| ID | 原文 | 译文 |
| 4733 | 首先讨论了工业互联网标识解析体系设计原则和关键支撑技术，其次对现有标识解析体系进行了概述和对比分析，然后阐述了新型标识解析方案研究成果，最后讨论了该领域面临的核心问题，并对未来发展趋势进行了展望。 | Firstly, we discussed the design principles and key supporting technologies of the identity resolution system in industrial IoT. Then summarized and compared the existing identity resolution systems in detail.Next, the new identity resolution schemes in academic research were introduced. Finally, the core problems and the futureresearch trend in this field were discussed. |
| 4734 | 基于中短距光纤通信系统特点，开展了 3 种高性能自适应调制编码技术研究。 | According to the features of short-to-medium reach optical fiber communication systems, three high perfor-mance adaptive modulation and coding schemes were investigated. |
| 4735 | 第一种方案在传统的比特与功率加载（BPL）的基础上引入前向纠错编码维度，实现三维自适应调制编码。 | In the first one, a new dimension, forward error cor-rection (FEC), was introduced to the traditional bit and power loading (BPL) scheme, and the three-dimensional adaptivemodulation and coding were achieved. |
| 4736 | 该算法基于查找表分配调制与编码格式，比 BPL 算法的复杂度更低，传输速率更高。 | The modulation format and FEC code were allocated based on look-up table(LUT). The proposed algorithm has lower complexity and higher data rate compared to the BPL scheme. |
| 4737 | 同样基于查找表，第二种方案借助于分块预编码实现了和传统 BPL 相同的速率，但削减了最高 2 dB 的信号功率峰均比，提高了功率效率。 | The second one was also based on LUT method where one similar data rate with the BPL scheme was achieved using partitioned precod-ing, but peak-to-average power ratio was reduced up to two dB, and the power efficiency was improved. |
| 4738 | 第三种方案采用概率整形（PS）QAM 作为调制格式，以合理的复杂度为代价换取整形增益与几乎无限精细的调制粒度。 | In the last scheme, probabilistic shaping QAM was adopted as the modulation format, and shaping gain and almost indefinitely finemodulation granularity were achieved at the expense of certain complexity. |
| 4739 | 依靠自适应分块预编码，在不降低速率的条件下，限制 PS-QAM 的数目以降低复杂度。 | With adaptive partitioned precoding, without decreasing data rate the number of PS-QAM was limited to reduce the complexity. |
| 4740 | 实验表明，第三种方案实现了远优于 BPL 方案的速率与更高的接收机灵敏度。 | The experimental results demonstratethat the proposed scheme outperforms the BPL scheme in terms of data rate and receiver sensitivity. |
| 4741 | 为了实现实时的、细粒度的网络性能监测与调整，并且满足不同应用的特定服务质量需求，提出了基于深度学习的面向 IP-over-EON 的可编程跨层网络业务性能感知系统。 | In order to realize real-time and fine-granularity network monitoring and adjustment, and satisfy the specificQoS demands of various applications, a deep learning (DL) assisted programmable multilayer network application per-formance awareness system for IP-over-EON was proposed. |
| 4742 | 该系统将基于网络业务性能感知的分布式网络监测与集中式网络管控相结合，分布式网络监测实现跨层和细粒度的网络监控，并基于深度学习进行数据分析。 | The distributed network monitoring based on network ap-plication performance awareness was combined with centralized network management. The multilayer and fine-grainednetwork monitoring was implemented by distributed network monitoring, and the data analysis through DL was per-formed. |