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

World University root node

Engineering and Technology

International Journal of Advanced Research in Computer Engineering \& Technology (IJARCET)

A survey on keylogger: A malicious attack

With the popularization of digital cameras and therapid development of the Internet, number of images and videostaken and its broadcasting is growing explosively. The aestheticsevaluation of video media can be used as useful clue to improveuser satisfaction in many applications like search; broadcastingand recommendation. To automatically assess the quality ofvideos with a strong correlation with human perception is achallenging task. There are two different challenges that exist inthis task: First one is, there is no any publically benchmarkeddatasets available till date and second one is lack of standard videoshooting techniques.

International Journal of Advanced Research in Computer Engineering & Technology

Classification of video media: The aesthetics way

Palm print is a unique and reliable biometric characteristic with high usability. With the increasing demand of highly accurate and robust palm print authentication system, multispectral imaging has been employed to acquire more discriminative information and increase the anti spoof capability of palm print. The experimentation for this project is done using PolyU palm print Database. Palm print images were collected from 250volunteers, including 195 males and 55 females. The palm print features are extracted using stockwell transform. Some of the significant results have accuracy of 99% and precision 91%.

Proceedings - 1st International Conference on Computing, Communication, Control and Automation, ICCUBEA 2015

Palm print based person identification

The texture which is in motion is known as Dynamic texture. As the texture can change in shape and direction over time, Segmentation of Dynamic Texture is a challenging task. Furthermore, features of Dynamic texture like spatial (i.e., appearance) and temporal (i.e., motion) may differ from each other. However, studies are mostly limited to characterization of single dynamic textures in the current literature. In this paper, the segmentation problem of image sequences consisting of cluttered dynamic textures is addressed. For the segmentation of dynamic texture, two local texture descriptor based techniques and Lucas-Kanade optical flow technique are combined together to achieve accurate segmentation. Two texture descriptor based techniques are Local binary pattern and Weber local descriptor. These descriptors are used in spatial as well as in temporal domain and it helps to segment a frame of video into distinct regions based on the histogram of the region. Lucas-Kanade based optical flow technique is used in temporal domain, which determines direction of motion of dynamic texture in a sequence. These three features are computed for every section of individual frame and equivalent histograms are obtained. These histograms are concatenated and compared with suitable threshold to obtain segmentation of dynamic texture. © Springer International Publishing Switzerland 2015.

Advances in Intelligent Systems and Computing

Dynamic texture segmentation using texture descriptors and optical flow techniques

Weather monitoring has become a quintessential aspect in a variety of fields. Often the challenge lies in fetching accurate information from the site. Having weather information regarding just a particular city isn't sufficient as the weather changes are brisk. In a large city, weather conditions vary from region-to-region. Zone-specific information is needed during such scenarios. Crowdsourcing can be largely influential in such cases. By acquiring resources from a group of service providers, it can aid in the easy retrieval of weather parameters. The most significant players in this approach are the Telecom Service Providers, who have a pool of infrastructure in the form of towers and grids. This infrastructure can be coupled with wireless weather stations to provide real-time weather data. In this paper, we propose a weather monitoring system which is a confluence of embedded systems, crowdsourcing and telecom infrastructure. © 2015 IEEE.

2015 International Conference on Information Processing (ICIP)

Zone specific weather monitoring system using crowdsourcing and telecom infrastructure

Understanding the user and his interests is one of the major research areas towards understanding the web today. Many systems and approaches have been proposed in literature, to try and get information about the user's interests by user profiling. Various interest indicators have also been proposed in literature that helped in giving the relevant information about the user and his interests. Having the maximum number of interest indicators and ordering them according to their preferences will make a difference in providing the more relevant information to the user. In this paper we give the relative ordering of various user interest indicators that will help us to build the user profile implicitly which will help in recommending relevant information to the user with high accuracy and confidence. © 2015 IEEE.

2015 International Conference on Pervasive Computing (ICPC)

Capturing, understanding and interpreting user interactions with the browser as implicit interest indicators

Wireless sensor Networks have many promising applications for monitoring and store critical region information, such as military surveillance and tracking endangers target. Therefore it is necessary to provide wireless sensor network not only with the acceptable reliability of services but also provide adequate level of security. Protecting source location becomes important and also difficult to implement in case secure wireless sensor networks are gives their operating constraint. In existing solution defend the leakage information from a limited local adversary who can only monitor network traffic in small region, while the global adversary can monitor the large network traffic. We proposed, In Sensor networks use random walk path and generate fake packet to make hard for an adversary to trace real information in network. We have required setting time for a particular node for activating path on that time period to confuse for global adversary. We are deployed eavesdropping active and passive, malicious node, black-hole, gray-hole, faulty node in network simulation. In black hole, gray-hole attacks, compromised node drops all the packets forwarding through it. The simulation result shows that the schema improves the safety time, secure time compared to an existing method. We had analyzed the ability of our proposed scheme to withstand different attacks and demonstrate. Our main aim is to focus on safety time, security time as a major parameter. We can achieve comparable privacy protection, routing Load normalization, packet delivery ratio, throughput and end to end delay as a minor parameter. © 2015 IEEE.

2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT)

Safety time improving for source node in wsn

Mobile users access location services from a location based server. While doing so, the user's privacy is at risk. The server has access to all details about the user. Example the recently visited places, the type of information he accesses. We have presented synergetic technique to safeguard location privacy of users accessing location-based services via mobile devices. Mobile devices have a capability to form ad-hoc networks to hide a user's identity and position. The user who requires the service is the query originator and who requests the service on behalf of query originator is the query sender. The query originator selects the query sender with equal probability which leads to anonymity in the network. The location revealed to the location service provider is a rectangle instead of exact co-ordinate. In this paper we have simulated the mobile network and shown the results for cloaking area sizes and performance against the variation in the density of users. © 2014 IEEE.

9th International Conference on Industrial and Information Systems, ICIIS 2014

Synergetic cloaking technique in wireless network for location privacy

Human being uses multiple modes like speech, text, facial expression, hand gesture, showing picture etc. for communication in between them. The use of this ways for communication makes human communication more simple and fast. In previous years several techniques are used to bring the human computer interaction more closely. It costs more for development and maintenance of Multimodal grammar in integrating and understanding input in multimodal interfaces i.e. using multiple input ways. This leads to improve and investigate more robust algorithm. The proposed system generates the grammar from multiple inputs called as multimodal grammar and evaluates grammar description length. Furthermore, to optimize the multimodal grammar proposed system uses learning operators which improves grammar description.

International Journal on Recent and Innovation Trends in Computing and Communication

Grammar Generation and Optimization from Multiple Inputs

Cloud Computing is an emerging technique works on distributed computing mechanism. Cloud computing has reengineered the concepts in information Technology infrastructure. Cloud Computing provides steadfast, on requirement infrastructure over the globe and within shortest possible time span and reduces investment in IT infrastructure. In cloud computing Scalability & Load Balancing are key factors as huge data is created and maintained & better utilisation of in such dynamic environment. Achieving scalability with load balancing is pre requisite in such Big Data environment. Various techniques have been developed in the field so far and are in process of development. In this paper we studied and evaluated various techniques for load balancing and scalability and presented the methodologies explored so far. There are various load balancing & Scalability techniques developed so far and research on the same is increasing significantly. This paper explores different techniques with snapshot on methodologies used, key parameters to be considered and limitations and future scope and development in the load balancing techniques with maintaining scalability in details. This paper reveal the research on the load balancing techniques, will surely be useful for future development.