Digital Commons Network^™

Method For Detecting Proximity Between Operator And Keyboard For Lighting Effect, Hp Inc

Defensive Publications Series

Gaming personal computers and accessories continue to grow in popularity worldwide. Demand

for new and unique aesthetic features by customers can give a PC supplier the competitive edge.

Disclosed is a method which integrates existing proximity sensor technology into gaming

keyboards to provide a unique lighting experience.

Current RGB gaming keyboard lighting features include programmable zone-based and per-key

based RGB backlighting. Most gaming keyboards include a list of effects such as Color Pulse,

Rainbow, or Static color zones. All features are either continuous or require a key on the

keyboard to be pressed to initiate the effect.

Virtual Keyboard With Hologram, Hp Inc

Defensive Publications Series

2nd display will be more and more popular in the future and keyboard picture will show

on the 2nd display. But bad typing feedback on cover glass without depth feeling and

2D key keyboard is hard to let user confirm right typing position. We provide new

structure can let end user see 3D floating keyboard or Image on the 2nd display. This 3D

image can switch on/off and can also provide end user better typing experience.

Smart Power Management For Open Slot Application, Hp Inc

Defensive Publications Series

In current PC systems, there are a lot of open slots which allow an end‐user to extend the

system features, for example, graphics cards, SATA/USB storage cards, NIC cards, Type‐C cards,

etc. Most of the add‐on cards are not required to work during sleep, hibernate, or shutdown

states, but they will still consume the system power in those system states.

This invention is to provide a comprehensive solution, including hardware (HW) and software

(SW), to identify the device type (installed in an open‐slot), monitor power, and cut OFF the

unnecessary standby power to reduce the system power consumption.

System And Method For Conference Attendees To Share Learning, Hp Inc

Defensive Publications Series

The disclosure described below enables conference attendees to share learnings to colleagues without

getting distracted with the preparation for better‐quality materials. The disclosure selects, based on a set

of cinemagraph presentations, supportive materials for compiling reports/slides. The method displays the

selected materials with the cinemagraph presentations.

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, …

Identifying Access Points On The Physical Periphery Of A Deployment, Sajjit Thampy, Zach Cherian

Defensive Publications Series

Techniques are provided for eliminating noisy alerts and bringing more relevant actionable alerts to the attention of a wireless network operator in an intent based system. This may be accomplished by differentiating and determining Access Points (APs) on the network periphery and down-weighting certain classes of problems.

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 …

Mechanism To Discover End-To-End Lossless Network Characteristic, Mouli Vytla

Defensive Publications Series

Techniques are described herein for a mechanism that is critical for Remote Direct Memory Access (RDMA) over Converged Ethernet version 2 (RoCEv2) adoption. This mechanism may enable discovering end-to-end lossless network characteristics in RoCEv2.

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.

Learning One Universal Machine Learning Model For Wi-Fi Under Diverse Devices And Environments, Dan Tan, Rob Liston, Xiaoqing Zhu, Herb Wildfeuer

Defensive Publications Series

Techniques are provided for associating similar devices and environments together so they can be effectively learned. Furthermore, a new device (e.g., smartphone) can be associated quickly with behaviors of other similar observed smartphones to avoid learning from scratch. Since wireless performance depends strongly on device and environments types, any machine learning method also needs to be conditioned on device and environment types.

Improving Monetization By Selecting Ad Network To Optimize Latency, Tuna Toksoz, John Dukellis

Defensive Publications Series

Web page or applications sometimes load slowly due to delays incurred in loading on-page or in-app advertisements. Such slow loading ads can lead to users becoming inattentive to the ad, and user attrition, thus reducing revenue and monetizable value of the property for the website owner or application developer.

This disclosure provides techniques that enable web publishers and app developers to compare ad networks for latency and to optimize the selection of ad networks from which an advertisement is inserted. The techniques also enable comparison of the cost-per-mille revenue derived from an ad network with the loss due to attrition …

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 …

Identifying Policy Violating Videos Based On User Behavior, Corey Lane, Eileen Long, William Chambers, Guillermo Krovblit

Defensive Publications Series

A mechanism is proposed for identifying policy violating videos based on user behavior. A content item service may identify a first video associated with a first probability value for the first video of violating one or more policies set within a content item service platform. The content item service may identify a plurality of other videos that have been co-watched with the first video using a co-watch graph. The content item service may calculate a score for the first video based on probability values for the plurality of other videos of violating the one or more policies and likelihood values …

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 …

Revenue Sharing Based On Ecpm And Video-Quality Metrics, Ruxandra Davies, Justin Lewis

Defensive Publications Series

Advertisement-based revenue generated from content, e.g., videos, hosted on content-sharing sites is typically shared between the content-creator and the content-hosting site based on click-through rates, number of ad impressions, etc. However, user-generated content is of varying quality, e.g., different content items enjoy different levels of viewer attention. A user that watches an advertisement that precedes a video often does not know if the video they are about to watch is the one they’re looking for. This disclosure addresses this problem by quantifying the value that content items bring to their viewer. The creator is paid based on the assessed value. …

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.

A Homotopy-Theoretic Method For The Purpose Of Intelligent Cloud Authorization, Lei Liu

Defensive Publications Series

The present disclosure describes an original and unique theoretical foundation, standard framework, model, and techniques for intelligent cloud authorization. The present disclosure provides for an original treatment to cloud authorization by topos generalization. The present disclosure sets up the theoretical foundation, develops the standard framework, and derives an inference-learn-deny model for intelligent cloud authorization. The present disclosure reinforces that topoi is an alternative universe in which homotopy analytics for intelligent cloud authorization is developed. The standardization derives two (co)monadic APIs for intelligent cloud authorization. The present disclosure characterizes intelligent cloud authorization in two different ways. First, the present disclosure develops …

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 …

Anomaly Detection Within Software Build Processes, Michael Butler, Tresa Johnson, John Micco

Defensive Publications Series

The building of software packages is a compute-intensive process, especially for relatively large software. Changes that can detrimentally affect the build process are often not detected until resource consumption impact reaches critical levels. These changes become increasingly difficult to detect and isolate as time passes from the date of the change, resulting in capacity crunches and an overall slowdown of the build process. This disclosure provides techniques to automatically detect resource consumption anomalies in the build process either in real time or soon after such anomalies arise. Anomalous events, e.g., relatively large changes in resource consumption not attributable to changes …

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, …

Automation To Prevent Query Parameter Exposure On Hypertext Transfer Protocol Get Requests, Amol Borole

Defensive Publications Series

Techniques are provided to allow an existing web application to seamlessly use custom HyperText Transfer Protocol (HTTP) headers under the hood. This resolves an entire category of web security problems without a major redesign at the feature level of code.

Location-Aware Networking Intent Enforcement, Akshya Kumar Singh

Defensive Publications Series

Techniques are presented to simplify user workflow by providing a controller that allows the user to define location based intent (profiles) at one central place. Rather than requiring the user to manually dig up the device location and feed in provisioning specific to that location on each device, the controller may simplify these operations by automatically feeding the location aware rules to devices as it learns the device location. Moreover, the user can change the policy rules for a specific location at any time, and the controller can automatically push the change to devices in real time. The user does …