Development and implementation of pilgrims (Hajj) Guide application to be used at Hajj season would facilitate follow-up of campaign supervisors on their campaign’s safety and location. The systems would also allow H...Development and implementation of pilgrims (Hajj) Guide application to be used at Hajj season would facilitate follow-up of campaign supervisors on their campaign’s safety and location. The systems would also allow Hajj and Umrah administration to manage the crowd of the campaigns in an easy manner. In this paper, we propose Android/iPhone application that allows Hajj administration to monitor pilgrims using Quick Response Codes. Using quick response code application allows campaign supervisors and Hajj and Umrah employees to monitor pilgrims and guide them in case of getting lost. The application offers an easier and faster service than traditional approach used at Hajj season by human guidance. It is a very convenient service that would relief stresses of pilgrim’s relatives who worry about their relatives performing Hajj. The results show that the average score of our approach (QR) is 4.72 out of 5 comparing with traditional mobile applications indicating that the users are feeling enjoyable while using the new application features and the system is easy to use. Finally, the systems would assist in achieving the highest degree of pilgrims safety at Hajj season.展开更多
前些日子一阵欢呼声,iPhone第四代来了,iPhone OS 4也就随之来了。随后这些日子,大家的热情好像都完全被iPhone 4吸引过去了,这些手中还拿iPhone一代的长辈怎么办呢？通常都会认为一个真正的果粉不是因为拥有苹果最新的一系列产品,而是...前些日子一阵欢呼声,iPhone第四代来了,iPhone OS 4也就随之来了。随后这些日子,大家的热情好像都完全被iPhone 4吸引过去了,这些手中还拿iPhone一代的长辈怎么办呢？通常都会认为一个真正的果粉不是因为拥有苹果最新的一系列产品,而是收藏了苹果早期有代表性的产品,例如Apple在我们眼中,iPhone或许已经开始沦落到具有收藏价值的产品当中了。展开更多
近年来,随着智能手机在中国市场上的普及率大幅上升,基于不同系统平台的智能手机之间的竞争愈发激烈,其中尤以iPhone和Android手机的两相争霸为甚。近年来,有不少的研究表明Android的客户忠诚度逐渐下降,相反,iPhone的客户忠诚度却逐步...近年来,随着智能手机在中国市场上的普及率大幅上升,基于不同系统平台的智能手机之间的竞争愈发激烈,其中尤以iPhone和Android手机的两相争霸为甚。近年来,有不少的研究表明Android的客户忠诚度逐渐下降,相反,iPhone的客户忠诚度却逐步上升至Android的3~4倍。本文将通过美国著名市场调研公司Consumer Intelligence Research Partners等提供的最新相关数据较为直观地表现这一差距,并主要从市场营销角度对其形成原因进行分析。展开更多
针对Android恶意软件经常被混淆以逃避检测的问题,提出基于敏感函数调用图(sensitive function call graphs,SFCG)表征学习的敏感函数调用图检测(sensitive function call graphs detector,SFCG_Detector)方法,用于检测Android恶意软件...针对Android恶意软件经常被混淆以逃避检测的问题,提出基于敏感函数调用图(sensitive function call graphs,SFCG)表征学习的敏感函数调用图检测(sensitive function call graphs detector,SFCG_Detector)方法,用于检测Android恶意软件。首先,通过静态分析提取函数调用图,并设计图修剪策略,保留与敏感应用程序接口(application programming interface,API)相关的关键节点,降低图的复杂性并保留行为语义。在节点表征方面,基于变换器的双向编码器表示(bidirectional encoder representation from transformers,BERT)模型与Katz中心性,提取节点的语义特征和结构重要性。随后,利用图采样与聚合(graph sample and aggregation,GraphSAGE)神经网络对敏感函数调用图进行层次化学习,生成图级嵌入以支持分类任务。使用经典的加拿大网络安全研究所恶意软件数据集2020版(Canadian institute for cybersecurity malware dataset 2020,CICMalDroid 2020)进行实验,结果表明,SFCG_Detector在恶意软件检测上的F1分数达到98.75%,召回率达到98.89%。相比其他方法,SFCG_Detector能有效地识别出Android恶意软件,性能上有明显提升。展开更多
文摘Development and implementation of pilgrims (Hajj) Guide application to be used at Hajj season would facilitate follow-up of campaign supervisors on their campaign’s safety and location. The systems would also allow Hajj and Umrah administration to manage the crowd of the campaigns in an easy manner. In this paper, we propose Android/iPhone application that allows Hajj administration to monitor pilgrims using Quick Response Codes. Using quick response code application allows campaign supervisors and Hajj and Umrah employees to monitor pilgrims and guide them in case of getting lost. The application offers an easier and faster service than traditional approach used at Hajj season by human guidance. It is a very convenient service that would relief stresses of pilgrim’s relatives who worry about their relatives performing Hajj. The results show that the average score of our approach (QR) is 4.72 out of 5 comparing with traditional mobile applications indicating that the users are feeling enjoyable while using the new application features and the system is easy to use. Finally, the systems would assist in achieving the highest degree of pilgrims safety at Hajj season.
文摘前些日子一阵欢呼声,iPhone第四代来了,iPhone OS 4也就随之来了。随后这些日子,大家的热情好像都完全被iPhone 4吸引过去了,这些手中还拿iPhone一代的长辈怎么办呢？通常都会认为一个真正的果粉不是因为拥有苹果最新的一系列产品,而是收藏了苹果早期有代表性的产品,例如Apple在我们眼中,iPhone或许已经开始沦落到具有收藏价值的产品当中了。
文摘近年来,随着智能手机在中国市场上的普及率大幅上升,基于不同系统平台的智能手机之间的竞争愈发激烈,其中尤以iPhone和Android手机的两相争霸为甚。近年来,有不少的研究表明Android的客户忠诚度逐渐下降,相反,iPhone的客户忠诚度却逐步上升至Android的3~4倍。本文将通过美国著名市场调研公司Consumer Intelligence Research Partners等提供的最新相关数据较为直观地表现这一差距,并主要从市场营销角度对其形成原因进行分析。
文摘针对Android恶意软件经常被混淆以逃避检测的问题,提出基于敏感函数调用图(sensitive function call graphs,SFCG)表征学习的敏感函数调用图检测(sensitive function call graphs detector,SFCG_Detector)方法,用于检测Android恶意软件。首先,通过静态分析提取函数调用图,并设计图修剪策略,保留与敏感应用程序接口(application programming interface,API)相关的关键节点,降低图的复杂性并保留行为语义。在节点表征方面,基于变换器的双向编码器表示(bidirectional encoder representation from transformers,BERT)模型与Katz中心性,提取节点的语义特征和结构重要性。随后,利用图采样与聚合(graph sample and aggregation,GraphSAGE)神经网络对敏感函数调用图进行层次化学习,生成图级嵌入以支持分类任务。使用经典的加拿大网络安全研究所恶意软件数据集2020版(Canadian institute for cybersecurity malware dataset 2020,CICMalDroid 2020)进行实验,结果表明,SFCG_Detector在恶意软件检测上的F1分数达到98.75%,召回率达到98.89%。相比其他方法,SFCG_Detector能有效地识别出Android恶意软件,性能上有明显提升。
