山西省重点实验室评估政策研究

省重点实验室是地方科技创新平台的重要组成部分,发挥着为地方集聚人才、提升基础研究和应用基础研究能力的重要作用,重点实验室评估政策的制定和实施应以推动实验室提质增效、发挥科技创新平台效用为基础.在阐述实验室体系、评估意义及重点实验室定位、作用的基础上,结合国内外考核评估相关政策、山西省现有实验室建设情况,提出了山西省重点实验室评估政策的建议.     

De Casteljau Algorithm and Degree Elevation of Toric Surface Patches

De Casteljau algorithm and degree elevation of Bézier and NURBS curves/surfaces are two important techniques in computer aided geometric design. This paper presents the de Casteljau algorithm and degree elevation of toric surface patches, which include tensor product and triangular rational Bézier surfaces as special cases. Some representative examples of toric surface patches with common shapes are illustrated to verify these two algorithms. Moreover, the authors also apply the degree elevation of toric surface patches to isogeometric analysis. And two more examples show the effectiveness of proposed method.     

Cost and Service-Level-Based Model for a Seru Production System Formation Problem with Uncertain Demand

With increasing demand diversification and short product lifecycles, industries now encounter challenges of demand uncertainty. The Japanese seru production system has received increased attention owing to its high efficiency and flexibility. In this paper, the problem of seru production system formation under uncertain demand is researched. A multi-objective optimization model for a seru production system formation problem is developed to minimize the cost and maximize the service level of the system. The purpose of this paper is to formulate a robust production system that can respond efficiently to the stochastic demand. Sample average approximation (SAA) is used to approximate the expected objective of the stochastic programming. The non-dominated sorting genetic algorithm II (NSGA-II) is improved to solve the multi-objective optimization model. Numerical experiments are conducted to test the tradeoff between cost and service level, and how the performance of the seru production system varies with the number of product types, mean and deviation of product volume, and skill-level-based cost.     

溶剂型双组分重防腐涂料的制备及性能研究

采用可控阳离子聚合工艺制备含氟聚醚（fluoropolyether，FPO），并以此FPO为软段、二苯基甲烷二异氰酸酯（diphenyl methane diisocyannate，MDI）为硬段、三乙醇胺（triethanolamine，TEA）为扩链剂合成软硬段质量比为1：3的热固性含氟聚氨酯（thermosetting fluorined polyurethane，S-FPU）。进而将γ-氨丙基三乙氧基硅烷（γ-aminopropyl triethoxysilane，KH550）和MDI改性的凹凸棒土（palygorskite-KH550，AT-KH550和palygorskite-MDI，AT-MDI）引入S-FPU中获得两种新型的S-FPU/AT-KH550和S-FPU/AT-MDI。根据涂料配方的标准，选择合适的片层状填料、溶剂体系，分别制备了以S-FPU，S-FPU/AT-KH550和S-FPU/AT-MDI为基体树脂的溶剂型双组分重防腐涂料。对涂膜的耐腐蚀性能、耐老化性能、耐水性能及表面性能进行了研究。结果表明：在相同测试时间内，以复合材料为基体的涂膜（S-FPU/AT-KH550和S-FPU/AT-MDI）的耐电化学腐蚀性能更优，涂膜损坏程度低；水环境中涂膜能够对金属实现良好的保护，防止金属基材生锈，涂膜不起泡，不脱落，变色、失光现象不明显，其中S-FPU/AT-MDI涂膜的性能最好，涂膜表面疏水性更优。     

Attack and Defense Strategies in Complex Networks Based on Game Theory

To investigate the attack and defense strategies in complex networks, the authors propose a two-player zero-sum static game model with complete information which considers attack and defense strategies simultaneously. The authors assume that both the attacker and defender have two typical strategies: Targeted strategy and random strategy. The authors explore the Nash equilibriums of the attacker-defender game and demonstrate that when the attacker's attack resources are not so significantly abundant as the defender's resources, there exists a pure-strategy Nash equilibrium in both model networks and real-world networks, in which the defender protects the hub targets with large degrees preferentially, while the attacker prefers selecting the targets randomly. When the attack resources are much higher than defense resources, both the attacker and the defender adopt the targeted strategy in equilibriums. This paper provides a new theoretical framework for the study of attack and defense strategies in complex networks.     

融媒体环境下的受众计算:途径与挑战

融媒体改革是传统媒体应对传媒经济平台化和传媒平台智能化浪潮的一项重要措施.传统机构在融媒体环境中利用数据驱动的计算传播学方法“重新”认识受众、量化传播效果,既是时代的必然,又是时代的需要.本文论述融媒体环境中受众计算的“为什么”和“怎么做”问题,将受众分析分解为三个纵向数据维度(文本、网络和时空数据)和两个横向方法维度(统计分析和机器学习).最后,我们着重讨论融媒体受众计算所面临的困难和挑战,并提出可能的解决方案.     

尼莫地平对蛛网膜下腔出血大鼠脑功能的改善作用

目的探讨尼莫地平对SAH大鼠脑功能改善作用,并分析相关机制.方法采用枕大池二次注血法建立大鼠SAH模型,通过神经行为学评分,经颅多普勒超声检测基底动脉的平均血流速度,HE染色法观察脑形态学改变,脑含水量检测分析尼莫地平对SAH的治疗机制.结果与假手术组相比,SAH组大鼠出现明显的神经运动功能障碍体征,其神经行为学评分明显降低;与SAH组相比,尼莫地平组大鼠神经运动功能障碍体征明显减轻,神经行为评分明显高于SAH组.颅超声多普勒检测结果表明:SAH组大脑基底动脉血流速度明显加快,而经过尼莫地平治疗后,其血流速度明显降低;HE染色发现:SAH组大鼠脑中可见明显的出血灶,神经元数目减少,神经元及神经胶质出现肿胀,尼莫地平能够明显减轻SAH后的脑损伤;大鼠SAH时,脑水含量明显增加,尼莫地平既能减轻血管源性脑水肿症状,又减轻细胞毒性脑水肿症状.结论尼莫地平能改善神经运动功能障碍,其机制与降低基底动脉血流速度、减轻神经细胞、胶质细胞肿胀及减轻脑水肿有关.     

一种基于工作流网的游戏作弊检测系统

游戏作弊对网络游戏危害很大,目前反作弊技术的瓶颈是效率低并且过多依赖于签名匹配。提出一种高效且不依赖于签名匹配的游戏作弊检测系统,用工作流网对作弊行为建模,通过流程树对作弊行为模型进行融合,在不影响检测结果的前提下节省存储空间。用热门网游的作弊软件对系统进行实验,存储空间降低率达到约60%,证明了该系统框架是可行、有效的。     

复杂仿真系统重用模型可信度评估方法

在资源高度共享的今天,模型重用可增强仿真应用的灵活性和可扩展性,是复杂仿真系统构建的必然选择。然而,评估多模型组合仿真下的可信性是模型能否实现有效重用的基本问题。针对面向实物和面向数值解算两个不同应用环境的仿真模型重用,提出基于偏差传播的仿真重用模型可信度评估方法,详细介绍了各自建模方式及评估方法。以无人机复杂仿真系统为例,通过与经典可信度评估方法对比,说明了该方法可降低在重用模型可信度方面的评估难度,验证了方法的可行性。     

Efficient Feature Extraction Using Apache Spark for Network Behavior Anomaly Detection

Extracting and analyzing network traffic feature is fundamental in the design and implementation of network behavior anomaly detection methods. The traditional network traffic feature method focuses on the statistical features of traffic volume. However, this approach is not sufficient to reflect the communication pattern features. A different approach is required to detect anomalous behaviors that do not exhibit traffic volume changes,such as low-intensity anomalous behaviors caused by Denial of Service/Distributed Denial of Service(Do S/DDo S)attacks, Internet worms and scanning, and Bot Nets. We propose an efficient traffic feature extraction architecture based on our proposed approach, which combines the benefit of traffic volume features and network communication pattern features. This method can detect low-intensity anomalous network behaviors and conventional traffic volume anomalies. We implemented our approach on Spark Streaming and validated our feature set using labelled real-world dataset collected from the Sichuan University campus network. Our results demonstrate that the traffic feature extraction approach is efficient in detecting both traffic variations and communication structure changes.Based on our evaluation of the MIT-DRAPA dataset, the same detection approach utilizes traffic volume features with detection precision of 82.3% and communication pattern features with detection precision of 89.9%. Our proposed feature set improves precision by 94%.