Developing Effective Resilient Architecture Based On Psychologycal Environment And Local Behaviour

<p><strong>Abstract.</strong> This work presents an extended photogrammetric pipeline aimed to improve 3D reconstruction results. Standard photogrammetric pipelines can produce noisy 3D data, especially when images are acquired with various sensors featuring different properties. In this paper, we propose an automatic filtering procedure based on some geometric features computed on the sparse point cloud created within the bundle adjustment phase. Bad 3D tie points and outliers are detected and removed, relying on micro and macro-clusters analyses. Clusters are built according to the prevalent dimensionality class (1D, 2D, 3D) assigned to low-entropy points, and corresponding to the main linear, planar o scatter local behaviour of the point cloud. While the macro-clusters analysis removes smallsized clusters and high-entropy points, in the micro-clusters investigation covariance features are used to verify the inner coherence of each point to the assigned class. Results on heritage scenarios are presented and discussed.</p>

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Non-linear and non-local behaviour in spontaneously electrical solids

Physical Chemistry Chemical Physics ◽

10.1039/c7cp08489g ◽

2018 ◽

Vol 20 (7) ◽

pp. 5112-5116 ◽

Cited By ~ 4

Author(s):

M. Roman ◽

S. Taj ◽

M. Gutowski ◽

M. R. S. McCoustra ◽

A. C. Dunn ◽

...

Keyword(s):

Electric Fields ◽

Dipole Orientation ◽

Local Behaviour ◽

Non Linear ◽

Non Local

We show that solids displaying spontaneous dipole orientation possess quite general non-local and non-linear characteristics expressed through their internal electric fields.

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Local Behaviour of the Trajectories and the φ-Metric

Quadratic Differentials ◽

10.1007/978-3-662-02414-0_3 ◽

1984 ◽

pp. 27-37

Author(s):

Kurt Strebel

Keyword(s):

Local Behaviour

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Local behaviour

University Lecture Series - 𝐽-Holomorphic Curves and Quantum Cohomology ◽

10.1090/ulect/006/02 ◽

1994 ◽

pp. 13-21

Author(s):

Dusa McDuff ◽

Dietmar Salamon

Keyword(s):

Local Behaviour

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Coupling law enforcement and community-based regulations in support of compliance with biodiversity conservation regulations

Environmental Conservation ◽

10.1017/s0376892920000107 ◽

2020 ◽

Vol 47 (2) ◽

pp. 104-112 ◽

Cited By ~ 1

Author(s):

Fidelis Akunke Atuo ◽

Jun Fu ◽

Timothy John O’Connell ◽

Jonathan Akomaye Agida ◽

Jennifer Arubemi Agaldo

Keyword(s):

Law Enforcement ◽

Social Norms ◽

Protected Areas ◽

Community Involvement ◽

Household Income ◽

Community Based ◽

Local Behaviour ◽

The Social ◽

High Prevalence ◽

Illegal Activities

SummaryThe scope and scale of wildlife crimes around the world have risen in intensity and complexity, yet current enforcement strategies have often not delivered desired effects on illegal activities, even within protected areas. Tackling the array of illegal activities by emphasizing law enforcement above other options is challenging and potentially unsustainable. We explored the potential for social norms, community regulations and socioeconomic factors to promote compliance with wildlife laws by interviewing 334 respondents in 28 villages that share boundaries with protected areas in Nigeria. Using an anonymous direct questioning approach, we recorded a high prevalence of non-compliance behaviours in all studied communities. Injunctive norms (i.e., perceptions of acceptable behaviour within a social group) significantly predicted compliance, as respondents with no complicit friends or family members were more likely to comply with wildlife regulations. Perceived likelihood of community-level sanctions played a more salient role than the fear of arrest by rangers in influencing compliance. In addition, non-compliance increased with number of dependents, but reduced with average monthly household income. Our study demonstrates that clear knowledge of the social norms that drive local behaviour as well as the authorities that enforce them is integral to understanding the forces that drive community involvement and participation in conservation. Incorporating local communities in planning enforcement interventions may help protect threatened species and landscapes.

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