Digital Commons Network^™

Powerful Usb-C, Hp Inc

Defensive Publications Series

This concept is a new USB-C connector to deliver higher power and Extra bandwidth with simplified, single-cable installation.

Ai Assisted Pen Drop Detection, Hp Inc

Defensive Publications Series

Active pens have been a tool to enhance productivity in office environments and in school class. This publication proposed a method to enable active pen drop detection by utilizing IMU/Gyro sensor with AI assisted algorithm to detect active pen dropping events and implement buzzer, haptic module, or Bluetooth communication to host computer system to alert end users that their active pen is lost. This function can prevent end users losing their active pens causing productivity loss in the office or in the school.

Proactive Personal Safety Systems Using Artificial Intelligence, Sumukh Ashok Shevde, Kamran Mustafa, Abhijit Adsule

Defensive Publications Series

This document describes techniques that enable a mobile computing device (e.g., a smartphone, smart watch, wearable device, augmented reality glasses, vehicle infotainment system, etc.) to generate context data (e.g., location data, movement patterns, audio data, biometrics, traffic hazards, recent crimes, etc.) for use by a proactive personal safety system. The proactive personal safety system may include an intelligent software agent (e.g., artificial intelligence (AI), machine learning model, etc.) hosted locally on the mobile computing device, on a companion device (e.g., tethered smartphone), on a cloud server, etc. The mobile computing device may continuously monitor diverse environmental factors and user behavior …

Advanced Comfort Braking For Vehicles, Akram Ghadieh, Elif Zengin

Defensive Publications Series

A comfort braking control system for a vehicle includes a plurality of configurable braking thresholds that define a progressive application of braking force prior to emergency braking. The system determines a distance to collision and calculates a comfort braking time period before emergency braking would be required. This time period is divided into multiple intervals based on a number of thresholds, with braking force incrementally increased during each interval until reaching maximum braking power at emergency brake time. This progressive approach provides a smoother deceleration profile that enhances occupant comfort while still ensuring effective collision prevention.

Hybrid Camera Aggregator Using Mipi Virtual Channels And Horizontal Stitching, Sam Li

Defensive Publications Series

A hybrid camera aggregation method includes receiving a set of cameras, where a synchronous subset of cameras in the set of cameras is of a same resolution, a data format, and a trigger and asynchronous cameras in the set of cameras includes individual cameras that are not of the same resolution, the data format, or the trigger, stitching camera frames in the synchronous subset of cameras to create a single super-frame, sending the single super-frame via a first stream that is assigned to a first virtual channel ID, and sending the individual cameras including an individual camera frame via a …

Fish Farm And Associated Methods, Anonymous

Defensive Publications Series

Relates to a fish farm and associated methods, and particularly to methods for controlling water quality in a fish farm

Enhancing Ai-Generated Code Via Automated Evaluation And Validation, Edison Chen, Huai-Ya Chen, Sui Li, Qin Zhang, Diki Zhang, Stan Lin, Jiawen Chen, Taylor Lo, Poying Chuang

Defensive Publications Series

Software code generated via artificial intelligence (AI) models can potentially contain errors that can render AI-generated code unusable without expending significant manual effort to identify and rectify each issue. The need for human oversight can reduce the overall effectiveness of the software development and testing process. This disclosure describes automated techniques that incorporate feedback, external error information, and contextual awareness to improve the accuracy, reliability, and efficiency of AI-generated code. The iterative process involves code evaluation followed by script validation. The process generates feedback that provides clear and actionable input to the AI model to fix errors in previously generated …

Automatic Resolution Of Network Link Errors That Occur During Software Rollout, Na

Defensive Publications Series

It can be difficult to attribute network link errors that occur during software rollout to the old or new versions of the software. Reliable software rollout is important; yet network errors are costly to diagnose, and a new software rollout takes substantial time. This disclosure describes techniques to automatically diagnose network errors in a fleet of computers, to pinpoint the error to an old or a new software version, and to enable decision regarding whether to continue a software rollout or to abort it, e.g., rollback the new software version. Data from software stacks, error logs, network topology daemons, and …

Light Field Sensitive Polarization Detectors

Defensive Publications Series

Embodiments of light field sensitive polarization detectors are described herein. Prior methods for measuring the 3D profile of an object utilize the polarization properties of detected light, captured by intensity-only, RGB, or polarization-sensitive cameras. However, these methods require knowledge or assumptions of several parameters, including the polarization state of the scene illumination light, the spatial distribution of light sources, and the object's material properties. While existing techniques can provide a certain level of accuracy, they are limited by the need for additional information about the scene or light field properties to enhance the precision of reconstructions.

Ai-Enabled System For Efficient Data Storage, Debdeep Bandyopadhyay, Alok Roy, Prajna Shetty

Defensive Publications Series

The present disclosure relates to methods and systems for efficiently storing data based on reinforcement learning and actor-critic models. An agent, comprising a “chunking actor” and a “redundancy critic” can segment various types of computer files into “dynamic segments” and “redundant segments” and store those segments in a dynamic datastore and a redundant datastore respectively. In general terms, redundant segments can comprise segments of files that exist “redundantly” among multiple files stored by the system, such as header information. Dynamic data segments can comprise data segments that are unique or generally unique to their respective files. By identifying redundant data …

Method And System For Providing Real-Time Risk Assessment And Fraud Detection For Authorized Push Payments, Ila Malde, Lahar Gupta, Sagnik Ghosh, Zami Juarez

Defensive Publications Series

The present disclosure relates to a method and system for real-time risk assessment and fraud detection for authorized push payments (APP). The method comprises receiving, by an API 103, a request for processing an APP transaction from a first user. In response to the request, receiving public verification details from the first user and/or private verification details from the second user. Further, the method comprises determining an authentication of the second user based on the public verification details and/or private verification details of the second user. Further, the method comprises determining, by the API 103 using an AI model …

Orbital Magnetic Coil System And Global Wireless Power Grid For Planetary Energy And Protection, Michael W. Terzi

Defensive Publications Series

Abstract

This paper presents a visionary concept for a global energy generation and distribution network utilizing an orbital array of magnetic coils to harvest electricity directly from Earth’s magnetic field. Leveraging Faraday induction, kilometer-scale conducting loops in low Earth orbit generate electrical power as they cut through geomagnetic lines, transforming orbital kinetic energy into usable electrical energy. This power is wirelessly transmitted to Earth via microwave, laser, or resonant Earth-ionosphere coupling—drawing inspiration from Nikola Tesla’s Wardenclyffe design—to a distributed network of ground-based receiver towers. Beyond energy supply, the system offers speculative planetary defense benefits by reinforcing Earth's magnetic field and …

Serverless Bluetooth Low Energy (Ble) Reconnection Via Proxy, Salil Rajadhyaksha, Arthur Tiv, Igor Zaslavsky

Defensive Publications Series

While Bluetooth low energy (BLE) advertising is less power-intensive than scanning, emitting an always-on connectable advertisement consumes power. This disclosure describes techniques of power-efficient BLE advertising by using a proxy device to effect a seamless reconnection protocol between a central device and a peripheral device without user interaction. A companion device (e.g., a smartphone) paired with a peripheral (e.g., a smartwatch) acts as a BLE proxy. When a central device (e.g., a tablet) scans for the peripheral, the proxy advertises on behalf of the peripheral using encrypted certificates and identifiers. Such proxy advertising enables the central device to locate the …

Shared-Key Biometrics Authentication Protocol, Zi Lin, Andrey Vadimovich Pronin

Defensive Publications Series

Existing biometric authentication systems may face limitations in securely managing critical data and establishing robust communication between diverse hardware components. Implementations disclosed herein include a shared-key-based authentication protocol and a fingerprint, secure operating system (OS) application. In some implementations, the system establishes a static shared key, potentially via a cryptographic handshake, followed by the derivation of a per-boot shared session key. This enables secure, authenticated data exchange, such as the loading of an encrypted encryption key seed. Subsequent interactions, including enrollment and authentication sessions, may utilize origin verification, tampering protection, and encryption, e.g., using keyed hash functions and/or authenticated encryption. …

Increase Card Acceptance In Under-Penetrated Segments: Changing Customer Payment Behavior With Reinforcement Learning, Gen Ai Reasoning, And Card Community Analysis, Nagraj Naidu Mr, Shruti Gupta Ms

Defensive Publications Series

The present disclosure provides a method for behavioral prediction of a cardholder, performed by an artificial intelligence (AI) agent utilizing reinforcement learning in conjunction with a Markov Decision Process (MDP) framework. A Language Learning Model (LLM) acquires state and transition probabilities from an analytical processing unit. The LLM accesses historical interaction data and feedback records from a specialized vector database. The LLM analyzes and assimilates historical information retained within the vector database. The LLM implements cognitive algorithms predicated on defined contextual parameters with the aim of developing a personalized card usage strategy. The LLM orchestrates a sequence of interactive prompts.

Scalable Pregeneration Of Content Summaries, Johannes Elias Start, John James Lunney

Defensive Publications Series

On-demand content summarization requests, e.g., for various types of content stored and handled by cloud productivity suites, can result in large wait times and strained resources due to the computational load imposed by content summarization models. Pre-generating content summaries can inefficiently duplicate efforts and generate content with low usage probability. This disclosure describes machine-learning techniques, implemented with user permissions for content access, for scalable and intelligent content pregeneration, e.g., in cloud productivity suites. Computational resources are allocated for content summarization and summarization models are selected based on content value, avoiding redundant pregeneration. The techniques advantageously reduce latency, optimize resource utilization, …

Network Power Optimization For Mobile Computing Devices, Nazih Almalki, Kefan Tu, Jonathan Backer

Defensive Publications Series

This document describes techniques that enable a wearable device (e.g., a smart watch, ring, glasses, etc.) and a mobile computing device (e.g., a smartphone) to optimize network-related power consumption. For instance, a wearable device tethered to a mobile computing device (“companion device”) via BLUETOOTH may experience power inefficiencies when attempting to access a network (e.g., cellular, WI-FI, Internet, etc.) if the companion device is in an area with poor network coverage. In this scenario, one of or both the wearable device and companion device may experience increased power consumption during connection attempts that may ultimately fail. According to the techniques …

Emergency Ssid Activation And Intelligent Overlay Network System, Deepthi Devaraj, Valentin Filippov, Wing Man Casca Kwok, Susan Beth Krohn Mintz, Phd, Jithu Paulose, Dave Zacks

Defensive Publications Series

This submission proposes a novel system and method to enable Wi-Fi routers, access points, or edge devices (e.g., through opt-in mechanisms, pre-authenticated mechanisms, etc.) to broadcast an Emergency SSID (Service Set Identifier) when triggered by a centralized emergency authority (e.g., FEMA (Federal Emergency Management Agency), military, local government, etc.). This Emergency SSID may be activated only in emergency conditions, authenticated through a secure message protocol from a trusted central authority, to create a secure Carrier-Agnostic SD-WAN (software-defined wide area network) or any overlay tunnel that facilitates communications back to a designated central authority, thereby ensuring controlled and high-priority traffic routing …

Semantic Sensors: Multimodal Language Model Powered Sensors Capable Of Reasoning, Alex Olwal, Michael Xieyang Liu, Savvas Petridis, Vivian Tsai, Alexander Fiannaca, Michael Terry, Carrie Cai

Defensive Publications Series

While sensor-driven systems such as motion detection, home security systems, etc. are capable of preconfigured tasks, such systems offer limited customization. Large language models are capable of performing reasoning tasks based on data provided to them. This disclosure describes a comprehensive semantic sensing system that is configured to understand user intent and to perform reasoning tasks based on different streams of sensor data (e.g., obtained from low-level sensors) to fulfill that intent. Reasoning tasks can be performed using a foundational AI model. Semantic sensors - sensor-systems that utilize a multimodal language model that interprets sensor data - are described that …

Protecting Against Use-After-Free Exploits With Multiple Policy-Limited Memory Heaps, Joshua Mason

Defensive Publications Series

Bugs or errors in handling memory allocation and deallocation can lead to use-after-free (UAF) vulnerabilities. Such cases involve programs accessing memory locations that have been freed by deallocation. Malicious actors try to exploit UAF vulnerabilities to cause various adverse effects with potentially severe operational consequences. This disclosure presents an alternative protection approach by replacing the use of a single memory heap with multiple policy-limited memory heaps. At runtime, each of the distinct memory heaps can be randomly assigned a policy to limit the type(s) of objects that can exist within it. The random policy assignment reduces the likelihood of malicious …

Voice-Enabled Stylus For Contextual Command Input And Dynamic Content Enrichment, Hadi Zadeh

Defensive Publications Series

Current stylus devices lack integrated voice command capabilities, limiting the ability of users to efficiently interact with touchscreen devices while performing creative tasks with the stylus. This disclosure describes a voice-enabled stylus equipped with a microphone and a button for activating voice commands. Users can control the stylus by directly voicing commands to it. Unlike a general-purpose microphone on a mobile device, the stylus microphone supports specific stylus-related actions such as changing drawing tools, activating features like rulers, adding transcribed content during note-taking, etc. Commands can also be used to enrich diagrams or drawings with audio recordings, such as adding …

Enhanced Denoising With Voice Activity Detection, Sinan Hersek, Thomás Inskip

Defensive Publications Series

This disclosure describes techniques to enhance multi-channel speech denoising using voice activity detection (VAD). Per the techniques, VAD is leveraged to detect segments of microphone signals where the user’s speech is absent but where background noises are present. For such segments, the microphone output to the headset is set to silent. Effectively, VAD is used to gate the microphone output based on the presence or absence of the user’s speech. The gating action of the VAD results in a denoising, since noise is completely suppressed at least in segments where the user’s speech is absent. Denoising using VAD is described …

Cross-Realm Interaction Between Digital Wallet And Shopping Scenarios In Extended Reality, Yanhe Chen, Ruofei Du

Defensive Publications Series

While digital payment via mobile devices is common, there are no intuitive digital-payment mechanisms for new device categories such as augmented/extended reality (AR/XR) devices, smart glasses, etc. This disclosure describes cross-platform payment techniques designed for immersive extended reality (XR) environments. Per the techniques, a user can invoke a panoramic view of their linked credit cards within their XR display. The user can select their preferred payment method/instrument using intuitive gestures based on hand, eye, or head movements. The user can make a purchase from a virtual marketplace without interrupting the immersive experience. The XR headset can be linked to a …

Single Sideband Coherent Optical Detection, Na

Defensive Publications Series

This disclosure describes a coherent optical detection technique based on single sideband (SSB) reception that enables finer per-wavelength speed granularity while maintaining high efficiency in terms of power and components-count. By recovering real-valued pulse amplitude modulation (PAM) signals from either the lower or upper optical sideband, the SSB coherent receiver architecture reduces required component bandwidth and can achieve signal-to-noise ratio (SNR) performance comparable to or better than conventional coherent detectors. The technique supports integration with polarization-folding, time-diversity coherent optics to further enhance system scalability and reduce receiver complexity. This approach enables the design of cost-effective, high-speed, low-power transceivers for short-reach …

Hybrid Reasoning System For A Large Language Model Operating System Incorporating Symbolic Inference And Knowledge Graph Integration, Krishna Chytanya Ayyagari

Defensive Publications Series

This disclosure describes an Adaptive Agent Runtime Environment (AARE) architecture. The AARE architecture (AARE) addresses several critical limitations and unmet needs in the burgeoning field of Large Language Model (LLM) integration into complex computational systems. AARE provides a comprehensive synthesis of various current technologies as well new concepts, including integration of various technologies. It seeks to overcome the limitations of existing approaches by offering a tightly integrated framework that natively supports autonomous agents, leverages the strengths of LLMs and symbolic reasoning, provides robust memory management, fosters extensibility through a plugin ecosystem, ensures security and isolation, and facilitates discovery and distribution …

System, Method, And Computer Program Product For Evaluating Generative Machine Learning Models, Yang Wang, Alberto Garcia Hernandez, Roman Kyslyi, Nicholas Kersting, Ajit Vilasrao Patil, Ranjan Dutta

Defensive Publications Series

Systems, methods, and computer program products are provided for evaluating generative machine learning models. An example system includes a processor configured to determine queries and ground-truth answers associated with the queries. The processor is also configured to generate generated answers based on the queries using a model that is being evaluated. The processor is further configured to input the queries, the ground-truth answers, and the generated answers to an evaluator model trained to evaluate the generated answers in comparison to the ground-truth answers and based on a grading scale associated with accuracy, honesty, and completeness of a generated answer. The …

Machine-To-Machine Resource Access, Yuexi Chen

Defensive Publications Series

Various devices, systems, and methods for machine-to-machine resource access are disclosed. For example, a user device can request, via a resource access link, a rate for accessing a resource from a resource provider machine. The user device can receive the rate for accessing the resource from the resource provider machine. Based on the rate satisfying a resource access preference, the user device can send, via the resource access link, a payment credential to the resource provider machine. The user device can receive access to the resource via the resource access link based on sending the payment credential.

Automated Task Management In A Cloud-Based Workspace, Ilia Labzovsky, Danny Karmon

Defensive Publications Series

A technique is proposed for automated task management in a cloud-based workspace. Content corresponding to an intended task pertaining to a user is identified from a set of electronic documents associated with the user. A task plan for the intended task is generated based on the set of electronic documents and/or one or more additional electronic documents associated with the intended task. An indication of a sequence of operations of the task plan is provided for presentation via a user interface (UI) of a client device associated with the user. A user-initiated instruction from the client device is received to …

Stateful Llm Agent For Geospatial Data Analysis, Marcin Sieniek, Sameera Ponda, Gia Jung, Ananya Gupta, Gearoid Murphy, Danusch Merrikh-Yazdi, Renee Johnston, Patrik Blohmé

Defensive Publications Series

The present disclosure proposes a system to address the challenges faced by professionals in fields like sustainability, urban planning, and clean energy development when analyzing geospatial data. Traditional methods for deriving actionable insights from disparate geospatial data sources are often complex, time-consuming, and require specialized expertise. This document describes a system and technique that leverages Large Foundational Models, such as Large Language Model (LLM) agents to automate geospatial workflows across multiple datasets from varied sources. The solution employs an LLM-assisted code generation and execution loop within a persistent execution environment, enabling efficient and simplified geospatial data analysis.

Payment Method Recommendation To Maximize Linked Benefits, Daniel V. Klein, Jon Chu

Defensive Publications Series

Digital wallets and payment applications support storing payment instrument information and using it to make payments for physical as well as virtual shopping. Many payment instruments are associated with perks that are delivered to the user upon satisfaction of certain criteria, e.g., spend amounts, spend types, etc. It is challenging for users to remember specifics of the currently active perks and to use appropriate instruments for individual purchases to maximize such perks. This disclosure describes techniques, implemented with specific user permission to access user data, to determine and recommend suitable payment methods to users at the point of purchase to …