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Smart Calendar Manager, Yash Dave Jul 2024

Smart Calendar Manager, Yash Dave

Defensive Publications Series

This disclosure describes automatic smart calendar management techniques that enable users to effectively manage time by prioritizing focus times, which are contiguous blocks of uninterrupted time dedicated to individual tasks. The techniques enable automatic meeting scheduling and management for users in a manner that increases the available focus time and minimizes meeting time. Per the techniques, users can set weekly or daily parameters indicating minimum focus time and maximum meeting time. Users can also set a window starting at the present time during which no new meetings can be scheduled. The calendars of meeting invitees are analyzed with their permission …


Automatically Photo Library Folder Organization Using Photo Visual Semantics, D Shin Jul 2024

Automatically Photo Library Folder Organization Using Photo Visual Semantics, D Shin

Defensive Publications Series

Organizing photos into folders, albums, or other collections requires human input and is tedious. This disclosure describes the use of a large visual model and a large language model to automatically identify and recommend appropriate folders (or photo buckets) for photographs. With user permission, a photograph (in a user’s library) is provided as input to a large visual machine-learning model which generates a text summary of the photograph. The text summary is provided to a large language model (LLM) which is tasked with performing a semantic match of the text summary to (user-specified) folder names to generate recommendations to organize …


Qr Code Generation For Media Streaming Links, Kurt Wilms Jul 2024

Qr Code Generation For Media Streaming Links, Kurt Wilms

Defensive Publications Series

This publication describes systems and techniques for generating quick response (QR) codes based on URLs from video descriptions by a media streaming device. Described techniques may enable the dynamic generation of QR codes, generating graphical user interfaces (GUIs) with the QR codes as clickable visual elements, and providing the URLs to a secondary device. Aspects of the disclosure may include media platforms, media streaming, video streaming, affiliate links, websites, video channels, content creation, QR codes, web links, smart TVs, set-top boxes, streaming sticks, companion applications, interactable graphical user interfaces, social media platform, interactable user interface elements, and communications between computing …


Electric Vehicle Charging Testing Method And System, Christian Aabye, Alexandre Pierre Jul 2024

Electric Vehicle Charging Testing Method And System, Christian Aabye, Alexandre Pierre

Defensive Publications Series

An embodiment includes a method comprising: coupling a test simulation device comprising a plurality of testing protocols for a plurality of testing operational scenarios to test either an electric vehicle or a charging station; performing, by the test simulation device, the testing protocols; and outputting, by the test simulation device, test results in response to performing the testing protocols.


Method And System For Providing Actionable Suggestions Using Generative Artificial Intelligence (Genai), Sonny T. Truong, Abhinav Sharma, Oleg Umarov, Brandon Myers Jul 2024

Method And System For Providing Actionable Suggestions Using Generative Artificial Intelligence (Genai), Sonny T. Truong, Abhinav Sharma, Oleg Umarov, Brandon Myers

Defensive Publications Series

The present disclosure relates to a method and system for providing actionable suggestions using generative artificial intelligence (GenAI). The method comprises receiving an input from a database. The input indicates usage data associated with a web application on a user device. Thereafter, the method comprises analyzing the usage data based on context variables using a generative artificial intelligence (GenAI) model. Finally, the method comprises generating one or more actionable suggestions for user of the user device based on the analysis.


Ir Sensor In Hood For Cooking Assistance_Idf-08837, Paolo Markovina Jul 2024

Ir Sensor In Hood For Cooking Assistance_Idf-08837, Paolo Markovina

Defensive Publications Series

The present invention provides a method for monitoring the use of a cooking hob, including but not limited to: (a) obtention of multiple infrared images of the cooking hob; (b) multiple identification of individual cooking areas; (c) providing one or more predetermined responses where that cooking area deviates from its relevant criteria, such as setup temperature; (d) providing one or more predetermined responses associated to the hood based on the IR input; (e) further thermographic analysis to diagnose any deviation from its relevant criteria, such as reduction of any fire risk conditions, such as dry pot detection, (f) user presence …


A Mesh Tree Optimizer For Wi-Fi 8, Jerome Henry, Pascal Thubert, Jp Vasseur Jul 2024

A Mesh Tree Optimizer For Wi-Fi 8, Jerome Henry, Pascal Thubert, Jp Vasseur

Defensive Publications Series

Proposed herein is an artificial intelligence/machine learning (AIML) method to predict the goodput/throughout through a given mesh access point (MAP) for a wireless local area network (WLAN) that can be positioned at different possible spots in a mesh tree. The proposed method may communicate these predictions to MAPs and their clients, thus allowing the mesh tree to form (and reconfigure itself) into the most efficient structure. Further, the proposed method may allow clients to choose the MAP that will provide the best goodput/throughput for the mesh tree.


Using Orientation To Convey Alert Quantity, Daniel Q Erwin, Jessica Poole, Stephen Lowe Jul 2024

Using Orientation To Convey Alert Quantity, Daniel Q Erwin, Jessica Poole, Stephen Lowe

Defensive Publications Series

Vast amounts of data are presented to users in digital systems that generally require visualizations to simplify and provide more insights in a small number of pixels. This is crucial for targeting users who do not have the time or inclination to parse a large number of charts and graphs, but who want to understand what is happening with their digital systems. To solve this issue, proposed herein is a technique that relies on using the orientation of colored stripes to add a dimension of information to a large dataset, such as a health bar chart indicating alerts. The proposed …


Multi-Scale Local Contrast Enhancement For High Dynamic Range Tone Mapping, Kellie Shaw Jul 2024

Multi-Scale Local Contrast Enhancement For High Dynamic Range Tone Mapping, Kellie Shaw

Defensive Publications Series

A display utilizes virtual primary colors in image zones of a display to produce image colors in the respective zones. The display is broken into the plurality of image zones and then driven by creating a monochrome dynamic primary color per field in each zone. This can enable driving of multiple primary LEDs per frame and remapping of image content so as to dynamically optimize scenes for each frame.


Display System And Method For Updating Display With Out-Of-Order And Partial Image Updates, Kellie Shaw Jul 2024

Display System And Method For Updating Display With Out-Of-Order And Partial Image Updates, Kellie Shaw

Defensive Publications Series

A display system utilizes out-of-order row updates and partial display updates to update frame images. In such display update techniques, the display images aren’t simply updated in blocks. Rather, eye-tracking is utilized to determine which blocks to update and when to update them. In one example, eye-tracking is used to update display blocks as needed based on, for example, a user’s gaze direction. According to this system, not all display blocks would be updated along with every change in pixels dictated by an image feed.


Multi-Zone Display System With Fixed Foveal Viewing Region, Kellie Shaw Jul 2024

Multi-Zone Display System With Fixed Foveal Viewing Region, Kellie Shaw

Defensive Publications Series

A display system includes a fixed foveated display region and a peripheral display region that is distributed. The fixed foveated region can include any suitable type of display having a relatively high resolution. The fixed foveated region display may, for example, utilize a high-resolution projector and display tile, such as a liquid crystal on silicon (LCOS) display with a diffraction grating, such as a volume Bragg grating (VBG) or surface relief grating (SRG). The fixed foveated display region is located in user’s foveal field-of-view (FOV) when mounted to their head and may additionally be large enough to encompass the foveal …


Super Multi-View Near-Eye Display With Led Array And Waveguide Illumination Module, Dongyeon Kim, Wai Sze Tiffany Lam, Seungjae Lee, Changwon Jang, Gang Li, Kiseung Bang Jul 2024

Super Multi-View Near-Eye Display With Led Array And Waveguide Illumination Module, Dongyeon Kim, Wai Sze Tiffany Lam, Seungjae Lee, Changwon Jang, Gang Li, Kiseung Bang

Defensive Publications Series

A near-eye display includes an array of light sources, a reflective spatial light modulator (SLM) synchronized with the array of light sources and configured to modulate and reflect incident light beams to generate images, display optics configured to project the images generated by the reflective SLM to a user’s eye, and a waveguide between the display optics and the reflective SLM, where the waveguide is configured to guide light beams emitted by the array of light sources and direct the light beams towards the reflective SLM to illuminate the reflective SLM


Dynamic Availability Of A Payment Limit Of A Payment Card For Enhanced Security, Alok Roy Jul 2024

Dynamic Availability Of A Payment Limit Of A Payment Card For Enhanced Security, Alok Roy

Defensive Publications Series

The present disclosure provides a dynamic payment limit platform 104. The disclosure proposes the platform 104 to collect transactional data, such as amount of transaction and time of the transaction associated with the payment cards. The platform 104 may further calculate card holder’s average transaction amount per day. The platform 104 may further generate a trend based on the average transactional data. The platform 104 may dynamically assign a fixed available limit for each day based on the trend and send an associated notification to the user.


Prevent Distributed Denial Of Service (Ddos) Attack And Prioritize Valid Users Using Multi Signature Security Reference (Mssr) Header, Gokul Anand Manimaran Jul 2024

Prevent Distributed Denial Of Service (Ddos) Attack And Prioritize Valid Users Using Multi Signature Security Reference (Mssr) Header, Gokul Anand Manimaran

Defensive Publications Series

The present disclosure relates to systems and methods for preventing distributed denial of service (DDOS) attack using multi signature security reference (MSSR) header. The system of the present disclosure may comprise determining, by the service providing system 102, that a site-specific Signed Security Reference (SSR) header may be issued to end user 210. Further, the system may comprise storing the SSR header in a file that corresponds to the MSSR header file. Furthermore, the system may comprise sending the MSSR header to web service 104 in subsequent calls. Thus, sending the MSSR header to the web service 104, may identify …


Attributing Low-Level Storage Costs To High-Level Storage Operations In Rpc Call Trees, Antonio Trapanese, Axel Freyn Jul 2024

Attributing Low-Level Storage Costs To High-Level Storage Operations In Rpc Call Trees, Antonio Trapanese, Axel Freyn

Defensive Publications Series

Machines within a distributed computing network have a low-level storage system that provides remote procedure call (RPC) access to read/write files to their local disk/flash memory storage. Distributed computing networks support a library that facilitates the extraction of data flows between clients and storage systems. Attributing low-level storage operations to higher-level semantic operations is difficult because, seen from low-level storage, RPC calls are agnostic of high-level storage. This disclosure describes techniques to accurately attribute low-level storage costs to high-level storage operations in RPC call trees by maximizing a Jaccard similarity coefficient between two lists, e.g., a list of ancestor spans …


Context-Aware Dynamic Content Modification For Enhanced Privacy, Ramprasad Sedouram, Bindiya Mutum, Karthik Srinivas, Harshita Passi, Gulmohar Khan, Ajay Prasad Jul 2024

Context-Aware Dynamic Content Modification For Enhanced Privacy, Ramprasad Sedouram, Bindiya Mutum, Karthik Srinivas, Harshita Passi, Gulmohar Khan, Ajay Prasad

Defensive Publications Series

In many contexts, a user needs to display on-screen content on their personal devices to others. In such situations, there is a concern regarding the potential exposure of personal information when others view the device screen. This disclosure describes techniques to automatically modify displayed content on a user device based on the context to provide a privacy-secure user experience that is seamless and enables users to display their device screens to third-parties. With user permission, data from various device sensors are analyzed, e.g., using on-device machine learning models, to automatically detect situations in which a device screen may be viewable …


Foldable Device Open/Fold State Detection Using Hall Sensor And Touch Ic, Hu-Chi Chang, Wendly Li, Chengliang Qian, Youngseok Oh, Premal Parekh Jul 2024

Foldable Device Open/Fold State Detection Using Hall Sensor And Touch Ic, Hu-Chi Chang, Wendly Li, Chengliang Qian, Youngseok Oh, Premal Parekh

Defensive Publications Series

A design goal for foldable devices is the reliable activation of the inner display of the device with low latency. Traditional techniques to determine the open/fold state of foldable displays include measurements of magnetic fields at display edges and of the hinge angle. However, these techniques are susceptible to external magnetic fields and can have unacceptable latency. This disclosure describes techniques to reliably activate the inner display of foldable devices with low latency and power consumption by using a Hall sensor (and/or accelerometer) to trigger a touch integrated circuit (TIC) into performing a mutual scan (MS). The Hall sensor initially …


Hidden Banking Card Verification Code, Emmanuel Grevin Jul 2024

Hidden Banking Card Verification Code, Emmanuel Grevin

Defensive Publications Series

The hereunder description propose a card on which the CVV code is absent. This CVV is only present into a software secure area into Secure Element, and could be a static or a dynamic data.

  • CVV Static will be only electrically personalized.
  • CVV Dynamic will be computed by the card Secure element
    • after a transaction, where the value could be based on the transaction data
    • or after some script processing received from issuer

The CVV value can only been retrieved by the end user using one of its contactless apparatus (a smartphone, a tablet, a smartwatch..).


Insert Key For Rapidly Finding And Inserting Content, Donny Reynolds, Vicky Shen Jul 2024

Insert Key For Rapidly Finding And Inserting Content, Donny Reynolds, Vicky Shen

Defensive Publications Series

Inserting information into content under development interrupts the workflow since context switching is necessary. This disclosure describes techniques to rapidly activate a user interface that enables a user to find information from multiple sources and to insert the information into content under development without switching context. The user interface, activated with the press of a key, enables finding and inserting a wide variety of content (emojis, files, media, locations, contacts, dates, web-links, one-time codes, etc.). With appropriate user permissions, the content can be surfaced using keyword search, recency signals, contextual relevance, etc., and/or can be AI-generated on-the-fly. The entire task …


Prs Tool Acessory For Malt Printers, Hp Inc Jul 2024

Prs Tool Acessory For Malt Printers, Hp Inc

Defensive Publications Series

The PRS (print to rib space) is the most critical printer mechanical parameter. Any issue affecting the PRS affects directly into the image quality (IQ).

Nowadays there is not an accessory on any platform that is able to measure the PRS on the field, following the same process as in the factory. Customers are not able to check or monitor the PRS status of their printers.

With a PRS tool integrated on the Printhead geometry, using Linear Variable Differential Transformers (LVDTs) and electronics that enable the communication with the printer, the customer can obtain the PRS map of their printers …


Effective Protein-Protein Interaction Exploration With Ppiretrieval Jul 2024

Effective Protein-Protein Interaction Exploration With Ppiretrieval

Defensive Publications Series

Protein-protein interactions (PPIs) are crucial in regulating numerous cellular functions, including signal transduction, transportation, and immune defense. As the accuracy of multi-chain protein complex structure prediction improves, the challenge has shifted towards effectively navigating the vast complex universe to identify potential PPIs. Herein, we propose PPIretrieval, the first deep learning-based model for protein-protein interaction exploration, which leverages existing PPI data to effectively search for potential PPIs in an embedding space, capturing rich geometric and chemical information of protein surfaces. When provided with an unseen query protein with its associated binding site, PPIretrieval effectively identifies a potential binding partner along with …


Graph Neural Networks Do Not Always Oversmooth Jul 2024

Graph Neural Networks Do Not Always Oversmooth

Defensive Publications Series

Graph neural networks (GNNs) have emerged as powerful tools for processing relational data in applications. However, GNNs suffer from the problem of oversmoothing, the property that the features of all nodes exponentially converge to the same vector over layers, prohibiting the design of deep GNNs. In this work we study oversmoothing in graph convolutional networks (GCNs) by using their Gaussian process (GP) equivalence in the limit of infinitely many hidden features. By generalizing methods from conventional deep neural networks (DNNs), we can describe the distribution of features at the output layer of deep GCNs in terms of a GP: as …


Operating System With Automatic End-To-End Encryption (E2ee) For User Content, Dave Kleidermacher Jul 2024

Operating System With Automatic End-To-End Encryption (E2ee) For User Content, Dave Kleidermacher

Defensive Publications Series

While end-to-end encryption (E2EE) can prevent access to user data by unauthorized parties, E2EE is supported by a limited set of applications. Retrofitting existing applications and services to support E2EE is expensive. This disclosure describes techniques that provide E2EE for user personal data across applications and services at the level of the operating system of a user device by automatic detection and/or manual specification of such content. With user permission, personal data is detected automatically by the operating system, e.g., using on-device machine learning or heuristics. When such data is detected, prior to sharing the data with another user, the …


Systems And Methods For Improved Image Stabilization, Ajit Ninan Jul 2024

Systems And Methods For Improved Image Stabilization, Ajit Ninan

Defensive Publications Series

A method for improved image stabilization may include shifting image data from a memory device integrated with a display device, where the image data represents motion of the display device and corresponds with a time of capture of the image data; analyzing the image data via a processor to determine a stabilization correction to apply to the image data, analyzing including, determining the stabilization correction to correct for a displacement of at least a portion of the image data; applying the determined stabilization correction to the image data stored in the memory device to achieve stabilized image data; and outputting …


Play Neuroball ! : Unleashing The Power Of Spherical Spiking Neural Networks, Renee Gagnon Jul 2024

Play Neuroball ! : Unleashing The Power Of Spherical Spiking Neural Networks, Renee Gagnon

Defensive Publications Series

This document presents a novel concept in artificial neural networks: the Spherical Spiking Neural Network (Spherical SNN). This approach combines the biological realism of spiking neural networks with a three-dimensional, spherical architecture that more closely mimics the structure of biological brains.


Defensive Publication: Single-Layer 256 Neuron Spike Neural Network With Standing Wave Activation, Renee Gagnon Jul 2024

Defensive Publication: Single-Layer 256 Neuron Spike Neural Network With Standing Wave Activation, Renee Gagnon

Defensive Publications Series

This defensive publication details the innovative design and implementation of a single-layer 256 neuron Spike Neural Network (Spike NN) employing shapelets and a standing wave method for neural activation. Spike Neural Networks, inspired by biological neural systems, utilize discrete spikes for information processing, enhancing energy and computational efficiency. In this approach, shapelets—small, local patterns within time series data—are integrated to provide a new dimension of pattern recognition and neural activation. The standing wave method introduces a novel mechanism where interference patterns between outward and inward waves create areas of sustained neural activation. This model not only mimics the complex dynamics …


Patterning Methods For 3d Liquid Crystal Polarization Hologram Optical Elements, Kellie Shaw Jul 2024

Patterning Methods For 3d Liquid Crystal Polarization Hologram Optical Elements, Kellie Shaw

Defensive Publications Series

A method of forming a 3D liquid crystal polarization hologram optical element includes irradiating a liquid crystal composition with linearly polarized light, polymerizing the liquid crystal composition, and aligning liquid crystal polymers within the liquid crystal composition along predetermined orientations, where the aligning includes a process selected from point-by-point patterning, slit-by-slit patterning, layer-by-layer patterning, and volumetric patterning.


Reducing Internal Electronic Noise In Electronic Devices, Shengyin Ding, Mike Derer Jul 2024

Reducing Internal Electronic Noise In Electronic Devices, Shengyin Ding, Mike Derer

Defensive Publications Series

This publication describes systems and techniques to reduce internal electronic noise in electronic devices. In aspects, an electronic device includes one or more microphones that are mounted to a surface of an internal structure and a fastener assembly having a screw, an isolation bracket, and a washer. The washer can be utilized at an interface between at least two hardware components in the electronic device, such as the screw, the isolation bracket, and/or the structure on which the one or more microphones are mounted. The washer can reduce electronic noises (“e-noise”) and vibrations commonly found in electronic devices and can …


Integration Of Dual Neural Networks In Game Engines Using Python Api And Socket Communication, Renee Gagnon Jul 2024

Integration Of Dual Neural Networks In Game Engines Using Python Api And Socket Communication, Renee Gagnon

Defensive Publications Series

This defensive publication describes a method for integrating dual neural networks, specifically a Spiking Neural Network (SNN) and a Long Short-Term Memory (LSTM) model, into game engines using Python API and socket communication. This approach enhances AI capabilities in first-person shooter (FPS) games by enabling real-time, dynamic behaviors in non-player characters (NPCs). The document outlines the architecture, implementation, and potential applications of this method, providing valuable insights for researchers and developers in the field of game AI.


Providing Property Search And Visualization Based On Traditional Architecture, Saravanan Theckyam Santhamoorthy, Hardeepsingh Jethra, Jital Patel Jul 2024

Providing Property Search And Visualization Based On Traditional Architecture, Saravanan Theckyam Santhamoorthy, Hardeepsingh Jethra, Jital Patel

Defensive Publications Series

Current real-estate search platforms do not enable users to match against traditional architectural guidelines (TAG) such as Vaastu or Feng Shui. This disclosure describes techniques that assess the TAG compliance of a particular property. A trained machine learning (ML) model accepts as input the type of TAG compliance, a floor plan of the property, a map of its surroundings, and, with user permission, personal preferences of the user. The model outputs a TAG compliance report, which can be in the form of a three-dimensional visualization of the property with virtual walkthrough features. As a user navigates the 3D visualization, they …