39results about How to "Efficient leveraging" patented technology

A system and method for managing an enterprise is provided. The system and method may be based on a layered architecture including a data center that may store all documents and data abstractions for an enterprise. One or more services may interact with an enterprise resource planning system and/or a customer relationship manager to facilitate interaction with the documents and data abstractions. A client access point of the system may include a graphical user interface that includes one or more enterprise management functions for managing the enterprise documents and/or data abstractions. The enterprise management functions may include a user proposal manager, an enterprise proposal manager, a proposal library, a content health manager, an archive library, a bid center, a contracts manager, a resume manager, a debriefing center, and/or a projects manager. The enterprise management functions may re-engineer business processes and enable users to manage all aspects of an enterprise using a single unified interface.

A collection of data is processed and information arising from the processing can be distributed in a variety of ways to support a decision-making process. A query-analyze-distribute approach can be used, and queries, analysis directives, and distribution directives can be associated into a sequence and shared. Access to interim processing is provided, allowing recipients of information to more easily understand and refine the processing. Unbound queries, unbound analysis directives, and unbound distribution directives can be used and shared so that the queries, analysis directives, and distribution directives can be tailored to a particular situation via binding. The query, analysis, and distribution processing can be loosely-coupled to allow easy interchange and combination of sequence elements. A sequence can be scheduled for periodic execution, and distribution of data can be limited to instances when data falls outside of certain expected values. A decision-making process can be automated by creating an executable workflow. The environment in which the workflow is executed can support a rich set of features, including gating, branching, drill down, and execution tracking. A decision-making process based on a sequence can be refined by employing executable metasequences.

Various embodiments describe multi-site cluster-based data intake and query systems, including cloud-based data intake and query systems. Using a hybrid search system that includes cloud-based data intake and query systems working in concert with so-called “on-premises” data intake and query systems can promote the scalability of search functionality. In addition, the hybrid search system can enable data isolation in a manner in which sensitive data is maintained “on premises” and information or data that is not sensitive can be moved to the cloud-based system. Further, the cloud-based system can enable efficient leveraging of data that may already exist in the cloud.

Systems and methods are disclosed for information management, which are performed substantially autonomously by a client in the absence of a storage manager connection, and which are also streamlined to operate efficiently when the storage manager connection is restored. The illustrative client, comprising specialized logic for operating autonomously, generates secondary copies of production data that are compatible with the information management system. The client stores the secondary copies to local fast-access primary storage technology. When connected to an appropriate media agent and to the storage manager, the client moves to efficiently offload the secondary data to a proper secondary storage subsystem. The client aggregates the locally-stored secondary copies into a consolidated data structure, which it transmits to the media agent in the form of a single job. The media agent may process the single job in accordance with governing information management policies, and reports status and metadata to the storage manager. Thus, the protected data is absorbed into the information management system completely and efficiently, with minimal drain on the processing resources of the client and the other components.

Systems, methods, and articles of manufacture are disclosed for the identification and management of causal knowledge. Organizations can use this knowledge to improve performance by, for example, designing cost-effective interventions to change customer or employee behavior. These methods use novel ways to abstract, standardize, and automate the identification and management of causal knowledge, thus making it accessible and affordable to most business users. Moreover, methods are disclosed that—for the first time—solve two critical problems of randomized controlled trials: Missing data on the outcomes of interest, and the inability to generalize findings from the experimental sample to the population using non-probability samples. This includes solving a fundamental problem (present also in probability samples) with the generalization of segmented analysis from a study sample to a population. Use of these embodiments will make the identification and management of causal knowledge much more cost effective, efficient, and reliable.

Computer processor hardware receives image data specifying element settings for each image of multiple original images in a sequence. The computer processor hardware analyzes the element settings across the multiple original images. The computer processor hardware then utilizes the element settings of the multiple original images in the sequence to produce first encoded image data specifying a set of common image element settings, the set of common image element settings being a baseline to substantially reproduce each of the original images in the sequence.

A computer system 1 is operable to receive a plurality of XML (or other marked-up) documents associated with heterogeneous databases 20, 30 and to process these to generate a virtual integrated view presenting a seemingly merged view of the database structures. The computer system includes an input interface for receiving a plurality of marked-up documents, a document object model generation module operable to generate a tree-structured document object model of each marked-up document; an intermediate structure generation module operable to traverse each document object model to generate an intermediate structure comprising a list of lists of elements and sub-elements; a syntax tree generation module for generating a syntax tree representation of the intermediate structure; and a virtual integrated view module operable to generate a view of the syntax tree representation which may be conveniently displayed to the user on a graphical display, wherein by providing the system with a plurality of marked-up documents reflecting the structures of a plurality of databases, the virtual integrated view module is operable to provide a virtual integrated view of the plurality of databases.

The present invention discloses a tyre whose stiffness in its radial direction varies around its circumference. Preferably, the tyre is adapted to fit one or more wheels of a stair-climbing vehicle and its radial stiffness varies so as to allow the tyre to grip one or more stairs in use.

A “Name Disambiguator” provides various techniques for implementing an interactive framework for resolving or disambiguating entity names (associated with objects such as publications) for entity searches where two or more same or similar names may refer to different entities. More specifically, the Name Disambiguator uses a combination of user input and automatic models to address the disambiguation problem. In various embodiments, the Name Disambiguator uses a two part process, including: 1) a global SVM trained from large sets of documents or objects in a simulated interactive mode, and 2) further personalization of local SVM models (associated with individual names or groups of names such as, for example, a group of coauthors) derived from the global SVM model. The result of this process is that large sets of documents or objects are rapidly and accurately condensed or clustered into ordered sets by that are organized by entity names.

Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network, including voltage fluctuations, current levels, temperature data, humidity measurements, and other observable physical quantities. The nodes execute stream functions to process the recorded time series data and generate data streams. The node is configured to transmit generated data streams to neighboring nodes. A neighboring node may execute other stream functions to process the received data stream(s), thereby generating additional data streams. A server coupled to the wireless mesh network collects and processes the data streams to identify events occurring within the network.

A system and method for extending partially labeled data graphs to unlabeled nodes in a single network classification by weighting the data with a weight matrix that uses a modified graph Laplacian based regularization framework and applying graph transduction methods to the weighted data. The technique may be applied to data graphs that are directed or undirected, that may or may not have attributes and that may be homogeneous or heterogeneous.

Nodes within a wireless mesh network are configured to monitor time series data associated with a utility network, including voltage fluctuations, current levels, temperature data, humidity measurements, and other observable physical quantities. The nodes execute stream functions to process the recorded time series data and generate data streams. The node is configured to transmit generated data streams to neighboring nodes. A neighboring node may execute other stream functions to process the received data stream(s), thereby generating additional data streams. A server coupled to the wireless mesh network collects and processes the data streams to identify events occurring within the network.

A method and apparatus provide the ability to code signals in a layered manner for compression and networking applications. The solution involves a relaxed hierarchical structure of layers, wherein only an optimal subset of information from lower quality levels is transmitted to higher level decoders. This framework is complemented with a design method to optimize system parameters. Specialization may include techniques for employing irregular quantizers and/or estimation theoretic optimal parameter selection and/or content specific optimization (e.g., exploiting harmonic structure in audio, adaptive transform coding and enhanced motion compensated prediction for video) and/or optimization of the structure of the layers, where the potential of exploiting all the common information is realized to improve overall system performance for that application. One specific technique provides improved compression of signals with multiple quality levels with or without prediction. Another specific technique provides improved compression of signals with multiple heterogeneous quality-levels with or without prediction.

The present disclosure describes methods, systems, and computer program products for providing a business process visibility resource model. One computer-implemented method includes receiving a request for process data from a client device, parsing the received request to determine a type of process data to return and to recover request parameters, determining the type of process data requested, accessing a process resource model and retrieving process data based upon the recovered request parameters, generating a response returning data in a format compliant with the type of process data requested, and transmitting the generated response data.