scholarly journals MULTIVARIATE ANALYSIS FOR CLASSIFICATION OF DENDROMETRIC AND ENERGETIC VARIABLES OF Eucalyptus benthamii

FLORESTA ◽  
2020 ◽  
Vol 51 (1) ◽  
pp. 118
Author(s):  
Cristiane Carla Benin ◽  
Luciano Farinha Watzlawick ◽  
Vanderlei Aparecido De Lima
Keyword(s):  
Energy Use ◽  
Basic Density ◽  
Multivariate Techniques ◽  
Average Height ◽  
Multivariate Statistical ◽  
Energetic Properties ◽  
Hierarchical Grouping ◽  
Lower Productivity ◽  
Main Components

The objective of this study was to evaluate dendrometric data and energetic properties of E. benthamii, based on evaluations in plantations of different ages and regions of production, in Guarapuava-PR, through multivariate statistical analysis. The data refer to three regions (R1, R2 and R3) and ages (5, 6 and 7 years), were submitted to multivariate techniques: factor analysis, analysis of the main components and analysis of hierarchical grouping. The reduction in the dimensionality of the data was found containing only 5 attributes of the initial 13, which are (average DBH, average height, volume per hectare, basic density of wood and energy density), associated with two main components, capable of representing 95.22% of the data variance. The plantations in the R1 region with seven years of age showed excellent energetic properties, while the plantations in R2 region with seven years and R3 region with six years represent more productive areas, evaluated by dendrometric variables. It was also observed that plantations with older age and higher basic wood density have higher quality for energy use. It can be concluded that the cluster analysis was adequate to efficiently stratify regions and ages with higher and lower productivity, as well as those with better energetic properties.

Multivariate Statistical Methods and Classification Problems

1971 ◽  
Vol 119 (549) ◽  
pp. 121-127 ◽  
Author(s):  
A. E. Maxwell
Keyword(s):  
Factor Analysis ◽  
Statistical Methods ◽  
Depressive Illness ◽  
Canonical Variate ◽  
Multivariate Techniques ◽  
Classification Problems ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Variate Analysis

Multivariate statistical methods are being used increasingly in an effort to clarify problems in psychiatric classification. Numerous references to their application could be given, but it is sufficient here to mention recent publications by Kiloh and Garside (1963), Carney, Roth and Garside (1965) and by Kendell (1968) which have received especial attention (e.g. Eysenck, 1970), as they are concerned with the longstanding controversy about the classification of depressive illness. But there is some confusion, not least amongst the critics, about the particular roles which different multivariate techniques, notably factor analysis, can play in classification problems, and in this paper an attempt is made to clarify the situation. Almost as a trial of the reader's endurance this attempt necessitates some preliminary discussion of the psychometric concept of a ‘unitary trait’ and of the statistical rules involved in defining it. But after this problem has been disposed of attention is confined to a discussion of the main multivariate techniques in question—factor analysis, discriminant function and canonical variate analysis, and finally cluster analysis. The attitude adopted in the paper is admittedly purist, but when controversy arises, as in the case of the classification of depressive illnesses, it is well to be clear about the precise properties and purposes of the statistical models we employ if confusion is to be avoided.

scholarly journals Classification of Tea Aromas Using Multi-Nanoparticle Based Chemiresistor Arrays

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2547 ◽  
Author(s):  
Tuo Gao ◽  
Yongchen Wang ◽  
Chengwu Zhang ◽  
Zachariah A. Pittman ◽  
Alexandra M. Oliveira ◽  
...  
Keyword(s):  
Chemical Sensor ◽  
Sensor Arrays ◽  
Machine Learning Algorithms ◽  
Single Type ◽  
Multivariate Techniques ◽  
Integrated Sensor ◽  
Resistance Change ◽  
Linear Discriminant ◽  
Lift Off

Nanoparticle based chemical sensor arrays with four types of organo-functionalized gold nanoparticles (AuNPs) were introduced to classify 35 different teas, including black teas, green teas, and herbal teas. Integrated sensor arrays were made using microfabrication methods including photolithography and lift-off processing. Different types of nanoparticle solutions were drop-cast on separate active regions of each sensor chip. Sensor responses, expressed as the ratio of resistance change to baseline resistance (ΔR/R0), were used as input data to discriminate different aromas by statistical analysis using multivariate techniques and machine learning algorithms. With five-fold cross validation, linear discriminant analysis (LDA) gave 99% accuracy for classification of all 35 teas, and 98% and 100% accuracy for separate datasets of herbal teas, and black and green teas, respectively. We find that classification accuracy improves significantly by using multiple types of nanoparticles compared to single type nanoparticle arrays. The results suggest a promising approach to monitor the freshness and quality of tea products.

scholarly journals STATISTICAL MULTIVARIATE ANALYSIS APPLIED TO ENVIRONMENTAL CHARACTERIZATION OF SOIL IN SEMIARID REGION1

2019 ◽  
Vol 32 (1) ◽  
pp. 200-210
Author(s):  
Antônio Italcy de Oliveira Júnior ◽  
Luiz Alberto Ribeiro Mendonça ◽  
Sávio de Brito Fontenele ◽  
Adriana Oliveira Araújo ◽  
Maria Gorethe de Sousa Lima Brito
Keyword(s):  
Organic Matter Content ◽  
Principal Component ◽  
Matter Content ◽  
Multivariate Statistical ◽  
Statistical Tool ◽  
Environmental Characterization ◽  
Hierarchical Grouping ◽  
Two Factors ◽  
Total Data

ABSTRACT Soil is a dynamic and complex system that requires a considerable number of samples for analysis and research purposes. Using multivariate statistical methods, favorable conditions can be created by analyzing the samples, i.e., structural reduction and simplification of the data. The objective of this study was to use multivariate statistical analysis, including factorial analysis (FA) and hierarchical groupings, for the environmental characterization of soils in semiarid regions, considering anthropic (land use and occupation) and topographic aspects (altitude, moisture, granulometry, PR, and organic-matter content). As a case study, the São José Hydrographic Microbasin, which is located in the Cariri region of Ceará, was considered. An FA was performed using the principal component method, with normalized varimax rotation. In hierarchical grouping analysis, the “farthest neighbor” method was used as the hierarchical criterion for grouping, with the measure of dissimilarity given by the “square Euclidean distance.” The FA indicated that two factors explain 75.76% of the total data variance. In the analysis of hierarchical groupings, the samples were agglomerated in three groups with similar characteristics: one with samples collected in an area of the preserved forest and two with samples collected in areas with more anthropized soils. This indicates that the statistical tool used showed sensitivity to distinguish the most conserved soils and soils with different levels of anthropization.

OPPORTUNITIES FOR THE DEVELOPMENT OF BEER TOURISM IN UKRAINE

2021 ◽  
Vol 296 (4) ◽  
pp. 121-131
Author(s):  
MARIYA LUSHCHYK ◽  
Keyword(s):  
Main Product ◽  
Beer Industry ◽  
Current State ◽  
State Budgets ◽  
Organizational Work ◽  
Effective Policy ◽  
Beer Tourism ◽  
Main Components ◽  
Opinion Polls

The article describes the current state of development of beer tourism in Ukraine. In particular, the theoretical aspects of the development of beer tourism are studied: the ambiguity of approaches to the interpretation of the concept of beer tourism is pointed out; the subspecies of beer tourism are singled out and the main components of the beer tour are indicated in terms of their difference from other types of tours. The main variants of classifications of types of beer as the main product of beer tourism on the following signs are described: according to GOST 29018−91; GOST 3473-78, depending on the mass fraction of dry matter in the initial wort and the method of fermentation (the so-called international classification of beer). According to opinion polls, the key parameters of a typical portrait of the average beer consumer, and, consequently, a potential customer of a beer tour are given − gender, age, place of residence, consumer wealth, volume and location of consumption, preferences on type, price and packaging of beer. The economic indicators of the beer industry in Ukraine in the last decade are characterized: the causes and consequences of the beer crisis in Ukraine in 2013-2014, the activities and portfolios of beer brands of key players in the beer market of Ukraine − corporations SUN InBev Ukraine, Carlsberg Ukraine (Carlsberg Ukraine), Oasis CIS («First Private Brewery») and Obolon. The possibilities of craft brewing in Ukraine are analyzed, a brief description of the key craft breweries of Ukraine (VARVAR, PRAVDA Beer Theater, Collider, Tsypa Brewery, Bierwille, White Rabbit, Andrii’s Craft Brewery, K&F Brewery) is given. The information on top locations of beer tourism by regions and the main beer festivals and events of the country is systematized. Problems and perspective directions of development of domestic beer tourism are defined. It was found that the scale of beer tours in Ukraine is not well studied, however, with proper organizational work, beer tourism and, accordingly, beer tours in the country can significantly replenish the amount of tax revenues to local and state budgets, which will lead to effective policy and business revival. activity that will affect the national economy.

Evaluation of graphical and multivariate statistical methods for classification of water chemistry data

2002 ◽  
Vol 10 (4) ◽  
pp. 455-474 ◽  
Author(s):  
Cüneyt Güler ◽  
Geoffrey D. Thyne ◽  
John E. McCray ◽  
Keith A. Turner
Keyword(s):  
Water Chemistry ◽  
Statistical Methods ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Chemistry Data

scholarly journals PHOSPHORUS FERTILIZATION AND HARVEST INTERVALS INFLUENCE ENERGETIC AND PHYSICAL PROPERTIES OF BRIQUETTES AND LARGE BRANCHES OF MATE

2017 ◽  
Vol 41 (1) ◽  
Author(s):  
Delmar Santin ◽  
Marcelino Breguez Gonçalves Sobrinho ◽  
Angélica de Cássia Oliveira Carneiro ◽  
Eliziane Luiza Benedetti ◽  
Nairam Félix de Barros
Keyword(s):  
Physical Properties ◽  
Basic Density ◽  
Calorific Value ◽  
Average Diameter ◽  
Plant Residue ◽  
Phosphorus Fertilization ◽  
P Availability ◽  
Gross Calorific Value ◽  
Energetic Properties ◽  
Harvest Intervals

ABSTRACT In mate crop, the commercial part consists of leaves and thin branches, while the large branches (LB) are considered unused residues and left in the field, although they may have potential for use as energy. The objective of this paper was to evaluate the influence of phosphorus fertilization and harvest interval in productivity of mate large branches and in their physical and energetic properties, as well as in derived briquettes. In a seven-year-old plantation, doses of 0, 20, 40, 80, 160 and 320 kg.ha-1 of P2O5 were applied considering harvest intervals of 12, 18 and 24 months. Dry mass, average diameter, P content, and physical and energetic properties of LB were determined. With LB, after its transformation into particles and briquetting, physical and energetic properties were determined, as well as P availability in soil. The phosphorus fertilization increased LB productivity in larger harvest intervals, increasing the amount of energy produced per unit of area, but did not change basic density and gross calorific value of wood. Mate harvest intervals did not affect the apparent density and calorific value of briquettes produced by LB. LB harvested at intervals of 18 and 24 months produced wood with higher basic density and gross calorific value. LB or briquettes have adequate energetic and physical properties, being technically a plant residue with great potential for use as energy.

scholarly journals Color variability and relationship with basic density and extractive content of Calycophyllum spruceanum wood

FLORESTA ◽  
2019 ◽  
Vol 49 (4) ◽  
pp. 803 ◽  
Author(s):  
Sandra Bezerra da Silva ◽  
Jaily Kerller Batista de Andrade ◽  
Marina Donária Chaves Arantes ◽  
João Gabriel Missia da Silva ◽  
Victor Fassina Brocco ◽  
...  
Keyword(s):  
Basic Density ◽  
Radial Position ◽  
Extractive Content ◽  
Technical Standards ◽  
Wood Color ◽  
Lack Of Information ◽  
End Use ◽  
Cutting Height

There are reports relating color to extractives, however there is a lack of information about the effect of other characteristics on the colorimetry of wood. Thus, this study aimed to evaluate the longitudinal and radial variability of color and its relationship with the basic density and extractive contents of Calycophyllum spruceanum wood from a six-year-old plantation located in Rio Branco, Acre, Brazil. The determination and assessment of the wood color were carried out by the Commission Internationale de L’Éclairage - CIE-L*a*b* system. The basic density and extractive contents were determined according to current technical standards. The species wood color was classified as yellowish olive. The highest and lowest lightness (L*) were longitudinally observed in the base (cutting height) and diameter at breast height (DBH), taken at 1.30 m from the ground. In relation to radial position, the lightness (L*) was lower in peripheral regions of the trunk. Higher concentrations of redness (a*) and yellowness (b*) and saturation (C) occurred along the DBH and the external radial position. In evaluating age, the extractive contents were not correlated to the wood color, while the basic density was correlated with a*, b*, C and h* colorimetric parameters. The colorimetric characterization of this specie contributes to its proper identification and a more homogeneous classification of lumber, and can be used from the log break-down (sawing) to its end use, adding commercial value to the wood.

scholarly journals MATHEMATICAL MODELLING OF THE UNMANNED AERIAL VEHICLE DYNAMICS

2018 ◽  
pp. 37-44
Author(s):  
V. Y. Stepanov
Keyword(s):  
Mathematical Model ◽  
Mathematical Modelling ◽  
Unmanned Aerial Vehicle ◽  
Vehicle Dynamics ◽  
Point Of View ◽  
Dynamics Analysis ◽  
Aerial Vehicle ◽  
Main Components ◽  
Controlled Object

The article gives a classification of the main components of unmanned aerial vehicle (UAV) systems, gives the areas in which the application of UAVs is actual in practice today. Further, the UAV is considered in more detail from the point of view of its flight dynamics analysis, the equation necessary for creating a mathematical model, as well as the model of an ordinary dynamic system as a non-stationary nonlinear controlled object, is given. Next, a description of the developed software for modeling and a description of program algorithm are given. Finally, a conclusion describes the necessary directions for further scientific researches.

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