Abstract: Arbitrary wave loads are detected and reconstructed by a sensor system based on an inverse mechanism of continuous structure responses. A sensor system comprising a sensing component configured with a sandwich-structured beam of composite materials can generate the structural responses as a moving wave propagates across the beam. In one example, an Arnoldi-Tikhonov algorithm coupled with generalized cross-validation technique can be utilized to determine a regularization parameter that is utilized to compensate for the presence of noise in the wave load and/or the highly ill-posed problems of the inverse matrix that is utilized for wave reconstruction. Further, the Tikhonov algorithm can be utilized to reconstruct wave loads (e.g., at different location on the beam and/or different times) based on the structural response parameters and the regularization parameter. As an example, an image of the determined wave load values can be rendered in three dimensions (3-D) versus time and location.

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.

Abstract: Arbitrary wave loads are detected and reconstructed by a sensor system based on an inverse mechanism of continuous structure responses. A sensor system comprising a sensing component configured with a sandwich-structured beam of composite materials can generate the structural responses as a moving wave propagates across the beam. In one example, an Arnoldi-Tikhonov algorithm coupled with generalized cross-validation technique can be utilized to determine a regularization parameter that is utilized to compensate for the presence of noise in the wave load and/or the highly ill-posed problems of the inverse matrix that is utilized for wave reconstruction. Further, the Tikhonov algorithm can be utilized to reconstruct wave loads (e.g., at different location on the beam and/or different times) based on the structural response parameters and the regularization parameter. As an example, an image of the determined wave load values can be rendered in three dimensions (3-D) versus time and location.

Abstract: A system and method that facilitates urban traffic state detection based on support vector machine (SVM) and multilayer perceptron (MLP) classifiers is provided. Moreover, the SVM and MLP classifiers are fused into a cascaded two-tier classifier that improves the accuracy of the traffic state classification. To further improve the accuracy, the cascaded two-tier classifier (e.g., MLP-SVM), a single SVM classifier and a single MLP classifier are fused to determine a final decision for a traffic state. In addition, fusion strategies are employed during training and implementation phases to compensate for data acquisition and classification errors caused by noise and/or outliers.

Abstract: A system and method that facilitates urban traffic state detection based on support vector machine (SVM) and multilayer perceptron (MLP) classifiers is provided. Moreover, the SVM and MLP classifiers are fused into a cascaded two-tier classifier that improves the accuracy of the traffic state classification. To further improve the accuracy, the cascaded two-tier classifier (e.g., MLP-SVM), a single SVM classifier and a single MLP classifier are fused to determine a final decision for a traffic state. In addition, fusion strategies are employed during training and implementation phases to compensate for data acquisition and classification errors caused by noise and/or outliers.

Abstract: Systems, methods, and computer-readable media for determining long binary sequences having low autocorrelation functions using evolutionary processes are disclosed. Biphase sequences are found with low peak sidelobe values meeting a predetermined criterion, e.g., threshold low auto-correlation function, including application of semidefinite programming in connection with determining an initial population, and evolving the population with an evolutionary algorithm to bits of the biphase sequences including bit flipping. The found biphase sequences can be communicated to a variety of applications, including wireless communications technologies.

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.

Abstract: Systems, methods, and computer-readable media for determining long binary sequences having low autocorrelation functions using evolutionary processes are disclosed. Biphase sequences are found with low peak sidelobe values meeting a predetermined criterion, e.g., threshold low auto-correlation function, including application of semidefinite programming in connection with determining an initial population, and evolving the population with an evolutionary algorithm to bits of the biphase sequences including bit flipping. The found biphase sequences can be communicated to a variety of applications, including wireless communications technologies.

Abstract: Spectrum sensing in wireless communications is provided to identify utilized and/or unutilized frequency bands reserved for primary users using a cyclostationary beamforming approach. An adaptive cross self-coherent restoral (ACS) algorithm can be utilized to extract signals of interest (SOI) at unique cycle frequencies related to primary and/or secondary users from an antenna array measurement. Based on the SOI, one or more users of the spectrum can be identified or the spectrum can be regarded as vacant; this can be based on lobe identification in the frequency spectrum of the SOI, in one example. This mechanism is less complex than traditional cyclic spectrum analysis methods. The cyclostationary beamforming based approach is more effective than the energy detection method. Also, the need for quiet periods in spectrum sensing is eliminated when using this mechanism such that signals can be transmitted simultaneously with receiving signals over the antenna array.