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

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TSP 2019 Organizing Committee Members TSP 2019组委会成员
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引用次数: 0
Palmprint recognition based on ultrasound imaging 基于超声成像的掌纹识别
A. Iula, Monica Micucci
Biometric recognition systems based on ultrasound images have been investigated for several decades, and nowadays ultrasonic fingerprint sensors are fully integrated in portable devices. Main advantage of the Ultrasound over other technologies are the possibility to collect 3D images, allowing to gain information on under-skin features, which improve recognition accuracy and resistance to spoofing. Also, ultrasound images are not sensible to several skin contaminations, humidity and not uniform ambient illumination. An ultrasound system, able to acquire 3D images of the human palm has been recently proposed. In this work, a recognition procedure based on 2D palmprint images collected with this system is proposed and evaluated through verification experiments carried out on a home made database composed of 141 samples collected from 24 users. Perspective of the proposed method by upgrading the recognition procedure to provide a 3D template able to accounts for palm lines’ depth are finally highlighted and discussed.
基于超声图像的生物特征识别系统已经研究了几十年,如今超声指纹传感器已经完全集成在便携式设备中。与其他技术相比,超声波的主要优势是可以收集3D图像,从而获得有关皮下特征的信息,从而提高识别精度和抗欺骗能力。此外,超声波图像对几种皮肤污染、湿度和不均匀的环境照明不敏感。最近提出了一种能够获取人类手掌三维图像的超声系统。在这项工作中,提出了一种基于该系统收集的2D掌纹图像的识别程序,并通过在来自24个用户的141个样本组成的自制数据库上进行验证实验来评估。最后重点讨论了该方法通过升级识别程序来提供能够考虑掌纹深度的三维模板的观点。
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引用次数: 2
Superresolution of MRI brain images using unbalanced 3D Dense-U-Net network 利用非平衡3D Dense-U-Net网络实现MRI脑图像的超分辨率
M. Kolarík, Radim Burget, V. Uher, Lukas Povoda
This paper proposes an unbalanced end-to-end trained 3D Dense-U-Net network for brain MRI images superresolution. We evaluated capabilites of the proposed architecture on upsampling the MRI brain scans in the factor of 2, 4 and 8 and compared the results with resampled images using lanczos, spline and bilinear interpolation achieving best results. While the network does not exceed superresolution capabilites of state-of-the-art GAN networks, it does not require large dataset, is easy to train and capable of processing 3D images in resolution suitable for medical image processing.
提出了一种用于脑MRI超分辨率图像的非平衡端到端训练三维Dense-U-Net网络。我们以2、4和8为因子评估了所提出的架构对MRI脑部扫描进行上采样的能力,并将结果与使用lanczos、样条和双线性插值进行重采样的图像进行了比较,获得了最佳结果。虽然该网络不超过最先进的GAN网络的超分辨率能力,但它不需要大型数据集,易于训练,并且能够以适合医学图像处理的分辨率处理3D图像。
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引用次数: 7
On The Coexistence Of LTE And Wi-Fi In The 2.4 Ghz ISM Band 2.4 Ghz ISM频段LTE与Wi-Fi共存研究
L. Polak, Jiří Miloš, J. Blumenstein, S. Rozum, Jan Kufa, M. Slanina, T. Fryza, T. Kratochvil
The increasing demand for high data rate in broadband mobile and wireless networks pushes providers to effectively utilize a wide range of radio frequency (RF) spectrum, especially in the unlicensed bands. The expansion of Long Term Evolution (LTE) telecommunication services in the license-free GHz bands can result in unwanted coexistence scenarios with the Wireless Fidelity (Wi-Fi) networks. This paper deals with the study of such scenarios in the 2.4GHz Industrial, Scientific and Medical band. The robustness of the LTE system against interferences is evaluated at the physical layer level. For this purpose, error vector magnitude (EVM) and carrier-to-interference (C/I) values are measured and calculated, respectively. The results of laboratory measurements show that the robustness of the LTE system is highly depending on the specific IEEE 802.11 technology used in the interfering Wi-Fi network.
宽带移动和无线网络对高数据速率的需求日益增长,促使提供商有效地利用广泛的无线电频率(RF)频谱,特别是在未经许可的频段。长期演进(LTE)电信业务在免许可GHz频段的扩展可能导致与无线保真度(Wi-Fi)网络共存的不希望出现的情况。本文对2.4GHz工业、科学和医疗频段的这些场景进行了研究。LTE系统对干扰的鲁棒性在物理层进行了评估。为此,分别测量和计算误差矢量幅度(EVM)和载波对干扰(C/I)值。实验室测量结果表明,LTE系统的鲁棒性高度依赖于干扰Wi-Fi网络中使用的特定IEEE 802.11技术。
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引用次数: 4
Joint Network and Mode Selection in 5G Multi RAT Heterogeneous Networks 5G多鼠异构网络中的联合网络与模式选择
Ahmed I. Abdulshakoor, M. M. Elmesalawy, Noha A. Elmosilhy, Ahmed M. Abd El-Haleem
The unexpected explosion of mobile data traffic has led to that the cellular networks are overloaded. Long term evolution (LTE) wireless local area networks (WLAN) aggregation (LWA) has recently emerged as a developed solution of mobile data offloading. In this paper, a multi-RAT heterogeneous network (HetNet) is considered, where three mode categories are defined, LTE mode, WiFi mode, and aggregation mode. A non-collocated LWA scenario is considered for the aggregation mode, in which a wireless backhaul link is connecting LTE with WLAN networks. We use the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in order to arrange the available modes and their own stations, according to several metrics and based on the user requirements. Thus, helping for optimum mode and network selection that will improve the system performance while satisfying the user requirements. The analytical results show the importance of taking the effect of the backhaul during the mode selection process and how the backhaul link affects the overall performance.
移动数据流量的意外爆炸导致了蜂窝网络的过载。长期演进(LTE)无线局域网(WLAN)聚合(LWA)是近年来发展起来的一种移动数据卸载解决方案。本文考虑了一个多rat异构网络(HetNet),其中定义了三种模式:LTE模式、WiFi模式和聚合模式。聚合模式考虑非并置的LWA场景,其中无线回程链路连接LTE和WLAN网络。我们使用TOPSIS (Order Preference of Order by Similarity to Ideal Solution)技术,根据用户需求,根据几个指标来安排可用的模式和它们自己的站点。因此,有助于在满足用户需求的同时提高系统性能的最佳模式和网络选择。分析结果表明了在模式选择过程中考虑回程影响的重要性,以及回程链路对整体性能的影响。
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引用次数: 3
Russian Sign Language Dactyl Recognition 俄语手语长短格识别
Ilya Makarov, Nikolay Veldyaykin, M. Chertkov, Aleksei Pokoev
In this paper, we compare several real-time sign language dactyl recognition systems and present a new model based on deep convolutional neural networks. These systems are able to recognize Russian alphabet letters presented as static signs in Russian Sign language used by people from deaf community. In such an approach, we recognize words from Russian natural language presented by consequent hand gestures of each letter. We evaluate our approach on Russian (RSL) sign language, for which we collect our own dataset and evaluate dactyl recognition.
本文通过对几种实时手语指格识别系统的比较,提出了一种基于深度卷积神经网络的实时手语指格识别模型。这些系统能够识别在聋哑人使用的俄罗斯手语中作为静态符号呈现的俄罗斯字母。在这种方法中,我们通过每个字母的后续手势来识别俄语自然语言中的单词。我们评估了我们在俄语(RSL)手语上的方法,为此我们收集了自己的数据集并评估了dactyl识别。
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引用次数: 3
Power Detector Based On Voltage Squaring 基于电压平方的功率检测器
S. Vlassis, Giannis Gialenios, G. Souliotis, F. Plessas
This paper presents a novel power detector using a voltage squaring circuit as power sensing element. The proposed solution features low power capabilities, extendable input range and low distortion. The circuit is designed for 1.8V supply voltage and 50A current consumption. The maximum input voltage range is designed to be 250mV and non-linearity is less than 1% for 14dB dynamic range. The circuit is tested using 65nm CMOS triple well process and simulation results verify the theoretical analysis.
本文提出了一种采用电压平方电路作为功率传感元件的新型功率检测器。该方案具有低功耗、可扩展输入范围和低失真等特点。该电路的设计电压为1.8V,电流消耗为50A。最大输入电压范围设计为250mV,在14dB动态范围内非线性小于1%。采用65nm CMOS三阱工艺对电路进行了测试,仿真结果验证了理论分析的正确性。
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引用次数: 0
SDR All-channels Receiver for FHSS Sensor Network in Cortex-M 基于Cortex-M的FHSS传感器网络SDR全通道接收机
Tomáš Jakubík, Jiri Jenícek
This article describes implementation of a special software defined receiver for a frequency hopping sensor network. The receiver is implemented on LPC4370 Cortex-M MCU with R820T2 RF demodulator. The resulting prototype can receive frequency modulated packet on any of 51 frequency channels. That enables star topology frequency hopping network to have unsynchronized sleeping sensors with fast reaction times. The principles explained in this article are valuable not only for this network, but as well for implementation of any software defined receiver with low cost and reasonable power consumption.
本文描述了一种用于跳频传感器网络的特殊软件定义接收机的实现。接收机采用R820T2射频解调器,在LPC4370 Cortex-M单片机上实现。所得到的原型可以在51个频率通道中的任何一个上接收调频包。这使得星型拓扑跳频网络具有快速反应时间的非同步睡眠传感器。本文解释的原理不仅对该网络有价值,而且对实现任何低成本和合理功耗的软件定义接收器也有价值。
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引用次数: 1
An Efficient and Robust Zero-Bit Watermarking Technique for Biometric Image Protection 一种高效鲁棒的零比特水印技术用于生物特征图像保护
Ankita Dwivedi, Ankit Kumar, M. Dutta, Radim Burget, Vojtech Myska
Protection of data is becoming a crucial task in digital world. This paper proposes a concept for securing biometric data using zero watermarking. Biometric data like a fingerprint, iris, etc. in which unique characters reside, but it may lead to an undesired situation if an attacker tries to copy it from a distributed database. The paper introduces a zero-bit watermarking scheme in iris image. Unlike in conventional watermarking, the watermarked image gets tempered due to distortion of pixels of an image. This paper proposes a robust zero-bit watermarking scheme in which a digital pattern is generated using a unique features from the iris image without tampering the host image. This method uses SVD and DWT for performing zero-bit watermarking and making it stable against several image processing attacks. The features of iris are unique, so the developed algorithm prevents data from duplicity or piracy issues.
在数字时代,数据保护正成为一项至关重要的任务。本文提出了一种利用零水印保护生物特征数据的概念。生物特征数据,如指纹、虹膜等,其中存在唯一字符,但如果攻击者试图从分布式数据库复制它,可能会导致不希望的情况。介绍了一种零比特虹膜图像水印方案。与传统水印不同的是,水印后的图像会由于图像像素的畸变而得到调质。本文提出了一种鲁棒的零比特水印方案,该方案在不篡改主图像的情况下,利用虹膜图像的唯一特征生成数字模式。该方法使用SVD和DWT进行零比特水印,使其在多种图像处理攻击下保持稳定。虹膜的特征是独一无二的,因此所开发的算法可以防止数据的重复或盗版问题。
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引用次数: 6
Increasing Energy Efficiency by Minimizing Collisions in Long-Range IoT Networks 通过减少远程物联网网络中的碰撞来提高能源效率
J. Pullmann, Dominik Macko
This paper is focused on increasing communication efficiency of IoT devices by minimizing collisions. We have analysed the existing collision-resolution techniques and used the acquired knowledge to specify a new collision-resolution technique. The proposal consists of a communication protocol for low speed, long range IoT networks with a large number of IoT sensors. The Access Point enables planning of periodically repeated communication into timeslots, which are organized in the transmission timetable. For each timeslot, only one IoT device is assigned to send data. This approach results in collision reduction, which leads to lower power consumption of IoT End Devices.
本文的重点是通过最小化碰撞来提高物联网设备的通信效率。我们分析了现有的碰撞解决技术,并利用所获得的知识来指定一种新的碰撞解决技术。该提案包括用于具有大量物联网传感器的低速长距离物联网网络的通信协议。该接入点能够将周期性重复的通信规划到在传输时间表中组织的时隙中。对于每个时隙,只分配一个物联网设备来发送数据。这种方法可以减少碰撞,从而降低物联网终端设备的功耗。
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引用次数: 5
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2019 42nd International Conference on Telecommunications and Signal Processing (TSP)
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