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Cardiovascular diseases are the leading cause of mortality worldwide and impose a tremendous burden on socio-economic costs. At present, prevention strategies based on personalized lifestyle interventions are considered the best way to contain the epidemics of these diseases. In this view, availability of innovative technological systems able to assist people in self-monitoring and self-coaching is...
In a cyber-physical system (CPS), the events start or finish in a sequence of time. The sequence can be called chronological order. Chronological order relationship is essential in determining system status and providing decision reference in feedback control related to IoT areas. However, the correctness of the order obtained is vulnerable to many factors. This paper delves into typical events in...
Predicting hand gestures and finger movements include a wide range of applications in different fields such as human computer interaction, rehabilitation, and prosthesis control. Research in this area, mainly focuses on hand gesture classification which limits the ability of the system to a set of predefined gestures and also limits the ability to control fine finger movements. Force Myography (FMG)...
Nowaday, mobile crowdsensing (MCS) is widely used in mobile devices, and one of the key challenges is how to motivate users to provide sensing services. In this paper, we explore the sensing task allocation in a MCS environment in which requester aims to maximize the valuation of tasks with limited budget. According to the multi-parameter bids of users including sensing costs and available time, we...
An important field in exploratory sensory data analysis is the segmentation of time-series data to identify activities of interest. In this work, we analyse the performance of univariate and multi-sensor Bayesian change detection algorithms in segmenting accelerometer data. In particular, we provide theoretical analysis and also performance evaluation on synthetic data and real-world data. The results...
The paper proposes a customized frequency domain energy detection spectrum sensing scheme. It is needed to fulfill requirements provided by the IEEE 802.22 standard, aimed at extending Internet services to Television White Space frequencies. It provides a detection scheme allowing to achieve strict sensitivity required by the protocol either in sensing time or in detection capabilities. In particular,...
In this paper, a hybrid method for acquisition and reconstruction of sparse magnetic resonance images is presented. The method uses conventional spin echo Magnetic Resonance Imaging (MRI) with only a few Phase-encoding steps to obtain the dominant k-space data coefficients. The rest of the k-space data coefficients are estimated using Compressive Sampling (CS). The compressive sampling part of the...
Clustering of multimodal data according to their information content is considered in this paper. Statistical correlations present in data that contain similar information are exploited to perform the clustering task. Specifically, multiset canonical correlation analysis is equipped with norm-one regularization mechanisms to identify clusters within different types of data that share the same information...
In order to solve the problem of operation reliability estimation of a single NC turning tool, a method based on support vector space is proposed. In the method, the relative distance between the sample points and the hyper-sphere is calculated by establishing the high dimension hyper-sphere space of the similar data. The semi normal function is introduced to describe the reliability of cutting tool...
Cognitive radio (CR) was proposed in wireless communications to improve spectral efficiency based on the concept of opportunistic spectrum access. Because orthogonal frequency division multiplexing (OFDM) has become the major access technique, an efficient spectrum sensing technique targeted at OFDM-based signals is one of the primary requirements of CR networks. To reduce computational complexity,...
In this work, we have explored a new method which based on Bayesian assimilation for monitoring methane (CH4) emissions at different rice phenological stages. Specifically, we investigate two algorithms, one based on the ground-based radar scatterometer (GBRS) with full polarization (HH, HV, VH, and VV) and the other based on the mechanistic process of agricultural model concluded the parameters of...
SPOT6/7 images of bared soil and mid-season soybean were used to propose a new methodology for site-specific management zone (SSMZ) delineation in the Black soil farmland of Northeast China and soil organic matter and normalized difference vegetation index (NDVI) were used to evaluate the results. The results show: 1) SSMZ based on the June 9th image and the NDVI on the August 8th had the consistent...
Synthetic Aperture Radar (SAR) remote sensing has become a valuable tool for maritime pollution monitoring with three major requirements: 1) low noise floor, 2) large area coverage, and 3) polarization diversity to maximize detection and discrimination of pollution features. In order to reconcile the advantages of fully polarimetric SAR with larger area coverage, compact polarimetry (CP) acquisitions...
The TRMM Microwave Imager has provided a nearly two-decade satellite remote sensing data set for studying climate change, and the legacy data processing is in progress and will be released in late 2017. During this reprocessing, it was discovered that the hot-load suffers an occasional transient solar intrusion, which resulted in a small systematic brightness temperature error. This paper describes...
SMAP and SMOS have been successfully providing L-band brightness temperature (Tb) since 2015 and 2011, respectively [1, 2]. Since both missions provide Low Earth Orbit observation at the same frequency, inter-calibration of brightness temperatures measured from these two missions leading to a consistent Tb record is critical in order to have consistent and reliable science datasets. For a radiometer,...
With the acceleration of China's modernization, soil erosion caused by illegal activities in production and construction projects is becoming serious. Timely and effective monitoring and supervision is necessary. Traditional monitoring methods have many shortcomings, such as long period, limited precision, limited terrain. So it can't demonstrate the real situation of the project construction area...
A horizontally inhomogeneous unified microwave radiative transfer (HI-UMRT) model based on nonspherical hydrometeor scattering is being developed at University of Colorado at Boulder to facilitate the forward radiative simulations of transmittivity and reflectivity over 3-dimensional inhomogeneous clouds in severe weather. The HI-UMRT model provides a 3-D radiative intensity solution by incorporating...
Fractional Vegetation Cover (FVC) describes the distribution and growing condition of vegetation on land surface ecosystem, and it could be estimated in regional and global scale with remote sensing techniques conveniently. The multispectral sensor equipped on China's GaoFen-4 (GF-4) geostationary satellite which was launched in December 2015 has a high spatial resolution of 50 m, thus makes it a...
This study aims at addressing misregistration issues between Landsat-8/OLI and Sentinel-2A/MSI at 30 m resolution using a phase correlation approach and multiple transformation functions. Phase correlation proved to be a robust approach that allowed us to identify hundreds and thousands of control points on images acquired more than 100 days apart. Overall, misregistration of up to 1.6 pixels at 30...
This paper presents a new method for extracting urban roadside trees automatically from mobile laser scanning point clouds. This method mainly includes three steps. First, ground point clouds are removed by voxel-based upward growing method. Second, Euclidean distance segment method is used to cluster non-ground point clouds into certain individual objects. Then crown seeds of the initial layer is...
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