Abstract: The present application provides a method for testing a memory, including the steps of: providing a database, the database including a deviation value between a data strobe signal and a clock signal and a corresponding relationship between the deviation value and a memory parameter; searching the database for a deviation value corresponding to a preset memory parameter when a read command is applied to the memory under the preset memory parameter; acquiring a time value at which an output signal is to be captured according to the deviation value; and capturing the output signal at the time value to perform the testing for the memory.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a communication interface, a memory, and a processor. The processor according to the disclosure is configured to acquire weather information and information on a space where an air conditioner is installed, train a neural network model based on the weather information and the information on the space, based on acquiring driving information of the air conditioner and a measured temperature of the space through the communication interface, input the measured temperature of the space and the external temperature into the neural network model and acquire predicted temperature information per time for the space, determine whether a defect exists in the air conditioner based on the predicted temperature information and the measured temperature of the space, and based on determining that a defect exists in the air conditioner, generate a notification signal.

Abstract: In a meter for performing a measurement of an electrical parameter, an output from a sensor is sampled to produce at least one sample, and an iterative method is performed comprising: producing further samples; holding in memory a stored array of samples comprising the at least one sample and each of the further samples from each iteration; determining a measure of statistical variability of a mean for the respective iteration from a measure of statistical variability and from the number of samples used to generate the measure of statistical variability; comparing the measure of statistical variability of the mean with a pre-determined threshold; and generating an electrical signal indicating a state of the measurement if the measure of statistical variability of the mean of the samples taken during the measurement is less than or equal to the pre-determined threshold.

Abstract: A hot spot defect detecting method and a hot spot defect detecting system are provided. In the method, hot spots are extracted from a design of a semiconductor product to define a hot spot map comprising hot spot groups, wherein local patterns in a same context of the design yielding a same image content are defined as a same hot spot group. During runtime, defect images obtained by an inspection tool performing hot scans on a wafer manufactured with the design are acquired and the hot spot map is aligned to each defect image to locate the hot spot groups. The hot spot defects in each defect image are detected by dynamically mapping the hot spot groups located in each defect image to a plurality of threshold regions and respectively performing automatic thresholding on pixel values of the hot spots of each hot spot group in the corresponding threshold region.

Abstract: Providing user-controllable visualization of an impact of each of a set of dimensions for a set of data from which at least one outlier value is detected includes computing an outlier boundary for a dimension data value via statistical analysis for data organized as assisted analytics time frame data sets. Further a dimension data value outlier factor may be produced for a detected outlier based on a weighting associated with an assisted analytics time frame that corresponds to the outlier. Dimension outlier factors may be derived therefrom and mapped to a corresponding dimension impact rating value for the user-controllable visualization.

Abstract: A method is disclosed. The method includes measuring at least one electrical parameter (R, L, C) of at least one wire (10) in a motor vehicle (100) at a certain time instance (ti) to obtain measurement data (M(ti)); comparing the measurement data (M(ti)) with comparative data (C(ti)) held in a data storage (5); and taking a predefined action (63) dependent on the comparing.

Abstract: Methods for non-destructive inspection of parts for obtaining the properties and characteristics of the material of a part are disclosed. According to one embodiment, a method for non-destructive inspection of parts includes a step of creating a mathematical model describing the dynamic behavior of a part to be inspected, a step of exciting the part, and a step of measuring the vibratory response of the part. The method further includes a step of optimizing surrounding conditions, a step of selecting modal shapes and a step of selecting at least one excitation point with the excitation orientation and at least one measurement point with the measurement orientation which are performed in that order after the step of creating the mathematical model.

Abstract: A computer implemented method for evaluating autonomous vehicle safety that includes defining criteria for safety of autonomous vehicles in a test space, and dividing the test space into an intended test space and a un-intended test space for the criteria for safety of autonomous vehicles. The intended test space includes characterizations for the autonomous vehicle that can be quantified, and the un-intended test space includes characterizations that are not quantifiable. The method further includes measuring the safety of the autonomous vehicles in the intended test space. The applying the un-intended test space is applied to the intended test space as feedback into the intended test space; and evaluating the intended test space including the feedback from the unintended test space using a combined simulation of peripheral vehicles and autonomous vehicles to provide the evaluation of autonomous vehicle safety.

Abstract: A memory device which can perform various memory tests without increasing a size of the memory device. The memory device includes: a first pad for receiving external ROM data from a memory controller; a second pad for receiving an external clock signal corresponding to the external ROM data from the memory controller; and a control logic connected to the first pad and the second pad and configured to perform an operation corresponding to the external ROM data in response to the external clock signal in a test mode.

Abstract: An information handling system includes a memory and a processor. The memory stores telemetry data, telemetry collection rules, and persona classifications for the information handling system. The processor collects first telemetry data for the information handling system based on first telemetry collection rules. The first telemetry collection rules are set based on a first persona classification for the information handling system. The processor determines whether user behaviors change from behaviors associated with the first persona classification. In response to an amount of change in the user behaviors being above a threshold amount, the processor changes a classification of the information handling system from the first persona classification to a second persona classification.

Abstract: Assisted analytics, facilitates responding to a user selection of a measure that is calculated from a data set that is characterized by a plurality of dimensions of data, populating, with a processor a set of dimensions of the data with dimensions that contribute at least one data value to the user selected measure by calculating, for each dimension of the data in the set of dimensions of data a measure outlier threshold for a set of timeframe-specific values of the measure. This outlier threshold is applied, for each dimension of the data in the set of dimensions of data to calculate a dimension-specific outlier factor by aggregating timeframe-specific outlier weights for each timeframe in which a timeframe-specific value in the set of timeframe-specific values exceeds the measure outlier threshold. The results of this aggregation can be displayed in a ranked list of dimensions based on the dimension-specific outlier factor.

Abstract: Machine-learned prediction of a blame frame of a crash stack. Specifically, a crash stack associated with a crash is parsed into a sequence of frames. The blame frame of the crash stack is estimated by, for each of a plurality of the sequence of frames, identifying a plurality of features of the corresponding frame, feeding the plurality of features to a neural network, and using the output of the neural network to make a prediction on whether the corresponding frame is a blame frame of the crash. If this is done during training time, the predicted blame frame can be compared against the actual blame frame, resulting in an adjustment of the neural network. Through appropriate featurization of the frames, and by use of the neural network, the prediction can be made cross-application and considering the context of the frame within the crash stack.

Abstract: Systems and methods for monitoring mobile devices in a controlled environment are provided. One or more mobile devices may be accessible through a communication port of the mobile device. One or more monitoring devices may be configured to monitor the one or more mobile devices. A processor in communication with the one or more monitoring devices may control the monitoring devices and receive signals from the monitoring devices. A server in communication with the mobile devices may create a communication channel with each of the mobile devices, with each communication channel accessible through a network for use by software developers and testers. Thus, monitoring and detection of malfunctions or other abnormalities of the mobile devices is achieved, and remediation may be performed.

Abstract: A system for monitoring at least one HVAC system includes at least one remotely accessible server, at least one probe or sensor operatively connected to the at least one HVAC system and configured to acquire operational data, and a communication module operatively connected to the at least one probe or sensor and configured to transmit the operational data acquired to the at least one remotely accessible server. The remotely accessibly server includes a processor and a memory unit and is programmed to receive and store operational data acquired for the HVAC system, and identify any operational abnormalities by analysing the operational data. Responsive to an operational abnormality being identified, the server is further programmed to designate a tiered maintenance status for the HVAC system and transmit a corresponding tiered maintenance request to a technician based on the tiered maintenance status designated.

Abstract: A test system comprising a reactor having a fluid circuit and a test zone for an item under test. A plurality of control zones are included in the fluid circuit for controlling parameters of the fluid in accordance with control information. A control system receives input data specifying test values for the fluid parameters, predicts the behaviour of the fluid using the input data and a mathematical model of the reactor, calculates control information based on the predicted fluid behaviour, and communicates the control information to the control zones. The system can simulate transient test conditions by selective use of fluid evacuation and dilution, and by use of temperature and flow bypass circuits.

Abstract: An apparatus and method for analyzing phase noise in a signal. A plurality of signal samples, each signal sample representing a value of phase noise in a signal-under-test at a corresponding offset frequency, and filter data representing filter characteristics on a first side of a spectrum boundary, are used to derive filtered signal samples. A measure of noise is derived from the filtered signal samples. This abstract is not to be considered limiting, since other embodiments may deviate from the features described in this abstract.

Abstract: Herein is disclosed a wireless communication device comprising two or more antennas; one or more transceivers, configured to process wireless signal for one or more processors received via the two or more antennas; and one or more processors, configured to determine a timing of data transmissions within the wireless signal; determine a timing of intervals between beam selection protocol transmissions in the wireless signal; determine a testing period corresponding to an overlap of one data transmission selected from the data transmissions and one interval of the intervals; and measure a signal quality of the selected data transmission during the testing period using a candidate receive-beam setting from a plurality of predefined receive-beam settings for receiving the wireless signals via the two or more antennas.

Abstract: The present application provides a method, a device and a system for determining an actual option common voltage of a display panel. The method for determining the actual option common voltage of the display panel includes the following steps: acquiring a first common voltage and a second common voltage for fitting a curve; acquiring a first flicker corresponding to the first common voltage and a second flicker corresponding to the second common voltage; acquiring a first Vcom-Flicker curve according to the first common voltage and the first flicker, and acquiring a second Vcom-Flicker curve according to the second common voltage and the second flicker; and determining a common voltage at an intersection of the first Vcom-Flicker curve and the second Vcom-Flicker curve, in which the common voltage at the intersection is the actual option common voltage.

Abstract: The present invention relates to an improved recording of context information for a measurement. For this purpose, it is suggested to receive context information from a user and to generate a dataset comprising the received context information. The context information may comprise one or more voice annotation. By using voice annotations for specifying context information of a measurement, a very simple and easy format for acquiring the context information from a user is achieved.

Abstract: Various methods, apparatuses/systems, and media for implementing a language agnostic packaging platform are disclosed. A receiver receives a user request of a process flow corresponding to develop, test, or manage a desired application. A data source stores ready to use modules written for corresponding application programming interface (API) for a plurality of resources. A processor coupled to the receiver and the data source accesses the data source to obtain the ready to use modules written for corresponding application programming interface (API) for the plurality of resources to determine what resources are necessary to develop, test, or manage the desired application and creates an index file based on the resources accessed from the data source. The processor also causes a language agnostic packaging platform to receive the index file as input and automatically creates the desired application as output of the process flow based on the received index file.

Abstract: Methods and systems for detecting defects in an array region on a specimen are provided. One method includes determining a center of a page break in output generated by an inspection subsystem for a specimen in an array region. The page break separates cell regions in the array region, and the cell regions include repeating patterned features. The method also includes determining an offset between the center of the page break in the output and a center of the page break in a design for the specimen and identifying portions of the output that correspond to care areas in the array region based on the offset. In addition, the method includes detecting defects in the array region by applying a defect detection method to the portions of the output that correspond to the care areas.

Abstract: Disclosed are a water quality analyzer and a method for analyzing water quality. The water quality analyzer includes a first disc system, a second disc system, a colorimetric system, a cleaning system, a mechanical sampling system, an analysis system and a central control display. The first disc system and the second disc system are axially rotatable. A plurality of sample locating positions and a chemical locating positions are provided on the first disc system along a circumference of the first disc system. A plurality of colorimetric cuvette locating positions are provided on the second disc system, and the colorimetric system is arranged at a circumference edge of the second disc system. The cleaning system and the mechanical sampling system are provided between the first disc system and the second disc system. The method includes water sampling, water sample injection, cleaning, reagent extraction, reagent injection, cleaning and colorimetric analysis.

Abstract: An information handling system includes an analysis block configured to obtain monitoring results from a monitoring data repository, to analyze the monitoring results to identify at least one monitoring gap, and to provide a monitoring gap result identifying the at least one monitoring gap. A machine learning recommender produces a recommendation to reduce the monitoring gap, and a user interface displays the recommendation.

Abstract: Configuration switch-for setting a specific configuration from a plurality of settable configurations, wherein the configuration switch-has at least one plurality of selectable, mutually differing RC combinations, wherein each RC combination has at least one specific, characteristic variable, which is associated with a settable configuration and wherein to set the specific configuration a specific RC combination is selected/selectable, so that via an output signal-on an output-of the configuration switch, which output signal-comprises the specific, characteristic variable of the selected RC combination, the specific configuration to be set is established based on the specific, characteristic variable.

Abstract: Systems, methods and devices are disclosed for a smart compute memory circuitry that has the flexibility to perform a wide range of functions inside the memory via logic circuitry and an integrated processor. In one embodiment, the smart compute memory circuitry comprises an integrated processor and logic circuitry to enable adaptive System on a Chip (SOC) and electronics subsystem power or performance improvements, and adaptive memory management and control for the smart compute memory circuitry. A resistive memory array is coupled to the integrated processor.

Abstract: A motor driving device includes an acquisition unit configured to acquire multiple pieces of data in data acquisition periods having different lengths; a selection unit configured to select a piece of data from among the multiple pieces of data, based on timing at which a switching circuit switches switching devices; and a control unit configured to control the switching circuit based on the selected data.

Abstract: An automated testing machine with data processing function and an information processing method thereof are introduced. The automated testing machine includes a test head for testing more than one device under testing (DUT), and the test head further includes a test processing unit for providing more than one electrical test signal to the DUTs and conducting a processing and analyzing on more than one electrical feedback data fed back from the DUTs, so as to generate analysis result information. With the test processing unit capable of conducting data processing directly provided in the test head, signals obtained from the DUTs can be directly analyzed and processed to enable increased data processing efficiency, increased convenience in use and reduced costs of the automated test machine and the information processing method thereof.

Abstract: A metrology system includes a controller communicatively coupled to one or more metrology tools, the controller including one or more processors configured to execute program instructions causing the one or more processors to receive one or more metrology measurements of one or more metrology targets of a metrology sample, a metrology target of the one or more metrology targets including one or more target designs with one or more cells, the one or more target designs being generated on one or more layers of the metrology sample; determine one or more errors based on the one or more metrology measurements; and determine one or more correctables to adjust one or more sources of error corresponding to the one or more errors, the one or more correctables being configured to reduce an amount of noise in the one or more metrology measurements generated by the one or more sources of errors.

Abstract: A method, a device, and a non-transitory storage medium provide a network evaluation service. The service collects live network traffic data for a client device in a network; stores a benchmark pattern model; determines a category of the live network traffic data based on a segment size; detects a first traffic pattern of the live network traffic data based on measured segment parameters for the category; matches the first traffic pattern to a second traffic pattern in the benchmark pattern model to identify a result; compares the live network traffic data with a benchmark application pattern from the benchmark pattern model; and identifies, based on the comparing, a level of degraded performance in the network.

Abstract: A system and method uses different authentication techniques, including weak passive authentication techniques, to authenticate users by generating a score and comparing it to a threshold selected according to the feature the user is requesting.

Abstract: An example embodiment includes a plurality of flight modules including a primary flight module and a secondary flight module. The embodiment includes a CAN controller, a second CAN controller, a first CAN bus configured to transmit primary control signals from the first CAN controller to the primary flight module and to the secondary flight module, and a second CAN bus configured to transmit secondary control signals from the second CAN controller to the primary flight module and the secondary flight module. The primary flight module is configured to perform functions responsive to receiving the primary control signals, and not in response to receiving the secondary control signals and the secondary flight module is configured to perform functions responsive to receiving the secondary control signals, and not in response to receiving the primary control signals.

Abstract: The capacitive proximity sensor includes an oscillation means, an LCR resonance circuit including a sensor electrode, a sensor circuit that outputs a determination voltage signal corresponding to the capacitance of the sensor electrode, and a control unit that detects the proximity of a human body to the sensor electrode based on the determination voltage signal. The control unit performs control that alternatingly and repeatedly executes calibration steps for updating a detection frequency f1 and a first threshold value Vth1 and a detection step for detecting the proximity of the human body to the sensor electrode.

Abstract: Techniques and systems to achieve more accurate design alignment to an image by improved pixel-to-design alignment (PDA) target selection are disclosed. PDA targets in an image frame of a die can be biased to include a hotspot location in one of the PDA targets. The PDA targets can be evaluated for repetitive patterns by analyzing the uniqueness of the points used as the PDA targets.

Abstract: Assisted analytics, facilitates responding to a user selection of a measure that is calculated from a data set that is characterized by a plurality of dimensions of data, populating, with a processor a set of dimensions of the data with dimensions that contribute at least one data value to the user selected measure by calculating, for each dimension of the data in the set of dimensions of data a measure outlier threshold for a set of timeframe-specific values of the measure. This outlier threshold is applied, for each dimension of the data in the set of dimensions of data to calculate a dimension-specific outlier factor by aggregating timeframe-specific outlier weights for each timeframe in which a timeframe-specific value in the set of timeframe-specific values exceeds the measure outlier threshold. The results of this aggregation can be displayed in a ranked list of dimensions based on the dimension-specific outlier factor.

Abstract: An embodiment features a method of generating test data. An application-level schema corresponding to a source relational database is received. The schema defines constraints comprising one or more of inter-field, inter-record, and inter-object constraints between related data in the source relational database. A random walk is performed on a graph of nodes representing data in the source relational database. At respective ones of the nodes, corresponding ones of the data in the source relational database are selected along a path ordered in accordance with the constraints defined in the schema. Synthetic test data is generated based on one or more statistical models of the data selected from the source relational database. Data values are generated for respective fields of an object defined in the schema, and data values are generated for records related to the object based on one or more of the constraints defined in the schema.

Abstract: An automatic circuit board test system includes at least one switch module of board under test connected with a test board, a control module and a test process module. The test board includes a first signal interface, a second signal interface and a third signal interface and a repeater. The second signal interface and the third signal interface are mutually connected by a signal cable. The first signal interface is connected with the repeater. The at least one switch module of board under test is connected with the second signal interface and the third signal interface. The control module is connected with the at least one switch module of board under test. The control module controls the at least one switch module of board under test. The test process module is connected with the control module and the first signal interface by at least two serial port buses.

Abstract: Embodiments of the present invention provide a method, system and computer program product for test data generation using unique common factor sequencing. In an embodiment of the invention, a method for test data generation using unique common factor sequencing is provided. The method includes loading a table for population with test data in a test data generation tool executing in memory of a computer. A column set of multiple columns in the table associated with a key to the table can be selected for processing and different cardinality sequence values are assigned to the columns in the set such that the cardinality sequence values do not share a common factor except for unity as in the case of prime numbers.

Abstract: Techniques are described for measuring test coverage during phased deployments of software application updates. A phased deployment of a software application update generally involves initially deploying the software update to a subset of compute instances running the software application within a computing environment, using a testing application to verify whether the updated software application is operating as expected, and then deploying the update to the remaining compute instance of the computing environment once the tests are passed. A testing system and framework described herein enables a code deployment service to determine when complete or sufficient test coverage is achieved for software updates deployed in a computing environment supporting a distributed software application.

Abstract: Techniques for generating an arbitrary target electromagnetic signal with a nonlinear material, include determining a time varying target amplitude and target phase and an order n of a nonlinear material. For each time, a first set of nth roots of the target amplitude and a second set of nth roots of the target phase are determined. An input amplitude based on one value from the first set and an input phase based on one value from the second set is determined at each time. A difference between temporally successive values of phase is minimized. An electromagnetic signal is modulated to impose the input amplitude and phase to produce a modulated electromagnetic input signal that is introduced into the nonlinear material to produce a target electromagnetic signal.

Abstract: A method of generating a robot operation command includes extracting a work command from an overall work flow; extracting, from a command definition database, a command definition corresponding to the extracted work command, the work command having been read; generating, by referring to the read work command, a set of unit jobs in which at least one work command is arranged in order, based on the extracted command definition; generating, for a plurality of unit jobs, a connecting job for causing a robot to be moved from an end position of a previous unit job to a start position of a subsequent unit job; and generating a robot operation command in which the unit jobs and the connecting job are continuous.

Abstract: A method and system for component maintenance including for avionics components including a light assembly provided at a component, the light assembly configured to provide an output indicative of a status of the component and a mobile device having a display and an optical sensor and configured to determine light emitted from the light assembly and determine the status of the component to define a determined status based on light intensity.

Abstract: Whether video advertisements are being delivered to a human user or a machine is determined passively, i.e., without having the user to perform any explicit actions. Based on the time and frequency of ad requests generated from a user device, a daily schedule is estimated for the user. The estimated daily schedule is compared with a daily schedule pattern to determine whether the user is a human user or not.

Abstract: A method of determining respiratory rate from a photoplethysmograph signal includes filtering the photoplethysmograph signal to create a filtered photoplethysmograph signal. The method also includes detecting peaks and valleys in the filtered photoplethysmograph signal to extract predetermined features from the filtered photoplethysmograph signal. The method also includes obtaining variation waveforms from the predetermined features. The method also includes removing outliers from each of variation waveforms. The method also includes interpolating for the outliers removed from each of the variation waveforms to acquire a frequency estimation of each of the variation waveforms. The method also includes determining a respiratory rate based on the frequency estimation of each of the variation waveforms. The method also includes determining a weighted average of the respiratory rate the variation waveforms to determine an estimated respiratory rate.

Abstract: A method and system for manufacturing a circuit is disclosed.

Abstract: An apparatus and system are provided that provide advanced metering infrastructure and transformer monitoring operations in a smart grid and a wireless mesh network with a television white space (TVWS) backhaul to provide Internet connectivity to consumer devices. A transformer monitoring device receives signaling comprising utility usage data from one or more smart meters in a smart grid, monitors the transmission of electricity from a transformer to the buildings in the smart grid, and establishes a wireless mesh network to provide Internet connectivity to the one or more smart meters and to user devices. The apparatus receives a TVWS signal from a broadcast source, and converts the TVWS signal to a radio frequency or Wi-Fi signal, for transmission to the one or more smart meters and/or user devices to establish the wireless mesh network with a TVWS backhaul.

Abstract: The present application discloses a method and a test machine platform for quickly searching for a common voltage of a display panel. The method includes: measure a flicker value of the display panel; perform a power conversion on the flicker value, and perform a unary quadratic function fitting on the converted flicker value and the corresponding common voltage; and obtain a common voltage value as a common voltage.

Abstract: A hot spot defect detecting method and a hot spot defect detecting system are provided. In the method, hot spots are extracted from a design of a semiconductor product to define a hot spot map comprising hot spot groups, wherein local patterns in a same context of the design yielding a same image content are defined as a same hot spot group. During runtime, defect images obtained by an inspection tool performing hot scans on a wafer manufactured with the design are acquired and the hot spot map is aligned to each defect image to locate the hot spot groups. The hot spot defects in each defect image are detected by dynamically mapping the hot spot groups located in each defect image to a plurality of threshold regions and respectively performing automatic thresholding on pixel values of the hot spots of each hot spot group in the corresponding threshold region.

Abstract: Behavioral intelligence can be used with cloud native computing to enhance software deployment for various infrastructures by analyzing and deploying software functions according to the various infrastructures. Because different providers can have their own systems and controls for managing their infrastructures, it is costly to deploy software functions that are coupled together. However, if the software functions are disaggregated and translated according to the systems and controls relative to the various infrastructures, then the software functions can be failed and scaled independently of one another, thereby generating efficiencies.

Abstract: A system for calibration of a global navigation satellite system simulator, comprising a radio frequency component, a digital-to-analog conversion component, and a digital baseband component. The digital baseband component is configured to provide signals assigned to at least two sub-bands, each representing a global navigation satellite system band. The digital baseband component comprises at least one numerically controlled oscillator component that is configured to synchronize the signals assigned to the at least two sub-bands in order to provide at least two synchronized sub-bands. The digital baseband component is configured to add the signals assigned to the at least two synchronized sub-bands. Further, a method of calibrating a global navigation satellite system simulator is described.

Abstract: Methods for analyzing a measured signal, and a measurement unit for carrying out these methods, are provided. The method includes, acquiring at least a first segment and a second segment of the measured signal by a measurement unit; storing the at least a first segment and a second segment in an acquisition memory of the measurement unit; applying a filter on the at least a first segment and a second segment; and storing at least one segment of the at least a first segment and a second segment that corresponds to the filter into at least one of a display memory and a processor memory of the measurement unit.