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2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)最新文献

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Classification Different Types of Fall For Reducing False Alarm Using Single Accelerometer 用单个加速度计对不同类型的加速度进行分类,减少误报
N. P. Pham, Hung Viet Dao, Ha Ngoc Phung, Huy Van Ta, Nam Hoang Nguyen, Tram Thi Hoang
Fall is one of the major causes of serious injury, which include fractures, traumatic brain injury, and death, to the elderly. True fall detection in time will improve the chances of survival and increases the likelihood of normal behavior recovery by up to 80%. Many researchers use accelerometers to detect fall as its convenience, low power and portable. However, simple threshold method can lead to false alarm in several ADLs (Activities of daily living) such as lying or sitting and several types of fall. This paper presents a fall detection algorithm to reduce false alarm using predetermined multi – thresholds in three phase of fall events. The performance of this techniques is evaluated using signals generated during in lab experiments that record the user’s movement signals during normal activities (walking, up/down stairs, standing up, sitting down and lying down) and a variety of fall cases. It was found that our method is able to classify 6 different type of fall and 6 ADLs with the accuracy is 92%, which was comparable to other methods.
跌倒是造成老年人严重伤害的主要原因之一,包括骨折、创伤性脑损伤和死亡。及时发现真正的跌倒将提高生存机会,并将正常行为恢复的可能性提高80%。由于加速度计方便、低功耗和便携,许多研究人员使用加速度计来检测跌倒。然而,简单的阈值方法可能导致一些日常生活活动(ADLs)误报,如躺着或坐着以及几种跌倒。提出了一种利用预先确定的多阈值对跌落事件的三个阶段进行检测以减少误报的跌落检测算法。使用实验室实验中产生的信号来评估这种技术的性能,这些实验记录了用户在正常活动(行走、上下楼梯、站立、坐下和躺下)和各种跌倒情况下的运动信号。结果发现,我们的方法能够对6种不同类型的跌倒和6种adl进行分类,准确率为92%,与其他方法相当。
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引用次数: 3
A 3D Printed Two-axis Tilt Angle Capacitive Sensor 3D打印的双轴倾角电容式传感器
Ha Thuy Tran Thi, H. Nguyen Dac, An Nguyen Ngoc, Dung Nguyen Ngoc, Le Van Thai, Tung Thanh Bui
This paper presents the simulation, design, fabrication and characterization of a two-axis tilt angle capacitive sensor. The proposed sensor consists of five electrodes, including one exciting electrode and two pairs of sensing electrodes, arranged at identified positions on a hollow sphere which is partly filled with liquid/gas two-phase dielectric medium. With this configuration, the proposed sensor can measure the inclination in x− and y− axes with symmetrical outputs. The working principle of the sensor was confirmed by finite element method (FEM) using COMSOL Multiphysics. The sensor has been fabricated using rapid prototyping technology and mounted right on the conditioning printed circuit board (PCB) for performance characterization. Experimental results validated that the sensor can measure the inclination in both the x and y axes with symmetrical outputs, with sensitivity of approximately 60 mV/° and resolution of 1° in [−70°, 70°] range.
本文介绍了一种双轴倾角电容式传感器的仿真、设计、制造和性能表征。该传感器由五个电极组成,包括一个激励电极和两对传感电极,分别设置在部分充满液/气两相介电介质的空心球体上的指定位置。通过这种配置,所提出的传感器可以测量x轴和y轴上的倾斜,并具有对称的输出。利用COMSOL Multiphysics软件对传感器的工作原理进行了有限元分析。该传感器采用快速成型技术制造,并安装在调理印刷电路板(PCB)上进行性能表征。实验结果表明,该传感器可以测量x轴和y轴的倾斜,输出对称,灵敏度约为60 mV/°,分辨率为1°[−70°,70°]范围内。
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引用次数: 3
The Design of Low-Iteration Protograph Codes for Rayleigh Fading Channels with Spatial Diversity 具有空间分集的瑞利衰落信道的低迭代原型码设计
T. Nguyen, Hieu T. Nguyen
The contribution of this paper is to propose a new design framework for good low-iteration protograph low density parity check (LDPC) codes for fading channels where space spatial diversity is feasible. The performance of a protograph code of rate 1/2 proves that a power gain of 0.4 dB is achieved at frame error rate (FER) of 10−4 in comparison with the counterpart protograph accumulate-repeat-by-3-accumulate (AR3A) code, which has been shown to have the best performance in the fading environment [1]. Such power gain is meaningful for battery-operated devices in wireless communications systems.
本文的贡献是提出了一种新的设计框架,用于空间分集可行的衰落信道中良好的低迭代原型低密度奇偶校验(LDPC)码。速率为1/2的原始码的性能证明,在帧错误率(FER)为10−4的情况下,与对应的原始码AR3A (cumulative - repeatre -by-3-accumulate)相比,功率增益为0.4 dB,而AR3A在衰落环境中具有最佳性能[1]。这种功率增益对于无线通信系统中电池供电的设备是有意义的。
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引用次数: 0
An adaptive method for low-delay 360 VR video streaming over HTTP/2 基于HTTP/2的低延迟360度VR视频流的自适应方法
Dang-Hieu Nguyen, Minh Nguyen, N. P. Ngoc, T. Thang
Virtually Reality (VR) technology, especially 360 VR videos, is currently a hot topic thanks to its immersive experience, compared to traditional multimedia applications, such as allowing users to experience a close real life by panoramic view. Nevertheless, 360 VR video transmission consumes a huge bandwidth. Besides, how to reduce the delay of 360 VR video streaming is another problem. To address these two challenges, in this paper, we introduce an efficient adaptive 360 VR video streaming method over HTTP/2 using stream priority and stream termination features. To support adaptivity, a 360 VR video is divided into multiple faces and each face is chunked into temporal segments. The video is also stored at the server with different levels of quality. In our method, we focus on the low delay scenario and thus all faces are downloaded simultaneously by using priority feature of HTTP/2 and the client decodes them based on the Group of Pictures (GOP). If the bandwidth suddenly drops, the client will break the simultaneity and inform the server to push consecutively the faces based on their priorities. In addition, stream termination feature can be used to terminate the media parts, which will miss the deadline. The experimental results show that, when the initial buffer is set to 0.5s, there is only 0.08% of the number of GOPs in the front face that miss the deadline in our proposed method, compared to the values of 0.75% and 3.34% of two reference methods.
与传统的多媒体应用相比,虚拟现实(VR)技术,特别是360度VR视频,由于其沉浸式体验而成为当前的热门话题,例如允许用户通过全景视图体验近距离的真实生活。然而,360度VR视频传输需要消耗巨大的带宽。此外,如何降低360度VR视频流的延迟是另一个问题。为了解决这两个挑战,在本文中,我们介绍了一种基于HTTP/2的高效自适应360 VR视频流方法,该方法使用流优先级和流终止特性。为了支持自适应,360度VR视频被分成多个人脸,每个人脸被分成时间段。视频也以不同的质量水平存储在服务器上。在我们的方法中,我们专注于低延迟场景,因此通过使用HTTP/2的优先级特性同时下载所有面孔,客户端基于图像组(GOP)对其进行解码。如果带宽突然下降,客户端将打破同时性,并通知服务器根据其优先级连续推送面部。此外,可以使用流终止功能来终止错过截止日期的媒体部分。实验结果表明,当初始缓冲时间设置为0.5s时,本文方法中错过截止期的正面GOPs数仅为0.08%,而两种参考方法的截止期分别为0.75%和3.34%。
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引用次数: 7
Gaussian Process Modeling of UWB Multipath Components 超宽带多径组件的高斯过程建模
An Hong, M. Rath, Josef Kulmer, Stefan Grebien, Khang Nguyen Van, K. Witrisal
In the field of radio channel modelling, the consideration of ultra-wideband (UWB) signals allows for a channel description that can be decomposed into deterministic multipath components (MPCs) and dense / diffuse multipath. In this paper, deterministic MPCs are studied. A Gaussian Process (GP) model is used as a regression tool to analyze and model the MPC amplitude behavior, based on channel measurements. In this regard, the dependency of the amplitude on the incident angle of the signal at a reflecting surface is analyzed. The channel model is related to kernel functions used in GP that describe the similarities between different data points. Based on the model parameters, the amplitudes of MPCs are predicted at other positions of the receiver that have not been measured in the experiment. The method can then be used to predict a UWB channel impulse response at an arbitrary position in the environment.
在无线电信道建模领域,考虑超宽带(UWB)信号,可以将信道描述分解为确定性多径分量(mpc)和密集/扩散多径。本文研究了确定性MPCs。基于信道测量,采用高斯过程(GP)模型作为回归工具对MPC振幅行为进行分析和建模。在这方面,分析了振幅与反射面上信号入射角的关系。通道模型与GP中使用的核函数有关,核函数描述了不同数据点之间的相似性。根据模型参数,预测了实验中未测量到的接收机其他位置的MPCs振幅。该方法可用于预测环境中任意位置的超宽带信道脉冲响应。
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引用次数: 2
Training On-chip Hardware with Two Series Memristor Based Backpropagation Algorithm 基于双串联忆阻器反向传播算法的片上硬件训练
H. Vo
This study proposes an architecture using two series memristor circuits as synapses to install the weights of the artificial neural network. Two series memristor circuit is similar to half-bridge circuit so here only to create positive weights in the range [0;1]. The use of two memristor circuit will decrease 50% the number of memristor. By proposed memristor circuit, we exploit back-propagation algorithm to train a three-bit odd parity on-chip hardware instead of software implementation.
本研究提出了一种使用两个串联忆阻电路作为突触来安装人工神经网络权值的架构。两串忆阻电路类似于半桥电路,所以这里只产生在[0;1]范围内的正权值。采用双忆阻电路将使忆阻器数量减少50%。通过所提出的忆阻电路,我们利用反向传播算法来训练一个3位奇偶校验的片上硬件,而不是软件实现。
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引用次数: 2
Application of PSO and Bacterial Foraging Optimization to Speed Control PMSM Servo Systems 粒子群优化与细菌觅食优化在永磁同步电机伺服调速系统中的应用
Hieu Le Dinh, I. Temkin
This paper represents a new method optimal parameters PID based on nature inspired optimization algorithms application speed control of phases Permanent Magnet Synchronous Motors (PMSM). The methods for speed control stabilization of the PMSM using the Adaptive Particle Swarm Optimization controllers (APSO) and Hybrid Bacterial Foraging Particle Swarm Optimization controllers (BFPSO). The response results of the speed control PMSM Servo Systems used APSO and BGPSO methods are compared and the conclusions are given by simulation.
提出了一种基于自然启发优化算法的最优参数PID控制新方法,用于永磁同步电动机的相位速度控制。研究了基于自适应粒子群优化控制器(APSO)和混合细菌觅食粒子群优化控制器(BFPSO)的永磁同步电机速度稳定控制方法。比较了采用APSO和BGPSO两种方法控制永磁同步电机伺服系统的响应结果,并通过仿真给出了结论。
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引用次数: 5
Maximizing Cache Value for Distributing Content via Small Cells in 5G 在5G中通过小蜂窝分配内容最大化缓存价值
Ibrahim Freewan, J. Daigle, Feng Wang
This paper discusses distribution of content to mobile users via small cells (SCs) in 5G. Users may simultaneously access between one and some maximum number of SCs. Files are stored in remote locations as a collection of source symbols and some number of RaptorQ-encoded symbols generated from these source symbols are cached in the SCs. Each file is characterized by the number of encoded symbols required to reconstruct the file at the user equipment and its download preference probability. Users recover the file by downloading a number of encoded symbols slightly larger than the number of source symbols. If a sufficient number of encoded symbols are not available from the SCs, the remainder are backhauled. Presented in this paper is an algorithm of low complexity to maximize the average value of using cache to reduce backhaul. This paper contributes to the literature by presenting an n log n algorithm to solve the optimization problem exactly, extending previous results from constant files size for all files to arbitrary actual files sizes for all files, and extending distribution portions from continuous fractions of files to an integer number of symbols.
本文讨论了在5G中通过小蜂窝(SCs)向移动用户分发内容。用户可以同时访问一个到最大数量的sc。文件作为源符号的集合存储在远程位置,从这些源符号生成的一些raptorq编码符号缓存在sc中。每个文件的特征是在用户设备上重构文件所需的编码符号数及其下载偏好概率。用户通过下载一些比源符号数量稍大的编码符号来恢复文件。如果sc中没有足够数量的编码符号,则将剩余的编码符号退回。本文提出了一种低复杂度的算法,以最大化利用缓存减少回程的平均值。本文通过提出一种n log n算法来精确地解决优化问题,将以前的结果从所有文件的恒定文件大小扩展到所有文件的任意实际文件大小,并将分布部分从文件的连续分数扩展到整数符号,从而为文献做出了贡献。
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引用次数: 2
On the optimal beam selection with partial subcarriers on wideband mmWave systems 宽带毫米波系统中部分子载波的最优波束选择
Juho Park, Jihyung Kim, J. Lee, Junhwan Lee
Utilizing wide bandwidth available in the millimeter wave channel is a promising candidate for the 5G and beyond 5G wireless sytems. To overcome severe channel degradation in millimeter wave channel, adopting massive MIMO with directional beamforming is essential, and base station and user should acquire best analog transmit/receive beam pair to establish a reliable link. The best analog transmit/receive beam pairs are found by maximizing a performance metric over the whole bandwidth. For efficient use of wideband in mmWave channel and to save energy at user, bandwith part (BWP) is adopted in NR which the user can be configured to use only a part of whole bandwith. With BWP, a user cannot use whole frequency information for best analog beam selection. In this paper, we have studied the impact of partial use of sub-carriers on the best analog transmit/receive beam selection.
利用毫米波通道中可用的宽带是5G及5G以上无线系统的有希望的候选者。为了克服毫米波信道中严重的信道退化问题,必须采用具有定向波束形成的大规模MIMO,基站和用户必须获得最佳的模拟发射/接收波束对,以建立可靠的链路。最佳模拟发射/接收波束对是通过在整个带宽上最大化性能指标来找到的。为了有效地利用毫米波信道中的宽带,同时也为了节约用户的能量,在NR中采用了带带部分(bandwith part, BWP),用户可以配置为只使用整个带带的一部分。对于BWP,用户不能使用整个频率信息来进行最佳模拟波束选择。在本文中,我们研究了部分使用子载波对最佳模拟发射/接收波束选择的影响。
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引用次数: 1
Regularization Parameter Selection in Image Restoration with Inverse Gradient: Single Scale or Multiscale? 反梯度图像恢复中的正则化参数选择:单尺度还是多尺度?
V. B. Surya Prasath, D. N. Thanh, N. H. Hai
Regularization methods are effective in to solving ill-posed vision problems such as image denoising and restoration. These methods typically involve a smoothness/regularization term (prior) and a data term (fidelity). The importance of the regularization parameter that weights the smoothness prior term is well known in the image processing literature. In this work, we consider a particular class of adaptive regularization terms, which depend on the inverse gradient of the image. A pre-smoothing operation with Gaussian kernel is performed in computing the inverse gradient based adaptive regularization term with a fixed scale. However, in general, digital images contain objects of varying sizes, hence a multiscale regularization can improve the edge preserving restorations. We study here a comparison of single scale versus multiscale inverse gradient regularization parameter selection in image restoration along with quadratic and total variation regularization priors. Our experimental results conducted on standard test images indicate that using multiscale strategy improves the restoration quality both in terms of noise reduction and structure preservation. This assertion is augmented by various error metrics such as peak signal to noise ratio, and structural similarity.
正则化方法是解决图像去噪和恢复等病态视觉问题的有效方法。这些方法通常包括平滑/正则化项(先验)和数据项(保真度)。在图像处理文献中,对平滑先验项进行加权的正则化参数的重要性是众所周知的。在这项工作中,我们考虑了一类特定的自适应正则化项,它们依赖于图像的逆梯度。在计算固定尺度的逆梯度自适应正则化项时,采用高斯核预平滑运算。然而,通常情况下,数字图像包含不同大小的物体,因此多尺度正则化可以提高边缘保持恢复。本文研究了单尺度与多尺度逆梯度正则化参数选择在二次和全变分正则化先验条件下图像恢复中的比较。我们在标准测试图像上的实验结果表明,多尺度策略在降噪和结构保留方面都提高了修复质量。这种断言被各种误差度量增强,如峰值信噪比和结构相似性。
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引用次数: 16
期刊
2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)
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