The Interpretation of Textile Production and Use by High and Low Status Caddoan Groups

1990 ◽  
Vol 185 ◽  
Author(s):  
Jenna Tedrick Kuttruff
Keyword(s):  
Data Sets ◽  
Textile Production ◽  
Mississippian Period ◽  
Cultural Phenomenon ◽  
Technological Differences ◽  
Fabric Structure ◽  
Status Differentiation ◽  
Utilization Patterns ◽  
Status Differences

AbstractThis paper demonstrates the application of technical studies of the fragmented remains of archaeological textiles to the reconstruction of past textile technologies and to the interpretation of the cultural phenomenon of status differentiation. The analyses of archaeological textile remains recovered from Caddoan burial contexts (Mississippian period) in Oklahoma, Arkansas, and Missouri provided information for the interpretation of differential production and use of textiles by high and low status groups within that prehistoric society of the southeastern United States. The research is based upon the characterization of specific textile attributes and burial context. The data sets utilized in the textile analyses include fabric structure, fabric scale, edge treatment, patterning, design, coloration, yarn structure, and fibers. Production complexity for each textile is assessed and then ranked using a recently developed textile production complexity index. Those specific textile attributes that appear to be most highly associated with status differences are identified using two different statistical procedures. Technological differences as well as textile utilization patterns between high and low groups are explored.

Mississippian Period Status Differentiation through Textile Analysis: A Caddoan Example

1993 ◽  
Vol 58 (01) ◽  
pp. 125-145
Author(s):  
Jenna Tedrick Kuttruff
Keyword(s):  
Pattern Recognition ◽  
Contingency Tables ◽  
Mississippian Period ◽  
Status Differentiation ◽  
Textile Analysis ◽  
Status Differences ◽  
Ordinal Index ◽  
Color Patterning

Specific attributes were recorded for 119 textiles recovered from burial contexts from Craig Mound at the Spiro site and eight southern Ozark bluff shelters. Textile attributes that varied according to status designations of the burial contexts were identified using the following three avenues of investigation. The textiles were rated using an ordinal index of production complexity, and more complex textiles were found to be associated with burial contexts of presumed higher status. Use of a series of contingency tables identified edge finishes, color, patterning, design motif, fiber, and scale as attributes that are individually associated with status differences. When selected attributes were considered together using a classification and pattern-recognition program, color description, scale, fiber, and number of yarn components were identified as the best predictors of status association.

Mississippian Period Status Differentiation through Textile Analysis: A Caddoan Example

1993 ◽  
Vol 58 (1) ◽  
pp. 125-145 ◽  
Author(s):  
Jenna Tedrick Kuttruff
Keyword(s):  
Pattern Recognition ◽  
Contingency Tables ◽  
Mississippian Period ◽  
Status Differentiation ◽  
Textile Analysis ◽  
Status Differences ◽  
Ordinal Index ◽  
Color Patterning

Specific attributes were recorded for 119 textiles recovered from burial contexts from Craig Mound at the Spiro site and eight southern Ozark bluff shelters. Textile attributes that varied according to status designations of the burial contexts were identified using the following three avenues of investigation. The textiles were rated using an ordinal index of production complexity, and more complex textiles were found to be associated with burial contexts of presumed higher status. Use of a series of contingency tables identified edge finishes, color, patterning, design motif, fiber, and scale as attributes that are individually associated with status differences. When selected attributes were considered together using a classification and pattern-recognition program, color description, scale, fiber, and number of yarn components were identified as the best predictors of status association.

Anti-Geometry and NeutroGeometry Characterization of Non-Euclidean Data

2021 ◽  
pp. 24-33
Author(s):  
Prem Kumar Singh ◽  
Keyword(s):  
Euclidean Geometry ◽  
Current Paper ◽  
Data Sets ◽  
Knowledge Processing ◽  
Non Euclidean Geometry ◽  
Precise Representation

Recently, a problem is addressed while dealing with fourth dimensional or non-Euclidean data sets. These are the data sets does not follow one of the postulates established by Euclid specially the parallel postulates. In this case, the precise representation of these data sets is major issues for knowledge processing tasks. Hence, the current paper tried to introduce some non-Euclidean geometry or Anti-Geometry methods and its examples for various applications.

scholarly journals Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review

Atmosphere ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 264 ◽  
Author(s):  
Gerald Lohmann
Keyword(s):  
Short Review ◽  
Power Grids ◽  
Small Scale ◽  
Stable Operation ◽  
Data Sets ◽  
Spatial Smoothing ◽  
Spatial And Temporal Scales ◽  
Output Variability ◽  
Temporal Averaging

The ongoing world-wide increase of installed photovoltaic (PV) power attracts notice to weather-induced PV power output variability. Understanding the underlying spatiotemporal volatility of solar radiation is essential to the successful outlining and stable operation of future power grids. This paper concisely reviews recent advances in the characterization of irradiance variability, with an emphasis on small spatial and temporal scales (respectively less than about 10 km and 1 min), for which comprehensive data sets have recently become available. Special attention is given to studies dealing with the quantification of variability using such unique data, the analysis and modeling of spatial smoothing, and the evaluation of temporal averaging.

scholarly journals Bayesian Classification of Microbial Communities Based on 16S rRNA Metagenomic Data

2018 ◽  
Author(s):  
Arghavan Bahadorinejad ◽  
Ivan Ivanov ◽  
Johanna W Lampe ◽  
Meredith AJ Hullar ◽  
Robert S Chapkin ◽  
...  
Keyword(s):  
16S Rrna ◽  
Sample Size ◽  
Microbial Communities ◽  
State Of The Art ◽  
Metagenomic Data ◽  
Data Sets ◽  
Sequencing Data ◽  
Sample Data

AbstractWe propose a Bayesian method for the classification of 16S rRNA metagenomic profiles of bacterial abundance, by introducing a Poisson-Dirichlet-Multinomial hierarchical model for the sequencing data, constructing a prior distribution from sample data, calculating the posterior distribution in closed form; and deriving an Optimal Bayesian Classifier (OBC). The proposed algorithm is compared to state-of-the-art classification methods for 16S rRNA metagenomic data, including Random Forests and the phylogeny-based Metaphyl algorithm, for varying sample size, classification difficulty, and dimensionality (number of OTUs), using both synthetic and real metagenomic data sets. The results demonstrate that the proposed OBC method, with either noninformative or constructed priors, is competitive or superior to the other methods. In particular, in the case where the ratio of sample size to dimensionality is small, it was observed that the proposed method can vastly outperform the others.Author summaryRecent studies have highlighted the interplay between host genetics, gut microbes, and colorectal tumor initiation/progression. The characterization of microbial communities using metagenomic profiling has therefore received renewed interest. In this paper, we propose a method for classification, i.e., prediction of different outcomes, based on 16S rRNA metagenomic data. The proposed method employs a Bayesian approach, which is suitable for data sets with small ration of number of available instances to the dimensionality. Results using both synthetic and real metagenomic data show that the proposed method can outperform other state-of-the-art metagenomic classification algorithms.

scholarly journals A ocupação humana antiga (11-7 mil anos atrás) do Planalto Meridional Brasileiro: caracterização geomorfológica, geológica, paleoambiental e tecnológica de sítios arqueológicos relacionados a três distintas indústrias líticas

2020 ◽  
Vol 13 (6) ◽  
pp. 2553
Author(s):  
Pedro Michelutti Cheliz ◽  
João Carlos Moreno de Sousa ◽  
Gabriela Sartori Mingatos ◽  
Mercedes Okumura ◽  
Astolfo Gomes de Mello Araujo
Keyword(s):  
Significant Variation ◽  
Raw Materials ◽  
Archaeological Sites ◽  
Data Sets ◽  
Human Settlement ◽  
Human Occupation ◽  
Natural Landscapes ◽  
Lithic Artifacts ◽  
The Relationship

Com o objetivo de ponderar conexões entre quadros naturais e a ocupação humana pré-colonial, caracterizou-se os artefatos e a contextualização geomorfológica e ambiental de quatro sítios líticos vinculados a antigos registros de grupos caçadores-coletores do sul e sudeste do Brasil, associados a três distintas indústrias líticas. Elencou-se associação dos sítios com terrenos de baixos declives e altimetrias em seus respectivos contextos (terrenos mais estáveis para fixação humana), adjacentes a córregos e próximos de faixas do terreno que registram maiores inclinações e desníveis verticais, mais propensas a apresentarem afloramentos rochosos (fontes potenciais de matérias-primas para a confecção de ferramentas lascadas). Elencou-se fontes de matérias-primas nos entornos de cada sítio e as matérias-primas associadas aos artefatos, e ponderou-se a correlação entre os dois conjuntos de dados. Analisou-se a relação dos padrões tecnológicos de artefatos líticos com a caracterização petrográfica das matérias-primas, verificando-se quais silcretes semelhantes foram usadas para produção de artefatos distintos. Ainda, verificou-se que alguns dos produtos líticos de um dos sítios analisados mostram padrões tecnológicos semelhantes, mesmo quando obtidos a partir de silcretes distintos. Caracterizou-se ausência de variação significativa dos atributos tecnológicos dos artefatos registrados em diferentes posicionamentos verticais nos perfis das unidades de escavação nas quais foram registrados, mesmo quando mostram-se associados a registros paleoambientais distintos (alternâncias entre climas mais secos que os atuais e condições caracterizadas por incrementos de umidade no intervalo de 11 a 7 mil anos atrás).Palavras chave: sítios arqueológicos líticos; Holoceno Inicial, paleoclimas, ameríndios, geoarqueologia The ancient human occupation (11-7 thousand years ago) of the Southern Brazilian Plateau: geomorphological, geological, paleoenvironmental and technological characterization of archaeological sites related to three distinct lithic industries A B S T R A C T In order to discuss connections between the natural landscapes and pre-colonial human occupation, were characterized the artifacts and the geomorphological and environmental contextualization of four lithic sites linked to ancient records of hunter-gatherer groups from the south and southeast of Brazil, associated with three distinct lithic industries. The association of sites with low slopes and altimetry in their respective contexts (more stable terrains for human settlement), adjacent to rivers and close to terrains that register greater inclinations and vertical unevenness, more likely to present rocky outcrops (potential sources of raw materials for making chipped tools) was listed. Were characterized sources of raw materials in the surroundings of each site, the raw materials associated with the artifacts, and the correlation between the two data sets was considered. The relationship between the technological standards of lithic artifacts and the petrographic characterization of the raw materials was analyzed, verifying which similar raw materials were used to produce different artifacts. Also, it was found that some of the lithic products from one of the analyzed sites show similar technological patterns, even when obtained from different raw materials. There was a lack of significant variation in the technological attributes of the artifacts recorded in different vertical positions in the profiles of the excavation units in which they were recorded, even when they are associated with different paleoenvironmental records (alternations between drier climates than current and others characterized by increments in the moisture between 11 to 7 thousand years ago).Keywords: lithic archaeological sites; Initial Holocene, paleoclimates, amerindians, geoarchaeology 

Computing Constrained Shortest-Paths at Scale

2021 ◽  
Author(s):  
Alberto Vera ◽  
Siddhartha Banerjee ◽  
Samitha Samaranayake
Keyword(s):  
Shortest Paths ◽  
Data Sets ◽  
Network Clustering ◽  
Real World Data ◽  
Scalable Algorithm ◽  
Theoretical Contribution ◽  
Practical Algorithms ◽  
Transportation Service ◽  
Constrained Shortest Paths

Motivated by the needs of modern transportation service platforms, we study the problem of computing constrained shortest paths (CSP) at scale via preprocessing techniques. Our work makes two contributions in this regard: 1) We propose a scalable algorithm for CSP queries and show how its performance can be parametrized in terms of a new network primitive, the constrained highway dimension. This development extends recent work that established the highway dimension as the appropriate primitive for characterizing the performance of unconstrained shortest-path (SP) algorithms. Our main theoretical contribution is deriving conditions relating the two notions, thereby providing a characterization of networks where CSP and SP queries are of comparable hardness. 2) We develop practical algorithms for scalable CSP computation, augmenting our theory with additional network clustering heuristics. We evaluate these algorithms on real-world data sets to validate our theoretical findings. Our techniques are orders of magnitude faster than existing approaches while requiring only limited additional storage and preprocessing.

Care to Share?

2015 ◽  
pp. 222-244
Author(s):  
Paolo Santi ◽  
Carlo Ratti
Keyword(s):  
Urban Environment ◽  
Methodological Approach ◽  
Relevant Literature ◽  
Taxi Driver ◽  
Data Sets ◽  
Exciting Field ◽  
Ride Sharing ◽  
Gps Devices ◽  
The Impact

GPS technology has been extensively used to optimize operation of taxi systems since the first appearance of commercial GPS devices. Owing to this, data sets generated by taxi fleets are amongst the first and most representative examples of massive GPS data that have been systematically collected. The analysis of these data sets has recently generated a rich literature aimed at, among other things, identifying optimal taxi driver strategies, predicting taxi demand or location of vacant taxis, etc. This chapter focuses on what is a new, exciting field of investigation of GPS taxi data analysis, namely, evaluating the impact of a shared taxi system on the urban environment. After introducing the notion of (taxi) ride sharing, the chapter presents the relevant literature, describing in greater details a methodological approach called “shareability network” that allows formal characterization of taxi sharing opportunities in an urban environment.

Characterization of HRV by Poincare Plot Analysis among the Female Tea Garden Workers of Northern Hilly Regions of West Bengal

2010 ◽  
Vol 5 (2) ◽  
pp. 49-59 ◽  
Author(s):  
Somsirsa Chatterjee ◽  
Ankur Ganguly ◽  
Saugat Bhattacharya
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Standard Deviation ◽  
West Bengal ◽  
Mean Value ◽  
Data Sets ◽  
Short Term ◽  
Poincaré Plot ◽  
Tea Garden

Recent research on Heart Rate Variability (HRV) has proven that Poincare Plot is a powerful tool to mark Short Term and Long Term Heart Rate Variability. This study focuses a comprehensive characterization of HRV among the Tea Garden Workers of the Northern Hilly Regions of West Bengal. The characterization, as available from the data sets, projects the average values of SD1 characteristics, that is, Short Term HRV in females as 58.265ms and SD2 as 149.474. The SDRR shows a mean value of 87.298 with a standard deviation of 119.669 and the S Characterization as 16505.99 ms and Standard deviation of 45882.31 ms. The SDRR shows a mean value of 87.298 with a standard deviation of 119.669 and the S Characterization as 16505.99 ms and Standard deviation of 45882.31 ms. ApEn Characterization showed mean value of 0.961 and standard deviation of 0.274.

Development and Comfort Characterization of 2D-Woven Auxetic Fabric for Wearable and Medical Textile Applications

2018 ◽  
Vol 36 (3) ◽  
pp. 199-214 ◽  
Author(s):  
Mumtaz Ali ◽  
Muhammad Zeeshan ◽  
Sheraz Ahmed ◽  
Bilal Qadir ◽  
Yasir Nawab ◽  
...  
Keyword(s):  
Air Permeability ◽  
Woven Fabric ◽  
Medical Applications ◽  
Simple Method ◽  
Fabric Structure ◽  
Medical Textile ◽  
Commercial Applications ◽  
Auxetic Structure ◽  
Higher Sensitivity

Knitted auxetic fabrics (AF) are in common practice but their stability and thickness are major problems in commercial applications. Therefore, a simple method of developing woven AF is proposed here. Differential shrinking property of different weaves is utilized to visualize auxetic honey comb geometry in fabric structure. Based on this fabric structure, auxeticity is induced in 2-D-woven fabric. AF is developed using conventional nonauxetic materials (i.e., cotton in warp and elastane [Lycra] yarn in the weft). Auxetic nature and auxetic structure in the fabric were characterized by microscope. Comfort properties (air permeability, thermal resistance, stiffness, and wicking) of AF were compared with conventional nonauxetic fabrics (NAF). Piezoresistive nature of conductive AF and NAF is also compared. AF showed superior comfort properties and higher sensitivity as compared to conventional NAF. Based on results, AF can be considered better replacement of conventional NAF in wearable and medical applications.

Sign in / Sign up

Export Citation Format

Share Document