ID 原文 译文
57598 提出一种缓存辅助边缘计算的卸载决策制定与资源优化方案，以进一步降低移动边缘计算( MEC) 系统中终端设备的能量消耗. An offloading decision and resource optimization scheme for cache-assisted edge computing is proposed to further reduce the energy consumption of terminal devices in the mobile egde computing ( MEC) system.
57599 首先，建立该优化问题为最小化用户在任务执行时最坏情况下的能耗值，并将这一混合整数规划问题转化为非凸的二次约束二次规划( QCQP) 模型，使用半定松弛及随机概率映射方法获得缓存辅助下的预选卸载集合; Firstly，the optimization problem is established to minimize the worst-case energy con- sumption of user during the task execution，and the mixed integer programming problem is transformed in- to a non-convex quadratic constrained quadratic programming( QCQP) model.
57600 其次，分别采用拉格朗日对偶分解法和二分法求得性能约束下的最优传输功率及边缘计算资源分配，从而通过对比该集合中的设备能耗得到理想的卸载决策集合与资源分配方案. Semidefinite-relaxation and randomization probability mapping are used to obtain the pre-selected offloading set assisted by caching; Secondly，the Lagrangian dual decomposition method and the bisection method are utilized to acquire the optimal transmission power and edge computing resource under constraints.
57601 实验数值结果表明，所提方案能够有效降低用户能量消耗，提升边缘计算系统的服务性能. By comparing the energy con- sumption of the set of devices，an ideal set of offloading decision and resource allocation scheme are got. Experiment shows that the proposed scheme can effectively reduce the energy consumption and improve the service performance of the edge computing system.
57602 针对基于正交振幅调制( QAM) 星座的未编码空时标记分集( USTLD) 系统包络不恒定和频谱效率较低的问题，分别提出了相移键控星座的 USTLD 系统映射器设计方法和基于媒介调制( MBM) 的 USTLD 系统，并对该系统的理论误码性能进行了分析. Aiming at the problem that the envelope of the uncoded space-time labeling diversity ( USTLD) system based on quadrature amplitude modulation ( QAM) constellation is not constant and the spectrum efficiency is low，the design method of mappers for phase shift keying ( PSK) constellation and the USTLD system based on media based modulation ( MBM) is proposed respectively. A bound of the average bit error probability of the proposed system is derived.
57603 由于 USTLD-MBM 系统检测复杂度较高，故提出了该系统的低复杂度检测算法. Due to the high detection complexity of the USTLD-MBM system，a low complexity detection algorithm for the system is given.
57604 仿真结果表明，在相同频谱效率的情况下，USTLD-MBM 系统的误码性能优于 USTLD 系统.在 USTLD-MBM 系统中，球形译码算法的误码性能与最大似然算法几乎一致，复杂度降低了约 50% Simulations show that the error performance of the USTLD-MBM system is better than that of the USTLD system under the same spectral efficiency. Due to the high detection complexity of the USTLD-MBM system，a low complexity detection algorithm for the system is given. In the USTLD-MBM system，the bit error performance ( BEＲ) of the sphere decoding algorithm is almost identical to the maximum likelihood ( ML) algorithm，and the complexity is reduced by about 50% .
57605 针对颅脑计算机断层成像( CT) 影像中脑出血的分析和识别，提出采用神经网络模型 U-Net 与轮廓识别相结合的方法提取脑实质区域，通过阈值分割算法分析血块的图像纹理特征，并过滤软组织、脑组织和脑脊液等无关生理组织结构，实现对颅内出血点的精确定位， Aiming at analysis and recognition of cerebral hemorrhage from craniocerebral computed tomography ( CT) images，a method combining neural network model U-Net with contour recognition is proposed to extract brain parenchymal regions. The image texture features of hemorrhagic area are firstly extracted by adaptive threshold segmentation algorithm，the precise location of hemorrhagic area is thereafterobtained through filtering the irrelevant physiological tissues such as soft tissue，brain tissue and cerebrospinal fluid.
57606 最后采用插值方法将出血区域进行三维重建，对血块的三维形态作出评估. Finally，a three-dimensional structure of the hemorrhagic area is reconstructed based on interpolation to evaluate the amount of hemorrhage.
57607 在天津市某医疗机构提供的 500 例颅脑 CT 数据上进行了验证测试，实验结果表明，该算法达到 97.4% 的目标识别准确率，能够为脑出血诊断提供参考. A validation test with 500 patients from medical institution in Tianjin shows that the algorithm achieves a target recognition accuracy of 97. 4% and could provide reference for the diagnosis of cerebral hemorrhage.