Gateway Based Energy Efficient Routing: GEER
Wireless Sensor Networks comprise of an extensive number of little and minimal effort sensor nodes energised by little non rechargeable batteries and furnished with different detecting gadgets. WSN is sent, most likely in a rough and inhospitable landscape, it is relied upon that all of a sudden dynamic to accumulate the required information for a few times when something is identified, and after that outstanding to a great extent idle for drawn out stretches of time. In this way, scientists are constantly persuaded to configuration create effective energy efficient plans and relating calculations with a specific end goal to give sensible optimal utilization of battery power and to enhance the system lifetime for WSNs. The lifetime of wireless sensor network systems is enhanced by cluster location and balancing the network loading among the clusters. In this research work a gateway based technique has been contemplated. The nodes have been isolate into ordinary, middle of the road and progressed in light of their vitality arrangement and every class has its own particular paradigm for determination likelihood. The calculation performs well as far as number of alive nodes, network lifetime, average energy and so forth. A comprehensive investigation as far as different graphical parameters is additionally introduced in this work.
Published by: Naziya Anjum, Masood Ahmad, Dr. Shafeeq Ahmad
Author: Naziya Anjum
Paper ID: V3I4-1263
Paper Status: published
Published: July 31, 2017
Universal Dependencies of Sanskrit
We present the first steps towards a treebank of Sanskrit within the Universal Dependencies framework. our dataset is tiny at the moment, consisting of less than 200 sentences—a result of a summer internship project. Nevertheless, this seems to be, to the best of our knowledge, the first publicly available piece of syntactically annotated Sanskrit text.We also present a parsing experiment, with results surpassing delexicalized parsing.
Published by: Puneet Dwivedi, Easha Guha
Author: Puneet Dwivedi
Paper ID: V3I4-1252
Paper Status: published
Published: July 31, 2017
Parametric Study of Multi-Storey Buildings for Blast Load
An explosive is a mixture of compounds which, when initiated by heat, impact, friction, or shock, undergoes a rapid decomposition in the form of heat and gas where tremendous amounts of energy is released. Full or partial collapse of buildings, minor and major cracks are the most perceptible type of failure that may result from a blast load. The level of damage produced in a structure depends on charge weight, distance of building from point of explosion . This work deals with study of nature of blast loading and its effects on regular and irregular multi-storey building with and without shear wall opening.
Published by: Prajna, Deepthishree S. Aithal
Author: Prajna
Paper ID: V3I4-1248
Paper Status: published
Published: July 31, 2017
Review of Classification of Copy Move Forgery
Copy move forgery is one of the important fields in forensic science for image pro-cessing. Image forgery is different like copy move attack, image splicing and image retouching. In this paper review the specific copy move forgery images and its detection methods.
Published by: Rekha Devi, Deepti Chauhan
Author: Rekha Devi
Paper ID: V3I4-1247
Paper Status: published
Published: July 31, 2017
Classification of copy move forgery and normal images by ORB features and SVM classifier
Today, the characterization of the technological age is done by the digital images spread. They are the most common form of conveying information whether through internet, newspapers, magazines, or scientific journals. They are used as a strong proof against various crimes and as evidence used for various purposes. The modification, capturing or creating of the image has become easier and available with the emergence of means of image editing and processing tools. One of the most important and popular type of image forgery is copy-move forgery in which an image part is copied and then pasted into the same image that has intention of hiding something important or showing a false scene. Because the important properties of the copied parts comes from the same image, such as brightness, noise, and texture which will be compatible with the entire image that makes more difficult for experts for the detection and distinguishing the alteration. Usually, the detecting copy move forgery conventional techniques suffer severely from the time-consuming problem. The evaluation of the improved method had been done using (150) images that was selected from two different datasets, “CoMoFoD” and “MICC-F2000”. Experimental results show that the improved method can accurately and quickly reveal the doubled regions of a tampered image. In addition, greatly reducing the processing time in comparison to the khan algorithm, and the accuracy is kept at the same level. Owing to the availability and technological advancement of the image editing sophisticated tools, there is increase in the loss of authentication in digital images. Thus, this led us to the proposal of different detection techniques that checks whether the digital images are forged or authentic. The specific type of forgery technique is copy move forgery in which widely used research topic is detection under digital image forensics. In this thesis an enhancement of copy move image forgery classification is done by implementing a hybrid features with classification algorithm like SIFT with SVM and EM algorithm and ORB with SVM and EM .The technique works by applying firstly the DCT on an image and then on an resultant image, SIFT is obtained after applying DCT. A supervised learning method is proposed for classifying a copy-move image forgery of TIFF, JPEG, and BMP. The process starts with reducing the color of the photos. Achieve the accuracy more than 90%.
Published by: Rekha Devi, Deepti Chauhan
Author: Rekha Devi
Paper ID: V3I4-1246
Paper Status: published
Published: July 31, 2017
Challenges before Micro, Small and Medium Enterprises and Role of Government
MSME meaning is The Micro, Small and Medium Enterprise (MSME), the sector considered as the most vibrant and dynamic sector of the Indian economy over the five decades. The major characteristics of Indian MSMEs is a high contribution to domestic production, significant export earnings, low investment requirements, operational flexibility, location wise mobility, capacities to develop appropriate indigenous technology, import substitution, contribution towards defense production technology-oriented industries and competitiveness in domestic and export markets help them tap opportunities in various sectors. This sector not only source of providing large employment opportunities at comparatively lower capital cost than large industries but also it helps in the industrialization of rural & backward areas, which ultimately helps in reducing Regional imbalances, assuring more equitable distribution of national income and wealth. MSMEs are similar to, large industries as ancillary units and contribute enormously to the socio-economic development of the country.Micro Small and Medium Enterprises have played a significant role in the economic development of the various countries. India certainly is no exception. The sector which has such a remarkable contribution to economy need to look into the other side i.e. the challenges. India being a democratic country government rests with larger responsibility. So in the article we have discussed the challenges and the role of government and its effactiveness.
Published by: Dr. Shashikant Magar
Author: Dr. Shashikant Magar
Paper ID: V3I4-1209
Paper Status: published
Published: July 31, 2017
