Patents Assigned to SRM Institute of Science and Technology
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Patent number: 11382945Abstract: The present disclosure provides a polyherbal composition for preventing and alleviating Polycystic ovary syndrome. The composition comprises an insulin regulator selected from Cinnamomum zeylyanicum and Trigonella foenum, a blood sugar regulator selected from Garcinea cambogia and Emblica officinalis, a cholesterol lowering agent selected from Linum usittatissimum and Tribulus terrestris, a prolactin regulator selected from Vitex agnus-castus and Trachyspermum ammi, a cyst shrinking component selected from Zingiber officinale and Putranjiva roxburghii, an androgen regulator selected from Ocimum sanctum, Glycyrrhiza glabra and Mentha spicate, an adrenal gland regulator selected from Withania somnifera and Sesamum indicum, an inositol containing component selected from Oryza sativa and Cicer arietinum, a binder selected from Ferula foetida and Prunus amygdalus along with a pharmaceutically acceptable excipient.Type: GrantFiled: June 21, 2019Date of Patent: July 12, 2022Assignee: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventors: Karunanidhi Santhana Lakshmi, Marakanam Srinivasan Uma Shankar, Vellapandian Chitra, Mohan Sumithra, Thangavel Mahalingam Vijaya Kumar
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Patent number: 11110064Abstract: The present disclosure relates to a gel formulation for treating diabetic foot ulcer infections. The gel formulation comprises antibiotic loaded aquasomes, a gelling agent, a preservative, and a fluid medium. The gel formulation of the present disclosure can be used for treating diabetic foot ulcer infections in mammals.Type: GrantFiled: December 16, 2018Date of Patent: September 7, 2021Assignee: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventor: Marakanam Srinivasan Uma Shankar
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Patent number: 10973798Abstract: A dispersion of formononetin solid lipid nanoparticles and process for its preparation, namely having (i) a core system comprising formononetin, a lipid base, and a fluid medium, and (ii) an emulsifier system comprising an emulsifier, and water. The dispersion of formononetin solid lipid nanoparticles of the present disclosure can be used for treating cancer, osteoporosis, diabetes, and inflammation. The dispersion of formononetin solid lipid nanoparticles of the present disclosure are biocompatible, biodegradable, has improved solubility, has enhanced controlled drug release profile and are stable.Type: GrantFiled: December 23, 2018Date of Patent: April 13, 2021Assignee: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventors: Karunanidhi Santhana Lakshmi, Vaithialingam Jagannathan Vishnu Varthan
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Publication number: 20150379201Abstract: An individual has a large number of health related transactions during their lifecycle right from birth. As technology is fast evolving and medical profession demanding accurate description of a situation for effective handling of the patients, it is very useful, and often a necessity, to keep a record of all of the health related transactions. A system and method for recording the large and growing number of health transactions in a structured manner, analyzing and relating of the same, and making them available to any agency is described. The structuring of the transactions is based on a set of dimensions and the analysis leads to the linking of the transactions across these dimensions and deriving of the meta-information for assisting the individual to be more health conscious.Type: ApplicationFiled: June 25, 2014Publication date: December 31, 2015Applicant: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventors: Sridhar Varadarajan, Sridhar Gangadharpalli, Amit Thawani
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Publication number: 20140186815Abstract: An educational institution (also referred as a university) is structurally modeled using a university model graph. A key benefit of modeling of the educational institution is to help in an introspective analysis by the educational institute. Specifically, the model is quite beneficial for undertaking the analysis of the various issues faced by the educational institute. A what-if scenario requires the model to be suitably changed to address the issue under consideration and the changed model needs to be analyzed to determine how the issue could be handled. A system and method for what-if scenario analysis based on the university model graph is discussed.Type: ApplicationFiled: November 26, 2013Publication date: July 3, 2014Applicant: SRM Institute of Science and TechnologyInventors: Sindhar Varadarajan, Srividya Gopalan, Preethy Iyer, Amit Thawani
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Publication number: 20140172508Abstract: An educational institution (also referred as a university) is structurally modeled using a university model graph. A key benefit of modeling of the educational institution is to help in an introspective analysis by the educational institute. The analysis of the various activities performed on the university campus by the various entities (such as students) of the university leads to the generation of student specific activity maps. These maps play a role in counseling students in organizing and planning of their activities in the context of the university. A system and method for automated generation of mirror maps involves the combined analysis of a set of activity maps of a set of students to measure their similarities. Such similarities help, for example, in the process of formation of teams, and identification of meeting times and venues.Type: ApplicationFiled: November 5, 2013Publication date: June 19, 2014Applicant: SRM Institute of Science and TechnologyInventors: Sridhar Varadarajan, Preethy Iyer, Meera Divya Munipalli Venugopal
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Publication number: 20140172844Abstract: An educational institution (also referred as a university) is structurally modeled using a university model graph. A key benefit of modeling of the educational institution is to help in an introspective analysis by the educational institute. In order to build an effective university model graph, it is required to gather and analyze the various activities performed on the university campus by the various entities of the university. A system and method for automated generation of activity maps involves analysis of multiple student specific activity flows (activities), and aggregating and abstracting them to generate a variety of student-specific activity maps. These activity maps play a role in the student counseling process.Type: ApplicationFiled: May 9, 2013Publication date: June 19, 2014Applicant: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventor: SRIDHAR VARADARAJAN
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Publication number: 20140156551Abstract: An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. Relating and correlating this data at and across various levels help in obtaining a perspective about the educational institution. A structural representation captures the essence of all of the relationships in a unified manner and an important aspect of the relationship is the so-called “influence factor.” This factor indicates influencing effect of an entity over another entity, wherein the entities are a part of the structural representation. A system and method for the construction of such a structural representation of an educational institution based on the educational institution specific information is discussed.Type: ApplicationFiled: November 15, 2013Publication date: June 5, 2014Applicant: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventors: Sridhar Varadarajan, Srividya Gopalan, Preethy Iyer
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Publication number: 20140156358Abstract: An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. A structural representation that captures the essence of all of the relationships in a unified manner has concise information about the educational institution, and visualization is a way to bring out all this information in an explicit manner so that the various of the users of the educational institution system understand effectively their system. A system and method for visualization based on the structural representation of a university along a variety of dimensions is discussed.Type: ApplicationFiled: November 15, 2013Publication date: June 5, 2014Applicant: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventors: Sridhar Varadarajan, Srividya Gopalan, Preethy Iyer
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Publication number: 20140108285Abstract: An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. Relating and correlating this data at and across various levels help in obtaining a perspective about the educational institution. A structural representation captures the essence of all of the relationships in a unified manner and an important aspect of the relationship is the so-called “influence factor.” This factor indicates influencing effect of an entity over another entity, wherein the entities are a part of the structural representation. Given such a structural representation, a system and method that propagates the influence factors of the entities to arrive at a stable representation from the point of view of influences is discussed.Type: ApplicationFiled: October 15, 2013Publication date: April 17, 2014Applicant: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventors: Sridhar Varadarajan, Srividya Gopalan, Preethy Iyer
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Patent number: 8548988Abstract: An educational institution (also referred as a university) is structurally modeled using a university model graph. Such a model helps compare educational institutions at various levels—university level, department level, faculty member level, or student level. One of the requirements of comparison is to normalize the similarities and identify and elaborate the differences across multiple educational institutions. A way to achieve this is to model the educational institutions using comparable elements; specifically, the university model graph allows for such comparison as multiple educational institutions are modeled based on the same set of concepts and notions. A system and method for comparing educational institutions based on their respective university model graphs is discussed.Type: GrantFiled: February 11, 2011Date of Patent: October 1, 2013Assignee: SRM Institute of Science and TechnologyInventors: Sridhar Varadarajan, Srividya Gopalan, Preethy Iyer
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Patent number: 8371941Abstract: Massively multiplayer network games are fast becoming prevalent all over Internet. Servers that support such network games demand huge computing and storage infrastructure. Storage associated with game servers store game related information as well game-instance related information. Game states provide all the information about a game being played and storing them provides an opportunity to continue the game after a pause. An effective representation of game states allows for reduced demand on the storage. An efficient approach for archiving of game states is discussed.Type: GrantFiled: March 15, 2011Date of Patent: February 12, 2013Assignee: SRM Institute of Science and TechnologyInventors: Sridhar Varadarajan, Amit Thawani
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Publication number: 20120130998Abstract: An educational institution (also referred as a university) is structurally modeled using a university model graph. Such a model helps compare educational institutions at various levels—university level, department level, faculty member level, or student level. One of the requirements of comparison is to normalize the similarities and identify and elaborate the differences across multiple educational institutions. A way to achieve this is to model the educational institutions using comparable elements; specifically, the university model graph allows for such comparison as multiple educational institutions are modeled based on the same set of concepts and notions. A system and method for comparing educational institutions based on their respective university model graphs is discussed.Type: ApplicationFiled: February 11, 2011Publication date: May 24, 2012Applicant: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventors: Sridhar Varadarajan, Srividya Gopalan, Preethy Iyer
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Publication number: 20120109718Abstract: An educational institution (also referred as a university) is structurally modeled using a university model graph. A key benefit of modeling of the educational institution is to help in an introspective analysis by the educational institute. Specifically, the model is quite beneficial for undertaking the analysis of the various issues faced by the educational institute. A what-if scenario requires the model to be suitably changed to address the issue under consideration and the changed model needs to be analyzed to determine how the issue could be handled. A system and method for what-if scenario analysis based on the university model graph is discussed.Type: ApplicationFiled: February 11, 2011Publication date: May 3, 2012Applicant: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventors: Sridhar Varadarajan, Srividya Gopalan, Preethy Iyer, Amit Thawani
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Publication number: 20120072235Abstract: An individual has a large number of health related transactions during their lifecycle right from birth. As technology is fast evolving and medical profession demanding accurate description of a situation for effective handling of the patients, it is very useful, and often a necessity, to keep a record of all of the health related transactions. A system and method for recording the large and growing number of health transactions in a structured manner, analyzing and relating of the same, and making them available to any agency is described. The structuring of the transactions is based on a set of dimensions and the analysis leads to the linking of the transactions across these dimensions and deriving of the meta-information for assisting the individual to be more health conscious.Type: ApplicationFiled: December 23, 2010Publication date: March 22, 2012Applicant: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventors: Sridhar Varadarajan, Sridhar Gangadharpalli, Amit Thawani
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Publication number: 20110320500Abstract: An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. Relating and correlating this data at and across various levels help in obtaining a perspective about the educational institution. A structural representation captures the essence of all of the relationships in a unified manner and an important aspect of the relationship is the so-called “influence factor.” This factor indicates influencing effect of an entity over another entity, wherein the entities are a part of the structural representation. A system and method for the construction of such a structural representation of an educational institution based on the educational institution specific information is discussed.Type: ApplicationFiled: November 12, 2010Publication date: December 29, 2011Applicant: SRM INSTITUTE OF SCIENCE AND TECHNOLOGYInventors: Sridhar Varadarajan, Srividya Gopalan, Preethy Iyer
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Publication number: 20110276509Abstract: An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. A structural representation that captures the essence of all of the relationships in a unified manner has concise information about the educational institution, and visualization is a way to bring out all this information in an explicit manner so that the various of the users of the educational institution system understand effectively their system. A system and method for visualization based on the structural representation of a university along a variety of dimensions is discussed.Type: ApplicationFiled: October 22, 2010Publication date: November 10, 2011Applicant: SRM Institute of Science and TechnologyInventors: Sridhar Varadarajan, Srividya Gopalan, Preethy Iyer