题目：A Review of Machine Learning Techniques for Optical Wireless Communication in Intelligent Transport Systems

作者：T. Sefako, F. Yang, J. Song, R. Balmahoon and L. Cheng

来源：Intelligent and Converged Networks, vol. 5, no. 4, pp. 284-316.

摘要：Intelligent Transport Systems (ITS) are crucial for safety, efficiency, and reduced congestion in transportation. They require efficient, secure, high-speed communication. Radio Frequency (RF) technologies like Fifth Generation (5G), Beyond 5G (B5G), and Sixth Generation (6G) are promising, but spectrum scarcity mandates coexistence with Optical Wireless Communication (OWC) networks, which offer high data rates and security, forming a strong foundation for hybrid RF/OWC applications in ITS. In this paper, we delve into the application of Machine Learning (ML) to enhance data communications within OWC systems in ITS. We commence by conducting an in-depth examination of the data communication prerequisites and the associated challenges within the ITS domain. Subsequently, we elucidate the compelling rationale behind the convergence of heterogeneous RF technologies with OWC for data communications in ITS scenarios. Our investigation then pivots towards elucidating the indispensable role played by ML in optimizing data communications via OWC within ITS. To provide a comprehensive perspective, we systematically evaluate and compare a spectrum of ML methodologies employed in OWC ITS data communications. As a culmination of our study, we proffer a set of valuable recommendations and illuminate promising avenues for future research endeavors that warrant further exploration within this critical intersection of ML, OWC, and ITS data communications.

题目：Multiscale Information Fusion Based on Large Model Inspired Bacterial Detection

作者：Z. Liu, Y. Huang, J. Wang, G. Yuan and J. Pang

来源：Big Data Mining and Analytics, vol. 8, no. 1, pp. 1-17

摘要：Accurate and efficient bacterial detection is essential for public health and medical diagnostics. However, traditional detection methods are constrained by limited dataset size, complex bacterial morphology, and diverse detection environments, hindering their effectiveness. In this study, we present EagleEyeNet, a novel multi-scale information fusion model designed to address these challenges. EagleEyeNet leverages large models as teacher networks in a knowledge distillation framework, significantly improving detection performance. Additionally, a newly designed feature fusion architecture, integrating Transformer modules, is proposed to enable the efficient fusion of global and multi-scale features, overcoming the bottlenecks posed by Feature Pyramid Networks (FPN) structures, which in turn reduces information transmission loss between feature layers. To improve the model's adaptability for different scenarios, we create our own QingDao Bacteria Detection (QDBD) dataset as a comprehensive evaluation benchmark for bacterial detection. Experimental results demonstrate that EagleEyeNet achieves remarkable performance improvements, with mAP50 increases of 3.1% on the QDBD dataset and 4.90% on the AGRA dataset, outperforming the State-Of-The-Art (SOTA) methods in detection accuracy. These findings underscore the transformative potential of integrating large models and deep learning for advancing bacterial detection technologies.

题目：技术驱动与体验牵引并重：数字文化高质量发展路径探析

作者：姜婷婷、陈雪、孙竹墨

来源：图书情报知识, 2024, 41(6): 83-93,112.

摘要：本文首先调查展示了沉浸式媒介和自然式交互这两大类前沿技术在数字文化领域的应用现状；而后针对技术导向的数字文化体验雷区，提出了以数字技术为引擎、以体验设计与度量为双翼的“一擎两翼”模型。数字文化“一擎两翼”模型引入了备受推崇的“以用户中心”数字体验设计理念，并对过去受到忽视的数字文化用户需求挖掘、偏好识别、反馈分析工作进行了重点阐释。展望未来，多感官呈现、多模态交互、多样化体验度量将成为数字文化的重要发展趋势。通过基础理论构建和实践经验总结凸显了新兴技术驱动和用户体验牵引对于推进数字文化高质量发展的意义。

题目：链上链下一致性保护技术综述

作者：高婷婷、姚中原、贾淼、斯雪明

来源：计算机应用, 2024, 44(12): 3658-3668.

摘要：区块链不可篡改的特性保证了链上数据的一致性，而链下数据可能在记录、存储、传输的过程中遭到破坏，这会造成链上和链下数据不一致的问题，进而极大地影响区块链技术的落地发展；因此，需要一些机制保证链上链下数据的一致性。针对链上和链下数据不一致的问题，总结目前的一些链上链下一致性保护技术。首先，介绍链上链下一致性的基本概念，并指出一致性问题的重要性；其次，从预言机机制、数据完整性机制和链上链下数据协同机制这3个方面综述链上链下一致性保护技术，并对比分析一些链上链下一致性保护方案；最后，从3个方面展望链上链下一致性保护技术，为区块链从业者和研究者们进一步深入探讨和研究链上链下一致性保护方法提供理论参考，进而促进区块链应用的落地。

题目：数字产业化的理论逻辑与实践路径

作者：马费成、王淳洋

来源：信息资源管理学报, 2024, 14(6): 4-16.

摘要：数字产业化是数字经济的核心与基础，对经济、社会产生了巨大影响。本文在梳理数字产业化的内涵和测度方式的基础上，探讨数字产业化的逻辑进路：技术的创新与应用改变了数据、信息和知识的结构和分布，形成了独特的产品和服务，进而形成数字产业链和产业集群；与传统产业结合，推动传统产业的转型升级。新质生产力为数字产业化的质变提供了重要契机，依托新质生产力，提出实践路径：以“新基建”引领数字基础设施建设，以原创性、颠覆性技术强化核心技术研发，以数据要素市场化改革激发数据要素资源潜力，以完善的人才培养与引进体系保障数字化人才供给，以战略性新兴产业为龙头打造数字产业集群，以赋能传统产业数字化转型推动数实深度融合，以数字产业生态系统建设释放数字产业化新动能。本研究可为深化对数字产业化的理解、推进数字产业化改革提供见解。

题目：面向物联网的区块链共识算法综述

作者：牛科迪、李敏、姚中原、斯雪明

来源：计算机应用, 2024, 44(12): 3678-3687.

摘要：目前大多数共识算法都需要较高的计算能力或特定的通信环境，不适合用于资源受限的物联网（IoT）。针对传统的区块链中的共识算法应用到IoT时的局限性，综述了面向IoT的区块链共识算法。首先，从基于实用拜占庭容错算法（PBFT）的改进共识算法、基于其他共识算法的改进算法和适用IoT的新型区块链共识算法这3个类别的方向介绍和总结归纳面向IoT的共识算法；其次，建立共识算法的基本评价指标体系，并从去中心化、可扩展性、安全性、延迟和能耗等5个方面对比共识算法；最后，分析面向IoT的共识算法面临的挑战与未来研究方向。基本评价指标体系分析表明，新型共识算法比基于传统共识算法进行改进的共识算法更适配IoT，为面向IoT的区块链共识算法研究提供了参考。