Abstract: A real-time abnormity-diagnosing and interpolation method for water regime-monitoring data relates to the technical field of monitoring water regime. This method includes the following steps: acquiring water regime-monitoring data, drawing a box plot, recognizing and diagnosing abnormal data in real time based on the box plot, performing grey correlation analysis on other variables related to a predictor variable, building a BP neural network model and making training, applying the BP neural network model to predict water regime-monitoring data in real time, and performing abnormity diagnosis and data interpolation. Adopting this method, we can effectively enhance predicting and monitoring the water regime-monitoring data in real time, and diagnose abnormal data and make interpolations in time, thereby improving the reliability of data, objectively reflecting water regime changes, and effectively guiding engineering scheduling.

Abstract: A differential information extraction unit 81 receives input of a function and a provisional solution of the function, and calculates a first-order differential and a second-order differential in the provisional solution of the input function. An end condition determination unit 82 determines whether to continue updating of a solution in the function, based on the provisional solution. A number-of-updates decision unit 83 decides a number of updates of the provisional solution, based on the provisional solution, the first-order differential, and the second-order differential. A provisional solution updating unit 84 repeatedly performs a process of updating the provisional solution as many times as the decided number of updates based on the first-order differential and the second-order differential, and outputs the updated provisional solution as an optimum solution.

Abstract: An apparatus and method for operating a new well includes receiving a plurality of data relating to drilling operations from a plurality of wells in a region, the data including data from a plurality of sensors at each of the plurality of wells and data regarding equipment used for the drilling operations at each of the plurality of wells. A plurality of parameters is calculated based on the collected data from the plurality of wells. At least one equipment and at least one operating parameter are identified to use for drilling operation of the new well within the region based on the received data and the calculated parameters. The identified at least one equipment and at least one operating parameter are applied to use for the drilling operation of the new well.

Abstract: A system can obtain data that is sourced from an operator of a power grid and includes data items provided on a per-segment basis for feeders. The system can branch the data items into respective feeder groups and generate a data structure based on an adjacency map for segments of a feeder group. The system can construct a feeder load profile based for a feeder on the ordered data structure. The feeder load profile depicts a load capacity for the feeder as a function of a distance from the substation. The system can then determine, based on the feeder load profile, that an available load capacity at the interconnection point is below a threshold required to support an electric vehicle (EV) charging station and identify upgrades based on variations in the feeder load profile to support the EV charging station.

Abstract: A processing pipeline for supporting advanced analytics for network monitoring and information management as well as specific analytics for particular use cases. The processing pipeline 500 takes in system data (502) and pre-processes (504) the system data. The system data (502) may include any of the types of data described above including text log files, and categorical data from various sources. The illustrated processing pipeline 500 includes two branches; a data modeling branch (506) where a model is developed for the data and a data evaluation branch (508) where the developed model is leveraged to evaluate live data. For certain event detection use cases, the output of the data evaluation branch (508) includes a score (510) (e.g., a threat level score) and context information for evaluating the threat.

Abstract: Described herein is a computer implemented method for generating webpage data. The method includes processing a set of design element objects to generate a set of element-grid records, each record corresponding to a design element and including a unique column start, a unique column end, a column start offset and a column end offset. The set of element-grid records is processed to generate a webpage grid definition that defines a grid including a plurality of columns and a plurality of rows. A first design element and a second design element have a same horizontal start position and the webpage grid definition defines: a unique column start gridline for the first design element; a unique column start gridline for the second design element; and a zero-width first column between the first and second column gridlines.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using generative design processes. A method includes obtaining one or more load cases and one or more design criteria for a modeled object, the one or more design criteria comprising a build material strength model indicating strength relationships between thickness of an object feature and build angle for that object feature resulting from additive manufacturing; iteratively modifying a three dimensional shape of the modeled object in accordance with the one or more design criteria and the one or more load cases, including applying the strength relationships between the thickness of the object feature and the build angle for that object feature on a per-element basis during numerical simulation of the modeled object; and providing the three dimensional shape of the modeled object for use in manufacturing a physical structure.

Abstract: A method for generating a robot exploration path for a robot to move along includes: establishing a point cloud scene according to single-frame point cloud data collected by the robot, the point cloud scene includes a plurality of data points; classifying and marking each of the data points, the classification mark includes a ground point and an obstacle point, and taking the data points marked as ground points as a ground point cloud; generating a confidence map according to the ground point cloud, the confidence map is configured to display a location and a confidence of each of the ground points in the ground point cloud; generating a plurality of access nodes according to the confidence map; and generating an exploration path according to the access nodes.

Abstract: Anomalies are detected in network packet header data associated with a user's smart device that is in communication with one or more external sources via an electronic network. The user's smart device has one or more device classifications. Bayesian priors are stored of network traffic obtained from crowdsourced network packet header data for a plurality of smart devices having one of the same device classifications as the user's smart device. Network traffic obtained from network packet header data for the user's smart device is captured. The network traffic for the user's smart device is compared with the Bayesian priors and any anomalies are identified. The anomalies indicate potential abnormal data communication behavior regarding the user's smart device.

Abstract: An improved method for controlling a lifting device, which moves a load along a first movement direction and along a second movement direction within a specified working area of the lifting device from a starting point to an end point. Individual movements are planned for the first movement direction and for the second movement direction, by which the load is moved further along the movement directions and brought to a newly specified end point.

Abstract: A computerized method of processing data for use in weather modeling is provided. The method includes receiving, from a first data source, by a first server, microwave link data including signal attenuation information. The method also includes pre-processing, in real time, by the first server, the microwave link data, thereby producing pre-processed microwave link data. The method also includes storing the pre-processed microwave link data in a first data store. The method also includes receiving, from the first data store, by a second server, the pre-processed microwave link data. The method also includes processing, on a scheduled routine, by the second server, the pre-processed microwave link data using a data transform, thereby producing first weather data.

Abstract: A separate relationship management interface for applications that utilize application data objects to implement various application features is used to track changes to relationships between application data objects. Requests that cause writes corresponding to relationships between application data objects and requests that cause reads of relationships between application data objects may be handled using an interface that interacts with a separate data store tracking the relationships between application data objects.

Abstract: A method can include receiving a stimulated rock volume dimension for a hydraulic fracture in a reservoir where the stimulated rock volume dimension defines a stimulated rock volume region: refining a grid cell model of the reservoir based on the stimulated rock volume dimension by selecting a refinement technique from a group of refinement techniques and generating new finer grid cells in the grid cell model based on the selected refinement technique: assigning a physical property value to each of the new finer grid cells using one or more physical property values selected from a group of existing physical property values; and performing a fluid flow simulation using the grid cell model with the new finer grid cells and their assigned physical property values, and the group of existing physical property values to generate fluid flow simulation results.

Abstract: The present invention includes embodiments of systems and methods for facilitating users' selection of compute infrastructure options that satisfy predefined performance goals. The integrated, multi-provider cloud-based platform of the present invention employs abstraction layers for communicating with and integrating the resources of multiple back-end hardware providers, multiple software providers and multiple license servers. These abstraction layers and associated functionality free users not only from having to implement and configure provider-specific protocols, but also from having to address interdependencies among selected hardware, software and license servers on a job-level basis or at other levels of granularity.

Abstract: Techniques for providing improvements in agricultural science by optimizing irrigation treatment placements for testing are provided, including analyzing a plurality of digital images of a field to determine vegetation density changes in a sector of the field. The techniques proceed by comparing a distribution of pixel characteristics in the digital images for each field sector to determine sectors in which minimal differences are present. Instructions for irrigation placements and testing may then be displayed or modified based on the results of the sector determinations.

Abstract: An AFSM core includes a destination state-cell generating a destination state-signal, and a source state-cell generating a source state-signal and causing transition of the source state-signal in response to an acknowledgement indicating transition of the destination state-signal. The acknowledgment is communicated through a delay. A state-overlap occurs between transition of the destination state-signal and transition of the source state-signal. An output-net includes a balanced logic-tree receiving inputs, including the destination state-signal, from the core, and an additional logic-tree cascaded with the balanced logic-tree to form an unbalanced logic-tree so an input to the additional logic-tree is provided by output from the balanced logic-tree and another input receives the source state-signal. Tree propagation time occurs between receipt of a transition in the destination state-signal by the balanced logic-tree and a resulting transition of the output from the balanced logic-tree.

Abstract: An online voltage control method for coordinating multi-type reactive power resources is provided. First, a linearized power flow equation of branch reactive power is established, and an online voltage control model of multi-type reactive power resources including an objective function and constraint conditions is constructed. The constraint conditions includes generator reactive power constraints, reactive power compensator constraints, transformer tap position constraints, a nodal reactive power balance constraint, and slack contained nodal voltage constraints. Then, an optimization result of voltage control is obtained by solving the model.

Abstract: A method includes receiving intraoral scan data of an intraoral cavity of a patient; processing the intraoral scan data to determine, for each dental condition of a plurality of dental conditions, whether the dental condition is detected for the patient and a severity of the dental condition; and presenting indications of the plurality of dental conditions together in a graphical user interface (GUI), wherein the indications show, for each dental condition of the plurality of dental conditions, whether the dental condition was detected for the patient and the severity of the dental condition.

Abstract: The present disclosure provides an apparent resistivity-depth section generating method for short-offset electromagnetic exploration, including: determining, in field zones divided quantitatively based on the induction number, positions of a recording point for each of observation points and frequencies or a time window thereof, and taking determined positions of the recording point as the assignment point for the observation point and the frequencies or the time window thereof, where one survey line of an axial configuration generates one apparent resistivity-depth section along the survey line; and one survey line of an equatorial configuration typically generates one apparent resistivity-depth section along the survey line, and apparent resistivity-depth sections along connecting lines from the observation points to the source which are the same as observation points in the number.

Abstract: Embodiments disclosed herein provide methods, systems, and computer program products that utilize long-range phase information to detect subtle chromosome imbalances in genotype data. Clonal expansions result from mutation followed by selective proliferation, and the embodiments disclosed herein may be used to somatic structural variant events (SVs) predictive or diagnostic of cancer and other diseases.

Abstract: Systems and methods presented herein are configured to train a neural network model using a first set of photographs, wherein each photograph of the first set of photographs depicts a first set of objects and include one or more annotations relating to each object of the first set of objects; to automatically create mask images corresponding to a second set of objects depicted by a second set of photographs; to enable manual fine tuning of the mask images; to re-train the neural network model using the second set of photographs, wherein the re-training is based at least in part on the manual fine tuning of the mask images; and to identify one or more individual objects in a third set of photographs using the re-trained neural network model.

Abstract: A computer implemented method for managing datasets for a histogram. The method uses a number of processor units to determine a first span for first bins containing first datapoints in a first dataset in the datasets. The first span is determined based a distribution of the first datapoints in the first dataset and a desired number of bins. The number of processor units adjusts a second span for second bins containing second datapoints in a second dataset in the datasets to form an adjusted span that matches the first span for the first bins. The number of processor units merges the first datapoints in the first bins having the first span with the second datapoints in the second bins having the adjusted span to form a merged dataset for the histogram.

Abstract: A method and system for prediction of wave properties include collecting time-series data streams from one or more wave measurement devices and processing the data to identify data parameters to establish boundary conditions of a numerical model. The numerical model may be used to compute a predicted wave field of time-series data for a variety of wave properties at a target location.

Abstract: Systems and methods for automatically updating patient insurance information in response to a rejection by an insurance provider are provided. An indication that a prescription submitted to an insurance provider associated with a patient for payment has been rejected by the insurance provider may be received. The indication may include a rejection message associated with the rejection of the prescription. Based on the rejection message, the systems and methods may determine whether the rejection is related to incorrect insurance information. A likelihood that the prescription will be paid for when the insurance information is corrected may be calculated. Based on the calculated likelihood, the systems and methods may determine whether to initiate a patient insurance lookup system search.

Abstract: A computer-implemented method for making executable specifications in the system development and/or the system validation of a functional system for a target device for a motor vehicle. The method includes: providing a function system including at least one model view of the one or multiple functions for controlling or regulating a target device; providing a selection interface configured for selecting and changing a system part in a provided first model view by a user; transferring and displaying the system part selected and/or changed in the first model view in another model view for the user; providing a specification-and-approval interface designed for selecting and/or checking and/or further adapting the displayed system parts or changes in the other model view and for approving the changes to the system made in the first and/or in the other model view by the user; adopting in an automated manner the approved changes.

Abstract: Disclosed in the present disclosure is a classification method based on skeleton lines for building shapes. The method includes: (1) expanding a template library of buildings by combining building shape classification in architecture and building shape features in real life on the basis of inheriting advantages of a traditional template matching method; (2) avoiding influence of small depressions and protrusions of the buildings on overall shapes by constructing a least-squares template; (3) extracting the skeleton lines of the buildings and calculating feature vectors of the buildings; and (4) calculating similarity between feature vectors of skeleton lines of the buildings and skeleton lines of templates by using cosine similarity, and selecting the template with the highest similarity as a classification result of the building shapes.

Abstract: A water supply control system is disclosed that comprises a computer-implemented control system coupled to a plurality of gates, one or more pumps, and a plurality of sensors. The computer-implemented control system is configured to receive a request to transfer excess water from a non-water supply lake to a water supply lake and determine, based at least in part on data from the plurality of sensors and geographic locations of the non-water supply lake and the water supply lake, whether transferring water as requested will cause or worsen a flood event. In response to a determination that transferring water as requested will not cause or worsen a flood event, the computer-implemented control system is further configured to issue a command to cause a gate associated with a dam at the non-water supply lake to open such that water is transferred from the non-water supply lake to the water supply lake.

Abstract: The presently disclosed systems and methods provide monitoring systems and methods for assessing risk based on individual risk control categories. In an embodiment, the risk is assessed based on data for a particular control category. A subset of the data is weighted according to a first weighting function, and a different subset of the data is weighted according to a second weighting function. The weighted data is combined to generate a control health index that may be used to assess risk.

Abstract: A media Parameter-modified method for realizing an adaptive expression of an arbitrary discontinuous surface, comprising the following steps: importing an initial forward model, importing anisotropic parameters; and setting a space step and a time step according to the initial forward model parameters; and then starting a stepped discretization of a free surface of the initial forward model; and using a corrected constitutive relationship to correct a first level parameter of the initial forward model; and bringing the corrected constitutive relationship into a displacement stress equation, and the influence of the free surface can be introduced in the case of the anisotropic media after series of operation. The present disclosure can make an accurate numerical simulation of a wave field near the discontinuous surface, and the accurate numerical simulation will contribute to the extraction and analysis of information from the seismic data.

Abstract: An example apparatus to perform a convolution on an input tensor includes a parameters generator to: generate a horizontal hardware execution parameter for a horizontal dimension of the input tensor based on a kernel parameter and a layer parameter; and generate a vertical hardware execution parameter for a vertical dimension of the input tensor based on the kernel parameter and the layer parameter; an accelerator interface to configure a hardware accelerator circuitry based on the horizontal and vertical hardware execution parameters; a horizontal Iterator controller to determine when the hardware accelerator circuitry completes the first horizontal iteration of the convolution; and a vertical Iterator controller to determine when the hardware accelerator circuitry completes the first vertical iteration of the convolution.

Abstract: An accelerated life test method for a speed reducer of an industrial robot is provided. The accelerated life test method includes: setting first load stress higher than rated load stress and second load stress lower than the rated load stress; performing an accelerated life test by loading the first load stress to first speed reducer samples; calculating a service life of each of the first speed samples in the accelerated life test; performing a contrast test by loading the second load stress to second speed reducer samples; calculating a service life of each of the second speed samples in the contrast test; and calculating an acceleration coefficient, and the acceleration coefficient is equal to a ratio of the service life in the accelerated life test to the service life in the contrast test.

Abstract: A method for predicting the fluctuation of circuit path delay on the basis of machine learning, comprising the following steps: S1: selecting suitable sample characteristics by means of analyzing the relationship between circuit characteristics and path delay; S2: generating a random path by means of enumerating values of randomized parameters, acquiring the maximum path delay by means of performing Monte Carlo simulation on the random path, selecting a reliable path by means of the 3? standard, and using the sample characteristics and path delay of the reliable path as a sample set (D); S3: establishing a path delay prediction model, and adjusting parameters of the model; S4: verifying the precision and stability of the path delay prediction model; S5: obtaining the path delay.

Abstract: Aspects of the disclosure provide a method for wafer result prediction. The method includes determining predictor parameters of a semiconductor process using domain knowledge that includes knowledge of the semiconductor process, a processing tool associated with the semiconductor process, a metrology tool, and/or the wafer. The method also includes removing collinearity among the predictor parameters to obtain key predictor parameters, and selecting a subset of the key predictor parameters based on metrology data of the wafer obtained from the metrology tool. The method further includes building a virtual metrology (VM) model on the subset of the key predictor parameters and may include predicting wafer results using the VM model.

Abstract: A computer implemented method for designing chemical reactions for catalyst construction is described. The method includes extracting historical data including historic chemical reaction data and historic catalyst construction yield data and converting the historic chemical reaction data into graph models to represent molecular structure data. The method also includes incorporating the graph models into a chemical reaction algorithm and training a vectorized cognitive deep learning network of the chemical reaction algorithm by using the graph models and a property of the historic chemical reaction data to produce a catalyst chemical reaction model. Further, the method includes validating the catalyst chemical reaction model by inputting the historic chemical reaction data and comparing a generated property corresponding to the catalyst chemical reaction model to the property of the historic chemical reaction data. Lastly, the method includes updating the training of the catalyst chemical reaction model.

Abstract: A shovel includes: an arm rotatably attached to a boom rotatably attached to a revolving body; a bucket rotatably attached to the arm; a tilt mechanism configured to support the bucket that can be tilted to the arm; a bucket tilt angle sensor configured to detect a tilt angle of the bucket; and a tilt angle controller configured to control adjusting the tilt angle. The tilt angle controller adjusts the tilt angle by automatic control of the tilt mechanism so that a bucket line of the bucket becomes parallel to a target excavation surface. The automatic control of the tilt mechanism is enabled after moving the shovel and/or during rotating the shovel.

Abstract: A method for adjusting a blend composition includes: receiving target blend composition data associated with a target blend composition having a target blend property; controlling blend component flow streams to cause blend components to be added to a blend tank to form a blend composition; determining a property of the blend composition; comparing the property of the blend composition with the target blend property; generating control flow instructions based on the property of the blend composition and a machine learning analysis of historical blend data; and adjusting a blend component flow stream of the blend component flow streams to form a modified blend composition in the blend tank.

Abstract: The disclosure provides a method, an apparatus, and a storage medium for controlling heating system. The method includes: establishing an objective function and constraints for estimating system parameters of the heating system, in which the heating system includes nodes, pipelines and equivalent branches, the equivalent branch is configured to represent a heating resource or a heating load in the heating system, the system parameters include a resistance coefficient of each of the pipelines and equivalent branches, and a heat dissipation coefficient of each of the pipelines; solving the objective function based on the constraints to obtain the system parameters; modeling the heating system based on the obtained system parameters to obtain control parameters of the heating system; and controlling the heating system based on the control parameters.

Abstract: A method includes gathering data about the well and the deep and tight sandstone reservoir, evaluating a diagenetic rock typing and a flow index of the reservoir using the data, and determining a first set of perforation locations based on the diagenetic rock typing and the flow index. The method also includes calibrating in-situ stresses based on the data and determining a breakdown pressure envelope and optimal perforation directions using the in-situ stresses, maximum horizontal stress direction, formation mechanical properties, and well trajectory.

Abstract: Systems, methods and apparatus are included that are configured to model microvascular obstruction (MVO) in patients. According to one aspect of the present disclosure, a multi-scale model is configured to mimic myocardial microcirculation of coronary vessels. The model includes collaterals configured to provide alternative pathways possibly bypassing the MVO, and configured to model coronary artery compliance for spatially resolved fluid transport through the coronary vessels. The model is configured to simulate the MVO by increasing flow resistance in at least one of the modelled coronary vessels, or by blocking the at least one of the modelled coronary vessels completely. The model is also configured to mimic behavior of fluid transport in the coronary vessels during diagnostics or treatment, to design and optimize therapy protocols for the MVO.

Abstract: A method of customized installation of access control hardware according to one embodiment includes capturing, by a camera of a mobile device, at least one image of an installation location for the access control hardware, generating a set of customized installation instructions for the access control hardware at the installation location based on the at least one image, and displaying the customized installation instructions on a graphical user interface of the mobile device.

Abstract: Systems and methods for collecting, analyzing, billing and reporting data from intelligent electronic devices are provided. Also, systems and methods for managing sensor data are provided. In some embodiments, a system for managing sensor data may include intelligent electronic devices, a server, a plurality of client devices, and a network. Each of the intelligent electronic devices is configured to obtain sensor data related to power parameters distributed to a load. The server is configured to receive the sensor data from the plurality of intelligent electronic devices and store the sensor data in a database. Each client device is configured to retrieve the sensor data from the database. The network enables communication among the server, the plurality of intelligent electronic devices, and the plurality of client devices.

Abstract: Techniques and methods associated with performing monitoring associated with operations of autonomous vehicles. For instance, the vehicle may capture sensor data using one or more sensors. The vehicle may then analyze the sensor data using systems in order to determine estimated locations associated with the vehicle and estimated locations associated with situations that may result in a potential unsafe scenario represented by the sensor data. Additionally, the vehicle may determine a distribution of estimated locations associated with the vehicle and using the distributions of estimated locations, the vehicle may determine risk probabilities associated with operations of the vehicle. The vehicle may then redefine or update a route or maneuver to perform when the risk probability exceeds a threshold.

Abstract: A computer-implemented method of automatically determining photon-count to penetrated depth function for a CT reconstruction includes performing one or more test CT reconstructions on one or more radiographs, each test CT reconstruction using a test transfer function, to provide one more test reconstructions and determining a final transfer function from the one or more test reconstructions.

Abstract: A method (12) of estimating one or more physiological parameters, in particular of a cardiac region, based on medical imaging data. An input time series of three-dimensional medical images is received (14), representative of a cardiac region of a patient. A meshless simulation frame-work is applied (16) for simulating blood flow through at least a portion of the anatomical area captured by the images. The simulation framework comprises in particular simulating force interactions between individual elements of a simulated fluid (representing blood) and individual patches of a tissue structure of the imaged cardiac region. One or more physiological parameters (18) are derived based on the simulated blood flow.

Abstract: This specification relates to systems, methods and apparatus for recognising patterns in blood glucose measurements.

Abstract: A learning unit of a learning system generates the following learning model. That is, this learning model is a model that inputs rehabilitation data for each predetermined period and predicts a change in index data, the rehabilitation data being data about rehabilitation performed by a trainee using a rehabilitation support system, the index data indicating at least one of a symptom, a physical ability, and a degree of recovery of the trainee. This rehabilitation data includes at least the index data and training data of the trainee, the training data being acquired during the rehabilitation in the rehabilitation support system. Further, the learning unit generates the learning model by using, as teacher data, data obtained in a period until the index data reaches a predetermined target level.

Abstract: The present invention provides materials and methods for determining optimal dosage regimens for therapeutic agents. In particular, the invention relates to dosage regimens for therapeutic agents capable of targeting IL-2 receptor, preferably interleukin 2 (IL2)-based therapeutic agents. The methods of the invention allow general dosage regimens to be determined for new IL-2R targeted therapeutic agents but also specifically tailored dosage regimens to be achieved for individuals being treated with IL-2R targeted therapeutic agents.

Abstract: An analysis method of optimizing vibration performance of a part of an automotive body, including: acquiring a maximum displacement of vibration of the part of the automotive body; acquiring a load required for applying a same displacement as the acquired maximum displacement, to the part of the automotive body; setting a design space by setting a part or member that supports the part of the automotive body as an optimization target; generating an optimization block model formed of three-dimensional elements in the set design space; generating an optimization analysis model by combining the generated optimization block model to the automotive body; and acquiring an optimal shape of the optimization block model by: applying the acquired load as a load condition; and performing optimization analysis for the optimization block model taking an inertial force that occurs in the part of the automotive body due to vibration into consideration.

Abstract: An automotive body adhesive bonding position optimization analysis method of obtaining an optimum position at which a parts set is adhesive-bonded with a structural adhesive in combination with welding, the method including: disposing an adhesive element as the structural adhesive at a position on a body structure model as a candidate at which adhesive bonding is performed with the structural adhesive; setting an optimization analysis condition including a loading condition applied to the body structure model in optimization analysis, to the body structure model on which the adhesive element is disposed; and performing optimization analysis on the adhesive element as an optimization analysis object in the body structure model to which the optimization analysis condition is set so as to obtain a position of the adhesive element satisfying the optimization analysis condition as the position at which adhesive bonding is performed with the structural adhesive.

Abstract: An analyte sensor for use in detecting an analyte in an in vitro sample via spectroscopic techniques using non-optical frequencies that are in the radio or microwave frequency bands of the electromagnetic spectrum. The analyte sensor uses at least one transmit antenna (which may also be referred to as a transmit element) that functions to transmit a signal in the radio or microwave frequency range of the electromagnetic spectrum into the in vitro sample containing an analyte of interest, and at least one receive antenna (which may also be referred to as a receive element) that functions to detect a response resulting from transmission of the transmit signal by the transmit antenna into the sample. The data can then be analyzed to detect the presence of the analyte and/or determine a concentration of the analyte.