Abstract: Text segmentation based on topic boundary detection has been an industry problem in automating information dissemination to targeted users. A system for automatic segmentation of ASR output text involves boundary identification based on “topic” changes. The proposed approach is based on building a weighted graph to determine dependency in input sentences based on bi-directional analysis of the input sentences. Furthermore, the input sentences are segmented based on the notion of segment cohesiveness and the segmented sentences are merged based on preamble and postamble analyses.

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: A fault identification system analyzes alarm information and the associated contextual information to identify the occurred faults. The contextual information is based on usecases, transactions, and functions associated with the electronic system under consideration. Multiple detectors that form part of knowledge repositories are used in the process of fault identification.

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: Text segmentation based on topic boundary detection has been an industry problem in automating information dissemination to targeted users. A system for automatic segmentation of ASR output text involves boundary identification based on “topic” changes. The proposed approach is based on building a weighted graph to determine dependency in input sentences based on bi-directional analysis of the input sentences. Furthermore, the input sentences are segmented based on the notion of segment cohesiveness and the segmented sentences are merged based on preamble and postamble analyses.

Abstract: The proposed system defines a predictive real-time Service Level Agreements (SLAs) monitoring system by (a) a detailed analysis of traffic flows with reduced monitor-data flow across network; and (b) a suitable combination of offline and real-time processing of historical and current traffic data. In order to be able to undertake a detailed analysis without significantly impacting the network throughput, the system analyzes the historical traffic patterns of a typical Provider's network to determine a set of critical SLAs. An in-depth analysis of traffic is performed by creating a unique network parent probe for every critical SLA and the parent probe spawns an optimal number of intelligent master and slave probes based on a regionalization procedure. The online overload monitoring system analyzes the gathered data from the master and slave probes to (a) forecast future violations of the SLA under consideration based on multiple forecast models and (b) generate operator SLA violation alarms.

Abstract: The proposed system defines a comprehensive video license distribution system to achieve the zero-reject of requests from subscribers, maximizing the usage of licenses and minimizing the churn rate by (a) using symbolic and numeric features of movies; (b) planning video license distribution of different license kinds to a predictable group of subscribers based on the analysis of subscriber video viewing patterns; (c) exclusive handling of unpredictable behavior of subscribers; (d) the effective trading of favor points; (e) intelligent timing and selection of subscriber specific previews; and (f) the detailed analysis of subscriber complaints.

Abstract: A fault identification system consisting of multiple reasoning engines and the blackboard analyzes alarm information and the associated contextual information to identify faults. The contextual information associated with an alarm is derived by analyzing the alarm along four spaces, namely, transaction-space, function-space, execution-space, and signal-space. The reasoning engines associated with these spaces infer and/or validate the occurrences of faults. Transaction reasoning engine, using the associated knowledge repository, processes the generated alarms to infer and validate faults. Monitor reasoning engine, using the associated knowledge repository, processes domain specific monitor variables to infer faults. Execution reasoning engine, using the associated knowledge repository, processes execution specific monitor variables to infer and validate faults. Function reasoning engine, using the associated knowledge repository, reasons to infer and validate faults.

Abstract: The proposed system defines an automated safe reprogramming of software radios. The essence of software radios is to enhance or alter the functionality of a mobile terminal by using software. This means that the required software is downloaded onto a mobile terminal on the fly to meet the critical and necessary needs of the user. Lot of caution needs to be exercised while downloading the necessary software components on the fly. The proposed invention automates the validation and verification of the downloaded component by suggesting (a) a means for the computation of signatures; (b) a means for defining multiple zones and verification of zone-specific signatures; (c) a means for periodic online verification of the downloaded components; and (d) a means for collecting the usage statistics of the downloaded components. The objective is to define the safeness of the downloaded component based on multiple signatures to be validated in different zones.

Abstract: The proposed system defines a predictive real-time Service Level Agreements (SLAs) monitoring system by (a) a detailed analysis of traffic flows with reduced monitor-data flow across network; and (b) a suitable combination of offline and real-time processing of historical and current traffic data. In order to be able to undertake a detailed analysis without significantly impacting the network throughput, the system analyzes the historical traffic patterns of a typical Provider's network to determine a set of critical SLAs. An in-depth analysis of traffic is performed by creating a unique network parent probe for every critical SLA and the parent probe spawns an optimal number of intelligent master and slave probes based on a regionalization procedure. The online overload monitoring system analyzes the gathered data from the master and slave probes to (a) forecast future violations of the SLA under consideration based on multiple forecast models and (b) generate operator SLA violation alarms.