. Appropriate predictions will help create a healthy society.

A REVIEW OF THE APPLICATIONS OF MACHINE LEARNING IN GENOMICS

An exoskeleton, also known as powered exoskeleton, is a movable machine that primarily consists of an outer mechanical framework to be worn by a person. It is energized by using a system consisting of mechanical and electrical parts that deliver at least a part of the energy for the body movements. The development in exoskeleton is considered as the embodiment in development of military applications. In this paper, we have discussed the smart exoskeleton using vital engineering applications. The paper underscores the smartness of the exoskeleton using RFID and heat signature, GPS tracking, piezoelectric shoes and provide the Indian military with a cost effective smart exoskeleton with load reducing capability allowing the bearer to carry about 40kg weight with ease.

International Journal of Computer Engineering and Applications (IJCEA)

Smart Exoskeleton Primarily For Light Weighting Of Load

The Landmines are one of the deadliest weapons used in war which has killed millions of people during the world war period. Specifically, even at the current scenario the landmines spares around 15000 to 20000 lives each year as per the report from UN. There are lot of devices, technologies roaming around the fields to detect the landmines and it is not sufficient or sometimes unpredictable. Few reports from UN suggests that still there are lot of landmines which is leftover without exploding and it may explode when it is triggered with pressure on it. To locate the landmines the devices like Metal detectors were used initially and later used with sensors to improve the prediction. But, all these detectors or technology goes in vain while some of the mines couldn’t be recognized due to unusual physical or chemical properties. Ultimately to overcome these drawbacks and save millions of lives of the soldiers and people who lives near war affected areas, the new proposal on “Landmine Detector drone’s using Machine Learning” is proposed in this paper. The Drone with sensor’s attached will determine the physical and chemical properties of the object present beneath the soil.

Landmine Detector Drone's Using Machine Learning

In a most recent couple of years, there has been a colossal consideration towards opinion investigation to remove the plenitude of information that exists on the web-based social networking locales, for example, Facebook, Twitter, and so on. This information is assessment information which can be certain or negative. Different kinds of assumptions are anticipated by various clients. This information comprehends the perspective of clients and furthermore catches the mentality of a client towards the item. We are primarily concentrating on the utilization of content digging for slants grouping. It means to catch or break down the mindset and assumptions of individuals in a specific era or season. This mindset can be glad, tragic, furious, befuddled, and so forth. This investigation would require a specific calculation or a strategy. For this reason, we can utilize existing techniques in view of Support Vector Machine and Naïve Bayes. Utilizing content mining we build a notion vocabulary, in view of interpositions, emojis or acronyms. These are extricated from statuses refreshes by various clients on Facebook. Content mining encourages you to remove subjective data.Keywords: We would like to encourage you to list your keywords here. They should be separated by commas.

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Prologue to Sentiment Analysis and its Challenges

Question Answering (QA) is a narrowed form of information retrieval which filer the information from pool of documents as per the users demands. Question Answering systems uses natural language processing techniques (NLP) to process a question and then searches for the needed information to identify the answer and presents the answer to the user. With increasing amounts of data it becomes more and more difficult for users to derive material of interest, to search efficiently for specific content or to gain an overview of influential, important and relevant material so to solve this problem information filtering plays an important role to reduce data and provide user a precise set of data instead of overloading users with a large number of irrelevant documents. Requesters visiting a CQA site need to have a sufficient level of confidence that their questions will be answered, in order to come to the site in the first place. Consequently, it is critical to keep the rate of unanswered questions to a minimum. This paper aims to help alleviating this problem by using an automatic question answering system using cosine similarity and ranking algorithm which gives output in minimal time.

International Journal of Computer Engineering and application

PATTERN BASED QUESTION ANSWER: A DATA DRIVEN APPROACH

Automatic emotion recognition has always been the talk of the town, for it finds numerous contributions to the welfare of different sectors of the society and enhances the standard of living. Emotion detection based on facial expression analysis, ECG, EEG and psychological signal processing are prevalent. Due to the drawbacks of the existing vision system for facial muscle action detection, such as it deals only with the frontal-view face images and is unable to handle the temporal dynamics of facial actions, emotion recognition using facial expression analysis is not always accurate. However, with the analysis of various psychological, EEG and ECG signal processing based emotion detection models, better efficiency, applicability to multiple users and that cause minimum amount of user inconvenience, have become plausible. As ECG signals are involuntary reactions of the body, and as such are very difficult to mask, unlike facial expressions, we intend this survey paper to be useful for the research communities working on affect detection using ECG signals processing. The paper covers automatic emotion detection model description, various linear and non-linear techniques of emotion detection specifically based on ECG signal processing. Furthermore, its limitations and applications are also explored.

A Survey on Emotion Recognition Using ECG Signals : Techniques And Its Applications

Nowadays, there is a drastic increase in demand for data storage. Due to increasing demand for data storage, the concept of cloud computing is on the rise. This enormous amount of data can be backed-up on the cloud storage but, the problem is that it significantly increases the cost of the storage and its performance. Traditional storage process of data introduces redundancies and hence concept of Data deduplication is developed. Data deduplication is an effective solution for eliminating the redundancies. It uses the concepts of hash values and index tables which help in removal of duplicate data. With the use of Data deduplication process, an effective performance increase and reduction in cost of storage can be observed. In this paper, we have discussed different data deduplication methods considering their advantages and disadvantages. We have also proposed enhanced security method for generating data chunks by using standard encryption method.