Portable platforms for telecommunication, security, and biomedical applications

我们的研究解决了与提高电池供电的片上系统便携式平台的能源效率和可重用性相关的技术挑战。 提高便携式平台的能源效率可提高其运营的可持续性，而提高其可重复使用性可提高其成本效益。 然而，提高能源效率不可避免地会影响可重用性，反之亦然。 为了解决这一冲突，我们进行了严格的理论和实验研究，以确定和利用节能和可重用的平台功能之间的有效平衡，同时专注于与新兴的移动的医疗领域相关的几个核心应用程序。 我们的研究范围包括：1）用于短距离无线通信，抗攻击数据安全和生物医学超声成像应用领域的可编程架构，2）捕获平台能量供应和需求的非线性动态的分析模型，以及3）根据给定应用要求自动确定可编程平台参数的最佳设置的优化算法。

Our research tackles technical challenges associated with improving energy efficiency and reusability of battery-powered system-on-chip portable platforms. Improving energy efficiency of portable platforms increases their operational sustainability, while improving their reusability increases their cost-effectiveness. Improving energy efficiency, however, inevitably worsens reusability and vice versa. To address this conflict, we undertake rigorous theoretical and experimental studies to identify and exploit an effective balance between energy-efficient and reusable platform features, while focusing on several core applications related to the emerging field of mobile health care. The scope of our research encompasses: 1) programmable architectures for the application domains of short-range wireless communication, attack-resistant data security, and biomedical ultrasound imaging, 2) analytical models that capture nonlinear dynamics of the platform energy supply and demand, and 3) optimization algorithms that automatically determine the best settings for programmable platform parameters per given application requirements.