I-Corps: Owl Platform:Simple Sensing for Smart Homes

I-Corps：Owl 平台：智能家居的简单传感

• 批准号: 1342639
• 负责人: Richard Martin
• 金额: $ 5万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2014-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1342639&HistoricalAwards=false
• 关键词: Corps; Owl; Platform; Simple; Sensing

This platform presents a hardware-neutral way of developing sensing and ubiquitous computing applications. It is focused on making sensing application available to a larger community of users and developers. It is centered around 2 core concepts: a layered approach to system design, and a set of simple network APIs and data abstractions. The design and simple programming model make it possible for novice developers to rapidly design and develop new and creative applications. The project focuses on lowering the knowledge and skill required of application developers that wish to integrate sensor information. It does this through a combination of simple data structures and information models, and a layered network-based API that hides unnecessary details from developers, freeing them to focus on specific tasks.While commodity sensors and software are becoming more readily available every day, the programming interfaces exported by those systems are tightly bound to the sensors the system supports. Researchers believe that this platform presents a positive first step toward sensing systems that are flexible and general-purpose enough to support a wider array of sensors than is possible in competing systems.

该平台提供了一种硬件中立的方式来开发传感和无处不在的计算应用。它的重点是使传感应用程序提供给更大的社区的用户和开发人员。它围绕着两个核心概念：系统设计的分层方法，以及一组简单的网络API和数据抽象。设计和简单的编程模型使新手开发人员能够快速设计和开发新的创造性应用程序。该项目的重点是降低希望集成传感器信息的应用程序开发人员所需的知识和技能。它通过简单的数据结构和信息模型的组合，以及基于网络的分层API来实现这一点，该API向开发人员隐藏了不必要的细节，使他们能够专注于特定的任务。虽然商品传感器和软件每天都变得越来越容易获得，但这些系统导出的编程接口与系统支持的传感器紧密绑定。研究人员认为，该平台为传感系统迈出了积极的第一步，该系统具有足够的灵活性和通用性，可以支持比竞争系统更广泛的传感器阵列。