scholarly journals Causes and Prevention of Telecommunication Network Fraud

Author(s):  
Zuhe Huang
2010 ◽  
Vol 69 (10) ◽  
pp. 881-892
Author(s):  
I. S. Zakharov ◽  
Yu. N. Belikov ◽  
A. N. Zbinyakov ◽  
I. Yu. Lysanov ◽  
R. N. Shulgin

2020 ◽  
Vol 26 (2) ◽  
pp. 38-41
Author(s):  
Yu.A. Volkov ◽  
◽  
V.M. Kalmykov ◽  

Author(s):  
Ann Ogbo ◽  
Kifordu Anyibuofu Anthony ◽  
Okagu Kosisochukwu

The study aimed at establishing an assessment of hygiene maintenance factors effects on employees’productivity. The hygiene/maintenance factors play vital role in employees’ productivity. They do not motivate employee in organization, yet they must be present or dissatisfaction will arise. . The study is aimed to pursue the following objectives: To determine the extent to which working conditions improve the performance of employees, to ascertain the effect of interpersonal relations within the organization on firms’ profitability and to assesthe extent to whichcompensation improve the performance of employees.The study was conducted using the survey approach. The geographical scope of the study was Mobile telecommunication network (MTN), located within Enugu metropolis. Two sources of data were utilized in the study: they included primary and secondary sources. The primary source wasthrough the administration of copies of designed questionnaire to a total of forty one respondents that made up the sample size for the study.


2021 ◽  
Vol 1933 (1) ◽  
pp. 012103
Author(s):  
Rahmad Hidayat ◽  
Ferdian Reza ◽  
Herawati ◽  
Salamatul Afiyah ◽  
Ninik Sri Lestari ◽  
...  

2019 ◽  
Vol 53 (3) ◽  
pp. 807-827
Author(s):  
Ali Balma ◽  
Mehdi Mrad

This paper addresses the problem of allocating the terminal nodes to the hub nodes in a telecommunication network. Since the flow processing induces some undesirable delay, the objective is to minimize the total flow processed by the hubs. This study focuses on a real life network of the tunisian operator Tunisie Telecom whose operations managers are concerned by the quality of service. We provide three compact formulations that give optimal solutions for networks of large size. In particular, the last two are obtained by applying the Reformulation-Linearization Technique to a nonlinear formulation of the problem. The latter formulation derived within this approach is the most computationally effective, as pointed out by the computational experiments conducted on the real life network of Tunisie Telecom with 110 nodes and 5 hubs. Finally, we discuss and compare between the single allocation and double allocation configurations.


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