Journal of Reliable Intelligent Environments

期刊简介：“Intelligent Environments (IEs)” is growing fast as a multi-disciplinary field allowing many areas of research to have a real beneficial influence in our society. The basic idea behind these systems is that by enriching an environment with technology (sensors, processors, actuators, information terminals, and other devices interconnected through a network), a system can be built such that based on the real-time information gathered and the historical data accumulated, decisions can be taken to benefit the users of that environment. Expected benefits of this technology can be: (a) increasing safety (e.g., by monitoring lifestyle patterns or the latest activities and providing assistance when a possibly harmful situation is developing), (b) comfort (e.g., by adjusting temperature automatically), and (c) economy (e.g., controlling the use of lights). The Journal on Reliable Intelligent Environments focuses on theoretical developments and lessons learnt on the deployment of IEs.  The broad areas represented in the journal reflect the fact that reliability of software systems is the result of a number of approaches combined so an overarching principle of our publication will be to be open and flexible to embrace all type of techniques which can increase confidence in Intelligent Environments systems: selection, installation and calibration of equipmentdeployment and maintenance problemsrequirementsmodelingsimulationtestingvalidationformal verificationpeople-centred computingtoolspilots designsoftware development processsecurityprivacyusabilitysafetyperformancequality of servicelarge-scale integrationscalabilityadaptiveness and autonomicity

【译文】“智能环境（IEs）”作为一个多学科领域正在快速发展，允许许多研究领域对我们的社会产生真正的有益影响。这些系统背后的基本思想是通过技术（传感器、处理器、执行器、信息终端和其他通过网络互联的设备）丰富环境，可以构建一个系统，该系统基于收集到的实时信息和积累的历史数据，可以做出有利于该环境使用者的决策。这种技术的预期好处可以是：（a）提高安全性（例如，通过监测生活方式模式或最新活动，并在可能有害的情况发展时提供援助），（b）舒适度（例如，自动调节温度），和（c）经济性（例如，控制灯光的使用）。《可靠智能环境杂志》专注于IEs部署的理论发展和经验教训。杂志所代表的广泛领域反映了软件系统可靠性是多种方法结合的结果，因此我们出版物的总体原则将是开放和灵活，以接纳所有可以提高智能环境系统信心的技术：设备选择、安装和校准、部署和维护问题、建模、模拟、测试、验证、形式验证、以人为中心的计算、工具、试点设计、软件开发过程、安全性、隐私、可用性、安全性、性能、服务质量、大规模集成、可扩展性、适应性和自组织性。