Digital Commons Network^™

Contextual Application Launcher For Smart Wearables, Xavier Benavides Palos, Aveek Purohit, Achin Kulshrestha

Defensive Publications Series

Smartglasses and head-mounted displays (HMD) are versatile. However, such devices have limited screen space when compared to smartphones, tablets, or laptops. A user interface model that is effective on larger displays does not work for the limited screen real estate of the smartglasses. This disclosure describes techniques that, with user permission, leverage world-facing sensors, ambient sensing, and contextual awareness of devices of the smartglass form factor to surface contextually relevant shortcuts to users. The user interface, referred to as a contextual launcher, guides users and eases their path to the likely most useful/relevant action or experience given their surroundings. A …

User Identity Microphone Control In Virtual Meetings, Dongeek Shin

Defensive Publications Series

A virtual meeting platform can determine whether to enable a participant’s microphone by determining a reference embedding for first-received participant voice data; determining a current embedding for second-received participant voice data; determining whether a difference between the reference embedding and the current embedding satisfies a distance threshold; and responsive to determining the difference between the reference embedding and the current embedding satisfies the distance threshold, instructing the participant’s client device to enable the participant’s microphone.

Concurrently Viewing And Interacting With Different Security-Related Data By Using Sub-Windows In A User Interface Of A Data Analytics Platform, Spencer Lichtenstein, Abu Wawda, Davide Schiera, Winnie Chai

Defensive Publications Series

A system for providing a system capable of concurrently viewing and interacting with different security-related data by using sub-windows in a user interface of a data analytics platform. In response to a query for a certain entity, the data analytics can obtain, from one or more computing resources, one or more different types of security-related data. Each type of security-related data can be presented in a respective sub-window on the user interface.

Establishing A Secure Sharing Environment Using Partial Cryptographic Keys, Salmaan Rashid

Defensive Publications Series

A system for establishing a secure sharing environment using partial cryptographic keys. The proposed system uses a complete cryptographic key divided into multiple partial keys and provided to two or more participants. The participants attest each TEE of the secure sharing environment desired for use and send, to each TEE, their respective partial key. Each TEE combines the received partial keys to generate the complete cryptographic key. Using the complete cryptographic key, the TEEs can securely communicate and share data with each other.

Interaction Personalization Based On Digital Proficiency Metrics, Usha Seetharaman

Defensive Publications Series

The variation in user skill level in interacting with software applications and devices presents a challenge in delivering user experiences that cater to diverse needs and abilities. User segmentation models that rely on metrics such as usage frequency and retention do not adequately reflect a user's actual digital proficiency. This disclosure describes a digital proficiency quotient (DPQ) that represents an individual's overall capability and comfort level within the digital realm. With user permission, DPQ is determined based on actual skill sets and behaviors based on data of user interaction with various software applications and devices. DPQ of user is used …

System, Method, And Computer Program Product For Identifying Latent Connections In Disjointed Systems, Anurag Tangri, Hao Xu, Sarah Morahan, Hasnain Razvi Mir Mohammed, Chiranjeet Chetia, Hammad Riaz

Defensive Publications Series

The present disclosure discloses systems, methods, and computer program products for identifying latent connections in disjointed systems. The system includes a processor configured to determine a first entity in a first network and determine a mapping between the first network and a second network. The processor is configured to identify a second entity in the second network corresponding to the first entity. The processor is configured to determine activity data of the second entity and generate a similarity score for another entity in the second network based on the activity data of the second entity. The processor is configured to …

Correlation Model To Isolate Transient Inter-Degree Fiber-Faults In Roadms, Anonymous

Defensive Publications Series

This disclosure introduces a site-level correlation model designed to isolate physical fiber faults—especially transient or intermittent breaks—in cascaded MPO (Multi-Fiber Push-On) cables within ROADM networks. The key innovation uses bi-directional power monitoring rather than pilot tones or specialized FIM (Fiber Interface Module) hardware. By correlating simultaneous Loss of Signal (LOS) events at multiple Rx ports with the corresponding Tx ports that remain active, the method reliably identifies actual physical cable or connector faults. A fault-counter mechanism further tracks repeated toggling events, enabling operators to prioritize specific cables for inspection or replacement. This passive, vendor-agnostic approach simplifies network infrastructure, reduces unnecessary …

Wired Through Bha Hfto Damper With Center Electrical Connection, Baker Hughes Company

Defensive Publications Series

High frequency torsional oscillations (HFTO) is a severe problem in drilling system including a bottom hole assembly (BHA) , in particular with a rotary steerable system (RSS). It is related to drilling hard and dense formation with PDC drill bits. HFTO can be prevented with damping that is applied to the critical HFTO-modes of the drilling system. The damping that is achievable for a damping element is largest when the damping element is placed at the bit and decreases with distance from the drill bit. Therefore, a placement of a damper within the BHA and close to the drill bit …

Path Aware Secure Internet Routing, Atahar Khan, Vinay Saini, Ankush Arora

Defensive Publications Series

With cellular 6^th Generation (6G) communications seeking to utilize heterogeneous media to provide comprehensive end-user coverage, service providers will likely leverage diverse technologies, such as Low Earth Orbit (LEO) and/or Geosynchronous Orbit (GEO) satellites, alongside other wireless and wireline solutions, each with unique security and forwarding characteristics. Techniques proposed herein seek to address these complexities by enabling service providers to become media-aware and deliver an integrated security score that can be used to facilitate optimal and secure traffic routing across multiple communication/media types.

Low Latency Network Protocol For Time Sensitive Applications, Mohsin Alam

Defensive Publications Series

Real-time applications such as online gaming and video conferencing require low latency. High network latency, especially for geographically distributed users, negatively impacts these applications, as traditional network protocols prioritize throughput over latency. This document describes a network protocol to reduce latency and enable faster communication, especially for time-sensitive applications. The protocol prioritizes data packets, using custom headers to indicate priority. Additional aspects such as linking related data, sequencing, time-stamping, and lightweight session tokens can also be incorporated in the header. The protocol leverages adaptive mechanisms for congestion control, packet loss compensation, and machine learning for prediction and pre-emption of network …

Mesh Network Virtualization For Verification Of Network-On-Chip (Noc), Na

Defensive Publications Series

This disclosure describes techniques for verification of a Network-on-Chip (NoC). Per techniques of this disclosure, verification IP (VIP) is designed to include all the blocks of the NoC as a virtualized structure within the VIP. The virtualized NoC is utilized to perform verification tasks associated with the NoC, e.g., to provide stimulus sequences, bus functional models, checkers, coverage models, etc., associated with a particular block in the design. Virtualization of the NoC enables efficient verification of features of the NoC at the block level. During verification, a device under test (DUT) is assigned and connected to a corresponding endpoint. The …

Personalized Skipping And Splicing Video Segments, Chad Befus, Andy Lavery

Defensive Publications Series

When users know the information delivered within parts of a video, it is wasteful to watch those parts. Additionally, some videos may not be understood by a user that lacks certain background knowledge without viewing related content first. This disclosure describes techniques, implemented with user permission, to offer personalized options for users to skip known parts of a video and/or to splice in relevant supplementary content that adds content with relevant background information. With user permission, a personalized knowledge model of the user and a transcript of the original video the user wishes to watch are input to a large …

Acoustic Microphone Occlusion Detection

Defensive Publications Series

Methods, systems, and storage media for detecting microphone occlusion are disclosed. Exemplary implementations may: receive acoustic data at a device comprising one or more microphones; extract reference information based on the acoustic data; determine a validity of the reference information based on a set of bounded parameters; and determine an occlusion of the one or more microphones based on the validity, a state of the one or more microphones, and a predetermined confidence limit.

Customized Route Selection Based On Difficulty Level, Quinn Johnson, Joseph Edwin Johnson Jr

Defensive Publications Series

Digital maps provide route guidance based on attributes such as time to destination, cost, etc. However, current route options do not take into account difficulty associated with driving a particular route or the skill level of a user. This document describes techniques for presenting users with routing options that take into account the driving difficulty for the route. The difficulty of a route is based on a number of factors, including the number of unprotected turns, traffic conditions, etc. The aggregate difficulty for various routes can be used to select, sort, and present routing options to the user of digital …

Collaborative Digital Map With Travel-Time Based Region Visualization, Gulmohar Khan, Ramprasad Sedouram

Defensive Publications Series

Digital map applications may not adequately account for real-time conditions when performing destination search. Further, digital map applications lack collaboration functionality that enables multiple users to specify constraints to identify a destination that works for a group. This document describes techniques for visualizing travel time to multiple destinations on a digital map. The visualization includes multiple color-coded zones reachable from the user's current location within specific time periods. A user can adjust a slider to view zones based on travel times at different times of the day. The techniques can be used to find a destination that is convenient for …

Domain Specialist Detector, Matthew Sokol, Mary Troiani

Defensive Publications Series

During project planning and operations, a problem, task, or document needs the input of those most familiar with it. Existing ownership-lookup services can declare individuals nominally responsible for the task, but these may not be the true experts on the topic. This disclosure describes a domain-specialist detector, a set of techniques to identify the contextual awareness of a given individual with reference to a particular domain, task, project, or problem. The techniques determine a domain specialist by leveraging forgetting and learning curves to identify the contextual awareness of potential subject-matter experts (SMEs). Contributions to an artifact are given a contextual …

Oled Display Rf Solution, Hp Inc

Defensive Publications Series

The manuscript reveals a smart algorithm approach that solves the RF interference issue between a high speed refresh rate display and wireless communication device. The central time controller is added to allocate the jobs between the two devices, and determine which state they should be in the time domain.

Security Controls Compliance Cloud Security, Ai, And Llms - Aws, Azure, Google Cloud Gcp, Ramkumar Bharathan

Defensive Publications Series

Regulatory compliance is a critical aspect of cloud security and AI deployments. The publication provides unified guidance on the application of security controls and compliance requirements for cloud security, artificial intelligence (AI), algorithms, and large language models (LLMs) across all cloud providers, specifically including Azure, AWS, and GCP. It offers a comprehensive overview of major regulatory frameworks, including FedRAMP, DORA, ECB, HIPAA, SOC 1/2/3, PCI DSS, China regulations, NIST CSF, ISO/IEC 27001, Basel Accord, SOX, and GDPR, with a focus on their relevance to cloud security, AI, and LLMs, and their impact on different industries

Fast Startup By Dynamic Adaptive Power State Switching Of System, Hp Inc

Defensive Publications Series

It is observed that most users go back to their homes and continue to complete their work by connecting external display monitors. But the user needs to open the laptop cover first and then press the power button to power on the system every time when system is in S5 (shutdown mode) state and lid close mode. It might be a little bit inconvenient since the user needs to complete those redundant steps every time and takes more time to power on the system.

So here we come up with one idea to further improve user experience through some methodologies …

System And Method For Email Recommendation, Søren Vedel, Deepak Janardhan Sherveghar, Rosa Maria Izquierdo Guillen, Maersk A/S

Defensive Publications Series

A method for email recommendation comprises obtaining a plurality of user features of a user and a plurality of email features of each of a plurality of emails. The method further comprises obtaining a plurality of weights for each email. Each of the plurality of weights is associated with a user feature or an email feature. The method further comprises determining a plurality of context vectors corresponding to the plurality of emails. Each context vector comprises a combination of the plurality of user features and the plurality of email features of a corresponding email. The method further comprises generating, via …

Semantic Information Based Device Localization Using Artificial Intelligence, Kan Huang, Chao Guo, Fengtao Fan

Defensive Publications Series

This disclosure describes techniques for device localization based on semantic information available in the environment. A semantic data source is identified by performing landmark identification using an artificial intelligence (AI) model trained to identify landmarks. Image(s) of the semantic data source are provided to a text recognition module. The detected text is provided to a semantic aware localizer. An estimated surface normal and estimated depth of the semantic data source are additionally provided as inputs to the semantic aware localizer. When device localization is being performed, live semantic information captured by the device can be utilized in conjunction with a …

Compressed Telemetry Encoding For Down Hole Data, Baker Hughes Company

Defensive Publications Series

Enhancement to Patent US9784097 - Compressed telemetry for time series down hole data using variable scaling and grouped words

Cursor Control Using Head Tracking And System Actions Using Facial Gestures, Jonathan Ray Bernal Castano, Akihiro Ota, Emmanuel Arias Soto, Bastian Kersting, Amanda Lin Dietz, Qian Yan, Ciara Salmon, Khanh Leviet, Tzarial Kuznia, Katherine Dektar, Gina Domergue

Defensive Publications Series

Some computer users have dexterity limitations or motor impairments, resulting in a reduced ability (or inability) to use a computer mouse, trackpad, or keyboard to effect actions on the computer. Existing accessibility techniques that are based on eye-gaze tracking, head movements, etc. have limited functionality, lack robustness, or require specialized hardware. This disclosure describes techniques that leverage machine learning (particularly, face-landmark tracking and gesture recognition), camera-frame extraction, and low-level system integration to enable users to control mouse buttons, screen cursor, keyboard, etc. and to perform operating-system (OS) actions with eye and/or face gestures. Per the techniques, face/eye gestures that are …

Reliable Multi-Tenant Solid State Drives With Flexible Write Throughput Sharing, N/A

Defensive Publications Series

Solid state drives (SSDs) that are shared among multiple tenants struggle to balance guaranteed throughput, burst capabilities, and power loss protection (PLP). Existing solutions either compromise fairness, limit burst throughput, or sacrifice data integrity during power outages. This disclosure describes techniques to share SSD write throughput between multiple tenants in a way that does not compromise PLP support by the SSD. This is accomplished through dynamic allocation of the SSD write cache to the individual tenants upon need. Tenants can be provided with a guaranteed share of the total SSD write throughput. A subset of the tenants can be allowed …

Unified Robotic Benchmarking Platform For Augmented Or Virtual Reality, Yang Chen, Narges Noori, Chao Guo, Chen Lu, Luke Jia, Chris Kenyon, Sean Yuan

Defensive Publications Series

Capturing and quantifying the performance of augmented reality (AR) or virtual reality (VR) devices during test and development has traditionally been a labor-intensive and subjective task undertaken by human testers. This disclosure describes robot-based techniques of testing AR/VR devices. By integrating robotic arms, computer vision, speakers, displays, and microphones into a unified testing suite, the techniques address the challenges of labor-intensiveness, variability, and uncertainty of traditional AR/VR testing. The techniques provide objective and consistent ground-truth data, enabling precise measurement of both hardware and software performance. The techniques can enable AR/VR developers and manufacturers to make data-driven decisions to optimize their …

Automated Password Change Using A Large Language Model For Website Navigation, Ece Scheuss, Fiorella Barrientos Villalta, Vasilii Sukhanov, Viktor Semeniuk

Defensive Publications Series

Some web browsers include password-check features that indicate insecure credentials, e.g., credentials that may have been leaked to third parties. However, users may not change such credentials, potentially leaving their accounts vulnerable. This disclosure describes techniques to automate password change, such that users can stay safe online without having to undertake manual effort to change their passwords with websites or applications. Multiple entry points are offered to users to enable them to start the automated password-change flow. With user permission, the web browser navigates to a known password-change website; auto-generates a strong, new password; fills in a password-change form with …

Optimizing Post-Transcription Language Analysis Using Audio Signal-To-Noise Ratio Estimations, Dongeek Shin

Defensive Publications Series

This publication describes using signal-to-noise ratio (SNR) estimators for audio recordings to identify an optimal large language model (LLM) for analyzing audio transcriptions generated from the audio recordings. This publication may enable users of microphone-enabled devices (e.g., smartwatches, tablets, wearables, cellular devices, mobile phones, etc.) to obtain more accurate responses to audio queries by using SNR estimators to infer the accuracy or quality of the transcription. The device may use the SNR estimates to select an appropriate LLM to generate responses to the audio input (e.g., queries, prompts, commands, etc.). It may be more difficult for speech-to-text transcription engines to …

Intelligent Topic Merging For Highly Correlated Data In Kafka, Alok Roy

Defensive Publications Series

The present disclosure provides systems and techniques to optimize resource usage in Apache Kafka by detecting and merging topics carrying highly similar or correlated data streams. The system consists of a Topic Similarity Detection Engine that analyzes data across Kafka topics using schema comparison, content similarity, and workload characteristics. Once topics with highly correlated data are identified, the system suggests or automatically merges these topics through a Merging Decision and Topic Merge Executor Module. The merging process is executed by dynamically adjusting partitions, consumer, and producer mappings, and ensuring consistency across merged topics. By reducing the number of partitions and …

Secure Attestation During Device Reset, Subrata Banik, Andrey Pronin

Defensive Publications Series

Resetting a computing device can transition it to an insecure boot mode, thereby exposing the device to potential security breaches. This disclosure describes techniques that leverage a secure device ecosystem to achieve secure device reset or boot. Per the techniques, a device reset or boot can proceed only with an attestation by the true device owner, made secure by a cross-verification from another device within the device ecosystem. Specifically, when one device from the ecosystem receives a reset request, the device owner is required to approve the reset via another device from the ecosystem. Shared capabilities and login credentials across …

Payment Method Recommendations For In-Store Transactions, Ajay Prasad

Defensive Publications Series

Digital payment applications enable users to pay merchants via their smartphone or another device, e.g., by scanning a merchant quick response (QR) code displayed at the merchant location. However, such payment apps do not personalize the user experience or help users save money by availing relevant offers. This disclosure describes techniques that, with user permission, enhance the peer-to-merchant digital payment experience by utilizing contextual information including merchant identification and the user’s available payment methods, vouchers, coupons, etc. to automatically suggest a suitable payment method or coupon/voucher and/or to identify available offers as applicable to a transaction. The described techniques provide …