Abstract: Systems and methods relate to auto-tagging of data in a data lake or a data storage. Generating a statistical summary of the data lake and interactively receiving data in a selected column of an exemplar data addresses an issue of efficiently and accurately auto-tagging data in a data lake. The present disclosure automatically generates a statistical summary of the data lake using a lightweight off-line processing. A graphical user interface interactively receives an exemplar data file with a selection of a column in the exemplar data file. A list of candidate data-tagging patterns is generated based on the statistical summary and updates the list by removing candidate data-tagging patterns that under-generalize the data. The present disclosure determines a data-tagging pattern by selecting a candidate data-tagging profile from the list based on having the least number of matching columns in the data lake.

Abstract: An integrated circuit includes a high-speed interface configured to communicate with a host system for debugging and a debug hub coupled to the high-speed interface. The debug hub is configured to receive a debug command from the host system as memory mapped data. The integrated circuit also includes a plurality of debug cores coupled to the debug hub. Each debug core is coupled to the debug hub by channels. The debug hub is configured to translate the debug command to a data stream and provide the data stream to a target debug core of the plurality of debug cores based on an address specified by the debug command.

Abstract: Systems and methods relate to auto-tagging of data in a data lake or a data storage. Generating a statistical summary of the data lake and interactively receiving data in a selected column of an exemplar data addresses an issue of efficiently and accurately auto-tagging data in a data lake. The present disclosure automatically generates a statistical summary of the data lake using a lightweight off-line processing. A graphical user interface interactively receives an exemplar data file with a selection of a column in the exemplar data file. A list of candidate data-tagging patterns is generated based on the statistical summary and updates the list by removing candidate data-tagging patterns that under-generalize the data. The present disclosure determines a data-tagging pattern by selecting a candidate data-tagging profile from the list based on having the least number of matching columns in the data lake.

Abstract: An aspect of the present disclosure facilitates performance of node management actions in a computing infrastructure having diverse node interfaces. In one embodiment, a configuration data is maintained, the configuration data specifying plugins designed to communicate with different node interfaces installed on the nodes of a computing infrastructure. The plugins are corresponding implementations of a common client interface. Upon receiving from the client application, via the common client interface, a management action to be performed on a desired node, the configuration data is inspected to identify a specific plugin corresponding to the node interface installed on the desired node. The node management action is then performed on the desired node using the identified specific plugin. Accordingly, the client application can be implemented agnostic to the specific node interfaces installed on a node.

Abstract: Techniques are described herein that are capable of performing metadata extraction based on resource attributes and user-defined policy and topology. A hierarchical resource-grouping construct, which is selected from hierarchical resource-grouping constructs in a user-defined hierarchical resource-grouping topology of a cloud computing service account, is registered by enumerating at least a subset of the constructs. The subset includes the selected construct and each other construct encompassed by the selected construct. Metadata is selectively extracted from the constructs that are included in the subset to provide extracted metadata based at least in part on one or more user-defined policies, which are assigned among the constructs that are included in the subset, indicating whether the metadata is to be extracted as a result of resources associated with the constructs included in the subset having specified attributes. A searchable catalog is generated that includes the extracted metadata.

Abstract: Systems and methods relate to auto-tagging of data in a data lake or a data storage. Generating a statistical summary of the data lake and interactively receiving data in a selected column of an exemplar data addresses an issue of efficiently and accurately auto-tagging data in a data lake. The present disclosure automatically generates a statistical summary of the data lake using a lightweight off-line processing. A graphical user interface interactively receives an exemplar data file with a selection of a column in the exemplar data file. A list of candidate data-tagging patterns is generated based on the statistical summary and updates the list by removing candidate data-tagging patterns that under-generalize the data. The present disclosure determines a data-tagging pattern by selecting a candidate data-tagging profile from the list based on having the least number of matching columns in the data lake.

Abstract: Depth estimation of images using deep learning methods is a wide range of application in Augmented Reality, 3D graphics and robotics. Conventional methods are supervised, which requires explicit ground truth depth information for training and the conventional unsupervised methods fails to provide a generalized solution. The present disclosure estimates accurate depth information and confidence map of a given monocular image in an unsupervised manner. A depth Neural Network receives a monocular image and predicts per-pixel depth map and a confidence map. The depth NN utilizes a negative exponential of photometric loss as ground truth information. The predicted confidence-map is further used to estimate per-pixel uncertainty map. The pose NN predicts a plurality of pose vectors between a plurality of the consecutive monocular images. Finally, the Bayesian inference module is computes the fused depth information and the fused uncertainty map.

Abstract: The water dispensing device of the present invention with the given flow path of water and the control circuit configured store at least two threshold TDS values XA and XB, wherein XA is a higher TDS value than XB; and to drain water from the treatment unit through the drain line, when TDS value sensed is higher than XA, and alternately when the sensed value of TDS is less than XB then direct water from the reject line into the first recycle line; it was seen that the TDS of the output water of the device was in a constant range and the device of the present invention also contributed to minimizing the wastage of water by allowing recycling of water through the reject line of the treatment unit.

Abstract: A diode and method of design the layout of the same having reduced parasitic capacitance is disclosed. In particular, the diode for providing fast response protection of an RF circuit from a high power noise event, such as an ESD, voltage spike, power surge or other noise is disclose. The parasitic capacitance in disclosed circuit is a greatly reduced compared to the prior art, thus significantly increasing the speed of the response to dissipate all high power noise events.

Abstract: A memory optimizer service can be used to provide adaptive memory optimization. The memory optimizer service can be executed on a thin client or other user device to detect when low memory conditions exist. When it detects a low memory condition, the memory optimizer service can obtain process memory information for processes executing on the thin client and use the process memory information to calculate a trim amount to apply to the working set of processes with the highest amount of private bytes in their working sets. These trim amounts can be proportional to the amounts of private bytes and in sum can equal a total desired reduction in memory consumption.

Abstract: A diode and method of design the layout of the same having reduced parasitic capacitance is disclosed. In particular, the diode for providing fast response protection of an RF circuit from a high power noise event, such as an ESD, voltage spike, power surge or other noise is disclose. The parasitic capacitance in disclosed circuit is a greatly reduced compared to the prior art, thus significantly increasing the speed of the response to dissipate all high power noise events.

Abstract: The disclosure relates to method and system for detecting and notifying actionable events during surveillance. The method may include receiving initial multi-modal inputs from a geo-location during surveillance, determining an incident of interest based on an analysis of the initial multi-modal inputs, and collecting additional multi-modal inputs from at least one access device corresponding to at least one person in the geo-location upon determination of the incident of interest. The method may further include determining the actionable event based on an analysis of the initial and the additional multi-modal inputs, and providing a notification of the actionable event to one or more appropriate authorities.

Abstract: A memory optimizer service can be used to provide adaptive memory optimization. The memory optimizer service can be executed on a thin client or other user device to detect when low memory conditions exist. When it detects a low memory condition, the memory optimizer service can obtain process memory information for processes executing on the thin client and use the process memory information to calculate a trim amount to apply to the working set of processes with the highest amount of private bytes in their working sets. These trim amounts can be proportional to the amounts of private bytes and in sum can equal a total desired reduction in memory consumption.

Abstract: The disclosure relates to method and system for detecting and notifying actionable events during surveillance. The method may include receiving initial multi-modal inputs from a geo-location during surveillance, determining an incident of interest based on an analysis of the initial multi-modal inputs, and collecting additional multi-modal inputs from at least one access device corresponding to at least one person in the geo-location upon determination of the incident of interest. The method may further include determining the actionable event based on an analysis of the initial and the additional multi-modal inputs, and providing a notification of the actionable event to one or more appropriate authorities.

Abstract: In an integrated circuit supporting complementary metal oxide semiconductor (CMOS) integrated circuits, latch-up immunity is supported by surrounding a hot n-well with an n-well strap spaced from the hot n-well by a specified distance in accordance with design rules. The n-well strap is positioned between the hot n-well and other n-well or n-type diffusion structures.

Abstract: In an integrated circuit supporting complementary metal oxide semiconductor (CMOS) integrated circuits, latch-up immunity is supported by surrounding a hot n-well with an n-well strap spaced from the hot n-well by a specified distance in accordance with design rules. The n-well strap is positioned between the hot n-well and other n-well or n-type diffusion structures.

Abstract: A substrate has an active area including first and second doped regions separated by portions of the substrate. Gates are located over the active area, each gate formed extending over a portion of the substrate separating adjacent first and second doped regions. A length of the doped regions is greater than other devices within the substrate that have a same gate oxide thickness. A first metallization layer has first electrical connectors between each of the first doped regions and a gate immediately adjacent thereto, and second electrical connectors connected to each of the second doped regions. A second metallization layer has a first electrical connector connected to each first electrical connector of the first metallization layer, and a second electrical connector connected to each second electrical connector of the first metallization layer, with the second electrical connector of the second metallization layer not overlapping the gates.

Abstract: The water dispensing device of the present invention with the given flow path of water and the control circuit configured store at least two threshold TDS values XA and XB, wherein XA is a higher TDS value than XB; and to drain water from the treatment unit through the drain line, when TDS value sensed is higher than XA, and alternately when the sensed value of TDS is less than XB then direct water from the reject line into the first recycle line; it was seen that the TDS of the output water of the device was in a constant range and the device of the present invention also contributed to minimizing the wastage of water by allowing recycling of water through the reject line of the treatment unit.

Abstract: A circuit includes a logic circuit and a driver. The driver includes a first NMOS having a gate coupled to the logic circuit and source coupled to a reference voltage, a PAD coupled to a drain of the first NMOS, and a driver protection circuit. The driver protection circuit includes a second NMOS having a drain coupled to the PAD through a capacitor, source coupled to the reference voltage, and gate coupled to a supply voltage, and a resistor coupled between the drain of the second NMOS and the bulk of the first NMOS. The supply voltage transitions low when an electrostatic discharge (ESD) event raises potential at the PAD with respect to either reference voltage or supply voltage such that the second NMOS turns off, resulting in isolation of the bulk of first NMOS from the reference voltage and coupling of the bulk to the PAD using the capacitor.

Abstract: Events and offers based on context is provided by determining an event based on a social media footprint, determining a group of people associated with the event based on the social media footprint, generating an offer based on the group of people and the event; and causing the offer to be displayed to at least one of the group of people.