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Grounding Structure Designs That Mitigate Undesired Resonances In High-Speed Signals, Yansheng Wang, Hanfeng Wang, Ken Wu Jun 2019

Grounding Structure Designs That Mitigate Undesired Resonances In High-Speed Signals, Yansheng Wang, Hanfeng Wang, Ken Wu

Defensive Publications Series

This publication discusses a specific ground-signal-signal-ground (GSSG) configuration of a high-speed differential signal pair. Simulations show that frequency resonances occur when a quarter-wavelength resonant structure is unintentionally created, which causes the observed frequency resonances. To remove the resonances, this publication recommends two design methods. Each proposed method has its own benefits and limitations. The proposed solutions may be treated as design rules for similar high-speed differential signal pairs.


Optimizing For Interpupillary Distance In Augmented Reality Eyewear, Shiblee Hasan Jun 2019

Optimizing For Interpupillary Distance In Augmented Reality Eyewear, Shiblee Hasan

Defensive Publications Series

To create an accurate field of view (FoV), augmented reality (AR) eyewear is optimally matched to the user’s interpupillary distance (IPD). However, the IPD varies from person to person. This disclosure describes AR eyewear that (with user permission) automatically measures the IPD of a user and adjusts its depth and width to match the user’s IPD. The user facing interface is personalized based on the physical FoV of the user’s eyes.


Improving Call Quality By Generation Of Replacement Packets, Mukesh Agrawal, Marie Janssen, Zaccariah Troy Bowling Jun 2019

Improving Call Quality By Generation Of Replacement Packets, Mukesh Agrawal, Marie Janssen, Zaccariah Troy Bowling

Defensive Publications Series

Voice communications often suffer from lost packets due to, e.g., radio channel fades, network errors, etc., resulting in audio glitches and poor call quality. This disclosure describes machine learning techniques to replace lost packets. By masking audio glitches and providing continuity, the replacement packets improve call quality as perceived by call participants.


Motorized Coil Wireless Charger With Computer Vision Assisted Alignment, Liyu Yang, Liang Jia, George Hwang, Srikanth Lakshmikanthan, Srenik Mehta Jun 2019

Motorized Coil Wireless Charger With Computer Vision Assisted Alignment, Liyu Yang, Liang Jia, George Hwang, Srikanth Lakshmikanthan, Srenik Mehta

Defensive Publications Series

This disclosure describes techniques for a wireless charger to identify a device e.g., smartphone, wireless headset, smartwatch etc. that is placed on a charging surface and to automatically align the transmitter coil to the exact location of the receiver coil. When a device is placed on charging surfaces, cameras on the wireless charger captures images of the device. The image is processed to construct a three-dimensional model and identify the exact model of the device to determine the location of the receiver coil within the device relative to the charging surface. When the location of the receiver coil is determined, …


Motorized Coil Wireless Charger With Coil Alignment Mechanism, Liyu Yang, Liang Jia, Srikanth Lakshmikanthan, George Hwang, Srenik Mehta, Rob Shone, Rahul Apte Jun 2019

Motorized Coil Wireless Charger With Coil Alignment Mechanism, Liyu Yang, Liang Jia, Srikanth Lakshmikanthan, George Hwang, Srenik Mehta, Rob Shone, Rahul Apte

Defensive Publications Series

The disclosure describes techniques to improve power transfer efficiency of a wireless charger through a coil alignment mechanism. A transmitter coil of a wireless charger is configured with step motors and gears, and can travel in a radial motion and towards or away from a central point to align with the receiver coil of a device across the charging surface. Further, the transmitter coil can also be moved in a direction perpendicular with respect to the charging surface which can help optimize the distance from the receiver coil. Charging efficiency and stability between the transmitter and receiver coils are measured …


Recommending Content Based On Anticipated Knowledge Gain, Victor Cărbune, Alexandru Damian Jun 2019

Recommending Content Based On Anticipated Knowledge Gain, Victor Cărbune, Alexandru Damian

Defensive Publications Series

This disclosure describes machine learning techniques to automatically remove, reorder, or prioritize segments of content such that users can quickly access information that is new to them. With user permission, data such as user profile, historical content consumption patterns and its relevance, etc. is obtained. This data is used to chunk and rank historical content segments based on relevance to the user. A machine learning model is trained to identify new content (or segments thereof) based on the knowledge gain that the content is likely to provide to the user.


Multi-Camera Arrays To Detect Posture, Jonathan D. Hurwitz, Christina L. Gilbert Jun 2019

Multi-Camera Arrays To Detect Posture, Jonathan D. Hurwitz, Christina L. Gilbert

Defensive Publications Series

This disclosure describes techniques that, with user permission, automatically detect the posture of a user of a personal computer. The user’s posture is detected using hardware typically found on a desktop or laptop PC, e.g., cameras, without requiring extra sensors or other additional hardware. If the detected posture is determined to be poor, the user is alerted. By detecting and alerting the user of poor posture, the techniques can help forestall health problems. The techniques are implemented with user permission. Users are provided with options to turn off posture detection.


Anti-Spoof Detection For In-Screen Fingerprint Sensors, Vishwath Mohan, James Brooks Miller Jun 2019

Anti-Spoof Detection For In-Screen Fingerprint Sensors, Vishwath Mohan, James Brooks Miller

Defensive Publications Series

User authentication prior to accessing contents of a secured device or container can be achieved in many ways, including textual passwords, picture passwords, locks, keys, or other codes. Many devices also allow for biometric authentication via fingerprint scanners, iris scanners, facial recognition, or the like for increased security and simplified user experience. In concept, a biometric scanner would eliminate all but a single individual from obtaining access to the device or container. However, many biometric scanners can be fooled, tricked, or spoofed. For example, an unauthorized user can bypass some fingerprint scanners obtaining a latent fingerprint, manipulating a copy of …


Ambient Audio Auto-Suggest, Tim Wantland, Brandon Barbello Jun 2019

Ambient Audio Auto-Suggest, Tim Wantland, Brandon Barbello

Defensive Publications Series

A computing device can analyze ambient audio, recognize entities referenced in the ambient audio, and provide actionable notifications of the entities on a display of the computing device. As an example, a computing device may determine that audio in the background has referenced a famous person and can generate a notification that names the famous person and lists the reason that they were famous (e.g., “Basketball Player”). User selection of the notification may cause the computing device to present a user interface that shows additional information on the person and/or selectable buttons for performing actions related to the individual. These …


Perception Field For A Mobile Device To Provide Real-Time Depth Estimation For Detected Objects, Minghung Hsieh, Shih-Yen Ku, I-Ray Chang, Yu-Sung Lee, Jhao-Yin Li, Yukai Hung, Wen-Yu Weng Jun 2019

Perception Field For A Mobile Device To Provide Real-Time Depth Estimation For Detected Objects, Minghung Hsieh, Shih-Yen Ku, I-Ray Chang, Yu-Sung Lee, Jhao-Yin Li, Yukai Hung, Wen-Yu Weng

Defensive Publications Series

A mobile computing device (e.g., a mobile phone, camera, tablet computer, wearable and/or headset device) may include an integrated display device (e.g., a presence-sensitive screen) at which a user interface is presented to provide perception field functionality, which enables real-time depth estimation for static or moving objects that are detected by the mobile computing device based on sensory input from an onboard camera. In various examples, this functionality may be embodied in a portable and flexible library (e.g. Android library) that is installed on the mobile computing device. The purpose of perception field monitoring is to provide fast and efficient …


Non-Annual Queries And Events, Bryan Horling Jun 2019

Non-Annual Queries And Events, Bryan Horling

Defensive Publications Series

This disclosure describes techniques that provide a user with information relating to non-annual events. For example, such events include a 10,000-day birthday, billionth second since wedding, etc. With user permission, a platform such as a social media service, a virtual assistant, etc. accesses information such as personal profile, contact information, online calendars, etc. to determine non-annual events likely of interest to a user, and to formulate answers to time-seeking queries requested by the user in non-annual units. An option is provided to the user to share milestones expressed in non-annual time units.


Vitrography To Direct Light Rays From A Camera Flash, David Rosen, Josh Anderson, Avi Hecht Jun 2019

Vitrography To Direct Light Rays From A Camera Flash, David Rosen, Josh Anderson, Avi Hecht

Defensive Publications Series

This disclosure describes techniques that isolate a flash module from a camera module and enable both to be housed underneath a single piece of transparent material such as glass. Using vitrography, small deformations are fabricated within the glass bulk surrounding the flash module. The boundary between the bulk and the vitrographed glass prevents light rays from traveling towards the camera module from the flash module. Compared to current techniques used to isolate the flash module from the camera module, the disclosed techniques reduce the cost and complexity of device assembly and produce better device performance and aesthetic.


Phone Display Repair, Ives Huang Jun 2019

Phone Display Repair, Ives Huang

Defensive Publications Series

The display of a phone or other device is often one of the more expensive parts of the device. The removal of a display for repair or to access parts below it is typically a risky and breakage-prone process. This disclosure describes techniques that embed a thin, heat-sensitive wire between the display and the adhesive that adheres the display to the body of the device. When the display is to be removed, the ends of the wire are pulled out and the wire can be heated, e.g., by connecting its ends to a battery. The heat loosens the adhesive, and …


User Equipment (Ue) Bimodal User Interface (Ui), Jakob Foerster, Oli Gaymond Jun 2019

User Equipment (Ue) Bimodal User Interface (Ui), Jakob Foerster, Oli Gaymond

Defensive Publications Series

This publication describes a user equipment (UE), such as a smartphone, that offers a user a bimodal user interface (UI) having an input mode and an output mode. The user may use various techniques to instruct the UE whether the UI needs to be in input mode or in output mode. As described herein, input mode refers to a user experience in which the user instructs the UE what to do, such as perform a computation, write an email, make a call, draw a figure, take notes, and other user-initiated activities. The UI in input mode silences and hides some …


Context Based Speech Enhancement Techniques For Voice And Media Applications, Snehitha Singaraju Jun 2019

Context Based Speech Enhancement Techniques For Voice And Media Applications, Snehitha Singaraju

Defensive Publications Series

Smart devices continue to proliferate, and they provide a variety of functions to assist end users. Voice-interactive (voice-activated) and audio-interactive devices continue to increase in popularity, availability, and functionality. Voice-interactive and audio-interactive devices may improve by monitoring and determining context when distinguishing speech from background noise and distinguishing speech intended for the voice-interactive and audio-interactive device and speech nearby but irrelevant to the device. A machine-learning model can process detected keywords, contextual cues, historical cues, and other information in determining relevant speech from background noise.


Method For Classifying Wake-Up Alarms Using Machine Learning (Ml), Thomas G. Price Jun 2019

Method For Classifying Wake-Up Alarms Using Machine Learning (Ml), Thomas G. Price

Defensive Publications Series

This publication describes an operating system (OS) of a user equipment (UE), such as a smartphone, that can classify a wake-up alarm from other types of alarms. The importance of such classification stems from the fact that when a user sets a wake-up alarm on the smartphone, they may or may not turn on a do-not-disturb (DND) feature. In addition, the UE’s DND feature may differ, such that it may silence calls and alerts, but keep the luminosity of the UE’s screen the same, it may silence calls and alerts and lower the luminosity, or a combination thereof. To aid …


Hilbert K-D Tree Encoding, Michael Hemmer, Igor Guskov Jun 2019

Hilbert K-D Tree Encoding, Michael Hemmer, Igor Guskov

Defensive Publications Series

No abstract provided.


Distortion-Guided Mesh Processing, Ondrej Stava, Igor Vytyaz Jun 2019

Distortion-Guided Mesh Processing, Ondrej Stava, Igor Vytyaz

Defensive Publications Series

Mesh processing algorithms have the potential to perform better when being guided by a distortion metric. Some mesh processing algorithms can take advantage of such guidance and produce better results, while maintaining high visual quality. Mesh geometry decimation and texture coordinate generation are candidate algorithms to be guided by the distortion metric. An additional motivation is to provide a convenient way to visualize the most distorted areas on mesh surface in 3D space.


Mechanical Keying Of Corrugated Consumable Container Through Unique Hole-Punches In Container Wall, Hp Inc Jun 2019

Mechanical Keying Of Corrugated Consumable Container Through Unique Hole-Punches In Container Wall, Hp Inc

Defensive Publications Series

This disclosure relates to the field of mechanical design, and more specifically to controlling the use of

consumable supplies within a greater mechanical system.


Print Defects Generator Using Variational Autoencoder For Inspection Systems, Hp Inc May 2019

Print Defects Generator Using Variational Autoencoder For Inspection Systems, Hp Inc

Defensive Publications Series

Deep Learning (DL) applications usually need a large amount of labeled data to perform successfully. Data augmentation is

a well-known method to avoid overfitting during a training process by increasing the number of training images with simple

transformations that do not modify the true nature of the sample. However, these modifications are usually handcrafted and

problem-dependent as it is difficult to determine which one is better. For these reasons, there is an increasing interest in

studying automatic mechanisms to generate new instances using the available data. Variational Autoencoders (VAE) are

powerful generative models. They’re a modern take on autoencoders—a type …


Pdf Content Re-Use Evaluation And Feedback While Ripping For Common Printing, Hp Inc May 2019

Pdf Content Re-Use Evaluation And Feedback While Ripping For Common Printing, Hp Inc

Defensive Publications Series

Disclosed is a method for evaluating the performance implications of reusable content in a PDF file while

ripping. Processing data is collected to allow the system to intelligently determine if it should switch

PDF processing technics and present feedback to the user about the file being worked on.


A Smart Task Assistant To Instruct Users In How To Perform A Task Based On Machine Learning Techniques By Voice, Hp Inc May 2019

A Smart Task Assistant To Instruct Users In How To Perform A Task Based On Machine Learning Techniques By Voice, Hp Inc

Defensive Publications Series

A voice assistant that guide users with different levels of knowledge through an operation or

repair. The proposed solution is a camera that can be attached to the user’s security glasses or in a headset

that will transmit the Point of View (POV) and receive instructions about what is the next action that the

user needs to perform to complete a given task. A machine learning algorithm is responsible to process all

the data input and give instructions to the user about how to perform an action. The instructions are

transmitted to the user’s ear-piece.

This technology streamlines the maintenance …


A Proactive Network Analyzer Using X86 Platform With Linux-Based Operating System, Hp Inc May 2019

A Proactive Network Analyzer Using X86 Platform With Linux-Based Operating System, Hp Inc

Defensive Publications Series

Often times we need to deal with complex network issues during debugging. E.g., MAC/IP address

conflicts, magic package loss, network cable disconnected…etc. Issues like these require an engineer’s

expertise and time to check the log in the network environment and sometimes the symptom doesn’t

happen anymore.

We run into countless network issues during the product development stage. We hope to create a

proactive network analyzer that filters/spots the error once we install it in the network. This will

eliminate the needs for post capturing the log and the time to analyze it.


Rfid Automatic Multi-Roll Detection System, Hp Inc May 2019

Rfid Automatic Multi-Roll Detection System, Hp Inc

Defensive Publications Series

Normally, a printer can have one or more input media rolls with different media types to

simplify customer life. With several media inputs already loaded in the printer, the user can

select which one he/she is willing to use in a simple way, without having to unload and load

another media type.

However, knowing in advance how many rolls are loaded and which media type is rolled in

which media input roll is not an easy task for the printer. Current printer implements this

feature manually. The user needs to select which media is loaded in which media input roll …


Adaptive Deployment Of Machine Learning Models In Mobile Devices, Hp Inc May 2019

Adaptive Deployment Of Machine Learning Models In Mobile Devices, Hp Inc

Defensive Publications Series

This invention aims to allow mobile applications based on Machine Learning to run in

different devices with different configurations, by optimizing the tradeoff between accuracy,

response time and storage use specifically to each device. It consists in allowing the developer to

train multiple models to solve the same task. A subset of trained models, with acceptable

accuracy, will then be made available for the application. Whenever the application is installed

on the device, it will pre-load each of the available models, initialize it with random parameters,

and run some inference steps on the device, in order to measure the computation …


On-Device Dialog Management, Vinod D. Krishnan, Yanhong Chen May 2019

On-Device Dialog Management, Vinod D. Krishnan, Yanhong Chen

Defensive Publications Series

This disclosure describes techniques for on-device dialog management that enable a voice-based multi-turn dialog without the need for network connectivity. Although the techniques support a fully hands-free mode, parts of the dialog can also be entered by the user using a touch or other interface.


Dialog-Aware Language Models For Speech Recognition, Benjamin Haynor, Petar Aleksic May 2019

Dialog-Aware Language Models For Speech Recognition, Benjamin Haynor, Petar Aleksic

Defensive Publications Series

Automatic speech recognizers (ASR) typically treat each utterance of a conversation independently. This often leads to errors such as the incorrect transcription of homophones. These errors cascade into further problems when performing natural language understanding. This disclosure presents speech recognition techniques that transcribe speech using the larger context of the dialog. Per the techniques, individual utterances are transcribed based on the context of the conversation. The techniques distinguish homophones by context and improve in-dialog ASR without relying on supervised data or manually-provided phrases. The techniques generalize well to unseen dialogs or queries.


Communication Between Moving Vehicles Using A Virtual Assistant, Surath Sundram, Rupika Chatterjee May 2019

Communication Between Moving Vehicles Using A Virtual Assistant, Surath Sundram, Rupika Chatterjee

Defensive Publications Series

This disclosure describes virtual assistant based techniques for communication between vehicles in proximity to each other. Users register pertinent information such as license plate number, contact information, etc. at a registry. While driving, a user requests their virtual assistant to send a message to a nearby vehicle, e.g., by providing an observed license plate number or a portion thereof. With user permission, location data is accessed to identify nearby vehicles that match the user’s specification. When a nearby vehicle is identified that matches the user specification, the virtual assistant checks if the user of the identified vehicle permits being contacted. …


Fast Battery-Charging Architecture, Kun-Wei Lin, Graham Chien, Weichih Liao, Jackyjm Chang, Robbins Pan, Ben Lin May 2019

Fast Battery-Charging Architecture, Kun-Wei Lin, Graham Chien, Weichih Liao, Jackyjm Chang, Robbins Pan, Ben Lin

Defensive Publications Series

The disclosure describes a power-efficient, low-footprint, and fast battery charger based on a hybrid of the charge pump and the three-level chargers. The charger is low cost, reduces thermal dissipation, increases battery-charging speed, and is compatible with wired and wireless charging.


Customized Query Responses Based On Available Appliances, Ashish Duggal May 2019

Customized Query Responses Based On Available Appliances, Ashish Duggal

Defensive Publications Series

This disclosure describes techniques to provide customized responses to user queries for household tasks, e.g., use of an appliance such as a washer/dryer. The responses are customized based on information regarding appliances available within the household, obtained with user permission. The query may be received by a virtual assistant, e.g., available via a household appliance, or via device such as a smartphone, smart speaker, personal computer, etc. Information regarding the appliances is obtained, e.g., by indexing product manuals and other information. Results are provided that guide the user to complete the household task using an available appliance.