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2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)最新文献

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Optimal antiviral treatment strategies for the control of pandemic influenza 控制大流行性流感的最佳抗病毒治疗策略
Qingxin Zhang
This paper discusses an optimal antiviral treatment strategy for the outbreak of influenza. The optimal control problem is formulated by minimizing the number of infected individuals at a minimal intervention cost. The existence of an optimal solution for the control problem is proved. In addition, with the Pontryagin's Maximum Principle, the time-varying optimal strategy of antiviral treatment is obtained.
本文讨论了流感爆发的最佳抗病毒治疗策略。最优控制问题是指以最小的干预成本使感染人数最小化。证明了控制问题的最优解的存在性。此外,利用庞特里亚金极大值原理,得到时变抗病毒治疗的最优策略。
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引用次数: 0
Research of increasing virtual face samples for small sample problems and its applications in face recognition 小样本问题中虚拟人脸样本的增加及其在人脸识别中的应用研究
Hao Zhang, Shunfang Wang, Haiyan Ding
In order to solve the small sample problems and the linear inseparable problems caused by some nonlinear factors, this paper proposed a method to generate multiple virtual samples similar to the original images by its class, then all virtual samples were combined as a new database for training. The method not only helps to increase more samples, but strengthens the reliance of virtual samples on the samples in original database. Since the face images are high dimensional, principal component analysis (PCA) is used for dimension reduction and feature extraction. The experiments based on the ORL face database show that the recognition rates have been greatly improved and the recognition results are relatively stable with the increased sample method.
为了解决小样本问题和一些非线性因素导致的线性不可分割问题,本文提出了一种由类生成多个与原始图像相似的虚拟样本的方法,然后将所有虚拟样本组合成一个新的数据库进行训练。该方法不仅有助于增加更多的样本,而且增强了虚拟样本对原始数据库样本的依赖。针对人脸图像的高维特征,采用主成分分析(PCA)进行降维和特征提取。基于ORL人脸数据库的实验表明,增加样本的方法大大提高了识别率,并且识别结果相对稳定。
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引用次数: 0
New tensorial morphological gradients in DTI image segmentation algorithm DTI图像分割中新的张量形态梯度算法
Tao Lin, Xiaoyun Liu, X. Zhang, Yan Ma, Z. Liu
Calculating morphological gradient is the key step of watershed algorithm. In this article, new tensorial similarity morphological gradient is defined based on the eight neighborhoods, and new tensor anisotropy morphological gradients are put forward, which are then used in the watershed segmentation framework to segment DTI image. The results of the segmentation experiments on the corpus callosum show that: Compared to other tensor anisotropy morphological gradients based watershed segmentation methods, the one based on newly proposed tensor anisotropy morphological gradients can more quickly and accurately position and depict the segmentation outline of the image, which can also better protect the edge information of the important region.
形态梯度的计算是分水岭算法的关键步骤。本文基于8个邻域定义了新的张量相似形态梯度,提出了新的张量各向异性形态梯度,并将其应用于分水岭分割框架中对DTI图像进行分割。在胼胝体上的分割实验结果表明:与其他基于张量各向异性形态梯度的分水岭分割方法相比,新提出的基于张量各向异性形态梯度的分水岭分割方法能更快速、准确地定位和描绘图像的分割轮廓,也能更好地保护重要区域的边缘信息。
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引用次数: 0
The remote attestation design based on the identity and attribute certificates 基于身份证书和属性证书的远程认证设计
Yuan Liang, K. Guo, Jian-Pin Li
In order to solve the problem of trusted authentication between terminals, as well as terminals and the server, and to establish a safe and reliable network environment, a remote attestation scheme design based on the identity and attribute certificates is proposed. Through a third-party certification body, which authenticates the identity and attributes of the Trusted Platform, this design ensures transitive trust between the platform and the server. Analysis results show that the design on the basis of the property-based remote attestation makes an increase of platform-based identity authentication. With the method of double certified, the reliability and privacy of the user's platform, as well as the security and confidentiality of the data during the certification process are ensured. This can enhance the credibility and security of the system between user platforms and servers.
为了解决终端之间、终端与服务器之间的可信认证问题,建立安全可靠的网络环境,提出了一种基于身份证书和属性证书的远程认证方案设计。通过第三方认证机构对可信平台的身份和属性进行身份验证,这种设计确保了平台和服务器之间的可传递信任。分析结果表明,在基于属性的远程认证的基础上设计,增加了基于平台的身份认证。采用双重认证的方式,保证了用户平台的可靠性和隐私性,以及认证过程中数据的安全性和保密性。这样可以增强系统在用户平台和服务器之间的可信度和安全性。
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引用次数: 3
Ananalytic model of military system-of-systems based on network-of-networkstheory 基于网络中的网络理论的军事系统的分析模型
Fei Wang, Guang-ya Si, Baoliang Xiao, Yafeng Shi
Network-of-Networks (NoN) is the latest developments of Complex Network, which is suitable for researching problem of System-of-Systems(SoS). We put forward a conceptual model of military SoS based on NoN, the model can describe various dynamic and static factors of SoS effectively. The SoS is mapped into physical network, relationship network and interaction network. The interaction network is defined in the form of flows, and the relationships between different networks are analyzed qualitatively. The approach of instantiating the conceptual model is introduced, the method of analyzing base on the instantiated model is shown through an example of simulation.
网络(NoN -of- networks)是复杂网络的最新发展,适用于研究系统的问题。提出了一种基于NoN的军事SoS概念模型,该模型能有效地描述SoS的各种动态和静态因素。将SoS映射为物理网络、关系网络和交互网络。以流的形式定义了交互网络,并定性分析了不同网络之间的关系。介绍了概念模型的实例化方法,并通过仿真实例说明了基于实例化模型的分析方法。
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引用次数: 0
A new optimal reduced dimension weighted fusion white noise estimator 一种新的最优降维加权融合白噪声估计方法
Xiaojun Sun, G. Yan, Bo Zhang
For the multisensor linear discrete time-invariant systems with correlated noises, a reduced dimension weighted measurement fusion algorithm is presented. Furthermore, an optimal reduced dimension weighted measurement fusion white noise deconvolution estimator is given. Its computational burden is greatly reduced. A simulation example for a 3-sensor system with Bernoulli-Gaussian input white noise shows its effectiveness.
针对具有相关噪声的多传感器线性离散时不变系统,提出了一种降维加权测量融合算法。在此基础上,给出了一种最优的降维加权测量融合白噪声反褶积估计方法。它的计算负担大大减少。对输入白噪声为伯努利-高斯噪声的三传感器系统进行了仿真,验证了该方法的有效性。
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引用次数: 0
The design of high precision double buffer MEMS acceleration seismometer 高精度双缓冲MEMS加速度地震仪的设计
Ping Gan, Huan Yu, Zhuo Chen, Dong Lianli, Xiaohu Shen, Ming Yu, Yu Zhang, Cailan Zeng, Xiaosong Zhang
In this paper, a new type of high precision double buffered MEMS acceleration seismometer is introduced. The MEMS sensor technology, Σ- delta 24 bits A/D conversion technology are adopted in our method. Furthermore, FPGA extended SDRAM is utilized for the implementation. Experiments show that the detector performance compared with France's DSU3 Sercel co, frequency response reaches 0-784Hz; Power consumption is 160 mV, which can realize the large volume of 128 Mbit cache. The dynamic range and band width has been greatly improved than traditional receiver, and the ability to resist electromagnetic interference is enhanced.
介绍了一种新型高精度双缓冲微机电系统加速度地震仪。本方法采用MEMS传感器技术Σ- delta 24位A/D转换技术。此外,FPGA扩展的SDRAM被用于实现。实验表明,该探测器性能与法国的DSU3 Sercel公司相比,频率响应达到0-784Hz;功耗为160mv,可实现128mbit的大容量缓存。与传统接收机相比,该接收机的动态范围和带宽有了很大的提高,抗电磁干扰的能力得到了增强。
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引用次数: 0
Research on key technologies of unmanned aerial vehicle intelligent four shaft rotor 无人机智能四轴转子关键技术研究
Yuehao Yan, C. Li, Rong Wang
With the rapidly development of microelectronics technology, control theory, four shaft rotor unmanned aerial vehicle technology has been dramatically improved. In this paper, a fast intelligent building model and setting process have been proposed, which are based on the research of the key technology of four shaft rotor unmanned aerial vehicle, this model and setting process has been proved plausibly and correctly with experiments.
随着微电子技术、控制理论的迅速发展,四轴旋翼无人机技术得到了极大的提高。本文在研究四轴旋翼无人机关键技术的基础上,提出了一种快速智能建筑模型和设置流程,并通过实验验证了该模型和设置流程的合理性和正确性。
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引用次数: 3
Cramer-rao lower bound for localization in environments with dynamical obstacles 具有动态障碍物环境下的Cramer-rao下界定位
Riming Wang, Jiu-chao Feng
Cramer-Rao Lower Bound (CRLB) of location estimation under Gaussian distribution is widely used in localization applications. However, under the environments with dynamical obstacles, the existing CRLB does not represent the effect of the non-line-of-sight (NLOS) bias caused by dynamical obstacles. In this paper, based on received signal strength (RSS) measurements, a uniform random variable is used to model the NLOS bias effect. Furthermore, The corresponding maximum likelihood estimator (MLE) and CRLB under the joint distribution of Gaussian distribution and uniform distribution are derived. Numerical results validate that the proposed MLE and CRLB are effective in environments with dynamic obstacles.
高斯分布下的位置估计的crmer - rao下界(CRLB)在定位应用中得到了广泛的应用。然而,在存在动态障碍物的环境下,现有的CRLB并不能代表动态障碍物引起的非视距偏差的影响。本文基于接收信号强度(RSS)测量,采用均匀随机变量来模拟NLOS偏置效应。在此基础上,推导了高斯分布和均匀分布联合分布下的最大似然估计量(MLE)和最大似然估计量(CRLB)。数值结果验证了所提出的最大似然估计和最小似然估计在有动态障碍物的环境下是有效的。
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引用次数: 0
Sealed-BID electronic auction without the third party 无第三方的封闭式竞价电子拍卖
Shaobo Li, Xiao Li, Ming-Xing He, Shengke Zeng, Xiaolong Tang
The previous electronic sealed-bid auction schemes usually have a common drawback, the third party (auction host) can conspire with a malicious bidder to leak all bidding prices before the opening stage. It results in the malicious bidder wining the auction with an optimal bidding price. This paper proposes a sealed-bid auction scheme without third party to get over this drawback. The proposed scheme adopts the ideal of the conditionally anonymous ring signcryption to guarantee the secure requirements of sealed- bid electronic auction.
以往的电子封标拍卖方案通常有一个共同的缺点,即第三方(拍卖主办者)可能与恶意的竞标者合谋,在开拍前泄露所有的投标价格。结果是恶意投标人以最优出价赢得拍卖。为了克服这一缺陷,本文提出了一种无第三方的密封竞价方案。该方案采用有条件匿名环签名的思想,保证了密封竞价电子拍卖的安全要求。
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引用次数: 2
期刊
2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)
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