虚拟计算环境中的DHT拓扑构建技术研究综述

基于互联网的虚拟计算环境(iVCE)是一种新型网络计算平台.互联网资源的成长性、自治性和多样性等自然特性给iVCE中的资源共享带来巨大的挑战.DHT覆盖网(简称DHT)具有可扩展、延迟低、可靠性高等优点,是iVCE实现资源有效共享的重要途径之一.拓扑构建是DHT的基础性关键技术,实现了DHT的动态维护与消息路由等基本功能.本文首先概述传统DHT的拓扑构建技术,主要包括各种典型DHT的动态维护机制与消息路由算法、支持复杂查询的DHT索引构建技术,以及支持管理域匹配的DHT分组构建技术等;进而针对互联网资源的特点,综述在iVCE中DHT拓扑构建技术的最新研究进展.本文在最后对DHT拓扑构建技术的未来发展方向进行探讨.     

基于S3C4510B的ARM开发平台

随着计算机技术、微电子技术和网络技术的迅速发展,嵌入式系统在各个领域得到了广泛的应用。ARM处理器是目前公认的业界领先的32位嵌入式RISC微处理器,已成为许多行业嵌入式解决方案的RISC标准。文章首先介绍了S3C2410B芯片的工作机制,然后介绍了基于S3C2410B芯片的ARM开发平台-S3C2410B开发板。该平台功能强大,适合用来作为开发高性能手持式以及便携式智能设备或终端。     

Structural health monitoring by using a sparse coding-based deep learning algorithm with wireless sensor networks

Structural health monitoring has received remarkable attention due to the arising structural safety problems. Most of these structural health problems are accumulative damages such as slight changes in structural deformations which are very hard to be detected. In addition, the complexity of real structure and environmental noises make structural health monitoring more difficult. Existing methods largely use various types of sensors to collect useful parameters and then train a machine learning model to diagnose damage level and location, in which a large amount of training data are needed for the model training, while the labeled data are rare in the real world. To overcome this problem, sparse coding is employed in this paper to achieve structural health monitoring of a bridge equipped with a wireless sensor network, so that a large amount of unlabeled examples can be used to train a feature extractor based on the sparse coding algorithm. Features learned from sparse coding are then used to train a neural network classifier to distinguish different statuses of the bridge. Experimental results show the sparse coding-based deep learning algorithm achieves higher accuracy for structural health monitoring under the same level of environmental noises, compared with some existing methods.     

Location-Dependent Lane-Changing Behavior for Arterial Road Traffic

Lane-changing behavior plays an important role in characterizing urban arterial road traffic dynamics. This paper investigates efficiency-driven and objective-driven motives for drivers to change lanes on arterial roads. The former motive is determined by the circumstances of the surrounding traffic flow, whereas the latter depends on position. A location-dependent lane changing model is then established by weighing the two motives for lane changing. Both continuous and discrete versions of the arterial traffic model are obtained using the LWR (Lighthill–Whitham–Richards) model with the two types of lane changing. Simulations show that the proposed model can reproduce macroscopic traffic phenomena such as spillover and a decrease in the concomitant departure flow, which is the reason for capacity loss. It is concluded that 1) there exists a critical condition under which there is no capacity loss and that 2) a different flow composition could result in a different capacity loss, which varies according to the flow direction. Hence, traffic management and control should take this loss into account.     

Square-root unscented Kalman filtering-based localization and tracking in the Internet of Things

The Internet of Things (IoT), which is usually established over architectures of wireless sensor networks, provides an actual platform for various applications of personal and ubiquitous computing. Recently, moving target localization and tracking in an IoT environment have been paid more and more attention. This paper proposes a square-root unscented Kalman filtering (SR-UKF)-based algorithm to discover real-time location of a moving target in an IoT environment where there exist quantities of sensors. The data generated from wireless sensor nodes of the IoT make contributions to localization and tracking of the moving target. First, a least-square (LS) criterion-based mathematical model is proposed for localization initialization in an IoT scenario. Next, we employ an SR-UKF idea for the further localization and tracking. By using the data coming from sensor nodes near the target, real-time location of the moving target can be estimated by implementation of SR-UKF in an iterative fashion so as to achieve target status tracking. Simulation results show that the proposed algorithm achieves good performance in estimation of both position and velocity of the target with either uniform linear motion or variable-speed curve motion. Compared with some existing conventional extended Kalman filtering (EKF) or UKF-based methods, the proposed algorithm shows lower location/velocity estimation error under the same computational complexity, which demonstrates its potential significance in ubiquitous computing applications for an IoT environment.     

High bit density (100 Mb/cm2) with single-layer Co-Crmedia and ring heads in perpendicular magnetic recording

The signal and noise of single-layer Co₇₉Cr₂₁ media are measured with ring heads to estimate the area density that can be achieved. Densities as high as 100 Mb/cm² (1 μm²/bit) are expected when a signal-to-noise ratio sufficient for an error probability less than 10 ^-5 is required. As a comparison, densities estimated from data from metal-evaporated tape and CrO₂ tape are given. In the frequency response of the single-layer media, an additional minimum was observed for a wavelength slightly larger than the gap length. This is probably caused by the bipolar nature of the perpendicular recording field of a ring head     

Optimisation of the medium composition for production of protease and soybean peptides by Bacillus subtilis SHZ using response surface methodology

Responses surface methodology was employed to enhance the production of protease and soybean peptides by Bacillus subtilis SHZ. For screening of medium composition significantly influencing protease and soybean peptides yield, the two-level Plackett–Burman design was used. Among thirteen variables tested; KH₂PO₄, glucose and defatted soybean flour (DSF) were selected based on their high significant effect on both protease activity and soybean peptides yield. Then, a three-level Box–Behnken design was employed to optimise the medium composition for the production of the protease and soybean peptides in submerged fermentation. Mathematical models were then developed to show the effect of each medium composition and their interactions on the production of protease and soybean peptides. The model estimated that, the maximal protease activity (320 ± 1 U mL⁻¹) could be obtained when the concentrations of glucose, KH₂PO₄, DSF were set at 8–9 g L⁻¹, 2–3 g L⁻¹, 55–65 g L⁻¹, respectively; while a maximal yield of soybean peptides (8.5 ± 0.1 g L⁻¹) could be achieved when the concentrations of glucose, KH₂PO₄, DSF were set at 7–9 g L⁻¹, 3–4 g L⁻¹ and 55–58 g L⁻¹, respectively. These predicted values were also verified by validation experiments.     

Tb doped CoNbZr soft magnetic films with high anisotropy field for applications in GHz frequency region

CoNbZr films for an adjustable magnetic anisotropy field H_k by doping with rare-earth of different atomic ratio Tb element were obtained in this work. The effect of Tb addition ranged from 0 to 4 at.% on the magnetic properties of the amorphous CoNbZr films was further investigated. The results show that the magnetic anisotropy field H_k increases sharply with the addition of Tb while the coercivity H_ch along the hard axis and H_ce along the easy axis change slightly with increasing Tb content in the films. As a consequence, CoNbZr film doped with 2 at.% of Tb exhibits excellent soft magnetic properties with a saturation magnetization 4πM_s of 8.9 kG, a hard axis coercivity H_ch of 1.79 Oe, a easy axis coercivity H_ce of 1.4 Oe and a magnetic anisotropy field H_k of 87 Oe. The measured ferromagnetic resonance frequency f_FMR of this film is 2.30 GHz. The real permeability μ′ is about 100, which is maintained up to 2 GHz. In addition, there is a broad band of the imaginary permeability μ″ over a large frequency band, indicating high losses. Therefore, Tb doped CoNbZr film is an excellent candidate for high frequency applications such as electromagnetic interference suppressors.     

一类稀疏效应下捕食模型正平衡态解的稳定性

考虑了一类齐次Neumann边界条件下具稀疏效应和扩散的捕食者-食饵模型，通过建立适当的Lyapunov函数得到其唯一的正平衡态解的全局渐近稳定性．