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Due to the sparse distribution of road video surveillance cameras, precise trajectory tracking for hit-and-run vehicles remains a challenging task. Previous research on vehicle trajectory recovery mostly focuses on recovering trajectory with low-sampling-rate GPS coordinates by retrieving road traffic flow patterns from collected GPS information. However, to the best of our knowledge, none of them...
Bacterial small non-coding RNAs (sRNAs) play important roles in various physiological processes, and predicting sRNAs is an important task. In this paper, we develop a computational method for the sRNA prediction by using sRNA sequence-derived features. We investigate a variety of sRNA sequence-derived features, and evaluate the usefulness of features for the sRNA prediction. Then, we develop the...
Recent studies show that drug-disease associations provide important information for drug discovery and drug repositioning. Wet experimental identification of drug-disease associations is time-consuming and labor-intensive. Therefore, the development of computational methods that predict drug-disease associations is an urgent task. In this paper, we propose a novel computational method named NTSIM,...
As an important part of power system, distribution line directly affects the stability and reliability of power supply. However, the distribution line is easy to be affected by the environmental conditions, in which the lightning-induced voltage is the main factor causing the lightning fault of overhead distribution lines. In this paper, the Agrawal model is selected and the FDTD algorithm is used...
In order to improve reconnaissance and detection capabilities better in the vehicle combat, this paper presents a new evaluation index. And based the index, this paper presents a multi-objective optimization model for sensor network deployment of vehicle units. In this paper uses the NSGA-II to solve this problem and given the algorithm flow. In the end, we prove the effectiveness of this method by...
The alterations of brain structures and functions have been considered closely correlated to the change of cognitive performance due to neurodegenerative diseases such as Alzheimer’s disease. In this paper, we introduce a variational framework to compute the optimal transformation (OT) in 3D space and propose a univariate neuroimaging index based on OT to measure such alterations. We compute the OT...
In this paper, one fast method for analyzing printed circuits based on matrix high-dimensional interpolation schemes has been presented. By virtual of the bi-interpolation on the plane of the frequency direction and the dielectric constant direction, the proposed method can greatly reduce the global time consuming of matrix fillings, and it can greatly improve the efficiency of multi-parameter scanning...
Most of the disabled spacecraft are spun, which are dangerous to other normal work spacecraft. Therefore, the disabled spacecraft need to be cleared and the first step is de-tumbling its angular velocity to an acceptable value. This paper investigates the dynamics and controller design of electromagnetic de-tumbling, analyzes the effects of the Earth's magnetic field, the inclination and the orbit...
Assist gases, including combustion-supporting gas and shielding gas, can greatly affect laser drilling process and drilled hole quality. In this study, oxygen and argon were used for assisting pulsed laser drilling of nickel-based superalloy plates. Influential mechanisms for oxygen and argon on pulsed laser drilling processes were discussed. Effects of oxygen and argon on drilled microhole entry,...
In this paper, we are concerned with the performance output reference signal tracking for a heat equation with matched boundary disturbance. Firstly, we construct a state reference trajectory system based on the reference signal, and prove this observer system is bounded. Secondly, we design a performance output tracking controller, which can make the performance output is tracking the reference signal...
A novel approach to estimate rotor position of a dual three-phase permanent magnet synchronous motor (PMSM) at low speed is investigated in this paper. A position estimation algorithm is developed in two dimensional nature static frame. Proposed algorithm exploits the transient response of line currents, which are integrated within fundamental PWM cycle to estimate rotor position and speed. For successful...
The rapid development of Internet technology has ushered in the era of information overload. How to pick out information with excellent quality and reduce unnecessary browsing time is a problem to be solved urgently. In order to recommend information that users might be interested in, this paper presents a new personalized recommendation algorithm with the quality of service (QoS) constraints based...
Recent embedded ReRAM has a small resistance-ratio (R-ratio), which results in a small read sensing margin (ISM). A larger BL current (IBL) increases the input offset (IOS) of current-mode sense amplifiers (CSA), resulting in low-yield read operations and long read access times (TCD). This work proposes an IBL-aware small-IOS CSA, using a dynamic trip-point-mismatch sampling (DTPMS) scheme to increase...
Due to the sparse distribution of road video surveillance cameras, precise trajectory tracking for vehicles remains a challenging task. To the best of our knowledge, none of the previous research considered using on-road taxicabs as mobile video surveillance cameras and road traffic flow patterns, therefore not suitable for recovering trajectories of vehicles. With this insight, we model the travel...
We study the denoising performance of several graph wavelet filter banks and image modeling with graph to enhance understanding of the relationship between graph signals and underlying structure. We design a new metric for measuring graph structure similarity (GSSIM) to evaluate those methods. GSSIM is positively related to PSNR as an index of corrupted signal with an additive Gaussian noise in the...
In order to improve the preclinical diagnose of Alzheimer's disease (AD), there is a great deal of interest in analyzing the AD related brain structural changes with magnetic resonance image (MRI) analyses. As the major features, variation of the structural connectivity and the cortical surface morphometry provide different views of structural changes to determine whether AD is present on presymptomatic...
The performance of an ANC system largely depends on the availability of an accurate secondary path model. This is however a major challenge in multichannel ANC where the computational complexity increases significantly with the number of secondary sources and error sensors. This paper proposes wave-domain adaptive processing algorithm for multichannel ANC with online secondary modelling to cancel...
While fast switching brings many benefits, it also presents unwanted ringing during switching transient. In this paper, an increasing magnitude ringing phenomenon is observed during the MOSFET turn-off transient. The unusual phenomenon is replicated in simulation and it is found the MOSFET channel is turned on again after it is turned off. The major cause to this unexpected turn on is found to be...
This paper presented a practical electromagnetic absorber design with periodic cells based on the well-known Salisbury screens. The unit cell has a size of 20cm × 20cm (7λ at the resonance frequency, 11 GHz) and a thickness of 20μm conductive ink. The return loss at the resonance frequency is up to 34 dB, which has a 3.5 GHz in bandwidth at the threshold of 10 dB. The frequency bandwidth is achieved...
Due to the need of indoor emergency rescue for earthquake disasters, we propose the iPOST (Indoor Post-Earthquake Corridor Obstacle Assessment System) to determine the obstacles in the corridors after earthquakes. Before an earthquake hits, a pre-earthquake image is used to segment its corresponding floor area for determining the presence of obstacles. After an earthquake, the pre-earthquake and post-earthquake...
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