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This paper gives an overview on system architecture and function of electromagnetic interference on-site detection system. A special RF filter bank was designed to protect the system, and radio monitoring technology is used to locate the source of the on-site electromagnetic interference, and help improve the safety features of satellite system more actively.
Associating image regions with text queries has been recently explored as a new way to bridge visual and linguistic representations. A few pioneering approaches have been proposed based on recurrent neural language models trained generatively (e.g., generating captions), but achieving somewhat limited localization accuracy. To better address natural-language-based visual entity localization, we propose...
The “joint assignment” is a creative bachelor education project for Biomedical Engineering (BME) in Shanghai University (SHU), China. The objective of this project is to improve students' capabilities in design thinking and teamwork through practices in the process of the design and development of complex medical product. As the first step, a pilot project “design and development of intelligent nursing...
Biomedical Engineering (BME) bachelor education aims to train qualified engineers who devote themselves to addressing biological and medical problems by integrating the technological, medical and biological knowledge. Design thinking and teamwork with other disciplines are necessary for biomedical engineers. In the current biomedical engineering education system of Shanghai University (SHU), however,...
Apache Hadoop is a widely used distributed computing framework and its file system is Hadoop Distributed File System (HDFS), which assumes that DataNodes in a system are homogeneous in nature. When a cloud system scales up, DataNodes are very likely to become heterogeneous. Thus, extensive research has been placed on improving performance for heterogeneous Hadoop systems, but little attention has...
High current vacuum arcs are essentially metal vapor arcs, and the contact material has a directly impact on the vacuum arcs. The objective of this paper is to experimentally determine the anode spot threshold current subjected to axial magnetic fields for four pure metals in vacuum arcs. Four pure metals are W, Mo, Cr and Fe respectively, which covers a wide range of thermal and electrical parameters...
The objective of this paper is to compare the electron temperature and electron density in diffuse vacuum arc mode and anode spot mode. The experiment was based on the butt type copper electrodes, with contact diameter D=40mm, and gap distance g=10mm. The vacuum arc was ignited by a needle tungsten electrode, which was embedded in the cathode. A high-voltage pulse with a rise time of 8ns, and aptitude...
Apache Hadoop is a widely used distributed computing framework and its file system is Hadoop Distributed File System (HDFS), which assumes that DataNodes in a system are homogeneous in nature. When a cloud system scales up, DataNodes are very likely to become heterogeneous. Thus, extensive research has been placed on improving performance for heterogeneous Hadoop systems, but little attention has...
The paper presents a sketch-based image retrieval algorithm. One of the main challenges in sketch-based image retrieval (SBIR) is to measure the similarity between a sketch and an image in contour with high precision. To tackle this problem, we divided the contour of image into two types: the first is global contour, suggesting that we can use it to reduce the similarity between the images with complex...
The objective of this paper is to experimentally determine the influence of axial magnetic field (AMF) BAMF on the anode current density distribution in diffuse vacuum arcs. In the experiment, a split-anode and a butt type cathode were selected. Both electrodes have a contact diameter of 60 mm. The anode surface was divided into four regions: one central region (Area I) and three symmetrical-disposed...
The analysis of electroencephalogram (EEG) signal is a low-cost and effective technique to examine electrical activity of the brain and diagnose brain diseases in the Brain Computer Interface (BCI) applications. Classification of EEG signals is an important task in BCI applications. This paper investigates two common methods of feature extraction on EEG signals, autoregressive (AR) model and approximate...
Object detection systems based on the deep convolutional neural network (CNN) have recently made ground-breaking advances on several object detection benchmarks. While the features learned by these high-capacity neural networks are discriminative for categorization, inaccurate localization is still a major source of error for detection. Building upon high-capacity CNN architectures, we address the...
Safety at non-signalized intersections is of significant importance to transportation safety study due to the large number of such intersections in transportation network and the complexity of traffic movements at these locations also leads to large numbers of conflicts. This study designed a collision scenario by using driving simulator to investigate the drivers' behavior performance at non-signalized...
Understanding car-following behavior and which decisions drivers preferred to choose during car-following process are essential for driver safety. Drivers' reaction time as a key variable was analyzed in this paper, which may affect the collision results. Experiments based on driving simulator test were conducted and totally 47 participants were recruited. Three kinds of traffic flow density scenarios...
The decomposition based multiobjective evolutionary algorithm, denoted as MOEA/D, is an open framework for multiobjective optimization. This paper addresses the reproduction operation in MOEA/D. Generally, the solutions from a neighborhood of a subproblem are chosen as the mating pool for offspring reproduction. Since the Pareto set of an MOP shows some kind of structure in the decision space, the...
Quantification analysis of input/output current facilitates the optimal design of the interleaved PFC boost converter. This paper presents a method to calculate these currents both in switching cycle and mains half cycle for interleaved PFC AC/DC boost converter, which is valid for this converter with arbitrary number of phases operating at continuous conduction mode (CCM) and discontinuous conduction...
Changes in gait parameters have been shown to be an important indicator of several age-related cognitive and physical declines of older adults. In this paper we propose a method to monitor and analyze walking and cycling activities based on a triaxial accelerometer worn on one ankle. We use an algorithm that can (1) distinguish between static and dynamic functional activities, (2) detect walking and...
The ubiquity of smartphones and their capability to support complex data collection, processing and communications applications is leading to a revolution in personal healthcare. Always ‘on’ and carried, and seamlessly connected to multiple network technologies such as WiFi, Bluetooth, and cellular carrier, these devices can be adopted as hub for aggregating data sourced from custom body-worn sensors...
The development of functional activity monitors (FAMs) will allow rehabilitation researchers and clinicians to evaluate treatment efficacy, to monitor compliance to exercise instructions, and to provide real time feedback in the treatment of movement disorders during the performance of daily activities. The purpose of the present study was to develop and test a small sized wearable FAM system comprised...
The anti-seismic analysis of large-scale underground caverns is always a difficult issue. When explicit dynamic finite element method(FEM) is adopted to perform time history analysis towards large-scale underground caverns, the consuming time is considerable and thus lowers the efficiency of project analyzes. To enhance the solving speed of explicit dynamic FEM, the hybrid method is presented based...
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