Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.

Abstract: Described herein are reinforcing members for use in fabricating reinforced concrete, as well as methods of fabricating such reinforcing members. A reinforcing member can include a central reinforcement element and a supplementary cementitious material coated on the central reinforcement element. A method can including applying the supplementary cementitious material to the central reinforcement element, placing concrete around the reinforcing member, and allowing the concrete to cure. The supplementary cementitious material can be a pozzolan.

Abstract: A method, apparatus and system for testing the self-sealing properties of a concrete sample. The method may include providing an apparatus for creating a consistent and reproducible crack in a concrete sample and creating a consistent and reproducible crack in the concrete sample with the apparatus. The method may further include providing a fluidic delivery system that provides a consistent flow of fluid for testing the self-sealing properties of the concrete sample and testing the self-sealing properties of the concrete sample with the system.

Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.

Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.

Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.

Abstract: A method, apparatus and system for testing the self-sealing properties of a concrete sample. The method may include providing an apparatus for creating a consistent and reproducible crack in a concrete sample and creating a consistent and reproducible crack in the concrete sample with the apparatus. The method may further include providing a fluidic delivery system that provides a consistent flow of fluid for testing the self-sealing properties of the concrete sample and testing the self-sealing properties of the concrete sample with the system.