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791.
为提高交通事件检测方法的综合性能,使用动态背景更新和改进的运动估计,将动态图像序列转化为车辆标号场,实现对车辆的跟踪;构造轨迹建模和编码,提取车辆的运动轨迹,并建立自组织神经网络进行行为模式学习;最后,使用OGS-DTW算法对轨迹数据进行预处理,并对距离函数进行求解,从而实现待测事件序列的轨迹与典型轨迹数据模式的匹配。分别以U形转、违章左拐和违章变道3种事件为对象进行了多组对比,检测成功率均在80%以上。试验还进行3种检测方法指标的对比,在平均耗时方面,一般的DTW算法、改进的DTW算法及基于OGS改进的DTW算法分别是126.5、62.5、69.8 s;而它们的事件检测成功率分别是84.6%、68.8%和88.3%。结果表明:基于OGS-DTW算法的交通事件检测方法稳定且可靠,在显著降低计算量的同时,仍然保证了较高的匹配准确性,成功率高、实时性好。 相似文献
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In this paper, a novel electrochemiluminescent (ECL) detection approach was developed for highly sensitive detection of ECL inhibitors based on the ECL inhibition of Ru(bpy)32+/2-(Dibutylamino)ethanol (DBAE) system. A microfluidic ECL detection cell was fabricated to couple with the capillary electrophoresis system, the electrochemical system and the postcolumn injection system. Both Ru(bpy)32+ and DBAE solutions were injected directly to the working electrode surface by a micro-infusion system to obtain a high and stable ECL signal. The performance of this setup was demonstrated by the analysis of two typical ECL inhibitors, dopamine and epinephrine. Under the optimal conditions, the limit of detection (LOD) for dopamine and epinephrine was 50nM and 5nM respectively. The proposed method was also successfully used for the trace analysis of dopamine and epinephrine in human serum samples. 相似文献
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In the modes of both object motion and camera motion, an enhanced Camshift algorithm, which is based on suppressing similar
color features of background and on joint color probability density distribution image, is proposed to real-time track head
in dynamic complex environment. The system consists of face detection module, head tracking module and camera control module.
When tracking fails, a self-recovery mechanism is introduced. At first the Adaboost face detector based on Haar-like features
is implemented to find frontal faces, the false positive is filtered according to the skin color criterion, and the true face
is used to initialize the tracking module. In hue saturation value (HSV) colorspace, the hue-saturation (H-S) histogram of face skin and the saturation-value (S-V) histogram of hair are built to produce the joint color probability density distribution image, and this is intended to realize
the head tracking with arbitrary pose. During tracking, region of interest (ROI) is introduced, and the color probability
density distribution of a specified background area outside the ROI is learned, similar color features in the head are suppressed
according to the learning result. The background suppression step is intended to resolve the problem that the tracker maybe
fails when the head is distracted by backgrounds having similar colors with the head. A closed loop control model based on
speed regulation is applied to drive an active camera to center the head. Once tracking drift or failure is detected, the
system stops tracking and returns to the face detection module. Our experimental results show that the presented system is
well suitable for tracking head with arbitrary pose in dynamic complex environments, also the active camera can track moving
head smoothly and stably. The system is computationally efficient and can run in real-time completely. 相似文献
800.
大型独立电力网络拓扑识别及故障潮流计算 总被引:1,自引:1,他引:0
针对大型独立电力网络的特点,提出了一种新的网络拓扑结构在线分析法--扩展关联矩阵法.该方法融合了深度及广度优先搜索的优点,并可以进行局部搜索,提高了故障跟踪时的速度及准确度,给出了节点和支路的编码方法及扩展关联矩阵的形成方法.利用新方法,研究了系统的故障跟踪、故障处理方法及带有网络拓扑结构识别的实用简单潮流计算方法,为系统的故障恢复做好了充分的准备. 相似文献