Abstract: Systems and methods of the present invention provide for: storing a plurality of content plugins; generating a graphical user interface (GUI) including components for: selecting a subset of plugins, defining a relationship between the plugins in the subset, and defining a custom pathway through the subset, including rules or conditions for navigation; receiving, from the content creator client device, selection of the subset, the relationship, and the rule or condition; generating, from the subset, relationship, and rule or condition; and transmitting to client devices for display, a learning course content for a learning application.

Abstract: A method comprising: providing a three dimensional computer generated environment for a multi-player combat video game; providing a controllable character for each player of the multi-player combat video game to control in the three dimensional computer generated environment; selecting one of a plurality of stored pieces of music, wherein each stored piece of music has pre-determined timing data representative of a time of one or more changes in at least one characteristic of the stored piece of music; providing said selected piece of music to each player of the multi-player game as the players play the multi-player combat video game; modifying one or more aspects of the multi-player combat video game in response to the one or more changes in at least one characteristic of the provided piece of music, wherein the one or more aspects of the multi-player combat video game comprises at least one of: a) a scoring system; b) one or more properties or elements of the virtual environment thereby to change an accessi

Abstract: An offline programming device includes an input unit that receives input of a plurality of teaching points, a creation unit that determines intermediate point located between adjacent teaching points and creates an operation program for the robot, a simulation unit that simulates a movement trajectory of the robot when the operation program is executed, and a display unit that displays a GUI screen representing the movement trajectory. The GUI screen includes a first display area showing a time series sequence of the plurality of teaching points and a second display area. When an error is detected in the movement trajectory, a section between the teaching points including the point in time when the error occurs is displayed in the first display area according to a first error display method.

Abstract: Methods, apparatus, and processor-readable storage media for coordinating storage system events are provided herein. An example method includes generating a representation of a set of components associated with a storage system comprising information corresponding to at least one data mirror in the set and at least one path associated with the set; obtaining a request from a given component in the set to perform an action that affects one or more of: at least one data mirror and at least one path; determining, based at least in part on the generated representation, whether the action will reduce a redundancy of the storage system to below a threshold level of redundancy specified for the storage system; and providing, to the given component, a response based at least in part on a result of the determining, wherein a performance of the action is controlled based at least in part on the response.

Abstract: A method of supporting VM migration between a first WTRU and a second WTRU via a 5GLAN is disclosed. The first WTRU is a host of a VM and the second WTRU connects to the 5GLAN. The method comprises that the second WTRU receives the VM migrated from the first WTRU, wherein a tenant system interface (TSI) ID is associated with the VM; sends a PDU session request message to a session management function (SMF) of the 5GLAN, the PDU session request message comprising the TSI ID; and sends a PDU session response message from the SMF so as to establish a PDU session between the second WTRU and the 5GLAN.

Abstract: A learning dataset generation device includes: a memory that stores three-dimensional CAD data of a workpiece and a container; and one or more processors including hardware, wherein the one or more processors are configured to use the three-dimensional CAD data of the workpiece and the container, stored in the memory, to generate, in a three-dimensional virtual space, a plurality of imaging objects in which a plurality of the workpieces are bulk-loaded in different forms inside the container, acquire a plurality of virtual distance images by measuring each of the generated imaging objects by means of a virtual three-dimensional measurement machine disposed in the three-dimensional virtual space, accept at least one teaching position for each of the acquired virtual distance images, and generate a learning dataset by associating the accepted teaching position with each of the virtual distance images.

Abstract: Various implementations disclosed herein include devices, systems, and methods for displaying a visual indication of audibility of an audible signal. In various implementations, a device includes a display, an audio sensor, a processor and a non-transitory memory. In various implementations, a method includes receiving, via the audio sensor, an audible signal and converting the audible signal to electronic signal data. In various implementations, the method includes obtaining environmental data that indicates audio response characteristics of a physical environment in which the device is located. In various implementations, the method includes displaying, on the display, an indicator that indicates a distance from a source of the audible signal at which the audible signal is audible. In some implementations, the distance is based on an amplitude associated with the electronic signal data and the audio response characteristics of the physical environment.

Abstract: Processes and systems for adaptive pedestrian inertial navigation are provided. Configurations can adjust to various navigation scenarios, including different floor types and different gait paces. A combination of IMU data partition, principal component analysis (PCA), and artificial neural network may be used to perform the floor type detection. Floor type results may be used in the multiple-model extended Kalman filter. In each extended Kalman filter, an adaptive threshold is used for the stance phase detection to enable the detector to adjust to gait frequency without tuning design parameters during navigation. A floor type classification of high accuracy is demonstrated, and the position error in a velocity-changing navigation system using adaptive threshold is reduced.

Abstract: The system includes circuitry to send and/or receive data, a processor to process data, memory for storing data to operate a traffic control algorithm. The system is configured to transmit processed data to traffic control devices. The traffic control algorithm includes at least one step of calculating and estimating total probabilities of future traffic locations and time periods, and selecting an action for the traffic control devices to perform during those time periods.

Abstract: Disclosed are systems and methods to detect and identify vehicular anomalies. Techniques to detect and identify the vehicular anomalies include receiving signals from various sensors, grouping the signals into detection sets, detecting anomalies by a comparison to vehicle behavior models, and cross-referencing the detection sets with each other to narrow down and identify the source of the anomaly. The detection sets may be grouped such that facets of vehicle maneuverability are captured and cover causal relations between different maneuverability mechanisms.

Abstract: An optimization apparatus finds the ground state of an Ising model that represents a target problem by running a simulation of state changes of the Ising model that occur upon reduction in a magnetic field applied to the Ising model. In doing so, the optimization apparatus adds a value corresponding to noise to some of coefficients used in the simulation. Then, the optimization apparatus performs a first process of real time propagation of reducing strength of the magnetic field as time in the simulation progresses and a second process of reducing energy of the Ising model based on an imaginary time propagation method.

Abstract: Methods, systems and apparatus for determining properties of a physical system described by an electronic structure Hamiltonian. In one aspect, a Hamiltonian describing the physical system is transformed into a qubit Hamiltonian describing a corresponding system of qubits. The qubit Hamiltonian comprises multiple two-qubit interaction terms, each comprising a respective translation invariant coefficient. The system of qubits is evolved under a unitary operator generated by the multiple two-qubit interaction terms. The evolution includes applying layers of quantum logic gates to the system of qubits, wherein each application of a layer evolves the system of qubits under a unitary operator generated by a respective subset of the multiple two-qubit interaction terms and wherein the value of the coefficients of the subset of the multiple two-qubit interaction terms that generate the unitary operator is constant. The evolved system of qubits is measured and properties of the physical system is determined.

Abstract: The invention relates to an optimal allocation method for stored energy coordinating electric vehicles (EVs) to participate in auxiliary service market (ASM), including the following steps: 1. Predict the reported capacity of daily 96 points for EVs to participate in the ASM by least square support vector machine (LSSVM). 2. Fit the daily total load distribution of EVs. 3. Determine the error distribution between the reported capacity and the actual response capacity, and simulate the total daily load capacity of EVs in the future with Monte Carlo method. 4. Calculate the energy storage capacity required by EVs daily participating in ASM. 5. Build the objective function to minimize the scheduling risk of auxiliary service. 6. Solve the energy storage model in step 5 with particle swarm optimization (PSO), and output the configuration results of optimal energy storage capacity and energy storage power. The invention can improve the adjustable capacity of EVs participating in ASM.

Abstract: Human-in-the-loop robot training using artificial intelligence (AI) for robotic process automation (RPA) is disclosed. This may be accomplished by a listener robot watching interactions of a user or another robot with a computing system. Based on the interactions by the user or robot with the computing system, the robot may be improved and/or personalized for the user or a group of users.

Abstract: The rotation center is calculated (step S11). A gripping pattern is determined (step S12). The rotation axis is set to X-axis (step S13) of a tool coordinate system in response to the gripping pattern being a fan-shaped pattern, to Y-axis (step S14) in response to being a cylinder pattern, and to Z-axis (step S15) in response to being a circle pattern. A start angle ?_start is set as a rotation angle ? (step S16). The pose of a tool is calculated (step S17). The current pose is registered (step S18). The angle ? is changed by a predetermined angle of ?? (step S19). Steps S17 to S19 are repeated until the angle ? reaches an end angle ?_end (step S20).

Abstract: Multiple listlets function as a single master linked list to manage data packets across one or more banks of memory in a first-in first-out (FIFO) order, while allowing multiple push and/or pop functions to be performed per cycle. Each listlet can be a linked list that tracks pointers and is stored in a different memory bank. The nodes can include a pointer to a data packet, a pointer to the next node in the listlet and a next listlet identifier that identifies the listlet that contains the next node in the master linked list. The head and tail of each listlet, as well as an identifier each to track the head and tail of the master linked list, can be maintained in cache. The individual listlets are updated accordingly to maintain order of the master linked list as pointers are pushed and popped from the master linked list.

Abstract: An integrated platform is provided that enables the various steps of development operations from design to sales, the virtualization, the visualization and the interpretation of a device so it may be fully created (designed), viewed, manipulated, packaged, simulated, tested, published and marketed right from within the platform. The resulting virtual device (VD) may be a multi-layered, -dimensional, -angular, -disciplinary, -documentarian, -service, manipulated and used in multiple ways. The provided VD may include visual representations of the VD via a traditional display device in a non-immersive environment and/or within an immersive environment via new virtual-reality (VR) devices. For instance, a user may create, manipulate, in real-time, layered multi-dimensional views of a VD in a virtual-reality, augmented-reality (AR), augmented virtual-reality (AVR), and/or mixed-reality (MR) environments.

Abstract: A method for providing automated customer feedback monitoring in real-time to facilitate identification and resolution of errors is disclosed. The method includes ingesting, via an application programming interface, data from a source, the data including feedback information from a customer; persisting the data in a file format, the file format including a tabular file format; filtering the persisted data based on a rating and a keyword; identifying a category for the filtered data based on a characteristic of the filtered data; determining whether a log file corresponds to the filtered data based on the identified category, the log file including an error log file that corresponds to an issue, and when the log file corresponds to the filtered data; correlating the filtered data with the determined log file; and determining a priority level for the issue by using the correlated data and the log file.

Abstract: The present disclosure provides an oscillation suppression method for a low-carbon power system based on energy storage power stations. Firstly, constructing a power system oscillation suppression model; secondly, constructing a correlation table of the oscillation modes vs the energy storage stations and a correlation table among the damping controller parameters, a delay margin and a damping ratio; thirdly, based on a real time power system oscillation mode, searching for a matching oscillation mode and a oscillation control strategy from the oscillatory control strategy knowledge base that based on the energy storage power stations, and suppressing the power system oscillations based on the oscillation control strategy. Thus providing an effective method to the stable control of the power system, and solving a problem of power system oscillation suppression, which seriously affects the stable operation of the power system, in the coordinated scheduling of source network load storage.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing adaptive geofence alerts are disclosed. In one aspect, a method includes the actions of receiving, by a server, data inputted into a first computing device of a first user. The actions further include, determining, by the server, a future location of a second user and a future time when the second user will likely be at the future location. The actions further include determining, by the server, a second computing device of the second user. The actions further include providing, for output to the second computing device, instructions to provide, to the server, location information of the second computing device based on a location of the second computing device being at least a threshold distance from the future location at the future time.

Abstract: The disclosed systems, structures, and methods are directed to risk assessment of an optical network. A simulation framework includes a risk map engine including a performance prediction engine that generates a simulation of the optical network based at least in part on an input network topology and/or service map. The prediction performance engine runs the simulation to predict, based at least in part on received network telemetry data, direct and indirect impacts on the optical network of a risk factor represented in a what-if scenario. The risk map engine includes a risk assessment engine that determines a risk associated with the risk factor based at least in part on the predicted direct and indirect impacts and on a likelihood of occurrence of the risk factor. The risk assessment engine generates a risk map showing aggregate risks to the optical network from a plurality of risk factors.

Abstract: Systems and methods of the present invention provide for: storing a plurality of content plugins; generating a graphical user interface (GUI) including components for: selecting a subset of plugins, defining a relationship between the plugins in the subset, and defining a custom pathway through the subset, including rules or conditions for navigation; receiving, from the content creator client device, selection of the subset, the relationship, and the rule or condition; generating, from the subset, relationship, and rule or condition; and transmitting to client devices for display, a learning course content for a learning application.

Abstract: This invention provides a method for finding the remnant thickness of a structure. A feature of guided waves known as the cut-off property is used to determine the remnant thickness of structures. Fundamental guided wave modes do not possess cut-off property, but higher order modes do. The cut-off thickness of a particular mode is the minimum thickness required for that mode to travel through the guided medium. The invention uses a wide-bands of frequency and wavelength to generate the modes using appropriate magnets and excitation signal shape to provide a low cost and rapid evaluation of remnant thickness of structure.

Abstract: A method includes: obtaining a service intent, where the service intent is used to indicate to perform a first network operation on the target network; obtaining a mirror simulation network corresponding to the target network; determining verification content, where the verification content is used to perform simulation verification on a running state of the mirror simulation network; performing the first network operation on the mirror simulation network based on the service intent; and performing, after the first network operation is performed on the mirror simulation network, simulation verification on the mirror simulation network based on the verification content, to obtain a first verification result, where the first verification result is used to evaluate impact of the first network operation on the target network.

Abstract: A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.).

Abstract: A method and method for testing an application includes performing a static analysis of metadata of coding of an application, using a test application program executed by a processor on a computer. Available user interface states are simulated based on the static analysis. A configuration file of the application is accessed and parsed to enumerate states possible for the application. A coverage metric is calculated for the application based on a number of states reached by the simulating and a number of states possible.

Abstract: Described herein is a capacity system that predicts capacity needs of a system. The capacity system captures outputs from meters coupled to subsystems within the system, where the outputs are not expressed in standard power units. For each subsystem, the capacity system determines values for a set of conversion factors related to the subsystem. The conversion factors describe the design and operation of the subsystem. The capacity system converts the outputs to standard power units based on the set of conversion factors and simulates behavior of the subsystems based on trends shown by the converted outputs. The capacity system forecasts an expected capacity of the system over a time period and uses the forecast to predict a date during the time period when the subsystem will experience a reduction in capacity.

Abstract: Techniques are described for managing communications between multiple intercommunicating computing nodes, such as multiple virtual machine nodes hosted on one or more physical computing machines or systems. In some situations, users may specify groups of computing nodes and optionally associated access policies for use in the managing of the communications for those groups, such as by specifying which source nodes are allowed to transmit data to particular destinations nodes. In addition, determinations of whether initiated data transmissions from source nodes to destination nodes are authorized may be dynamically negotiated for and recorded for later use in automatically authorizing future such data transmissions without negotiation. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Embodiments of the present application provide a prediction method, device and system for rock mass instability stages, and belong to the technical field of rock mass instability prediction. The method includes the steps: acquiring acoustic emission signals of rock mass; extracting feature parameters from the acquired acoustic emission signals; and predicting instability stages of the rock mass in accordance with the feature parameters and a preset back propagation (BP) neural network model, wherein the preset BP neural network model is obtained by training a BP neural network and a genetic algorithm by virtue of the feature parameters of the acoustic emission signals at different rock mass instability stages. According to the technical solution in the present application, the problem in the training process of the BP neural network model that model parameter optimization may be easily trapped in a locally optimal solution is effectively solved.

Abstract: Embodiments are provided for compilation of a quantum program. In some embodiments, a system can include a processor that executes computer-executable components stored in memory. The computer-executable components can include an identification component that selects a subgraph that is common among a first commutation directed acyclic graph (DAG) and a second commutation DAG. The subgraph has an upper-bound size that is greater than a threshold size. The first commutation DAG represents a first quantum circuit of a set of quantum circuits and the second commutation DAG represents a second quantum circuit of the set of quantum circuits. The computer-executable components also include a compilation component that compiles a quantum subcircuit corresponding to the subgraph. The computer-executable components further include a configuration component that replaces the quantum subcircuit in the first quantum circuit with the compiled quantum subcircuit.

Abstract: The present disclosure provides systems and methods that generate query templates that are expressed in a generic schema-agnostic language. The query templates can be generated “from scratch” or can be automatically generated from existing queries, a process which may be referred to as “templatizing” the existing queries. As one example, generation of query templates can be performed through an iterative process that iteratively generates candidate templates over time to optimize a coverage over a set of existing queries. After generation of the schema-agnostic query templates, the systems and methods described herein can automatically translate/map the templatized queries into “concrete,” schema-specific queries that can be evaluated over specific customer schemas/datasets. In this manner, a query template for a given semantic query (e.g., “return the names of all employees”), is required to be written only once.

Abstract: Thermal conditions can be simulated for an electronic device. Application developers may want to test how applications perform under various thermal conditions on a device that includes thermal management. The application developers can use the tests to determine whether the application should take proactive measures to maintain application performance, and which proactive measures should be taken. For example, an application can reduce its use of resources to ensure that an application maintains a desired quality of user experience (and at a minimum remains responsive) under adverse thermal conditions. Creating adverse conditions can be difficult to replicate, costly to implement, and can potential cause damage to the electronic device being tested. In some examples, simulating thermal conditions can be used instead of placing the device in real-world adverse conditions to improve the testing process for developers.

Abstract: A computer-implemented method for deriving resistance, inductance, and capacitance (RLC) values of an RLC equivalent circuit model associated with a fireset.

Abstract: A validity verification method may include receiving an event to be analyzed from a security information & event management (SIEM) server, the event to be analyzed selected by the SIEM server from a plurality of events detected by different security devices based on a desired correlation rule; registering the event to be analyzed; collecting raw data associated with the registered event from a security device corresponding to the registered event among the different security devices; acquiring location information of an intended network location associated with an attack based on the collected raw data; determining a validity status of the registered event based on the acquired location information; generating an exceptional processing message of the registered event; and transmitting the generated exceptional processing message to the SIEM server based on results of the determining the validity status of the registered event.

Abstract: A development system and a method of an offline software-in-the-loop simulation are disclosed. A common firmware architecture generates a chip control program. The common firmware architecture has an application layer and a hardware abstraction layer. The application layer has a configuration header file and a product program. A processing program required by a peripheral module is added to the hardware abstraction layer during compiling. The chip control program is provided to a controller chip or a circuit simulation software to be executed to control the product-related circuit through controlling the peripheral module.

Abstract: A simulated process is initiated. The simulated process includes generating, by an emulator, a control signal based on external inputs. The simulated process further includes processing, by a simulator, the control signal to generate simulated response data. The simulated process further includes generating, by a deep learning processor, expected behavioral pattern data based on the simulated response data. An actual process is initiated by initializing setpoints for a process station in a manufacturing system. The actual process includes generating, by the deep learning processor, actual behavioral pattern data based on actual process data from the at least one process station. The deep learning processor compares the expected behavioral pattern to the actual behavioral pattern. Based on the comparing, the deep learning processor determines that anomalous activity is present in the manufacturing system. Based on the anomalous activity being present, the deep learning processor initiates an alert protocol.

Abstract: System and method for producing a sensor for a processing machine/plant, wherein a digital twin sensor is provided that is related to the sensor, wherein the digital twin sensor is stored in a database (10), wherein the digital twin sensor forms a data model of the sensor, wherein the data model comprises at least one data building block with data for a sensor housing, for an electronic system, for a control and evaluation unit, for a primary sensor element and/or for mechanical components of the sensor, wherein the digital twin sensor is loaded into a construction program for the processing machine/plant, wherein the digital twin sensor is configured in the construction program, wherein the digital twin sensor is adapted to the processing machine/plant and the adapted digital twin sensor is produced as a real adapted sensor.

Abstract: In some embodiments, techniques for creating fabricable segmented designs for physical devices are provided. A proposed segmented design is determined based on a design specification. The proposed segmented design includes a plurality of segments that each includes an indication of a material for the segment. The proposed segmented design also includes lattice members and lattice voids. A size of the lattice members and a size of the lattice voids are greater than a size of the segments and are greater than or equal to at least one of a minimum feature width and a minimum feature spacing of a fabrication system Performance of the proposed segmented design is simulated. One or more lattice members and lattice voids are chosen to change to improve the performance of the proposed segmented design.

Abstract: A computer-implemented method for simulating a magnetic field within an electromagnetic device for use in evaluating the electromagnetic device. The method comprises: obtaining a digital design of the electromagnetic device, the digital design comprising geometric data representing a geometry of the electromagnetic device and material data representing material properties of the electromagnetic device; obtaining magnetic field data representing a magnetic field pattern that would be generated through operation of the digital design of the electromagnetic device; and converting the magnetic field data into virtual current data, wherein the virtual current data represents the magnetic field pattern as one or more virtual currents that would create an estimated magnetic field pattern that substantially matches the magnetic field pattern.

Abstract: A machine learning device includes: a training data acquisition unit configured to acquire multiple pieces of training data each including insulation resistances of a servomotor at the beginning and the end of a certain period and time-series data indicating conditions of the servomotor in the certain period; and a learning model generating unit configured to perform a supervised learning using the training data to thereby generate a learning model.

Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. The methods can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC); performing a thermal simulation for each respective template of the IC based on a sequence of power patterns of tiles of the respective template; and training a neural network with a plurality of training data collected via thermal simulations performed for the templates of the IC. These systems and methods can use a machine learning predictor, that has been trained to determine a transient temperature rise across an entire IC, and then append the determined transient temperature rise to a system level thermal profile of the IC.

Abstract: Some embodiments are directed to a logging within a software application executed over an assembly of information processing devices. More particularly, some embodiments relate to a method allowing process logging in the case of a software application operating with several processes and/or threads.

Abstract: A wireless electromagnetic coupler arrangement for reactive near field coupling comprising a sequential array of coupling elements which are geometrically arranged one- or two-dimensionally. By means of feeding an unmodulated wave of electromagnetic energy to each of the coupling elements and a respective associated harvester element, in an initial sensing state, an automatic selection of a single coupling element or plural coupling elements which establish a particularly strong and efficient interaction with an inlay is performed. By means of a respective feedback loop, a switchable array of resistances is used to activate the selected coupling element(s) for coupling of information to/from the loop and to de-activate the remaining coupling elements.

Abstract: Described herein are technologies pertaining to a computer-implemented system that is configured to present information to a technician who is servicing an air conditioning unit. The technologies described herein facilitate computation of a value that is indicative of operating efficiency of an air conditioning unit in its current environment and with current operating conditions.

Abstract: The present disclosure provides a detailed description of techniques used in systems, methods, and in computer program products for dynamic aggregate generation and updating for high performance querying of large datasets. Certain embodiments are directed to technological solutions for determining at least one aggregate of selected virtual cube attributes (e.g., measures, dimensions, etc.) describing a virtual multidimensional data model of a subject database, and generating an aggregate table and a set of aggregate metadata for the aggregate. In some embodiments, an aggregate database statement configured to operate on the subject database can be issued to generate the aggregate table and/or aggregate metadata. Further, the aggregate can be dynamically determined responsive to receiving a database statement configured to operate on the virtual multidimensional data model representing the subject database.

Abstract: Methods, systems, and computer readable media for network traffic generation using machine learning. An example method includes collecting first traffic from a production data center environment. At least a portion of the first traffic comprises live computer network traffic transiting the production data center environment. The method includes collecting second traffic from an emulated data center testbed device. At least a portion of the second traffic comprises testbed traffic that transits an emulated data center switching fabric of the emulated data center testbed device. The method includes training a traffic generation inference engine using the first traffic and the second traffic. The method includes generating, using the traffic generation inference engine, test traffic to test or stimulate a network system under test (SUT).

Abstract: A method for detecting an injection vulnerability of a client-side templating system includes receiving a web page, determining that the web page implements an interpreted programming language framework with client-side templating, and extracting a version of the interpreted programming language framework and an interpolation sign from the web page. The method also includes generating an attack payload for at least one injection vulnerability context of the web page based on the version of the interpreted programming language framework and the interpolation sign, instrumenting the web page to inject the attack payload into the at least one injection vulnerability context of the web page, and executing the instrumented web page.

Abstract: Methods, systems, and computer programs are presented for determining the recipe for manufacturing a semiconductor with the use of machine learning (ML) to accelerate the definition of recipes. One general aspect includes a method that includes an operation for performing experiments for processing a component, each experiment controlled by a recipe, from a set of recipes, that identifies parameters for manufacturing equipment. The method further includes an operation for performing virtual simulations for processing the component, each simulation controlled by one recipe from the set of recipes. An ML model is obtained by training an ML algorithm using experiment results and virtual results from the virtual simulations. The method further includes operations for receiving specifications for a desired processing of the component, and creating, by the ML model, a new recipe for processing the component based on the specifications.

Abstract: A simulation management service receives a request to perform reinforcement learning for a robotic device. The request can include computer-executable code defining a reinforcement function for training a reinforcement learning model for the robotic device. In response to the request, the simulation management service generates a simulation environment and injects the computer-executable code into a simulation application for the robotic device. Using the simulation application and the computer-executable code, the simulation management service performs the reinforcement learning within the simulation environment.

Abstract: A computer system provides online state estimation (SE) and topology identification (TI) using advanced metering infrastructure (AMI) measurements in a distribution network. The computer system obtains input data including the AMI measurements, a network configuration, and line parameters; solves an SE and TI problem formulated from the input data and power equations of the distribution network; and periodically updates states and topology of the distribution network during power system operation. To solve the SE and TI problem, the computer system constructs a mixed-integer convex approximation programming (MICP) model to obtain an initial topology; generates neighboring spanning trees according to the MICP model and the initial topology; evaluates performance of each neighboring spanning tree with a matching index that is an indication of power flow performance; and chooses a tree topology of a neighboring spanning tree having a minimum matching index as a final network topology of the distribution network.