Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: In enterprises, presentations are designed and made to visiting clients on a routine basis and it is expected that such presentations be effective as much of business depends on right kind of information in right depth and volume made to right audience. The typically followed manual process depends on the capabilities of a person to create such presentations. It is required to obtain as little information as possible to generate presentations as much automatically as possible. The automatic generation of presentations is based on (a) agenda; (b) audience profile; and (c) templates. The system analyzes an agenda and audience profile to obtain adequate information to identify the most appropriate templates and uses the same to generate one or more draft presentation versions that best match the requirements of the agenda. Further, the invention also provides for an automatic generation of (a) slide annotations; (b) presentation theme; and (c) templates.

Abstract: 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.

Abstract: Personalized services and targeted services demand the exploitation of context—say, context of an environment, context of a product, context of a service, and context of a customer or user or individual. In order for the personalized and targeted services to have a greater impact, the identified context used by a context aware processing engine needs to be accurate and current. Such an up-to-date context is called as context map and a system and method for generating a customer-specific context map involves the processing of customer transactions, abstracting and generalizing these transactions into entities, and inter-relating these entities. The context map, for example, is useful in ad targeting in mobile environments, and in quicker and efficient problem resolution in contact center environments.

Abstract: 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 flows involves analysis of multiple student specific sub-activities and correlating them from temporal and spatial points of view. Specifically, the presented system allows for reliable identification of activity flows accounting for duplicate and missing sub-activities.

Abstract: 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 activity gathering that involves instrumented components, sub-systems, and networks is discussed. Specifically, the presented system allows for reliable identification of activities performed by a student of the university based on inputs received from multiple sources associated with the instrumented components, sub-systems, and networks.

Abstract: Peer to peer interactions are a popular way of social networking. Such peer to peer interactions play an important role in (a) obtaining relevant and latest information; (b) obtaining relevant experiential information; (c) obtaining of relevant opinions on, say, products; (d) collaborative problem solving, and so on. Consider a scenario of classified ads: a user visiting a portal through a mobile phone to decide on buying of a product can be well assisted by facilitating peer to peer interactions. In many situations, it is required to make the right selection of peers in order to be able to obtain the right information, and furthermore, voice is a preferred mode of interaction if mobile phones are used in peer to peer interactions. Also, in peer to peer interactions, anonymity is important in order to protect the privacy of the peers.

Abstract: 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.

Abstract: Revenue leakage is one of the major concerns of telecom operators worldwide. There are several reasons for revenue leakage including frauds, data loss, poor utilization of network infrastructure, and churn. With the growth in subscriber base and increased competition in the market space, the lack of control on revenue leak could potentially affect the profit margins drastically. The operators are ever looking for solutions that could limit the various aspects of the revenue leakage. A system and method for addressing revenue leakage due to data loss in general and incomplete/partial data in particular needs to handle the issues related to the obtaining of additional information so that incomplete/partial data records lead to additional billing opportunity for the operators.

Abstract: A system to enable an enterprise to obtain an insight into the functioning and behavior of a data center that hosts the enterprise's IT infrastructure through the alerts raised by the system is provided. These alerts are based on the exhibited abnormal behavior while processing transactions of the data center and are raised by analyzing exhibited behavior with respect to the expected behavior. The system depicts the expected behaviors in the form of model sequences related to the transactions and elaborates an approach for determining these model sequences.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Enterprise users access several applications and services routinely to carry out their work-related activities on a day-to-day basis. These applications and services could be hosted within an enterprise or on a third-party data center. The enterprise users login into the applications and services so as to gain access to the applications and services. In the case of single sign-on, it is expected that the users authenticate once to a specific application/service/system and obtain access to any other application/service/system. In such a scenario, it is important to ensure that during the course of this authenticated access grant, the right users are provided access to right information. This is achieved by a re-authentication system that demands minimum re-authentication effort from “right” users and maximum re-authentication effort from “non-right” users. A system and method of on the fly re-authentication involves a novel challenge-response mechanism.