Abstract: Systems and methods are provided for optimally determining sensor or infrastructure placement in a fluid network, for determining an anomaly of interest in the fluid network, and for determining sensor coverage in a fluid network, which are based on a model of the fluid network represented by a directed graph.

Abstract: A pre-step co-simulation method and device for co-simulation of several subsystems is disclosed, utilizing partial derivatives of replacement subsystems. On this basis, the exact solutions of output variables of the individual subsystems are approximated by evaluation of an Error Differential Equation in order to estimate the future progress of the approximated exact output variables; corresponding input variables are determined by optimization prior to the current co-simulation time increment. The pre-step co-simulation method is realized within a computer-executable program and implemented in a network of computing nodes.

Abstract: A method of operating a targeting system simulation tool (TSST) includes providing a TSST configured to receive an obstacle/effect parameterization, a simulation parameterization, a sensor parameterization, an aircraft parameterization, and an autonomy parameterization. The method further includes receiving by the TSST, at least one of each of an obstacle/effect parameterization and a simulation parameterization. The method further includes receiving by the TSST, either (1) a sensor parameterization or (2) an aircraft parameterization. The method further includes operating the TSST to apply the provided ones of the obstacle/effect parameterization, simulation parameterization, sensor parameterization, and aircraft parameterization to generate a value, value range, or value limit for the unprovided aircraft parameterization or unprovided sensor parameterization.

Abstract: A method and system create a model of a set of relationships between a set of parent computer network objects and a set of corresponding child computer network objects, over a period of time, and output a user interface graphing the model in a single view to illustrate the set of relationships over the period of time. The parent computer network objects include virtual machines and the child computer network objects include hosts. The user interface includes a search option to provide for a search of problems with the child computer network objects over the period of time.

Abstract: A method for analyzing a processor design includes receiving a design for a processor and receiving an application to be executed by the processor. The method includes simulating the execution of the application on the processor based on the design to identify unexercisable gates of the processor.

Abstract: Method, system, and programs for measuring user engagement. In one example, a model generated based on user activities with respect to a plurality pieces of content is obtained. One or more actual occurrences of the user activities with respect to one piece of the plurality pieces of content are identified. One or more future occurrences of the user activities with respect to the piece of content are estimated based on the model. A user engagement score with respect to the piece of content is calculated based on the one or more actual occurrences of the user activities and the one or more future occurrences of the user activities.

Abstract: The systems and methods described herein disclose vehicle positioning and benefit distribution in a vehicle platoon. As described here, vehicles are organized in the platoon based on maximum benefit to the platoon as a whole. The systems and methods then determine the difference in benefit received between each platoon member and equalize between members. The systems and methods can include determining cumulative travel benefits for a group of vehicles. A platoon organization can then be created to achieve the cumulative travel benefits. A platoon can then be created using the platoon organization. The benefit distribution of the platoon can then be determined. Then, the actualized benefits can be apportioned to the one or more platoon members based on the benefit distribution.

Abstract: An emulation processor may be configured to support emulating unknown binary logic based on non-arbitrariness of the unknown binary logic. For example, an unknown binary logic signal may take the finite binary values of 0 and 1. The circuitry in the emulation processor is configured to generate and propagate outputs based on the interactions of known input binary signals with the unknown input binary signals having non-arbitrary states. The emulation processor may support the both combinational and sequential operations associated with the unknown binary logic.

Abstract: A state-estimator for the estimation or initialization of the state of a discrete-time state-space dynamical model based on sensor measurements of the model output, comprising fitting a continuous-time function to acquired sensor measurement data-points of each model output, and subsequently sampling the continuous time function at exactly the sample-period of the state-space dynamic model for which the state is being estimated or initialized, in order to construct a model state via a synthesized output trajectory.

Abstract: A method and apparatus for checking compliance of a design for a product with design rules. An executable rule module comprising the design rules is received. The design rules comprise design checking rules that specify conditions. Design data representing the design is received. The executable rule module is run using the design data to determine compliance of the design with the design rules by determining whether the design satisfies the conditions. A compliance report to indicate the compliance of the design with the design rules is generated. The design data may be used to manufacture the product in response to a determination that the design complies with the design rules.

Abstract: A method can include receiving a mesh that represents a geologic environment where the mesh includes elements; receiving location information for a discontinuity in the geologic environment; based at least in part on the location information, defining enrichment equations for a portion of the elements where the enrichment equations include a jump function that models the discontinuity; solving a system of equations for an implicit function where the system of equations includes the enrichment equations; and, based at least in part on the solving, outputting values for the implicit function with respect to at least a portion of the mesh.

Abstract: A method and a device for calculating a power generation of a wind farm is provided. The method includes: determining whether a terrain complexity of a wind farm field exceeds a predetermined complexity; determining a representativeness of anemometer tower data in the wind farm field in a case where the terrain complexity exceeds the predetermined complexity; performing a mesoscale numerical simulation of a meteorological variable in the wind farm field in a case where the anemometer tower data is unrepresentative; extracting mesoscale numerical simulation data as virtual anemometer tower data; and calculating the power generation of the wind farm by using the virtual anemometer tower data.

Abstract: A method is performed for defining optimal landing location(s) of horizontal wells for hydraulic fracturing stimulation, for improved well performance of unconventional reservoirs. The method includes evaluating one or more planes of weakness, pinch-out points, or thin rock layering in the reservoir that may impede hydraulic fracture growth or may close fractured sections during production. The method can include conducting detailed analysis on core and open hole logs, and defining the presence, density, orientation, spacing, and mechanical properties of various thin interfaces and barriers in the rock mass. The method can include classifying the barriers or thin interfaces based on their effect on hydraulic fracture growth or fracture connectivity, and on uncertainty of their effect.

Abstract: In one embodiment, a computing system may be configured to generate accurate and realistic computer-generated clothing for a given body pose. For example, the system may access a data representation of a body pose and generate, based on the data representation, a 3D clothing model for the body pose using a statistical model. The system may generate a first normal map, such as a low-resolution normal map, based on the 3D clothing model. The system may generate a second normal map, such as a high-resolution normal map, by processing the first normal map using a machine-learning model that is trained to generate normal maps with higher levels of detail from normal maps with relatively lower levels of detail. The system may then render clothing for the body pose based on the 3D clothing model and the second normal map.

Abstract: Embodiments of the present disclosure introduce an offset-based representation for a computation graph of a neural network model. In this representation, the edges in the graph are implemented as offsets to the base address of the graph when the model is loaded into memory rather than pointers to address locations in memory. By replacing the pointer fields with offsets, the model in memory is no longer dependent on the allocation of memory. This overcomes the limitations of performance and/or power that is critical for comparing two models and copying a model to another memory location in latency sensitive applications and in mobile environments.

Abstract: An apparatus of an autonomous device comprises one or more state estimators to estimate one or more states of the autonomous device, wherein the one or more state estimators are to generate one or more derivatives of translational measurements, orientation measurements, reference translational values, and reference orientation values, and one or more controllers to receive an output from the one or more state estimators to provide control signals to control the autonomous device. The one or more state estimators include a hardware differentiator to generate the one or more derivatives.

Abstract: Embodiments relate to tenant-side detection and mitigation of performance degradation resulting from interference generated by a noisy neighbor in a distributed computing environment. A first machine-learning model such as a k-means nearest neighbor classifier is operated by a tenant to detect an anomaly with a computer system emulator resulting from a co-located noisy neighbor. A second machine-learning model such as a multi-class classifier is operated by the tenant to identify a contended resource associated with the anomaly. A corresponding trigger signal is generated and provided to trigger various mitigation responses, including an application/framework-specific mitigation strategy (e.g., triggered approximations in application/framework performance, best-efforts paths, run-time changes, etc.), load-balancing, scaling out, updates to a scheduler to avoid impacted nodes, and the like. In this manner, a tenant can detect, classify, and mitigate performance degradation resulting from a noisy neighbor.

Abstract: A subdomain hybrid cellular automata method for solving car body thickness optimization includes an outer loop and an inner loop: the outer loop is to conduct crash finite element simulation analysis, calculate an output response, and update a cell internal energy density, and update a target mass using a penalty function method; the inner loop is mainly to adjust a cell thickness using a PID control strategy according to internal energy densities of a current cell and neighboring cells thereof, so that a current mass of the inner loop converges to the target mass; and finally the cell internal energy density distribution approaches a step target internal energy density function as much as possible. Step target internal energy density update rules are provided in the inner loop. Cell thickness update rules based on a PID control strategy are provided in the inner loop.

Abstract: A computer program causes a computer to execute processing of simulating behavior of an electromagnetic component including a coil at each of a plurality of time points based on an analytic model of the electromagnetic component. The processing comprises creating a look-up table storing a flux linkage of the coil, an inductance of the coil and a current in the coil that are obtained by a magnetic field analysis based on the analytic model in association with one another, and simulating behavior of the electromagnetic component by referring to the look-up table using currents in the coil calculated at a previous simulation step and at a step before the previous simulation step.

Abstract: A system is provided for determining the material loading condition of a bucket of a material moving machine. The system includes an arrangement for generating a surface model of the surface of the material loaded into the bucket and comparing the surface model with a predefined preferred surface shape associated with the bucket.