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Research Paper

Autonomous and self-driving car

Today, in twenty-first-century Information Technology is revolutionizing everything around us. All our daily drivers, things we depend on, things which makes our lives easy are getting smart day by day; the automobile industry is no behind and is moving with great pace. We are seeing intense growth in technology that is powering today’s automobiles enabling us to rely heavily on the system, improving our driving abilities, minimizing the chances of accidents and saving human efforts and lives in the end. With technological advancements, application of Artificial Intelligence and Machine Leaning and powerful hardware to drive the system, not in distant future, we will see the vehicles that can drive themselves on urban roads with heavy traffic scenarios relieving humans from putting their immense efforts and precious time in driving the vehicles and allowing them to invest the time in doing some productive work. There will be a time in future where roads will be grids for self-driving cabs, running with no drivers, when there will be no traffic jams or conjunctions because of rough driving, when meeting will be conducted in cars, your car will drop your kids to schools, take you to hospital in emergency situations and it will be your complete infotainment system. However, there remain many facets to polish when it comes to complete self-driving experience. We still have hurdles to cross such as extreme environmental conditions, pedestrians, ethical dilemmas of decision making, etc.

Published by: Sathe Vaibhav, Archana Pai

Author: Sathe Vaibhav

Paper ID: V4I4-1255

Paper Status: published

Published: July 16, 2018

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Review Paper

Black hole attack analysis in vehicular ADHOC Network

The use of wireless links furnishes a VANET unsafe to malicious attacks for example Denial of Service, black hole attack, Sybil attack, selective forwarding and altering routing information. In Vehicular Networks are contemplated as the unique class of wireless networks, also called as VANET. It is a major part of Intelligent Transport System (ITS). VANET technology is recognized for enhancing road safety and transport efficiency. But, there are huge security issues in VANET, therefore, there must be a reliable way for communication which is quite tedious and important concern. In this review article, we studied Black Hole attacks under CBR/UDP traffic pattern using various protocols from various research papers of high quality. There are possibilities of various attacks like an active and passive attack on the network to access data. As we know there are many issues in VANET and especially security issues. Our research work will be carried out using NS-2 simulator. Besides this, a detailed study of the attack examined because there are abundant numbers of attack available. These attacks are divided into an active and passive attack and further, these two are classified. In this review paper, we convoluted the diverse class of attacks and their depth in an ad-hoc network.

Published by: Krishan Kumar, Sonia Sharma

Author: Krishan Kumar

Paper ID: V4I4-1271

Paper Status: published

Published: July 16, 2018

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Research Paper

Higher dimensional cosmological models with variable gravitational and cosmological constants

A higher-dimensional cosmological model with the gravitational and cosmological constants generalized as coupling scalars in Einstein theory is considered in the framework kaluza-klein theory of gravitation. A general method of solving the field Equations is given. Exact solutions for matter distribution in cosmological model satisfying G=G_o (R/R_o )^mis presented. The corresponding physical interpretations of the cosmological solutions are also discussed.

Published by: Dr. Salam Kiranmala Chanu

Author: Dr. Salam Kiranmala Chanu

Paper ID: V4I4-1264

Paper Status: published

Published: July 16, 2018

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Research Paper

Medical Image Denoising and Enhancement using DTCWT and Wiener filter

Image denoising is the process to remove the noise from the image which contains noise. Wavelet transform technique is a unique mathematical manipulation framework used for medical image denoising and enhancement implementation. The wavelet techniques are effective to remove the noise due to their ability to capture the energy of a signal in a few energy transform values. A dual-tree complex wavelet transform is used to present the image enhancement process. The proposed technique has the cascaded structure of DTCWT used for generation of different frequency bands for analysis. In this paper, a denoising approach based on dual-tree complex wavelet and Wiener filter technique is used. The result has a better balance between smoothness and accuracy than the DWT and is less redundant than SWT. We used the SIM (Structural Similarity Index Measure) along with PSNR (Peak Signal to Noise Ratio) to assess the quality of denoised images.

Published by: Prachi Mukund Tayade, S. P. Bhosale

Author: Prachi Mukund Tayade

Paper ID: V4I4-1263

Paper Status: published

Published: July 16, 2018

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Research Paper

Image Enhancement using DCTWT and Interpolation Techniques

As image enhancement is the main issue for biomedical images, this paper aims to present the methods using wavelets to enhance it. Digital image processing plays a vital role in today's new digital imaging devices. To perform the operation on the low-quality input images, frequency domain manipulations are widely used. Image enhancement is one of the types of processing in digital image processing domain. To perform this operation sophisticated wavelet transformation is used which has better enhancement as compared to their spatial domain counterpart. In the proposed paper, a novel technique for the biomedical image, general images up to certain MB enhancement using dual-tree complex wavelet transform is used. Dual-tree complex wavelet is a parallel combination of two discrete wavelet transform which has the property of shift invariance which results in lesser artifacts generated in output enhanced image. Interpolation is using for high precision in this paper B-spline interpolation give better results. To perform this operation and finding out the best possible transform among the available wavelet family. Proposed implementation has three transforms namely symlet, D'mayer, daubechies, and haar transform are used. The input image is first decomposed using wavelet transform to generate frequency bands, values of PSNR, Q-index and SSIM are calculated for study enhancement results.

Published by: Vasudha Patil, S. P. Bhosale

Author: Vasudha Patil

Paper ID: V4I4-1250

Paper Status: published

Published: July 16, 2018

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Others

Non-Market issues in WTO: With special reference to China

The Multilateral Trading System was created in the 1940`s with the GATT, containing clear objectives to liberalize and promote trade as an instrument of economic development. Aiming to become universal, the Multilateral Trading System gave support and incentives to both market and Non-Market Economies (NMEs) to participate in its activities. With the strengthening of the Cold War, however, NMEs left the negotiations leading to General Agreement on Trade and Tariffs (GATT).

Published by: Seyedehsaeideh Kazemi, Dr. Ramesh

Author: Seyedehsaeideh Kazemi

Paper ID: V4I4-1228

Paper Status: published

Published: July 16, 2018

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