Digital Commons Network^™

Performance Delay Measurement And Fault Detection Of Sr / Srv6 Te Policies In Software Defined Networks, Clarence Filsfils, Rakesh Gandhi, Tarek Saad, Patrick Khordoc, Sagar Soni

Defensive Publications Series

Mechanisms are provided for Performance Measurement (PM) Delay Measurement (DM) as well as Fault Detection (FD) for Traffic Engineering (TE) Segment Routing (SR) policies (applicable to both SR-MPLS and SRv6 data-planes) in Software Defined Networks (SDN). For an SR policy, end-to-end atomic paths are "dynamically" computed using adjacency SIDs (or prefix SIDs in some cases) of all its ECMP paths by the path computation process running locally or on a controller. Key of the atomic path based on IP address of each hop is used for Telemetry, histogram and Client notification. The PM probe messages (or FD messages) are injected …

Augmented Reality Dance Instructions, Anonymous

Defensive Publications Series

Users are provided guidance on physical activity such as dance by use of an augmented reality overlay displayed atop a user’s own image. The overlay provides visual instruction, e.g., instruction on how to execute a dance move, to the user. Pose detection techniques are utilized to match the user’s actual pose with that in the instruction. The overlay provides visual feedback to the user on how well the user’s pose or movement matched that of the instruction.

Performance Delay Measurement And Fault Detection Of Sr / Srv6 Te Policies In Software Defined Networks, Clarence Filsfils, Rakesh Gandhi, Tarek Saad, Patrick Khordoc, Sagar Soni

Defensive Publications Series

Mechanisms are provided for Performance Measurement (PM) Delay Measurement (DM) as well as Fault Detection (FD) for Traffic Engineering (TE) Segment Routing (SR) policies (applicable to both SR-MPLS and SRv6 data-planes) in Software Defined Networks (SDN). For an SR policy, end-to-end atomic paths are "dynamically" computed using adjacency SIDs (or prefix SIDs in some cases) of all its ECMP paths by the path computation process running locally or on a controller. Key of the atomic path based on IP address of each hop is used for Telemetry, histogram and Client notification. The PM probe messages (or FD messages) are injected …

Spatially Optimized Wireless Multicast Networks With Guaranteed Bit-Rate, Paul Heninwolf, Daniel Fernandes Barros

Defensive Publications Series

Multicasting is a mode of transmission in which the same information is relayed to a subset of users. Delivering the same information to multiple users of the subset via a series of one-to-one (unicast) transmissions quickly exhausts bandwidth. Delivering information in a series of one-to-all (broadcast) transmissions such that each subset receives its information in a round-robin manner causes latency, or equivalently, a reduction in bandwidth.

The techniques of this disclosure estimate the angular locations of each multicast subset using channel state information received across an antenna array. The locations are clustered using machine learning models. The available transmit power …

Obfuscation And Anonymization Techniques For Network Data Sets For Machine Learning, Ralf Rantzau, Sebastian Jeuk, Gonzalo Salgueiro

Defensive Publications Series

Techniques are described herein for securing data used for a machine learning algorithm. The frequency or top-k values calculated over time of the respective network traffic feature data sets are used instead of the actual data or a set thereof (this can also be extended to any other data sets). Here, the frequency represents the actual data and thereby obfuscates potential sensitive information that should not be used within an oftentimes shared cloud machine learning application.

Identifying Ai Participants In Calls And Escalating Ai-Only Calls Into An Optimized Machine Communication Mode, Denis Savostiyanov, Rob Hanton

Defensive Publications Series

The embodiments presented herein enable two human-emulating artificial intelligence (AI) speech agents to identify each other in situations where the two are engaged in a conversation. Once two speech agents recognize each other as artificially intelligent, they may transition to a more efficient method of communication in order to complete tasks more quickly, accurately, and inexpensively.

Path Information-Driven Quic Path_Challenge To Optimize Path Selection In 5g Networks, Sebastian Jeuk, Gonzalo Salgueiro, David Hanes

Defensive Publications Series

Proposed herein are techniques that make use of an extended Quick UDP Internet Connection (QUIC) PATH_CHALLENGE frame to perform dynamic path selection operations within a 5G Wi-Fi/cellular network to optimize end-to-end performance. The techniques presented herein expands the capabilities of the current PATH_CHALLENGE function, as defined in the Internet Engineering Task Force (IETF) QUIC drafts. The additional information gathered as part of the PATH_CHALLENGE and the PATH_RESPONSE frame are used to understand path characteristics and dynamically optimize traffic flows accordingly.

Cognitive Cloud Collaboration, M. David Hanes, Sebastian Jeuk, Gonzalo Salgueiro, Chuck Byers

Defensive Publications Series

Techniques are described for using a cognitive learning instance to learn a user's preferences across a wide range of cloud collaboration services and provide a customized user experience. This customized user experience is then leveraged on the back-end for optimizing cloud resources.

Machine-Learned Alt Text For Images And Videos, Sandro Feuz, Mohammadamin Barekatain

Defensive Publications Series

HTML has a provision for adding a textual description, known as alt text, to media elements in a webpage, such as images and videos. This is useful for improving accessibility of web pages, for display environments that do not support a particular media item, for content searching, etc. The alt text is currently added manually, e.g., by the web page developer or publisher. This is a labor intensive activity and does not work for dynamic media. This disclosure utilizes machine learning techniques to automatically add alt text to media content.

Web Search Of Mathematical Expressions, Victor Cărbune, Thomas Deselaers

Defensive Publications Series

Internet search engines, which make information nearly universally accessible, still perform poorly at handling queries with mathematical content. The reasons for suboptimal handling of mathematical content by search engines include the following: the difficulty of entering mathematical expressions into search engines, the lack of standard encoding for mathematical content, the difficulty of determining if a given page or information source is relevant to a mathematical query, etc.

This disclosure describes techniques that address the aforementioned problems, e.g., by enabling easy entry of mathematical expressions into search engines, by creating a standard representation of mathematical content based on a machine-learning embedding …

Safe Unrouted Addressing In A Cloud Or Datacenter Network, Kyle Mestery, Ian Wells

Defensive Publications Series

Techniques are described for multi-tenant isolation in cloud and datacenter networks using normal Layer 3 (L3) routing rather than overlay networks. Basically, the wider routed network is divided into three components: public and corporate addresses, private addresses, and fully reachable addresses (i.e., addresses that can route to both the public and corporate and the private addresses).

Wireless Mesh Network Fault Diagnosis And Management Based On Binary Tree Based Support Vector Machine, Lele Zhang, Chuanwei Li, Huimin She, Li Zhao

Defensive Publications Series

Techniques are provided herein for using a Support Vector Machine (SVM) method for fault diagnosis and device management by data mining in the cloud. The result could provide valuable references for specialists to analyze and then perform operations to avoid loss. In current Connected Grid Mesh (CG-Mesh) implementations, many status profiles of nodes are collected for further use, but fault diagnosis is not performed. Preventive strategies for users are also provided.

Method For Filtering Displayed Content Based On Occupants, Scott Randolph, Bradley Stenning, Steve Paik

Defensive Publications Series

This publication describes an operating system (OS) that re-defines a user as a sum of all occupants in a shared space, and not merely as a single individual who has signed into a shared device. To identify the occupants of a space, the OS uses objective markers, such as: facial recognition, radar signature, biometric sensors, media address control identification (MAC ID), voice recognition, various sensors, radio-frequency identification (RFID), or other Internet-of-Things (IoT) data. Then, the OS filters out the displayed content on the shared device based on a level of trust amongst the occupants and a level of sensitivity. To …

Method For Filtering Displayed Content Based On Occupants, Scott Randolph, Bradley Stenning, Steve Steve

Defensive Publications Series

This publication describes an operating system (OS) that re-defines a user as a sum of all occupants in a shared space, and not merely as a single individual who has signed into a shared device. To identify the occupants of a space, the OS uses objective markers, such as: facial recognition, radar signature, biometric sensors, media address control identification (MAC ID), voice recognition, various sensors, radio-frequency identification (RFID), or other Internet-of-Things (IoT) data. Then, the OS filters out the displayed content on the shared device based on a level of trust amongst the occupants and a level of sensitivity. To …

Automating Last-Mile Power Connection Discovery In Datacenters, N/A

Defensive Publications Series

Up-to-date records of last mile power connection information in a datacenter are useful, e.g., to enable data center engineers to reason about the power-network dependency of machines; to monitor aggregate power consumed by a group of machines; etc. Such records are typically obtained manually, e.g., by associating barcodes with both distribution equipment (junction boxes) and power loads (racks) and scanning the barcodes to establish distribution-to-load mapping. The present manual methods of power-connection discovery are labor-intensive.

This disclosure describes automated discovery of last-mile power connection information in a datacenter. Power cables (whips) that connect racks to junction boxes are made available …

Translation Of Electronic Dialogs

Defensive Publications Series

Techniques for translation of all or subsets of an electronic communication sent by a first user (via a corresponding client device) to one or more additional users (for consumption via corresponding client device(s)). The translation is from a source language of the electronic communication to target language(s) of the additional user(s). For example, assume a first user creates an electronic communication in Chinese and transmits the electronic communication to a second user who only understands English. Techniques described herein may translate all or portions of the communication from Chinese to English and present (e.g., visually and/or audibly) the translated English …

Systems And Methods For Predicting Online Video Metrics, Aaron Shon, Charles Johan Larsson Tibell, Axel Erik Olov Henriksson

Defensive Publications Series

A low-latency reporting mechanism that runs as a layer on top of an analytics engine is described. The analytics engine runs a predictive model to generate one or more metrics related to online content usage in near future. The predictive model is based on artificial intelligence and machine learning. The predictive model can be trained with low-latency real-time event data as well as canonical data obtained from historical event logs.

Hand Of The Invisible Poet, Anonymous

Defensive Publications Series

The present disclosure describes a method for automatically superimposing content of a user’s preference on targeted portions of images captured by the user in real time. The targeted portions to display the content, also known as secondary spaces, are detected via heat maps, which are based on the user’s focus on the screen. The secondary spaces are regions, where the user’s attention is least centered, that is, the regions, where the color density is least. Moreover, the method provides the user with the content depending upon the user’s location, so that the user can relate and make use of the …

Internet Protocol Version 6 Prefix Coloring In Software Defined Access Fabric For Differentiated Policy Enforcement, Sri Gundavelli, Shree Murthy, Sudhir Jain, Indermeet Gandhi

Defensive Publications Series

Techniques are described herein for Internet Protocol version 6 (IPv6) prefix coloring in Software Defined Access (SDA) fabric. These techniques may enable differentiated policy enforcement.

Wireless Network Load Corroboration Using Machine Learning (Ml) Based Video Analytics, Smruti Lele, Samer Salam, Ajay Madhavan, Jayesh Wadikar

Defensive Publications Series

Presented herein are techniques for correlating the output of a crowd counting machine learning (ML) algorithm, which operates on surveillance video, with observed network load to determine if a load spike is due to a valid network usage or an attacker trying to sabotage the network. The techniques presented herein include vision field classification based on access point (AP) coverage, linking of vision fields to AP coverage in DNAC UI, and consensus-based threat assessment and alerts.

Automated Client Classification And Policy Enforcement Through Cloud Application Programming Interface Gateway, Xueqiang Ma, Kumar Sankaralingam, Shubhojit Chattopadhyay, Kalyan Ghosh

Defensive Publications Series

Techniques are described for identifying key parameters for classifying interactive clients and daemon clients. Machine learning algorithms based on Principal Component Analysis (PCA) and enhanced Decision Tree (DT) are utilized together with HyperText Transfer Protocol (HTTP) header analysis to accurately classify clients. Rate-limiting effects are monitored as a feedback to perform re-enforcement learning to improve accuracy of the algorithm. The Application Programming Interface (API) gateway is one of the most important components to any cloud service and it needs to apply different rate-limiting policies on API requests based on different requirements of different types of clients. Traditional client identification with …

Data-Driven Characterization Of Technical Debt In A Complex Information System, Abhishek Pathak, Hossein Moosavi Kooshki, Mazhar Haque, Girish Babu

Defensive Publications Series

Presented herein are techniques that provide a holistic and integrated abstraction among different categories of technical debt (TD) in a complex software system, as well as among different TD-related data sources such as logs, traces, telemetry, and metrics. The techniques presented herein allow for accelerated, automated, and evolutionary TD management in a complex software development life cycle (SDLC). The techniques learn the context throughout the SDLC pipeline and turn this context into actionable insights for use in repaying the technical debt at the earliest stages of the development process. The techniques presented herein provide an automated and low cost mechanism …

Automated Online Product Ads, Tuna Toksoz, John Dukellis

Defensive Publications Series

Online advertisements for products are typically created manually and integrated by the product seller into the ad network. The initiative for ad creation and integration generally rests with the product seller. There is some opacity in the pricing of such ads, resulting in periods when ads are mispriced.

This disclosure provides techniques that enable a third-party ad affiliate, e.g., not necessarily a product seller, to automatically generate product ads and price them based on the revenue they generate. For example, an auto-generated ad is priced based on a comparison between the cost of placing the ad and the referral fee …

Incentivizing Users To Watch Ads, Tuna Toksoz, John Dukellis

Defensive Publications Series

Advertisers, ad networks, and online publishers generally prefer that their ads be watched in their entirety. Rewarded ads are an ad format that tries to achieve end-to-end viewing of ads by incentivizing users to watch a video ad in exchange of a virtual good. However, not all apps have virtual goods to offer; for example, a flashlight app may not have a virtual good to offer.

This disclosure addresses the lack of virtual prize-goods by introducing an automated raffle into the rewarded ad format. Per the techniques of this disclosure, a reward of watching an ad is an entry into …

Electrostatic Discharge System For Modular Sensor Device, Hp Inc

Defensive Publications Series

The invention is a design for a printed circuit assembly (PCA) retention structure that grounds

the PCA without the use of dedicated components, tools to mount the PCA, or a grounding wire.

This design was developed for a modular sensor PCA which must be installed and replaced by

service technicians in tight spaces that do not accommodate the use of tools. Also, the addition of

dedicated components for grounding would have represented a material cost increase and

negatively impacted the ability to fit the PCA into the available space. The invention greatly

contributes to the long-term robustness and serviceability of …

Wireless Synchronization Of Multi-Protocol Access Points, Fred Anderson, Paul Stager, Matt Silverman

Defensive Publications Series

Techniques are described herein for leveraging observation receivers on Access Points (APs) to listen in-band to transmissions in the band of another AP. This enables performing time synchronization between devices without requiring any packet exchanges between devices to accomplish the synchronization.

Device For Moving A Confirmation Device - Spindle, Verena Schwaiger

Defensive Publications Series

No abstract provided.

Providing Reference Client Perspective For Enhanced Radio Frequency And Assurance Function, Indermeet Gandhi, Min Se Kim, Taranpreet Kohli, Gal Katz

Defensive Publications Series

Techniques are described through which a sensor can provide a client Radio Frequency (RF) perspective to a wireless infrastructure. This enables establishing ultimate close-loop telemetry data for root cause analysis on Wi-Fi® problems through an assurance engine. Exchange methods and enhanced measurement reports provide a client perspective of the ever-changing RF conditions autonomously or on-demand basis to the wireless infrastructure.

Reinforcement Learning Based Recommendation System For Software Upgrades, Parth Gaggar, Mansi Goel, Chandra Kamatam, Srinivasa Rao Aravilli

Defensive Publications Series

A software recommendation system that uses Reinforcement Learning to recommend the most suitable upgradable software versions to a customer. The software recommendation system takes into consideration the user's feedback and applies that learning to unseen cases, resulting in a better customer experience.

End To End Product Lifecycle Tracking And Record Retention Management System, Hp Inc

Defensive Publications Series

The lifecycle of a product is often complex. Complex in terms of the information associated to it

from the beginning as raw material to the end as a final product in the hands of the end‐user. At

every node of the supply chain, data/information are generated that needs to be retain for various

reason. Eg Country of origin from component to assembly, date/time of assembly or shipping route

the product when through. This idea is a method/system that manage parent to child identity node

to node tracking and retaining associated records/data/information throughout the supply chain

from beginning to end of …