Concept-Based Automatic Amharic Document Categorization

Along with the continuously growing volume of information resources, there is a growing interest toward better solutions for finding, filtering and organizing these resources. Automatic text categorization can play an important role in a wide variety of flexible, dynamic, and personalized information management tasks. The aim of this research work is to make use of concepts as a way of improving the categorization process for Amharic1 documents. In recent years, ontology-based document categorization method is introduced to solve the problem of document classification. Previous works on keyword-based document categorization miss some important issues of considering semantic relationships between words. In order to resolve the existing problems, this research proposed a framework that automatically categorizes Amharic documents into predefined categories using concepts. The research shows that the use of concepts for an Amharic document categorizer results in 92.9% accuracy

Video adaptation using the Variation Factory

Abstract-Video adaptation is an active research area aiming at delivering heterogeneous content to yet heterogeneous devices under different network conditions. This paper presents an architecture for generating variations (different versions) from an MPEG-4 source video to be used during adaptation. Different products are defined and the Variation Factory is introduced. It generates different versions of the source and an MPEG-7 metadata document. The information contained in the metadata document helps the system to identify the most appropriate version that meets the required Quality of Service (QoS). In addition to the implementation of the commonly used reduction methods, two novel methods, viz. object-based and segmentbased variations are introduced. Our proposals are implemented and experimentally validated

Mobility-Aware Proactive Edge Caching Optimization Scheme in Information-Centric IoV Networks

Edge caching is a promising approach to alleviate the burden on the backhaul of network links. It has a significant role in the Internet of Vehicle (IoV) networks performance by providing cached data at the edge and reduce the burden of the core network caused by the number of participating vehicles and data volume. However, due to the limited computing and storage capabilities of edge devices, it is hard to guarantee that all contents are cached and every requirement of the device are satisfied for all users. In this paper, we design an Information-Centric Network (ICN) with mobility-aware proactive caching scheme to provide delay-sensitive services on IoV networks. The real-time status and interaction of vehicles with other vehicles and Roadside Units (RSU) is modeled using a Markov process. Mobility aware proactive edge caching decision that maximize network performance while minimizing transmission delay is applied. Our numerical simulation results show that the proposed scheme outperforms related caching schemes in terms of latency by 20–25% in terms of latency and by 15–23% in cache hits

Virtualizing Home Gateways for Large Scale Energy Reduction in Wireline Networks

International audienceAbout 80-90% of the energy in today's wireline networks is consumed in the access network, with about 10W per user being dissipated mostly by the customer premises equipment (CPE). Home gateway is a popular equipment deployed at the end of networks and supporting a set of heterogeneous services (from network to multimedia services). These gateways are difficult to manage for network operators and consume a lot of energy. This paper explores the possibility to reduce the complexity of such equipment by moving services to some external dedicated and shared facilities. This paper will present first result towards virtualizing home gateway services towards some specific part of the network. When combined to quasi passive CPE, this approach can reduce the energy consumption of wired networks infrastructures. This research is done within the GreenTouch initiative which aims to increase network energy efficiency by a factor of 1000 from current levels by 2015 (http://www.greentouch.org)