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学者姓名：陈国龙
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对体育赛事转播的保护,司法实践倾向于采用将体育赛事节目认定为作品的方式,但该做法对"独创性"判断标准依赖较强,且与"著作权-邻接权"的二元区分逻辑也稍有相悖,难以用来规范赛事传播中的盗播行为.相较而言,广播组织权作为规制盗播的天然制度工具,能够较好地实现对传播行为的保护.但是,随着网络转播的普及,网播组织已成为赛事转播的重要主体,碍于其不属于广播组织者,导致广播组织权无法全面保护体育赛事转播.有鉴于此,可参照国际层面共识和立法经验,扩大广播组织权的主体保护范围,使网播组织能够适用《著作权法》第47条,以广播组织权为基础性保护手段,同时结合其他保护方式,全面保障体育赛事转播权益.
Keyword ：
体育赛事节目 体育赛事节目 广播组织权 广播组织权 网播组织 网播组织 视听作品 视听作品
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| GB/T 7714 | 李智 , 陈国龙 . 体育赛事转播的著作权法保护研究 [J]. | 太原理工大学学报（社会科学版） , 2024 , 42 (4) : 57-65 . |
| MLA | 李智 等. "体育赛事转播的著作权法保护研究" . | 太原理工大学学报（社会科学版） 42 . 4 (2024) : 57-65 . |
| APA | 李智 , 陈国龙 . 体育赛事转播的著作权法保护研究 . | 太原理工大学学报（社会科学版） , 2024 , 42 (4) , 57-65 . |
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Abstract ：
对体育赛事转播的保护，司法实践倾向于采用将体育赛事节目认定为作品的方式，但该做法对“独创性”判断标准依赖较强，且与“著作权-邻接权”的二元区分逻辑也稍有相悖，难以用来规范赛事传播中的盗播行为。相较而言，广播组织权作为规制盗播的天然制度工具，能够较好地实现对传播行为的保护。但是，随着网络转播的普及，网播组织已成为赛事转播的重要主体，碍于其不属于广播组织者，导致广播组织权无法全面保护体育赛事转播。有鉴于此，可参照国际层面共识和立法经验，扩大广播组织权的主体保护范围，使网播组织能够适用《著作权法》第47条，以广播组织权为基础性保护手段，同时结合其他保护方式，全面保障体育赛事转播权益。
Keyword ：
体育赛事节目 体育赛事节目 广播组织权 广播组织权 网播组织 网播组织 视听作品 视听作品
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| GB/T 7714 | 李智 , 陈国龙 . 体育赛事转播的著作权法保护研究——以广播组织权为分析中心 [J]. | 太原理工大学学报(社会科学版) , 2024 , 42 (04) : 57-65 . |
| MLA | 李智 等. "体育赛事转播的著作权法保护研究——以广播组织权为分析中心" . | 太原理工大学学报(社会科学版) 42 . 04 (2024) : 57-65 . |
| APA | 李智 , 陈国龙 . 体育赛事转播的著作权法保护研究——以广播组织权为分析中心 . | 太原理工大学学报(社会科学版) , 2024 , 42 (04) , 57-65 . |
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In view of the shortcomings of the sparrow search algorithm in the face of complex problems with strong constraints, non-convexity and non-differentiability, such as unbalanced exploitation and exploration ability, easy to fall into local optimum, premature convergence and low population diversity, a multi-strategy hybrid sparrow search algorithm for complex constrained optimization problems is proposed. Firstly, the opposition-based learning strategy is used to construct a bi-directional initialization mechanism to achieve the purpose of obtaining the initial population with better distribution. Then, a position update formula based on the crossover and mutation operator is designed to expand the search range and enrich the search mechanism for balancing the exploration and exploitation ability of the algorithm, while improving the convergence accuracy and speed of the algorithm. Finally, the community learning strategy is used to refine the population, strengthen the exploitation ability and the ability to jump out of the local optima, and maintain the diversity of the population. The performance of the proposed algorithm is evaluated on 28 real constrained optimization problems of CEC2017 and 1 engineering optimization problems. The experimental results show that the proposed algorithm compared with other optimization algorithms has advantages such as stronger optimization ability, higher convergence accuracy, faster convergence speed and so on, which can be used to effectively solve complex constrained optimization problems. © 2023 Northeast University. All rights reserved.
Keyword ：
Balancing Balancing Constrained optimization Constrained optimization Learning algorithms Learning algorithms Learning systems Learning systems
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| GB/T 7714 | Liu, Geng-Geng , Zhang, Li-Yuan , Liu, Di et al. Multi-strategy hybrid sparrow search algorithm for complex cons-trained optimization problems [J]. | Control and Decision , 2023 , 38 (12) : 3336-3344 . |
| MLA | Liu, Geng-Geng et al. "Multi-strategy hybrid sparrow search algorithm for complex cons-trained optimization problems" . | Control and Decision 38 . 12 (2023) : 3336-3344 . |
| APA | Liu, Geng-Geng , Zhang, Li-Yuan , Liu, Di , Liu, Neng-Xian , Fu, Yang-Geng , Guo, Wen-Zhong et al. Multi-strategy hybrid sparrow search algorithm for complex cons-trained optimization problems . | Control and Decision , 2023 , 38 (12) , 3336-3344 . |
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Abstract ：
As the scale of integrated circuits grows, the number of nets greatly increases, which makes the runtime of layer assignment algorithm increase and becomes an important limiting factor of efficient routing algorithm. Besides, in the manufacture, vias always take high cost. Accordingly, this paper presents two strategies to reduce runtime and the number of vias: (1) an efficient region-division based parallel strategy, which realizes load balancing of parallel routing to improve the efficiency of routing algorithm; (2) an equivalent routing solution aware via optimization strategy, which determines the priority of each net in using routing resource to reduce the number of vias of layer assignment. Furthermore, combining the above two strategies, this paper proposes a via-aware parallel layer assignment algorithm for very large scale integration (VLSI) physical design. The experimental results show that the proposed algorithm is able to optimize the number of vias significantly and reduce runtime simultaneously. © 2022 Chinese Institute of Electronics. All rights reserved.
Keyword ：
VLSI circuits VLSI circuits
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| GB/T 7714 | Liu, Geng-Geng , Li, Ze-Peng , Guo, Wen-Zhong et al. Via-Aware Parallel Layer Assignment Algorithm for VLSI Physical Design [J]. | Acta Electronica Sinica , 2022 , 50 (11) : 2575-2583 . |
| MLA | Liu, Geng-Geng et al. "Via-Aware Parallel Layer Assignment Algorithm for VLSI Physical Design" . | Acta Electronica Sinica 50 . 11 (2022) : 2575-2583 . |
| APA | Liu, Geng-Geng , Li, Ze-Peng , Guo, Wen-Zhong , Chen, Guo-Long , Xu, Ning . Via-Aware Parallel Layer Assignment Algorithm for VLSI Physical Design . | Acta Electronica Sinica , 2022 , 50 (11) , 2575-2583 . |
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本发明涉及一种用于VLSI的基于通路感知的并行层分配方法。 本发明提出了一种基于区域划分的策略，通过感知区域内的网数，可以保持各区域的负载均匀，从而提高了策略的效率。 本发明还提出了一种通路优化策略，该策略根据网络的3D等价路由结果数量的差异，确定网络使用路由资源的优先级，从而有效减少层分配结果的通路数量。
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| GB/T 7714 | Liu Genggeng , Guo Wenzhong , Chen Guolong . 一种基于VLSI的通孔感知的并行层分配方法 : LU502057[P]. | 2022-05-10 . |
| MLA | Liu Genggeng et al. "一种基于VLSI的通孔感知的并行层分配方法" : LU502057. | 2022-05-10 . |
| APA | Liu Genggeng , Guo Wenzhong , Chen Guolong . 一种基于VLSI的通孔感知的并行层分配方法 : LU502057. | 2022-05-10 . |
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一种用于构造用于逻辑验证的实际架构级FPGA路由器的方法，包括： S1 : 生成每个网的路由拓扑：为每个网生成路由原型，在分配TDM比率之前，在每个网中路由FPGA或并行路由所有网，以保证网的连通性； S2 : 执行TDM比率分配：根据每个网组的延迟将TDM比率分配给每个网的每个边缘； 和S3 : 优化系统的系统延时：通过迭代连续并行优化大TDM比的网组，直到满足迭代结束条件，从而结束整个路由器的处理。 该方法可以通过减小相应的系统延迟来提高芯片性能。
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| GB/T 7714 | Liu Genggeng , Guo Wenzhong , Chen Guolong . 一种构造用于逻辑验证的实用架构级FPGA路由器的方法 : LU502060[P]. | 2022-05-10 . |
| MLA | Liu Genggeng et al. "一种构造用于逻辑验证的实用架构级FPGA路由器的方法" : LU502060. | 2022-05-10 . |
| APA | Liu Genggeng , Guo Wenzhong , Chen Guolong . 一种构造用于逻辑验证的实用架构级FPGA路由器的方法 : LU502060. | 2022-05-10 . |
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Social Internet of Things is the fusion carrier of social network and Internet of Things. In the social Internet of Things, millions of different intelligent objects connect and communicate with each other, and social data emerge rapidly, which puts forward higher requirements for the rapid dissemination of valuable information. As an important means of information retrieval, the research and application of multi-label classification technology in social Internet of Things environment is relatively few. Characterized by multi-labels cognitive learning, fast response, concept drifting and huge solution space, the multi-label learning becomes more complicated under data stream environment. To overcome the problems above, this paper proposed a multi-label algorithm based on kernel extreme learning machine. In the training phase, both Cholesky matrix decomposition inverse method and matrix block method were deployed on the Spark platform to solve the inverse problem of large matrix, thus improving the modeling efficiency. In addition, incremental learning of the model was realized from the two aspects of example increment and class increment. The online sequential extreme learning machine is improved to adjust the network weights and realize incremental updating of input dimension. Meanwhile, the output layer nodes were divided and assembled in the way of "concept group," which made the single classifier model structure scalable. And the label incremental learning is realized in the output dimension. Experimental results on large-scale datasets and practical datasets under stream environment demonstrate that the proposed method provides an efficient solution to multi-label classification.
Keyword ：
Class-incremental learning Class-incremental learning Data stream Data stream Example-incremental learning Example-incremental learning Extreme learning machines Extreme learning machines Internet of Things Internet of Things Kernel Kernel Kernel extreme learning machine Kernel extreme learning machine Matrix decomposition Matrix decomposition Multi-label learning Multi-label learning Periodic structures Periodic structures Prediction algorithms Prediction algorithms SIoT SIoT Training Training
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| GB/T 7714 | Luo, Fangfang , Liu, Genggeng , Guo, Wenzhong et al. ML-KELM: A Kernel Extreme Learning Machine Scheme for Multi-Label Classification of Real Time Data Stream in SIoT [J]. | IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING , 2022 , 9 (3) : 1044-1055 . |
| MLA | Luo, Fangfang et al. "ML-KELM: A Kernel Extreme Learning Machine Scheme for Multi-Label Classification of Real Time Data Stream in SIoT" . | IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 9 . 3 (2022) : 1044-1055 . |
| APA | Luo, Fangfang , Liu, Genggeng , Guo, Wenzhong , Chen, Guolong , Xiong, Naixue . ML-KELM: A Kernel Extreme Learning Machine Scheme for Multi-Label Classification of Real Time Data Stream in SIoT . | IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING , 2022 , 9 (3) , 1044-1055 . |
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随着集成电路规模的日益增长,需要处理的线网数量显著增多,层分配算法运行时间增大成为限制高效设计布线方案的重要因素;此外在生产工艺中,通孔的制造成本较高.针对以上两个问题,本文提出了两种新颖的策略分别用于优化算法运行时间和通孔数量:(1)一种高效的基于区域划分的并行策略,实现各区域在并行布线阶段负载均衡,以提高并行布线的效率;(2)基于线网等效布线方案感知的通孔优化策略,决定各线网对布线资源使用的优先级,进而减少层分配方案的通孔数量.最终将上述两种策略相结合,提出了一种面向超大规模集成电路物理设计的通孔感知的并行层分配算法.实验结果表明该算法对通孔数量和运行时间均有良好的优化效果.
Keyword ：
区域划分 区域划分 层分配 层分配 并行算法 并行算法 负载均衡 负载均衡 超大规模集成电路 超大规模集成电路 通孔 通孔
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| GB/T 7714 | 刘耿耿 , 李泽鹏 , 郭文忠 et al. 面向超大规模集成电路物理设计的通孔感知的并行层分配算法 [J]. | 电子学报 , 2022 , 50 (11) : 2575-2583 . |
| MLA | 刘耿耿 et al. "面向超大规模集成电路物理设计的通孔感知的并行层分配算法" . | 电子学报 50 . 11 (2022) : 2575-2583 . |
| APA | 刘耿耿 , 李泽鹏 , 郭文忠 , 陈国龙 , 徐宁 . 面向超大规模集成电路物理设计的通孔感知的并行层分配算法 . | 电子学报 , 2022 , 50 (11) , 2575-2583 . |
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Biological pattern formation ensures that tissues and organs develop in the correct place and orientation within the body. A great deal has been learned about cell and tissue staining techniques, and today's microscopes can capture digital images. A light microscope is an essential tool in biology and medicine. Analyzing the generated images will involve the creation of unique analytical techniques. Digital images of the material before and after deformation can be compared to assess how much strain and displacement the material responds. Furthermore, this article proposes Development Biology Patterns using Digital Image Technology (DBP-DIT) to cell image data in 2D, 3D, and time sequences. Engineered materials with high stiffness may now be characterized via digital image correlation. The proposed method of analyzing the mechanical characteristics of skin under various situations, such as one direction of stress and temperatures in the hundreds of degrees Celsius, is achievable using digital image correlation. A DBP-DIT approach to biological tissue modeling is based on digital image correlation (DIC) measurements to forecast the displacement field under unknown loading scenarios without presupposing a particular constitutive model form or owning knowledge of the material microstructure. A data-driven approach to modeling biological materials can be more successful than classical constitutive modeling if adequate data coverage and advice from partial physics constraints are available. The proposed procedures include a wide range of biological objectives, experimental designs, and laboratory preferences. The experimental results show that the proposed DBP-DIT achieves a high accuracy ratio of 99,3%, a sensitivity ratio of 98.7%, a specificity ratio of 98.6%, a probability index of 97.8%, a balanced classification ratio of 97.5%, and a low error rate of 38.6%.
Keyword ：
biology patterns biology patterns data-driven data-driven digital image correlation digital image correlation medicine medicine microscopes microscopes
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| GB/T 7714 | Ni, Shiwei , Chen, Fei , Chen, Guolong et al. Mathematical model and genomics construction of developmental biology patterns using digital image technology [J]. | FRONTIERS IN GENETICS , 2022 , 13 . |
| MLA | Ni, Shiwei et al. "Mathematical model and genomics construction of developmental biology patterns using digital image technology" . | FRONTIERS IN GENETICS 13 (2022) . |
| APA | Ni, Shiwei , Chen, Fei , Chen, Guolong , Yang, Yufeng . Mathematical model and genomics construction of developmental biology patterns using digital image technology . | FRONTIERS IN GENETICS , 2022 , 13 . |
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As timing delay becomes a critical issue in chip performance, there is a burning desire for IC design under smart manufacturing to optimize the delay. As the best connection model for multi-terminal nets, the wirelength and the maximum source-to-sink pathlength of the Steiner minimum tree are the decisive factors of timing delay for routing. In addition, considering that X-routing can get the utmost out of routing resources, this article proposes a Timing-Driven X-routing Steiner Minimum Tree (TD-XSMT) algorithm based on two-stage competitive particle swarm optimization. This work utilizes the multi-objective particle swarm optimization algorithm and redesigns its framework, thus improving its performance. First, a two-stage learning strategy is presented, which balances the exploration and exploitation capabilities of the particle by learning edge structures and pseudo-Steiner point choices. Especially in the second stage, a hybrid crossover strategy is designed to guarantee convergence quality. Second, the competition mechanism is adopted to select particle learning objects and enhance diversity. Finally, according to the characteristics of the discrete TD-XSMT problem, the mutation and crossover operators of the genetic algorithm are used to effectively discretize the proposed algorithm. Experimental results reveal that TSCPSO-TD-XSMT can obtain a smooth trade-off between wirelength and maximum source-to-sink pathlength, and achieve distinguished timing delay optimization. © 2022 Association for Computing Machinery.
Keyword ：
Economic and social effects Economic and social effects Genetic algorithms Genetic algorithms Integrated circuit design Integrated circuit design Integrated circuits Integrated circuits Multiobjective optimization Multiobjective optimization Particle swarm optimization (PSO) Particle swarm optimization (PSO) Timing circuits Timing circuits Trees (mathematics) Trees (mathematics)
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| GB/T 7714 | Liu, Genggeng , Zhou, Ruping , Xu, Saijuan et al. Two-Stage Competitive Particle Swarm Optimization Based Timing-Driven X-Routing for IC Design Under Smart Manufacturing [J]. | ACM Transactions on Management Information Systems , 2022 , 13 (4) . |
| MLA | Liu, Genggeng et al. "Two-Stage Competitive Particle Swarm Optimization Based Timing-Driven X-Routing for IC Design Under Smart Manufacturing" . | ACM Transactions on Management Information Systems 13 . 4 (2022) . |
| APA | Liu, Genggeng , Zhou, Ruping , Xu, Saijuan , Zhu, Yuhan , Guo, Wenzhong , Chen, Yeh-Cheng et al. Two-Stage Competitive Particle Swarm Optimization Based Timing-Driven X-Routing for IC Design Under Smart Manufacturing . | ACM Transactions on Management Information Systems , 2022 , 13 (4) . |
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