离子缔合物溶剂萃取荧光法测定痕量汞

在酸性介质中,Hg2+、Br-和亚甲蓝形成离子缔合物,该缔合物易被1,2-二氯乙烷等有机溶剂所萃取,在689nm处有较强荧光。在优化的实验条件下,在0.01～6.4μg/mL范围内,Hg与荧光强度成正比,该法综合荧光的高灵敏度特点和溶剂萃取的浓缩作用,使其灵敏度得到极大提高,检出限为3 ng/mL,更适合用于痕量汞的测定。经过用于乌江水样中痕量汞的实际测定,结果比较满意。     

CdIn_2S_4光催化降解亚甲基蓝的试验

以CdIn2S4为光催化剂,钨灯模拟可见光,探讨其对活性染料亚甲基蓝的光催化降解过程.考察了光照时间、催化剂用量、亚甲基蓝的初始浓度、反应体系的pH值和温度以及光强对光催化过程的影响.结果表明：对于4mg/L的亚甲基蓝溶液,200W钨灯照射下,CdIn2S4的用量为0.04g/L,pH为3.0,1.5h内其降解率可达97.83%.温度对反应影响很小.     

城市物流服务站交通影响分析方法及应用

为有效地解决城市物流服务站的交通影响分析问题，在总结国内外研究成果基础上，提出了城市物流服务站交通影响分析的工作程序．用物流处理量作为实施交通影响分析的前提条件,针对交通服务水平不足以表征城市物流服务站对交通的影响程度，以交通影响度代之，并给出了相应定义与计算方法,讨论了包括改善邻近交叉口的交通组织、合理设置物流服务站进出口与道路交通标志标线等在内的减小城市物流服务站交通影响程度的措施．     

Study on dynamic characteristics of vehicle gearbox under multi-boundary conditions

With the development of vehicle gearbox to high-power-density and high-speed, how to predict and optimize the dynamic characteristics of vehicle gearbox becomes increasingly prominent. Aiming at the vehicle gearbox, this paper comprehensively and deeply studies the dynamic characteristics under the multi-boundary conditions. The generation mechanism of the multi-source excitations triggering the gearbox vibration is analyzed firstly. The vibration transfer path of the gearbox is explored. Secondly, the engine excitation, the gear meshing excitation and the bearing support load are numerically calculated. According to the finite element method, a fluid-solid coupling finite element model of the gearbox body is established to predict the gearbox dynamic responses based on the Galerkin method and the Hamiltonian variational principle. Finally, the effects of the excitation condition, oil height and reinforcement forms on the vibration responses of the gearbox body are thoroughly studied by simulation. The analysis indicates that it not only helps to modify and improve the method of forecasting the gearbox dynamic response, and also provides the theoretical and technical guidance for the gearbox design and optimization.     

Automatic outer surface extraction of femoral head in CT images

Computer-aided hip surgery planning and implant design applications require accurate segmentation of femoral head and proximal acetabulum. An accurate outer surface extraction of femoral head using marching cubes algorithm remains challenging due to deformed shapes and extremely narrow inter-bone regions. In this paper, we present an automatic and fast approach for segmentation of femoral head and proximal acetabulum which leads to accurate and compact representation of femoral head using marching cubes algorithm. At first, valley-emphasized images are constructed from original images so that valleys stand out in high relief. Otsu’s multiple thresholding technique is applied to seperate the images into bone and non-bone classes. Region growing method and threedimensional (3D) morphological operations are performed to fill holes in the bone. In the reclassification process, the bone regions are further segmented, and the boundaries of the bone regions are further refined based on Bayes decision rule. Finally, marching cubes algorithm is applied to reconstruct a 3D model and extract the outer surface of femoral head and proximal acetabulum. Experimental results show that this method is an accurate segmentation technique for femoral head and proximal acetabulum and it can be applied as a tool in medical practice.     

单相交流逆变系统直流侧电容电压脉动分析

对于单相交流逆变系统,其直流侧电容电压存在固有的2倍于逆变器输出频率的脉动,本文基于基本电路原理对系统暂态过程中电气量的变化规律进行了分析,总结了系统直流侧电容电压脉动的机理,并建立了仿真模型,对系统直流侧电压脉动的相关典型工况进行了分析。     

An advanced risk analysis approach for container port safety evaluation

Risk analysis in seaports plays an increasingly important role in ensuring port operation reliability, maritime transportation safety and supply chain distribution resilience. However, the task is not straightforward given the challenges, including that port safety is affected by multiple factors related to design, installation, operation and maintenance and that traditional risk assessment methods such as quantitative risk analysis cannot sufficiently address uncertainty in failure data. This paper develops an advanced Failure Mode and Effects Analysis (FMEA) approach through incorporating Fuzzy Rule-Based Bayesian Networks (FRBN) to evaluate the criticality of the hazardous events (HEs) in a container terminal. The rational use of the Degrees of Belief (DoB) in a fuzzy rule base (FRB) facilitates the implementation of the new method in Container Terminal Risk Evaluation (CTRE) in practice. Compared to conventional FMEA methods, the new approach integrates FRB and BN in a complementary manner, in which the former provides a realistic and flexible way to describe input failure information while the latter allows easy updating of risk estimation results and facilitates real-time safety evaluation and dynamic risk-based decision support in container terminals. The proposed approach can also be tailored for wider application in other engineering and management systems, especially when instant risk ranking is required by the stakeholders to measure, predict and improve their system safety and reliability performance.     

会遇态势相关的雷达标绘评估模型研究

雷达标绘评估是雷达两证模拟器实际操作评估的重要组成部分,目前评估仍采用主观性较强的人工评判,因此有必要实现雷达标绘自动评估。雷达标绘自动评估的关键是雷达标绘评估模型,为此提出了与会遇态势相关的雷达标绘评估模型。首先对雷达标绘中目标船和本船的会遇态势进行分类,根据评估要素重要程度和观测与标绘精度需要设置评估要素权重和允许误差范围,进而构造隶属度函数对受训人的雷达标绘操作进行自动评估。本评估模型已经应用于雷达模拟器上,取得了较好的效果。     

Epistemic-based investigation of the probability of hazard scenarios using Bayesian network for the lifting operation of floating objects

Owing to the increase in unprecedented accidents with new root causes in almost all operational areas, the importance of risk management has dramatically risen. Risk assessment, one of the most significant aspects of risk management, has a substantial impact on the system-safety level of organizations, industries, and operations. If the causes of all kinds of failure and the interactions between them are considered, effective risk assessment can be highly accurate. A combination of traditional risk assessment approaches and modern scientific probability methods can help in realizing better quantitative risk assessment methods. Most researchers face the problem of minimal field data with respect to the probability and frequency of each failure. Because of this limitation in the availability of epistemic knowledge, it is important to conduct epistemic estimations by applying the Bayesian theory for identifying plausible outcomes. In this paper, we propose an algorithm and demonstrate its application in a case study for a light-weight lifting operation in the Persian Gulf of Iran. First, we identify potential accident scenarios and present them in an event tree format. Next, excluding human error, we use the event tree to roughly estimate the prior probability of other hazard-promoting factors using a minimal amount of field data. We then use the Success Likelihood Index Method (SLIM) to calculate the probability of human error. On the basis of the proposed event tree, we use the Bayesian network of the provided scenarios to compensate for the lack of data. Finally, we determine the resulting probability of each event based on its evidence in the epistemic estimation format by building on two Bayesian network types: the probability of hazard promotion factors and the Bayesian theory. The study results indicate that despite the lack of available information on the operation of floating objects, a satisfactory result can be achieved using epistemic data.