中国科技期刊“走出去”路径探析——以航空航天科技期刊为例     

张彤  蔡斐  周宇 《编辑学报》2019,31(3):242-245

深化改革培育世界一流科技期刊是当前的紧迫任务,要求科技期刊“走出去”,在世界舞台与国际科技期刊同台竞争。为探索中国科技期刊“走出去”路径,以航空航天科技期刊为例,介绍当前该类期刊“走出去”现状,指出存在的问题,并分别从中英文刊的不同角度出发,阐述航空航天学术期刊“走出去”的可行路径,同时辅以案例分析,验证所提路径的有效性。强调“走出去”需要强化保护版权意识。这为探讨中国科技期刊如何“走出去”提供有益参考。  相似文献   

Ranking scientific articles based on bibliometric networks with a weighting scheme     

Yu Zhang  Min Wang  Florian Gottwalt  Morteza Saberi  Elizabeth Chang 《Journal of Informetrics》2019,13(2):616-634

As the volume of scientific articles has grown rapidly over the last decades, evaluating their impact becomes critical for tracing valuable and significant research output. Many studies have proposed various ranking methods to estimate the prestige of academic papers using bibliometric methods. However, the weight of the links in bibliometric networks has been rarely considered for article ranking in existing literature. Such incomplete investigation in bibliometric methods could lead to biased ranking results. Therefore, a novel scientific article ranking algorithm, W-Rank, is introduced in this study proposing a weighting scheme. The scheme assigns weight to the links of citation network and authorship network by measuring citation relevance and author contribution. Combining the weighted bibliometric networks and a propagation algorithm, W-Rank is able to obtain article ranking results that are more reasonable than existing PageRank-based methods. Experiments are conducted on both arXiv hep-th and Microsoft Academic Graph datasets to verify the W-Rank and compare it with three renowned article ranking algorithms. Experimental results prove that the proposed weighting scheme assists the W-Rank in obtaining ranking results of higher accuracy and, in certain perspectives, outperforming the other algorithms.  相似文献   

How does collaboration affect researchers’ positions in co-authorship networks?     

Xiangjie Kong  Mengyi Mao  Huizhen Jiang  Shuo Yu  Liangtian Wan 《Journal of Informetrics》2019,13(3):887-900

Collaboration usually has a positive effect on researchers’ productivity: researchers have become increasingly collaborative, according to recent studies. Numerous studies have focused on enhancing research collaboration by recommendation technology and measuring the influence of researchers. However, few studies have investigated the effect of collaboration on the position of a researcher in the research social network. In this paper, we explore the relationships between collaboration and influence by social analytical methods, which are pertinent to analyzing the network structure and individual traits. We evaluate three aspects of the researchers’ influence: friendship paradox validation, social circle, and structure of a researcher's ego network. Furthermore, the ”six degrees of Bacon number” theory, generalized friendship paradox, and triadic closure theory are introduced to support our analysis. Experimental results show that collaboration can help researchers increase their influence to some extent.  相似文献   

一种改进的空域图像信息隐藏算法     

彭金虎  玉振明  谢晴 《梧州学院学报》2011,21(2):78-82

基于可逆矩阵乘法,提出了一种基于LSB的空域图像信息隐藏算法。与基于Arnold置乱的算法相比,本文算法的时间和空间复杂度较低,且有较强的抗攻击能力。  相似文献   

四川盆地南缘五峰-龙马溪组海相页岩压缩变形试验与破裂模式研究     

徐添阳  琚宜文  黄骋  戚宇  朱洪建 《中国科学院大学学报》2018,35(4):561-568

页岩气勘探开发的关键是通过储层压裂技术形成大规模的裂隙网络,评价页岩储层可改造性是储层压裂技术的基础,岩石力学和变形特性与储层可改造性关系密切。在四川盆地南缘五峰-龙马溪组海相页岩宏微观特征观测的基础上,通过页岩单轴压缩变形试验,获得其岩石力学参数,结合所得应力-应变曲线及破裂形态分析,结果表明：页岩抗压强度和杨氏模量相对偏低、脆性特征显著;页岩具有单斜面剪切破裂及劈裂式破裂两种模式,其破裂模式决定于页岩层理和加载方向;页岩岩石力学性质与破裂模式受诸多因素影响,非均质性是其中最重要的影响因素。  相似文献   

Globally exponentially stable single beacon underwater navigation with unknown sound velocity estimation     

Xiang Yu  Hong-De Qin  Zhong-Ben Zhu 《Journal of The Franklin Institute》2021,358(4):2515-2534

Single beacon navigation methods with unknown effective sound velocity (ESV) have recently been proposed to solve the performance degeneration induced by ESV setting error. In these methods, a local linearization-based state estimator, which only exhibits local convergence, is adopted to estimate the navigation state. When the initial ESV setting error or vehicle initial position error is large, the local linearization-based state estimators have difficulty guaranteeing the filtering convergence. With this background, this paper proposes a linear time-varying single beacon navigation model with an unknown ESV that can realize global convergence under the condition of system observability. A Kalman filter is adopted to estimate the model state, and the corresponding stochastic model is inferred for the application of the Kalman filter. Numerical simulation confirms that the proposed linear time-varying single beacon navigation model can realize fast convergence in the case of a large initial error, and has superior steady-state performance compared with the existing methods.  相似文献   

Mean-square integral input-to-state stability of nonlinear impulsive semi-Markov jump delay systems     

Yu Lin  Yu Zhang  Anthony Bloch 《Journal of The Franklin Institute》2021,358(4):2453-2481

In this paper, the problem of mean-square integral input-to-state stability of nonlinear impulsive semi-Markov jump delay systems is investigated. By using stochastic Lyapunov functions together with Razumikhin technique, some sufficient conditions for mean-square integral input-to-state stability for a class of nonlinear impulsive semi-Markov jump delay systems are developed. In particular, the results obtained generalize and complement some recent literature. Finally, some numerical examples are given to show the effectiveness and advantages of the proposed techniques.  相似文献   

Discrete-time command filtered adaptive fuzzy fault-tolerant control for induction motors with unknown load disturbances     

Qixin Lei  Jinpeng Yu  Qing-guo Wang 《Journal of The Franklin Institute》2021,358(5):2765-2779

In this paper, a command filtered fault-tolerant control (CFFTC) approach is investigated for induction motors (IMs) discrete-time system in the presence of actuator faults and unknown load disturbances. Firstly, the IMs system discrete-time model is obtained by Euler method. Then, the fuzzy logic systems (FLSs) is utilized to compensate for unknown actuator faults. Besides, introducing the error compensation mechanism into discrete-time systems via command filters, “complexity of computation” and noncausal problem can be conquered, and the filtering error is avoided concurrently. Finally, simulation results demonstrate the validity of the presented fault-tolerant method for IMs system.  相似文献   

Partial-state feedback adaptive stabilization for a class of nonlinear systems with uncertainties     

Yan Zhao  Jiangbo Yu 《Journal of The Franklin Institute》2021,358(9):4807-4821

This paper studies the adaptive asymptotically stabilizing control problem for a class of uncertain nonlinear systems by the partial-state feedback. The input-to-state stability (ISS) is used to describe the dynamic uncertainties, and a novel Nussbaum function is resorted to counteract the unknown identical control directions. The damping terms with the estimates of unknown disturbance bounds are inserted in control design to handle the nonvanishing external disturbances. It can be seen that all signals in closed-loop are bounded and the system states converge to zero asymptotically in spite of the uncertainties. Finally, a simulation example is introduced to show the effectiveness of the presented control scheme.  相似文献   

Adaptive fuzzy output feedback fault-tolerant tracking control of switched uncertain nonlinear systems with sensor faults     

Yu Xiong  Yifei Wu  Shi Li  Zhengrong Xiang 《Journal of The Franklin Institute》2021,358(11):5771-5794

This paper investigates the adaptive fuzzy output feedback fault-tolerant tracking control problem for a class of switched uncertain nonlinear systems with unknown sensor faults. In this paper, since the sensor may suffer from an unknown constant loss scaling failure, only actual output can be used for feedback design. A failure factor is employed to represent the loss of effectiveness faults. Then, an adaptive estimation coefficient is introduced to estimate the failure factor, and a state observer based on the actual output is constructed to estimate the system states. Fuzzy logic systems are used to approximate the unknown nonlinear functions. Based on the Lyapunov function method and the backstepping technique, the proposed control scheme with average dwell time constraints can guarantee that all states of the closed-loop system are bounded and the tracking error can converge to a small neighborhood of zero. Finally, two simulation examples are given to illustrate the effectiveness of the proposed scheme.  相似文献