Infrared Image Reconstruction Based on Archimedes Spiral Measurement Matrix

It is a new research direction to realize infrared(IR) image reconstruction using compressed sensing(CS) theory. In the field of CS, the construction of measurement matrix is very principal. At present, the types of measurement matrices are mainly random and deterministic. The random measurement matrix can well satisfy the property of measurement matrix, but needs a large amount of storage space and has an inconvenient in hardware implementation. Therefore, a deterministic measurement matrix construction method is proposed for IR image reconstruction in this paper. Firstly, a series of points are collected on Archimedes spiral to construct a definite sequence; then the initial measurement matrix is constructed; finally, the deterministic measurement matrix is obtained according to the required sampling rate. Simulation results show that the IR image could be reconstructed by the measured values obtained through the proposed measurement matrix. Moreover, the proposed measurement matrix has better reconstruction performance compared with the Gaussian and Bernoulli random measurement matrices.     

绿色环保喷射混凝土工艺设备及其应用

隧道开挖过程中越来越注重绿色、环保、高效,现有潮喷混凝土施工存在粉尘大、回弹大、施工效率低下等问题。针对潮喷混凝土存在的问题,文章提出一种绿色环保高效喷射混凝土工艺,并研发了其相应配套设备。通过现场试验,该喷射混凝土工艺设备能有效提高喷射混凝土强度、降低回弹量和粉尘量、提高喷射效率、改善施工环境并可降低施工成本。