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A market-based control approach is presented for the control of power flow within an electric ship. The proposed control method consists of an artificial market in which various actors (a consumer and firms) behave according to microeconomic principles. Each piece of equipment within the engineering plant will behave as a firm, attempting to maximize its profit. The commanding officer will behave...
The rapid advances of transportation infrastructure have led to a dramatic increase in the demand for smart systems capable of monitoring traffic and street safety. Fundamental to these applications are a community-based evaluation platform and benchmark for object detection and multi-object tracking. To this end, we organize the AVSS2017 Challenge on Advanced Traffic Monitoring, in conjunction with...
Relationships among objects play a crucial role in image understanding. Despite the great success of deep learning techniques in recognizing individual objects, reasoning about the relationships among objects remains a challenging task. Previous methods often treat this as a classification problem, considering each type of relationship (e.g. ride) or each distinct visual phrase (e.g. person-ride-horse)...
Unmanned Aerial Vehicles (UAVs) have been widely used in many fields. But inside the room, it is difficult for the drone to perform the appointed task without the signal of satellite navigation system. Besides, wireless sensor networks (WSNs) have been widely used in various fields. But it cannot be centralized to process and maintain. Keeping in view the above shortcomings, a new method based on...
This paper explores the importance of detection and appearance features for multiple object tracking. Extensive detectors including hand-crafted methods and deep learning methods have been tested. We found in this paper that simply improving detection performance can lead to much better multiple object tracking results. The data association methods used in this paper are Kalman Filter and Hungarian...
Power transformer noise control is inevitable requirement of time in order to protect people's health and the environment. As the transformer noise is mainly concentrated in frequency below 1500 Hz so a more precise noise canceller is needed. Unlike other noise remotion scheme that fails below 500 Hz, adaptive filters utilization in ANC model accomplishment is most efficient. The following research...
Simulated mirror display systems (SMDs) provide augmented rendering of mirror images. Many SMDs use multiple static cameras to create viewpoint-dependent rendering. Unfortunately, the quality of the rendering around the face of the viewer is typically poor due to visual distortion from warping and camera view misalignment. We propose the RoboMirror SMD to provide high-quality mirror rendering of the...
In order to compensate the asymmetrical load currents by star-connected cascade STATCOM, a novel control strategy combining individual phase instantaneous control with zero-sequence voltage injection is proposed, which splits the whole STATCOM into three single phase STATCOMs and proper control strategy is implemented. Besides, an improved deadbeat current tracking method is also presented to improve...
The three-phase Power Electronic Load (PEL) simulation of the asynchronous motor operation can be the divided into AC sine wave drive mode, the inverter open-loop drive mode and the inverter closed-loop drive mode. The control strategy of these three kinds of working conditions is simple to complex, and has certain inheritance and progressive relations. In the AC sine wave drive condition, the discrete...
In this paper, a novel simulation method of the three-phase phase-controlled rectifier bridge load is proposed. This method is very important for power electronic load (PEL) to test the power quality. About this content, there are few articles mentioned. Through the detailed analysis of three-phase phase-controlled rectifier bridge characteristics, a kind of load simulation algorithm is proposed....
A piecewise and bi-recursive algorithm for computing high-order Krawtchouk moments is proposed in this paper. The algorithm firstly puts forward a bi-recursive method to simplify the computation of Krawtchouk polynomials, and then the process of iteration is separated into several sections to limit iterative times of transmission error. Several experiments are carried out to examine the algorithm...
Scene text recognition plays an important role in many applications such as video indexing and house number localization in maps. Recently, some feature learning methods have been proposed to handle this problem, which often exploit deep architectures with no more than 5 layers and relatively large receptive fields. Meanwhile, to avoid model overfitting, they generally take advantage of large amount...
A principle motivation for the development of early-stage shipboard power system simulation techniques is the need to perform time-domain simulation during the early design stage. In particular, there is a need to understand the performance of a candidate system during challenging situations involving dynamic load profiles and disruptive conditions in order to assess the system dependability. An early-stage...
Quantitatively analyze the characteristics of intraventricular flow is critical for the diagnosis of congenital heart disease (CHD). Although several techniques are applied in clinic currently, the information which they provided is not satisfied with the requirement of the therapies of CHD. Here, we introduced the method of computational fluid dynamics (CFD) to investigate the intraventricular hemodynamics...
In clouds, many applications need to distribute large data sets from the cloud's storage facility to all compute nodes as fast as possible, especially data-intensive parallel applications. Many multicast algorithms have been used for clusters and grid environments. In order to maximize available bandwidth and avoid bottleneck links, a common approach is to construct one or more spanning trees based...
Objective: To assess the feasibility and accuracy of Doppler audio-signal Processing system (DASPS) in noninvasive automatic estimation of pulmonary vascular resistance(PVR). Methods: PVR was estimated with DASPS in 32 children with left-to-right shunting congenital heart disease, compared with those estimated by Doppler echocardiography and cardiac catheterization. Results: PVR estimated by DASPS...
This study was to analyze the performance of fixed-point adaptive signal enhancer (ASE) for somsatosensory evoked potential (SEP) measurement. An animal study was conducted to evaluate the usefulness of this technique in detection of spinal cord injury. The ASE technique has been reported powerful to improve signal to noise ratio of SEP. Therefore, we proposed an integrated circuit module to perform...
Background: The estimation of pulmonary vascular resistance (PVR) is of important in the diagnosis, management, and prognosis of cardiac disease; however, Doppler estimation of PVR is still considered unreliable and clumsy. The goal of this study was to seek a new method for noninvasive estimation of PVR by velocity propagation (VP) within the main pulmonary artery from color M-mode Doppler imaging...
The objective of this paper is to assess the accuracy of audio signal Processing system in noninvasive automatic estimation of Pulmonary arterial pressure(PAP). Comparative studies among Doppler echocardiography, audio signal processing system (ASPS) and cardiac catheterization for predicting PAP have been done in 51 children with left-to-right shunting congenital heart disease. Estimated pulmonary...
Hemodynamic parameters of the pulmonary circulation are important reference factors in the diagnoses and treatments of children 's cardiovascular diseases. These parameters are usually measured by the cardiac catheterization. Recently several noninvasive methods have been proposed to estimate these parameters using the ultrasound technique. In order to execute the noninvasive estimation automatically,...
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