Qingquan Sun

Oakland University · Department of Electrical and Computer Engineering

An intermittently connected mobile ad hoc network is a special type of wireless mobile network without fully connected path between the source and destination most of the time. In some related works on mobility models, the missing realism of mobility model has been discussed. However, very few routing protocols based on realistic mobility models ha...

Human activity refers to a collection of motions and actions from either an individual or a group. Human activity study aims to recognize subjects' behavioral patterns and understand their situations. Human activity analysis and situation perception can be used to enhance the performance of various applications ranging from healthcare to surveillan...

Distributed binary pyroelectric sensor network (PSN) is a low-cost alternative to video systems for human monitoring applications. This paper presents a PSN-based mobile target recognition system, which aims to achieve multitarget, complex scenario recognition. In this system, a novel pseudorandom visibility mode is designed for the sensor arrays t...

We have built a distributed binary pyroelectric sensor network (PSN) for the purpose of multi-walker recognition and tracking. It is important to identify a region of interest (RoI) in the monitoring area in order to find any interesting targets (i.e., walkers). The prerequisite of RoI identification is to accurately extract context features (such...

This paper presents a compressive tracking framework using distributed binary sensors. The goal of this research is to achieve the minimum data throughput for an accurate multitarget tracking system through novel spatial sampling schemes. The framework consists of two main components: (1) space encoding and (2) measurement decoding. The space encod...

Recently, rehabilitation treadmills are designed for helping injured persons such as stroke patients and injury athletes in the process of physical therapy. By monitoring the changes of paces and gaits, one can estimate the progress of rehabilitation. At present, most devices that can estimate paces and gaits are wearable and/or expensive. This pap...

In this paper, we propose to build a comprehensive cyberphysical system (CPS) with virtual reality (VR) and intelligent sensors for motion recognition and training. We use both wearable wireless sensors (such as electrocardiogram, motion sensors) and nonintrusive wireless sensors (such as gait sensors) to monitor the motion training status. We firs...

This paper presents a flexible fiber-optic sensor-based pressure sensing system for human activity analysis and situation perception in indoor environments. In this system, a binary sensing technology is applied to reduce the data workload, and a bipedal movement-based space encoding scheme is designed to capture people's geometric information. We...

We propose an efficient algorithm for Raptor decoding, which reduces the computational complexity of the most time-consuming steps in systematic decoding. Our proposed algorithm includes two aspects: First, to handle the decoding failure of the Raptor decoding, we propose a scheme, which is called the No-Wrapup Failure Handling scheme. It can resum...

Rank determination issue is one of the most significant issues in non-negative matrix factorization (NMF) research. However, rank determination problem has not received so much emphasis as sparseness regularization problem. Usually , the rank of base matrix needs to be assumed. In this paper, we propose an unsupervised multi-level non-negative matr...

Orthogonal frequency-division multiplexing (OFDM) has lately gained a great deal of attention and is considered as a strong candidate for many next-generation wireless communication systems. However, OFDM is very sensitive to nonlinear effects due to the high peak-to-average power ratio (PAPR) owned by the transmitted signals and does not show robu...

Implantable medical devices (IMDs) have played an important role in many medical fields. Any failure in IMDs operations could cause serious consequences and it is important to protect the IMDs access from unauthenticated access. This study investigates secure IMD data collection within a telehealthcare [mobile health (m-health)] network. We use med...

We have established a multi-walker recognition/tracking testbed based on low-cost pyroelectrc sensor network (PSN). In order to identify a region of interest (Rol) in the monitoring area for the detection of any interesting mobile targets, we propose to use Bayesian machine learning and binary signal projection to extract the statistical contextual...

The effect of storage temperature and seed moisture content on the vigour of Welsh onion (Allium fistulosum L.) seeds was investigated in this study. After two years storage, several indices of seed vigour, including dehydrogenase activity, germination energy, vigour index and emergence percentage of the seeds, declined as storage temperature and s...

The vigour of Welsh onion (Allium fistulosum L.) seeds with low moisture content was determined after exposure to different storage temperatures and container types. As the storage period was prolonged, the effects of storage temperature and container type on seed vigour became more pronounced. Storage temperature had a greater effect on seed vigou...