Design of optimal search engine using text summarization through artificial intelligence techniques

Natural language processing is the trending topic in the latest research areas, which allows the developers to create the human-computer interactions to come into existence. The natural language processing is an integration of artificial intelligence, computer science and computer linguistics. The research towards natural Language Processing is focused on creating innovations towards creating the devices or machines which operates basing on the single command of a human. It allows various Bot creations to innovate the instructions from the mobile devices to control the physical devices by allowing the speech-tagging. In our paper, we design a search engine which not only displays the data according to user query but also performs the detailed display of the content or topic user is interested for using the summarization concept. We find the designed search engine is having optimal response time for the user queries by analyzing with number of transactions as inputs. Also, the result findings in the performance analysis show that the text summarization method has been an efficient way for improving the response time in the search engine optimizations

Flexible Data Streaming In Stream Cloud

Abstract: Most of the applications in some special domains such as Telecommunication systems, Share market, Fraud detection and network security which required online processing of incoming data. They produce very high incoming load which needs to process by multiple nodes. The current system is on single node bottleneck and with the static configuration and hence it is not able to scale with the input load. So in this paper we present stream cloud a high flexible data stream processing engine for processing bulky data stream. This is particularly suitable for applications in online transactions, monitoring financial data processing and fraud detection systems that require timely processing of continuous data. Stream cloud using novel parallelization technique which splits one query into sub queries which are independently allocates to individual nodes for execution. It is having some elastic protocols which is used to dynamic resource management and load balancing of incoming load. Keywords: Data stream, Load balancing, Elasticity, Scalability, Flexibility I. INTRODUCTION Number of applications where large amount of data need to be processed in quasi-real-time process which is having the limitations of store then process paradig

An effective identification of crop diseases using faster region based convolutional neural network and expert systems

The majority of research Study is moving towards cognitive computing, ubiquitous computing, internet of things (IoT) which focus on some of the real time applications like smart cities, smart agriculture, wearable smart devices. The objective of the research in this paper is to integrate the image processing strategies to the smart agriculture techniques to help the farmers to use the latest innovations of technology in order to resolve the issues of crops like infections or diseases to their crops which may be due to bugs or due to climatic conditions or may be due to soil consistency. As IoT is playing a crucial role in smart agriculture, the concept of infection recognition using object recognition the image processing strategy can help out the farmers greatly without making them to learn much about the technology and also helps them to sort out the issues with respect to crop. In this paper, an attempt of integrating kissan application with expert systems and image processing is made in order to help the farmers to have an immediate solution for the problem identified in a crop

Education and Learning Opportunities (Survey 2, Report 3)

With support and collaboration from the W.K. Kellogg Foundation through the America Healing initiative, researchers at the University of Michigan are leading the National Voices Project (NVP) from 2011-2016. The central goals of the NVP are to examine the sources of racial/ethnic inequity and other disparities for children in the United States today, identify interventions that address disparities effectively, and inform the public dialogue about racial healing and racial equality.The NVP offers a fresh perspective on community-level opportunities for children throughout the country, in the domains of health and nutrition, education, and economic security – through the eyes of adults whose work and volunteer efforts affect such opportunities. In other words, the NVP reflects the perceptions of individuals throughout the United States who are in a position to improve children?s opportunities in the future.NVP Survey 1 was conducted in November-December 2011. NVP Survey 2 was fielded in August-September 2012. NVP Survey 2 differed from NVP Survey 1 in two key respects: 1) NVP Survey 2 included an oversample in communities included in the "Place Matters" initiative led by the Joint Center for Political and Economic Studies, a fellow grantee of the W.K. Kellogg Foundation. The oversample included sufficient numbers of responses to permit the NVP team to analyze differences across 6 specific "Place Matters" counties, and 2) Questions were asked in greater depth about efforts at community levels about bridging efforts to address racial/ethnic inequities.

Health, Nutrition and Healthcare Availability (Survey 2, Report 2)

With support and collaboration from the W.K. Kellogg Foundation through the America Healing initiative, researchers at the University of Michigan are leading the National Voices Project (NVP) from 2011-2015. The central goals of the NVP are to examine the sources of racial/ethnic inequity and other disparities for children in the United States today, identify interventions that address disparities effectively, and inform the public dialogue about racial healing and racial equality. The NVP offers a fresh perspective on community-level opportunities for children throughout the country, in the domains of health and nutrition, education, and economic security -- through the eyes of adults whose work and volunteer efforts affect such opportunities. In other words, the NVP reflects the perceptions of individuals throughout the United States who are in a position to improve children's opportunities in the future. The questionnaire for NVP Survey 2 was developed by the National Voices Project team at the University of Michigan, with input from WKKF collaborators. We examined how individuals who work or volunteer with children view opportunities for education, health and healthcare, and economic well-being related to children and adolescents. Many of the questions were identical to questions fielded for NVP Survey 1 in 2011, to facilitate comparisons of responses across these different samples and over time. New questions in NVP Survey 2 centered on respondents' perceptions of segregation and inequities in the communities they know best, and on respondents' awareness about efforts to bridge racial/ethnic inequities in those communities

Opportunities and Barriers Related to Income (Survey 2, Report 4)

Led by researchers at the University of Michigan, the National Voices Project is an effort to bring the perspectives of thousands of people in communities across the United States to the national dialogue about opportunities and barriers for children related to race/ethnicity. The National Voices Project conducts major national surveys twice each yearamong adults who work and volunteer on behalf of children. These surveys focus on racial/ethnic disparities at the community level that affect children?s health, education, and economic security.NVP Survey 1 was conducted in November-December 2011. NVP Survey 2 was fielded in August-September 2012.The final eligible sample for NVP Survey 2 included 2,311 adults from 48 states and D.C. NVP Survey 2 differed from NVP Survey 1 in two key respects: 1) NVP Survey 2 included an oversample in communities included in the "Place Matters" initiative led by the Joint Center for Political and Economic Studies, a fellow grantee of the W.K. Kellogg Foundation. The oversample included sufficient numbers of responses to permit the NVP team to analyze differences across 6 specific "Place Matters" counties, and 2) Questions were asked in greater depth about efforts at community levels about bridging efforts to address racial/ethnic inequities.

Opportunities and Barriers Related to Income (NVP 2013, Report 4)

With support and collaboration from the W.K. Kellogg Foundation through the America Healing initiative, researchers at the University of Michigan are leading the National Voices Project (NVP) from 2011-2016. The central goals of the NVP are to examine the sources of racial/ethnic inequity and other disparities for children in the United States today and identify interventions that address disparities effectively.The NVP offers an unprecedented perspective on community-level opportunities for children throughout the country, in the domains of health and nutrition, education and learning, and economic security – through the eyes of adults whoseoccupations and volunteer work affect such opportunities. In other words, the NVP reflects the perceptions of individuals throughout the United States who are in a position to improve children's opportunities in the future. We generally use the word "children" throughout the report to describe young children from age 0-8 years, and "teens" for children ages 13-18 years old.Report #4 for NVP 2013 focuses chiefly on findings on children's and teens' health, education and learning, andeconomic opportunities related to income