International Business Machines Corporation

General Electric Company

Exxonmobil Upstream Research Company

Baker Hughes Oilfield Operations LLC

John Robert Hare

Felipe Knop

Christopher V Derobertis

Ser Nam Lim

Jens Rittscher

Myung Mun Bae

Ya Xue

Jie Yu

Thomas V Weaver

Robert K Gardner

Tseng-Hui Lin

Vladimir Shapiro

Serban C Maerean

Robert R Gensler, Jr

Hemant R Suri

Thai Hoang

Matthias Odisio

Johannes Sayre

Ozge Can Whiting

Rajeev Bhatt

Mustafa Gokhan Uzunbas

John Passarelli

Weiwei Qian

Taufiq Dhanani

Edvardas Kairiukstis

Computer vision based systems, and methods are provided for generating plume analysis data from a plurality of input image frames as captured by a camera. Image data associated with a plume of gas is received and provided as inputs to a predictive model used to determine plume analysis data including a plume prediction segmentation mask associated with the plume of gas. Other attributes of the plume are also estimated from the prediction segmentation mask such as cross-sectional area, cross-sectional velocity, leak source pixel and volumetric leak rates. The plume analysis data can be provided as an overlay atop the image data. The plume analysis data overlaid atop the image data can be transmitted by and/or to one or more computing devices.

Segmentation and prediction of low-level temporal plume patterns

An approach for seismic data analysis is provided. In accordance with various embodiments, the active learning approaches are employed in conjunction with an analysis algorithm that is used to process the seismic data. Algorithms that may employ such active learning include, but are not limited to, ranking algorithms and classification algorithms.

Seismic data analysis

A system to improve communication security in cluster machine processing may include interconnected computers that can jointly process data. The system may also include a shared secret key used by each of the interconnected computers to encrypt, decrypt, and/or authenticate data being sent, or received, from one of the interconnected computers to another of the interconnected computers. The system may further include a new shared secret key used by each of the interconnected computers to encrypt, decrypt, and/or authenticate data being sent, or received, from one of the interconnected computers to another of the interconnected computers. In addition, the new shared secret key may coexist with the shared secret key without adversely affecting the joint processing of data performed by the plurality of interconnected computers.

Secure communications in computer cluster systems

A method is provided for establishing clusters in a distributed data processing environment having a plurality of nodes. The frequency of messages sent for the purpose of cluster formation is selected based on ranking of the nodes. Higher ranking nodes transmit such messages more frequently than lower ranking nodes. Lower ranked nodes thus are provided with an opportunity to join a cluster without first having to transmit their own messages to effectuate the joining.

Cluster bring-up in a distributed topology liveness system

A method for communicating node liveness in a multinode data processing system employs an operating system function that provides a degree of self-awareness in 'sensing' an imminent but still pending failure as the basis for providing special flag signals over a channel which employs nonvolatile storage in a heartbeat signaling path.

Fast node failure detection via disk based last gasp mechanism

Method for improving cluster bring-up in a distributed topology liveness system

In distributed multinode data processing systems, mechanisms are employed to insure that the nodes are properly informed about the liveness of the other nodes in node groups in the network. In particular, the present invention employs group membership indicia as part of a mechanism for detecting that a node and/or its adapter have failed and have been recently restarted. Having detected this situation, group membership inconsistencies which it can engender are avoided.

Method for detecting the quick restart of liveness daemons in a distributed multinode data processing system

Liveness determination in a multinode data processing system is enhanced through the use of a shared nonvolatile memory, typically a disk, which is utilized in conjunction with defined transmission protocols to provide an independent communication path usable for both the transmission of node liveness information and for other, more general, data transfer purposes. This path is considered as having the same degree of importance as other network paths and liveness indications from the shared memory path are likewise considered at the same time as liveness indications from another path or paths.

Use of a storage medium as a communications network for liveness determination in a high-availability cluster

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Highland, NY, United States of America

John Robert Hare