A Watermarking Approach In DWT Domain Using Symlet and Coiflet Filters
Digital watermarking is the act of hiding a message related to a digital signal (i.e. an image, song, video) within the signal itself. It is a concept closely related to steganography, in that they both hide a message inside a digital signal. Watermarking has a number of uses in security, authentication and registration purposes. Image Watermarking is a widely sought after research area and many researchers have done extensive study on various aspects of digital image watermarking. Out of those techniques DWT based techniques are quite popular. In this research work a novel algorithm has been presented for Digital Image Watermarking, which uses the DWT technique to perform Watermark embedding and extraction process. The wavelet filter are of many kinds and erstwhile research have been mostly carried on ‘haar’ and ‘daubechies’ wavelet filter. In this research work, ‘symlets’ and ‘coiflet’ filters have been used. A comparative study of results in terms of PSNR and MSE with other filters is also available to give a better reasoning and insight.
Published by: Akanksha Singh, Mohd. Saif Wajid
Author: Akanksha Singh
Paper ID: V3I3-1230
Paper Status: published
Published: May 13, 2017
Static Signature Matching Using LDA and Artificial Neural Networks
In recent years, the importance of biometrics in authentication and identification has emerged. Both government and private agencies make use of automated human identification using different biometric traits. Signature based authentication has been used for many years. This paper presents an automated static signature recognition approach. We have used Gabor filter for preprocessing of signature images. For matching purpose, artificial neural networks are used, which are trained by the back-propagation learning algorithm. The results show that the given approach yields a good solution to automated signature recognition problem because of its high accuracy (99.5%) and FRR (68%). On the other hand, computational time of the proposed technique is less than the previous approaches.
Published by: Shaina Kedia, Er. Gaurav Monga
Author: Shaina Kedia
Paper ID: V3I3-1235
Paper Status: published
Published: May 13, 2017
Neurogenic Pulmonary Oedema- Case Report
Neurogenic pulmonary edema (NPE) is an increase in pulmonary interstitial and alveolar fluid that is due to an acute central nervous system injury and usually develops rapidly after the injury. It is still underappreciated in the clinical arena. It's sporadic and relatively unpredictable nature and a lack of etiologic-specific diagnostic markers and treatment modalities may in part be responsible for its poor recognition at the bedside. Neurogenic pulmonary edema in pediatric age group is largely underreported. Three patients presenting with acute onset neurogenic pulmonary edema following head trauma have been described by Neurogenic pulmonary edema in childhood by J. Ross Milley, Stephen K. Mark C. Rogers Nugent (1). We present a case of neurogenic pulmonary edema in a ten yr old female child following recurrent meningitis
Published by: Dr. Saurabh Karmani, Ghuliani Ranjit, Faiz Ahmad
Author: Dr. Saurabh Karmani
Paper ID: V3I3-1232
Paper Status: published
Published: May 13, 2017
A Comparative Study of AAC Block & Clay Brick Under Gravity Loading For Buildings
Brick is the most commonly used building material in construction. AAC blocks are new construction material which is very light in weight. Compare to same size of (200mm x 100mm x 100mm,its 3 times lighter than traditional brick (clay brick);it means it covers more area in same weight as clay brick gives in one bricks. In this paper; attempt has been made to replace the clay brick with light weight AAC blocks. The usage of AAC block reduces the cost of construction up-to 25% as reduction of dead load of wall on beam makes it comparatively lighter members. The use of AAC block also reduces the requirement of materials such as cement and sand up-to 55%.
Published by: Alim Shaikh, Utkarsh Jain, Hussain Narayangarhwala, Suraj Pawar, Kanhaiya panwar, Narendra Choudhary, Archit Khandelwal, Mohd. Shadab Hussain
Author: Alim Shaikh
Paper ID: V3I3-1315
Paper Status: published
Published: May 12, 2017
Cloud Federation Management and Beyond: Requirements, Relevant Standards, and Gaps
The big data requests make the cloud computing assets insufficient as well as incapable of catering the needs raised by big data requests. Business structures and the look enhancing factors have to reshape and rebuild their dynamic asset scaling abilities to modify it according to the needs. In order to tend to this administrative issue combined mists act and provide a stage. A cloud organization arrangement is proposed, planned as well as presented which caters to the need of the collaboration of the cloud suppliers in offering cloud IaaS administrations. Due to the fact that the proposed league development diversion is developed and presented, a cloud alliance arrangement system that empowers the cloud suppliers to progressively frame a cloud organization amplifying their benefit is proposed and presented. Moreover, a steady cloud alliance structure is consistently delivered, which is, the partaking cloud suppliers in the league which doesn't have motivating forces to split far from the organization. The performance and occurrence of broad examinations lead to the breaking down of various attributes pertaining to the project. The steadiness of the cloud organization acquired by our proposed system is clearly depicted by the consequences, returning high benefit for the partaking cloud suppliers.
Published by: Amit Singh, Anand Singh, Jackulin Mahariba
Author: Amit Singh
Paper ID: V3I3-1318
Paper Status: published
Published: May 12, 2017
Robust Technique for Extracting Deblur Image Using Fuzzy Logic Approach from Impulse Noise
Image processing is very crucial in today world because of various noises, attacks, and many more problem faced by an image from a transmitter to the receiver side. By applying various algorithms and filters we can remove such type of noises and attacks. Blur detection techniques are very helpful in real life application and are used in image segmentation, image restoration, and image enhancement. Blur detection techniques are used to remove the blur from a blurred region of an image which is due to defocus of a camera or motion of an object. Blurring is a form of bandwidth reduction of an ideal image owing to the imperfect image formation process. It can be caused by relative motion between the camera and the original scene, or by an optical system that is out of focus. Deblurring techniques are basically used to sharp an image using different methods & parameters so that we can the abundant amount of knowledge. As we know there are various types of noises occurred in an image and to remove various techniques are used. Every technique is suitable for a particular noise and we cannot apply randomly to remove a particular noise. With advancement of time old technique are replaced by advanced method and today Fuzzy Logic is much more appreciated due to simple logic function and it is fourth generation technique
Published by: Preeti, Sachin Suryan
Author: Preeti
Paper ID: V3I3-1314
Paper Status: published
Published: May 11, 2017
