Monitoring Traffic Signal Destructions Using SVM Classifier
Typically vehicles are generally in movement so number plate detection from vehicles becomes very difficult problem due to possession of images, next to with that number plate may have other designs and some more additional stickers also. within this paper, we have taxing our process for number plate detection which includes many steps, the images of the vehicle’s number plate are composed from the car parking areas and from the network. Firstly, pre-processing of giving input sampled similes are done then feature drawing out of those pre-processed images by applying convolves Gabor and Zonal based algorithm. After that morphological operations are made to find the numbers and also to the segmentation of images, every single character is segmented parallel processing histogram. All the features of every number are designed using zonal based approach. The features are used as put in to the neural networks for quality identification.
Published by: Shruthi .U, Prof. Srinivasalu .G
Author: Shruthi .U
Paper ID: V3I3-1459
Paper Status: published
Published: June 5, 2017
Under Water Image Enhancement by Color Convolution with Total variation
Due to concern about the current state of the world’s oceans, several large scale scientific projects have begun to investigate the condition of our oceans. These projects are making use of underwater video sequences to monitor marine species. The move to using underwater video monitoring introduces labor intensive manual processing techniques. This leads to the need for an automated system capable of processing the data at a much greater speed. This thesis investigated whether the development of suitable image processing techniques could be used for preprocessing underwater images which enhance the image. The main objective of this thesis reduce the noise ratio and increase the PSNR of image. In underwater situations, clarity of images are degraded by light absorption and scattering. This causes one color to dominate the image. In order to improve the perception of underwater images. Improve the color noise by convolution method which reduce the color blurriness and total variation (TV) improve the noise after blurriness we get the significance improvement in PSNR from existing method approximate multiple five increment of PSNR
Published by: Karamjit Kaur, Rajnish Kansal
Author: Karamjit Kaur
Paper ID: V3I3-1466
Paper Status: published
Published: June 5, 2017
A Trinity Approach for Secure Image Access and Retrieval in Cloud
Images play an important role in human’s day to day life and it consumes much more space for storage rather than other formats. Hence, the need for cloud storage outsourcing arises. The Privacy of user and transfer of images in the network is the main concern. For privacy-preservation purposes, sensitive images, such as medical and personal images are needed to be encrypted before outsourcing, which makes the CBIR technique on plaintext realm to be inoperative. To ensure user privacy, a keyword based technique is introduced to provide individuality for the users. User validation for accessing their images from the cloud is provided by generating an OTP. The cryptography and segmentation techniques are upholding image security during transfer. Additionally, the illicit publication of user images is recognized with the help of watermark extraction.
Published by: T. E Bavisha, Ms. M. Madlin Asha
Author: T. E Bavisha
Paper ID: V3I3-1468
Paper Status: published
Published: June 5, 2017
Fingerprint Based Universal Debit Card
We are designing the system which will read the AADHAR CARD number which will act as a UNIVERSALDEBIT CARD. Using this card automatically it will deduct the ticket charges from your account. So, the passenger doesn’t have to wait for long time in a long queue. Due to its transparency, we can keep tab on corruption. Using this system we can reduces human interference which effectively encourage corruption. It will make overall transaction digital and transparent. This transparency in money transaction will reduce scope of corruption. It will also help to eradicate. Exploitation which otherwise may occurs when transaction is through notes. Moreover this project can be major step towards success of Digital India drive of government.
Published by: Dhonddev Suhas, Gajanan Deshmukh, Vishal Joshi, Nitin Dawande
Author: Dhonddev Suhas
Paper ID: V3I3-1460
Paper Status: published
Published: June 3, 2017
Study of Hopfield Neural Network for Noisy Random Patterns Using Evolutionary Approach
In this paper, a vigorous attempt has been made to study Hopfield neural network for storing and later recalling of random patterns using conventional hebbian learning rule and genetic algorithm. Storing of these patterns in the network is done using Hebbian learning rule followed by recalling of these patterns on presentation of distorted input patterns is done using both the methods i.e. Hebbian rule and genetic algorithm. The optimal weight matrix obtained is used to generate new weight matrices for the efficient recalling of prototype input patterns. Performance evaluation of the network is done on the basis of pattern recall with maximum noise present in patterns. The results thus obtained shows that the recall of these random patterns is more successful by using genetic algorithm.
Published by: Srishti Gangwar, T. P Singh
Author: Srishti Gangwar
Paper ID: V3I3-1451
Paper Status: published
Published: June 3, 2017
Intrapleural therapy for the prevention of recurrent spontaneous pneumothorax-A Randomized Comparative Evaluation of Bleomycin Pleurodesis & Autologous Blood Pleurodesis
Intrapleural therapy for the prevention of recurrent spontaneous pneumothorax-A Randomized Comparative Evaluation of Bleomycin Pleurodesis & Autologous Blood Pleurodesis Mudassir A. Khan, M. Akbar Bhat, A. Majeed, Naveed Khan, Faheem, Hilal, Saima N, Asif M. BACKGROUND: Pneumothorax is free air in pleural space i.e. between visceral and parietal pleura. Among various treatment options for recurrent pneumothorax, one is chemical pleurodesis; intended to achieve a symphysis between parietal and visceral pleura, in order to prevent accumulation of air (pneumothorax) in the pleural space. OBJECTIVE: Our objectives in this study were to evaluate the efficacy of autologous blood pleurodesis in the management of persistent air leak in primary spontaneous recurrent pneumothorax and to compare the efficiency, side effects, cost and complications of autologous blood pleurodesis vis a vis bleomycin pleurodesis. STUDY DESIGN: It was a prospective randomized comparative evaluation of autologous blood & bleomycin pleurodesis involving patients with persistent air leak resulting due to primary spontaneous recurrent pneumothorax. We followed the patients for a period of 1-22 months with average follow up of 11.766 months. METHODS: The study entitled, “Intrapleural therapy for the prevention of recurrent spontaneous pneumothorax-A Randomized Comparative Evaluation of Bleomycin Pleurodesis & Autologous Blood Pleurodesis” was carried out in the department of CVTS, SKIMS Srinagar Kashmir from May 2010 to Oct 2012. Total of thirty (30) patients with primary spontaneous recurrent pneumothorax were included in the study; 16 patients in Study Group (receiving autologous blood) & 14 patients in Control Group (receiving bleomycin). On an average 54.7ml (1ml/kg body weight) of peripheral venous blood taken from the patient's arm vein was immediately injected into the pleural cavity via the chest tube & chest tube was clamped for 1-2hrs. In bleomycin pleurodesis at 15 min after instillation of 20 ml of lidocaine 1%, about 55.7 units (1 iu/kg body wt.) of bleomycin in 100 ml of normal saline were instilled into the pleural cavity via the chest tube and the tube clamped for 1-2hrs. RESULTS: One (6.3%) patient in the Study group had failure of cessation of air leak after blood patch pleurodesis. Hence the success rate of cessation of air leak in Control group was 100% while as it is 93.7% in Study group (p-value=0.178, insignificant). In Study group 3(18.8%) patients had post-procedure pain but none had fever; while as in Control group 13(92.9%) patients had post-procedure pain & 6(42.9%) patients had fever. None of the patients from Study as well as Control groups had post-procedure empyema, tension pneumothorax, anaphylaxis, chest tube clogging or progressive respiratory failure. Per patient average cost of the procedure in Study group was Rs 53.13, while the average cost of procedure per patient in Control group was Rs1925.00 (p-value ≤0.0001). After 1-22 months (average 11.76) follow up, in Study group 3(20%) out of 15 patients had recurrence, and also in Control group 3(21.4%) out of 14 patients had recurrence of pneumothorax.( p-value (0.44) insignificant). CONCLUSION: The effectiveness of blood pleurodesis in cessation of air leak is approaching to that of bleomycin pleurodesis with similar recurrence rates in both groups. However the incidence of immediate post-procedure pain and fever is much higher in patients of bleomycin pleurodesis. Also compared to bleomycin, the autologous blood pleurodesis is very much cost effective. Our limited experience indicates that pleurodesis with self-donated blood is an easy-to-perform, painless, convenient, rapid and inexpensive procedure that is moderately effective in the short and medium term.
Published by: Mudassir Ahmad Khan, M. Akbar Bhat, A. Majeed, Naveed Khan, Faheem, Hilal, Saima .N, Asif .M
Author: Mudassir Ahmad Khan
Paper ID: V3I3-1412
Paper Status: published
Published: June 3, 2017
