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2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)最新文献

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A 2D Discrete Chaotic Memristive Map and Its Application in Robot’s Path Planning 二维离散混沌记忆映射及其在机器人路径规划中的应用
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493389
Eleftherios K. Petavratzis, C. Volos, A. Ouannas, H. Nistazakis, K. Valavanis, I. Stouboulos
In this work, for the first time, the use of a discrete memristive chaotic system for controlling the motion of a mobile robot is presented. The main goal is to cover as soon as possible a given area with the least number of motion commands. Firstly, the analysis of the proposed system is presented in details. After the selection of the set of parameters and initial conditions, in order for the system to be chaotic, it is applied in a mobile robot’s path planning problem. The simulation results proved that there is a lower limit in the system’s integration step h where its performance is efficient. Also, the same technique was applied in the case of a vacuum cleaning robot. As it is observed from the simulation results the robot managed to cover almost all of the given area in a satisfactory number of motion commands avoiding the collision with the placed obstacles.
在这项工作中,首次提出了使用离散记忆混沌系统来控制移动机器人的运动。主要目标是用最少数量的运动命令尽快覆盖给定区域。首先,对所提出的系统进行了详细的分析。在参数集和初始条件选定后,为了使系统混沌化,将其应用于移动机器人的路径规划问题。仿真结果表明,在系统的积分步骤h中存在一个下限,在此下限下系统的性能是有效的。同样的技术也应用于真空清洁机器人。从仿真结果中可以看出,机器人以令人满意的运动命令数量覆盖了几乎所有给定区域,避免了与放置的障碍物的碰撞。
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引用次数: 2
A New Temperature-Based Model for the Reset Transition on ReRAM Memristive Devices 基于温度的ReRAM记忆器件复位过渡新模型
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493413
M. M. A. Chawa, R. Tetzlaff, S. Stavrinides, Carol de Benito, R. Picos
In this paper we consider Resistive switching RAM (ReRAM) devices as memristors and we introduce a memristor model in flux-charge domain rather than the usually prefered voltage-current one. We employ the proposed model during the high resistance state of the device. We relate the parameters of the memristor model with a state variable, the temperature, by using a quasi-static thermal model. The emerging results using this simple model show a very good agreement with the experimental ones, correspondingly.
本文将电阻开关RAM (ReRAM)器件视为忆阻器,并引入磁通电荷域的忆阻器模型,而不是通常采用的电压电流域的忆阻器模型。我们在器件的高阻状态下采用了所提出的模型。我们用一个准静态热模型把忆阻器模型的参数与状态变量温度联系起来。用这个简单模型得到的结果与实验结果吻合得很好。
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引用次数: 0
A Stochastic Switched Capacitor Memristor Emulator 随机开关电容忆阻器仿真器
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493391
Carol de Benito, O. Camps, M. M. A. Chawa, S. Stavrinides, R. Picos
In this paper we present a mixed-signal circuit able to emulate the behavior of a memristive system. Specifically, we propose a memristor emulator design using a Switched Capacitor (SCME) plus a control part implemented using stochastic computing. The switched capacitor technique is used to implement a controllable resistor, which is controlled by signals generated using a stochastic computing implementation of a basic memristor equations.
在本文中,我们提出了一种能够模拟记忆系统行为的混合信号电路。具体来说,我们提出了一个使用开关电容(SCME)和使用随机计算实现的控制部分的忆阻器仿真器设计。利用开关电容技术实现了一个可控电阻器,该电阻器由一个基本忆阻器方程的随机计算实现产生的信号控制。
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引用次数: 2
Fish Morphological Feature Recognition Based on Deep Learning Techniques 基于深度学习技术的鱼类形态特征识别
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493407
N. Petrellis
The object features in an image or a video frame can be determined as a number of landmarks detected with the assistance of Deep Learning techniques. In this paper, object detection and image segmentation are initially performed to isolate a fish in an image and then eight landmarks are aligned in order to measure the fish dimensions and the position of its mouth and fins. Four popular Mediterranean fish species have been used in this study: Merluccius merluccius (cod fish), Dicentrarchus labrax (sea bass), Sparus aurata (sea bream) and Diplodus puntazzo. The first three of these species are grown in fish farms. For this reason, monitoring the morphological features of these fishes in their environment is of particular interest for ichthyologists and the proposed method can serve this purpose. The proposed method has been developed using Convolution Neural Networks and OpenCV in Python and MATLAB applications. The accuracy in the estimation of the fish dimensions for an initial data set with 20 images/species, ranges between 80% and 91% while the fins are located with an accuracy of up to 93%.
在深度学习技术的帮助下,图像或视频帧中的物体特征可以确定为检测到的许多地标。本文首先进行目标检测和图像分割,从图像中分离出一条鱼,然后对齐8个地标,测量出鱼的尺寸以及鱼嘴和鳍的位置。在这项研究中使用了四种常见的地中海鱼类:Merluccius Merluccius(鳕鱼),Dicentrarchus labrax(鲈鱼),Sparus aurata(海鲷)和Diplodus puntazzo。前三种鱼是在养鱼场养殖的。因此,监测这些鱼类在其环境中的形态特征是鱼类学家特别感兴趣的,所提出的方法可以达到这一目的。该方法已在Python和MATLAB应用程序中使用卷积神经网络和OpenCV开发。在包含20幅图像/物种的初始数据集中,估计鱼类尺寸的准确度在80%至91%之间,而定位鳍的准确度高达93%。
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引用次数: 0
A Survey on Hardware Failure Prediction of Servers Using Machine Learning and Deep Learning 基于机器学习和深度学习的服务器硬件故障预测研究综述
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493360
Nikolaos Georgoulopoulos, Alkiviadis A. Hatzopoulos, Konstantinos Karamitsios, Irene-Maria Tabakis, Konstantinos Kotrotsios, Alexandros I. Metsai
As modern server systems increase in volume and density, more and more hardware failures are generated, resulting in system breakdown. The conventional mechanisms for monitoring and checking the behavior of hardware parts, such as the hard disk drive (HDD), the RAM and the CPU, are not considered a dynamic approach for hardware failure prediction. On the other hand, machine learning (ML) and deep learning (DL) methods can assist to effectively predict hardware errors at a sufficient amount of time before they actually occur. In this work, a survey is presented on hardware failure prediction techniques for servers using ML and DL methods, with a focus on HDD, RAM and CPU issues. These techniques are categorized based on the ML or DL algorithm they use for the prediction process. The basic features of each work (used dataset, system type, HDD/RAM/CPU focus, error types etc.) are demonstrated. Additionally, certain statistic results from the various prediction methods are displayed, concluding in some crucial discussion on the existing literature.
随着现代服务器系统体积和密度的增加,产生的硬件故障越来越多,从而导致系统崩溃。用于监视和检查硬件部件(如硬盘驱动器(HDD)、RAM和CPU)行为的传统机制不被认为是硬件故障预测的动态方法。另一方面,机器学习(ML)和深度学习(DL)方法可以在硬件错误实际发生之前的足够时间内有效地预测硬件错误。在这项工作中,对使用ML和DL方法的服务器硬件故障预测技术进行了调查,重点是HDD, RAM和CPU问题。这些技术根据它们用于预测过程的ML或DL算法进行分类。演示了每个工作的基本特征(使用的数据集、系统类型、HDD/RAM/CPU焦点、错误类型等)。此外,还展示了各种预测方法的某些统计结果,并对现有文献进行了一些重要的讨论。
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引用次数: 2
Junctionless Carbon Nanotube Field-Effect Transistors as Gas Nanosensors for Low-Power Environment Monitoring Applications 无结碳纳米管场效应晶体管作为气体纳米传感器用于低功耗环境监测
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493417
K. Tamersit
In this paper, the role of junctionless (JL) paradigm in boosting the gas sensing performance of carbon nanotube field-effect transistors (CNTFETs) is investigated. The gas-induced work function modulation is adopted as gas sensing principle. The computational study uses the non-equilibrium Green’s function simulation. The considered sensing metric is the ratio of change in drain current. It has been found that the CNTFET-based gas nanosensor exhibits improved sensitivity in subthreshold regime, which is very beneficial for ultra-low power gas sensing applications. A sensitivity analysis has also been performed while revealing the sensitivity trends versus the change in different gas nanosensor parameters. More importantly, the consideration of junctionless paradigm, which is beneficial in terms of simplifying the fabrication processes, is found efficient in improving the subthreshold sensitivity. The obtained results indicate that the JL CNTFET-based gas nanosensors can serve the cutting edge gas sensing applications.
本文研究了无结(JL)模式在提高碳纳米管场效应晶体管(cntfet)气敏性能中的作用。气敏原理采用气致功函数调制。计算研究采用非平衡格林函数模拟。考虑的传感度量是漏极电流的变化率。研究发现,基于cntfet的气体纳米传感器在亚阈值范围内表现出更高的灵敏度,这对超低功耗气体传感应用非常有利。灵敏度分析揭示了灵敏度随不同气体纳米传感器参数变化的趋势。更重要的是,考虑无连接点范式有利于简化制造工艺,有效地提高了阈下灵敏度。研究结果表明,JL型cntfet气体纳米传感器可以满足尖端气体传感应用的需要。
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引用次数: 0
Incremental Lagrangian Relaxation based Discrete Gate Sizing and Threshold Voltage Assignment 基于增量拉格朗日松弛的离散栅极尺寸和阈值电压分配
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493338
Dimitrios Mangiras, G. Dimitrakopoulos
Timing closure remains one of the most critical challenges of a physical synthesis flow. Even if timing is almost closed at the end of the flow, last-mile placement and routing congestion optimizations may introduce new timing violations. Correcting such violations needs minimally disruptive techniques such as threshold voltage re-assignment and gate sizing that affect only marginally the placement and routing of the almost finalized design. To this end, we transform a powerful Lagrangian-relaxation-based optimizer, used for global timing optimizations at the early stages of the design flow, to a practical incremental timing optimizer that corrects small timing violations with fast runtime and without increasing the area/power of the design. By applying the proposed approach to the optimized designs of the ISPD 2013 gate sizing contest that experience new timing violations due to local wire rerouting, we improve timing by more than 36% on average, using 45% less runtime, when compared to the fully-fledged version of the timing optimizer.
定时关闭仍然是物理合成流中最关键的挑战之一。即使在流的末尾计时几乎关闭,最后一英里的位置和路由拥塞优化也可能引入新的计时违规。纠正这种违规需要最小的破坏性技术,如阈值电压重新分配和栅极尺寸,仅影响几乎最终设计的放置和路由。为此,我们将一个强大的基于拉格朗日松弛的优化器(用于设计流程早期阶段的全局定时优化)转换为一个实用的增量定时优化器,该优化器可以在不增加设计面积/功率的情况下,通过快速运行来纠正小的定时违规。通过将所提出的方法应用于ISPD 2013门尺寸竞赛的优化设计中,与完全成熟的定时优化器相比,我们平均提高了36%以上的定时,减少了45%的运行时间。
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引用次数: 3
On the BER Performance of OOK FSO Links with Receivers’ Diversity and Time Jitter over Strong Turbulence Channels 强湍流信道中考虑接收机分集和时间抖动的OOK FSO链路的误码率性能
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493393
P. J. Gripeos, H. Nistazakis, E. Roditi, G. D. Roumelas, G. Tombras, C. Volos
Free Space Optical (FSO) communications have increasingly emerged in the last decade because of their unparalleled, inherent advantages like the high data rate communications with minimal costs. However, the performance of FSO communications systems is severely limited due to numerous agents. One of the deteriorating contributors is the scintillation effect due to atmospheric turbulence, causing rapid fluctuations of the receiving signal’s intensity. Turbulence strength depends on the current weather conditions and can be estimated from many available statistical models proposed. Also, time jitter is another deteriorating contributor, which causes additional impairments to the link’s throughput due to an either early or late misdetection of the received optical pulse’s center. Especially inevitable, time jitter affects high data rate communications, where the corresponding detector’s time slot is quite short. One hopeful FSO performance improvement solution employs the receiver’s diversity technique. In this work new mathematical expressions for the estimation of the average BER performance of NRZ or RZ OOK FSO links with receivers’ diversity are derived. The strong atmospheric turbulence effect is modeled with K - distribution. In addition, time jitter effect is studied, for the first time to the best of the authors’ knowledge, with the generalized Gaussian distribution. Useful numerical results and interesting conclusion are also listed in this work.
自由空间光通信(FSO)在过去十年中日益兴起,因为它具有无与伦比的固有优势,如以最小的成本实现高数据速率通信。然而,无线光通信系统的性能受到众多代理的严重限制。其中一个恶化的贡献者是由于大气湍流引起的闪烁效应,引起接收信号强度的快速波动。湍流强度取决于当前的天气条件,可以根据许多现有的统计模型来估计。此外,时间抖动是另一个恶化的贡献者,由于接收光脉冲中心的早期或晚期误检测,它会对链路的吞吐量造成额外的损害。尤其不可避免的是,时间抖动会影响高数据速率的通信,在这种情况下,相应的检测器的时隙很短。一种有希望改善FSO性能的解决方案采用了接收机的分集技术。本文推导了随接收机分集变化估计NRZ或RZ OOK FSO链路平均误码率的新数学表达式。用K -分布模拟了强大气湍流效应。此外,在作者所知的范围内,首次用广义高斯分布研究了时间抖动效应。文中还列举了一些有用的数值结果和有趣的结论。
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引用次数: 1
Performance Evaluation of LoRa Networks in an Open Field Cultivation Scenario 开放式耕作场景下LoRa网络的性能评价
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493416
Aikaterini Griva, A. Boursianis, Shaohua Wan, P. Sarigiannidis, G. Karagiannidis, S. Goudos
The employment of Internet of Things (IoT) technology in agriculture could be beneficial in managing the cultivation production in a highly-customizable way. LoRa (Long Range) is one of the most important technologies in cultivation fields mainly thanks to its ability to provide long-range transmission and low power consumption. In this paper, we evaluate the performance of LoRa networks in an open field cultivation scenario via simulations using FLoRa, an open-source framework in OMNeT++. The number of nodes, the number of gateways, the antenna gain, and the size of the deployment area have a considerable impact on both the data extraction rate and the energy consumption of a LoRa network. Our results show that the optimization of the parameters that affect the performance of a LoRa network could transform traditional agriculture into a new perspective of smart cultivation. Finally, we evaluate the impact of the density and the geometric characteristics of three types of crop (tomatoes, grapes, apples) on the number of intersections that were caused by the insertion of physical objects-obstacles in a LoRa network.
物联网(IoT)技术在农业中的应用有助于以高度可定制的方式管理种植生产。LoRa (Long Range)技术具有远距离传输和低功耗的特点,是目前农业领域最重要的技术之一。在本文中,我们通过使用omnet++中的开源框架FLoRa进行模拟,评估了LoRa网络在开放田间种植场景下的性能。节点数量、网关数量、天线增益和部署区域的大小对LoRa网络的数据提取速率和能耗都有相当大的影响。我们的研究结果表明,优化影响LoRa网络性能的参数可以将传统农业转变为智能种植的新视角。最后,我们评估了三种作物(西红柿、葡萄、苹果)的密度和几何特征对LoRa网络中物理物体障碍物插入造成的交叉点数量的影响。
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引用次数: 3
Dual-hop Blockchain Radio Access Networks for Advanced Coverage Expansion 用于高级覆盖扩展的双跳区块链无线接入网
Pub Date : 2021-07-05 DOI: 10.1109/MOCAST52088.2021.9493339
Theofilos Sachinidis, Alexandros-Apostolos A. Boulogeorgos, P. Sarigiannidis
Dynamic dual-hop relaying network topologies that enable access to end-users through intermediate individual and commercial, static as well as moving, infrastructures are expected to become fundamental pillars of the sixth generation wireless systems. Their main requirement is to ensure end-user’s information privacy. Motivated by this, the current contribution focuses on introducing a dual-hop blockchain radio access network (DH-BRAN) topology for dynamic coverage expansion. To analyze the performance of this topology, we present the theoretical framework that captures its characteristics. Building upon it, the DH-BRAN performance, in terms of latency and waiting probability, are quantified. Our results reveal that DR-BRAN can be employed in several realistic use-cases and that there exists a trade-off between latency and security.
动态双跳中继网络拓扑能够通过中间的个人和商业、静态和移动基础设施访问最终用户,预计将成为第六代无线系统的基本支柱。它们的主要要求是确保最终用户的信息隐私。受此推动,目前的贡献侧重于引入双跳区块链无线接入网(DH-BRAN)拓扑,以实现动态覆盖扩展。为了分析这种拓扑的性能,我们提出了捕捉其特征的理论框架。在此基础上,就延迟和等待概率而言,对DH-BRAN性能进行了量化。我们的研究结果表明,DR-BRAN可以用于几个实际用例,并且在延迟和安全性之间存在权衡。
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引用次数: 1
期刊
2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST)
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