Transit smart card data mining for passenger origin information extraction

The automated fare collection(AFC) system,also known as the transit smart card(SC) system,has gained more and more popularity among transit agencies worldwide.Compared with the conventional manual fare collection system,an AFC system has its inherent advantages in low labor cost and high efficiency for fare collection and transaction data archival.Although it is possible to collect highly valuable data from transit SC transactions,substantial efforts and methodologies are needed for extracting such data because most AFC systems are not initially designed for data collection.This is true especially for the Beijing AFC system,where a passenger’s boarding stop(origin) on a flat-rate bus is not recorded on the check-in scan.To extract passengers’ origin data from recorded SC transaction information,a Markov chain based Bayesian decision tree algorithm is developed in this study.Using the time invariance property of the Markov chain,the algorithm is further optimized and simplified to have a linear computational complexity.This algorithm is verified with transit vehicles equipped with global positioning system(GPS) data loggers.Our verification results demonstrated that the proposed algorithm is effective in extracting transit passengers’ origin information from SC transactions with a relatively high accuracy.Such transit origin data are highly valuable for transit system planning and route optimization.     

利用Origin7.0软件处理超声波声速实验数据

利用Origin7.0软件对驻波法测量超声波波速的实验数据进处理。通过整个实验数据处理,展示Origin7.0直观、快捷、高效的特点,适合学生在物理实验的数据处理和分析中应用。     

Origin7.5在光电效应实验数据处理中的应用

应用Origin7.5软件能够快速准确处理光电效应实验数据,能够对辅助处理物理实验数据非常有效。     

应用Origin软件研究非平衡电桥实验

用非平衡电压电桥测量在不同比率k值下Cu50电阻随温度变化关系.利用Origin软件,从不同角度研究非平衡电压电桥的特性,实验结果和理论值一致,k值越大,非线性误差越小,电桥灵敏度越低.     

Transit smart card data mining for passenger origin information extraction

The automated fare collection (AFC) system,also known as the transit smart card (SC) system,has gained more and more popularity among transit agencies worldwide.Compared with the conventional manual fa...     

用VB控制Origin实现船舶航行特性曲线的自动绘制

利用Origin所附带的二次开发工具-LabTalk，编制了自动绘制2个图层并存且由多条曲线组成的船舶航行特性曲线的程序。为调整Origin不同图层间联结直线段的长短，编程实现了类似AuWCAD中的trim／extend功能，并将该功能做成一按钮插入到toolbar中以方便使用；从而可调整不同层间线段的长短，使绘成的图形更美观，     

准噶尔盆地腹部含氮—富氮天然气成因

通过对天然气地化特征、碳同位素、轻烃组成资料研究认为,准噶尔盆地腹部陆梁隆起古生界天然气具有高氮特征.其中陆南凸起石炭系和三叠系天然气为含氮天然气;石南凹陷石炭系天然气为富氮天然气.成因研究认为,这类天然气可能与岩浆岩侵入体有关.在此研究基础上,结合地质条件,推测气源为石南凹陷石炭系.     

中低温煤焦油模拟蒸馏曲线解析

利用Origin软件中的解析功能,将中低温煤焦油样品的模拟蒸馏曲线转化为类实沸点蒸馏曲线。类实沸点蒸馏曲线是模拟蒸馏曲线的导函数曲线,是沸点与相应沸点下物质含量的关系图,与实沸点蒸馏曲线类似。通过类实沸点蒸馏曲线可知,随着终温的升高,轻质组分减少,重油增加,沥青含量由30%左右逐渐增加到50%;在350~420℃类实沸点曲线皆出现波峰,波峰沸点物质含量随着煤样热解终温的升高而依次减少。中低温热解以解聚反应为主,高温高能量有利于高键能键的断裂,低温低能量有利于低键能键的断裂。     

基于多元素和稳定同位素技术的桃产地溯源

目的 研究利用桃中多元素和稳定同位素地域特征进行产地溯源的可行性。方法 应用电感耦合等离子体质谱和稳定同位素比质谱技术,测试桃样品中54种元素和碳(13C/12C)、氮(15N/14N)、氢(2H/1H)、氧(18O/16O) 4种稳定同位素比值,分析不同产地桃的特征指标,采用逐步判别分析,建立产地判别模型,开展平谷、顺平和丹东桃产地溯源。结果 不同产地桃中碳和氧同位素比值差异显著(P<0.05),Na、Mg、Al、K、Mn、Cu、Zn、Rb、Sr、Cd和Ba等11种元素含量差异显著(P<0.05)。筛选C、H、O、Mg、Al、K、Fe、Cu、Zn、Cd等10项指标建立产地判别模型,进行原始回代检验和留一交叉检验,判别准确率均为100%。结论 研究表明,同时利用桃中多元素含量和稳定同位素比值特征指标建立产地判别模型,能够区分不同产地的桃,为桃产地溯源的可行性提供方法依据。