Digital Commons Network^™

Direct Coupling From An Asynchronous Machine To The Generator In A Hybrid Drivetrain, Konrad Hirschbeck

Defensive Publications Series

No abstract provided.

Dependence Between The Position Of A Continuously Extendable Table In A Door And The Opening Angle Of This Electrically Motorized Door, Konrad Hirschbeck

Defensive Publications Series

No abstract provided.

Application Of Step-Lap Joint Technology Of Grainoriented Iron Sheets In Rotors Of Permanent Magnet Synchronous Machines, Konrad Hirschbeck

Defensive Publications Series

No abstract provided.

Virtual Machine Images Preconfigured With Security Scripts For Data Protection And Alerting, Brandon Maltzman, Scott Tyler Ellis, Hauke Vagts, Jim Miller, Devon Beanish, Assaf Namer

Defensive Publications Series

Developers use interactive development environments (IDEs) to create and share documents that contain live code, equations, visualizations, narrative text, etc. as part of the artificial intelligence/ machine learning (AI/ML) development process. Virtual machines that run IDEs may have access to private and/or sensitive data used during model training or use. For data security and compliance, it is necessary to highlight and track the VMs that have been in contact with sensitive information. This disclosure describes techniques to automatically identify and label the presence of sensitive data in virtual machines and disks as part of machine learning. Custom VM images are …

Techniques For Feedforward Haptics Used With Wrist-Wearable Devices For Eyes-Free Target Acquisitions In Artificial-Reality Environments, And Systems And Methods Of Use, Yiran Zhao, Tanya Renee Jonker, Hrvoje Benko, Aakar Gupta, Naveen Sendhilnatha

Defensive Publications Series

Feedforward haptic feedback methods are described herein. One example method is performed while an artificial-reality user interface (UI) is presented with a target UI object, a background UI portion, and one other UI object. If a representation of a body part of the user on which the wearable device is worn is within the background UI portion, the method includes providing a first haptic feedback. If the representation of the body part of the user is over the one other UI object, the method further includes providing a second haptic feedback indicating that the representation of the body part is …

Artificial Intelligence Assisted Online Interactions, Harikrishna Mallisetty, Bhavikkumar Patel, Kolati Mallikarjuna Rao

Defensive Publications Series

Social media users benefit from a more personalized and interactive connection with public figures and others they engage with via social media. However, such engagement requires active effort from the public figure and can only occur when the celebrity is available for such sessions. This disclosure describes techniques, implemented with specific user permission, to train an artificial intelligence (AI) model based on user data of an individual or entity. The trained model can represent the individual’s personality and engage in online interactions on behalf of the individual or entity with users of a social media platform, a messaging/chat service, audio …

Blended Hdr-Sdr Operation, Chien-Hui Wen, Hsin-Hsueh Li

Defensive Publications Series

It is common in smartphone applications to have a window of HDR (high dynamic range) content against an SDR (standard dynamic range) background. Due to differences in supply voltages and refresh rates between HDR and SDR, luminance can be discontinuous at the HDR-SDR boundary, resulting in visual anomalies, flicker, and perceptual difficulties. This disclosure describes techniques to provide a smooth HDR-SDR transition during blended HDR-SDR operation. A raw gamma curve, e.g., as set by the display manufacturer, is recomputed such that a target luminance is met at a different refresh rate. A smooth SDR-HDR transition is obtained by applying the …

Fusing Voice And Gesture Input To Improve Text Transcription Accuracy, D Shin

Defensive Publications Series

While speech input, detected by on-device microphones, enables users to provide voice commands or other text at a higher speed than typing, the accuracy of transcription can suffer in certain environments, e.g., in the presence of background noise. Gesture input via a virtual keyboard is convenient but slower and also prone to errors, e.g., when a gesture resolves to multiple words. Per techniques of this disclosure, a user can provide spoken and gesture input at the same time to a user device. Each input is converted to text separately. The stereo text stream is time aligned using word-to-word distance to …

Privacy-Friendly Personalization Of Llm Responses Using Hashed Entity Injection, Keun Soo Yim

Defensive Publications Series

This disclosure describes techniques that enable a server-side large language model to provide personalized responses to user queries while protecting user personal data that is used in a request sent to the LLM from a user device. With user permission, entities from personal data stored locally on a user device are retrieved and hashed using a hash function at the local device. The hashed values are injected in a request sent to the LLM that is located in the cloud or other network location distinct from the local device. The LLM generates a response including one or more hashed values …

Novel Crystalline Forms Of 2-{3-[4-(1h-Indazol-5-Ylamino)-2-Quinazolinyl] Phenoxy}-N-(Propan-2-Yl) Acetamide Mesylate, Msn Laboratories Private Limited, R&D Center; Srinivasan Thirumalai Rajan, Sajja Eswaraiah, Vijayavitthal T. Mathad, Sagyam Rajeshwar Reddy, Keshavareddy Navin Kumar Reddy, Saladi Venkata Narasayya, Kammari Balraju, Kootikanti Krishnaiah And Manepalli Ushasri

Defensive Publications Series

The present disclosure relates to novel crystalline forms of 2-{3-[4-(1H-indazol-5-ylamino)-2-quinazolinyl]phenoxy}-N-(propan-2-yl) acetamide mesylate and their processes for the preparations thereof. 2-{3-[4-(1H-indazol-5-ylamino)-2-quinazolinyl]phenoxy}-N-(propan-2-yl) acetamide represented by the following structural formula-1, which is referred to as Belumosudil.

Formula-1.

Dynamic Payment Option Interface Based On Scanned Qr Code, N/A

Defensive Publications Series

Quick response (QR) codes enable customers to easily identify their digital payment identifier of a merchant to initiate a payment. A merchant may display multiple different QR codes associated with different merchant service providers. The presence of multiple QR codes that lead to different payment apps may prevent the user from making a payment using their preferred payment method, e.g., that provides rewards or other benefits. Receiving payments via multiple service providers can also prevent a merchant from receiving merchant benefits being offered by particular payment service providers. This disclosure introduces techniques that recognize that a QR code associated with …

Sensor-Encoded Generative Language Modeling For High Resolution Occupancy Sensing And Building Control, D Shin

Defensive Publications Series

Traditional techniques for generating indoor occupancy maps involve the use of a network of distributed sensors to determine occupancy and/or movement within a facility to derive actionable insights and inform automated control mechanisms. These approaches are constrained by their ability to provide only coarse and often binary data—essentially, determining whether someone is present at a location or not. A more sophisticated approach that can capture data on occupancy with both spatial and temporal details can enable finer control and more nuanced automation triggers. This disclosure describes a large occupancy model that extends large language model (LLM) techniques with an occupancy …

Crowdsourcing Feedback For Large Language Models By Granting Query Credits, Lois Smith, Benjamin Azose

Defensive Publications Series

Running large language models (LLMs) is expensive and therefore, service providers that provide access to LLMs impose rate limits or quotas. Also, while LLMs can be improved based on human feedback, hiring and training personnel to provide ratings to LLM responses can be expensive. This disclosure proposes providing users of LLM-powered chatbots or other experiences additional query credits in response to providing scores for LLM responses to one or more prior queries. The provided query can be the user's own prior query, a query from a testing system or developer, a query from another user (with specific user permission), etc. …

Universal App For Receiving Payment Notifications From Digital Payment Providers, Ankit Aggarwal

Defensive Publications Series

Merchants that receive digital payment notifications on a smartphone that is additionally used for other tasks may miss the incoming notification, may not have time to look at the notifications, or may not be able to verify payment receipt when the payment app is turned off or the smartphone loses connectivity. While dedicated speaker devices that provide audible notifications are available, these are proprietary, expensive, difficult to upgrade, and limited to a specific merchant account provider. This disclosure describes techniques that use a lightweight messaging protocol such as Message Queuing Telemetry Transport (MQTT) to provide enhanced digital payment notifications. A …

Converting Analog Objects Into Speakers Using Intelligent Hrtf Aware Panning, D Shin

Defensive Publications Series

While multiple smart devices may be present in a home environment and respond to spoken commands from a user, in current configurations, users can interact with only one smart device at a time. Based on detecting a spoken command from a user, a smart device that is close to the user’s current location within the home. generates and provides a response. This disclosure describes techniques that enable a user to provide a spoken command while facing or being near any object (an analog object or a non-smart device) in their surroundings, not necessarily a smart device, and to receive an …

Locating A Sound Source Using Single Microphone And Inertial Measurements, Pc Chuang, Uiliong (Will) Lau, Vincent Chung

Defensive Publications Series

Locating a sound source in an indoor environment, e.g., a noise source, is difficult just based on human listening. While acoustic cameras with multiple microphone arrays can be used to locate the sound source, such equipment is expensive and unsuitable for many use cases. This disclosure describes techniques to identify the location of a sound source using a single built-in microphone and inertial measurement unit (IMU) sensor on a user device. Device motion and velocity data is obtained from the IMU. A baseline is established by recording sound without user movement to determine the frequency domain of sound. The user …

Rendering Reverberations In Ambisonic And Surround Audio, Rajeev Nongpiur, Marcin Gorzel

Defensive Publications Series

Traditional approaches for rendering room reverberations for spatial audio inputs typically use large numbers of convolutions for higher order ambisonics, requiring a significant computation effort. This disclosure describes techniques to efficiently render room reverberations for ambisonic and surround audio inputs, enabling scene-based spatial audio rendering for ambisonic and surround audio in devices such as headsets, earphones, augmented reality (AR) glasses, etc. Dry (unprocessed) surround audio, ambisonic audio, or object-based surround sound input is processed to generate early reflections and late reverberations. The direct path, the early reflections, and the late reverberations are combined such that a listener using a headset …

Machine Learning Based Identification Of Trending Videos By Location And Topic, Joseph Johnson Jr., Quinn Thuy Tran

Defensive Publications Series

Video content discovery is important to provide user satisfaction to users of online video hosting/sharing and social media platforms. In some cases, such platforms may curate automatic playlists of popular videos. However, such playlists may not accurately reflect currently popular trends in particular regions. This disclosure describes the use of machine learning techniques to automatically analyze videos, including short form videos, to associate one or more locations to the video (e.g., creation location, popular-at locations, etc.) as well as to assign topics or categories to the video (e.g., dance type A, magic trick B, etc.). The topics may be discovered …

Device Name Personalization Using Generative Artificial Intelligence, Mike Digman

Defensive Publications Series

When multiple devices within a household or other location have same or similar names, it can be difficult for users to identify devices uniquely, e.g., for transferring files, or other device-to-device actions. Further, while users can include their name in the device name, some users may prefer to not disclose their names or may have multiple devices where such naming does not address the device identification problem. This disclosure describes the use of a large language model (LLM) or other type of generative artificial intelligence (gen AI) to automatically generate device names. The user of a device can provide input, …

Pressure Equalizing Manifold For Atomized Spray Bars, Luiz Augusto Leal Porto, Frank Su, Louis Mitchell Nazro, Haider Al-Turaihi

Defensive Publications Series

In view of the limitations of existing systems, described herein is a manifold for equalizing pressure/flow throughout a full length of cooling bars and nozzles (such as but not limited to atomizing spray bars). The manifold may reduce the traditional multiple connections (e.g., one connection per nozzle) down to one connection per manifold. The manifold described herein may provide improved reliability and maintainability, thereby providing savings in costs and downtime.

The Method To Discover The Requirements Of The Users Of The Client Computers Utilizing Broadcasting, Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a method to discover the requirements of the users’ of the client computers utilizing broadcasting. The method incorporates a collection of client computers whose users will have requirements for information, goods and services, a collection of requirement discovering servers and a collection of proxy servers which are allocated for the collection of requirement discovering servers. The collection of the requirement discovering servers will collect the requirements of the users of the client computers utilizing the collection of proxy servers which are allocated for the collection of the requirement discovering servers and by utilizing broadcast methodology.

Viewfinder Indicator For Augmented Reality Glasses, N/A

Defensive Publications Series

This disclosure describes techniques to provide a visual guide to a wearer of augmented reality (AR) glasses during AR camera use by the wearer. A viewfinder that is matched to the camera field of view is displayed on a display of the AR glasses. The viewfinder indicator is controlled to be visible or invisible via electrical activation. The viewfinder indicator is fully transparent when invisible with no impact on the user's view during normal wear without camera use. The on-glasses viewfinder indicator can enable a user to frame photos and/or video when using the camera of their AR glasses. Images …

Improved Eye Tracking With Hardware-Generated Multi-Polarized Images, Jamyuen Ko, Gordon Wan

Defensive Publications Series

Eye tracking is performed in augmented reality, virtual reality, or extended reality (AR/VR/XR) applications to determine the gaze direction of the user. However, eye tracking based on a captured image of the eye can be inaccurate when the image contains saturated pixels due to high reflection from the user’s eye. This disclosure describes techniques to generate multi-polarized images (images with different polarization angles) simultaneously. A metalens is provided in the imaging apparatus to generate multiple images with different polarization. The images are partitioned on the same sensor. The image that is relatively free of saturation can be used to perform …

Generating Inpainting For Gridlines For Immersive Image Viewing Experience, D Shin

Defensive Publications Series

Image grids, e.g., of photo thumbnails in a user interface, typically include unicolor (e.g., white or gray) gridlines for visually separating each thumbnail from its neighbors. This disclosure describes techniques to use image inpainting techniques to provide photo browsing user interfaces that provide an immersive, holistic viewing experience. The gridlines are inpainted by the application of generative artificial intelligence (AI) techniques. The entire N x M grid of thumbnails is divided into K local spaces. Generative inpainting of gridlines can be performed by considering the set of images within a given local space together with the previously inpainted edge of …

Personalized Mixed Reality Audio Using Audio Classification Using Machine Learning, Quinn Thuy Tran, Joseph Johnson Jr.

Defensive Publications Series

Traditional audio devices such as over-the-ear or in-ear headphones are limited in their ability to provide a personalized and engaging listening experience. When using such audio devices in a noisy environment, it can be difficult for a user to focus on the audio that is most important. This disclosure describes the use of mixed reality audio to enhance the listening experience via headphones, earbuds, or other audio devices during normal use. Machine learning techniques are used to modify the audio per user preferences, e.g., to focus the audio on a single person talking while the user is in a group, …

Predicted Binders For Madr From Machine Learning Applied To Affinity Screening Data, Anonymous

Defensive Publications Series

We used datasets from affinity screening to train machine learning models. The models were then used to rank compounds from commercially available compound collections to generate the following lists of predicted binders.

Service Id Management System And Method Thereof, Sahil Arora

Defensive Publications Series

The method (300) outlines a systematic approach for the efficient deployment and management of a Hadoop environment. The method emphasizes the use of a script to generate unique Service IDs, incorporating a buffer to preemptively generate IDs and mitigate the risk of system downtime during high demand. The integration of Service IDs with the Name Node avoids locking or blocking essential Hadoop operations and implementing batch processes strategically. Continuous monitoring of both the Service ID and the Hadoop cluster is done for immediate alerts related to discrepancies, failures, or performance issues. Version management is underscored to ensure atomic changes and …

A System For Multi-Level, Multi-Variate Embedding Framework For Risk Scoring, Hao Xu, Anurag Tangri, Chiranjeet Chetia

Defensive Publications Series

The present disclosure provides a novel system for multi-level multi-variate embedding framework for risk scoring. In the present disclosure, risk factors within each category are aggregated as one score using Level-1 embedding, while a global risk score is obtained using Level-2 embedding. The framework models different scores considering the interactive effects among different factors and scores. Also, any auxiliary variables that are important for global risk scoring can be easily integrated. The coefficients in multi-level embedding can be determined within one process based on historical data of user interested activities. A penalized loss is used to optimize the model structure …

Automatically Highlighting Browser Tabs Related To Current Tab, Karthik Srinivas, Ajay Prasad, Ramprasad Sedouram

Defensive Publications Series

Users that have a large number of open browser tabs can struggle to identify tabs that are relevant to their current task. While tab search functionality is available in some browsers, such functionality does not automatically identify relevant tabs. This disclosure describes a web browser that, with user permission, determines the user’s current context based on the currently active browser tab and automatically highlights other relevant tabs that are currently open. The content and metadata of browser tabs are analyzed, e.g., using on-device machine learning techniques, to identify the relevant tabs. The relevant tabs can be highlighted with different colors …

Approaches For Incorporating A Variety Of Metadata In Transformer Operation, Antonio Gulli, Afroz Mohiuddin, Samer Hassan

Defensive Publications Series

A plain transformer model typically leverages only one piece of metadata - position encoding - directly in the transformer model. The use of transformers typically involves expensive and complex external scaffolding before or after output generation to avoid issues such as hallucination, irrelevance, etc. This disclosure describes techniques to incorporate a variety of metadata types into the native architecture of transformer models. The additional signals can help avoid hallucinations, improve relevance, and minimize the need of expensive external scaffolding. Generalizing transformer operation to incorporate a diversity of metadata can be achieved in various ways such as adding a metadata embedding …