More and more practice proves that focusing on customer needs is the key to business success.So studying on customer relationship management is very important for its implementation in enterprises.In recent years,data...More and more practice proves that focusing on customer needs is the key to business success.So studying on customer relationship management is very important for its implementation in enterprises.In recent years,data mining in customer relationship management(CRM) application has always been one of the hot spots.This paper shows the relevant methods of data mining application in CRM taking Telecom as an example.展开更多
By means of ERA-40, JRA-25, NCEP/NCAR and NCEP/DOE reanalysis data, empirical relations between precipitable water and surface vapor pressure in spatial and temporal scale were calculated. The reliabilities of precipi...By means of ERA-40, JRA-25, NCEP/NCAR and NCEP/DOE reanalysis data, empirical relations between precipitable water and surface vapor pressure in spatial and temporal scale were calculated. The reliabilities of precipitable water from reanalysis data were validated based on comparing different W-e empirical relations of various reanalysis data, in order to provide basis and reference for reasonable application. The results showed that W-e empirical relation of ERA-40 was closest to that of sounding data in China, and precipitable water from ERA-40 was the most credible. The worldwide comparison among W-e empirical relations of four reanalysis data showed that there was little difference in annual mean W-e empirical relations in the middle latitudes and great differences in low and high latitudes. Seasonal mean W-e empirical relations in the middle latitudes of the northern Hemisphere had little difference in spring, autumn and winter, but great difference in summer. Therefore, the reliabilities of precipitable water from reanalysis data in spring, autumn and winter in the middle latitudes of the northern hemisphere were higher than other areas and seasons. W-e empirical relations of NCEP/NCAR and NCEP/DOE had good stability in different years, while there was poor stability in ERA-40 and JRA-25.展开更多
The aim of this study is to identify the relationship between Vegetation Cover (VC) and the land Surface Temperature (LST), using satellite data of Wadi Bisha, south the Kingdome of Saudi Arabia (KSA). The Landsat 7 T...The aim of this study is to identify the relationship between Vegetation Cover (VC) and the land Surface Temperature (LST), using satellite data of Wadi Bisha, south the Kingdome of Saudi Arabia (KSA). The Landsat 7 Thematic Mapper (ETM) thermal band (band 6) was used for calculating the (LST) values. The near-infrared (NIR) and red band (bands 3 and 4 respectively) were used for estimating the vegetation cover. ERDAS Imagine 9.3 and ArcGIS 10.2 were used in the current study. The results of the study show that the increase of vegetation cover (VC) coincides with decrease of (LST), while the decrease in vegetation cover is linked with increase of (LST). It was found that there was no vegetation observed in areas practiced the highest temperature of 49℃, while areas of lowest temperature of 28℃ were characterized by dense vegetation cover. Thus, a quite significant correlation is approved between the (VC) and the (LST), based on the validation of (50) locations. It was concluded that availability and continuity of Satellite remote sensing data was required for elaborating a continuous monitoring of vegetation cover conditions and mapping was recommended in Wadi Bisha. Operational monitoring is recommended to ensure the adoption of flexible land cover validation protocols.展开更多
随着片上系统(System On Chip, SOC)集成度和规模的指数级增长,计算机系统发生粒子翻转后产生故障的可能性正在增加,其可靠性已经成为一个越来越值得关注的问题.在众多的故障中,静默数据损坏(Silent Data Corruption, SDC)是最难检测的...随着片上系统(System On Chip, SOC)集成度和规模的指数级增长,计算机系统发生粒子翻转后产生故障的可能性正在增加,其可靠性已经成为一个越来越值得关注的问题.在众多的故障中,静默数据损坏(Silent Data Corruption, SDC)是最难检测的故障类型之一,其无法被系统纠错机制检测,会随着程序执行无声地传播,最终破坏程序输出.而现有SDC错误检测方法多数仅考虑指令静态特征,忽略了指令间上下文信息,缺乏探索SDC传播规律的能力.为此,本文提出了一种结合程序异构关系图的SDC错误检测方法(SDC Error Detection Based on Program Heterogeneous Relation Graph, PHRG).首先,设计了一个程序分析框架,挖掘程序上下文信息,构建程序异构关系图;其次,利用多关系图注意力网络搭建指令SDC脆弱性预测模型,挖掘SDC传播的关键路径,识别高脆弱性指令;最后,依据预测结果设计容错机制,对程序进行针对性冗余以检测SDC错误.实验结果表明,PHRG在Mibench测试集上较现有方法具有更高的SDC脆弱性预测准确率,更高的SDC检测率和更低的时空开销.展开更多
文摘More and more practice proves that focusing on customer needs is the key to business success.So studying on customer relationship management is very important for its implementation in enterprises.In recent years,data mining in customer relationship management(CRM) application has always been one of the hot spots.This paper shows the relevant methods of data mining application in CRM taking Telecom as an example.
基金Supported by National Natural Science Foundation of China (40775048)Major State Basic Research Development Program (2006CB400504)National Key Technology R & D Program (2007BAC294)
文摘By means of ERA-40, JRA-25, NCEP/NCAR and NCEP/DOE reanalysis data, empirical relations between precipitable water and surface vapor pressure in spatial and temporal scale were calculated. The reliabilities of precipitable water from reanalysis data were validated based on comparing different W-e empirical relations of various reanalysis data, in order to provide basis and reference for reasonable application. The results showed that W-e empirical relation of ERA-40 was closest to that of sounding data in China, and precipitable water from ERA-40 was the most credible. The worldwide comparison among W-e empirical relations of four reanalysis data showed that there was little difference in annual mean W-e empirical relations in the middle latitudes and great differences in low and high latitudes. Seasonal mean W-e empirical relations in the middle latitudes of the northern Hemisphere had little difference in spring, autumn and winter, but great difference in summer. Therefore, the reliabilities of precipitable water from reanalysis data in spring, autumn and winter in the middle latitudes of the northern hemisphere were higher than other areas and seasons. W-e empirical relations of NCEP/NCAR and NCEP/DOE had good stability in different years, while there was poor stability in ERA-40 and JRA-25.
文摘The aim of this study is to identify the relationship between Vegetation Cover (VC) and the land Surface Temperature (LST), using satellite data of Wadi Bisha, south the Kingdome of Saudi Arabia (KSA). The Landsat 7 Thematic Mapper (ETM) thermal band (band 6) was used for calculating the (LST) values. The near-infrared (NIR) and red band (bands 3 and 4 respectively) were used for estimating the vegetation cover. ERDAS Imagine 9.3 and ArcGIS 10.2 were used in the current study. The results of the study show that the increase of vegetation cover (VC) coincides with decrease of (LST), while the decrease in vegetation cover is linked with increase of (LST). It was found that there was no vegetation observed in areas practiced the highest temperature of 49℃, while areas of lowest temperature of 28℃ were characterized by dense vegetation cover. Thus, a quite significant correlation is approved between the (VC) and the (LST), based on the validation of (50) locations. It was concluded that availability and continuity of Satellite remote sensing data was required for elaborating a continuous monitoring of vegetation cover conditions and mapping was recommended in Wadi Bisha. Operational monitoring is recommended to ensure the adoption of flexible land cover validation protocols.
文摘随着片上系统(System On Chip, SOC)集成度和规模的指数级增长,计算机系统发生粒子翻转后产生故障的可能性正在增加,其可靠性已经成为一个越来越值得关注的问题.在众多的故障中,静默数据损坏(Silent Data Corruption, SDC)是最难检测的故障类型之一,其无法被系统纠错机制检测,会随着程序执行无声地传播,最终破坏程序输出.而现有SDC错误检测方法多数仅考虑指令静态特征,忽略了指令间上下文信息,缺乏探索SDC传播规律的能力.为此,本文提出了一种结合程序异构关系图的SDC错误检测方法(SDC Error Detection Based on Program Heterogeneous Relation Graph, PHRG).首先,设计了一个程序分析框架,挖掘程序上下文信息,构建程序异构关系图;其次,利用多关系图注意力网络搭建指令SDC脆弱性预测模型,挖掘SDC传播的关键路径,识别高脆弱性指令;最后,依据预测结果设计容错机制,对程序进行针对性冗余以检测SDC错误.实验结果表明,PHRG在Mibench测试集上较现有方法具有更高的SDC脆弱性预测准确率,更高的SDC检测率和更低的时空开销.
