An Integrated Modelling Approach for Flood Simulation in the Urbanized Qinhuai River Basin,China

Water Resources Management - The accurate simulation and prediction of flood response in urbanized basins remains a great challenge due to the spatial and temporal heterogeneities in land surface...     

计算机病毒的感染原理及其危害与防范

计算机病毒的感染、木马、以及黑客的入侵等,给计算机带来了不同程度的损害.本文阐述了计算机病毒的特性、感染原理,以及它对网络与信息安全的危害,提出了计算机病毒的相关防范措施.     

渝鄂柔性直流输电系统中高频振荡影响因素及抑制策略

针对柔性直流输电工程中出现的中高频振荡问题,现有解决方法是在电压前馈通道中增设滤波器以抑制高频振荡,但增加了中频振荡的风险。以渝鄂柔直工程南通道单元为研究对象,提出了一种通过调整控制链路延时以避免中、高频振荡的方法。首先,基于多谐波线性化原理建立了MMC换流站阻抗模型,详细分析控制链路延时、电网电压前馈策略对MMC换流站阻抗特性以及对系统稳定性的影响;然后,探讨通过调整控制链路延时以避免中高频振荡的可行性,并给出了控制链路延时的选择方法;最后,通过PSCAD/EMTDC电磁暂态仿真验证了所提方法可实现渝侧、鄂侧系统中高频振荡抑制,同时对系统动态特性影响较小。     

大连港服役50年混凝土的力学性能与耐久性

本文分别研究了大连港服役11年和50年的某码头大气区、浪贱区和潮汐区混凝土的外观破坏情况和物理力学性能,测定了不同深度混凝土的氯离子含量分布以及混凝土电阻率和RCM氯离子扩散系数(DRCM)等耐久性参数,探讨了部分耐久性参数之间的相关关系。结果表明,两个年代海洋码头的潮汐区混凝土都存在剥落现象,其中服役50年码头的大气区和浪溅区混凝土还存在裂缝现象。综合文献数据研究发现,海洋混凝土结构的表面自由氯离子含量随着暴露时间的延长呈指数函数或幂函数的增长关系,且服役早期增长较快,服役后期增长速度减缓。海洋混凝土结构的表观氯离子扩散系数随暴露时间的延长呈现经典的幂函数衰减关系。     

以创新创业能力培养为核心的计算机专业实践课程教学改革

分析计算机科学与技术的教育现状,提出"面向行业、能力为先、课程分群、评价多样"的应用型人才培养思路,构建"学业规划课程平台—专业能力课程平台—行业素质课程平台"课程体系和学业评价体系,对地方本科院校的应用型人才培养具有借鉴和推广价值。     

CANOpen协议在双模冗余网络管理中的应用研究

CANOpen协议是基于CAN总线的高层协议,具有可靠性强、通信效率高、灵活性、兼容性等优点,广泛应用于工业控制的各个领域。冗余控制作为一种能够满足连续生产要求、提高系统可靠性的有效手段而被普遍采纳。因此,两者的结合具有较强的理论意义与实用价值。以此为切入点,提出了一套应用CANOpen协议管理冗余网络的机制。     

基于热电制冷的高性能温控系统设计

设计一种基于热电制冷器(TEC)的温度控制系统;介绍了实际的温度控制电路及测温电路,并优化了热电制冷器的驱动电路;运用PID增量型控制算法,实现了VO2薄膜的自动恒温;根据科恩-库恩(cohn-Coon)公式,对温控系统建模,系统地分析了控制算法和工作电流对温控的影响;经反复测试表明,该系统能够快速,准确地实现恒温,且低成本、集成度高、稳定性好、可扩展性强,具有一定的应用价值.     

The properties of lattice-shifted microcavity in photonic crystal slab and its applications for electro-optical sensor

In this paper, a micro electro-optic sensor structure and its sensing technique based on lattice-shifted resonant microcavity (H0-nanocavity) in a triangular lattice photonic crystals (PhCs) slab are presented. The H0-nanocavity is formed by only laterally shifting two adjacent holes outwards slightly in the opposite direction, which can realize a nanocavity with high quality factor (Q) value to meet the requirements of practical application. The electro-optic sensor is realized in hole-array based photonic crystal slab with triangular lattice air holes infiltrated with a nonlinear optical (NLO) polymer (n_poly = 1.6) in Silicon-on-Insulator (SOI) operating in the wavelength range from 1400 nm to 1600 nm. The simulation results of PhC electro-sensitive structure show that the optical properties of PhCs can be used to design sensing devices characterized by a high degree of compactness and good resolution. The properties of the sensor are analyzed and calculated using the plane-wave expansion (PWE) method and simulated using the finite-difference time-domain (FDTD) method. The simulation results display that the resonant wavelength of the mode localized in the microcavity shifts its spectral drop position following a linear behavior when a driving voltage ranging between 0.0 V and 3.2 V is applied, and the sensitivity of 31.90 nm/V is observed.     

汽车电动助力转向器的控制器研制

研究了日本N4样机的电动助力转向系统的电机电流-输入扭矩特性.采用ATmega16L单片机为处理器,以直流有刷电机为执行器,应用PID补偿算法,设计了电动助力转向控制器.在试验台上进行了电机电流-输入扭矩特性试验,试验结果表明,该控制器的助力曲线接近日本N4样机,能取得比较满意的助力效果.     

Reliable representations for association rules

Association rule mining has contributed to many advances in the area of knowledge discovery. However, the quality of the discovered association rules is a big concern and has drawn more and more attention recently. One problem with the quality of the discovered association rules is the huge size of the extracted rule set. Often for a dataset, a huge number of rules can be extracted, but many of them can be redundant to other rules and thus useless in practice. Mining non-redundant rules is a promising approach to solve this problem. In this paper, we first propose a definition for redundancy, then propose a concise representation, called a Reliable basis, for representing non-redundant association rules. The Reliable basis contains a set of non-redundant rules which are derived using frequent closed itemsets and their generators instead of using frequent itemsets that are usually used by traditional association rule mining approaches. An important contribution of this paper is that we propose to use the certainty factor as the criterion to measure the strength of the discovered association rules. Using this criterion, we can ensure the elimination of as many redundant rules as possible without reducing the inference capacity of the remaining extracted non-redundant rules. We prove that the redundancy elimination, based on the proposed Reliable basis, does not reduce the strength of belief in the extracted rules. We also prove that all association rules, their supports and confidences, can be retrieved from the Reliable basis without accessing the dataset. Therefore the Reliable basis is a lossless representation of association rules. Experimental results show that the proposed Reliable basis can significantly reduce the number of extracted rules. We also conduct experiments on the application of association rules to the area of product recommendation. The experimental results show that the non-redundant association rules extracted using the proposed method retain the same inference capacity as the entire rule set. This result indicates that using non-redundant rules only is sufficient to solve real problems needless using the entire rule set.