Abstract: A method and system for synthesizing smartphone cue-cards representing socio-technical system (STS) service design prototyping based on a plurality of constraints has been provided. The system creates just in time, a dynamic visual design for senior and junior designers for displaying of patterns as digital Cue Cards based on human configured time constraint and novelty constraints all the while avoiding repeatability for the designer. Smartphone is utilized as a mechanism to host multiple cue cards and an interaction model which allows multiple cue-card-connectedness to jump across constraints of local-maxima/minima towards a global-maxima/minima. The method allows young designers get access to better long term memory (LTM) and senior designer getting access to faster LTM. The present disclosure helps senior designer get faster access to new patterns to reduce time for novel new interventions.

Abstract: A method and system for identifying a fluid sample. The method may comprise disposing a fluid sampling tool into a wellbore. The fluid sampling tool may comprise at least one probe configured to fluidly connect the fluid sampling tool to a formation in the wellbore and at least one passageway that passes through the at least one probe and into the fluid sampling tool. The method may further comprise drawing a wellbore fluid as a fluid sample through the at least one probe and through the at least one passageway, obtaining a fluid measurement of the fluid sample, comparing the fluid measurement to a plurality of fingerprints that populate a database, and identifying the fluid sample based at least in part on one of the plurality of fingerprints.

Abstract: An exemplary embodiment may include a control hub configured to receive data from an emissions analyzer and a leak detection camera. The emissions analyzer may detect levels of various gases and relay such information to the control hub. In an exemplary embodiment, the emissions analyzer may purge after every test to ensure longevity and accuracy. A leak detection camera may implement quantifying optical gas imaging in order to continuously monitor for fugitive leaks on a compressor package. If a leak is detected, it may be logged and the user or an operating group may be alerted.

Abstract: A synthetic turf system is disclosed. The synthetic turf system comprises a synthetic turf system and a poured-in-place (PIP) rubber subsurface. The PIP rubber subsurface is poured with a mixture of rubber buffing and urethane configured to deliver improved safety, playability, and reduced maintenance requirements for the synthetic turf placed on a playing surface. The PIP rubber subsurface is made with rubber buffings combined with a binder such as polyurethane. The system further comprises a layer of compacted gravel disposed underneath the PIP rubber subsurface configured to allow drainage. The system further comprises a plurality of cooling particle infill to avoid dislodging of infill into athlete's shoes, clothes, eyes, or ears. Further, the infill is substantially free of crumb rubber infill and the system is without the use of added shock pads. Further, the system is configured to maintain a consistent concussion resistance throughout the entire playing surface.

Abstract: The present invention relates to a method and system for early detection of COVID-19. Existing methods require data from multiple sensors for training a prediction model whose output is considered as final prediction which is actually the prediction for a particular day or time instance. However, this prediction doesn't detect actual infection of COVID-19 since it requires monitoring the change in health of the user over consecutive days. Embodiments of present disclosure overcome these challenges by a prediction model for COVID-19 which requires only data from Photoplethysmography (PPG) sensor seamlessly collected from a wearable device still able to provide accurate COVID-19 prediction with application of a post processing technique on the predictions of the prediction model. Since COVID-19 symptoms have an effect on heartrate and oxygen saturation which are effectively captured by PPG sensor data, studying these dynamics during infection period gives insights to perform early detection of COVID-19.

Abstract: The present disclosure provides a model for deep learning based image feature extraction considering a range of useful negative features. Conventional methods are either considering only positive features or considering all negative features along with positive features which leads to bias in feature extraction. The present disclosure overcomes the problem of the conventional methods using a bounded Rectified Linear activation Unit (B-ReLU) activation function based Bounded-Rectifier Network (B-RectNet). Initially, the present disclosure receives an image pertaining to an object. Further, the received image is preprocessed to remove a plurality of anomalies associated with the image a preprocessing technique. Further, a plurality of image features are extracted based on the preprocessed image using a trained B-RectNet.

Abstract: Techniques to improve detection and security of images, including formation and detection of matrix-based images. Some techniques include logic to process image data, generate one or more colorspaces associated with that data, and perform colorspace conversions based on the generated colorspace. The logic may be further configured to generate an image based on the colorspace conversions, including but not limited to a matrix bar code. The logic may be further configured to apply one or both of an ultraviolet layer and an infrared layer to the image, e.g. matrix barcode, generated from the colorspace conversion(s). Other embodiments are described and claimed.

Abstract: This disclosure relates generally to identification and mitigation of bias while training deep learning models. Conventional methods do not provide effective methods for bias identification, and they require pre-defined concepts and rules for bias mitigation. The embodiments of the present disclosure train an auto-encoder to produce a generalized representation of an input image by decomposing into a set of latent embedding. The set of latent embedding are used to learn the shape and color concepts of the input image. The feature specialization is done by training an auto-encoder to reconstruct the input image using the shape embedding modulated by color embedding. To identify the bias, permutation invariant neural network is trained for classification task and attribution scores corresponding to each concept embedding are computed. The method also performs de-biasing the classifier by training it with a set of counterfactual images generated by modifying the latent embedding learned by the auto-encoder.

Abstract: A first entity and a classification for the first entity may be identified based on historical data, and a second entity and a classification for the second entity may be identified based on current data. An embedding for a first stored entity may be assigned to the first entity based on a match between the first entity and the first stored entity, and an embedding for a second stored entity may be assigned to the second entity based on a match between the second entity and the second stored entity. A similarity value for the first and second entities may be generated based on the embedding for the first entity being a seed for a nearest-neighbor search. The classification for the second entity may be classified as the classification for the first entity when the similarity value satisfies a threshold, and interaction with the second entity may be restricted based on the classification.

Abstract: Aspects described herein may relate to a transaction exchange platform using a streaming data platform (SDP) and microservices to process transactions in accordance with corresponding workflows. The transaction exchange platform may receive transactions from origination sources, which may be added to the SDP as transaction objects. Microservices on the transaction exchange platform may interact with the transaction objects based on configured workflows associated with the transactions. Further, the microservices may leverage machine-learning models to determine whether transaction objects may be more effectively processed using alternative or secondary workflows. Processing on the transaction exchange platform may facilitate clearing and settlement of transactions. Some aspects may provide for dynamic and flexible reconfiguration of workflows.

Abstract: At least some example embodiments relate to a container including a body and a lid. The body includes a base, a side wall, and an interior region at least partially defined by the base and the side wall. The lid includes a lid wall and a skirt that extends from a periphery of the lid wall. The skirt engages the body to retain the lid on the body. The skirt cooperates with the lid wall to define a cavity. The lid is formed from a laminate including a metal layer and a polymer layer coupled to the metal layer. The polymer layer is disposed inside of the metal layer with respect to the cavity. A portion of the body is disposed inside the cavity when the container is in a closed configuration. At least some example embodiments relate to a forming of manufacturing the lid.

Abstract: This disclosure addresses the unresolved problems of tackling object disambiguation task for an embodied agent. The embodiments of present disclosure provide a method and system for disambiguation of referred objects for embodied agents. With a phrase-to-graph network disclosed in the system of the present disclosure, any natural language object description indicating the object disambiguation task can be converted into a semantic graph representation. This not only provides a formal representation of the referred object and object instances but also helps to find an ambiguity in disambiguating the referred object using a real-time multi-view aggregation algorithm. The real-time multi-view aggregation algorithm processes multiple observations from an environment and finds the unique instances of the referred object.

Abstract: A system for using loyalty rewards accounts in a digital wallet may generate a mapping comprising an account mapped to a wallet token number and an indicator with the mapping stored in a database on a network of servers. The indicator may indicate an account type, and the wallet token number may be transmitted to a user device. The system may also receive a transaction request including a received wallet token number and a received indicator The indicator may be matched to the received indicator to determine the received wallet token number is associated with the account type (e.g., a loyalty rewards account). The system may route the transaction request to a loyalty settlement process in response to the account type being a loyalty rewards account.

Abstract: A method for detecting computer issues includes identifying a target computer system. A first set of data for a first time period relating an operating metric from the target computer system are received. The operating metric is stored. A second set of data for a second time period relating to the operating metric is received. The first and second sets of data are compared. A difference between the two sets of data is identified. If the difference between the two sets of data is within a range a warning notification is displayed in a graphical user interface. An input is received in the graphical user interface in response to the warning notification being displayed.

Abstract: A method includes receiving, by a server computer, data of a communication device; training, by the server computer, a neural network model based on the data of the communication device and communication device metadata from one or more additional communication devices, to generate a machine learning model configured to determine, based on a metadata associated with an application, a security value related to an indication of a security threat; and transmitting the machine learning model to the communication device. The communication device can use the machine learning model to determine the security value, by inputting the metadata associated with the application, as a vectorized data into the machine learning model. The communication device can determine whether to run or install the application based upon the security value.

Abstract: Systems and methods authenticate an end user of an enterprise with an external service provider. The enterprise comprises an identity provider and an entitlements data store that communicate via web services calls. The identity provider makes a determination of whether an end user is authorized to access the external service provider based on: (i) authentication of the end user by the identity provider; and (ii) data from the entitlements data store for the end user with respect to the external service provider. Upon a determination by the identity provider that the end user is authorized to access the external service provider, the identity provider send a SAML token to the end user. The SAML token comprises an XML representation of entitlement information for the end user for the external service provider.

Abstract: A tip device for an electronic vaping device may include a first conduit structure and a second conduit structure. The first conduit structure may be configured to direct a generated vapor through a first conduit. The second conduit structure may be configured to direct an air flow from an ambient environment through a second conduit. The second conduit structure may include an additive material on a surface of the second conduit structure, the additive material including an additive, the additive material configured to release the additive into the air flow directed through the second conduit. An interposing structure of the first conduit structure and the second conduit structure may physically isolate the additive material from the first conduit, such that the additive material is configured to release the additive into the air flow directed through the second conduit independently of the generated vapor directed through the first conduit.

Abstract: This disclosure relates to a method and system for real time prediction of tire remaining useful life using a tire digital twin. Herein, the digital twin of the tire monitors a plurality of tires while accounting for runtime as well as parking operation of tires. During runtime, tire goes through multiple operational changes, therefore, the system is configured to estimate the operational changes. The estimation is done in the form of index, which is compared with the manufacturers' recommended value. Similarly, while vehicle is parked, tire still goes through changes which play an important role in its overall health, like, long pending wheel rotation can lead to flat spot. Tire inflation can change owing to cool down effect as well as uncontrolled natural leakages. Further, these parameter indexes are clubbed together to calculate the health index of the tire, which is used to estimate the tire's current remaining useful life.

Abstract: Aspects described herein may relate to methods, systems, and apparatuses that provide new capabilities for recommending purchases to a user based on the user's past purchasing history and the purchase history of others. A new descriptor referred to as “purchase embeddings” is disclosed, which are data records in a new multi-dimensional space for describing and tracking purchases of goods and services.

Abstract: Computer-implemented methods and systems are provided for automatically performing a task on a remote computer. During a registration stage, the system receives personal information of a human user, obtains an IP address and a device configuration for a computing device, and stores the personal information, IP address, and the device configuration in record in a database. The system receives a request to interact with a remote website to perform a task, the request including the personal information of the human user. The system then retrieves the record from the database using the personal information. The system creates a virtual machine based on the device configuration for the computing device, selects one of a geographically distributed set of proxy servers having an IP geographically address resembling the IP address for the computing device, and executes instructions causing the virtual machine to interact with the remote website using the proxy server to perform the task.