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2014 4th IEEE International Conference on Information Science and Technology最新文献

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Morphological study of acetabulum on 3D model reconstructed from CT scan images for the southern Chinese population 中国南方人群髋臼三维CT重建模型的形态学研究
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920508
L. N. Zhang, X. Ye, Z. B. Xu, Y. W. Du, Z. Hou, X. Bai, P. Shang
To obtain the morphological measurements of acetabulum for southern Chinese population, 40 volunteers were evaluated by CT scan. The 3D model of pelvis was reconstructed from CT scan images. The AVA, ABA and SID were measured for both sides. The mean AVA, ABA showed no significant difference for sex and both sides. But the SID showed the opposite results. The comparison of these parameters with western data were performed, and it indicated that there was significant different between our results and the data for western population published. This study may provide important reference in designing proper gender- and region- prosthesis for southern Chinese population.
为了获得中国南方人群髋臼的形态特征,对40名志愿者进行了CT扫描。根据CT扫描图像重建骨盆三维模型。测定双方的AVA、ABA和SID。平均AVA、ABA在两性间无显著差异。但SID显示出相反的结果。将这些参数与西方的数据进行比较,发现我们的结果与西方已发表的人群数据有显著差异。本研究可为设计适合南方人群的性别和地域义肢提供重要参考。
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引用次数: 0
An enhanced neighbor-friendly reader anti-collision algorithm in mobile RFID networks 移动RFID网络中一种增强的邻居友好型阅读器防碰撞算法
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920374
Zhonghua Li, Hanpei Yang, Jianming Li, Chunhui He, Jieying Zhou
In radio frequency identification (RFID) systems with dense mobile RFID readers, reader collision is one of the main issues of interest. The existing anti-collision method called neighbor-friendly reader anti-collision (NFRA) algorithm is simple and easy to make readers aware of neighbors for minimizing reader collision. However, the simple backoff mechanism impairs the utilization rate of mobile readers. To resolve the aforementioned shortage, this paper attempts to propose an enhanced neighbor-friendly reader anti-collision (ENFRA) algorithm. For the sake of comparison, a series of numerical experiments are arranged. The simulation results demonstrate that the proposed ENFRA algorithm is more efficient in obtaining the utilization rate of mobile readers than the canonical NFRA algorithm.
在具有密集移动RFID阅读器的射频识别(RFID)系统中,阅读器碰撞是人们感兴趣的主要问题之一。现有的防碰撞方法称为邻居友好型阅读器防碰撞(NFRA)算法,该算法简单,易于让阅读器意识到邻居,从而最大限度地减少阅读器碰撞。然而,这种简单的后退机制影响了移动阅读器的利用率。为了解决上述不足,本文尝试提出一种增强的邻居友好型阅读器防碰撞(ENFRA)算法。为了便于比较,安排了一系列数值实验。仿真结果表明,与传统的NFRA算法相比,所提出的ENFRA算法能更有效地获取移动阅读器的利用率。
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引用次数: 3
Multi-level adaptive network for accented Mandarin speech recognition 普通话重音语音识别的多级自适应网络
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920550
Huiyong Wang, Lan Wang, Xunying Liu
Accented speech recognition is more challenging than standard speech recognition due to acoustic and linguistic mismatch between standard and accented data. In this paper, we propose a new framework combining Tandem system to improve the discriminative ability of acoustic features with Multi-level Adaptive Network (MLAN) to incorporate information from standard Mandarin corpus and also to solve the data sparseness problem. Mandarin spoken by Guangzhou speakers is considered as the accented mandarin (accented Putonghua, A-PTH), while spoken by northern area as the standard mandarin (standard Putonghua, S-PTH). Significant character error rate reduction of 13.8% and 24.6% relative are obtained over the baseline GMM-HMM systems trained on mixed corpus including both A-PTH and S-PTH corpus, as well as only the A-PTH corpus respectively.
由于标准数据和重音数据在声学和语言上的不匹配,重音语音识别比标准语音识别更具挑战性。本文提出了一种将Tandem系统与多层自适应网络(multi - leveladaptive Network, MLAN)相结合的新框架,以提高声学特征的判别能力,并从标准普通话语料库中吸收信息,同时解决数据稀疏问题。广州人说的普通话被认为是重音普通话(重音普通话,A-PTH),而北方地区说的普通话被认为是标准普通话(标准普通话,S-PTH)。在混合语料库(包括A-PTH和S-PTH语料库)和仅A-PTH语料库上训练的基线GMM-HMM系统的字符错误率分别显著降低了13.8%和24.6%。
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引用次数: 8
Video forgery detection based on nonnegative tensor factorization 基于非负张量分解的视频伪造检测
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920352
L. Yin, Z. Bai, Renqing Yang
With the development and popularity of powerful video editing tools, it tends to be increasingly easier to create digital synthesized videos. A novel passive video inter-frame forgery detection method based on nonnegative tensor factorization (NTF) is presented in this work. It is based on the finding that inter-frame forgery will disturb the consistency of time-dimension factor. In this method, the video is factorized by using NTF first and then the time-dimension factor is extracted. By comparing the correlation between the elements of the factor, the video forgery can be detected. According to the experimental results, it shows that the proposed scheme is able to expose frame deletion and insertion forgery effectively.
随着功能强大的视频编辑工具的发展和普及,制作数字合成视频变得越来越容易。提出了一种基于非负张量分解(NTF)的被动视频帧间伪造检测方法。这是基于帧间伪造会破坏时间维度因子的一致性的发现。该方法首先对视频进行NTF分解,然后提取时间维因子。通过比较各要素之间的相关性,可以对视频伪造进行检测。实验结果表明,该方案能够有效地暴露帧删除和插入伪造。
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引用次数: 5
Clipping distortion analysis and optimal power allocation for ACO-OFDM based visible light communication 基于ACO-OFDM的可见光通信削波失真分析及最优功率分配
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920393
Qing-feng Lu, Xin-Sheng Ji, Kai-zhi Huang
This paper analyses the nonlinear clipping distortion of asymmetrically clipped optical OFDM (ACO-OFDM) based visible light communications system (VLC) and proposes an optimal power allocation method for reducing the clipping distortion. Firstly, we analyze the LED nonlinear clipping distortion based on the clipping process model that original signal directly added nonlinear clipping distortion components. Then, the effective signal to noise ratio (ESNR) is defined to measure the clipping distortion, and the clipping distortion analysis is converted into ESNR analysis. Finally, the optimal power allocation under optical power constraints base on the principle of ESNR optimum is proposed. Simulation results show that reasonable power allocation can effectively reduce the LED nonlinear clipping distortion and ensure that the bit error rate (BER) is less than 10-3.
分析了基于非对称截光OFDM (ACO-OFDM)的可见光通信系统(VLC)的非线性截光失真,提出了一种降低截光失真的最优功率分配方法。首先,基于原始信号直接加入非线性裁剪失真分量的裁剪过程模型,分析了LED的非线性裁剪失真;然后,定义有效信噪比(ESNR)来测量削波失真,并将削波失真分析转化为ESNR分析。最后,提出了基于ESNR优化原理的光功率约束下的最优功率分配方法。仿真结果表明,合理的功率分配可以有效降低LED的非线性裁剪失真,保证误码率小于10-3。
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引用次数: 4
Indoor passive ranging based on WiFi 基于WiFi的室内被动测距
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920324
Jiazhi Dong, Yuwen Wang, Xiaofu Shang, Zhili Wang
In this paper, we briefly analyzed the advantages of passive distance measurement based on Wireless Fidelity (WiFi). Based on the analysis of the principle of traditional interferometer direction finding, we derived the equations which are suitable for indoor distance measurement. Through theoretical analysis and simulation, we prove the correctness of the equations. Finally, we analyze and conclude the conditions of using the method, the scope of distance measurement, and the main influencing parameters of system accuracy.
本文简要分析了基于无线保真度(WiFi)的无源距离测量的优点。在分析传统干涉仪测向原理的基础上,推导出适用于室内距离测量的方程。通过理论分析和仿真,证明了方程的正确性。最后,对该方法的使用条件、距离测量范围以及影响系统精度的主要参数进行了分析和总结。
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引用次数: 0
Simulation of thermal damage to bone tissue during bone drilling 骨钻孔过程中骨组织热损伤的模拟
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920542
Shun Li, Yim-Pan Chui, P. Heng
Drilling of bone, which is an essential part in temporal bone surgeries, is applied for making a tiny surgical entrance(incision) to the target. Because the temporal bone has a remarkable complex anatomy structures responsible for hearing and balance, VR (virtual reality)-based simulator is desirable for the trainee to interactively localize and operate on the target in a virtual space. In the surgical process, vast heat is generated while the drill bit cuts the bone tissue. For the human body, the tolerance of the bone tissue to the temperature is limited and a persistently high temperature may possibly result in thermal necrosis. In this paper, we have proposed a framework to evaluate the thermal damage to bone tissue during the bone drilling process. Heat generation and conduction were both modelled physically in our framework. The profile of temperature distribution in the bone tissue was used to determine the region of thermal necrosis which is treated as one of the metrics to assess the quality of the virtual surgical case.
骨钻孔是颞骨手术中必不可少的部分,用于在目标上形成微小的手术入口(切口)。由于颞骨具有非常复杂的解剖结构,负责听力和平衡,因此基于VR(虚拟现实)的模拟器是学员在虚拟空间中交互式定位和操作目标的理想选择。在手术过程中,钻头切割骨组织时产生巨大的热量。对于人体来说,骨组织对温度的耐受性是有限的,持续的高温可能导致热坏死。在本文中,我们提出了一个评估骨钻孔过程中骨组织热损伤的框架。在我们的框架中,热的产生和传导都是物理模拟的。骨组织的温度分布曲线用于确定热坏死区域,热坏死区域被视为评估虚拟手术病例质量的指标之一。
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引用次数: 1
Destriping remotely sensed data using anisotropic diffusion in wavelet domain 基于小波域各向异性扩散的遥感数据去条纹
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920392
Quanlong Feng, J. Gong
Due to differences of each detector's response to the same radiant signal, stripe noise exists in various remotely sensed data, which degrades accuracy of the imagery and brings difficulty in subsequent analysis such as quantitative inversion, terrain classification and object detection. Wavelet shrinkage denoising algorithm can remove the stripe effectively because it suppresses the noise through hard or soft thresholding function. However, the main defect lies in blurred edges of ground objects since it always over reduces the wavelet coefficients. In order to preserve and restore the edges to the full extent, this paper adopted anisotropic diffusion method into wavelet domain. An anisotropic diffusion filtering process was applied to the high frequency wavelet coefficients which eradicated the stripe while preserving the ground object edges. Experimental results showed that the proposed method in this paper outperformed the traditional wavelet shrinkage denoising method both in visual effects and several image quality indexes.
由于各探测器对同一辐射信号的响应不同,不同遥感数据中存在条纹噪声,降低了成像精度,给后续定量反演、地形分类、目标检测等分析带来困难。小波收缩去噪算法通过硬阈值或软阈值函数对噪声进行抑制,可以有效去除条纹。然而,该方法的主要缺陷在于对小波系数的过度减小导致地物边缘模糊。为了最大限度地保留和恢复边缘,本文将各向异性扩散方法引入小波域。对高频小波系数采用各向异性扩散滤波处理,在保留地物边缘的同时消除了条纹。实验结果表明,该方法在视觉效果和若干图像质量指标上都优于传统的小波收缩去噪方法。
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引用次数: 4
A revised stochastic nelder-mead algorithm for numerical optimization 一种改进的随机nelder-mead数值优化算法
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920603
Zhiyu Li, Yi Zhan
The Stochastic Nelder-Mead, a recently developed variant of the classic Nelder-Mead algorithm, is a direct search method for derivative-free, nonlinear and black-box stochastic optimization problem. A key factor that influences its performance is obtaining reasonable rankings on the simplex points with random noise. We propose a new ranking procedure that integrates a selection sorting algorithm with statistical hypothesis testing method. This procedure provides an efficient `fine-granular' re-sampling scheme in which the sample sizes can be estimated more precisely and with more flexibility. A numerical study indicates that the revised algorithm can generally outperform its original in terms of both accuracy and stability.
随机Nelder-Mead算法是在经典Nelder-Mead算法的基础上发展起来的一种直接搜索方法,用于求解无导数、非线性、黑盒随机优化问题。影响其性能的一个关键因素是对随机噪声下的单纯形点进行合理的排序。本文提出了一种将选择排序算法与统计假设检验方法相结合的排序方法。该程序提供了一种有效的“细颗粒”重新采样方案,其中样本量可以更精确地估计,并具有更大的灵活性。数值研究表明,改进后的算法在精度和稳定性方面都优于原算法。
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引用次数: 7
Study of ellipse curve and ellipsoidal helix interpolation algorithm for multi-axis jewelry lathe 多轴珠宝车床椭圆曲线及椭球螺旋插补算法研究
Pub Date : 2014-04-26 DOI: 10.1109/ICIST.2014.6920560
Z. Zhou, H. Fang, K. He, Y. Gu, C. Luo, Ya Miao
For the increasing demand of jewelry products, a self-designed multi-axis jewellery lathe is developed, which uses a PC control system based on VC and motion control card. In the process of development of the open CNC control system software, the unconventional ellipse curve and ellipsoidal helix interpolation besides the conventional line and circle interpolation should also be used during the CNC machining process. This paper specially studies the two interpolation algorithms based on the spacial structure of the lathe, and the achievements of the study has been put into practice.
针对日益增长的珠宝产品需求,自主设计了一种多轴珠宝车床,该车床采用基于VC的PC控制系统和运动控制卡。在开放式数控控制系统软件的开发过程中,在数控加工过程中除了常规的直线和圆插补外,还应采用非常规的椭圆曲线和椭球螺旋插补。本文专门研究了两种基于车床空间结构的插补算法,并将研究成果应用于实际。
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引用次数: 2
期刊
2014 4th IEEE International Conference on Information Science and Technology
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