Aim of the present study is to determine the Spiritual Intelligence of Government and Private Graduate college students of Haryana State. For this a sample consisted of 200 Graduate Students of Degree colleges situated in Sirsa, Fatehabad , Hisar and Rohtak Districts of Haryana State was taken . 100 students from 4 Government colleges and 100 students from 4 Private Colleges were taken and descriptive survey method was used . For the present study Roqan Spiritual Intelligence Test (RSIT) developed by Prof. Roquiya Zainuddin and Ms. Anjum Ahmed was used In the present study results shows that the mean value of private Graduate college students is more than Government Graduate college students and the mean value of female in Government as well as Private Graduate college students is more than male students . Furthermore the mean value of Government as well as Private Graduate college students situated in rural area is more than urban Government Graduate college students.

Wireless Sensor Networks are widely used in many applications. It consists of sensors which collect the different information such as location of the object, privately relevant information etc. Source location privacy is the major problem in wireless sensor networks (WSN). Privacy protection especially source location protection prevents the sensor nodes from revealing valuable information about the target. In this paper, we proposed a scheme based on cloud for protecting source location. In this scheme, multiple sinks are adopted to create many routing path thus changes the packet destination in each transmission. A cloud-shaped fake hotspot is created to add fake packets into the WSN to confuse the adversary and provide a comprehensive privacy location.

There is plethora of fluorescent probes that have been reported in the last decade. Out of these fluorescein based probes have made a class with wide category of probes. In the present review we have tried to sum up various fluorescein based sensing probes developed in the recent years. These probes have wide biological as well as chemical scope.

In this paper, we discuss on the air pollution trend in various Indian cities due to diesel generators.In our country, many of the inhabitants in countryside areas does not have admittance to electricity and those areas on the grating are not certain of incessant supply. The difference between the supply and the demands critical to apprehend India's power generation sector. In this paper authors try to write about strategy to overcome pollution Retrofit for Diesel Generators.

Grey wolf optimizer (GWO) is arising from grey wolves. The grey wolf algorithmic rule imitate the hunting mechanism of grey wolf. This algorithmic rule is very successful in engineering field. GWO algorithmic rule is very popular in research and analyses in terms of anatomy and manipulation. In (GWO) algorithmic rule author saw that half of the iterations are dedicated to anatomy and half is dedicated to manipulation. There is a right balance b/w anatomy and manipulation which shows approximation of global optimum. To overcome this effect a new modified algorithm (MGWO) is introduced. MGWO focus on proper stability between anatomy and that shows manipulation optimal performance of the algorithmic rule .The Modified algorithmic rule is benefits from high anatomy as compared to original GWO. MGWO has an ability to solve real world optimization problem.

In the paper we have emphasized on study of Indian Banks’ Performance. We have considered nineteen banks for our study. The study contains 7banks owned by Private Sector and 12 banks owned by Public Sector in the year 2012-2013 by finding out the efficiency of banks while using DEA for earning goodwill from the investors and give them ranks accordingly. The findings suggest that public sector banks work better as compare to the private sector banks. The efficiency level of Private sector banks in 2013 was consistent.

Peer-to-peer networks are less secure than a client-server network because security is handled by individual computers, not on network as a whole. Resources of computers in network could become overburdened as they have to support not only workstation user, but also requests from network users. Within XOR-based metric we provide consistency & performance, latency minimizing routing, & a symmetric, unidirectional topology to peer to peer & client server cloud. Cloud based services & service providers are being evolved which has resulted in a new business trend based on cloud technology. Cloud Computing is a architecture that server resources on distributed scalable platform so as to provide on demand computing resources & services. Cloud service providers offer cloud platforms for their customers to use & create their web services, much like internet service providers offer costumers high speed broadband to access internet.

Today very large amount of data is available in the world. Therefore, there is an immediate need for maintaining, managing and accessing the large amount of data. Major IT players Like Amazon, Google has been extensively working on Cloud Computing since year 2000. In year 2006 August, Amazon introduced its Elastic Compute Cloud for Amazon Web Services. Later in year 2008, April Google released Beta version of Google App Engine. The world is familiar with cloud and in some manner using cloud, so the companies now have abundance of data. There are many storage options available for storing million user’s data such as Hard Disk, CD, DVD Mobile Phone and Internet Cloud Area etc. Three types of data is available that is structured, semi- structured and unstructured. The challenge faced by the companies is of maintaining and analyzing the huge data. It is essential for the companies to retrieve the best processed information out of the data available. Now the issue arises how to analyses, process large data in cloud? One of the finest solutions to resolve the above-mentioned problem is R programming. The authors in this research paper have tried to focus on R programming, as it is used for analyzing and accessing the data using Hadoop. R being at a developing stage utilizes familiar scripting platforms such as python, pig for reducing processing and generate faster results. This research paper will aim at identifying the R programming Integration with Hadoop. The paper will shed light on how R programming is beneficial for analyzing Big Data using Hadoop.

In today's era of modernization many businesses are coming up.The advancements in banking sector is one of the them.Banking is a very important pillar of any economy.Without banking system,the whole economic system may collapse.The research focuses on the one the these pillars of banking that is AXIS BANK.I found this topic to be quite interesting and prevalent these days .Axis bank is the third largest bank in private sector.In this research the information is being provided about the company profile,the research methodology is secondary data,various statements of the bank are used to provide a strong argument.The objectives of the study are to find out that how well the bank is going in today’s era.SWOT Analysis are also done to have clear understanding.Customer satisfaction and support services are also told about.Various studies many researches being published by research boards and journals is used.Various pros and cons of the banks are discussed which will be beneficial in order to take various decisions

Restoration is basically a technique to decipher the contents which were hidden by any person to hide any evidence. Forensic scientists can use physical and chemical techniques to restore or enhance altered characters. And then they will apply chemical reagents, typically acids, to etch the metal until the number is restored. Various techniques have been prevailed in order to decipher these marks but it depends on the type of surface on which it is present.

The bolt -of-time marvels are everywhere in the physical world, natural frameworks furthermore, human culture. Regardless of its extraordinary significance in material science, the second law of thermodynamics can just effectively clarify little rates of these bolt- of-time wonders in the physical world. For instance, the intense second law of thermodynamics can neither clarify bolt- of-time marvels like Darwin's development which occurred in natural frameworks, nor the development which occurred in human culture. This paper sums up the second law of thermodynamics into an all-inclusive law of material science called law of harmony that is all around relevant in every framework represented by quantum mechanics inclusive of physical frameworks, organic frameworks, and human culture. Idea of entropy in factual material science is summed up utilizing, idea of relative entropy. Law of balance is one of five material science laws of sociology, which depends on another translation of quantum mechanics. This paper settle two exceptional issues in present day material science: how to sum up the second law of thermodynamics to non-balance material science, and the idea of bolt- of -time. This paper reasons that the permanent procedures and bolt- of -time marvels in the physical world, organic frameworks, and human culture are in a general sense a similar quantum wonders due to undetermined nature of quantum occasions inclusive of human decisions.