scholarly journals The Transfer Cost of Parenthood in Europe

2020 ◽  
Author(s):  
Robert I. Gal ◽  
Marton Medgyesi ◽  
Pieter Vanhuysse
Keyword(s):  
Transfer Cost

EXERGOECONOMIC ANALYSIS ON ENHANCED HEAT TRANSFER SURFACES AT LOW TEMPERATURE

2007 ◽  
Vol 21 (18n19) ◽  
pp. 3500-3502
Author(s):  
DENG-FANG RUAN ◽  
YOU-RONG LI ◽  
SHUANG-YING WU ◽  
BO LAN
Keyword(s):  
Heat Transfer ◽  
Performance Evaluation ◽  
Low Temperature ◽  
Evaluation Criteria ◽  
Enhanced Heat Transfer ◽  
Second Law Analysis ◽  
Augmentation Techniques ◽  
Transfer Cost ◽  
Exergoeconomic Analysis ◽  
New Criterion

The exergoeconomic analysis is carried out on enhanced heat transfer surfaces at low temperature. A new criterion for evaluating the performance of enhanced heat transfer surfaces at low temperature is proposed. It can be applied to various augmentation techniques and generalizes the performance evaluation criteria obtained by means of the first and second law analysis. The validity of the new performance evaluation criterion is illustrated by the analysis of heat transfer characteristics at low temperature and assessment of the heat transfer cost of two types of enhanced heat transfer surfaces.

scholarly journals DynDL: Scheduling Data-Locality-Aware Tasks with Dynamic Data Transfer Cost for Multicore-Server-Based Big Data Clusters

2018 ◽  
Vol 8 (11) ◽  
pp. 2216
Author(s):  
Jiahui Jin ◽  
Qi An ◽  
Wei Zhou ◽  
Jiakai Tang ◽  
Runqun Xiong
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Processing Time ◽  
Data Transfer ◽  
Data Locality ◽  
Free Time ◽  
Time Data ◽  
Dynamic Data ◽  
Network Bandwidth ◽  
Transfer Cost

Network bandwidth is a scarce resource in big data environments, so data locality is a fundamental problem for data-parallel frameworks such as Hadoop and Spark. This problem is exacerbated in multicore server-based clusters, where multiple tasks running on the same server compete for the server’s network bandwidth. Existing approaches solve this problem by scheduling computational tasks near the input data and considering the server’s free time, data placements, and data transfer costs. However, such approaches usually set identical values for data transfer costs, even though a multicore server’s data transfer cost increases with the number of data-remote tasks. Eventually, this hampers data-processing time, by minimizing it ineffectively. As a solution, we propose DynDL (Dynamic Data Locality), a novel data-locality-aware task-scheduling model that handles dynamic data transfer costs for multicore servers. DynDL offers greater flexibility than existing approaches by using a set of non-decreasing functions to evaluate dynamic data transfer costs. We also propose online and offline algorithms (based on DynDL) that minimize data-processing time and adaptively adjust data locality. Although DynDL is NP-complete (nondeterministic polynomial-complete), we prove that the offline algorithm runs in quadratic time and generates optimal results for DynDL’s specific uses. Using a series of simulations and real-world executions, we show that our algorithms are 30% better than algorithms that do not consider dynamic data transfer costs in terms of data-processing time. Moreover, they can adaptively adjust data localities based on the server’s free time, data placement, and network bandwidth, and schedule tens of thousands of tasks within subseconds or seconds.

scholarly journals INDICATORS OF FINANCIAL SUPPORT FOR FOOTBALL PLAYERS’ MIGRATION IN LEADING EUROPEAN LEAGUES

2021 ◽  
Vol 5 (1) ◽  
pp. 137-148
Author(s):  
Eduard Sobol ◽  
Andrii Svatyev ◽  
Eduard Doroshenko
Keyword(s):  
Financial Support ◽  
Football Players ◽  
Financial Activity ◽  
Premier League ◽  
Financial Fair Play ◽  
Football Clubs ◽  
Transfer Cost ◽  
European Football ◽  
Increasing Trends ◽  
Generalization Of Data

Introduction. Modern football is characterized by increasing trends in migration and transfer activity in the leading European football leagues and a decrease in the number of students of their own children's and youth academies of the leading football clubs of the European Championships for the period 2009-2019. The aim of the study is to investigate and determine the level of financial support for the migration of qualified players in leading European clubs on the basis of their transfer activities (according to open sources). Material and methods: analysis and generalization of data of scientific and methodical literature sources and the Internet, pedagogical observations, content analysis of materials of official websites of football clubs, UEFA and FIFA, methods of mathematical statistics. Results. In the «TOP-20» ranking of leading European football clubs at the end of 2019 in terms of total transfer costs, which determine the migration of qualified players, there is the following distribution: «Barclays Premier League» (England) – 8 football clubs (40%) with transfer costs € 4,726 million (43,40%); «Liga de Futbol Profesional, Primera Division» (Spain) – 4 football clubs (20%) with transfer costs of 2415 million € (22,17%); «Lega Nazionale Professionisti Serie A TIM» (Italy) – 4 football clubs (20%) with transfer costs of € 1,816 million (16,67%); «Le championnat de France de football» (France) – 2 football clubs (10%) with transfer costs of 1261 million € (11,58%); «Fußball-Bundesliga» (Germany) – 2 football clubs (10%) with a transfer cost of € 673 million (6,18%). Conclusions. Analysis of the structure of profits «TOP-20» ranking of leading European clubs, shows that the average is: about 44% – the sale of rights to telecast competitions, about 40% – advertising revenue and about 16% is the share of revenue from tickets and season tickets. Indicators of financial activity of leading European football clubs are monitored by UEFA and FIFA programs for compliance with the requirements and criteria of financial «Fair Play».

scholarly journals REGION SPECIFIC WAVELET COMPRESSION FOR 4K SURVEILLANCE IMAGES

2017 ◽  
Vol 10 (13) ◽  
pp. 247
Author(s):  
Ankush Rai ◽  
Jagadeesh Kannan R
Keyword(s):  
Image Compression ◽  
Information Flow ◽  
Information Transfer ◽  
Data Transfer ◽  
Image Sequences ◽  
Successful Transmission ◽  
Specific Approach ◽  
Time Compression ◽  
High Bandwidth ◽  
Transfer Cost

For successful transmission of massively sequenced images during 4K surveillance operations large amount of data transfer cost high bandwidth, latency and delay of information transfer. Thus, there lies a need for real-time compression of this image sequences. In this study we present a region specific approach for wavelet based image compression to enable management of huge chunks of information flow by transforming Harr wavelets in hierarchical order.   

Dynamic Dependent Tasks Assignment for Grid Computing

2011 ◽  
Vol 3 (2) ◽  
pp. 44-58 ◽  
Author(s):  
Meriem Meddeber ◽  
Belabbas Yagoubi
Keyword(s):  
Resource Management ◽  
Grid Computing ◽  
Large Scale ◽  
Task Assignment ◽  
Considerable Effect ◽  
Distributed Applications ◽  
Grid Middleware ◽  
Assignment Strategy ◽  
Transfer Cost ◽  
Dependent Tasks

A computational grid is a widespread computing environment that provides huge computational power for large-scale distributed applications. One of the most important issues in such an environment is resource management. Task assignment as a part of resource management has a considerable effect on the grid middleware performance. In grid computing, task execution time is dependent on the machine to which it is assigned, and task precedence constraints are represented by a directed acyclic graph. This paper proposes a hybrid assignment strategy of dependent tasks in Grids which integrate static and dynamic assignment technologies. Grid computing is considered a set of clusters formed by a set of computing elements and a cluster manager. The main objective is to arrive at a method of task assignment that could achieve minimum response time and reduce the transfer cost, inducing by the tasks transfer respecting the dependency constraints.

Modeling and Computing Overlapping Aggregation of Large Data Sequences in Geographic Information Systems

2019 ◽  
Vol 10 (1) ◽  
pp. 20-41
Author(s):  
Driss En-Nejjary ◽  
Francois Pinet ◽  
Myoung-Ah Kang
Keyword(s):  
Information Systems ◽  
Data Transfer ◽  
Graphics Processing Unit ◽  
Large Data ◽  
General Purpose ◽  
Environmental Data ◽  
Acquisition Time ◽  
Processing Unit ◽  
Sequential Method ◽  
Transfer Cost

Recently, in the field of information systems, the acquisition of geo-referenced data has made a huge leap forward in terms of technology. There is a real issue in terms of the data processing optimization, and different research works have been proposed to analyze large geo-referenced datasets based on multi-core approaches. In this article, different methods based on general-purpose logic on graphics processing unit (GPGPU) are modelled and compared to parallelize overlapping aggregations of raster sequences. Our methods are tested on a sequence of rasters representing the evolution of temperature over time for the same region. Each raster corresponds to a different data acquisition time period, and each raster geo-referenced cell is associated with a temperature value. This article proposes optimized methods to calculate the average temperature for the region for all the possible raster subsequences of a determined length, i.e., to calculate overlapping aggregated data summaries. In these aggregations, the same subsets of values are aggregated several times. For example, this type of aggregation can be useful in different environmental data analyses, e.g., to pre-calculate all the average temperatures in a database. The present article highlights a significant increase in performance and shows that the use of GPGPU parallel processing enabled us to run the aggregations up to more than 50 times faster than the sequential method including data transfer cost and more than 200 times faster without data transfer cost.

Study on Rural Labor Transfer in Resource-Abundant Region - A Case Study on Four Counties in the Northern Shaanxi

2013 ◽  
Vol 869-870 ◽  
pp. 1106-1111
Author(s):  
Er Kui Zhao ◽  
Li Yan Chen
Keyword(s):  
Labor Force ◽  
Service Industry ◽  
Rural Labor ◽  
Vocational Technical Education ◽  
Force Transfer ◽  
Northern Shaanxi ◽  
Labor Transfer ◽  
Transfer Cost ◽  
Labor Force Transfer

Owning to the restrictions from the lack of professional skills and objective factors, rural labor force in resource-abundant region mainly transfers to the local industries with low demands on employment, such as the energy industry and service industry. According to the empirical study, the transfer of rural labor force in resource-abundant region is mainly influenced by such factors as the wage income, transfer cost, educational level and professional skill, and in order to solve the problems concerning rural labor transfer, it can promote the labor force transfer properly through perfecting the labor market, establishing comprehensive community, strengthening the vocational-technical education and developing new industries.

Transfer cost and the developmental path to target object clitic prosody

2019 ◽  
Vol 9 (6) ◽  
pp. 849-853
Author(s):  
Julia Herschensohn ◽  
Randall Gess
Keyword(s):  
Target Object ◽  
Transfer Cost
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