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Gupta, Jyoti
- Construction of the Social World in Narratives of Slum Children
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Authors
Affiliations
1 Department of Psychology, University of Delhi, Delhi, IN
1 Department of Psychology, University of Delhi, Delhi, IN
Source
Indian Journal of Health and Wellbeing, Vol 5, No 9 (2014), Pagination: 1109-1114Abstract
Stories are a part of a child's everyday experience and narration helps to describe this experience. Children from slum generate narrations to reflect their social world. This study attempts to explore slum children's construction of the social world in their narratives. To gain an in-depth understanding of children's construction of their social world, fifteen 6 and 7 year olds were selected from a slum area located in the city of Delhi. They were asked to narrate stories based on story leads and pictures which were provided to them. Their narrations were coded and significant themes such as: social engagement, personal likes and dishkes, mental state attribution, emotions and concern with authority emerged illustrating children construction of a meaningful social world through their narratives.Keywords
Narratives, Themes, Children, Social World.
- The Principles and Applications of Adaptive Filters:Adaptive Noise Cancelling, System Identification and Kalman Tracking
Abstract Views :215 |
PDF Views:9
Authors
Jyoti Gupta
1,
Akash Tayal
1
Affiliations
1 Guru Gobind Singh University, Department of Electronics & Communication Engineering, Delhi 110403, IN
2 Guru Gobind Singh University, department of Electronics & Communication Engineering, Delhi 110403, IN
1 Guru Gobind Singh University, Department of Electronics & Communication Engineering, Delhi 110403, IN
2 Guru Gobind Singh University, department of Electronics & Communication Engineering, Delhi 110403, IN
Source
Digital Signal Processing, Vol 4, No 6 (2012), Pagination: 223-228Abstract
The digital signal processing field provides better solution of problems such as noise or interference cancellation, echo cancellation etc in various applications of communications, signal processing and biomedical. This is essential to remove noise or distortion from the signals. In digital signal processing, adaptive filtering is most significant region to remove noise or distortion. There are number of adaptive algorithms were developed for noise cancellation but LMS and RLS algorithms are more popular than others. This paper presents principles & application of adaptive filtering using different adaptive algorithms and simulation has done at MATLAB platform. This paper shows the concept of adaptive noise cancellation and implements the least mean square (LMS) and recursive least square (RLS) adaptive algorithms for noise cancellation. LMS and RLS algorithms are filter the noise from the input signal and gives noise free output signal. To identify the unknown plant, system modeling is also done in this paper. System identification is done by using LMS, NLMS & RLS Algorithms and also shows comparison graph between them. This paper also presents kalman tracking behavior using RLS. Simulation results shows that the performance of RLS has better adaptive noise cancellation as compared to that of LMS and also shows that RLS has minimum error than LMS & NLMS. The Graph of tracking behavior shows that actual & estimated signal are almost same.
Keywords
Adaptive Filters, LMS, NLMS and RLS.- Application of Bradford's Law of Scattering to LIS Doctoral Theses: Dr. Harisingh Gour University, Sagar, India
Abstract Views :272 |
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Authors
Jyoti Gupta
1,
V. P. Khare
2
Affiliations
1 Mody Institute of Technology & Science (Deemed University), Lakshmangarh-Sikar (Raj.), IN
2 Department of Library and Information Science, Bundelkhand University, Jhansi, IN
1 Mody Institute of Technology & Science (Deemed University), Lakshmangarh-Sikar (Raj.), IN
2 Department of Library and Information Science, Bundelkhand University, Jhansi, IN
Source
Information Studies, Vol 19, No 3 (2013), Pagination: 181-200Abstract
This paper examines the pattern of citations by the researchers of Dr. Harisingh Gour University, Sagar, applying Bradford's Law of Scattering. The study covers 255 periodicals with 2953 citations collected from 35 doctoral theses till the year 2010. The time span 1986-1995 was the most productive years of cited periodicals. Contributions of journals are from USA, and the most cited journal is lASLIC Bulletin. Applying the Bradford Law of distribution to find out the core journals in the field of Library and information science. The journal distribution pattern of the LIS doctoral theses does not fit the graphical Bradford's distribution pattern. The distribution of journals was in three zones and the number of references in each zone calculated £is 3: 26: 226.The value of Bradford multiplier is 8.55. The applicability of Leimkuhler model was also tested.. The x^ value was 0.419, which is less than the 219.025 the table chi-square value at 5% significance level.Keywords
Bibliometrics Doctoral Theses, Citation Analysis, Bradford's Law, Bradford's Zones, Bradford's Distribution, Leimkuhler Model.References
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