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Research Paper

Automatic vehicle plate reorganization and detection by image processing and datamining approach

Automatic Vehicle Plate Recognition (AVPR) is the extraction of vehicle license plate information from an image or sequence of images. From the past thirty years, AVPR is becoming the challenging and interesting area of research. AVPR systems include a wide range of applications. Numerous real-world applications such as electronic toll collection, automatic parking management, access control, radar-based speed-control, border control, criminal pursuit, traffic law enforcement, etc. have been benefited from it. A lot of commercial AVPR systems are available today and yet there are many challenges and issues in accurate recognition of license plates. In India, number plate standards are rarely practised. Licence plates recognition has many problems like unnecessary text, different font size and font type, blur, skew, environmental factors etc. The variations of the licence plate types or environments cause challenges in the recognition of number licence plates. The major objective of this thesis is to develop a robust, accurate and reliable automatic vehicle license plate recognition system. Our suggested approach is performed in three phases: In the first phase, the input image is pre-processed. Character regions are extracted in the second phase, and in the third phase, recognition of extracted characters is performed. The present work has been performed to recognize Indian licence plates

Published by: Rangrajan Chaurasiya, Dr. Rajat Joshi

Author: Rangrajan Chaurasiya

Paper ID: V7I3-2034

Paper Status: published

Published: June 22, 2021

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Research Paper

Energy Efficient Cluster base routing approach by GWO and Tabu search optimization with Cluster Topology in Wireless sensor Network

A wireless sensor network is a group of nodes that are connected to each other by wireless connection. These types of networks work on the dynamic topology of the network because the positions of nodes in the wireless network are changing continuously. f WSN is increasing rapidly and simultaneously this technology is facing various major challenges of energy constraints depending upon the limited lifetime of batteries as each of its node relies on energy demand for performing the basic operational activities which has become the major reason behind the failure in wireless sensor networks. One node interruption may result in shutting down the overall operation of the system. The nodal operation relies on active TLOde, idle, and sleeping TLOdes. In case of active TLOdes, energy is consumed while transmitting or receiving the data. In case of idle TLOde, the node consumes the energy same as consumed in active type node whereas in case of sleeping TLOde, the node gets shut down in order to save the energy. To build the life expectancy of WSN the usage of vitality in a productive way is a TLOst normal issue.

Published by: Amardeep Kour, Dr. Rajat Joshi

Author: Amardeep Kour

Paper ID: V7I3-2033

Paper Status: published

Published: June 22, 2021

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Research Paper

Detection of plant leaf disease using image segmentation and Convolution Neural network and machine learning approaches

Productivity in agriculture is a big concern. Disease is important in agriculture because it occurs naturally in plants. if good precaution is not taken, so these plants and quantity is diminished. h. As a primary goal of the new Proposed architecture, the use of disease and classifier features is needed to identify proper disease features. The primary aim of successful design is residual learning such that vital facets of firm learning are also improved. Non-linear discriminative learning at the base of a neural network experiments were run in the Village with the measurements of 11 different diseases was designed using the CNN features, which yielded an accuracy rate of 98% on the validation sets.

Published by: Tasleema Jan, Dr. Rajat Joshi

Author: Tasleema Jan

Paper ID: V7I3-2032

Paper Status: published

Published: June 22, 2021

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Research Paper

Improved DoS attack detection and Prevention by SVM based optimize Leach Routing and clustering approach

It improves the packet delivery ratio of the network. The following measures were used to assess the success of a previous strategy: packet delivery ratio, throughput, number of flooded packets, and residual network energy. The findings correspond to reliable and secure data transfer between source and destination by addressing DoS assaults. Indeed, a particularly fatal attack is the Wormhole denial-of-service (DoS) attack, in which attackers establish low-latency connections between two network nodes.

Published by: Simranjeet Kour, Dr. Rajat Joshi

Author: Simranjeet Kour

Paper ID: V7I3-2031

Paper Status: published

Published: June 22, 2021

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Case Study

The rise of cyber crime and need of cybersecurity

Network safety adopts a substantial part in the field of data innovation .Receiving the data have gotten conceivably the greatest test in the present day. At whatever point we contemplate the network safety the main thing that rings a bell is 'digital wrongdoings' which are escalating enormously step by step. Different Governments and organizations are partaking in numerous actions to forestall these cybercrimes. Other than different dealings, network safety is as yet a foremost worry to many. This paper for the most part, centres around complications encountered by network safety on the most recent developments .It additionally centres around the most recent of the digital protection procedures, moralities and the designs altering the essence of network protection.

Published by: Aksh Yadav, Advay Surve, Siddhant Singh, Harsh Singh, Poonam Vengurlekar

Author: Aksh Yadav

Paper ID: V7I3-1982

Paper Status: published

Published: June 22, 2021

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Research Paper

Pollution Controlling Bricks

Air pollution, particularly in crowded cities, is increasing, mainly due to industrial activity and transportation. A crucial element in construction, bricks are the most important materials in the world.Therefore, one possible approach to reduce pollution is to use“smart” bricks, particularly those that incorporate photocatalytic structures in them. Incorporating Titanium dioxide (TiO2) in bricks could degrade and reduce various pollutants under ultraviolet sun radiation. TiO2-infused bricks would also maintain their optical characteristics for far longer than traditional bricks. This study evaluated the ability of bricks containing TiO2to degrade organic molecules, as assessed by the concrete’s ability to degrade Lithol Rubine bk dye. The amount of TiO2in the concrete samples was 0%, 2%, 4% of the clay. The resulting bricks were exposed to sunlight for 24, 48, and 72 hours. All TiO2 specimens significantly degraded the Lithol Rubine bk dye, demonstrating the potential of this approach to benefit the smart construction industry and, as a result, fight certain types of air pollution.

Published by: Janmesh Bhoir, Shubham Patil, Pratish Patil, Amey Patil, Shivraj G. Patil

Author: Janmesh Bhoir

Paper ID: V7I3-2018

Paper Status: published

Published: June 22, 2021

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