International Business Machines Corporation

Sean A McKenna

Emanuele Ragnoli

Fearghal O'Donncha

Beat Buesser

Seshu Tirupathi

Bei Chen

Adi Ionel Botea

Radu Marinescu

Sergiy Zhuk

Francesco Fusco

Stephen Michael Moore

Amadou Ba

Michele Gazzetti

Vincent Lonij

Yiannis Gkoufas

Ernesto Arandia

Albert Akhriev

Kostas Katrinis

Embodiments for managing a wave energy converter (WEC) device by one or more processors are described. At least one environmental characteristic associated with a WEC device in a body of water is received. A prediction of wave conditions on the body of water is calculated based on the at least one environmental characteristic. A signal representative of the prediction of wave conditions is generated.

Methods and systems for wave energy generation prediction and optimization

A system and method for providing power consumption data for a distributed system in blockchains in a computer environment are presented. Energy consumption of one or more blockchain nodes in a blockchain network that achieves a consensus by a proof of work on a plurality of transactions upon executing a cryptographic operation may be determined.

Estimation of power consumption of proof of work consensus based distributed systems

Embodiments for an intelligent directing service in an Internet of Things (IoT) computing environment by a processor. One or more objects may be identified within a defined region relative to an entity. At least a portion of an extremity of the entity may be directed to select or avoid the one or more objects according to one or more internet of things (IoT) devices.

Intelligent directing system in an internet of things (IoT) computing environment

A system and method for combined route planning and opportunistic searching in variable costs environments are presented. A route for a vehicle may be dynamically planned according to an opportunistic search of an unknown domain to achieve one or more secondary objectives while both progressing towards a primary objective and minimizing travel costs using one or more Internet of Things (IoT) sensors and computing devices and a knowledge of a location of the vehicle relative to one or more waypoints.

Combined route planning and opportunistic searching in variable cost environments

A method and system for generating a map identifying the size and location of anomalous crop health patterns of a geographic area. Predictive crop health forecasting based historical crop health images generates expected crop health images. Statistical parametric mapping is used to model differences in the expected crop health images and current crop health images to generate a statistical parametric map. Regions of anomalous crop health based on the modeled differences are identified in the statistical parametric map. The number of the identified anomalous crop health regions and the size of each of the identified anomalous crop health regions are determined. The statistical significance of the size and number of the anomalous crop health regions relative to the expected crop health is quantified. A map of anomalous crop health patterns delineates the anomalous crop health regions and the statistical significance of the size and number of anomalous crop health regions.

Identification and localization of anomalous crop health patterns

Embodiments for intelligent forecasting of material concentrations in a fluid by a processor in a computing environment. A material concentration of a material in a fluid may be predicted according to one or more continuous stirred tank reactor (CSTR) surrogate models on statistical flow trajectories of the fluid defined by a principle component analysis (PCA) operation of a system.

Combining feature selection and surrogate models for the forecast of material concentration in fluids

Technical solutions are described for predicting water quality of a water source over a forecast horizon and for multiple locations. An example computer-implemented method includes receiving a forecast horizon for across which to predict the water quality. The forecast horizon includes a plurality of time periods. The computer-implemented method also includes receiving one or more geographical locations at which to predict the water quality. The computer-implemented method also includes receiving a set of water quality measures for the water source. The computer-implemented method also includes determining predicted water quality measures for the geographical location at each of the plurality of time periods in the forecast horizon based on the water quality measures. The computer-implemented method also includes outputting one or more of the predicted water quality measures.

Dynamic water quality prediction

A method for analyzing acoustic/elastic waves to determine subsurface structure of the earth includes receiving a plurality of observations of a seismic acoustic/elastic wave-field from a plurality of sensors; generating a plurality of Bernstein grids of differing resolutions; calculating a data misfit of the plurality of observations with respect to an initial subsurface structure model defined in terms of conic combinations of Bernstein polynomials on a lowest resolution Bernstein grid, and mapping the data misfit from the Bernstein grid onto a Lagrangian grid; updating the subsurface structure model by minimizing the data misfit between the plurality of observations and observations obtained by a simulation; increasing resolution of the Bernstein grid and recomputing the updated subsurface structure model on the increased resolution Bernstein grid; and mapping the recomputed subsurface structure model onto the Lagrangian grid.

Multi-scale manifold learning for full waveform inversion

Embodiments for monitoring groundwater discharge by one or more processors are described. A groundwater head at each of at least some of a plurality of locations is measured. A groundwater discharge for at least one of the plurality of locations is determined based on the measured groundwater heads. The determined groundwater discharge is compared to a groundwater discharge threshold associated with the at least one of the plurality of locations.

Methods and systems for monitoring groundwater discharge

Embodiments for providing aquatic epidemic alerts by a processor are described. Information associated with an aquatic epidemic in a body of water is received. A threat level associated with the aquatic epidemic for a location within the body of water is determined based on the information associated with the aquatic epidemic and water flow data associated with the body of water. An indication of the threat level is generated.

Aquatic epidemic alert methods and systems

A system, method and computer program product for determining an accuracy of a reconstructed image relative to a reference image. The method includes decomposing a reference image into a plurality of basis functions; reconstructing the image using the plurality of basis functions; determining differences between the reference image and reconstructed image; using statistical parametric mapping (SPM) to quantify existence of statistically significant regions of excursion in the determined differences; determining, based on the quantified regions of excursion, a minimum number of basis functions to reconstruct the image; and storing the determined number. The difference image is used as input to a univariate statistical test at every pixel to calculate an image of the test statistic which is then modeled as a multiGaussian random field. Quantities are calculated from the test statistic image for comparison to expected values to determine if the reconstructed image is an accurate representation of the reference image, or whether the number of basis functions used in the reconstruction is to be increased.

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Dublin, Ireland

Sean A McKenna