Abstract: A system and a method for a single sign-on (SSO) authentication process that enables digital communication between multiple entities. The system includes a server with one or more processors. These processors receive a first authentication request from a first entity to access a second entity, which employs a first authentication process. Based on the request, the processors generate a second authentication request corresponding to the second authentication process used by the second entity. The second authentication request is then communicated to the second entity. After receiving a first response from the second entity, the processors generate a second response corresponding to that first response. This second response is communicated back to the first entity. Upon validating the second response, the processors allow communication between the first and second entities.

Abstract: A system for data manipulation and management, the system comprising a data integration engine, a data acquisition module, a data transformation module, a data output module and a spark engine. The data integration engine is configured to receive a job specification, wherein the job specification comprises a set of instructions. The data acquisition module is configured to acquire a set of data from a database. The data transformation module is configured to transform the set of data based on the set of instructions defined in the job specification. The data output module is configured to store a transformed set of data to the database. The spark engine is configured to receive instructions from the data acquisition module, the data transformation module, and the data output module, wherein the data acquisition module, the data transformation module, and the data output module are configured to receive instructions from the data integration engine.

Abstract: A tank system having a tank container for filling with a fuel and having a sensor assembly for determining a current fuel quantity in the tank container, including a pressure sensor, and an air channel arranged at least in part inside the tank container and pneumatically connected at a first channel end to the pressure sensor, and the air channel is oriented in the direction toward a container bottom of the tank container at an open second channel end opposite the first channel end.

Abstract: Weather resistant thermoplastic ASA compositions comprising (A): 20 to 80 wt.-% of a polymer mixture (A) consisting of: 35 to 65 wt.-% graft copolymer GR1 (D50 of 55 to 170 nm), composed of: 40 to 80 wt.-% cross-linked C1 to C8 alkyl acrylate graft base G11 and 20 to 60 wt.-% SAN-copolymer graft shell G12; and 65 to 35 wt.-% SAN copolymer S1 (MVR 50 to 70 ml/10 min); (B): 5 to 35 wt.-% polymer mixture (B) consisting of: 35 to 65 wt.-% graft copolymer GR2 (D50 of 410 to 1000 nm), composed of: 40 to 80 wt.-% cross-linked C1 to C8 alkyl acrylate graft base G21 and 20 to 60 wt.-% SAN-copolymer graft shell G22; and 65 to 35 wt.-% SAN copolymer S2 (MVR 11 to 25 ml/10 min); (C): 10 to 40 wt.-% of at least one SAN copolymer (C) (MVR 11 to 70 ml/10 min); (D): 1 to 15 wt.-% EVA copolymer (D) (VA>25 wt.-%); are particularly useful e.g. in the automotive industry.

Abstract: A method for performing context-based analysis using a processor is disclosed. The method is initialized when the processor receives a first query from a first user on a first user device. Further, processor is configured to send the first query from the first user device using metadata from a database management system over a network. The sent first query is analyzed. The processor is configured to analyze the first query and determine a first context of the first query to generate a first user metadata based on the first context. Further, the processor is configured to identify the key performance indicators (KPIs) in the first user metadata using an intelligent visualization configuration. The processor is configured to use the intelligent visualization configuration to generate a first visual representation of the identified KPIs.

Abstract: The present disclosure discloses a system for content curation and collaboration. The system comprises a database arrangement configured to store an uncurated and/or a curated content and a data processing arrangement communicably coupled to the database arrangement. The data processing arrangement is configured to enable secured access of a user to the uncurated and/or the curated content stored in the database arrangement, identify at least one content relevant to the user from the uncurated and/or the curated content stored in the database arrangement based on at least one input received from the user, and provide the relevant content to the user in a desired format.

Abstract: The present disclosure describes a system and method of developing a search database for automated content curation. The processing arrangement is configured to store a plurality of slides related to one or more fields in the database arrangement, generate a plurality of thumbnails from the stored plurality of slides, extract a plurality of metadata from the plurality of thumbnails, wherein the plurality of metadata are extracted by processing the generated plurality of thumbnails through an optical character reader, store the extracted plurality of metadata into the search database, create an index comprising of associations between the plurality of slides, the plurality of associated metadata and the generated plurality of thumbnails, store the created index in the search database and curate content from the index of the search database based on the one or more search strings.

Abstract: Techniques that facilitate a dialogue system based on contextual information are provided. In one example, a system includes a contextual information component and a dialogue routing component. The contextual information component determines contextual information associated with a user identity based on a statement related to communication information received by a computing device associated with the user identity. The dialogue routing component generates a path traversal for a dialogue system based on the contextual information to facilitate generation of a response to the statement by the dialogue system.

Abstract: A computer-implemented method of voice-to-text tagging for transcription of a human voice signal by one of an automatic speech recognition system, or a natural conversation, includes generating a speech-to-text verbal transcript of the verbal vocalizations of an audio signal at a verbal timestamp of the audio signal. A voice-to-text non-verbal transcript of the one or more non-verbal vocalizations of the audio signal is generated at a non-verbal timestamp of the audio signal. The non-verbal transcript and the verbal transcript are combined to generate an enhanced transcript.

Abstract: A flexible computer architecture for performing digital image analysis is described herein. In some examples, the computer architecture can include a distributed messaging platform (DMP) for receiving images from cameras and storing the images in a first queue. The computer architecture can also include a first container for receiving the images from the first queue, applying an image analysis model to the images, and transmitting the image analysis result to the DMP for storage in a second queue. Additionally, the computer architecture can include a second container for receiving the image analysis result from the second queue, performing a post-processing operation on the image analysis result, and transmitting the post-processing result to the DMP for storage in a third queue. The computer architecture can further include an output container for receiving the post-processing result from the third queue and generating an alert notification based on the post-processing result.

Abstract: The present disclosure discloses a system for content curation and collaboration. The system comprises a database arrangement configured to store an uncurated and/or a curated content and a data processing arrangement communicably coupled to the database arrangement. The data processing arrangement is configured to enable secured access of a user to the uncurated and/or the curated content stored in the database arrangement, identify at least one content relevant to the user from the uncurated and/or the curated content stored in the database arrangement based on at least one input received from the user, and provide the relevant content to the user in a desired format.

Abstract: The present disclosure describes a system and method of developing a search database for automated content curation. The processing arrangement is configured to store a plurality of slides related to one or more fields in the database arrangement, generate a plurality of thumbnails from the stored plurality of slides, extract a plurality of metadata from the plurality of thumbnails, wherein the plurality of metadata are extracted by processing the generated plurality of thumbnails through an optical character reader, store the extracted plurality of metadata into the search database, create an index comprising of associations between the plurality of slides, the plurality of associated metadata and the generated plurality of thumbnails, store the created index in the search database and curate content from the index of the search database based on the one or more search strings.

Abstract: A computer-implemented method of voice-to-text tagging for transcription of a human voice signal by one of an automatic speech recognition system, or a natural conversation, includes generating a speech-to-text verbal transcript of the verbal vocalizations of an audio signal at a verbal timestamp of the audio signal. A voice-to-text non-verbal transcript of the one or more non-verbal vocalizations of the audio signal is generated at a non-verbal timestamp of the audio signal. The non-verbal transcript and the verbal transcript are combined to generate an enhanced transcript.

Abstract: One embodiment provides a method including receiving authoring conversational training data. A machine learning based conversational agent is trained with the conversational training data. The training includes: creating and storing example transcripts of user utterances, creating and storing example transcripts of agent utterances, sequencing utterance transcripts using the example transcripts of user utterances and the example transcripts of agent utterances, forming a corpus from the sequenced utterance transcripts, marking speech patterns that represent social actions from tagging the sequenced utterance transcripts, and forming a patterned corpus from the marked speech patterns.

Abstract: Techniques that facilitate a dialogue system based on contextual information are provided. In one example, a system includes a contextual information component and a dialogue routing component. The contextual information component determines contextual information associated with a user identity based on a statement related to communication information received by a computing device associated with the user identity. The dialogue routing component generates a path traversal for a dialogue system based on the contextual information to facilitate generation of a response to the statement by the dialogue system.

Abstract: One embodiment provides a method including receiving authoring conversational training data. A machine learning based conversational agent is trained with the conversational training data. The training includes: creating and storing example transcripts of user utterances, creating and storing example transcripts of agent utterances, sequencing utterance transcripts using the example transcripts of user utterances and the example transcripts of agent utterances, forming a corpus from the sequenced utterance transcripts, marking speech patterns that represent social actions from tagging the sequenced utterance transcripts, and forming a patterned corpus from the marked speech patterns.

Abstract: Determining audience engagement may be provided. First, an image may be received and a plurality of faces may be identified in the received image. Then position data and head pose data for each of the plurality of faces in the received image may be determined. Next, the plurality of faces may be separated into a plurality of clusters based upon the determined position data for each of the plurality of faces in the received image. For each of the plurality of clusters, a plurality of bins may be created where each bin corresponds to a non-overlapping range between a maximum pose data value and a minimum pose data value. Next, a bin count may be determined for each of the plurality of bins in each of the plurality of clusters and then an engagement value may be determined for each of the plurality of clusters based on the bin count.

Abstract: Determining audience engagement may be provided. First, an image may be received and a plurality of faces may be identified in the received image. Then position data and head pose data for each of the plurality of faces in the received image may be determined. Next, the plurality of faces may be separated into a plurality of clusters based upon the determined position data for each of the plurality of faces in the received image. For each of the plurality of clusters, a plurality of bins may be created where each bin corresponds to a non-overlapping range between a maximum pose data value and a minimum pose data value. Next, a bin count may be determined for each of the plurality of bins in each of the plurality of clusters and then an engagement value may be determined for each of the plurality of clusters based on the bin count.

Abstract: The invention relates to an image processing method and system for constructing composite image with extended depth of field. The composite image may be constructed from a plurality of source images of a scene stored in an image stack. The method includes aligning the images in the image stack such that every image in the image stack is aligned with other images in the stack, performing illumination and color correction on the aligned images in the image stack, generating an energy matrix for each pixel of each illumination and color corrected image in the image stack by computing energy content for each pixel, generating a raw index map that contains the location of every pixels having maximum energy level among all the images in the image stack, generating degree of defocus ma and constructing the composite image.

Abstract: A receiver circuit for estimating a state of an uplink channel between a wireless communication unit and a base station in a wireless communication system computes a conditioned Channel Impulse Response (CIR), the amount of conditioning being based on the noise present in the channel. A CIR and a Noise Variance are estimated from a Sounding Reference Signal received from the wireless communication unit. The estimated CIR is conditioned by comparing it with an adaptive threshold value selected from a look up table that lists threshold values against Noise Variance values. The threshold value further conditions the CIR to eliminate noise and interference. The conditioned CIR is converted into the frequency domain and used to provide a channel gain estimate which, together with noise estimates, is used to determine a Signal to Interference Noise Ratio (SINR) for the channel.