In order to make full use of digital data, such as data extracted from electronic police video systems, and optimize intersection signal parameters, the theoretical distribution of the vehicle's road travel time m...In order to make full use of digital data, such as data extracted from electronic police video systems, and optimize intersection signal parameters, the theoretical distribution of the vehicle's road travel time must first be determined. The intersection signal cycle and the green splits were optimized simultaneously, and the system total travel time was selected as the optimization goal. The distribution of the vehicle's link travel time is the combined results of the flow composition, road marking, the form of control, and the driver's driving habits. The method proposed has 15% lower system total stop delay and fewer total stops than the method of TRRL(Transport and Road Research Laboratory) in England and the method of ARRB(Australian Road Research Board) in Australia. This method can save 0.5% total travel time and will be easier to understand and test, which establishes a causal relationship between optimal results and specific forms of road segment management, such as speed limits.展开更多
this paper develops a real-time traffic signal timing model which is to be integrated into a single intersection for urban road, thereby solving the problem of traffic congestion. We analyze the current situation of t...this paper develops a real-time traffic signal timing model which is to be integrated into a single intersection for urban road, thereby solving the problem of traffic congestion. We analyze the current situation of the traffic flow with release matrix firstly, and then put forward the basic models to minimize total delay time of vehicles at the intersection. The optimal real-time signal timing model (non-fixed cycle and non-fixed split) is built with the Webster split optimal model. At last, the simulated results, which are compared with conventional model, manifest the promising properties of proposed model.展开更多
Current traffic signal split failure (SF) estimations derived from high-resolution controller event data rely on detector occupancy ratios and preset thresholds. The reliability of these techniques depends on the sele...Current traffic signal split failure (SF) estimations derived from high-resolution controller event data rely on detector occupancy ratios and preset thresholds. The reliability of these techniques depends on the selected thresholds, detector lengths, and vehicle arrival patterns. Connected vehicle (CV) trajectory data can more definitively show when a vehicle split fails by evaluating the number of stops it experiences as it approaches an intersection, but it has limited market penetration. This paper compares cycle-by-cycle SF estimations from both high-resolution controller event data and CV trajectory data, and evaluates the effect of data aggregation on SF agreement between the two techniques. Results indicate that, in general, split failure events identified from CV data are likely to also be captured from high-resolution data, but split failure events identified from high-resolution data are less likely to be captured from CV data. This is due to the CV market penetration rate (MPR) of ~5% being too low to capture representative data for every controller cycle. However, data aggregation can increase the ratio in which CV data captures split failure events. For example, day-of-week data aggregation increased the percentage of split failures identified with high-resolution data that were also captured with CV data from 35% to 56%. It is recommended that aggregated CV data be used to estimate SF as it provides conservative and actionable results without the limitations of intersection and detector configuration. As the CV MPR increases, the accuracy of CV-based SF estimation will also improve.展开更多
In this paper,we make use of the boosting method to introduce a new learning algorithm for Gaussian Mixture Models (GMMs) called adapted Boosted Mixture Learning (BML). The method possesses the ability to rectify the ...In this paper,we make use of the boosting method to introduce a new learning algorithm for Gaussian Mixture Models (GMMs) called adapted Boosted Mixture Learning (BML). The method possesses the ability to rectify the existing problems in other conventional techniques for estimating the GMM parameters, due in part to a new mixing-up strategy to increase the number of Gaussian components. The discriminative splitting idea is employed for Gaussian mixture densities followed by learning via the introduced method. Then, the GMM classifier was applied to distinguish between healthy infants and those that present a selected set of medical conditions. Each group includes both full-term and premature infants. Cry-pattern for each pathological condition is created by using the adapted BML method and 13-dimensional Mel-Frequency Cepstral Coefficients (MFCCs) feature vector. The test results demonstrate that the introduced method for training GMMs has a better performance than the traditional method based upon random splitting and EM-based re-estimation as a reference system in multi-pathological classification task.展开更多
针对多雷达辐射源脉冲交错背景下,线性调频(Linear Frequency Modulation,LFM)信号低信噪比导致的脉冲分裂带来原始信号参数难以估计的问题,本文提出了基于深度神经网络和直方图统计的LFM信号两阶段提取与参数估计方法。首先利用双向长...针对多雷达辐射源脉冲交错背景下,线性调频(Linear Frequency Modulation,LFM)信号低信噪比导致的脉冲分裂带来原始信号参数难以估计的问题,本文提出了基于深度神经网络和直方图统计的LFM信号两阶段提取与参数估计方法。首先利用双向长短时记忆网络挖掘原始脉冲流中LFM信号与非LFM信号的调制模式差异并进行分类;其次通过序列调频斜率直方图寻找LFM信号分裂脉冲序列间隐含的原始信号调频斜率信息,提取不同调频斜率的LFM信号脉冲子序列;最后在每个子序列中分别估计原始信号的参数。仿真实验结果表明,相较于传统的序列差值直方图算法和循环神经网络分选方法,本文所提方法能够更准确地提取出LFM脉冲信号,并得到较为精确的参数估计结果。展开更多
目的探究瑞马唑仑(RZ)调节Notch-1/发状分裂相关增强子(Hes)信号通路对烧伤脓毒症大鼠肠道损伤的影响。方法将60只SD大鼠随机分为正常组(Normal组)、模型组(Model组)、低剂量RZ组(RZ-L组,3mg/kg RZ)、高剂量RZ组(RZ-H组,6mg/kg RZ)和高...目的探究瑞马唑仑(RZ)调节Notch-1/发状分裂相关增强子(Hes)信号通路对烧伤脓毒症大鼠肠道损伤的影响。方法将60只SD大鼠随机分为正常组(Normal组)、模型组(Model组)、低剂量RZ组(RZ-L组,3mg/kg RZ)、高剂量RZ组(RZ-H组,6mg/kg RZ)和高剂量RZ+Notch-1激活剂Jagged1组(RZ-H+Jagged1组,6mg/kg RZ+0.67mg/kg Jagged1),每组12只。在大鼠背部建立20%总体表面积(TBSA)Ⅲ度烫伤(烧伤)模型,之后注射铜绿假单胞菌制备烧伤脓毒症模型。HE染色观察回肠组织病理变化,并进行肠黏膜损伤评分(Chiu’s评分)。ELISA法检测血清内毒素、D-乳酸和二胺氧化酶(DAO)及回肠组织白细胞介素-6(IL-6)和肿瘤坏死因子-α(TNF-α)、髓过氧化物酶(MPO)的水平。RT-qPCR法检测回肠组织Notch-1,Hes mRNA表达。Western Blot检测回肠组织Notch-1/Hes信号通路相关蛋白表达。结果与Normal组相比,Model组大鼠肠黏膜损伤评分(5.30±0.48分vs 1.00±0.52分)、血清内毒素(135.69±16.24 pg/ml vs 62.48±3.23 pg/ml),D-乳酸(1403.58±68.97 pg/ml vs 752.06±25.29 pg/ml)和DAO水平(137.55±12.37 pg/ml vs 58.52±4.43 pg/ml)、回肠组织IL-6(186.45±16.37 ng/ml vs 21.32±3.66 ng/ml),TNF-α(163.37±11.40 ng/ml vs 15.52±1.03 ng/ml)和MPO水平(8.94±0.92 U/ml vs 2.35±0.33 U/ml)及Notch-1 mRNA(1.86±0.19 vs 1.00±0.10)和蛋白(0.79±0.08 vs 0.21±0.02),Hes-1 mRNA(2.13±0.21 vs 1.00±0.12)和蛋白(0.88±0.09 vs 0.32±0.03)表达水平均升高,差异具有统计学意义(t=14.294~47.368,均P<0.05)。与Model组相比,RZ-L组和RZ-H组相应指标变化与上述相反,差异具有统计学意义(tRZ-L=5.650~21.448,tRZ-H=4.435~42.403,均P<0.05)。Notch-1激活剂Jagged1减弱了RZ对烧伤脓毒症大鼠肠道损伤的治疗作用。结论RZ可能通过抑制Notch-1/Hes信号通路减轻烧伤脓毒症模型大鼠的肠道损伤。展开更多
基金Project(14BTJ017)supported by National Social Science Foundation Project of ChinaProject supported by the 2014 Mathematics and Interdisciplinary Science Project of Central South University,China
文摘In order to make full use of digital data, such as data extracted from electronic police video systems, and optimize intersection signal parameters, the theoretical distribution of the vehicle's road travel time must first be determined. The intersection signal cycle and the green splits were optimized simultaneously, and the system total travel time was selected as the optimization goal. The distribution of the vehicle's link travel time is the combined results of the flow composition, road marking, the form of control, and the driver's driving habits. The method proposed has 15% lower system total stop delay and fewer total stops than the method of TRRL(Transport and Road Research Laboratory) in England and the method of ARRB(Australian Road Research Board) in Australia. This method can save 0.5% total travel time and will be easier to understand and test, which establishes a causal relationship between optimal results and specific forms of road segment management, such as speed limits.
文摘this paper develops a real-time traffic signal timing model which is to be integrated into a single intersection for urban road, thereby solving the problem of traffic congestion. We analyze the current situation of the traffic flow with release matrix firstly, and then put forward the basic models to minimize total delay time of vehicles at the intersection. The optimal real-time signal timing model (non-fixed cycle and non-fixed split) is built with the Webster split optimal model. At last, the simulated results, which are compared with conventional model, manifest the promising properties of proposed model.
文摘Current traffic signal split failure (SF) estimations derived from high-resolution controller event data rely on detector occupancy ratios and preset thresholds. The reliability of these techniques depends on the selected thresholds, detector lengths, and vehicle arrival patterns. Connected vehicle (CV) trajectory data can more definitively show when a vehicle split fails by evaluating the number of stops it experiences as it approaches an intersection, but it has limited market penetration. This paper compares cycle-by-cycle SF estimations from both high-resolution controller event data and CV trajectory data, and evaluates the effect of data aggregation on SF agreement between the two techniques. Results indicate that, in general, split failure events identified from CV data are likely to also be captured from high-resolution data, but split failure events identified from high-resolution data are less likely to be captured from CV data. This is due to the CV market penetration rate (MPR) of ~5% being too low to capture representative data for every controller cycle. However, data aggregation can increase the ratio in which CV data captures split failure events. For example, day-of-week data aggregation increased the percentage of split failures identified with high-resolution data that were also captured with CV data from 35% to 56%. It is recommended that aggregated CV data be used to estimate SF as it provides conservative and actionable results without the limitations of intersection and detector configuration. As the CV MPR increases, the accuracy of CV-based SF estimation will also improve.
文摘In this paper,we make use of the boosting method to introduce a new learning algorithm for Gaussian Mixture Models (GMMs) called adapted Boosted Mixture Learning (BML). The method possesses the ability to rectify the existing problems in other conventional techniques for estimating the GMM parameters, due in part to a new mixing-up strategy to increase the number of Gaussian components. The discriminative splitting idea is employed for Gaussian mixture densities followed by learning via the introduced method. Then, the GMM classifier was applied to distinguish between healthy infants and those that present a selected set of medical conditions. Each group includes both full-term and premature infants. Cry-pattern for each pathological condition is created by using the adapted BML method and 13-dimensional Mel-Frequency Cepstral Coefficients (MFCCs) feature vector. The test results demonstrate that the introduced method for training GMMs has a better performance than the traditional method based upon random splitting and EM-based re-estimation as a reference system in multi-pathological classification task.
文摘针对多雷达辐射源脉冲交错背景下,线性调频(Linear Frequency Modulation,LFM)信号低信噪比导致的脉冲分裂带来原始信号参数难以估计的问题,本文提出了基于深度神经网络和直方图统计的LFM信号两阶段提取与参数估计方法。首先利用双向长短时记忆网络挖掘原始脉冲流中LFM信号与非LFM信号的调制模式差异并进行分类;其次通过序列调频斜率直方图寻找LFM信号分裂脉冲序列间隐含的原始信号调频斜率信息,提取不同调频斜率的LFM信号脉冲子序列;最后在每个子序列中分别估计原始信号的参数。仿真实验结果表明,相较于传统的序列差值直方图算法和循环神经网络分选方法,本文所提方法能够更准确地提取出LFM脉冲信号,并得到较为精确的参数估计结果。
文摘目的探究瑞马唑仑(RZ)调节Notch-1/发状分裂相关增强子(Hes)信号通路对烧伤脓毒症大鼠肠道损伤的影响。方法将60只SD大鼠随机分为正常组(Normal组)、模型组(Model组)、低剂量RZ组(RZ-L组,3mg/kg RZ)、高剂量RZ组(RZ-H组,6mg/kg RZ)和高剂量RZ+Notch-1激活剂Jagged1组(RZ-H+Jagged1组,6mg/kg RZ+0.67mg/kg Jagged1),每组12只。在大鼠背部建立20%总体表面积(TBSA)Ⅲ度烫伤(烧伤)模型,之后注射铜绿假单胞菌制备烧伤脓毒症模型。HE染色观察回肠组织病理变化,并进行肠黏膜损伤评分(Chiu’s评分)。ELISA法检测血清内毒素、D-乳酸和二胺氧化酶(DAO)及回肠组织白细胞介素-6(IL-6)和肿瘤坏死因子-α(TNF-α)、髓过氧化物酶(MPO)的水平。RT-qPCR法检测回肠组织Notch-1,Hes mRNA表达。Western Blot检测回肠组织Notch-1/Hes信号通路相关蛋白表达。结果与Normal组相比,Model组大鼠肠黏膜损伤评分(5.30±0.48分vs 1.00±0.52分)、血清内毒素(135.69±16.24 pg/ml vs 62.48±3.23 pg/ml),D-乳酸(1403.58±68.97 pg/ml vs 752.06±25.29 pg/ml)和DAO水平(137.55±12.37 pg/ml vs 58.52±4.43 pg/ml)、回肠组织IL-6(186.45±16.37 ng/ml vs 21.32±3.66 ng/ml),TNF-α(163.37±11.40 ng/ml vs 15.52±1.03 ng/ml)和MPO水平(8.94±0.92 U/ml vs 2.35±0.33 U/ml)及Notch-1 mRNA(1.86±0.19 vs 1.00±0.10)和蛋白(0.79±0.08 vs 0.21±0.02),Hes-1 mRNA(2.13±0.21 vs 1.00±0.12)和蛋白(0.88±0.09 vs 0.32±0.03)表达水平均升高,差异具有统计学意义(t=14.294~47.368,均P<0.05)。与Model组相比,RZ-L组和RZ-H组相应指标变化与上述相反,差异具有统计学意义(tRZ-L=5.650~21.448,tRZ-H=4.435~42.403,均P<0.05)。Notch-1激活剂Jagged1减弱了RZ对烧伤脓毒症大鼠肠道损伤的治疗作用。结论RZ可能通过抑制Notch-1/Hes信号通路减轻烧伤脓毒症模型大鼠的肠道损伤。
