Conference: NSF Workshop on the Convergence of Smart Sensing Systems, Applications, Analytic and Decision Making

我们生活在一个高度互联的世界，这种互联互通预计将在未来十年呈指数级增长。作为这一快速扩张的结果，我们预计将形成一个由超过500亿个互联智能系统组成的网络，其中包括智能家电、汽车、小工具和工具。这些系统能够收集大量实时数据，执行复杂的计算任务，并提供有价值的服务和可操作的见解，极大地丰富了我们的生活和集体生产力。这些智能系统的基本组件包括分布式传感器、通信模块以及分析和计算模块。这些组成部分错综复杂地交织在一起，相互依赖。总体而言，不同的传感技术、它们的应用和在分析领域开发的方法之间存在着天然的协同作用。拟议讲习班的目标是确定与智能传感技术有关的这些领域的重大研究和教育挑战。更具体地说，研讨会旨在解决研究人员如何在融合分析领域的工具和算法的同时处理传感应用中的问题和制定解决方案方面的重大研究差距。总的来说，研讨会旨在促进来自不同领域的专家之间的合作、知识交流和创新，以促进对传感系统中分析工具的理解和应用。主要目标和重点领域如下：1)调整分析领域的最新水平：研讨会旨在通过以感应界可以理解的方式展示尖端计算和分析能力，弥合数据科学领域、学术界和工业界之间的差距，特别是机器学习。它寻求建立有效的方法，使传感系统研究人员随时了解分析领域的最新进展，并在公共可访问的储存库中提供这些做法。2)认识到算法的局限性和应用要求：研讨会认识到，将先进算法从分析领域直接应用到传感系统可能会分散注意力和受到限制，特别是在考虑到传感系统固有的物理约束时。研究人员需要开发定制的计算和分析工具，以尊重这些限制并与特定的应用程序要求保持一致。3)专用传感器系统：研讨会认识到各种应用中使用的传感器范围很广，旨在开发新的传感器或集成现有传感器以满足特定的应用要求。它汇集了来自不同领域的专家，以定义和交付满足传感器系统中性能、成本、采样、环境、部署、数据收集和易用性需求的技术。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

We live in a highly interconnected world, and this interconnectivity is predicted to grow exponentially in the next decade. As a result of this rapid expansion, we anticipate a network of more than 50 billion interconnected smart systems, encompassing intelligent appliances, cars, gadgets, and tools. These systems possess the capability to collect extensive real-time data, perform complex computational tasks, and deliver valuable services and actionable insights, greatly enriching our lives and collective productivity. Essential components of these smart systems include distributed sensors, communication modules, as well as analytical and computational modules. These components are intricately intertwined and rely on each other. Overall, there is a natural synergy between different sensing technologies, their applications, and methodologies developed in analytical areas. The objective of the proposed workshop is to identify significant research and educational challenges pertaining to these areas related to smart sensing technologies. More specifically, the workshop aims to address significant research gaps in how researchers approach problems and formulate solutions in sensing applications while integrating tools and algorithms from analytical areas. Overall, the workshop aims to foster collaboration, knowledge exchange, and innovation between experts from various fields to advance the understanding and application of analytical tools in sensing systems. The main goals and areas of focus are as follows: 1 )Aligning the State-of-the-Art of Analytical Areas: The workshop aims to bridge the gap between various scientific fields, academia, and industry in data science, particularly machine learning, by presenting the cutting-edge computational and analytical capabilities in a way that is understandable to the sensing community. It seeks to establish effective methods to keep sensing system researchers updated on advancements in analytical areas and make these practices available in a publicly accessible repository. 2) Appreciating Algorithmic Limitations & Application Requirements: The workshop recognizes that the direct application of advanced algorithms from analytical areas to sensing systems can be distracting and limited, especially when considering the physical constraints inherent in sensing systems. Researchers need to develop customized computational and analytical tools that respect these constraints and align with specific application requirements. 3) Application-Specific Sensor Systems: The workshop acknowledges the broad range of sensors used in various applications and aims to develop new sensors or integrate existing ones to meet specific application requirements. It brings together experts from different fields to define and deliver technologies that address performance, cost, sampling, environmental, deployment, data collection, and ease-of-use needs in sensor systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.