Big Data Analytics for the Social Security Smart (SSS) Card (National Identity Card) Usage for All Citizens
Discovering the data for the smart card is the collection of data and the development of an application for the social security smart card for the Indian citizen also the design of this application. A smart card is designed is look like typically a type of chip card, is a plastic card that contains an embedded computer chip–either a memory or microprocessor type–that stores and transacts data. The social security card contains only one social security number and the usage of this card is to provide a single card for all the purposes. It can be distributed to all the citizens of India with a Security number. This number is the identity in future for various purposes. With this tracking of a particular person in a particular place is easy.It is used to transact the money only in digital (numbers), not in rupees. It eliminates the money and paperwork.Using this card the wages will be credited to this card.
Published by: Ambiga
Author: Ambiga
Paper ID: V3I2-1328
Paper Status: published
Published: March 27, 2017
Role of Information Technology in Human Resources Management
The Internet has changing our lives and the way we interconnect with the others, how we work, how we learn and spend free time, in short, it has changed human society. Information technology (IT) as a set of offered scheme is available for people and organization through hardware mechanism and plays a main role in the growth of human resources. In today’s world, Information technology is the important factor for the growth of human organization and group. This paper encloses a brief overview of the role of information technology in human resources management. Today top CEO knows the power of internet and information technology (IT) mode for reaching organization goal. The utilization of internet and information technology equipment helps not only to complete organization aim but to optimize work evaluation as well.
Published by: Jyoti Rohilla
Author: Jyoti Rohilla
Paper ID: V3I2-1327
Paper Status: published
Published: March 27, 2017
Laser Wall: Possibilities and Scope in Indian Defense System
For the LASER wall installation in Indian defense system, we have to think about its geographical area and variations in climate across the country. As we know that Some places are too hot in the summer (above 490C) and some places are too cold in winter (below -500C)[1].So it is difficult for surveillance and patrolling. At those places, we can use an electronic wall which gives protection and surveillance from unauthorized entry. Laser wall technology consists of three major part e.g. LASER, Infrared Camera, and GPS system. An optoelectronic sensor is used to detect Laser beam through which a microcontroller regularly maintain a proper voltage level. If anyone cross that laser beam light then there is a disruption in voltage level and microcontroller generate a signal which is transmitted through GPS system and that warning signal being sent to the base camp station, thermal images of the particular area are also sent through GPS system simultaneously. Since each microcontroller may hold a unique ID of that particular location through which it can be easily identified by that location.
Published by: Ashutosh Dhar Dwivedi, Raj Lakshmi Shukla
Author: Ashutosh Dhar Dwivedi
Paper ID: V3I2-1326
Paper Status: published
Published: March 27, 2017
Working Of Air Compressor with Aid of Speed Braker
In our project, we are producing the compressed air using with the aid of speed breaker setup in roadways. This is the simple and easy method of producing the compressed air without using the electricity. Nowadays the electric power demand is increased. So we are generating the compressed air without using the electric power. Here instead of electric drive, we are using the mechanical drive to generate the compressed air.
Published by: P. Naveen kumar, V. Dinesh kumar, A. Gokulnath, S. Vinoth kumar
Author: P. Naveen kumar
Paper ID: V3I2-1325
Paper Status: published
Published: March 27, 2017
Clinical Profile And Management Of Multiple Urolithiasis
ABSTRACT Background: Stone in the urinary tract has been challenge to human being since the dawn of the history. Research over years has shown that the incdence of bladder calculi has reduced and incidence of upper urinary tract calculi has gone up slowly. With developments in different radilogical modalities, the diagnosis of calculus disease has become more accurate and the better understanding of physiochemical principles underlying the stone disease , chemical composition of urinary calculi with advent of medical therapy have shown rays of hopes to the scientists for prevention of stone diseases. Method: The present series is a study of 48 patients admitted with urinary calculi in Acharya Vinoba Bhave Rural Hospital, Sawangi Meghe during the period of two years (August 2008- July 2010). Results:In this it was observed that urinary calculi were most commonly seen in age groups from 21-30 years (19 cases) 39.50% and 31-40 years (13 cases) 27.33%, respectively followed by age groups from 41-50 years (5 cases) having incidence of 10.34%, with incidence of ureteric calculi was more i.e. 54 calculi as against renal calculi i.e. 38 calculi; bladder calculi i.e. 07 calculi and urethral calculi i.e. 03 calculi. It was observed that urinary calculi were more common in patients having mixed diet (66.7%) as compared to vegetarian diet (33.33%) and were more common in patients having milk (95.8%) in their diet as compared to patients not having milk (4.2%) in their diet. Blood urea levels were raised in 04 cases (8.33%) suggestive of altered renal functions. Serum creatinine was done in selected cases whenever indicated. 3 cases show the deranged creatinine. Urinary pH was acidic in 44 out of 48 cases i.e. 91.66% as against neutral and alkaline pH in 2 and 2 cases i.e. 4.16% and 4.16%, respectively. Urinary infection was present in 22 out of 48 cases i.e. 45.83% cases. Bacteria were present in 20 cases i.e. 41.66% cases. Microscopic Hematuria was present in 26 cases i.e. 47.91% cases. Albumin was present in 28 cases i.e. 58.33% cases. Crystals were detected in urine in 21 cases, out of which 18 were made up of calcium oxalate (37.5%), 1 were made up of triple phosphate (2.08%) and 2 were made up of uric acid (4.16%). Plain X Ray KUB could detect 96 urinary calculus out of 102 (i.e. 94.11% calculus identified). Hydrotherapy was done in 2 cases of ureteric calculi. Both Patients passed calculus in the ward 48-72 hours after starting hydrotherapy. Nephrectomy was done in 1 case of non- functioning kidney. Nephrolithotomy was done for 5 calculi. Extended pyelolithotomy was done for 5 calculi. Pyelolithotomy was done for 27 calculi.All cases were treated with antibiotics, daily-dressings and secondary suturing. Urinary leak occurred in 1 case. That case was treated conservatively. The urinary leak stopped with conservative management. One patient had secondary hemorrhage. The patient was treated conservatively. Follow-up Out of 48 cases, 35 cases came for follow-up in Out Patient Department. Thus, follow-up rate was 72.91%. Conclusion: Despite of limited resources and lack of recent techniques of ESWL, PCNL and Endourology multiple Urolithiais can be managed at rural setups
Published by: Dr. Pratik Hire, Dr. Suryapratap Singh Tomar, Dr. Kiran Kher
Author: Dr. Pratik Hire
Paper ID: V3I2-1322
Paper Status: published
Published: March 26, 2017
A Survey on Partition Based Parallel Data Mining Algorithms for Clustering
Volumes of data are exploding in both scientific and commercial domains. Data mining techniques that extract information from the huge amount of data have become popular in many applications. Algorithms are designed to analyze those volumes of data automatically inefficient ways so that users can grasp the intrinsic knowledge latent in the data. Clustering is important in data analysis and data mining applications. Clustering is a division of data into a group of similar objects. Each group called a cluster consists of objects that are similar between themselves and dissimilar between comparing to objects of other groups. This paper is aimed to study of all the parallel data mining algorithms based on partition.
Published by: Monika Aal
Author: Monika Aal
Paper ID: V3I2-1317
Paper Status: published
Published: March 25, 2017
