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In order to study the Kinect and Unity3D combined with the deeper application, based on the use of Kinect to identify the body and made a new attempt for the binding of Unity3D. Using Kinect to get the dynamic behavior in the scene of the human body, to achieve control of the Unity object in the scene. Build the virtual scene in Unity3D platform. The test shows that the use of Kinect for human behavior...
A single-layer single-fed endfire antenna with circular polarization and unidirectional radiation for X-band applications is proposed. The design is based upon two complementary Yagi-Uda arrays and the series feeding technique. Simulated results confirm a usable bandwidth (the common overlapped bandwidth limited by the 3-dB AR and −10-dB |S11|) of 1.0% can be achieved. At 10 GHz, the gain is 7.23...
This paper addressed the retrieval of land surface temperature (LST) from combined mid-infrared and thermal infrared data of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-Orbiting Partnership (S-NPP). To efficiently remove the effect of the direct solar radiance, a relationship between direct solar radiance and water vapor content, view zenith angle and solar...
Many studies have focused on developing technology-assisted English vocabulary learning systems to improve English vocabulary learning performance because English vocabulary size critically affects reading fluency. Collaborative reading annotation systems have been verified the effectiveness of promoting reading performance because collaboratively annotating digital texts allows learners to add valued...
The Sequential Probability Ratio Test (SPRT) is a classical detector for problems with an unfixed sample size. Though it is optimal under some conditions, SPRT can be directly used only for a binary hypothesis with exactly known distributions. In this paper, sequential detection problem with an uncertain hypothesis distribution is considered, in which the uncertain distribution is formulated in a...
Detection with multiple distributions is considered. Rather than formulating the problem with multiple hypotheses, we formulate the problem in a binary hypothesis testing framework by a multiple model approach. Three classes of the Multi-Model Detection (MMD) problems are considered: simplex, compound, and mixture. Three concepts of optimality are given for these three problems, including Uniformly...
For highly nonlinear problems, the linear minimum mean-square error (LMMSE) estimation using a nonlinearly converted measurement can outperform the one using the original measurement. For a function space of measurement conversions, every function in the space can be represented as a linear combination of a basis of the space. Then the LMMSE estimator using a vector with its entries forming a basis...
A fault detection, identification, estimation and state estimation (FDIESE) problem involves joint decision and estimation (JDE). Decision contains detection and identification, while estimation is for fault severeness and system state. Both detection and identification are highly coupled with estimation and a fault is identified after detection. To solve this problem, an approach named nested joint...
For the over-the-horizon radar (OTHR) based target tracking, the reflecting height of the ionosphere, which reflects radar signals, is important. Existing methods assume that this height is exactly known a priori. In practice, however, we can only determine its range, not its specific value. To circumvent this problem, we propose to use a multiple-model approach in which each model corresponds to...
This paper studies and formulates the problem of distributed filtering with a diffusion strategy for state estimation of a dynamic system by using observations from sensors in a network. The sensor-nodes have estimation ability and work in a collaborative manner. The information transmission across the network abides by the diffusion strategy that each node communicates only with its neighbors. First,...
This paper proposes a new approach for constrained multiple model (MM) maximum a posteriori (MAP) estimation through the expectation-maximization (EM) method by using our previously developed constrained sequential list Viterbi algorithm (CSLVA). The approach is general and applicable for any type of constraints provided they are verifiable. Specific algorithms for implementation are designed, and...
Channel state information (CSI) has been recently shown to be useful in performing security attacks in public WiFi environments. By analyzing how CSI is affected by the finger motions, CSI-based attacks can effectively reconstruct text-based passwords and locking patterns. This paper presents WiGuard, a novel system to protect sensitive on-screen gestures in a public place. Our approach carefully...
This paper deals with the problem of estimating the state of a discrete-time stochastic linear system based on data collected from multiple sensors with limited communication resources. For the cases of transmitting measurements and local state estimates, respectively, we design data-driven communication schemes based on a normalized innovation vector and corresponding fusion rules in the (approximate)...
This paper addresses the shrinkage estimation problem of high-dimensional covariance matrices with low sample size data. A class of structured target matrices that include banding, thresholding, diagonal and block diagonal matrices is proposed, and an optimal oracle shrinkage coefficient is derived. To approximate the oracle estimator, an iterative method is presented and proved to be convergent....
Our newly proposed approach to extended object tracking (EOT) using extension deformation is simple and effective. This approach assumes that the extension of an object is deformed from an ellipsoidal reference extension, which unfortunately restricts its use for complex extensions. To overcome this weakness, this paper proposes that the current object extension be modeled as deformed from the one...
Evaluating the performance of multi-target tracking with respect to tracks rather than unlabeled estimated points is important and challenging. Existing approaches assume exact knowledge of the ground truth. However, this is far from the reality. This paper proposes a method to deal with the case of unknown ground truth by measuring the difference between mock tracks and the assumed targets in the...
Emission source localization and sensor registration using received signal strength (RSS) measurements is investigated. Previous studies for RSS localization assume that the sensors receiving signals are bias free, which is not the case in practice. This issue is taken into consideration in this paper for the localization problem. To avoid non-convexity of the global optimization problem for the traditional...
Mineral transformer oil has been widely used in the power transformers due to its good insulating property and thermal conductivity. It is well-known that water molecules in the oil have detrimental effect on its conduction and breakdown strength and tend to cause accelerated aging of oil and paper insulation system. The relation of the total amount of water to the electrical properties of oil has...
The uplink spectrum of cellular networks is often underutilized due to the asymmetric behavior of wireless data services. To enhance the efficiency, a full-duplex (FD) cellular system is proposed to reuse the uplink spectrum for concurrent uplink and downlink transmissions. By jointly designing transmit beamforming and power control, a weighted sum-interference power minimization problem is formulated...
The registration possibility of the excited states for impurity complexes A+ + e (acceptor with an additional hole, which interacts with an electron, localized in the quantum dot ground state) because of their contribution to the dielectric permeability of the semiconductor quasi-zero structure under intraband optical transitions of electrons in an external magnetic field, has been theoretically analyzed...
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