670 research outputs found
A Comprehensive Metric to Assess the Security of Future Energy Systems Through Energy System Optimization Models
No full textEnsuring energy security is one of the main objectives of energy policies of many countries worldwide. In this regard, this paper proposes a metric to evaluate energy security under medium-to-long term energy scenarios generated by the TEMOA-Italy model. Such a metric consists of an energy security index covering several dimensions of energy security. Among them, the inclusion of the supply risk of critical raw materials represents a novelty, compared to the existing literature. Moreover, critical raw materials are crucial for the decarbonization of urban energy systems, for instance through smart cities and vehicles to grid strategies. The analysis here shows how the penetration of low-carbon technologies can provide significant benefits to energy security, while their dependence on critical raw materials could represent a bottleneck for the evolution of the energy system. Accordingly, the metric presented in this paper can provide relevant policy insights on the effects of the transition from fossil fuels to low carbon sources on energy security
May the availability of critical raw materials affect the security of energy systems? An analysis for risk-aware energy planning with TEMOA-Italy
Full text linkThe energy transition requires the deployment of clean energy technologies, which typically requires critical raw materials. Their supply chains are characterized by high geographical concentration and political instability, thus leading to potential supply chain bottlenecks and negative impacts on the security of energy systems. However, these aspects are not considered in traditional energy security metrics. To address this lack, this paper proposes a novel energy security metric to study the impact of potential materials supply chain bottlenecks on future energy systems. First, a comprehensive metric is developed by including the supply risks associated with clean energy technologies. Second, the metric is applied to materials supply disruption scenarios. The case study is the Italian energy system, though the TEMOA-Italy open model. The results show that transport is the sector most contributing to the material consumption and mostly affected by the considered materials disruption causes, especially concerning the battery electric vehicles penetration. On the contrary, the power sector is minorly influenced by the introduction of supply disruptions except for storage technologies. Lastly, the material supply risk dimension strongly influences the overall energy security of the system, which increases in disruption scenarios when a lower consumption of critical raw materials is forced
The Pottesman Collection in the British Museum. Early Dynastic and Sargonic administrative texts. With an Appendix on a Palmyrene Inscription
No full textEdizione, trascrizione, traduzione e commento di un frammento di iscrizione palmirena inedita presente nella collezione Pottesman del British Museum (Appendice Agostini).The British Museum houses a small collection of six cuneiform tablets and a Palmyrene dedicatory inscription purchased in 1987 from the private collection of Solomon Pottesman. The aim of the present contribution is to provide a catalog of this lot and an edition of the so far unpublished cuneiform texts. In the appendix, Alessio Agostini added the edition of the Palmyrene inscription, which would have otherwise gone beyond the capabilities of the present author
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks
Full text linkCapsule Networks (CapsNets) are able to hierarchically preserve the pose relationships between multiple objects for image classification tasks. Other than achieving high accuracy, another relevant factor in deploying CapsNets in safety-critical applications is the robustness against input transformations and malicious adversarial attacks.In this paper, we systematically analyze and evaluate different factors affecting the robustness of CapsNets, compared to traditional Convolutional Neural Networks (CNNs). Towards a comprehensive comparison, we test two CapsNet models and two CNN models on the MNIST, GTSRB, and CIFAR10 datasets, as well as on the affine-transformed versions of such datasets. With a thorough analysis, we show which properties of these architectures better contribute to increasing the robustness and their limitations. Overall, CapsNets achieve better robustness against adversarial examples and affine transformations, compared to a traditional CNN with a similar number of parameters. Similar conclusions have been derived for deeper versions of CapsNets and CNNs. Moreover, our results unleash a key finding that the dynamic routing does not contribute much to improving the CapsNets' robustness. Indeed, the main generalization contribution is due to the hierarchical feature learning through capsules
Recensione di Cecilia Falchini (2023). Ruperto di deutz - Un’intima familiarità. Antologia, Edizioni Qiqajon (Comunità di Bose), Magnano (Bi), 281 pp.
No full textReview of Cecilia Falchini (2023). Ruperto di deutz - Un’intima familiarità. Antologia, Edizioni Qiqajon (Comunità di Bose), Magnano (Bi), 281 pp.
Author: Alessio MagogaRecensione di Cecilia Falchini (2023). Ruperto di deutz - Un’intima familiarità. Antologia, Edizioni Qiqajon (Comunità di Bose), Magnano (Bi), 281 pp.
Autor: Alessio Magog
El más elegante de los trajes
Full text linkSobre Black Hearts in Black Suits (2014), de Spiritual Front y música de
Stefano Puri. Interpretado por Adalgisa Condoluci, Chiara Bulgarini, Alto;
Alessio Trillò Graves – Simone Cappelli, Barítono; Alessia Scarabotti,
Giulia Trabucchi, Soprano; Antonio Culicigno, Tenor; Francesco Marquez,
Cello; Eleonora Grasso, Viola; Patrizia De Carlo, Roberta Palmigiani,
Violin; Stefano Puri, Piano y Armonio; Simone Salvatori, Voz. Compositor,
arreglador, dirección de orquesta: Stefano Puri. Producción General:
Fabio Colucci, Simone Salvatori, Stefano Puri. Ingeniero de Sonido: Fabio
Colucci. Rustblade Records
Handheld-Impedance-Measurement System with seven-decade capability and potentiostatic function
Full text linkThis paper describes design and test of a new impedance-measurement system for nonlinear devices that exhibits a seven-decade range and works down to a frequency of 0.01 Hz. The system is specifically designed for electrochemical measurements, but the proposed architecture can be employed in many other fields where flexible signal generation and analysis are required. The system employs an unconventional signal generator based on two pulsewidth modulation (PWM) oscillators and an autocalibration system that allows uncertainties of less than 3% to be obtained over a range of 1 kΩ to 100 GΩ. A synchronous demodulation processing allows the noise superimposed to the low-amplitude input signals to be made negligibl
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks
Full text linkCapsule Networks (CapsNets), recently proposed by the Google Brain team, have superior learning capabilities in machine learning tasks, like image classification, compared to the traditional CNNs. However, CapsNets require extremely intense computations and are difficult to be deployed in their original form at the resource-constrained edge devices. This paper makes the first attempt to quantize CapsNet models, to enable their efficient edge implementations, by developing a specialized quantization framework for CapsNets. We evaluate our framework for several benchmarks. On a deep CapsNet model for the CIFAR10 dataset, the framework reduces the memory footprint by 6.2x, with only 0.15% accuracy loss. We will open-source our framework at https://git.io/JvDIF
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