In the last decade, technical advancements and faster Internet speeds have also led to an increasing number ofmobile devices and users. Thus, all contributors to society, whether young or old members, can use these mo...In the last decade, technical advancements and faster Internet speeds have also led to an increasing number ofmobile devices and users. Thus, all contributors to society, whether young or old members, can use these mobileapps. The use of these apps eases our daily lives, and all customers who need any type of service can accessit easily, comfortably, and efficiently through mobile apps. Particularly, Saudi Arabia greatly depends on digitalservices to assist people and visitors. Such mobile devices are used in organizing daily work schedules and services,particularly during two large occasions, Umrah and Hajj. However, pilgrims encounter mobile app issues such asslowness, conflict, unreliability, or user-unfriendliness. Pilgrims comment on these issues on mobile app platformsthrough reviews of their experiences with these digital services. Scholars have made several attempts to solve suchmobile issues by reporting bugs or non-functional requirements by utilizing user comments.However, solving suchissues is a great challenge, and the issues still exist. Therefore, this study aims to propose a hybrid deep learningmodel to classify and predict mobile app software issues encountered by millions of pilgrims during the Hajj andUmrah periods from the user perspective. Firstly, a dataset was constructed using user-generated comments fromrelevant mobile apps using natural language processing methods, including information extraction, the annotationprocess, and pre-processing steps, considering a multi-class classification problem. Then, several experimentswere conducted using common machine learning classifiers, Artificial Neural Networks (ANN), Long Short-TermMemory (LSTM), and Convolutional Neural Network Long Short-Term Memory (CNN-LSTM) architectures, toexamine the performance of the proposed model. Results show 96% in F1-score and accuracy, and the proposedmodel outperformed the mentioned models.展开更多
Fixed Mobile Convergence (FMC) is the focus of the future communications network development,on which the industry has kept strengthening its relevant research. However,before a large scale of implementation,there are...Fixed Mobile Convergence (FMC) is the focus of the future communications network development,on which the industry has kept strengthening its relevant research. However,before a large scale of implementation,there are still lots of key issues to be explored. The adoption of IP Multimedia Subsystem (IMS) architecture to replace the real-time services in the traditional application needs to solve the Quality of Service (QoS) problem in the IP domain,unify the method that the fixed and mobile users of the traditional circuit domain access IMS,complete the mapping of circuit domain service flow to IMS,guarantee the security of IMS bearer network,transform the traditional operation mode,and set up a new pattern adaptable to the convergence.展开更多
October 24,2006, China SARFT (State Administration of Radio Film and Television) formally issued the China mobile multimedia broadcasting (namely, Mobile TV) industry standard. The standard is a STiMi standard self-de...October 24,2006, China SARFT (State Administration of Radio Film and Television) formally issued the China mobile multimedia broadcasting (namely, Mobile TV) industry standard. The standard is a STiMi standard self-developed in China and put into practice from No-展开更多
文摘In the last decade, technical advancements and faster Internet speeds have also led to an increasing number ofmobile devices and users. Thus, all contributors to society, whether young or old members, can use these mobileapps. The use of these apps eases our daily lives, and all customers who need any type of service can accessit easily, comfortably, and efficiently through mobile apps. Particularly, Saudi Arabia greatly depends on digitalservices to assist people and visitors. Such mobile devices are used in organizing daily work schedules and services,particularly during two large occasions, Umrah and Hajj. However, pilgrims encounter mobile app issues such asslowness, conflict, unreliability, or user-unfriendliness. Pilgrims comment on these issues on mobile app platformsthrough reviews of their experiences with these digital services. Scholars have made several attempts to solve suchmobile issues by reporting bugs or non-functional requirements by utilizing user comments.However, solving suchissues is a great challenge, and the issues still exist. Therefore, this study aims to propose a hybrid deep learningmodel to classify and predict mobile app software issues encountered by millions of pilgrims during the Hajj andUmrah periods from the user perspective. Firstly, a dataset was constructed using user-generated comments fromrelevant mobile apps using natural language processing methods, including information extraction, the annotationprocess, and pre-processing steps, considering a multi-class classification problem. Then, several experimentswere conducted using common machine learning classifiers, Artificial Neural Networks (ANN), Long Short-TermMemory (LSTM), and Convolutional Neural Network Long Short-Term Memory (CNN-LSTM) architectures, toexamine the performance of the proposed model. Results show 96% in F1-score and accuracy, and the proposedmodel outperformed the mentioned models.
文摘Fixed Mobile Convergence (FMC) is the focus of the future communications network development,on which the industry has kept strengthening its relevant research. However,before a large scale of implementation,there are still lots of key issues to be explored. The adoption of IP Multimedia Subsystem (IMS) architecture to replace the real-time services in the traditional application needs to solve the Quality of Service (QoS) problem in the IP domain,unify the method that the fixed and mobile users of the traditional circuit domain access IMS,complete the mapping of circuit domain service flow to IMS,guarantee the security of IMS bearer network,transform the traditional operation mode,and set up a new pattern adaptable to the convergence.
文摘October 24,2006, China SARFT (State Administration of Radio Film and Television) formally issued the China mobile multimedia broadcasting (namely, Mobile TV) industry standard. The standard is a STiMi standard self-developed in China and put into practice from No-
