Analysis for gene networks based on logic relationships

The reverse construction and analysis of the networks of molecular interactions are essential for understanding their functions within cells. In this paper, a logic network model is constructed to investigate the complicated regulation mechanism of shoot genes of Arabidopsis Thaliana in response to stimuli. The dynamics of the complicated logic network is analyzed, discussed, and simulated. The simulation results show that the logic network of the active genes of shoot eventually evolves into eleven attractors under the stimuli, including five 1-periodic and six 2-periodic attractors. Our work provides valuable reference and guidance for biologists to understand and explain Arabidopsis’ response to external stimuli by experiments.     

New results on the robust stability analysis of neural networks with discrete and distributed time delays

Delay-dependent robust stability of cellular neural networks with time-varying discrete and distributed time-varying delays is considered. Based on Lyapunov stability theory and the linear matrix inequality （LMIs） technique, delay-dependent stability criteria are derived in terms of LMIs avoiding bounding certain cross terms, which often leads to conservatism. The effectiveness of the proposed stability criteria and the improvement over the existing results are illustrated in the numerical examples.     

Analysis on Influential Factors of Corporate Environmental Management Level Based on ISM

Environmental problem is one of complicated social problems. According to the level of corporate environmental management, there are many influential factors, and their relations are also complicated. In this paper, we analyzed influential factors of corporate environmental management through consultation of experts. And based on the analysis, we applied interpretative structural modeling（ISM） to classify 13 influential factors into 3 levels. We hope it will be useful for the subsequent research and evaluation of corporate environmental management level.     

Tracking controller for robot manipulators via composite nonlinear feedback law

A composite nonlinear feedback tracking controller for motion control of robot manipulators is de-scribed. The structure of the controller is composed of a composite nonlinear feedback law plus full robot nonlinear dynamics compensation. The stability is carried out in the presence of friction. The controller takes advantage of varying damping ratios induced by the composite nonlinear feedback control, so the transient performance of the closed-loop is remarkably improved. Simulation results demonstrate the feasibility of the proposed method.     

国际油价冲击对汇率体系稳定性影响的研究综述与展望

油价冲击对汇率体系稳定性的影响是国际金融领域研究的重要课题,本文系统梳理和评价了国际汇率制度中间化倾向发展对油价冲击传导的非对称性和传导强度差异化影响的文献,市场风险的信息传导和汇率波动非线性化现象研究的最新成果. 在文献研究基础上,本文指出油价冲击对汇率体系稳定性影响的未来研究的突破口是：不同汇率制度安排缓冲油价冲击的内在规律、 油价冲击影响汇率的传导模式和强度、油价冲击和汇率的非线性研究范式.     

Feature network-driven quadrant mapping for summarizing customer reviews

With the rapid growth of e-commerce, customers increasingly write online reviews of the product they purchase. These customer reviews are one of the most valuable sources of information affecting selection of products or services. Summarizing these customer reviews is becoming an interesting area of research, inspiring researchers to develop a more condensed, concise summarization for users. However, most of the current efforts at summarization are based on general product features without feature’s relationship. As a result, these summaries either ignore feedback from customers or do a poor job of reflecting the opinions expressed in customer reviews. To remedy this summarization shortcoming, we propose a feature network-driven quadrant mapping that captures and incorporates opinions from customer reviews. Our focus is on construction of a feature network, which is based on co-occurrence and sematic similarities, and a quadrant display showing the opinions polarity of feature groups. Moreover, the proposed approach involves clustering similar product features, and thus, it is different from standard text summarization based on abstraction and extraction. The summarized results can help customers better understand the overall opinions about a product.     

集成人机交互仿真系统研制与应用

基于虚拟现实技术和人机工程学原理,综合应用多通道宽屏投影拼接、光学运动跟踪和数据手套手势跟踪、Vega和Creator等许多虚拟现实软、硬件技术,构造出一个可供人与计算机中的虚拟操控系统进行实时交互的虚拟仿真环境,可对人机交互绩效进行动态、客观的测量,继而评价操控面板系统的设计质量,亦可用于各类二维操控面板的操作培训。初步实验结果验证了系统的可行性。     

面向物联网的语义空间资源索引构建及其查询优化算法

面对物联网中的海量空间资源,在空间资源索引的构建中引入语义分类的方法,使得传统的IR树具备语义特征,支持用户对资源的语义查询,并提出一种top-k语义查询优化算法,通过对实际数据的使用和实验分析,得出索引结构的有效性和查询结果的正确性,从索引构建时间、查询时间和查询准确率3个指标来评估算法的性能,实验结果表明,算法支持语义空间资源索引构建,并且查询性能好,准确率高。     

Opportunistic spectrum sharing in software defined wireless network

Over the past few decades, the world has witnessed a rapid growth in mobile and wireless networks（MWNs） which significantly change human life. However, proliferating mobile demands lead to several intractable challenges that MWN has to face. Software-defined network is expected as a promising way for future network and has captured growing attention. Network virtualization is an essential feature in software-defined wireless network（SDWN）, and it brings two new entities, physical networks and virtual networks. Accordingly, efficiently assigning spectrum resource to virtual networks is one of the fundamental problems in SDWN. Directly orienting towards the spectrum resource allocation problem, firstly, the fluctuation features of virtual network requirements in SDWN are researched, and the opportunistic spectrum sharing method is introduced to SDWN. Then, the problem is proved as NP-hardness. After that, a dynamic programming and graph theory based spectrum sharing algorithm is proposed.Simulations demonstrate that the opportunistic spectrum sharing method conspicuously improves the system performance up to around 20%–30% in SDWN, and the proposed algorithm achieves more efficient performance.     

含两参数的三阶非线性常微分方程Robin边值问题的奇摄动（Ⅰ）

研究含两参数的三阶非线性常微分方程Robin边值问题的奇摄动，在适当的条件下讨论了当（ε/μ^2)→0（μ→0）时解的存在性并获得其一致有效的渐近估计。