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

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Effect of end-user awareness and individual heat metering in a social housing building in Mediterranean climate 地中海气候下社会住房建筑终端用户意识和个体热计量的影响
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854332
L. Canale, G. Ficco, M. Dell’Isola, B. Di Pietra, G. Puglisi, I. Bertini
The combined effect of individual metering and end-user awareness about own energy consumptions has been proven to be an effective and low-cost driver to increase the energy efficiency of buildings, by preventing the adoption of energy inefficient behaviors. On the other hand, in some contexts, individual metering systems and end-user awareness could lead to undesirable effects, such as the penalization of comfort in favor of energy saving. In the literature, there are few studies concerning the estimation of the combined effect of end-user awareness and individual metering on energy consumptions and thermal comfort, especially in contexts at risk of energy poverty such as social housing. This paper aims to evaluate the effects of an informative campaign delivered in a social housing building of 9 apartments in a Mediterranean climate, where indirect heat accounting systems are installed. For this purpose, the daily energy consumption and the average daily indoor temperatures of the 9 dwellings were analyzed before and after the implementation of a specific awareness campaign based on indirect feedback. The results showed a statistically significant reduction of the energy consumption equal to 3.80% in the building after the campaign, without any significant variation in the average indoor temperatures.
个人计量和最终用户对自身能源消耗的意识的综合影响已被证明是通过防止采用能源效率低下的行为来提高建筑物能源效率的有效和低成本驱动因素。另一方面,在某些情况下,单独的计量系统和最终用户的意识可能会导致不希望的影响,例如对舒适的惩罚有利于节能。在文献中,很少有研究涉及终端用户意识和个人计量对能源消耗和热舒适的综合影响的估计,特别是在社会住房等能源贫困风险的环境中。本文旨在评估在地中海气候下的9套公寓的社会住房建筑中进行的信息宣传活动的效果,该建筑安装了间接热量核算系统。为此,在间接反馈的基础上,对9个住宅的每日能源消耗和每日室内平均温度进行了分析。结果显示,在活动结束后,建筑物的能源消耗减少了3.80%,而室内平均温度没有任何显著变化。
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引用次数: 0
High Code Density and Humidity Sensor Chipless RFID Tag 高码密度和湿度传感器无芯片RFID标签
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854366
Amjad Ali, O. Williams, E. Lester, S. Greedy
This article presents a low cost, miniaturize, flexible, high code density chipless sensor tag. The tag is designed on polyethylene terephthalate (PET) substrate with a compact size of 1cm radius operating in ultra-wideband, ranging from 3.5 to 16GHz. The overall structure and results have been significantly improved in comparison to the latest research. It has high code density of 6.92bits/cm2, regular geometry, larger sensitivity for the humidity of 60MHz/%RH variation, high magnitude frequency dips, angular stability up to 60°, high radar cross-section, low cost, and compact size are distinctive outcomes of the suggested sensor tag. It is simulated in computer simulation technology microwave studio (CST-MW). The tag can provide information about biomass locomotion, available weight in storage and combust. It has robustness, grind-bile, and combustible properties during combustion and pyrolysis process. This paper provides a pathway for biomass pellets tracking and humidity monitoring by using a battery-free chipless RFID sensor tag in real-time.
本文提出了一种低成本、小型化、柔性化、高码密度的无芯片传感器标签。该标签设计在聚对苯二甲酸乙二醇酯(PET)基板上,尺寸紧凑,半径为1cm,工作在3.5至16GHz的超宽带范围内。与最新的研究相比,整体结构和结果有了明显的改善。它具有6.92bits/cm2的高编码密度,规则的几何形状,对60MHz/%RH变化的湿度具有更高的灵敏度,高幅度频率下降,角稳定性高达60°,高雷达横截面,低成本和紧凑的尺寸是所建议传感器标签的独特结果。在计算机仿真技术微波工作室(CST-MW)中进行了仿真。该标签可以提供有关生物质运动、储存和燃烧的可用重量的信息。它在燃烧和热解过程中具有坚固性,研磨性和可燃性。本文提供了一种利用无电池无芯片RFID传感器标签实时跟踪和监测生物质颗粒湿度的途径。
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引用次数: 4
3D-Printed Fractal UHF RFID Tag Antenna 3d打印分形UHF RFID标签天线
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854365
F. Chietera, R. Colella, L. Catarinucci
Fractal geometries are characterized by their unique property of having a not integer dimension, which is often used to determine the filling capacity of a fractal pattern. In antenna design, this peculiarity can be exploited to reduce the size of linear antennas, thanks to a greater electrical length associated with fractal patterns instead of linear ones. In this paper, those properties are further enhanced using 3D printing to realize a small in size, three-dimensional dipole antenna based on the well-known Koch curve fractal pattern, for UHF RFID applications in ETSI band. A commercial composite filament by PREPERM™, suitable to be used with Fused Filament Fabrication technology, has been adopted to realize the dielectric part of the antenna, while an adhesive copper tape has been opportunely shaped to realize the antenna conductive parts. Finally, an Impinj Monza R6 has been mounted as Internal Chip of the prototype. The resulting tag exhibits very good performance, with an estimated maximum reading distance of about 6 meters at 866 MHz, while maintaining a really small footprint of less than 28 mm2.
分形几何具有非整数维的独特性质,常用于确定分形图案的填充容量。在天线设计中,由于分形图案比线性图案具有更大的电长度,因此可以利用这种特性来减小线性天线的尺寸。在本文中,利用3D打印技术进一步增强了这些特性,实现了一个基于著名的Koch曲线分形图案的小尺寸三维偶极子天线,用于超高频RFID在ETSI波段的应用。天线的介电部分采用适用于熔丝制造技术的PREPERM™商用复合灯丝,而天线的导电部分则采用合适形状的粘接铜带。最后,Impinj Monza R6作为原型机的内部芯片被安装。由此产生的标签表现出非常好的性能,在866 MHz下估计最大读取距离约为6米,同时保持非常小的占地面积,小于28 mm2。
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引用次数: 0
A Quantum Computing Approach to Human Behavior Prediction 人类行为预测的量子计算方法
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854257
A. Huerga, Unai Aguilera, Aitor Almeida, A. B. Lago
As quantum computing technologies become more mature, their applicability increases. One of the main challenges in intelligent environments is to correctly model and ascertain the users' behavior in order to react to it and cater to their needs. One of the main challenges in human behavior modeling is predicting the users' next actions. In this paper we propose using two different quantum computing algorithms in order to predict human behavior: Quantum Kernel Alignment and Quantum Support Vector Machines. Our experiments show that those algorithms outperform other traditional machine learning algorithms in this task. We also present a study that analyzes the influence of qubit noise in the performance of the quantum approach. This helps to understand how the accuracy of the quantum computing algorithms will increase as the underlying hardware matures and qubit noise is reduced.
随着量子计算技术越来越成熟,其适用性也越来越强。智能环境中的主要挑战之一是正确建模和确定用户的行为,以便对其做出反应并满足他们的需求。人类行为建模的主要挑战之一是预测用户的下一步行动。在本文中,我们建议使用两种不同的量子计算算法来预测人类行为:量子核对齐和量子支持向量机。我们的实验表明,这些算法在这个任务中优于其他传统的机器学习算法。我们还提出了一项研究,分析了量子比特噪声对量子方法性能的影响。这有助于理解随着底层硬件的成熟和量子比特噪声的降低,量子计算算法的准确性将如何提高。
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引用次数: 1
Micro Energy Harvesting from the Soil of Indoor Living Plants 室内植物土壤微能量收集
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854259
A. Leoni, G. Ferri, D. Colaiuda, V. Stornelli
In this work, the aim is to propose a study on living plants characterization as an energy source for electricity scavenging to feed low-power devices and autonomous sensors. Nowadays, the widespread of the Internet of Things (loT) and distributed monitoring has led to an increasing demand for autonomous, long-life low-power smart devices. As a consequence, research on alternative energy sources in the surrounding environment, with zero costs and reduced bio impact, is growing. This work demonstrates the feasibility of a plant-based energy harvesting system capable of constantly extracting energy in the order of hundreds of microwatts. The achieved results enable future research works on practical electronic systems to include the energy extraction process from living plants to supply embedded systems for plant monitoring or other similar applications.
在这项工作中,目的是提出一项研究,研究活植物作为一种能量来源,为低功耗设备和自主传感器提供电力。如今,物联网(loT)和分布式监控的广泛应用导致对自主、长寿命、低功耗智能设备的需求不断增加。因此,对零成本和减少生物影响的周边环境替代能源的研究正在增长。这项工作证明了一种基于植物的能量收集系统的可行性,该系统能够持续提取数百微瓦的能量。取得的成果使未来的实际电子系统研究工作能够包括从活植物中提取能量的过程,为植物监测或其他类似应用提供嵌入式系统。
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引用次数: 1
A software system for the assessment of the sleep-wake rhythm using Axivity AX3 基于Axivity AX3的睡眠-觉醒节律评估软件系统
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854306
M. Scalera, Sergio Latrofa, Nunzia Lomonte, Giovanni Tauro, Enrica Gentile
Mobility limitations are a major public health concern along with physical inactivity because they limit an individual's independent life, and, worse, have shown to be key risk factor for several morbidity, including cardiovascular. It is important to investigate modifiable factors that might help preserve mobility, especially in later life. In this work we present the development of the software system Axivity, that supports specialists in conducting in-depth research on patient activity, taking into account data recorded by an actigraph (a simple and non-invasive device used to diagnose sleep) and data provided by the patient or care provider, so as to provide also relationships between activity energy expenditure estimated from wrist-worn accelerometers and the intensity of physical activity. It will be shared as open source.
行动受限与缺乏身体活动一样,是一个主要的公共卫生问题,因为它们限制了个人的独立生活,更糟糕的是,它们已被证明是包括心血管疾病在内的几种疾病的关键风险因素。研究可能有助于保持活动能力的可改变因素是很重要的,尤其是在晚年。在这项工作中,我们介绍了软件系统Axivity的开发,该系统支持专家对患者活动进行深入研究,考虑到活动记录仪(用于诊断睡眠的一种简单且无创的设备)记录的数据和患者或护理提供者提供的数据,从而还提供了腕带加速度计估计的活动能量消耗与身体活动强度之间的关系。它将作为开源共享。
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引用次数: 0
Emission and efficiency estimation of hybrid powertrains with continuous Vehicle Specific Power analysis 基于连续整车比功率分析的混合动力系统排放与效率评估
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854318
Ante Kozina, Tino Vidović, G. Radica, S. Nižetić
The high complexity and large number of hybrid vehicle configurations make it difficult to analyse and evaluate the efficiency and emissions of their propulsion systems. This paper presents a novel mathematical formulation for estimating the gains of hybrid powertrain in the form of exhaust emissions and fuel efficiency. According to the defined energy flow diagram, the mathematical formulation of each emission or fuel consumption source is given as a function of the most influential parameter. The input data are obtained by measuring emissions under real driving conditions or on a test bench which are mandatory during vehicle type approval. This approach is suitable for use as a stand-alone method or as part of simulation software.
混合动力汽车的高复杂性和大量的配置给其推进系统的效率和排放分析和评估带来了困难。本文提出了一种新的以废气排放和燃油效率形式估计混合动力系统增益的数学公式。根据所定义的能量流图,给出了每个排放源或油耗源作为最具影响参数的函数的数学表达式。输入数据是通过在实际驾驶条件下或在车辆型式批准期间强制性的测试台上测量排放而获得的。这种方法适合作为独立方法或作为仿真软件的一部分使用。
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引用次数: 0
Projection of the current and future panorama of thermal comfort in Mexico: An approach from CDH to face the climate change 墨西哥热舒适的当前和未来全景投影:CDH面对气候变化的方法
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854325
M. Torres, D. Bienvenido-Huertas, O. M. Tzuc, L. R. Castellanos, M. F. Bañuelos, A. Bassam
This study identifies the trend in energy consumption of buildings in Mexico to achieve thermal comfort through the Hours Degree Day method (CDH). The 2,430 Mexican municipalities were analyzed with the aim of mapping behavior in buildings. The results show that more than 50% of the Mexican territory requires high air conditioning levels to achieve thermal satisfaction conditions. Additionally, the projections made considering the Representative Concentration Pathway (RCP) scenarios demonstrated that by 2100 the maximum cooling hours would be 40% higher than the current level, while the hours of operation will have a growing trend of more than 30%. The developed methodology offers a national overview of the air conditioning requirement in various predictive models under climatic and operational scenarios in the energy demand for air conditioning spaces. This work serves as a precedent in the research and design of public policies in the construction sector of buildings for the regulation of operational criteria and energy efficiency.
本研究通过小时度日法(CDH)确定了墨西哥建筑能耗的趋势,以实现热舒适。对2430个墨西哥城市进行了分析,目的是绘制建筑物的行为图。结果表明,超过50%的墨西哥领土需要高空调水平来达到热满足条件。此外,考虑代表性浓度路径(RCP)情景的预测表明,到2100年,最大冷却时间将比目前的水平高出40%,而运行时间将有超过30%的增长趋势。开发的方法提供了在气候和空调空间能源需求的运行情景下的各种预测模型的空调需求的全国概况。这项工作为研究和设计建筑施工部门的公共政策提供了先例,以规范操作标准和能源效率。
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引用次数: 0
Profitable Investment in PV and BES Integrated with EV Charging Stations in Croatia - Myth or Reality? 克罗地亚光伏和BES与电动汽车充电站集成的盈利投资-神话还是现实?
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854341
M. Gržanić, Alen Hrga, T. Capuder
The increasing number of electric vehicles (EVs) poses a challenge to the power system operation and manage-ment. To deal with the growing consumption together with the uncertainty related to the time of arrival at the charging station and EV state of energy, the paper investigates the profitability of investment in different low-carbon (LC) technologies in the EV charging stations based on real-EV-data optimization. The model considers several real-life charging points in Croatia at different location (high-way, parking lot in the capital city and parking lot at the sea-side). Analyses show that the investment in PV and BES is profitable under current retail market options resulting in 3% to 70% cost reduction wit different LC technology options, while recently introduced EV charging reimbursement shortens the period of investment in LC technology for 8 years.
随着电动汽车数量的不断增加,对电力系统的运行和管理提出了挑战。为了应对不断增长的消费,以及与充电站到达时间和电动汽车能源状态相关的不确定性,本文基于电动汽车实际数据优化,研究了不同低碳技术在电动汽车充电站的投资盈利能力。该模型考虑了克罗地亚不同位置的几个现实生活中的充电点(高速公路、首都的停车场和海边的停车场)。分析表明,在目前的零售市场选择下,光伏和BES的投资是有利可图的,不同的LC技术选择可使成本降低3%至70%,而最近引入的电动汽车充电报销将LC技术的投资周期缩短了8年。
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引用次数: 1
On the integration of nature-based solutions with digital innovation for health and wellbeing in cities 关于将基于自然的解决方案与城市健康和福祉的数字创新相结合
Pub Date : 2022-07-05 DOI: 10.23919/SpliTech55088.2022.9854269
Elisavet Tsekeri, Aikaterini Lilli, Minas Katsiokalis, K. Gobakis, A. Mania, D. Kolokotsa
In an increasingly urbanised world, local governments and international institutions strive to increase the productivity and efficiency of cities, recognised as economic growth hubs and ensuring a better quality of life and living conditions for citizens The scope of this research paper is to examine a city case study in Chania, Crete, Greece and to present the potential of Nature-based Solutions enriched with digital techniques (IoT, Mixed Reality, ICT) integrated into a future city. The city use case adopts an innovative cross-sectoral approach by combining urban digital transformation and nature-based actions. The city of Chania implements innovative solutions consistent with increasing citizens' awareness, respect for public spaces and integrating green spaces into everyday life. Developing a healthy green mindset for citizens and improving economic opportunities through green-digital strategies drives the implementation of additional actions, towards becoming a more sustainable, equitable, and liveable city.
在日益城市化的世界中,地方政府和国际机构努力提高城市的生产力和效率,使其成为公认的经济增长中心,并确保公民的生活质量和生活条件更好。本研究论文的范围是研究希腊克里特岛哈尼亚的一个城市案例研究,并展示将数字技术(物联网、混合现实、信息通信技术)融入未来城市的基于自然的解决方案的潜力。城市用例采用创新的跨部门方法,将城市数字化转型与基于自然的行动相结合。哈尼亚市实施了创新的解决方案,以提高市民的意识,尊重公共空间,并将绿色空间融入日常生活。为市民培养健康的绿色思维,通过绿色数字战略改善经济机会,推动实施更多行动,成为一个更可持续、更公平、更宜居的城市。
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引用次数: 2
期刊
2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)
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