Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

Abstract: A method includes: mapping a boundary of a volume of flowing fluid; partitioning the volume by a computational mesh; finding a contaminant location at a first sensor that is disposed within the volume; obtaining a measured velocity of the flowing fluid within the volume; generating a reversed velocity vector field within the mesh, in response to the measured velocity; time stepping the contaminant location from the first sensor along the reversed velocity vector field until the contaminant location intersects the boundary of the volume; and finding a contaminant source at the intersection of the time stepped contaminant location with the boundary of the volume.

Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify, from the sensing data, a target vehicle in the environment of the host vehicle; predict a distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a host vehicle braking distance based on a braking capability, acceleration capability, and speed of the host vehicle; determine a target vehicle braking distance, based on a speed and braking capability of the target vehicle; and implement the planned navigational action when the predicted distance of the planned navigational action is greater than a safe longitudinal distance being calculated based on the host vehicle and target vehicle braking distances.

Abstract: Systems, methods, and machine-readable media for defining data formats, reflecting system states of managed systems, and managing aspects of those systems via a logically centralized proxy are disclosed. Resources may be represented within a resource provider definition, a package of data format and interaction methods used to instantiate a resource provider, which is a running instance of an executable from the resource provider definition. Users may submit new resource provider definitions, view a list of definitions, and delete definitions. A resource provider service may access the resource provider definition and instantiate a resource provider. The resource provider instance instantiated from the resource provider definition exposes an API, via the resource provider service, to manage data items defined for the resource(s) in the resource provider definition. When the resource is changed, information tracking the state may be updated to reflect the new state of the managed resource.

Abstract: Systems, devices, and methods related to a Deep Learning Accelerator and memory are described. An edge server may be configured on a local area network to receive sensor data of a person, such as a patient in a hospital or care center. The edge server may be implemented using an integrated circuit device having: a Deep Learning Accelerator configured to execute instructions with matrix operands; and random access memory configured to store first instructions of an Artificial Neural Network executable by the Deep Learning Accelerator and second instructions of a server application executable by a Central Processing Unit. An output of the Artificial Neural Network with the sensor data as input may identify a condition of the person, based on which the server application generates an alert, causing a central server to request intervention of the detected or predicted condition for the person.

Abstract: A method of continuously determining a measure of quality for a control device of a technical device or for a system model of a technical system, from an input variable and an output variable. Time series of the input variable and the output variable are acquired up to a time step. A discrete ARMAX model structure is adapted for the ascertained, corresponding time series of the input variable and output variable, in order to determine a first set of parameters for modeling the time series of the input variable and a second set of parameters for modeling the time series of the output variable. The measure of quality is determined for the time step as a function of the first and the second set of parameters.

Abstract: A system and method including identifying lane line data associated with a road within the sensor data; modelling a geometry of the road as a sequence of road segments, each road segment being defined by parameters including a curvature rate and a road grade rate; generating, based on a mathematical representation of the modelled road geometry, an approximation of each road segment; and generating, based on the generated approximation of each road segment, a three-dimensional representation of the road including the sequence of segments.

Abstract: The present disclosure provides systems and methods for scalable and parallel computation of hierarchical cascading in finite element method (FEM) simulations of surface acoustic wave (SAW) devices. Different computing units of a cluster or cloud service may be assigned to independently model different core blocks or combinations of core blocks for iterative cascading to generate a model of the SAW devices. Similarly, frequency ranges may independently be assigned to computing units for modeling and analysis of devices, drastically speeding up computation.

Abstract: The present disclosure provides systems and methods for automatic packaging determination comprising a memory storing instructions and at least one processor performing steps comprising: receiving an order comprising at least one item; searching a data store to determine a tag, volume, and weight associated with each item; sorting the items into groups based on the tags of the items; performing an optimization process for each group of items having the same tag by: creating a data structure representing a first package of the group; iteratively simulating packing a largest remaining item of the group into the first package, wherein if the simulating determines that a threshold is exceeded: creating an additional data structure representing an additional package, and iteratively simulating packing a largest remaining item until all items of the group are packed into a package; and generating at least one list of items for the data structures representing packages.

Abstract: Methods and systems for introducing self-contained intent functionality into decentralized computer networks is described. Specifically, the methods and systems for encoding user intent (e.g., what functions a value may be used for) into data structures for computer programs and/or transaction protocols intended to automatically execute, control, or record events and actions according to predetermined terms or criteria are described herein. For example, the methods and systems may include using a permission structure native to one or more cryptocurrencies to provide additional functionality that allows for an intent to be introduced into the computer program and/or transaction protocol. This intent may be introduced using a routing data structure indicating exchange eligibility of resource sources.

Abstract: A dialysis machine (e.g., a peritoneal dialysis (PD) machine) can include a control unit configured to operate in a hybrid automated mode during a PD treatment. A processor in the control unit is configured to engage a pump during a fill phase of the PD cycle. The volume of fluid (e.g., dialysate) transferred to a patient line during the fill phase is monitored. After a dwell period, the pump is disengaged at the start of a drain phase of the PD cycle. Disengaging the pump can include: configuring valves of a disposable cassette to bypass the pump chambers of a disposable cassette; activating a bypass valve to shunt the patient line to a drain line; or moving a roller assembly of a peristaltic pump. The fluid transferred from the patient line to the drain line is monitored during the drain phase of the PD cycle.

Abstract: A method for controlling the course of a signal flow-based computer program having interconnected software components and at least one DF loop. The following method steps are performed: a) identifying the at least one DF loop and the DF components, each DF component instantaneously imaging at least one DF input signal present at at least one component input onto at least one output signal present at at least one component output, b) determining the maximum possible change of the values of the DF input signals for each unit of time from at least one property of the respective DF input signal, c) activating a delay element in front of the component input where a DF input signal is present whose value has the smallest maximum possible change, and d) running the computer program in accordance with the connection of the software components ascertained in steps a) to c).

Abstract: An improved solution accurately predicts of an underground pipe's likelihood of leaking. A data-driven approach uses a combination of information acquisition, classification, regression and/or machine learning. The replacement of underground pipes can be prioritized. Pipe data is inputted and processed. Potential features within the cleaned data is used in pipe life of failure prediction models. The importance of the potential features is ranked. The most important features are extracted and applied to a likelihood of failure model that is created based on historical data and machine learning. Future likelihood of failure for each pipe in the network of pipes can be predicted using the model.

Abstract: A method and system for modeling aerodynamic interactions in complex eVTOL configurations for realtime flight simulations and hardware testing which includes decomposing the aircraft into aerodynamic subcomponents, wherein the interactions between these components are handled by flow simulations of the surrounding fluid, which may be Euler flow CFD simulations. The system may be used as a flight simulator for pilot training in a realtime environment. The system may be used to support component testing using an interface to those components, such as flight electronics and actuators, to test the components in high fidelity simulations of actual flight demands on those components. The system may also be used to support design analysis in non-realtime to run numerous simulations on different designs and to provide comparative output.

Abstract: A compact mmW spectroscopy cell system for detecting volatile organic compounds (compounds) in a gas. The system includes a gas collection chamber, an input buffer cavity for receiving the gas from the gas collection chamber, pumping devices to pass the gas from the buffer cavity to an absorption cell and maintain pressure, and a transceiver connected to the cell. The transceiver interrogates the absorption cell filled with the gas by passing a high frequency electromagnetic signal and sweeping the signal to generate an absorption spectra which is compared to a spectroscopy database for detecting the compounds in the gas. The absorption cell, collection chambers, and pumping devices are fabricated with standard CMOS processing techniques at chip and wafer scale. The transceiver bonded to the absorption cell with chip scale integration.

Abstract: A global computer aided engineering (CAE) model representing an electronic product that contains solder joints and an individual detailed solder joint model are received. The solder joint model can include a solder ball, one or more metal pads, a portion of printed circuit board, and a portion of semiconductor chip component. The global CAE model includes locations of the solder joints to be evaluated in a drop test simulation. The solder joint model is replicated at each location to create a local CAE model via a geometric relationship between the global CAE model and the local CAE model. Simulated physical behaviors of the product under a design condition are obtained in a co-simulation using the global CAE model in a first time scale and the local CAE model in a second time scale. Simulated physical behaviors are periodically synchronized based on kinematic and force constraints.

Abstract: A user selects a data source, and a computer displays a data visualization in a data visualization user interface according to the data source. The data visualization includes visual data marks representing data from the data source. The user selects a subset of the visual data marks. In response, the computer displays a view data window having a summary of the selected data marks. The computer obtains a data model encoding the data source as a tree of logical tables. The computer identifies aggregate measures corresponding to the selected data marks, where each aggregate measure is aggregated from logical tables of the data model. The computer displays each aggregate measure in the view data window. The computer also displays, in the view data window, one or more level of detail calculations referenced in the selected subset of visual data marks.

Abstract: Systems, methods and article provide the services of heterogeneous resources, for example the services analog processors, e.g., quantum processors, in a robust manner that can include high availability, failover, and load balancing of the heterogeneous resources. A virtual solver is selected based at least in part on a first set of requirements, a first set of analog processors is identified based at least in part on the first set of requirements, and a first handle returned to the first virtual solver. A load balancer may balance loads. Failure over may be implemented.

Abstract: Systems and methods for automated resource allocation during a computational simulation are described herein. An example method includes analyzing a set of simulation inputs to determine a first set of computing resources for performing a simulation, and starting the simulation with the first set of computing resources. The method also includes dynamically analyzing at least one attribute of the simulation to determine a second set of computing resources for performing the simulation, and performing the simulation with the second set of computing resources. The second set of computing resources is different than the first set of computing resources.

Abstract: Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

Abstract: A method includes, using a probe, applying irreversible electroporation (IRE) pulses to tissue over a time period to form a lesion in the tissue. A contact force applied to the tissue by the probe is measured over the time period. An IRE index is calculated based on the measured contact force and on a power level of the IRE pulses. Application of the IRE pulses to the tissue is ceased in response to the calculated IRE index reaching a prespecified target IRE index value.

Abstract: Scalable order event monitoring and handling is provided. A fulfillment process of an order may be represented by a plurality of events corresponding to state or status changes of items included in the order. Consistent hashing is used to track order events to associate events that are tied to a same order to each other and to ensure associated events are distributed to a same general computing device/cluster for tracking purposes, while allowing parallel storage of order events across multiple separate data stores. Additionally, the order process may be represented as a weighted directed graph, which can help track missing events and order transitions efficiently.

Abstract: Embodiments described herein include a system for generating a drainage radius log per well that includes a computing device that receives well data associated with a plurality of wells, utilizes the well production data to calculate a value for cumulative liquid produced by each of the plurality of wells for a predetermined time period, and utilizes at least a portion of the well data to calculate a fractional contribution for each of the plurality of wells. In some embodiments the computing device utilizes the value for cumulative liquid produced for each of the plurality of wells and the fractional contribution to calculate a cumulative liquid production for each of the plurality of wells, utilizes the cumulative liquid production to calculate the drainage radius log for each of the plurality of wells, and outputs the drainage radius log for display.

Abstract: A bridge damage identification method considering uncertainty is used for damage identification based on a convolutional neural network. A domain classifier is added to form a domain adversarial transfer network, a finite element model of a bridge and a time domain acceleration signal of a real structure serve as input, and parameters in a feature extractor are continuously updated in an adversarial process of the domain classifier and the feature extractor, so as to design a brand-new feature extractor, and to achieve a purpose that extracted features are only sensitive to damage. The bridge damage identification method can solve the problem that model-based methods for bridge damage identification are influenced by environment uncertainty or modeling error to generate a difference between the finite element model and the real structure, resulting in reduction in damage identification performance of the method in practical application.

Abstract: A method for determining a converter Thevenin equivalent model for a converter system, includes: receiving measurement values of a coupling point voltage and a coupling point current measured at a point of common coupling between a grid emulator system and the converter system, wherein the grid emulator system supplies the converter system with a supply voltage; and determining a converter Thevenin impedance and a converter Thevenin voltage source of the converter Thevenin equivalent model by inputting the measurement values of the coupling point voltage and of the coupling point current into a coupled system model, which includes equations modelling the converter system and the grid emulator system and from which the converter Thevenin impedance and a converter Thevenin voltage source are calculated.

Abstract: An optimal dispatching method and system for a wind power generation and energy storage combined system are provided. Uncertainty of a wind turbine output is characterized based on spatio-temporal coupling of the wind turbine output and an interval uncertainty set. Compared with a traditional symmetric interval uncertainty set, the uncertainty set that considers spatio-temporal effects effectively excludes some extreme scenarios with a very small probability of occurrence and reduces conservativeness of a model. A two-stage robust optimal dispatching model for the wind power generation and energy storage combined system is constructed, and a linearization technology and a nested column-and-constraint generation (C&CG) strategy are used to efficiently solve the model.

Abstract: Embodiments are disclosed for text-aware application of a color gradient to text characters. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including a set of text characters in a first layout, determining a first text path of the set of text characters in the first layout, mapping the set of text characters from the first layout to a second layout, wherein the set of text characters in the second text path are aligned along a coordinate axis, applying a linear color gradient across the mapped set of text characters in the second layout, reverse mapping the set of text characters with the applied linear color gradient from the second layout to the first layout, and outputting the set of text characters in the first layout with the applied linear color gradient from the second layout based on the reverse mapping.

Abstract: In some examples, a system aggregates operational metric data of a plurality of storage volumes into aggregated operational metric data groups that correspond to different workload types of workloads for accessing data of a storage system. The system computes an operational metric for a first workload type of the different workload types, the operational metric relating to a resource of the storage system, where the computing of the operational metric for the first workload type comprises inputting aggregated operational metric data of a first aggregated operational metric data group of the aggregated operational metric data groups into a model trained at a system level of the storage system.

Abstract: Provided is a fuel design configured to have a thickness that is equal to or less than a mean-free path of electrons emitted by a radioactive energy source to prevent electrons produced thereby from being stopped within the fuel design and thus decreasing the intensity of bremsstrahlung radiation generated within the fuel design. Additionally provided is a two-phase shielding system including a first shield formed of a first material having a thickness exceeding a mean-free path of an electron emitted from a radioactive source material so as to prevent the electron from passing through the first shield, and a second shield formed of a second material configured to prevent bremsstrahlung radiation generated by the electron from passing through the second shield.

Abstract: Systems and techniques for facilitating hand activity sensing are presented. In one example, a system obtains, from a wrist-worn computational device, hand activity data associated with a sustained series of hand motor actions in performance of a human task. The system also employs a machine learning technique to determine classification data indicative of a classification for the human task.

Abstract: Systems and methods are disclosed for scheduling a workforce. In one embodiment, the method comprises receiving a shift activity template; receiving an association between the shift activity template and at least one worker; and scheduling a plurality of schedulable objects. The scheduling is performed in accordance with a workload forecast and schedule constraints. Each of the schedulable objects is based on the shift activity template. The shift activity template describes a worker activity performed during a shift. The template has range of start times and a variable length for the activity. The activity is associated with a queue.

Abstract: A method for training a backpropagation-enabled regression process is used for predicting values of an attribute of subsurface data. A multi-dimensional seismic data set with an input dimension of at least two is inputted into a backpropagation-enabled process. A predicted value of the attribute has a prediction dimension of at least 1 and is at least 1 dimension less than the input dimension.

Abstract: A method of enhanced backward/forward sweep based power flow analysis is described. The method can include performing a backward sweep to determine first branch currents of a radial distribution network based on nodal voltages determined at a last iteration. The radial distribution network can include nodes and branches that are sequentially numbered and belong to different layers. A forward sweep is determined to determine first nodal voltages of the radial distribution network based on the first branch currents. Second branch currents of the radial distribution network are determined based on the first nodal voltages. The second branch current of the respective node is a sum of a nodal injection current of the respective node that is updated based on the first nodal voltage of the respective node, and if available, the first branch currents of branches emanating from the respective node.

Abstract: Systems, methods, and computer program products for adaptively splitting electronic chats are provided. One embodiment includes receiving, by an electronic discovery system executing on a computer processor, an electronic chat comprising a set of electronic chat messages, each of the electronic chat messages in the set of electronic chat messages having a timestamp; determining a set of time gaps between the electronic chat messages from the set of electronic chat messages; determining a set of models that model the set of time gaps, selecting an optimum model from the set of models; based on selecting the single Gaussian distribution as the optimum model, determining that the electronic chat comprises a single electronic chat message or based on selecting the Gaussian mixture model as the optimum model, performing an adaptive splitting of the set of electronic chat messages into a set of conversations based on the Gaussian mixture model.

Abstract: A computer-implemented method for simulation of an electrical circuit with circuit components by at least one computing unit includes mapping a coupling of the substate representations in a coupling equation system for exchange of calculated coupling variables between the subcircuits. The method also includes calculating, in an evaluation step, at least one stability parameter on a basis of the coupling equation system, and deciding, in a selection step and depending on the at least one calculated stability parameter, whether the current separation of the electrical circuit into subcircuits will be used as the basis of the simulation. The method further includes performing, after a successful selection, the simulation of the electrical circuit by calculating the substate space representations on the at least one computing unit.

Abstract: A radiation effect shielding calculation method based on a three-dimensional spacecraft model is provided.

Abstract: A method for providing a real-time-capable simulation for control unit development, wherein the real-time-capable simulation simulates a control unit or an environment of a control unit or a combination of a control unit and an environment of the control unit. The real-time-capable simulation has a co-simulation of a real-time-capable sub-simulation and a non-real-time-capable sub-simulation that interacts with the real-time-capable sub-simulation, wherein the real-time-capable sub-simulation and the non-real-time-capable sub-simulation are designed for communication of simulation data. The real-time-capable sub-simulation has a first simulation time corresponding to real time and the non-real-time-capable sub-simulation has a virtual, second simulation time that is coupled to the first simulation time and that matches the first simulation time at the start of the real-time-capable simulation.

Abstract: Systems, methods, apparatuses, and computer-readable media for computational model optimization. A plurality of sampled values for a hyperparameter of a computational model may be received, the plurality of sampled values comprising a subset of a plurality of possible values for the hyperparameter, each sampled value associated with a performance metric for the computational model with the sampled value assigned to the hyperparameter. A first candidate value from the plurality of possible values may be determined, the first candidate value having a distance to a first sampled value of the plurality of sampled values that exceeds a threshold distance, wherein the distance is in a space comprising the plurality of possible values. The first candidate value may be assigned to the hyperparameter of the computational model. A first performance metric may be determined for the computational model with the first candidate value assigned to the hyperparameter.

Abstract: The present invention discloses a hoisting container pose control method of a double-rope winding type ultra-deep vertical shaft hoisting system. The method comprises the following steps of step 1, building a mathematical model of a double-rope winding type ultra-deep vertical shaft hoisting subsystem; step 2, building a position closed-loop mathematical model of an electrohydraulic servo subsystem; step 3, outputting a flatness characteristics of a nonlinear system; step 4, designing a pose leveling flatness controller of a double-rope winding type ultra-deep vertical shaft hoisting subsystem; and step 5, designing a position closed-loop flatness controller of the electrohydraulic servo subsystem.

Abstract: Systems and methods include determining which services in a single Optical Transport Unit Cn (OTUCn) that is transmitted in an optical network via a plurality of optical carriers are affected by failed one or more optical carriers of the plurality of optical carriers; continuing to operate the single OTUCn with unaffected one or more optical carriers of the plurality of optical carriers; and adjusting some or all of the services from the failed one or more optical carriers to the unaffected one or more optical carriers.

Abstract: The present disclosure provides systems and methods for automatic packaging determination comprising a memory storing instructions and at least one processor performing steps comprising: receiving an order comprising at least one item; searching a data store to determine a tag, volume, and weight associated with each item; sorting the items into groups based on the tags of the items; performing an optimization process for each group of items having the same tag by: creating a data structure representing a first package of the group; iteratively simulating packing a largest remaining item of the group into the first package, wherein if the simulating determines that a threshold is exceeded: creating an additional data structure representing an additional package, and iteratively simulating packing a largest remaining item until all items of the group are packed into a package; and generating at least one list of items for the data structures representing packages.

Abstract: Systems and methods are provided for efficient box packing and visualization. One method comprises receiving, from a remote system, an order comprising at least one item; searching at least one data store to determine dimensions associated with the at least one item; and modifying dimensions of at least one largest item of the order using a factor. The method may further comprise selecting a data structure representing a first package, the data structure comprising a size of the first package; iteratively simulating packing the items into the first package based on the modified dimensions, until all items are packed in the selected package; and generating at least one set of instructions for packing the items into the selected package. The method may further comprise sending the generated instructions to a second system for display, the instructions including at least one item identifier and one package identifier.

Abstract: In an embodiment, a computer-implemented method of generating and displaying a comprehensive depiction of a weather element comprises: based on archived forecast model and observed data, training a machine learning model; calibrating current forecast data by applying the machine learning model to yield a calibrated forecast probability density function; displaying graphical representation of recently observed data and calibrated forecast probability density.

Abstract: An optimization system includes a processor configured to receive one or more criteria for optimizing use of a power storage device in an application device, to receive data comprising at least one of user input(s), data from a cloud, and data regarding the application device, and to determine a charging/discharging profile for charging or discharging the power storage device from the received data based on the one or more criteria. The optimization system further includes an output configured to output the charging/discharging profile. The processor is configured to receive user feedback regarding the charging/discharging profile, machine learning data, big data, and/or a change regarding the optimization system and/or the application device, and to update the charging/discharging profile based on the received at least one of the user feedback regarding the charging/discharging profile, machine learning data, big data and the change regarding the optimization system and/or the application device.

Abstract: System and Method for generating textures on an object on the basis of the particles emitted by a particles engine, including: an access to data of a particles emitter, of particles emitted, of target object, of traces, and of graphical effects; an animation simulation module provided so as to perform a simulation of emission and of displacement for each of the particles provided; a tracer module provided for generating a trace on the surface of a target object corresponding to the displacement of a particle along said surface after an impact of the particle against the target object with the aid of the traces data and of the target object data; and a physical parameters integrator module provided for generating a new set of textures for said object taking into account the date of the object, the data of each new or modified trace, and the data of the corresponding graphical effects.

Abstract: Systems and methods detect a potential hacking attack by monitoring the number and timing of DELBA (Delete Block Acknowledgement) action frames. When the number and timing of the DELBA action frames correspond to an unauthorized access pattern, an unauthorized access is detected. The potential unauthorized access may be detected by an access point (AP) or by the AP and a backend system. When a potential unauthorized access is detected, the AP may remain in silent mode for a longer period of time and limit access to the network to only trusted devices. In addition, an alarm or other notification of the potential unauthorized access may be provided to a user or other designated contact.

Abstract: A geological core inspection system that includes a table to support core samples for inspection, a robotic geological core inspection system including a core sample sensing system to acquire sample inspection data (including an imaging sensor and a core sample position sensor), a core sample interaction system (including a dispensing system and a scoring system), and a robotic positioning system, and a control and communications system to provide for remote control of the core sample sensing system. The system further including a remote geological core inspection system to receive and communicate remote commands specifying requested operations of the robotic geological core inspection system (the control and communications system adapted to control operation of the core sample sensing system in response to the remote commands to perform the requested operations) and receive and present core data.

Abstract: A system for optimizing machine performance includes an optimization system and a data processing system. The data processing system records readings from data sources monitoring the performance of a machine and related aspects. The readings are processed at the optimization system and a machine learning model is trained to differentiate between data corresponding to an interval of optimal runtime performance and data corresponding to an interval of pre-error performance. The trained model is used to identify a subset of the various data sources that are most-predictive for a particular performance state of the machine, such as a pre-error performance state or an optimal runtime performance state. The subset of the various data sources are provided to a multivariate model for generating set-point recommendations for each of the most-predictive data sources.

Abstract: Transmission handling of analytics query response includes a search head, in a data intake and query system, receiving a query from an analytics system. The search head distributes at least a portion of the query to at least one indexer for processing the query. The at least one indexer transmits, bypassing the search head, and to the analytics system, events matching the query. The search head receives from the at least one indexer, data regarding the events, and sends the data regarding the events to the analytics system.

Abstract: Scaling of an ordered event stream (OES) based on a characteristic of one or more writer groups is disclosed. Scaling a portion of an OES contemporaneous to writing events into that portion can conserve computing resources in contrast to more conventional scaling techniques. Moreover, scaling an OES contemporaneously with writing events thereto can enable improved management of OES scaling for applications that can both read events from an input portion of an OES and, via interim events and interim portions of an OES, write events to an output portion of an OES. An application instance can therefore simultaneously act as both a reader group and writer group and can manage data via interim OESs, such that effects of passing the data through the interim OESs can be cascaded into a scaling of the output portion of an OES based on the writer group characteristic.