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2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)最新文献

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UAV saffran monitoring process 无人机监控藏红花过程
Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837638
Konstantinos Kiropoulos, Foteini Dimaraki, Dimosthenis C. Tsouros, S. Bibi
The use of Unmanned Aerial Vehicles (UAVs) in the field of Precision Agriculture (PA) is becoming more wide-spread, as the great benefits they offer are recognized by more and more farmers around the world. A UAV can fully inspect or spray arable land and crops, in just a few minutes. Farmers can use the spatial maps, photos and reports that can be produced with the help of these inspections to collect useful information in order to increase productivity and reduce costs. Drones have already been used for remote sensing in many different types of crop and environments, with great results. In this paper, we present the process adopted for monitoring remotely saffron cultivations with the use of UAVs in the Western Macedonia region of Greece, in an effort to reduce labor and costs.
无人驾驶飞行器(uav)在精准农业(PA)领域的应用越来越广泛,因为它们提供的巨大好处被越来越多的世界各地的农民所认识。无人机可以在几分钟内全面检查或喷洒耕地和作物。农民可以利用在这些检查的帮助下生成的空间地图、照片和报告来收集有用的信息,以提高生产力并降低成本。无人机已经在许多不同类型的作物和环境中用于遥感,并取得了巨大的成果。在本文中,我们提出了在希腊西马其顿地区使用无人机远程监测藏红花种植的过程,以减少劳动力和成本。
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引用次数: 0
Digital Control Implementation for PV Cell-Level Inverters 光伏电池级逆变器的数字控制实现
Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837576
Nick Delianidis, Nick Rigogiannis, N. Papanikolaou, S. Siskos, E. Koutroulis
This paper presents the design procedure of the digital control unit of an on-chip photovoltaic (PV) cell-level DC/AC inverter. Its main blocks are presented, along with their interconnections and timing, whereas the state diagram, based on the sinusoidal pulse width modulation (SPWM) is given, for both grid-tied and standalone operation. The proposed digital control unit is experimentally validated in a laboratory test bench, comprising four full-bridge (H-bridge) inverters in cascaded configuration. The TMS320F28379D microcontroller is employed, as it is suitable for such applications. Finally, experimental results indicate the operational characteristics of the proposed digital control scheme, being the first step for on-chip integration.
本文介绍了片上光伏电池级直流/交流逆变器的数字控制单元的设计过程。给出了其主要模块及其互连和时序,并给出了基于正弦脉宽调制(SPWM)的并网和独立运行的状态图。所提出的数字控制单元在实验室测试台上进行了实验验证,其中包括四个级联配置的全桥(h桥)逆变器。采用TMS320F28379D微控制器,适合此类应用。最后,实验结果表明了所提出的数字控制方案的工作特性,这是片上集成的第一步。
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引用次数: 3
Virtual-Channel Flow Control Across Mesochronous Clock Domains 跨中时时钟域的虚拟通道流量控制
Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837772
G. Dimitrakopoulos, Anastasios Psarras, C. Nicopoulos
The Network-on-Chip (NoC) is physically spread over the entire chip and it should readily support communication across multiple clock domains. In NoCs, the synchronization required for sending data across clock domains should be seamlessly combined with the flow control rules that govern data transfer on NoC links. In this work, we focus on implementing virtual-channel flow control on links that connect NoC components placed across mesochronous clock domains. In mesochronous interfaces, the connected modules receive the same clock signal but the edges of the arriving clock signals exhibit an unknown phase relationship. To this end, we propose FastCross a loosely-coupled synchronization architecture for NoC links with VC flow control that simplifies hardware implementation by enabling VC buffer sharing and interface consolidation.
片上网络(NoC)物理上分布在整个芯片上,它应该很容易支持跨多个时钟域的通信。在NoC中,跨时钟域发送数据所需的同步应该与管理NoC链路上数据传输的流控制规则无缝结合。在这项工作中,我们专注于在连接跨中时时钟域的NoC组件的链路上实现虚拟通道流量控制。在中同步接口中,连接的模块接收相同的时钟信号,但到达的时钟信号的边缘表现出未知的相位关系。为此,我们提出了一种带有VC流控制的NoC链路松耦合同步架构FastCross,通过支持VC缓冲区共享和接口整合来简化硬件实现。
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引用次数: 0
Cross-Correlation assisted and Time-Difference-of-Arrival based leak source localization on fluid-filled pipelines 基于互相关辅助和到达时间差分的充液管道泄漏源定位
Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837640
Kostas Angelopoulos, G. Glentis
In this paper a study of the Cross-Correlation (CC) based, Time Difference of Arrival (TDOA) method for leak source localization on fluid-filled, metallic pipelines is presented. Several, frequency domain CC estimators (General Cross-Correlators or GCC) are considered for the implementation of the localization technique, while real leakage, vibro-acoustic dataseries, captured from a real workplace building’s tap water pipe installation are utilized within the current analysis. Certain metrics like the rate of acceptable leak positioning results against all localization estimation experiments conducted, as well as the Relative Localization Error (LRE) of the accepted estimations are calculated and illustrated in order to shed light on the performance characteristics of the TDOA approach (in general and also per adopted CC estimator). The above study is pursued within the framework of project ESTHISIS, with end target the development of a smart sensor system for leakage detection in pipes carrying hydrocarbon products.
本文研究了一种基于互相关(CC)的到达时差(TDOA)方法在充液金属管道泄漏源定位中的应用。为了实现定位技术,考虑了几个频域CC估计器(通用交叉相关器或GCC),同时在当前分析中使用了从真实工作场所的自来水管道安装中捕获的真实泄漏振动声学数据集。为了阐明TDOA方法(一般情况下以及每个采用的CC估计器)的性能特征,计算并说明了某些指标,如针对所有进行的定位估计实验的可接受泄漏定位结果的比率,以及可接受估计的相对定位误差(LRE)。上述研究在ESTHISIS项目框架内进行,最终目标是开发一种用于烃类产品输送管道泄漏检测的智能传感器系统。
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引用次数: 0
Experimental Coverage Performance of a Chaotic Autonomous Mobile Robot 混沌自主移动机器人的实验覆盖性能
Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837564
Eleftherios K. Petavratzis, C. Volos, L. Moysis, H. Nistazakis, A. Giakoumis, I. Stouboulos
This work, presents the design and the implementation of a mobile robot that can cover given workspaces. The motion commands have been produced by a chaotic system which gives high "randomness" to its behavior. For the implementation of the robot a microcontroller has been used (Arduino Uno). Moreover, the obstacle avoidance has been achieved by using an ultrasonic sensor, which enables the tracking and avoidance of placed obstacles. As a result, the motion trajectory becomes smoother. The robot’s behavior has been studied in scenarios with different starting positions showing promising results.
这项工作,提出了一个移动机器人的设计和实现,可以覆盖给定的工作空间。运动指令是由一个混沌系统产生的,它的行为具有很高的“随机性”。机器人的实现使用了微控制器(Arduino Uno)。此外,通过使用超声波传感器实现了避障,实现了对放置的障碍物的跟踪和避障。因此,运动轨迹变得更加平滑。在不同起始位置的情况下,对机器人的行为进行了研究,结果令人鼓舞。
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引用次数: 1
A General Model for Metal Oxide-Based Memristors and Application in Filters 金属氧化物基忆阻器的通用模型及其在滤波器中的应用
Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837766
V. Mladenov, S. Kirilov, Ivan D. Zaykov
Memristors are novel and hopeful electronic memory components. They might be potential substitution of the CMOS elements. Owing to their nano dimensions, low power consumption and memorizing properties, the memristors could be applied in artificial neural networks, memory matrices, programmable analog and digital schemes and other electronic circuits. In this work, a modified and simple, fast operating transition metal oxide-based memristor model is proposed. Its respective LTSPICE library model is created and effectively analyzed in simple memristor-based analog filters. The model’s operation is in agreement with the main patterns of the memristive elements. Its correct functioning and applicability in memristor-based electronic circuits is confirmed.
忆阻器是一种新颖而有希望的电子存储元件。它们可能是CMOS元件的潜在替代品。由于其纳米尺寸、低功耗和记忆特性,忆阻器可以应用于人工神经网络、记忆矩阵、可编程模拟和数字方案以及其他电子电路中。本文提出了一种改进的、简单的、快速运行的过渡金属氧化物基忆阻器模型。创建了各自的LTSPICE库模型,并在简单的基于忆阻器的模拟滤波器中进行了有效分析。该模型的运行与记忆元素的主要模式一致。验证了其在忆阻器电子电路中的正确功能和适用性。
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引用次数: 1
A TinyML-based system for gas leakage detection 基于tinyml的气体泄漏检测系统
Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837510
Anargyros Gkogkidis, Vasileios Tsoukas, Stefanos Papafotikas, Eleni Boumpa, A. Kakarountas
Internet of Things devices are commonly utilized in smart homes to provide smart services such as lighting, entertainment, and easy access, but they are also employed to warn occupants in the event of an emergency. Due to the computationally intensive nature of existing Neural Network implementations, data must be transmitted to the cloud for analysis to produce intelligent machines. TinyML is a promising approach that the scientific community has proposed as a method of constructing autonomous and secure devices that can collect, analyze, and output data without requiring it to be transferred to remote entities. This work presents a TinyML-based system for detecting hazardous gas leaks. The system may be trained to detect irregularities and notify occupants using BLE technology via a message sent to their smartphones, as well as through an integrated screen. Two different test cases are presented and evaluated via experiments. For the smoke detection test case the system achieved an F1-Score of 0.77, whereas for the ammonia test case the evaluation metric of F1-Score is 0.70.
物联网设备通常用于智能家居,以提供照明、娱乐和方便访问等智能服务,但它们也用于在紧急情况下向居住者发出警告。由于现有神经网络实现的计算密集型性质,数据必须传输到云端进行分析以产生智能机器。TinyML是一种很有前途的方法,科学界已经将其作为构建自主和安全设备的方法提出,这些设备可以收集、分析和输出数据,而不需要将数据传输到远程实体。本文提出了一个基于tinyml的有害气体泄漏检测系统。该系统可以通过训练来检测不正常情况,并通过发送到智能手机或集成屏幕的BLE技术通知居住者。提出了两个不同的测试用例,并通过实验进行了评估。对于烟雾探测测试用例,系统达到了F1-Score 0.77,而对于氨测试用例,F1-Score的评价指标为0.70。
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引用次数: 4
Autism detection in High-Functioning Adults with the application of Eye-Tracking technology and Machine Learning 眼动追踪技术与机器学习在高功能成人自闭症检测中的应用
Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837653
Konstantinos-Filippos Kollias, Christine K. Syriopoulou-Delli, P. Sarigiannidis, George F. Fragulis
High-Functioning Autism Detection in Adults is significantly difficult compared with early Autism Spectrum Disorder (ASD) diagnosis with severe symptoms. ASD diagnosis is usually achieved by behavioural instruments relying on subjective rather on objective criteria, whereas advances in research indicate cutting -edge methods for early assessment, such as eye-tracking technology, machine learning, Internet of Things (IoT), and other assessment tools. This study suggests the detection of ASD in high-functioning adults with the contribution of Transfer Learning. Decision Trees, Logistic Regression and Transfer Learning were applied on a dataset consisting of high-functioning ASD adults and controls, who looked for information within web pages. A high classification accuracy was achieved regarding a Browse (80.50%) and a Search (81%) task showing that our method could be considered a promising tool regarding automatic ASD detection. Limitations and suggestions for future research are also included.
与早期症状严重的自闭症谱系障碍(ASD)相比,成人高功能自闭症的检测显着困难。ASD诊断通常是通过依赖主观而非客观标准的行为工具来实现的,而研究的进展表明了早期评估的前沿方法,如眼动追踪技术、机器学习、物联网(IoT)和其他评估工具。本研究提示高功能成人ASD的检测与迁移学习有关。决策树、逻辑回归和迁移学习应用于一个由高功能ASD成人和对照组组成的数据集,他们在网页中寻找信息。在浏览(80.50%)和搜索(81%)任务上取得了很高的分类准确率,表明我们的方法可以被认为是一种很有前途的ASD自动检测工具。并提出了对未来研究的限制和建议。
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引用次数: 4
A Methodology for Writer Identification, With Application to An Important Historical Greek Document 作者鉴定的方法论——以一份重要的希腊历史文献为例
Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837539
E. Koukoutsis, A. R. Mamatsis, George Tsavdaridis, E. Mamatsi, Athanasios Delis, Dimitris Arabadjis, C. Papaodysseus
In the present work, a general methodology is introduced for the determination of the writer of a given document, provided that texts of the same hand are available. The approach is successfully applied to an unsigned document that has been spotted in the warehouses of Greek Army History Directorate and led, for the first time, to the conclusion that it has been written by the great Greek Politician Eleftherios Venizelos. The content of the paper is important from the historical point of view.
在目前的工作中,介绍了一种确定给定文件作者的一般方法,前提是同一手的文本是可用的。这种方法被成功地应用于一份未签名的文件,该文件在希腊陆军历史局的仓库中被发现,并首次得出结论,它是由伟大的希腊政治家埃莱夫塞里奥斯·韦尼泽洛斯撰写的。从历史的角度来看,这篇论文的内容很重要。
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引用次数: 0
Bioinspired Cellular Nonlinear Networks working on the edge of chaos 在混沌边缘工作的仿生细胞非线性网络
Pub Date : 2022-06-08 DOI: 10.1109/mocast54814.2022.9837595
A. Slavova, Ventsislav Ignatov
The most widely-used model of the excitation and propagation of impulse (action potential) in nerve membranes is the Hodgkin-Huxley system. In this paper we consider its simplification - a coupled FitzHugh Nagumo model. We shall study its dynamics from the point of view of local activity theory and we shall define the edge of chaos region in which complex behavior appears. Simulations show that oscillatory patterns, chaotic patterns, or divergent patterns may emerge if the selected cell parameters are located in locally-active domains but near the edge of chaos.
神经膜中脉冲(动作电位)的激发和传播最广泛使用的模型是霍奇金-赫胥黎系统。本文将其简化为FitzHugh - Nagumo耦合模型。我们将从局部活动理论的角度研究其动力学,并定义出现复杂行为的混沌区域的边缘。仿真结果表明,如果选定的单元参数位于局部活跃域但靠近混沌边缘,则可能出现振荡模式、混沌模式或发散模式。
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引用次数: 0
期刊
2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)
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