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A Force Estimation Sensor System TestBed for Geological Phenomena Analysis based on Biomimetic 基于仿生的地质现象分析力估计传感器系统试验台
Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932999
K. Kalovrektis, Apostolos Xenakis, Efthymios Mantalovas, G. Stamoulis, Sarantos Psycharis, N. Evelpidou
Our work focuses, on designing and proposing a force estimation sensor system for Geological phenomena data collection and analysis, based on Biomimetic. In this sense, biomimetic term, is used, as proposed by Schmitt in its classical sense, with regatd to the study of nature’s methods, processes and mechanisms. In particular, strain gauge sensors with force sensing resistor (FSR), formate a clustering to estimate ground stress and tension levels, as stated by natures’ mechanisms in earthworms to detect electrical signals. Our sensor system is proposed as a testbed to estimate geological landslide phenomena. Our experimental results from the data collection system is conducted in LabVIEW.
我们的工作重点是设计和提出一个基于仿生的地质现象数据收集和分析的力估计传感器系统。在这个意义上,仿生学术语,被用来研究自然的方法,过程和机制,正如Schmitt在其经典意义上提出的那样。特别是,带有力感电阻(FSR)的应变计传感器,形成一个集群来估计地应力和张力水平,正如蚯蚓检测电信号的自然机制所述。我们的传感器系统被提出作为评估地质滑坡现象的试验台。数据采集系统的实验结果是在LabVIEW中进行的。
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引用次数: 0
Self-sovereign, verifiable, ubiquitous and privacy preserving public entity documents through the use of blockchain technology 通过使用区块链技术,实现自我主权、可验证、无处不在和保护隐私的公共实体文件
Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932938
Konstantinos Papageorgiou, G. Spathoulas
Nowadays, citizens tend to use digital services for their interaction with public entities and third party entities. In such cases, they are usually required to present personal public documents, to prove the validity of personal information. Each citizen shares all personal data included in such documents with multiple entities, in order to prove the validity of a subset of those. On top of that, such systems run the risk of documents being forged. In fact, citizens do not have complete control over their personal data management. In this work, a decentralized system for creating and handling documents is presented. We propose a blockchain-based system that enables citizens to actively take part into the creation and management of such documents. Through a granular access control mechanism for the fields of the document, privacy leakage for citizens is minimized. The system enables the seamless interaction between citizens and entities while ensuring privacy and integrity of citizen’s personal data.
如今,公民倾向于使用数字服务与公共实体和第三方实体进行互动。在这种情况下,他们通常被要求出示个人公开文件,以证明个人信息的有效性。每个公民与多个实体共享这些文件中包含的所有个人数据,以证明其中一个子集的有效性。最重要的是,这种系统存在文件被伪造的风险。事实上,公民对个人数据的管理并没有完全的控制权。在这项工作中,提出了一个用于创建和处理文档的分散系统。我们提出了一个基于区块链的系统,使公民能够积极参与这些文件的创建和管理。通过对文档字段的细粒度访问控制机制,将公民的隐私泄露最小化。该系统实现了公民与实体之间的无缝交互,同时确保了公民个人数据的隐私和完整性。
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引用次数: 0
Assessment of data carriers with the SOLO taxonomy in Scratch 使用Scratch中的SOLO分类法评估数据载体
Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932900
T. Karvounidis, Anastasios Ladias, C. Douligeris
The assessment of data in Scratch using the SOLO taxonomy is part of a broader framework for setting standards for the assessment of STEM educational projects in the Panhellenic Educational Robotics Competition of WRO-Hellas. The relevant factors of the data that are developed and studied are the forms, the types, the ways of use, the carriers, the visibility, the organization, the processing and the naming. In this work we examine the data carriers which are the “objects” with the code, the costumes and the sounds as well as the backgrounds of the stage. The data carriers are assessed through a categorization using the SOLO taxonomy. This categorization can be used by the educator as a tool with measurable criteria either to evaluate the learning outcomes that the influence of the data carriers has in the students’ code or to develop personal teaching paths, thus creating mental scaffolds that may help students to acquire new knowledge.
使用SOLO分类法对Scratch中的数据进行评估是为WRO-Hellas泛希腊教育机器人竞赛中STEM教育项目评估制定标准的更广泛框架的一部分。所开发和研究的数据相关因素有:数据的形式、类型、使用方式、载体、可见性、组织、处理和命名。在这个作品中,我们考察了数据载体,即带有代码的“对象”,服装和声音以及舞台背景。通过使用SOLO分类法进行分类来评估数据载体。教育工作者可以将这种分类作为一种可衡量标准的工具,用于评估数据载体对学生代码的影响所产生的学习成果,或开发个人教学路径,从而建立有助于学生获得新知识的心理框架。
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引用次数: 0
Automated identification of fraudulent financial statements by analyzing data traces 通过分析数据痕迹自动识别虚假财务报表
Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932910
Evangelos Hytis, Vasileios Nastos, Christos G Gogos, Angelos Dimitsas
Firms are obliged by law to publish accurate financial statements. Nevertheless, cases exist where publicly issued documents hide the actual bad financial statuses of companies and this is revealed years later. Since companies publish financial figures periodically, it is interesting to examine whether monitoring those values or ratios based on them can help in early detection of fraud. In this work, a dataset was constructed including 943 firm-years of Greek companies enlisted at the Athens Stock Exchange, for the period 2005-2018. Experiments using combinations of financial ratios and various machine learning algorithms were undertaken in an effort to construct a system able to automatically detect false and misleading financial statements, that were issued legitimately by firms. Several instantiations of a machine learning workflow were tested using various classifier algorithms including AdaBoost, Random Forests, and others. Experiments showed that companies that issue false financial statements can be spotted automatically for most of the cases, years before the problem is manifested. So, the potential of early detection of seemingly healthy, but in fact, distressed companies do exist. An automated tool can be constructed that should be useful for financial analysts, investors and the capital markets authorities.
法律规定公司必须公布准确的财务报表。然而,公开发布的文件掩盖了公司的实际不良财务状况,并在数年后被揭露的情况确实存在。由于公司定期公布财务数据,因此研究监控这些价值或基于这些数据的比率是否有助于及早发现欺诈行为,是一件有趣的事情。在这项工作中,我们构建了一个数据集,其中包括2005年至2018年期间在雅典证券交易所上市的943家希腊公司。利用财务比率和各种机器学习算法的组合进行实验,以构建一个能够自动检测由公司合法发布的虚假和误导性财务报表的系统。使用各种分类器算法(包括AdaBoost、Random Forests等)对机器学习工作流的几个实例进行了测试。实验表明,在大多数情况下,发布虚假财务报表的公司可以在问题出现前数年被自动发现。所以,早期发现看似健康的潜在企业,实际上却存在陷入困境的企业。可以构建一个对金融分析师、投资者和资本市场当局有用的自动化工具。
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引用次数: 0
A non-invasive closed-loop diagnostic and therapeutic wearable device for diabetic hyperglycemia prevention: System Architecture 一种用于糖尿病高血糖预防的无创闭环诊断和治疗可穿戴设备:系统架构
Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9933011
Vasiliki Fiska, Sofia Evangelou, N. Giannakeas, A. Tzallas, P. Angelidis, M. Tsipouras
Diabetes Mellitus (DM) is a metabolic disorder affecting millions of patients worldwide. Continuous glucose monitoring (CGM) is integral to managing diabetes, and when used in conjunction with closed-loop automated medication administration systems, it can considerably lower the risks of hyperglycemia in DM patients. However, such treatment frequently necessitates the use of invasive blood glucose monitoring techniques and drug infusion. Because of its unique characteristics, sweat is considered one of the most important bio-fluids utilized in non-invasive CGM applications. In order to provide patients with effective and painless DM monitoring and treatment, the architecture of a sweat-based non-invasive closed-loop system for diabetes monitoring and treatment is extensively presented.
糖尿病(DM)是一种影响全球数百万患者的代谢紊乱。连续血糖监测(CGM)是管理糖尿病不可或缺的一部分,当与闭环自动给药系统结合使用时,它可以大大降低糖尿病患者高血糖的风险。然而,这种治疗经常需要使用侵入性血糖监测技术和药物输注。由于其独特的特性,汗液被认为是非侵入性CGM应用中最重要的生物流体之一。为了给患者提供有效、无痛的糖尿病监测和治疗,广泛提出了一种基于汗液的无创糖尿病监测和治疗闭环系统的架构。
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引用次数: 0
A peer, “wallet-only” consensus schema for ownership transfer over finite populations 一个对等的,“仅限钱包”的共识模式,用于有限人群的所有权转移
Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932944
A. Anagnostakis, N. Giannakeas, A. Tzallas, M. Tsipouras, E. Glavas
Consensus achievement is a scalable process, which relies on the mutual “Proof of something” among the consenting parties. Not every application has the same consensus needs: a classification of escalating complexity proofing cases is presented in [1], where it is proved that high complexity consensus policies can be effectively delivered on a pure P2P manner even over finite, even trivial capacity systems. The Proof of Existence (PoE) is utilized there as a minimal universal proofing case, the increased complexity of which is too high to be handled by a single atom, yet it can be delivered effectively on a collective basis. Irrespective of the undoubtable universality and soundness of PoE, it constitutes but the first and least-demanding proofing class identified. Universal consensus achievement on ownership transfer and monetary transactions requires elevated complexity proofing policies, capable of safeguarding the uniqueness of the transferred tokens as well as the finality of the transactional blockchain. In this work we present a pure P2P consensus schema for ownership transfer over finite populations. It relies on the IoT micro-Blockchain architecture which delivers a robust verifiable atomic consistency framework and facilitates the delivery of Proof of Originality-PoO and Proof of Consistency-PoC based consensus. We assert that PoO and PoC are necessary and capable to deliver robust consensus on ownership transfer transactions, and we study their traits over finite populations.
达成共识是一个可扩展的过程,它依赖于同意各方之间的相互“证明”。并非每个应用都有相同的共识需求:[1]中提出了一种不断升级的复杂性证明案例分类,证明了即使在有限甚至微不足道的容量系统上,高复杂性的共识策略也可以以纯P2P的方式有效地交付。存在证明(PoE)在这里被用作最小的通用证明案例,其增加的复杂性太高,无法由单个原子处理,但可以在集体基础上有效地交付。尽管PoE具有无可置疑的通用性和可靠性,但它只是确定的第一个也是要求最低的证明类别。在所有权转移和货币交易方面达成普遍共识需要更高的复杂性证明政策,能够保障转移代币的唯一性以及交易区块链的最终性。在这项工作中,我们提出了一个纯P2P共识模式,用于有限种群上的所有权转移。它依赖于物联网微区块链架构,该架构提供了一个强大的可验证原子一致性框架,并促进了基于共识的原创性证明- poo和一致性证明- poc的交付。我们断言,PoO和PoC是必要的,并且能够在所有权转移交易中提供强大的共识,我们研究了它们在有限种群中的特征。
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引用次数: 0
Motor Imagery Approach for BCI Game Development 脑机接口游戏开发的运动意象方法
Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932937
Georgios Prapas, Kosmas Glavas, A. Tzallas, Katerina D. Tzimourta, N. Giannakeas, M. Tsipouras
Brain-computer interface (BCI) is a rapidly growing field with various applications in many domains such as medical, gaming and lifestyle. This paper presents a 3D non-invasive BCI game. Muse 2 headband is used for acquiring electroencephalogram (EEG) data and OpenViBE platform for processing the raw signals and classification. The game is developed in Unity game Engine. Several subjects are included in the study and EEG signals are recorded for three different mental states i.e. left and right Motor Imagery and eye blink, before playing the game for ten times, aiming to collect coins. Average classification result is 94.86% and average coins collected from the users is 30.8 out of 50 coins. Furthermore, longer periods of playing the game leads to increased control over the game.
脑机接口(BCI)是一个快速发展的领域,在医疗、游戏和生活方式等许多领域都有广泛的应用。本文介绍了一种三维无创脑机接口游戏。Muse 2头带用于获取脑电图(EEG)数据,OpenViBE平台用于处理原始信号和分类。游戏是在Unity游戏引擎中开发的。在以收集硬币为目标玩十次游戏之前,研究人员在研究对象中记录了三种不同精神状态(即左、右运动意象和眨眼)的脑电图信号。平均分类结果为94.86%,从用户处收集的平均硬币为30.8枚/ 50枚。此外,玩游戏的时间越长,玩家对游戏的控制力就越强。
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引用次数: 2
An overview of power supply technologies for Unmanned Aerial Vehicles (UAVs) and machine vision applications 概述了无人机(uav)和机器视觉应用的电源技术
Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9933003
Antonios Pekias, George S. Maraslidis, M. Tsipouras, F. Koumboulis, G. Fragulis
Unmanned air vehicles belong to the field of aeronautics and automation. The rapid development of technology in the engineering and automation field, helped to take UAVs to the highest level. These kind of technologies were imported into the military and aviation industry, performing multiple high/low risk activities. In combination with automation technology and mechanical vision where cameras, imaging sensors, thermal, etc. were introduced, a very modern highly technological form has been created. Therefore, the user has the ability to control remotely, a plurality of functions via a controller, a mobile phone, or even a ground station cockpit in military facilities. In this study, we will be reviewing the three main characteristics of an unmanned aerial vehicle; their power source technology the deep learning neural network systems used for their computer vision, and some of the most used applications. We conclude with suggestions and future directions to overcome the challenges of optimizing operational capabilities.
无人飞行器属于航空和自动化领域。工程和自动化领域技术的快速发展,使无人机达到了最高水平。这些技术被引入军事和航空工业,执行多种高/低风险活动。结合自动化技术和机械视觉,其中引入了相机,成像传感器,热等,创造了一个非常现代的高科技形式。因此,用户具有通过军事设施中的控制器、移动电话甚至地面站座舱远程控制多项功能的能力。在本研究中,我们将回顾无人机的三个主要特征;他们的电源技术深度学习神经网络系统用于他们的计算机视觉,以及一些最常用的应用。最后,我们提出了建议和未来的发展方向,以克服优化操作能力的挑战。
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引用次数: 0
Modeling a balanced commute educational timetabling problem in the context of teaching Integer Programming 整数规划教学背景下的均衡通勤教育排课问题建模
Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932912
Christos G Gogos, Angelos Dimitsas, Christos Valouxis, P. Alefragis
In this work we present modeling and optimally solving a timetabling problem that was given as a compulsory assignment to students attending an Operations Research course. The project aimed at introducing Integer Programming in a problem that used enrollments of the students themselves to individual courses and aimed at minimizing, in a balanced manner, commute time needed for attending lessons. Students were given a problem that was familiar to them and nontrivial to be solved optimally. In the process, modern commercial and open source Integer Programming solvers were used. More importantly, modeling skills were acquired and the benefits of approaching hard problems using solvers employing exact algorithms was demonstrated.
在这项工作中,我们提出了一个时间表问题的建模和优化解决方案,该问题是作为参加运筹学课程的学生的必修作业。该项目旨在将整数规划引入到一个问题中,该问题使用学生自己注册个别课程,并旨在以平衡的方式最大限度地减少上课所需的通勤时间。给学生们一个他们熟悉的、不平凡的问题,让他们最优地解决。在此过程中,使用了现代商业和开源整数规划求解器。更重要的是,获得了建模技能,并展示了使用精确算法求解困难问题的好处。
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引用次数: 0
Applied Virtual Reality in 3D Geometry 虚拟现实在三维几何中的应用
Pub Date : 2022-09-23 DOI: 10.1109/SEEDA-CECNSM57760.2022.9932948
Konstantinos Sakkas, Alexandra Tsogka, N. Giannakeas, Katerina D. Tzimourta, A. Tzallas, E. Glavas
The development of Virtual Reality technologies has improved people's daily lives in many sections. Nowadays, it is applied in fields such as Health, Work, Telecommuting and in a large number of other sectors. Education from different perspectives is something that constantly concerns researchers and virtual reality developers, which is why we come across a series of virtual reality applications for situation simulation and student education. Mathematics and especially geometry which is interrelated with the concept of the implementation of applications in three-dimensional space, as well as VR applications, from the perspective of learning are often considered complicated as there are three-dimensional objects that are not easily perceived only through a book. In this paper we examine how through virtual reality geometric concepts can be better understood but at the same time to examine geometric shapes from different angles and perspectives.
虚拟现实技术的发展在许多方面改善了人们的日常生活。如今,它被应用于卫生、工作、远程办公等领域以及许多其他领域。从不同的角度进行教育是研究人员和虚拟现实开发者一直关注的问题,这也是为什么我们遇到了一系列虚拟现实在情境模拟和学生教育方面的应用。从学习的角度来看,数学,特别是与三维空间应用实现概念相关的几何,以及VR应用,通常被认为是复杂的,因为有三维物体,仅通过书本是不容易感知的。在本文中,我们研究如何通过虚拟现实可以更好地理解几何概念,但同时从不同的角度和角度来检查几何形状。
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引用次数: 0
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