Subjects: Physics >> Nuclear Physics submitted time 2023-09-04 Cooperative journals: 《核技术》
Abstract： Through the use of the accelerator facilities at home and abroad, the nuclear reaction group of the China Institute of Atomic Energy has made many remarkable achievements in the study of fusion-fission dynamics, fusion-enhancement mechanisms at sub-barrier energies, reaction dynamics induced by exotic nuclei, and the related exotic nuclear structure and proton decay. In this study, some representative achievements are reviewed briefly. (1) The fusion mechanisms at near-barrier energies were investigated systematically, and a self-consistent method to evaluate the coupled-channel effects was proposed. (2) Nuclear deformation parameters were extracted from backward quasi-elastic scattering, which offered evidence for hexadecapole shapes. (3) A surrogate capture method was developed, based on which the first 239Pu(n,2n) excitation function developed in China was derived. (4) Systematic studies of exotic decay spectroscopies for proton-rich nuclei in the sd-shell were performed, following which a β2p decay of 22Si and a large isospin-asymmetry decay were discovered, and a strongly isospin-mixed doublet in 26Si was revealed. (5) Systematic studies of reaction mechanisms induced by exotic nuclei at energies close to the Coulomb barrier were performed, providing evidence for the failure of the dispersion relation in the optical potential of 6He+209Bi, and the reaction dynamics of proton drip-line nuclei of 8B and 17F were investigated. Future research based on the new HiTOF and BRIF facilities is discussed as well.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-04-01 Cooperative journals: 《计算机应用研究》
Abstract： Considering the performance deterioration of orthogonal frequency division multiplexing communication (OFDM) system due to narrowband interference (NBI) , this paper employed deep learning into NBI mitigation of OFDM systems and proposed two structures with convolutional neural network (CNN) . These two structures firstly pre-processed the received data in receiver, then adopted CNN to exploit the interference estimation in time domain. Finally the impact of NBI was removed from received signal. The simulation results demonstrate that the two systems can learn the interference effectively and improve system performance.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-24 Cooperative journals: 《计算机应用研究》
Abstract： Detection of pedestrians on the image using a sliding window mode results in a huge amount of invalid windows and inefficiency. To circumvent these problems for pedestrian detection, this paper proposed an approach, based on generic object generation, for rapid detection of pedestrian. Firstly, the approach generated the generic object proposals by the Improved Binarized Normed Gradients, and then calculated the character of proposals based on our NDOG feature descriptor. Experimental results over the INRIA and Caltech-USA pedestrian datasets show that our approach reduces the number of proposals effectively, and improves the efficiency and the detection accuracy significantly along with a linear SVM classifier.
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