Abstract: A controller of a machine determines jointly a sequence of control inputs defining a state trajectory of the machine and a desired knowledge of the environment by solving a multivariable constrained optimization of a model of dynamics of the machine relating the state trajectory with the sequence of control inputs subject to a constraint on admissible values of the states and the control inputs defined based on the desired knowledge of the surrounding environment represented by the state of the environment and the uncertainty of the state of the environment determined from the measurements of the environment. In such a manner, the controller performs joint but imbalance optimization of the control inputs and the sensing instructions to the sensor for learning the environment.

Abstract: The present disclosure provides a controller for controlling an ego vehicle in an uncertain environment. The controller is caused to acquire knowledge of the environment from measurements associated with sensors the ego. The measurements are based on a state of the ego vehicle and sensing instructions associated with controlling an operation of the sensors. The controller is further caused to estimate a state of the environment, including uncertainty of a state of the at least one moving object or obstacle in the environment. Further a sequence of control inputs is determined by solving a multivariable and a multistage stochastic constrained optimization of a model of the motion of the ego vehicle. The controller is then caused to control the ego vehicle and the sensors based on the sequence of control inputs and the sequence of sensing instructions.

Abstract: A controller of a machine determines jointly a sequence of control inputs defining a state trajectory of the machine and a desired knowledge of the environment by solving a multivariable constrained optimization of a model of dynamics of the machine relating the state trajectory with the sequence of control inputs subject to a constraint on admissible values of the states and the control inputs defined based on the desired knowledge of the surrounding environment represented by the state of the environment and the uncertainty of the state of the environment determined from the measurements of the environment. In such a manner, the controller performs joint but imbalance optimization of the control inputs and the sensing instructions to the sensor for learning the environment.

Abstract: A device, method, and computer-readable medium for correcting at least one error in readings of electricity meters, the method including receiving first readings of regular meters measuring electric energy delivered in each of a group of cables fed from a same distribution node in an electric grid during a period of time, receiving second readings of check meters measuring electric energy delivered in each of combinations of cables in the group of cables during the period of time, the combinations of cables being formed based on a redundant matrix in a generator matrix of a linear systematic block code, and correcting, in response to determining that at least one error been detected, the at least one error in the first readings of the regular meters and the second readings of the check meters.

Abstract: A device, method, and computer-readable medium for correcting at least one error in readings of electricity meters, the method including receiving first readings of regular meters measuring electric energy delivered in each of a group of cables fed from a same distribution node in an electric grid during a period of time, receiving second readings of check meters measuring electric energy delivered in each of combinations of cables in the group of cables during the period of time, the combinations of cables being formed based on a redundant matrix in a generator matrix of a linear systematic block code, and correcting, in response to determining that at least one error been detected, the at least one error in the first readings of the regular meters and the second readings of the check meters.

Abstract: A device, method, and computer-readable medium for correcting at least one error in readings of electricity meters, the method including receiving first readings of regular meters measuring electric energy delivered in each of a group of cables fed from a same distribution node in an electric grid during a period of time, receiving second readings of check meters measuring electric energy delivered in each of combinations of cables in the group of cables during the period of time, the combinations of cables being formed based on a redundant matrix in a generator matrix of a linear systematic block code, and correcting, in response to determining that at least one error been detected, the at least one error in the first readings of the regular meters and the second readings of the check meters.

Abstract: A device, method, and computer-readable medium for correcting at least one error in readings of electricity meters, the method including receiving first readings of regular meters measuring electric energy delivered in each of a group of cables fed from a same distribution node in an electric grid during a period of time, receiving second readings of check meters measuring electric energy delivered in each of combinations of cables in the group of cables during the period of time, the combinations of cables being formed based on a redundant matrix in a generator matrix of a linear systematic block code, and correcting, in response to determining that at least one error been detected, the at least one error in the first readings of the regular meters and the second readings of the check meters.

Abstract: A device, method, and computer-readable medium for correcting at least one error in readings of electricity meters, the method including receiving first readings of regular meters measuring electric energy delivered in each of a group of cables fed from a same distribution node in an electric grid during a period of time, receiving second readings of check meters measuring electric energy delivered in each of combinations of cables in the group of cables during the period of time, the combinations of cables being formed based on a redundant matrix in a generator matrix of a linear systematic block code, and correcting, in response to determining that at least one error been detected, the at least one error in the first readings of the regular meters and the second readings of the check meters.

Abstract: A device, method, and computer-readable medium for correcting at least one error in readings of electricity meters, the method including receiving first readings of regular meters measuring electric energy delivered in each of a group of cables fed from a same distribution node in an electric grid during a period of time, receiving second readings of check meters measuring electric energy delivered in each of combinations of cables in the group of cables during the period of time, the combinations of cables being formed based on a redundant matrix in a generator matrix of a linear systematic block code, and correcting, in response to determining that at least one error been detected, the at least one error in the first readings of the regular meters and the second readings of the check meters.

Abstract: Light to ultra-light cement compositions with modified rheological properties. The cement composition includes cement, hydrophobic nano-silica, at least one additive and a sufficient amount of water to make a cement slurry with high compressive strength, low porosity, low free water, and low fluid loss with a quick thickening time.

Abstract: A spectrum sensing method for cognitive radio wherein spectrum holes are detected in a wireless environment having spectrum scarcity. First, a cognitive radio user (CR) determines the power spectral density (PSD) of a wideband signal and detects subbands within the wideband using wavelet transforms (WT). WT coefficients are calculated by convolving the PSD with first derivatives of wavelet smoothing functions. The extrema of the WT coefficients demark frequency subband edges. Detecting subband edges becomes more robust against noise by median filtering the PSD before calculating WT coefficients, summing over WT coefficients with different scale factors, and suppressing WT coefficients below a noise threshold. After identifying subbands, the CR determines subband availability by measuring the subband power and signaling the power to a fusion center receiving power measurements from multiple cooperating CRs, and final decisions are based on data and decision fusion.

Abstract: Light to ultra-light cement compositions with modified rheological properties. The cement composition includes cement, hydrophobic nano-silica, at least one additive and a sufficient amount of water to make a cement slurry with high compressive strength, low porosity, low free water, and low fluid loss with a quick thickening time.

Abstract: A spectrum sensing method for cognitive radio to detect spectrum holes in an environment of bandwidth scarcity. The method comprises first receiving a wireless signal at a cognitive radio user, and then discovering the frequency edges of allocated frequency bands by using wavelet transform coefficients to detect discontinuities in the power spectral density of the received signal. After determining the allocated frequency bands, the method determines frequency band availability by detecting the in band energy using a bi-threshold energy detector, where the energy detector makes hard decisions and soft decisions. Finally, a fusion center combines hard and soft decisions collected from a cooperative spectrum sensing network of cognitive radio users and makes a final decision using a hybrid of data fusion and decision fusion to determine the final decision regarding spectrum availability.

Abstract: A spectrum sensing method for cognitive radio wherein spectrum holes are detected in a wireless environment having spectrum scarcity. First, a cognitive radio user (CR) determines the power spectral density (PSD) of a wideband signal and detects subbands within the wideband using wavelet transforms (WT). WT coefficients are calculated by convolving the PSD with first derivatives of wavelet smoothing functions. The extrema of the WT coefficients demark frequency subband edges. Detecting subband edges becomes more robust against noise by median filtering the PSD before calculating WT coefficients, summing over WT coefficients with different scale factors, and suppressing WT coefficients below a noise threshold. After identifying subbands, the CR determines subband availability by measuring the subband power and signaling the power to a fusion center receiving power measurements from multiple cooperating CRs, and final decisions are based on data and decision fusion.

Abstract: A spectrum sensing method for cognitive radio to detect spectrum holes in an environment of bandwidth scarcity. The method comprises first receiving a wireless signal at a cognitive radio user, and then discovering the frequency edges of allocated frequency bands by using wavelet transform coefficients to detect discontinuities in the power spectral density of the received signal. After determining the allocated frequency bands, the method determines frequency band availability by detecting the in band energy using a bi-threshold energy detector, where the energy detector makes hard decisions and soft decisions. Finally, a fusion center combines hard and soft decisions collected from a cooperative spectrum sensing network of cognitive radio users and makes a final decision using a hybrid of data fusion and decision fusion to determine the final decision regarding spectrum availability.

Abstract: In one embodiment, a method includes dynamically crawling an event-driven application in a plurality of client-tier environments; for each of the client-tier environments, generating a behavioral model of the event-driven application based on the dynamic crawling; for each of the behavioral models, determining one or more pairwise equivalences with respect to one or more other ones of the behavioral models; and, for each of the client-tier environments, determining one or more differences in an end-user experience of the event-driven application in the client-tier environment with respect to one or more other end-user experiences of the event-driven application in one or more other ones of the client-tier environments.

Abstract: Light to ultra-light cement compositions with modified rheological properties. The cement composition includes cement, hydrophobic nano-silica, at least one additive and a sufficient amount of water to make a cement slurry with high compressive strength, low porosity, low free water, and low fluid loss with a quick thickening time.

Abstract: Light to ultra-light cement compositions with modified rheological properties. The cement composition includes cement, hydrophobic nano-silica, at least one additive and a sufficient amount of water to make a cement slurry with high compressive strength, low porosity, low free water, and low fluid loss with a quick thickening time.

Abstract: Light to ultra-light cement compositions with modified rheological properties. The cement composition includes cement, hydrophobic nano-silica, at least one additive and a sufficient amount of water to make a cement slurry with high compressive strength, low porosity, low free water, and low fluid loss with a quick thickening time.

Abstract: In one embodiment, a method includes dynamically crawling an event-driven application in a plurality of client-tier environments; for each of the client-tier environments, generating a behavioral model of the event-driven application based on the dynamic crawling; for each of the behavioral models, determining one or more pairwise equivalences with respect to one or more other ones of the behavioral models; and, for each of the client-tier environments, determining one or more differences in an end-user experience of the event-driven application in the client-tier environment with respect to one or more other end-user experiences of the event-driven application in one or more other ones of the client-tier environments.