Research on WebGIS-Based Sport Games Information System

2014 ◽  
Vol 926-930 ◽  
pp. 2726-2729
Author(s):  
Heng Li

The organization and management of the sports tournament relate to the sports competition area of mission in each aspect. Taking the competition as a core, it is essential to establish sports tournament information system with the personnel registration, result processing, the audience services ,the competition information and data sharing etc. In this paper ,GIS-Based Sports Tournament Information System plays an important role in Digital Sport construction. This system is under the support of the geographic information system, network system, communication system and the database system. So it can provide the multi-source and multi-level data and information for the organization and management sections of the sports and games. The successful construction and realization of the system can enhance the sports tournament organization and management efficiency.

2014 ◽  
Vol 989-994 ◽  
pp. 4643-4649
Author(s):  
Xiao Yang Yan ◽  
Zhi Peng Lin ◽  
Xing Ming Zhang ◽  
Wen Chao Yang

The Alfresco development tool, which includes Apache Tomcat, MySQL and WebService, is an open platform for building a functional database system in a Java website. In order to improve the enterprises’ management efficiency in specialized industrial townships, a micro-information system based on Alfresco development tool has been proposed. In the construction of the micro-information system, Alfresco database exhibits great superiority in network database architecture, data query with Lucene search engine, data management and data security. In this paper, the general design ideas, functions, key technologies and realization methods of the Alfresco database are introduced.


2014 ◽  
Vol 9 (1) ◽  
pp. 17 ◽  
Author(s):  
Natapol Pornputtapong ◽  
Kwanjeera Wanichthanarak ◽  
Avlant Nilsson ◽  
Intawat Nookaew ◽  
Jens Nielsen

1989 ◽  
Vol 14 (5) ◽  
pp. 393-406 ◽  
Author(s):  
Siegfried Treu ◽  
Paul Mullins ◽  
Joel Adams

2008 ◽  
Vol 14 (4) ◽  
pp. 949-959 ◽  
Author(s):  
Nelli Westercamp ◽  
Christine L. Mattson ◽  
Michelle Madonia ◽  
Stephen Moses ◽  
Kawango Agot ◽  
...  

2017 ◽  
Vol 141 ◽  
pp. 120-124 ◽  
Author(s):  
Xiao Yu ◽  
Yue Zhao ◽  
Chao Li ◽  
Chaoquan Hu ◽  
Liang Ma ◽  
...  

2021 ◽  
Vol 14 (2) ◽  
pp. 268-277
Author(s):  
Etza nofarita

Security issues of a system are factors that need to be considered in the operation of information systems, which are intended to prevent threats to the system and detect and correct any damage to the system. Distributed Denial of Services (DDOS) is a form of attack carried out by someone, individuals or groups to damage data that can be attacked through a server or malware in the form of packages that damage the network system used. Security is a mandatory thing in a network to avoid damage to the data system or loss of data from bad people or heckers. Packages sent in the form of malware that attacks, causing bandwidth hit continuously. Network security is a factor that must be maintained and considered in an information system. Ddos forms are Ping of Death, flooding, Remote controled attack, UDP flood, and Smurf Attack. The goal is to use DDOS to protect or prevent system threats and improve damaged systems. Computer network security is very important in maintaining the security of data in the form of small data or large data used by the user.


2020 ◽  
Author(s):  
Tingting Zhang ◽  
Yushi Lan ◽  
Aiguo Song ◽  
Kun Liu ◽  
Nan Wang

<p>The network information system is a military information network system with evolution characteristics. Evolution is a process of replacement between disorder and order, chaos and equilibrium. Given that the concept of evolution originates from biological systems, in this article, the evolution of network information architecture is analyzed by genetic algorithms, and the network information architecture is represented by chromosomes. Besides, the genetic algorithm is also applied to find the optimal chromosome in the architecture space. The evolutionary simulation is used to predict the optimal scheme of the network information architecture and provide a reference for system construction.</p><br>


2011 ◽  
Vol 41 (10) ◽  
pp. 2221-2231 ◽  
Author(s):  
N. M. Menezes ◽  
K. Georgiades ◽  
M. H. Boyle

BackgroundMany studies have reported an increased incidence of psychiatric disorder (particularly psychotic disorders) among first generation adult immigrants, along with an increasing risk for ethnic minorities living in low-minority concentration neighborhoods. These studies have depended mostly on European case-based databases. In contrast, North American studies have suggested a lower risk for psychiatric disorder in immigrants, although the effect of neighborhood immigrant concentration has not been studied extensively.MethodUsing multi-level modeling to disaggregate individual from area-level influences, this study examines the influence of first generation immigrant status at the individual level, immigrant concentration at the neighborhood-level and their combined effect on 12-month prevalence of mood, anxiety and substance-dependence disorders and lifetime prevalence of psychotic disorder, among Canadians.ResultsIndividual-level data came from the Canadian Community Health Survey (CCHS) 1.2, a cross-sectional study of psychiatric disorder among Canadians over the age of 15 years; the sample for analysis wasn=35 708. The CCHS data were linked with neighborhood-level data from the Canadian Census 2001 for multi-level logistic regression. Immigrant status was associated with a lower prevalence of psychiatric disorder, with an added protective effect for immigrants living in neighborhoods with higher immigrant concentrations. Immigrant concentration was not associated with elevated prevalence of psychiatric disorder among non-immigrants.ConclusionsThe finding of lower 12-month prevalence of psychiatric disorder in Canadian immigrants, with further lessening as the neighborhood immigrant concentration increases, reflects a model of person–environment fit, highlighting the importance of studying individual risk factors within environmental contexts.


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