Abstract: In the Iris based biometric recognition systems, iris needs to be segmented before comparison and hence iris segmentation is a crucial process in iris based biometric recognition systems. Existing techniques are unable to segment iris due to occlusions and require complex and time consuming algorithms to remove these occlusions. Other deep learning based solutions require precise annotations of the iris regions along with eyelids and eyelashes. The present disclosure initially generates polygons on the iris and pupil area using a pre-trained detection model. Internally covered vertices and externally exposed vertices of the generated polygons are computed to construct curvature of the iris region. A pupil region is generated by filtering the plurality of vertices lying inside pupil circle region from the plurality of externally exposed vertices. Further, a segmented iris image is generated by removing the pupil region from the input image based on the curvature of the iris region.

Abstract: A method and apparatus for lifting a process station from a processing module is described herein. The apparatus includes a lift assembly disposed on the processing module, a lift cage, and one or more guide pins. The lift assembly is disposed to be capable of reaching each of the process stations disposed within the processing module. The lift assembly is used for replacement and maintenance of the process stations and further enables the automated removal and placement of the process stations within the processing module. Maintenance methods enabled by the lift assembly are additionally disclosed herein.

Abstract: A method includes accessing, using at least one processor of an electronic device, a machine learning model. The machine learning model is a trained student model that is trained using audio samples in a plurality of accent types. The method also includes receiving, using the at least one processor, an audio input from an audio input device. The method further includes providing, using the at least one processor, the audio input to the trained student model. The method also includes receiving, using the at least one processor, an output from the trained student model including frame-level probabilities associated with the audio input. In addition, the method includes instructing, using the at least one processor, at least one action based on the frame-level probabilities associated with the audio input.

Abstract: Embodiments of the present disclosure relate to apparatus, systems and methods for substrate processing. A detachable substrate support is disposed within a processing volume of a processing chamber and the substrate support includes a substrate interfacing surface and a back surface. The pedestal hub has a supporting surface removably coupled to the substrate support. A hub volume of the pedestal hub includes temperature measuring assembly disposed therein positioned to receive electromagnetic energy emitted from the back surface of the substrate support. The temperature measuring assembly measures an intensity of the electromagnetic energy entering the assembly and generates intensity signals. An apparent temperature of the substrate is determined based on the intensity signals.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless communication device may configure a short-range wireless communication link for use by a first communication technology, wherein a configuration of the short-range wireless communication link includes a number of configured retransmission opportunities to support multiple coexistence transmission patterns associated with the first communication technology and a second communication technology. The wireless communication device may transmit, to another wireless communication device, a communication using at least one of the first communication technology and the second communication technology based at least in part on a selected coexistence transmission pattern, of the multiple coexistence transmission patterns. Numerous other aspects are described.

Abstract: Method of repairing a Ni-based alloy component are provided, along with the resulting repaired coated component. The method may include: spraying a plurality of particles onto a surface of the Ni-based alloy component to form a coating thereon. The plurality of particles comprises a mixture of Ni-based superalloy particles and Co-based superalloy particles. The particles are sprayed at a spray temperature that is less than a melting point of both the Ni-based superalloy particles and the Co-based superalloy particles. A repaired coated component may include: a Ni-based alloy component having a surface and a coating on the surface of the Ni-based alloy component. The coating comprises a plurality of deformed particles therein, with the plurality of deformed particles comprises 5% by weight to 80% by weight of a Ni-based superalloy and 20% by weight to 95% by weight of a Co-based superalloy.

Abstract: An apparatus for performing memory calibrations during a performance state change is disclosed. A memory controller is configured to convey a clock signal to a memory and includes a calibration control circuit configured to perform a plurality of calibrations of the clock signal during a change from a first one to a second one of a plurality of performance states, and a delay circuit configured to apply a delay to clock signal conveyed to the memory. In performing a one of the calibrations, the calibration control circuit is configured to convey, to the memory, a first command to begin a timing test that generates a count value indicative of a current voltage of the memory, receive the count value from the memory at a conclusion of the timing test, and cause the delay circuit to adjust, based on the count value, the delay applied to the clock signal.

Abstract: One or more computing devices, systems, and/or methods are provided. Shaded bid values may be determined and/or submitted to one or more auction modules for participation in auctions. Auction information including at least one of minimum bid values to win associated with the auctions, sets of features associated with the auctions, the shaded bid values associated with the auctions, unshaded bid values associated with the auctions, etc. may be stored in a database. A machine learning model may be trained using a loss function and/or the auction information to generate a first machine learning model with feature parameters associated with features. A bid request, indicative of a second set of features, may be received. The first machine learning model may be used to determine a shaded bid value for submission based upon one or more first feature parameters, of the feature parameters, associated with the second set of features.

Abstract: A non-transitory, processor-readable medium stores instructions that, when executed by a processor, cause the processor to retrieve, from a database associated with a cloud service, first resource configuration data associated with a first resource. The first resource is analyzed to produce first resilience data, and a second resource associated with the cloud service is identified based on an indication of a load balancer associated with the cloud service. Based on the authentication data and an indication of the second resource, a second API call is generated to retrieve, from the database, second resource configuration data associated with the second resource is also retrieved from the database. A second resource is analyzed based on the second resource configuration data to produce second resilience data. Based on the first resilience data and the second resilience data, an indication of a vulnerability hotspot and an indication of a resource mitigation are generated.

Abstract: A method of generating a trained trigger word detection model includes training an auxiliary model, based on an auxiliary task, to concentrate on one or more utterances and/or learn context of the one or more utterances using generic single word and/or phrase training data; and obtaining a trigger word detection model by retraining one or more final layers of the auxiliary model, which is weighted based on the auxiliary task, based on a trigger word detection task that detects one or more trigger words. The retraining uses training data specific to the one or more trigger words.

Abstract: A method of synchronously executing input/output operations (IOs) for a plurality of applications using a storage device with a file system includes the steps of: receiving a first write IO including an instruction to write first data at a first address of the file system; determining that, within a first range of the file system comprising the first address, there are no pending unmap IOs for deallocating storage space of the storage device from files of the plurality of applications; after determining that there are no pending unmap IOs within the first range, locking the first range to prevent incoming unmap IOs from deallocating storage space within the first range from the files of the plurality of applications; after locking the first range, writing the first data to the storage device at the first address; and after writing the first data, unlocking the first range.

Abstract: Shaded bid values may be determined and/or submitted to one or more auction modules for participation in auctions. Auction information including at least one of impression indications associated with the auctions, sets of features associated with the auctions, the shaded bid values associated with the auctions, etc. may be stored in a database. A machine learning model may be trained using the auction information to generate a first machine learning model with feature parameters associated with features. A bid request, indicative of a second set of features, may be received. The first machine learning model may be used to determine win probabilities and/or expected bid surpluses associated with multiple shaded bid values based upon one or more feature parameters, of the feature parameters, associated with the second set of features. A shaded bid value for submission may be determined based upon the win probabilities and/or the expected bid surpluses.

Abstract: A method and apparatus for substrate processing and a cluster tool including a transfer chamber assembly and a plurality of processing assemblies. Processing chamber volumes are sealed from the transfer chamber volume using a support chuck on which a substrate is disposed. A seal ring assembly is coupled to the support chuck. The seal ring assembly includes an inner assembly, an assembly bellows circumscribing the inner assembly, and a bellows disposed between the inner and outer platform. An inner ring is disposed between inner assembly of the seal ring assembly and the bottom surface of the support chuck. An outer ring disposed between the seal ring assembly and the lower sealing surface of the process chamber wall. The support chuck is raised to form an isolation seal between the processing chamber volume and the transfer chamber volume using the bellows, the inner ring, and the outer ring.

Abstract: Systems and methods for automated document processing for use in AI-augmented auditing platforms are provided. A system for determining the composition of document bundles extracts substantive content information and metadata information from a document bundle and generates, based on the extracted information regarding a composition of the document bundle. A system for validating signatures in documents extracts data representing a spatial location for respective signatures and generates a confidence level for respective signatures, and determines, based on location and confidence level, whether signature criteria are met. A system for extracting information from documents applies a set of data conversion processing steps to a plurality received documents to generate structured data, and then applies a set of knowledge-based modeling processing steps to the structured data to generating output data extracted from the plurality of electronic documents.

Abstract: Techniques are disclosed for automatically inferring software-defined network policies from the observed workload in a computing environment. The disclosed techniques include monitoring network traffic flow originating from network interfaces corresponding to containers that execute components of an application, recording details of a new network connection or a change in the existing network connection, obtaining information concerning the components of the application, identifying metadata for a component involved in the new network connection or the change in an existing network connection based on a comparison of the details of the new network connection or a change in the existing network connection and the information concerning the components of the application, generating a network policy for the component using at least the metadata for the component, and integrating the network policy for the component into a deployment package for the application.

Abstract: Techniques for providing heat load balancing in an autonomous bi-directional vehicle utilize a first coolant loop thermally coupled to a first drive motor and a first end of the autonomous bi-directional vehicle and a second coolant loop thermally coupled to a second drive motor and a second end of the autonomous bi-directional vehicle to exchange thermal energy. A conduit thermally couples the first coolant loop with the second coolant loop to allow transfer of the coolant in between. A controller is usable to increase an amount of thermal energy transferred between the first coolant loop and the second coolant loop based at least in part on a direction of travel of the autonomous bi-directional vehicle.

Abstract: A method and apparatus for lifting a process station from a processing module is described herein. The apparatus includes a lift assembly disposed on the processing module, a lift cage, and one or more guide pins. The lift assembly is disposed to be capable of reaching each of the process stations disposed within the processing module. The lift assembly is used for replacement and maintenance of the process stations and further enables the automated removal and placement of the process stations within the processing module. Maintenance methods enabled by the lift assembly are additionally disclosed herein.

Abstract: Described are novel DNAzyme constructs with porphyrin metalation activity, methods of making and using them, as well as methods of identifying novel DNAzymes and methods of modulating the activity of DNAzymes.

Abstract: Various implementations described herein are directed to a device having a skew cell architecture with multiple diffusion regions including P-type diffusion regions disposed between N-type diffusion regions. The device may have power rails including a voltage supply rail disposed between ground rails. The device may have poly-gate rails disposed between the ground rails. The poly-gate rails may be cut to provide an open space between at least one N-type diffusion region and at least one P-type diffusion region.

Abstract: An electrically powered portable self-contained climate controlled storage unit is provided to connect to and automatically share power with an external power source. The storage unit includes a rechargeable battery system and a controller to determine whether to direct power flow to or from the rechargeable battery system. Methods and systems are provided for actively coordinating charging of multiple electrically powered portable self-contained climate controlled storage units that are connected to the external power source.