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The 1970s witnessed the deepening of marketization because of the introduction of reform and opening up in China. Profound changes were observed in the ties among Chinese industry-featured universities, government competent authorities and the market. Faced with ever-evolving environment, China University of Geosciences (CUG) managed to transform itself from a single-discipline group geological college to a multidisciplinary university with geological disciplines as its major feature, with integrated development of multiple disciplines. Drawing on the Second Curve Theory, this research presents a case study on CUG, with the strategic change concepts, practices, accomplishment and effects in various stages of its transformative development comprehensively covered and analyzed, making an attempt at summarizing features and implications of its strategic change. Findings of this research reveal that being adept at grasping well the timing for university change, establishing clearly-defined shared vision, developing the system of school running concepts and strategic planning, stressing management on strategic process and clearly identifying roles among leaders at all level, prove to be pivotal to the strategic change of CUG. The strategic change analysis framework of university transformative development could further add insights to theoretic discoveries in this field, and experience could be provided to transformative development of Chinese universities, and even those in other countries in the world. [ABSTRACT FROM AUTHOR]

As a novel computational imaging (CI) method, single pixel imaging (SPI) can obtain the spatial information of the target object with only a single-pixel detector, especially the SPI with Fourier basis has higher imaging efficiency and quality. However, Fourier single-pixel imaging (FSI) will still be affected in atmospheric turbulence, imaging will be unstable, and image quality will decrease. This paper first uses the phase screen method to simulate atmospheric turbulence, and then in the FSI process, the Fourier coefficients are processed to filter noise in the Fourier domain to reduce the impact of turbulence on imaging. Then we use the conditional generative adversarial network (CGAN) of deep learning methods to further improve the clarity and quality of the restored image. [ABSTRACT FROM AUTHOR]

There is a method that presents for securing much information at the same time, which need not be restricted to a single image data. Based on ghost imaging, this paper proposes a new encryption algorithm: multi-image holographic encryption based on phase recovery algorithm and ghost imaging (PRA-GI). In the encryption process, first, multiple images are combined into one phase hologram image by phase holographic recovery algorithm. Second, the combined image is encrypted by ghost imaging to obtain ciphertext. During the decryption, each receiver can get the same phase hologram image reconstructed by the public key. Finally, each receiver uses the unique assisted private key to get corresponding information. By numerical simulation, it is found that this algorithm can effectively improve the encryption capacity. Experimental results and objective indicators verify the feasibility of this algorithm. At the same time, PRA-GI is suitable for enterprises and governments. For example, the leader license different assisted private keys and the primary public key to different employees according to different permissions. This algorithm implements double encryption, which ensures the security of information and solves crosstalk problems among images. [ABSTRACT FROM AUTHOR]

In this paper, different signal reconstruction methods are combined with temporal ghost imaging. The different methods are verified by the data collected from the system of temporal ghost imaging with the chaotic light. Simulated results suggest that the method of total variance minimization gives high-quality reconstruction of the imaging object with less time consumption compared with other methods. The different performances among these reconstruction techniques are also analyzed. The result thus provides valuable information for temporal ghost imaging with the advantages of high security, fast speed imaging and high quality of reconstructed signal in the area of optical cryptography applications. [ABSTRACT FROM AUTHOR]