Abstract: A system and methods for OCD metrology are provided including receiving multiple first sets of scatterometric data, dividing each set into k sub-vectors, and training, in a self-supervised manner, k2 auto-encoder neural networks that map each of the k sub-vectors to each other. Subsequently multiple respective sets of reference parameters and multiple corresponding second sets of scatterometric data are received and a transfer neural network (NN) is trained. Initial layers include a parallel arrangement of the k2 encoder neural networks. Target output of the transfer NN training is set to the multiple sets of reference parameters and feature input is set to the multiple corresponding second sets of scatterometric data, such that the transfer NN is trained to estimate new wafer pattern parameters from subsequently measured sets of scatterometric data.

Abstract: A sensor measures an environmental factor in an ambient environment immediately surrounding an information handling system. A processor determines that the information handling system is in a first location, provides a first sampling frequency of the sensor based upon the first location, determines that the information handling system is in a second location, and provides a second sampling frequency of the sensor based upon the second location. The first sampling frequency is different from the second sampling frequency.

Abstract: A method for agricultural land parcel valuation includes: accessing data for parcels within a prescribed region, the data comprising management practices, historical weather conditions, locations and topography, remote sense images, soil types, and crop types; assessing and ranking the management practices for each of the parcels; generating simulation inputs for the each of the parcels, where the simulation inputs comprise highest ranked management practices, the historical weather conditions, the locations and topography, the soil types, and the crop types; simulating crop growth for the each of the parcels over a prescribed number of previous years, where the simulating employs the simulation inputs provided by the generating; and employing selected outputs from the simulating to calculate agricultural metrics and a valuation corresponding to the each of the parcels, where the agricultural metrics and the valuation for the each of the parcels are expressed relative to all of the parcels within the prescrib

Abstract: A method for agricultural land parcel valuation includes: accessing data for parcels within a prescribed region, the data comprising management practices, historical weather conditions, locations and topography, remote sense images, soil types, and crop types; assessing and ranking the management practices for each of the parcels; generating simulation inputs for the each of the parcels, where the simulation inputs comprise highest ranked management practices, the historical weather conditions, the locations and topography, the soil types, and the crop types; simulating crop growth for the each of the parcels over a prescribed number of previous years, where the simulating employs the simulation inputs provided by the generating; and employing selected outputs from the simulating to calculate agricultural metrics and a weighted valuation corresponding to the each of the parcels, where the agricultural metrics and the weighted valuation for the each of the parcels are expressed relative to all of the parcels w

Abstract: A method for agricultural land parcel valuation includes: accessing data for parcels within a prescribed region, the data comprising management practices, historical weather conditions, locations and topography, remote sense images, soil types, and crop types; assessing and ranking the management practices for each of the parcels; generating simulation inputs for the each of the parcels, where the simulation inputs comprise highest ranked management practices, the historical weather conditions, the locations and topography, the soil types, and the crop types; simulating crop growth for the each of the parcels over a prescribed number of previous years, where the simulating employs the simulation inputs provided by the generating; and employing selected outputs from the simulating to calculate agricultural metrics and a valuation corresponding to the each of the parcels, where the agricultural metrics include a sustainability metric.

Abstract: A method may include obtaining, by a computer processor, seismic data regarding a geological region of interest. The method may further include obtaining, by the computer processor, well log data from a wellbore within the geological region of interest. The method may further include determining, by the computer processor, a formation top depth using the seismic data, the well log data, a stratigraphic column, and a machine-learning model. The stratigraphic column may describe an order of various formations within the geological region of interest. The machine-learning model may assign a feature among the seismic data and the well log data to a formation among the formations in the stratigraphic column to determine the formation top depth.

Abstract: A fully self-contained portable location tracking device autonomously compares a current location with a latitude-longitude map stored in memory. The latitude-longitude map stores guidance zone values indicative of a predetermined safe zone, progressive alert zones, and a predetermined reference point. The guidance zone values represent actions to be taken based upon current location. When initiated by some combination of current location or zone value, location history, and time, or when otherwise queried, the tracking device transmits the offset from reference location, rather than actual current location data, to at least one wireless communications monitoring apparatus. The monitoring apparatus also stores a copy of the latitude-longitude map and reference point. Using the received offset, the monitoring apparatus knows both the location of the location tracking device and the actions to be taken based upon current location.

Abstract: A system is configured to track and store system and event data for various computing devices. The system is configured to associate the various computing devices with profiles based at least in part on characteristics of the computing devices. The system is further configured to compare performance data and/or performance metrics for particular computing devices having a particular profile against all other devices that share the particular profile. The system then displays this comparison to a user of the particular computing device, substantially automatically diagnoses an issue with the particular computing device based on the performance and system event data, and/or enables the user to diagnose the problem based on the performance and system event data.

Abstract: A thermal regulation system includes a sensor, one or more temperature adjusting devices, and a filler provided in a space between the sensor and at least one of the one or more temperature adjusting devices. The one or more temperature adjusting devices are (1) in thermal communication with the sensor, and (2) configured to adjust a temperature of the sensor from an initial temperature to a predetermined temperature at a rate of temperature change that meets or exceeds a threshold value.

Abstract: This water vapor observation device comprises an antenna, an RF amplifier, and processing circuitry. The antenna receives radio waves radiated from an atmosphere including water vapor. The RF amplifier amplifies the received radio waves and generates an observation signal. The processing circuitry is programmed to at least: use the observation signal to select a plurality of observation frequencies excluding an accuracy degraded frequency; and calculate a water vapor index using the spectral intensities of the plurality of observation frequencies. This configuration makes it possible to accurately observe a water vapor amount.

Abstract: An object of the disclosure is to determine the remaining saturation of existing fluids in naturally fractured and/or homogeneous reservoirs, considering an unconventional tracer test, using the double tracer test method with pressure monitoring (PDTcMP®), which also integrates unused technical elements, in order to estimate more accurately the value of the remaining oil saturation (ROS) in naturally fractured reservoirs, unlike conventional methods used most commonly in homogeneous media. The disclosure substantially modifies the conventional tracer test, as it uses innovative technical elements, which reduce the uncertainty and/or ambiguity associated with conventional tracer tests, when they are applied in naturally fractured reservoirs.

Abstract: Systems and methods are described for estimating a state of a process and an input to the process using a sensor network. Each sensor node in the sensor network is directly to one or more adjacent sensor nodes and indirectly coupled to the remaining sensor nodes through the one or more adjacent sensor nodes. Each sensor node iteratively calculates a new estimated state based on estimations of the state and the input to the process calculated by the sensor node in a previous iteration. The new estimated state is then adjusted based on a difference between a predicted and actual output of a sensor and is further adjusted based on differences between a previous estimated state calculated by the sensor node and estimated states calculated by adjacent sensor nodes.

Abstract: A method of generating a suggested optimal time for performing an agricultural operation in a field includes receiving data related to a current condition of a crop in the field. A predicted optimal time to perform the agricultural operation in the field is calculated using an agricultural model. Crowdsourcing data is received related to agricultural operations occurring within a defined area surrounding the field and within a defined preceding time period. The predicted optimal time to perform the agricultural operation is adjusted based on the crowdsourcing data, to generate the suggested optimal time to perform the agricultural operation. The suggested optimal time is communicated to a communicator located remote from the computing device and then displayed on the communicator.

Abstract: Computerized method and system for estimating a rain attribute on microwave communications, the estimation being carried out by: obtaining quantized minimum and maximum levels of received signals and transmitted signals over a microwave link during a period; subtracting the quantized maximum level of received signals from the quantized minimum level of transmitted signals to provide a minimal attenuation value; subtracting the quantized minimal level of received signals from the quantized maximal level of transmitted signals to provide a maximal attenuation value; calculating an attenuation difference related to the period by subtracting the minimal attenuation value from the maximal attenuation value; calculating a bias compensated attenuation difference based on the attenuation difference, and bias value related to the microwave link; and calculating the rain attribute, including the average rain during the period, based on the bias compensated attenuation difference.

Abstract: A method for determining an information on an equivalent series resistance is disclosed and comprises: generating at least one excitation voltage signal and applying the excitation voltage to at least two measurement electrodes; measuring a response signal; determining a signal flank from the response signal and determining an ohmic signal portion from one or both of shape and height of the signal flank; and determining the information on the equivalent series resistance from the ohmic signal portion.

Abstract: A method includes obtaining data measurements associated with plants in at least one growing area. The plants have a common genotype and are grown under different growing or environmental conditions in the at least one growing area. The data measurements are associated with one or more characteristics of the plants and multiple characteristics of the growing or environmental conditions. The method also includes processing at least some of the data measurements to identify one or more of the growing or environmental conditions associated with at least one desired characteristic being expressed in the plants being grown. The method further includes outputting an identification of the one or more growing or environmental conditions identified as achieving a specific genotype or phenotype trait for the plants. The specific genotype or phenotype trait is associated with the at least one desired characteristic.

Abstract: A system and method for managing sensors including determining health operation states of the sensors correlative with sensor accuracy, classifying the sensors by their respective health operation state, and teaming two sensors each having a health operation state that is intermediate to give a team having a health operation state that is healthy. The sampling frequency of the sensors to determine sensor accuracy may be dynamic.

Abstract: Systems and methods for monitoring the quality of a surface treatment applied to an article in a manufacturing process are provided. A surface treatment may be applied to at least a portion of an article. A thermal profile of the article may be obtained and used to determine temperature indications of different regions of the article to which the surface treatment has been applied. A standard model of the article may be obtained that includes model regions having model temperature ranges. The temperature indications of the article can be compared with the model temperature ranges to determine if any temperature indications are outside of a corresponding model temperature range. The article may be a shoe part. The surface treatments may include the application of heat, plasma, dye, paint, primer, and/or the application of other materials, substances, and/or processes.

Abstract: A sensor module includes at least one sensor configured to generate sensor information and processing circuitry configured to generate a sensor signal based on the sensor information. The sensor signal includes a sync frame, including two sync signal edges defining the sync frame and indicating a pre-determined synchronization time interval, and the sensor signal further includes a plurality of data signal portions, including at least one data signal portion transmitted within the sync frame. The at least one data signal portion is provided within the sync frame located between the two sync signal edges, wherein each of the at least one data signal portion is defined by at least one data signal edge interposed in the sensor signal between the two sync signal edges.

Abstract: The present disclosure relates generally to thrust vector control mechanisms. Mechanisms are provided comprising support and attachment members for securing a thruster or other object to an additional object and wherein the thruster or object is provided with freedom of movement. At least one motor is provided to control movement and positioning of a thruster or similar object.