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Automatic Issue Identification And Clustering, Petr Pilar, Mike Zuniga, Vladimir Yakovlev, Daniel Balle, Norbert Kalb, Stephan Wenger, Martin Baeuml
Automatic Issue Identification And Clustering, Petr Pilar, Mike Zuniga, Vladimir Yakovlev, Daniel Balle, Norbert Kalb, Stephan Wenger, Martin Baeuml
Defensive Publications Series
Search engines and virtual assistants receive a large number of queries, and also report a large number of issues such as user queries that didn’t work, triggered the wrong features, or were not understood due to speech recognition errors, etc. This disclosure presents techniques that cluster similar issues, identify issues with the largest impact, and identify the root cause of an issue. The techniques scale easily, detect large patterns of similar issues, and prevent one-off fixes that need repeated application across similar issues. The techniques help improve the search engine or virtual assistant to provide responses that are more reliable, …
One Time Sharing Of Data Between Apps On Mobile Devices, Armijn Hemel
One Time Sharing Of Data Between Apps On Mobile Devices, Armijn Hemel
Defensive Publications Series
Sometimes there are situations where data needs to be shared between mobile devices, but where the users of the mobile phones do not want to share phone numbers, e-mail addresses or transfer data via Bluetooth or NFC.
Laptop Enclosure With Integrated Keyboard Feature Plate, Valentin Shaun De La Fuente
Laptop Enclosure With Integrated Keyboard Feature Plate, Valentin Shaun De La Fuente
Defensive Publications Series
Laptop keyboard designs typically include a keyboard module that utilizes a stainless steel feature plate to support the keys and to mount the keyboard module to the laptop. This disclosure describes a laptop enclosure with an integrated keyboard feature plate. Other elements of keyboard assembly such as keyboard keys and membrane are top loaded into the laptop enclosure. A keyboard webbing is laminated to the enclosure to complete the assembly. By eliminating the use of a separate feature plate, thinner and lighter laptop designs are enabled.
Continuous Casting Of Multi-Alloy Metal Products And Related Methods, Peter L. Redmond, Rajeev G. Kamat, Aude Despois, Sazol Das, Richard Burrows, Samuel R. Wagstaff
Continuous Casting Of Multi-Alloy Metal Products And Related Methods, Peter L. Redmond, Rajeev G. Kamat, Aude Despois, Sazol Das, Richard Burrows, Samuel R. Wagstaff
Defensive Publications Series
Described are multi-alloy metal products formed by a continuous casting system, as well as methods of continuously casting multi-alloy metal products. The disclosed multi-alloy metal product includes a plurality of layers of metallurgically bonded together metal alloys. The layers can be distributed along the thickness of the metal product or along the width of the metal product. The disclosed continuous casting system includes a plurality of injectors configured to simultaneously inject a plurality of metal alloys into a casting cavity to form the multi-alloy metal product.
Accuracy Evaluation Of Automated Speech Transcription Via User Feedback, Omar Abdelaziz, Justice Ogbonna, Ágoston Weisz, Ragnar Groot Koerkamp, Xinran Lu, Saisuresh Krishnakumaran, Tâmara Baía, Vladimir Vuskovic, Tony Yu
Accuracy Evaluation Of Automated Speech Transcription Via User Feedback, Omar Abdelaziz, Justice Ogbonna, Ágoston Weisz, Ragnar Groot Koerkamp, Xinran Lu, Saisuresh Krishnakumaran, Tâmara Baía, Vladimir Vuskovic, Tony Yu
Defensive Publications Series
Effective operation of a voice-activated virtual assistant requires accurate speech recognition. Manual determination of the accuracy of machine-generated speech transcriptions requires involvement of third parties to evaluate transcriptions of a user’s speech. Automated accuracy evaluation approaches that use machine-generated speech as input and determine quality of transcription have limited effectiveness since the machine-generated speech is a poor proxy for real-world user speech, e.g., volume of input, microphone and room characteristics, pronunciations, etc. This disclosure describes obtaining user confirmation of the transcription of a small subset user queries as performed by a virtual assistant or other applications that accept speech input. …
Indoor Location Tracking That Preserves Electronic Privacy, Pål-Erik Martinsen
Indoor Location Tracking That Preserves Electronic Privacy, Pål-Erik Martinsen
Defensive Publications Series
Techniques are described herein to provide indoor tracking of people and/or assets. The techniques track infrared beacons by processing video footage captured by preexisting or newly installed indoor surveillance cameras. The infrared beacons can be installed on or incorporated into assets (e.g., ladders in a warehouse, conference room equipment in a shared office space, etc.) and/or be provided as independent apparatuses that can be worn or carried by users. The tracking techniques do not need to perform facial recognition or interact with personal computing equipment of people being tracked (e.g., smartphones, laptops, etc.) and, thus, preserve privacy for people working, …
Maximum Transmit Power Level Controller Architecture For Simultaneous Transmission, Gregory Black, Bob Trocke, Shawn Yang, Jie Song, Jibu Joseph
Maximum Transmit Power Level Controller Architecture For Simultaneous Transmission, Gregory Black, Bob Trocke, Shawn Yang, Jie Song, Jibu Joseph
Defensive Publications Series
A mobile device configured to operate within a wireless communication network includes a Maximum Transmit Power Level (MTPL) controller. In order to meet specific absorption rate (SAR) limit requirements during simultaneous transmissions or during a dual connection mode, the mobile device employs a compact look-up table containing MTPL values and offset values. The MTPL controller generates runtime MTPL values for instances when the mobile device is operating in a stand-alone mode and for instances when the mobile device is operating in a simultaneous transmission mode. In the simultaneous transmission mode, the runtime MTPL value is generated by offsetting an MTPL …
Monetization Abuse Detection Based On Co-Watch Similarity, Luca Chiarandini, Lukasz Heldt
Monetization Abuse Detection Based On Co-Watch Similarity, Luca Chiarandini, Lukasz Heldt
Defensive Publications Series
A system for detecting monetization abuse by channels of content sharing networks is disclosed. The proposed system uses machine learning methods to generate a predictive model capable of being applied to channels to determine a likelihood that the channel is engaged in monetization abuse. Specifically, the proposed system may train a machine learning classifier using a plurality of training videos. The training may be based on generating clusters of videos and identifying which clusters are risky. The machine learning classifier may then be applied to existing and new channels to detect monetization abuse (e.g., channels uploading inappropriate content) and flag …
Fusion Of Speech And Gesture Inputs For Improved Speech Recognition, Tyler Thornblade
Fusion Of Speech And Gesture Inputs For Improved Speech Recognition, Tyler Thornblade
Defensive Publications Series
While speech is an important input mechanism used in many products, interpretation of user speech is challenging when the user input is ambiguous, e.g., due to the presence of punctuation or commands, as opposed to only verbatim text. This disclosure describes the utilization of a combination of speech analysis and gesture recognition to automatically disambiguate between verbatim text input (dictation) and commands. User provided speech and gestures are analyzed and used for interpretation of the spoken input, without the user having to switch between text entry and command entry modes.
Optimal Method To Control Measurements Of User Equipment Based On Indications Of Device Inactivity, Madhu Venkata, Shivank Nayak, Qin Zhang, Jibing Wang, Siddharth Ray, Sat K, Srinivas Vangaru, Blake Kragten
Optimal Method To Control Measurements Of User Equipment Based On Indications Of Device Inactivity, Madhu Venkata, Shivank Nayak, Qin Zhang, Jibing Wang, Siddharth Ray, Sat K, Srinivas Vangaru, Blake Kragten
Defensive Publications Series
A multimodal user equipment (UE) monitors various operational conditions indicative of reduced reliance on multimodal capabilities, such as a deactivated display, an immobile UE, low data consumption by background software applications, or a low battery level, and selectively enters a reduced multimodal mode in which the frequency at which measurement operations are performed for various supported radio access technologies (RATs) or radio frequencies is reduced. This results in a reduction in the amount of power and processing bandwidth that otherwise would be consumed if performing these measurement operations at their normal rates.
Handling Of Extensible Authentication Protocol Based Non-Access Stratum Authentication Failures, Roy Lin, Poying Chuang
Handling Of Extensible Authentication Protocol Based Non-Access Stratum Authentication Failures, Roy Lin, Poying Chuang
Defensive Publications Series
In a 5G System (5GS), the network initiates and controls the authentication method, meaning that the network determines whether the user equipment (UE) and the network use EAP-based NAS authentication or 5G AKA-based NAS authentication for the mutual authentication of the UE and the network. The specification for 5GS presumes that in a 5G standalone case, the UE supports both EAP-based NAS authentication and 5G AKA-based NAS authentication. However, not all wireless carriers have required support for EAP-based NAS authentication. As a result, many UEs manufactured do not support EAP-based NAS authentication. This publication describes techniques for preventing an authentication …
Arrive Smartly Software Function As Part Of A E-Vehicle Navigation Software, Verena Blunder
Arrive Smartly Software Function As Part Of A E-Vehicle Navigation Software, Verena Blunder
Defensive Publications Series
No abstract provided.
Assistance Function As A Driving Trainer, Verena Blunder
Assistance Function As A Driving Trainer, Verena Blunder
Defensive Publications Series
No abstract provided.
Display Kinematics Staging For The Piloted Driving, Verena Blunder
Display Kinematics Staging For The Piloted Driving, Verena Blunder
Defensive Publications Series
No abstract provided.
Function For The Comparative Assessment Of Route Alternatives Using A Virtual Twin (Avatar), Verena Blunder
Function For The Comparative Assessment Of Route Alternatives Using A Virtual Twin (Avatar), Verena Blunder
Defensive Publications Series
No abstract provided.
Generation Of High-Precision Maps By Means Of Vehicle Sensor Data And Ground Truth Maps, Verena Blunder
Generation Of High-Precision Maps By Means Of Vehicle Sensor Data And Ground Truth Maps, Verena Blunder
Defensive Publications Series
No abstract provided.
Intelligent Exhaustrial Documentation - Procedure And Control For Additional Characteristics For An Emission Quantity-Dependent Flexible Distribution Scheme, Verena Blunder
Defensive Publications Series
No abstract provided.
Increasing Driver Attention Through Guided Mediation And Attention Training, Verena Blunder
Increasing Driver Attention Through Guided Mediation And Attention Training, Verena Blunder
Defensive Publications Series
No abstract provided.
Method For The Indication Measurement Of Microstructures (Nosearc Formation) On Mechanically Roughened Cylinder Tracks, Verena Blunder
Method For The Indication Measurement Of Microstructures (Nosearc Formation) On Mechanically Roughened Cylinder Tracks, Verena Blunder
Defensive Publications Series
No abstract provided.
Performing Gnss Shadow Matching For User Equipment With Varied Carrying Positions, Kevin Watts, Michael Fu
Performing Gnss Shadow Matching For User Equipment With Varied Carrying Positions, Kevin Watts, Michael Fu
Defensive Publications Series
This publication describes apparatuses, methods, and techniques for performing Global Navigation Satellite System (GNSS) shadow matching for user equipment (e.g., smartphones) with varied carrying positions, such as in a user’s hand, pocket, purse, backpack, and so forth. To do so, the smartphone utilizes an Urban Canyon Positioning Algorithm to find line-of-sight (LOS) signals of satellites of the GNSS. Then, the Urban Canyon Positioning Algorithm estimates a signal-strength degradation of the LOS signals due to the carrying position, such as when the user puts their smartphone in their pocket. After estimating the signal-strength degradation of the LOS signals, the Urban Canyon …
Gnss Shadow Matching In A Changing Urban Environment, Kevin Watts, Diana Delibaltov
Gnss Shadow Matching In A Changing Urban Environment, Kevin Watts, Diana Delibaltov
Defensive Publications Series
This publication describes apparatuses, methods, and techniques for performing Global Navigation Satellite System (GNSS) shadow matching in a changing urban environment. To do so, a user equipment (e.g., a smartphone) utilizes a comprehensive positioning algorithm. The smartphone can measure a signal strength of satellites of the GNSS. When the signal strength matches an expected shadow, the comprehensive positioning algorithm can utilize GNSS data, area network data, inertial data, and an Urban Canyon Positioning Algorithm. The Urban Canyon Positioning Algorithm uses GNSS shadow matching data to increase user location accuracy in the urban environment. When the signal strength does not match …
Sequential Likelihood Updates For User Position Estimation With Gnss Signal Strength Matching, Kevin Watts
Sequential Likelihood Updates For User Position Estimation With Gnss Signal Strength Matching, Kevin Watts
Defensive Publications Series
This publication describes apparatuses, methods, and techniques for performing Global Navigation Satellite System (GNSS) shadow matching that can increase user location accuracy in an urban environment by appropriately calculating and reporting sequential likelihood (probability) updates for user location estimation. To do so, an electronic device (e.g., a smartphone) utilizes an Urban Canyon Positioning Algorithm, which uses particle filters to solve filtering problems arising in Bayesian statistical inference. The Urban Canyon Positioning Algorithm performs sequential likelihood updates for user position estimation by weighting various particles of the particle filters to account for numerous factors, such as the number of GNSS signals, …
Vehicle Theft Tracking Function For Breakdown And First Aid Assistance With Gawker Suppression Function, Verena Blunder
Vehicle Theft Tracking Function For Breakdown And First Aid Assistance With Gawker Suppression Function, Verena Blunder
Defensive Publications Series
No abstract provided.
Switchable Speaker Driver For Power-Efficient Proximity Sensing And Device Wake-Up, Fang Liu, Nicholas Jordan Sanders, David F. Chang
Switchable Speaker Driver For Power-Efficient Proximity Sensing And Device Wake-Up, Fang Liu, Nicholas Jordan Sanders, David F. Chang
Defensive Publications Series
This disclosure describes power-efficient ultrasonic techniques for proximity detection and device wake-up from sleep mode. In sleep mode, the host application processor, e.g., the main device processor, is inactive. A low-power embedded controller remains on during sleep mode and generates an ultrasonic waveform that is amplified by a low-power speaker driver that also remains on during sleep mode. In some of the described architectures, a switch is provided that switches between the low-power speaker driver in sleep mode and a high-power speaker amplifier in active mode. A microphone captures echoes of reflected ultrasonic waves. Echoes arising from within a certain …
Real-Time Clothing Size Estimation Using Body Segmentation, Jason Mayes
Real-Time Clothing Size Estimation Using Body Segmentation, Jason Mayes
Defensive Publications Series
Users that shop for clothes online need to select the appropriate clothing size from available options. This can pose a problem since different brands define sizes (e.g., small, medium, large, etc.) differently. This disclosure describes techniques that enable a user to measure body dimensions relevant to clothing size, e.g., chest, waist, inseam, etc., based on capturing images of the user. The techniques can be implemented using the camera and the browser of the user’s device, such that clothing-size measurement is frictionlessly integrated with the online shopping experience.
Filtering Videos Based On Protected Topics, N/A
Filtering Videos Based On Protected Topics, N/A
Defensive Publications Series
Disclosed herein is an improved mechanism for filtering videos based on protected topics. The mechanism can begin by identifying a particular portion of search queries for videos (e.g., the top X percent of search queries for videos). The mechanism can then determine a group of topics to be protected based on the identified search queries. The mechanism can, for each protected topic in the group of topics, identify a subset of channels that provide videos that are associated with the protected topic (e.g., the top N channels that provide videos associated with the protected topic). The mechanism can, for each …
Identifying Abusive Videos By Detecting And Removing Video Overlay Content, Johannes Schuler
Identifying Abusive Videos By Detecting And Removing Video Overlay Content, Johannes Schuler
Defensive Publications Series
Disclosed herein is an improved mechanism for identifying abusive videos by detecting and removing video overlay content. The mechanism can begin by detecting whether an overlay is present within multiple frames of a video. For example, the mechanism can detect the presence of an overlay by determining gradients between multiple frames of a video and can estimate that the overlay that has been applied to one or more frames of the video based on a median of the determined gradients. For the frames of the video, the mechanism can then remove the overlay from the frames of the video. For …
Avoiding Unnecessary Wi-Fi Connections While Moving, Ning Zhang, Oscar Shu
Avoiding Unnecessary Wi-Fi Connections While Moving, Ning Zhang, Oscar Shu
Defensive Publications Series
A highly-mobile user equipment (UE) may use a cellular connection over a wireless local area network (WLAN) connection. For example, when a candidate WLAN access point (AP) is encountered, the UE first ensures that the WLAN AP is present in the last two WLAN AP scans performed at least a threshold duration apart. The difference in the Received Signal Strength Indicator (RSSI) of a candidate WLAN AP over the last two WLAN AP scans is compared to a threshold. If the difference in RSSI is greater than the threshold, the WLAN AP is identified as likely having a coverage area …
Joint Graph-Based Reasoning For Interacting With A User, Anonymous
Joint Graph-Based Reasoning For Interacting With A User, Anonymous
Defensive Publications Series
After coreference resolution is completed by an automated assistant in an augmented reality (AR) device or smartphone, the automated assistant performs a joint graph-based reasoning method to conduct an intelligent dialog with a user. The joint graph-based reasoning method uses information from various data sources (such as a scene graph, memory graph, knowledge graph, etc.) that enables the automated assistant to provide responses to comments that are provided by the user during the dialog. The automated assistant performs the dialog with the user for shopping, visual question answering (VQA), or other interactive user activity.
Multi-Modal Visual And Memory Coreference Resolution, Anonymous
Multi-Modal Visual And Memory Coreference Resolution, Anonymous
Defensive Publications Series
An automated assistant in an augmented reality (AR) device or smartphone performs coreference resolution. The automated assistant resolves references that are mentioned in a user’s dialog, e.g., audio input, by analyzing the audio input, visual input, and stored information that represents the user’s memory. The automated assistant performs the coreference resolution so as conduct an intelligent dialog with the user for shopping, visual question answering (VQA), or other interactive activity.