Abstract: An elevator assembly for a harvester may include an elevator housing and an elevator extending within the elevator housing between a proximal end and a distal end. As such, the elevator may be configured to carry harvested crops between its proximal and distal ends. Furthermore, the elevator assembly may include a storage hopper extending from the elevator housing at a location adjacent to the distal end of the elevator. The storage hopper may include a conveyor extending within the storage hopper between a first end and a second end, with the conveyor configured to carry the harvested crops between its first and second ends towards a discharge opening of the storage hopper.

Abstract: Systems and methods for building applications by automatically incorporating application performance data into the application build process are disclosed. By capturing build settings and performance data from prior applications being executed on different computing systems such as bare metal and virtualized cloud instances, a performance database may be maintained and used to predict build settings that improve application performance (e.g., on a specific computing system or computing system configuration).

Abstract: A method for seismic exploration using a full waveform inversion, FWI, the method including receiving an initial velocity model V of the subsurface, receiving recorded data d related to the subsurface, generating synthetic data u related to the subsurface, using the initial velocity model V and a source signature of a source S, transforming the recorded data d and the synthetic data u, with a complex wavelet transform, into complex wavelet transformed recorded data d? and complex wavelet transformed synthetic data u?, respectively, updating the initial velocity model V using the FWI to generate an updated velocity model, based on a cost function J which depends on the complex wavelet transformed recorded data d? and the complex wavelet transformed synthetic data u?, and generating an image of a surveyed subsurface formation.

Abstract: A joint timelapse full waveform inversion (FWI) method for estimating physical properties of a subsurface includes receiving seismic data related to the subsurface, wherein the seismic data includes a baseline dataset dB and a monitor dataset dM, defining an objective function of the FWI method, calculating a baseline gradient gB of the objective function for the baseline dataset dB, and a monitor gradient gM of the objective function for the monitor dataset dM, computing a baseline preconditioner P?B for the baseline dataset dB and a monitor preconditioner P?M for the monitor dataset dM so that each of the baseline preconditioner P?B and the monitor preconditioner P?M reflects similarities and/or differences of geometrical features of the baseline and monitor acquisition surveys, and determining physical properties of the subsurface based on a baseline physical properties update and a monitor physical properties update.

Abstract: Systems and methods for building applications by automatically incorporating application performance data into the application build process are disclosed. By capturing build settings and performance data from prior applications being executed on different computing systems such as bare metal and virtualized cloud instances, a performance database may be maintained and used to predict build settings that improve application performance (e.g., on a specific computing system or computing system configuration).

Abstract: An elevator assembly for a harvester may include an elevator housing and an elevator extending within the elevator housing between a proximal end and a distal end. As such, the elevator may be configured to carry harvested crops between its proximal and distal ends. Furthermore, the elevator assembly may include a storage hopper extending from the elevator housing at a location adjacent to the distal end of the elevator. The storage hopper may include a conveyor extending within the storage hopper between a first end and a second end, with the conveyor configured to carry the harvested crops between its first and second ends towards a discharge opening of the storage hopper.

Abstract: A least-square migration, LSM, based method for generating a 4D image of a subsurface, the method including receiving seismic data d related to the subsurface, the seismic data d including a baseline dataset dB and a monitor dataset dM, calculating a baseline filter B and a monitor filter M based on a same common reflectivity r of the subsurface and corresponding remigrated baseline data mB1 and remigrated monitor data mM1 so that the base filter B applied to the remigrated baseline data mB1 equals the monitor filter M applied to the remigrated monitor data mM1, applying the baseline filter B to raw migrated baseline data mB0 and applying the monitor filter M to raw migrated monitor data mM0 to generate LSM baseline data mB and LSM monitor data mM, and generating the 4D image of the subsurface based on the LSM baseline data mB and the LSM monitor data mM.

Abstract: A conveyor roller structural assembly for harvesters, such as those intended for harvesting tall and stalky plants, such as sugarcane and sweet sorghum, with this structural assembly being designed and developed to eliminate material losses through the displacement openings of the floating rollers. The conveyor roller structural assembly is formed by a conveyor roller whose bearings are mounted on support bases, and these support bases are anchored on a pivoting bar which is rotatable about its axis, said structural assembly also comprising at least one closing tab which is mounted in an articulated manner with the support base through a connector element, and it is configured to close a displacement opening provided in the side wall of the chassis of the harvester.

Abstract: A harvester includes a chopper assembly configured to process harvested crops and an elevator positioned downstream of the chopper assembly such that the harvested crops processed by the chopper assembly are received by the elevator. The harvester also includes a storage hopper located adjacent to a distal end of the elevator and positioned to receive the harvested crops therefrom, and a conveyor extending within the storage hopper between a first end and a second end of the conveyer, with the conveyor configured to carry the harvested crops between its first and second ends towards a discharge opening of the storage hopper. Additionally, the harvester includes a door positioned adjacent to the discharge opening of the storage hopper, and a door actuator coupled to the door. The door actuator is configured to move the door relative to the discharge opening between an opened position and a closed position.

Abstract: An elevator assembly for a harvester may include an elevator housing and an elevator extending within the elevator housing between a proximal end and a distal end. As such, the elevator may be configured to carry harvested crops between its proximal and distal ends. Furthermore, the elevator assembly may include a storage hopper extending from the elevator housing at a location adjacent to the distal end of the elevator, The storage hopper may include a conveyor extending within the storage hopper between a first end and a second end, with the conveyor configured to carry the harvested crops between its first and second ends towards a discharge opening of the storage hopper.

Abstract: An elevator assembly for a harvester may include an elevator housing and an elevator extending within the elevator housing between a proximal end and a distal end. As such, the elevator may be configured to carry harvested crops between its proximal and distal ends. Furthermore, the elevator assembly may include a storage hopper extending from the elevator housing at a location adjacent to the distal end of the elevator. The storage hopper may include a conveyor extending within the storage hopper between a first end and a second end, with the conveyor configured to carry the harvested crops between its first and second ends towards a discharge opening of the storage hopper.

Abstract: Examples include a system comprising a non-volatile memory to store a machine-learning data structure. Examples access the machine-learning data structure with a first processing resource, and examples access the machine-learning data structure with a second processing resource, which includes at least one graphics processing core, such that the machine-learning data structure is a shared memory space of the first processing resource and the second processing resource.

Abstract: Systems and methods for allocating computing resources within a distributed computing system are disclosed. Computing resources such as CPUs, GPUs, network cards, and memory are allocated to jobs submitted to the system by a scheduler. System configuration and interconnectivity information is gathered by a mapper and used to create a graph. Resource allocation is optimized based on one or more quality of service (QoS) levels determined for the job. Job performance characterization, affinity models, computer resource power consumption, and policies may also be used to optimize the allocation of computing resources.

Abstract: A system and method for processing application performance using application phase differentiation and detection is disclosed. Phase detection may be accomplished in a number of different ways, including by using a deterministic algorithm that looks for changes in the computing resource utilization patterns (as detected in the performance data collected). Machine learning (ML) and neural networks (e.g. sparse auto encoder SAE) may also be used. Performance data is aggregated according to phase and stored in a database along with additional application and computing system information. This database may then be used to find similar applications for performance prediction.

Abstract: Systems and methods for allocating computing resources within a distributed computing system are disclosed. Computing resources such as CPUs, GPUs, network cards, and memory are allocated to jobs submitted to the system by a scheduler. System configuration and interconnectivity information is gathered by a mapper and used to create a graph. Resource allocation is optimized based on one or more quality of service (QoS) levels determined for the job. Job performance characterization, affinity models, computer resource power consumption, and policies may also be used to optimize the allocation of computing resources.

Abstract: The present invention proposes a device capable of allowing remote unlocking operation and remaining compatible with the possibility of a mechanical and manual drive. The device is a hydraulic actuator (2) with hydraulic power supply through the lines coming from the platform. It also has a handle (4) for manual driving. The invention allows cost reduction with PLSVs (waiting for diving and standby weather) and with diving activities themselves, in addition to greater agility in pull-out operations. Further, it promotes the diminishment of the need for diving and, consequently, lower MHRE (Man-Hour of risk exposure).

Abstract: Examples disclosed herein relate to receiving a query via a chat interaction, translating the received query into one of a set of predefined commands according to a trained machine-learning model, and providing a result of the one of the set of predefined commands to the chat interaction.

Abstract: Methods and apparatuses for seismic data processing perform a least-squares reverse time migration method in which surface-attribute-independent coefficients for the surface attribute gathers are demigrated to reduce the computational cost.

Abstract: Seismic exploration of an underground formation uses seismic excitations to probe the formation's properties such as reflectivity that can be imaged using reverse time migration. Using an equal area spherical binning at reflection points improves and simplifies RTM imaging together with adaptability to the data acquisition geometry, while overcoming drawbacks of conventional cylindrical binning.

Abstract: Systems and methods for estimating the scalability of applications in high performance computing and distributed computing environments and for configuring applications based on those estimates are disclosed. A model is disclosed that provides an estimate of the scalability behavior of an application based on basic parameters and a small number of runs on bare metal and cloud systems. The system may also be configured to use the estimated performance to recommend optimal configurations based on different policies, including best performance, lowest cost, and best performance per cost.