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2021 IEEE URUCON最新文献

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Quantum circuit design using neural networks assisted by entanglement 利用神经网络辅助的量子电路设计
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647233
Carolina Allende, Efrain Buksman, A. F. De Oliveira
This work introduces a novel structure based on universal quantum circuits which uses classical machine learning techniques in order to solve a quantum problem: the decomposition of a generic quantum operator into a sequence of elementary unitary matrices (universal basic quantum gates). Even though the postulates of quantum mechanics guarantee any unitary operation as a feasible operation over a quantum system, there is no simple method to implement an arbitrary algorithm. By means of a multilayer hybrid neural network in which the basic cell is made up of CNOTs and universal one-qubit unitary gates, this work offers a solution to the given problem. These specific gates were chosen since they are the gates available in real quantum computers such as IBMQ's quantum processors. The network learns the unitary gates classically using the method of the steepest descent and is aided in learning the entangling gates by the use of two types of quantum correlations: Mutual Information (MI) and Cumulative Correlation Measure (CCM). The algorithm implemented in this case is a type of supervised learning. The results show that the model fits the data gracefully and correctly predicts a wide range of algorithms.
这项工作介绍了一种基于通用量子电路的新结构,它使用经典的机器学习技术来解决量子问题:将一般量子算子分解为一系列初等酉矩阵(通用基本量子门)。尽管量子力学的假设保证了量子系统上的任何单一操作都是可行的,但没有简单的方法来实现任意算法。通过多层混合神经网络,其中的基本单元由cnos和通用的一量子位一元门组成,本工作提供了一个解决给定问题的方法。之所以选择这些特定的门,是因为它们是实际量子计算机(如IBMQ的量子处理器)中可用的门。该网络经典地使用最陡下降法学习酉门,并通过使用两种类型的量子相关:互信息(MI)和累积相关度量(CCM)来辅助学习纠缠门。在这种情况下实现的算法是一种监督学习。结果表明,该模型能很好地拟合数据,并能正确地预测各种算法。
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引用次数: 0
Special Session: Bionic limbs and neurorehabilition of pain 专题会议:仿生肢体和疼痛的神经康复
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647162
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引用次数: 0
Blockchain and IoT - Challenges and Its Role in Security: A Brief Overview 区块链和物联网-挑战及其在安全中的作用:简要概述
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647292
Jefferson Yallico Tapia, D. Avila-Pesantez
Versatility is the main intrinsic characteristic of Blockchain, making this technology applicable to a great variety of fields such as Agriculture, Healthcare, Artificial Intelligence, Smart Cities, and many others, all of them within the Internet of Things environment and aimed to its integration. This paper presents a detailed review of IoT fields in which Blockchain is currently being applied, the challenges they face towards their integration, and the current role of Blockchain concerning the security environment. The authors used inclusion and exclusion criteria, and as a result, 164 articles ranging from 2018 to 2021 were utilized to fulfill this objective. Additionally, the authors found 11 environments where Blockchain is being integrated. Moreover, a quantitative study was carried out to determine which of the challenges are the focus of attention.
多功能性是区块链的主要内在特征,使这项技术适用于各种领域,如农业、医疗保健、人工智能、智慧城市等,所有这些领域都在物联网环境中,并旨在实现其集成。本文详细回顾了区块链目前在物联网领域的应用,它们在整合过程中面临的挑战,以及区块链目前在安全环境中的作用。作者使用了纳入和排除标准,因此,从2018年到2021年的164篇文章被用于实现这一目标。此外,作者还发现了11个集成区块链的环境。此外,还进行了一项定量研究,以确定哪些挑战是关注的焦点。
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引用次数: 1
On the Energy Efficiency of One-Layer SISO Rate-Splitting Multiple Access 单层SISO分频多址的能效研究
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647240
Wilson De Souza Junior, Victor Croisfelt, T. Abrão
Rate-splitting multiple access (RSMA) combines the concepts of non-orthogonal multiple access (NOMA) and space-division multiple access (SDMA) to provide higher sum-rates (SRs). In particular, one-layer RSMA splits the users' message into two parts: a single common message for all users and a private message for each user. In this work, we consider the problem of maximizing the downlink (DL) energy efficiency (EE) for one-layer RSMA subject to specific quality of service (QoS) constraints and under consideration of a single-input single-output (SISO) system. The solution to this multi-objective problem depends on finding: i) the optimal DL transmit powers, ii) the optimal rate allocation, and iii) the optimal radio frequency (RF) transmit power that must be selected by the base station (BS) so as to obtain the best EE. Thus, we decouple the original problem into three sub-problems that find each part of the solution sequentially. We take advantage of an earlier solution available in the literature for the first two decoupled sub-problems and extend it to an algorithm that maximizes the EE. Numerical results demonstrate consistent performance bounds of our proposed algorithm to the optimal EE values, comparing them to NOMA and orthogonal multiple access (OMA) solutions.
RSMA (Rate-splitting multiple access)结合了非正交多址(NOMA)和空分多址(SDMA)的概念,以提供更高的和速率(SRs)。特别是,单层RSMA将用户的消息分成两部分:所有用户的单个公共消息和每个用户的私有消息。在这项工作中,我们考虑了在特定服务质量(QoS)约束下单层RSMA的下行链路(DL)能效(EE)最大化的问题,并考虑了单输入单输出(SISO)系统。这个多目标问题的解决取决于找到:i)最优DL发射功率,ii)最优速率分配,以及iii)基站(BS)为获得最佳EE而必须选择的最优射频(RF)发射功率。因此,我们将原始问题解耦为三个子问题,这些子问题依次找到解决方案的每个部分。我们利用文献中提供的前两个解耦子问题的早期解决方案,并将其扩展为最大化EE的算法。数值结果表明,与NOMA和正交多址(OMA)解决方案相比,我们提出的算法的性能边界与最优EE值一致。
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引用次数: 2
Marco para la implementación de microrredes coordinadas con Blockchain en Uruguay
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647149
Bonillo Pena Ramon Alfredo, Perez Mendez Daniel Alejandro
Marco para la implementación de microrredes coordinadas con Blockchain en Uruguay
在乌拉圭实施区块链协调微电网的框架
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引用次数: 1
Evaluation of color transfer algorithm in IR images nocturnal scenes 红外图像夜间场景色彩转移算法的评价
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647378
André Herrera-Chacón, L. Chavarría-Zamora
Color transfer is one of the main concerns on automatic colorization of gray-scale images [1]. Modern approaches were created based on Welsh's colorization algorithm, improving the core method but relying on specialized hardware. In this paper, we explored a series of algorithms, previously tested in gray-scale image scenarios, to colorize night-vision images on common security systems using affordable hardware. In addition, we demonstrated the efficiency of borrowing color from standard to IR images applying a similarity function integrating luminance information and chromatic values of previously colorized pixels [2].
色彩转移是灰度图像自动上色的主要问题之一[1]。现代的方法是基于威尔士的着色算法,改进了核心方法,但依赖于专门的硬件。在本文中,我们探索了一系列算法,之前在灰度图像场景中测试过,使用价格合理的硬件在普通安全系统上对夜视图像进行着色。此外,我们还证明了利用相似性函数积分亮度信息和先前着色像素的颜色值,将标准图像的颜色借用到红外图像的效率[2]。
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引用次数: 0
Evaluating the Licklider Transmission Protocol using Software-Defined Radio 利用软件定义无线电评估Licklider传输协议
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647383
Dharun Anandayuvaraj, R. Lent
The Licklider Transmission Protocol (LTP) is a standard convergence layer for the Bundle Protocol that is suitable for lossy and long-delay channels. It is part of the Delay-Tolerant Networking architecture that is being developed for space and other challenged networks. In this study, the performance sensitivity of LTP to the choice of the maximum payload size and the signal loss is experimentally verified. This parameter determines how data blocks get segmented and directly affects the total amount of header overhead involved in the data transmissions. While large segments are expected to produce less total overhead than small segments, they entail a larger loss probability which may extend the delivery latency due to the extra sessions needed to handle the segment retransmissions. A series of tests were conducted with the ION-DTN reference implementation of the protocol running over a channel with controllable gain provided by Universal Software Radio Peripherals (USRP), i.e., software-defined radio (SDR). The measurements confirm the tradeoffs involved in the payload size selection and the receive signal level of the channel.
LTP (Licklider Transmission Protocol)是Bundle协议的标准收敛层,适用于有损和长延迟信道。它是为空间和其他具有挑战性的网络开发的容忍延迟网络体系结构的一部分。在本研究中,通过实验验证了LTP对最大有效载荷大小和信号损耗选择的性能敏感性。该参数决定数据块如何分段,并直接影响数据传输中涉及的报头开销的总量。虽然大的数据段比小的数据段产生更少的总开销,但由于处理数据段重传需要额外的会话,它们带来了更大的损失概率,这可能会延长传输延迟。在通用软件无线电外设(USRP)(即软件定义无线电(SDR))提供的具有可控增益的信道上,使用该协议的ION-DTN参考实现进行了一系列测试。测量结果确认了有效载荷大小选择和信道接收信号电平所涉及的权衡。
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引用次数: 0
Special Session: Hybrid Quantum-Classical Computing: Challenges and Opportunities 专题会议:混合量子经典计算:挑战与机遇
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647187
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引用次数: 0
Failure Prediction in Automatic Reclosers Using Machine Learning Approaches 基于机器学习方法的自动重合闸故障预测
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647250
S. B. Righetto, L. T. Hattori, Guilherme Goncalves Nunes, E. G. Carvalho, M. A. Martins, S. de Francisci
Industry 4.0 opened new frontiers of the Smart Grid (SG) area to understand the behavior of the power grid assets. The asset sensor data stored has been supporting the analysis of the life cycle. Also, it helps to improve predictive maintenance activities. On the other hand, Machine Learning approaches have been achieving the current state-of-the-art in many problems of the SG area. In this context, this paper proposes a preliminary study using ML methods to predict failure in Automatic Reclosers (ARs). In this work, we compare five ML methods: Naive Bayes (NB), Deep Neural Network (DNN), Decision Tree (DT), Gradient Boosted Tree (GBT), and Random Forest (RF). A dataset was generated with temperature information and historical data of the ARs sensors. The failures were labeled using a rule-based approach proposed by the AR specialists. Among the ML methods, RF obtained the best result with 82.47% F1-Score in the test set, indicating a promising result for the failure prediction area.
工业4.0开辟了智能电网(SG)领域的新领域,以了解电网资产的行为。存储的资产传感器数据一直支持着生命周期的分析。此外,它还有助于改进预测性维护活动。另一方面,机器学习方法在SG领域的许多问题上已经达到了目前的最高水平。在此背景下,本文提出了使用机器学习方法预测自动重合闸(ARs)失效的初步研究。在这项工作中,我们比较了五种机器学习方法:朴素贝叶斯(NB)、深度神经网络(DNN)、决策树(DT)、梯度增强树(GBT)和随机森林(RF)。利用温度信息和ar传感器的历史数据生成数据集。使用AR专家提出的基于规则的方法对故障进行标记。在ML方法中,RF获得了最好的结果,在测试集中获得了82.47%的F1-Score,表明在故障预测领域有很好的结果。
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引用次数: 0
Improving the Serious Game design using Game Learning Analytics and Eye-tracking: A pilot study 利用游戏学习分析和眼球追踪改进严肃游戏设计:一项试点研究
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647058
D. Avila-Pesantez, Brandon Alexander Tubon Usca, Bryan Gagnay Angamarca, L. Avila
It is necessary to consider metrics that integrate Game Learning Analytics (GLA) and technologies that improve user interfaces through the eye tracker to get better the Serious Games design. In this work, the Math4Fun game was developed using the ADDE methodology to support basic math operations for 7-year-old children, which allowed efficient communication to define the game's critical elements. The GLA metrics were implemented with eXperience API (xAPI) standard and visualized through a real-time dashboard, while Eye-tracking technology working with fixation time analysis on the game's interfaces improves gameplay and design. The results established that combining the GLA indicators with the user interface components obtained from the evaluation with eye-tracking allows redefining concepts in the design and programming inside SG in search of constant improvement.
有必要考虑整合游戏学习分析(GLA)和通过眼动仪改善用户界面的技术的指标,以改善严肃游戏的设计。在这项工作中,Math4Fun游戏是使用ADDE方法开发的,以支持7岁儿童的基本数学运算,这允许有效的沟通来定义游戏的关键元素。GLA指标通过体验API (xAPI)标准实现,并通过实时仪表板可视化,而眼球追踪技术与游戏界面上的固定时间分析一起工作,改善了游戏玩法和设计。结果表明,将GLA指标与通过眼动追踪评估获得的用户界面组件相结合,可以在SG内部的设计和编程中重新定义概念,以寻求不断改进。
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引用次数: 1
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2021 IEEE URUCON
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