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Multiband EEG-EMG Bidirectional Coupling Analysis Based on Cortico-Muscular Coherence 基于皮质-肌肉相干的多波段脑电图-肌电图双向耦合分析
Q4 Engineering Pub Date : 2017-10-01 DOI: 10.3969/J.ISSN.1004-1699.2017.10.002
Yunyuan Gao, Leilei Ren, Yingchun Zhang, Qingshan She, Yuliang Ma, Qizhong Zhang
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引用次数: 0
Design and Analysis of Secure Routing Protocol for Wireless Sensor Networks 无线传感器网络安全路由协议的设计与分析
Q4 Engineering Pub Date : 2017-09-01 DOI: 10.1088/1757-899X/242/1/012092
Jiong Wang, Hua Zhang
In recent years, with the development of science and technology and the progress of the times, China's wireless network technology has become increasingly prosperous and it plays an important role in social production and life. In this context, in order to further to enhance the stability of wireless network data transmission and security enhancements, the staff need to focus on routing security and carry out related work. Based on this, this paper analyzes the design of wireless sensor based on secure routing protocol.
近年来,随着科学技术的发展和时代的进步,中国的无线网络技术日益繁荣,在社会生产生活中发挥着重要作用。在此背景下,为了进一步提高无线网络数据传输的稳定性和安全性增强,工作人员需要重点关注路由安全并开展相关工作。在此基础上,本文分析了基于安全路由协议的无线传感器的设计。
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引用次数: 3
A Routing Algorithm for Wsns Based on Uneven Clustering and Entropy Theory 基于非均匀聚类和熵理论的Wsns路由算法
Q4 Engineering Pub Date : 2015-12-01 DOI: 10.3969/J.ISSN.1004-1699.2015.12.023
Jia Liu, Shurui Fan, Yanping Liu, Jianlong Liu, Mingsha Peng, H. Guo
An energy efficient routing algorithm is the major concern in wireless sensor networks(WSNs),especial-ly the hot spot,because of unbalanced energy consumption. Based on uneven clustering and entropy theory,a kindof improved routing algorithm is proposed for solving that problem. In the process of cluster head election and com-petition radius calculation,node energy,density and distance to BS are considered to effectively balance energy con-sumption and prolong the life cycle of cluster head nodes. Meanwhile the hybrid rules of single-hop and multi-hoprouting is adopted to reduce the energy consumption among clusters. Introducing fusion weight coefficient,informa-tion entropy mechanism is used for reducing the uncertainty and improving the efficiency of data fusion. Simulationresults show that compared with LEACH,EEUC and EBUCA,the new algorithm can balance energy consumptionand prolong the life cycle of wireless sensor networks.
由于无线传感器网络的能量消耗不均衡,高效节能的路由算法一直是无线传感器网络,尤其是热点网络的研究热点。基于非均匀聚类和熵理论,提出了一种改进的路由算法。在簇头选举和竞争半径计算过程中,考虑了节点能量、密度和到BS的距离,有效地平衡了簇头节点的能量消耗,延长了簇头节点的生命周期。同时,采用单跳和多跳路由混合规则,降低集群间的能量消耗。引入融合权重系数,利用信息熵机制降低数据融合的不确定性,提高融合效率。仿真结果表明,与LEACH、EEUC和EBUCA算法相比,该算法能够平衡无线传感器网络的能量消耗,延长网络的生命周期。
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引用次数: 1
Study on void fraction distribution of plunging jet experiment with wire mesh sensor 利用金属丝网传感器研究俯冲射流实验中空隙率的分布
Q4 Engineering Pub Date : 2015-07-01 DOI: 10.3969/J.ISSN.1004-1699.2015.07.012
Xingtao Wang, Fang-Chao Tian, Jascha Eisemberg, H. Prasser
The plunging jet is a phenomenon of two phase gas-liquid flow, which could be an effective method to sufficiently mix boric acid with de-ionized water, and is suitable for studying the Pressurized Thermal Shock (PTS) accident scenario of Pressurized Water Reactors(PWR). The air is entrained when the liquid jet hits the water surface, which generates bubbles during the air entrainment. This bubble entrainment has a crucial influence on the mixing process. The distribution of void fraction was studied in dependence of the jet length and flow rate. A movable three-layer Wire Mesh Sensor (WMS) is designed to measure sequences of instantaneous two-dimensional gas fractions with a high-resolution in space and time, which, from the data, derives the void fraction distributions. Comparisons of average void fraction are carried out with different jet lengths and flow rates.
俯冲射流是一种气液两相流动现象,是将硼酸与去离子水充分混合的有效方法,适用于压水堆(PWR)加压热冲击(PTS)事故场景的研究。当液体射流撞击水面时,空气被夹带,在夹带空气的过程中,水面产生气泡。气泡夹带对混合过程有重要的影响。研究了射流长度和射流流量对孔隙率分布的影响。设计了一种可移动的三层金属丝网传感器(WMS),用于测量瞬时二维气体组分序列,该传感器具有高分辨率的空间和时间,并从数据中导出空隙率分布。对比了不同射流长度和不同流量下的平均空隙率。
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引用次数: 0
The implementation of a division cluster scheduling algorithm 实现了一种除法集群调度算法
Q4 Engineering Pub Date : 2015-07-01 DOI: 10.3969/j.issn.1004-1699.2015.07.022
Miaomiao Ren, Shurui Fan, Yue Wang
As a typical resource constrained system,Wireless Sensor Network (WSN) can be significantly improved the performance of guarantee quality of service (QoS) by effective resource allocation,including channel and time slot. But the structure is not fixed in smart medical system,which can lead to the uncertainty service quality. A non-balanced cluster tree structure is present for overcoming the collision and uncertain delay,taking into account the allocation of traffic. The resource parameter is implemented in TinyOS system,which be verified by CC2530 platform. And Graphical User Interface is designed for modifying data flow parameters and inspecting scheduling results. The experimental results show that this cluster tree scheduling algorithm can ensure the non-balanced structure of network quality,and provide the effective service guarantee for large-scale cluster tree network.
无线传感器网络作为一种典型的资源约束系统,通过对信道和时隙等资源的有效分配,可以显著提高其服务质量保证性能。但在智能医疗系统中,结构不是固定的,会导致服务质量的不确定性。在考虑流量分配的情况下,提出了一种克服碰撞和不确定延迟的非平衡簇树结构。该资源参数在TinyOS系统上实现,并在CC2530平台上进行了验证。并设计了图形用户界面,用于修改数据流参数和检查调度结果。实验结果表明,该算法能够保证网络质量结构不均衡,为大规模集群树网络提供有效的服务保障。
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引用次数: 0
Balanced rate area coverage algorithm 均衡速率区域覆盖算法
Q4 Engineering Pub Date : 2015-01-01 DOI: 10.3969/J.ISSN.1004-1699.2015.04.021
N. Qin, J. Chen, Zhiguo Ding
In order to maximize lifetime of Wireless Sensor Networks( WSNs),a balanced rate area coverage algorithm( BRACA) is presented,which aims at the problem of energy uniformity and balanced coverage. This algorithm introduces the idea of balanced coverage rate. And it considers the sensors' balance about target area coverage rate and the residual energy as filtering factors. By adjusting the ratio of sensor's residual energy to its average coverage rate,we can find a sensor subset with maximum uncorrelation and minimum cost,which achieves area coverage using nodes as few as possible. Experimental results show that BRACA has better computational efficiency. The e-coverage sensor subset can prolong network lifetime effectively due to consuming the less and balanced energy in the premise of ensuring the network coverage of no less than 90% in the WSNs.
为了使无线传感器网络(WSNs)的寿命最大化,提出了一种平衡速率区域覆盖算法(BRACA),以解决能量均匀性和平衡覆盖问题。该算法引入了均衡覆盖率的思想。并考虑了传感器对目标面积覆盖率的平衡和剩余能量作为滤波因素。通过调整传感器剩余能量与其平均覆盖率的比值,我们可以找到一个最大不相关和最小成本的传感器子集,以尽可能少的节点实现区域覆盖。实验结果表明,BRACA具有较好的计算效率。在保证wsn网络覆盖率不小于90%的前提下,e-coverage传感器子集消耗的能量较少且均衡,可以有效延长网络寿命。
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引用次数: 2
Modeling and Experimental Research About a New Type of Vehicle Active Suspension Electromagnetic Actuator 一种新型汽车主动悬架电磁作动器的建模与实验研究
Q4 Engineering Pub Date : 2013-01-01 DOI: 10.1007/978-3-642-33738-3_23
L. Fei, Hu Chaoqun
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引用次数: 1
Breast Mass Segmentation Using Iterated Graph Cuts Based on Multi-Scale Smoothing 基于多尺度平滑的迭代图割乳房质量分割
Q4 Engineering Pub Date : 2011-10-01 DOI: 10.3969/J.ISSN.1004-1699.2011.10.002
Xiangying Wu, Weidong Xu, Lihua Li, Wei Liu, Juan Zhang, G. Shao, B. Zheng
A novel scheme for mass segmentation in mammography is proposed,which is based on Graph Cuts algorithm and multi-scale analysis.Mammogram is segmented by statistical region merging firstly,and the obtained rough contour is used as the initial contour for Graph Cuts segmentation.In iterative optimization stage of the algorithm,multi-scale analysis method is introduced to estimate the Gaussian Mixture Model(GMM)parameters with pyramidal decomposing serial images instead of fix-scale original image.The algorithm estimates GMM parameters rapidly with fewer samples by utilizing the complementarities between segmentation accuracy of fine scale and segmentation easiness of coarse scale.In order to improve efficiency of the proposed approach,watershed algorithm is utilized to produce a region adjacency graph,replacing pixel adjacency graph with fewer samples.The proposed method,interactive Graph Cuts and GrabCut were simultaneously applied for mass segmentation on 110 mammographic ROIs,and the achieved average ratios of misclassification error are 1.57,3.46 and 5.01 respectively.The results demonstrate that the proposed method achieves a better performance in accuracy and robustness.
提出了一种基于图割算法和多尺度分析的乳房x线图像质量分割方法。首先通过统计区域合并对乳房x线进行分割,得到的粗轮廓作为初始轮廓进行Graph Cuts分割。在算法的迭代优化阶段,引入多尺度分析法,用金字塔分解序列图像代替固定尺度原始图像估计高斯混合模型(GMM)参数。该算法利用细尺度分割精度和粗尺度分割难易性的互补性,以较少的样本量快速估计出GMM参数。为了提高算法的效率,采用分水岭算法生成区域邻接图,用更少的样本代替像素邻接图。将所提出的方法与交互式Graph Cuts和GrabCut同时应用于110个乳腺x线图像roi的质量分割,实现的平均误分类错误率分别为1.57、3.46和5.01。结果表明,该方法在精度和鲁棒性方面都取得了较好的效果。
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引用次数: 2
Study of the Minimum Spanning Hyper-Tree Routing Algorithm in Wireless Sensor Networks 无线传感器网络中最小生成超树路由算法研究
Q4 Engineering Pub Date : 2007-01-01 DOI: 10.1049/CP:20070129
Sun Yu-geng
Designing energy-efficient routing protocols to effectively increase the networks lifetime and provide the robust network service is the important problem in the research of wireless sensor networks.Using the hypergraph theory,the paper represents the large-scale wireless sensor networks into the hypergraph model,which can effectively decrease the control messages in routing process.Based on the hypergraph model,the paper presents the minimum spanning hyper-tree routing algorithm in synchronous wireless sensor networks(MSHT-SN),which builds a minimum energy consumption tree for data collection.The validity of the algorithm is proved by the theatrical analysis.And the simulation presents the MSHT-SN algorithm is better than traditional shorting path tree routing algorithm.It can increase the transmitting success rate and effectively save the scarce energy.
设计节能的路由协议,有效地延长网络的生存期,提供鲁棒的网络服务,是无线传感器网络研究中的重要问题。利用超图理论,将大规模无线传感器网络表示为超图模型,可以有效地减少路由过程中的控制消息。基于超图模型,提出了同步无线传感器网络中最小生成超树路由算法(MSHT-SN),该算法为数据采集构建了最小能耗树。剧场分析证明了该算法的有效性。仿真结果表明,MSHT-SN算法优于传统的短路径树路由算法。它可以提高传输成功率,有效地节省稀缺的能源。
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引用次数: 1
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