Mathematical Analysis and Modeling of the Factors That Determine the Quality of Life in the City Councils of Chile

Ríos-Vásquez, Gonzalo; Fuente‐Mella, Hanns de la

doi:10.3390/math11051218

Cited by 2 publications

(2 citation statements)

References 44 publications

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“…The distribution and structure of data can influence the performance and results of the clustering technique [30]. Therefore, the appropriate first step in the application of the K-means technique is data normalization [31]. This ensured that all data had a similar scale between 0 and 1.…”

Section: Ae Hits From a Sedimentation Processmentioning

confidence: 99%

Dimensionless Parameters for Waveform Characterization of Acoustic Emission Signals: Application to Sedimentation and Soil Compression Experiments

Castro,

García-Ros,

Villalva-León

et al. 2023

Symmetry

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Acoustic Emission (AE) is a non-destructive evaluation method that uses transient elastic waves produced by the sudden release of mechanical energy in a material or structure. This method generates multiple AE events during testing; therefore, it is important to develop parameters that capture the characteristics of each event (AE hit). The paper introduces new dimensionless parameters to characterize the waveform of AE signals: Earliness, Transitoriness, and Early Transitoriness. The study shows that these parameters provide an accurate description of AE waveforms, in some respects, better than traditional parameters, which makes them suitable for filtering with simple rules or in combination with machine-learning techniques. Two examples of the application of AE hit filtering from sedimentation and soil compression experiments are provided. In the sedimentation test analysis, the proposed parameters were used with K-means clustering to filter AE hits from outside the zone of interest and to calculate the rate of sedimentation. In the compression test of a sand sample under oedometric conditions, a simple filtering rule was applied to discriminate AE hits from unwanted sources and obtain a clear AE energy cumulative curve. In both cases, the dimensionless parameters have shown the capacity to discriminate between different AE sources and paths and the possibility of filtering hits from unwanted sources.

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Section: Ae Hits From a Sedimentation Processmentioning

confidence: 99%

Dimensionless Parameters for Waveform Characterization of Acoustic Emission Signals: Application to Sedimentation and Soil Compression Experiments

Castro,

García-Ros,

Villalva-León

et al. 2023

Symmetry

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“…Another study was conducted by Ríos-Vásquez and de la Fuente-Mella (2023). One of the goals was to classify Quality of Life in the City Councils of Chile using hierarchical and non-hierarchical cluster analysis, resulting in 4 similar clusters [12]. In all cases, the results are suggestions to support decision-making in social welfare development and to identify the characteristics of the various districts/cities.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Cluster Analysis on People's Welfare in Southeast Sulawesi Province

Musa

Fallo²

2023

BAREKENG: J. Math. & App.

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Problems with people's welfare typically result from the government's development efforts in a region not being done properly or not being done equally. Consider grouping and defining the traits of each region's degree of welfare as a potential answer to ensure that development policies and strategies are well-targeted. This study aims to classify 17 regency/cities in Southeast Sulawesi province based on several indicators of people's welfare. The method used is hierarchical cluster analysis with several approaches, including Single Linkage, Complete Linkage, Average Linkage, and Ward's. The data used in this study is secondary data obtained from the publication of the Central Agency of Statistics (CAS) of Southeast Sulawesi Province. Based on the results of the evaluation the best method used is Ward's method which produces three clusters. The first cluster consists of 9 regencies, namely Buton, North Buton, South Buton, Central Buton, Muna, West Muna, Wakatobi, Konawe Islands, and East Kolaka, the majority of which come from the archipelago. Some of the problems that occur in these areas are the relatively high poverty rate and the low average length of schooling and life expectancy. The same thing happened to the second cluster which consisted of 6 regencies, namely Konawe, South Konawe, North Konawe, Bombana, Kolaka, and North Kolaka with problems of poverty, the average length of schooling, and relatively low sources of proper drinking water when compared to other clusters. The third cluster consists of 2 urban areas, namely Kendari City and Baubau City, the problems that occur are the relatively high unemployment rate and population density. The government ought to offer more initiatives to handle issues with poverty, education, and health in regions in clusters 1 and 2. While in cluster 3, the government ought to offer more initiatives to combat jobless issues and prepare for rising population densities.

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Mathematical Analysis and Modeling of the Factors That Determine the Quality of Life in the City Councils of Chile

Cited by 2 publications

References 44 publications

Dimensionless Parameters for Waveform Characterization of Acoustic Emission Signals: Application to Sedimentation and Soil Compression Experiments

Dimensionless Parameters for Waveform Characterization of Acoustic Emission Signals: Application to Sedimentation and Soil Compression Experiments

Hierarchical Cluster Analysis on People's Welfare in Southeast Sulawesi Province

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