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PT Telekomunikasi Indonesia International or Telkom International, and commonly abbreviated as Telin, is an Indonesian carrier services and investment company and is a wholly owned subsidiary of Telkom Indonesia. It is an international telecommunication business serves as Telkom's business arms in managing and developing its business lines outside of Indonesia. Wikipedia.


Singapore, 26 May 2016 Telin Singapore is pleased to announce that the company has obtained the Uptime Institute Tier-IV Certification of Design for its third Data Centre branded Telin-3, located at the Singapore Data Centre Park. With this certification, this multi-tier Data Centre will comply with the stringent risks, safety and data security guidelines as required by the financial institutions, government and other industry verticals ...


Telin | Entity website

Copyright 2016 Telekomunikasi Indonesia International. All Rights Reserved


Telin | Entity website

Careertelin2015-08-12T16:26:40+00:00 Be Part of Telin Family! Join the Telin Singapore Family and be part of the pioneer team to spearhead the international expansion of Indonesias largest telecom service provider Telkom Group. In line with Telkoms vision to become the leading Telecommunication, Information, Media, Edutainment and Services (TIMES) player in the region, Telin Singapore, as a first overseas and 100% subsidiary, serves as an important hub for Telkoms expansion plan in Singapore and the region ...


Bai F.,Telin | Pizurica A.,Telin | Franchois A.,Ghent University | Philips W.,Telin
2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings | Year: 2013

In this paper we give new insights into quantitative microwave tomography with robust Huber regularizer and Gauss-Newton optimization. Firstly, we validate this approach for the first time on real electromagnetic measurements. Secondly, we extend the framework with a modified Huber function, which behaves like TV regularization. This is interesting for reconstructing piece-wise constant permittivities that appear in non-destructive testing of installations and other man-made objects. © 2013 IEEE. Source


Frias-Velazquez A.,Telin | Ortiz C.,DICIS U. de Guanajuato | Pizurica A.,Telin | Philips W.,Telin | Cerda G.,DICIS U. de Guanajuato
Proceedings - International Conference on Image Processing, ICIP | Year: 2012

In this paper we present an efficient way to both compute and extract salient information from trace transform signatures to perform object identification tasks. We also present a feature selection analysis of the classical trace-transform functionals, which reveals that most of them retrieve redundant information causing misleading similarity measurements. In order to overcome this problem, we propose a set of functionals based on Laguerre polynomials that return orthonormal signatures between these functionals. In this way, each signature provides salient and non-correlated information that contributes to the description of an image object. The proposed functionals were tested considering a vehicle identification problem, outperforming the classical trace transform functionals in terms of computational complexity and identification rate. © 2012 IEEE. Source

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