240 citations · 889 across the 56 of their papers we have counts for
20 papers · 1 filter
Precise WiFi Indoor Positioning using Deep Learning Algorithms
Minxue Cai, Zihuai Lin
This study demonstrates a WiFi indoor positioning system using Deep Learning algorithms. A new method using fitting function in MATLAB will be utilized to compute the path loss coe…
Energy Efficiency Optimization of Intelligent Reflective Surface-assisted Terahertz-RSMA System
Xiaoyu Chen, Feng Yan, Menghan Hu +1
This paper examines the energy efficiency optimization problem of intelligent reflective surface (IRS)-assisted multi-user rate division multiple access (RSMA) downlink systems und…
Micro-Vibration Modes Reconstruction Based on Micro-Doppler Coincidence Imaging
Shuang Liu, Chenjin Deng, Chaoran Wang +3
Micro-vibration, a ubiquitous nature phenomenon, can be seen as a characteristic feature on the objects, these vibrations always have tiny amplitudes which are much less than the w…
Smart Mat Used for Prevention of Hospital-Acquired Pressure Injuries
Lanhao Gao, Zihuai Lin
This work develops a smart mat for monitoring body positions. We use Velostat as a force sensor resistance (FSR) to construct a sensor matrix over the mat to receive the pressure d…
A Dynamic Subarray Structure in Reconfigurable Intelligent Surfaces for TeraHertz Communication Systems
Yicong Liu, Weijie Li, Zihuai Lin
Reconfigurable Intelligent Surface (RIS) has become a popular technology to improve the capability of a THz multiuser Multi-input multi-output (MIMO) communication system. THz wave…
Design of an embedded system with on-demand image capturing and transmission for remote agricultural monitoring
Ivan Hu, Zihuai Lin
The ability to visually verify some element of a remotely controlled agricultural automation system through a photograph is valuable in many cases, not only in the operational phas…
Modulation and Classification of Mixed Signals Based on Deep Learning
Jiahao Xu, Zihuai Lin
With the rapid development of information nowadays, spectrum resources are becoming more and more scarce, leading to a shift in the research direction from the modulation classific…
Precise Indoor Positioning Based on UWB and Deep Learning
Chenyu Wang, Zihuai Lin
We examined UWB-based indoor location in conjunction with a fingerprint technique in this work. We built a connection between the measured and real distances for the UWB indoor pos…
Machine Learning aided Precise Indoor Positioning
Anqi Yin, Zihuai Lin
This study describes a UWB and Machine Learning (ML)-based indoor positioning system. We propose a simple mathematical strategy to create data to reduce the job of measurements for…
Design of an Internet of Things System for Smart Hospitals
Jichao Leng, Xucun Yan, Zihuai Lin
With the fast advancement of smart devices and Internet of Things (IoT) technologies, certain established situations are opening up new avenues of exploration. Particularly in the…
Human Biometric Signals Monitoring based on WiFi Channel State Information using Deep Learning
Moyu Liu, Zihuai Lin, Pei Xiao +1
In this paper, we first present a single-input, multiple-output convolutional neural network that can estimate both heart rate and respiration rate simultaneously by exploiting the…
Significant Low-dimensional Spectral-temporal Features for Seizure Detection
Xucun Yan, Dongping Yang, Zihuai Lin +1
Seizure onset detection in electroencephalography (EEG) signals is a challenging task due to the non-stereotyped seizure activities as well as their stochastic and non-stationary c…
Hybrid 3D Beamforming Relying on Sensor-Based Training and Channel Estimation for Reconfigurable Intelligent Surface Aided TeraHertz MIMO systems
Xufang Wang, Zihuai Lin, Feng Lin +2
Terahertz (THz) systems have the benefit of high bandwidth and hence are capable of supporting ultra-high data rates, albeit at the cost of high pathloss. Hence they tend to harnes…
A Wearable ECG Monitor for Deep Learning Based Real-Time Cardiovascular Disease Detection
Peng Wang, Zihuai Lin, Xucun Yan +4
Cardiovascular disease has become one of the most significant threats endangering human life and health. Recently, Electrocardiogram (ECG) monitoring has been transformed into remo…
Negative-ResNet: Noisy Ambulatory Electrocardiogram Signal Classification Scheme
Zijiao Chen, Zihuai Lin, Peng Wang +1
With recently successful applications of deep learning in computer vision and general signal processing, deep learning has shown many unique advantages in medical signal processing…
Distributed Caching for Data Dissemination in the Downlink of Heterogeneous Networks
Jun Li, Youjia Chen, Zihuai Lin +3
Heterogeneous cellular networks (HCN) with embedded small cells are considered, where multiple mobile users wish to download network content of different popularity. By caching dat…
Power Adaptive Network Coding for a Non-Orthogonal Multiple-Access Relay Channel
Sha Wei, Jun Li, Wen Chen +3
In this paper we propose a novel power adapted network coding (PANC) for a non-orthogonal multiple-access relay channel (MARC), where two sources transmit their information simulta…
Extended Kalman Filter Beam Tracking for Millimeter Wave Vehicular Communications
Sina Shaham, Matthew Kokshoorn, Ming Ding +2
Millimeter-wave (mmWave) communication is a promising technology to meet the ever-growing data traffic of vehicular communications. Unfortunately, more frequent channel estimations…
Rate Adaptive Coded Digital Phase Modulation
Yang Liu, Zihuai Lin
In this paper, rate adaptive coded Digital Phase Modulation (DPM) schemes based on punctured ring convolutional codes are presented. We first present an upper bound on symbol error…
Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications
Sina Shaham, Ming Ding, Matthew Kokshoorn +3
Millimeter wave (mmWave) has been claimed to be the only viable solution for high-bandwidth vehicular communications. However, frequent channel estimation and beamforming required…