Refine your search
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Chakraverty, S.
- Realization of Single-Terminated Nano Step-and-Terrace-Like Surface of SrTio3 Single Crystals: Institute of Nano Science and Technology, Mohali
Abstract Views :445 |
PDF Views:153
Authors
Affiliations
1 Institute of Nano Science and Technology, Habitat Centre, Phase-10, Sector-64, Mohali 160 062, IN
1 Institute of Nano Science and Technology, Habitat Centre, Phase-10, Sector-64, Mohali 160 062, IN
Source
Current Science, Vol 108, No 5 (2015), Pagination: 787-788Abstract
Oxide interfaces and superlattices are of growing interest because of their potential in next generation spin-electronic devices. To obtain high quality oxide interface and superlattice, atomically flat and well defined substrate surface is essential. We have developed a mild and chemical free process through which such high quality step-and-terrace-like surface of perovskite substrates can be achieved.Keywords
Atomic Stacking, Clean Interfaces, Perovskite Oxide, Single Crystals.Full Text
- Adaptive Content Based Textual Information Source Prioritization
Abstract Views :213 |
PDF Views:0
Authors
Affiliations
1 Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, IN
2 Division of Computer Engineering, Netaji Subhas Institute of Technology, IN
1 Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, IN
2 Division of Computer Engineering, Netaji Subhas Institute of Technology, IN
Source
ICTACT Journal on Soft Computing, Vol 5, No 1 (2014), Pagination: 829-835Abstract
The world-wide-web offers a posse of textual information sources which are ready to be utilized for several applications. In fact, given the rapidly evolving nature of online data, there is a real risk of information overload unless we continue to develop and refine techniques to meaningfully segregate these information sources. Specifically, there is a dearth of content-oriented and intelligent techniques which can learn from past search experiences and also adapt to a user's specific requirements during her current search. In this paper, we tackle the core issue of prioritizing textual information sources on the basis of the relevance of their content to the central theme that a user is currently exploring. We propose a new Source Prioritization Algorithm that adopts an iterative learning approach to assess the proclivity of given information sources towards a set of user-defined seed words in order to prioritise them. The final priorities obtained serve as initial priorities for the next search request. This serves a dual purpose. Firstly, the system learns incrementally from several users' cumulative search experiences and re-adjusts the source priorities to reflect the acquired knowledge. Secondly, the refreshed source priorities are utilized to direct a user's current search towards more relevant sources while adapting also to the new set of keywords acquired from that user. Experimental results show that the proposed algorithm progressively improves the system's ability to discern between different sources, even in the presence of several random sources. Further, it is able to scale well to identify the augmented information source when a new enriched information source is generated by clubbing existing ones.Keywords
Textual Information Source Prioritization, Search Engines, Domain Specificity, Term-Source Matrix, Text Information Density.
- An Adaptive ACO-driven Scheme for Learning Aim Oriented Personalized E-Learning
Abstract Views :210 |
PDF Views:0
Authors
Affiliations
1 Division of Computer Engineering, Netaji Subhas Institute of Technology, IN
1 Division of Computer Engineering, Netaji Subhas Institute of Technology, IN
Source
ICTACT Journal on Soft Computing, Vol 5, No 1 (2014), Pagination: 850-859Abstract
The e-learning paradigm is now a well-established vehicle of modern education. It caters to a wide spectrum of students with diverse backgrounds who enroll with their own learning aims. A core challenge under this scenario is to generate personalized learning paths so that each student can achieve her learning aim most effectively. Prior works used static attributes such as prior knowledge level, learning ability, browsing preferences, learning style etc. to generate personalized learning paths. In this paper, we take an entirely new route by taking into account the continuous improvement of a learner in the light of her own learning aim, to redefine her learning path at each level of the course. We introduce the concept of personalized examination system that systematically evaluates the dynamic learning ability of every student according to her pre-set goals. The proposed intelligent e-learning system uses Ant Colony Optimization to iteratively optimize the forward learning paths. Experimental results reveal that the system is able to tap a student's improved learning ability to choose more difficult paths that contribute highly towards her own aims. We demonstrate that the overall learning success of weaker students doubles as compared to statically generated paths while there is considerable improvement of 50% in the learning success for average students as well. This clearly indicates that our approach gives realistic benefits to initially weak students who gradually evolve as the course progresses.Keywords
Personalized e-Learning, Learning Aims, Ant Colony Optimization, Dynamic Learning Ability, Learning Success.- Solving Uncertain Differential Equation with Fuzzy Boundary Conditions
Abstract Views :507 |
PDF Views:0
Authors
T. D. Rao
1,
S. Chakraverty
1
Affiliations
1 Department of Mathematics, National Institute of Technology Rourkela, Odisha-769008, IN
1 Department of Mathematics, National Institute of Technology Rourkela, Odisha-769008, IN
Source
The Journal of the Indian Mathematical Society, Vol 86, No 3-4 (2019), Pagination: 286-295Abstract
In this paper, a novel technique has been developed for solving a general linear dierential equation with fuzzy boundary conditions. The target has been to use the developed technique to solve in particular the radon transport (subsurface soil to buildings) equation with uncertain (fuzzy) boundary conditions. The fuzzy boundary condition has been described by a triangular fuzzy number (TFN). Corresponding results are presented in term of plots and are also compared with crisp ones.Keywords
Advection, Diffusion, Fuzzy, Geometric, Radon.References
- Moore, R. E., Kearfott, R. B., and Cloud, M. J, Introduction to interval analysis, Society for Industrial and Applied Mathematics (2009).
- Bede, B., and Gal, S. G. . Almost periodic fuzzy-number-valued functions. Fuzzy Sets and Systems, 147(3)(2004), 385-403.
- Gasilov, N., Amrahov, S. G., and Fatullayev, A. G. . A geometric approach to solve fuzzy linear systems of differential equations, arXiv preprint arXiv:0910.4307 (2009).
- Kaleva, O. Fuzzy differential equations. Fuzzy sets and systems, 24(3)(1987), 301-317.
- Behera, D., and Chakraverty, S. New approach to solve fully fuzzy system of linear equations using single and double parametric form of fuzzy numbers. Sadhana, 40(1)(2015),35-49.
- Parandin, N. Numerical solution of fuzzy differential equations of nth order by Runge Kutta method, Neural Computing and Applications, 21(1)(2012), 347-355.
- S. Tapaswini, S., and Chakraverty,S. New analytical method for solving n-th order fuzzy differential equations, Annals of Fuzzy Mathematics and Informatics. 8(2014), 231-244.
- Chakraverty, S., Tapaswini, S. and Behera, D., Fuzzy Differential Equations and Applications for Engineers and Scientists, CRC Press Taylor and Francis Group, Boca Raton,United States, (2016).
- Tapaswini, S., and Chakraverty, S. New Midpoint-based Approach for the Solution of n-th Order Interval Differential Equations, (2014).
- Allahviranloo, T., Kiani, N. A., & Motamedi, N. Solving fuzzy differential equations by differential transformation method. Information Sciences, 179(7)(2009), 956-966.
- Chalco-Cano, Y., and Rom´an-Flores, H. On new solutions of fuzzy differential equations. Chaos, Solitons & Fractals, 38(1)(2008), 112-119.
- Chang, S. S., and Zadeh, L. A. On fuzzy mapping and control. IEEE Transactions on Systems, Man, and Cybernetics, (1)(1972), 30-34.
- Khastan, A., Bahrami, F., and Ivaz, K. New results on multiple solutions for nthorder fuzzy differential equations under generalized differentiability. Boundary Value Problems, 2009(1), 395714.
- Xu, J., Liao, Z., and Hu, Z. A class of linear differential dynamical systems with fuzzy initial condition, Fuzzy sets and systems, 158(21)(2007), 2339-2358.
- Nazaroff, W. W. Radon transport from soil to air, Reviews of Geophysics, 30(2)(1992),137-160.
- Kohl, T., Medici, F., and Rybach, L. Numerical simulation of radon transport from subsurface to buildings, Journal of applied geophysics, 31(1)(1994), 145-152.
- Kozak, J. A., Reeves, H. W., and Lewis, B. A. Modeling radium and radon transport through soil and vegetation, Journal of contaminant hydrology, 66(3)(2003), 179-200.
- Savovi´c, S., Djordjevich, A., and Risti´c, G. Numerical solution of the transport equation describing the radon transport from subsurface soil to buildings, Radiation protection dosimetry, 150(2)(2012), 213-216.
- Telford, W. M. Radon mapping in the search for uranium,In Developments in Geophysical Exploration Methods—4, Springer Netherlands, (1983), 155-194.
- Escobar, V. G., Tome, F. V., and Lozano, J. C.Procedures for the determination of 222-Rn exhalation and effective 226 Ra activity in soil samples, Applied radiation and Isotopes, 50(6)(1999), 1039-1047.
- Schery, S. D., Holford, D. J., Wilson, J. L., and Phillips,F. M. The flow and Diffusion of radon isotopes in fractured porous media Part 2, Semi infinite media, Radiation Protection Dosimetry, 24(1-4)(1988), 191-197.