Mitsubishi Electric Research Laboratories, Inc.

Mitsubishi Electric Research Labs.

At+t Corp.

Renesas Technology Corp.

Samsung Electronics Co., Ltd.

Intel Corporation

Motorola Corporation

At&t Intellectual Property I, L.p.

Mitsubishi Electric Corporation

Nxp B.v.

Zafer Sahinoglu

Yi Huang

Philip Orlik

Jinyun Zhang

Ghulam Bhatti

Sinan Gezici

Andreas F Molisch

Yebin Wang

Zhifeng Tao

Anthony Vetro

Koon Hoo Teo

Chunjie Duan

Pu Wang

Vijay K Bhagavath

Fatih M Porikli

Kieran Parsons

Milutin Pajovic

Raymond Yim

Petros T Boufounos

Edgar Herbert Callaway, Jr

Lakshman Krishnamurthy

Jianlin Guo

Ming Sun

William Yerazunis

Hassan Mansour

Dehong Liu

Ralph Michael Kling

Kyeong Jin Kim

Neelesh B Mehta

Oncel C Tuzel

Jasmeet Chhabra

Yong Liu

Jonathan S Yedidia

Toshihiro Wada

Ismail Guvenc

Man-On Pun

Salman Yousef Abbasi

Fernando Masami Matsubara

Qinghe Du

Jackson Odondi

Johnas I Cukier

Huazhen Fang

Alan Sullivan

Vernon Anthony Allen

Chunhui Zhu

Tomoki Takegami

Andrei Kniazev

Lance Eric Hester

Dirk Brinkman

Myung Jong Lee

Frederick J Igo, Jr

Xuhui Hu

George Fang

Phil A Jamieson

Kuan-Chuan Peng

Xusheng Sun

Hang Su

Taesic Kim

Gozde Ozcan

Jin Zhang

Gang Ding

Phil Rudland

Okuary Osechas

Zachary Smith

Li Li

Ghulam M Bhatti

Onur Ozdemir

Jinyuan Zhang

Systems, methods and devices for real-time contactless elevator service operation of an elevator includes a trained neural network (TNN) model. The TNN model is trained using a training processor with augmented datasets as a synthetic training dataset, to later perform elevator identifier recognition. The augmented data sets are generated from synthetic text images, the synthetic text images are augmented with different geometrical parameters and visual parameters to a predetermined number of variations in appearance to a set of training elevator identifiers. A camera captures a user image. A text image portion from the user image is extracted using the TNN model, and detects an elevator identifier in the extracted text image portion using the extracted text image portion and the TNN model. The detected elevator identifier is displayed for user confirmation or user cancellation, and upon user confirmation, generates a control command based the detected elevator identifier associated with an elevator service.

Contactless elevator service for an elevator based on augmented datasets

Methods and systems for predicting an unknown voltage of a battery corresponding to a future current demand for at least one time instant. The method including determining parameters of a first joint Gaussian distribution of a set of historical values of the voltage prediction of the battery from a set of historical measured physical quantities of the state of the battery stored in the memory. Determining a second joint Gaussian distribution of the unknown voltage and the set of historical values of the voltage prediction of the battery, based on a present measured physical quantities of the battery, the set of historical measured physical quantities and the determined parameters of the first joint Gaussian distribution. Determining a mean and a variance of an unknown voltage of the battery from the second joint Gaussian distribution, to obtain the predicted unknown voltage of the battery.

Methods and systems for battery state of power prediction

The rechargeable battery parameter estimation apparatus includes: a current measurement part for measuring a current flowing through a rechargeable battery, the current measurements having an offset error; a first coefficient calculation part for calculating a first coefficient, which is a partial derivative of an estimated value of an state of charge (SoC) of the battery with respect to the offset error; a second coefficient calculation part for calculating a second coefficient, which is a partial derivative of the estimated value of the SoC with respect to a capacity error, which is a difference of a typical full charge capacity from an actual full charge capacity of the battery; and an error estimation part for estimating the offset error and the capacity error from derivative information including the first coefficient and the second coefficient, the current flowing through the battery, and the estimated value of the SoC.

Rechargeable battery parameter estimation apparatus and rechargeable battery parameter estimation method for calculating first and second coefficients which are partial derivatives of an estimated value of the battery state-of-charge

Methods and systems for estimating a state of charge (SoC) of a battery are disclosed. A method determines a first joint Gaussian distribution of values of the SoC given a set of historical measured physical quantities of the state of the battery and a corresponding set of historical values of the SoC of the battery. The method determines a second joint Gaussian distribution of SoC using the set of historical measured physical quantities and the corresponding set of historical values of the SoC, current measurement physical quantities of the battery and the first joint Gaussian distribution. Finally, the method determines a mean and a variance of the current value of the SoC of the battery from the second joint Gaussian distribution. The mean is an estimate of the current SoC of the battery, and the variance is a confidence of the estimate.

Methods and systems for data-driven battery state of charge (SoC) estimation

A vehicle includes a set of devises for determining a state of the vehicle at an instant of time and a processor operatively connected to a memory for processing parameters of the state of the vehicle collected over a plurality of instances of time for a period of time from an initial instance of time till a current instant of time to determine a set of driving conditions leading to a current state of the vehicle at the current instant of time. Each driving condition indicates a condition of an operation of the vehicle for the period of time. The vehicle also includes a communication module for outputting the current state of the vehicle determined by the set of devices at the current instant of time and for outputting the set of driving conditions leading to the current state of the vehicle.

System and method for testing and evaluating vehicle components

A navigation system includes a first navigation module for determining a first position and a second navigation module for determining a second position. The first and the second navigation modules are mechanically connected, such that the first position is dependent on the second position. Also, the first and the second navigation modules are communicatively connected to exchange information including at least one of the first and the second positions. At an instant of time during an operation of the navigation system, the first navigation module receives the second position from the second navigation module and determines the first position based on the second position.

Tracking of occluded navigation satellite signals

A method reconstructs a scene behind a wall by transmitting a signal through the wall into the scene. Parameters of the wall are estimated from a reflected signal. A model of a permittivity of the wall is generated using the parameters, and then the scene is reconstructed as an image from the reflected signal using the model and sparse recovery.

Method and system for through-the-wall imaging using compressive sensing and MIMO antenna arrays

A method estimates a state-of-charge (SoC) of a battery by constructing a set of two or more battery models. Each battery model is associated with an adaptive SOC estimator. A set of intermediate SOCs is estimated using the models and the associate adaptive SoC estimators. Then, the set of intermediate SoCs are fused to obtain a final SoC of the battery.

Method for estimating a state of charge of batteries

A method separates a multi-component signal by first estimating parameters of the signal. Then, using periodicity-based algebraic separation and energy-based demodulation, the signal is separated into components according to the parameters and constraints. Last, a Teager-Kaiser energy detector is applied to each component to provide a direct current signal for each component, and the constraint for each component used by the separating.

Method for separating multi-component signals

A state of charge (SoC) a lithium-ion (Li+) battery is estimated at a time instant by first constructing a battery model of the Li+ battery based on a single particle operation. The battery model describes a relationship between the SoC, a charge current, a discharge current, and an output voltage of the Li+ battery. Using a nonlinear optimization, a function expressing a relationship between the SoC and an open circuit voltage of the Li+ battery is determined. The relationship is based on off-line measurements of the charge current, the discharge current, and the open-circuit voltage of the Li+ battery. Then, the SoC and parameters of the battery model are estimated concurrently, wherein the SoC and the parameters are estimated based on the battery model, the function, and on-line measurements of the charge current, the discharge current, and the output voltage.

Method for estimating state of charge for lithium-ion batteries

At least one parameter of a signal is determined, wherein the signal is a sinusoidal signal including noise, wherein the parameter includes at least one of a frequency of the signal, and an angle of a phase of the signal. The frequency of the signal is determined iteratively based on a linear relationship among the frequency of the signal, samples of the noise, and samples of the signal using a statistical correlation among the samples of the noise. During a current iteration the statistical correlation is updated based on the frequency of the signal determined during a previous iteration, and the samples of the signal are updated with values of the signal during a current period of time.

Method and system for determining parameters of sinusoidal signals

A battery is charged by first charging the battery at a constant current during a first time interval, and then charging the battery at a varying current during a second time interval. The battery can be a lithium-ion battery, and the charging uses a kinetic model. The kinetic model models the battery having an indiffused well having a capacity c, and a diffused well having a capacity 1&#x2212;c, and the indiffused well is filled directly by the current, and the diffused well is filled only from the indiffused well via a valve with constant inductance.

Method and system for charging batteries using a kinetic model

A method for detecting a target in a non-homogeneous environment using a space-time adaptive processing of a radar signal includes normalizing training data of the non-homogeneous environment to produce normalized training data; determining a normalized sample covariance matrix representing the normalized training data; tracking a subspace represented by the normalized sample covariance matrix to produce a clutter subspace matrix; determining a test statistic representing a likelihood of a presence of the target in the radar signal based on the clutter subspace matrix and a steering vector; and comparing the test statistic with a threshold to detect the target.

Method for detecting targets using space-time adaptive processing

In a wireless network including a server and clients, network resources, such as time slots and channel frequencies, are managed by having the server define the resources for future use by the clients, while the clients actually allocate the resources for their exclusive use according to performance criteria determined by the clients. The network can be ad-hoc and in industrial environments with low-latency requirements.

Time slot and frequency allocation in wireless communication networks

A wireless star network includes including a master node (master) and a set of N slave nodes (slaves), wherein the network uses orthogonal frequency division multiple access (OFDMA). The master partitions the set of slaves in a first subset A(i) and second subset B(j), wherein the first and second subsets are disjoint. Packets are transmitted by the first subset of slaves only while the master and second subset of slaves operate in receive mode, and packets are transmitted by the second subset of slaves only while the master and first of slaves operate in receive mode.

Cooperative relay communication in wireless OFDMA star networks

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Arlington, MA, United States of America

Zafer Sahinoglu