地铁供电系统中压开关柜电流分析理论和方法

通过分析地铁供电系统不同电压等级的设备电流特征,确定35 kV电压等级设备电流可构造标准曲线,采用机器智能学习算法分析、测算地铁供电系统中各类开关峰谷时段运行电流,以均值-方差方法确定电流的高度异常偏离点,实现异常点数据周期内统计以及实时提醒功能。应用电流实测值分析电流在工作日、节假日的不同曲线,为负荷预测和非正常运行方式下的负荷叠加风险提供预测和评估依据,保障供电系统的安全运行,提高负荷管控效率。     

熔融石英砂动力特性动三轴试验

为探究振动荷载作用下熔融石英砂液化破坏过程中动变形和动强度变化规律, 促进透明土技术在岩土工程动力特性可视化模型试验中的推广和应用, 对构成透明砂土骨架结构的典型粒径(0.5~1.0 mm)熔融石英砂开展饱和试样动三轴试验; 研究了不同围压、加载频率和动应力比等试验条件下熔融石英砂试样的累积轴向应变、动孔压发展模式、动应力衰减、动弹性模量和阻尼比的变化规律, 并将试验结果与相同级配的标准砂进行了对比。分析结果表明: 熔融石英砂累积轴向应变随动应力比的增大呈现出由稳定型向破坏型转变的趋势, 加载频率为0.5~1.5 Hz时, 临界动应力比为0.150~0.175, 小于标准砂的0.200~0.225;升高围压、增大动应力比、降低加载频率会加快试样塑性应变累积, 缩短液化破坏时间; 熔融石英砂孔压发展模式随围压增大逐渐由Seed孔压模型向指数型过渡, 增大加载动应力会加剧液化破坏后孔压的振动幅度; 相同动应力比下, 熔融石英砂与标准砂的动应力与动应变呈现线性相关, 在围压大于200 kPa时, 二者动应力衰减幅度随围压的增大而逐渐减小; 熔融石英砂的动弹性模量和阻尼比表现为线性关系, 动弹性模量随动应变的增大呈现出双曲线型减小的趋势, 并随围压的增大而增大; 阻尼比随动应变的增加先增大后基本稳定在0.22, 发展曲线受围压影响较小。      

低剂量水稳碎石混合料成型工艺对比研究

基于同一级配低剂量半刚性基层混合料,本文分析了振动法和击实法两种方法成型试件的强度和力学特点。并通过实体工程对试验结果进行了验证。     

CT reconstruction with priori MRI images through multi-group datasets expansion

Computed tomography (CT) reconstruction with a well-registered priori magnetic resonance imaging (MRI) image can improve reconstruction results with low-dose CT, because well-registered CT and MRI images have similar structures. However, in clinical settings, the CT image of patients does not always match the priori MRI image because of breathing and movement of patients during CT scanning. To improve the image quality in this case, multi-group datasets expansion is proposed in this paper. In our method, multi-group CT-MRI datasets are formed by expanding CT-MRI datasets. These expanded datasets can also be used by most existing CT-MRI algorithms and improve the reconstructed image quality when the CT image of a patient is not registered with the priori MRI image. In the experiments, we evaluate the performance of the algorithm by using multi-group CT-MRI datasets in several unregistered situations. Experiments show that when the CT and priori MRI images are not registered, the reconstruction results of using multi-group dataset expansion are better than those obtained without using the expansion.     

Attitudes,mode switching behavior,and the built environment: A longitudinal study in the Puget Sound Region

Carpooling in the US has a storied history. After experiencing a peak 20% mode share in 1980, the current share of carpooling for work trips is about 10% and the majority of these carpooling trips are made by intra-household members. Casting the choice between SOV and carpool as a social dilemma in which SOV is a noncooperative choice and carpool is a cooperative one, we propose to test two hypotheses. First, the switch from SOV to carpool and the reverse choice are attributed to different factors—structural factors, or those factors altering the objective features of a decision scenario such as travel time and travel cost, play a dominant role in the switch from carpool to SOV while psychosocial factors (attitudes and beliefs) play a critical role in the switch from SOV to carpool. Second, the two choices are underlay by different behavioral mechanisms. In particular, we expect self-justification by carpool-to-SOV switchers—after they switch from carpool to SOV, they adjusted their attitudes toward carpool accordingly to match their behavior. The analysis of the first three waves of the Puget Sound Transportation Panel supports these two hypotheses. Our study results recommend developing programs and policies that aim at influencing people’s subjective assessments of carpooling, in addition to the existing ones that mostly focus on incentivizing carpooling, and differentiating between programs seeking to encourage SOV users to switch to carpool and those aiming to maintain existing carpoolers.     

Key technologies of ship remote control system in inland waterways under ship-shore cooperation conditions北大核心CSCD

［Objective ］ To meet the requirements of remotely controlling ship in curved, narrow and crowded inland waterways, this paper proposes an approach that consists of CNN-based algorithms and knowledge based models under ship-shore cooperation conditions. ［Method］On the basis of analyzing the characteristics of ship-shore cooperation, the proposed approach realizes autonomous perception of the environment with visual simulation at the core and navigation decision-making control based on deep reinforcement learning, and finally constructs an artificial intelligence system composed of image deep learning processing, navigation situation cognition, route steady-state control and other functions. Remote control and short-time autonomous navigation of operating ships are realized under inland waterway conditions, and remote control of container ships and ferries is carried out. ［Results］The proposed approach is capable of replacing manual work by remote orders or independent decision-making, as well as realizing independent obstacle avoidance, with a consistent deviation of less than 20 meters. ［Conclusions］The developed prototype system carries out the remote control operation demonstration of the above ship types in such waterways as the Changhu Canal Shenzhou line and the Yangtze River, proving that a complete set of algorithms with a CNN and reinforcement learning at the core can independently extract key navigation information, construct obstacle avoidance and control awareness, and lay the foundation for inland river intelligent navigation systems. © 2022 Journal of Clinical Hepatology. All rights reserved.     

Personalization method of e-catalog based on user interesting degree

The user interesting degree evaluation index is designed to fulfill the users’ real needs, which includes the user’ attention degree of commodity, hot commodity and preferential commodity. User interesting degree model (UIDM) is constructed to justify the value of user interesting degree; the personalization approach is presented; operations of add and delete nodes (branches) are covered in this paper. The improved e-catalog is more satisfied to users’ needs and wants than the former e-catalog which stands for enterprises, and the improved one can complete the recommendation of related products of enterprises.     

上海市道路隧道结构设计标准综述

通过调研和总结上海已建15座盾构隧道的设计资料,对现有隧道存在的病害进行了归类分析,提出了隧道病害的预防与治理措施;对明挖段的围护设计选型、结构工程规模和盾构隧道几何设计参数进行了统计分析,提出了明挖接线段围护结构选型及插入比的建议,明确了明挖结构的计算模型和计算参数;对已建盾构隧道的埋深、最小曲线半径、最小线间距、最大坡度等几何参数进行了详细分析,总结出了工作井平面尺寸的确定方法和盾构进出洞的关键技术。     

Estimation of delay variability at signalized intersections for urban arterial performance evaluation

Urban arterial performance evaluation has been broadly studied, with the major focus on average travel time estimation. However, in view of the stochastic nature of interrupted flow, the ability to capture the characteristics of travel time variability has become a critical step in determining arterial level of service (LOS). This article first presents a stochastic approach that integrates classic cumulative curves and probability theories in order to investigate delay variability at signalized intersections, as a dominant part of the link travel time variability. This serves as a basis for arterial travel time estimation, which can be obtained through a convolution of individual link travel time distributions. The proposed approach is then applied in the estimation of travel time along one arterial in Shanghai, China, with abundant automatic vehicle identification (AVI) data sources. The travel time variability is evaluated thoroughly at 30-min intervals, with promising results achieved in comparison to the field measurements. In addition, the estimated travel time distributions are utilized to illustrate the probability of multiple LOS ranges, namely, reliability LOS. The results provide insights into how we might achieve a more reliable and informative understanding of arterial performance.