16 citations · 79 across the 11 of their papers we have counts for
11 papers
Source Feature Compression for Object Classification in Vision-Based Underwater Robotics
Xueyuan Zhao, Mehdi Rahmati, Dario Pompili
New efficient source feature compression solutions are proposed based on a two-stage Walsh-Hadamard Transform (WHT) for Convolutional Neural Network (CNN)-based object classificati…
Configuration Learning in Underwater Optical Links
Xueyuan Zhao, Zhuoran Qi, Dario Pompili
A new research problem named configuration learning is described in this work. A novel algorithm is proposed to address the configuration learning problem. The configuration learni…
Energy-efficient Analog Sensing for Large-scale and High-density Persistent Wireless Monitoring
Vidyasagar Sadhu, Xueyuan Zhao, Dario Pompili
The research challenge of current Wireless Sensor Networks (WSNs) is to design energy-efficient, low-cost, high-accuracy, self-healing, and scalable systems for applications such a…
Signal Recovery Performance Analysis in Wireless Sensing with Rectangular-Type Analog Joint Source-Channel Coding
Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili
The signal recovery performance of the rectangular-type Analog Joint Source-Channel Coding (AJSCC) is analyzed in this work for high and medium/low Signal-to-Noise Ratio (SNR) scen…
Transform-Domain Classification of Human Cells based on DNA Methylation Datasets
Xueyuan Zhao, Dario Pompili
A novel method to classify human cells is presented in this work based on the transform-domain method on DNA methylation data. DNA methylation profile variations are observed in hu…
Low-power All-analog Circuit for Rectangular-type Analog Joint Source Channel Coding
Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili
A low-complexity all-analog circuit is proposed to perform efficiently Analog Joint Source Channel Coding (AJSCC), which can compress two or more sensor signals into one with contr…
Towards Low-power Wearable Wireless Sensors for Molecular Biomarker and Physiological Signal Monitoring
Xueyuan Zhao, Vidyasagar Sadhu, Tuan Le +2
A low-power wearable wireless sensor measuring both molecular biomarkers and physiological signals is proposed, where the former are measured by a microfluidic biosensing system wh…
Improved Circuit Design of Analog Joint Source Channel Coding for Low-power and Low-complexity Wireless Sensors
Xueyuan Zhao, Vidyasagar Sadhu, Anthony Yang +1
To enable low-power and low-complexity wireless monitoring, an improved circuit design of Analog Joint Source Channel Coding (AJSCC) is proposed for wireless sensor nodes. This inn…
Towards Wireless Health Monitoring via Analog Signal Compression based Biosensing Platform
Xueyuan Zhao, Vidyasagar Sadhu, Tuan Le +2
Wireless all-analog biosensor design for concurrent microfluidic and physiological signal monitoring is presented in this work. The key component is an all-analog circuit capable o…
Analog Signal Compression and Multiplexing Techniques for Healthcare Internet of Things
Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili
Scalability is a major issue for Internet of Things (IoT) as the total amount of traffic data collected and/or the number of sensors deployed grow. In some IoT applications such as…
Energy-efficient Analog Sensing for Large-scale, High-density Persistent Wireless Monitoring
Vidyasagar Sadhu, Xueyuan Zhao, Dario Pompili
The research challenge of current Wireless Sensor Networks~(WSNs) is to design energy-efficient, low-cost, high-accuracy, self-healing, and scalable systems for applications such a…