建党百年广东省科技创新事业迈向新征程

与中国共产党的百年发展历程相伴的是国家科学技术的快速发展.广东省作为国家社会与经济发展的前沿阵地,其科学创新的发展经验能够代表国家在改革浪潮中的发展变化.尤其是改革开放伟大征程的开启以及粤港澳大湾区规划的提出,促进了广东省科技创新事业的快速发展.广东省目前已成为国际科技创新的重要发生地,甚至在一些科技创新领域领先全球.文章通过回顾改革开放40多年来广东省科技创新取得的伟大成就,从政策、人才培养与引进、制度创新与科创平台建设、企业发展等领域分析广东省科技创新发展的特征、优势以及独特的做法,以期为我国科技创新的发展提供借鉴.     

打造新时代创新策源地——以湖北科技特派员制度为例

湖北省多年来深入推行科技特派员制度,在全国科技特派员制度推行和科技服务的伟大实践中拼搏奋进,从启动科技特派员地市试点工作,到全面开展科技特派员基层创业行动,从出台深入推行科技特派员制度实施意见,到开展湖北省科技特派员"百县千镇万人"工程实施,围绕产业链布局人才链的科技生态日臻完善.科技特派员个人、团队和法人单位点面结合,工作室与工作站交相辉映,他们立足湖北服务华中片区和秦巴山区,辐射服务全国各地,湖北科技特派员的服务足迹遍布荆楚星辰大地,谱写着新时代湖北科技特派员服务体系的新篇章.     

云计算视角下可验证计算的分析研究

云计算能否在未来的各个领域中被广泛运用,决定因素在于其可信度。可验证计算在检测云计算结果的可信度方面具有其独特优势。利用可验证计算协议可验证云服务器端所返回的数据是否正确,它成为实现云计算可信度的重要保障。文中在阐述可验证计算基本内容和相关设计原则的基础上,分析了可验证计算协议的一般流程、设计原则及计算模型,并结合基于交互系统的可验证计算协议分析,探讨在云计算视角下可验证计算的研究展望。     

时标轴上二阶Dirichlet边值问题的弱解（英文）

采用变分方法和临界点理论研究一个时标轴上二阶Dirichlet边值问题弱解的存在性.     

关于二面体群的共轭类长素图

讨论二面体群的结构问题,利用GAP软件给出二面体群D2n的共轭类长素图,并完整给出当n以及n/2分别是奇数和偶数时的共轭类长素图情况.     

A Layer-Stripping Method for 3D Near-Surface Velocity Model Building Using Seismic First-Arrival Times

In order to improve the efficiency of 3D near-surface velocity model building, we develop a layer-stripping method using seismic first-arrival times. The velocity model within a Common Mid-Point (CMP) ...     

An Economic Model-Based Matching Approach Between Buyers and Sellers Through a Broker in an Open E-Marketplace

A broker in an open e-marketplace enables buyers and sellers to do business with each other. Although a broker plays an important role in e-marketplaces, theory and guidelines for matching between buyers and sellers in multi-attribute exchanges are limited. Therefore, a challenge for a broker’s responsibility is how to maximize a buyer’s total satisfaction degree as its goals under the consideration of trade-off between a buyer’s buying quantity and price paid to a seller, and other attributes. To solve this challenge, this paper proposes an economic model-based matching approach between a buyer’s requirements and a seller’s offers. The major contributions of this paper are that (i) a broker can model a seller’s price policy as per a buyer’s buying quantity through communication between a broker and a seller; (ii) due to each buyer’s different quantity demand, a broker models a buyer’s satisfaction degree as per a buyer’s buying quantity based on communication between a broker and a buyer; and (iii) to carry out a broker’s matching processes, an objective function and a set of constraints are generated to help a broker to maximize a buyer’s total satisfaction degree. Experimental results demonstrate the good performance of the proposed approach.     

Hierarchical Community Detection Based on Partial Matrix Convergence Using Random Walks

Random walks are a standard tool for modeling the spreading process in social and biological systems.But in the face of large-scale networks,to achieve convergence,iterative calculation of the transition matrix in random walk methods consumes a lot of time.In this paper,we propose a three-stage hierarchical community detection algorithm based on Partial Matrix Approximation Convergence(PMAC) using random walks.First,this algorithm identifies the initial core nodes in a network by classical measurement and then utilizes the error function of the partial transition matrix convergence of the core nodes to determine the number of random walks steps.As such,the PMAC of the core nodes replaces the final convergence of all the nodes in the whole matrix.Finally,based on the approximation convergence transition matrix,we cluster the communities around core nodes and use a closeness index to merge two communities.By recursively repeating the process,a dendrogram of the communities is eventually constructed.We validated the performance of the PMAC by comparing its results with those of two representative methods for three real-world networks with different scales.     

Fuzzy Views on Black-Litterman Portfolio Selection Model

In this paper, views of investor are described in fuzzy sets, and two fuzzy Black-Litterman models are constructed with fuzzy views and fuzzy random views respectively. In the models, expected returns and uncertainty matrix of views are redefined and the views are formulated by fuzzy approaches suitably. Then the models are tested with data from Chinese financial markets. Empirical results show that the fuzzy random views model performs the best, and both the fuzzy models are better than the traditional ones, demonstrating that the fuzzy approaches can contain more information in the views and measure the uncertainty more correctly.     

Speeding Up the GVW Algorithm via a Substituting Method

Journal of Systems Science and Complexity - The GVW algorithm is an efficient signature-based algorithm for computing Gröbner bases. In this paper, the authors consider the implementation of...