13 May 2025, Volume 43 Issue 9
    

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    Foreword
  • ZHANG Hongke
    Science & Technology Review. 2025, 43(9): 1-2.
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  • Commentary
  • LIU Jiewei, XUE Fulong, WANG Zhifeng
    Science & Technology Review. 2025, 43(9): 15-23. https://doi.org/10.3981/j.issn.1000-7857.2024.09.01276
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    This paper analyzes in detail the basic principles, development background and future applications of Laser Wireless Power Transmission (LWPT) technology, which overcomes the limitations of traditional power transmission methods by virtue of its high directionality, high energy density, and long–distance transmission capability, providing a revolutionary solution for emerging fields such as unmanned aerial vehicles, flying cars, and space power generation. Despite the current technical challenges of beam targeting, energy conversion efficiency, and atmospheric effects, continuous research and innovation are gradually breaking through these bottlenecks. This paper highlights the important application prospects of LWPT technology in low–altitude economy and commercial spaceflight, looks into the future possibilities of combining LWPT technology with laser communication, satellite remote sensing and positioning, and emphasizes the importance of multi–industry cooperation and technological innovation. By promoting the development of this technology, we are expected to usher in a revolution in the field of energy transmission and provide a solid guarantee for the development of modern society in multiple fields.
  • Special to S & T Review
  • ZHANG Weiting, REN Jiadong, ZHANG Hongke
    Science & Technology Review. 2025, 43(9): 24-30. https://doi.org/10.3981/j.issn.1000-7857.2024.08.01036
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    With the rapid development of digital economy, computing-aware network (CAN) is expected to become a new generation of information infrastructure, and its importance to the development of "new quality productivity" has become increasingly prominent. The development needs and trends, key problems and challenges, and application demonstration and verification of CANs are systematically sorted out and deeply investigated. The study found that the CAN presents the characteristics of ubiquitous, intelligent, reliable, and green, however, it is still in the initial stage, and no consensus has been reached in terms of technical system and working mechanism. In response to the above challenges, the corresponding development suggestions were put forward from the national, industrial, and technical levels, including accelerating the top-level design and standard formulation, promoting the research and development of key technologies, and building a green industrial ecology. These suggestions are of great significance for promoting the deep integration of CANs and traditional networks and accelerating the development of digital economy.
  • Exclusive
  • LIANG Teng, YANG Jian, YANG Jiayu, ZHANG Yu, ZHANG Weizhe
    Science & Technology Review. 2025, 43(9): 31-37. https://doi.org/10.3981/j.issn.1000-7857.2024.08.01032
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    The technology for high–performance long–distance transmission has significant strategic value in the context of China's "East Data, West Calculation" project, which aims to construct a nationwide integrated computing network. Three trends are driving new requirements for the paradigm of wide–area distributed computing power coordination: 1) the rise of AI large–scale model intelligent applications that demand extremely high computing resources, 2) the embargo on high–performance GPU chips limiting single–center computing power resources, and 3) the formation of a dispersed computing power distribution pattern due to the establishment of computing clusters across various regions in China. High–performance long–distance transmission technology is crucial for this new paradigm. This paper discusses five aspects: supporting the new paradigm of wide–area distributed computing resource coordination, technical routes, underlay networks, challenges, and costs. Based on the results of a real–network experiment spanning 2100 kilometers from Shenzhen to Zhongwei in Ningxia, the authors believe that optimizing existing RDMA technology for long–distance transmission over wide–area optical networks is one of the most feasible and cost–effective solutions in the short term. By optimizing RoCE (RDMA over Converged Ethernet) over wide–area optical networks, it is possible to achieve "optical direct access to data in WAN" approaching physical layer communication performance indicators.
  • ZHOU Xu, WU Hong, ZHANG Wei, SONG Junping
    Science & Technology Review. 2025, 43(9): 38-47. https://doi.org/10.3981/j.issn.1000-7857.2024.08.01034
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    Ultra–high–definition (UHD) video is one of the key development directions for China's audiovisual industry. In response, relevant national departments have introduced a series of policies to encourage and support the development of the UHD video industry. The processes of capturing, transmitting, producing, and broadcasting UHD video, especially when integrated with advanced AI content generation technologies such as ChatGPT and Sora, exhibit typical characteristics of high bandwidth, high computing power, and low latency. These characteristics pose significant challenges to computing power and network infrastructure. Based on the typical requirements of UHD video and the latest trends in computing and network technologies, this paper proposes a computing power network architecture tailored for UHD video. It comprehensively employs key computing power network technologies such as heterogeneous computing resource networking and secure transmission technologies, UHD video service demand modeling and resource orchestration technologies, joint scheduling and routing planning technologies combining "data, computing, and modeling," and high–speed transmission technologies for UHD video. This approach aims to achieve the aggregation and networking of heterogeneous computing power across the country, thereby meeting the diverse computing and network transmission needs of various stages of UHD video processing, including capture, editing, and broadcasting.
  • MU Yubo, CHAI Yaolin, HAN Shujun, BI Libo
    Science & Technology Review. 2025, 43(9): 48-53. https://doi.org/10.3981/j.issn.1000-7857.2024.08.01037
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    As a security protection mechanism for convergence of computing and networking, security of networking and computing is a new technology and new engineering. Security of networking and computing involves zero trust, security access service edges, and blockchain of networking and computing and other technologies. It can provide a multi–dimensional security guarantee for the integration of the network, platform, application, and data in a security system. This article outlines the overall development trend of security of networking and computing, extracts the technical reference architecture of security of networking and computing, summarizes three typical application practices including security of computing and network convergence, security of cloud and network, and security of industry integration. Finally, combined with the severe challenges faced by the current security of networking and computing field, three aspects of development suggestions from standard system construction, application practice planning, and industrial ecological construction are given three aspects of development.
  • HUANG Guangping, MA Liwei, TAN Bin, Lü Pengwei, MIAO Chuanyang
    Science & Technology Review. 2025, 43(9): 54-61. https://doi.org/10.3981/j.issn.1000-7857.2024.08.01035
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    Computing-aware traffic routing(CATR), building upon traditional IP networks, collaboratively perceives computing resource information to provide efficient and flexible network capabilities, enabling the effective coordination of computing resource and networks. With technological advancements, it is gradually moving toward industry practice. This article elaborates on and analyzes the progress in technical research and key enabling technologies of CATR, such as independent semantic computing service identification and hierarchical CATR. Based on this, it proposes technical expansion directions for CATR, such as hybrid computing-network service function chains, and highlights the advantages of deploying CATR in business applications. It is recommended to leverage the outcomes of standardization efforts to further promote the implementation of CATR related technology in products and business applications.
  • REN Jie, LIU Chang, HAN Bowen, WEN Chenyang, XU Bohua, CAO Chang
    Science & Technology Review. 2025, 43(9): 62-75. https://doi.org/10.3981/j.issn.1000-7857.2024.08.01038
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    Amidst the rapid expansion of large-scale models and the AI sector, epitomized by advancements like ChatGPT, there is a burgeoning demand for intelligent computing power to facilitate extensive distributed computing applications. Traditional data centers are facing challenges to accommodate the performance requisites of these scenarios. Currently, the Chinese government has already issued numerous policies to expedite the development of artificial intelligence data centers, purveying clear policy guidance and accelerated planning and construction blueprints. A high-performance network is pivotal within AIDC, serving as the backbone for computational tasks and enabling inter-data center connectivity and efficient data transmission.This paper aims to establish a robust technical framework to propel the continuous development of high-performance network by primarily investigating key technologies for high-performance networks in artificial intelligence data center (AIDC). Core requirements in transport protocols, networking, and operation administration and maintenance (OAM) for large-scale AI tasks are studied. Based on these demands, this paper further investigate the evolving demands on different layers of Artificial Intelligence Network and delves into core technologies, e.g. network architecture, congestion control policy, load balance policy, operation administration and maintenance. Subsequently, from the two major perspectives of network protocol development and all-optical networks, this paper analyzes the future developmental trends of AIDC networks. To establish a robust high-performance network framework within AIDC, this paper concludes that sufficient network performance, such as a near-lossless network environment, adequate interconnectivity, and solutions to storage performance bottlenecks in distributed storage scenarios, must be purveyed effectively. Furthermore, the development of high-performance networks in AIDC necessitates the integration and synergy of key technologies, including standardized networking schemes, innovative load balancing and congestion control protocols, and advanced OAM mechanisms, to enhance operational efficiency. High-performance AIDC networks must also offer comprehensive and universal device and resource awareness, allocation, scheduling, and OAM across the entire network, providing highperformance lossless transmission capabilities.
  • Papers
  • FANG Jinfeng, CHEN Zuyi
    Science & Technology Review. 2025, 43(9): 76-83. https://doi.org/10.3981/j.issn.1000-7857.2024.01.00099
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    Cross-discipline is the growth point of new science and the inevitable trend of scientific development. The important application of location-based service, point-of-interest (POI) recommendation, as a research topic at the intersection of computer science and geographic information science, it plays an important role in promoting the cross-fertilization research of the two disciplines in the spatio-temporal data analysis and other related fields. This paper analyzes the influencing factors of POI recommendation, focuses on POI recommendation methods based on graph neural networks, including recommendation based on graph attention network, graph convolution network, and graph auto-encoder, with a comparative analysis of their respective characteristics; discusses some key challenges encountered in POI recommendation, such as data sparsity, cold start issues, and user dynamic preference issues, and proposes potential solution ideas to these challenges, makes prospects for the future development trend of POI recommendation.
  • ZENG Bo, MA Zhiliang, LI Shuaiyong, QU Hanbing, MENG Fanyin, ZHAO Liutao
    Science & Technology Review. 2025, 43(9): 84-92. https://doi.org/10.3981/j.issn.1000-7857.2024.07.00818
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    A thorough analysis of literature provides a systematic review of digital platforms for intelligent construction, focusing on three main aspects: overall characteristics of related research, current status of relevant studies, and case analysis of platforms. It examines the application status of related technologies such as BIM, cloud computing, and big data and explores their roles in achieving digital management throughout the entire project lifecycle. Taking the intelligent construction digital platform of Beijing's urban sub–center as a case study, it demonstrates how these technologies facilitate digital integration, delivery, and management of government investment projects, promoting innovative development in the industry. Finally, it summarizes the shortcomings of current research and looks ahead to future prospects.
  • Policy Forum
  • AXI Wure, HOU Yude
    Science & Technology Review. 2025, 43(9): 93-96. https://doi.org/10.3981/j.issn.1000-7857.2024.11.01642
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    Taking 25 Japanese natural science Nobel Prize winners as research samples, SPSS 27.0 mathematical statistics software was used to make a quantitative analysis of the time distribution and institutional distribution characteristics of this group. Meanwhile, case studies of Nakamura Shuji and other Japanese natural science Nobel Prize winners were introduced. Based on the important views and statements of Academician Hao Bolin and other Chinese scientists on the development of science and technology, this paper makes an in-depth interpretation and reflection on the statistical results, and puts forward suggestions on establishing a long-term scientific research evaluation system, cultivating innovative scientific research talents, mobilizing the enthusiasm of enterprises for basic research and creating a good scientific research environment.
  • Science and Humanity
  • ZHOU Yue, WANG Shuhong
    Science & Technology Review. 2025, 43(9): 97-100. https://doi.org/10.3981/j.issn.1000-7857.2024.05.00457
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    Oscar Zariski, one of the most distinguished mathematicians in America in the 20th century, is credited with founding the American school of algebraic geometry. This paper explores Zariski’s remarkable contributions to mathematics through an in-depth study of his works and related literature. Zariski exhibited a profound interest in mathematics from a young age, under the influence of the Italian school of algebraic geometry, embarked on his journey into algebraic geometry. He initially employed topological methods to study algebraic geometry, and subsequently utilized commutative algebraic approaches to reconstruct the logical foundations of algebraic geometry. Zariski pursued academic rigor, demonstrated courage in innovating research methods, and nurtured numerous young talents, thus exemplifying the noble spirit of a scientist.