Abstract: Contamination of environment by a multitude of pollutants is becoming a global health concern. Lot of methods are being used for bioremediation of those pollutants. A method and system for one or more pollutants has been provided. The sample is collected from a site containing pollutants. Pollutants are then isolated from the sample. Further, a knowledgebase various types of degraders of those pollutant is created. Using this knowledgebase a map of microbes is created. The map of microbes is then used to design a first microbial consortia and a second microbial consortia which together contributes genes, proteins and enzymes required for degradation of the pollutants. And finally, a concoction of the first and/or second microbial consortia is administered on the site. The method further comprises the checking the efficacy of the administered consortia and further comprise re-administration of the concoction.

Abstract: Embodiments herein provide a method for imputing sensor data, in a sensor data sequence with missing data based on the semantics learning, where semantics is defined by the constraints of the sensor data features. A candidate value for imputation is determined based on sensor data of corresponding instances of time instants of the sensor data sequence using learning based on semantics of features of the sensor data sequence with missing data. The nearest neighbors search has been applied in similar response data sequence using the data values corresponding to the time instant of missing data in sensor data sequence. In case similar response data sequence is not available imputation is performed based on the distribution pattern of missing data.

Abstract: Systems and methods for supply chain design and analysis to optimize costs associated with a supply chain are described. According to an embodiment, the supply chain management system comprises a data extraction module, an analysis module, and a presentation module coupled to a processor. The data extraction module obtains supply chain data from one or more data sources. The analysis module analyzes a plurality of parameters and at least one future state map to ascertain at least one business scenario. Further, the analysis module identifies flow constraints in the at least one business scenario based on a flow analysis. Further, the analysis module selects decision parameters from amongst the plurality of parameters based on the flow constraints and a simulation feedback. Further, the analysis module simulates at least one experimental design based on the decision parameters. Furthermore, the presentation module generates, a plurality of maps based on visual analytics.

Abstract: The present invention relates to a method and system comprising service pattern definitions and automated extraction of Services from the legacy code based on the pattern matching.

Abstract: The present subject matter relates to assigning access rights in enterprise digital rights management (eDRM) systems. In one embodiment, a method includes receiving, by an enterprise digital rights management (eDRM) device, user data corresponding to a plurality of users. Further, the method includes creating a user group based on the user data. The user group, thus created, is sent for storage in a repository associated with an eDRM server, enabling the user group to be accessible by a plurality of eDRM devices.

Abstract: fSystems and methods for infrastructure support optimization are described. The system includes an authorization module to verify a user, based on authorization rules, to provide access to the user to one or more infrastructure elements, and obtain ticket attribute data from a ticketing system, based on the verification, where the ticket attribute data comprises a plurality of attributes associated with a ticket to be resolved by the user. The authorization module also receives a support action, to be performed on the infrastructure element to resolve the ticket, where the support action includes at least one of an operation to resolve the ticket, and a standard support service. Further, the system includes a log generation module to append the support action to an operation log with corresponding ticket attribute data.

Abstract: The present subject matter relates to a computing device (104) and method intended to provide fine-grained continuous location tracking for non-real time uses (e.g., for retracing the movement of office employees). As per the subject matter, the knowledge of an office layout is combined with the application of particle filters (PFs) over inertial tracking (using compass, accelerometer and gyroscope sensors) data. Viterbi-based path-likelihood maximization is integrated with PF framework to progressively reduce the uncertainty in the movement track of an individual computing device (104).

Abstract: Method(s) and system(s) for identification of an unknown person are disclosed. The method includes receiving skeleton data comprises data of multiple skeleton joints of the unknown person from skeleton recording devices. The method further includes extracting G gait feature vectors from the skeleton data. Further, the method includes classifying each gait feature vector into one of N classes based on a training dataset for N known persons and computing a classification score for each class. The method also includes clustering the training dataset into M clusters based on M predefined characteristic attributes of the known persons, tagging each gait feature vector with one of the M clusters based on a distance between a respective gait feature vector and cluster centers of M clusters, and determining a clustering score for each M cluster. The method further includes identifying the unknown person based on clustering scores and classification scores.

Abstract: A system for classifying moving objects during video-based surveillance comprising: capturing a silhouette image of a moving object, resizing the captured image, computing an average height to width ratio and a center of gravity for the object in the resized image, dividing the resized image, comparing the average height to average width of the object and further comparing the variance of center of gravity with a predetermined threshold value to classify the object in the captured silhouette into predetermined classes.

Abstract: Method(s) and system(s) for identifying marker features of various subsets of a multi-dimensional data are provided. Each subset includes various data points associated with various features. Each of the data points are defined by feature values corresponding to the associated features. The method includes identifying feature pairs based on a matrix of the data points and the features, and computing correlation distances between features in each of the feature pairs. The method includes generating a non-linear pattern of the plurality of features in a two-dimensional plane. Additionally, the method includes calculating a threshold feature value for the associated features of the data points of a particular subset and representing the threshold feature value as a threshold non-linear pattern in the two-dimensional plane. The method includes determining the marker features based on a relative position of the features with respect to the threshold feature value in the two-dimensional plane.

Abstract: Systems and methods for obtaining access rights to an encrypted document are described. The method comprises receiving a request for obtaining access rights to the encrypted document from a requestor, through an eDRM interface. The method further comprises generating a request inbox corresponding to a granter of the encrypted document. The request inbox contains at least the request received from the requestor. The generated request inbox is sent to the granter through the eDRM interface. The method furthermore comprises obtaining a response to the request from the granter, and providing a status alert indicative of the response to the requestor through the eDRM interface.

Abstract: Systems and methods for event management are described. In one embodiment of the present subject matter, an audio beacon indicative of a location code associated with a location is received from a user device by an event management system. The event management system may then identify the location and an event associated with the location, based on a current time and an event schedule. Event content related to the identified event may then be provided to the user device in real time. In another embodiment, visual tag data pertaining to color coded tags embedded in one or more objects in the location of the event may be received and information content related to the object may be provided to the user device, based on the event schedule.

Abstract: A method for embedding, multiplexing and broadcasting of multiple audio metadata in an analog video stream and thereby generating output analog video containing multiple separable audio-video tuples of optimum quality. Further, a user study is performed on a sample tutorial video for various frame rates and resolution to calculate the mean opinion score for deriving the degree of multiplexing that may be provided without deteriorating the quality of video.

Abstract: A method for implementing at least one rule for an application is described. The method includes receiving an input rule. Based on the input rule, a program executable code is generated. The generated program executable code can then be associated with the application.

Abstract: The present invention relates to method of defining multiple program abstractions, extraction methodologies, transformation, and code conversion to convert legacy monolithic architecture of business systems to a layered modern architecture using Object Oriented language such as Java.

Abstract: The present invention relates to a method and system comprising service pattern definitions and automated extraction of Services from the legacy code based on the pattern matching.

Abstract: The present invention relates to method of defining multiple program abstractions, extraction methodologies, transformation, and code conversion to convert legacy monolithic architecture of business systems to a layered modern architecture using Object Oriented language such as Java.

Abstract: The present invention relates to method of defining multiple program abstractions, extraction methodologies, transformation, and code conversion to convert legacy monolithic architecture of business systems to a layered modern architecture using Object Oriented language such as Java.