Abstract: Methods and systems for providing a secure healthcare communication exchange platform. The methods and systems perform operations comprising: accessing a collection of data records from a plurality of sources, the collection of data records corresponding to a given entity; generating, based on the collection of data records, an aggregated representation of one or more conditions associated with the given entity; determining, based on the aggregated representation, that a given condition of the one or more conditions satisfies an outreach parameter; in response to determining that the given condition satisfies the outreach parameter, triggering an outreach event to communicate with the given entity; generating status information in the aggregated representation, the status information corresponding to the outreach event; and tracking the status information to establish a relationship between the given condition and the outreach parameter.

Abstract: Various embodiments of the present disclosure provide for accelerated segmentation for reverse engineering of integrated circuits. In one example, an embodiment provides for receiving an SEM image for an integrated circuit, performing filtering and binarization with respect to the SEM image, extracting information associated with filter sizes for the filtering, extracting signatures related to a distribution for background pixels and foreground pixels of the SEM image, extracting respective distance to mean signatures for the background pixels and the foreground pixels, and segmenting the SEM image based at least in part on the filter sizes and the respective distance to mean signatures to generate a segmented image for the integrated circuit.

Abstract: Systems and methods are configured to generate a frequency map representing a density of objects found in regions of a sample that may be used in setting parameters for imaging the regions. Various embodiments involve binarizing the pixels for a raw image of the sample to transform the image into binary data. Run-length encoded components are identified from the data for dimensions of the raw image. Each component is a length of a sequence of adjacent pixels found in a dimension with the same value in the binary data. A projection of the image is then generated from projection values for the dimensions. Each projection value provides a measure of the density of objects present in a dimension with respect to the components identified for the dimension. This projection is used to identify a level of density for each region of the sample from which the frequency map is generated.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, and computer program products for using an image of an integrated circuit (IC) including a plurality of cells to locate one or more target cells within the IC. Accordingly, in various embodiments, a footprint for each cell of the plurality of cells is encoded to transform the image of the IC into a two-dimensional string matrix. A string search algorithm is then applied on each encoded dopant region found in the two-dimensional string matrix using an encoded target layout cell to identify one or more candidate regions of interest within the image. Finally, a mask window is slid over each candidate region of interest while performing matching using match criteria to identify any target cells in the one or more target cells that are located within the candidate region of interest.

Abstract: A histogram-based method for auto segmentation of integrated circuit structures is disclosed. The method includes an auto-segmentation process/algorithm, which works on the histogram of the SEM image and does not try to model the noise sources or the features. The auto-segmentation process/algorithm extracts the number of peaks in the histogram from low magnification SEM images or SEM images not necessarily having high quality images, significantly simplifies the traditionally lengthy and expensive IC reverse engineering efforts. Hence, the size of the image does not affect the final segmentation. The auto-segmentation process/algorithm performs the steps of: extract a first histogram from the first SEM image; identifying boundaries of the plurality of structural elements in the IC based at least in part on an output of the first histogram; and auto-segmenting the first SEM image into the plurality of structural elements.

Abstract: Various embodiments of the present disclosure provide for accelerated segmentation for reverse engineering of integrated circuits. In one example, an embodiment provides for receiving an SEM image for an integrated circuit, performing filtering and binarization with respect to the SEM image, extracting information associated with filter sizes for the filtering, extracting signatures related to a distribution for background pixels and foreground pixels of the SEM image, extracting respective distance to mean signatures for the background pixels and the foreground pixels, and segmenting the SEM image based at least in part on the filter sizes and the respective distance to mean signatures to generate a segmented image for the integrated circuit.

Abstract: Methods and apparatus are provided for automatically extracting standard cells to form a standard cell library using raw multi-layer images of an IC. Accordingly, various embodiments involve: extracting the raw contact layer image from the raw multi-layer images; binarizing the raw contact layer image to generate a binarized contact layer image identifying a plurality of contact rows and a plurality of contact columns; determining a plurality of Vcc lines based on a subset of the plurality of contact rows having a periodic nature; extracting a plurality of binarized contact layer image strips from the binarized contact layer image; encoding each binarized contact layer image strip using feature vectors and column distance values; applying a model rule set to each encoded binarized contact layer image strip for detecting cell boundaries; extracting the standard cells based on the cell boundaries; and storing the extracted cells to form a standard cell candidate library.

Abstract: A histogram-based method for auto segmentation of integrated circuit structures is disclosed. The method includes an auto-segmentation process/algorithm, which works on the histogram of the SEM image and does not try to model the noise sources or the features. The auto-segmentation process/algorithm extracts the number of peaks in the histogram from low magnification SEM images or SEM images not necessarily having high quality images, significantly simplifies the traditionally lengthy and expensive IC reverse engineering efforts. Hence, the size of the image does not affect the final segmentation. The auto-segmentation process/algorithm performs the steps of: extract a first histogram from the first SEM image; identifying boundaries of the plurality of structural elements in the IC based at least in part on an output of the first histogram; and auto-segmenting the first SEM image into the plurality of structural elements.

Abstract: Methods and apparatus are provided for automatically extracting standard cells to form a standard cell library using raw multi-layer images of an IC. Accordingly, various embodiments involve: extracting the raw contact layer image from the raw multi-layer images; binarizing the raw contact layer image to generate a binarized contact layer image identifying a plurality of contact rows and a plurality of contact columns; determining a plurality of Vcc lines based on a subset of the plurality of contact rows having a periodic nature; extracting a plurality of binarized contact layer image strips from the binarized contact layer image; encoding each binarized contact layer image strip using feature vectors and column distance values; applying a model rule set to each encoded binarized contact layer image strip for detecting cell boundaries; extracting the standard cells based on the cell boundaries; and storing the extracted cells to form a standard cell candidate library.

Abstract: Systems and methods are configured to generate a frequency map representing a density of objects found in regions of a sample that may be used in setting parameters for imaging the regions. Various embodiments involve binarizing the pixels for a raw image of the sample to transform the image into binary data. Run-length encoded components are identified from the data for dimensions of the raw image. Each component is a length of a sequence of adjacent pixels found in a dimension with the same value in the binary data. A projection of the image is then generated from projection values for the dimensions. Each projection value provides a measure of the density of objects present in a dimension with respect to the components identified for the dimension. This projection is used to identify a level of density for each region of the sample from which the frequency map is generated.

Abstract: An electrical assembly includes a motor, a first switch, a second switch, a third switch, and a fourth switch. The first switch may be connected to a first contact of the motor, and/or the second switch may be connected to a second contact of the motor. The third switch may be connected to the first switch, and/or the fourth switch may be connected to the second switch. The first switch, the second switch, the third switch, and/or the fourth switch may be configured to switch the electrical assembly between a first state, a second state, and/or a third state. If the electrical assembly is in the first state, at least one of the first contact and/or the second contact of the motor may be connected to an open circuit, and/or the motor may be configured to rotate freely.

Abstract: An electrical assembly includes a motor, a first switch, a second switch, a third switch, and a fourth switch. The first switch may be connected to a first contact of the motor, and/or the second switch may be connected to a second contact of the motor. The third switch may be connected to the first switch, and/or the fourth switch may be connected to the second switch. The first switch, the second switch, the third switch, and/or the fourth switch may be configured to switch the electrical assembly between a first state, a second state, and/or a third state. If the electrical assembly is in the first state, at least one of the first contact and/or the second contact of the motor may be connected to an open circuit, and/or the motor may be configured to rotate freely.

Abstract: A system, device, and method for controlling a remotely-controlled device are disclosed. The remotely-controlled device control system could include one or more remotely-controlled devices; a controller comprised of a data collection module, at least one active module, at least one module description file (MDF), a robot description file (RDF) for each remotely-controlled device, and a processing unit (PU); at least one data source, and a marketplace. The PU may be configured to receive at least one active module; receive, for each received active module, input data of its associated MDF provided by the data collection module; generate, for each received active module, output data as a function of to the input data received by the processing unit, and provide the output data to a destination system.

Abstract: A system, device, and method for controlling a remotely-controlled device are disclosed. The remotely-controlled device control system could include one or more remotely-controlled devices; a controller comprised of a data collection module, at least one active module, at least one module description file (MDF), a robot description file (RDF) for each remotely-controlled device, and a processing unit (PU); at least one data source, and a marketplace. The PU may be configured to receive at least one active module; receive, for each received active module, input data of its associated MDF provided by the data collection module; generate, for each received active module, output data as a function of to the input data received by the processing unit, and provide the output data to a destination system.

Abstract: A system, device, and method for moving an autonomous vehicle (AV) are disclosed. The AV moving system could include the AV configured with one or more image capturing devices, and a processing unit (PU). The PU may be configured to receive input data representative of one or more selections of one or more predefined operational modes; receive image data representative of an image of one or more objects located in a scene outside of the AV; receive input data representative of a selection of an object; track the image of the selected object as a function of a visual tracking algorithm; generate output data as a function of the selection(s) of the predefined operational modes and the tracking of the image of the selected object; and send the output data to the AV via the datalink.

Abstract: Techniques for detecting localized changes in a distributed service based on aggregate device signals. Certain implementations may leverage a plurality of networked nodal devices to serve as an ad-hoc sensor network for detecting changes in a service provided to the nodal devices. For example, status changes at each nodal device indicative of a disruption in a service provided to the nodal device may be reported and utilized to diagnose regional or localized disruptions in a common service received by a large group of devices. In some implementations, the service provided to the nodal devices may be a distributed service, for example, electric power or Internet access. The device signals may include reports from or based on status changes of mobile devices or other network-enabled electronic devices, such as changes in battery-charging status or network-connectivity of the respective mobile device.

Abstract: A conversion system for use with a first monitoring system includes an interface module for receiving a plurality of hardware configuration settings associated with the first monitoring system and a conversion module coupled to the interface module for converting the plurality of hardware configuration settings into a plurality of software configuration settings for use in a second monitoring system. The plurality of hardware configuration settings are established to enable the first monitoring system to monitor the operation of a first machine, and the plurality of software configuration settings are established to enable the second monitoring system to monitor the operation of at least one of the first machine and a second machine.

Abstract: A gutter screen assembly in having a screen across the ends of channels that extend into a gutter to prevent large debris from being washed from the channels into the gutter. The screen may be fabricated of expanded metal with a solid peripheral edge or of numerous other materials and structures.