Abstract: A railway diagnostic system includes a plurality of field objects, a plurality of controllers associated with field objects and being structured to gather data from the field objects and to communicate the data gathered from the field objects, a diagnostic server structured to receive the data gathered from the field objects from the controller, to store the data gathered from the field objects in a database, and to provide access to the database, and a client structured to use the diagnostic server to access the database.

Abstract: The purpose of the present invention is to provide a recipe creation device, with the goal of using past recipe data in order to highly efficiently create recipes. As an embodiment with which to achieve this goal, there is provided a recipe creation device comprising an arithmetic processing device that, on the basis of design data for a semiconductor element, establishes measurement conditions or inspection conditions by a semiconductor measurement device or a semiconductor inspection device, wherein the arithmetic processing device is configured to be able to access a database in which the measurement conditions or inspection conditions, and the pattern information of the semiconductor element, are stored in associated form, and the measurement conditions or inspection conditions are selected through a search using pattern information of the semiconductor element.

Abstract: Embodiments are directed to a computer implemented method for generating a drift detector. The method includes generating, using a processor system, drift cases based at least in part on known drift set data of a computer system. The method further includes injecting, using the processor system, the drift cases into the computer system to generate a first data set. The method further includes applying, using the processor system, cleaning rules to the first data set to reduce a size of the first data set and generate a cleaned data set. The method further includes extracting one or more features of the cleaned data set. The method further includes normalizing the extracted one or more features of the cleaned data set. The method further includes training a machine learning system using the extracted and normalized one or more features of the cleaned data, wherein an output of the machine learning system comprises the drift detector.

Abstract: Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a blueprint component, a hybrid cloud composition component, and a learning component. The blueprint component determines one or more blueprint-level aspects for a blueprint associated with a cloud-based computing platform. The one or more blueprint-level aspects are indicative of encoded information for one or more features associated with one or more computing resources for the cloud-based computing platform. The hybrid cloud composition component determines a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects. The learning component monitors the cloud-based computing platform based on the one or more blueprint-level aspects to learn one or more features associated with the cloud-based computing platform.

Abstract: Integrated circuits and methods relating to hardware acceleration include independent, programmable, and parallel processing units (PU) custom-adapted to process a data stream and aggregate the results to respond to a query. In an illustrative example, a data stream from a database may be divided into data blocks and allocated to a corresponding PU. Each data block may be processed by one of the PUs to generate results according to a predetermined instruction set. A concatenate unit may merge and concatenate a result of each data block together to generate an output result for the query. In some embodiments, very large database SQL queries, for example, may be accelerated by hardware PU/concatenate engines implemented in fixed ASIC or reconfigurable FPGA hardware circuitry.

Abstract: A manufacturing process system comprises any number of assembly stations and test stations, a model unit, and any number of final products is provided. Any of a sample test method and the statistical distribution monitoring method performed by the model unit is configured to monitor the model quality after it is deployed and reduce potential unnecessary costs, such as warranty claim costs as a result of sending bad units to the customers, and rework costs as a result of predicting a good part as bad and wasting additional testing efforts on the bad parts. Further, both methods are configured to maximize the probability of detecting hazardous issues, while having control of the false alarm rate.

Abstract: A diagnostic method for analysing the operation of at least part of a production line in the tobacco industry includes feeding through the line a probe having the shape of a smokers' article and provided with an electronic card configured to acquire one or more parameters; the method includes a step of activating the probe with the possibility of temporally synchronizing the data acquired by the probe with the data acquired by the line at the same time.

Abstract: A present disclosure relates to a system for automatic design and manufacturing of 3D printing units and 3D products. The system is configured to obtain specification of a target structure corresponding to a 3D product; automatically determine a design and a printing path of a 3D printing unit based on the specification of the target structure, wherein the 3D printing unit is a micronozzle unit configured to print the target structure of the 3D product; automatically determine a manufacturing procedure to print the 3D printing unit based on the specification of the target structure; and instruct a 3D printer to print the 3D printing unit according to the manufacturing procedure and the printing path of the 3D printing unit.

Abstract: Methods and systems for controlled data extraction in a computer network, with: monitoring data from at least one program running on a node of the computer network, determination of at least one data portion from the monitored data, where the data portions are selected upon identification of at least one of: application and server events, code line execution, file access and data calls, moving of the determined at least one data portion to a data sink, analyzing of the data on the data sink to determine at least one segment for modification, and modifying the at least one segment.

Abstract: A focused ion beam (FIB) is used to mill beam spots into a substrate at a variety of ion beam column settings to form a set of training images that are used to train a convolutional neural network. After the neural network is trained, an ion beam can be adjusted by obtaining spot image which is processed with the neural network. The neural network can provide a magnitude and direction of defocus, aperture position, lens adjustments, or other ion beam or ion beam column settings. In some cases, adjustments are not made by the neural network, but serve to indicate that the ion beam and associated ion column continue to operate stably, and additional adjustment is not required.

Abstract: A cloud security system and method implements cloud activity threat detection using analysis of cloud usage user behavior. In particular, the cloud security system and method implements threat detection for users, cloud service providers, or tenants (enterprises) of the cloud security system who are new or unknown to the cloud security system and therefore lacking sufficient cloud activity data to generate an accurate behavior model for effective threat detection. In accordance with embodiments of the present invention, the cloud security system and method performs user behavior analysis to generate generalized user behavior models for user groups, where each user group includes users with similar cloud usage behavior. The user behavior models of the user groups are assigned to users with sparse cloud activity data. In this manner, the cloud security system and method of the present invention ensures effective threat detection by using accurate and reliable user behavior models.

Abstract: A method and system for capturing, organizing, storing, and analyzing manufacturing process information, with storage and performance characteristics suitable for use in resource-constrained embedded devices. Process information is organized into extensible Channels, each of which captures information stored as extensible Events, each of which may include Metric, Category Value, Annotation, and System Fields. Shared Boundaries between Channels make it easier to organize, store, interrelate, analyze, and explore information. Channel Boundary Relationships (e.g., Coupling, Fragmenting, Projecting, and Aggregating) create shared Boundaries; and can create, or be combined to create, sets of Channels that share Boundaries (referred to as a Slice Set).

Abstract: An auto-diagnosis system is provided. The auto-diagnosis system executes a volume of machine health monitoring of machine parts by an analysis of measurements of the machine parts to detect defects as early as possible. The auto-diagnosis system includes a sensor in communication with the machine parts, a processor, and memory storing software for an auto-diagnosis alarm handling of the machine parts. The software is executable by the processor to cause the auto-diagnosis system to set alarm levels for each measurement point of the machine parts based on a mean of a group of condition indicator values and a predetermined number of standard deviations above the mean, detect an alarm with respect to the measurements of the machine parts and the alarms levels, automatically adjust an alarm level corresponding to the alarm, and automatically adjust the alarm level to a new state based on the measurements respective to the alarm.

Abstract: A Self-monitoring manufacturing system adapted to produce at least one object. The system includes at least a first processing facility adapted to perform a respective first processing step with the object, and a production control unit, wherein the production data comprises nominal pre-processing object data. A production monitoring unit for checking a pre-processing object state of the object is arranged, such unit being adapted to obtain actual property data of the object in-line of the production in-advance of applying the first processing step, to generate deviation data by comparing the actual property data with the production data for the first processing step, and to provide the deviation data for performing the first production step with the first processing facility in deviation-adjusted manner.

Abstract: Disclosed herein are systems, devices, and methods related to assets and predictive models and corresponding workflows that are related to the operation of assets. In particular, examples involve assets configured to receive and locally execute predictive models, locally individualize predictive models, and/or locally execute workflows or portions thereof.

Abstract: There is provided a neural network system for detection of domain generation algorithm generated domain names, the neural network system comprising: an input receiver configured for receiving domain names from one or more input sources; a convolutional neural network unit including one or more convolutional layers, the convolutional unit configured for receiving the input text and processing the input text through the one or more convolutional layers; a recurrent neural network unit including one or more long short term memory layers, the recurrent neural network unit configured to process the output from the convolutional neural network unit to perform pattern recognition; and a classification unit including one or more classification layers, the classification unit configured to receive output data from the recurrent neural network unit to perform a determination of whether the input text or portions of the input text are DGA-generated or benign domain names.

Abstract: An integrated circuit design tool for modeling resistance of an interconnect specifies a structure of the interconnect in a data structure in memory in or accessible by the computer system using 3D coordinate system. For each of a plurality of volume elements in the specified structure, the tool specifies a location and one of first and second materials of the interconnect having specified resistivities, and for each volume element generates a model resistivity for the volume element as a function of resistivity of volume elements within a neighborhood of the volume element and a specified transition region length ?.

Abstract: According to an embodiment, a testing mechanism determines a status of circuits within a chip by analyzing fail signatures on a by-level basis to identify a high probability defect area within the chip. The testing mechanism further determines a whether functionally needed circuitry of the chip intersects with the high probability defect area within the chip and determines the status of the circuits in response to the determining of whether the functionally needed circuitry intersects with the high probability defect area.

Abstract: A system controller configured to centrally control control target devices used in surgery includes a communicating device capable of communicating with a plurality of control target devices, an extraction condition memory capable of storing extraction conditions, and a processor including hardware. The processor detects an abnormal state of connected control target devices. The processor performs recording processing for recording operation information relating to operation on the control target devices as log data into a predetermined storage apparatus. When a device abnormality detecting section detects an abnormal state, the processor extracts relevant information related to the abnormal state from log data.

Abstract: Techniques are provided for cyber warning. One technique includes a cyber warning receiver (CWR). The CWR includes a bus sensing circuit to sense traffic on a communications bus over time, an anomaly detecting circuit to detect anomalous behavior in the sensed bus traffic, a data fusing circuit to fuse the detected anomalous behavior into groups having similar characteristics, a decision making circuit to decide if the fused anomalous behavior is normal or abnormal, and a behavior logging circuit to log the detected anomalous behavior on an electronic storage device. In one embodiment, the CWR further includes a behavior alerting circuit to alert an operator to the fused anomalous behavior identified as abnormal. In one embodiment, the communications bus is an embedded communications bus, such as a MIL-STD-1553 bus, and the CWR is a standalone device configured to connect to the MIL-STD-1553 bus as a bus monitor.

Abstract: Processing raw data stored in an historian device for determining an amount of products passed through a process element in a process control environment is described. A count value is incremented by a counter at a rate at which products pass through the process element. The count value rolls over to zero when the count value reaches a rollover value R. An historian device periodically receives count value data points from the counter. A deadband value D is set in the historian device for distinguishing between rollovers, resets, and reversals. A client device queries the historian device for an amount of products passed through the process element for a timeframe. The historian device selects a set of count value data points from within the queried timeframe. The historian device determines, based on the selected data points and their quality, an amount of products passed through the process element.

Abstract: Adaptive alignment methods and systems are disclosed. An adaptive alignment system may include a scanner configured to align a wafer and an analyzer in communication with the scanner. The analyzer may be configured to: recognize at least one defined analysis area; determine whether any perturbations exist within the analysis area; and in response to at least one perturbation determined to be within the analysis area, invoke a fall back alignment strategy or report the at least one perturbation to the scanner.

Abstract: The present disclosure provides a method, devices, a numerical control machine, and a computer storage medium for detecting machine processing trajectory space. The method includes: obtaining data of a trajectory AB of a machine processing and spatial data of a specified space area; converting a function of the data of the trajectory AB into a univariate function P=f (u) with respect to a trajectory parameter u; determining a point set Ui of the trajectory AB on an inner side of each curved surface Si based on spatial data of the individual curved surfaces Si forming the specified space area and the function P=f(u); and determining a positional relationship between the trajectory AB and the specified space area based on the point sets Ui.

Abstract: A prognostic method and a prognostic apparatus for a processing apparatus are provided. In the steps of the prognostic method, multiple sensor data of a component of the processing apparatus and a heterogeneous data are obtained, multiple health indicators of the component are obtained by the multiple sensor data, a regressive characteristic function and an adjustment function are obtained according to the health indicators, the adjustment function corresponds to the heterogeneous data, a prediction function of health indicator is obtained according to the regressive characteristic function and the adjustment function, and a predictive value of health indicator is obtained according to the prediction function of health indicator to estimate a usage status of the component.

Abstract: Systems and methods for an interactive graphical user interface for depicting the status of a claim are provided. The system includes a database for storing claim data and a server in communication with the database. The stored claim data includes a claim workflow associated the claim. The workflow defines the processing steps associated with processing the claim. The server receives a user request to check the status of the claim. The server determines status data of the claim based on stored claim data and outputs the status data to a graphical user interface for depicting a graphical representation of the status data. The graphical representation includes a timeline corresponding to the workflow of the claim and a progress bar indicative of the status of the claim.

Abstract: A plant-monitoring system includes: at least three detection elements, the detection elements being at least one type of detection element for monitoring a subject being monitored; a detection network configured by disposing the at least three detection elements in a plant; a storage unit that receives detection data from each of the detection elements to record the detection data as recorded data; and a processing computing unit. The processing computing unit receives the detection data from each of the detection elements, determines presence or absence of a fault by comparing the detection data with the recorded data, and in a case where occurrence of a fault is recognized, identifies a place of occurrence of the fault based on the detection data, and transmits the result of the place of occurrence of the fault to a predetermined incident response team.

Abstract: Information from metrology tools can be used during inspection or review with a scanning electron microscope. Metrology measurements of a wafer are interpolated and/or extrapolated over a field, which creates modified metrology data. The modified metrology data is associated with defect attributes from inspection measurements of a wafer. A wafer review sampling plan is generated based on the defect attributes and the modified metrology data. The wafer review sampling plan can be used during review of a wafer using the scanning electron microscope.

Abstract: A method involves determining failure in time rate for a circuit. The method may include obtaining circuit data regarding a circuit. The circuit may include a first wire segment and a second wire segment. The method may further include obtaining reliability data. The reliability data may describe a failure of the circuit over a pre-determined time period. The method may further include obtaining a thermal map. The method may further include determining a first failure rate for the first wire segment of the circuit. The first failure rate may be a probability that the first wire segment fails in a predetermined amount of time. The method may further include determining a second failure rate for the second wire segment of the circuit. The method may further include generating a model of the circuit. The model of the circuit may describe the first and the second failure rate of the circuit.

Abstract: A system includes wireless access points operable to communicate with a communication network and electronic tracking devices that each include an electronic-ink display. The electronic tracking devices are operable to communicate wirelessly with the wireless access points. The system also includes manufacturing system operator computer systems operable to communicate with the communication network. The system further includes a server operable to execute instructions to update at least one entry in a manufacturing system database based on receiving an operation notification from one of the manufacturing system operator computer systems. The server can transmit a display update for the electronic-ink display of an identified electronic tracking device through at least one of the wireless access points based on determining that the operation notification includes a transition from a current manufacturing process step to a next manufacturing process step.

Abstract: Embodiments of the present invention specify a group of sensors detecting normal operation and a group of sensors detecting abnormal operation from time-series data on the sensors without using threshold values that are based on the experience of users. One aspect of an embodiment is a detecting device for detecting changes in the output of a plurality of sensors, in which the detecting device includes: a first output acquiring unit for acquiring a first relevance matrix; a second output acquiring unit for acquiring a second relevance matrix; a change calculating unit for calculating a change matrix representing the degree of change between the first relevance matrix and the second relevance matrix; and a specifying unit for specifying a group of sensors showing a degree of change greater than the others in the change matrix. Other aspects of the present invention include a detecting method and a program.

Abstract: A method for detecting coordinates includes detecting a first position in an inspection target placed on a placement surface of an inspection stage and a second position in the inspection target separated from the first position. A coordinate shift from the first position to the second position includes a first shift component in a first direction taken along the placement surface, and a second shift component in a second direction taken along the placement surface and crossing the first direction. The method further includes calculating a coordinate in the first direction of the second position using a first function, the first function including the first shift component and the second shift component as variables; and calculating a coordinate in the second direction of the second position using a second function, the second function including the first shift component and the second shift component as variables.

Abstract: A robot system is configured to fabricate three-dimensional (3D) objects using closed-loop, computer vision-based control. The robot system initiates fabrication based on a set of fabrication paths along which material is to be deposited. During deposition of material, the robot system captures video data and processes that data to determine the specific locations where the material is deposited. Based on these locations, the robot system adjusts future deposition locations to compensate for deviations from the fabrication paths. Additionally, because the robot system includes a 6-axis robotic arm, the robot system can deposit material at any locations, along any pathway, or across any surface. Accordingly, the robot system is capable of fabricating a 3D object with multiple non-parallel, non-horizontal, and/or non-planar layers.

Abstract: Disclosed herein are systems, devices, and methods related to assets and predictive models and corresponding workflows that are related to the operation of assets. In particular, examples involve assets configured to receive and locally execute predictive models, locally individualize predictive models, and/or locally execute workflows or portions thereof.

Abstract: A method for a probabilistic detection of defects in ribbons of material laid on a fiber composite workpiece. The method includes detecting at least one surface profile of a workpiece having laid material ribbons and locating a surface profile entry in a database. In this case, the surface profile entry provides an assignment of the surface profile to a defect type and to a hit probability that the detected surface profile is based on a defect of the defect type.

Abstract: Examples disclosed herein relate to a fault-tolerant dot product engine. The fault-tolerant dot product engine has a crossbar array having a number l of row lines and a number n of column lines intersecting the row lines to form l×n memory locations, with each memory location having a programmable memristive element and defining a matrix value. A number l of digital-to-analog converters are coupled to the row lines of the crossbar array to receive an input signal and a number n of analog-to-digital converters are coupled to the column lines of the crossbar array to generate an output signal. The output signal is a dot product of the input signal and the matrix values in the crossbar array, wherein a number m<n of the n column lines in the crossbar array are programmed with matrix values used to detect errors in the output signal.

Abstract: Systems and methods for improving the uniformity of a tire based on estimated process harmonic magnitudes for one or more process effects are provided. Magnitudes of process harmonics associated with one or more candidate process effects can be determined from the observed magnitudes of one or more harmonics of measured uniformity parameters. The estimated process harmonic magnitude(s) can be determined without requiring phase angle or azimuth information associated with the observed magnitudes. The estimated process harmonic magnitude(s) can be determined by identifying a process harmonic magnitude pattern for identified candidate process effects. A model can be constructed correlating the candidate magnitudes specified by the process harmonic magnitude pattern with observed magnitudes of corresponding harmonics of a measured uniformity waveform. Regression or programming techniques can be used to estimate coefficients associated with candidate magnitude terms in the model.

Abstract: The present invention provides a breathing assistance apparatus that has a convenient and effective method of cleaning internal conduits inside the apparatus. The breathing assistance apparatus is preferably a gases supply and humidification device. The cleaning method is a method of disinfection that is automated so minimal training is required to disinfect in particular an internal elbow conduit within the device. It is therefore not necessary to dismantle the gases supply and humidification device, therefore, inadvertent damage to the internal parts of the device is avoided. The present invention also provides a method of disinfecting a heated breathing conduit and a patient interface.

Abstract: A measured value analysis apparatus includes a controller and a memory, in which the controller: selects one examination object item, which is an examination object, and a plurality of related items which are directly or indirectly related to the examination object item; creates a correlation model between measured values from past measured values of the examination object item and the plurality of related items; and calculates a predicted value of the examination object item by applying the measured values of the related items to the correlation model and calculates divergence between an actual measured value of the examination object item and the predicted value.

Abstract: An image processing apparatus includes: a display; a memory that stores multiple key frames of a video guide on how to recover from an operating error; an error sensor that detects the operating error; and a display processor that allows the display to display at least one of the multiple key frames as a still frame for a digest along with an operation button for video playback, when the error sensor detects the operating error, the multiple key frames being stored on the memory, and that further allows the display to play back the video guide by serially displaying the multiple key frames, when the operation button is pressed.

Abstract: A printing apparatus includes: a conveyor which conveys a print medium along a conveyance path; a print head which execute printing at a first position on the conveyance path; a cutter which cuts the print medium at least partially at a second position on the downstream side from the first position in the conveyance path; and a processor. The processor acquires a specified length along the conveyance path, acquires a first margin length along a conveyance direction in a first margin part, acquires a separation distance along the conveyance path between the first position and a third position which includes the second position and which is located on the conveyance path and between the first position to the second position, and determines whether the separation distance is equal to or longer than a first total length which is the total of the specified length and the first margin length.

Abstract: There is described herein an inspection tool for use during the inspection of components as manufactured. The inspection tool allows the comparison of measurement data with nominal data and provides complementary information with regards to at least one feature of the component.

Abstract: A method is provided, the method including: repeatedly acquiring a state of one or more devices included in the semiconductor manufacturing apparatus; providing a first animation indicating an operation of the semiconductor manufacturing apparatus by displaying at least an image indicating the state of one or more devices on a display unit each time the state is acquired; storing, in a memory, the acquired state of one or more devices and a time related to the state; receiving an input for switching a display mode; and providing a second animation of the semiconductor manufacturing apparatus by displaying, one by one on the display unit, at least one or more images respectively indicating the state of one or more devices related to one or more times including a reference time stored in the memory, after receiving the input for switching a display mode.

Abstract: Methods and systems for performing root cause analysis for an assembly line including a plurality of nodes using path tracking. One method includes receiving tracking data identifying a subset of the plurality of nodes processing a product produced by the assembly line and receiving approval data associated with the assembly line identifying whether each product produced by the assembly line fails an approval metric. The method also includes enumerating a plurality of paths through the assembly line based on the tracking data and determining a failure rate for each of the plurality of paths based on the approval data. In addition, the method includes identifying a malfunctioning path included in the plurality of paths based on the failure rate for each of the plurality of paths, identifying a malfunctioning node based on the malfunctioning path, and performing an automatic action to address the malfunctioning node.

Abstract: The present invention relates to methods and systems for designing gauge patterns that are extremely sensitive to parameter variation, and thus robust against random and repetitive measurement errors in calibration of a lithographic process utilized to image a target design having a plurality of features. The method may include identifying most sensitive line width/pitch combination with optimal assist feature placement which leads to most sensitive CD (or other lithography response parameter) changes against lithography process parameter variations, such as wavefront aberration parameter variation. The method may also include designing gauges which have more than one test patterns, such that a combined response of the gauge can be tailored to generate a certain response to wavefront-related or other lithographic process parameters. The sensitivity against parameter variation leads to robust performance against random measurement error and/or any other measurement error.

Abstract: An operation management system according to the present invention stores manufacture facility information in which identification information capable of uniquely specifying a manufacture facility is associated with position information of the manufacture facility in a manufacture facility information storage unit, a management device acquires the manufacture facility information from the manufacture facility information storage unit, arranges the manufacture facility on an arrangement map based on the manufacture facility information, and conducts communication setting for acquiring operation information, and the management device acquires the operation information of the manufacture facility via communication based on the communication setting, and displays the acquired operation information on the arrangement map.

Abstract: Apparatuses, systems and methods provide at least a controller for a print server which executes at least one additive manufacturing print process on an additive manufacturing printer. The disclosed embodiments may include a plurality of sensors capable of monitoring at least one of a build perimeter, a build height, and a build volume for an additive print build resultant from the additive manufacturing print; at least one processor associated with the print server and capable of receiving sensor data regarding the monitoring from the plurality of sensors, and comprising non-transitory computing code for applying to the sensor data a print process plan indicative of the additive print build; a comparator embedded in the non-transitory computing code for assessing a lack of compliance by the additive print build to the print process plan; and at least one modified output of the additive manufacturing print suitable to revise the compliance of the additive print build to the print process plan.

Abstract: A plant-monitoring system includes: at least three detection elements, the detection elements being at least one type of detection element for monitoring a subject being monitored; a detection network configured by disposing the at least three detection elements in a plant; a storage unit that receives detection data from each of the detection elements to record the detection data as recorded data; and a processing computing unit. The processing computing unit receives the detection data from each of the detection elements, determines presence or absence of a fault by comparing the detection data with the recorded data, and in a case where occurrence of a fault is recognized, identifies a place of occurrence of the fault based on the detection data, and transmits the result of the place of occurrence of the fault to a predetermined incident response team.

Abstract: Additive Manufacturing Quality Management (AMQM) systems and methods are provided, which enhance quality control across Additive Manufacturing (AM) supply chains from which AM components are obtained. In various embodiments, the AMQM system includes an AM machine utilized to produce AM components in accordance with AM design data. A first sensor is coupled to the AM machine and, during fabrication of AM components by the AM machine, captures sensor readings pertaining to the AM fabrication process. When executed by a processor, computer-executable code causes the AMQM system to: (i) compile part-specific sensor profiles from sensor readings captured by the first sensor during fabrication of the AM components, and (ii) generate user notifications indicating whether remedial action should be performed for any of the AM components based, at least in part, on conformance of the part-specific sensor profiles with a baseline sensor profile corresponding to the AM design data.

Abstract: Systems and methods are provided for verifying the placement of tows by a robot. One embodiment includes a robot that includes an end effector that lays up tows, actuators that reposition the end effector, a memory storing a Numerical Control (NC) program, and a robot controller that directs the actuators to reposition the end effector based on the NC program, and instructs the end effector to lay up tows based on the NC program. The system also includes a sensor system comprising an imaging device that acquires images of the tows as the tows are laid-up, a measuring device that generates input as tows are laid-up by the end effector, and a sensor controller that receives images from the imaging device and the input from the measuring device, and updates stored data to correlate the images with instructions in the NC program, based on the input.

Abstract: A framework is provided for modeling the activity surrounding user credentials and/or machine level activity on a computer network using computer event logs by viewing the logs attributed to each user as a multivariate data stream. The methodology performs well in detecting compromised user credentials at a very low false positive rate. Such a methodology may detect both users of compromised credentials by external actors and otherwise authorized users who have begun engaging in malicious activity.