SBIR Phase I: Scalable Location Data Management

SBIR 第一阶段：可扩展位置数据管理

• 批准号: 0712581
• 负责人: Karthikeyan Ramasamy
• 金额: $ 10万
• 依托单位: Locomatix, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0712581&HistoricalAwards=false
• 关键词: SBIR; Phase; Scalable; Location; Data

This SBIR Phase I research project seeks to develop asset tracking methods for complex environments. Location-based data methods will be built as a middleware platform that leverages the strengths of traditional systems for managing simple alphanumeric data. Research will include the necessary steps to develop simple demonstration applications that can be used to show scalable querying, updating, and location based trigger evaluation features.The expected outcome is a system that augments existing data management applications with powerful location-based data management capabilities that informs critical business decisions. The proposed methods could lead to improved efficiencies in applications where asset tracking represents a significant resource drain. For example, commercial deployment of these methods could prevent a nurse from spending hours searching for lost diagnostic equipment, leading to improved efficiencies and eventually eliminating what is now an issue costing individual care units hundreds of thousands of dollars a year.

SBIR第一阶段的研究项目旨在为复杂环境开发资产跟踪方法。基于位置的数据方法将被构建为一个中间件平台，利用传统系统的优势来管理简单的字母数字数据。 研究将包括必要的步骤，开发简单的演示应用程序，可用于显示可扩展的查询，更新和基于位置的触发评估功能。预期的结果是一个系统，增强现有的数据管理应用程序与强大的基于位置的数据管理功能，通知关键业务决策。 所提出的方法可以提高应用程序的效率，其中资产跟踪是一个显着的资源消耗。 例如，这些方法的商业部署可以防止护士花费数小时寻找丢失的诊断设备，从而提高效率，并最终消除现在每年花费数十万美元的个人护理单位的问题。