A STUDY OF PROFESSIONAL VALUES OF TEACHERS WORKING IN SECONDARY LEVEL SCHOOLS

Review Paper Vol.7 Issue 2 Page No 01-05 ¹ Abhishek Sharma & ² Jyoti Yadav ¹ Research Scholar, Gyan Vihar School of Education, Suresh Gyan Vihar University, Jaipur ²  Assistant Professor Gyan Vihar School of Education, Suresh Gyan Vihar University, Jaipur, Rajasthan, India. abhisharma25191@gmail.com Corresponding author: Abhishek Sharma, Gyan Vihar School of Education, Suresh Gyan

ANALYSIS OF PESTICIDE BY SMART FARMING SYSTEM USING MACHINE LEARNING ALGORITHM OVER AWS CLOUD

Research Paper Vol.7 Issue 2 Page No 12-16 ¹ Vishal Sharma, 2 Raminder Kaur         ¹ Research Scholar, Center for Cloud Infrastructure and Security, Suresh Gyan Vihar University, Jaipur 2 Assistant Professor, Center for Cloud Infrastructure and Security, Suresh Gyan Vihar University, Jaipur Vishal.24411@mygyanvihar.com, raminder.kaur@mygyanvihar.com Abstract: -Smart Farm is a crop management system that allocates

A STUDY OF AN OPINION OF VARIOUS GROUPS OF SOCIETY TOWARDS YOGA EDUCATION

Research Paper Vol.7 Issue 2 Page No 17-20 ¹ Kiran Kumari Sharma, ² Dr. Jyoti Yadav         ¹ Research Scholar, GyanVihar School of education, Suresh Gyan Vihar University, Jaipur 2 Assistant Professor, GyanVihar School of education, Suresh Gyan Vihar University, Jaipur Kirandadhich1553@gmail.com Corresponding author: Kiran Kumari Sharma, GyanVihar School of education, Suresh Gyan Vihar University,

SYNTHESIS OF CARBON QUANTUM DOTS BY AAMLA (PHYLLANTHUS EMBLICA) EXTRACTS

Research Paper Vol.7 Issue 2 Page No 21-23 ¹ Neetu Sharma Gaur, ² Dr. R.C Chhipa         ¹ Research Scholar, Department of Chemistry, Suresh Gyan Vihar University, Jaipur 2 Professor, Department of Chemistry, Suresh Gyan Vihar University, Jaipur neetugaur88@gmail.com, rc.chhipa@mygyanvihar.com  Corresponding author: Neetu Sharma Gaur, Department of Chemistry, Suresh Gyan Vihar University, Jaipur   E-mail

ANALYSIS AND DESIGN OF CYCLOSTATIONARY FEATURE DETECTION IN COGNITIVE RADIO NETWORK

Research Paper Vol.7 Issue 2 Page No 06-11 ¹ Priya Geete, 2 Dr. Mukesh K Gupta, 3 Dr. Sandhya Sharma 1 Research Scholar Department of Electronics & Communication Engineering, Suresh Gyan Vihar University Jaipur, India. 2 Professor & Dean Research, Department of Electrical Engineering, Suresh Gyan Vihar University Jaipur, India. 3 Professor, Department of Electronics

Privacy Protection in Personalized Web Search

1Ritu Jhalani 1Assistant Professor, IIIM, Jaipur I. Introduction Personalized web search (PWS) is a promising method to improve the accuracy of web search, but effective personalized search needs to collect and summarize user information, which has caused many users to pay serious attention to privacy infringement. In fact, these concerns have become one of the

Security of Multihop Wireless Network

1Gajanand Sharma, 2Ravi Shankar sharma 1JECRC University, Jaipur, gajanan.sharma@gmail.com, 2JECRC University, Jaipur, er.ravishankarsharma@gmail.com Abstract :- In this paper, we propose E-STAR for establishing stable and reliable routes in heterogeneous multi-hop wireless networks. E-STAR combines payment and trust systems with a trust-based and energy-aware routing protocol. The payment system rewards the nodes that relay others’ packets and

Energy-Consumption and Latency Tradeoff in WSN In View of Clustering and Data Aggregation Techniques

1Sachin Sharma, 2Dr. K C Roy  1Associate Professor, Department of Computer Engineering, Rajasthan Institute of Information Technology 2Professor, Kautaliya Institute of Technology & Engineering Abstract— Wireless Sensor Networks is the basis of upcoming era of internet of things. It forms the base of a network that can be integrated with a TCP/IP Network in which

Image Generation Estimation & Analysis under Gaussian And Poisson Noise Environment Using Machine Learning

1Aarti Khoda, 2Priyanaka Punjabi 1Suresh Gyan Vihar University, Jaipur, Aarti25@gmail.com, 2Suresh Gyan Vihar University, Jaipur, priyankapunjabi10@gmail.com Abstract: In this paper we are generating the image of numbers from one to five and predicting these numbers using machine learning tool. After predicting the or estimating the number we have choose second number and add the Gaussian noise