北京市浮动车交通状况信息实时计算系统

为应用于复杂城市路网的浮动车系统建设,提出了利用浮动车数据实时计算路网速度的系统建设流程,包括GPS数据接收、数据预处理、数据在电子路网底图上的匹配以及路段运行车速计算。并从数据过滤合理性、地图匹配效率、路网覆盖率及结果可信度等方面验证了该方法的可行性与实际效果。经验证,原始GPS数据经过预处理过滤后能显著提高点匹配率,而改进的路径匹配算法能使过滤后的数据达到95％左右的匹配率,基本覆盖大部分北京市快速路和主干路。     

更换公路旧桥支座的顶升方案

对更换支座的方法进行了分析总结,并在河北省新乐市-沙河大桥施工中,提出了一种简单易行、节约投资的支座更换方法-兜子顶升法;对该法的设计、作用原理进行了阐述,并介绍了其施工过程,为今后更换桥梁支座提供参考.     

Classification decision tree algorithm assisting in diagnosing solitary pulmonary nodule by SPECT/CT fusion imaging

Objective To develop a classification tree algorithm to improve diagnostic performances of 99mTc-MIBI SPECT/CT fusion imaging in differentiating solitary pulmonary nodules (SPNs). Methods Forty-four SPNs, including 30 malignant cases and 14 benign ones that were eventually pathologically identified, were included in this prospective study. All patients received 99Tcm-MIBI SPECT/CT scanning at an early stage and a delayed stage before operation. Thirty predictor variables, including 11 clinical variables, 4 variables of emission and 15 variables of transmission information from SPECT/CT scanning, were analyzed independently by the classification tree algorithm and radiological residents. Diagnostic rules were demonstrated in tree-topology, and diagnostic performances were compared with Area under Curve (AUC) of Receiver Operating Characteristic Curve (ROC). Results A classification decision tree with lowest relative cost of 0.340 was developed for 99Tcm-MIBI SPECT/CT scanning in which the value of Target/Normal region of 99Tcm-MIBI uptake in the delayed stage and in the early stage, age, cough and specula sign were five most important contributors. The sensitivity and specificity were 93.33% and 78. 57e, respectively, a little higher than those of the expert. The sensitivity and specificity by residents of Grade one were 76.67% and 28.57%, respectively, and AUC of CART and expert was 0.886±0.055 and 0.829±0.062, respectively, and the corresponding AUC of residents was 0.566±0.092. Comparisons of AUCs suggest that performance of CART was similar to that of expert (P=0.204), but greater than that of residents (P<0.001). Conclusion Our data mining technique using classification decision tree has a much higher accuracy than residents. It suggests that the application of this algorithm will significantly improve the diagnostic performance of residents.     

急性肝衰竭大鼠血液及胃肠组织中胃动素、胃泌素含量的变化

目的探讨胃动素(MTL)、胃泌素(GAS)在急性肝衰竭(ALF)大鼠血液及胃肠组织中的含量变化及其与肝性胃肠功能障碍的相关性。方法用硫代乙酰胺(TAA)复制出ALF大鼠模型,观察其一般情况及肝脏生化指标,放射免疫分析法(RIA)测定其血液及胃肠黏膜组织中MTL和GAS的含量。结果①模型组大鼠血液及胃黏膜组织中MTL、GAS含量及肠黏膜组织中MTL含量明显升高,与正常对照组比较差异有统计学意义(P<0.01),肠黏膜组织中GAS含量下降,但无统计学意义;②直线相关分析显示,模型组血浆MTL、GAS含量与肝功能指标(ALT、AST)呈显著正相关关系(P<0.01);③模型组大鼠造模后(24、36、48h),随ALF病情及肝性胃肠功能障碍的进展,MTL、GAS含量呈进行性升高。结论血中MTL、GAS含量测定既可作为判断肝功能损伤的指标,亦可作为判断ALF时胃肠功能障碍的指标。     

立交工程软弱土层基坑防护结构受力分析

随着城市规模的不断扩大和铁路的快速发展,市政道路与铁路立交工程逐渐增多。高规格的市政道路使铁路地道越做越大,同时,新建高速铁路严格的沉降控制对工程实施提出了更高的要求。为了确保市政设施及铁路的安全,必须对越做越大的基坑工程进行有效的防护。以典型的高水位、软弱土层、大面积的基坑工程为例,采用钻孔灌注桩为防护结构主体,用冠梁、桩间腰梁、水平内撑、水平斜撑等方式对基坑工程进行了加强。对施工过程中结构的受力与变形情况进行了详细的分析。经现场实际实施,支护系统稳定安全。     

机构投资者持股与上市公司信息披露行为研究

研究采用我国上市公司2005年至2008年会计年报数据,实证检验机构投资者持股对于多角度公司信息披露行为的影响。研究发现机构持股比例越高的公司年报披露越及时,但是持有同一家上市公司的机构数量越多反而会延迟年报的披露;同时还发现机构持股对于上市公司年报的审计意见类型和年报的补充公告影响并不显著,说明我国机构投资者对于上市公司的内部治理作用还十分有限。     

施耐德变频器/软启动在地铁通风系统中的应用

地铁是大密度的地下客运系统,必须解决地铁系统供风的问题,还要考虑有良好的排烟系统。     

山西海事：夯实基础 建立长效机制

山西地处华北西部的黄土高原东翼,属于典型的非水网地区,全省通航总里程1234公里,其中,黄河流经山西省4个市、19个县（市、区）,通航里程971公里,是与蒙、陕、豫的天然分界线,沿黄地区经济发展缓慢,自然条件恶劣,渡运是两岸百姓生活、农作、交流的主要运输工具之一,具有点多、线长、面广的特点,船员大多数属于当地村民,     

大数据时代城市智能交通系统发展方向

伴随大数据时代的到来,新技术与新思维必将引发城市交通学科的重大变革,首先是城市智能交通领域。从交通系统的基本属性、交通大数据发展特征、城市交通发展的基本理念和战略出发,深入剖析中国智能交通系统研发与应用存在的隐忧和倾向:高端智能决策支持欠缺、车联网技术研发泛化、理论创新匮乏、系统建设依旧各自为政未形成合力等。强调城市智能交通系统的发展必须服从城市交通发展战略的需要,充分利用大数据技术。最后,提出未来智能交通系统的发展方向和系统建设任务。     

Human machine collaborative support scheduling system of intelligence information from multiple unmanned aerial vehicles based on eye tracker

Many human-machine collaborative support scheduling systems are used to aid human decision making by providing several optimal scheduling algorithms that do not take operator’s attention into consideration. However, the current systems should take advantage of the operator’s attention to obtain the optimal solution. In this paper, we innovatively propose a human-machine collaborative support scheduling system of intelligence information from multi-UAVs based on eye-tracker. Firstly, the target recognition algorithm is applied to the images from the multiple unmanned aerial vehicles (multi-UAVs) to recognize the targets in the images. Then, the support system utilizes the eye tracker to gain the eye-gaze points which are intended to obtain the focused targets in the images. Finally, the heuristic scheduling algorithms take both the attributes of targets and the operator’s attention into consideration to obtain the sequence of the images. As the processing time of the images collected by the multi-UAVs is uncertain, however the upper bounds and lower bounds of the processing time are known before. So the processing time of the images is modeled by the interval processing time. The objective of the scheduling problem is to minimize mean weighted completion time. This paper proposes some new polynomial time heuristic scheduling algorithms which firstly schedule the images including the focused targets. We conduct the scheduling experiments under six different distributions. The results indicate that the proposed algorithm is not sensitive to the different distributions of the processing time and has a negligible computational time. The absolute error of the best performing heuristic solution is only about 1%. Then, we incorporate the best performing heuristic algorithm into the human-machine collaborative support systems to verify the performance of the system.