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2019 42nd International Conference on Telecommunications and Signal Processing (TSP)最新文献

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A Simulation Approach of the Internet of Intelligent Vehicles for Closed Routes in Urban Environments 城市封闭道路下的智能车联网仿真方法
Luis A. Curiel-Ramirez, Javier Izquierdo Reyes, M. Bustamante-Bello, R. Ramírez-Mendoza, Alec Garcia-Barba
In recent years, through the evolution of intelligent transport systems (ITS), there has been an increase in components to monitor different variables in the vehicles (such as driver monitoring, tire pressure, oil pressure, vehicle speed, acceleration, among others). Internet of Things (IoT) is enabling the collection of a variety of information of all types of components for monitoring the environment and systems. Also, as part of this evolution, the original concept of Vehicular Ad-hoc networks (VANETs) is being transformed into a new concept, the Internet of Vehicles (IoV), which involves Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I) communications, and other variations of these (V2X).In this paper, a review of the state of the art of the technologies and architectures generated around the Internet of the vehicles (IoV) is carried out and with this, an implementation of the simulation of intelligent vehicular communications through the IEEE 802.11p protocol and one of its applications. An algorithm for the generation of vehicular convoys to improve vehicle flow application through V2X communication is proposed and implemented in the simulation, and the communication quality is validated in a closed route in an urban environment during the simulations, omitting aspects of security in communications.
近年来,随着智能交通系统(ITS)的发展,用于监控车辆中不同变量(如驾驶员监控、胎压、油压、车速、加速度等)的组件有所增加。物联网(IoT)能够收集各种类型组件的各种信息,用于监测环境和系统。此外,作为这一演变的一部分,车辆自组织网络(vanet)的原始概念正在转变为一个新概念,即车辆互联网(IoV),其中涉及车辆对车辆(V2V),车辆对基础设施(V2I)通信以及这些(V2X)的其他变体。在本文中,回顾了围绕车联网(IoV)产生的技术和架构的最新进展,并通过IEEE 802.11p协议及其应用之一实现了智能车辆通信的模拟。提出了一种通过V2X通信提高车流量应用的车辆车队生成算法,并在仿真中实现,仿真中在城市环境的封闭路线上验证了通信质量,忽略了通信安全方面的考虑。
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引用次数: 6
Optimum Capacity over Power Consumption Requirements in MIMO Systems MIMO系统的最佳容量/功耗要求
E. Stergiou, C. Angelis, N. Giannakeas, Georgios Tsoumanis, A. Tzallas, E. Glavas
In this research work we present the evaluation of the optimum capacity to the total energy consumption in the case of multiple antenna systems (MIMO). The proposed methodology is based on a general distance function, named the General Evaluation Factor (GEF). This method was applied to MIMO networks that operate over Rayleigh fading channels with different antenna nodes. The implementation of this method was based on different capacities and cost values. The GEF indicator regarding the power consumption and the capacity factors of different MIMO systems is calculated. The channel is modelled using the Rayleigh fading approach, which is the most representative case for non-line of sight radio propagation.
在这项研究工作中,我们提出了在多天线系统(MIMO)的情况下,对总能量消耗的最佳容量的评估。提出的方法是基于一般距离函数,称为一般评价因子(GEF)。将该方法应用于具有不同天线节点的瑞利衰落信道的MIMO网络。该方法的实施是基于不同的容量和成本值。计算了不同MIMO系统的功耗和容量因子的GEF指标。该信道采用非瞄准线无线电传播最具代表性的瑞利衰落方法进行建模。
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引用次数: 0
High Precision Activity Tracker Based On The Correlation Of Accelerometer And EMG Data 基于加速度计与肌电数据关联的高精度运动跟踪
P. Faragó, R. Groza, S. Hintea
Wearable biomedical electronics are a road opener for ubiquitous healthcare. In this context, correlation of biomedical data acquired from different wearable sensors enable remote health monitoring, and eventually diagnosis and treatment. Activity tracking is an important part of remote health monitoring. For this purpose, this paper proposes a novel architecture for an activity tracker, which correlates accelerometer data with lower-limb electromyogram, in order to implement precision movement detection. The purpose of correlating accelerometer data with lower-limb electromyogram was to discriminate user movement, i.e., walking and running, from other type of activities, e.g. jumping, hand balance, etc., which lead to false increments of the step count. Tests carried out with a laboratory proof of concept of the proposed activity monitor validate the proposed architecture.
可穿戴生物医学电子设备为无处不在的医疗保健开辟了道路。在这种情况下,从不同的可穿戴传感器获取的生物医学数据的相关性可以实现远程健康监测,并最终实现诊断和治疗。活动跟踪是远程健康监测的重要组成部分。为此,本文提出了一种新的活动跟踪器架构,将加速度计数据与下肢肌电图相关联,以实现精确的运动检测。将加速度计数据与下肢肌电图相关联的目的是将用户的运动(即步行和跑步)与其他类型的活动(如跳跃、手部平衡等)区分开来,这些活动会导致错误的步数增量。使用拟议活动监控器的实验室概念验证进行的测试验证了拟议的体系结构。
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引用次数: 5
Dual Tree Complex Wavelet Transform Based Multi Carrier Communication Systems 基于对偶树复小波变换的多载波通信系统
Meltem Gömeç, Meryem Maras, Elif Nur Ayvaz, A. Özen
In this paper, DT-CWT-OFDM waveform based on dual tree complex wavelet conversion (DT-CWT) is introduced to enhance the achievement of the classical OFDM waveform. IFFT/FFT blocks used in the classical OFDM waveform are replaced with IDTCWT /DTCWT blocks in the DT-CWT-OFDM waveform. In order to confirm the achievement of the investigated waveform and compare it with the waveforms of classical OFDM and discrete wavelet conversion based OFDM (DWT-OFDM), computer simulation studies are carried out on AWGN, flat Rayleigh damping and frequency-selective Rayleigh damping channels. It is seen from the attained simulation outcomes that the DT-CWT-OFDM waveform has better achievement than the classical OFDM and DWT-OFDM waveforms and also provides approximately 6 dB SNR gain against the classical OFDM and approximately 1.5 dB SNR gain against the DWT-OFDM for a BER value of lE–4.
本文引入了基于对偶树复小波变换(DT-CWT)的DT-CWT-OFDM波形,增强了经典OFDM波形的实现效果。经典OFDM波形中使用的IFFT/FFT块被DT-CWT-OFDM波形中的IDTCWT /DTCWT块所取代。为了验证所研究波形的有效性,并将其与经典OFDM和基于离散小波变换的OFDM (DWT-OFDM)波形进行比较,对AWGN、平坦瑞利阻尼和频率选择瑞利阻尼信道进行了计算机仿真研究。从所获得的仿真结果可以看出,DT-CWT-OFDM波形比经典OFDM和DWT-OFDM波形具有更好的实现效果,并且在BER值为lE-4时,相对于经典OFDM可以提供约6 dB的信噪比增益,相对于DWT-OFDM可以提供约1.5 dB的信噪比增益。
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引用次数: 2
Method for Securing and Terminating a CS Call over a VoIP System with Multi-Device Support 支持多设备的VoIP系统中CS呼叫的保护和终止方法
David J. Khoury, Elie F. Kfoury, Joseph Ged, J. Crichigno, E. Bou-Harb
The deployment of Over-The-Top (OTT) Voice over IP (VoIP) applications has been accelerated after the adoption of high-speed communications technologies (e.g.: LTE) by mobile operators. Additionally, the high incurring costs imposed on subscribers who are roaming outside their Home Public Land Mobile Network (HPLMN) has also contributed to the widespread coverage of OTT VoIP. As a result, mobile operators are witnessing a dramatic drop on their Average Revenue per User (ARPU). Current OTT VoIP apps fail to interwork with circuit switched phone calls without compromising the security requirements imposed by regulators on MNOs. In this paper we propose a method that secures a competitive edge for mobile operators over current OTT VoIP apps. It bridges the CS with PS networks and provides full control by the operator while maintaining the same security requirements. Moreover, we propose an additional feature for enabling multi-device reachability through the subscriber’s phone number (MSISDN) which is provided by the mobile operator. The method’s implementation verifies that the system has little impact on the mobile operators infrastructure. We finally conclude by providing potential business models for MNOs to increase their ARPU and outperform OTT VoIP providers
在移动运营商采用高速通信技术(例如LTE)之后,OTT (over - top) IP语音(VoIP)应用的部署已经加速。此外,在家庭公共陆地移动网络(HPLMN)之外漫游的用户所产生的高额费用也促进了OTT VoIP的广泛覆盖。因此,移动运营商的每用户平均收益(ARPU)急剧下降。目前的OTT VoIP应用程序无法在不影响监管机构对移动网络运营商施加的安全要求的情况下与电路交换电话互通。在本文中,我们提出了一种确保移动运营商在当前OTT VoIP应用程序上具有竞争优势的方法。它将CS与PS网络连接起来,在保持相同安全要求的同时,为运营商提供完全控制。此外,我们提出了一个额外的功能,通过移动运营商提供的用户电话号码(MSISDN)实现多设备可达性。该方法的实现验证了该系统对移动运营商基础设施的影响很小。最后,我们为移动网络运营商提供了潜在的商业模式,以提高他们的ARPU,并超越OTT VoIP提供商
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引用次数: 1
A Bag of Features Approach for CEUS Liver Lesions Investigation 超声造影检查肝脏病变的一种特征包法
C. Căleanu, G. Simion
In this work a novel approach for CEUS based diagnosis is presented. We propose a spatial/image-based method using a parallel and hierarchical system architecture. As a feature extraction stage, we propose the Bag of Features (BoF) algorithm which treats image features as a bag of visual words. It is followed by a multiclass SVM classifier trained separately for each phase of the ultrasound investigation. A soft voting scheme has been proposed for the information fusion of the individual phase classifiers. The preliminary evaluation shows promising qualitative results of our approach on samples of a newly introduced CEUS dataset. Using only 550 images, (5 liver lesions x 10 pictures/lesion x 11 patients) an average accuracy of 64% has been obtained for a leave-one patient-out procedure.
本文提出了一种基于超声造影诊断的新方法。我们提出了一种基于空间/图像的方法,使用并行和分层系统架构。在特征提取阶段,我们提出了将图像特征作为视觉词包来处理的特征包算法(BoF)。其次是一个多类SVM分类器,分别为超声调查的每个阶段训练。针对各个阶段分类器的信息融合,提出了一种软投票方案。初步评估表明,我们的方法在新引入的CEUS数据集的样本上取得了有希望的定性结果。仅使用550张图像(5个肝脏病变x 10张图像/病变x 11名患者),就可以获得64%的平均准确率。
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引用次数: 4
Progress on automatic annotation of speech corpora using complementary ASR systems 基于互补ASR系统的语音语料库自动标注研究进展
Alexandru-Lucian Georgescu, H. Cucu, C. Burileanu
Deep learning techniques, requiring large amounts of training data, are currently state-of-the-art in automatic speech recognition (ASR). Corporate giants, such as Google or IBM, train English ASR systems on more than 100k hours of annotated speech, while research on under-resourced languages, such as Romanian, has to deal with as little as 300 hours. In this context, automatic annotation of speech corpora and unsupervised acoustic model training are promising directions to be explored to leverage the lack of data. This study describes the progress made by SpeeD laboratory in this research direction: using an already proven methodology, applying it on large scale (more than 700 hours of unlabeled speech) and analyzing in-depth the experimental results to identify potential future directions. Moreover, we present novel results on Romanian ASR: the methodology leads to a relative Word Error Rate (WER) improvement up to almost 10%.
深度学习技术需要大量的训练数据,是目前自动语音识别(ASR)领域最先进的技术。谷歌(Google)或IBM等企业巨头对英语自动语音识别系统进行了超过10万小时的带注释语音训练,而对资源不足的语言(如罗马尼亚语)的研究只需要300小时。在这种情况下,语音语料库的自动标注和无监督声学模型训练是利用数据缺乏的有希望探索的方向。本研究描述了SpeeD实验室在这个研究方向上取得的进展:使用一种已经被证明的方法,将其大规模应用于(超过700小时的未标记语音),并对实验结果进行深入分析,以确定潜在的未来方向。此外,我们提出了关于罗马尼亚语ASR的新结果:该方法导致相对单词错误率(WER)提高近10%。
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引用次数: 4
Deep Learning for Logo Detection Logo检测的深度学习
K. Paleček
We present a deep learning system for automatic logo detection in real world images. We base our detector on the popular framework of FasterR-CNN and compare its performance to other models such as Mask R-CNN or RetinaNet. We perform a detailed empirical analysis of various design and architecture choices and show how these can have much higher influence than algorithmic tweaks or popular techniques such as data augmentation. We also provide a systematic detection performance comparison of various models on multiple popular datasets including FlickrLogos-32, TopLogo-10 and recently introduced QMUL-OpenLogo benchmark, which allows for a direct comparison between recently proposed extensions. By careful optimization of the training procedure we were able to achieve significant improvements of the state of the art on all mentioned datasets. We apply our observations to build a detector to detect logos of the Red Bull brand in online media and images.
我们提出了一个深度学习系统,用于在真实世界的图像中自动检测徽标。我们的检测器基于流行的faster - cnn框架,并将其性能与其他模型(如Mask R-CNN或RetinaNet)进行比较。我们对各种设计和架构选择进行了详细的实证分析,并展示了这些选择如何比算法调整或数据增强等流行技术产生更大的影响。我们还在多个流行的数据集上对各种模型进行了系统的检测性能比较,包括FlickrLogos-32、TopLogo-10和最近引入的qmull - openlogo基准,这允许在最近提出的扩展之间进行直接比较。通过仔细优化训练过程,我们能够在所有提到的数据集上实现最先进状态的显着改进。我们运用我们的观察建立了一个检测器来检测在线媒体和图像中的红牛品牌标识。
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引用次数: 3
CCII Based Realization of Fractional-Order PD Controller for a Position Servo 基于CCII的位置伺服分数阶PD控制器的实现
S. Kapoulea, C. Psychalinos, J. Baranowski, W. Bauer
A fractional-order proportional-derivative (PD) controller implementation for a position servo system is presented in this paper. The main offered attractive benefit is the employment of only one second-generation current conveyor (CCII) as active element, minimizing the active component count in comparison to the conventional way of implementation where three CCIIs are required for this purpose. The behavior of the controller is evaluated using the Cadence software and MOS transistor models provided by the $0.35mu m$ Austria Mikro Systeme CMOS process.
提出了一种用于位置伺服系统的分数阶比例导数(PD)控制器的实现方法。主要提供的有吸引力的好处是只使用一个第二代电流输送机(CCII)作为有源元件,与需要三个CCII的传统实现方式相比,最大限度地减少了有源元件的数量。使用Cadence软件和由奥地利Mikro Systeme CMOS工艺提供的MOS晶体管模型对控制器的性能进行了评估。
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引用次数: 5
Microwave Hop-Length and Availability Targets for the 5G Mobile Backhaul 5G移动回程微波跳长和可用性目标
Attila Hilt
Deployment of new radio access technology offers the possibility to optimize the existing mobile backhaul. Both the new technology (5G, LTE-A) and the legacy systems (LTE, HSPA, 3G, 2G) utilize the transmission and transport capacities of the backhaul extensively. The recent introduction of 5G requires again increased capacities. Consequently, more and more cell-site locations will receive fiber-optical backbone. Depending on the topology, the existing microwave and millimeter-wave links will “turn” towards aggregation points having fiber access. The increased density of cellsites reduces the hop-lengths, meanwhile adaptive modulation also provides the possibility of capacity increase. This paper reviews the availability and fade margin targets of the new links, that shall be carefully kept by proper planning and monitoring.
新的无线接入技术的部署提供了优化现有移动回程的可能性。新技术(5G、LTE- a)和传统系统(LTE、HSPA、3G、2G)都广泛利用了回程的传输和传输能力。最近推出的5G需要再次增加容量。因此,越来越多的蜂窝站点将采用光纤主干网。根据拓扑结构的不同,现有的微波和毫米波链路将“转向”具有光纤接入的聚合点。蜂窝基站密度的增加减少了跳长,同时自适应调制也提供了容量增加的可能性。本文回顾了新链接的可用性和褪色利润目标,应通过适当的规划和监测来仔细保持。
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引用次数: 11
期刊
2019 42nd International Conference on Telecommunications and Signal Processing (TSP)
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