公开(公告)号：US20220330034A1

公开(公告)日：2022-10-13

申请号：US17849562

申请日：2022-06-24

Applicant: Microsoft Technology Licensing, LLC

Inventor： Heping SHI ,  Ranveer CHANDRA ,  Tusher CHAKRABORTY ,  Nissanka Arachchige Bodhi PRIYANTHA ,  Zerina KAPETANOVIC ,  Binh Ngoc VU

IPC: H04W16/14 ,  H04W48/16 ,  H04W72/08 ,  H03F3/19 ,  H04W72/04

Abstract: The disclosure described herein configures a multi-narrowband transceiver for communication within the television white space (TVWS) frequency spectrum using a log periodic filter, wherein the log periodic filter comprises a plurality of filter elements each having a filter frequency increasing periodically in a same frequency increasing factor (K). Each filter of the plurality of filter elements is configured to filter out second harmonics in a defined frequency range. The disclosure determines a TVWS channel for the communication and switches to a filter element of the plurality of filter elements corresponding to the determined TVWS channel. Data is transmitted and/or received over the TVWS channel using the filter element, thereby allowing narrowband communication over the TVWS channel.

公开(公告)号：US20220141831A1

公开(公告)日：2022-05-05

申请号：US17385898

申请日：2021-07-26

Applicant: Microsoft Technology Licensing, LLC

Inventor： Deepak VASISHT ,  Ranveer CHANDRA

IPC: H04W72/12 ,  H04B7/195 ,  H04B7/155 ,  H04B17/40

Abstract: The disclosure herein describes transmitting data from a satellite using a primary ground station and a set of secondary ground stations. An orbit of the satellite is determined over a schedule period and a subset of secondary ground stations is identified based on the determined orbit of the satellite, wherein secondary ground stations are configured to receive from the satellite and not transmit to the satellite. A transmission schedule associated with the satellite is then generated. For each secondary ground station of the subset, a time interval during which the satellite is within communication range is determined, an expected transmission rate is estimated, and the time interval and the expected transmission rate are included in the transmission schedule. The transmission schedule is provided to the satellite via the primary ground station, whereby the satellite is configured to transmit data to the subset of ground stations based on the transmission schedule.

公开(公告)号：US20210360412A1

公开(公告)日：2021-11-18

申请号：US17037533

申请日：2020-09-29

Applicant: Microsoft Technology Licensing, LLC

Inventor： Tusher CHAKRABORTY ,  Deepak VASISHT ,  Ranveer CHANDRA ,  Zerina KAPETANOVIC ,  Heping SHI ,  Nissanka Arachchige Bodhi PRIYANTHA

IPC: H04W16/10 ,  H04W72/04 ,  H04L5/00 ,  H04W72/12

Abstract: The disclosure described herein configures a base station and client devices for communication using dynamic spectrum access within a frequency spectrum that includes selecting, from a list of available channels, a set of channels as active channels. The active channels include uplink channels and downlink channels, and the active channels are distributed among a plurality of base station radios of a base station. A different channel is assigned to different base station radios. At least one uplink channel and at least one downlink channel are assigned to a plurality of client devices based on locations the client devices, wherein at least some client devices have active channels in common. The client devices having the active channels in common are also grouped on shared channels and time slots assigned to the client devices in the group, thereby allowing narrowband communication over the channels by the client devices.

公开(公告)号：US20190102864A1

公开(公告)日：2019-04-04

申请号：US16129462

申请日：2018-09-12

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ranveer CHANDRA ,  Ashish KAPOOR ,  Sudipta SINHA ,  Deepak VASISHT

IPC: G06T3/40 ,  G06K9/00 ,  G06T7/33 ,  A01B79/00 ,  G06K9/62 ,  G06T3/00 ,  B64C39/02 ,  G06T7/41 ,  G06T7/73 ,  G06T7/35 ,  G01C11/02

Abstract: An apparatus for generating precision maps of an area is disclosed. The apparatus receives sensor data, where the sensor data includes sensor readings each indicating a level of a parameter in one of a plurality of first portions of an area, and video data representing an aerial view of the area. The sensor data may be received from sensors that are each deployed in one of the first portions of the area. The video data may be received from an aerial vehicle. An orthomosaic may be generated from the video data, and the orthomosaic and the sensor data used to generate a predication model. The prediction model may then be used to extrapolate the sensor data to determine a level of the parameter in each of a plurality of second portions of the area. A precision map of the area may be generated using the extrapolated sensor readings.

公开(公告)号：US20250137940A1

公开(公告)日：2025-05-01

申请号：US18499059

申请日：2023-10-31

Applicant: Microsoft Technology Licensing, LLC

Inventor： Vaishnavi NATTAR RANGANATHAN ,  Ranveer CHANDRA ,  Nakul GARG

IPC: G01N22/00 ,  G06Q10/087

Abstract: A data processing system implements transmitting an RF signal using a transmitter disposed at a first side of a produce container containing produce to be monitored for quality. The signal is transmitted on multiple frequencies. The system further implements receiving the signal using a receiver disposed at a second side of the produce container opposite the first side of the produce container so the signal passes through the produce; obtaining a sample signal output by the receiver responsive to receiving the signal that passed through the produce contained in the produce container; analyzing the sample signal to identify differences between the RF signal and the sample signal representative of the dielectric properties of the produce; determining an estimated quality level of the produce based on the differences between the RF signal and the sample signal; and outputting an indication of the estimated quality level of the produce.

公开(公告)号：US20250117738A1

公开(公告)日：2025-04-10

申请号：US18429151

申请日：2024-01-31

Applicant: Microsoft Technology Licensing, LLC

Inventor： Vaishnavi NATTAR RANGANATHAN ,  Roberto Oliveira SANTOS ,  Bruno SILVA ,  Ranveer CHANDRA ,  Riyaz PISHORI

IPC: G06Q10/0833

Abstract: A supply chain tracking system utilizes tracking codes to track products through a supply chain. A tracking code is assigned to each product. If the product is grouped with other products at a stage in the supply chain, a tracking code is assigned to the group, and the tracking code for each of the products in the group is associated with the tracking code for the group. If the group of products is further aggregated with groups of other products, such as in a shipping container, a tracking code is assigned to the aggregated groups of products, and the tracking code for each of the groups of products is associated with the tracking code for the aggregated groups of products. The tracking codes are used to generate a supply chain graph which maps the travel of each product through the supply chain.

公开(公告)号：US20240370734A1

公开(公告)日：2024-11-07

申请号：US18142898

申请日：2023-05-03

Applicant: Microsoft Technology Licensing, LLC

Inventor： Peeyush KUMAR ,  Boling YANG ,  Riyaz PISHORI ,  Ranveer CHANDRA

IPC: G06N3/092

Abstract: This document relates to accurate quantitative predictions relating to various systems of interest. One example can obtain temporal data relating to a system from a first source and obtain complex events that can affect the system from a second source. The example can train a model iteratively using generative networks that correlate the temporal data from the first source and the complex events from the second source. The example can employ a temporal sequential encoder to control predictions for future temporal data utilizing the trained model.

公开(公告)号：US20240171661A1

公开(公告)日：2024-05-23

申请号：US18057066

申请日：2022-11-18

Applicant: Microsoft Technology Licensing, LLC

Inventor： Tusher CHAKRABORTY ,  Ranveer CHANDRA ,  Nissanka Arachchige Bodhi PRIYANTHA ,  Vaibhav SINGH

IPC: H04L69/22 ,  H04B7/08 ,  H04L69/00

CPC classification number: H04L69/22 ,  H04B7/0854 ,  H04L69/03

Abstract: A computing system including a processor configured to receive packet preamble binary data and packet header binary data associated with a satellite. The processor may generate a simulated signal that encodes the packet preamble binary data and the packet header binary data. The processor may receive a satellite downlink signal. Within each of a plurality of sample intervals of the satellite downlink signal, the processor may compute a respective correlation between the satellite downlink signal and at least a portion of the simulated signal. The processor may select an identified sample interval of the plurality of sample intervals based at least in part on the plurality of correlations. The processor may decode binary satellite signal data based at least in part on the identified sample of the satellite downlink signal. The processor may output the binary satellite signal data.

公开(公告)号：US20240075655A1

公开(公告)日：2024-03-07

申请号：US17939915

申请日：2022-09-07

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Yuan-Jyue CHEN ,  Bichlien Hoang NGUYEN ,  Jake Allen SMITH ,  Karin STRAUSS ,  Ranveer CHANDRA

IPC: B29B17/02 ,  B29B17/04 ,  C08J11/06

CPC classification number: B29B17/02 ,  B29B17/0412 ,  C08J11/06 ,  B29B2017/0203 ,  B29B2017/0282 ,  B29K2067/003 ,  C08J2367/02

Abstract: Recycling information is associated with objects through the use of molecular tags. The recycling information may describe the type of material that the object is made from as well as provide instructions for recycling. The molecular tags may be polynucleotides or other types of molecules including inorganic molecules. The molecular tags may be embedded within the object or attached to the surface of the object. At the end of the object's life, the molecular tags are read and the recycling information is used to appropriately recycle the object.

公开(公告)号：US20230389460A1

公开(公告)日：2023-12-07

申请号：US18056677

申请日：2022-11-17

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Renato Luiz DE FREITAS CUNHA ,  Anirudh BADAM ,  Patrick Bernd BUEHLER ,  Ranveer CHANDRA ,  Debasis DAN ,  Maria Angels de LUIS BLAGUER ,  Swati SHARMA ,  FNU ADITI ,  Sara Malvar MAUA

IPC: A01B79/00 ,  A01B79/02 ,  G06N3/04 ,  G06N3/08 ,  G01W1/02 ,  G01W1/14

CPC classification number: A01B79/005 ,  A01B79/02 ,  G06N3/0454 ,  G06N3/08 ,  G01W1/02 ,  G01W1/14

Abstract: A deep learning system is used to predict crop characteristics from inputs that include crop variety features, environmental features, and field management features. The deep learning system includes domain-specific modules for each category of features. Some of the domain-specific modules are implemented as convolutional neural networks (CNN) while others are implemented as fully-connected neural networks. Interactions between different domains are captured with cross attention between respective embeddings. Embeddings from the multiple domain-specific modules are concatenated to create a deep neural network (DNN). The prediction generated by the DNN is a characteristic of the crop such as yield, height, or disease resistance. The DNN can be used to select a crop variety for planting in a field. For a crop that is planted, the DNN may be used to select a field management technique.