Systemic archetypes use to developing an interactive software: A children with moderated autism case

Aristizabal, Miguel; Aristizabal, Manuela; Aristizabal, Carolina; Gomez, Z. Santiago; Gomez, G. Santiago

doi:10.1109/cisti.2015.7170489

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…Most landslides occur on rainiest months [1], showing the close relation between the hydroclimatic conditions as a triggering factor and the occurrence of landslides.…”

Section: Introductionmentioning

confidence: 87%

Rainfall seasonality on landslide probability: a modelling approach

Muñoz

Ochoa

2016

E3S Web Conf.

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Abstract. Precipitation is one of the main landslides triggering factors because the amount of infiltrated water into the ground causes changes in pore pressure due to the decrease in suction or the rising water table level. In this paper we estimated the return period of landslides from a rainfall stochastic behavior. Using rainfall intensity and duration probability density functions (pdf) and Philip's infiltration model, the pdf of water infiltrated volume into the soil was obtained. Then, assuming the soil reaches saturation, the pdf of depth wetting front (zw) was obtained. Finally, with zw and the Mohr-Coulomb rupture criteria, the pdf of the Factor of Safety (FS) was determined. Subsequently, landslide occurrence was analyzed under different hydroclimatic scenarios, such as dry and wet seasons and El Niño Southern Oscillation (ENSO) phases. The occurrence of shallow landslides depends more on intensity storm than duration storm, and they are more likely to happen during La Niña phase than during El Niño phase because both storm duration and storm intensity tend to increase.

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“…Most landslides occur on rainiest months [1], showing the close relation between the hydroclimatic conditions as a triggering factor and the occurrence of landslides.…”

Section: Introductionmentioning

confidence: 87%

Rainfall seasonality on landslide probability: a modelling approach

Muñoz

Ochoa

2016

E3S Web Conf.

View full text Add to dashboard Cite

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“…As an example, the reader can refer to the model created for the expansion of a hospital presented by Wolstenholme (2004), and to the model proposed by Kim and Burchill (1992) for the organisation of companies. System archetypes have been used for highly diverse situations such as software development (Aristizábal et al , 2015), the definition of a collaborative structure in a telecommunications company (Aristizábal et al , 2014), the analysis of a specific technique to be used in public organisations (Alves et al , 2014) and the analysis of hydro-policies of water resources (Bazrkar et al , 2013). Finally, the actual understanding of archetypes promotes their usefulness and simplicity for the creation of complex models.…”

Section: Framework Of System Archetype and System Dynamicsmentioning

confidence: 99%

Prospective study using archetypes and system dynamics

Vera

Nikulin

López-Campos

et al. 2019

ARLA

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Purpose The purpose of this paper is to propose a combination of forecasting methods that enables a holistic understanding of a future situation, given certain influencing variables by a combination of real data and expert knowledge. Design/methodology/approach The proposal combines two well-known methods: first, system archetypes that correspond to generic structures, allowing us to handle model management issues, and second, system dynamics that offers technical support on a computational level to assess different scenarios or problem solutions. Findings The case study considers the situation of the mining industry in Chile and its related variables, including four different scenarios. Based on the proposed methodology, the results indicate that: first, the price of copper is paramount for the industry and its effects are not limited to company profits; second, a long period of downfall in copper prices could halt exploration and development projects. Research limitations/implications Systemic archetypes are still a subject of research and their application in different fields of knowledge continues to increase to improve this simulation approach. Practical implications The case study illustrates the combination of a Vester matrix and initial system archetype models that are enriched using the system dynamics approach. Indeed, the case study aims to understand the consequences of different scenarios based on the problem-driven approach provided by Vester. Social implications The goal of prospective studies of large-scale and complex situations is to model the real situation to obtain solutions that may enhance social welfare. Originality/value The proposed methodology contributes to the existing literature by integrating techniques such as the Vester matrix, system archetype modelling and system dynamics simulation, all of which were proposed previously in the literature as independent techniques.

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Systemic archetypes use to developing an interactive software: A children with moderated autism case

Cited by 2 publications

References 22 publications

Rainfall seasonality on landslide probability: a modelling approach

Rainfall seasonality on landslide probability: a modelling approach

Prospective study using archetypes and system dynamics

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