Deutsche Telekom

About: Deutsche Telekom is a company organization based out in Welwyn Garden City, United Kingdom. It is known for research contribution in the topics: Telecommunications network & Signal. The organization has 3473 authors who have published 5208 publications receiving 65429 citations. The organization is also known as: DTAG & German Telecom.

Robustness of DPSK direct detection transmission format in standard fibre WDM systems

Abstract: The practicability of using phase modulation in a 16 channel 10 Gbit/s system over 1600 km of standard SMF with simple dispersion compensation and the robustness in presence of ASK modulated channels has been shown for the first time.

A case for P2P infrastructure for social networks - opportunities & challenges

Abstract: Online Social Networks like Facebook, MySpace, Xing, etc. have become extremely popular. Yet they have some limitations that we want to overcome for a next generation of social networks: privacy concerns and requirements of Internet connectivity, both of which are due to web-based applications on a central site whose owner has access to all data. To overcome these limitations, we envision a paradigm shift from client-server to a peer-to-peer infrastructure coupled with encryption so that users keep control of their data and can use the social network also locally, without Internet access. This shift gives rise to many research questions intersecting networking, security, distributed systems and social network analysis, leading to a better understanding of how technology can support social interactions. This paper is an attempt to identify the core functionalities necessary to build social networking applications and services, and the research challenges in realizing them in a decentralized setting. In the tradition of research-path defining papers in the peer-to-peer community [5, 14], we highlight some challenges and opportunities for peer-to-peer in the era of social networks. We also present our own approach at realizing peer-to-peer social networks.

Study of Rating Scales for Subjective Quality Assessment of High-Definition Video

Abstract: With the constant evolution of video technology and the deployment of new video services, content providers and broadcasters always face the challenge of delivering an adequate video quality which meets end-users expectations. The development of reliable quality testing and quality monitoring tools that can be used by broadcasters ultimately requires reliable objective video quality metrics. In turn, the validation of these objective models requires reliable subjective assessment, the most accurate representation of the quality perceived by end-users. Many different subjective assessment methodologies exist, and each has its advantages and drawbacks. One important element in a subjective testing methodology is the choice of the rating scale. In this paper, we make a direct comparison between four scales, which are either included in existing international standards or proposed to be used in future standardization activities related to video quality. We examine the subjective data from the points of view of response behavior from participants, similarity and variability of subjective scores. We discuss these results within the context of the subjective quality assessment of high-definition video compressed and transmitted over error-prone networks. Our experimental data show no overall statistical differences between the different scales. Results also show that the single-stimulus presentation provides highly repeatable results even if different scales or groups of participants are used.

Network operator requirements for the next generation of optical access networks

Abstract: This article describes FSAN operator perspectives on the drivers and system requirements for fiber access beyond 10-Gigabit-class PON systems (i.e., NG-PON2 in FSAN terminology). Additionally, a review of potential solutions in scope for NG-PON2 is given in the context of these operator drivers and requirements.

Comparison of Four Approaches to Age and Gender Recognition for Telephone Applications

Abstract: This paper presents a comparative study of four different approaches to automatic age and gender classification using seven classes on a telephony speech task and also compares the results with human performance on the same data. The automatic approaches compared are based on (1) a parallel phone recognizer, derived from an automatic language identification system; (2) a system using dynamic Bayesian networks to combine several prosodic features; (3) a system based solely on linear prediction analysis; and (4) Gaussian mixture models based on MFCCs for separate recognition of age and gender. On average, the parallel phone recognizer performs as well as Human listeners do, while loosing performance on short utterances. The system based on prosodic features however shows very little dependence on the length of the utterance.