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2021 IEEE URUCON最新文献

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A range proof scheme analysis for the Mimblewimble cryptocurrency protocol Mimblewimble加密货币协议的范围证明方案分析
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647414
Adrián Silveira, Gustavo Betarte, M. Cristiá, C. Luna
Mimblewimble is a privacy-oriented cryptocurrency technology which provides security and scalability properties that distinguish it from other protocols of its kind. In previous work we have proposed an idealized model that captures the main features of the Mimblewimble protocol with a model-driven verification approach. In this work, we present an extension of our model to enable zero-knowledge proofs in order to prove that the transaction amount is in a certain range without revealing the value. Furthermore, we provide some security properties a range proof scheme should satisfy.
Mimblewimble是一种面向隐私的加密货币技术,它提供了与其他同类协议不同的安全性和可扩展性。在之前的工作中,我们提出了一个理想化的模型,该模型通过模型驱动的验证方法捕获了Mimblewimble协议的主要特征。在这项工作中,我们提出了我们的模型的扩展,以实现零知识证明,以证明交易金额在一定范围内而不透露价值。此外,我们还提供了范围证明方案应满足的一些安全性质。
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引用次数: 3
Pump as Turbine for Grid Flexibility in Uruguay Optimal Scale & Performance Prediction 乌拉圭以泵为汽轮机实现电网灵活性的最优规模及性能预测
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647254
Federico Sanz, J. Cataldo
Renewable variable generation incorporation to the national electric system like wind and solar brought the requirement for more flexibility in the grid. Storage technologies can contribute to it, being pumped storage the most used globally for this purpose. While traditional pumped storage trend to be more feasible at larger scales (above 250 MW), Uruguayan power system appears to need only between 10 and 30 MW to balance variable generation. Small turbines could be used for this purpose but their high price makes it many times prohibitive. Using a pump in reverse rotation, acting as a turbine generating electricity, could be a more economical alternative in order to filter generation peaks and demand fluctuations. Remarkably, any kind of pump “off the shelve” can be used as a turbine. Performance remains almost same as in pump mode, and it can be improved with small modifications such as blade tip rounding, or replacing intake for a specially deigned square section diffuser.
风能和太阳能等可再生能源发电纳入国家电力系统,对电网的灵活性提出了更高的要求。存储技术可以对此做出贡献,抽水蓄能是全球用于此目的最多的技术。虽然传统的抽水蓄能在更大的规模(250兆瓦以上)上更加可行,但乌拉圭的电力系统似乎只需要10到30兆瓦就可以平衡可变发电。小型涡轮机可以用于此目的,但其高昂的价格使其多次令人望而却步。使用反向旋转的泵作为涡轮发电,可能是一种更经济的替代方案,以过滤发电峰值和需求波动。值得注意的是,任何一种“现成”的泵都可以用作涡轮机。性能几乎与泵模式相同,并且可以通过小的修改来改善,例如叶片尖端的圆形,或更换特殊设计的方形扩散器的进气。
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引用次数: 0
Advanced Cardiovascular Life Support High Fidelity Simulator: Review and Feasibility Analysis 先进的心血管生命支持高保真模拟器:综述和可行性分析
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647239
Anibal Las, Isabel Morales, Isabel Ribeiro, Gonzalo Ferreira, F. Simini
In Uruguay, Advanced Cardiovascular Life Support training of medical students is not carried out using high-fidelity simulators. We suggest developing high-fidelity simulators, with manikins and special purpose software with performance similar to the most complete simulators on the market, or even higher. The simulation environment has the ability to adapt to national academic requirements, to improvements, all at moderate development and maintenance costs. As a feasibility study, we describe the simulator components along with a block diagram, indicating functions designed to simulate with high fidelity the main clinical conditions of Cardio-Respiratory Arrest. The suggested design includes reception of sensor signals, control of effectors, data processing, video and audio outputs, wireless transmission, control software and analysis of simulations.
在乌拉圭,没有使用高保真模拟器对医科学生进行高级心血管生命支持培训。我们建议开发高保真模拟器,配备与市场上最完整的模拟器性能相似甚至更高的人体模型和专用软件。该仿真环境具有适应国家学术要求、进行改进的能力,开发和维护成本适中。作为可行性研究,我们用方框图描述了模拟器的组件,说明了设计用于高保真地模拟心肺骤停主要临床条件的功能。建议的设计包括传感器信号的接收、效应器的控制、数据处理、视频和音频输出、无线传输、控制软件和仿真分析。
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引用次数: 0
Satellite-Based Operational Solar Irradiance Forecast for Uruguay's Solar Power Plants 基于卫星的乌拉圭太阳能发电厂运行太阳辐照度预报
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647087
R. Alonso-Suárez, Franco Marchesoni, Liber Dovat, A. Laguarda
This work presents and validates an intra-day operational solar forecast for the southern cone of South America based on GOES16 satellite images. The forecast is evaluated over 12 photovoltaic (PV) generation sites in the northwest of Uruguay. The irradiance predictions are obtained from the combination of different satellite cloudiness forecasts and a standard satellite-to-irradiance conversion model, both specifically adapted to the region. The core of the system is a Cloud Motion Vector (CMV) satellite technique, considered in different spatial resolutions. The optimal linear combination of a single-pixel and space-averaged CMV forecast with the space-averaged persistence is proposed and analyzed. The performance assessment of the individual sub-forecasts and their combination is presented for each time horizon between 10 minutes and 4 hours, with a 10 minutes time step.
这项工作提出并验证了基于GOES16卫星图像的南美洲南锥的日间业务太阳预报。该预测是对乌拉圭西北部12个光伏发电站点进行评估的。辐照度预测是结合不同的卫星云量预报和一个标准的卫星-辐照度转换模型得到的,两者都特别适合该地区。该系统的核心是云运动矢量(CMV)卫星技术,考虑了不同的空间分辨率。提出并分析了单像素和空间平均CMV预测的最优线性组合以及空间平均持久性。在10分钟至4小时之间的每个时间范围内,以10分钟的时间步长呈现单个子预测及其组合的性能评估。
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引用次数: 1
A Simple Levelized Cost Of Charging Electric Vehicles In Uruguay 乌拉圭电动汽车充电的简单平均成本
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647326
S. M. de Oca, G. Belcredi, P. Monzón
In this work, we followed a new methodology to construct an indicator that reflects an assessment of the total cost of charging a light-duty electric vehicle (EV) in Uruguay. We differentiate between private cars, taxis, and digital platforms. With the Levelized Cost of Charging (LCOC), we captured the variations related to charging sites, types of equipment, cost, and time of charging. We investigated the LCOC for residential and work/public charging sites and an average LCOC for chargeable EV, which represents the current charging patterns. We also performed a sensitivity analysis for a deeper understanding of the factors that drive the LCOC and how much the cost of charging an EV affects in Uruguay. Furthermore, this indicator was used to calculate the lifetime fuel cost of charging, which measures the total fuel saving of an EV compared with an Internal Combustion Engine Vehicle (ICEV) under similar conditions. In order to make these comparisons, we made several assumptions regarding the future oil prices, charging behaviors, types of equipment costs, and vehicle use (VMT). Finally, we compared the LCOC found for Uruguay with the LCOC for the United States.
在这项工作中,我们采用了一种新的方法来构建一个指标,该指标反映了乌拉圭轻型电动汽车(EV)充电总成本的评估。我们区分私家车、出租车和数字平台。通过充电平准化成本(LCOC),我们捕获了与充电地点、设备类型、成本和充电时间相关的变化。我们调查了住宅和工作/公共充电点的LCOC,以及代表当前充电模式的可充电电动汽车的平均LCOC。我们还进行了敏感性分析,以更深入地了解驱动LCOC的因素以及乌拉圭电动汽车充电成本的影响程度。此外,该指标还用于计算充电的终身燃料成本,该成本衡量了在类似条件下电动汽车与内燃机汽车(ICEV)相比节省的总燃料。为了进行这些比较,我们对未来的油价、充电行为、设备成本类型和车辆使用(VMT)进行了几个假设。最后,我们比较了乌拉圭的LCOC和美国的LCOC。
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引用次数: 0
Total Irradiated Dose Measurement Using N-MOST Based Oscillator 基于N-MOST振荡器的总辐照剂量测量
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647052
J. Castagnola, P. Petrashin, Agustin Laprovitta, W. Lancioni
This work presents a novel methodology for measuring gamma radiation doses, based on an OBIST (Oscillation-Based Built In Self-Testing) scheme. The studied circuit has a configuration of a Colpitts oscillator designed with three nMOS transistors. The gamma radiation incidence on the transistors produces a shift in the threshold voltage, which changes the oscillation frequency and makes it possible to measure the value of the radiation dose.
这项工作提出了一种测量伽马辐射剂量的新方法,基于OBIST(基于振荡的内置自我测试)方案。所研究的电路是由三个纳米mos晶体管组成的科尔皮茨振荡器结构。伽马辐射照射在晶体管上,使阈值电压发生位移,从而改变振荡频率,使测量辐射剂量成为可能。
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引用次数: 0
An Empirical Energy Consumption Analysis in a Cattle Geolocation Device 牛定位装置能量消耗的实证分析
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647404
Juan Pablo Becoña, A. Arnaud
In this work are presented detailed experimental energy consumption measurements of NB-IoT and GPS modules, aimed at implementing a cattle geolocation device. The objective is to combine modern low-power Internet of Things (IoT) protocols with IoT-assisted GPS location modes to allow implementing a cattle location device powered for years using a single primary battery. A data transmission energy consumption comparison is presented for NB-IoT with LoRa, as another state of the art low-power wide-area network protocol, and with GPRS, as a legacy network used for the Internet of Things, making it possible to observe the evolution of IoT networks for the agribusiness. Finally, a preliminary battery life estimation is presented.
在这项工作中,详细介绍了NB-IoT和GPS模块的实验能耗测量,旨在实现牛的地理定位设备。目标是将现代低功耗物联网(IoT)协议与物联网辅助GPS定位模式相结合,从而实现使用单个主电池供电多年的牛定位设备。介绍了NB-IoT与LoRa(另一种最先进的低功耗广域网协议)和GPRS(用于物联网的传统网络)的数据传输能耗比较,从而可以观察农业企业物联网网络的演变。最后,给出了电池寿命的初步估计。
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引用次数: 1
A Process Mining-based approach for Attacker Profiling 基于进程挖掘的攻击者分析方法
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647342
Marcelo Rodríguez, Gustavo Betarte, Daniel Calegari
Reacting adequately to cybersecurity attacks requires observing the attackers' knowledge, skills, and behaviors to examine their influence over the system and understand the characteristics associated with these attacks. Profiling an attacker allows generating security countermeasures that can be adopted even from the design of the systems. For automated attackers, e.g., malware, it is possible to identify structured behavior, i.e., a process-like behavior consisting of several (partial) ordered activities. Process Mining (PM) is a discipline from the organizational context that focuses on analyzing the event logs associated with executing the system's processes to discover many aspects of process behavior. Few proposals are applying PM to attacker profiling. In this work, we explore the use of PM techniques to identify the behavior of cyber attackers. In particular, we illustrate, using an application example, how they can be adapted to an environment dominated by automated attackers. We discuss preliminary results and provide guidelines for future work.
充分应对网络安全攻击需要观察攻击者的知识、技能和行为,以检查他们对系统的影响,并了解与这些攻击相关的特征。分析攻击者允许生成甚至可以从系统设计中采用的安全对策。对于自动攻击者,例如恶意软件,可以识别结构化行为,即由几个(部分)有序活动组成的类似过程的行为。过程挖掘(Process Mining, PM)是来自组织环境的一门学科,侧重于分析与执行系统过程相关的事件日志,以发现过程行为的许多方面。很少有建议将PM应用于攻击者分析。在这项工作中,我们探索使用PM技术来识别网络攻击者的行为。特别地,我们将使用一个应用程序示例来说明如何使它们适应由自动化攻击者主导的环境。我们讨论初步结果,并为今后的工作提供指导。
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引用次数: 1
Human activity recognition using machine learning techniques in a low-resource embedded system 在低资源嵌入式系统中使用机器学习技术的人类活动识别
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647236
Ilana Stolovas, Santiago Suarez, Diego Pereyra, Francisco De Izaguirre, Varinia Cabrera
Human activity recognition aims to infer a person's actions from a set of observations captured by several sensors. Data acquisition, processing and inference on edge devices add a complexity factor to the task, as they involve a trade-off between hardware efficiency and performance. We present a prototype of a wearable device that identifies a person's activity: walking, running or staying still. The system consists of a Texas Instruments MSP-EXP430G2ET launchpad, connected to a BOOSTXL-SENSORS boosterpack with a BMI160 accelerometer. The designed prototype can take acceleration measurements, process them and either transmit them to a computer or classify the activity in the microcontroller. Additionally, our system has LEDs to display coloured signals according to the inferred activity in real-time. The classification algorithm is based on the calculation of statistical features (mean, standard deviation, maximum and minimum) for each accelerometer axis, the application of a dimensionality reduction algorithm (LDA, Linear Discriminant Analysis) and an SVM (Support Vector Machines) classification model.
人类活动识别的目的是从几个传感器捕获的一组观察结果中推断出一个人的行为。边缘设备上的数据采集、处理和推断增加了任务的复杂性,因为它们涉及硬件效率和性能之间的权衡。我们展示了一个可穿戴设备的原型,它可以识别一个人的活动:走路、跑步或静止不动。该系统由一个德州仪器MSP-EXP430G2ET发射台组成,连接到一个带有BMI160加速度计的BOOSTXL-SENSORS增压包。所设计的样机可以进行加速度测量,并对其进行处理,然后将其传输到计算机或在微控制器中对活动进行分类。此外,我们的系统有led根据推断的活动实时显示彩色信号。该分类算法基于计算加速度计各轴的统计特征(均值、标准差、最大值和最小值),应用降维算法(LDA, Linear Discriminant Analysis)和SVM(支持向量机)分类模型。
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引用次数: 0
Constructive Heuristic Algorithm in Multi-Start Structure Applied in Distribution Systems Expansion Planning 多启动结构的构造启发式算法在配电系统扩展规划中的应用
Pub Date : 2021-11-24 DOI: 10.1109/urucon53396.2021.9647046
Matheus De Almeida, C. M. D. Da Rocha, R. L. B. de Freitas
This paper presents a constructive heuristic algorithm in a multi-start structure applied to planning the expansion of medium voltage overhead distribution lines to supply electricity to current and future customers. This algorithm, through its multi-start feature, establishes a set of viable radial topologies, considering the lowest construction costs, lowest electrical losses, and lowest voltage profiles of a system. For this process, the algorithm considers normalized weights and random numbers aiming at a larger search field for a solution. The problem is represented by a nonlinear mathematical model and the solution is constructively obtained in an iterative way. At each iteration, a sensitivity indicator is used to decide which circuit to build. Computational tests were performed to evaluate the algorithm's performance. The results obtained in the simulations showed that the algorithm finds a set of viable and good-quality solutions.
本文提出了一种多启动结构的建设性启发式算法,用于规划中压架空配电线路的扩建,以向当前和未来的用户供电。该算法通过其多启动特性,建立了一组可行的径向拓扑结构,考虑了系统的最低建设成本、最低电力损耗和最低电压分布。在此过程中,算法考虑归一化权值和随机数,目标是在更大的搜索范围内寻找解。该问题用非线性数学模型表示,并以迭代的方式构造求解。在每次迭代中,使用一个灵敏度指示器来决定构建哪个电路。通过计算测试来评估算法的性能。仿真结果表明,该算法找到了一组可行且质量良好的解。
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引用次数: 0
期刊
2021 IEEE URUCON
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