Mobile Backscatter Communication for the Battery-less Internet of Things
研究解决了无电池移动物联网设备在动态环境下的通信问题,通过轻量级决策系统和非易失性存储技术,优化了数据传输率并降低了能耗。
研究解决了无电池移动物联网设备在动态环境下的通信问题,通过轻量级决策系统和非易失性存储技术,优化了数据传输率并降低了能耗。
本文提出了一种具有乘性边界机制的多类线性感知器分类器(MMPerc),通过要求真实类别分数超过其他竞争类别的特定比例来增强分类信心,解决了标准感知器依赖得分幅度的问题。
本文解决了Hyperdimensional Computing中实值向量绑定操作兼容性问题,通过引入基于随机傅里叶特征的实值位置编码方法,并验证了其在时间序列分类任务中的有效性。
研究通过深度学习方法分析卫星图像时间序列监测草地恢复情况,提出处理年内变化和每块草地归一化的方法以提高准确性。
This study examines the tension between power distribution and principles of online democracy in decentralized systems within the Internet of Things era, focusing on the governance practices of Bitcoin and Wikipedia. Through case studies, policy analysis, and qualitative comparative methods, it uncovers non-democratic tendencies in their decision-making processes, including elite dominance and unequal participation. The research proposes a set of refined pathways to enhance fairness and consensus mechanisms in digital governance, offering both theoretical grounding and practical strategies for developing more inclusive and transparent decentralized governance models.
研究解决了无电池移动物联网设备在动态环境下的通信问题,通过轻量级决策系统和非易失性存储技术,优化了数据传输率并降低了能耗。
本文提出了一种具有乘性边界机制的多类线性感知器分类器(MMPerc),通过要求真实类别分数超过其他竞争类别的特定比例来增强分类信心,解决了标准感知器依赖得分幅度的问题。
本文解决了Hyperdimensional Computing中实值向量绑定操作兼容性问题,通过引入基于随机傅里叶特征的实值位置编码方法,并验证了其在时间序列分类任务中的有效性。
研究通过深度学习方法分析卫星图像时间序列监测草地恢复情况,提出处理年内变化和每块草地归一化的方法以提高准确性。
This study examines the tension between power distribution and principles of online democracy in decentralized systems within the Internet of Things era, focusing on the governance practices of Bitcoin and Wikipedia. Through case studies, policy analysis, and qualitative comparative methods, it uncovers non-democratic tendencies in their decision-making processes, including elite dominance and unequal participation. The research proposes a set of refined pathways to enhance fairness and consensus mechanisms in digital governance, offering both theoretical grounding and practical strategies for developing more inclusive and transparent decentralized governance models.