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Daily climate data observations from more than 3000 climate measurement sites in the continental U.S. were mined and analyzed to derive insights and trends from climate extreme indices. Daily climate data observations were aggregated by climate divisions and analyzed to derive a new climate extremes indices data set (Threshold Exceedence Frequency, TEF). Each climate division was statistically assessed...
Protein-protein interaction extraction research can be widely applied to the field of life science research. However, most of the machine learning based methods focus on binary PPI relation extraction, which loses rich relationship type information that is critical to the PPIs study. The rule based open information extraction methods can extract the PPI triple (i.e. “protein1, interaction word, protein2”),...
This paper considers vision-based adaptive tracking control of uncertain nonholonomic mobile robots. Due to nonholonomic constraint and lack of one dimensional information, this tracking problem becomes more challenging. With the employment of the backstepping technique, globally asymptotic convergence of the tracking errors can be established. Besides, no a priori knowledge is required on the bound...
After studying the node degree distribution and average path length of the kernel module call graphs of 223 Linux kernels (V1.1.0 to V2.4.35), we have found that the call graphs of the file system, drivers, kernel, and memory management modules are scale-free small-world complex networks that exhibit strong clustering tendency. Using the random error case and attack case methods, we investigated the...
Spectrum-based fault localization (SFL) is amongst the most promising methods. To further improve the effectiveness of traditional SFL methods, a novel approach is proposed in this paper for software fault localization by incorporating a failed execution slice (FES). The proposed method first calculates the suspiciousness scores of statements in the program under test using existing risk evaluation...
We suggest and demonstrate experimentally AlGaAs nanoantennas for efficient second-harmonic generation (SHG). We show that the SHG directionality and efficiency are defined by either electric or magnetic multipoles and controlled by incident polarization and design.
We employ the generalized Huygens principle to design and fabricate highly transparent dielectric metasurfaces for complex wavefront manipulation with 99% polarization conversion and 99% diffraction efficiencies and broadband operation at telecom wavelengths.
Because of the complexity of crude oil flow, identification of gas-liquid two-phase flow pattern has not been completely solved nowadays. This paper proposed a new classification method of gas-liquid two-phase flow patterns using the sound signals produced by the ball impacting on the valve wall with fluid movement in a non-return valve. A visual detection system of gas-liquid two-phase flow was built...
A method for detecting human motion in complex scenarios based on Channel State Information (CSI) is presented. First, the sensitivity of CSI phase information to human motion is explored, especially to the strenuous motion. Through a large number of experiments, the influence of human motion on CSI phase is found out, and the characteristics of signal changes are extracted. The One-class Support...
WiFi-based Human activity recognition has attracted attention in the human-computer interaction, smart homes, and security monitoring fields. We first construct a WiFi-based activity dataset, namely WiAR, to provide a benchmark for existing works. Then, we leverage the moving variance of CSI to detect the start and end of activity. Moreover, we present K-means-based subcarrier selection mechanism...
In order to make the ejector refrigeration system reach subzero refrigeration, the ejector structure is optimized in this paper. A two-stage ejector model in series with two ejectors is proposed. Comparing with traditional single ejector models, the two-stage ejector carries out a two boost of the secondary flow by connecting two ejectors in series. Using a water cooled condenser can also reduce the...
Recursive projection twin support vector machine (PTSVM) and Locality preserving projection twin support vector machine (LPPTSVM) are two extensions of traditional support vector machine (SVM). However, they may lead to a weak classifier in the application where some data points may not be fully assigned to one class. In this paper, we introduce the basic idea of fuzzy membership into LPPTSVM and...
In computer vision and multimedia search, it is common to use multiple descriptions from different views to represents an object. As one of the popular multi-view learning methods, Multi-view Linear Discriminant Analysis (MLDA) was proposed to maximize discrimination in each view and correlation between two views simultaneously through combining CCA and LDA. However, MLDA does not utilize the local...
Monitoring the evolution phases of real-time event including occurrence, development, climax, decline and ending is crucial for management department to intuitively and comprehensively understand the event and then make better decisions. However, there have been very few studies on performing phase evolution analysis of event using the number of posts at the specific time unit. The challenge of this...
Due to the new characteristics of ultra-dense networks (UDN), such as high dense deployment of wireless access points (APs), complicated handover signaling processes and irregular coverage, how to achieve mobility support and reduce user's interrupt ratio remain a difficult problem. To address these issues, based on the presented user-centric APs clustering (UCC) network architecture in UDN, a UCC...
Buildings are important places and parts in the society. The conventional power supply of a building is AC power from the utility grid. As the growing penetration of renewable energy source and DC loads, it becomes practical and common for a building supplied by the distributed generators with DC power. Considering this unprecedented transition from the conventional AC building to the hybrid AC/DC...
Due to the openness of the physical layer, the physical layer security has been widely discussed. It is considered as an effective way to improve the secrecy rate that we add artificial noise to D2D communications underlaying cellular networks. Compared to previous studies, in this paper we not only think of the situation where artificial noise is added to the original communication signal between...
With the increasing of mobile devices, Device-to-Device(D2D) communication is considered as a promising technology for achieving direct communication of devices. But the security issues still remain to be solved. In this paper, We utilize D2D communication between UEs in proximity to share epidemic media contents. We propose a Secure Content Sharing Protocol(SCSP) that combine with the credibility...
In this paper, we use the combination of graph theory and consensus algorithm to realize the formation control of nonholonomic wheeled robots. A novel edge-weight function is designed so that the desired formation-shape can be achieved. In addition, the consensus problem is usually solved on the assumption that the robots are modeled as particle model, but this assumption is not suitable when we are...
In this paper, a new structure and the coordinated control method of a delta connected static var compensator (SVC) based hybrid active power filter (SVC-HAPF) for reactive current, harmonic current and unbalanced current compensation are proposed. The proposed delta-connected SVC-HAPF has the desirable characteristics of wide compensation range with low voltage/current rating requirement in the active...
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