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: Multimedia content usage is on the rise and hence, it is becoming increasingly necessary to automatically analyze the multimedia content in order enhance the effective applicability and usage of the content. The richness of a multimedia content demands multi-fold analysis of the content and further, this richness also leads to openness and vastness. Hence, the outcome of the multiple analyses techniques needs to be carefully analyzed in order to avoid limited or inconsistent content description. A system and method for bounded analysis of multimedia using multiple correlations addresses the issues related to richness and vastness of a multimedia content to enable describing of the multimedia content in a maximally consistent manner. Such a content description is very useful in the semantic characterization of multimedia.

Abstract: An advertisement system that provides subscribers with the most relevant advertisements based on their individual purchase prediction of the various products and contextual information such as location, ongoing public events, festivals and personal events. The system customizes the advertisements to suit the audiovisual, language, and textual caption preferences of the subscribers. System provides for tracking of various promotional offers made to the subscribers from the time the offer is made to the time it is redeemed by the subscriber. System consists of methods to learn (a) purchase predictions (b) preferred streaming schedule and (c) the subscriber's preferences in terms of audiovisual aspects of the advertisements. Purchase prediction for individual subscriber is derived from historical purchase data by time series analysis and the influence of events such as co-purchases of other products and organized events such as sales exhibitions and festivals is derived based on Bayesian network models.

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: Video processing in general and image processing in particular is a very complex process. This is more so when the analysis is required to extract information from the images for providing of the same directly or indirectly to the users. This additional complexity is due to the direct competition with users who are used to analyzing of the images both syntactically and semantically. One of the ways to contain the complexity of image analysis is to exploit the domain semantics during image processing. A system and method to help in semantics based image processing involves the identification of one or more domain relevant semantic hierarchies and using of the same during image processing.

Abstract: IP networks carry packets that consist of headers and payloads. Typical traffic analysis systems at layer 3 process packet headers in order to obtain as much information about the traffic as possible. However, performing of deep packet analysis requires the processing of packet payloads as well. Another important requirement of layer 3 processing is the need to process the payloads at wire speeds. A system and method for deep packet inspection at layer 3 involves (a) an approach for packet payload processing; (b) accounting for out of order arrival of packets; (c) an approach for partial match analysis so as to be able to analyze the traffic flows when only partial information is available; and (d) an approach for effective payload processing for attempting to achieve wire speed processing.

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: 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.

Abstract: Video on demand services rely on frequent viewing and downloading of content to enhance the return on investment on such services. Videos in general and movies in particular hosted by video portals need to have extensive annotations to help in greater monetization of content. Such deep annotations help in creating content packages based on bits and pieces extracted from specific videos suited to individuals' queries thereby providing multiple opportunities for piece-wise monetization. Considering the complexity involved in extracting deep semantics for deep annotation based on video and audio analyses, a system and method for deep annotation uses video/movie scripts associated with content for supporting video-audio analysis in deep annotation.

Abstract: Video processing in general and image processing in particular is a very complex process. This is more so when the analysis is required to extract information from the images for providing of the same directly or indirectly to the users. This additional complexity is due to the direct competition with users who are used to analyzing of the images both syntactically and semantically. One of the ways to contain the complexity of image analysis is to exploit the domain semantics during image processing. A system and method to help in semantics based image processing involves the identification of one or more domain relevant semantic hierarchies and using of the same during image processing.

Abstract: Ads play an important role in enhancing the market reach of the products. Televisions are one of the major targets for advertising to reach mass market. With the advent of the Internet, video on demand mode of delivering content, to a variety of devices such as personal computers and mobile phones, has become a possibility. New ad targeting opportunities arise when the multitude of technologies are combined. One of the aspects of ad targeting, to keep the viewers' attention focused on ads, is to “beat the expectations.” A system and method to help in keeping viewers' attention focused on ads involves randomly selecting an ad to be displayed using a randomly selected ad display model at a randomly selected time interval during the course of watching of content. Further, a viewer's attention on ads gets enhanced when the randomly selected ads are appropriate from the point of view of the content being watched.

Abstract: IP networks carry packets that consist of headers and payloads. Typical traffic analysis systems at layer 3 process packet headers in order to obtain as much information about the traffic as possible. However, performing of deep packet analysis requires the processing of packet payloads as well. Another important requirement of layer 3 processing is the need to process the payloads at wire speeds. A system and method for deep packet inspection at layer 3 involves (a) an approach for packet payload processing; (b) accounting for out of order arrival of packets; (c) an approach for partial match analysis so as to be able to analyze the traffic flows when only partial information is available; and (d) an approach for effective payload processing for attempting to achieve wire speed processing.

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: Enterprises are fast moving towards restructuring their IT infrastructure by exploiting the emerging models of data centers. In one extreme, the whole of application, storage, and network needs of an enterprise are to be managed by third party data centers. While the use of third party data centers is an attractive proposition for enterprises, it can potentially put their intellectual property in the form of applications and data assets under threat. There is a need for a system that is a part of a data center but owned by an enterprise that provides a single point of entry and exit for interacting and communicating with the data center and the enterprise relies on this system to obtain an insight into the functioning and behavior of the data center.

Abstract: Enterprises procure a large number of licenses of a large number of software packages. Software package inventory is one of the high cost items in these enterprises. It is necessary to contain this recurring expenditure on software packages by optimally utilizing the procured licenses. Disclosed is a system and method for maximizing software package license utilization. The system includes components for enabling managers of an enterprise to describe their need for software packages in project plans and users to use the software packages based on such plans. Further, the system also manages unplanned demands to use software packages and maintains a near-optimal inventory of licenses of software packages.

Abstract: Customers buy a variety of equipments and gadgets from multiple vendors and interact with manufacturers through contact centers to get their questions on the bought products answered. The market opportunities and competitiveness are forcing manufacturers to be accommodative and innovative in providing post-sale support. An essential aspect of this market dynamics is customer churn and the manufactures are required to ensure that product loyalty and brand loyalty of the customers are high. While Customer Relationship Management (CRM) has been playing an all important role of monitoring and managing customer relationships, it is necessary to augment CRM with more specific enhancements. The need is to have an integrated, practical, and realizable approach that focuses on measuring customer satisfaction index based on multiple interactions of customers with manufacturers.

Abstract: Networks carry various kinds of traffic and ISPs are keen to analyze the traffic so as to be able to support QoS on the distinct traffic flows. Traffic can be broadly categorized into two types: plain traffic and encrypted traffic. Further, each of these traffic types is based on either a standard protocol or a proprietary protocol. While it is fairly straightforward to analyze traffic that are based on standard protocols, it is extremely difficult to analyze encrypted traffic based on proprietary protocols. A system for Skype traffic detection involves analyzing encrypted traffic based on proprietary peer to peer protocol. The proposed approach is based on building Skype traffic models and using the same to determine Skype traffic in the network traffic.

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: Modeling user likes and dislikes is an important aspect of target marketing. Typically, a user performs several activities related to a particular domain, and the outcomes of these activities indicate the extent of liking/disliking that resulted on account of these activities. Further, many of these activities are performed on a routine basis. The problem of user likes modeling is to analyze these various activities performed by the user and the solution is to arrive at a likes/dislikes model of the user. Such a likes/dislikes model helps in, for example, ad targeting in the context of TV viewing and cross-selling in the case of mobile services.