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学者姓名：陈国龙
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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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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 [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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As a key step in the physical design of very large scale integration， layer assignment plays a very important role in determining the delay of routing solution. At the same time，with the continuous progress of technical nodes， the density of the nets is increasing. Interconnect delay is an important factor to evaluate the performance of the routing results. In order to optimize the delay in integrated circuits， the existing layer assignment algorithms usually focus on minimizing interconnect delay and via count. However，the existing work either does not consider the assignment of the timing-critical segments in nets， or the time critical representation of wire segments is not reasonable， which ultimately makes the delay optimization not ideal. For this reason， this paper proposes a multi-strategy delay-driven layer assignment for non-default-rule wire technique，which mainly includes the following key strategies：（1）In order to avoid the local optimization of the nets，a track number aware layer selection strategy is proposed. This strategy enhances the ability of layer assigner to select suitable routing layers for wire segments so that it allows the layer with the largest number of remaining tracks to be given priority in the layer assignment to avoid overflow in the routing layer. （2）A multi-index driven initial net sorting strategy is proposed. This strategy fully considers the characteristics of different nets to determine the priority of nets，and comprehensively considers multiple indicators such as the wirelength，the number of sink points， and the resource of routing tracks to determine the priority of layer assignment for the network， so that the high-quality initial layer assignment results is obtained. （3）In order to further optimize the delay， a wire segment adjusting strategy is proposed. This strategy is adopted to optimize the delay of nets by re-assigning nets and assigning the timing-critical segments on upper layers. （4）A wire segment delay optimization strategy is proposed to optimize the delay of nets while eliminating overflow by ripping up and re-assigning the nets which have overflow. This strategy not only makes the final routing result not overflow，but also makes it have better delay. And the proposed algorithm is mainly composed of three stages. First， a better initial layer assignment result is obtained through the multi-index driven initial net sorting strategy. Then， the proposed algorithm adjusts the routing layer of the timing-critical segments through the wire segment adjusting strategy， and then eliminates the overflow while optimizing delay through the wire segment delay optimization strategy. Finally， under the condition of satisfying the congestion constraint， the proposed algorithm rips up and re-assigns the nets to select a better layer assignment result. In each stage， the track number aware layer selection strategy is used in the single net layer assignment so that the track resources of upper layers can be fully utilized. This paper uses the DAC12 benchmarks to verify the effectiveness of the related strategies and the proposed algorithm. The experimental results show that the proposed algorithm can achieve the best performance in both delay and via count among the existing algorithms without overflow. © 2023 Science Press. All rights reserved.
Keyword ：
delay delay layer assignment layer assignment timing-critical segments timing-critical segments very large scale integration very large scale integration via via
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| GB/T 7714 | Liu, G.-G. , Bao, C.-P. , Wang, X. et al. Multi-Strategy Delay-Driven Layer Assignment for Non-Default-Rule Wiring Techniques; [非默认规则线技术下基于多策略的时延驱动层分配算法] [J]. | Chinese Journal of Computers , 2023 , 46 (4) : 743-760 . |
| MLA | Liu, G.-G. et al. "Multi-Strategy Delay-Driven Layer Assignment for Non-Default-Rule Wiring Techniques; [非默认规则线技术下基于多策略的时延驱动层分配算法]" . | Chinese Journal of Computers 46 . 4 (2023) : 743-760 . |
| APA | Liu, G.-G. , Bao, C.-P. , Wang, X. , Guo, W.-Z. , Chen, G.-L. . Multi-Strategy Delay-Driven Layer Assignment for Non-Default-Rule Wiring Techniques; [非默认规则线技术下基于多策略的时延驱动层分配算法] . | Chinese Journal of Computers , 2023 , 46 (4) , 743-760 . |
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习近平同志在闽时期的教育论述是习近平总书记关于教育重要论述的构成与要义，为福建乃至全国教育改革创新发展提供了重要的思想理论支撑、实践推进依据。它所蕴含的丰富而深邃的政理、教理、事理，深刻诠释了“教育治理之道”。其中，为教育界熟悉的十八条命题，集中体现了习近平同志在闽时期教育论述的政理、教理、事理，展示了强大的创造力、生命力与解释力，揭示了其原创性理论与实践贡献。
Keyword ：
习近平在闽时期教育论述 习近平在闽时期教育论述 事理 事理 政理 政理 教理 教理
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| GB/T 7714 | 陈国龙 . 习近平在闽时期教育论述的政理、教理和事理 [J]. | 福州大学学报(哲学社会科学版) , 2023 , 37 (02) : 1-8,171 . |
| MLA | 陈国龙 . "习近平在闽时期教育论述的政理、教理和事理" . | 福州大学学报(哲学社会科学版) 37 . 02 (2023) : 1-8,171 . |
| APA | 陈国龙 . 习近平在闽时期教育论述的政理、教理和事理 . | 福州大学学报(哲学社会科学版) , 2023 , 37 (02) , 1-8,171 . |
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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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针对麻雀搜索算法面对具有强约束、非凸性和不可微特征的复杂问题所存在的开发与探索能力不平衡、易陷入局部最优、过早收敛和种群多样性较低等不足,提出一种求解复杂约束优化问题的多策略混合麻雀搜索算法.首先,利用反向学习策略构建双向初始化机制,以达到获得分布更优的初始种群的目的;其次,设计一种基于交叉与变异算子的位置更新公式,扩大搜索范围,丰富搜索机制,以平衡算法探索和开发能力,同时提高算法的收敛精度和速度;最后,使用社区学习策略对种群进行精炼,强化开发能力与跳出局部极值的能力,并保持种群的多样性.分别在CEC2017的28个实数约束优化问题和1个工程优化问题上进行了性能评估,实验结果表明,所提出的算法对比其他优化算法具有寻优能力强、收敛精度高、收敛速度快等优势,可有效解决复杂约束优化问题.
Keyword ：
CEC2017 CEC2017 多策略混合 多策略混合 工程优化 工程优化 测试函数 测试函数 约束优化问题 约束优化问题 麻雀搜索算法 麻雀搜索算法
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| GB/T 7714 | 刘耿耿 , 张丽媛 , 刘笛 et al. 求解复杂约束优化问题的多策略混合麻雀搜索算法 [J]. | 控制与决策 , 2023 , 38 (12) : 3336-3344 . |
| MLA | 刘耿耿 et al. "求解复杂约束优化问题的多策略混合麻雀搜索算法" . | 控制与决策 38 . 12 (2023) : 3336-3344 . |
| APA | 刘耿耿 , 张丽媛 , 刘笛 , 刘能现 , 傅仰耿 , 郭文忠 et al. 求解复杂约束优化问题的多策略混合麻雀搜索算法 . | 控制与决策 , 2023 , 38 (12) , 3336-3344 . |
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层分配作为超大规模集成电路物理设计中的关键环节,在决定布线方案的时延起到非常重要作用.为了优化集成电路的时延性能,现有的层分配工作通常注重优化互连时延和通孔数量,但要么未考虑到对线网中时序关键段的分配问题，要么对线网段的时序关键性的表示不够合理,最终使得算法的时延优化不够理想.为此,本文提出一种非默认规则线技术下基于多策略的时延驱动层分配算法,主要包含4种关键策略:(1)提出轨道数感知的层选择策略,增强层分配器为线网段选择合适布线层的能力;(2)提出多指标驱动的初始线网排序策略,综合考虑线长、信号接收器数和可布线轨道资源等多个指标为线网确定层分配优先级,从而获得高质量的初始层分配结果;(3)提出线网段调整策略,通过重绕线网,将时序关键段调整至上层布线层,优化线网时延;(4)提出线网段时延优化策略,对存在溢出线网进行拆线重绕,从而可同时优化时延和溢出数.实验结果表明,本文提出的算法相比于现有的层分配算法能够在时延和通孔数两个指标上均取得最佳,并且保证不产生溢出.
Keyword ：
层分配 层分配 时序关键段 时序关键段 时延 时延 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 , 鲍晨鹏 , 王鑫 et al. 非默认规则线技术下基于多策略的时延驱动层分配算法 [J]. | 计算机学报 , 2023 , 46 (04) : 743-760 . |
| MLA | 刘耿耿 et al. "非默认规则线技术下基于多策略的时延驱动层分配算法" . | 计算机学报 46 . 04 (2023) : 743-760 . |
| APA | 刘耿耿 , 鲍晨鹏 , 王鑫 , 郭文忠 , 陈国龙 . 非默认规则线技术下基于多策略的时延驱动层分配算法 . | 计算机学报 , 2023 , 46 (04) , 743-760 . |
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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 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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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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