Abstract: A cloud-based global alarm annunciation broker assist in locating and contacting suitable technical support personnel in response to detected alarm events at a plant facility. The system comprises a cloud-based framework that dynamically matches on-site alarm events to domain experts capable of addressing the alarm events. The framework uses an agent-based architecture to gather industrial data from data sources within the industrial environment, including time-series alarm data. The data is received at a cloud platform, where broker services perform a global search for suitable technical support resources in response to alarm events identified by the collected data. The brokering system can automatically generate service tickets and send notifications to both end users and system managers/supervisors, and can notify application-level experts about events and anomalies that emerge from the on-premise processes being monitored by the cloud-based broker system.

Abstract: A method is used in managing mounting of file systems. A request is received to mount a file system. The request to mount the file system is added in a pending file system mounts queue based on a policy. The file system is mounted in background. Access to the file system is provided before mounting the file system.

Abstract: A system and method for collaboratively providing configurations for a media environment are provided. In general, configuration events from a number of media environments are collected and provided to a Collaborative Configuration System (CCS) server. Based on the configuration events, the CCS server generates and provides recommended configurations to a media environment. The recommended configurations may be generated prior to or after receiving a request for recommended configurations from the media environment. In one embodiment, the recommended configurations are provided as a recommended configuration profile providing a set of configurations to be applied at the media environment. In another embodiment, the recommended configurations are provided as a CCS track associated with a particular media presentation. The CCS track includes configuration changes to be applied to the media environment for a number of time slices of the media presentation during playback of the media presentation.

Abstract: A boost table stores adjusted target levels for pairs of original and target pixel levels. The adjusted target levels can be used to as a substitute for the target pixel level to improve pixel response in reaching the desired target pixel level. A reduced boost table can be used, storing a subset of the adjusted target levels. Fuzzy logic control rules can be used to calculate adjusted target levels not actually stored in the reduced boost table.

Abstract: A system and method for collaboratively providing configurations for a media environment are provided. In general, configuration events from a number of media environments are collected and provided to a Collaborative Configuration System (CCS) server. Based on the configuration events, the CCS server generates and provides recommended configurations to a media environment. The recommended configurations may be generated prior to or after receiving a request for recommended configurations from the media environment. In one embodiment, the recommended configurations are provided as a recommended configuration profile providing a set of configurations to be applied at the media environment. In another embodiment, the recommended configurations are provided as a CCS track associated with a particular media presentation. The CCS track includes configuration changes to be applied to the media environment for a number of time slices of the media presentation during playback of the media presentation.

Abstract: A system for predicting an occurrence of a critical even in a computer cluster includes: a control system that includes an event log, a system parameter log, a memory for storing information related to occurrences of critical events, and a processor. The processor implements a hybrid prediction system; loads the information from the event log and the system performance log into a Bayesian network model; uses the Bayesian network model to predict a future critical event; makes future scheduling and current data migration selections; and adapts the Bayesian network model by feeding the scheduling and data migration selections.

Abstract: A system and method for allocating computing resources among a plurality of units in a distributed network. A system is provided that includes: a relational fuzzy modeling system for providing a relational fuzzy model based on historical resource parameter data and historical system parameter data, and for predicting and allocating resource requirements for each unit based on the relational fuzzy model; a normalization system for ensuring that a sum of the predicted resource requirements is no more than a total available amount of actual resources available on the plurality of units; and an extra resource allocation system for allocating extra resources when the sum of the predicted resource requirements is less than the total available amount of resources available on the plurality of units.

Abstract: A method and a device for controlling a functional unit of a motor vehicle are provided. In the method, a function sequence is implemented in a functional program. The functional program is verified here by a safety program, which is in turn monitored by a monitoring module. Like the safety program, the functional program has a modular structure. The monitoring of the safety program is accordingly implemented in multiple stages corresponding to the number of modules.

Abstract: A boost table stores adjusted target levels for pairs of original and target pixel levels. The adjusted target levels can be used to as a substitute for the target pixel level to improve pixel response in reaching the desired target pixel level. A reduced boost table can be used, storing a subset of the adjusted target levels. Fuzzy logic control rules can be used to calculate adjusted target levels not actually stored in the reduced boost table.

Abstract: A data input device including an optically generated image of a data input device, the image including at least one input zone actuable by an action performed thereon by a user, a sensor operative to sense the action performed on the at least one input zone, and to generate signals in response to the action, and a processor in communication with the sensor operative to process the signals for performing an operation associated with the at least one input zone.

Abstract: The calculation circuit comprises a subtracter having a first and a second input receiving a first and, respectively, a second input datum; a first output supplying a first output datum equal to the difference between the first and the second input datum; and a second output supplying a sign flag indicating the sign of the first output datum; an XOR logic gate having a first input receiving the sign flag, a second input receiving a first logic selection signal assuming a first level for the selection of the logical fuzzy union operation and a second level for the selection of the logical fuzzy intersection operation, and an output supplying a second logic selection signal; and a multiplexer having a first and a second datum input receiving the first and, respectively, the second input datum; a selection input receiving the second selection signal; and an output supplying a second output datum constituted by the first or the second input datum (A, B) as a function of the level assumed by the second selection s

Abstract: A system and method for object inspection that includes an image recognition program stored on a tangible medium for classifying and subclassifying regions of interest on an image. The image recognition program can be used in an image inspection system to determine defects on objects such as printed wiring assemblies. The image recognition program is executable to collect raw image data, segment out rectangular regions of interest that can be component sites defined by CAD data, preprocess each region of interest by scaling, gain and offset correction, and gamma correction, generating a set of image spaces for each region of interest using a set of spatial image transforms, generating features on the image spaces, scoring the features, comparing the feature scores to a knowledge base of feature scores to make a class determination for the features, generating a presence/absence decision confidence for the features, calculating a class determination and decision confidence for each region of interest.

Abstract: A networked computer online gaming system and process arranged in a client/server online gaming architecture and utilized to run gaming programs. The client computers are configured to run a gaming client program. The server computers are coupled to the client computers via a network. The server computers run server programs including a master control program (MCP) that governs access of the server programs to the online gaming architecture, a servorum program (SV) for creating instances of a server program, a matchmaker program (MM) that supports rendezvous services, a game instances class server program (GICS) that enables games and provides user to user communication, and game upper level protocol server program (GULP) that supports the user to user communication provided by said GICS.

Abstract: A conventional network file server has a file system that permits file attributes and file data to be written in any order. The conventional network file server may also support an asynchronous write protocol, in which file attributes and file data need not be written to disk storage until a client sends a commit request. This asynchronous write protocol has a data security problem if the attributes are written before the data and the server crashes before completing the writing of the data to disk storage. This security problem is solved by adding a file system cache and following a protocol that writes the attributes to storage after writing the data to storage. For example, the attributes and data are stored in the file system cache and are not written down to storage until receipt of a commit request. When the commit request is received, the data is sent first from the file system cache to storage. Then the attributes are sent from the file system cache to storage.