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;

&nbsp;

MIT World Peace University

School of Computer Engineering & Technology

Plants is the heart of an agriculture field and it’s become an important source of energy as well as financial income. The leaves of a plant provides the most important information or data which provides us to know which type of plant it is and which type of disease is infected on that leaf. The plants have to be monitored all the time in order to detect the first symptoms of a disease before it is spread to the whole crop. Professional agriculture engineers may not be available to continuously monitor a crop. Remote monitoring through machine vision can offer an alternative option. After analyzing these different techniques as well as different algorithms, and identifying their limitations, we conclude with several promising directions for future research.&nbsp;

Engineering and Technology

World University root node

International Journal of Research and Analytical Reviews in Applied Science and Engineering Technology

Farmer Buddy-Plant Leaf Disease Detection on Android Phone

Storage requirements for visual data have increased in recent years, following the appearance of manyinteractive multimedia services and applications for mobile devices in personal and business scenarios. This was a keya determining factor for the adoption of cloud-based data outsourcing solutions. However, even the outsourcing of datastorage in the cloud leads to new security challenges that must be carefully addressed. We propose a secure frameworkfor the storage and recovery of the subcontracted privacy protection in large archives of shared images. Our proposal isbased on IES-CBIR, a novel Encryption scheme of the image that presents image recovery properties based on content.The framework allows both encrypted storage and search using content-based image retrieval queries while preservingprivacy against honest but curious cloud administrators. We have built a prototype of the proposed framework,formally analyzed and tested its safety properties, and experimentally assessed its performance and accuracy ofrecovery. Our results show that IES-CBIR is probably safe, allowing more efficient operations that the existingproposals, both in terms of complexity of time and space, and opens the way to new scenarios of practical application.

International Journal of Innovative Research in Science, Engineering and Technology

Efficient Image Retrieval Using Cloud Repository

Now a day’s tourism industries are more profitable. Everyone wants to plan tours for their relaxation. But the majorityof people face the issue in time management and improper schedule. So they need some system which helps them to scheduletheir trip with proper time management. Such a system can help the user to get all the information related to the place.This paper gives a survey of various methods used by the researcher to enhance the traveling system for tourist location trackingand abstract view of the system which we are going to implement

Fulltext

International Journal for Research in Applied Science & Engineering Technology (IJRASET)

Smart Travel Scheduler: An Expert System for Tourists

Smart glasses are designed for all kinds of applications and can be employed in industrial applications, medical and healthcare, consumer, logistics, security, and government, etc. In practice, blind people identify objects or find out walk able paths using a white cane. In spite of a variety of such canes (long cane, guide cane, support cane) available, it doesn’t recognize what the actual object is. The guiding sticks give an idea about the objects that lie only in a limited area. Having a camera vision with the support of audio messages for the visually impaired ones gives them a better and more precise sense of their surroundings, especially in an outdoor environment. However, because of the high cost of such devices, the dependency of blind people on common people is consistent. This paper provides a new design of Smart glasses, that the user can wear as normal glasses. These devices are optical head-mounted devices that integrate camera and allow hands-free operations. The fundamental objective of smart glasses for people with normal vision is to blend human vision with the virtual world, producing a kind of ubiquitous computing. But, using this design, the camera placed on the device obtains the video equivalent to the point of view which will be processed for assisting the visually impaired user. There is no need for the user to hold the device in his hands or move it in the necessary position and the vision of the user is not occluded. It will provide a field of view up to 120 degrees.

School of Electrical Engineering

IOSR Journal of Engineering (IOSRJEN)

Low Budget Smart Glasses for Visually Impaired People

Retinal diseases like glaucoma, diabetic retinopathy, age-related macular degeneration, stargardt’s disease, retinopathy of prematurity that can lead to blindness manifest as artifacts in the retinal image. The term Diabetic retinopathy is the serious issue that is caused by the diabetes, which affects the eyes and results in blindness. It’s due to damage of the arteries and veins that are present in the fundus of the eye (retina) that is the origin of light sensitive tissues. Although DR can be prevalent now days, its prevention remains challenging. Visual analysis of the funds and consideration of color photographs Ophthalmologists directly examine the existence and severity of DR. This process is expensive as well as time consuming as there are huge number of diabetes patients worldwide. The automatic DR system is expanded to predict various related diseases that are analyzed.

International Journal for Research in Applied Science & Engineering Technology

Detection of Retinal Blood Vessels for Disease Prediction using Machine Learning

Extensive use of data and increasing sales by implementing recommender system by various retail and e-commerce companies through their website is tremendously boosted in current scenario. Recommendation systems is a software application that provide suggestions to the intended user regarding which products is buy and which is not to buy. This systems uses various filtering techniques to provide recommendations to the customers. Filtering techniques that helps in decision making of customers are most likely content-based filtering, CNN model filtering and hybrid filtering. In order to reduce information search time of user it is need to integrate the recommended facility in E-Commerce. Content-based filtering is used due to its suitability in the domain or in situations where the products are more than users. IDF Weighted word to vector model were used to determine whether a product is relevant or similar to a user's profile of interest. CNN model is used to find out image based similarities and both of this technologies integrated as a hybrid system and finally system give recommendation based on hybrid filtering system. This paper also gives an importance of an algorithm for providing recommendations or suggestions based on queries of users. Algorithms employ both IDF Weighted Word to vector model and CNN model. This review gives an overview of available data sets, methods for preprocessing data sets, recommendations techniques and challenges involved.

Journal of Emerging Technologies and Innovative Research

Survey of Classical and Advanced Techniques for Product Recommendations

Cloud Computing has been increasing in popularity over the past couple of years. There has been extensive use ofvarious software’s and applications with the cloud platform acting as the backbone for these activities. As more andmore organizations and individuals make use of the Cloud platform, the data warehouses that support the platformare heavily strained. Therefore, these warehouses are staffed full of employees that handle the cloud, this leads tothe data of the cloud to be open to attackers and also the people working there. Therefore, the security of the dataon the cloud is imperative, to this end, this paper proposes a model for an attribute-based encryption technique inwhich the public and secret key are generated from the hash key based on the user profile’s personal attributes,randomly. The random characters are essential for the generation of the private and public keys. The reverse cipheralgorithm also increases the security of the model by enabling stronger encryption.

International Journal of Advance Research and Innovative Iseas in Education

Securing Public Health Record Using Attribute Based Encryption for Data Storage in Cloud

Wireless Sensor Networks consist of several low-cost,low-energy sensor nodes that sense data about their cor-responding environment and transfer it towards the desti-nation through a sink or coordinator node. As the WSNsare power-constrained, thus eﬃcient mechanisms should beincorporated for achieving energy conservation to increasethe overall network lifetime by minimizing the network load.Clustering can be applied to divide the network into clusterswith each cluster having a cluster head where data collec-tion is performed. In many cases, the temporal or spatialdata collected by the sensor nodes within the same clustermight provide redundant values and thus increase the over-all size of data packets to be sent towards the Cluster-head.Thus, there is a need to aggregate the data at the Cluster-head such that redundancy can be removed and data can becompressed with less number of packets to be transmittedwithin the network. We provide a survey of various aggrega-tion models incorporated with the help of Machine Learningtechniques and also propose a Priority-based Data Aggre-gation (PbDA) scheme using machine learning in WSN.

International Journal of Pure and Applied Mathematics

Machine Learning for Data Aggregation in WSN:A Survey

Vehicle Selection Predictor is a new and important concept in transportation studies. In recent years, prediction model was designed for the prediction of prices of vehicles. In this project, we are trying to build a prediction model for vehicle selection based on its usage. In this project, we consider the problem of vehicle selection for transportation using a multicriteria decision-making approach. The problem includes several conflicting factors which are economic and technological factors. The vehicle has its own specifications/factors like load that it can handle, average of the vehicle, design of vehicle etc. Based on these factors the transport agency should choose a vehicle for a particular delivery. Hence, to predict the selection of vehicle depending on its specifications, the system will be designed by using machine learning algorithms. While designing the model feature selection is a very important aspect. This paper mainly focuses on feature selection and building the predictive model.

Transport Vehicle Selection Predictor

Web-based applications has gained universal acceptance in every field of lives, including social, commercial, government, and academic communities. Even with the recent emergence of technology, most of applications are accessed and controlled through web interfaces this work proposes a multistage log analysis architecture, which combines both pattern matching and machine learning methods. It makes use of logs generated by the application during attacks to effectively detect attacks and to help preventing future attacks. The architecture is explained in detail with a proof-of-concept prototype is implemented using pattern matching and Bayes Net for machine learning. Experiment outcomes show that the two-stage system has combined the advantages of both systems, and has improved the detection accuracy. The proposed work is significant in advancing web securities, while the multi-stage log analysis concept would be highly applicable to many intrusion detection applications. In proposed system we are use Intrusion detection technology on net banking application to detect various types of attack that affect net banking application.