Study the Influence of Industrial Waste Iron Sludge on the Stabilization of the Expansive Soil for the Road Subgrade
The Aim of this paper is to Stabilize Expansive soil of Sub Grade and to improve its California bearing ratio and free swell index and other properties using Industrial Waste materials Iron Sludge. Expansive soil have tremendous strength but it becomes very soft when it getting wet, It expands/swells due to its mineralogical composition during its wet condition, It creates cracks or consolidated when it is dry. Expansive soils can be found on almost all the continents on the Earth. Destructive results caused by this type of soils have been reported in many countries. First of all, identify the engineering properties of soil and then add 5, 10… 30 % iron Sludge in natural Soil. And again check the change in engineering properties of soil like plastic limit, plasticity Index, swelling Index of treated soil. By comparing the test results of virgin soil and treated soil we check the feasibility of using Iron Sludge for stabilization of expansive soil.
Published by: Ahemadabbas S. Rajpura, Prof. B. R Shah, Prof. H. K Dave
Author: Ahemadabbas S. Rajpura
Paper ID: V3I2-1559
Paper Status: published
Published: April 20, 2017
Image Processing using SIFT
Nowadays, computer Vision Technology is playing a very important role to understand the information present in image format. The object details those are in the form of image can be treated to find .This paper proposes the object finding method to help visually impaired people. The SIFT can extract distinctive features in an image to match different objects. The proposed recognition process begins by matching individual features of the user queried object to a database of features with different personal items which are saved database.
Published by: Kirti Bhure, J. D Dhande
Author: Kirti Bhure
Paper ID: V3I2-1538
Paper Status: published
Published: April 18, 2017
Detection and Analysis of Microanuerysm in Diabetic Retinopathy Using Fundus Image Processing
Diabetic-related eye disease is a major cause of blindness in the world. It is a complication of diabetes which can also affect various parts of the body. When the small blood vessels have a high level of glucose in the retina, the vision will be blurred and can cause blindness eventually, which is known as diabetic retinopathy.Detection of the disease at an early stage enables the patient to get treatment by advanced methods like laser treatment to prevent total blindness. The paper deals with detecting the diabetic retinopathy retinal changes. The retinal images are first subjected to pre-processing techniques like colour normalization and enhancement process. There may exist different kinds of lesions caused by diabetic retinopathy in a diabetic patient’s eye such as micro aneurysm, hard exudates, soft exudates, hemorrhage etc. Automated analysis of the fundus (retinal image) image is very much essential and will be of help to facilitate the clinical diagnosis.
Published by: Nirav Gori, Hardik Kadakia, Vinayak Kashid, Mrs. Pranali Hatode
Author: Nirav Gori
Paper ID: V3I2-1508
Paper Status: published
Published: April 17, 2017
Glimpse of Cloud Computing
In this paper, the concept of cloud computing has been studied. The service provider must ensure that the infrastructure and applications are protected and must take actions to reinforce user’s application and use strong passwords and authentication measures. In the first part, a brief introduction to the cloud computing has been given. It includes a definition of cloud computing given by NIST and other scholars. In the next section, the architecture and various service models, as well as deployment models provided by cloud computing, has been discussed. This is followed by the working of the cloud which includes the concept of virtualization. Then the light has been put on its major application areas. In the next part, its advantages and disadvantages have been highlighted.
Published by: Anushka Gaur, Anurag Jain
Author: Anushka Gaur
Paper ID: V3I2-1510
Paper Status: published
Published: April 17, 2017
Review Paper on Shifted Histogram Using Optimal Shift Distance for Images with Entropy Value & Wavelet Decomposition Images
A histogram is a graphical representation of the brightness values that comprise an image. The brightness values (i.e. 0-255) are displayed along the x-axis of the graph. The frequency of occurrence of each of these values in the image is shown on the y-axis. Histogram of a digital image with intensity level in the range of [0, L-1 ] is a discrete function h(rk) = nk where rk is the kth intensity level and nk is no of a pixel in the image with intensity rk. Histogram equalization is a method in image processing of contrast adjustment using the image's histogram. Histogram equalization automatically determines a transformation function that seeks to produce output images that have a uniform histogram. When the automatic enhancement is desired that is the good approach because result from this technique are predictable and method is simple to implement. The method used to generate a processed image that has a specified histogram is called histogram matching or histogram specification. In this thesis we will use the advanced algorithm to enhance the quality of an image and we succeeded and also got the entropy value of image by changing the scaling factor K we got different value and also got different shifted histogram image. In our research work, we will work on the different level to analyze the effect of an algorithm. By changing scaling factor we analyze different EME and image enhanced significantly from which a lot of important information can be recovered.
Published by: Rekha, Vijay Nandal
Author: Rekha
Paper ID: V3I2-1491
Paper Status: published
Published: April 14, 2017
Taxonomy of Load Balancing
Cloud computing is one of an emerging technology in the computer world these days. Virtualization is the concept behind cloud computing that allows sharing of resources like software, infrastructure, and platform. Different people share different views regarding cloud computing. Some enterprises take a lot of advantages from cloud computing while other considers it being an unsafe place for storing critical information. Load balancing is one of an important issue in cloud computing. This paper is for those who want to understand the basics of load balancing.
Published by: Divya Garg, Er. Anurag Jain
Author: Divya Garg
Paper ID: V3I2-1509
Paper Status: published
Published: April 14, 2017
