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961.
962.
在进行罐车检定和罐体安全检测时,准确判断罐体标记是否准确对罐车检定工作十分重要,同时还要对罐体进行外观检查,确定外表面是否有明显的腐蚀、损伤和变形。车辆型号和封头形式对罐体型号的判断有影响。企业名称、车型、车号、载重、自重、容积、容积表号和介质名称等所有罐体标记是否准确,影响着检定工作的准确和检定证书的可靠有效。举例说明在日常检定工作中遇到的情况及处理方法。 相似文献
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964.
This paper uses spectral and time‐frequency analyses to treat three macroscopic traffic characteristics, namely, time mean speed, volume and occupancy as stochastic processes. Spectral and time‐frequency analyses are performed to characterize power spectral density (PSD), cross‐PSD, autocorrelation and cross‐correlation of these characteristics using TransGuide traffic data collected from four different freeways. It is found that low‐frequency components dominate the PSDs of speed, volume and occupancy at all times. The magnitude of PSDs decreases dramatically as frequency increases and remains almost at a constant level in high‐frequency regimes. A power law is found to exist, which describes the relationship between the frequency and the PSD of traffic characteristics. It is also found that speed can be properly modeled by a narrowband low‐pass stochastic process in a low‐frequency regime and by a nonzero mean white noise in a high‐frequency regime. Strong periodicities and synchronization are both shown in traffic flow. A variety of frequencies can be excited by congestion, and there is no dominant frequency found in stop‐and‐go traffic. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
965.
一、中国PSC检查情况(一)检查数量2013年5月,中国各PSC检查单位共进行PSC检查850艘次,发现缺陷4510项,单船缺陷数量为5.31项,滞留船舶71艘次,滞留率为8.35%。 相似文献
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967.
It has been previously evidenced that global positioning system (GPS) data can be used to distinguish passenger cars from delivery trucks. In this paper, a machine learning approach is proposed to use GPS data to identify multiclass vehicles, including passenger cars, single unit trucks, and multi-trailer trucks. The method is acceleration and deceleration-based since it considers the variations of acceleration and deceleration as the most effective features to classify vehicles. The overall classification result for the three vehicle classes is about 75%. The major challenge is to distinguish single unit trucks from multitrailer trucks due to their somewhat similar mobility patterns. The paper also explores the impacts of GPS sampling frequency on vehicle classification. It is found that the proposed multiclass vehicle classification can be reasonably conducted if the data are collected frequently enough (i.e., every five seconds or more frequently) to capture the major acceleration and deceleration processes. The proposed method can be considered as a low-cost and non-intrusive approach to collect vehicle class information and to potentially supplement the existing classification schemes in urban areas. 相似文献
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