Abstract: The disclosed embodiments relate to implementation of a trading system, which may also be referred to as a trading system architecture, having improved performance which further assures transactional determinism under increasing processing transaction loads while providing improved trading opportunities, fault tolerance, low latency processing, high volume capacity, risk mitigation and market protections with minimal impact, as well as improved and equitable access to information and opportunities.

Abstract: Methods and systems for user definable prioritization of market information are disclosed. An example method to prioritize market information displayed in a window within a trading interface includes updating the market information displayed in the window at a first frequency, wherein the first frequency is to correspond to a first window priority. The example method also includes, based on a trigger activation, assigning a second window priority to the window, wherein the second window priority is to cause the market information displayed in the window to update at a second frequency, the second frequency different from the first frequency.

Abstract: A system and method allows an advisor to identify allocations of investments and/or asset classes to each of several model portfolios in each of several investment strategies selected by the advisor, and to select asset classes to use and features to supply, as well as to select a primary and secondary investment to use for tax loss harvesting. Each of several investors is linked to an advisor and prompted with questions whose answers provide an initial assignment of the investor to an investment strategy from among those selected by the advisor to which the investor is linked and a model portfolio of that strategy, such initial assignment being capable of change from the investor in a limited fashion or the advisor in a broader fashion. Investments are made and redeemed and rebalancing occurs in accordance with the model portfolio of the investor and the allocations of the advisor for that model portfolio.

Abstract: Systems and methods for converting live weather data to a weather index for offsetting weather risk. Weather data source systems generate one or more weather data streams that include weather forecast model and observations data. A data distribution system receives a weather index request, identifies at least one instrument and at least one location associated with the request. Weather risk indication data is extracted among the weather data streams associated with the identified location based on predefined parameters associated with the identified instrument. The extracted data is converted into a set of weather index values corresponding to the location, based on a predetermined algorithm associated with the identified instrument. A weather index presentation package is generated that includes the set of weather index values for distribution to at least one user device. The weather index presentation package being distributed is updated concurrent with changes to weather risk indication data.

Abstract: A computer-implemented method for analyzing a vehicle trip is presented. The method may include obtaining a wireless communication address of a vehicle of an insured driver. One or more processors may determine whether the wireless communication address corresponds to one of one or more known vehicles associated with an insured driver. Responsive to determining that the wireless communication address corresponds to one of the one or more known vehicles associated with the insured driver, the one or more processors may collect a plurality of vehicle telematics data during the vehicle trip. The one or more processors may also analyze the plurality of vehicle telematics data to determine at least one driving behavior of the insured driver.

Abstract: Systems and methods for performing insurance damage inspection by an unmanned aerial vehicle (UAV) are provided. A computing device may receive a request to inspect a vehicle, the request comprising a location of the vehicle. The computing device may identify a UAV from a plurality of UAVs that is located closest to the location of the vehicle from other UAVs in the plurality of UAVs. The computing device may instruct the UAV to travel to the location of the vehicle. The computing device may instruct the UAV to collect damage information on the vehicle using one or more onboard sensors of the UAV. The computing device may determine an amount of insurance payout to approve for repairs to the vehicle based on the damage information collected by the UAV.

Abstract: A system and method for monitoring a vehicle uses a wireless mobile device. The wireless mobile device, such as a cell phone, smart phone, PDA, etc., includes some of the hardware that could be utilized to monitor and analyze data and transmit the data (or summaries, statistics or analyses of the data) to a central server. This can greatly reduce the overall cost of the system. The data can be used to determine an insurance rate or as a speed probe for creating traffic maps, for example.

Abstract: Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, operating data may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include actions the feature would have taken to control the vehicle, but which were not taken because a vehicle operator was controlling the relevant aspect of vehicle operation at the time. The operating data may be recorded in a log, which may then be used to determine risk levels associated with vehicle operation based upon risk levels associated with the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.

Abstract: A computing system may be configured to receive and analyze movement data. A stopping point within the movement data may be determined. Additional data related to the determined stopping point may be received from one or more roadway infrastructure devices. A time interval of data may be determined and analyzed based on the additional data. A driving pattern may be determined based on the analyzed determined time interval of data. A driver of a driving trip may be determined based on the driving pattern. Data corresponding to the driver and the driving trip may be outputted. Drivers associated with driving trips may be identified based on the movement data. In some cases, a driving pattern may be determined based on the movement data.

Abstract: A system for analyzing the environment of a vehicle i) receives a plurality of data from at least one sensor associated with a vehicle, such that the plurality of data includes at least one environmental condition at a location; (ii) analyzes the plurality of data to determine the at least one environmental condition at the location; (iii) determines a condition of a building at the location based upon the at least one environmental condition; (iv) determines an insurance product for the building based upon the determined condition associated with the building; and (v) generates an insurance quote for the insurance product. As a result, the speed and accuracy of insurance providers learning about potential clients and the conditions of the potential client's property and needs is increased.

Abstract: A tax data collection system includes a navigation module configured to obtain user data. The system also includes a data graph including information relating to the user data. The system further includes a knowledge engine configured to map the user data onto a data model using the information from the data graph. Moreover, the system includes an inference engine configured to suggest a system action by analyzing at least the data model after the user data has been mapped thereon.

Abstract: Various embodiments are related to receiving, by a system and from a user interface associated with an application, provided by the system and executing on a computing device of a user, an input for configuring early payment of at least a percentage of earned pay of the user; and initiating, by the system, an electronic transfer of a payment for at least the percentage of the earned pay of the user to an account of the user, wherein the electronic transfer occurs prior to a scheduled paycheck for the earned pay.

Abstract: A system for viewing shopping information on a social networking platform is disclosed. At the social networking platform, the system receives a request from a user device corresponding to a first user of the social networking platform to view a list of a second user of the social networking platform. The list may include items offered for transaction on a network-based commerce server. In response to receiving the request from the user device, the system forwards the request to the network-based commerce server, and then receives updated information for at least one item on the list from the network-based corner server. Then, the system communicates the updated information received from the network-based commerce server to the user device.

Abstract: The present disclosure describes techniques for presenting information associated with content creators. The techniques comprise receiving information about a first subset of users selected based on information about a first users, displaying information about a second user among the first subset of users in a first area of a user interface, displaying information about a plurality of users among a second subset of users in a second area of the user interface while displaying the information about the second user in the first area, determining that the first user has a desire to review information about a third user among the first subset of users based on user input, displaying information about the third user in the first area, and displaying information about a plurality of users among a third subset of users in the second area while displaying the information about the third user in the first area.

Abstract: In general, the present disclosure includes a system, method and architecture for use in analyzing content of a social network data to identify a financial market trend, e.g., a trend associated with a financial market instrument.

Abstract: The embodiments of the present application provide a data consolidation analysis method and a data consolidation analysis method. The data consolidation analysis system includes: a first acquiring module, which is configured to acquire machine event data; a second acquiring module, which is configured to acquire production event data; a data processing module, which is connected with the first acquiring module and the second acquiring module and configured to acquire a raw process time of each product and a production capacity index of each batch of products; and an analyzing module, which is connected with the data processing module and configured to acquire a first matching relationship between the production capacity index of each batch of products and the raw process time of each product.

Abstract: Systems and methods for demand-based water distribution and management are disclosed. The system may determine a first price for each water distributor of a plurality of water distributors based on a plurality of demand factors. The system may transmit a plurality of water distributor locations to a first customer device, each location associated with a respective water distributor. The system may receive a selection of a first water distributor location from the first customer device and, in response, transmit directions to the first water distributor location to the first customer device. In response to the first customer device being authenticated by a first water-distribution device associated with the first water distributor, the system may transmit a signal to the first water-distribution device to transition to an unlocked state to allow the first customer to make a first purchase of water at a first price.

Abstract: Systems and methods for providing distance-based indicators for electric vehicles are provided. In one embodiment, a method includes generating a dynamic task list, having a plurality of tasks associated with a vehicle location of a vehicle, in response to a parking event. Each task of the plurality of tasks has a task period. The method also includes determining a charge period for the vehicle at a charging station based on one or more vehicle charging parameters. The method further includes calculating a user return period based on a return distance between a user and the vehicle. The method yet further includes displaying a timing indicator with one or more of the plurality of tasks on the dynamic task list based on the task period and the user return period.

Abstract: Disclosed herein are systems and methods for planning a multimodal itinerary. The systems and methods may include receiving a transportation request. The transportation request may include a starting location, a final destination, and an estimated payload data. During a first leg of the multimodal itinerary, an updated payload data may be received. An aerial vehicle may be assigned to a subsequent leg of the multimodal itinerary based on the updated payload data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, are disclosed. A system includes one or more processors and one or more computer storage media storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations including: receiving data indicating that a visitor is scheduled to arrive at a property at a particular time; receiving, at the particular time and from a camera, image data; determining, based on the image data, a characteristic of the visitor; receiving, from a sensor, sensor data that indicates an attribute of the property; and based on the sensor data and on the characteristic of the visitor, selecting and performing a monitoring system action.

Abstract: Systems and methods for establishing a living arrangement between a staker of cryptocurrency and an owner of a real property are described. Distributed ledger technology may be leveraged to facilitate arrangements between a staker (e.g., a cryptocurrency staker) and an owner (e.g., a real property owner). The staker may receive aspects (e.g., staying rights, etc.) of a real property by locking cryptocurrency to a smart contract, where a portion or all of the residuals from decentralized financial activities may be earmarked for the owner. In some cases, maturity of the arrangement may be residual dependent (e.g., where the arrangement terminates once the sum of the residues to the owner reaches a threshold). At the maturity of an arrangement, the staked amount may be unlocked and available for the staker, and the owner's interest in the title (or deed) is transferred and claimable to the staker.

Abstract: Two sets of data, each containing property listings, are obtained from two discrete merchant platforms. Each property listing in a set of data of a first merchant is sequentially paired with each of the property listings in a set of data of a second merchant. For each pair, each image of the property listing of the first merchant is compared to each image of the property listing of the second merchant, and images of statistically sufficient similarity are identified. The similarity of images, and in particular, of similar images likely to be rooms of the property, are considered in a determination of whether the product listings of the first and second merchant are for the same cross-listed product.

Abstract: A multi-tier blockchain-based method for document transformation and accountability is provided. A set of transaction documents for a transfer of real property is received and the transfer is recorded via a multi-tier blockchain. The set of transaction documents is stored on a ledger associated with two or more supernodes in a tier of supernodes. A cryptographic hash of the set of transaction documents is provided to a different tier of nodes and stored on a ledger associated with each of the nodes in the different tier. A number of supernodes in the tier is larger than a number of the nodes in the different tier.

Abstract: A system for effective, efficient and controlled public disclosure of inventions, developments and/or discoveries for protecting patent rights includes a publicly accessible central server to which a public at large is connected via a global communication network. The publicly available central server is composed of an interface module through which either a member of the public at large or an inventor, patent applicant or patent assignee is guided to either a public disclosure module or a database module. The public disclosure module provides inventors, patent applicants, and patent assignees with the ability to upload their disclosure materials relating to their inventions, developments and/or discoveries for public access via the database module. Once the disclosure material is uploaded via the public disclosure module, disclosure of the invention, development and/or discovery is incorporated into the database module for access by the public at large.

Abstract: A networked school communication system is provided that includes a district server configured to manage at least one communication system located within a district location managed by the district server. This communication system includes at least one message board including a housing with a front face, a message board interface for receiving message board commands, and a plurality of lighting elements located at the front face of the housing and configurable by the message board commands received over the message board interface.

Abstract: An early warning method and system for a regional public security management in a smart city based on the IoT are provided. The early warning method includes: sending, based on a sensing network sub-platform, a monitoring image of a target region to the management sub-platform; processing, based on a management sub-platform, the monitoring image to determine a risk index of the at least one target region; generating early warning information in response to the risk index of the target region greater than a first threshold, and sending the early warning information to the user platform through a general database of the management platform and the service platform; and obtaining a management instruction based on the user platform, and controlling, according to the management instruction, an unmanned aerial vehicle to go to the target region for monitoring.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to delivering merchandise using autonomous ground vehicles (AGVs) in cooperation with unmanned aerial vehicles (UAVs). In some embodiments, the system includes: an AGV having a motorized locomotion system, a storage area to hold merchandise, a sensor to detect obstacles, a transceiver, and a control circuit to operate the AGV; a UAV having a motorized flight system, a gripper mechanism to grab merchandise, a transceiver, an optical sensor to capture images; and a control circuit to operate the UAV. In some forms, the system may include a control circuit that instructs movement of the AGV along a delivery route; determines if the AGV has stopped due to an obstacle; and in certain circumstances, instructs the UAV to retrieve merchandise from the AGV, calculates a delivery route for the UAV to the delivery location, and instructs the UAV to deliver the merchandise.

Abstract: Embodiments of this application provide a watermark embedding method applicable to a three-dimensional (3D) field. By combining vertex data of an original 3D model and vertex data of a 3D watermark, and combining material data of the original 3D model and material data of the 3D watermark, the original 3D model and the 3D watermark can be synthesized into a 3D model. In addition, before and after watermark embedding, an appearance of the original 3D model can remain unchanged. This avoids impact of watermark embedding on the appearance and use value of the 3D model, and ensures a display effect of the 3D model. Further, a function of encrypting the embedded 3D watermark may be implemented, and the 3D watermark cannot be easily removed or modified. This can effectively ensure the copyright of the original 3D model, and better promote a digital asset such as the 3D model.

Abstract: Apparatuses including general-purpose graphics processing units and graphics multiprocessors that exploit queues or transitional buffers for improved low-latency high-bandwidth on-die data retrieval are disclosed. In one embodiment, a graphics multiprocessor includes at least one compute engine to provide a request, a queue or transitional buffer, and logic coupled to the queue or transitional buffer. The logic is configured to cause a request to be transferred to a queue or transitional buffer for temporary storage without processing the request and to determine whether the queue or transitional buffer has a predetermined amount of storage capacity.

Abstract: A method for graphics processing. The method including rendering graphics for an application using a plurality of graphics processing units (GPUs). The method including dividing responsibility for the rendering of geometry of the graphics between the plurality of GPUs based on a plurality of screen regions that are interleaved, each GPU having a corresponding division of the responsibility which is known to the plurality of GPUs. The method including assigning a GPU a piece of geometry of an image frame generated by an application for geometry pretesting. The method including performing geometry pretesting at the GPU to generate information regarding the piece of geometry and its relation to each of the plurality of screen regions. The method including using the information at each of the plurality of GPUs when rendering the image frame.

Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU or a CPU. The apparatus may obtain visibility information for a set of primitives in at least one frame associated with the graphics processing, where the at least one frame includes a plurality of bins, such that at least one bin of the plurality of bins includes at least one primitive of the set of primitives. The apparatus may also configure a density map based on the visibility information for the set of primitives, where the density map includes density data associated with an amount of the set of primitives in each of the plurality of bins. Further, the apparatus may map the density data for each of the plurality of bins to a shading rate for each of the plurality of bins.

Abstract: An image signal processor includes a line interleaving controller and an image signal processor core. The line interleaving controller receives a plurality of image data lines included in an image frame, generates one or more virtual data lines corresponding to the image frame, and outputs the plurality of image data lines and the virtual data lines sequentially line by line. The image signal processor core includes at least one pipeline circuit. The pipe line circuit includes a plurality of processing modules serially connected to sequentially process data lines received from the line interleaving controller. The line interleaving controller processes one or more end image data lines included in an end portion of the image frame based on the virtual data lines. Interference or collision between channels is reduced or prevented by processing the end image data lines in synchronization with the virtual data lines.

Abstract: A hybrid ray tracing system includes: a processor; and memory including instructions that, when executed by the processor, cause the processor to: identify a subset of pixels of an image to be ray-traced based on variable rate shading (VRS) screenspace image data; set, based on the VRS screenspace image data, one or more material properties of at least one object corresponding to the subset of pixels; and perform ray-tracing for the subset of pixels to generate a ray-traced image. The ray-tracing includes performing a limited ray casting process based on the set one or more material properties.

Abstract: An apparatus includes at least one memory configured to store an AI network and at least one processor. The at least one processor is configured to generate a dead leaves model. The at least one processor is also configured to capture a ground truth frame from the dead leaves. The at least one processor is further configured to apply a mathematical noise model to the ground truth frame to produce a noisy frame. In addition, the at least one processor is configured to train the AI network using the ground truth frame and the noisy frame.

Abstract: Systems, apparatuses and methods may provide for technology that determines a stencil value and uses the stencil value to control, via a stencil buffer, a coarse pixel size of a graphics pipeline. Additionally, the stencil value may include a first range of bits defining a first dimension of the coarse pixel size and a second range of bits defining a second dimension of the coarse pixel size. In one example, the coarse pixel size is controlled for a plurality of pixels on a per pixel basis.

Abstract: A system and method for image reconstruction are provided. A first region of an object may be determined. The first region may correspond to a first voxel. A second region of the object may be determined. The second region may correspond to a second voxel. Scan data of the object may be acquired. A first regional image may be reconstructed based on the scan data. The reconstruction of the first regional image may include a forward projection on the first voxel and the second voxel and a back projection on the first voxel.

Abstract: A system includes a storage device storing a set instructions and a processor in communication with the storage device, wherein when executing the set of instructions, the processor is configured to cause the system to obtain raw data. The processor may also be configured to cause the system to determine one or more reconstruction-related algorithms and determine one or more containers for the one or more reconstruction-related algorithms. Each of the one or more containers may correspond to at least one of the one or more reconstruction-related algorithms. The system may also be configured determine a reconstruction flow based on the one or more containers and process the raw data according to the reconstruction flow to generate a target image.

Abstract: A method is disclosed for generating an image. An embodiment of the method includes detecting a first projection data set via a first group of detector units, the first group including a first plurality of first detector units, each having more than a given number of detector elements; detecting a second projection data set via a second group of detector units, the second group including a second plurality of second detector units, each including, at most, the given number of detector elements; reconstructing first image data based on the first projection data set; reconstructing second image data based on the second projection data set; and combining the first image data and the second image data. A non-transitory computer readable medium, a data processing unit, and an imaging device including the data processing unit are also disclosed.

Abstract: Techniques for rendering two-dimensional vector graphics are described. The techniques include using a central processing unit to generate tessellate triangles along a vector path in which each of the tessellate triangles is represented by a set of vertices. From the tessellate triangles, an index buffer and a compressed vertex buffer are generated. The index buffer includes a vertex index for each vertex of each of the tessellate triangles. The compressed vertex buffer includes a vertex buffer entry for each unique vertex that maps to one or more vertex indices of the index buffer. The index buffer and the compressed vertex buffer are provided to a graphics processing unit to render the vector path with anti-aliasing.

Abstract: This disclosure relates to the fields of applied meteorology, in particular to a visualization analysis method of the tropical cyclone forecast verification index data, which comprises the following steps: acquiring tropical cyclone data; obtaining a track forecast verification index and an intensity forecast verification index of the tropical cyclone with the tropical cyclone data; obtaining a visible view of the tropical cyclone track forecast error and a visible view of the tropical cyclone intensity forecast error according to the track forecast verification index and the intensity forecast verification index, and in combination with the geographic information of the tropical cyclone; obtaining a first error and a second error according to the track forecast verification index, and obtaining a joint distribution map of the first error and the second error by using the first error and the second error; obtaining a composite box-shaped histogram through the intensity forecast verification index.

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for generating a composite image comprising objects in positions from two or more different digital images. In one or more embodiments, the disclosed system receives a sequence of images and identifies objects within the sequence of images. In one example, the disclosed system determines a target position for a first object based on detecting user selection of the first object in the target position from a first image. The disclosed system can generate a fixed object image comprising the first object in the target position. The disclosed system can generate preview images comprising the fixed object image with the second object sequencing through a plurality of positions as seen in the sequence of images. Based on a second user selection of a desired preview image, the disclosed system can generate the composite image.

Abstract: Systems and methods for obscuring images and/or text during a screen sharing operation in a video conferencing session are described herein. In some embodiments, a client device detects a screen sharing operation. As part of the screen sharing operation, the client device captures an image of a display. The client device recognizes images and/or text in the image of the display and determines whether any of the images and/or text are restricted. If the images and/or text are determined to be restricted, the client device obscures the images and/or text prior to encoding of the image of the display for transmission.

Abstract: A computer-implemented image manipulation apparatus and method (200) configured to receiving an input image (202) and a desired style. The method can obtain a representation (204) of the input image selected from a plurality of stored representations of a plurality of images, wherein each said representation comprises data describing a set of image features. The method can modify image features in the obtained representation to correspond to the input image and/or the desired style to produce a modified representation (207), and render a reference image (209) based on the modified representation. A manipulated image is generated by performing a style transfer operation (210) on the input image using the rendered reference image. Embodiments may access a data store to find a group of stored images based on similarity between image content descriptors of groups of stored images and those of an input image to retrieve a stored reference image.

Abstract: In an embodiment, a textual description of a situation of a first user is received. A first set of vector embeddings is determined based on the textual description. A set of ethical texts is received based on an input from a second user. A second set of vector embeddings is determined based on the set of ethical texts. A set of antonym words and a set of synonym words are determined with respect to the first set of vector embeddings, based on the second set of vector embeddings. A set of sentences is determined based on the set of antonym words and the set of synonym words. A first sentence is selected from the set of sentences based on parts-of-speech in each sentence. By using a GAN model, an image is generated based on the first sentence. The image is rendered on a display device associated with the second user.

Abstract: A learning apparatus for image generation includes a preprocessing module configured to receive text for image generation and generate a sentence feature vector and a word feature vector from the received text, a first generative adversarial network (GAN) configured to receive the sentence feature vector from the preprocessing module and generate an initial image based on the received sentence feature vector, and a second generative adversarial network configured to receive the word feature vector generated by the preprocessing module and the initial image generated by the first generative adversarial network and generate a final image based on the word feature vector and the initial image.

Abstract: A method for generating visual feedback based on a textual representation comprising obtaining and processing a textual representation, identifying at least one textual feature of the textual representation, assigning at least one feature value to the at least one textual feature, and generating visual feedback based on the textual representation. The generated visual feedback comprises at least one visual feature corresponding to the at least one textual feature. A system for generating visual feedback based on a textual representation, comprising a capturing subsystem configured to capture the textual representation, a processing subsystem configured to identify at least one textual feature and to generate visual feedback based on the textual representation, and a graphical user output configured to display the generated visual feedback. The visual feedback generated based on the textual representation comprises at least one visual feature corresponding to the at least one textual feature.

Abstract: A system and method for determining an absolute position of an object in an area is presented. The system includes a server having a processor, and a plurality of camera nodes coupled to the server. Each node includes a camera that acquires images of the object and area. The server receives image data from a camera, detects the object within an approximate location by image analysis techniques, and determines a relative position of the object in pixel coordinates. The processor then detects stationary markers proximate to the relative location of the object, determines an absolute position of the detected markers relative to known markers to define an absolute position of the marker, and determines an absolute location of the object in relation to the absolute location of the detected marker. This absolute position of the object is provided to an official to accurately locate the object in the area.

Abstract: Certain aspects and features of this disclosure relate to neural network based 3D object surface mapping. In one example, a first representation of a first surface of a first 3D object and a second representation of a second surface of a second 3D object are produced. A surface mapping function is generated for mapping the first surface to the second surface. The surface mapping function is defined the representations and by a neural network model configured to map a first 2D representation of the first surface to a second 2D representation of the second surface. One or more features of the a first 3D mesh on the first surface can be applied to a second 3D mesh on the second surface using the surface mapping function to produce a modified second surface, which can be rendered through a user interface.

Abstract: A system and method for performing intersection testing of rays in a ray tracing system. The ray tracing system uses a hierarchical acceleration structure comprising a plurality of nodes, each identifying one or more elements able to be intersected by a ray. The system makes use of a serial-mode ray intersection process, in which, when a ray intersects a bounding volume, a limited number of new ray requests are generated.

Abstract: A system includes at least one imaging sensor and a processor. The processor is configured to acquire detected data describing an environment of an autonomous vehicle using the imaging sensor; derive reference data which describes the environment from a predefined map; compute difference data representing a difference between the detected data and the reference data; and transfer the difference data, wherein an image computed based on the difference data and the reference data represents the detected data. Other embodiments are also described.