scholarly journals Morphological analysis of mosaic shapes with directed relationships based on attribute and relational model representations

2021 ◽  
Vol 5 (45) ◽  
pp. 756-766
Author(s):  
Yu.V. Vizilter ◽  
O.V. Vygolov ◽  
S.Yu. Zheltov
Keyword(s):  
Morphological Analysis ◽  
Similarity Measures ◽  
Relational Model ◽  
Second Step ◽  
Relational Models ◽  
Morphological Operators ◽  
Constructive Methods ◽  
Mosaic Image ◽  
Relational Domains ◽  
Image Models

We introduce attribute and relational representations of mosaic image models with directed relationships between regions. Attribute representations of asymmetric relational models based on stacking, ranking and integral descriptions are considered. We propose some morphological shape similarity measures based on relational models. We show that using the same oriented relational model, various morphological operators can be constructed, in particular, of Serra- or Pyt’ev type. Some constructive methods for the design of such morphological operators in an attribute and relational domains are proposed. From this consideration we also extract a new morophlogical scheme for two-stage mutual adaptive image-and-shape joint filtering: at the first step, the shape is simplified (projected) with regard to the image to be projected, and at the second step, the image is simplified (projected) with regard to the simplified (projected) shape.

MORPHOLOGICAL IMAGE ANALYSIS BASED ON ATTRIBUTE AND RELATIONAL REPRESENTATIONS OF MOSAIC IMAGE MODELS

2021 ◽  
pp. 19-28
Author(s):  
Yu. V. Vizilter ◽  
O. V. Vygolov ◽  
S. Yu. Zheltov ◽  
A. V. Morzhin
Keyword(s):  
Image Analysis ◽  
Morphological Analysis ◽  
Image Model ◽  
Morphological Operators ◽  
Mosaic Image ◽  
Morphological Image Analysis ◽  
Morphological Operator ◽  
Image Models ◽  
Morphological Image ◽  
Functional Attribute

A unified scheme for morphological analysis based on attribute and relational representations of mosaic image models is proposed. We consider 4 main types of model representation: functional-attribute (2D feature map), functional-relational (4D relational map), structure-resource-attribute (an area list with resources and attributes), and structure-resource-relational (a graph, which nodes correspond to regions and edges – to relations and both having resource attributes). In this case, the forms of representation of the model are equivalent to each other, in the sense that they contain the same information, there is a one-to-one correspondence between them, and the formulas for the transition from one representation to another can be written out explicitly. In this scheme, the construction of specific morphological operator for some complete image model presumes the separation of this model into two parts: the guiding (modifying) part, which determines the transformation algorithm, and the guided (modifiable) part to be transformed. These two parts of the model can intersect, therefore cannot be called “variable” and “constant” components. As a basic sample, we consider the halftone Pyt’ev morphology. We explore the specifics of different-sort models, introduce the mutual models and propose different tools for creation of model-based morphological operators. Further, various other morphological systems can be described and explored using the proposed generalized approach.

Modelli di relazioni con i coetanei e adattamento psicosociale in adolescenza: una ricerca cross-nazionale e longitudinale

2009 ◽  
pp. 135-164
Author(s):  
Emanuela Rabaglietti ◽  
Silvia Ciairano
Keyword(s):  
Peer Relationships ◽  
Risk Behaviour ◽  
Relational Model ◽  
Perceived Support ◽  
Risk Behaviours ◽  
Risky Behaviour ◽  
Relational Models ◽  
Network Time ◽  
Depressive Feelings ◽  
Longitudinal Relationships

- The study is aimed at constructing a typology of patterns of peer relationships in Italy and the Netherlands and at investigating the longitudinal relationships with beliefs and expectations about relationships and school, psychological discomfort and antisocial and risky behaviour. 439 adolescents of both gender, aged from 15 to 20 years participated at the study. We described four patterns of 158 peer relationships: Isolated (dimension of network, time spent with friends and support perceived by friends were all low), Deep (only perceived support was high; more frequent among girls in both countries), Superficial (only quantitative aspects were high; more frequent among boys), Integrated (both quantitative and qualitative aspects). We found both stability (higher among Superficial and Integrated) and change (higher among Isolated and Deep). The Isolated showed the lowest beliefs and expectations and involvement in risk behaviours, the Deep and the Superficial showed intermediate levels of both beliefs and risk behaviour, and the Integrated showed the highest levels. We also found a great similarity in the links among relational models, beliefs, psychological discomfort and risk behavior in Italian and Dutch adolescents. However, when adopting the same relational model, the Italians perceived higher sense of alienation and depressive feelings and were more involved in lying and disobedience than the Dutch.

scholarly journals Comparação de Metodologias de Migração de Bancos de Dados Relacionais para Bancos Orientados a Documentos

2020 ◽  
Author(s):  
Vanessa Souza∗ ◽  
Melise Paula ◽  
Tiago Barros
Keyword(s):  
Systems Engineering ◽  
Data Model ◽  
Relational Databases ◽  
Operating Cost ◽  
Relational Model ◽  
Data Migration ◽  
Migration Process ◽  
Relational Models ◽  
Model Migration ◽  
Active Services

Companies have migrated data from relational databases to NoSQLdatabases to improve their business through more active services ata lower operating cost, especially by the adoption of cloud services.This process is called Data Migration and is considered by someauthors one of the biggest challenges in systems engineering today.Although it is advantageous, the process of migrating data fromthe relational model to NoSQL models is not trivial and has led tothe development of different methodologies for this purpose. Theobjective of this work was to analyze and compare three differentmigration methodologies between Relational and NoSQL DocumentOriented databases under the following aspects: algorithminput, method documentation, migration process and generateddocuments. For that, different relational models were empiricallymigrated using such methodologies, allowing the analysis of theevaluated aspects. The results show that there is no consolidatedway to perform the migration and that the method to be chosendepends on the context of the application. So, scenarios that showwhen to use each method are presented. Although not performingcomputational tests, this work provides suggestions and insightsthrough the evaluation of the migration processes under the theoreticalmodels. It expected that the results presented here will helpIT managers decide on the best data model migration methodologyto follow in their actual projects.

scholarly journals Data Mining K-Means Document Clustering using TFIDF and Word Frequency Count

2019 ◽  
Vol 8 (2) ◽  
pp. 2542-2549
Keyword(s):  
Data Mining ◽  
Feature Vector ◽  
Rapid Development ◽  
Document Clustering ◽  
Similarity Measures ◽  
Second Step ◽  
Text Data ◽  
Text Document ◽  
Proposed Model ◽  
Clustering Approach

In the rapid development of www the amount of documents used increases in a rapid speed. This produces huge gigabyte of text document processing. For indexing as well as retrieving the required text document an efficient algorithms produce better performance by achieving good accuracy. The algorithms available in the field of data mining also provide a variety of new innovations regarding data mining. This increases the interest of the researchers to develop many essential models in the field of text data mining. In the proposed model is a two step text document clustering approach by K-Means algorithm. The first step includes Pre_Processing and second step includes clustering process. For Pre-Processing the method performs the tokenization approach. The distinct words are identified and the distinct words frequency of occurrence, TFIDF weights of the occurrences are calculated to form a document feature vector separately. In the clustering phase the feature vector is clustered by performing K-means algorithm by implementing various similarity measures.

Influence of coupling agent on post-consumption polypropylene composites reinforced with malt bagasse fibers

2021 ◽  
pp. 002199832110370
Author(s):  
Daniela Stefani ◽  
Marcos Aurélio Dahlem Júnior ◽  
Edson Luiz Francisquetti ◽  
Fernando da Silva dos Reis ◽  
Cleide Borsoi ◽  
...  
Keyword(s):  
Coupling Agent ◽  
Interfacial Adhesion ◽  
Morphological Analysis ◽  
Thermoplastic Composites ◽  
Second Step ◽  
Mechanical Resistance ◽  
Brewing Industry ◽  
Polypropylene Composites ◽  
Two Stages ◽  
Reinforcing Filler

The aim of this work was to evaluate the influence of the use of coupling agent (CA) on the properties of thermoplastic composites produced from post-consumer polypropylene (rPP) and malt bagasse fibers (MB) of brewing industry. The CA used was maleic anhydride graft polypropylene copolymer (MAgPP). The study was carried out in two stages: in first step the best concentration of MB fibers was verified, where was varied the fiber contents between 0, 10, 20 and 30% (w/w); in the second step, the best MB concentration evaluated was used with different CA concentrations (0, 1, 3, 5 and 7% w/w). Of the three MB concentrations evaluated as reinforcing filler, the sample with a 30% (w/w) ratio presented 44% lower deformation than the others, presenting better mechanical resistance, although it also presented the highest water absorption. Thus, the 30% MB fiber content was chosen for two step, where the results showed that the PP/MB-30 composite treated with 3% (w/w) CA had a modulus of elasticity 10.3% higher than the same composite without CA, corroborating with the morphological analysis, which indicated better interfacial adhesion between composite components when CA was used. The PP/MB-30 composite treated with 1% (w/w) CA showed the highest thermal stability among all samples.

Ideological shift and employees’ relationships: evidence from Ukraine

2017 ◽  
Vol 12 (1) ◽  
pp. 25-45 ◽  
Author(s):  
Yevgen Bogodistov ◽  
Anzhela Lizneva
Keyword(s):  
Relational Model ◽  
Relational Models ◽  
Content Type ◽  
Gender Influence ◽  
Relational Models Theory ◽  
Organizational Levels ◽  
Path Dependent ◽  
And Gender ◽  
History Play ◽  
Ideological Transition

Purpose The purpose of this paper is to investigate the employees’ identities shift in Ukraine based on the relational model theory. The paper concentrates on the role which culture and history play in the use of relational models in firms on different organizational levels. Design/methodology/approach The proposed hypotheses were tested by multivariate analysis of variance and covariance tests with the data from 99 surveys of Ukrainian firms describing 219 intraorganizational relationships. Findings The results showed that culture and history play a significant role for the preference of a certain relational model. Position in the organization and gender influence the choice of the relational model. Research limitations/implications The sample of only Ukrainian employees restricts generalizability of the results. This study applies relational models theory in business domain and provides an alternative explanation of employees’ identities shift due to cultural differences and ideological past. Relational models are investigated on different organizational levels shedding light on models of relationships employees prefer in different settings. Practical implications Managers working in international settings should pay more attention to patterns of relationships in the target country since they are not freely chosen but partially predestined by the cultural background and the historical and ideological past. Relationships in firms are path dependent, whereby employees inherit models from their peers to apply them to their subordinates. Ukrainian female and male employees have different preferences concerning relational models. Originality/value This study is unique in that it applies an anthropological theory to relationships on different organizational levels and tests it in a business domain of a country in an ideological transition.

scholarly journals A Comparison of Implications in Orthomodular Quantum Logic—Morphological Analysis of Quantum Logic

2012 ◽  
Vol 2012 ◽  
pp. 1-8
Author(s):  
Mitsuhiko Fujio
Keyword(s):  
Modal Logic ◽  
Quantum Logic ◽  
Morphological Analysis ◽  
The Other ◽  
Kripke Semantics ◽  
Quantum Logics ◽  
Von Neumann ◽  
Morphological Operators ◽  
Complemented Lattices ◽  
Implication Problem

Morphological operators are generalized to lattices as adjunction pairs (Serra, 1984; Ronse, 1990; Heijmans and Ronse, 1990; Heijmans, 1994). In particular, morphology for set lattices is applied to analyze logics through Kripke semantics (Bloch, 2002; Fujio and Bloch, 2004; Fujio, 2006). For example, a pair of morphological operators as an adjunction gives rise to a temporalization of normal modal logic (Fujio and Bloch, 2004; Fujio, 2006). Also, constructions of models for intuitionistic logic or linear logics can be described in terms of morphological interior and/or closure operators (Fujio and Bloch, 2004). This shows that morphological analysis can be applied to various non-classical logics. On the other hand, quantum logics are algebraically formalized as orhomodular or modular ortho-complemented lattices (Birkhoff and von Neumann, 1936; Maeda, 1980; Chiara and Giuntini, 2002), and shown to allow Kripke semantics (Chiara and Giuntini, 2002). This suggests the possibility of morphological analysis for quantum logics. In this article, to show an efficiency of morphological analysis for quantum logic, we consider the implication problem in quantum logics (Chiara and Giuntini, 2002). We will give a comparison of the 5 polynomial implication connectives available in quantum logics.

scholarly journals A new grey relational model based on discrete Fourier transform and its application on Chinese marine economic

2018 ◽  
Vol 1 (1) ◽  
pp. 79-100 ◽  
Author(s):  
Xuemei Li ◽  
Ya Zhang ◽  
Kedong Yin
Keyword(s):  
Fourier Transform ◽  
Discrete Fourier Transform ◽  
Relational Model ◽  
Relational Models ◽  
Content Type ◽  
Dynamic Correlation ◽  
Model Based ◽  
Cyclical Fluctuation ◽  
Grey Relational ◽  
Time Sequences

Purpose The traditional grey relational models directly describe the behavioural characteristics of the systems based on the sample point connections. Few grey relational models can measure the dynamic periodic fluctuation rules of the objects, and most of these models do not have affinities, which results in instabilities of the relational results because of sequence translation. The paper aims to discuss these issues. Design/methodology/approach Fourier transform functions are used to fit the system behaviour curves, redefine the area difference between the curves and construct a grey relational model based on discrete Fourier transform (DFTGRA). Findings To verify its validity, feasibility and superiority, DFTGRA is applied to research on the correlation between macroeconomic growth and marine economic growth in China coastal areas. It is proved that DFTGRA has the superior properties of affinity, symmetry, uniqueness, etc., and wide applicability. Originality/value DFTGRA can not only be applied to equidistant and equal time sequences but also be adopted for non-equidistant and unequal time sequences. DFTGRA can measure both the global relational degree and the dynamic correlation of the variable cyclical fluctuation between sequences.

scholarly journals Speleonymia Slovenského rudohoria z pohľadu teórie modelovania

2021 ◽  
Vol 28 (2) ◽  
pp. 417-430
Author(s):  
Gabriel Rožai
Keyword(s):  
Structural Model ◽  
Model Analysis ◽  
Relational Model ◽  
Relational Models ◽  
Proposed Model ◽  
Model C ◽  
The Given

The article presents model analysis of non-standardized names of caves and chasms of the Slovenské rudohorie mountains which follows the model analysis of anoikonyms by Jana Pleskalová, as well as the work devoted to modelling of Slovak hydronymy. The model analysis pointed out the dominance of the relational model C which expresses “properties, symptoms (and circumstances)” and the relational model A which is associated with the expression of “position, the location of underground object in the field”. The most common structural model in the given relational models is the two-member ADd+S, consisting of a derivative adjective and a noun such as Jelšavská jaskyňa, Gajdova štôlňa. Relational models (VM) referring to possessivity (VM D), especially to the immediate expression of the type of object (VM B), only have a marginal position in the proposed model analysis.

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