scholarly journals Landscape As Cultural Identity In Cau Bau Kan Movie

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Teddy Hendiawan ◽  
Aris Rahmansyah
Keyword(s):  
Cultural Identity ◽  
Social Norms ◽  
Texture Analysis ◽  
Surface Quality ◽  
Textural Analysis ◽  
Social Formation ◽  
Narrative Style

The aim of this research is to investigate the landscape as forming identity in the Cau Bau Kan movie scene. However, the landscape depicted is often symbolic, and often contributes to social formation, impacting on human associations and social norms. The purpose of this study is to know the meaning of landscape into a cultural identity from the Cau Bau Kan movie. This study uses texture analysis to reveal surface quality in a film. The use of textural analysis to interpret and analyze the interrelations of narrative, style, and meaning of the strategy of applying aspects of landscape as cultural identity.

Highland Gatherings, Sport, and Social Class

1986 ◽  
Vol 3 (4) ◽  
pp. 344-355 ◽  
Author(s):  
Grant Jarvie
Keyword(s):  
Social Class ◽  
Cultural Identity ◽  
Social Structure ◽  
Social Formation ◽  
Central Focus

This paper takes as its central focus the development of the Scottish Highland Gatherings. Questioned is the extent to which the transformation and reproduction of this Highland tradition has paralleled broader transformations within the Highland social formation. Such an analysis certainly encompasses some of the most basic questions that might be asked about Scottish cultural identity and social structure.

Pushing Back, Through Media and Civil Society

Hate Spin ◽  
2016 ◽  
Author(s):  
Cherian George
Keyword(s):  
Social Media ◽  
Civil Society ◽  
Cultural Identity ◽  
Social Norms ◽  
State Policy ◽  
Civil Society Organizations ◽  
National Belonging ◽  
News Organizations ◽  
Social Media Platforms

How a society responds to hate spin depends on not only its laws, but also its social norms—in particular, whether people consider bigotry to be socially acceptable or something to fight against, how comfortable they are with ideas and beliefs that are different, and whether their sense of national belonging is based on inclusive democratic values or an exclusive cultural identity. This chapter examines the role of non-state actors in shaping societies’ responses to hate spin. These players—secular and religious civil society groups, news organizations, and social media platforms, for example—are essential parts of any effort to build democracies that are respectful of religious differences. But, like state policy, media and civil society organizations are also often part of the problem, facilitating, encouraging, or even generating hate spin.

scholarly journals Differential Diagnosis of Cysts and Granulomas Supported by Texture Analysis of Intraoral Radiographs

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7481
Author(s):  
Elżbieta Pociask ◽  
Karolina Nurzynska ◽  
Rafał Obuchowicz ◽  
Paulina Bałon ◽  
Daniel Uryga ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Differential Diagnosis ◽  
Texture Analysis ◽  
Regression Models ◽  
Structural Information ◽  
Lossy Compression ◽  
Textural Analysis ◽  
Logistic Regression Models ◽  
Lytic Lesions

The aim of this study was to evaluate whether textural analysis could differentiate between the two common types of lytic lesions imaged with use of radiography. Sixty-two patients were enrolled in the study with intraoral radiograph images and a histological reference study. Full textural analysis was performed using MaZda software. For over 10,000 features, logistic regression models were applied. Fragments containing lesion edges were characterized by significant correlation of structural information. Although the input images were stored using lossy compression and their scale was not preserved, the obtained results confirmed the possibility of distinguishing between cysts and granulomas with use of textural analysis of intraoral radiographs. It was shown that the important information distinguishing the aforementioned types of lesions is located at the edges and not within the lesion.

“We Eat with Different Spoons these Days”: The Maintenance of Pastoralism as a Social Formation in the Sahara and Sahel

2013 ◽  
Vol 6 (3) ◽  
pp. 46-59
Author(s):  
Franklin C. Graham
Keyword(s):  
Resource Management ◽  
Social Norms ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Urban Areas ◽  
The Other ◽  
Social Formation ◽  
Civil Conflicts ◽  
And Behaviors ◽  
Customary Practices

Despite the fatalistic rhetoric articulated by Western media and some experts, pastoralists have not disappeared. Drought, disease, famines, civil conflicts, theft, and banditry have certainly undermined livelihoods and forced families of Arab, Tuareg, Toubou and Fulani to settle and seek out opportunities that are not compatible with pastoralism, particularly in urban areas. This situation is not necessarily permanent and varies case-by-case and more significantly generation-to-generation. Some ex-pastoralists abandoned hopes of restocking their flocks but plan for some of their children to become future pastoralists. In addition, despite sedentarization, many retained customary practices of natural resource management, social norms and behaviors and find in the urban areas other pre-capitalist practices that are compatible with their means of everyday tasks and performances. Using the analyses of Tom Brass, Deborah Bryceson and David Harvey an argument is made that while pastoralists have lost their herds and shifted from their customary economy into a proletarian-capitalist one, the path is not unilinear and in fact, is fluid with pastoralists shifting from one to the other in times of dearth and prosperity.

scholarly journals The Efficacy Analysis of Determining the Wooded and Shrubbed Area Based on Archival Aerial Imagery Using Texture Analysis

2019 ◽  
Vol 8 (10) ◽  
pp. 450 ◽  
Author(s):  
Przemysław Kupidura ◽  
Katarzyna Osińska-Skotak ◽  
Katarzyna Lesisz ◽  
Anna Podkowa
Keyword(s):  
Texture Analysis ◽  
Secondary Succession ◽  
Conservation Status ◽  
Textural Analysis ◽  
Image Features ◽  
Aerial Photographs ◽  
Morphological Operations ◽  
Granulometric Analysis ◽  
Succession Process ◽  
The Impact

Open areas, along with their non-forest vegetation, are often threatened by secondary succession, which causes deterioration of biodiversity and the habitat’s conservation status. The knowledge about characteristics and dynamics of the secondary succession process is very important in the context of management and proper planning of active protection of the Natura 2000 habitats. This paper presents research on the evaluation of the possibility of using selected methods of textural analysis to determine the spatial extent of trees and shrubs based on archival aerial photographs, and consequently on the investigation of the secondary succession process. The research was carried out on imagery from six different dates, from 1971 to 2015. The images differed from each other in spectral resolution (panchromatic, in natural colors, color infrared), in original spatial resolution, as well as in radiometric quality. Two methods of textural analysis were chosen for the analysis: Gray level co-occurrence matrix (GLCM) and granulometric analysis, in a number of variants, depending on the selected parameters of these transformations. The choice of methods has been challenged by their reliability and ease of implementation in practice. The accuracy assessment was carried out using the results of visual photo interpretation of orthophotomaps from particular years as reference data. As a result of the conducted analyses, significant efficacy of the analyzed methods has been proved, with granulometric analysis as the method of generally better suitability and greater stability. The obtained results show the impact of individual image features on the classification efficiency. They also show greater stability and reliability of texture analysis based on granulometric/morphological operations.

Radiomics applied to carotid CT angiograms can identify significant differences between culprit and non-culprit lesions in patients with stroke and transient ischaemic attack

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
E Le ◽  
N.R Evans ◽  
J.M Tarkin ◽  
M.M Chowdhury ◽  
F Zaccagna ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Carotid Artery ◽  
Texture Analysis ◽  
Transient Ischaemic Attack ◽  
Carotid Arteries ◽  
Textural Analysis ◽  
Funding Source ◽  
Single Slice ◽  
Asymptomatic Patients ◽  
Ischaemic Attack

Abstract Background Carotid artery atherosclerosis is an important cause of ischaemic stroke. In oncology, textural analysis (“radiomics”) of computed tomography (CT) images can predict the metastatic potential and prognosis of several types of malignant tumours. We investigated whether this quantitative approach could be applied in carotid artery disease. Purpose (1) To evaluate the feasibility of computed tomography angiography (CTA) texture analysis in differentiating symptomatic from asymptomatic patients. (2) To investigate whether CTA carotid texture analysis can identify culprit lesions in patients with stroke and transient ischaemic attack (TIA). Methods Carotid CTAs of consented research subjects were included in the study. Symptomatic patients had confirmed carotid artery-related ischaemic stroke or TIA in the 7 days before CTA imaging. Asymptomatic (ASX) patients had no prior stroke/TIA. Both TexRAD, a research texture analysis software, and PyRadiomics, a Python package for radiomics studies, were used to extract 99 first-order and higher-order texture features from regions-of-interest (ROI) drawn around the outer wall of the carotid artery. Single-slice analysis compared the carotid bifurcations of symptomatic and asymptomatic patients, and of culprit (CC) and non-culprit (NC) arteries in symptomatic patients. Multi-slice analysis was conducted using a 3D volume defined by ROIs drawn on 14 consecutive CT slices of 3mm thickness, covering 3cm of carotid artery. The Mann-Whitney U test was used for inter-subject comparisons (ASX vs CC; ASX vs NC) and the Wilcoxon signed-rank test was used for intra-subject comparisons (CC vs NC). A p value <0.0005 was deemed statistically significant after Bonferroni correction for multiple comparisons. Non-normally distributed variables are reported as median (interquartile range). Results The dataset comprised 82 carotid arteries from 41 symptomatic patients (41 culprit; 41 non-culprit) and 50 carotid arteries from 25 asymptomatic patients. Single-slice analysis revealed greater homogeneity in asymptomatic carotids versus symptomatic culprit carotids (Uniformity: ASX 0.11 (0.05); CC 0.08 (0.05), p<0.0005) and non-culprit carotids (NC 0.08 (0.18), p<0.0005). In multi-slice analysis, culprit and non-culprit carotid arteries displayed greater heterogeneity than asymptomatic carotids (GLSZM zone entropy: CC 6.57 (0.59); NC 6.76 (0.65); ASX 6.21 (0.32), p<0.0005). Multi-slice analysis of symptomatic culprit versus non-culprit carotids revealed greater heterogeneity in culprit carotids than non-culprit carotids (GLRLM run entropy CC 6.57 (0.59); NC 5.05 (0.70), p<0.0001). Conclusion Textural analysis of carotid CTAs reveal significant differences between symptomatic and asymptomatic patients and between culprit and non-culprit carotid arteries within symptomatic patients. This approach could be used to identify patients at high risk of further stroke for aggressive medical therapy and surveillance. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): EPVL is undertaking a PhD funded by the Cambridge School of Clinical Medicine and the Medical Research Council's Doctoral Training Partnership

scholarly journals Identification of Plant Types by RGB Image Received from UAV by Textural Analysis

2019 ◽  
Author(s):  
Михаил Катаев ◽  
Mikhail Kataev ◽  
Мария Дадонова ◽  
Maria Dadonova
Keyword(s):  
Numerical Analysis ◽  
Unmanned Aerial Vehicles ◽  
Texture Analysis ◽  
Visual Analysis ◽  
Textural Analysis ◽  
Digital Cameras ◽  
Index Analysis ◽  
Aerial Vehicles ◽  
Rgb Image

To date, flying unmanned aerial vehicles (UAVs), with digital cameras on board, have become commonplace. The resulting images are collected in orthophotomaps and more used for visual analysis. A numerical analysis of the content of images is still poorly developed. One of the areas of analysis is the allocation of vegetation in the image and the determination of types. There are many ways to highlight plants in an image, such as texture, color, or index analysis. In this paper, we set the task of processing the image obtained from the UAV, isolating the vegetation in the image, selecting the desired plants from the set, and estimating the area occupied by this plant in the image based on texture analysis.

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