Human resource management service faced the challenges of promoting efficiency, costs saving, quick responding and so on. In order to face these challenges, this paper puts forward a “6 + 1” structure of human resou...Human resource management service faced the challenges of promoting efficiency, costs saving, quick responding and so on. In order to face these challenges, this paper puts forward a “6 + 1” structure of human resource management service combined with some characteristics of cloud computing, elaborates the service mode of the cloud service platform based on this structure, the characteristics and challenges of the platform, and hopes to provide a new service perspective to human resource management.展开更多
All-for-one tourism is a new mode of regional development, which can promote the coordinated development of economy and society. Due to diverse tourism information sources and scattered data services, the real-time an...All-for-one tourism is a new mode of regional development, which can promote the coordinated development of economy and society. Due to diverse tourism information sources and scattered data services, the real-time and effectiveness of tourism information service is insufficient, and the “information island” is numerous. In order to integrate and share information resources effectively, and achieve the intelligentialized and real-time all-for-one tourism information services, this paper proposes a systematic framework of allfor- one tourism information system, where tourists and tourist destinations are considered as all-for-one tourism digital ecosystem. The whole mode of this framework was combined with four levels and two parts. Some advanced information technologies such as big data, cloud computing and mobile internet application development were utilized to construct tourism digital ecosystem. How to implement all-for-one tourism information collection, integration, processing and sharing was discussed and the corresponding solution was provided.展开更多
视频云网平台中涵盖了大量智能算法,如何对其进行高效管理,从而支持应用服务的快速部署与更新是一个重要的科学问题.然而,传统的智能算法与云端资源具有绑定规则,不同应用服务商之间的智能算法缺乏统一的调用机制,导致它们无法快速整合...视频云网平台中涵盖了大量智能算法,如何对其进行高效管理,从而支持应用服务的快速部署与更新是一个重要的科学问题.然而,传统的智能算法与云端资源具有绑定规则,不同应用服务商之间的智能算法缺乏统一的调用机制,导致它们无法快速整合和有效利用.为了解决此难题,建立“服务—算法—资源”动态互联服务体系,有效解决算法快速迭代、应用需求时变与智能算法版权固化管理的矛盾.在动态互联服务过程中,传统的、面向固定内容的买断式数字版权管理已经无法为细粒度权限管理提供高效服务.为此,提出智能算法版权管理系统(algorithmic intelligence right management,AIRM),通过设计版权资源服务化方法与流动性算力网络结构,构建视频云网平台中“共享式”智能算法版权管理方法.在中国电信视频分析平台授权管理模块中的实际部署结果表明,所设计方法可以将算法并发服务能力提高19.9倍,将算法版权响应时间降低18.36%.展开更多
文摘Human resource management service faced the challenges of promoting efficiency, costs saving, quick responding and so on. In order to face these challenges, this paper puts forward a “6 + 1” structure of human resource management service combined with some characteristics of cloud computing, elaborates the service mode of the cloud service platform based on this structure, the characteristics and challenges of the platform, and hopes to provide a new service perspective to human resource management.
文摘All-for-one tourism is a new mode of regional development, which can promote the coordinated development of economy and society. Due to diverse tourism information sources and scattered data services, the real-time and effectiveness of tourism information service is insufficient, and the “information island” is numerous. In order to integrate and share information resources effectively, and achieve the intelligentialized and real-time all-for-one tourism information services, this paper proposes a systematic framework of allfor- one tourism information system, where tourists and tourist destinations are considered as all-for-one tourism digital ecosystem. The whole mode of this framework was combined with four levels and two parts. Some advanced information technologies such as big data, cloud computing and mobile internet application development were utilized to construct tourism digital ecosystem. How to implement all-for-one tourism information collection, integration, processing and sharing was discussed and the corresponding solution was provided.
文摘视频云网平台中涵盖了大量智能算法,如何对其进行高效管理,从而支持应用服务的快速部署与更新是一个重要的科学问题.然而,传统的智能算法与云端资源具有绑定规则,不同应用服务商之间的智能算法缺乏统一的调用机制,导致它们无法快速整合和有效利用.为了解决此难题,建立“服务—算法—资源”动态互联服务体系,有效解决算法快速迭代、应用需求时变与智能算法版权固化管理的矛盾.在动态互联服务过程中,传统的、面向固定内容的买断式数字版权管理已经无法为细粒度权限管理提供高效服务.为此,提出智能算法版权管理系统(algorithmic intelligence right management,AIRM),通过设计版权资源服务化方法与流动性算力网络结构,构建视频云网平台中“共享式”智能算法版权管理方法.在中国电信视频分析平台授权管理模块中的实际部署结果表明,所设计方法可以将算法并发服务能力提高19.9倍,将算法版权响应时间降低18.36%.
