Climatic Variations and Cereal Production in India: An Empirical Analysis

The study is an attempt to forecast the impact of climate variations on the production of two main cereal crops, i.e., wheat and paddy, by employing a crop model using cross-section data for the year 2014-2015. The findings predict that the yield of the wheat crop is expected to go down in the farms in the plains by 10.11 per cent, while set to increase in the farms in the hills by 6.70 per cent, respectively by 2100 AD. The results, further pinpoint that the production of paddy crop is expected to decline in both farms in the plains and farms at hills by 15.04 percent and 12.83 per cent respectively for farms in the plains and farms in the hills by the turn of this century. The study recommends the expansion of area under wheat cultivation for the farms in the hills in order to compensate the loss in production of wheat farming in farms in the plains to maintain the aggregate production of wheat at the same level. There found a dire need for the development and adoption of climate responsive varieties of both crops along with the spatial diversification of crops (full or partial), to cope with the future shocks of climate variability

Diffusion of Big Data in Indian Scientific Literature: Study of Research Productivity and Scientific Collaboration

Purpose: Big data, a buzzword of the present time, is a term used for extremly large data sets generated from the digital process which is not possible to analyze by traditional methods. These data sets are produced by digital devices such as smart phones, remote sensing, camera, microphones, RFID etc. The literature on big data is growing exponentially since 2011. Big data is tending to establish as a very important research field. This paper aims to explore the evolution, growth and scientific collaboration of the Indian publications in the field of big data. Design/methodology/approach: A survey approach is used in the study while data for the study is collected from Scopus database for the year 2001 to 2015. Bibliometric analysis, visualization and mapping software are used to present the current status, growth trends and collaboration in big data research to examine its diffusion in Indian scientific literature. Findings: We found that the big data research in India is gaining momentum and its diffusion and adoption is increasing tremendously. Conference and seminars are used to do social connect and interaction within the research community. The collaboration at institution level is found usual while collaboration at international level is low. Application of big data in health sciences and life sciences is yet to be explored in comparison to the social sciences and physical sciences. Originality/ Value: This paper presents the growth, trends and collaboration in big data literature by the use of sophisticated bibliometric software and visualization software

Implementation and Analysis of Different Equalizers using SIC and V-Blast Architecture for MIMO systems

Wireless communication transfers the information between two points without connected electrically to each other. Wireless operations permits to user to communicate long range or at any range without wires. Wireless communication is reliable, robust and secure. This paper evaluates the performance of detectors using V-BLAST architecture for multiple-input multiple-output (MIMO) systems. To Review the performance, the implementation of the multiuser receivers like the ZF detector, the MMSE receiver and SIC Successive Interference Cancellation is required. The algorithms of these receivers combined with multiuser receivers to achieve high channel capacity. Simulation result shows that instead of using equal number of transmitter and receiver antennas, this will get better performance of BER with increased number of receiver antennas only compared to transmitters

Assessing Subject Areas of Worldwide Information Literacy Research and Practice: A Discipline Co-Occurrence Network Analysis Approach

IL is important due to its potentiality to optimize the use of available information and to transform the novice into self-directed lifelong learners. It has gained ground and much attention in every field of knowledge which is assured by rapid increase in related literature. Since, the IL skills require subject-oriented approach not only to develop standard, guide, framework, tools, etc. but also to evaluate, assess, and impact of IL skills. Thus, measuring of the subject areas of IL publications and it co-occurrence is imperative and the objective of the present study. Based on data from Scopus database, network visualization technique is applied for the measure subject areas co-occurrence and related trends in the IL research articles published during 2001-16. IL publications show linear growth in the study period and trend is also in the same line. IL publications are spread into 26 out of 27 subject areas of Scopus database while there is research gap in Immunology and Microbiology. Social Science is observes as the core subject area while Computer Sciences, Arts and Humanities, Engineering, and Medicine are playing key role in IL research and practices. Social Sciences control the knowledge flow in the network i.e. every new ideas in the network is communicated through this. Highest co-occurrences are observed in Social Sciences and Computer Science followed by Social Sciences--Arts and Humanities; Social Sciences--Business, Management and Accounting; and Social Sciences--Medicine. The findings of the study are proxy of the current status and trend in the subject areas of worldwide IL publications thus provides panoramic view of IL publications in different subjects of world of knowledge

High Secured Image by LSB Steganography Technique using Matlab

Steganography is the one type of powerful technique which is science & art in which we have to write hidden messages, or we hide some important images, audio files, videos in this way that no-one, can find a hidden message which exists in cover images. Steganography is most strong techniques to mask the existence of unseen secret data within a cover object. Actually Stego means "Cover" graphy means "writing" that means It is nothing but we are hiding secret objects in cover image in which medium is different types of images. In practical feasible implementation practical approach would be to make the algorithm as strong as possible. In steganographed images are the most powerful objects that means cover objects, and therefore importance of image steganographed which can Embedding secret information inside images requires systematic computations, and therefore, at the time of designing steganography in hardware which getting high speeds in steganography. Various metrics were used to judge imperceptibility of steganography. The metrics in Matlab indicates how similar or dissimilar the stego-image compares with Cover. This paper intended to demonstrate LSB steganography, a commanding method for data and image security, its implementation on FPGA and calculate its parameters like SNR, BER for its to analyze its hiding capacity, And also Comparing these parameters of FPGA implementation with that of MATLAB implementation. In this thesis we will demonstrate LSB steganography, which is a powerful method for data and image security. DOI: 10.17762/ijritcc2321-8169.16042

Estimation of Missing Values in the Data Mining and Comparison of Imputation Methods

Many existing, industrial, and research data sets contain missing values (MVs). There are various reasons for their existence, such as manual data entry procedures, equipment errors, and incorrect measurements. The presence of such imperfections usually requires a preprocessing stage in which the data are prepared and cleaned,in order to be useful and sufficiently clear for the knowledge extraction process. MVs make the performance of data analysis difficult. The presence of MVs can also pose serious problems for researchers. In fact, in the appropriate handling of the MVs in the analysis may introduce bias and can result in misleading conclusions being drawn from a research study and can also limit the generalize ability of the research findings. The various types of problem are usually associated with MVs in data mining are (1) loss of efficiency;(2) complications in handling and analyzing the data; and(3)  bias resulting from differences between missing and complete data. We will focus our attention on the use of imputation methods. A fundamental advantage of this approach is that the MV treatment is independent of the learning algorithm used. For this reason, the user can select the most appropriate method for each situation he faces. In this paper, different methods of estimation of missing values are discussed. The comparison of different imputation methods is given by using non-parametric methods.&nbsp

Network Approach based Hindi Numeral Recognition

Handwriting has kept on persevering as a methods for correspondence and recording data in everyday life even with the presentation of new advancements. The steady improvement of PC apparatuses prompt the necessity of less demanding interface between the man and the PC. Written by hand character acknowledgment may for example be connected to Postal division acknowledgment, programmed printed frame securing, or checks perusing. The significance to these applications has prompted extraordinary research for quite a while in the field of disconnected manually written character acknowledgment. 'Hindi' the national dialect of India (written in Devanagri content) is world's third most prevalent dialect after Chinese and English. Hindi manually written character acknowledgment has got parcel of utilization in various fields like postal address perusing, checks perusing electronically. Acknowledgment of written by hand Hindi characters by PC machine is convoluted errand when contrasted with composed characters, which can be effortlessly perceived by the PC. This paper exhibits a plan to perceive hindi number numeral with the assistance of neural network

Factors Implicated in Smartphone Usage Distressing Individual

In today’s era usage of communication technology is increasing day by day whether it may be in the field of education or any other field. The dependency on these technological devices has been increased; it may be fruitful on one hand and problematic from some aspects on other side. People are not realizing the negative aspects of the usage but when they were asked they seemed to neglect the negative aspects as they are not concerned but some other day it will certainly affect them. The present study was done to identify the communication technology induced stressor, exploratory factor analysis has been done on the data collected  from 427 respondent and nine factor  are extracted containing variables which simply explains the smartphone uses stressor that  and those factors may be used for further analysis in  various studies related to smartphone usage

Measuring Information Literacy Core Competency of Social Science Researchers in National Capital Region, India

This study aims to empirically measure the Information Literacy Core Competency (ILCC) levels of social science researchers on ACRL’s Standards. The core concepts identified from standard I to V are: ‘Information Need’, ‘Information Access’, ‘Information Evaluation’, ‘Information Use’ and ‘Information Use Ethics’. The study was conducted on a sample of 520 researchers enrolled for Ph.D. in select central universities in National Capital Region, India. These researchers hail from different parts of the country and provide a pan India representation. The questionnaire schedule was developed translating each identified concept into a set of ten questions and 2 marks were allotted to each correct answer. Various techniques of descriptive statistics including frequency distribution, percentage, bar graph and tools of inferential statistics like One-way ANOVA, F-ratio and Post-Hoc test using LSD were applied for data analysis. A Performance and Competency Scale was used to measure the ILCC levels. The study indicates that on Standard I, 77.7% of the respondents comprising 15.8% from Economics, 14% from Sociology, 13.7% from Political Science, 12.3% from History and 11% from both Geography and Law were having ILCC to determine the extent and articulate information need. The ILCC level of the respondents on Standard II was found low as only 53.8% of the respondents including 12.1% from Economics, 9.4% from Law, 9.0% from Political Science, 8.5% from History, 7.5% from Sociology and 7.3% from Geography were identified competent in ILCC to access needed information effectively and efficiently. On the competency scale maximum 13.8% of respondents from Economics, followed by 13.4% from Sociology, 11.5% from Political Science, 9.6% from Law and 9.2% from both History and Geography constituted 66.9% of the respondents competent in ILCC on Standard III to evaluate information and its sources critically for its authenticity and reliability. As many as 76.2% of the respondents (16.2% from Economics, 14.4% from Sociology, 12.3% from History, 12.1% from Political Science, 10.8% from Geography and 10.4% from Law) have shown ILCC on Standard IV to use information effectively to accomplish a specific purpose. On Standard V, maximum 16.5% of respondents from Economics, followed by 15% from Political Science, 13.1% from History, 12.7% from Sociology, 11.3% from Law, and 11.0% from Geography constituted 79.6% of the respondents competent in ILCC to use information ethically and legally. Thus, on the competency scale, maximum 46.2% of the researchers for \u27Information Access\u27, followed by 33.1% for \u27Information Evaluation’, 23.8% in ‘Information Use\u27, 22.3% on \u27Information Need\u27 and 20.4% for \u27Information Use Ethics\u27 have shown incompetency in ILCC. The study also aims to identify and establish the ILCC levels of researchers within and across different subjects. The findings are supposed to be of great help to all the stakeholders to plan, organize and participate in various information literacy activities and ultimately enhance the IL competency of researchers