Junqi Guo

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The Internet of Things (IoT), which is usually established over architectures of wireless sensor networks, provides an actual platform for various applications of personal and ubiquitous computing. Recently, moving target localization and tracking in an IoT environment have been paid more and more attention. This paper proposes a square-root unscented(More)
Internet of things (IoT) has provided a promising choice for structural health monitoring (SHM) recently. In vibration-based structural health monitoring, structural features which are extracted from periodically spaced measurement using sensors are subject to variable environmental conditions. This paper proposes an environmental effect removal based(More)
We propose in this paper a non-cyclic prefixed multiple-input multiple-output orthogonal frequency division multiplexing (non-cp MIMO-OFDM) system based on a recursive algorithm of joint channel estimation and data detection. Unlike in the traditional cyclic prefixed MIMO-OFDM system, the transmitted sequence of the proposed system is given in the way that(More)
OBJECTIVE The aim of this study was to evaluate the efficiency and safety of simultaneous islet and kidney transplantation in patients with type 1 diabetes and end-stage renal disease using a glucocorticoid-free immunosuppressive regimen with alemtuzumab induction. RESEARCH DESIGN AND METHODS Seven patients with type 1 diabetes and end-stage renal failure(More)
Smartphone based activity recognition has recently received remarkable attention in various applications of mobile health such as safety monitoring, fitness tracking, and disease prediction. To achieve more accurate and simplified medical monitoring, this paper proposes a self-learning scheme for patients’ activity recognition, in which a patient only needs(More)
In recent years, human motion recognition based on smartphones has gotten increasing attention in many fields such as mobile health, health tracking and pervasive computing. However, motion recognition performance can be easily affected by variation of phone orientations and positions. Different users have influence on recognition accuracy as well. Most of(More)
This paper presents two novel channel estimation algorithms for block transmission systems with two transmit antennas over frequency-selective fading channels: time-domain-processing-based algorithm (TDPBA) and frequency-domain-processing-based algorithm (FDPBA). Performance analysis of the two novel algorithms and simulation results show that both can(More)
In a context sensing system in which a sensor-equipped mobile phone runs an unreliable context-aware application, the application can infer the user's contexts, based on which it provides personalized services. However, the application may sell the user's contexts to some malicious adversaries to earn extra profits, which will hinder its widespread use. In(More)