Assuring secure and reliable operation of networks has become a priority research area these days because of ever growing dependency on network technology. Intrusion detection systems (IDS) are used as the last line of defense. Intrusion Detection System identifies patterns of known intrusions (misuse detection) or differentiates anomalous network data from normal data (anomaly detection). In t...

In this paper, we address the problem of machine translation (MT) of domain-specific texts for which large amounts of parallel data for training are not available. We focus on the IT domain and on English to Portuguese machine translation, and compare different strategies for improving system performance over two baselines, the first using only large dataset of out-of-domain data, and the secon...

This paper presents a hybrid machine translation framework based on a preprocessor that translates fragments of the input text by using example-based machine translation techniques. The preprocessor resembles a translation memory with named-entity and chunk generalization, and generates a high quality partial translation that is then completed by the main translation engine, which can be either...

Significant breakthroughs in machine translation only seem possible if human translators are taken into the loop. While automatic evaluation and scoring mechanisms such as BLEU have enabled the fast development of systems, it is not clear how systems can meet real-world (quality) requirements in industrial translation scenarios today. The TARAXŰ project paves the way for wide usage of hybrid ma...

Modern speech synthesis systems attempt to produce speech utterances from an open domain of words. In some situations, the synthesiser will not have the appropriate units to pronounce some words or phrases accurately but it still must attempt to pronounce them. This paper presents a hybrid machine translation and unit selection speech synthesis system. The machine translation system was trained...

We describe our hybrid machine translation system which has been developed for and used in the WMT10 shared task. We compute translations from a rulebased MT system and combine the resulting translation “templates” with partial phrases from a state-of-the-art phrasebased, statistical MT engine. Phrase substitution is guided by several decision factors, a continuation of previous work within our...

forecasting of municipal waste generation is a critical challenge for decision making and planning,because proper planning and operation of a solid waste management system is intensively affected by municipal solid waste (msw) streams analysis and accurate predictions of solid waste quantities generated. due to dynamic and complexity of solid waste management system, models by artificial intell...

Introduction: Due to undeniable effect of surface treatment on restoration bond strength, this study was conducted to measure and compare the shear bond strength of hybrid ionomer and compomer using the three different methods of surface conditioning. Methods: In this in vitro experimental study, 72 samples were prepared from hybrid ionomer (Vitremer-3M) and compomer (Compoglass-Vivadent) re...

Recently, there has been a fast growth in research and investigation in the natural fibre composite due to the advantages of these materials, such us low environmental impact, low cost and good mechanical properties compared to synthetic fibre composites. Much effort has gone into increasing the mechanical performance and applications of natural fibes. This paper examines the mechanical propert...

Locomotion of an animal is generated through interactions among the nervous system, the musculo-skeletal system and the environment. We particularly focus on biomachine hybrid systems in order to understand dynamics of these interactions. We can modify balances of the interactions by bio-machine hybrid systems. In this study, we intend to deal with a frog cyborg driven by biological muscles.