Digital Commons Network^™

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.

“Fast Transition” Into Wireless Network Using 5g Security Context, Indermeet Gandhi

Defensive Publications Series

Techniques are described for using the concept of 802.11r Fast Base Station Subsystem (BSS) Transition in the security context generated between User Equipment (UE) and a 5G Radio Access Network (RAN) (UE – Next-Generation NodeB (gNB) security context) to provide “Fast Transition” into the wireless network. This eliminates the need for a separate handshaking mechanism, allowing security negotiation and requests for wireless resources to occur in parallel, thereby enabling faster, secure communication through the wireless link.

Automatic Binding Of Virtual Internet Protocol Address To The Appropriate Interface, Ravi Kumar Vadapalli, Srinivas Jakkam Shivaji, Kousik Nandy

Defensive Publications Series

Techniques are described herein for providing an innovative configuration model that requires a user to configure Virtual Internet Protocol (VIP) addresses in just one place, thus avoiding the possibilities of configuration error and also making the network infrastructure easy to deploy. For example, to configure four VIP addresses in a three-node cluster, state-of-the-art configuration models would require the user to touch/configure twelve values spanning across three appliances, which is cumbersome and error prone. By contrast, the configuration model described herein has just one touch point in the whole cluster.

On-Demand Multi-Factor Authentication For Automated Assistant Interactions, Lilin Wang, David Roy Schairer, Mark Spates Iv

Defensive Publications Series

Techniques set forth herein are related to on-demand dynamic requests for multi-factor authentication (“MFA”) challenges, such as two factor authentication (“2FA”) challenges. The MFA challenges can be selectively provided to a user in response to an interaction of the user with an automated assistant. In some instances, an MFA challenge is selectively provided by an automated assistant in response to a user interaction, with the automated assistant, that is an attempt to control a smart device of a third party, an attempt to transact with a third party, or other attempted interaction with a third party. In some of those …

System And Method Of Visually Constructing A Progressively Downloadable Application, Benjamin Frenkel, Jacob Slack

Defensive Publications Series

A system and method are disclosed to visually construct a progressively downloadable application. The system may be configured to record a session of an application running on a user device. The system may then generate a visual timeline of the application session and provide the timeline to a developer. The developer may mark points on the visual timeline to demarcate downloadable segments of the application separately. The demarcated segments of the application may be packaged to develop a progressively downloadable version of the original application. Further, the developer may export the new progressively downloadable version of the application to the …

A Method For Password Recovery Using A Quorum Of Companion Devices, Hp Inc

Defensive Publications Series

A threshold-signature-based password recovery technique uses a quorum of

user devices to recover a password of the user more securely than prior techniques.

Adaptive Printhead Configuration To Provide Functional Compensation To The System With Physical Failures To Minimize The Impact Of Productivity, Hp Inc

Defensive Publications Series

The idea proposed in this disclosure is focused to minimize one of the most important metrics for our

industrial customers. Printing down is not evitable at all from time to time, so it turns into downtime, that

can be from hours to days within most of cases which are not predictable. If unfortunately, at the same time,

the customer is managing urgent jobs which do not have enough margin in time, it will end up most of time

with financial losses due to delivery delay and/or compensation to his/her customer.

Automated Conversational Post-Visit Api, David Tigges

Defensive Publications Series

Effective follow-up is important for patient health recovery. This disclosure describes automated and natural language enabled follow-up of patients in healthcare settings. Information pertaining to multiple health conditions and treatments is archived. Subsequent to a patient visit to a provider and with explicit permission from the patient, a natural language post-visit application program interface (API) is utilized in a telephonic dialog with the patient. Queries are posed to the patient with regard to specific issues experienced by the patient. With user permission, user responses are analyzed and suitable actions are executed by utilizing the post-visit API. Past interactions are utilized, …

Optimization Of Optimal Article Content For The Internet For Article A/B Testing, N/A

Defensive Publications Series

The present disclosure describes systems and methods for generating optimized content for the internet. According to aspects of the present disclosure, a computing system can obtain content data and/or metric data. The computing system can generate article data representing one or more article forms based at least in part on content data, and determine network traffic allocation data for the one or more article forms. The computing system can monitor one or more objectives associated with each article form of an article to optimize content for the article, and/or select a winning article form for the article. Keywords associated with …

Context-Aware Debug Channel Authentication For Device Testing, N/A

Defensive Publications Series

Testing of a consumer device often includes coupling the device to a host computer and running test suites from the host computer. For authentication purposes, the device typically includes an extra image, e.g., a replica of the software to be tested on the device, which includes a pre-loaded debug bridge key. However, for testing of the complete software stack, e.g., including hardware-dependent portions, a new image cannot flash (overwrite) the existing image on the device, since the device is to be tested with as-shipped software. As a result, automated testing is not possible without a manual device bring-up step.

This …

Empathetic And Mindful Virtual Assistant, Sammy El Ghazzal, Migle Padegimaite

Defensive Publications Series

Virtual digital assistants generally do not account for the user’s emotional context. As a result, the responses of a virtual assistant may not better the user’s mood.

This disclosure describes techniques by which an assistant detects with user permission the current emotional context of the user, and uses it to modulate its responses. For instance, if the assistant detects that the user is in a sad mood, it focuses its utterances on positive developments. A request for news by the user results in positive news items, e.g., “unemployment is down,” or “USA won the Olympics.” A request for playing a …

Audio Ads Endorsed Socially, Tuna Toksoz, John Dukellis

Defensive Publications Series

With the advent of conversational smart assistants, users are increasingly spending time with screen-free devices and audio media. Advertisers want to effectively reach these users and engage with them. However, at present they lack ad formats beyond television and radio style commercials, which are generic broadcast ads not personalized to the user. This disclosure describes audio ads that are endorsed by individuals within a user’s social network. An advertiser collates comments about a product through social media. The social network of commentators who favorably view the product is determined. With the permission of such commentators, their comments about the product …

Question And Answer Audio Ads, Tuna Toksoz, John Dukellis

Defensive Publications Series

With the advent of conversational smart assistants, users are increasingly spending time with screen-free devices and audio media. Advertisers want to effectively reach these users and engage with them, but they currently lack formats beyond traditional television and radio commercials.

This disclosure describes interactive audio ads tailored to the user interface of a conversational smart assistant. The audio ads feature questions posed by the advertiser and paths that the ad can follow based on user responses. With user consent, user responses are tracked such that they don’t receive the same ad repeatedly. With user consent, user responses are accumulated such …

Preserving Control-Plane Performance At Scale In On-Demand Fabrics Via Priority Queueing, Marc Portoles Comeras, Johnson Leong, Alberto Rodriguez Natal, Balaji Pitta Venkatachalapathy

Defensive Publications Series

Techniques are provided for establishing priorities between different signaling messages and using a priority queueing/scheduling mechanism that will preserve performance guarantees of a centralized control plane even in scaled up systems with high signaling load. This builds on the key observation that there can be established a direct relation between signaling mechanisms in on-demand overlay fabrics and their contribution to the convergence of the network after a network update.

Messaging Continuity And Lead Generation Using Conversational Ads, Dario Rapisardi, Bo Tian, Amit Fatnani

Defensive Publications Series

Conversational ads are an immersive and engaging ad format where users can directly chat or interact with the ad unit instead of clicking out to a destination URL. Such ads are available on mobile web, on display web, and on mobile apps. However, the conversation ends when the user switches to a different web page or closes the mobile app.

The techniques of this disclosure integrate CAs with messaging services, e.g., rich communication services (RCS), such that users and advertisers can seamlessly continue to chat after the CA session ends. Per the techniques, a user’s continued engagement after a chat …

Ad Points: Rewards To Engage With Ads, Gang Wang, Cindy (Yian) Gao

Defensive Publications Series

Visitors to publisher websites have generally come to regard publisher content and services as free. Consequently, revenues from advertising account for the majority of publishers’ revenues. In ad-supported free access to information, there is an implicit value transfer to users, which users do not always realize. Users take actions such as installing of ad-blockers, tracking preventers, etc. that can diminish revenue to publishers.

This disclosure presents techniques that make the value transfer more apparent by rewarding users who participate in the ad ecosystem, e.g., by completing ad surveys; by opting in for personalized ads; by sharing ads; by making purchases …

Content Delivery Adjusted Based On User Attention, Richard Earnshaw, Eugenio J. Marchiori, Peter Josling, Abhijit Chandgadkar

Defensive Publications Series

Online content delivery is often personalized based on a user’s profile and characteristics or other relevant contextual factors. Such personalization is typically predetermined and not adjusted in real-time as a user interacts with the content. With user permission, the techniques of this disclosure utilize real-time signals regarding the user’s engagement with content and adjust content delivery to fit the engagement patterns of the user, thus better matching user expectations.

Voice-Based Responses Customized To User Personality, Victor Cărbune, Thierry Coppey

Defensive Publications Series

People are known to have different personality types, each corresponding to its own typical behaviors and preferences. Personality type can influence how an individual perceives received messages, e.g., voice-based responses from a digital assistant. However, current digital assistants provide speech out that is not customized to the user’s personality. This disclosure presents techniques for applications that provide voice-based user interact to adapt the messages communicated to a user to suit the personal characteristics of the user. User’s personality is inferred with specific user permission and is based on one or more user-permitted factors. For users that do not provide permission …

Selection Of Images For Automatic Display Based On Image Capture History, Sanjay D'Abreu Noronha

Defensive Publications Series

Users have extensive collections of digital photographs and videos available for display on their devices. This disclosure describes techniques to perform selection and suggestion of digital images in a user’s collection for display on a device. With user permission, image subjects that are more relevant to the user’s current or recent interests are selected and/or suggested, based on the frequency, recency, and visual quality of subjects appearing in the collection. Images depicting selected subjects are displayed on a display screen of a device.

Detecting Malware Based On Mismatch Between User Interface And Computation Load, Victor Cărbune, Alexandru Damian

Defensive Publications Series

Techniques to detect malicious code running underlying a user interface are described. The software application is detected as potential malware if a mismatch is detected between the interface presented to the user and computations performed by the application that presents the user interface. A trained machine learning model is applied for such detection. With user permission, a sequence of rendered images that represent the user interface and a sequence of execution traces sampled from computational operations performed by the application that presents the interface are provided as inputs the model. The model outputs a score indicative of appropriateness of the …

Customized Dynamic Application Delivery Based On User Need, Victor Cărbune, Sandro Feuz

Defensive Publications Series

Presently, user devices download and install entire software applications even when only a part of the application functionality is used by a user of the device. As a result of the presence of functionality that is unlikely to be needed, download of the application likely uses more bandwidth. Further, the application code takes up more storage space on the device and uses more memory during runtime. This disclosure utilizes dynamic assembly to deliver an application package that includes only the functionality that fits user’s needs, device configuration, and context, as determined by a trained machine learning model.

Dynamic Generation Of A Custom Application By Combining Parts Of Different Applications, Victor Cărbune, Sandro Feuz

Defensive Publications Series

Presently, users need to use multiple different applications of the same service provider to access the different functionalities provided by each app, rather than use a single application. As a result, users need to download, install, and maintain a large number of applications on their user devices to utilize various services accessible via their account with the service provider. This disclosure utilizes dynamic assembly of application components to deliver an application package that includes the features of the user’s interest from multiple applications of multiple service providers, when service providers allow such combination.

Content Aware User Interface Retargeting, Jan Althaus, Sebastian Millius, Lukas Zilka

Defensive Publications Series

This disclosure describes the preservation of important elements of a user interface (UI) during retargeting of the interface image on a mobile device. An on-device machine learned (ML) model is utilized to detect saliency or lack thereof of various UI elements in the user interface. Training of the ML model is performed by utilizing training data from repositories of software application designs and screenshot data from online marketplaces and app evaluation services.

The trained ML model is utilized to detect salient UI elements that are to be preserved during display retargeting. During resizing of the UI, with express user permission, …

Establishing A Trusted Federation Of Wireless Access Points, Jiwoong Lee, Jérôme Poichet

Defensive Publications Series

A federation of wireless access points (APs) enables superior network connectivity when compared to a single wireless AP. This disclosure describes secure formation of an AP federation. An AP discovers the presence of a neighboring AP by detection of beacons and probe responses transmitted by the neighboring AP or by explicit transmission of a probe request. A known credential is presented by the AP to the neighboring AP to establish a connection and obtain an IP address. A federation service discovery message is transmitted specifying a port number and the IP address associated with the neighboring AP. A response message …

End-To-End Time-Sensitive Networking Connecting 5g Slices, Robert Barton, Maik Seewald, Jerome Henry

Defensive Publications Series

Techniques are described herein for deploying 5G slices in conjunction with Time-Sensitive Networking (TSN) in the backhaul network. The system employs a network controller that both provisions the backhaul device scheduling and path detection, and combines it with the aligned requirements of the 5G slice and builds and enforces a Service Level Agreement (SLA) to meet the TSN needs. The system finally manages the end to end system by connecting the fronthaul 5G network with the wired backhaul network.

Automatic Obfuscation Of Sensitive Content On Locked Devices, Victor Cărbune, Pedro Gonnet

Defensive Publications Series

The content of notifications from the device operating system and applications is displayed on the screen of a device even when the device is locked. Such notifications make private or sensitive information accessible by other parties without unlocking the device. To counter this risk, device operating systems allow users to hide notification details when the device is locked. However, such hiding results in significant loss of understandability and utility of notifications. Per techniques of this disclosure, a trained machine learning based model is applied with specific user permission to identify sensitive content by analyzing pixels of the device lock screen …

Relative Color Commands For Smart Lights And Color Interrogatives For Smart Lights, Karen Kincy

Defensive Publications Series

Techniques are set forth that relate to user interactions with smart lights using an automated assistant. Some techniques enable an automated assistant to appropriately respond to a user request to change the color of smart light(s), such as requests where the color is indicated in the request in relative terms (e.g., “more blue”, “a touch redder”, “a lot greener”). For example, a user can request an automated assistant to make one or more smart lights “more red”. The automated assistant can determine an appropriate command for making the smart light(s) “more red”, and transmit that command to the …

Notifications For Switching Attention To Ongoing Real-World Tasks, Victor Carbune, Alexandru Damian

Defensive Publications Series

Oftentimes, use of a device results in a change user focus from a real-world activity to the device screen. In many cases, such an attention shift has a negative impact on the user and the ongoing real-world task. This disclosure describes application of a trained machine learning model to detect when the user’s attention to an ongoing real-world task is diminished due to device use. When such a switch is detected, a special assistive operating mode is activated for the device. The mode enables mechanisms aimed at helping the user stay informed of the ongoing real-world task and notifying them …

Semi-Supervised Machine Learning Of Intent Data Models Based On Group Based Policy, Sudhir Rustogi

Defensive Publications Series

Techniques are described herein for using semi-supervised machine learning to simplify an intent interface for end users by allowing a user to specify key network features in which they are interested. A continual learning based approach better adapts to a continuously changing intent interface and simplifies the experience for end users. The semi-supervised learning algorithm learns the reverse mapping (stored in an intent cache database) of Group-Based Policy (GBP) policy templates expressed using data models (e.g., as Yang models) as well as user network feature key words given a set of existing network configuration use cases provided as topology network …

Earthquake Early Warning System, Alexei Barski, Marc Stogaitis, Steven Malkos, Robert Bosch

Defensive Publications Series

In the event of an earthquake, a warning system can significantly aid those in affected areas as well as emergency response personnel. A few-seconds warning can allow a person to seek protection from falling objects, exit enclosed spaces (such as elevators), or move away from windows. Additionally, automatic systems could engage to send a message regarding an individual’s location, shut down gas pipelines, or prevent a subway train from departing a station. Current earthquake warning systems collect information from seismographic measuring stations to both monitor current tectonic conditions and alert personnel when those conditions become unstable. Unfortunately, cost and other …