Abstract: A system receives a speech of a user that indicates a request. The system extracts a plurality of voice features from the speech. The system converts the speech into a plurality of binary digits. The system determines a first voice feature constant value associated with a first voice feature, where the first voice feature constant value is an average of the first voice feature. The system determines a second voice feature constant value associated with the second voice feature, where the second voice feature constant value is an average of the second voice feature. The system encrypts the plurality of binary digits using the first and second voice feature constant values, where the encrypted plurality of binary digits corresponds to a voice-based hash value. The system generates a new block in a blockchain network using the voice-based hash value.

Abstract: A system for resolving exceptions in requests determines that a request comprises an exception. The exception impeded processing the request to be granted or denied. The system determines a type of exception that indicates whether the exception is incomplete information, incorrect information, or previously-unknown information. The system generates a block in a blockchain network. Based on the stored details in the block, the type of exception is identified. Accordingly, the block is segregated for exception processing based on its exception type. The system stores the exception in the block. The system compares the request with user information previously provided by the user. The system determines a similarity score between the request and the user information. The system compares the similarity score with a threshold percentage. In response to determining that the similarity score exceeds the threshold percentage, the system determines that the exception can be resolved and resolves the exception.

Abstract: System(s) and method(s) for processing one or more real time data streams captured in a distributed computing environment. In accordance with the system(s) and method(s), a GUI may be provided that enables a user to design a GUI pipeline comprising multiple sub-systems executing logic associated with a plurality of applications. Each of the sub-systems in the pipeline may be configured with different parameters by the user using the GUI. Further, the user may configure to integrate the multiple sub-systems through the GUI. Further, the user may control and/or update the configuration of the logic, configuration of the parameters, and the integration of the multiple sub-systems through the GUI. The updating of the configuration is automatically notified to the running pipeline in real time. Further, the GUT facilitates to monitor performance of the running pipeline in real time.

Abstract: A system and method for facilitating reusability of distributed computing pipelines, initially, captures the distributed computing pipeline designed over a Graphical User Interface (GUI) of a first data processing environment associated with a stream analytics platform. Subsequent to the designing, the distributed computing pipeline may be stored in a repository. The distributed computing pipeline may be stored in a file with a predefined file format pertaining to the stream analytics platform. The system also maintains a repository of different versions of the distributed computing pipeline created by the first and second user. Upon storing the file, the file may be imported in a second data processing environment. After importing the file, the distributed computing pipeline may be populated over the GUI of the second data processing environment, thereby facilitating reusability of the distributed computing pipeline.

Abstract: A system and method for visualizing and updating a data analytics model using Graphical User Interface (GUI) is disclosed. The system is configured to receive an input file, from a user, storing a data analytics model. Based upon the input file, the system identifies the standard template, from a set of template, corresponding to a data analytics module of the input file. Further, the system is configured to display a graphical representation corresponding to the data analytics model based upon the standard template of the data analytics model, wherein the graphical representation comprises a set of elements corresponding to the data analytics model. Further, the system enables editing one or more elements from the set of elements of the graphical representation. Upon modification of the elements of graphical representation, the system enables updating the input file, thereby update the data analytics model using the GUI.

Abstract: The present disclosure relates to system(s) and method(s) for allocating and reserving one or more supervisors, to be used by a data processing pipeline associated with a tenant, of a real-time distributed processing platform, is disclosed. The system is configured to identify a set of supervisors corresponding to a set of computing machines of a real-time distributed processing platform. One the set of supervisors is identified, the system enables a primary user to assign a subset of supervisors from the set of supervisors to a tenant. Further, the enables a secondary user, corresponding to the tenant, to design a set of data processing pipelines in a workspace. Further, the system further enables assigning one or more supervisors from the subset of supervisors to each data processing pipeline from the set of data processing pipelines based on the inputs received from the secondary user.

Abstract: The present disclosure relates to system(s) and method(s) for registration of a custom component on a Stream Analytics Platform. The system is configured to receive a program file and one or more registration instructions corresponding to the custom component, from a primary user of the Stream Analytics Platform. Further, a program code may be extracted from the program file by parsing the program file. Further, the system is configured to register the program code as a registered custom component, on the Stream Analytics Platform based on the one or more registration instructions. Once registered, the registered custom component is available over a Graphical User Interface (GUI) of the Stream Analytics Platform. The system enables at least the primary user or a set of secondary users of the Stream Analytics platform to use the registered custom component, based on the one or more registration instructions, for designing a distributed processing pipeline.

Abstract: The present disclosure relates to system(s) and method(s) for registration of a custom component on a Stream Analytics Platform. The system is configured to receive a program file and one or more registration instructions corresponding to the custom component, from a primary user of the Stream Analytics Platform. Further, a program code may be extracted from the program file by parsing the program file. Further, the system is configured to register the program code as a registered custom component, on the Stream Analytics Platform based on the one or more registration instructions. Once registered, the registered custom component is available over a Graphical User Interface (GUI) of the Stream Analytics Platform. The system enables at least the primary user or a set of secondary users of the Stream Analytics platform to use the registered custom component, based on the one or more registration instructions, for designing a distributed processing pipeline.

Abstract: A system and method for visualizing and updating a data analytics model using Graphical User Interface (GUI) is disclosed. The system is configured to receive an input file, from a user, storing a data analytics model. Based upon the input file, the system identifies the standard template, from a set of template, corresponding to a data analytics module of the input file. Further, the system is configured to display a graphical representation corresponding to the data analytics model based upon the standard template of the data analytics model, wherein the graphical representation comprises a set of elements corresponding to the data analytics model. Further, the system enables editing one or more elements from the set of elements of the graphical representation. Upon modification of the elements of graphical representation, the system enables updating the input file, thereby update the data analytics model using the GUI.

Abstract: The present disclosure relates to system(s) and method(s) for allocating and reserving one or more supervisors, to be used by a data processing pipeline associated with a tenant, of a real-time distributed processing platform, is disclosed. The system is configured to identify a set of supervisors corresponding to a set of computing machines of a real-time distributed processing platform. One the set of supervisors is identified, the system enables a primary user to assign a subset of supervisors from the set of supervisors to a tenant. Further, the enables a secondary user, corresponding to the tenant, to design a set of data processing pipelines in a workspace. Further, the system further enables assigning one or more supervisors from the subset of supervisors to each data processing pipeline from the set of data processing pipelines based on the inputs received from the secondary user.

Abstract: A system and method for facilitating reusability of distributed computing pipelines is disclosed. The system captures the distributed computing pipeline designed over a Graphical User Interface (GUI) of a first data processing environment associated with a stream analytics platform. Subsequent to the designing, the distributed computing pipeline may be stored in a repository. The distributed computing pipeline may be stored in a file with a predefined file format pertaining to the stream analytics platform. The system also maintains a repository of different versions of the distributed computing pipeline created by the first and second user. Upon storing the file, the file may be imported in a second data processing environment. After importing the file, the distributed computing pipeline may be populated over the GUI of the second data processing environment, thereby facilitating reusability of the distributed computing pipeline.

Abstract: System(s) and method(s) for processing one or more real time data streams captured in a distributed computing environment. In accordance with the system(s) and method(s), a GUI may be provided that enables a user to design a GUI pipeline comprising multiple sub-systems executing logic associated with a plurality of applications. Each of the sub-systems in the pipeline may be configured with different parameters by the user using the GUI. Further, the user may configure to integrate the multiple sub-systems through the GUI. Further, the user may control and/or update the configuration of the logic, configuration of the parameters, and the integration of the multiple sub-systems through the GUI. The updating of the configuration is automatically notified to the running pipeline in real time. Further, the GUT facilitates to monitor performance of the running pipeline in real time.

Abstract: A method of forming a semiconductor structure comprises etching an anti-reflective coating on a substrate with a first plasma comprising bromine and oxygen; and etching a nitride layer on the substrate with a second plasma comprising bromine and oxygen.

Abstract: A method of making a semiconductor structure, comprises etching a nitride layer with a plasma to form a patterned nitride layer. The nitride layer is on a semiconductor substrate, a photoresist layer is on the nitride layer, and the plasma is prepared from a gas mixture comprising CF4 and CHF3 at a pressure of at least 10 mTorr.

Abstract: According to one embodiment, a method (100) may include forming a first insulating layer over a semiconductor substrate (step 102), forming a hard mask layer (step 104), and forming a photoresist etch mask having a thickness of less than about 4,000 angstroms (step 106). Such a reduced thickness may conventionally lead to uncontrolled etching and/or may require multiple steps to ensure feature formation. A method (100) may further include etching an opening through at least one half the thickness of the hard mask layer to form a hard mask (step 108) and etching through a first insulating layer without first removing a photoresist layer (step 110). Such etching can essentially consume a photoresist layer, however controllability can be maintained as etching may continue with a hard mask in place.

Abstract: A method of making a semiconductor structure, comprises etching a nitride layer with a plasma to form a patterned nitride layer. The nitride layer is on a semiconductor substrate, a photoresist layer is on the nitride layer, and the plasma is prepared from a gas mixture comprising CF4 and CHF3 at a pressure of at least 10 mtorr.

Abstract: A method and a system are provided for forming a borderless contact structure. In particular, a method is provided which includes using an inorganic anti-reflective coating layer as an etch stop to form a borderless contact structure. In some embodiments, the method may include patterning an interconnect line above an inorganic layer with anti-reflective properties and depositing an upper interlevel dielectric layer above the interconnect line. A trench may then be etched within the upper interlevel dielectric layer such that a borderless contact structure may be formed in contact with said interconnect line. Consequently, a semiconductor topography is provided, in such an embodiment, which includes an inorganic anti-reflective coating layer arranged below an interconnect line and a contact structure arranged upon the interconnect line. In some embodiments, a width of the contact structure may be greater than a width of the interconnect line.

Abstract: A method is provided for fabricating a device, which includes device components and spacings that may each have a final dimension that is smaller than a minimum dimension obtainable by a photolithography process used to form the device components. In particular, the method may include patterning an upper layer of the semiconductor topography using the photolithography process to form a device mask having dimensions substantially equal to or greater than the minimum dimension. The method may further include trimming the device mask and forming a semiconductor structure in alignment with the trimmed device mask. In addition, the method may include patterning the semiconductor structure to form device components and spacings therebetween. In general, patterning the semiconductor structure may include tapering a first layer of the semiconductor structure and removing an exposed portion of a second layer of the semiconductor structure.