We present the motivation, design, implementation, researches and applications of Big Data along with its potential to create value with trending new domains and work outcomes of Big Data are illustrated and delineated in this paper. Therefore, we propose the Big Data proposed architecture for satellite application.

Statistical analysis programs have an indispensible role in the research process and more specifically in data analysis. Over the time, many such programs have surfaced and the contemporary researcher has always been bogged down by the cloud of indecisiveness when it comes to choose a Statistical analysis program for their research. This paper aims to take a detailed feature based study of currently available statistical analysis programs like SPSS and SYSTAT from the perspective of users who analyze surveyed data. It describes the programs’ strengths, weaknesses and hardware demands

Mobile Ad-hoc system is self-arranged framework less system for mobile devices. In MANET there is no any central administration framework for design obligation. Every versatile hub uninhibitedly moves, enter and detach with no pre information.so MANET give whenever anyplace correspondence between gadgets. Portable Ad hoc system is an accumulation of two or more wireless devices, hubs or terminals with remote correspondence and systems administration capacity that speak with each other without the guide of any brought together director. Additionally the remote hub that can powerfully shape a system to trade data without utilizing any current altered system foundation because of element nature of Ad-hoc system numerous security challenges in MANET. In this paper we study different kind of characteristic, challenges and issues.

Flexible Manufacturing System (FMS) is a manufacturing system in which there is some amount of flexibility that allows the system to react in case of changes, whether predicted or unpredicted. The scope of this research includes identification of various variable of FMS on which the productivity and performance of the system depends. Two methods namely questionnaire method and Interpretive Structural Modelling technique are used to calculate the relative importance of these variables and their dependency on each other. The data used to rank these factors are obtained from survey of faculty members and industry professionals. Contextual relationship among these variables has been set after carrying out brainstorming sessions.

Social Internet of Things (SIoT) targets acclimatizing the ideas of the Internet of Things and Social Networks for offering some incentive added administrations to the people. The quantity of associated gadgets in the period of the Internet of Things is extremely huge and the key test is to gain the necessary data in an effective way. Correspondence between the associated articles can be upgraded by abusing the social conduct of the clients of such gadgets. As of late, there has been a twist of recommendations for giving social like abilities to the things associated with the web. The attention has been on creating systems that will permit direct communications among the articles that are "companions" with one another.

A new modified AC method – VSA methodology (with KRS or NTFDS theory) was adopted in this present work for the preparation of CNTs from natural organics i.e., Margosa leaves towards possible application to nano electronics, nano paper batteries and nano computer system. Structural, Compositional, Surface Morphological and Nano structural Characterizations were carried out on harvested products. The effects of optimizations parameters like pH of the various dipping solutions (acidic, basic and neutral), volume of dipping solutions, various types and parts of the materials, various dipping timings, number of annealing and dipping, various annealing temperature, various time of annealing and various dipping solution temperatures on structural, compositional, surface morphological,

A novel synthesis of high grade Single Walled Carbon Nano Tubes (SWCNTs) by the modified AC method – VSA methodology (with KRS or NTFDS theory) from natural organics. i.e, GR (0.25 mm) graphite rods was adopted in this present work for possible application towards DNA transport in genetic transformation. Parameters, as inferences from characterizations were calculated and graphically emphasized. Correlation studies between these characterization inferences (such as grain size, purity) and above optimization parameters were carried out with a high light on yield of high grade SWCNTs. Beyond all of these, we have carried out a novel feasibility study at first time, which comprises the possible usage of precursor graphite rods (under Specialized materials category) as organic carbon sources for high grade SWCNTs growth with high yield via a low cost technique and methodology as value in commercial efforts.

Synthesis of high grade SWCNTs from natural organics i.e., Plantain tree leaves by a novel modified AC method – VSA methodology (with KRS or NTFDS theory) was newly adopted in this present work for possible application towards RNA delivery system. Structural, Compositional, Surface Morphological and Nano structural Characterizations were carried out on harvested products. The effects of optimizations parameters like pH of the various dipping solutions (acidic, basic and neutral), volume of dipping solutions, various types and parts of the materials, various dipping timings, number of annealing and dipping, various annealing temperature, various time of annealing and various dipping solution temperatures on structural, compositional, surface morphological, nano-structural characterizations of materials and on high grade SWCNTs growth with high yield were studied intensively.

Plants productivity will be reduced due to the presence of diseases. Automatic detection of diseases on plant leaves is an important research topic which proves the benefits by identification of diseases through machine vision. This paper presents the study of various image processing techniques in identification of diseases on plants through leaf images. Image processing involves capturing the leaf images and pre-processing is done to improve the quality of the acquired images. Segmentation is applied to differentiate the disease affected region from the normal one. Various features are extracted from the segmented region and are fed in to the classifiers to identify the type of disease affected on the leaves

The finding of disease is a troublesome work that needs to do in a precise way. Content mining bargains an incredible occupation in this field. A colossal mass of information is accessible in the biomedical field, utilizing this information we can determine numerous infections by content mining procedures in a productive way. Content mining strategies are utilized to recover helpful learning from huge information. The point of this paper is to audit a few document mining strategies utilized in the biomedical field. This study is useful to choose the best book digging strategy for biomedical information

In today’s swiftly changing technological landscape, social media has become a defining factor of speed, interaction between community members and distant groups that are invariably connected for several different issues.The demographic profiling of social media is indicative of people from a wide spectrum, gender, ethnicity, age interacting and collaborating to chare benefits in diverse domains. Social media plays a major role in education system and students academics. It can be used for classroom teaching, for conducting academic discussion with friends and mentors, posting notes, sharing and accessing course related videos,preparing assignments, improving writing ability etc. Under restricted conditions of use, the social media can empower the student community while any gross misuse is highly likely to lead to lowering the grades

The need to perform complicated statistic analysis of big data by institutions of engineering, scientific research, health care, commerce, banking and computerresearch is immense. It is widely recognized that OLTP and OLAP queries have different data access patterns, processing needs and requirements. Therefore, the OLTP and OLAP queries are specifically handled by two different systems, and the data are periodically extracted from the OLTP system, transformed and loaded into the OLAP system for data analysis.

It is believed and throughvarious experimental studies, it is identified that the anaerobic digestion is one of theviable technologies to convert solid waste in to energy form Further the anaerobic digestionisdevelopedinthewayofco digestionprocesseswhereasingleorvarioussubstratesadded togetherthroughthisco digestionprocess,C/Nratioandbufferingcapacityisbalancedfor digestion.Moreover,thegasproductionwillbeincreased.Hence,thisstudyfocustowardstheutilizationofkitc henwaste,slaughterhousewaste andPoultrylitterassubstrateforcodigestionprocess.

Internet of Things (IoT) has rolled out huge improvements in reality and enters all parts of human life. The client acknowledgment of IoT is colossally high and it is far-reaching use is a result of the accessibility of advanced mobile phones and tablets. Wide reception of IoT in the utilizations of each field continually gathering touchy data and give a bigger surface to interlopers. So protection saved validation and access controls are huge difficulties in its exploration region. Techniques/Statistical Analysis: In this paper, we presented a novel calculation dependent on Zero-Knowledge Protocol and Accumulated Hashing to give secure validation to sensor empowered cell phones in IoT