Saha A.,Sikkim Manipal University
Computers and Mathematics with Applications | Year: 2017
The generalized Kadomtsev-Petviashvili modified equal width-Burgers (KP-MEW-Burgers) equation is introduced for the first time. The qualitative change of the traveling wave solutions of the KP-MEW-Burgers equation is studied using numerical simulations. Considering an external periodic perturbation, the periodic and chaotic motions of the perturbed KP-MEW-Burgers equation are investigated by using the phase projection analysis, time series analysis, Poincar. é section and bifurcation diagram. The parameter a (nonlinear coefficient) plays a crucial role in the periodic motions and chaotic motions through period doubling route to chaos of the perturbed KP-MEW-Burgers equation. © 2017 Elsevier Ltd.
Saha A.,Sikkim Manipal University
Physics of Plasmas | Year: 2017
Positron acoustic shock waves (PASHWs) in unmagnetized electron-positron-ion (e-p-i) plasmas consisting of mobile cold positrons, immobile positive ions, q-nonextensive distributed electrons, and hot positrons are studied. The cold positron kinematic viscosity is considered and the reductive perturbation technique is used to derive the Burgers equation. Applying traveling wave transformation, the Burgers equation is transformed to a one dimensional dynamical system. All possible vector fields corresponding to the dynamical system are presented. We have analyzed the dynamical system with the help of potential energy, which helps to identify the stability and instability of the equilibrium points. It is found that the viscous force acting on cold mobile positron fluid is a source of dissipation and is responsible for the formation of the PASHWs. Furthermore, fully nonlinear arbitrary amplitude positron acoustic waves are also studied applying the theory of planar dynamical systems. It is also observed that the fundamental features of the small amplitude and arbitrary amplitude PASHWs are significantly affected by the effect of the physical parameters q e, q h, μ e, μ h, σ, η, and U. This work can be useful to understand the qualitative changes in the dynamics of nonlinear small amplitude and fully nonlinear arbitrary amplitude PASHWs in solar wind, ionosphere, lower part of magnetosphere, and auroral acceleration regions. © 2017 Author(s).
Bhoi A.K.,Sikkim Manipal University
International Journal Bioautomation | Year: 2017
Problem arises when distinct morphologic changes are not seen in the electromyographic waveform of normal (control) and Parkinson's subjects during data interpretation. This study aimed to ascertain whether neuro-degenerative disease, e.g., Parkinson's disease (PD) affects gait and mobility with comparison to the healthy control. Fifteen subjects (left and right foot) from both the groups are selected where the signal is obtained using force-sensitive resistors (Gait Dynamics in Neuro-Degenerative Disease Data Base). The proposed methodology is divided into five parts: (i) 1 hr recording of gait dynamics data are segmented into three intervals (0-20 min, 20-40 min and 40-60 min); (ii) Normalization of each segmented data (20 min), i.e., preprocessing (noise and baseline drift removal); (iii) Then the frequency domain powers for each segments are calculated which further introduced features in the successive stages for classification and clustering; (iv) The classification of Parkinson's disease and healthy control group is accomplished using Linear Discriminant Analysis (LDA); (v) Clustering of these two classes is performed using K-means clustering algorithm taking same sets of features. Certainly the classification and clustering results signify the classification probability using frequency domain power of gait dynamics/electromyogram signal. The re-substitution error of LDA during classification is found to be 21.11%. Moreover, significant and precise classification and clustering results are achieved between PD and control taking left-right foot frequency domain power as classification features. © 2017 by the authors.
Saha A.,Sikkim Manipal University |
Tamang J.,Sikkim Manipal University
Physics of Plasmas | Year: 2017
Qualitative analysis of the positron acoustic (PA) waves in a four-component plasma system consisting of static positive ions, mobile cold positron, and Kaniadakis distributed hot positrons and electrons is investigated. Using the reductive perturbation technique, the Korteweg-de Vries (K-dV) equation and the modified KdV equation are derived for the PA waves. Variations of the total energy of the conservative systems corresponding to the KdV and mKdV equations are presented. Applying numerical computations, effect of parameter (κ), number density ratio (μ1) of electrons to ions and number density (μ2) of hot positrons to ions, and speed (U) of the traveling wave are discussed on the positron acoustic solitary wave solutions of the KdV and mKdV equations. Furthermore, it is found that the parameter κ has no effect on the solitary wave solution of the KdV equation, whereas it has significant effect on the solitary wave solution of the modified KdV equation. Considering an external periodic perturbation, the perturbed dynamical systems corresponding to the KdV and mKdV equations are analyzed by employing three dimensional phase portrait analysis, time series analysis, and Poincare section. Chaotic motions of the perturbed PA waves occur through the quasiperiodic route to chaos. © 2017 Author(s).
Sharma M.,Sikkim Manipal University |
Sharma K.,Sikkim Manipal University
Proceedings - International Conference on Communication Systems and Network Technologies, CSNT 2012 | Year: 2012
This paper studies LEACH protocol, some of its modified versions and finally puts forward a new version of LEACH called Energy Efficient Extended LEACH (EEE LEACH) protocol. This new version of LEACH protocol establishes multilevel clustering approach to minimize communication distance between nodes and introduces Master Cluster Heads along with Cluster Heads. Simulation has been done in MATLAB and simulation results show that EEE LEACH is more energy-efficient than LEACH protocol. © 2012 IEEE.
Dasgupta H.,Sikkim Manipal University
Sensing and Imaging | Year: 2016
The objective of this work is to make a neural network function approximation model to detect human age from the electrocardiogram (ECG) signal. The input vectors of the neural network are the Katz fractal dimension of the ECG signal, frequencies in the QRS complex, male or female (represented by numeric constant) and the average of successive R–R peak distance of a particular ECG signal. The QRS complex has been detected by short time Fourier transform algorithm. The successive R peak has been detected by, first cutting the signal into periods by auto-correlation method and then finding the absolute of the highest point in each period. The neural network used in this problem consists of two layers, with Sigmoid neuron in the input and linear neuron in the output layer. The result shows the mean of errors as (Formula presented.) , 1.03, 0.79 years and the standard deviation of errors as 1.81, 1.77, 2.70 years during training, cross validation and testing with unknown data sets, respectively. © 2016, Springer Science+Business Media New York.
Imtaiyaz Hassan M.,Jamia Millia Islamia University |
Shajee B.,Sikkim Manipal University |
Ahmad F.,Jamia Millia Islamia University
Bioorganic and Medicinal Chemistry | Year: 2013
The carbonic anhydrases enzymes (CAs, EC 18.104.22.168) are zinc containing metalloproteins, which efficiently catalyse the reversible conversion of carbon dioxide to bicarbonate and release proton. These enzymes are essentially important for biological system and play several important physiological and patho-physiological functions. There are 16 different alpha-carbonic anhydrase isoforms studied, differing widely in their cellular localization and biophysical properties. The catalytic domains of all CAs possess a conserved tertiary structure fold, with predominately β-strands. We performed an extensive analysis of all 16 mammalian CAs for its structure and function in order to establish a structure-function relationship. CAs have been a potential therapeutic target for many diseases. Sulfonamides are considered as a strong and specific inhibitor of CA, and are being used as diuretics, anti-glaucoma, anti-epileptic, anti-ulcer agents. Currently CA inhibitors are widely used as a drug for the treatment of neurological disorders, anti-glaucoma drugs, anti-cancer, or anti-obesity agents. Here we tried to emphasize how CAs can be used for drug discovery, design and screening. Furthermore, we discussed the role of CA in carbon capture, carbon sensor and metabolon. We hope this review provide many useful information on structure, function, mechanism, and applications of CAs in various discipline. © 2012 Elsevier Ltd. All rights reserved.
Singh P.,Sikkim Manipal University |
Pradhan B.,Sikkim Manipal University
Annals of Indian Academy of Neurology | Year: 2013
Background and Purpose: The purpose of this study was to assess the effectiveness of modified constraint induced movement therapy (m-CIMT) in stroke subjects. Materials and Methods: A total of forty sub-acute stroke subjects were randomly assigned to either a m-CIMT (n = 20) or in a control group (n = 20). The m-CIMT group (14 men, 6 women; mean age = 55.2 years) consisted of structured 2 h therapy sessions emphasizing affected arm use, occurring 5 times/week for 2 weeks. A mitt was used to restrain the unaffected arm for 10 h/day for 2 week. The control group (11 men, 9 women; mean age = 56.4 years) consisted of conventional rehabilitation for time-matched exercise program. The outcome measures were evaluated at pre- and post-intervention by using the Wolf Motor Function Test (WMFT) and Fugl-Meyer assessment (FMA) of motor recovery after stroke. Results: After intervention significant effects were observed in m-CIMT group on WMFT (pre-test and post-test score was 28.04 ± 6.58, 13.59 ± 2.86; P =0.003). Similarly on FMA (pre- and post-test score was 31.15 ± 6.37, 55.7 ± 6.4; P = 0.00). Conclusion: There is a significant improvem ent in upper extremity function so it indicates that m-CIMT is effective in improving the motor function of the affected arm in stroke subjects. However, its long-term effect has not proved since there was no follow-up after intervention.
News Article | November 4, 2016
WiseGuyReports.Com Publish a New Market Research Report On –“Distance Learning in India 2016 Market Expected to Grow at CAGR 11% and Forecast to 2020”. The analysts forecast the distance learning market in India to grow at a CAGR of 11% during the period 2016-2020. Technology plays an important role in enabling the growth of the country's economy and the education sector in particular. Higher education institutes are increasingly opting for online courses. Half of the population in India is estimated to be below 25 years of age. This population group adopts new technologies faster. The rapid growth in broadband penetration has led to an increase in the number of Internet users, and this is expected to expand further. For more information or any query mail at [email protected] Covered in this report The report covers the present scenario and the growth prospects of the distance learning market in India for 2016-2020. To calculate the market size, the report considers the number of enrollments in the distance learning market in India, which comprises of higher education students and working professionals. The report, Distance Learning Market in India 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market. Other prominent vendors • Avagmah • DLP India • Edureka • EMERITUS Institute of Management • Hughes Global Education • Sikkim Manipal University • TalentEdge • University18 • University of Delhi • UpGrad Market driver • Emerging methods of distance learning. • For a full, detailed list, view our report Market trend • Collaboration with universities and corporates. • For a full, detailed list, view our report Key questions answered in this report • What will the market size be in 2020 and what will the growth rate be? • What are the key market trends? • What is driving this market? • What are the challenges to market growth? • Who are the key vendors in this market space? • What are the market opportunities and threats faced by the key vendors? • What are the strengths and weaknesses of the key vendors? PART 02: Scope of the report • Market overview • Top-vendor offerings • Other prominent vendors PART 05: Market landscape • Role of technology in the higher education market • Education market in India • Online education in India PART 07: Market segmentation by product • Distance learning market in India by product • Traditional distance learning market • Online/blended distance learning market • Certifications and part-time courses PART 08: Market drivers • Emerging methods of distance learning • Rise in demand for online distance education • Increased government initiatives • Improvement in educational technology in India • Emergence of distance education for professionals PART 10: Market challenges • Complex regulatory environment • High drop-out ratio • Lack of accreditations and recognition • Shortage of trained teachers and trainers For more information or any query mail at [email protected] Wise Guy Reports is part of the Wise Guy Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe. Wise Guy Reports features an exhaustive list of market research reports from hundreds of publishers worldwide. We boast a database spanning virtually every market category and an even more comprehensive collection of market research reports under these categories and sub-categories.
News Article | November 7, 2016
MarketStudyReport.com adds “Distance Learning Market in India 2016-2020” new report to its research database. The report spread across 58 pages with table and figures in it. The Report analysts forecast the distance learning market in India to grow at a CAGR of 11% during the period 2016-2020. Technology plays an important role in enabling the growth of the country's economy and the education sector. Higher education institutes are increasingly opting for online courses. Half of the population in India is estimated to be below 25 years of age. This population group adopts new technologies faster. The rapid growth in broadband penetration has led to an increase in the number of Internet users, and this is expected to expand further. Browse full table of contents and data tables at https://www.marketstudyreport.com/reports/distance-learning-market-in-india-2016-2020/ The report covers the present scenario and the growth prospects of the distance learning market in India for 2016-2020. To calculate the market size, the report considers the number of enrollments in the distance learning market in India, which comprises of higher education students and working professionals. The Report Distance Learning Market in India 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market. Key vendors EduKart Indira Gandhi National Open University (IGNOU) SchoolGuru Symbiosis Centre for Distance Learning (SCDL) Other prominent vendors Avagmah DLP India Edureka EMERITUS Institute of Management Hughes Global Education Sikkim Manipal University TalentEdge University18 University of Delhi UpGrad Market driver Emerging methods of distance learning. For a full, detailed list, view our report Market challenge Complex regulatory environment. For a full, detailed list, view our report Market trend Collaboration with universities and corporates. For a full, detailed list, view our report Key questions answered in this report What will the market size be in 2020 and what will the growth rate be? What are the key market trends? What is driving this market? What are the challenges to market growth? Who are the key vendors in this market space? What are the market opportunities and threats faced by the key vendors? What are the strengths and weaknesses of the key vendors? To receive personalized assistance, write to us @ [email protected] with the report title in the subject line along with your questions or call us at +1 866-764-2150