Wireless SCADA for industrial automation using Raspberry Pi
The World Wide Web (WWW) is the easy and convenient way to access the information on the internet in a click. This feature is suited for SCADA (Supervisory Control and Data Acquisition) to accessing the information of the system. This paper describes the wireless SCADA application for industrial automation purpose which is implemented based on client and server architecture. The user can access the real-time data in the picture/text and graphical format by using the HTTP (Hypertext Transfer Protocol) on computer/laptop screen. In this proposed system we used the Raspberry Pi as a controller. In Addition, a user can monitor and control the remote location system at the server site. Here the choice of Python language is the unique and powerful features such as on-demand access and platform independence to the design of SCADA display system.
Published by: Poonam S. Mate, Santosh P. Agnihotri
Author: Poonam S. Mate
Paper ID: V4I3-1946
Paper Status: published
Published: June 22, 2018
Survey on low latency live video streaming
Video gushing over Internet has got bunches of consideration as of late. These days over half of the worldwide information activity is devoured by video bundles and it will be over 80% by 2020. Live gushing is testing, since it needs ongoing techniques with low dormancy. Advanced mobile phones and tablets are the new age of PCs with the capacity to do some of our day by day schedules. Live spilling between two cell phones has numerous applications, for example, reconnaissance, video talk, and so on. In this paper we proposed a technique to stream live video from a cell phone to another, utilizing a web-socket. For assessment, we have executed an open source library on Android, being used for any individual who needs to utilize live video gushing as a piece of their application, and showed that our strategy can play remote video with lower than 2 seconds delay in various situations. Moreover, our technique increment and decrement latency according to network condition so as to give a superior nature of experience to the viewer.
Published by: Priyanka Deshmukh, Nagaraju Bogiri
Author: Priyanka Deshmukh
Paper ID: V4I3-1937
Paper Status: published
Published: June 22, 2018
Predicting user behaviour through the sessions of web mining
Nowadays users are concentrate on the complex task-oriented goal such as e-commerce site, making finances, making educational details. User divides the particular task into the number of small tasks and solves the multiple requests at the same time. The search engine keeps the track of queries depends on searched history. By extracting the user sessions from the log files and also sessions are extracted. Server-side log and client-side log are commonly used on the web. The server-side log is automatically generated according to each user request. Client-side logs will capture accurate, comprehensive usage data for usability analysis. The process includes the method of data cleaning, user identification, threshold selection, user profile generation, session identification. The mining is performed according to the frequency of user visiting each page. According to the generated sessions, the user behavior can be analyzed depending on time spent on each page.
Published by: Ujjwala Pandurang Patil, Akanksha Sahebrao Shejawal, Namrata Govind Ambekar, Nilu Dilip Shinde
Author: Ujjwala Pandurang Patil
Paper ID: V4I3-1827
Paper Status: published
Published: June 22, 2018
Finding healthcare solution for India: A comparative study with USA and UK
Healthcare standard is one of the fundamental indicators of the growth of a nation and a basic requisite for leading the healthy life with dignity and yet it has not been recognized under the right to life in the Constitution of India. In such circumstance the two functions; health care providers and health insurers play a pivotal role. At large, cost of basic health care and insurance to afford health care remains either overlooked or unaffordable for the majority of the population, that is evident from the minimum penetration that the health insurance has achieved in India. The present study attempted to probe into the reason why India remains dismal in terms of providing its citizen a universal health care system and achieving maximum penetration in terms of health insurance. The study begins with a review of the prevalent health care models around the world and the geographies that have successfully implemented universal health care system. An introspect is also made to find whether such best practices can be implemented in the Indian context to put universal health care system in practice. The study concludes with a suggestion that; yes universal health care system is possible in India provided three essential stakeholders start functioning parallelly in coordination with each other under the vigilance of a single regulator.
Published by: Dr. Janmejay Senapati, Dr. Ranjan Dash, Bhabani Shankar Dash, Ryan Singh
Author: Dr. Janmejay Senapati
Paper ID: V4I3-1829
Paper Status: published
Published: June 21, 2018
A hybrid video mining approach for Cancerous polyp detection in endoscopy videos
Video mining on endoscopic videos is a challenging task due to interesting features of unstructured data. This paper presents a new feature descriptor to automatically recognize the images with cancerous polyps in endoscopic videos. This approach uses the features of cancerous polyps, determining polyp as cancerous by one feature descriptor is not possible. To overcome this the work combines two different feature descriptors for much more accurate identification. The two feature descriptors are Complete Local Binary Pattern (CLBP) descriptor and the Global-Local Oriented Edge Magnitude Pattern (Global LOEMP) descriptor. CLBP is used to detect the texture information in the image and the Global LOEMP is used to extract the color features. By combining both feature descriptors a stronger technique can be employed to identify cancerous polyps.
Published by: Nagesh B S, Dr. N P Kavya
Author: Nagesh B S
Paper ID: V4I3-1942
Paper Status: published
Published: June 21, 2018
Some studies on sclera vascular pattern recognition
Sclera vein patterns that reside in the human eyes can be one of the biometric for authentication. These vein patterns are stable and unique. Firstly, Segmentation of sclera region along with veins is carried out using otsu Binarization and Contour method. Edge Histogram Descriptor is used for feature extraction of vein patterns. For classification K-nearest Neighbor method is implemented on wide open eye images of the UBIRIS.v1 database.
Published by: Kanchan D. Deshmukh, Hemangi H. Kulkarni
Author: Kanchan D. Deshmukh
Paper ID: V4I3-1894
Paper Status: published
Published: June 21, 2018
