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2022 International Young Engineers Forum (YEF-ECE)最新文献

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True Random Number Generator Implemented in 130 nm CMOS Nanotechnology 真随机数发生器实现在130纳米CMOS纳米技术
Pub Date : 2022-07-01 DOI: 10.1109/YEF-ECE55092.2022.9849994
Pedro Monteiro, Luís Oliveira, João Casaleiro
Random generators systems have the capacity to generate cryptographic keys which, when mixed with the information, hide it in an efficient and timely manner. There are two categories of RNG, being truly random (TRNG) or pseudorandom (PRNG). To study the entropy source based on the noise of an oscillator, and to achieve that, an RNG circuit was designed to have a low power consumption, a high randomness and a low cost and area usage. The chosen architecture for this paper is a hybrid RNG, which uses oscillators and a chaotic circuit to generate the random bits. With the simulation of the circuit, it was found to be at the objectives mark, having a low power consumption of 1.19 mW, a high throughput of 25 Mbit/s and an energy per bit of 47.6 pJ/bit. However, due to limitations with the simulation, it wasn’t possible to run all the statistical tests, although all the ran tests were passed.
随机生成系统具有生成密钥的能力,当密钥与信息混合在一起时,可以有效和及时地隐藏密钥。RNG有两类,真正随机(TRNG)和伪随机(PRNG)。为了研究基于振荡器噪声的熵源,设计了一种低功耗、高随机性、低成本和低面积占用的RNG电路。本文选择的结构是混合RNG,它使用振荡器和混沌电路来产生随机比特。通过对电路的仿真,发现它处于目标标记处,具有1.19 mW的低功耗,25 Mbit/s的高吞吐量和47.6 pJ/bit的每比特能量。但是,由于模拟的限制,不可能运行所有的统计测试,尽管所有运行的测试都通过了。
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引用次数: 0
Low-Cost Multi-Frequency Eddy Current Coating Thickness Measurement System 低成本多频涡流涂层厚度测量系统
Pub Date : 2022-07-01 DOI: 10.1109/YEF-ECE55092.2022.9850131
Ana C. Santos, Andrea Barrancos, Luís Filipe Soldado Granadeiro Rosado, F. Janeiro
A low-cost coating thickness gauge based on Eddy Current Testing (ECT) is reported in this paper. This measurement system employs a Direct Digital Synthesizer (DDS) to generate pure sinusoidal stimulus applied to a measurement coil whose impedance varies with the measured coating thickness. The coil current and voltage are digitally acquired using an ARM Cortex M4F microcontroller where sine-fitting digital signal processing algorithms are applied to estimate the coil inductance and resistivity at different operation frequencies. Post-processing implements a simple multi-frequency estimate algorithm providing accuracy improvements around 10% when compared with the use of a single frequency.
本文报道了一种基于涡流检测的低成本涂层测厚仪。该测量系统采用直接数字合成器(DDS)产生纯正弦刺激,应用于测量线圈,其阻抗随测量涂层厚度而变化。采用ARM Cortex M4F微控制器对线圈电流和电压进行数字采集,并采用正弦拟合数字信号处理算法估计不同工作频率下线圈的电感和电阻率。后处理实现了一种简单的多频估计算法,与使用单一频率相比,准确度提高了10%左右。
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引用次数: 1
IoT Based Targeting System - Airsoft Use-Case 基于物联网的目标系统- Airsoft用例
Pub Date : 2022-07-01 DOI: 10.1109/YEF-ECE55092.2022.9850155
Martim Vieira, J. Matos-Carvalho, S. D. Correia, Rui Manuel Tavares
With the wide adoption of Internet of Things (IoT) devices, controller modules have become increasingly smaller and cheaper, allowing their use for a broader range of applications. This paper approaches the design and demonstration of a Targeting system commonly implemented with the help of cabling systems (reading sensors nearby), here replaced by an IoT solution. To fulfill the proposed objective, a Wemos D1 Mini module integrated with a smartphone that gives control of the network to the user is combined to create an airsoft target system that is easily controlled via a smartphone in a dynamic environment. When the target is hit, it communicates the event back to the smartphone to give it back to the user. In turn, the smartphone will control different game modes and send commands back to the targets. The microcontroller on the target’s side will acquire information from sensors and transmit these readings back to the smartphone. The solution approach is wireless and includes batteries that provide sufficient energy for the game’s duration.
随着物联网(IoT)设备的广泛采用,控制器模块变得越来越小,越来越便宜,可以用于更广泛的应用。本文探讨了通常在布线系统(附近的读取传感器)的帮助下实现的目标系统的设计和演示,这里由物联网解决方案取代。为了实现提出的目标,将Wemos D1 Mini模块与智能手机集成在一起,将网络控制权交给用户,从而创建了一个可在动态环境中通过智能手机轻松控制的airsoft目标系统。当目标被击中时,它会将事件发送回智能手机,并将其返回给用户。反过来,智能手机将控制不同的游戏模式,并向目标发送命令。目标侧的微控制器将从传感器获取信息,并将这些读数传回智能手机。解决方案是无线的,并包括为游戏持续时间提供足够能量的电池。
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引用次数: 0
YEF-ECE 2022 Cover Page
Pub Date : 2022-07-01 DOI: 10.1109/yef-ece55092.2022.9850147
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引用次数: 0
YEF-ECE 2022 Author Index YEF-ECE 2022作者索引
Pub Date : 2022-07-01 DOI: 10.1109/yef-ece55092.2022.9850054
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引用次数: 0
Simulation and Control of a Cyber-Physical Elevator Prototype 网络-物理电梯样机的仿真与控制
Pub Date : 2022-07-01 DOI: 10.1109/YEF-ECE55092.2022.9850218
D. Santos, Luís Brito Palma, Vasco Brito
This paper is focused on the development of a new cyber-physical system pertaining a freight lift (elevator) prototype. A simulator of the physical component of the prototype was also developed, joined by a graphical user interface which can be used for controlling and monitoring both the real and virtual prototypes, acting as a digital Human-Machine Interface. The main contributions are: a) a new physical lift (elevator) prototype for demonstration of cyber-physical systems; b) a robust automation/control system with multiple upgrade options for future projects, according to industrial specifications; c) a simulator that can be used as a teaching tool for future automation/control students. The experimental results prove the overall good performance of the developed cyber-physical elevator prototype.
本文的重点是一个新的信息物理系统的开发有关货运电梯(电梯)的原型。开发了样机物理部件的仿真器,并加入了图形用户界面,可用于控制和监视真实和虚拟样机,充当数字人机界面。主要贡献有:a)用于演示网络物理系统的新型物理升降机(电梯)原型;B)一个强大的自动化/控制系统,为未来的项目提供多种升级选项,根据工业规范;C)一个模拟器,可以作为未来自动化/控制专业学生的教学工具。实验结果表明,所开发的网络物理电梯样机总体性能良好。
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引用次数: 0
Applying Deep Neural Networks to Improve UAV Navigation in Satellite-less Environments 应用深度神经网络改进无卫星环境下无人机导航
Pub Date : 2022-07-01 DOI: 10.1109/YEF-ECE55092.2022.9850152
Ricardo Santos, J. Matos-Carvalho, Slavisa Tomic, M. Beko, S. D. Correia
In this work, a novel algorithm based on machine learning to tackle the navigation problem of Unmanned Aerial Vehicle (UAV) in satellite-less surroundings is presented. The proposed network is trained by exploiting the outputs of a Generalized Trust Region Sub-problem (GTRS) method, after which a deep Long Short-Term Memory (LSTM) model is applied to predict the drone’s position. We present here our preliminary findings which indicate high potential and utility of machine learning tools for the problem of interest. More precisely, the results reveal improved accuracy, while matching the execution time of the GTRS method. Moreover, the proposed method also reveals lower susceptibility to noise; in practice, these two factors combined can be the difference between the UAV colliding with an obstacle or not.
本文提出了一种基于机器学习的无卫星环境下无人机导航算法。利用广义信任域子问题(GTRS)方法的输出对网络进行训练,然后利用深度长短期记忆(LSTM)模型预测无人机的位置。我们在这里提出了我们的初步发现,表明机器学习工具在感兴趣的问题上具有很高的潜力和实用性。更精确地说,结果显示精度提高,同时符合GTRS方法的执行时间。此外,该方法对噪声的敏感性较低;在实际操作中,这两个因素的结合可以决定无人机是否与障碍物发生碰撞。
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引用次数: 6
Proposal of an IoT Architecture for Greenhouse Monitoring 温室监测物联网架构方案
Pub Date : 2022-07-01 DOI: 10.1109/YEF-ECE55092.2022.9850210
Victor Lisnic, Filipa Ferrada, P. Correia
Agriculture is an industry that is essential for the food supply for the world population. Although this industry is so important, there are many challenges associated with it, such as the pollution/waste present in the agricultural practices and the aging of the farmers. The application of technological solutions can provide a way to solve these challenges, by retrieving data from the physical environment, based on which future decisions can be taken, using actuators. The goal of this work is to present an architecture through which the different layers can communicate with each other’s, and then based on this architecture develop a system that can help monitor the agricultural fields. The project is applied in a controlled environment (a greenhouse), and the objective is to verify both the waste of water within the cultures, and if there are benefits in changing the plastics used on top of the soil in terms of production, from the traditional one (black), to a plastic that is white and thicker.
农业是为世界人口提供食物所必需的工业。尽管这个行业如此重要,但也存在许多与之相关的挑战,例如农业实践中存在的污染/废物和农民的老龄化。技术解决方案的应用可以为解决这些挑战提供一种方法,即通过执行器从物理环境中检索数据,从而在此基础上做出未来的决策。这项工作的目标是提出一个架构,通过这个架构,不同的层可以相互通信,然后基于这个架构开发一个系统,可以帮助监测农业领域。该项目应用于一个受控的环境(温室),目的是验证在培养中浪费的水,以及在生产方面改变土壤表面使用的塑料是否有好处,从传统的(黑色)到白色和更厚的塑料。
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引用次数: 1
B2G (Buggy-to-Grid): Vehicle-to-Grid (V2G) concept in microgrids with strong penetration of electric vehicles B2G(车到网):电动汽车渗透率高的微电网中的车到网(V2G)概念
Pub Date : 2022-07-01 DOI: 10.1109/YEF-ECE55092.2022.9850048
Guilherme Santos, J. Pina, Ricardo Belem
This paper aims to evaluate the potential of integrating Vehicle-to-Grid (V2G) technology into a golf course, together with a self-consumption Photovoltaic (PV) system, by using the surplus generated energy to charge the golf buggies and later discharging it according to the course needs. The Dom Pedro Golf Course, located in the south of Portugal, is used as a case study. Its PV system compromises 244 solar panels with 97.6 kWp total, and a predicted annual first-year generation of 176.70 MWh and 9.34 MWh of surplus, that the buggies could discharge through V2G technology. With these integrated technologies, the first year of investment results includes 87% Performance Ratio (PR), 100% of Self-Consumption Ratio (SCR), and 35% Self-Sufficiency Ratio (SSR), while the Benefit-Cost Ratio (BCR) of the V2G technology alone for the whole considered investment horizon of ten years is 1.79. An economic assessment of the project showed that results followed the same positive trend, with a Net Present Value (NPV) of 50,353.42€, an Internal Rate of Return (IRR) of 13%, a Payback Period (PP) of seven years, and a Levelized Cost of Energy (LCOE) of 0.1315 €/kWh, suggesting a beneficial and feasible result for the investment period.
本文旨在评估将汽车到电网(V2G)技术与自用光伏(PV)系统整合到高尔夫球场的潜力,利用产生的剩余能量为高尔夫球车充电,然后根据球场需要进行放电。位于葡萄牙南部的Dom Pedro高尔夫球场被用作案例研究。其光伏系统包括244块太阳能电池板,总容量为97.6 kWp,预计第一年的年发电量为176.70 MWh,剩余电量为9.34 MWh,可通过V2G技术排放。通过这些集成技术,第一年的投资结果包括87%的Performance Ratio (PR), 100%的Self-Consumption Ratio (SCR)和35%的Self-Sufficiency Ratio (SSR),而仅V2G技术在整个考虑的十年投资期限内的效益成本比(BCR)为1.79。对该项目的经济评估表明,结果也遵循了同样的积极趋势,净现值(NPV)为50353.42欧元,内部收益率(IRR)为13%,投资回收期(PP)为7年,能源平准化成本(LCOE)为0.1315欧元/千瓦时,表明投资期内的结果是有益和可行的。
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引用次数: 0
A Software Defined Radio Implementation of Physical Layer Security Using MIMO-SVD 用MIMO-SVD实现物理层安全的软件无线电实现
Pub Date : 2022-07-01 DOI: 10.1109/YEF-ECE55092.2022.9850114
João Madeira, João Guerreiro, R. Dinis
In the current technological era, 5G and 6G mobile networks are trusted to provide crucial services for our daily lives and society as a whole. Therefore, these technologies must be resilient to potential security breaches by malicious users. In fact, due to the nature of wireless communications, the signal transmitted between legitimate users can be listened to by any other non legitimate user, which can be exploited by a passive eavesdropping user to steal data. It is therefore desirable to employ transmission techniques that provide a Physical Layer security (PLS) to reduce the effectiveness of an eavesdropper attack.The effectiveness of the PLS techniques should be accessed in a practical communication scenario using real hardware. However, the development of a Application Specific Integrated Circuit (ASIC) transceiver can be significantly expensive. Alternatively, the algorithms can be implemented in a Software Defined Radio (SDR) platform, which allows for a cheaper and faster development of custom signal processing algorithms. In this work, we seek to answer the research question "Can a wireless system that utilizes channel information for PLS, be implemented efficiently in an SDR platform?", showing that such a system can be easily and efficiently implemented using modern SDR peripherals and the Gnuradio development framework. It is demonstrated that the proposed prototype achieves excellent levels of PLS, while maintaining a high data rate.
在当今科技时代,5G和6G移动网络为我们的日常生活和整个社会提供了至关重要的服务。因此,这些技术必须能够抵御恶意用户的潜在安全破坏。实际上,由于无线通信的性质,合法用户之间传输的信号可以被任何其他非合法用户侦听,这可以被被动窃听用户利用来窃取数据。因此,希望采用提供物理层安全性(PLS)的传输技术来降低窃听者攻击的有效性。应该在使用真实硬件的实际通信场景中访问PLS技术的有效性。然而,开发专用集成电路(ASIC)收发器可能非常昂贵。或者,算法可以在软件定义无线电(SDR)平台中实现,这允许更便宜和更快地开发自定义信号处理算法。在这项工作中,我们试图回答研究问题“利用PLS信道信息的无线系统能否在SDR平台中有效实现?”,表明这样的系统可以使用现代SDR外设和Gnuradio开发框架轻松有效地实现。结果表明,所提出的原型在保持高数据速率的同时,实现了优异的PLS水平。
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引用次数: 0
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2022 International Young Engineers Forum (YEF-ECE)
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