ID 原文 译文
26075 本文对残差神经网络的原理、模型、结构进行了系统地总结，对残差神经网络的研究发展具有一定的积极意义。 In this paper, the principles, models, and structures of ＲesNet are systematically summarized, which has positive significance to the research and development of ＲesNet．
26076 为了突破 2 维或 3 维 Hilbert 空间限制，本文结合投票表决的实际需求，基于 Shamir (t，n)门限思想，提出了一个 d 维三粒子纠缠态的量子投票表决方案。 To break through the limitations of two-dimensional or three-dimensional Hilbert space，a quantum voting scheme based on d-dimensional three-particle entangled state was proposed, which was designed by using Shamir (t，n) threshold to meet the actual demand for voting．
26077 该方案由投票管理中心、投票群组、监票人和计票人四个实体共同完成投票工作。 The scheme consists of four entities: the voting management center, the voting group, the scrutineer and the ballot counter, which work together to complete the voting.
26078 该方案使用 d 维量子纠缠态增强了适用性，使用单粒子作为投票载体提升了传输效率。 In this scheme, a d-dimensionalquantum entanglement state is used to enhance the applicability, and the single particle is used as the voting carrier to improve the transmission efficiency．
26079 该方案的正确性通过在 IBM 量子云平台上的模拟仿真得以证实。 The correctness of the proposed scheme was verified by the experimental simulations onthe IBM quantum cloud platform．
26080 安全性分析表明，该方案在满足投票方案的安全性需求基础上，能抵抗截获-测量-重发、纠缠测量和伪造攻击。 Security analysis shows that the scheme meets the security requirements of voting schemes, and resists intercept-measure-resend attack, entangle-measure attack, and forgery attack．
26081 性能分析表明，随着参与人数的增多，该方案比其他相似的投票方案具有更高的量子比特效率。 Performance analysis shows that with the increase of the number of participants, the scheme has higher qubit efficiency than other similar schemes．
26082 由于粒子退化，基于粒子滤波的多伯努利检测前跟踪滤波器对多目标后验密度的估计不准确，导致量测非相参积累的效果不理想。 Due to the particle degeneracy, the particle filter based multi-Bernoulli track-before-detect (TBD) filter has an inaccurate estimate of the multi-target posterior density, which leads to the poor performance of measurement non-coherent integration．
26083 为此，将 Geodesic 粒子流引入多伯努利检测前跟踪算法，以提升后验密度估计的准确度。 In order to solve this issue, the Geodesic particle flow is introduced into the multi-Bernoulli TBD algorithm to improve the estimation of the posterior density．
26084 此外，合并航迹时利用目标的航向信息，从而降低航迹交叉时不同目标的航迹被错误合并的概率。 In addition, in the track-merging step, the course information of thetarget is exploited, which reduces the probability of merging tracks of different targets when they cross．