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Cloud applications run on numerous servers and network elements. Complexity and heterogeneity of these elements make evaluation of application performance very challenging without invasive application-specific probe. We propose an anomaly detection system for Cloud application servers. Our system only collects ingress and egress data packet counts. We observe that when an application server is operating...
Human neuroimaging research aims to find mappings between brain activity and broad cognitive states. In particular, Functional Magnetic Resonance Imaging (fMRI) allows collecting information about activity in the brain in a non-invasive way. In this paper, we tackle the task of linking brain activity information from fMRI data with named entities expressed in functional neuroimaging literature. For...
The imminent end of Moore's Law demands increasing complexi-ty to enable continuing improvement in the cost and performance of electronic systems. Complex RTL designs lead to long simulation overheads, making it infeasible to explore large design spac-es. In this work, we present a flow of simulation tools for rapid, high-level, pre-RTL exploration to enable design-space exploration for physically-constrained...
In this paper, we investigate the hexagonal multicarrier faster-than-Nyquist (MFTN) signaling, which is considered to be a more promising technique than conventional rectangular MFTN in future communication systems. Specifically, different from previous works that mainly focused on the minimal Euclidean distance (or Mazo limit), we study the intersymbol interference (ISI) and/or intercarrier interference...
Deep multi-layer neural networks are generally trained using variants of the gradient descent based algorithm. However, this kind of algorithms usually encounter a series of shortcomings, such as low training efficiency, local minimum, difficult control parameter tuning, and gradient vanishing or exploding. Besides, for a specific application, how to design the structure of the network, that is, how...
This paper discusses the problem of angle estimation for bistatic multiple-input multiple-output (MIMO) radar in the presence of spatial colored noise. The spatial colored noise is eliminated by exploiting the temporal uncorrelated property. Thereafter, a propagator method is considered for joint direction of departure (DOD) and direction-of-arrival (DOA) estimation. The proposed method does not require...
In this paper, an adjustable microstrip slot antenna using graphene stacks is designed for terahertz applications. And the graphene stacks consist of graphene/Al2O3 sheets, which are embedded in the microstrip substrate of the proposed antenna. According to simulation result, the frequency resonant bandwidth and radiation of the novel antenna can be dynamically modulated under different chemical potential.
In this paper, a miniaturized, low-profile, self-actuated radome is designed for achieving field intensity dependent electromagnetic (EM) protection in a working frequency band. The radome is periodic with each unit loaded with four microwave diodes. The demension of the unit is in size of λ/12 and is ultrathin. A full-wave simulation is carried out for obtaining the transmission characteristic of...
This paper presents the development of the single side ironless Halbach permanent magnet linear synchronous motor (PMLSM) for a novel electromagnetic suspension (EMS) maglev vehicle. The basic structure of the propulsion motor and the vehicle are firstly described. Then the thrust and normal force of the ironless PMLSM are analyzed. The configuration of the propulsion system and field oriented control...
In this paper, a miniaturized self-actuated bandpass protection structure with filtering and limiting functions is presented. Based on energy low-pass mechanism, this protection structure is sensitive to the power density or field intensity of incident wave. The unit cell dimensions and periodicities are sub-wavelength which is in the order of λ/15. Mechanism of operation, structural design, and full-wave...
Underwater electrosense is bio-inspired by weakly electric fishes that use an electric field to see the objects in the water. Current studies on engineering electrosense focus on designing sophisticated sensors and algorithms for emulating biological functions including localization and identification. This work aimed to develop a planar sensor equipped with a dense electrode array that is capable...
The thrust and levitation force of the long stator linear synchronous motor (LSLSM) are key points to evaluate the performance of the maglev train. However, it is not easy to be achieved due to the non-linear and dynamic coupling characteristics between thrust and levitation force. In this paper, the finite element analysis model of long stator linear synchronous motor is built for analyzing the thrust...
Agricultural land is the basis and guarantee for the survival and development of human. How to take scientific and effective use of agricultural land is an urgent problem to be solved. The suitability assessment can provide a good answer to this question. In order to realize the scientific, reasonable and efficient use of agricultural land under the lack of information condition, we carry out research...
A hydrological sensor network is a comprehensive monitoring system which consists of varieties of hydrological stations. The spatial optimization of the deployment of these gauging stations is critical for obtaining hydrological information effectively, given that sensing resources are often limited. In this paper, we consider the hydrological station siting problem as a continuous location problem...
Most torque ripple reduction strategies for rotating motor are not suitable for long stator linear synchronous motor (LSLSM). In this paper, the electromagnetic force ripple reduction method for LSLSM based on the structure that the pole pitch of the mover (τm) is different from the pole pitch of the stator (τs) is analyzed. Both mathematical derivation and 2-D finite element method (FEM) are adopted...
The optimal allocation of land resources is a reliable guarantee for sustainable land use. As one of the least developed countries in the world with rich land resources, Laos needs scientific, reasonable and efficient use of land resources to promote the comprehensive development of economy and society. Considering that the spatial distribution of land resources is extremely uneven and the land use...
Precipitation stations and streamflow stations are important components of hydrological monitoring networks. To effectively obtain observation data, an optimal deployment of different hydrological stations should be established to maximize the spatial coverage and sensing capability given that such resources are often limited. By transforming this problem into a maximal covering location problem (MCLP),...
The feature matching and tracking of binocular vision inter-frame images have been divided into three parts in this paper. Before image feature extraction, an image binarization segmentation method based on HSV color space is used to extract the target in order to reduce the searching range of feature points and improve the matching efficiency. About feature matching, a modified ORB method combining...
This paper presents a rapid and efficient method which can extract line segments from readings of a 2D laser sensor on a mobile robot in a indoor environment. The method includes two algorithms. One algorithm is called Divide-Region which can divide the readings of laser sensor into several continuous region. The other is called Extract-Line-Segments which can extract line segments from the divided...
Dramatic growth of e-book sales revenue in recent years makes book recommendations essential to readers. Traditional bag-of-words models have difficulty of capturing the spatial information of terms over books. In this paper, a three-layer tree structure is used for representing each book. A framework, Tree2Vector, is designed for transforming tree-based book data into vectorial space. First, in order...
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