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Kalyani, K.
- Lyman Alpha Photometer: a far-ultraviolet sensor for the study of hydrogen isotope ratio in the Martian exosphere
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PDF Views:150
Authors
Raja V. L. N. Sridhar
1,
M. V. H. Rao
1,
K. Kalyani
1,
Anand Chandran
1,
Monika Mahajan
1,
J. D. P. V. Tayaramma
1,
K. V. S. Bhaskar
1,
K. B. Pramod
1,
L. V. Prasad
1,
A. S. Laxmiprasad
1,
P. Chakraborty
1,
J. A. Kamalakar
1,
G. Nagendra Rao
1,
M. Viswanathan
1
Affiliations
1 Laboratory for Electro-Optics Systems, Indian Space Research Organisation, Bengaluru 560 058, IN
1 Laboratory for Electro-Optics Systems, Indian Space Research Organisation, Bengaluru 560 058, IN
Source
Current Science, Vol 109, No 6 (2015), Pagination: 1114-1120Abstract
The Lyman Alpha Photometer (LAP), developed for flight on the Mars Orbiter Mission (MOM) spacecraft in 2013, is primarily designed to measure deuterium to hydrogen abundance ratio of the Martian exosphere over a 6-month period from a 263 km × 71,358 km elliptical orbit around Mars. A set of ultrapure (99.999%) hydrogen and deuterium gas-filled cells comprising tungsten filaments, a 25 mm diameter collection lens and a solar-blind photomultiplier tube together with an 8 nm bandpass Lyman alpha filter are the principal electro-optical assemblies of the instrument. This article presents scientific objectives of LAP and its performance specifications along with details of instrument design. The ground characterization techniques to assess LAP operational performance are also presented. End-to-end test results and evaluation matrix of LAP were satisfactory, well within the desired specifications. The first LAP onboard operation was carried out during the cruise phase of MOM spacecraft journey to verify its functionality and all recorded on-board health parameters were satisfactory.Keywords
Absorption gas cell, hydrogen isotope ratio, Martian exosphere, photometerFull Text
References
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- A Comparative Study on the Perceived Applicability of Honey Bee Mating Optimization Algorithm (HBMO) and Particle Swarm Optimization (PSO) Algorithm by Applying Three Factor Theory among Researchers in Tamil Nadu
Abstract Views :460 |
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Authors
Affiliations
1 Department of Computer Science, A.V.V.M. Sri. Pushpam College, IN
1 Department of Computer Science, A.V.V.M. Sri. Pushpam College, IN
Source
ICTACT Journal on Soft Computing, Vol 5, No 3 (2015), Pagination: 953-964Abstract
The perceived applicability of honey bee mating optimization HBMO and Particle Swarm Optimization PSO among the research scholars in Tamil Nadu are understudied. The purpose of the present study is to address this dearth in the literature in three ways: (i) providing descriptive data related to the applicability of these algorithm in their area of study. (ii) Applying Three Factor theory to assess the perceived range of applicability of the two said theories and to develop, a theoretically-based model that predicts the applicability and robustness of the algorithm in comparative basis grounded on the perceptual data collected from the research scholars from all over Tamil Nadu. (iii) Attempting to compare the strength and form of correlation between the factors of influence and perceived applicability of the algorithms in the research process by the researchers. Self-report data were collected from Researchers in Tamil Nadu (n = 869), assessing the levels of individual personal belief factors in influencing the scholars perception of applicability of the algorithm for a range of issues, perception based on the results produced by the application of the algorithm. Perceptions formed in conformity with a group of researchers were analyzed through statistical tools. From the findings analysis, it is evident that perceptions of personal belief level and perception based on conformity with peer group perceptions have significant influences in predicting the applicability of the Algorithms. However, the study results suggest that empirical result is based in on the specified context and level of investigation on which it can produce similar or varied outcomes when the study is conducted to larger domain of subjects.Keywords
Honey Bee Mating Optimization, Particle Swarm Optimization, Three Factor Theory, Personal Belief System.
- Load Profile Clustering: An Algorithmic Approach With Improved Replacement in Bee Optimization Algorithm
Abstract Views :233 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science, T.U.K. Arts College, IN
2 Department of Computer Science, A. Veeriya Vandayar Memorial Sri Pushpam College, IN
1 Department of Computer Science, T.U.K. Arts College, IN
2 Department of Computer Science, A. Veeriya Vandayar Memorial Sri Pushpam College, IN
Source
ICTACT Journal on Soft Computing, Vol 5, No 2 (2015), Pagination: 905-910Abstract
The chief aim of this paper is to develop an effective approach to the issue of load profile clustering by applying Improved Replacement In Bee Optimization algorithm (IRIBO). While, intelligent metering solutions like Automated Meter Reading (AMR), Automated Meter Infrastructure (AMI) are in place to address the current issues prevailing in the domain of electricity markets, algorithm using Improved Replacement In Bee Optimization has been proved beneficial and uncomplicated to apply within a selective database. In this study Load Profile (LP) clustering distribution networks based on the shape of the load profile was studied for fitness function in the selected LP clustering. The results clearly indicate that LP clustering has advantages in providing metering solutions to consumers who do not possess digital metering which can be easily operated with trivial changes in the calibrations.Keywords
Load Profiling, Honey Bee Modeling, Improved Replacement In Bee Optimization Algorithm, Clustering Techniques.- An Innovative Web Mining Application on Blogs - A Layout
Abstract Views :237 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science, AVVM Sri Pushpam College, Tamil Nadu, IN
2 Department of Computer Science, T.U.K Arts College, Tamil Nadu, IN
1 Department of Computer Science, AVVM Sri Pushpam College, Tamil Nadu, IN
2 Department of Computer Science, T.U.K Arts College, Tamil Nadu, IN