Abstract: 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.

Abstract: 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.

Abstract: Embodiments are directed to the design, manufacturing, assembly and filling of a parcel container (i.e., box) cut from a single piece of material (e.g., corrugated cardboard). The parcel container is sealable without the use of tape as a sealing mechanism.

Abstract: A method is provided of detecting anomalies in a power-usage data set, comprising: receiving historical data regarding power usage in a building over a time period; receiving metrics for a plurality of categories related to the historical data; receiving rules for the plurality of categories; building a model for each of the plurality of categories via a processor, by transforming the historical data into a user-readable format based on the metrics, the model including a plurality of histograms; receiving observation data after building the model for each of the plurality of categories, the observation data including at least one data entry relating to power usage in the building during a time interval after the time period; and detecting at least one anomaly in at least one of the plurality of categories via the processor using the plurality of histograms, the observation data, and the rules.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A navigation system for navigating a vehicle includes a position module for determining a current position of the vehicle by tracking at least one satellite signal, and an estimation module for identifying, upon an interruption of the tracking the satellite signal, an object blocking the satellite signal. The estimation module is also configured for determining, using a property of the object, a next position of the vehicle at a distance from the current position at which the navigation system reacquires the satellite signal, and the navigation system also includes an acquisition module for determining a phase of the satellite signal at the next position and for initializing, upon reacquiring the satellite signal, the tracking of the satellite signal using the phase.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A satellite navigation system includes a first Global Navigation Satellite System (GNSS) receiver for determining a first value of a parameter of a GNSS signal and a second GNSS receiver for determining a second value of the parameter of the GNSS signal. The first GNSS receiver is rigidly connected to the second GNSS receiver. The GNSS also includes a processor for comparing the first value of the parameter with the second value of the parameter to detect a multipath of the GNSS signal.

Abstract: 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.

Abstract: 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.

Abstract: 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.