Search results for "95"

Design at the root of biophilia. Imitation. Nature

2021

According to the current state of research on the phenomenon of biophilia, the positive influence of nature's elements on humans has long been widely understood. Since the negative impact of urbanised areas on quality of life was noticed, human-friendly architecture has been redefined, where the physical and mental well-being of people using buildings, remains highly dependent on their contact with the environment. Selected examples of existing buildings analyzed two different approaches to contemporary biophilic architecture; one where nature is the pedestal of the whole building and one where the interpretation of nature translates into technological, engineering or structural solutions. …

From Historical Silk Fabrics to Their Interactive Virtual Representation and 3D Printing

2020

The documentation, dissemination, and enhancement of Cultural Heritage is of great relevance. To that end, technological tools and interactive solutions (e.g., 3D models) have become increasingly popular. Historical silk fabrics are nearly flat objects, very fragile and with complex internal geometries, related to different weaving techniques and types of yarns. These characteristics make it difficult to properly document them, at the yarn level, with current technologies. In this paper, we bring a new methodology to virtually represent such heritage and produce 3D printouts, also making it highly interactive through the tool Virtual Loom. Our work involves sustainability from different per…

Multi-objective optimization of building life cycle performance. A housing renovation case study in Northern Europe

2020

While the operational energy use of buildings is often regulated in current energy saving policies, their embodied greenhouse gas emissions still have a considerable mitigation potential. The study aims at developing a multi-objective optimization method for design and renovation of buildings incorporating the operational and embodied energy demands, global warming potential, and costs as objective functions. The optimization method was tested on the renovation of an apartment building in Denmark, mainly focusing envelope improvements as roof and exterior wall insulation and windows. Cellulose insulation has been the predominant result, together with fiber cement or aluminum-based cladding …

El Sistema musical pitagórico y la proporción áurea en la arquitectura: El Erecteión

1999

El objetivo de este estudio analiza las interrelaciones entre la música, la proporción áurea y la arquitectura helénica, aplicado al Erecteión. Al establecer las ligazones existentes entre ambas manifestaciones artísticas actualizamos la máxima de Spengler que vinculaba el arte de las matemáticas con la música y las artes plásticas. Al mismo tiempo hemos elaborado de manera completa el desarrollo matemático de la proporción aúrea.

Commento all'art. 195 c.p.p.

2008

Artes marciales japonesas: prácticas corporales representativas de su identidad cultural

2011

La implantación y difusión de las artes marciales japonesas en Occidente supuso la importación de prácticas socioculturales privadas de las premisas de su contexto de origen. ¿Cómo afrontar estas prácticas que son ajenas a nuestra identidad cultural? Una interpretación estricta exige entenderlas como prácticas corporales con una idiosincrasia cultural, caracterizadas por incorporar una experiencia vivencial en la que el cuerpo ocupa un lugar preeminente. Su enseñanza y aprendizaje se establecen a través de un sistema triangular integrado por una esencia espiritual, una forma técnica y una estructura física (sin-gi-tai), que se inserta en un proceso singular (shu-ha-ri).

Modeling Chickenpox Dynamics with a Discrete Time Bayesian Stochastic Compartmental Model

2018

[EN] We present a Bayesian stochastic susceptible-exposed-infectious-recovered model in discrete time to understand chickenpox transmission in the Valencian Community, Spain. During the last decades, different strategies have been introduced in the routine immunization program in order to reduce the impact of this disease, which remains a public health's great concern. Under this scenario, a model capable of explaining closely the dynamics of chickenpox under the different vaccination strategies is of utter importance to assess their effectiveness. The proposed model takes into account both heterogeneous mixing of individuals in the population and the inherent stochasticity in the transmiss…

Demand Sharing Inaccuracies in Supply Chains: A Simulation Study

2018

We investigate two main sources of information inaccuracies (i.e., errors and delays) in demand information sharing along the supply chain (SC). Firstly, we perform a systematic literature review on inaccuracy in demand information sharing and its impact on supply chain dynamics. Secondly, we model several SC settings using system dynamics and assess the impact of such information inaccuracies on SC performance. More specifically, we study the impact of four factors (i.e., demand error, demand delay, demand variability, and average lead times) using three SC dynamic performance indicators (i.e., bullwhip effect, inventory variability, and average inventory). The results suggest that demand …

DeepEva: A deep neural network architecture for assessing sentence complexity in Italian and English languages

2021

Abstract Automatic Text Complexity Evaluation (ATE) is a research field that aims at creating new methodologies to make autonomous the process of the text complexity evaluation, that is the study of the text-linguistic features (e.g., lexical, syntactical, morphological) to measure the grade of comprehensibility of a text. ATE can affect positively several different contexts such as Finance, Health, and Education. Moreover, it can support the research on Automatic Text Simplification (ATS), a research area that deals with the study of new methods for transforming a text by changing its lexicon and structure to meet specific reader needs. In this paper, we illustrate an ATE approach named De…

Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation

2019

Abstract Recent advances in intrusion detection systems based on machine learning have indeed outperformed other techniques, but struggle with detecting multiple classes of attacks with high accuracy. We propose a method that works in three stages. First, the ExtraTrees classifier is used to select relevant features for each type of attack individually for each (ELM). Then, an ensemble of ELMs is used to detect each type of attack separately. Finally, the results of all ELMs are combined using a softmax layer to refine the results and increase the accuracy further. The intuition behind our system is that multi-class classification is quite difficult compared to binary classification. So, we…