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2013 IEEE Third International Conference on Information Science and Technology (ICIST)最新文献

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Optimal power and number of cooperation node in cooperative spectrum sensing 协同频谱感知中最优合作节点功率和数目
Xian Zhang, Z. Yun
In a cognitive radio network, cooperative spectrum sensing can improve the accuracy of spectrum sensing and alleviate the hidden terminal problem. Cooperative spectrum sensing frame has three phases: sensing phase, cooperation phase and transmission phase. In this paper, we investigate the problem of designing the power and number of cooperative node (CN) in the cooperation phase to maximize the average throughput for secondary user (SU), under the constraint that the total cooperation and transmission power is fixed. Then, we investigate the optimal CN power or number when CN power, which yield to the maximum average throughput for SU.
在认知无线电网络中,协同频谱感知可以提高频谱感知的精度,缓解终端隐藏问题。协同频谱感知框架有三个阶段:感知阶段、合作阶段和传输阶段。本文研究了在总协作和传输功率一定的约束下,为使辅助用户(SU)的平均吞吐量最大化,在协作阶段设计合作节点(CN)的功率和个数的问题。然后,我们研究了当CN功率达到最大平均吞吐量时的最优CN功率或数。
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引用次数: 0
Framework and development trend of smart home system based on IDSS 基于IDSS的智能家居系统框架及发展趋势
Biyuan Zhong, Yanni Hu
With the higher living standard, people have more and more requirements for smart home system. Accordingly, it is necessary to improve the intelligence of the system. The study firstly introduces the current situation of the smart home market, and analyzes the functions of the smart home system. Then, after discussing the advantages of IDSS (Intelligent Decision Support System), the study proposes an IDSS-based smart home system, and elaborates its operation processes. In the end, attempting to give the direction of its optimization, the study draws a future picture of the smart home system, such as standardization and combining with cloud technology.
随着生活水平的提高,人们对智能家居系统的要求也越来越高。因此,有必要提高系统的智能化。本研究首先介绍了智能家居市场的现状,分析了智能家居系统的功能。然后,在讨论了IDSS (Intelligent Decision Support System,智能决策支持系统)的优势后,提出了一种基于IDSS的智能家居系统,并详细阐述了其运行流程。最后,试图给出其优化的方向,描绘出智能家居系统的未来图景,如标准化和与云技术的结合。
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引用次数: 2
Face recognition based on neural network ensemble and feature fusion 基于神经网络集成和特征融合的人脸识别
Jiwen Dong, Lei Zhao, Liang Zhang
In this paper, a fusion of multiple features method based on integrated neural network was proposed. Firstly, KPCA algorithm was used to extract the overall recognition features. Then, the KICA algorithm was used to extract the local features. Finally, the BP and PNN neural network were used to recognize the result of the both algorithms. The method solved the interference caused by the external factors and got high correct rate of classification.
提出了一种基于集成神经网络的多特征融合方法。首先,利用KPCA算法提取整体识别特征;然后,利用KICA算法提取局部特征;最后,利用BP和PNN神经网络对两种算法的结果进行识别。该方法解决了外界因素的干扰,分类正确率高。
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引用次数: 1
CET: Clustering Extension Table research in multi-tenant database for SaaS applications CET:用于SaaS应用程序的多租户数据库中的集群扩展表研究
Lei Qiu, Yongqing Zheng, Yuliang Shi, Chengliang Sang
Microsoft's ET (extension table) approach makes the data model arbitrarily extensible while retaining the cost benefits of using a shared database. But it adds complexity for database querying and updating. We improve it and propose CET (Clustering Extension Table). There are several tables in CET, including BT (Basic Table), CT (Clustering Table), CMT (Metadata Table for CT), ET (Extension Table) and EMT (Metadata Table for ET). The similarity of tenants is adopted to cluster them into different groups. In the group, some data in the basic table and extension table is transformed and consolidated together into the CT (Clustering Table). In one group, CT extracts the common similarity of the tenants in the group to avoid the complexity of using ET. Then SER (Schema Efficiency Ratio) and DER (Data Efficiency Ratio) are described to control tenants' adscription into their groups. Experiments are also conducted to show the improvement of ET.
Microsoft的ET(扩展表)方法使数据模型可以任意扩展,同时保留使用共享数据库的成本优势。但是它增加了数据库查询和更新的复杂性。对其进行改进,提出了CET(聚类扩展表)。CET有几个表,包括BT(基本表)、CT(聚类表)、CMT (CT元数据表)、ET(扩展表)和EMT (ET元数据表)。利用租户的相似性将其聚类成不同的组。在分组中,基本表和扩展表中的部分数据被转换并合并到CT (Clustering table)中。在一组中,CT提取组中租户的共同相似度,以避免使用ET的复杂性。然后描述SER (Schema Efficiency Ratio)和DER (Data Efficiency Ratio),以控制租户对其组的描述。实验也证明了ET的改进。
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引用次数: 4
Quasi-reflective function and periodic solutions of nonlinear vibration equations 非线性振动方程的拟反射函数与周期解
Zhengxin Zhou, R. Du, Xiuju Zhang
In this article, we discuss the quasi-reflecting function of nonlinear vibration equations. We give the sufficient conditions for these equations to have periodic solutions.
本文讨论了非线性振动方程的拟反射函数。我们给出了这些方程有周期解的充分条件。
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引用次数: 0
SVD-based method for DOA estimation in the presence of mutual coupling 基于奇异值分解的互耦DOA估计方法
Y. Qu, Jian Zhang
A method for direction finding in the presence of mutual coupling is proposed. The method uses the singular value decomposition (SVD) to calculate coupling coefficients from the initial estimates of the direction-of-arrival (DOA). Exploiting these calculated coupling coefficients, the DOA can be estimated precisely by the multiple signal classification (MUSIC) algorithm. Based on this, Blind calibration is realized by several iterations between coupling coefficients and DOA. To deal with the local optimum problem occurring in these iterations, two improved methods for single and multiple sources respectively are presented. Simulation results demonstrate the effectiveness of the proposed methods.
提出了一种相互耦合情况下的测向方法。该方法利用奇异值分解(SVD)从初始估计的到达方向(DOA)计算耦合系数。利用这些计算得到的耦合系数,利用多信号分类(MUSIC)算法可以精确地估计出DOA。在此基础上,通过耦合系数与DOA之间的多次迭代实现盲定标。针对迭代过程中出现的局部最优问题,分别针对单源和多源提出了两种改进方法。仿真结果验证了所提方法的有效性。
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引用次数: 1
Research on control strategy for parallel hybrid loader 并联混合装载机控制策略研究
Dingxuan Zhao, Zhiwen Zhang, M. Li, Tianyu Li, Chengcheng Wang
Through the analysis of a five-ton loader working condition characteristics, this paper proposed a parallel hybrid loader structure, studied its parameter matching and put forward a fuzzy logic control strategy for energy saving. The input variables of fuzzy logic controller were system demand torque obtained by online estimation and state of charge of super capacitor. After fuzzy control optimization algorithm, the engine would work smoothly in the high efficiency area and super capacitor would keep balance between charging and discharging. The simulation results showed that the control strategy improved the engine fuel economy and energy saving effect which could save fuel by 7.72% compared with the traditional loader.
通过对某五吨装载机工况特点的分析,提出了一种并联混合装载机结构,对其参数匹配进行了研究,并提出了一种节能模糊逻辑控制策略。模糊控制器的输入变量为在线估计得到的系统需求转矩和超级电容的充电状态。通过模糊控制优化算法,使发动机在高效率区平稳工作,使超级电容器保持充放电平衡。仿真结果表明,该控制策略提高了发动机的燃油经济性和节能效果,与传统装载机相比,可节省7.72%的燃油。
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引用次数: 6
The clutter suppression based on FA and image contrast in TWI application 基于FA和图像对比度的杂波抑制在TWI中的应用
Lanzi Zhang, B. Lu, Zhimin Zhou, Xin Sun
In through-the-wall imaging, the clutter, because of its great energy, has great effect on the detection of the targets. For the purpose of clutter suppression, factor analysis method has been studied and applied to TWI data. Besides, a new evaluation criterion, image contrast, for demonstrating the suppression performance is introduced. Compared to the SCR, the clutter suppression technique based on the FA and image contrast can efficiently suppress the clutter without a priori knowledge about targets. Simulation demonstrates the efficiency of the method.
在穿墙成像中,杂波由于能量大,对目标的检测影响很大。为了抑制杂波,研究了因子分析方法,并将其应用于TWI数据。此外,还引入了一种新的评价标准——图像对比度,用于评价图像的抑制性能。与SCR相比,基于FA和图像对比度的杂波抑制技术可以在不需要先验目标信息的情况下有效地抑制杂波。仿真验证了该方法的有效性。
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引用次数: 1
Traffic incident detection based on HMM 基于HMM的交通事件检测
Yang Xu
For an intelligent transportation system (ITS), traffic incident detection is one of the most important issues. In this paper, we propose a novel traffic incident detection method based on trajectory quantification and Hidden Markov Model (HMM) classifier. First, object detection algorithm that combines geodesic active contour model based on level set theory and background subtraction was proposed and accurate contour of moving object is got. Sencondly, the kalman filter is applied to predict the possible trajectories of moving object and then trajectory feature was extracted as HMM input. Finally, HMM was used for classification of U-turns, illegal turn left, illegal change lanes. The experimental result showed that the method proposed has better robustness and higher recognition rate.
对于智能交通系统(ITS)来说,交通事件检测是最重要的问题之一。本文提出了一种基于轨迹量化和隐马尔可夫模型(HMM)分类器的交通事件检测方法。首先,提出了基于水平集理论的测地线活动轮廓模型与背景减法相结合的目标检测算法,得到了精确的运动目标轮廓;其次,利用卡尔曼滤波对运动目标可能的运动轨迹进行预测,提取运动轨迹特征作为HMM输入;最后利用HMM对u型转弯、非法左转、非法变道进行分类。实验结果表明,该方法具有较好的鲁棒性和较高的识别率。
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引用次数: 2
Influence of scattering properties due to complex refractive index of ice 冰复折射率对散射特性的影响
Jinhu Wang, Junxiang Ge, Ming Wei, Wenwen Yu
The relationship between complex refractive index and complex dielectric permittivity is discussed, studied variations in pure-ice complex dielectric permittivity with wavelength and temperature using the LH model. The influence of scattering properties of hexagonal ice crystals due to the change of the complex refractive index was studied using DDA at 94GHz. The results show that the relative error of scattering efficiency, absorption efficiency, asymmetry factor and backscattering efficiency does not exceed 0.24%, 0.24%, 0.09625 % and 0.83% respectively in the case of that the relative error of the real part of the complex refractive index does not exceed 0.22% while the imaginary part remain unchanged; the relative error of absorption efficiency and asymmetry factor do not exceed 1.46%, 0.2065 × 10-4 respectively while scattering efficiency and backscattering efficiency remain constant in the case of that the relative error of the imaginary part of the complex refractive index does not exceed 1.46% whereas the real part remains unchanged.
讨论了复折射率与复介电常数的关系,利用LH模型研究了纯冰复介电常数随波长和温度的变化。利用DDA分析了复折射率变化对六方冰晶散射特性的影响。结果表明:在复折射率实部相对误差不超过0.22%,虚部不变的情况下,散射效率、吸收效率、不对称系数和后向散射效率的相对误差分别不超过0.24%、0.24%、0.09625%和0.83%;在复折射率虚部相对误差不超过1.46%、实部相对误差不变的情况下,吸收效率和不对称系数的相对误差分别不超过1.46%、0.2065 × 10-4,散射效率和后向散射效率保持不变。
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引用次数: 3
期刊
2013 IEEE Third International Conference on Information Science and Technology (ICIST)
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