Manuscripts

Recent Papers

Research Paper

A Novel Scheme for Separable and Reversible Data Hiding in Encrypted JPEG Image using Forward Correction Code

Among various digital image formats used in daily life, JPEG is the most popular .Therefore, reversible data hiding (RDH) in JPEG images is important and useful for many application such as archive management and image authentication. Reversible data hiding in encrypted images (RDH-EI) are developed most techniques for uncompressed images, this paper provides a separable reversible data hiding protocol for encrypted JPEG bitstreams. Here a JPEG encryption algorithm is first proposed, which enciphers an image to a smaller size and keeps the format compliant to JPEG decoder. After a content owner uploads the encrypted JPEG bitstream to a remote server, a data hider embeds an additional message into the encrypted JPEG bitstream without changing the bitstream size. On the recipient side, the original bitstream can be reconstructed losslessly using an iterative recovery algorithm based on the blockingartifact. Though message extraction and image recovery are separable, anyone who has the embedding key can extract the message from the marked encrypted copy. A random error is introduced to obtain the PSNR and error values of different JPEG images and make a comparative study. A forward error correction technique is used for controlling errors. Experimental results show that the proposed method outperforms a previous work in terms of separation capability, embedding capacity and security.

Published by: Bushra MP, Naseeda P

Author: Bushra MP

Paper ID: V4I2-1152

Paper Status: published

Published: March 6, 2018

Full Details
Research Paper

Optimization of Surface Roughness, Material Removal Rate and Tool Wear Rate in EDM using Taguchi Method

In the present manufacturing scenario, EDM is the widely used non-traditional machining process which is used to machine hard materials such as alloys or composites. In the last few decades, there are lots of advancements in EDM which makes EDM more popular. There is a wide range of application of EDM in the aerospace, die-making and some other manufacturing sectors which require high precision. EDM is also called as high precision machining which can be used in the batch production where the traditional machining processes fail. In the last few years the developments in the new tool material, optimization techniques, and conductive ceramics have made some new research scopes in EDM. The aim of present study is to investigate the effect of input parameters like current, voltage and pulse-on-time on the Al-SiC (reinforced with 10% wt. of SiC). The output parameters for the process are MRR, TWR and surface roughness. It is found that the selection of input parameters plays an important role in the performance of the EDM.

Published by: Khushboo Kakkar, Neha Rawat, Anbesh Jamwal, Ankur Aggarwal

Author: Khushboo Kakkar

Paper ID: V4I2-1140

Paper Status: published

Published: March 6, 2018

Full Details
Research Paper

An Optimized Classification of Human Cancer Disease for Gene Expression Data

Classification of cancer is determined the appropriate treatment and helps to determine the prognosis. The Existing System was presented to classify the human cancer diseases predicted on the gene expression profiles. The existing approach is initially, the Information Gain (IG) is utilized for feature selection and Genetic Algorithm (GA) is used for feature reduction. Finally the Genetic program is utilized for classifying the types of human cancer. However the existing approach has high computation time and required large amount of computational resource. To overcome this issue in this paper presented the Cuckoo Search (CS) optimization algorithm to optimize the threshold value of the features determined by the Information Gain (IG) and then Genetic programming (GP) is used for enhancing the performance of classifying the human cancer. The proposed cuckoo search approach is nature inspired behavior and breeding process of cuckoo bird’s optimization algorithm for generation of the global code book with one tuning parameter and it’s applicable for both linear and non linear problems. The performance of the proposed approach is evaluated in terms of Classification Accuracy, Specificity and Sensitivity.

Published by: K. Yamunadevi, R. Nagaraj

Author: K. Yamunadevi

Paper ID: V4I2-1137

Paper Status: published

Published: March 6, 2018

Full Details
Research Paper

Gravitational Current

The weakest force ever known to us is the gravitational force but on the other side it is the only force which binds our universe. According to Sir Isaac Newton, gravity acts between two bodies placed at some distances and have some stationary mass, but what if the bodies have only moving mass, what do you think, the gravitational force would be same in this case as well, as it was in case of stationary mass.

Published by: Manjeet Singh, Nakul Singh, Kartikey Chauhan

Author: Manjeet Singh

Paper ID: V4I1-1244

Paper Status: published

Published: March 6, 2018

Full Details
Research Paper

Smartphone and Wheelchair Control for Bedridden and Semi-Paralyzed People using Brain-Control Interface (BCI)

The community of semi-paralyzed and bedridden people account for almost 35 million of the world’s population. People with spinal cord injuries or nerve problems cannot live normal lives despite their minds remaining unaffected. They require constant attention and cannot be independent. They need assistance to even move around on a wheelchair or make use of ordinary devices like smartphones, which are an integral part of the modern world. The restrictions in the independent use of wheelchairs and smartphones do not allow the physically disabled people to contribute to the society effectively. Current technological solutions to help paralyzed and elderly people having physical disabilities require the use of custom made devices, which use sensors to detect muscle movement to interpret actions and thus control their wheelchair and any computing device they use. They are however very expensive and cannot cater to a general population of physically disabled people. Our solution is the use of a Brain-Computer Interface, which is a novel technology that enables people to control devices using their brainwaves. An electroencephalography (EEG) headgear is used to capture the brainwaves and transmit it to a smartphone and Arduino board to be interpreted and thus control them. This project hopes to enable wheelchair movement using BCI-Arduino communication. A specialized smartphone interface will provide a cursor in the phone, which can be controlled using the BCI headgear. The smartphone interface and the Arduino-wheelchair will be compatible with a wide range of BCI headgear. The use of BCI technology in this project will provide an economical and generalized solution that will cater to the entire paralyzed and elderly community while opposed to the current solution, which is expensive and custom made for each individual.

Published by: B. Vidya Sairam, N. Vijaykumar, Siddartha Addanki, Sai Prapanch A, Dr. Anand Kumar K. M

Author: B. Vidya Sairam

Paper ID: V4I1-1442

Paper Status: published

Published: March 3, 2018

Full Details
Research Paper

Fake News Detection

Fake news, one of the biggest new-age problems has the potential to mould opinions and influence decisions.The proliferation of fake news on social media and Internet is deceiving people to an extent which needs to be stopped.The existing systems are inefficient in giving a precise statistical rating for any given news claim. Also, the restrictions on input and category of news make it less varied. This paper proposes a system that classifies unreliable news into different categories after computing an F-score. This system aims to use various NLP and classification techniques to help achieve maximum accuracy.

Published by: Manisha Gahirwal, Sanjana Moghe, Tanvi Kulkarni, Devansh Khakhar, Jayesh Bhatia

Author: Manisha Gahirwal

Paper ID: V4I1-1432

Paper Status: published

Published: March 3, 2018

Full Details