m saravanan - Academia.edu (original) (raw)
Papers by m saravanan
European Journal of Nanomedicine, 2013
ABSTRACT Nanomedicine is the most emerging, multi-disciplinary field of research that is gaining ... more ABSTRACT Nanomedicine is the most emerging, multi-disciplinary field of research that is gaining popularity in recent years. Nanomedicine encompasses medical applications of nanomaterials, nanoelectronic biosen-sors including future applications of molecular nano-technology. Nanomedical approaches to drug delivery, wound healing and treatment of certain diseases center on developing nanoscale particles such as sterocom-plexed polymers and hydrogels or similar molecules to improve drug bioavailability. These polymers are bio-degradable, bioactive, biocompatible and their strong interactions with the drug help in sustained release of the drug for longer periods. The formulation of these drugs and sterocomplexed polymers to be used as con-trolled drug delivery system are discussed in this tutorial review. Polymer stereocomplexes have a great promise in sustained delivery of human growth hormone, insu-lin, Leuprolide, Bupivacaine, Dexamethanosone, Doxo-rubicin, Haloperidol and vaccines. Various novel ideas of drug delivery into eye, uterus (birth control), targeted cancer therapy and brain diseases (Parkinson ' s and Alz-heimer ' s diseases).
2011 International Conference on Advances in Social Networks Analysis and Mining, 2011
Abstract With millions of registered users and a phenomenal increase in the amount of information... more Abstract With millions of registered users and a phenomenal increase in the amount of information exchange between them, it is clear that social networks are becoming increasingly popular on the Internet. Due to this popularity, they have become an ...
Social Network Analysis and Mining, 2011
Social network analysis and mining has been highly influenced by the online social web sites, tel... more Social network analysis and mining has been highly influenced by the online social web sites, telecom consumer data and instant messaging systems and has widely analyzed the presence of dense communities using graph theory and machine learning techniques. Mobile social network analysis is the mapping and measuring of interactions and flows between people, groups, and organizations based on the usage of their mobile communication services. Community identification and mining is one of the recent major directions in social network analysis. In this paper we find the communities in the network based on a modularity factor. Then we propose a graph theory-based algorithm for further split of communities resulting in smaller sized and closely knit sub-units, to drill down and understand consumer behavior in a comprehensive manner. These sub-units are then analyzed and labeled based on their group behavior pattern. The analysis is done using two approaches:-rule-based, and cluster-based, for comparison and the able usage of information for suitable labeling of groups. Moreover, we measured and analyzed the uniqueness of the structural properties for each small unit; it is another quick and dynamic way to assign suitable labels for each distinct group. We have mapped the behavior-based labeling with unique structural properties of each group. It reduces considerably the time taken for processing and identifying smaller sub-communities for effective targeted marketing. The efficiency of the employed algorithms was evaluated on a large telecom dataset in three different stages of our work.
International Journal of Enterprise Network Management, 2010
... This may provide students with the Page 6. 188 M. Saravanan opportunity to find a reasonable ... more ... This may provide students with the Page 6. 188 M. Saravanan opportunity to find a reasonable vendor for RP parts. ... Based on these observations, it was concluded that strength of FDM processed part is anisotropic. Anitha et al. ...
Knowledge and Information Systems, 2006
In this paper, we propose a novel idea for applying probabilistic graphical models for automatic ... more In this paper, we propose a novel idea for applying probabilistic graphical models for automatic text summarization task related to a lega l domain. Identification of rhetorical roles presen t in the sentences of a legal document is the importa nt text mining process involved in this task. A Conditional Random Field (CRF) is applied to segment a given legal
Procedia …, 2010
'Fatigue Ratcheting' is a phenomenon which leads to reduction in fatigue life of a structural com... more 'Fatigue Ratcheting' is a phenomenon which leads to reduction in fatigue life of a structural component by loss of ductility due to cycle-by-cycle accumulation of plastic strain. One real-life example of a situation with fatigue ratcheting possibility is piping of power plants subjected to internal pressure (primary load) and cyclic bending (secondary load). Fatigue ratcheting studies were carried out on TP304 LN stainless steel straight pipes of 168 mm outer diameter subjected to steady internal pressure and four point cyclic bending. The length and average thickness of the pipes were 2800 mm and 15 mm respectively. The thickness was reduced to 12 mm in the gauge length portion of 200 mm at the centre of the pipe. Post-yield two element rosette strain gauges were mounted at various locations within the gauge length to measure the longitudinal and circumferential strains. The pipes were filled with water and pressurized; the pressure was maintained at 35 MPa till the first through-thickness crack was observed. Cyclic bending load was applied on the pipes by subjecting them to different levels of load-line displacements. Number of cycles corresponding to through-thickness crack/s and final failure of the component were recorded. During the tests, load, load-line displacement and deflections at three locations were continuously monitored. Local bulging, ovalization and consequent thinning of the pipe cross-section were observed due to fatigue ratcheting. These ratcheting studies on pressurized piping components of power plants give valuable inputs necessary for designing the components and assuring the integrity of pressure boundary under design basis loads such as loads arising during an earthquake event.
ABSTRACT a b s t r a c t We investigate the propagation dynamics of electromagnetic soliton in a ... more ABSTRACT a b s t r a c t We investigate the propagation dynamics of electromagnetic soliton in a weak ferromagnet with Dzyaloshinskii–Moriya interaction and uniaxial anisotropy along the propagation of electromagnetic (EM) wave. We perform the analysis in the framework of Landau–Lifshitz (LL) equation governing the spin evolution in ferromagnet and Maxwell (M) equations representing the electromagnetic wave propagation. We invoke the reductive perturbation method, and a nonuniform expansion is carried out on the coupled LLM equations which is reduced to a perturbed derivative nonlinear Schrödinger (pDNLS) equation for a new complex field that govern the spin excitations under the influence of EM wave. The pDNLS equation is systematically solved through the tangent-hyperbolic method and a class of soliton solutions are constructed. Further, the collision of EM wave soliton and the influence of Dzyaloshinkii–Moriya interaction is established via Hirota bilinerization method. & 2013 Elsevier B.V. All rights reserved.
European Journal of Nanomedicine, 2013
ABSTRACT Nanomedicine is the most emerging, multi-disciplinary field of research that is gaining ... more ABSTRACT Nanomedicine is the most emerging, multi-disciplinary field of research that is gaining popularity in recent years. Nanomedicine encompasses medical applications of nanomaterials, nanoelectronic biosen-sors including future applications of molecular nano-technology. Nanomedical approaches to drug delivery, wound healing and treatment of certain diseases center on developing nanoscale particles such as sterocom-plexed polymers and hydrogels or similar molecules to improve drug bioavailability. These polymers are bio-degradable, bioactive, biocompatible and their strong interactions with the drug help in sustained release of the drug for longer periods. The formulation of these drugs and sterocomplexed polymers to be used as con-trolled drug delivery system are discussed in this tutorial review. Polymer stereocomplexes have a great promise in sustained delivery of human growth hormone, insu-lin, Leuprolide, Bupivacaine, Dexamethanosone, Doxo-rubicin, Haloperidol and vaccines. Various novel ideas of drug delivery into eye, uterus (birth control), targeted cancer therapy and brain diseases (Parkinson ' s and Alz-heimer ' s diseases).
2011 International Conference on Advances in Social Networks Analysis and Mining, 2011
Abstract With millions of registered users and a phenomenal increase in the amount of information... more Abstract With millions of registered users and a phenomenal increase in the amount of information exchange between them, it is clear that social networks are becoming increasingly popular on the Internet. Due to this popularity, they have become an ...
Social Network Analysis and Mining, 2011
Social network analysis and mining has been highly influenced by the online social web sites, tel... more Social network analysis and mining has been highly influenced by the online social web sites, telecom consumer data and instant messaging systems and has widely analyzed the presence of dense communities using graph theory and machine learning techniques. Mobile social network analysis is the mapping and measuring of interactions and flows between people, groups, and organizations based on the usage of their mobile communication services. Community identification and mining is one of the recent major directions in social network analysis. In this paper we find the communities in the network based on a modularity factor. Then we propose a graph theory-based algorithm for further split of communities resulting in smaller sized and closely knit sub-units, to drill down and understand consumer behavior in a comprehensive manner. These sub-units are then analyzed and labeled based on their group behavior pattern. The analysis is done using two approaches:-rule-based, and cluster-based, for comparison and the able usage of information for suitable labeling of groups. Moreover, we measured and analyzed the uniqueness of the structural properties for each small unit; it is another quick and dynamic way to assign suitable labels for each distinct group. We have mapped the behavior-based labeling with unique structural properties of each group. It reduces considerably the time taken for processing and identifying smaller sub-communities for effective targeted marketing. The efficiency of the employed algorithms was evaluated on a large telecom dataset in three different stages of our work.
International Journal of Enterprise Network Management, 2010
... This may provide students with the Page 6. 188 M. Saravanan opportunity to find a reasonable ... more ... This may provide students with the Page 6. 188 M. Saravanan opportunity to find a reasonable vendor for RP parts. ... Based on these observations, it was concluded that strength of FDM processed part is anisotropic. Anitha et al. ...
Knowledge and Information Systems, 2006
In this paper, we propose a novel idea for applying probabilistic graphical models for automatic ... more In this paper, we propose a novel idea for applying probabilistic graphical models for automatic text summarization task related to a lega l domain. Identification of rhetorical roles presen t in the sentences of a legal document is the importa nt text mining process involved in this task. A Conditional Random Field (CRF) is applied to segment a given legal
Procedia …, 2010
'Fatigue Ratcheting' is a phenomenon which leads to reduction in fatigue life of a structural com... more 'Fatigue Ratcheting' is a phenomenon which leads to reduction in fatigue life of a structural component by loss of ductility due to cycle-by-cycle accumulation of plastic strain. One real-life example of a situation with fatigue ratcheting possibility is piping of power plants subjected to internal pressure (primary load) and cyclic bending (secondary load). Fatigue ratcheting studies were carried out on TP304 LN stainless steel straight pipes of 168 mm outer diameter subjected to steady internal pressure and four point cyclic bending. The length and average thickness of the pipes were 2800 mm and 15 mm respectively. The thickness was reduced to 12 mm in the gauge length portion of 200 mm at the centre of the pipe. Post-yield two element rosette strain gauges were mounted at various locations within the gauge length to measure the longitudinal and circumferential strains. The pipes were filled with water and pressurized; the pressure was maintained at 35 MPa till the first through-thickness crack was observed. Cyclic bending load was applied on the pipes by subjecting them to different levels of load-line displacements. Number of cycles corresponding to through-thickness crack/s and final failure of the component were recorded. During the tests, load, load-line displacement and deflections at three locations were continuously monitored. Local bulging, ovalization and consequent thinning of the pipe cross-section were observed due to fatigue ratcheting. These ratcheting studies on pressurized piping components of power plants give valuable inputs necessary for designing the components and assuring the integrity of pressure boundary under design basis loads such as loads arising during an earthquake event.
ABSTRACT a b s t r a c t We investigate the propagation dynamics of electromagnetic soliton in a ... more ABSTRACT a b s t r a c t We investigate the propagation dynamics of electromagnetic soliton in a weak ferromagnet with Dzyaloshinskii–Moriya interaction and uniaxial anisotropy along the propagation of electromagnetic (EM) wave. We perform the analysis in the framework of Landau–Lifshitz (LL) equation governing the spin evolution in ferromagnet and Maxwell (M) equations representing the electromagnetic wave propagation. We invoke the reductive perturbation method, and a nonuniform expansion is carried out on the coupled LLM equations which is reduced to a perturbed derivative nonlinear Schrödinger (pDNLS) equation for a new complex field that govern the spin excitations under the influence of EM wave. The pDNLS equation is systematically solved through the tangent-hyperbolic method and a class of soliton solutions are constructed. Further, the collision of EM wave soliton and the influence of Dzyaloshinkii–Moriya interaction is established via Hirota bilinerization method. & 2013 Elsevier B.V. All rights reserved.