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2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)最新文献

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Basis Pursuit and Linear Programming Equivalence: A Performance Comparison in Sparse Signal Recovery 基追求与线性规划等价:稀疏信号恢复的性能比较
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854240
B. Tausiesakul
Basis pursuit (BP) with $ell_{1}$-norm criterion received much attention in the past. One of its obvious applications is the discrete-time sparse signal acquisition. In this work, two alternative forms of the BP optimization are presented. Both are intended to perform the same task as the BP but are expressed as linear programming (LP) frameworks. The performance of the LP expressions, which are equivalent to the BP, is observed and then compared to that given by the typical BP. It is found that the error performance of the equivalent BP methods in terms of LP is the same as that of the BP algorithm. One of the BP-equivalent LP problems takes the same computational time as the BP, while another lasts longer in computation. In the same manner, the first BP-equivalent LP problem consumes nearly the same amount of required memory as the BP, whereas another occupies significantly more memory space during the computation.
基于$ell_{1}$-范数准则的基追踪(BP)在过去受到了广泛的关注。它的一个明显的应用是离散时间稀疏信号采集。在这项工作中,提出了两种可供选择的BP优化形式。两者都旨在执行与BP相同的任务,但都表示为线性规划(LP)框架。观察与BP等价的LP表达式的性能,然后与典型BP给出的性能进行比较。结果表明,等效BP方法在LP方面的误差性能与BP算法相同。在等效BP的LP问题中,一个问题的计算时间与BP相同,而另一个问题的计算时间更长。以同样的方式,第一个BP等效LP问题消耗的内存几乎与BP相同,而另一个问题在计算过程中占用的内存空间要大得多。
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引用次数: 0
RFID-Sensorized Facemask for Wireless Monitoring of Newborn Breath Temperature during Mild Hypothermia Treatment 在轻度低温治疗中无线监测新生儿呼吸温度的rfid传感器面罩
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854380
N. Panunzio, Valentina Olivieri, Francesco Montecchia, P. Papoff, G. Marrocco
Breath monitoring of sedated and under-treatment patients is a key clinical procedure in hospitals. Non-invasive de-vices are preferable to perform a comfortable screening, and they assume greater importance in case the patients are newborns. Ultra High Frequency (UHF) Radio Frequency IDentification (RFID) breath sensors are passive devices that can enable low-invasive and wireless monitoring of respiration. By embedding temperature sensors within their Integrated Circuits (ICs), these devices are compact and can record temperature signals that can be correlated with typical flow-based signals. This paper aims at assessing the feasibility of involving RFID breath sensors for the monitoring of newborns breathing temperature in a real hospital ward. A pediatric disposable facemask was sensorized with a T-match dipole antenna. Following a preliminary evaluation of its electromagnetic performance and safety, in-hospital breath monitoring was performed on a newborn undergoing mild hypothermia treatment. Compared to traditional flow meter measurements, RFID results are promising and the ease-of-use and the wireless transmission of the data permit the monitoring of patients without interfering with the undergoing treatments.
镇静和治疗不足患者的呼吸监测是医院的一项关键临床程序。非侵入性设备更适合进行舒适的筛查,并且在患者是新生儿的情况下,它们更重要。超高频(UHF)射频识别(RFID)呼吸传感器是一种无源设备,可以实现低侵入性和无线呼吸监测。通过在集成电路(ic)中嵌入温度传感器,这些设备结构紧凑,可以记录与典型流量信号相关的温度信号。本文旨在评估在真实医院病房中使用RFID呼吸传感器监测新生儿呼吸温度的可行性。采用t型偶极子天线对儿童一次性口罩进行传感。在对其电磁性能和安全性进行初步评估后,对一名接受轻度低温治疗的新生儿进行了院内呼吸监测。与传统的流量计测量相比,RFID的结果是有希望的,并且易于使用和数据的无线传输允许在不干扰正在进行的治疗的情况下对患者进行监测。
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引用次数: 2
Dynamic Analysis of Solar Heat Stimulated Residential Absorption Cooling with Integrated Thermal Wall for Space Heating 空间采暖集成热墙太阳能热激发住宅吸收式制冷的动态分析
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854291
A. Kalair, M. Seyedmahmoudian, S. Mekhilef, A. Stojcevski
Decentralized trigeneration (solar heating-cooling) for residential and commercial applications is being researched and adapted extensively. The transition from traditional uni-directional grids to bidirectional smart grids has motivated energy engineers to develop novel decentralized architectures that fully exploit distributed generation technologies. Solar heat and light stimulated trigeneration system is modeled, simulated, and analyzed over one year for subtropical climate conditions of Melbourne, Australia. The architecture replaces an electrical compressor of traditional chillers with solar heat stimulated absorption chiller. A residential building is scheduled as per standard living trends of a family of 5 individuals. The goal was to maintain livable thermal conditions (PID controlled: 26°C) and meet essential electronic needs at best. A detailed thermal and electrical performance analysis is documented using parameters such as solar fraction, collector thermal efficiency, fractional non-purchased energy, and others. The architecture was designed to meet all energy loads, thermal and electrical, with minimal auxiliary or grid energy expenditure. The analysis revealed that this unique combination of active and passive solar electro-thermal technologies has the potential to improve the overall performance and save considerable space for residential build environments. The solar photovoltaics produced power in the range 200 kW to 519 kW, active solar evacuated tube collectors produced hot water in the range 60-80°C, and passive solar thermal wall recorded storing heated air up to 70°C in summers and 40°C in winters. Heated water passed through solar heat stimulated absorption chillers to produce chilled air in range 17-19°C. An excess of 1500 watts on some summer days was recorded while no excess was available in peak winters. Solar fraction and fractional non-purchased energy showed slightly better performance than the same systems without a thermal wall.
住宅和商业应用的分散三联发电(太阳能加热-冷却)正在广泛研究和调整。从传统的单向电网到双向智能电网的转变促使能源工程师开发新的分散式架构,充分利用分布式发电技术。对澳大利亚墨尔本亚热带气候条件下的太阳热光刺激三联发电系统进行了一年多的建模、模拟和分析。该结构用太阳能热刺激吸收式制冷机取代了传统制冷机的电动压缩机。住宅建筑是根据一个五口之家的标准生活趋势来规划的。目标是保持适宜居住的热条件(PID控制:26°C),并满足基本的电子需求。详细的热电性能分析记录使用参数,如太阳能分数,集热器热效率,分数非购买能源,和其他。该建筑的设计是为了满足所有的能源负荷,包括热能和电能,并以最小的辅助或电网能源消耗。分析表明,这种独特的主动式和被动式太阳能电热技术的结合有可能提高整体性能,并为住宅建筑环境节省大量空间。太阳能光伏发电产生200千瓦至519千瓦的电力,主动式太阳能真空管集热器产生60-80°C的热水,被动式太阳能热墙记录了夏季高达70°C和冬季高达40°C的热空气。加热的水通过太阳能热刺激吸收式冷水机,产生温度在17-19°C范围内的冷冻空气。在夏季的一些日子里,有超过1500瓦的记录,而在冬季的高峰期,没有多余的记录。太阳能部分和非购买能量部分的性能略好于没有热墙的相同系统。
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引用次数: 0
Phase-based UHF RFID approach for speed bag monitoring 基于相位的超高频RFID速度袋监测方法
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854229
P. López-Matencio, F. González-Castaño, J. Vales-Alonso
Monitoring the performance of athletes is crucial for improving exercise quality and planning new training goals. Specifically, boxing sports demand strength and balance, requiring concentration and coordination when training with a speed bag. With a speed bag, the boxer has to strike the bag repeatedly while the bag moves fast and maintains a rhythm of hits. A monitor system for this type of training is challenging because it must be unobtrusive to keep the boxer focused on the exercise. This study introduces a methodology to get the frequency of the speed bag, which is a crucial feature to get insight into the boxer's performance. Our approach takes advantage of UHF Radio Frequency Identification (RFID) technology. RFID tags are small and can easily be embedded in the speed bag without hindering the activity of the boxer. Our methodology uses the phase of the backscattered signal as the tag and bag move together, allowing to extract the oscillation frequency. Performed simulations reflect the bag motion at an indicated frequency of 4 Hz and up to 4 meters of tag-to-reader separation. This preliminary study establishes the system's applicability, which can obtain the oscillation rate without human intervention.
监测运动员的表现对于提高运动质量和规划新的训练目标至关重要。具体来说,拳击运动需要力量和平衡,在使用速度袋训练时需要集中和协调。使用速度袋时,拳击手必须在袋子快速移动时反复击打袋子,并保持击打的节奏。这种训练的监控系统是具有挑战性的,因为它必须不引人注目,以保持拳击手的注意力集中在练习上。本研究引入了一种方法来获得速度袋的频率,这是深入了解拳击手表现的关键特征。我们的方法利用了超高频射频识别(RFID)技术。RFID标签很小,可以很容易地嵌入到速度袋中,而不会妨碍拳击手的活动。我们的方法使用标签和袋子一起移动时后向散射信号的相位,从而提取振荡频率。所进行的模拟反映了袋子在4赫兹的指定频率下的运动,标签到阅读器的距离高达4米。初步研究确定了该系统的适用性,可以在没有人为干预的情况下获得振荡速率。
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引用次数: 0
Electric Vehicles and Smart Grid Integration: Analysis of Battery Degradation Cost 电动汽车与智能电网集成:电池退化成本分析
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854357
Ona Egbue, D. Naidu, Charles E. A. Uko
Batteries of plug-in electric vehicles (PEVs) can be used in vehicle-to-grid (V2G) systems for controlled bidirectional power flow between the vehicles and the power grid. Some benefits of V2G include the use of PEVs to provide ancillary services to the grid. However, there are concerns about PEV use for these services, particularly about the degradation of vehicle batteries due to frequent charging and discharging. In this study, a model is used to calculate the total cost of battery degradation for a significant number of vehicles as a result of V2G. Battery degradation is considered to be caused by cycling aging because this type of aging occurs during the V2G process. Simulation is conducted to determine how the battery degradation cost changes based on competing objectives. This study demonstrates the importance of considering PEV battery health during V2G operation and shows how battery degradation can be affected by the different objectives of the aggregator and PEV owners.
插电式电动汽车(pev)的电池可用于车辆到电网(V2G)系统,以控制车辆和电网之间的双向功率流。V2G的一些好处包括使用pev为电网提供辅助服务。然而,人们对电动汽车在这些服务中的使用表示担忧,特别是由于频繁充电和放电,汽车电池的性能会下降。在本研究中,使用一个模型来计算大量车辆由于V2G而导致的电池退化的总成本。电池退化被认为是由循环老化引起的,因为这种老化发生在V2G过程中。通过仿真来确定在竞争目标下电池退化成本是如何变化的。本研究展示了在V2G运行期间考虑电动汽车电池健康状况的重要性,并展示了电池退化如何受到聚合器和电动汽车所有者的不同目标的影响。
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引用次数: 0
Bagging Ensemble Classifier for Predicting Lightning Flashovers on Distribution Lines 配电网雷电闪络预测的Bagging集成分类器
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854317
P. Sarajcev
This paper introduces a bagging ensemble classifier, built from support vector machines (SVM), for predicting lightning flashovers on overhead distribution lines (OHL). Support vectors from the underlying SVM give rise to the so-called curve of limiting parameters (CLP), which features prominently in the statistical method of insulation coordination. Proposed machine learning-based approach enables a straightforward derivation of the line's CLP-from simulations or actual measurements data gathered by the lightning location systems-for its subsequent use in insulation coordination studies. It also facilitates computing the risk of insulation flashover. Both these aspects fully endorse statistical approach to the insulation coordination and flashover performance analysis of OHLs.
本文介绍了一种基于支持向量机(SVM)的袋装集成分类器,用于预测架空配电线路雷电闪络。来自底层支持向量机的支持向量产生了所谓的极限参数曲线(CLP),这在绝缘协调的统计方法中具有突出的特点。提出的基于机器学习的方法可以从闪电定位系统收集的模拟或实际测量数据中直接推导出线路的clp,以便随后在绝缘协调研究中使用。它还有助于计算绝缘闪络的风险。这两个方面都充分支持了ohl绝缘协调和闪络性能分析的统计方法。
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引用次数: 1
A Blockchain Based Approach for Demand Response Management in Internet of Vehicles 基于区块链的车联网需求响应管理方法
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854344
E. Kapassa, M. Touloupou, Klitos Christodoulou
Electric Vehicles (EVs), as well as the number of applications for their management, are rapidly increasing due to the fact that Internet of Vehicles (IoV) becomes more informative and industrialized. According to the literature, IoV requires decentralization towards the energy Demand Response (DR) management, with secure energy trading, efficient charging scheduling, and incentives for making the drivers to participate. Blockchain and Distributed Ledger Technologies (DLTs) can be used to enable a foundational environment to support DR management. However, and to the best of our knowledge, none of the existing research works discussed in the literature adopts a holistic approach to address them. As such there is a demand for exploring a unified blockchain-based framework for distributed DR management. Therefore, the aim of this work is focused on the blockchain adoption in IoV-assisted smart cities. More specifically, we propose a blockchain based approach, to be used for building a secure and user-centric DR management framework. Our proposition aims to address the DRP in IoV through charging scheduling based on the generation of EV driving profiles, and optimal Vehicle-to-Vehicle/Grid (V2V | V2G) energy trading.
由于车联网(IoV)变得更加信息化和工业化,电动汽车(ev)及其管理应用的数量正在迅速增加。根据文献,车联网需要去中心化的能源需求响应(DR)管理,安全的能源交易,高效的充电计划,以及激励司机参与。区块链和分布式账本技术(dlt)可用于实现支持DR管理的基础环境。然而,据我们所知,文献中讨论的现有研究工作都没有采用整体方法来解决这些问题。因此,有必要探索一个统一的基于区块链的分布式容灾管理框架。因此,这项工作的目的是专注于在物联网辅助的智慧城市中采用区块链。更具体地说,我们提出了一种基于区块链的方法,用于构建安全和以用户为中心的容灾管理框架。我们的研究旨在通过基于电动汽车驾驶档案生成的充电计划和最优的车对车/电网(V2V / V2G)能源交易来解决车对车/电网的DRP问题。
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引用次数: 0
Automatize skin prick test with a low cost Machine vision system 用低成本机器视觉系统自动化皮肤点刺试验
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854313
P. Mazzeo, Simone Miglietta, P. Spagnolo, P. Carcagnì, C. Distante
Skin prick testing (SPT) is a reliable method to diagnose IgE-mediated allergic disease in patients with rhino conjunctivitis, asthma, urticaria, anaphylaxis, atopic eczema and suspected food and drug allergy. Due to the the lack of wheals public available dataset and related diameters and due to expen-sive acquisition system, in this work we investigate the feasibility to have high performance and low cost device for wheals detection and measurements. Having cheap acquisition device, it would be easier to have more acquisition stations per clinic, also speeding up the process of building the dataset. Proposed paper aims to automate the wheals measuring process, by detecting multiple wheals and by isolating them from the rest of the image, which is an essential step for the dataset building. We also proposed a cheap acquisition system made by a consumer type depth camera, Intel Realsense d435, a 3D printed arm support, a touchscreen panel displaying a GUI for the acquisitions, a Raspberry Pi 4 computer. Preliminary results showing promising performance even if they are acquired with a very cheap acquisition station proposed.
皮肤点刺试验(SPT)是诊断犀牛结膜炎、哮喘、荨麻疹、过敏反应、特应性湿疹及疑似食物和药物过敏患者ige介导的变应性疾病的可靠方法。由于缺乏公开可用的车轮数据集和相关的直径,并且由于昂贵的采集系统,在本工作中,我们研究了高性能和低成本的车轮检测和测量设备的可行性。有了便宜的采集设备,每个诊所更容易有更多的采集站,也加快了建立数据集的过程。本文旨在通过检测多个车轮并将其与图像的其余部分隔离,从而实现车轮测量过程的自动化,这是数据集构建的重要步骤。我们还提出了一种廉价的采集系统,由消费者型深度相机,英特尔Realsense d435, 3D打印手臂支撑,显示采集GUI的触摸屏面板,树莓派4计算机制成。初步结果显示,即使它们是用非常便宜的采集站获得的,也有很好的性能。
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引用次数: 0
An efficient hybrid regression model for energy and water consumption in a municipal kindergarten 市属幼儿园能源与水消耗的高效混合回归模型
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854238
D. Donchev, D. Petrova-Antonova, Petar O. Hristov
The energy and water demand is growing at an increasing rate on a global scale. This trend is especially pronounced in urban areas, which expand rapidly in size and population. At the same time, there is strong evidence to suggest that urban buildings are a major contributor to the resource and emissions footprint of human activity. For this reason, there are a number of initiatives, on a global and national level, to assess and improve the energy efficiency of buildings. This paper presents the development of a fast method for modelling the electricity, water consumption and indoor air temperature of a municipal kindergarten building in Sofia, Bulgaria. The models utilise a hybrid approach to analysing the data and successfully represents its trend. The use of statistical methods results in highly interpretable results, which can be built upon with more sophisticated techniques to achieve increased accuracy.
在全球范围内,能源和水的需求正在以越来越快的速度增长。这一趋势在城市地区尤其明显,城市地区的规模和人口迅速扩大。与此同时,有强有力的证据表明,城市建筑是人类活动的资源和排放足迹的主要贡献者。出于这个原因,在全球和国家层面上有许多举措来评估和提高建筑物的能源效率。本文介绍了保加利亚索非亚市立幼儿园建筑的电力、水消耗和室内空气温度建模的快速方法的发展。该模型采用混合方法分析数据,并成功地表示了其趋势。统计方法的使用导致高度可解释的结果,可以用更复杂的技术来建立,以达到更高的准确性。
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引用次数: 0
Future scenarios as a tool for citizen engagement in Smart Cities 作为智慧城市中公民参与工具的未来场景
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854333
R. Jose
Urban Digital Transformation opens many opportunities for cities, but there are also risks that the evolution of our cities may be driven by the unforeseen effects of emerging technologies or by the interests of technology corporations, rather than by the ethical values and real needs of society. The active engagement of citizens can be the key for an effective alignment between technological progress and societal progress. However, most citizens are essentially unaware of changes, much less of their more profound future implications. There is also scarcity of contexts where they can engage in informed discussions about the future of their city and the cocreation of new services. In this work, we explore how Future Thinking and Responsible Research and Innovation may provide a methodological background for promoting systematic reflection about possible futures and elicit generic policy guidelines for novel urban digital services. The goal is to help closing the gap between science, policy makers and society, by helping to shape strategic agendas for innovation on Smart Cities. The key contribution is a thorough analysis of the key motivations associated with this type of societal reflection and the proposal of a novel framework for the responsible design of digital services for cities. The proposed framework is conceived to work as a large-scale and open science project, where multiple stakeholders could concurrently add contributions to this reflection framework.
城市数字化转型为城市带来了许多机遇,但也存在风险,即我们城市的演变可能受到新兴技术不可预见的影响或科技公司的利益驱动,而不是由道德价值观和社会的实际需求驱动。公民的积极参与是技术进步和社会进步有效协调的关键。然而,大多数公民基本上没有意识到这些变化,更不用说它们对未来更深远的影响了。他们也缺乏能够参与有关城市未来和共同创造新服务的知情讨论的环境。在这项工作中,我们探讨了未来思维和负责任的研究与创新如何为促进对未来可能的系统反思提供方法论背景,并为新型城市数字服务提供通用政策指导。其目标是通过帮助制定智慧城市创新的战略议程,帮助缩小科学、决策者和社会之间的差距。本文的主要贡献是对与此类社会反思相关的主要动机进行了透彻的分析,并提出了一个负责任的城市数字服务设计的新框架。拟议的框架被设想为一个大型和开放的科学项目,其中多个利益相关者可以同时为这个反思框架增加贡献。
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引用次数: 1
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2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)
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