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

Now a days,A biometrics techniques such as ﬁngerprints,palm prints,faces and irises recognition have been widely used in many different applications such as door access control system ,a secure personal authentication for computers,online banking, automatic teller machines for transaction and border-crossing controls system. but The research on ﬁnger vein recognition or authentication technology has become a new hot spot due to its superior security features and user acceptance in recent years.As Finger vein recognition uses the unique patterns of ﬁnger veins images to identify individuals at a high level of accuracy and security.The major concern in a Biometric Identiﬁcation System is its accuracy. In spite of the improvements in image acquisition and image processing techniques, the amount of research still being carried out in person veriﬁcation and identiﬁcation show that a recognition system which gives 0 percentage FAR (False Acceptance Rate) and FRR (False Rejection Rate) is still not a reality.In this work, we propose to formulate the framework for the ﬁnger vein feature extraction using multi-orientation Gabor ﬁlters. The morphological operations are further employed to enhance the extracted vein structures. The proposed method extracts the ﬁnger-vein pattern from the unclear image by using Gabor ﬁlter.Hence This paper will gives a new approach or technique to improve the performance of ﬁnger vein identiﬁcation systems which is presented in the literature.

World University root node

Engineering and Technology

International Journal of Engineering Research \& Technology (IJERT) 2 (6 {\ldots}

Extraction of Finger-Vein Patterns Using Gabor Filter in Finger vein Image Profiles

INTERNATIONAL JOURNAL OF ENHANCED RESEARCH IN MANAGEMENT AND COMPUTER {\ldots}

E-POCKET BASED PUBLIC TRANSPORT SYSTEM

International Journal of Computer Applications

Routing Protocols in Wireless Sensor Network: A Survey

CoRR

An Overview of the Research on Texture Based Plant Leaf Classification

With the recent advancement in the mobile technology, devices are equipped with location computing facility. Devices are mounted with real entities such as human, animals, vehicles etc. In Location Based Services, user carrying device seeks service and hence user's location information is compromised and can be misused by service providers. In this paper, we present the review and propose the enhanced mechanisms to protect the location privacy of mobile users. It necessary to observe that to get quality of service, user needs to send precise location, while to protect privacy, we need to have balanced view regarding revealing location to service provider. Quality of service, Performance, Energy consumption, Network bandwidth consumption and Privacy strength are the parameters of importance which should be the objectives of research while providing the location based services. © 2013 IEEE.

International Conference on Emerging Trends in Engineering and Technology, ICETET

Survey and review of location privacy techniques in location based services

Personalization is omnipresent everywhere in today's modern world applications. It is primarily employed to improve user experience by adapting and learning from the patterns and information extracted from the user. There are various methods of making a system learn from the user behaviour. This paper gives a review of some of the techniques used for user profiling and personalisation systems. The paper puts forth the characteristics and advantages of user profiling and why it is so essential in today's world, with specific reference to internet usage. It also explains which factors of the usage should be taken into consideration and the importance of these factors in user profiling. The paper elaborates on the studied techniques with respect to internet usage because of its ever-growing nature, complexity in learning from the vast source, adapting to changes in usage patterns and the ultimate objective of providing a better user experience while being on-line. The commonality and differences in various proposed techniques are also summarised and highlighted. © 2013 IEEE.

Sixth International Conference on Emerging Trends in Engineering and Technolog

Comparison of Personalisation Systems

Random Forest is an ensemble supervised machine learning technique. Based on bagging and random feature selection, number of decision trees (base classifiers) is generated and majority voting is taken for classification. For effective learning and classification of Random Forest, there is need for reducing number of trees (Pruning) in Random Forest. We have presented here systematic survey of pruning efforts of Random Forest classifier along with the required theoretical background. Most of the work for pruning takes static approach while recently dynamic pruning is being targeted. We have also generated a Comparison Chart by taking relevant parameters. There is research scope for analyzing behavior of Random forest, generating accurate and diverse base decision trees, truly dynamic pruning algorithm for Random Forest classifier, and generating optimal subset of Random forest. © 2012 IEEE.

Proceedings - 2012 International Conference on Data Science and Engineering, ICDSE 2012

Pruning of random forest classifiers: A survey and future directions

Wireless sensor network is an application specific network. There are various factors which affects reliability in Wireless Sensor Network some of them are energy consumption, high packet loss, congestion and large response time. There are different parameters, which affects query response time. Whenever Sink [Base Station] needs data, it sends query to source node and node response back to sink. In Wireless Sensor Networks (WSNs) query response time depends on number of parameters like data caching, routing algorithm, node deployment, topology, data availability, query aggregation, query processing, packet loss and congestion. This paper presents a survey of various approaches which help us to minimize query response time mainly for wireless sensor networks.