scholarly journals The seven parameters of media clusters: An integrated approach for local cluster analysis

2016 ◽  
Vol 12 (2) ◽  
pp. 171-191 ◽  
Author(s):  
Marlen Komorowski
Keyword(s):  
Cluster Analysis ◽  
Integrated Approach ◽  
Local Cluster

scholarly journals An Integrated Approach to Product Delivery Planning and Scheduling

2011 ◽  
Vol 45 (1) ◽  
pp. 97-103 ◽  
Author(s):  
Galina Merkuryeva ◽  
Vitaly Bolshakov ◽  
Maksims Kornevs
Keyword(s):  
Cluster Analysis ◽  
Clustering Algorithm ◽  
Expert Knowledge ◽  
Real Life ◽  
Integrated Approach ◽  
Classification Model ◽  
Performance Criteria ◽  
Planning And Scheduling ◽  
Delivery Planning ◽  
Product Delivery

An Integrated Approach to Product Delivery Planning and SchedulingProduct delivery planning and scheduling is a task of high priority in transport logistics. In distribution centres this task is related to deliveries of various types of goods in predefined time windows. In real-life applications the problem has different stochastic performance criteria and conditions. Optimisation of schedules itself is time consuming and requires an expert knowledge. In this paper an integrated approach to product delivery planning and scheduling is proposed. It is based on a cluster analysis of demand data of stores to identify typical dynamic demand patterns and product delivery tactical plans, and simulation optimisation to find optimal parameters of transportation or vehicle schedules. Here, a cluster analysis of the demand data by using the K-means clustering algorithm and silhouette plots mean values is performed, and an NBTree-based classification model is built. In order to find an optimal grouping of stores into regions based on their geographical locations and the total demand uniformly distributed over regions, a multiobjective optimisation problem is formulated and solved with the NSGA II algorithm.

scholarly journals Analysis of the sustainability level of the natural-territorial complex of the city of Tyumen

2020 ◽  
Vol 164 ◽  
pp. 04011
Author(s):  
Marina Podkovyrova ◽  
Anatoliy Oleynik ◽  
Olga Volobueva ◽  
Anastasia Larionova
Keyword(s):  
Cluster Analysis ◽  
Anthropogenic Impact ◽  
Integrated Approach ◽  
Economic Systems ◽  
Analysis Method ◽  
Natural Systems ◽  
Hierarchy Analysis ◽  
Sociocultural Research ◽  
Anthropogenic Risks ◽  
The City

In this article, the authors present the results of the analysis of the key components of the natural-territorial complex (NTC) of the city, or the territory, natural, and natural-economic systems of the city. Under the conditions of urban development of the territory, the natural-territorial complex of the city undergoes anthropogenic impact, existing natural systems are modified, internal interconnections are broken, new ones are being formed for the purpose, content and functioning of natural-economic systems, and natural and anthropogenic risks can be manifested. The current conflict between natural and anthropogenic subsystems requires a comprehensive and integrated approach to their assessment [1, 2, 3, 4, 5, 6, 7]. The authors proposed a methodology according to which the level of sustainability of the natural-territorial complex of the city of Tyumen in terms of its urbanization is determined. The methodology includes a hierarchy analysis method, a comprehensive assessment, cluster analysis, sociocultural research, a cartographic method, and a modeling method [5, 8, 9, 10, 11]. The analysis includes ten planning areas (districts) of the city: Bereznyakovsky (1), Tarmansky (2), Parfenovsky (3), Zatyumensky (4), Zarechny (5), Central (6), Gilevsky (7), Verkhneborsky (13), Mysovsky (14), Novoroshchinsky (15). The assessment is presented in more detail on the example of two districts – Central and Zarechny (Fig. 2).

scholarly journals DIFFERENTIATION OF MAIZE LINES WITH HIGH CONTENT OF CAROTENOIDS USING PROTEIN AND DNA MARKERS

AGROFOR ◽  
2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Larysa PRYSIAZHNIUK ◽  
Yurii HONCHAROV ◽  
Yuliia SHYTIKOVA ◽  
Oksana TOPCHII ◽  
Snizhana OTROSHKO
Keyword(s):  
Cluster Analysis ◽  
Vitamin A ◽  
Genetic Distance ◽  
Ssr Markers ◽  
Dna Markers ◽  
Vitamin A Deficiency ◽  
Integrated Approach ◽  
Genetic Distances ◽  
Mantel Test ◽  
Electrophoretic Spectra

Wide natural variety of carotenoids, including vitamin A precursors, is characteristic of maize (Zea mays L.), which allows using it to combat vitamin A deficiency in the world. Previous studies have established the effectiveness of the use of functional DNA markers in the selection of maize lines with a high content of carotenoids in grain. However, not only improving grain quality but also creating highly productive hybrids competitive on the grain market is currently important. The purpose of our study was to determine the genetic diversity of maize lines using storage protein and DNA markers, as well as to find correlations of two marker systems with FAO characteristics. On the basis of maize lines selected for high content of carotenoids, the allelic state of six SSR markers (phi022, phi034, phi062, phi073, phi079, phi085), electrophoretic spectra of zein and their electrophoretic mobility have been determined. Cluster analysis of maize lines using electrophoretic spectra of zein yielded eight clusters. It was found that the minimum genetic distance was 4.24 and the maximum 7.48 Cluster analysis by the identified alleles for SSR markers allowed to form seven clusters according to the affinity of the lines. Range of changes in genetic distances was from 1.00. to 3.46 The analysis of genetic distance matrices, using the Mantel test, found a correlation between the marker systems under study (r = 0.184). A correlation between the studied marker systems and their relation to FAO characteristics was established. Therefore, in order to increase selection efficiency of maize, it is advisable to use an integrated approach to the evaluation of breeding genotypes involving protein and DNA markers.

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