ZnO中H导致的缺陷态的局域振动模式研究

利用全势缀加平面波加局域轨道(APW+lo)的方法，对ZnO中H导致的几种缺陷态进行了研究，从计算的缺陷形成能来看，缺陷态最可能占据BC∥局域结构位置.但通过缺陷态的局域振动模式(LVMs)的理论计算与红外吸收(IR)实验结果的比较，我们认为：ZnO中H导致的缺陷态可以占据BC∥和ABo∥两种局域结构位置. 关键词： ZnO APW+lo 缺陷态 局域振动模式     

A Visual Fault Detection Method for Induction Motors Based on a Zero-Sequence Current and an Improved Symmetrized Dot Pattern

Motor faults, especially mechanical faults, reflect eminently faint characteristic amplitudes in the stator current. In order to solve the issue of the motor current lacking effective and direct signal representation, this paper introduces a visual fault detection method for an induction motor based on zero-sequence current and an improved symmetric dot matrix pattern. Empirical mode decomposition (EMD) is used to eliminate the power frequency in the zero-sequence current derived from the original signal. A local symmetrized dot pattern (LSDP) method is proposed to solve the adaptive problem of classical symmetric lattice patterns with outliers. The LSDP approach maps the zero-sequence current to the ultimate coordinate and obtains a more intuitive two-dimensional image representation than the time–frequency image. Kernel density estimation (KDE) is used to complete the information about the density distribution of the image further to enhance the visual difference between the normal and fault samples. This method mines fault features in the current signals, which avoids the need to deploy additional sensors to collect vibration signals. The test results show that the fault detection accuracy of the LSDP can reach 96.85%, indicating that two-dimensional image representation can be effectively applied to current-based motor fault detection.     

PDF方法模拟钝体驻定的湍流扩散火焰

采用标量联合的概率密度函数方法,对钝体驻定的湍流射流扩散Sydney火焰HM1进行数值模拟,结合当地自适应建表方法加速化学反应计算,用修正的LRR-IP雷诺应力模型求解速度场.首次对3种不同规模的甲烷化学反应动力学机理进行研究,并与实验数据进行比较,结果表明,模型和反应机理很好地预测了速度场和标量场的变化及局部熄火现象,而考虑反应机理中的C2化学对火焰HM1的影响不大.     

Heat Transfer Analysis between R744 and HFOs inside Plate Heat Exchangers

Plate heat exchangers (PHE) are used for a wide range of applications, thus utilizing new and unique heat sources is of crucial importance. R744 has a low critical temperature, which makes its thermophysical properties variation smoother than other supercritical fluids. As a result, it can be used as a reliable hot stream for PHE, particularly at high temperatures. The local design approach was constructed via MATLAB integrated with the NIST database for real gases. Recently produced HFOs (R1234yf, R1234ze(E), R1234ze(Z), and R1233zd(E)) were utilized as cold fluids flowing through three phases: Liquid-phase, two-phase, and gas-phase. A two-step study was performed to examine the following parameters: Heat transfer coefficients, pressure drop, and effectiveness. In the first step, these parameters were analyzed with a variable number of plates to determine a suitable number for the next step. Then, the effects of hot stream pressure and cold stream superheating difference were investigated with variable cold channel mass fluxes. For the first step, the results showed insignificant differences in the investigated parameters for the number of plates higher than 40. Meanwhile, the second step showed that increasing the hot stream pressure from 10 to 12 MPa enhanced the two-phase convection coefficients by 17%, 23%, 75%, and 50% for R1234yf, R1234ze(E), R1234ze(Z), and R1233zd(E), respectively. In contrast, increasing the cold stream superheating temperature difference from 5 K to 20 reduced the two-phase convection coefficients by 14%, 16%, 53%, and 26% for R1234yf, R1234ze(E), R1234ze(Z), and R1233zd(E), respectively. Therefore, the R744 is suitable for PHE as a driving heat source, particularly at higher R744 inlet pressure and low cold stream superheating difference.     

A Fast and Efficient Ensemble Transfer Entropy and Applications in Neural Signals

The ensemble transfer entropy (TEensemble) refers to the transfer entropy estimated from an ensemble of realizations. Due to its time-resolved analysis, it is adapted to analyze the dynamic interaction between brain regions. However, in the traditional TEensemble, multiple sets of surrogate data should be used to construct the null hypothesis distribution, which dramatically increases the computational complexity. To reduce the computational cost, a fast, efficient TEensemble with a simple statistical test method is proposed here, in which just one set of surrogate data is involved. To validate the improved efficiency, the simulated neural signals are used to compare the characteristics of the novel TEensemble with those of the traditional TEensemble. The results show that the time consumption is reduced by two or three magnitudes in the novel TEensemble. Importantly, the proposed TEensemble could accurately track the dynamic interaction process and detect the strength and the direction of interaction robustly even in the presence of moderate noises. The novel TEensemble reaches its steady state with the increased samples, which is slower than the traditional method. Furthermore, the effectiveness of the novel TEensemble was verified in the actual neural signals. Accordingly, the TEensemble proposed in this work may provide a suitable way to investigate the dynamic interactions between brain regions.     

基于大学物理实验第二层次教学的学生创新能力培养探讨

从第二层次大学物理实验教学、全国大学生物理学术竞赛和大学生创新能力培养之间关系的角度,分析了大学物理实验第二层次教学和大学生物理学术竞赛中存在的学生能力培养不足的问题.提出了在大学物理第二层次实验教学中,通过深挖学生创新能力培养的内涵,并与全国大学生物理学术竞赛成果相融合来提高学生创新能力培养的途径.     

量纲分析在大学物理热力学部分中的教学应用

本文首先简单介绍了量纲分析中的齐次定理和∏定理,然后具体例举了量纲分析在大学物理热力学部分的教学应用.我们的求解过程是:分析例举可能相关的物理量;写出各个物理量的量纲表;分析量纲表,确定相关的物理量和独立量纲;设定无量纲量等式;列出量纲指数方程组并求解.     

Design and Implementation of a New Local Alignment Algorithm for Multilayer Networks

Network alignment (NA) is a popular research field that aims to develop algorithms for comparing networks. Applications of network alignment span many fields, from biology to social network analysis. NA comes in two forms: global network alignment (GNA), which aims to find a global similarity, and LNA, which aims to find local regions of similarity. Recently, there has been an increasing interest in introducing complex network models such as multilayer networks. Multilayer networks are common in many application scenarios, such as modelling of relations among people in a social network or representing the interplay of different molecules in a cell or different cells in the brain. Consequently, the need to introduce algorithms for the comparison of such multilayer networks, i.e., local network alignment, arises. Existing algorithms for LNA do not perform well on multilayer networks since they cannot consider inter-layer edges. Thus, we propose local alignment of multilayer networks (MultiLoAl), a novel algorithm for the local alignment of multilayer networks. We define the local alignment of multilayer networks and propose a heuristic for solving it. We present an extensive assessment indicating the strength of the algorithm. Furthermore, we implemented a synthetic multilayer network generator to build the data for the algorithm’s evaluation.     

基于Web的科技类学报传播管理实证研究

结合高校科技类学报的综合性和机构的特点,搭建了基于Web的科技类学报传播管理结构,剖析了传播管理过程中各环节的关键因素以及对编辑素质的基本要求,并进一步提出了科技类学报传播管理网络组建技术的集成策略和管理应注意的问题,有益于促进科技类学报传播的技术进步．     

Initial Solution Generation and Diversified Variable Picking in Local Search for (Weighted) Partial MaxSAT

The (weighted) partial maximum satisfiability ((W)PMS) problem is an important generalization of the classic problem of propositional (Boolean) satisfiability with a wide range of real-world applications. In this paper, we propose an initialization and a diversification strategy to improve local search for the (W)PMS problem. Our initialization strategy is based on a novel definition of variables’ structural entropy, and it aims to generate a solution that is close to a high-quality feasible one. Then, our diversification strategy picks a variable in two possible ways, depending on a parameter: continuing to pick variables with the best benefits or focusing on a clause with the greatest penalty and then selecting variables probabilistically. Based on these strategies, we developed a local search solver dubbed ImSATLike, as well as a hybrid solver ImSATLike-TT, and experimental results on (weighted) partial MaxSAT instances in recent MaxSAT Evaluations show that they outperform or have nearly the same performances as state-of-the-art local search and hybrid competitors, respectively, in general. Furthermore, we carried out experiments to confirm the individual impacts of each proposed strategy.