10,434 research outputs found

    MaTrEx: the DCU machine translation system for IWSLT 2007

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    In this paper, we give a description of the machine translation system developed at DCU that was used for our second participation in the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT 2007). In this participation, we focus on some new methods to improve system quality. Specifically, we try our word packing technique for different language pairs, we smooth our translation tables with out-of-domain word translations for the Arabic–English and Chinese–English tasks in order to solve the high number of out of vocabulary items, and finally we deploy a translation-based model for case and punctuation restoration

    Are the demographics for squamous cell cancer in the head and neck changing in the United Kingdom?

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    Head and neck squamous cell carcinoma is well known to be more common in men than women. Smoking and alcohol are the key risk factors causing such malignancies and there are several publications which have suggested that the prevalence of these diseases is increasing more in women than in men in western countries due to increased smoking and alcohol use.We collected our data at the Institute of Laryngology and Otology from the last 45 years and analysed the disease ratios in male to female patients in different sites within the head and neck. Our results revealed a decreasing male to female ratio, though this was not statistically significant. However, it draws attention to the increasing number of women with head and neck cancer, which may reflect their increasing use of cigarettes and alcohol

    Exploiting alignment techniques in MATREX: the DCU machine translation system for IWSLT 2008

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    In this paper, we give a description of the machine translation (MT) system developed at DCU that was used for our third participation in the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT 2008). In this participation, we focus on various techniques for word and phrase alignment to improve system quality. Specifically, we try out our word packing and syntax-enhanced word alignment techniques for the Chinese–English task and for the English–Chinese task for the first time. For all translation tasks except Arabic–English, we exploit linguistically motivated bilingual phrase pairs extracted from parallel treebanks. We smooth our translation tables with out-of-domain word translations for the Arabic–English and Chinese–English tasks in order to solve the problem of the high number of out of vocabulary items. We also carried out experiments combining both in-domain and out-of-domain data to improve system performance and, finally, we deploy a majority voting procedure combining a language model based method and a translation-based method for case and punctuation restoration. We participated in all the translation tasks and translated both the single-best ASR hypotheses and the correct recognition results. The translation results confirm that our new word and phrase alignment techniques are often helpful in improving translation quality, and the data combination method we proposed can significantly improve system performance

    Methyl Orange degradation under visible Light over the heterojunction CuO/ZnO MPs prepared with precipitation assisted biosynthesis

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    与散装材料相比,纳米材料具有独特的物理、化学、视觉和催化性能,使得纳米材料的研究越来越普遍。碳基污染物尤其是染料对人类生存和环境的破坏性影响已受到人们的重视。以半导体为催化剂的光催化降解技术能有效地消除这些颜色污染物。众多的半导体可作为光催化剂来除去这些污染物,在这些材料中,ZnO由于许多优异的性能引起了人们极大的关注。室温下,ZnO宽带隙约为3.34eV,它的激子束缚能高达60meV,这对光催化应用是极其有吸引力的。由于ZnO具有较宽的带隙,其在可见光下光催化降解能力较弱。然而,往ZnO掺入其他金属元素或构建异质结可以提升其可见光的光催化性能。由于CuO具有较窄的带隙(1.2eV)和特殊的物...Research on microstructures has become increasingly popular due to their peculiar physicochemical and catalytic features compared to bulk ones. The damaging effects of carbon-based contaminants particularly dyes have received important attention owing to its influence on human exists and the setting. Photocatalytic degradation of these color contaminants employing semiconductors has been proven as...学位:工学硕士院系专业:化学化工学院_化学工程学号:2042015115469

    Characterization of indigenous Pyrus germplasm of Azad Jammu and Kashmir revealed by SDS-PAGE analysis

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    Soluble proteins of sixty pear genotypes/varieties were extracted from their leaves, separated by polyacrylamide gel electrophoresis and distinguished by protein banding pattern. Seven types of protein with 12 to 20 bands were observed. SD45 (Kashmiri nakh) showed the maximum (20) and KT60 (Keiffer) the minimum (12) number of bands. Remaining accessions exhibited less variability having 15 to 19 bands. The accessions were classified into 12 groups and individual accessions varied from 0.71to 0.97 similarity level. Moreover, the highest similarity was expressed among groups 1 to 7. UPGMA cluster analysis distributed the accessions into three clusters, seven sub-clusters along with 11 identical groups, one independent group and two independent accessions. There were 37 accessions in cluster I, 16 in II, 3 in III, 2 in independent group 12 and 2 accessions existed independently. The most variable accession, KT60 (Keiffer) fell independently, had the highest genetic diversity. The findings show that the pear accessions have different protein profile irrespective of their geographic locations and climatic conditions

    Trapdoor-indistinguishable secure channel free public key encryption with multi-keywords search (student contributions)

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    Public Key Encryption with Keyword Search (PEKS) enables users to search encrypted messages by a specific keyword without compromising the original data security. Traditional PEKS schemes allow users to search one keyword only instead of multiple keywords. Therefore, these schemes may not be applied in practice. Besides, some PEKS schemes are vulnerable to Keyword Guessing Attack (KGA). This paper formally defines a concept of Trapdoor-indistinguishable Secure Channel Free Public Key Encryption with Multi-Keywords Search (tSCF-MPEKS) and then presents a concrete construction of tSCF-MPEKS. The proposed scheme solves multiple keywords search problem and satisfies the properties of Ciphertext Indistinguishability and Trapdoor Indistinguishability. Its security is semantic security in the random oracle models under Bilinear Diffle-Hellman (BDH) and 1-Bilinear Diffie-Hellman Inversion (1-BDHI) assumptions so that it is able to resist KGA

    Enhancing Cellular Communications for UAVs via Intelligent Reflective Surface

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    Intelligent reflective surfaces (IRSs) capable of reconfiguring their electromagnetic absorption and reflection properties in real-time are offering unprecedented opportunities to enhance wireless communication experience in challenging environments. In this paper, we analyze the potential of IRS in enhancing cellular communications for UAVs, which currently suffers from poor signal strength due to the down-tilt of base station antennas optimized to serve ground users. We consider deployment of IRS on building walls, which can be remotely configured by cellular base stations to coherently direct the reflected radio waves towards specific UAVs in order to increase their received signal strengths. Using the recently released 3GPP ground-to-air channel models, we analyze the signal gains at UAVs due to the IRS deployments as a function of UAV height as well as various IRS parameters including size, altitude, and distance from base station. Our analysis suggests that even with a small IRS, we can achieve significant signal gain for UAVs flying above the cellular base station. We also find that the maximum gain can be achieved by optimizing the location of IRS including its altitude and distance to BS.Comment: 6 pages, 6 figure
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