Abstract: A variable compression ratio device is configured to be incorporated into an internal combustion engine. The internal combustion engine includes one or more cylinders housing pistons that are coupled to a crankshaft. The variable compression ratio device includes a rotation coupler assembly formed by gears that have internal and external teeth, the rotation coupler assembly being disposed at a distal end of the crankshaft to cause the crankshaft to rotate. Translation variations of the crankshaft are to be converted into rotation and transmitted to at least one of a toothed gear or a flange of a flywheel.

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 collecting performance data in high performance computing systems are disclosed. To prevent massive amounts of performance data from overwhelming the system and negatively impacting performance, collected performance data may be processed into two databases: (i) an aggregate database, and (ii) a time-series database holding the newest information for real time performance analysis. Storage space may be saved by using a FIFO buffer to store collected performance data. A real-time performance collection engine may adjust the performance sampling interval used and the particular performance counters used based on measured system impact and feedback from other system modules consuming the performance data.

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: A system and method for generating performance assistance charts is disclosed. An application performance spectrometer aggregates collected application performance data by scaling, normalizing and quantizing the data so that all samples indicative of low performance appear on one side of the graph, all samples indicative of high performance appear on the other side of the graph, and samples in between are positioned relative to those two poles in quantized buckets. The spectrometer may be used to visualize an application's performance characteristics, and as an application fingerprint may be used to compare different applications and determine which have similar performance profiles.

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.

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: 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: 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.