WorldWideScience

Sample records for machine translation evaluation

  1. On automatic machine translation evaluation

    Directory of Open Access Journals (Sweden)

    Darinka Verdonik

    2013-05-01

    Full Text Available An important task of developing machine translation (MT is evaluating system performance. Automatic measures are most commonly used for this task, as manual evaluation is time-consuming and costly. However, to perform an objective evaluation is not a trivial task. Automatic measures, such as BLEU, TER, NIST, METEOR etc., have their own weaknesses, while manual evaluations are also problematic since they are always to some extent subjective. In this paper we test the influence of a test set on the results of automatic MT evaluation for the subtitling domain. Translating subtitles is a rather specific task for MT, since subtitles are a sort of summarization of spoken text rather than a direct translation of (written text. Additional problem when translating language pair that does not include English, in our example Slovene-Serbian, is that commonly the translations are done from English to Serbian and from English to Slovenian, and not directly, since most of the TV production is originally filmed in English. All this poses additional challenges to MT and consequently to MT evaluation. Automatic evaluation is based on a reference translation, which is usually taken from an existing parallel corpus and marked as a test set. In our experiments, we compare the evaluation results for the same MT system output using three types of test set. In the first round, the test set are 4000 subtitles from the parallel corpus of subtitles SUMAT. These subtitles are not direct translations from Serbian to Slovene or vice versa, but are based on an English original. In the second round, the test set are 1000 subtitles randomly extracted from the first test set and translated anew, from Serbian to Slovenian, based solely on the Serbian written subtitles. In the third round, the test set are the same 1000 subtitles, however this time the Slovene translations were obtained by manually correcting the Slovene MT outputs so that they are correct translations of the

  2. Automatic Evaluation of Machine Translation

    DEFF Research Database (Denmark)

    Martinez, Mercedes Garcia; Koglin, Arlene; Mesa-Lao, Bartolomé

    2015-01-01

    The availability of systems capable of producing fairly accurate translations has increased the popularity of machine translation (MT). The translation industry is steadily incorporating MT in their workflows engaging the human translator to post-edit the raw MT output in order to comply with a set...

  3. Evaluating Arabic to English Machine Translation

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    Laith S. Hadla

    2014-11-01

    Full Text Available Online text machine translation systems are widely used throughout the world freely. Most of these systems use statistical machine translation (SMT that is based on a corpus full with translation examples to learn from them how to translate correctly. Online text machine translation systems differ widely in their effectiveness, and therefore we have to fairly evaluate their effectiveness. Generally the manual (human evaluation of machine translation (MT systems is better than the automatic evaluation, but it is not feasible to be used. The distance or similarity of MT candidate output to a set of reference translations are used by many MT evaluation approaches. This study presents a comparison of effectiveness of two free online machine translation systems (Google Translate and Babylon machine translation system to translate Arabic to English. There are many automatic methods used to evaluate different machine translators, one of these methods; Bilingual Evaluation Understudy (BLEU method. BLEU is used to evaluate translation quality of two free online machine translation systems under consideration. A corpus consists of more than 1000 Arabic sentences with two reference English translations for each Arabic sentence is used in this study. This corpus of Arabic sentences and their English translations consists of 4169 Arabic words, where the number of unique Arabic words is 2539. This corpus is released online to be used by researchers. These Arabic sentences are distributed among four basic sentence functions (declarative, interrogative, exclamatory, and imperative. The experimental results show that Google machine translation system is better than Babylon machine translation system in terms of precision of translation from Arabic to English.

  4. Automatic Evaluation of Machine Translation

    DEFF Research Database (Denmark)

    Martinez, Mercedes Garcia; Koglin, Arlene; Mesa-Lao, Bartolomé

    2015-01-01

    The availability of systems capable of producing fairly accurate translations has increased the popularity of machine translation (MT). The translation industry is steadily incorporating MT in their workflows engaging the human translator to post-edit the raw MT output in order to comply with a set...... of post-editing effort, namely i) temporal (time), ii) cognitive (mental processes) and iii) technical (keyboard activity). For the purposes of this research, TER scores were correlated with two different indicators of post-editing effort as computed in the CRITT Translation Process Database (TPR......-DB) *. On the one hand, post-editing temporal effort was measured using FDur values (duration of segment production time excluding keystroke pauses >_ 200 seconds) and KDur values (duration of coherent keyboard activity excluding keystroke pauses >_ 5 seconds). On the other hand, post-editing technical effort...

  5. An Evaluation of Output Quality of Machine Translation (Padideh Software vs. Google Translate

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    Haniyeh Sadeghi Azer

    2015-08-01

    Full Text Available This study aims to evaluate the translation quality of two machine translation systems in translating six different text-types, from English to Persian. The evaluation was based on criteria proposed by Van Slype (1979. The proposed model for evaluation is a black-box type, comparative and adequacy-oriented evaluation. To conduct the evaluation, a questionnaire was assigned to end-users to evaluate the outputs to examine and determine, if the machine-generated translations are intelligible and acceptable from their point of view and which one of the machine-generated translations produced by Padideh software and Google Translate is more acceptable and useful from the end-users point of view. The findings indicate that, the machine-generated translations are intelligible and acceptable in translating certain text-types, for end-users and Google Translate is more acceptable from end-users point of view. Keywords: Machine Translation, Machine Translation Evaluation, Translation Quality

  6. Machine Translation

    Institute of Scientific and Technical Information of China (English)

    张严心

    2015-01-01

    As a kind of ancillary translation tool, Machine Translation has been paid increasing attention to and received different kinds of study by a great deal of researchers and scholars for a long time. To know the definition of Machine Translation and to analyse its benefits and problems are significant for translators in order to make good use of Machine Translation, and helpful to develop and consummate Machine Translation Systems in the future.

  7. Evaluation of Hindi to Punjabi Machine Translation System

    CERN Document Server

    Goyal, Vishal

    2009-01-01

    Machine Translation in India is relatively young. The earliest efforts date from the late 80s and early 90s. The success of every system is judged from its evaluation experimental results. Number of machine translation systems has been started for development but to the best of author knowledge, no high quality system has been completed which can be used in real applications. Recently, Punjabi University, Patiala, India has developed Punjabi to Hindi Machine translation system with high accuracy of about 92%. Both the systems i.e. system under question and developed system are between same closely related languages. Thus, this paper presents the evaluation results of Hindi to Punjabi machine translation system. It makes sense to use same evaluation criteria as that of Punjabi to Hindi Punjabi Machine Translation System. After evaluation, the accuracy of the system is found to be about 95%.

  8. An Evaluation of Output Quality of Machine Translation (Padideh Software vs. Google Translate)

    Science.gov (United States)

    Azer, Haniyeh Sadeghi; Aghayi, Mohammad Bagher

    2015-01-01

    This study aims to evaluate the translation quality of two machine translation systems in translating six different text-types, from English to Persian. The evaluation was based on criteria proposed by Van Slype (1979). The proposed model for evaluation is a black-box type, comparative and adequacy-oriented evaluation. To conduct the evaluation, a…

  9. Using the TED Talks to Evaluate Spoken Post-editing of Machine Translation

    DEFF Research Database (Denmark)

    Liyanapathirana, Jeevanthi; Popescu-Belis, Andrei

    2016-01-01

    This paper presents a solution to evaluate spoken post-editing of imperfect machine translation output by a human translator. We compare two approaches to the combination of machine translation (MT) and automatic speech recognition (ASR): a heuristic algorithm and a machine learning method...

  10. Quantitative evaluation of English-Japanese machine translation of medical literature.

    Science.gov (United States)

    Kiuchi, T; Kaihara, S

    1991-08-01

    Although many machine-translation programs are currently available, few evaluation methods of such translation exist for any given application area. It is difficult to evaluate machine-translation systems objectively because the quality of a translation depends on the combination of three factors: the translation program, the dictionary, and the original document. In this study, we developed a quantitative evaluation method for assessing machine translation, which evaluates these three factors separately. We applied this method to the translation of English to Japanese for medical literature and the method proved to be a good indicator for further system improvement. Using this method we also discovered other important points for machine translation, such as the examination of target documents for the construction of a better application dictionary.

  11. Using the TED Talks to Evaluate Spoken Post-editing of Machine Translation

    DEFF Research Database (Denmark)

    Liyanapathirana, Jeevanthi; Popescu-Belis, Andrei

    2016-01-01

    This paper presents a solution to evaluate spoken post-editing of imperfect machine translation output by a human translator. We compare two approaches to the combination of machine translation (MT) and automatic speech recognition (ASR): a heuristic algorithm and a machine learning method....... To obtain a data set with spoken post-editing information, we use the French version of TED talks as the source texts submitted to MT, and the spoken English counterparts as their corrections, which are submitted to an ASR system. We experiment with various levels of artificial ASR noise and also...

  12. Improvement of Machine Translation Evaluation by Simple Linguistically Motivated Features

    Institute of Scientific and Technical Information of China (English)

    Mu-Yun Yang; Shu-Qi Sun; Jun-Guo Zhu; Sheng Li; Tie-Jun Zhao; Xiao-Ning Zhu

    2011-01-01

    Adopting the regression SVM framework, this paper proposes a linguistically motivated feature engineering strategy to develop an MT evaluation metric with a better correlation with human assessments. In contrast to current practices of "greedy" combination of all available features, six features are suggested according to the human intuition for translation quality. Then the contribution of linguistic features is examined and analyzed via a hill-climbing strategy. Experiments indicate that, compared to either the SVM-ranking model or the previous attempts on exhaustive linguistic features, the regression SVM model with six linguistic information based features generalizes across different datasets better, and augmenting these linguistic features with proper non-linguistic metrics can achieve additional improvements.

  13. Machine Translation and Other Translation Technologies.

    Science.gov (United States)

    Melby, Alan

    1996-01-01

    Examines the application of linguistic theory to machine translation and translator tools, discusses the use of machine translation and translator tools in the real world of translation, and addresses the impact of translation technology on conceptions of language and other issues. Findings indicate that the human mind is flexible and linguistic…

  14. Evaluation of Machine Translation Errors in English and Iraqi Arabic

    Science.gov (United States)

    2010-05-01

    are made. Llitjós, Carbonell & Lavie (2005) created a hierarchical taxonomy of errors for use in refining rules of transfer-based MT systems...Translation. Proceedings of MT Summit XII. Llitjós, A., Carbonell , J., and Lavie, A. (2005). A framework for interactive and automatic refinement of

  15. Machine Translation Effect on Communication

    DEFF Research Database (Denmark)

    Jensen, Mika Yasuoka; Bjørn, Pernille

    2011-01-01

    Intercultural collaboration facilitated by machine translation has gradually spread in various settings. Still, little is known as for the practice of machine-translation mediated communication. This paper investigates how machine translation affects intercultural communication in practice. Based...... determines communication process largely, our data indicates communication relies more on a dynamic process where participants establish common ground than on reproducibility and grammatical accuracy.......Intercultural collaboration facilitated by machine translation has gradually spread in various settings. Still, little is known as for the practice of machine-translation mediated communication. This paper investigates how machine translation affects intercultural communication in practice. Based...... on communication in which multilingual communication system is applied, we identify four communication types and its’ influences on stakeholders’ communication process, especially focusing on establishment and maintenance of common ground. Different from our expectation that quality of machine translation results...

  16. Machine Translation Tools - Tools of The Translator's Trade

    DEFF Research Database (Denmark)

    Kastberg, Peter

    2012-01-01

    In this article three of the more common types of translation tools are presented, discussed and critically evaluated. The types of translation tools dealt with in this article are: Fully Automated Machine Translation (or FAMT), Human Aided Machine Translation (or HAMT) and Machine Aided Human...... Translation (or MAHT). The strengths and weaknesses of the different types of tools are discussed and evaluated by means of a number of examples. The article aims at two things: at presenting a sort of state of the art of what is commonly referred to as “machine translation” as well as at providing the reader...... with a sound basis for considering what translation tool (if any) is the most appropriate in order to meet his or her specific translation needs....

  17. Preliminary study of online machine translation use of nursing literature: quality evaluation and perceived usability

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    Anazawa Ryoko

    2012-11-01

    Full Text Available Abstract Background Japanese nurses are increasingly required to read published international research in clinical, educational, and research settings. Language barriers are a significant obstacle, and online machine translation (MT is a tool that can be used to address this issue. We examined the quality of Google Translate® (English to Japanese and Korean to Japanese, which is a representative online MT, using a previously verified evaluation method. We also examined the perceived usability and current use of online MT among Japanese nurses. Findings Randomly selected nursing abstracts were translated and then evaluated for intelligibility and usability by 28 participants, including assistants and research associates from nursing universities throughout Japan. They answered a questionnaire about their online MT use. From simple comparison of mean scores between two language pairs, translation quality was significantly better, with respect to both intelligibility and usability, for Korean-Japanese than for English-Japanese. Most respondents perceived a language barrier. Online MT had been used by 61% of the respondents and was perceived as not useful enough. Conclusion Nursing articles translated from Korean into Japanese by an online MT system could be read at an acceptable level of comprehension, but the same could not be said for English-Japanese translations. Respondents with experience using online MT used it largely to grasp the overall meanings of the original text. Enrichment in technical terms appeared to be the key to better usability. Users will be better able to use MT outputs if they improve their foreign language proficiency as much as possible. Further research is being conducted with a larger sample size and detailed analysis.

  18. A Conjoint Analysis Framework for Evaluating User Preferences in Machine Translation.

    Science.gov (United States)

    Kirchhoff, Katrin; Capurro, Daniel; Turner, Anne M

    2014-03-01

    Despite much research on machine translation (MT) evaluation, there is surprisingly little work that directly measures users' intuitive or emotional preferences regarding different types of MT errors. However, the elicitation and modeling of user preferences is an important prerequisite for research on user adaptation and customization of MT engines. In this paper we explore the use of conjoint analysis as a formal quantitative framework to assess users' relative preferences for different types of translation errors. We apply our approach to the analysis of MT output from translating public health documents from English into Spanish. Our results indicate that word order errors are clearly the most dispreferred error type, followed by word sense, morphological, and function word errors. The conjoint analysis-based model is able to predict user preferences more accurately than a baseline model that chooses the translation with the fewest errors overall. Additionally we analyze the effect of using a crowd-sourced respondent population versus a sample of domain experts and observe that main preference effects are remarkably stable across the two samples.

  19. An Evaluative Study of Machine Translation in the EFL Scenario of Saudi Arabia

    Directory of Open Access Journals (Sweden)

    Raneem Khalid Al-Tuwayrish

    2016-02-01

    Full Text Available Artificial Intelligence or AI as it is popularly known and its corollary, Machine Translation (MT have long engaged scientists, thinkers and linguists alike in the twenty first century. However, the wider question that lies in the relation between technology and translation is, What does technology do to language? This is an important question in the current paradigm because new translation technologies, such as, translation memories, data-based machine translation, and collaborative translation, far from being just additional tools, are changing the very nature of the translators’ cognitive activity, social relations, and professional standing. In fact, in some translation situations such as when translating technical materials or subject matter that are not a specialization with human translators, one potentially needs technology.  The purview of this paper, however, is limited to the role of MT in day to day situations where the generic MT tools like Google Translate or Bing Translator are encouraged. Further, it endeavours to weigh and empirically demonstrate the pros and cons of MT with a view to recommending measures for better communication training in the EFL set up of Saudi Arabia. Keywords: AI, MT, translation, technology, necessity, communication

  20. Recycling Texts: Human evaluation of example-based machine translation subtitles for DVD

    DEFF Research Database (Denmark)

    Flanagan, Marian

    2009-01-01

    This project focuses on translation reusability in audiovisual contexts. Specifically, the project seeks to establish (1) whether target language subtitles produced by an Example-Based Machine Translation (EBMT) system are considered intelligible and acceptable by viewers of movies on DVD, and (2...

  1. Conception d'une methodologie generale d'evaluation de la traduction automatique (Conception of a General Methodology for Evaluating Machine Translation).

    Science.gov (United States)

    van Slype, Georges

    1982-01-01

    It is proposed that assessment of human translation versus machine translation programs use methods and criteria that measure efficiency and cost effectiveness and are efficient and cost-effective in themselves. A variety of methods and criteria are evaluated and discussed. (MSE)

  2. Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation

    NARCIS (Netherlands)

    Callison-Burch, C.; Koehn, P.; Monz, C.; Peterson, K.; Przybocki, M.; Zaidan, O.F.

    2010-01-01

    This paper presents the results of the WMT10 and MetricsMATR10 shared tasks, which included a translation task, a system combination task, and an evaluation task. We conducted a large-scale manual evaluation of 104 machine translation systems and 41 system combination entries. We used the ranking of

  3. Findings of the 2011 workshop on statistical machine translation

    NARCIS (Netherlands)

    Callison-Burch, C.; Koehn, P.; Monz, C.; Zaidan, O.F.

    2011-01-01

    This paper presents the results of the WMT11 shared tasks, which included a translation task, a system combination task, and a task for machine translation evaluation metrics. We conducted a large-scale manual evaluation of 148 machine translation systems and 41 system combination entries. We used t

  4. Parsing statistical machine translation output

    NARCIS (Netherlands)

    Carter, S.; Monz, C.; Vetulani, Z.

    2009-01-01

    Despite increasing research into the use of syntax during statistical machine translation, the incorporation of syntax into language models has seen limited success. We present a study of the discriminative abilities of generative syntax-based language models, over and above standard n-gram models,

  5. Machine translation of TV subtitles for large scale production

    OpenAIRE

    Volk, Martin; Sennrich, Rico; Hardmeier, Christian; Tidström, Frida

    2010-01-01

    This paper describes our work on building and employing Statistical Machine Translation systems for TV subtitles in Scandinavia. We have built translation systems for Danish, English, Norwegian and Swedish. They are used in daily subtitle production and translate large volumes. As an example we report on our evaluation results for three TV genres. We discuss our lessons learned in the system development process which shed interesting light on the practical use of Machine Translation technology.

  6. Machine Translation in Post-Contemporary Era

    Science.gov (United States)

    Lin, Grace Hui Chin

    2010-01-01

    This article focusing on translating techniques via personal computer or laptop reports updated artificial intelligence progresses before 2010. Based on interpretations and information for field of MT [Machine Translation] by Yorick Wilks' book, "Machine Translation, Its scope and limits," this paper displays understandable theoretical frameworks…

  7. Adding Statistical Machine Translation Adaptation to Computer-Assisted Translation

    Science.gov (United States)

    2013-09-01

    on Telecommunications. Tehran, 2012, 822–826. Bertoldi, N.; Federico, M. Domain Adaptation for Statistical Machine Translation with Monolingual ...for Interactive Machine Translation. ICMI’11. Alicante, Spain: ACM, 2011, 197–200. 14 Haffari, G.; Sarkar, A. Active Learning for Multilingual

  8. Quantum Neural Network Based Machine Translator for Hindi to English

    Directory of Open Access Journals (Sweden)

    Ravi Narayan

    2014-01-01

    Full Text Available This paper presents the machine learning based machine translation system for Hindi to English, which learns the semantically correct corpus. The quantum neural based pattern recognizer is used to recognize and learn the pattern of corpus, using the information of part of speech of individual word in the corpus, like a human. The system performs the machine translation using its knowledge gained during the learning by inputting the pair of sentences of Devnagri-Hindi and English. To analyze the effectiveness of the proposed approach, 2600 sentences have been evaluated during simulation and evaluation. The accuracy achieved on BLEU score is 0.7502, on NIST score is 6.5773, on ROUGE-L score is 0.9233, and on METEOR score is 0.5456, which is significantly higher in comparison with Google Translation and Bing Translation for Hindi to English Machine Translation.

  9. Quantum neural network based machine translator for Hindi to English.

    Science.gov (United States)

    Narayan, Ravi; Singh, V P; Chakraverty, S

    2014-01-01

    This paper presents the machine learning based machine translation system for Hindi to English, which learns the semantically correct corpus. The quantum neural based pattern recognizer is used to recognize and learn the pattern of corpus, using the information of part of speech of individual word in the corpus, like a human. The system performs the machine translation using its knowledge gained during the learning by inputting the pair of sentences of Devnagri-Hindi and English. To analyze the effectiveness of the proposed approach, 2600 sentences have been evaluated during simulation and evaluation. The accuracy achieved on BLEU score is 0.7502, on NIST score is 6.5773, on ROUGE-L score is 0.9233, and on METEOR score is 0.5456, which is significantly higher in comparison with Google Translation and Bing Translation for Hindi to English Machine Translation.

  10. Machine Translation Based on Translation Corresponding Tree Structure

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    A representation schema called translation corresponding tree (TCT) has been applied to a Portuguese to Chinese example-based machine translation system. The translation examples are annotated by the representation of the TCT structure. Each TCT describes not only the syntactic structure of the source sentence (i.e., Portuguese in our system) but also the translation correspondences (i.e., Chinese translation). In addition, the TCT nodes describe the corresponding linguistic relationships between the source and target languages. The translation examples can be effectively represented with this annotation schema and organized in the bilingual knowledge database or example base. In the real machine translation process, the target language is synthesized with higher quality by referring to the TCT translation information.

  11. Discriminative syntactic reranking for statistical machine translation

    NARCIS (Netherlands)

    Carter, S.; Monz, C.

    2010-01-01

    This paper describes a method that successfully exploits simple syntactic features for n-best translation candidate reranking using perceptrons. Our approach uses discriminative language modelling to rerank the n-best translations generated by a statistical machine translation system. The performanc

  12. Fundamentals of Machine Learning for Neural Machine Translation

    OpenAIRE

    Kelleher, John

    2016-01-01

    This paper presents a short introduction to neural networks and how they are used for machine translation and concludes with some discussion on the current research challenges being addressed by neural machine translation (NMT) research. The primary goal of this paper is to give a no-tears introduction to NMT to readers that do not have a computer science or mathematical background. The secondary goal is to provide the reader with a deep enough understanding of NMT that they can appreciate th...

  13. Using example-based machine translation to translate DVD subtitles

    DEFF Research Database (Denmark)

    Flanagan, Marian

    Audiovisual Translation (AVT), and in particular subtitling, has been recognised as an area that could potentially benefit from the introduction of machine translation (followed by post-editing). In recent years the demands on subtitlers have increased, while the payment to subtitlers and time al...

  14. ARABIC-MALAY MACHINE TRANSLATION USING RULE-BASED APPROACH

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    Ahmed Jumaa Alsaket

    2014-01-01

    Full Text Available Arabic machine translation has been taking place in machine translation projects in recent years. This study concentrates on the translation of Arabic text to its equivalent in Malay language. The problem of this research is the syntactic and morphological differences between Arabic and Malay adjective sentences. The main aim of this study is to design and develop Arabic-Malay machine translation model. First, we analyze the adjective role in the Arabic and Malay languages. Based on this analysis, we identify the transfer bilingual rules form source language to target language so that the translation of source language to target language can be performed by computers successfully. Then, we build and implement a machine translation prototype called AMTS to translate from Arabic to Malay based on rule based approach. The system is evaluated on set of simple Arabic sentences. The techniques used to evaluate the correctness of the system translation are the BLEU metric algorithm and the human judgment. The results of the BLEU algorithm show that the AMTS system performs better than Google in the translation of Arabic sentences into Malay. In addition, the average accuracy given by human judges is 92.3% for our system and 75.3% for Google.

  15. Word Transition Entropy as an Indicator for Expected Machine Translation Quality

    DEFF Research Database (Denmark)

    Carl, Michael; Schaeffer, Moritz

    2014-01-01

    While most machine translation evaluation techniques (BLEU, NIST, TER, METEOR) assess translation quality based on a set of reference translations, we suggest to evaluate the literality of a set of (human or machine generated) translations to infer their potential quality. We provide evidence which...... suggests that more literal translations are produced more easily, by humans and machine, and are also less error prone. Literal translations may not be appropriate or even possible for all languages, types of texts, and translation purposes. However, in this paper we show that an assessment...... of the literality of translations allows us to (1) evaluate human and machine translations in a similar fashion and (2) may be instrumental to predict machine translation quality scores,...

  16. Project-specific Machine Translation

    Science.gov (United States)

    2011-12-01

    Linguistic Data Consortium’s Reflex Pack for Less Commonly Taught Languages (LCTL) (7). The corpora labeled Sada -e-Azadi (SeA) (11) and Afghan Recovery...Linguistics, Philadelphia, PA, 2002, 311–318. 11. Sada -e Azadi. http://www.sada-e-azadi.net (accessed 2011). 12. Stolcke, A. SRILM - An Extensible...Translation Center QAMO Qamoosuna (dictionaries) RH Ranger Handbook SCFG Synchronous Context Free Grammar SeA Sada -e-Azadi SME subject matter expert SMT

  17. English to Tamil machine translation system using universal networking language

    Indian Academy of Sciences (India)

    RAJESWARI SRIDHAR; PAVITHRA SETHURAMAN; KASHYAP KRISHNAKUMAR

    2016-06-01

    This paper proposes English to Tamil machine translation system, using the universal networking language (UNL) as the intermediate representation. The UNL approach is a hybrid approach of the rule and knowledge-based approaches to machine translation. UNL is a declarative formal language, specifically designed to represent semantic data extracted from a natural language text. The input English sentence is converted to UNL (enconversion), which is then converted to a Tamil sentence (deconversion) by ensuring thatthe meaning of the input sentence is preserved. The representation of UNL was modified to suit the translation process. A new sentence formation algorithm was also proposed to rearrange the translated Tamil words to sentences. The translation system was evaluated using bilingual evaluation understudy (BLEU) score. A BLEU score of 0.581 was achieved, which is an indication that most of the information in the input sentence is retained in the translated sentence. The scores obtained using the UNL based approach were compared with existingapproaches to translation, and it can be concluded that the UNL is a more suited approach to machine translation.

  18. Rule-based machine translation for Aymara

    NARCIS (Netherlands)

    Coler, Matthew; Homola, Petr; Jones, Mari

    2014-01-01

    This paper presents the ongoing result of an approach developed by the collaboration of a computational linguist with a field linguist that addresses one of the oft-overlooked keys to language maintenance: the development of modern language-learning tools. Although machine translation isn’t commonly

  19. INTEGRATING MACHINE TRANSLATION AND SPEECH SYNTHESIS COMPONENT FOR ENGLISH TO DRAVIDIAN LANGUAGE SPEECH TO SPEECH TRANSLATION SYSTEM

    Directory of Open Access Journals (Sweden)

    J. SANGEETHA

    2015-02-01

    Full Text Available This paper provides an interface between the machine translation and speech synthesis system for converting English speech to Tamil text in English to Tamil speech to speech translation system. The speech translation system consists of three modules: automatic speech recognition, machine translation and text to speech synthesis. Many procedures for incorporation of speech recognition and machine translation have been projected. Still speech synthesis system has not yet been measured. In this paper, we focus on integration of machine translation and speech synthesis, and report a subjective evaluation to investigate the impact of speech synthesis, machine translation and the integration of machine translation and speech synthesis components. Here we implement a hybrid machine translation (combination of rule based and statistical machine translation and concatenative syllable based speech synthesis technique. In order to retain the naturalness and intelligibility of synthesized speech Auto Associative Neural Network (AANN prosody prediction is used in this work. The results of this system investigation demonstrate that the naturalness and intelligibility of the synthesized speech are strongly influenced by the fluency and correctness of the translated text.

  20. On Using Very Large Target Vocabulary for Neural Machine Translation

    OpenAIRE

    Jean, Sébastien; Cho, Kyunghyun; Memisevic, Roland; Bengio, Yoshua

    2014-01-01

    Neural machine translation, a recently proposed approach to machine translation based purely on neural networks, has shown promising results compared to the existing approaches such as phrase-based statistical machine translation. Despite its recent success, neural machine translation has its limitation in handling a larger vocabulary, as training complexity as well as decoding complexity increase proportionally to the number of target words. In this paper, we propose a method that allows us ...

  1. Unraveling the Contribution of Image Captioning and Neural Machine Translation for Multimodal Machine Translation

    Directory of Open Access Journals (Sweden)

    Lala Chiraag

    2017-06-01

    Full Text Available Recent work on multimodal machine translation has attempted to address the problem of producing target language image descriptions based on both the source language description and the corresponding image. However, existing work has not been conclusive on the contribution of visual information. This paper presents an in-depth study of the problem by examining the differences and complementarities of two related but distinct approaches to this task: textonly neural machine translation and image captioning. We analyse the scope for improvement and the effect of different data and settings to build models for these tasks. We also propose ways of combining these two approaches for improved translation quality.

  2. Resolution of Unidentified Words in Machine Translation

    CERN Document Server

    Ullah, Sana; Kwak, Kyung Sup

    2009-01-01

    This paper presents a mechanism of resolving unidentified lexical units in text-based machine translation (TBMT). In machine translation system it is unlikely to have a complete MT lexicon and hence there is a need of a mechanism to handle the problem of unidentified words. These unknown words could be abbreviations, names, acronyms and newly introduced terms. We have proposed an algorithm for the resolution of the unidentified words. This algorithm takes discourse unit (primitive discourse) as a unit of analysis and provides real time updates to the lexicon. We have manually applied the algorithm to news paper fragments. Along with anaphora and cataphora1 resolution, many unknown words especially names and abbreviations were updated to the lexicon. Moreover flowchart of the proposed algorithm is also presented.

  3. Complex Networks Analysis of Manual and Machine Translations

    Science.gov (United States)

    Amancio, Diego R.; Antiqueira, Lucas; Pardo, Thiago A. S.; da F. Costa, Luciano; Oliveira, Osvaldo N.; Nunes, Maria G. V.

    Complex networks have been increasingly used in text analysis, including in connection with natural language processing tools, as important text features appear to be captured by the topology and dynamics of the networks. Following previous works that apply complex networks concepts to text quality measurement, summary evaluation, and author characterization, we now focus on machine translation (MT). In this paper we assess the possible representation of texts as complex networks to evaluate cross-linguistic issues inherent in manual and machine translation. We show that different quality translations generated by MT tools can be distinguished from their manual counterparts by means of metrics such as in- (ID) and out-degrees (OD), clustering coefficient (CC), and shortest paths (SP). For instance, we demonstrate that the average OD in networks of automatic translations consistently exceeds the values obtained for manual ones, and that the CC values of source texts are not preserved for manual translations, but are for good automatic translations. This probably reflects the text rearrangements humans perform during manual translation. We envisage that such findings could lead to better MT tools and automatic evaluation metrics.

  4. Findings of the 2014 Workshop on Statistical Machine Translation

    NARCIS (Netherlands)

    Bojar, O.; Buck, C.; Federmann, C.; Haddow, B.; Koehn, P.; Leveling, J.; Monz, C.; Pecina, P.; Post, M.; Saint-Amand, H.; Soricut, R.; Specia, L.; Tamchyna, A.

    2014-01-01

    This paper presents the results of the WMT14 shared tasks, which included a standard news translation task, a separate medical translation task, a task for run-time estimation of machine translation quality, and a metrics task. This year, 143 machine translation systems from 23 institutions were sub

  5. A Study on Automatic Scoring for Machine Translation Systems

    Institute of Scientific and Technical Information of China (English)

    Yao Jianmin(姚建民); Zhang Jing; Zhao Tiejun; Li Sheng

    2004-01-01

    String similarity measures of edit distance, cosine correlation and Dice coefficient are adopted to evaluate machine translation results. Experiment shows that the evaluation method distinguishes well between "good" and "bad" translations. Another experiment manifests a consistency between human and automatic scorings of 6 general-purpose MT systems. Equational analysis validates the experimental results. Although the data and graphs are very promising, correlation coefficient and significance tests at 0.01 level are made to ensure the reliability of the results. Linear regression is made to map the automatic scoring results to human scorings.

  6. Empirical Investigation of Optimization Algorithms in Neural Machine Translation

    Directory of Open Access Journals (Sweden)

    Bahar Parnia

    2017-06-01

    Full Text Available Training neural networks is a non-convex and a high-dimensional optimization problem. In this paper, we provide a comparative study of the most popular stochastic optimization techniques used to train neural networks. We evaluate the methods in terms of convergence speed, translation quality, and training stability. In addition, we investigate combinations that seek to improve optimization in terms of these aspects. We train state-of-the-art attention-based models and apply them to perform neural machine translation. We demonstrate our results on two tasks: WMT 2016 En→Ro and WMT 2015 De→En.

  7. Analysing Quality of English-Hindi Machine Translation Engine outputs using Baysian Classification

    OpenAIRE

    Rashmi Gupta; Nisheeth Joshi; Iti Mathur

    2013-01-01

    This paper considers the problem for estimating the quality of machine translation outputs which are independent of human intervention and are generally addressed using machine learning techniques.There are various measures through which a machine learns translations quality. Automatic Evaluation metrics produce good co-relation at corpus level but cannot produce the same results at the same segment or sentence level. In this paper 16 features are extracted from the input sentence...

  8. Part Machinability Evaluation System

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    In the early design period, estimation of the part or the whole product machinability is useful to consider the function and process request of the product at the same time so as to globally optimize the design decision. This paper presents a part machinability evaluation system, discusses the general restrictions of part machinability, and realizes the inspection of these restrictions with the relation between tool scan space and part model. During the system development, the expansibility and understandability were considered, and an independent restriction algorithm library and a general function library were set up. Additionally, the system has an interpreter and a knowledge manager.

  9. Urdu to Punjabi Machine Translation: An Incremental Training Approach

    Directory of Open Access Journals (Sweden)

    Umrinderpal Singh

    2016-04-01

    Full Text Available The statistical machine translation approach is highly popular in automatic translation research area and promising approach to yield good accuracy. Efforts have been made to develop Urdu to Punjabi statistical machine translation system. The system is based on an incremental training approach to train the statistical model. In place of the parallel sentences corpus has manually mapped phrases which were used to train the model. In preprocessing phase, various rules were used for tokenization and segmentation processes. Along with these rules, text classification system was implemented to classify input text to predefined classes and decoder translates given text according to selected domain by the text classifier. The system used Hidden Markov Model(HMM for the learning process and Viterbi algorithm has been used for decoding. Experiment and evaluation have shown that simple statistical model like HMM yields good accuracy for a closely related language pair like Urdu-Punjabi. The system has achieved 0.86 BLEU score and in manual testing and got more than 85% accuracy.

  10. An Overall Perspective of Machine Translation with its Shortcomings

    Directory of Open Access Journals (Sweden)

    Alireza Akbari

    2014-01-01

    Full Text Available The petition for language translation has strikingly augmented recently due to cross-cultural communication and exchange of information. In order to communicate well, text should be translated correctly and completely in each field such as legal documents, technical texts, scientific texts, publicity leaflets, and instructional materials. In this connection, Machine translation is of great importance in translation. The term “Machine Translation” was first proposed by George Artsrouni and Smirnov Troyanski (1933 to design a storage design on paper tape. This paper sought to investigate an overall perspective of Machine Translation models and its metrics in detail. Finally, it scrutinized the ins and outs shortcomings of Machine Translation

  11. Quantum Neural Network Based Machine Translator for Hindi to English

    OpenAIRE

    Ravi Narayan; V. P. Singh; S. Chakraverty

    2014-01-01

    This paper presents the machine learning based machine translation system for Hindi to English, which learns the semantically correct corpus. The quantum neural based pattern recognizer is used to recognize and learn the pattern of corpus, using the information of part of speech of individual word in the corpus, like a human. The system performs the machine translation using its knowledge gained during the learning by inputting the pair of sentences of Devnagri-Hindi and English. To analyze t...

  12. Quantum Neural Network Based Machine Translator for Hindi to English

    OpenAIRE

    Ravi Narayan; Singh, V. P.; S. Chakraverty

    2014-01-01

    This paper presents the machine learning based machine translation system for Hindi to English, which learns the semantically correct corpus. The quantum neural based pattern recognizer is used to recognize and learn the pattern of corpus, using the information of part of speech of individual word in the corpus, like a human. The system performs the machine translation using its knowledge gained during the learning by inputting the pair of sentences of Devnagri-Hindi and English. To analyze t...

  13. LSTM Neural Reordering Feature for Statistical Machine Translation

    OpenAIRE

    Cui, Yiming; Wang, Shijin; Li, Jianfeng

    2015-01-01

    Artificial neural networks are powerful models, which have been widely applied into many aspects of machine translation, such as language modeling and translation modeling. Though notable improvements have been made in these areas, the reordering problem still remains a challenge in statistical machine translations. In this paper, we present a novel neural reordering model that directly models word pairs and alignment. By utilizing LSTM recurrent neural networks, much longer context could be ...

  14. Machine Translation as a Complex System: The Role of Esperanto

    Directory of Open Access Journals (Sweden)

    Federic Gobbo

    2015-04-01

    Full Text Available The history of machine translation and the history of Esperanto have long been connected, as they are two different ways to deal with the same problem: the problem of communication across language barriers. Language can be considered a Complex Adaptive System (CAS, and machine translation too. In fact, there are multiple agents (both natural and artificial involved, interacting with one another and committed to achieve a common goal, i.e., the machine translation task. The main characteristics of language as a CAS are also shared in machine translation, especially if we consider the example-based, statistical approach, which is nowadays paradigmatic and unavoidable. In fact, control is distributed, there is no ideal representing agent (intrinsic diversity, there are perpetual dynamics in performance, adapted through amplification and competition of new examples from the crowd of users. On the other hand, Esperanto, being a living language, can be considered a CAS, but of a special kind, because its intrinsic regularity in structure simplifies the task of machine translation, at least up to a certain level. This paper reviews how Esperanto has enhanced the development of human-machine communication in general and within machine translation in particular, tracing some prospects for further development of machine translation, where Esperanto could play a key role.

  15. Exact Decoding for Phrase-Based Statistical Machine Translation

    NARCIS (Netherlands)

    Aziz, W.; Dymetman, M.; Specia, L.

    2014-01-01

    The combinatorial space of translation derivations in phrase-based statistical machine translation is given by the intersection between a translation lattice and a target language model. We replace this intractable intersection by a tractable relaxation which incorporates a low-order upperbound on t

  16. Machine Translation in the German Classroom: Detection, Reaction, Prevention

    Science.gov (United States)

    Steding, Soren

    2009-01-01

    There are many websites today that offer free machine translations and although beginning students of German are not always proficient enough to judge the quality of these translations or to fully understand certain translation results, they use these services nonetheless for their assignments. The problem for the educator is to distinguish…

  17. Exploration and exploitation of multilingual data for statistical machine translation

    NARCIS (Netherlands)

    Carter, S.C.

    2012-01-01

    Shortly after the birth of computer science, researchers realised the importance of machine translation as a task worth of concentrated effort, but it is only recently that algorithms are able to provide automatic translations usable by the masses. Modern translation systems are dependent on bilingu

  18. An Investigation of the Relationship Between Automated Machine Translation Evaluation Metrics and User Performance on an Information Extraction Task

    Science.gov (United States)

    2007-01-01

    variable relationships is appropriate for many applications such as ecological and social science studies. I derive two distinct expressions yielding two...search for other domains of applicability. Datasets which are highly cross-classified are often available in several applications such as ecology ...Validation of MT Evaluation Metrics Across Languages,” In Proceedings of the Language Resources and Evaluation Conference (LREC ’02), Las Palmas , Canary

  19. Quantifying the Efficiency of a Translator: The Effect of Syntactical and Literal Written Translations on Language Comprehension Using the Machine Translation System FALCon

    Science.gov (United States)

    McCulloh, Ian A.; Morton, Jillian; Jantzi, Jennifer K.; Rodriguez, Amy M.; Graham, John

    2008-01-01

    This study introduces a new method of evaluating human comprehension in the context of machine translation using a language translation program known as the FALCon (Forward Area Language Converter). The participants include 48 freshmen from the United States Military Academy enrolled in the General Psychology course, PL100. Results of this study…

  20. Quantifying the Efficiency of a Translator: The Effect of Syntactical and Literal Written Translations on Language Comprehension Using the Machine Translation System FALCon (Foreign Area Language Converter)

    Science.gov (United States)

    McCulloh, Ian A.; Morton, Jillian; Jantzi, Jennifer K.; Rodriguez, Amy M.; Graham, John

    2008-01-01

    The purpose of this study is to introduce a new method of evaluating human comprehension in the context of machine translation using a language translation program known as the FALCon (Forward Area Language Converter). The FALCon works by converting documents into digital images via scanner, and then converting those images to electronic text by…

  1. Syntactic Reordering for Arabic- English Phrase-Based Machine Translation

    Science.gov (United States)

    Hatem, Arwa; Omar, Nazlia

    Machine Translation (MT) refers to the use of a machine for performing translation task which converts text or speech in one Natural Language (Source Language (SL)) into another Natural Language (Target Language (TL)). The translation from Arabic to English is difficult task due to the Arabic languages are highly inflectional, rich morphology and relatively free word order. Word ordering plays an important part in the translation process. The paper proposes a transfer-based approach in Arabic to English MT to handle the word ordering problem. Preliminary tested indicate that our system, AE-TBMT is competitive when compared against other approaches from the literature.

  2. Can multilingual machine translation help make medical record content more comprehensible to patients?

    Science.gov (United States)

    Zeng-Treitler, Qing; Kim, Hyeoneui; Rosemblat, Graciela; Keselman, Alla

    2010-01-01

    With the development of electronic personal health records, more patients are gaining access to their own medical records. However, comprehension of medical record content remains difficult for many patients. Because each record is unique, it is also prohibitively costly to employ human translators to solve this problem. In this study, we investigated whether multilingual machine translation could help make medical record content more comprehensible to patients who lack proficiency in the language of the records. We used a popular general-purpose machine translation tool called Babel Fish to translate 213 medical record sentences from English into Spanish, Chinese, Russian and Korean. We evaluated the comprehensibility and accuracy of the translation. The text characteristics of the incorrectly translated sentences were also analyzed. In each language, the majority of the translations were incomprehensible (76% to 92%) and/or incorrect (77% to 89%). The main causes of the translation are vocabulary difficulty and syntactical complexity. A general-purpose machine translation tool like the Babel Fish is not adequate for the translation of medical records; however, a machine translation tool can potentially be improved significantly, if it is trained to target certain narrow domains in medicine.

  3. Machine Translation of Noun Phrases from English to Igala using ...

    African Journals Online (AJOL)

    PROF. OLIVER OSUAGWA

    2014-06-01

    Jun 1, 2014 ... for easier processing of concepts This clearly shows that ... research organizations and government agencies to .... first hybrid machine translation in 2009. English and ... sentence structure in the target language. There is no ...

  4. EVALUATION OF MACHINE TOOL QUALITY

    Directory of Open Access Journals (Sweden)

    Ivan Kuric

    2011-12-01

    Full Text Available Paper deals with aspects of quality and accuracy of machine tools. As the accuracy of machine tools has key factor for product quality, it is important to know the methods for evaluation of quality and accuracy of machine tools. Several aspects of diagnostics of machine tools are described, such as aspects of reliability.

  5. Bean Soup Translation: Flexible, Linguistically-Motivated Syntax for Machine Translation

    Science.gov (United States)

    Mehay, Dennis Nolan

    2012-01-01

    Machine translation (MT) systems attempt to translate texts from one language into another by translating words from a "source language" and rearranging them into fluent utterances in a "target language." When the two languages organize concepts in very different ways, knowledge of their general sentence structure, or…

  6. Evaluative Meaning in Translation

    Directory of Open Access Journals (Sweden)

    Primož Jurko

    2015-12-01

    Full Text Available Evaluative meaning is frequently understood as a form of connotation, pertaining to single lexical items. However, the term has recently been applied also to longer stretches of text, spanning several words. The paper generally deals with the latter aspect and provides a corpus-driven analysis of several Slovene and English phrases that may appear semantically neutral, yet turn out to be heavily non-neutral in terms of their semantic properties. After a short introduction of the main approaches to the topic, including its dilemmas, the paper focuses on the L1-into-L2 translation of such strings, with particular emphasis on proper rendering of the evaluative meaning. While further research is warranted into the matter, the work presented here attests to the complex and ubiquitous nature of the Sinclairian extended unit of meaning.

  7. Advancement in Productivity of Arabic into English Machine Translation Systems from 2008 to 2013

    Science.gov (United States)

    Abu-Al-Sha'r, Awatif M.; AbuSeileek, Ali F.

    2013-01-01

    This paper attempts to compare between the advancements in the productivity of Arabic into English Machine Translation Systems between two years, 2008 and 2013. It also aims to evaluate the progress achieved by various systems of Arabic into English electronic translation between the two years. For tracing such advancement, a comparative analysis…

  8. Machine Translation-Assisted Language Learning: Writing for Beginners

    Science.gov (United States)

    Garcia, Ignacio; Pena, Maria Isabel

    2011-01-01

    The few studies that deal with machine translation (MT) as a language learning tool focus on its use by advanced learners, never by beginners. Yet, freely available MT engines (i.e. Google Translate) and MT-related web initiatives (i.e. Gabble-on.com) position themselves to cater precisely to the needs of learners with a limited command of a…

  9. Chunk Alignment for Corpus-Based Machine Translation

    Science.gov (United States)

    Kim, Jae Dong

    2011-01-01

    Since sub-sentential alignment is critically important to the translation quality of an Example-Based Machine Translation (EBMT) system, which operates by finding and combining phrase-level matches against the training examples, we developed a new alignment algorithm for the purpose of improving the EBMT system's performance. This new…

  10. Machine Translation with Many Manually Labeled Discourse Connectives

    OpenAIRE

    Meyer, Thomas; Polakova, Lucie

    2013-01-01

    The paper presents machine translation experiments from English to Czech with a large amount of manually annotated discourse connectives. The gold-standard discourse relation annotation leads to better translation performance in ranges of 4–60% for some ambiguous English connectives and helps to find correct syntactical constructs in Czech for less ambiguous connectives. Automatic scoring confirms the stability of the newly built discourse-aware translation systems. Error analysis and human t...

  11. Approaches to handle scarce resources for Bengali statistical machine translation

    OpenAIRE

    Roy, Maxim

    2010-01-01

    Machine translation (MT) is a hard problem because of the highly complex, irregular and diverse nature of natural language. MT refers to computerized systems that utilize software to translate text from one natural language into another with or without human assistance. It is impossible to accurately model all the linguistic rules and relationships that shape the translation process, and therefore MT has to make decisions based on incomplete data. In order to handle this incomplete data, a pr...

  12. Integrating Automatic Speech Recognition and Machine Translation for Better Translation Outputs

    DEFF Research Database (Denmark)

    Liyanapathirana, Jeevanthi

    than typing, making the translation process faster. The spoken translation is analyzed and combined with the machine translation output of the same sentence using different methods. We study a number of different translation models in the context of n-best list rescoring methods. As an alternative...... to the n-best list rescoring, we also use word graphs with the expectation of arriving at a tighter integration of ASR and MT models. Integration methods include constraining ASR models using language and translation models of MT, and vice versa. We currently develop and experiment different methods...... on the Danish – English language pair, with the use of a speech corpora and parallel text. The methods are investigated to check ways that the accuracy of the spoken translation of the translator can be increased with the use of machine translation outputs, which would be useful for potential computer...

  13. Linguistically motivated statistical machine translation models and algorithms

    CERN Document Server

    Xiong, Deyi

    2015-01-01

    This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT). It helps advance conventional SMT to linguistically motivated SMT by enhancing the following three essential components: translation, reordering and bracketing models. It also serves the purpose of promoting the in-depth study of the impacts of linguistic knowledge on machine translation. Finally it provides a systematic introduction of Bracketing Transduction Grammar (BTG) based SMT, one of the state-of-the-art SMT formalisms, as well as a case study of linguistically motivated SMT on a BTG-based platform.

  14. Precise machine translation of computer science study

    CSIR Research Space (South Africa)

    Marais, L

    2015-07-01

    Full Text Available mobile (Android) application for translating discrete mathematics definitions between English and Afrikaans. The main component of the system is a Grammatical Framework (GF) application grammar which produces syntactically and semantically accurate...

  15. Machine Translation in the Hands of Trainee Translators – an Empirical Study

    Directory of Open Access Journals (Sweden)

    Sycz-Opoń Joanna

    2017-03-01

    Full Text Available Automated translation (machine translation, MT is systematically gaining popularity among professional translators, who claim that editing MT output requires less time and effort than translating from scratch. MT technology is also offered in leading translator’s workstations, e.g., SDL Trados Studio, memoQ, Déjà Vu and Wordfast. Therefore, the dilemma arises: should MT be introduced into formal translation training? In order to answer this question, first, it is necessary to understand how trainee translators actually use MT.

  16. Machine Translation Using Constraint-Based Synchronous Grammar

    Institute of Scientific and Technical Information of China (English)

    WONG Fai; DONG Mingchui; HU Dongcheng

    2006-01-01

    A synchronous grammar based on the formalism of context-free grammar was developed by generalizing the first component of production that models the source text. Unlike other synchronous grammars,the grammar allows multiple target productions to be associated to a single production rule which can be used to guide a parser to infer different possible translational equivalences for a recognized input string according to the feature constraints of symbols in the pattern. An extended generalized LR algorithm was adapted to the parsing of the proposed formalism to analyze the syntactic structure of a language. The grammar was used as the basis for building a machine translation system for Portuguese to Chinese translation. The empirical results show that the grammar is more expressive when modeling the translational equivalences of parallel texts for machine translation and grammar rewriting applications.

  17. English to Sanskrit Machine Translation Using Transfer Based approach

    Science.gov (United States)

    Pathak, Ganesh R.; Godse, Sachin P.

    2010-11-01

    Translation is one of the needs of global society for communicating thoughts and ideas of one country with other country. Translation is the process of interpretation of text meaning and subsequent production of equivalent text, also called as communicating same meaning (message) in another language. In this paper we gave detail information on how to convert source language text in to target language text using Transfer Based Approach for machine translation. Here we implemented English to Sanskrit machine translator using transfer based approach. English is global language used for business and communication but large amount of population in India is not using and understand the English. Sanskrit is ancient language of India most of the languages in India are derived from Sanskrit. Sanskrit can be act as an intermediate language for multilingual translation.

  18. Using example-based machine translation to translate DVD subtitles

    DEFF Research Database (Denmark)

    Flanagan, Marian

    allotted to produce the subtitles have both decreased. Therefore, this market is recognised as a potential real-world application of MT. Recent publications have introduced Corpus-Based MT approaches to translate subtitles. An SMT system has been implemented in a Swedish subtitling company to translate...... between Swedish and Danish and Swedish and Norwegian subtitles, with the company already reporting a successful return on their investment. The hybrid EBMT/SMT system used in the current research, on the other hand, remains within the confines of academic research, and the real potential of the system...... more accessible for use within the AVT industry, and to put the system in a position where it could compete commercially with the SMT approach....

  19. TRANSLATOR OF FINITE STATE MACHINE MODEL PARAMETERS FROM MATLAB ENVIRONMENT INTO HUMAN-MACHINE INTERFACE APPLICATION

    OpenAIRE

    2012-01-01

    Technology and means for automatic translation of FSM model parameters from Matlab application to human-machine interface application is proposed. The example of technology application to the electric apparatus model is described.

  20. Machine translation with minimal reliance on parallel resources

    CERN Document Server

    Tambouratzis, George; Sofianopoulos, Sokratis

    2017-01-01

    This book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Statistical Machine Translation (SMT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER. Additionally, a free-to-use code is available, that allows the creation of new MT systems. The volume is addressed to both language professionals and researchers. Prerequisites for the readers are very limited and include a basic understanding of the machine translation as well as of the basic tools of natural language processing.

  1. Good Applications for Crummy Machine Translation

    Science.gov (United States)

    1991-07-01

    multilingual 16 computational linguistics __.__n _____ODE 16. PRICE CODE 17. SECURITY CLASSIFICTION 18. SECURITY CLASSIFICATION 19. SECURITY...relatively few keystrokes. Peter Brown (personal communication) once remarked that such a super-fast typewriter ought to be possible in the monolingual case... Multilingual System under Development, Computational Linguistics, 11:2-3, pp. 155-169. [81 Kay, M. (1980) "The Proper Place of Men and Machines in Language

  2. Translating DVD Subtitles English-German, English-Japanese, Using Example-based Machine Translation

    DEFF Research Database (Denmark)

    Armstrong, Stephen; Caffrey, Colm; Flanagan, Marian

    2006-01-01

    Due to limited budgets and an ever-diminishing time-frame for the production of subtitles for movies released in cinema and DVD, there is a compelling case for a technology-based translation solution for subtitles. In this paper we describe how an Example-Based Machine Translation (EBMT) approach...

  3. Transliteration normalization for Information Extraction and Machine Translation

    Directory of Open Access Journals (Sweden)

    Yuval Marton

    2014-12-01

    Full Text Available Foreign name transliterations typically include multiple spelling variants. These variants cause data sparseness and inconsistency problems, increase the Out-of-Vocabulary (OOV rate, and present challenges for Machine Translation, Information Extraction and other natural language processing (NLP tasks. This work aims to identify and cluster name spelling variants using a Statistical Machine Translation method: word alignment. The variants are identified by being aligned to the same “pivot” name in another language (the source-language in Machine Translation settings. Based on word-to-word translation and transliteration probabilities, as well as the string edit distance metric, names with similar spellings in the target language are clustered and then normalized to a canonical form. With this approach, tens of thousands of high-precision name transliteration spelling variants are extracted from sentence-aligned bilingual corpora in Arabic and English (in both languages. When these normalized name spelling variants are applied to Information Extraction tasks, improvements over strong baseline systems are observed. When applied to Machine Translation tasks, a large improvement potential is shown.

  4. Statistical Machine Translation Features with Multitask Tensor Networks

    OpenAIRE

    Setiawan, Hendra; Huang, Zhongqiang; Devlin, Jacob; Lamar, Thomas; Zbib, Rabih; Schwartz, Richard; Makhoul, John

    2015-01-01

    We present a three-pronged approach to improving Statistical Machine Translation (SMT), building on recent success in the application of neural networks to SMT. First, we propose new features based on neural networks to model various non-local translation phenomena. Second, we augment the architecture of the neural network with tensor layers that capture important higher-order interaction among the network units. Third, we apply multitask learning to estimate the neural network parameters joi...

  5. Neural Networks Classifier for Data Selection in Statistical Machine Translation

    OpenAIRE

    Peris, Álvaro; Chinea-Rios, Mara; Casacuberta, Francisco

    2016-01-01

    We address the data selection problem in statistical machine translation (SMT) as a classification task. The new data selection method is based on a neural network classifier. We present a new method description and empirical results proving that our data selection method provides better translation quality, compared to a state-of-the-art method (i.e., Cross entropy). Moreover, the empirical results reported are coherent across different language pairs.

  6. On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

    OpenAIRE

    Cho, Kyunghyun; van Merrienboer, Bart; Bahdanau, Dzmitry; Bengio, Yoshua

    2014-01-01

    Neural machine translation is a relatively new approach to statistical machine translation based purely on neural networks. The neural machine translation models often consist of an encoder and a decoder. The encoder extracts a fixed-length representation from a variable-length input sentence, and the decoder generates a correct translation from this representation. In this paper, we focus on analyzing the properties of the neural machine translation using two models; RNN Encoder--Decoder and...

  7. Foreign Developments in Information Processing and Machine Translation

    Science.gov (United States)

    2007-11-02

    on developments in the following fields of language data processing: Machine translation studies; questions on structural linguistics, phonological ...34katakana" or in phonetic syllables without the use of any "kanji" or Chinese characters, the "kun"- pronunciation of Chinese characters was adopted as

  8. Human in the Loop Machine Translation of Medical Terminology

    Science.gov (United States)

    2010-04-01

    March 30–31, 2009, http://www.aclweb.org/anthology/W/W09/W09-0x24. 3. Chiang, D.; Lopez, A.; Madnani, N.; Monz, C.; Resnik , P.; Subotin, M. The Hiero... Resnik , P. S. Machine Translation by Pattern Matching; University of Maryland at College Park, College Park, MD, 2008, ISBN: 978-0-549-57255-8

  9. Translating DVD Subtitles English-German, English-Japanese, Using Example-based Machine Translation

    DEFF Research Database (Denmark)

    Armstrong, Stephen; Caffrey, Colm; Flanagan, Marian

    2006-01-01

    Due to limited budgets and an ever-diminishing time-frame for the production of subtitles for movies released in cinema and DVD, there is a compelling case for a technology-based translation solution for subtitles. In this paper we describe how an Example-Based Machine Translation (EBMT) approach...... to the translation of English DVD subtitles into German and Japanese can aid the subtitler. Our research focuses on an EBMT tool that produces fully automated translations, which in turn can be edited if required. To our knowledge this is the first time that any EBMT approach has been used with DVD subtitle...

  10. JTEC panel report on machine translation in Japan

    Science.gov (United States)

    Carbonell, Jaime; Rich, Elaine; Johnson, David; Tomita, Masaru; Vasconcellos, Muriel; Wilks, Yorick

    1992-01-01

    The goal of this report is to provide an overview of the state of the art of machine translation (MT) in Japan and to provide a comparison between Japanese and Western technology in this area. The term 'machine translation' as used here, includes both the science and technology required for automating the translation of text from one human language to another. Machine translation is viewed in Japan as an important strategic technology that is expected to play a key role in Japan's increasing participation in the world economy. MT is seen in Japan as important both for assimilating information into Japanese as well as for disseminating Japanese information throughout the world. Most of the MT systems now available in Japan are transfer-based systems. The majority of them exploit a case-frame representation of the source text as the basis of the transfer process. There is a gradual movement toward the use of deeper semantic representations, and some groups are beginning to look at interlingua-based systems.

  11. Grammatical Metaphor, Controlled Languageand Machine Translation

    DEFF Research Database (Denmark)

    Møller, Margrethe

    2003-01-01

    , syntactic and pragmatic restrictions on the writing style of the author. We will focus on syntactic restrictions and investigate whether a writing style in which various forms of grammatical metaphors have been dissolved in order to make the text more accessible to human readers, will in fact make the texts...... more suitable for MT. The basis of our investigation is a small corpus of English LSP texts that have been evaluated regarding their accessibility and acceptability by human users. The MT-system we will introduce as an additional "user" of the texts is the English-Danish prototype of the Comprendium MT-system....

  12. Improving the quality of automated DVD subtitles via example-based machine translation

    DEFF Research Database (Denmark)

    Armstrong, Stephen; Caffrey, Colm; Flanagan, Marian

    Denoual (2005) discovered that, contrary to popular belief, an Example-Based Machine Translation system trained on heterogeneous data produced significantly better results than a system trained on homogeneous data. Using similar evaluation metrics and a few additional ones, in this paper we show ...

  13. Building a Large-Scale Knowledge Base for Machine Translation

    CERN Document Server

    Knight, K; Knight, Kevin; Luk, Steve K.

    1994-01-01

    Knowledge-based machine translation (KBMT) systems have achieved excellent results in constrained domains, but have not yet scaled up to newspaper text. The reason is that knowledge resources (lexicons, grammar rules, world models) must be painstakingly handcrafted from scratch. One of the hypotheses being tested in the PANGLOSS machine translation project is whether or not these resources can be semi-automatically acquired on a very large scale. This paper focuses on the construction of a large ontology (or knowledge base, or world model) for supporting KBMT. It contains representations for some 70,000 commonly encountered objects, processes, qualities, and relations. The ontology was constructed by merging various online dictionaries, semantic networks, and bilingual resources, through semi-automatic methods. Some of these methods (e.g., conceptual matching of semantic taxonomies) are broadly applicable to problems of importing/exporting knowledge from one KB to another. Other methods (e.g., bilingual match...

  14. Countability and Number in Japanese-to-English Machine Translation

    CERN Document Server

    Bond, F; Ikehara, S; Bond, Francis; Ogura, Kentaro; Ikehara, Satoru

    1994-01-01

    This paper presents a heuristic method that uses information in the Japanese text along with knowledge of English countability and number stored in transfer dictionaries to determine the countability and number of English noun phrases. Incorporating this method into the machine translation system ALT-J/E, helped to raise the percentage of noun phrases generated with correct use of articles and number from 65% to 73%.

  15. Machinability evaluation of machinable ceramics with fuzzy theory

    Institute of Scientific and Technical Information of China (English)

    YU Ai-bing; ZHONG Li-jun; TAN Ye-fa

    2005-01-01

    The property parameters and machining output parameters were selected for machinability evaluation of machinable ceramics. Based on fuzzy evaluation theory, two-stage fuzzy evaluation approach was applied to consider these parameters. Two-stage fuzzy comprehensive evaluation model was proposed to evaluate machinability of machinable ceramic materials. Ce-ZrO2/CePO4 composites were fabricated and machined for evaluation of machinable ceramics. Material removal rates and specific normal grinding forces were measured. The parameters concerned with machinability were selected as alternative set. Five grades were chosen for the machinability evaluation of machnable ceramics. Machinability grades of machinable ceramics were determined through fuzzy operation. Ductile marks are observed on Ce-ZrO2/CePO4 machined surface. Five prepared Ce-ZrO2/CePO4 composites are classified as three machinability grades according to the fuzzy comprehensive evaluation results. The machinability grades of Ce-ZrO2/CePO4 composites are concerned with CePO4 content.

  16. Analysis of MultiWord Expression Translation Errors in Statistical Machine Translation

    DEFF Research Database (Denmark)

    Klyueva, Natalia; Liyanapathirana, Jeevanthi

    2015-01-01

    In this paper, we analyse the usage of multiword expressions (MWE) in Statistical Machine Translation (SMT). We exploit the Moses SMT toolkit to train models for French-English and Czech-Russian language pairs. For each language pair, two models were built: a baseline model without additional MWE...

  17. RM-structure alignment based statistical machine translation model

    Institute of Scientific and Technical Information of China (English)

    Sun Jiadong; Zhao Tiejun

    2008-01-01

    A novel model based on structure alignments is proposed for statistical machine translation in this paper.Meta-structure and sequence of meta-structure for a parse tree are defined.During the translation process, a parse tree is decomposed to deal with the structure divergence and the alignments can be constructed at different levels of recombination of meta-structure (RM).This method can perform the structure mapping across the sub-tree structure between languages.As a result, we get not only the translation for the target language, but sequence of meta-structure of its parse tree at the same time.Experiments show that the model in the framework of log-linear model has better generative ability and significantly outperforms Pharaoh, a phrase-based system.

  18. Machine Translation Approaches and Survey for Indian Languages

    OpenAIRE

    Khan, Nadeem Jadoon; Anwar, Waqas; Durrani, Nadir

    2017-01-01

    In this study, we present an analysis regarding the performance of the state-of-art Phrase-based Statistical Machine Translation (SMT) on multiple Indian languages. We report baseline systems on several language pairs. The motivation of this study is to promote the development of SMT and linguistic resources for these language pairs, as the current state-of-the-art is quite bleak due to sparse data resources. The success of an SMT system is contingent on the availability of a large parallel c...

  19. Classifiers in Japanese-to-English Machine Translation

    CERN Document Server

    Bond, F; Ikehara, S; Bond, Francis; Ogura, Kentaro; Ikehara, Satoru

    1996-01-01

    This paper proposes an analysis of classifiers into four major types: UNIT, METRIC, GROUP and SPECIES, based on properties of both Japanese and English. The analysis makes possible a uniform and straightforward treatment of noun phrases headed by classifiers in Japanese-to-English machine translation, and has been implemented in the MT system ALT-J/E. Although the analysis is based on the characteristics of, and differences between, Japanese and English, it is shown to be also applicable to the unrelated language Thai.

  20. Topic-aware pivot language approach for statistical machine translation

    Institute of Scientific and Technical Information of China (English)

    Jin-song SU; Xiao-dong SHI; Yan-zhou HUANG; Yang LIU; Qing-qiang WU; Yi-dong CHEN; Huai-lin DONG

    2014-01-01

    The pivot language approach for statistical machine translation (SMT) is a good method to break the resource bottleneck for certain language pairs. However, in the implementation of conventional approaches, pivot-side context information is far from fully utilized, resulting in erroneous estimations of translation probabilities. In this study, we propose two topic-aware pivot language approaches to use different levels of pivot-side context. The fi rst method takes advantage of document-level context by assuming that the bridged phrase pairs should be similar in the document-level topic distributions. The second method focuses on the effect of local context. Central to this approach are that the phrase sense can be refl ected by local context in the form of probabilistic topics, and that bridged phrase pairs should be compatible in the latent sense distributions. Then, we build an interpolated model bringing the above methods together to further enhance the system performance. Experimental results on French-Spanish and French-German translations using English as the pivot language demonstrate the effectiveness of topic-based context in pivot-based SMT.

  1. Advances in Fully-Automatic and Interactive Phrase-Based Statistical Machine Translation

    OpenAIRE

    Ortiz Martínez, Daniel

    2011-01-01

    This thesis presents different contributions in the fields of fully-automatic statistical machine translation and interactive statistical machine translation. In the field of statistical machine translation there are three problems that are to be addressed, namely, the modelling problem, the training problem and the search problem. In this thesis we present contributions regarding these three problems. Regarding the modelling problem, an alternative derivation of phrase-based s...

  2. ScaleMT: a free/open-source framework for building scalable machine translation web services

    OpenAIRE

    Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio

    2009-01-01

    Machine translation web services usage is growing amazingly mainly because of the translation quality and reliability of the service provided by the Google Ajax Language API. To allow the open-source machine ranslation projects to compete with Google’s one and gain visibility on the internet, we have developed ScaleMT: a free/open-source framework that exposes existing machine translation engines as public web services. This framework is highly scalable as it can run coordinately on many serv...

  3. A discourse based approach in text-based machine translation

    CERN Document Server

    Ullah, Sana; Kwak, Kyung Sup

    2009-01-01

    This paper presents a theoretical research based approach to ellipsis resolution in machine translation. Moreover, the formula of discourse is applied in order to resolve ellipses. The validity of the discourse formula is analyzed by applying it to the real world text i.e. newspaper fragments. The source text is converted into mono-sentential discourses where complex discourses require further dissection either directly into primitive discourses or first into compound discourses and later into primitive ones. The procedure of dissection needs further improvement i.e. discovering as many primitive discourse forms as possible [1]. This work is further improvement to the concepts presented by Khan (Khan, 1995). Likewise, an attempt has been made to investigate new primitive discourses i.e. patterns from the given text.

  4. Machine Translation as a complex system, and the phenomenon of Esperanto

    NARCIS (Netherlands)

    Gobbo, F.

    2015-01-01

    The history of machine translation and the history of Esperanto have long been connected, as they are two different ways to deal with the same problem: the problem of communication across language barriers. Language can be considered a Complex Adaptive System (CAS), and machine translation too. In f

  5. Exploring the Further Integration of Machine Translation in English-Chinese Cross Language Information Access

    Science.gov (United States)

    Wu, Dan; He, Daqing

    2012-01-01

    Purpose: This paper seeks to examine the further integration of machine translation technologies with cross language information access in providing web users the capabilities of accessing information beyond language barriers. Machine translation and cross language information access are related technologies, and yet they have their own unique…

  6. Impact of Machine-Translated Text on Entity and Relationship Extraction

    Science.gov (United States)

    2014-12-01

    Impact of Machine-Translated Text on Entity and Relationship Extraction by Mark R Mittrick and John T Richardson ARL-TN-0649 December...2014 Impact of Machine-Translated Text on Entity and Relationship Extraction Mark R Mittrick and John T Richardson Computational and...

  7. Machine Translation as a complex system, and the phenomenon of Esperanto

    NARCIS (Netherlands)

    Gobbo, F.

    2015-01-01

    The history of machine translation and the history of Esperanto have long been connected, as they are two different ways to deal with the same problem: the problem of communication across language barriers. Language can be considered a Complex Adaptive System (CAS), and machine translation too. In f

  8. Adaptation of machine translation for multilingual information retrieval in the medical domain.

    Science.gov (United States)

    Pecina, Pavel; Dušek, Ondřej; Goeuriot, Lorraine; Hajič, Jan; Hlaváčová, Jaroslava; Jones, Gareth J F; Kelly, Liadh; Leveling, Johannes; Mareček, David; Novák, Michal; Popel, Martin; Rosa, Rudolf; Tamchyna, Aleš; Urešová, Zdeňka

    2014-07-01

    We investigate machine translation (MT) of user search queries in the context of cross-lingual information retrieval (IR) in the medical domain. The main focus is on techniques to adapt MT to increase translation quality; however, we also explore MT adaptation to improve effectiveness of cross-lingual IR. Our MT system is Moses, a state-of-the-art phrase-based statistical machine translation system. The IR system is based on the BM25 retrieval model implemented in the Lucene search engine. The MT techniques employed in this work include in-domain training and tuning, intelligent training data selection, optimization of phrase table configuration, compound splitting, and exploiting synonyms as translation variants. The IR methods include morphological normalization and using multiple translation variants for query expansion. The experiments are performed and thoroughly evaluated on three language pairs: Czech-English, German-English, and French-English. MT quality is evaluated on data sets created within the Khresmoi project and IR effectiveness is tested on the CLEF eHealth 2013 data sets. The search query translation results achieved in our experiments are outstanding - our systems outperform not only our strong baselines, but also Google Translate and Microsoft Bing Translator in direct comparison carried out on all the language pairs. The baseline BLEU scores increased from 26.59 to 41.45 for Czech-English, from 23.03 to 40.82 for German-English, and from 32.67 to 40.82 for French-English. This is a 55% improvement on average. In terms of the IR performance on this particular test collection, a significant improvement over the baseline is achieved only for French-English. For Czech-English and German-English, the increased MT quality does not lead to better IR results. Most of the MT techniques employed in our experiments improve MT of medical search queries. Especially the intelligent training data selection proves to be very successful for domain adaptation of

  9. Knowledge Translation: Implications for Evaluation

    Science.gov (United States)

    Davison, Colleen M.

    2009-01-01

    Translation theory originates in the field of applied linguistics and communication. The term knowledge translation has been adopted in health and other fields to refer to the exchange, synthesis, and application of knowledge. The logic model is a circular or iterative loop among various knowledge translation actors (knowledge producers and users)…

  10. Translation Evaluation: A Comparative Study of an Oblique Translation

    Directory of Open Access Journals (Sweden)

    / Esmail Zare Behtash

    2017-06-01

    Full Text Available Translation is of an absolute necessity in today’s world. Robinson (1997 states that the study of translation is an integral part of intercultural relations and of conveying scientific and technological knowledge. He further mentions that “translators need to be able to process linguistic materials quickly and efficiently; but they also need to be able to recognize problem areas and to slow down to solve them in complex analytical ways” (p. 2. This study is an attempt to explore and evaluate an oblique translation of a text from English into Persian to find the most frequent translation strategy. To reach the goal of the study, the researchers selected one hundred and ten sentences of an original English text which had been translated freely at random and compared them with their Persian counterparts. The findings of the study indicated that Persian translator used equivalent strategy with the highest percentage (45% in the translated corpus. After that, modulation, and transposition had the highest percentages respectively.

  11. Functional Correspondence between Evaluators and Abstract Machines

    DEFF Research Database (Denmark)

    Ager, Mads Stig; Biernacki, Dariusz; Danvy, Olivier

    2003-01-01

    We bridge the gap between functional evaluators and abstract machines for the λ-calculus, using closure conversion, transformation into continuation-passing style, and defunctionalization.We illustrate this approach by deriving Krivine's abstract machine from an ordinary call-by-name evaluator...... and by deriving an ordinary call-by-value evaluator from Felleisen et al.'s CEK machine. The first derivation is strikingly simpler than what can be found in the literature. The second one is new. Together, they show that Krivine's abstract machine and the CEK machine correspond to the call-by-name and call......-by-value facets of an ordinary evaluator for the λ-calculus.We then reveal the denotational content of Hannan and Miller's CLS machine and of Landin's SECD machine. We formally compare the corresponding evaluators and we illustrate some degrees of freedom in the design spaces of evaluators and of abstract...

  12. An Efficient Machine Translation System for English to Indian Languages Using Hybrid Mechanism

    Directory of Open Access Journals (Sweden)

    J. Sangeetha

    2014-08-01

    Full Text Available Machine Translation is an essential approach for localization, and is especially appropriate in a linguistically diversenation like India. Automatic translation between languages which are morphologically rich and syntactically different is generally regarded as a complex task. A number of machine translation systems have been proposed in literature. But, conventional rule-based machine translation system is costly in terms of formulating rules. It introduces inconsistencies, and it is inflexible to be robust. Statistical MT is an approach that automatically attains knowledge from a vast amount of training data. This approach is characterized by the use of machine learning techniques. But, still there is scope for better performance of the system. In this paper, a Hybrid Machine Translation (HMT approach is proposed which is the combination of rule based and statistical technique for translating text from English to Indian languages such as Tamil, Malayalam and Hindi. The rule based machine translation technique, involves the formation of rules which helps to re-order the syntactic structures of the source language sentence along with its dependency information which brings close to the structure of the target sentence. The parser identifies the syntactical elements in English sentences and suggests its Indian languages translation taking into account various grammatical forms of those Indian languages. Context Free Grammars (CFG is used in generation of the language structures, and then the errors in the translated sentences are corrected by applying a statistical technique. Simplifying and segmenting an input language text becomes mandatory in order to improve the machine translation quality. The experimental results show that the proposed approach competes with the machine translation methods reported in the literature and it provides the best translated output in each language.

  13. Domain adaptation of statistical machine translation with domain-focused web crawling.

    Science.gov (United States)

    Pecina, Pavel; Toral, Antonio; Papavassiliou, Vassilis; Prokopidis, Prokopis; Tamchyna, Aleš; Way, Andy; van Genabith, Josef

    In this paper, we tackle the problem of domain adaptation of statistical machine translation (SMT) by exploiting domain-specific data acquired by domain-focused crawling of text from the World Wide Web. We design and empirically evaluate a procedure for automatic acquisition of monolingual and parallel text and their exploitation for system training, tuning, and testing in a phrase-based SMT framework. We present a strategy for using such resources depending on their availability and quantity supported by results of a large-scale evaluation carried out for the domains of environment and labour legislation, two language pairs (English-French and English-Greek) and in both directions: into and from English. In general, machine translation systems trained and tuned on a general domain perform poorly on specific domains and we show that such systems can be adapted successfully by retuning model parameters using small amounts of parallel in-domain data, and may be further improved by using additional monolingual and parallel training data for adaptation of language and translation models. The average observed improvement in BLEU achieved is substantial at 15.30 points absolute.

  14. Domain Adaptation for Machine Translation with Instance Selection

    Directory of Open Access Journals (Sweden)

    Biçici Ergun

    2015-04-01

    Full Text Available Domain adaptation for machine translation (MT can be achieved by selecting training instances close to the test set from a larger set of instances. We consider 7 different domain adaptation strategies and answer 7 research questions, which give us a recipe for domain adaptation in MT. We perform English to German statistical MT (SMT experiments in a setting where test and training sentences can come from different corpora and one of our goals is to learn the parameters of the sampling process. Domain adaptation with training instance selection can obtain 22% increase in target 2-gram recall and can gain up to 3:55 BLEU points compared with random selection. Domain adaptation with feature decay algorithm (FDA not only achieves the highest target 2-gram recall and BLEU performance but also perfectly learns the test sample distribution parameter with correlation 0:99. Moses SMT systems built with FDA selected 10K training sentences is able to obtain F1 results as good as the baselines that use up to 2M sentences. Moses SMT systems built with FDA selected 50K training sentences is able to obtain F1 point better results than the baselines.

  15. Improving a Japanese-Spanish Machine Translation System Using Wikipedia Medical Articles

    Directory of Open Access Journals (Sweden)

    Jessica C. Ramirez

    2015-02-01

    Full Text Available The quality, length and coverage of a parallel corp us are fundamental features in the performance of a Statistical Machine Translation Sy stem (SMT. For some pair of languages there is a considerable lack of resources suitable for Natural Language Processing tasks. This paper introduces a technique for extracting medical information from the Wikipedia page. Using a medical ontological dictionary and then we evaluate on a Japanese-Spanish SMT system. The study shows an increment in the BLEU sc ore.

  16. EXPERIMENTAL EVALUATION OF WEDM MACHINED SURFACE WAVINESS

    Directory of Open Access Journals (Sweden)

    Katerina Mouralova

    2016-10-01

    Full Text Available Wire Electrical Discharge Machining (WEDM an unconventional machining technology which has become indispensable in many industries. The typical morphology of a surface machined using the electrical discharge technology is characterized with a large number of craters caused by electro-spark discharges produced during the machining process. The study deals with an evaluation of the machine parameter setting on the profile parameters of surface waviness on samples made of two metal materials Al 99.5 and Ti-6Al-4V. Attention was also paid to an evaluation of the surface morphology using 3D colour filtered and non-filtered images.

  17. Translation of Untranslatable Words — Integration of Lexical Approximation and Phrase-Table Extension Techniques into Statistical Machine Translation

    Science.gov (United States)

    Paul, Michael; Arora, Karunesh; Sumita, Eiichiro

    This paper proposes a method for handling out-of-vocabulary (OOV) words that cannot be translated using conventional phrase-based statistical machine translation (SMT) systems. For a given OOV word, lexical approximation techniques are utilized to identify spelling and inflectional word variants that occur in the training data. All OOV words in the source sentence are then replaced with appropriate word variants found in the training corpus, thus reducing the number of OOV words in the input. Moreover, in order to increase the coverage of such word translations, the SMT translation model is extended by adding new phrase translations for all source language words that do not have a single-word entry in the original phrase-table but only appear in the context of larger phrases. The effectiveness of the proposed methods is investigated for the translation of Hindi to English, Chinese, and Japanese.

  18. The Dostoevsky Machine in Georgetown: scientific translation in the Cold War.

    Science.gov (United States)

    Gordin, Michael D

    2016-04-01

    Machine Translation (MT) is now ubiquitous in discussions of translation. The roots of this phenomenon - first publicly unveiled in the so-called 'Georgetown-IBM Experiment' on 9 January 1954 - displayed not only the technological utopianism still associated with dreams of a universal computer translator, but was deeply enmeshed in the political pressures of the Cold War and a dominating conception of scientific writing as both the goal of machine translation as well as its method. Machine translation was created, in part, as a solution to a perceived crisis sparked by the massive expansion of Soviet science. Scientific prose was also perceived as linguistically simpler, and so served as the model for how to turn a language into a series of algorithms. This paper follows the rise of the Georgetown program - the largest single program in the world - from 1954 to the (as it turns out, temporary) collapse of MT in 1964.

  19. ADAPTING HYBRID MACHINE TRANSLATION TECHNIQUES FOR CROSS-LANGUAGE TEXT RETRIEVAL SYSTEM

    Directory of Open Access Journals (Sweden)

    P. ISWARYA

    2017-03-01

    Full Text Available This research work aims in developing Tamil to English Cross - language text retrieval system using hybrid machine translation approach. The hybrid machine translation system is a combination of rule based and statistical based approaches. In an existing word by word translation system there are lot of issues and some of them are ambiguity, Out-of-Vocabulary words, word inflections, and improper sentence structure. To handle these issues, proposed architecture is designed in such a way that, it contains Improved Part-of-Speech tagger, machine learning based morphological analyser, collocation based word sense disambiguation procedure, semantic dictionary, and tense markers with gerund ending rules, and two pass transliteration algorithm. From the experimental results it is clear that the proposed Tamil Query based translation system achieves significantly better translation quality over existing system, and reaches 95.88% of monolingual performance.

  20. The Integration of Project-Based Methodology into Teaching in Machine Translation

    Science.gov (United States)

    Madkour, Magda

    2016-01-01

    This quantitative-qualitative analytical research aimed at investigating the effect of integrating project-based teaching methodology into teaching machine translation on students' performance. Data was collected from the graduate students in the College of Languages and Translation, at Imam Muhammad Ibn Saud Islamic University, Riyadh, Saudi…

  1. Integrating source-language context into phrase-based statistical machine translation

    NARCIS (Netherlands)

    Haque, R.; Kumar Naskar, S.; Bosch, A.P.J. van den; Way, A.

    2011-01-01

    The translation features typically used in Phrase-Based Statistical Machine Translation (PB-SMT) model dependencies between the source and target phrases, but not among the phrases in the source language themselves. A swathe of research has demonstrated that integrating source context modelling dire

  2. Machine-Aided Translation: From Terminology Banks to Interactive Translation Systems.

    Science.gov (United States)

    Greenfield, Concetta C.; Serain, Daniel

    The rapid growth of the need for technical translations in recent years has led specialists to utilize computer technology to improve the efficiency and quality of translation. The two approaches considered were automatic translation and terminology banks. Since the results of fully automatic translation were considered unsatisfactory by various…

  3. Extracting Date/Time Expressions in Super-Function Based Japanese-English Machine Translation

    Science.gov (United States)

    Sasayama, Manabu; Kuroiwa, Shingo; Ren, Fuji

    Super-Function Based Machine Translation(SFBMT) which is a type of Example-Based Machine Translation has a feature which makes it possible to expand the coverage of examples by changing nouns into variables, however, there were problems extracting entire date/time expressions containing parts-of-speech other than nouns, because only nouns/numbers were changed into variables. We describe a method for extracting date/time expressions for SFBMT. SFBMT uses noun determination rules to extract nouns and a bilingual dictionary to obtain correspondence of the extracted nouns between the source and the target languages. In this method, we add a rule to extract date/time expressions and then extract date/time expressions from a Japanese-English bilingual corpus. The evaluation results shows that the precision of this method for Japanese sentences is 96.7%, with a recall of 98.2% and the precision for English sentences is 94.7%, with a recall of 92.7%.

  4. Statistical Sign Language Machine Translation: from English written text to American Sign Language Gloss

    CERN Document Server

    Othman, Achraf

    2011-01-01

    This works aims to design a statistical machine translation from English text to American Sign Language (ASL). The system is based on Moses tool with some modifications and the results are synthesized through a 3D avatar for interpretation. First, we translate the input text to gloss, a written form of ASL. Second, we pass the output to the WebSign Plug-in to play the sign. Contributions of this work are the use of a new couple of language English/ASL and an improvement of statistical machine translation based on string matching thanks to Jaro-distance.

  5. Clinical utility of machine learning approaches in schizophrenia: Improving diagnostic confidence for translational neuroimaging

    Directory of Open Access Journals (Sweden)

    Sarina eIwabuchi

    2013-08-01

    Full Text Available Machine-learning approaches are becoming commonplace in the neuroimaging literature as potential diagnostic and prognostic tools for the study of clinical populations. However, very few studies provide clinically informative measures to aid in decision-making and resource allocation. Head-to-head comparison of neuroimaging-based multivariate classifiers is an essential first step to promote translation of these tools to clinical practice. We systematically evaluated the classifier performance using back-to-back structural MRI in two field strengths (3-Tesla and 7-Tesla to discriminate patients with schizophrenia (n=19 from healthy controls (n=20. Grey (GM and white matter (WM images were used as inputs into a support vector machine (SVM to classify patients and control subjects. 7T classifiers outperformed the 3T classifiers with accuracy reaching as high as 77% for the 7T GM classifier compared to 66.6% for the 3T GM classifier. Furthermore, diagnostic odds ratio (a measure that is not affected by variations in sample characteristics and number needed to predict (a measure based on Bayesian certainty of a test result indicated superior performance of the 7T classifiers, whereby for each correct diagnosis made, the number of patients that need to be examined using the 7T GM classifier was one less than the number that need to be examined if a different classifier was used. Using a hypothetical example, we highlight how these findings could have significant implications for clinical decision-making. We encourage the reporting of measures proposed here in future studies utilizing machine-learning approaches. This will not only promote the search for an optimum diagnostic tool but also aid in the translation of neuroimaging to clinical use.

  6. 互联网机器翻译%Web-based Machine Translation

    Institute of Scientific and Technical Information of China (English)

    王海峰; 吴华; 刘占一

    2011-01-01

    该文在回顾机器翻译发展的基础上,总结了主要的机器翻译方法,并主要阐述互联网机器翻译的特点及面临的挑战.面向互联网机器翻译的应用需求,并针对互联网资源具有海量、高噪声、时效性、稀疏的特点,提出了多策略混合翻译方法、资源挖掘和过滤以及分布式处理技术、领域自适应技术,针对数据稀疏论述枢轴语言技术和新语种快速部署技术;然后结合翻译与搜索技术,阐述翻译个性化特点和方案.最后,论述机器翻译技术和产品的应用.%This paper digs into the characteristics and challenges of web-based machine translation, and proposes possible solutions. First of all, we look back on the history of machine translation and summarize its methods. Next, we analyze the characteristics of internet bilingual corpora and monolingual corpora as: large scale, with lots of noise, real-time and sometimes sparse. Based on the features described above, we propose the hybrid machine translation method, corpus mining and filtering methods, and distributed computing methods. Furthermore, the pivot language approach is adopted to tackle the data sparseness problem, thus enabling the quick development of multilingual machine translation systems. We then discuss the approach to support the personalization of machine translation via the combination of translation technology and search technology. Finally the applications and products of machine translation technology are presented.

  7. Predicting post-translational lysine acetylation using support vector machines

    DEFF Research Database (Denmark)

    Gnad, Florian; Ren, Shubin; Choudhary, Chunaram

    2010-01-01

    spectrometry to identify 3600 lysine acetylation sites on 1750 human proteins covering most of the previously annotated sites and providing the most comprehensive acetylome so far. This dataset should provide an excellent source to train support vector machines (SVMs) allowing the high accuracy in silico...

  8. Developing Evaluation Skills with Legal Translation Trainees

    Directory of Open Access Journals (Sweden)

    Vîlceanu Titela

    2015-12-01

    Full Text Available Axiomatically, translation is twofold: an activity/process (more accurately designated by the term translating and a product (the term translation can be restricted to the product. It seems that the product dimension has gained increased importance, being the most visible part of translation as market-driven, design-oriented, precise and measurable - complying with specifications. Translation engenders a sequence: identification of text type and of end users’ needs (experts or non-experts in the field, evaluation of the complexity of the source text via global reading, followed by a close reading of its parts, the translating of the document, the translator’s checking of final version, editing and proofreading. The translator’s choices are accountable in point of cost-effectiveness (efficiency and effectiveness. Therefore, the legal translator should master the methodological toolkit, conceptual frame and related terminology, and adopt an inward-looking perspective (intuition, subjectivity, ingrained habits, insights deriving from his/her expertise and experience alongside an outward-looking one (working against objective criteria, standards of quality, benchmarks, etc.

  9. Comparison of Parallel Kinematic Machines with Three Translational Degrees of Freedom and Linear Actuation

    Institute of Scientific and Technical Information of China (English)

    PRAUSE Isabel; CHARAF EDDINE Sami; CORVES Burkhard

    2015-01-01

    The development of new robot structures, in particular of parallel kinematic machines(PKM), is widely systematized by different structure synthesis methods. Recent research increasingly focuses on PKM with less than six degrees of freedom(DOF). However, an overall comparison and evaluation of these structures is missing. In order to compare symmetrical PKM with three translational DOF, different evaluation criteria are used. Workspace, maximum actuation forces and velocities, power, actuator stiffness, accuracy and transmission behavior are taken into account to investigate strengths and weaknesses of the PKMs. A selection scheme based on possible configurations of translational PKM including different frame configurations is presented. Moreover, an optimization method based on a genetic algorithm is described to determine the geometric parameters of the selected PKM for an exemplary load case and a prescribed workspace. The values of the mentioned criteria are determined for all considered PKM with respect to certain boundary conditions. The distribution and spreading of these values within the prescribed workspace is presented by using box plots for each criterion. Thereby, the performance characteristics of the different structures can be compared directly. The results show that there is no“best”PKM. Further inquiries such as dynamic or stiffness analysis are necessary to extend the comparison and to finally select a PKM.

  10. Self-Organizing Machine Translation Example-Driven Induction of Transfer Functions

    CERN Document Server

    Juola, P

    1994-01-01

    With the advent of faster computers, the notion of doing machine translation from a huge stored database of translation examples is no longer unreasonable. This paper describes an attempt to merge the Example-Based Machine Translation (EBMT) approach with psycholinguistic principles. A new formalism for context- free grammars, called *marker-normal form*, is demonstrated and used to describe language data in a way compatible with psycholinguistic theories. By embedding this formalism in a standard multivariate optimization framework, a system can be built that infers correct transfer functions for a set of bilingual sentence pairs and then uses those functions to translate novel sentences. The validity of this line of reasoning has been tested in the development of a system called METLA-1. This system has been used to infer English->French and English->Urdu transfer functions from small corpora. The results of those experiments are examined, both in engineering terms as well as in more linguistic terms. In ge...

  11. A Lexical Conceptual Approach to Generation for Machine Translation

    Science.gov (United States)

    1988-01-01

    etc.). Once a verb has been selected to translate the predicate, the semantic arguments of the deep structure are filled with the instantiated...8217strid iii ts oft it, argumtents. Two examples are t he E nglish words shish and stil ilr: (4) (i) He slashed the woman * ’Dio cuchilladas a la mujer ...are simplified once rules and general inferencing are eliminated: LCS and $-role mappings obviate the need for complicated network searches and rule

  12. Climbing the Tower of Babel: Perfecting Machine Translation

    Science.gov (United States)

    2011-02-16

    Peter Norvig , and Fernando Pereira, "The Unreasonable Effectiveness of Data," IEEE Intelligence Systems, (2009): 8. So, this [trillion-word] corpus...Alon Halevy, Peter Norvig , and Fernando Pereira, Google assisted translation? Some experts believe technology can develop MT capabilities with...recognition.htm (accessed 28 September 2010). Halevy, Alon, Peter Norvig , and Fernando Pereira. "The Unreasonable Effectiveness of Data." IEEE

  13. Hindi to English Transfer Based Machine Translation System

    Directory of Open Access Journals (Sweden)

    Shashi Pal Singh

    2015-06-01

    Full Text Available In large societies like India there is a huge demand to convert one human language into another. Lots of work has been done in this area. Many transfer based MTS have developed for English to other languages, as MANTRA CDAC Pune, MATRA CDAC Pune, SHAKTI IISc Bangalore and IIIT Hyderabad. Still there is a little work done for Hindi to other languages. Currently we are working on it. In this paper we focus on designing a system, that translate the document from Hindi to English by using transfer based approach. This system takes an input text check its structure through parsing. Reordering rules are used to generate the text in target language. It is better than Corpus Based MTS because Corpus Based MTS require large amount of word aligned data for translation that is not available for many languages while Transfer Based MTS requires only knowledge of both the languages (source language and target language to make transfer rules. We get correct translation for simple assertive sentences and almost correct for complex and compound sentences.

  14. English-Lithuanian-English Machine Translation lexicon and engine: current state and future work

    CERN Document Server

    Barisevičius, G

    2011-01-01

    This article overviews the current state of the English-Lithuanian-English machine translation system. The first part of the article describes the problems that system poses today and what actions will be taken to solve them in the future. The second part of the article tackles the main issue of the translation process. Article briefly overviews the word sense disambiguation for MT technique using Google.

  15. An open-source highly scalable web service architecture for the Apertium machine translation engine

    OpenAIRE

    Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio

    2009-01-01

    Some machine translation services like Google Ajax Language API have become very popular as they make the collaboratively created contents of the web 2.0 available to speakers of many languages. One of the keys of its success is its clear and easy-to-use application programming interface (API) and a scalable and reliable service. This paper describes a highly scalable implementation of an Apertium-based translation web service, that aims to make contents available to speakers of lesser resour...

  16. ANALYTICAL MODEL OF CALCULUS FOR INFLUENCE THE TRANSLATION GUIDE WEAR OVER THE MACHINING ACCURACY ON THE MACHINE TOOL

    Directory of Open Access Journals (Sweden)

    Ivona PETRE

    2010-10-01

    Full Text Available The wear of machine tools guides influences favorably to vibrations. As a result of guides wear, the initial trajectory of cutting tools motion will be modified, the generating dimensional accuracy discrepancies and deviations of geometrical shape of the work pieces. As it has already been known, the wear of mobile and rigid guides is determined by many parameters (pressure, velocity, friction length, lubrication, material. The choice of one or another analytic model and/or the experimental model of the wear is depending by the working conditions, assuming that the coupling material is known.The present work’s goal is to establish an analytic model of calculus showing the influence of the translation guides wear over the machining accuracy on machine-tools.

  17. A Reordering Model Using a Source-Side Parse-Tree for Statistical Machine Translation

    Science.gov (United States)

    Hashimoto, Kei; Yamamoto, Hirofumi; Okuma, Hideo; Sumita, Eiichiro; Tokuda, Keiichi

    This paper presents a reordering model using a source-side parse-tree for phrase-based statistical machine translation. The proposed model is an extension of IST-ITG (imposing source tree on inversion transduction grammar) constraints. In the proposed method, the target-side word order is obtained by rotating nodes of the source-side parse-tree. We modeled the node rotation, monotone or swap, using word alignments based on a training parallel corpus and source-side parse-trees. The model efficiently suppresses erroneous target word orderings, especially global orderings. Furthermore, the proposed method conducts a probabilistic evaluation of target word reorderings. In English-to-Japanese and English-to-Chinese translation experiments, the proposed method resulted in a 0.49-point improvement (29.31 to 29.80) and a 0.33-point improvement (18.60 to 18.93) in word BLEU-4 compared with IST-ITG constraints, respectively. This indicates the validity of the proposed reordering model.

  18. Web-Based Machine Translation as a Tool for Promoting Electronic Literacy and Language Awareness

    Science.gov (United States)

    Williams, Lawrence

    2006-01-01

    This article addresses a pervasive problem of concern to teachers of many foreign languages: the use of Web-Based Machine Translation (WBMT) by students who do not understand the complexities of this relatively new tool. Although networked technologies have greatly increased access to many language and communication tools, WBMT is still…

  19. Four Generations of Machine Translation Research and Prospects for the Future.

    Science.gov (United States)

    Wilks, Yorick

    This paper begins with a description of four generations of research in machine translation: the original efforts of 1957 to 1965 and three types of surviving and sometimes competing present projects. The three types of present projects include those relying on "brute force" methods involving larger and faster computers; those based on a…

  20. Development of Chinese-English Machine Translation System. Fnal Technical Report.

    Science.gov (United States)

    Wang, William S-Y; Chan, Stephen W.

    The report documents progress and results of a 2-1/3 year effort to further the prototype Chinese-English Machine Translation System. Additional rules were incorporated into the existing grammar for Chinese analysis and interlingual transfer, with emphasis on the latter. CHIDIC was updated and revised. Approximately 16,000 new entries were added…

  1. Finding Translation Examples for Under-Resourced Language Pairs or for Narrow Domains; the Case for Machine Translation

    Directory of Open Access Journals (Sweden)

    Dan Tufis

    2012-07-01

    Full Text Available The cyberspace is populated with valuable information sources, expressed in about 1500 different languages and dialects. Yet, for the vast majority of WEB surfers this wealth of information is practically inaccessible or meaningless. Recent advancements in cross-lingual information retrieval, multilingual summarization, cross-lingual question answering and machine translation promise to narrow the linguistic gaps and lower the communication barriers between humans and/or software agents. Most of these language technologies are based on statistical machine learning techniques which require large volumes of cross lingual data. The most adequate type of cross-lingual data is represented by parallel corpora, collection of reciprocal translations. However, it is not easy to find enough parallel data for any language pair might be of interest. When required parallel data refers to specialized (narrow domains, the scarcity of data becomes even more acute. Intelligent information extraction techniques from comparable corpora provide one of the possible answers to this lack of translation data.

  2. Translation of Pronominal Anaphora between English and Spanish: Discrepancies and Evaluation

    CERN Document Server

    Ferrandez, A; 10.1613/jair.1115

    2011-01-01

    This paper evaluates the different tasks carried out in the translation of pronominal anaphora in a machine translation (MT) system. The MT interlingua approach named AGIR (Anaphora Generation with an Interlingua Representation) improves upon other proposals presented to date because it is able to translate intersentential anaphors, detect co-reference chains, and translate Spanish zero pronouns into English---issues hardly considered by other systems. The paper presents the resolution and evaluation of these anaphora problems in AGIR with the use of different kinds of knowledge (lexical, morphological, syntactic, and semantic). The translation of English and Spanish anaphoric third-person personal pronouns (including Spanish zero pronouns) into the target language has been evaluated on unrestricted corpora. We have obtained a precision of 80.4% and 84.8% in the translation of Spanish and English pronouns, respectively. Although we have only studied the Spanish and English languages, our approach can be easil...

  3. An overview of the EtsaTrans machine translation system: compilation of an administrative domain

    Directory of Open Access Journals (Sweden)

    L. Ehlers

    2008-07-01

    Full Text Available The EtsaTrans machine translation system has been in development at the University of the Free State for the last four years and is currently the only machine translation system being developed in South Africa for specialised and nongeneral translation needs. The purpose of this exposition is to present the program through its phases of development, and to report on current levels of performance. We analyse the output, the size of the database, and then propose the future implementation of a part of speech tagger and word stemmer into the program to improve its linguistic performance. Our goal with the system is not to translate all types of document, but to work in a specialised domain that will allow the system to translate documents that are repetitive in nature. This will enable translators to spend more time on non-repetitive subject matter. By capturing the nature of the language of such repetitive documents in the database, we are able to create a standardised language usage for the specialised domain.

  4. On the application of AntConc in pre-translation of machine translation

    Institute of Scientific and Technical Information of China (English)

    王培; 赵茫茫

    2016-01-01

    This article introduces the application of a green software of corpus tool named AntConc. The article mainly focuses on its glossary function, analysis of frequency and concordance of lexical chunks, which makes the translation work more formal and standard.

  5. Translation Training in the Jordanian Context: Curriculum Evaluation in Translator Education

    Science.gov (United States)

    Mahasneh, Anjad

    2013-01-01

    This study aims at drawing a clear picture of translator training in Jordan through the evaluation of translation programs at the Master's level. The framework of the Context, Input, Process, and Product components of the CIPP evaluation model developed by Daniel Stufflebeam in 1971 was used to evaluate the three translation Master's programs at…

  6. Electrical machine PWM loss evaluation basics

    Energy Technology Data Exchange (ETDEWEB)

    Ruderman, A. [The School of Engineering, Bar-Ilan Univ., Ramat-Gan (Israel); Welch, R. Jr. [IEEE, Welch Enterprise, Oakdale (United States)

    2005-07-01

    Modern power converters utilize pulse-width modulation (PWM) voltage control. Output voltage high frequency harmonics induce additional electrical machine loss. As there is no accepted PWM loss theory, PWM loss is usually accounted for by machine power de-rating. In-depth understanding of PWM loss mechanisms is important for predicting losses and improving energy efficiency of electrical machines. In this paper we suggest a new time domain PWM loss approach. It assumes that PWM eddy current iron loss dominates over PWM copper and hysteresis iron losses and comprises theoretical normalized PWM loss evaluation and experimental characterization. Once maximal PWM loss is measured, it can be scaled for an arbitrary operating point using simple formula. Theoretical results are shown to be in a good agreement with a published experimental data. (orig.)

  7. Handbook of natural language processing and machine translation DARPA global autonomous language exploitation

    CERN Document Server

    Olive, Joseph P; McCary, John

    2011-01-01

    This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program - The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation. The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research pro

  8. Terminology and French-Spanish business translation: evaluating terminology resources for the translation of accounting documents

    OpenAIRE

    2014-01-01

    The aim of this paper is to evaluate a series of terminology resources and determine their suitability to the practice of French-Spanish translation of accounting documents. First we identify the terminology needs of a specific group of translator trainees when facing business translation, as well as the resources they use particularly when translating annual accounts. Then, we select various terminology resources used in this context and evaluate them according to their needs. The results su...

  9. Myanmar-English Bidirectional Machine Translation System with Numerical Particles Identification

    Directory of Open Access Journals (Sweden)

    Yin Yin Win

    2016-06-01

    Full Text Available This paper the development of MyanmarEnglish bidirectional machine translation system is implemented applying Rule based machine translation approach. Stanford and ML2KR parsers are used for preprocessing step. From this step, parsers generate corresponding parse tree structures. Used parsers generate corresponding CFG rules which are collected and created as synchronous context free grammar SCFG rules. Myanmar language can be written free order style, but it must be verb final structure. Therefore, CFG rules are required for reordering the structure of the two languages. After that tree to tree transformation is carried on the source tree structure which corresponds with used parser (Stanford parser or ML2KR‟s parser. When source parse tree is transformed as target parse tree, it is changed according to the SCFG rules. And then system carries out the morphological synthesis. In this stage, we need to solve only for English to Myanmar machine translation because Myanmar language is morphologically rich language. Therefore, particles for Myanmar language can be solved in this system by proposed algorithm. After finishing morphological synthesis, this system generates meaningful and appropriate smoothing sentences

  10. Pre-editing and Recursive-Phrase Composites for a Better English-to-Arabic Machine Translation

    Directory of Open Access Journals (Sweden)

    Mansoor Al-A'ali

    2007-01-01

    Full Text Available This research presents an approach for an English-to-Arabic Machine Translation System based on Building correct grammar and phrase structures first and then automatically deriving Translation Rules for phrase translation. For every English phrase, the grammar is first analysed and then a corresponding Arabic translation is given which would be used by the machine learning system to produce a translation rule with the help of a dictionary and the user. These same derived rules can partially be used for other phrase sequences especially in the case of a phrase consisting of a number of smaller phrases and thus implemeting the idea of recusive phrase strucutres. The approach was implemented and tested on simple cases and the results are given which indicate that this approach is successful for small to medium phrases. Our approach is an enhancement on existing phrase translation techniques because it analyses the source language grammar first, then builds a syntactic structure before proceeding with the machine learning process of learning the translation rules. Our approach is enhancement on existing phrase based translations in two directions: the grammar editing before the translation rules and the derived translation rules can be complete for complete phrases or are rules for translating smaller phrases which are subsets of larger phrases. The approach has improved the speed and correctness of phrase translations.

  11. Toward an example-based machine translation from written text to ASL using virtual agent animation

    CERN Document Server

    Boulares, Mehrez

    2012-01-01

    Modern computational linguistic software cannot produce important aspects of sign language translation. Using some researches we deduce that the majority of automatic sign language translation systems ignore many aspects when they generate animation; therefore the interpretation lost the truth information meaning. Our goals are: to translate written text from any language to ASL animation; to model maximum raw information using machine learning and computational techniques; and to produce a more adapted and expressive form to natural looking and understandable ASL animations. Our methods include linguistic annotation of initial text and semantic orientation to generate the facial expression. We use the genetic algorithms coupled to learning/recognized systems to produce the most natural form. To detect emotion we are based on fuzzy logic to produce the degree of interpolation between facial expressions. Roughly, we present a new expressive language Text Adapted Sign Modeling Language TASML that describes all ...

  12. A Novel Approach for English to South Dravidian Language Statistical Machine Translation System

    Directory of Open Access Journals (Sweden)

    Unnikrishnan P

    2010-11-01

    Full Text Available Development of a well fledged bilingual machine translation (MT system for any two natural languages with limited electronic resources and tools is a challenging and demanding task. This paper presents the development of a statistical machine translation (SMT system for English to South Dravidian languages like Malayalam and Kannada by incorporating syntactic and morphological information. SMT is a data oriented statistical framework for translating text from one natural language to another based on the knowledge extracted from bilingual corpus. Even though there are efforts towards building such an English to South Dravidian translation system ,unfortunately we do not have an efficient translation system till now. The first and most important step in SMT is creating a well aligned parallel corpus for training the system. Experimental research shows that the existing methodology for bilingual parallel corpus creation is not efficient for English to South Dravidian language in the SMT system. In order toincrease the performance of the translation system, we have introduced a new approach in creating parallel corpus. The mainideas which we have implemented and proven very effective forEnglish to south Dravidian languages SMT system are: (i reordering the English source sentence according to Dravidian syntax, (ii using the root suffix separation on both English and Dravidian words and iii use of morphological information which substantially reduce the corpus size required for training the system. Since the navailability of full fledged parsing and morphological tools for Malayalam and Kannada languages, sentence synthesis was done both manually and existing morph analyzer created by Amrita university. From the experiment we found that the performance of our systems are significantly well and achieves a very competitive accuracy for small sized bilingual corpora. The proposed ideas can be directly used for other south Dravidian languages like Tamil

  13. Our Policies, Their Text: German Language Students' Strategies with and Beliefs about Web-Based Machine Translation

    Science.gov (United States)

    White, Kelsey D.; Heidrich, Emily

    2013-01-01

    Most educators are aware that some students utilize web-based machine translators for foreign language assignments, however, little research has been done to determine how and why students utilize these programs, or what the implications are for language learning and teaching. In this mixed-methods study we utilized surveys, a translation task,…

  14. A Functional Correspondence Between Evaluators and Abstract Machines

    DEFF Research Database (Denmark)

    Ager, Mads Sig; Biernacki, Dariusz; Danvy, Olivier

    2003-01-01

    and by deriving an ordinary call-by-value evaluator from Felleisen et al.'s CEK machine. The first derivation is strikingly simpler than what can be found in the literature. The second one is new. Together, they show that Krivine's abstract machine and the CEK machine correspond to the call-by-name and call......-by-value facets of an ordinary evaluator for the λ-calculus.We then reveal the denotational content of Hannan and Miller's CLS machine and of Landin's SECD machine. We formally compare the corresponding evaluators and we illustrate some degrees of freedom in the design spaces of evaluators and of abstract...

  15. Discriminative feature-rich models for syntax-based machine translation.

    Energy Technology Data Exchange (ETDEWEB)

    Dixon, Kevin R.

    2012-12-01

    This report describes the campus executive LDRD %E2%80%9CDiscriminative Feature-Rich Models for Syntax-Based Machine Translation,%E2%80%9D which was an effort to foster a better relationship between Sandia and Carnegie Mellon University (CMU). The primary purpose of the LDRD was to fund the research of a promising graduate student at CMU; in this case, Kevin Gimpel was selected from the pool of candidates. This report gives a brief overview of Kevin Gimpel's research.

  16. Breaking the language barrier: machine assisted diagnosis using the medical speech translator.

    Science.gov (United States)

    Starlander, Marianne; Bouillon, Pierrette; Rayner, Manny; Chatzichrisafis, Nikos; Hockey, Beth Ann; Isahara, Hitoshi; Kanzaki, Kyoko; Nakao, Yukie; Santaholma, Marianne

    2005-01-01

    In this paper, we describe and evaluate an Open Source medical speech translation system (MedSLT) intended for safety-critical applications. The aim of this system is to eliminate the language barriers in emergency situation. It translates spoken questions from English into French, Japanese and Finnish in three medical subdomains (headache, chest pain and abdominal pain), using a vocabulary of about 250-400 words per sub-domain. The architecture is a compromise between fixed-phrase translation on one hand and complex linguistically-based systems on the other. Recognition is guided by a Context Free Grammar Language Model compiled from a general unification grammar, automatically specialised for the domain. We present an evaluation of this initial prototype that shows the advantages of this grammar-based approach for this particular translation task in term of both reliability and use.

  17. RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation

    Directory of Open Access Journals (Sweden)

    Sánchez-Cartagena Víctor M.

    2016-10-01

    Full Text Available This paper presents ruLearn, an open-source toolkit for the automatic inference of rules for shallow-transfer machine translation from scarce parallel corpora and morphological dictionaries. ruLearn will make rule-based machine translation a very appealing alternative for under-resourced language pairs because it avoids the need for human experts to handcraft transfer rules and requires, in contrast to statistical machine translation, a small amount of parallel corpora (a few hundred parallel sentences proved to be sufficient. The inference algorithm implemented by ruLearn has been recently published by the same authors in Computer Speech & Language (volume 32. It is able to produce rules whose translation quality is similar to that obtained by using hand-crafted rules. ruLearn generates rules that are ready for their use in the Apertium platform, although they can be easily adapted to other platforms. When the rules produced by ruLearn are used together with a hybridisation strategy for integrating linguistic resources from shallow-transfer rule-based machine translation into phrase-based statistical machine translation (published by the same authors in Journal of Artificial Intelligence Research, volume 55, they help to mitigate data sparseness. This paper also shows how to use ruLearn and describes its implementation.

  18. Evaluation of an improved centrifugal casting machine.

    Science.gov (United States)

    Donovan, T E; White, L E

    1985-05-01

    A Type III gold alloy, a silver-palladium alloy, and a base metal alloy were cast in two different centrifugal casting machines. With the number of complete cast mesh squares as an indicator of castability, the Airspin casting machine produced superior castings with all three alloys. The base metal alloy produced the greatest number of complete squares with both casting machines.

  19. Recognizing disguised faces: human and machine evaluation.

    Directory of Open Access Journals (Sweden)

    Tejas Indulal Dhamecha

    Full Text Available Face verification, though an easy task for humans, is a long-standing open research area. This is largely due to the challenging covariates, such as disguise and aging, which make it very hard to accurately verify the identity of a person. This paper investigates human and machine performance for recognizing/verifying disguised faces. Performance is also evaluated under familiarity and match/mismatch with the ethnicity of observers. The findings of this study are used to develop an automated algorithm to verify the faces presented under disguise variations. We use automatically localized feature descriptors which can identify disguised face patches and account for this information to achieve improved matching accuracy. The performance of the proposed algorithm is evaluated on the IIIT-Delhi Disguise database that contains images pertaining to 75 subjects with different kinds of disguise variations. The experiments suggest that the proposed algorithm can outperform a popular commercial system and evaluates them against humans in matching disguised face images.

  20. Possessive Pronouns as Determiners in Japanese-to-English Machine Translation

    CERN Document Server

    Bond, F; Ikehara, S; Bond, Francis; Ogura, Kentaro; Ikehara, Satoru

    1996-01-01

    Possessive pronouns are used as determiners in English when no equivalent would be used in a Japanese sentence with the same meaning. This paper proposes a heuristic method of generating such possessive pronouns even when there is no equivalent in the Japanese. The method uses information about the use of possessive pronouns in English treated as a lexical property of nouns, in addition to contextual information about noun phrase referentiality and the subject and main verb of the sentence that the noun phrase appears in. The proposed method has been implemented in NTT Communication Science Laboratories' Japanese-to-English machine translation system ALT-J/E. In a test set of 6,200 sentences, the proposed method increased the number of noun phrases with appropriate possessive pronouns generated, by 263 to 609, at the cost of generating 83 noun phrases with inappropriate possessive pronouns.

  1. Offering a New Approach for Approximate Pattern Matching in Example-Based Machine Translation

    Directory of Open Access Journals (Sweden)

    Reza Akbari

    2015-01-01

    Full Text Available In this article, a new model is proposed in order to measure the degree of similarity between two sentences in machine translation based on example. The proposed model has applied genetic algorithm beside a new fitness function which is based on semantic load matching between the two sentences. Here, verbs are considered as the heart of a sentence because they are the main part of a sentence and carry the major part of the semantic load in the sentence; therefore more attention is paid to the verbs in the fitness function. It is noteworthy that the proposed model is largely dependent on the verbal part and the extracted synonyms from WordNet as well as the arrangement of words. The results are promising by precision and recall, indicating that the proposed method improves the quality of the retrieved matched sentences.

  2. OxLM: A Neural Language Modelling Framework for Machine Translation

    Directory of Open Access Journals (Sweden)

    Paul Baltescu

    2014-09-01

    Full Text Available This paper presents an open source implementation1 of a neural language model for machine translation. Neural language models deal with the problem of data sparsity by learning distributed representations for words in a continuous vector space. The language modelling probabilities are estimated by projecting a word's context in the same space as the word representations and by assigning probabilities proportional to the distance between the words and the context's projection. Neural language models are notoriously slow to train and test. Our framework is designed with scalability in mind and provides two optional techniques for reducing the computational cost: the so-called class decomposition trick and a training algorithm based on noise contrastive estimation. Our models may be extended to incorporate direct n-gram features to learn weights for every n-gram in the training data. Our framework comes with wrappers for the cdec and Moses translation toolkits, allowing our language models to be incorporated as normalized features in their decoders (inside the beam search.

  3. Toward an example-based machine translation from written text to ASL using virtual agent animation

    Directory of Open Access Journals (Sweden)

    Mehrez Boulares

    2012-01-01

    Full Text Available Modern computational linguistic software cannot produce important aspects of sign language translation. Using some researches we deduce that the majority of automatic sign language translation systems ignore many aspects when they generate animation; therefore the interpretation lost the truth information meaning. This problem is due to sign language consideration as a derivative language, but it is a complete language with its own unique grammar. This grammar is related to semantic-cognitive models of spatially, time, action and facial expression to represent complex information to make sign interpretation more efficiently, smooth, expressive and natural-looking human gestures. All this aspects give us useful insights into the design principles that have evolved in natural communication between people. In this work we are interested in American Sign Language, because it is the simplest and most standardized sign language. Our goals are: to translate written text from any language to ASL animation; to model maximum raw information using machine learning and computational techniques; and to produce a more adapted and expressive form to natural looking and understandable ASL animations. Our methods include linguistic annotation of initial text and semantic orientation to generate the facial expression. We use genetic algorithms coupled to learning/recognized systems to produce the most natural form. To detect emotion we based on fuzzy logic to produce the degree of interpolation between facial expressions. Roughly, we present a new expressive language Text Adapted Sign Modeling Language TASML that describes all maximum aspects related to a good sign language interpretation. This paper is organized as follow: the next section is devoted to present the comprehension effect of using Space/Time/SVO form in ASL animation based on experimentation. In section 3, we describe our technical considerations. We present the general approach we adopted to

  4. Prediction of post-translational modification sites using multiple kernel support vector machine

    Directory of Open Access Journals (Sweden)

    BingHua Wang

    2017-04-01

    Full Text Available Protein post-translational modification (PTM is an important mechanism that is involved in the regulation of protein function. Considering the high-cost and labor-intensive of experimental identification, many computational prediction methods are currently available for the prediction of PTM sites by using protein local sequence information in the context of conserved motif. Here we proposed a novel computational method by using the combination of multiple kernel support vector machines (SVM for predicting PTM sites including phosphorylation, O-linked glycosylation, acetylation, sulfation and nitration. To largely make use of local sequence information and site-modification relationships, we developed a local sequence kernel and Gaussian interaction profile kernel, respectively. Multiple kernels were further combined to train SVM for efficiently leveraging kernel information to boost predictive performance. We compared the proposed method with existing PTM prediction methods. The experimental results revealed that the proposed method performed comparable or better performance than the existing prediction methods, suggesting the feasibility of the developed kernels and the usefulness of the proposed method in PTM sites prediction.

  5. CloudLM: a Cloud-based Language Model for Machine Translation

    Directory of Open Access Journals (Sweden)

    Ferrández-Tordera Jorge

    2016-04-01

    Full Text Available Language models (LMs are an essential element in statistical approaches to natural language processing for tasks such as speech recognition and machine translation (MT. The advent of big data leads to the availability of massive amounts of data to build LMs, and in fact, for the most prominent languages, using current techniques and hardware, it is not feasible to train LMs with all the data available nowadays. At the same time, it has been shown that the more data is used for a LM the better the performance, e.g. for MT, without any indication yet of reaching a plateau. This paper presents CloudLM, an open-source cloud-based LM intended for MT, which allows to query distributed LMs. CloudLM relies on Apache Solr and provides the functionality of state-of-the-art language modelling (it builds upon KenLM, while allowing to query massive LMs (as the use of local memory is drastically reduced, at the expense of slower decoding speed.

  6. Evaluating current processors performance and machines stability

    CERN Document Server

    Esposito, R; Tortone, G; Taurino, F M

    2003-01-01

    Accurately estimate performance of currently available processors is becoming a key activity, particularly in HENP environment, where high computing power is crucial. This document describes the methods and programs, opensource or freeware, used to benchmark processors, memory and disk subsystems and network connection architectures. These tools are also useful to stress test new machines, before their acquisition or before their introduction in a production environment, where high uptimes are requested.

  7. Apertium goes SOA: an efficient and scalable service based on the Apertium rule-based machine translation platform

    OpenAIRE

    Minervini, Pasquale

    2009-01-01

    Service Oriented Architecture (SOA) is a paradigm for organising and using distributed services that may be under the control of different ownership domains and implemented using various technology stacks. In some contexts, an organisation using an IT infrastructure implementing the SOA paradigm can take a great benefit from the integration, in its business processes, of efficient machine translation (MT) services to overcome language barriers. This paper describes the architecture and the de...

  8. Evaluation of machining dispersions for turning process

    CERN Document Server

    Lefebvre, Arnaud

    2008-01-01

    In this article we propose to extend the model of simulation of dispersions in turning based on the geometrical specifications. Our study is articulated around two trends of development: the first trend relates to the geometrical model. The geometrical model suggested must allow a follow-up of the geometry of the part during the simulation of machining. It is thus a question of carrying out a systematic treatment of the whole dimensioning and tolerancing process while being based on the principles of the \\DeltaL method. We also planned to integrate this type of specification in the model of simulation of machining suggested. It is more generally a question of extending the traditional model for better taking into account the multi axis specification of coaxiality and perpendicularity on the turned workpieces. The second trend of our study relates to the widening of the field of application of the model. We propose to extend the field of application of the model by taking into account the modifications of seve...

  9. Practical Evaluation of Stateful NAT64/DNS64 Translation

    Directory of Open Access Journals (Sweden)

    SKOBERNE, N.

    2011-08-01

    Full Text Available It is often suggested that the approach to IPv6 transition is dual-stack deployment; however, it is not feasible in certain environments. As Network Address Translation -- Protocol Translation (NAT-PT has been deprecated, stateful NAT64 and DNS64 RFCs have been published, supporting only IPv6-to-IPv4 translation scenario. Now the question of usability in the real world arises. In this paper, we systematically test a number of widely used application-layer network protocols to find out how well they traverse Ecdysis, the first open source stateful NAT64 and DNS64 implementation. We practically evaluated 18 popular protocols, among them HTTP, RDP, MSNP, and IMAP, and discuss the shortcomings of such translations that might not be apparent at first sight.

  10. Evaluation of Timber Extraction Machines in Turkey

    Directory of Open Access Journals (Sweden)

    Necmettin Senturk

    2005-01-01

    Full Text Available In forestry, like every kind of production, production works require a productive power. This productive power can be provided by both human power or animal and machines which are used by human beings. The production of wood raw material are formed various stages that continues from the productive place to market center. These work stages depend on each other like rings of a chain. Success and failures in each stage effect the next stage. However the increasing of forest product that is formed in our country recently, now hauling has been still made with old patterns, such as sliding, throwing, circling, transport with human, skidding with animals on direct ground. Besides special forest tractors and skylines are used in some areas. In this study researched technical features and work performances of MB Trac tractors and skylines in Turkey.

  11. EVALUATION OF THE MACHINE MODERNITY IN THE MOTOR INDUSTRY

    Directory of Open Access Journals (Sweden)

    Manuela Krystyna Ingaldi

    2014-12-01

    Full Text Available Most manufacturing companies realize its technologies, implemented through concrete machinery parts. They differ in terms of importance, the relevance of their selection and the level of their modernity. The purpose of this article is to analyse the chosen production machine in terms of its modernity. The ABC technology method was chosen do this research. All parts of the machine were divided into three groups: parts of main subassembly A, parts of supportive subassembly B, parts of collateral subassembly C. Then each of these parts was evaluated in the Parker's five-point scale. From the conducted analysis it results that most parts of the research machine were manufactured with more complex technologies, requiring technical skills and knowledge or with unchanging technologies used for years. It means that the research machine is not a modern machine. Perhaps company managers should take a decision on the change of the machine for the newer one. This would allow for improvement of the technical parameters of the products, increase in production efficiency and reduction of the amount of nonconforming products. Therefore, it can be concluded that a properly selected and correctly applied parts of the subassemblies contribute to the improvement in quality of products and the efficiency of the machine.

  12. Devised Guidelines of Rapid Post-Editing in Machine Translation Out⁃put of Mark on Some Aspects

    Institute of Scientific and Technical Information of China (English)

    屈亚媛; 王庆怡

    2012-01-01

      One of uses of machine translation (MT), is helping readers to read for the gist of a foreign text through a draft translation produced by MT engines. Rapid post-editing, as Jeffrey Allen defines it as a“strictly minimal editing on texts in order to remove blatant and significant errors without considering stylistic issues”, can help present the reader with a roughly comprehensible translation as quickly as possible. The purpose of this article is on a proposed set of rapid post-editing guidelines for Biblical Chinese-English MT, with its application on editing the English MT version of Chapter one of Mark (马尔谷福音) of the Chinese Catholic Bible (天主教思高本圣经) as an example.

  13. Fabrication and Performance Evaluation of a Thevetia Nut Cracking Machine

    Directory of Open Access Journals (Sweden)

    M. M. Odewole

    2015-06-01

    Full Text Available Thevetia seed contains about 64 percent of non-edible oil in its oily kernel and this oil can be used for various purposes such as biofuel and bio-oil; making of paints, insecticides, cosmetics, lubricants and cooling oil in electrical transformers. The cakes obtained after oil extraction are incorporated on the field as manure. In order to get quality oil kernels from the hard nuts, there is need to properly crack them; this process of cracking is still a great challenge. As result of the aforementioned problem, this work focused on the design, fabrication and performance evaluation of a thevetia nut cracking machine. The machine works based on the principle of attrition force. Some of the parts designed for were diameter of shaft (13 mm solid shaft and length of belt (A55, power required to operate the machine (2.5 hp, speed of operation (9.14 m/s and the appropriate dimension of angle iron bar of 45 mm × 45 mm × 3 mm was used for the structural support. The fabrication was done systematically followed by the performance evaluation of the machine. The result of the overall cracking efficiency and throughput capacity of the machine were evaluated to be 96.65 % and 510 g⁄min respectively.

  14. Development and Performance Evaluation of Maize Threshing and Grinding Machine

    Directory of Open Access Journals (Sweden)

    Ugwu K. C.

    2016-10-01

    Full Text Available The Maize threshing and grinding machine was designed, fabricated and its performance was evaluated. The machine consists of two compartments which include the threshing and grinding chamber. Threshing chamber is where the maize grain is been separated from the cob, and the cob will be collected through the outlet chute. Therefore, before the maize grain enters into the grinding chamber, blower will separate the grain from the chaff. The separated grain enters the grinding chamber and is being grounded by compressive means through the stationary disc and the grinding plate. A 2 hp electric motor provides drive through belt connections to drive the pulley on threshing chamber and another 2 hp electric motor provide drive for the grinding chamber. The actual test was conducted using three different moisture contents and feed rates. It was observed that the efficiency of the machine was hindered by high moisture content. The results obtained showed that the machine performed well at low moisture content. The efficiency of the machine was 99.01% on the moisture content of 10%. The analysis of variance (ANOVA of the results obtained at 5% percent probability confirmed that the moisture content of the maize was an important parameter that affects the performance of the machine

  15. Rule Based Machine Translation of Noun Phrases from Punjabi to English

    Directory of Open Access Journals (Sweden)

    Kamaljeet Kaur Batra

    2010-09-01

    Full Text Available The paper presents automatic translation of noun phrases from Punjabi to English using transfer approach. The system has analysis, translation and synthesis component. The steps involved are pre processing, tagging, ambiguity resolution, translation and synthesis of words in target language. The accuracy is calculated for each step and the overall accuracy of the system is calculated to be about 85% for a particular type of noun phrases.

  16. HTRDP evaluations on Chinese information processing and intelligent human-machine interface

    Institute of Scientific and Technical Information of China (English)

    LIU Qun; LIN Shouxun; QIAN Yueliang; WANG Xiangdong; LIU Hong; SUN Le; TANG Sheng; XIONG Deyi; HOU Hongxu; LV Yuanhua; LI Wenbo

    2007-01-01

    From 1991 to 2005,China's High Technology Research and Development Program (HTRDP)sponsored a series of technology evaluations on Chinese information processing and intelligent human-machine interface,which is called HTRDP evaluations,or "863" evaluations in brief.This paper introduces the HTRDP evaluations in detail.The general information of the HTRDP evaluation is presented first,including the history,the concerned technology categories,the organizer,the participants,and the procedure,etc.Then the evaluations on each technology are described in detail respectively,covering Chinese word segmentation,machine translation,acoustic speech recognition,text to speech,text summarization,text categorization,information retrieval,character recognition,and face detection and recognition.For the evaluations on each technology categories,the history,the evaluation tasks,the data,the evaluation method,etc.,are given.The last section concludes the paper and discusses possible future work.

  17. 中日两国机器翻译研究进展及比较%Machine Translation Research in China and Japan: Advances and Comparison

    Institute of Scientific and Technical Information of China (English)

    张均胜; 何彦青; 李颖; 王惠临

    2011-01-01

    Machine translation investigates the use of computer software to translate text or speech from one natural language to another. Since the first computer was invented, people have been studying and exploring high quality and high efficiency of machine translation technology. Recently, rule-based machine translation, example-based machine translation and statistical translation are the main three translation patterns. There are some approaches ofsystem combination for better machine translation results. With the development of science, technology, economy and culture, machine translation has become more important in breaking the language barrier between Chinese and Japanese for promoting China-Japanese exchanges and cooperation. Machine translation researchers in China and Japan have carried out a large number of Chinese-Japanese/Japanese-Chinese machine translation of theoretical research and system development They have achieved a lot of effective results, however, it is still far from the practical translation application of large-scale and high quality. Therefore, it is necessary for researchers in China and Japan to cooperate in machine translation technology and system development for Ch inese-to-Japanese and Japanese-to-Chinese, especially in the parallel corpus, dictionary, terminology, syntactic analysis and so on. This paper presents an overview of the China-Japanese machine translation research and rampares machine translation research in China and Japan. We also discuss the prospects of China-Japanese cooperation in machine translation research.%机器翻译研究用计算机实现不同自然语言之间的翻译.自第一台计算机诞生开始,人们一直在研究和探索高质量高效率的机器翻译技术.近年来,基于规则的机器翻译、基于实例的机器翻译和基于统计的机器翻译这几种主要的翻译模式共同存在且相互补充,并有不断融合之势.随着中国和日本在科技、经济和文化交流的不

  18. Blue gum gaming machine: an evaluation of responsible gambling features.

    Science.gov (United States)

    Blaszczynski, Alexander; Gainsbury, Sally; Karlov, Lisa

    2014-09-01

    Structural characteristics of gaming machines contribute to persistence in play and excessive losses. The purpose of this study was to evaluate the effectiveness of five proposed responsible gaming features: responsible gaming messages; a bank meter quarantining winnings until termination of play; alarm clock facilitating setting time-reminders; demo mode allowing play without money; and a charity donation feature where residual amounts can be donated rather than played to zero credits. A series of ten modified gaming machines were located in five Australian gambling venues. The sample comprised 300 patrons attending the venue and who played the gaming machines. Participants completed a structured interview eliciting gambling and socio-demographic data and information on their perceptions and experience of play on the index machines. Results showed that one-quarter of participants considered that these features would contribute to preventing recreational gamblers from developing problems. Just under half of the participants rated these effects to be at least moderate or significant. The promising results suggest that further refinements to several of these features could represent a modest but effective approach to minimising excessive gambling on gaming machines.

  19. A survey of statistical machine translation using paraphrasing technology%引入复述技术的统计机器翻译研究综述

    Institute of Scientific and Technical Information of China (English)

    2013-01-01

      基于对引入复述技术的统计机器翻译研究现状的分析,提出具有研究价值的课题方向。首先归纳了复述的概念,总结了引入复述技术的统计机器翻译各类方法。然后对复述知识在统计机器翻译中的模型训练、参数调整、待译语句改写和机器翻译自动评测等方面应用的主流方法进行了概括、比较和分析,说明了复述与统计机器翻译是紧密相关的,强调了复述在统计机器翻译应用中的关键问题是复述的正确性和多样性。最后指出提高复述资源的精确度、建立复述与机器翻译的联合模型、采用新方法解决稀疏问题等是有待进一步研究的课题。%In this paper, the research team discussed possible new prospective research directions of paraphrasing technology in statistical machine translation (SMT), based on reviews of state-of-the-art technology.First the re-search team introduced the concept of paraphrases , and next a summarization of the latest progress utilizing para-phrasing technology in SMT was conducted.Finally, conclusions were drawn, data was compared and an analysis of the main issues of incorporating paraphrases into SMT , including translation model training, parameter tuning, in-put sentences rewriting and machine translation evaluation was performed .The results proved that there is an inher-ent connection between paraphrasing and SMT .The results also point out that the correctness and diversity of para-phrasing are the key issues to apply paraphrasing to SMT .It was highly noted that the improvement in the quality of paraphrasing resource, the establishment of a joint model of paraphrasing and machine translation and the new pro -posed approach to solve data sparseness are problems which need further study .

  20. Translation

    OpenAIRE

    2005-01-01

    "Translation" is a life narrative about the ways in which cultural histories shape personal stories, and the capacity of the imagination to develop alternative narratives about oneself and the world. It can also be read a way of addressing the effects of what Ato Quayson calls the global process of postcolonializing. Quaysons critical perspective might be used as an interpretive lens for seeing some of the ways in which  this autobiographical narrative complicates the jargon of race, cl...

  1. Translation

    OpenAIRE

    2005-01-01

    "Translation" is a life narrative about the ways in which cultural histories shape personal stories, and the capacity of the imagination to develop alternative narratives about oneself and the world. It can also be read a way of addressing the effects of what Ato Quayson calls the global process of postcolonializing. Quaysons critical perspective might be used as an interpretive lens for seeing some of the ways in which  this autobiographical narrative complicates the jargon of race, class, ...

  2. Evaluating Evidence Aid as a complex, multicomponent knowledge translation intervention.

    Science.gov (United States)

    Mellon, Dominic

    2015-02-01

    Evidence Aid, an initiative established by members of The Cochrane Collaboration in the aftermath of the Indian Ocean Tsunami in December 2004, celebrates its first 10 years later this year. Whilst the principles of the Evidence Aid initiative are firmly rooted in evidence-based medicine and public health practice, the initiative itself was born of a humanitarian imperative, compassion and the expressed moral duty to help. The evidence-base for Evidence Aid, (that is, for knowledge translation interventions focused on dissemination of evidence), was not, and is not, well-established This article, which is based on a presentation at the Evidence Aid Symposium on 20 September 2014, at Hyderabad, India presents a unifying conceptual framework for use when researching the impact of Evidence Aid as a knowledge translation intervention. It highlights how each of the core activities can be mapped to this framework and identifies key outcomes of interest for evaluation.

  3. Optimal evaluation of array expressions on massively parallel machines

    Science.gov (United States)

    Chatterjee, Siddhartha; Gilbert, John R.; Schreiber, Robert; Teng, Shang-Hua

    1992-01-01

    We investigate the problem of evaluating FORTRAN 90 style array expressions on massively parallel distributed-memory machines. On such machines, an elementwise operation can be performed in constant time for arrays whose corresponding elements are in the same processor. If the arrays are not aligned in this manner, the cost of aligning them is part of the cost of evaluating the expression. The choice of where to perform the operation then affects this cost. We present algorithms based on dynamic programming to solve this problem efficiently for a wide variety of interconnection schemes, including multidimensional grids and rings, hypercubes, and fat-trees. We also consider expressions containing operations that change the shape of the arrays, and show that our approach extends naturally to handle this case.

  4. Evaluation of Process Performance for Sustainable Hard Machining

    Science.gov (United States)

    Rotella, Giovanna; Umbrello, Domenico; , Oscar W. Dillon, Jr.; Jawahir, I. S.

    This paper aims to evaluate the sustainability performance of machining operation of through-hardening steel, AISI 52100, taking into account the impact of the material removal process in its various aspects. Experiments were performed for dry and cryogenic cutting conditions using chamfered cubic boron nitride (CBN) tool inserts at varying cutting conditions (cutting speed and feed rate). Cutting forces, mechanical power, tool wear, white layer thickness, surface roughness and residual stresses were investigated in order to evaluate the effects of extreme in-process cooling on the machined surface. The results indicate that cryogenic cooling has the potential to be used for surface integrity enhancement for improved product life and more sustainable functional performance.

  5. Improving Statistical Machine Translation Through N-best List Re-ranking and Optimization

    Science.gov (United States)

    2014-03-27

    Language Processing, 1352–1362. Association for Computational Linguistics, Edinburgh, Scotland , UK., July 2011. URL http://www.aclweb.org/anthology/D11-1125...Josef. “Minimum Error Rate Training in Statistical Machine Translation”. Erhard Hinrichs and Dan Roth (editors), Proceedings of the 41st Annual Meeting of

  6. PERFORMANCE EVALUATION OF A LOCALLY DEVELOPED CASSAVA CHIPPING MACHINE

    Directory of Open Access Journals (Sweden)

    B. O. Bolaji

    2012-01-01

    Full Text Available

    ENGLISH ABSTRACT: A cassava chipping machine was designed and constructed, and its performance evaluated. The results showed that motor speed has significant effects on chipping capacity, chipping efficiency, and chips geometry. The higher the motor speed, the higher the chipping capacity and the lower the chipping efficiency of the machine. The machine has a maximum capacity of 245 kgh–1 at 500 rpm, and maximum chipping efficiency of 92.6% at a speed of 300 rpm. The overall best performance of the machine is obtained at a speed of 400 rpm with chipping efficiency of 86.5% and chipping capacity of 240 kgh–1.

    AFRIKAANSE OPSOMMING: Die vertoning van ‘n prototype spaandermasjien is bepaal na ontwerp en vervaardiging. Die resultate toon dat motorsnelheid ‘n betekenisvolle invloed het op spaanderuitset, spaanderrendement en spaandervorm. Hoër snelheid verhoog die spaanderuitset, maar tegelyke tyd verlaag die prosesrendement. Die maksimum prosesuitset is 245 kilogram per uur teen 500 omwentelinge per minuut. In den breede is die beste vertoning by 40 omwentelinge per minuut by ‘n rendement van 86.5% en ‘n uitset van 240 kilogram per uur.

  7. Reading Strategies in a L2: A Study on Machine Translation

    Science.gov (United States)

    Karnal, Adriana Riess; Pereira, Vera Vanmacher

    2015-01-01

    This article aims at understanding cognitive strategies which are involved in reading academic texts in English as a L2/FL. Specifically, we focus on reading comprehension when a text is read either using Google translator or not. From this perspective we must consider the reading process in its complexity not only as a decoding process. We follow…

  8. Experimental and theoretical evaluation of the laser-assisted machining of silicon nitride

    Science.gov (United States)

    Rozzi, Jay Christopher

    This study focused on the experimental and theoretical evaluation of the laser assisted machining (LAM) of silicon nitride ceramics. A laser assisted machining facility was constructed whose main components consist of a COsb2 laser and a CNC lathe. Surface temperature histories were first measured and compared to a transient, three-dimensional numerical simulation for a rotating silicon nitride workpiece heated by a translating laser for ranges of the workpiece rotational and laser-translation speeds, as well as the laser beam diameter and power. Excellent agreement was obtained between the experimental and predicted temperature histories. Laser assisted machining experiments on silicon nitride ceramic workpieces were completed for a wide range of operating conditions. Data for cutting forces and surface temperature histories illustrated that the lower bound for the avoidance of cutting tool and/or workpiece fracture for LAM is defined by the YSiAlON glass transition temperature (920-970sp°C). As temperatures near the cutting tool increase to values above the glass transition temperature range, the glassy phase softened, facilitating plastic deformation and, correspondingly, the production of semi-continuous or continuous chips. The silicon nitride machined workpiece surface roughness (Rsb{a}=0.39\\ mum) for LAM at the nominal operating condition was nearly equivalent to a value associated with the grinding of silicon nitride using a diamond wheel (Rsb{a}=0.2\\ mum). By examining the machined surfaces and chips, it was shown that LAM does not produce detectable sub-surface cracking or significant silicon nitride microstructure alteration, respectively. A transient, three-dimensional numerical heat transfer model of laser assisted machining was constructed, which includes a preheat phase and material removal, with the associated changes in the workplace geometry. Excellent agreement was obtained between the measured and predicted temperature histories. The strong

  9. Development of an evaluation technique for human-machine interface

    Energy Technology Data Exchange (ETDEWEB)

    Min, Dae Hwan; Koo, Sang Hui; Ahn, Won Yeong; Ryu, Yeong Shin [Korea Univ., Seoul (Korea, Republic of)

    1997-07-15

    The purpose of this study is two-fold : firstly to establish an evaluation technique for HMI(Human Machine Interface) in NPPs(Nuclear Power Plants) and secondly to develop an architecture of a support system which can be used for the evaluation of HMI. In order to establish an evaluation technique, this study conducted literature review on basic theories of cognitive science studies and summarized the cognitive characteristics of humans. This study also surveyed evaluation techniques of HMI in general, and reviewed studies on the evaluation of HMI in NPPs. On the basis of this survey, the study established a procedure for the evaluation of HMI in NPPs in Korea and laid a foundation for empirical verification.

  10. Machine Transliteration

    CERN Document Server

    Knight, K; Knight, Kevin; Graehl, Jonathan

    1997-01-01

    It is challenging to translate names and technical terms across languages with different alphabets and sound inventories. These items are commonly transliterated, i.e., replaced with approximate phonetic equivalents. For example, "computer" in English comes out as "konpyuutaa" in Japanese. Translating such items from Japanese back to English is even more challenging, and of practical interest, as transliterated items make up the bulk of text phrases not found in bilingual dictionaries. We describe and evaluate a method for performing backwards transliterations by machine. This method uses a generative model, incorporating several distinct stages in the transliteration process.

  11. Exeter at CLEF 2003: Experiments with machine translation for monolingual, bilingual and multilingual retrieval

    OpenAIRE

    Lam-Adesina, Adenike M.; Jones, Gareth J.F.

    2004-01-01

    The University of Exeter group participated in the monolingual, bilingual and multilingual-4 retrieval tasks this year. The main focus of our investigation this year was the small multilingual task comprising four languages, French, German, Spanish and English. We adopted a document translation strategy and tested four merging techniques to combine results from the separate document collections, as well as a merged collection strategy. For both the monolingual and bilingual tasks we explored ...

  12. A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support.

    Science.gov (United States)

    Connolly, Brian; Cohen, K Bretonnel; Santel, Daniel; Bayram, Ulya; Pestian, John

    2017-08-07

    Probabilistic assessments of clinical care are essential for quality care. Yet, machine learning, which supports this care process has been limited to categorical results. To maximize its usefulness, it is important to find novel approaches that calibrate the ML output with a likelihood scale. Current state-of-the-art calibration methods are generally accurate and applicable to many ML models, but improved granularity and accuracy of such methods would increase the information available for clinical decision making. This novel non-parametric Bayesian approach is demonstrated on a variety of data sets, including simulated classifier outputs, biomedical data sets from the University of California, Irvine (UCI) Machine Learning Repository, and a clinical data set built to determine suicide risk from the language of emergency department patients. The method is first demonstrated on support-vector machine (SVM) models, which generally produce well-behaved, well understood scores. The method produces calibrations that are comparable to the state-of-the-art Bayesian Binning in Quantiles (BBQ) method when the SVM models are able to effectively separate cases and controls. However, as the SVM models' ability to discriminate classes decreases, our approach yields more granular and dynamic calibrated probabilities comparing to the BBQ method. Improvements in granularity and range are even more dramatic when the discrimination between the classes is artificially degraded by replacing the SVM model with an ad hoc k-means classifier. The method allows both clinicians and patients to have a more nuanced view of the output of an ML model, allowing better decision making. The method is demonstrated on simulated data, various biomedical data sets and a clinical data set, to which diverse ML methods are applied. Trivially extending the method to (non-ML) clinical scores is also discussed.

  13. Comparative Human and Automatic Evaluation of Glass-Box and Black-Box Approaches to Interactive Translation Prediction

    Directory of Open Access Journals (Sweden)

    Torregrosa Daniel

    2017-06-01

    Full Text Available Interactive translation prediction (ITP is a modality of computer-aided translation that assists professional translators by offering context-based computer-generated continuation suggestions as they type. While most state-of-the-art ITP systems follow a glass-box approach, meaning that they are tightly coupled to an adapted machine translation system, a black-box approach which does not need access to the inner workings of the bilingual resources used to generate the suggestions has been recently proposed in the literature: this new approach allows new sources of bilingual information to be included almost seamlessly. In this paper, we compare for the first time the glass-box and the black-box approaches by means of an automatic evaluation of translation tasks between related languages such as English–Spanish and unrelated ones such as Arabic–English and English–Chinese, showing that, with our setup, 20%–50% of keystrokes could be saved using either method and that the black-box approach outperformed the glass-box one in five out of six scenarios operating under similar conditions. We also performed a preliminary human evaluation of English to Spanish translation for both approaches. On average, the evaluators saved 10% keystrokes and were 4% faster with the black-box approach, and saved 15% keystrokes and were 12% slower with the glass-box one; but they could have saved 51% and 69% keystrokes respectively if they had used all the compatible suggestions. Users felt the suggestions helped them to translate faster and easier. All the tools used to perform the evaluation are available as free/open–source software.

  14. Based on HNC Theory of Machine Translation Research ---English-Chinese Translation%基于HNC理论机助人译--英汉翻译对比研究

    Institute of Scientific and Technical Information of China (English)

    陆小鹿

    2014-01-01

    [Abstract]Machine Translation is indispensable to modern information era to overcome barriers of the language communication . HNC theory by using the method of primitives, hierarchical, network, formal, integrates the sentence structures with semantics, Based on the HNC theory, interprets the conversion of sentence category and patterns between English and Chinese and Contrast between English and Chinese.%机器翻译是现代信息时代克服语言交流障碍不可缺少的的手段。 HNC理论采用基元化、层次化、网络化、形式化的方法,通过句类精妙地把自然语言的表层结构和深层语义联系起来。通过机器翻译,对比研究英汉翻译中的句类句式转换的问题。

  15. Integrated Features by Administering the Support Vector Machine (SVM of Translational Initiations Sites in Alternative Polymorphic Contex

    Directory of Open Access Journals (Sweden)

    Nurul Arneida Husin

    2012-04-01

    Full Text Available Many algorithms and methods have been proposed for classification problems in bioinformatics. In this study, the discriminative approach in particular support vector machines (SVM is employed to recognize the studied TIS patterns. The applied discriminative approach is used to learn about some discriminant functions of samples that have been labelled as positive or negative. After learning, the discriminant functions are employed to decide whether a new sample is true or false. In this study, support vector machines (SVM is employed to recognize the patterns for studied translational initiation sites in alternative weak context. The method has been optimized with the best parameters selected; c=100, E=10-6 and ex=2 for non linear kernel function. Results show that with top 5 features and non linear kernel, the best prediction accuracy achieved is 95.8%. J48 algorithm is applied to compare with SVM with top 15 features and the results show a good prediction accuracy of 95.8%. This indicates that the top 5 features selected by the IGR method and that are performed by SVM are sufficient to use in the prediction of TIS in weak contexts.

  16. Evaluation of Modular EFL Educational Program (Audio-Visual Materials Translation & Translation of Deeds & Documents)

    Science.gov (United States)

    Imani, Sahar Sadat Afshar

    2013-01-01

    Modular EFL Educational Program has managed to offer specialized language education in two specific fields: Audio-visual Materials Translation and Translation of Deeds and Documents. However, no explicit empirical studies can be traced on both internal and external validity measures as well as the extent of compatibility of both courses with the…

  17. Qualitative: Open Source Python Tool for Quality Estimation over Multiple Machine Translation Outputs

    Directory of Open Access Journals (Sweden)

    Eleftherios Avramidis

    2014-09-01

    Full Text Available “Qualitative” is a python toolkit for ranking and selection of sentence-level output by different MT systems using Quality Estimation. The toolkit implements a basic pipeline for annotating the given sentences with black-box features. Consequently, it applies a machine learning mechanism in order to rank data based on models pre-trained on human preferences. The preprocessing pipeline includes support for language models, PCFG parsing, language checking tools and various other pre-processors and feature generators. The code follows the principles of object-oriented programming to allow modularity and extensibility. The tool can operate by processing both batch-files and single sentences. An XML-RPC interface is provided for hooking up with web-services and a graphical animated web-based interface demonstrates its potential on-line use.

  18. Finger vein image quality evaluation using support vector machines

    Science.gov (United States)

    Yang, Lu; Yang, Gongping; Yin, Yilong; Xiao, Rongyang

    2013-02-01

    In an automatic finger-vein recognition system, finger-vein image quality is significant for segmentation, enhancement, and matching processes. In this paper, we propose a finger-vein image quality evaluation method using support vector machines (SVMs). We extract three features including the gradient, image contrast, and information capacity from the input image. An SVM model is built on the training images with annotated quality labels (i.e., high/low) and then applied to unseen images for quality evaluation. To resolve the class-imbalance problem in the training data, we perform oversampling for the minority class with random-synthetic minority oversampling technique. Cross-validation is also employed to verify the reliability and stability of the learned model. Our experimental results show the effectiveness of our method in evaluating the quality of finger-vein images, and by discarding low-quality images detected by our method, the overall finger-vein recognition performance is considerably improved.

  19. Determination of referential property and number of nouns in Japanese sentences for machine translation into English

    CERN Document Server

    Murata, M; Murata, Masaki; Nagao, Makoto

    1994-01-01

    When translating Japanese nouns into English, we face the problem of articles and numbers which the Japanese language does not have, but which are necessary for the English composition. To solve this difficult problem we classified the referential property and the number of nouns into three types respectively. This paper shows that the referential property and the number of nouns in a sentence can be estimated fairly reliably by the words in the sentence. Many rules for the estimation were written in forms similar to rewriting rules in expert systems. We obtained the correct recognition scores of 85.5\\% and 89.0\\% in the estimation of the referential property and the number respectively for the sentences which were used for the construction of our rules. We tested these rules for some other texts, and obtained the scores of 68.9\\% and 85.6\\% respectively.

  20. Hodnocení automatického překladu SMT systémů (Google translate, Bing) z francouzštiny do češtiny: kolokace z oblasti "bezpečnost potravin"

    OpenAIRE

    ŠVARCOVÁ, Zora

    2016-01-01

    The aim of this bachelor thesis is to test and evaluate the translation quality of selected terminological collocations related to "food safety" using free available translators (Microsoft Bing Translator, Google Translate). The work is divided into two parts theoretical and practical. Theoretical part is divided into several chapters, which focus on the development, history and use of statistical machine translation, the basic strategies of machine translation systems (rule-based machine tra...

  1. Evaluation of the SYSTRAN Automatic Translation System. Report No. 5.

    Science.gov (United States)

    Chaumier, Jacques; And Others

    The Commission of the European Communities has acquired an automatic translation system (SYSTRAN), which has been put into operation on an experimental basis. The system covers translation of English into French and comprises a dictionary for food science and technology containing 25,000 words or inflections and 4,500 expressions. This report…

  2. DEVELOPMENT AND PERFORMANCE EVALUATION OF FLUTED PUMPKIN SEED DEHULLING MACHINE

    OpenAIRE

    Odewole, M M; Adesoye, O A; Oyeniyi, S K; Isiaka, A O

    2016-01-01

    A machine for dehulling fluted pumpkin seed (Telfairia occidentalis) was developed. The main objective of developing the machine was to provide a better substitute to traditional methods of dehulling the seed which contains edible oil of high medicinal and nutritional values. Traditional methods are full of drudgery, slow, injury prone and would lead to low and poor outputs in terms of quantity and quality of dehulled products. The machine is made of five major parts: the feed hopper (for hol...

  3. Remote Machining and Evaluation of Explosively Filled Munitions

    Data.gov (United States)

    Federal Laboratory Consortium — This facility is used for remote machining of explosively loaded ammunition. Munition sizes from small arms through 8-inch artillery can be accommodated. Sectioning,...

  4. A Functional Correspondence between Monadic Evaluators and Abstract Machines for Languages with Computational Effects

    DEFF Research Database (Denmark)

    Ager, Mads Sig; Danvy, Olivier; Midtgaard, Jan

    2005-01-01

    We extend our correspondence between evaluators and abstract machines from the pure setting of the lambda-calculus to the impure setting of the computational lambda-calculus. We show how to derive new abstract machines from monadic evaluators for the computational lambda-calculus. Starting from (1......) a generic evaluator parameterized by a monad and (2) a monad specifying a computational effect, we inline the components of the monad in the generic evaluator to obtain an evaluator written in a style that is specific to this computational effect. We then derive the corresponding abstract machine by closure......-converting, CPS-transforming, and defunctionalizing this specific evaluator. We illustrate the construction first with the identity monad, obtaining the CEK machine, and then with a lifting monad, a state monad, and with a lifted state monad, obtaining variants of the CEK machine with error handling, state...

  5. Evaluating automatically parallelized versions of the support vector machine

    NARCIS (Netherlands)

    Codreanu, Valeriu; Droge, Bob; Williams, David; Yasar, Burhan; Yang, Fo; Liu, Baoquan; Dong, Feng; Surinta, Olarik; Schomaker, Lambertus; Roerdink, Jos; Wiering, Marco

    2014-01-01

    The support vector machine (SVM) is a supervised learning algorithm used for recognizing patterns in data. It is a very popular technique in machine learning and has been successfully used in applications such as image classification, protein classification, and handwriting recognition. However, the

  6. Evaluation of the Technical-Economic Potential of Particle- Reinforced Aluminum Matrix Composites and Electrochemical Machining

    Science.gov (United States)

    Schubert, A.; Götze, U.; Hackert-Oschätzchen, M.; Lehnert, N.; Herold, F.; Meichsner, G.; Schmidt, A.

    2016-03-01

    Compared to conventional cutting, the processing of materials by electrochemical machining offers some technical advantages like high surface quality, no thermal or mechanical impact on the work piece and preservation of the microstructure of the work piece material. From the economic point of view, the possibility of process parallelization and the absence of any process-related tool wear are mentionable advantages of electrochemical machining. In this study, based on experimental results, it will be evaluated to what extent the electrochemical machining is technically and economically suitable for the finish-machining of particle- reinforced aluminum matrix composites (AMCs). Initial studies showed that electrochemical machining - in contrast to other machining processes - has the potential to fulfil demanding requirements regarding precision and surface quality of products or components especially when applied to AMCs. In addition, the investigations show that processing of AMCs by electrochemical machining requires less energy than the electrochemical machining of stainless steel. Therefore, an evaluation of electrochemically machined AMCs - compared to stainless steel - from a technical and an economic perspective will be presented in this paper. The results show the potential of electro-chemically machined AMCs and contribute to the enhancement of instruments for technical-economic evaluations as well as a comprehensive innovation control.

  7. Design, Construction and Evaluation of a Row Crop Thinning Machine

    Directory of Open Access Journals (Sweden)

    M Gol Mohammadi

    2014-04-01

    Full Text Available Equipment availability is necessary in the development of Agriculture mechanization. Crop thinning is one of the most important stages in row crop production which is laborious and costly. The objective of this project is design and construction of a row crop thinning machine. Four main system units are plant sensors, ground sensors, control and thinning platforms. In this machine the unwanted plants on the rows are randomly removed by employing a pneumatically system. A blade on a vertical arm with pendulum motion removes the plant from the rows. The machine control system consists of an arm and a blade which is activated by a double acting cylinder and equipped with a relay and a timer. The pneumatic cylinder is controlled via a solenoid valve. Laboratory tests were conducted to validate the machine performance. Some other preliminary tests also were performed for optimization of parameters such as cinematic index and cutting length of blades. The laboratory tests (totally 9 tests were performed with a constant forward speed and three levels of plant density, using artificial plants. The data were analyzed using SPSS software. The results show that satisfactory performance of the machine is achieved when the plant density is moderate i.e. the thinning performance reduces with higher plant distance in the row. The other effective variable on machine performance is the adjustment of sensor sensitivity, which is used to distinguish between week and strong plants. In general the machine performance is sensitive to plant shape and morphology, plant distribution pattern in the field, growing stage of the plants, time of thinning and the effectiveness of previous weeding operations

  8. Performance Evaluation of a Prototyped Breadfruit Seed Dehulling Machine

    Directory of Open Access Journals (Sweden)

    Nnamdi Anosike

    2016-05-01

    Full Text Available The drudgery involved in dehulling breadfruit seed by traditional methods has been highlighted as one of the major problems hindering the realization of the full potential of breadfruit as a field to food material. This paper describes a development in an African breadfruit seed dehulling machine with increased throughput of about 70% above reported machines. The machine consists of a 20 mm diameter shaft, carrying a spiral wound around its circumference (feeder. The feeder provides the required rotational motion and turns a circular disk that rotates against a fixed disk. The two disks can be adjusted to maintain a pre-determined gap for dehulling. An inbuilt drying unit reduces the moisture content of the breadfruit for easy separation of the cotyledon from the endosperm immediately after the dehulling process. The sifting unit that separates the shell from the seed is achieved in this design with an electric fan. The machine is design to run at a speed of 250 rpm with an electric motor as the prime mover. The dehulling efficiency up to 86% and breakage of less than 1.3% was obtained at a clearance setting of 12.4 mm between disks. A sifting efficiency of 100% was achieved. Based on the design diameter and clearance between the dehulling disks, the machine throughput was 216 kg/h with an electric power requirement of 1.207 kW.

  9. Dynamic Evaluation Model and Application Methods for Engineering Machine Maintenance Quality

    Institute of Scientific and Technical Information of China (English)

    WANG Jian; WANG Yan-feng; DAI Ling; WANG Xi

    2012-01-01

    It is an important content of equipment management to keep the engineering machine well. Based on the theory of component technology and grey related algorithm arithmetic, the requirements and procedures of engineering machine maintenance predicting process are analyzed, and a support object evaluation system is provided. The qualitative and quantitative indexes of evaluating process are fully taken into consideration to provide scientific methods and ways for proper evaluation and decision.

  10. Using Expert Systems in Evaluation of the State of High Voltage Machine Insulation Systems

    Directory of Open Access Journals (Sweden)

    K. Záliš

    2000-01-01

    Full Text Available Expert systems are used for evaluating the actual state and future behavior of insulating systems of high voltage electrical machines and equipment. Several rule-based expert systems have been developed in cooperation with top diagnostic workplaces in the Czech Republic for this purpose. The IZOLEX expert system evaluates diagnostic measurement data from commonly used offline diagnostic methods for the diagnostic of high voltage insulation of rotating machines, non-rotating machines and insulating oils. The CVEX expert system evaluates the discharge activity on high voltage electrical machines and equipment by means of an off-line measurement. The CVEXON expert system is for evaluating the discharge activity by on-line measurement, and the ALTONEX expert system is the expert system for on-line monitoring of rotating machines. These developed expert systems are also used for educating students (in bachelor, master and post-graduate studies and in courses which are organized for practicing engineers and technicians and for specialists in the electrical power engineering branch. A complex project has recently been set up to evaluate the measurement of partial discharges. Two parallel expert systems for evaluating partial dischatge activity on high voltage electrical machines will work at the same time in this complex evaluating system.

  11. Translational applications of evaluating physiologic variability in human endotoxemia.

    Science.gov (United States)

    Scheff, Jeremy D; Mavroudis, Panteleimon D; Calvano, Steve E; Androulakis, Ioannis P

    2013-08-01

    Dysregulation of the inflammatory response is a critical component of many clinically challenging disorders such as sepsis. Inflammation is a biological process designed to lead to healing and recovery, ultimately restoring homeostasis; however, the failure to fully achieve those beneficial results can leave a patient in a dangerous persistent inflammatory state. One of the primary challenges in developing novel therapies in this area is that inflammation is comprised of a complex network of interacting pathways. Here, we discuss our approaches towards addressing this problem through computational systems biology, with a particular focus on how the presence of biological rhythms and the disruption of these rhythms in inflammation may be applied in a translational context. By leveraging the information content embedded in physiologic variability, ranging in scale from oscillations in autonomic activity driving short-term heart rate variability to circadian rhythms in immunomodulatory hormones, there is significant potential to gain insight into the underlying physiology.

  12. Evaluating machine learning classification for financial trading: An empirical approach

    OpenAIRE

    Gerlein, EA; McGinnity, M; Belatreche, A; Coleman, S.

    2016-01-01

    Technical and quantitative analysis in financial trading use mathematical and statistical tools to help investors decide on the optimum moment to initiate and close orders. While these traditional approaches have served their purpose to some extent, new techniques arising from the field of computational intelligence such as machine learning and data mining have emerged to analyse financial information. While the main financial engineering research has focused on complex computational models s...

  13. Logical Evaluation of Consciousness: For Incorporating Consciousness into Machine Architecture

    OpenAIRE

    2010-01-01

    Machine Consciousness is the study of consciousness in a biological, philosophical, mathematical and physical perspective and designing a model that can fit into a programmable system architecture. Prime objective of the study is to make the system architecture behave consciously like a biological model does. Present work has developed a feasible definition of consciousness, that characterizes consciousness with four parameters i.e., parasitic, symbiotic, self referral and reproduction. Prese...

  14. Modular reconfigurable machine tools: design, control and evaluation

    CSIR Research Space (South Africa)

    Padayachee, J

    2009-11-01

    Full Text Available -process capacity scaling. Scalable production capacity and adjustable system functionality are the key objectives of reconfigurable manufacturing. Index terms: Reconfigurable Manufacturing Systems, Modular Reconfigurable Machines, Open Architecture Control...] identify the fixed mechanical architectures and proprietary control systems found in CNC and DMT equipment as the specific drawback in effectively implementing these classes of equipment in RMS. Koren et al.[3] proposed the development of reconfigurable...

  15. Evaluation of a Knowledge Translation and Exchange Platform to Advance Non-Communicable Disease Prevention

    Science.gov (United States)

    Pettman, Tahna Lee; Armstrong, Rebecca; Waters, Elizabeth; Allender, Steven; Love, Penelope; Gill, Tim; Coveney, John; Boylan, Sinead; Booth, Sue; Bolton, Kristy; Swinburn, Boyd

    2016-01-01

    Coordinated systems are required to ensure evidence-informed practice and evaluation of community-based interventions (CBIs). Knowledge translation and exchange (KTE) strategies show promise, but these require evaluation. This paper describes implementation and evaluation of COOPS, a national KTE platform to support best practice in obesity…

  16. Evaluation of containment failure and cleanup time for Pu shots on the Z machine.

    Energy Technology Data Exchange (ETDEWEB)

    Darby, John L.

    2010-02-01

    Between November 30 and December 11, 2009 an evaluation was performed of the probability of containment failure and the time for cleanup of contamination of the Z machine given failure, for plutonium (Pu) experiments on the Z machine at Sandia National Laboratories (SNL). Due to the unique nature of the problem, there is little quantitative information available for the likelihood of failure of containment components or for the time to cleanup. Information for the evaluation was obtained from Subject Matter Experts (SMEs) at the Z machine facility. The SMEs provided the State of Knowledge (SOK) for the evaluation. There is significant epistemic- or state of knowledge- uncertainty associated with the events that comprise both failure of containment and cleanup. To capture epistemic uncertainty and to allow the SMEs to reason at the fidelity of the SOK, we used the belief/plausibility measure of uncertainty for this evaluation. We quantified two variables: the probability that the Pu containment system fails given a shot on the Z machine, and the time to cleanup Pu contamination in the Z machine given failure of containment. We identified dominant contributors for both the time to cleanup and the probability of containment failure. These results will be used by SNL management to decide the course of action for conducting the Pu experiments on the Z machine.

  17. 'Translational formative evaluation': critical in up-scaling public health programmes.

    Science.gov (United States)

    O'Hara, Blythe J; Phongsavan, Philayrath; King, Lesley; Develin, Elizabeth; Milat, Andrew J; Eggins, Dianne; King, Elizabeth; Smith, Joanne; Bauman, Adrian E

    2014-03-01

    The process of generating evidence-based public health interventions is understood to include steps that define the issue, generate and test solutions in controlled settings, replicate and then disseminate more widely. However, to date models have not considered the types and scale of formative evaluation tasks that are needed to up-scale interventions, from efficacy to population-wide dissemination in the real world. In this paper, we propose that an additional stage of 'translational formative evaluation' is necessary for the translation of effectiveness evidence into wide-scale public health practice. We illustrate the utility of translational formative evaluation, through a case study of the Get Healthy Information and Coaching Service(®) (GHS), a population-based telephone service designed to assist adults change lifestyle-related behaviours. The additional translational formative evaluation steps comprised synthesis of efficacy studies, qualitative research with the wider target audience, environmental analysis and stakeholder consultation. They produced precise recommendations to refine GHS design and implementation. Translational formative evaluation is a necessary intermediate step, following efficacy studies and a precursor to population-wide implementation of public health programmes.

  18. Machine-translatability and post-editing effort: an empirical study using translog and choice network analysis

    OpenAIRE

    O'Brien, Sharon

    2006-01-01

    Studies on Controlled Language (CL) suggest that by removing features that are known to be problematic for MT (termed here “negative translatability indicators”, or “NTIs”), the MT output can be improved. It is assumed that an improvement in the output will result in lower post-editing effort. This study tests that assumption by measuring the technical, temporal and cognitive post-editing effort (Krings 2001) for English sentences in a user manual that have been translated into German using a...

  19. Translation Techniques

    Directory of Open Access Journals (Sweden)

    Marcia Pinheiro

    2015-05-01

    Full Text Available In this paper, we discuss three translation techniques: literal, cultural, and artistic. Literal translation is a well-known technique, which means that it is quite easy to find sources on the topic. Cultural and artistic translation may be new terms. Whilst cultural translation focuses on matching contexts, artistic translation focuses on matching reactions. Because literal translation matches only words, it is not hard to find situations in which we should not use this technique.  Because artistic translation focuses on reactions, judging the quality of an artistic translation work is one of the most difficult things one can do. We end up having a score of complexity and humanity for each one of the mentioned techniques: Literal translation would be the closest thing we have to the machines world and artistic translation would be the closest thing we have to the purely human world. By creating these classifications and studying the subtleties of each one of them, we are adding degrees of quality to our courses and to translation as a professional field. The main contribution of this paper is then the formalization of such a piece of knowledge. We, however, also lay the foundations for studies of this type.

  20. Lost in Translation

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    The intricacies of language still eludes even the most sophisticated technology IT is no surprise Jost Zetzsche,an English-to-German translator,raised the question of whether machine translation would ever replace the human variety in front of 700 interpreters and translators who gathered in San Francisco to discuss topical issues in the translation industry.

  1. Translators and Tools

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    Technology is not yet advanced enough to capture the nuances of language It is no surprise Jost Zetzsche,an English-to-German translator,raised the question of whether machine translation would ever replace the human variety in front of 700 interpreters and translators who gathered in San Francisco to discuss topical issues in the translation industry.

  2. Lost in Translation

    Institute of Scientific and Technical Information of China (English)

    Ding Zhitao; Chen Wen

    2011-01-01

    IT is no surprise Jost Zetzsche,an English-to-German translator,raised the question of whether machine translation would ever replace the human variety in front of 700 interpreters and translators who gathered in San Francisco to discuss topical issues in the translation industry.

  3. Translation: Aids, Robots, and Automation.

    Science.gov (United States)

    Andreyewsky, Alexander

    1981-01-01

    Examines electronic aids to translation both as ways to automate it and as an approach to solve problems resulting from shortage of qualified translators. Describes the limitations of robotic MT (Machine Translation) systems, viewing MAT (Machine-Aided Translation) as the only practical solution and the best vehicle for further automation. (MES)

  4. Logical Evaluation of Consciousness: For Incorporating Consciousness into Machine Architecture

    CERN Document Server

    Padhy, C N

    2010-01-01

    Machine Consciousness is the study of consciousness in a biological, philosophical, mathematical and physical perspective and designing a model that can fit into a programmable system architecture. Prime objective of the study is to make the system architecture behave consciously like a biological model does. Present work has developed a feasible definition of consciousness, that characterizes consciousness with four parameters i.e., parasitic, symbiotic, self referral and reproduction. Present work has also developed a biologically inspired consciousness architecture that has following layers: quantum layer, cellular layer, organ layer and behavioral layer and traced the characteristics of consciousness at each layer. Finally, the work has estimated physical and algorithmic architecture to devise a system that can behave consciously.

  5. The Groningen hypothermic liver perfusion pump : Functional evaluation of a new machine perfusion system

    NARCIS (Netherlands)

    van der Plaats, A.; Maathuis, M. H. J.; Hart, N. A. 't; Bellekom, A. A.; Hofker, H. S.; van der Houwen, E. B.; Verkerke, G. J.; Leuvenink, H. G. D.; Verdonck, P.; Ploeg, R. J.; Rakhorst, G.

    2006-01-01

    To improve preservation of donor livers, we have developed a portable hypothermic machine perfusion (HMP) system as an alternative for static cold storage. A prototype of the system was built and evaluated on functionality. Evaluation criteria included 24 h of adequate pressure controlled perfusion,

  6. Effectiveness and resolution of tests for evaluating the performance of cutting fluids in machining aerospace alloys

    DEFF Research Database (Denmark)

    De Chiffre, Leonardo; Axinte, Dragos A.

    2008-01-01

    The paper discusses effectiveness and resolution of five cutting tests (turning, milling, drilling, tapping, VIPER grinding) and their quality output measures used in a multi-task procedure for evaluating the performance of cutting fluids when machining aerospace materials. The evaluation takes...

  7. In Vitro Evaluation of a Program for Machine-Aided Indexing.

    Science.gov (United States)

    Jacquemin, Christian; Daille, Beatrice; Royaute, Jean; Polanco, Xavier

    2002-01-01

    Presents the human evaluation of ILIAD, a program for machine-aided indexing that was designed to assist expert librarians in computer-aided indexing and document analysis. Topics include controlled indexing and free indexing; natural language and concept-based information retrieval; evaluation methodology; syntactic variations; and a comparison…

  8. Performance evaluation of fractional-slot tubular permanent magnet machines with low space harmonics

    Directory of Open Access Journals (Sweden)

    Wang Jiabin

    2015-12-01

    Full Text Available This paper evaluates the perforamnce of fractional-slot per pole winding configurations for tubular permanent magnet (PM machines that can effectively eliminate the most undesirable space harmonics in a simple and cost-effective manner. The benefits of the proposed machine topology winding configurations are illustrated through comparison with 9-slot, 10-pole tubular PM machine developed for a free piston energy converter under the same specification and volumetric constraints. It has been shown that the proposed machine topology results in more than 7 times reduction in the eddy current loss in the mover magnets and supporting tube, and hence avoids potential problem of excessive mover temperature and risk of demagnetization.

  9. Effectiveness of Hamstring Knee Rehabilitation Exercise Performed in Training Machine vs. Elastic Resistance Electromyography Evaluation Study

    DEFF Research Database (Denmark)

    Jakobsen, M. D.; Sundstrup, E.; Andersen, C. H.

    2014-01-01

    Objective The aim of this study was to evaluate muscle activity during hamstring rehabilitation exercises performed in training machine compared with elastic resistance. Design Six women and 13 men aged 28-67 yrs participated in a crossover study. Electromyographic (EMG) activity was recorded...... in the biceps femoris and the semitendinosus during the concentric and the eccentric phase of hamstring curls performed with TheraBand elastic tubing and Technogym training machines and normalized to maximal voluntary isometric contraction-EMG (normalized EMG). Knee joint angle was measured using electronic...... inclinometers. Results Training machines and elastic resistance showed similar high levels of muscle activity (biceps femoris and semitendinosus peak normalized EMG >80%). EMG during the concentric phase was higher than during the eccentric phase regardless of exercise and muscle. However, compared with machine...

  10. Towards a French/French Sign Language Machine-Translation System (TLF Vers un système de traduction automatique : français/langue des signes française (TLF

    Directory of Open Access Journals (Sweden)

    Gaspard Breton

    2009-04-01

    Full Text Available We present a work in the framewok of machine translation from French to French Sign Language (FSL with synthesis of gestures through a virtual agent. We first give some descriptive and theoretical elements about the FSL. Then we propose a formalization of the standard part of the FSL lexicon as well as propositions concerning some morpho-syntactic phenomena. Then we present the machine translation system based on interlingua representation system "TiLT" developed at France Telecom R&D and the adaptation of its generation module to FSL. We end with the avatar technology also developed at France Telecom R&D and its FSL treatment.

  11. Scale effects and a method for similarity evaluation in micro electrical discharge machining

    Science.gov (United States)

    Liu, Qingyu; Zhang, Qinhe; Wang, Kan; Zhu, Guang; Fu, Xiuzhuo; Zhang, Jianhua

    2016-08-01

    Electrical discharge machining(EDM) is a promising non-traditional micro machining technology that offers a vast array of applications in the manufacturing industry. However, scale effects occur when machining at the micro-scale, which can make it difficult to predict and optimize the machining performances of micro EDM. A new concept of "scale effects" in micro EDM is proposed, the scale effects can reveal the difference in machining performances between micro EDM and conventional macro EDM. Similarity theory is presented to evaluate the scale effects in micro EDM. Single factor experiments are conducted and the experimental results are analyzed by discussing the similarity difference and similarity precision. The results show that the output results of scale effects in micro EDM do not change linearly with discharge parameters. The values of similarity precision of machining time significantly increase when scaling-down the capacitance or open-circuit voltage. It is indicated that the lower the scale of the discharge parameter, the greater the deviation of non-geometrical similarity degree over geometrical similarity degree, which means that the micro EDM system with lower discharge energy experiences more scale effects. The largest similarity difference is 5.34 while the largest similarity precision can be as high as 114.03. It is suggested that the similarity precision is more effective in reflecting the scale effects and their fluctuation than similarity difference. Consequently, similarity theory is suitable for evaluating the scale effects in micro EDM. This proposed research offers engineering values for optimizing the machining parameters and improving the machining performances of micro EDM.

  12. Quantitative evaluation of impedance perception characteristics of humans in the man-machine interface

    Energy Technology Data Exchange (ETDEWEB)

    Onish, Keiichi [Yamaha Motor Co., Shizuoka (Japan); Kim, Young Woo [Daegu Techno Park R and D Center, Seoul (Korea, Republic of); Obinata, Goro [Nagoya University, Nagoya (Japan); Hase, Kazunori [Tokyo Metropolitan University, Tokyo (Japan)

    2013-05-15

    We investigated impedance perception characteristics of humans in the man-machine interface. Sensibility or operational feel about physical properties of machine dynamics is obtained through perception process. We evaluated the impedance perception characteristics of humans who are operating a mechanical system, based on extended Scheffe's subjective evaluation method in full consideration of the influence of impedance level, impedance difference, experiment order, individual difference and so on. Constant method based quantitative evaluation was adopted to investigate the influence of motion frequency and change of the impedance on human impedance perception characteristics. Experimental results indicate that humans perceive impedance of mechanical systems based on comparison process of the dynamical characteristics of the systems. The proposed method can be applied to quantify the design requirement of man-machine interface. The effectiveness of the proposed method is verified through experimental results.

  13. Multilingual online machine translation research%多语言在线机器翻译研究

    Institute of Scientific and Technical Information of China (English)

    董兴华; 徐春; 王磊; 周喜

    2012-01-01

    This paper gives a description of implementing an online, high-powered multilingual translation engine, which consists of three language pairs, that is, Uyghur-Chinese, Kazakh-Chinese and Kyrgyz-Chinese, based on additional knowledge base and multithreading and task distributing technology. The translation engine is easy to be extended to other language pairs, which has an ability of translating words, phrases, sentences, files and webs in one language to those of another.%描述了通过使用外部知识库和基于短语的翻译模型,利用多线程、任务分发的技术实现了一个在线的、高性能的多语言翻译引擎,已初步实现了维汉、哈汉、柯汉三种语言间的翻译.翻译引擎很容易扩展到其他语言对,具有翻译词、短语、句子、文件和网页的功能.

  14. Munday, Jeremy. Evaluation in translation: critical points of translator decision- making. London/New York: Routledge, 2012. Print.

    Directory of Open Access Journals (Sweden)

    Ladjane Maria Farias de Souza

    2015-12-01

    Full Text Available In this book, Jeremy Munday aims to investigate the translator's subjective interpretation and intervention in the translation of value positions represented in the source text. As Munday draws mostly on Martin and White's (2005 appraisal theory, developed within systemic functional linguistics, he also aims to test out the model for the analysis of the translated text. Published in 2012, the book already received a few reviews. However, the novelty and complexity of its theoretical foundation within Translation Studies justifies yet another review.

  15. Evaluation and the NIH clinical and translational science awards: a "top ten" list.

    Science.gov (United States)

    Pincus, Harold Alan; Abedin, Zainab; Blank, Arthur E; Mazmanian, Paul E

    2013-12-01

    Since 2006, a total of 61 Clinical and Translational Science Institutes (CTSAs) have been funded by the National Institutes of Health (NIH), with the aim of reducing translation time from a bench discovery to when it impacts patients. This special issue of Evaluation & the Health Professions focuses on evaluation within and across the large, complex system of the CTSA Program of NIH. Through insights gained by reading the articles in this special edition and the experience of the authors, a "top ten" list of lessons learned and insights gained is presented. The list outlines issues that face those who evaluate the influence of the CTSA Program, as they work to anticipate what will be needed for continuing success. Themes include (1) considering the needs of stakeholders, (2) the perspective of the evaluators, (3) the importance of service improvement, (4) the importance of teams and people, (5) costs and return on investments, (6) methodology considerations to evaluate the CTSA enterprise, (7) innovation in evaluation, (8) defining the transformation of research, (9) evaluating the long-term impact of the CTSAs on public health, and (10) contributing to science policy formulation and implementation. The establishment of the CTSA Program, with its mandated evaluation component, has not only influenced the infrastructure and nature of translational research but will continue to impact policy and management in science.

  16. Instrument translation and initial psychometric evaluation of the Danish Body Image Quality of Life Inventory

    DEFF Research Database (Denmark)

    Rasmussen, Trine Bernholdt; Berg, Selina Kikkenborg; Dixon, Jane

    2016-01-01

    translation, expert committee comparisons and cognitive interviewing, and (ii) empirical testing of the Danish version (BIQLI-DA) with subsequent psychometric evaluation. Hypothesised correlations to other measures, including body mass index (BMI), Medical Outcome Short Form-8 (SF-8), Patient Health...

  17. U.S. Army Research Laboratory (ARL) Corporate Dari Document Transcription and Translation Guidelines

    Science.gov (United States)

    2012-10-01

    text file format. 15. SUBJECT TERMS Transcription, Translation, guidelines, ground truth, Optical character recognition, OCR, Machine Translation, MT...foreign language into a target language in order to train, test, and evaluate optical character recognition (OCR) and machine translation (MT) embedded...the final word in this sequence). 5. Spacing: When printed words give the illusion of having a space in between letters in the word due to

  18. A Support Vector Machine-based Evaluation Model of Customer Satisfaction Degree in Logistics

    Institute of Scientific and Technical Information of China (English)

    SUN Hua-li; XIE Jian-ying

    2007-01-01

    This paper pressnts a novel evaluation model of the customer satisfaction degree (CSD) in logistics based on support vector machine (SVM). Firstly, the relation between the suppliers and the customers is analyzed. Secondly, the evaluation index system and fuzzy quantitative methods are provided. Thirdly, the CSD evaluation system including eight indexes and three ranks rinsed on one-against-one mode of SVM is built. Last simulation experiment is presented to illustrate the theoretical results.

  19. Performance Evaluation of Machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images

    Directory of Open Access Journals (Sweden)

    Marc Wieland

    2014-03-01

    Full Text Available In this study, a classification and performance evaluation framework for the recognition of urban patterns in medium (Landsat ETM, TM and MSS and very high resolution (WorldView-2, Quickbird, Ikonos multi-spectral satellite images is presented. The study aims at exploring the potential of machine learning algorithms in the context of an object-based image analysis and to thoroughly test the algorithm’s performance under varying conditions to optimize their usage for urban pattern recognition tasks. Four classification algorithms, Normal Bayes, K Nearest Neighbors, Random Trees and Support Vector Machines, which represent different concepts in machine learning (probabilistic, nearest neighbor, tree-based, function-based, have been selected and implemented on a free and open-source basis. Particular focus is given to assess the generalization ability of machine learning algorithms and the transferability of trained learning machines between different image types and image scenes. Moreover, the influence of the number and choice of training data, the influence of the size and composition of the feature vector and the effect of image segmentation on the classification accuracy is evaluated.

  20. The evaluation of functional heart condition with machine learning algorithms

    Science.gov (United States)

    Overchuk, K. V.; Lezhnina, I. A.; Uvarov, A. A.; Perchatkin, V. A.; Lvova, A. B.

    2017-08-01

    This paper is considering the most suitable algorithms to build a classifier for evaluating of the functional heart condition with the ability to estimate the direction and progress of the patient’s treatment. The cons and pros of algorithms was analyzed with respect to the problem posed. The most optimal solution has been given and justified.

  1. Peak Detection Method Evaluation for Ion Mobility Spectrometry by Using Machine Learning Approaches

    DEFF Research Database (Denmark)

    Hauschild, Anne-Christin; Kopczynski, Dominik; D'Addario, Marianna

    2013-01-01

    machine learning methods exist, an inevitable preprocessing step is reliable and robust peak detection without manual intervention. In this work we evaluate four state-of-the-art approaches for automated IMS-based peak detection: local maxima search, watershed transformation with IPHEx, region......-merging with VisualNow, and peak model estimation (PME).We manually generated Metabolites 2013, 3 278 a gold standard with the aid of a domain expert (manual) and compare the performance of the four peak calling methods with respect to two distinct criteria. We first utilize established machine learning methods...

  2. Technical note: Evaluation of three machine learning models for surface ocean CO2 mapping

    Science.gov (United States)

    Zeng, Jiye; Matsunaga, Tsuneo; Saigusa, Nobuko; Shirai, Tomoko; Nakaoka, Shin-ichiro; Tan, Zheng-Hong

    2017-04-01

    Reconstructing surface ocean CO2 from scarce measurements plays an important role in estimating oceanic CO2 uptake. There are varying degrees of differences among the 14 models included in the Surface Ocean CO2 Mapping (SOCOM) inter-comparison initiative, in which five models used neural networks. This investigation evaluates two neural networks used in SOCOM, self-organizing maps and feedforward neural networks, and introduces a machine learning model called a support vector machine for ocean CO2 mapping. The technique note provides a practical guide to selecting the models.

  3. Peak Detection Method Evaluation for Ion Mobility Spectrometry by Using Machine Learning Approaches

    DEFF Research Database (Denmark)

    Hauschild, Anne-Christin; Kopczynski, Dominik; D'Addario, Marianna;

    2013-01-01

    machine learning methods exist, an inevitable preprocessing step is reliable and robust peak detection without manual intervention. In this work we evaluate four state-of-the-art approaches for automated IMS-based peak detection: local maxima search, watershed transformation with IPHEx, region......-merging with VisualNow, and peak model estimation (PME).We manually generated Metabolites 2013, 3 278 a gold standard with the aid of a domain expert (manual) and compare the performance of the four peak calling methods with respect to two distinct criteria. We first utilize established machine learning methods...

  4. Development and characterization of a Pseudomonas aeruginosa in vitro coupled transcription-translation assay system for evaluation of translation inhibitors

    Science.gov (United States)

    Fyfe, Corey; Sutcliffe, Joyce A.; Grossman, Trudy H.

    2013-01-01

    Bacterial transcription and translation have proven to be effective targets for broad-spectrum antimicrobial therapies owing to the critical role they play in bacterial propagation and the overall conservation of the associated machinery involved. Escherichia coli is the most common source of S30 extract used in bacterial in vitro coupled transcription-translation assays, however, transcription-translation assays in other important pathogens including Staphylococcus aureus and Streptococcus pneumoniae have been described (Murray et al., 2001; Dandliker et al., 2003). Pseudomonas aeruginosa is an important and difficult-to-treat Gram-negative pathogen. In a drug discovery program, to de-risk any potential species specificity of novel inhibitors, we developed and optimized a robust method for the preparation of S30 extract from P. aeruginosa strain PAO1. Further, a P. aeruginosa transcription-translation assay using a firefly luciferase reporter plasmid was validated and compared to an E. coli S30-based system using a wide range of antibiotics encompassing multiple classes of translation inhibitors. Results showed a similar ranking of the activities of known inhibitors, illustrative of the high degree of conservation between the transcription-translation pathways in both organisms. PMID:22677604

  5. Generalization Evaluation of Machine Learning Numerical Observers for Image Quality Assessment.

    Science.gov (United States)

    Kalayeh, Mahdi M; Marin, Thibault; Brankov, Jovan G

    2013-06-01

    In this paper, we present two new numerical observers (NO) based on machine learning for image quality assessment. The proposed NOs aim to predict human observer performance in a cardiac perfusion-defect detection task for single-photon emission computed tomography (SPECT) images. Human observer (HumO) studies are now considered to be the gold standard for task-based evaluation of medical images. However such studies are impractical for use in early stages of development for imaging devices and algorithms, because they require extensive involvement of trained human observers who must evaluate a large number of images. To address this problem, numerical observers (also called model observers) have been developed as a surrogate for human observers. The channelized Hotelling observer (CHO), with or without internal noise model, is currently the most widely used NO of this kind. In our previous work we argued that development of a NO model to predict human observers' performance can be viewed as a machine learning (or system identification) problem. This consideration led us to develop a channelized support vector machine (CSVM) observer, a kernel-based regression model that greatly outperformed the popular and widely used CHO. This was especially evident when the numerical observers were evaluated in terms of generalization performance. To evaluate generalization we used a typical situation for the practical use of a numerical observer: after optimizing the NO (which for a CHO might consist of adjusting the internal noise model) based upon a broad set of reconstructed images, we tested it on a broad (but different) set of images obtained by a different reconstruction method. In this manuscript we aim to evaluate two new regression models that achieve accuracy higher than the CHO and comparable to our earlier CSVM method, while dramatically reducing model complexity and computation time. The new models are defined in a Bayesian machine-learning framework: a channelized

  6. Automatic translation among spoken languages

    Science.gov (United States)

    Walter, Sharon M.; Costigan, Kelly

    1994-01-01

    The Machine Aided Voice Translation (MAVT) system was developed in response to the shortage of experienced military field interrogators with both foreign language proficiency and interrogation skills. Combining speech recognition, machine translation, and speech generation technologies, the MAVT accepts an interrogator's spoken English question and translates it into spoken Spanish. The spoken Spanish response of the potential informant can then be translated into spoken English. Potential military and civilian applications for automatic spoken language translation technology are discussed in this paper.

  7. Effectiveness of hamstring knee rehabilitation exercise performed in training machine vs. elastic resistance: electromyography evaluation study.

    Science.gov (United States)

    Jakobsen, Markus Due; Sundstrup, Emil; Andersen, Christoffer H; Persson, Roger; Zebis, Mette K; Andersen, Lars L

    2014-04-01

    The aim of this study was to evaluate muscle activity during hamstring rehabilitation exercises performed in training machine compared with elastic resistance. Six women and 13 men aged 28-67 yrs participated in a crossover study. Electromyographic (EMG) activity was recorded in the biceps femoris and the semitendinosus during the concentric and the eccentric phase of hamstring curls performed with TheraBand elastic tubing and Technogym training machines and normalized to maximal voluntary isometric contraction-EMG (normalized EMG). Knee joint angle was measured using electronic inclinometers. Training machines and elastic resistance showed similar high levels of muscle activity (biceps femoris and semitendinosus peak normalized EMG >80%). EMG during the concentric phase was higher than during the eccentric phase regardless of exercise and muscle. However, compared with machine exercise, slightly lower (P knee joint angle for the semitendinosus and the biceps femoris during the concentric and the eccentric phase, respectively. Perceived loading (Borg CR10) was significantly higher (P exercise performed with elastic resistance induces similar peak hamstring muscle activity but slightly lower EMG values at more extended knee angles and with higher perceived loading as hamstring curls using training machines.

  8. Process monitoring evaluation and implementation for the wood abrasive machining process.

    Science.gov (United States)

    Saloni, Daniel E; Lemaster, Richard L; Jackson, Steven D

    2010-01-01

    Wood processing industries have continuously developed and improved technologies and processes to transform wood to obtain better final product quality and thus increase profits. Abrasive machining is one of the most important of these processes and therefore merits special attention and study. The objective of this work was to evaluate and demonstrate a process monitoring system for use in the abrasive machining of wood and wood based products. The system developed increases the life of the belt by detecting (using process monitoring sensors) and removing (by cleaning) the abrasive loading during the machining process. This study focused on abrasive belt machining processes and included substantial background work, which provided a solid base for understanding the behavior of the abrasive, and the different ways that the abrasive machining process can be monitored. In addition, the background research showed that abrasive belts can effectively be cleaned by the appropriate cleaning technique. The process monitoring system developed included acoustic emission sensors which tended to be sensitive to belt wear, as well as platen vibration, but not loading, and optical sensors which were sensitive to abrasive loading.

  9. Evaluation of the Machinability of Cast Ti-Si Alloys with Varying Si Content

    Science.gov (United States)

    Hsu, Hsueh-Chuan; Wu, Shih-Ching; Hsu, Shih-Kuang; Hsu, Chih-Cheng; Ho, Wen-Fu

    2016-05-01

    This study evaluated the machinability of a series of binary Ti-Si alloys with a goal of developing a titanium alloy with better machinability than commercially pure titanium (c.p. Ti). The alloys were slotted using a milling machine and end mills under four cutting conditions. Machinability was evaluated through cutting force. The experimental results indicate that alloying with Si significantly improved the machinability of c.p. Ti in terms of cutting force under the present cutting conditions. As the Si content increases, the cutting force decreases then greatly increases. The cutting forces of c.p. Ti and the Ti-Si alloys increased as the feed rate increased from 30 to 60 m/min under the cutting speed of 55 or 110 m/min. The cutting force of Ti-5Si at cutting speed 55 m/min was approximately 49% lower than that of c.p. Ti; at cutting speed 110 m/min, it was approximately 62% lower than that of c.p. Ti. The cutting force of Ti-10Si was significantly higher than those of the other Ti-Si alloys and c.p. Ti, a result that can be explained by a higher degree of hardness (626 HV) and larger amounts of Ti5Si3 (47.10 vol.%). For Ti-5Si, there was no obvious adhesion of chips observed on the cut surfaces. Furthermore, the specimens had the lowest surface roughness (Ra) values, approximately 0.3-0.4 μm, under the four cutting conditions. When cutting force, chip length, and surface roughness results are considered, the Ti-5Si alloy developed in this study is a viable candidate for machining.

  10. Electronic gaming machine warning messages: information versus self-evaluation.

    Science.gov (United States)

    Monaghan, Sally; Blaszczynski, Alex

    2010-01-01

    Regulators have extensively used warning signs in many health domains to enhance knowledge and shift attitudes and behaviors to reduce associated harm. The effectiveness of these signs is influenced by their physical attributes and content. Gambling warning signs traditionally focus on the following: informing individuals of the potentially risky outcomes of gambling and the odds of winning, encouraging gambling within affordable limits, and advertising counseling services. The limited evidence suggests that warning signs for gambling attract attention and improve knowledge but are generally ineffective in modifying players' thoughts and behaviors. Therefore, the authors aimed to determine the optimal content of messages that would enhance responsible gambling practices. The authors conclude that, in contrast with signs displaying probabilities or informing players of the risks associated with gambling, signs designed to encourage players to reflect on, appraise, evaluate, and self-regulate their actions have greater theoretical and empirical support. The authors comment that warning signs should promote the application of self-appraisal and self-regulation skills rather than the simple provision of information on odds and probabilities to maximize their effectiveness as a public health tool.

  11. Terra: a Collection of Translation Error-Annotated Corpora

    OpenAIRE

    Popović, Maja; Fishel, Mark; Bojar, Ondřej

    2012-01-01

    Recently the first methods of automatic diagnostics of machine translation have emerged; since this area of research is relatively young, the efforts are not coordinated. We present a collection of translation error-annotated corpora, consisting of automatically produced trans- lations and their detailed manual translation error analysis. Using the collected corpora we evaluate the available state-of-the-art methods of MT diagnostics and assess, how well the methods perform, how they...

  12. Heterogeneity at work: implications of the 2012 Clinical Translational Science Award evaluators survey.

    Science.gov (United States)

    Kane, Cathleen; Alexander, Angela; Hogle, Janice A; Parsons, Helen M; Phelps, Lauren

    2013-12-01

    The Clinical and Translational Science Award (CTSA) program is an ambitious multibillion dollar initiative sponsored by the National Institutes of Health (NIH) organized around the mission of facilitating the improved quality, efficiency, and effectiveness of translational health sciences research across the country. Although the NIH explicitly requires internal evaluation, funded CTSA institutions are given wide latitude to choose the structure and methods for evaluating their local CTSA program. The National Evaluators Survey was developed by a peer-led group of local CTSA evaluators as a voluntary effort to understand emerging differences and commonalities in evaluation teams and techniques across the 61 CTSA institutions funded nationwide. This article presents the results of the 2012 National Evaluators Survey, finding significant heterogeneity in evaluation staffing, organization, and methods across the 58 CTSAs institutions responding. The variety reflected in these findings represents both a liability and strength. A lack of standardization may impair the ability to make use of common metrics, but variation is also a successful evolutionary response to complexity. Additionally, the peer-led approach and simple design demonstrated by the questionnaire itself has value as an example of an evaluation technique with potential for replication in other areas across the CTSA institutions or any large-scale investment where multiple related teams across a wide geographic area are given the latitude to develop specialized approaches to fulfilling a common mission.

  13. Quantifying nonhomogeneous colors in agricultural materials. Part II: comparison of machine vision and sensory panel evaluations.

    Science.gov (United States)

    Balaban, M O; Aparicio, J; Zotarelli, M; Sims, C

    2008-11-01

    The average colors of mangos and apples were measured using machine vision. A method to quantify the perception of nonhomogeneous colors by sensory panelists was developed. Three colors out of several reference colors and their perceived percentage of the total sample area were selected by untrained panelists. Differences between the average colors perceived by panelists and those from the machine vision were reported as DeltaE values (color difference error). Effects of nonhomogeneity of color, and using real samples or their images in the sensory panels on DeltaE were evaluated. In general, samples with more nonuniform colors had higher DeltaE values, suggesting that panelists had more difficulty in evaluating more nonhomogeneous colors. There was no significant difference in DeltaE values between the real fruits and their screen image, therefore images can be used to evaluate color instead of the real samples.

  14. An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation.

    Science.gov (United States)

    Nguyen, Huu-Tho; Md Dawal, Siti Zawiah; Nukman, Yusoff; Aoyama, Hideki; Case, Keith

    2015-01-01

    Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve the productivity and flexibility in manufacturing. The aim of this study is to present an integrated approach for decision-making in machine tool selection. This paper is focused on the integration of a consistent fuzzy AHP (Analytic Hierarchy Process) and a fuzzy COmplex PRoportional ASsessment (COPRAS) for multi-attribute decision-making in selecting the most suitable machine tool. In this method, the fuzzy linguistic reference relation is integrated into AHP to handle the imprecise and vague information, and to simplify the data collection for the pair-wise comparison matrix of the AHP which determines the weights of attributes. The output of the fuzzy AHP is imported into the fuzzy COPRAS method for ranking alternatives through the closeness coefficient. Presentation of the proposed model application is provided by a numerical example based on the collection of data by questionnaire and from the literature. The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment.

  15. An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation.

    Directory of Open Access Journals (Sweden)

    Huu-Tho Nguyen

    Full Text Available Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve the productivity and flexibility in manufacturing. The aim of this study is to present an integrated approach for decision-making in machine tool selection. This paper is focused on the integration of a consistent fuzzy AHP (Analytic Hierarchy Process and a fuzzy COmplex PRoportional ASsessment (COPRAS for multi-attribute decision-making in selecting the most suitable machine tool. In this method, the fuzzy linguistic reference relation is integrated into AHP to handle the imprecise and vague information, and to simplify the data collection for the pair-wise comparison matrix of the AHP which determines the weights of attributes. The output of the fuzzy AHP is imported into the fuzzy COPRAS method for ranking alternatives through the closeness coefficient. Presentation of the proposed model application is provided by a numerical example based on the collection of data by questionnaire and from the literature. The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment.

  16. Characteristic evaluation of Al2O3/CNTs hybrid materials for micro-electrical discharge machining

    Institute of Scientific and Technical Information of China (English)

    Hyun-Seok TAK; Chang-Seung HA; Ho-Jun LEE; Hyung-Woo LEE; Young-Keun JEONG; Myung-Chang KANG

    2011-01-01

    The characteristic evaluation of aluminum oxide (Al2O3)/carbon nanotubes (CNTs) hybrid composites for micro-electrical discharge machining (EDM) was described. Alumina matrix composites reinforced with CNTs were fabricated by a catalytic chemical vapor deposition method. Al2O3 composites with different CNT concentrations were synthesized. The electrical characteristic of Al2O3/CNTs composites was examined. These composites were machined by the EDM process according to the various EDM parameters, and the characteristics of machining were analyzed using field emission scanning electron microscope (FESEM). The electrical conductivity has a increasing tendency as the CNTs content is increased and has a critical point at 5% Al2O3 (volume fraction). In the machining accuracy, many tangles of CNT in Al2O3/CNTs composites cause violent spark. Thus, it causes the poor dimensional accuracy and circularity. The results show that conductivity of the materials and homogeneous distribution of CNTs in the matrix are important factors for micro-EDM of Al2O3/CNTs hybrid composites.

  17. Impact of corpus domain for sentiment classification: An evaluation study using supervised machine learning techniques

    Science.gov (United States)

    Karsi, Redouane; Zaim, Mounia; El Alami, Jamila

    2017-07-01

    Thanks to the development of the internet, a large community now has the possibility to communicate and express its opinions and preferences through multiple media such as blogs, forums, social networks and e-commerce sites. Today, it becomes clearer that opinions published on the web are a very valuable source for decision-making, so a rapidly growing field of research called “sentiment analysis” is born to address the problem of automatically determining the polarity (Positive, negative, neutral,…) of textual opinions. People expressing themselves in a particular domain often use specific domain language expressions, thus, building a classifier, which performs well in different domains is a challenging problem. The purpose of this paper is to evaluate the impact of domain for sentiment classification when using machine learning techniques. In our study three popular machine learning techniques: Support Vector Machines (SVM), Naive Bayes and K nearest neighbors(KNN) were applied on datasets collected from different domains. Experimental results show that Support Vector Machines outperforms other classifiers in all domains, since it achieved at least 74.75% accuracy with a standard deviation of 4,08.

  18. 78 FR 26646 - Office of Health Assessment and Translation Evaluation of the State of the Science for...

    Science.gov (United States)

    2013-05-07

    ... From the Federal Register Online via the Government Publishing Office ] DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health Office of Health Assessment and Translation Evaluation of... SUMMARY: The Office of Health Assessment and Translation (OHAT) of the Division of the National...

  19. Computational Principle and Performance Evaluation of Coherent Ising Machine Based on Degenerate Optical Parametric Oscillator Network

    Directory of Open Access Journals (Sweden)

    Yoshitaka Haribara

    2016-04-01

    Full Text Available We present the operational principle of a coherent Ising machine (CIM based on a degenerate optical parametric oscillator (DOPO network. A quantum theory of CIM is formulated, and the computational ability of CIM is evaluated by numerical simulation based on c-number stochastic differential equations. We also discuss the advanced CIM with quantum measurement-feedback control and various problems which can be solved by CIM.

  20. Performance Evaluation of Machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images

    OpenAIRE

    Marc Wieland; Massimiliano Pittore

    2014-01-01

    In this study, a classification and performance evaluation framework for the recognition of urban patterns in medium (Landsat ETM, TM and MSS) and very high resolution (WorldView-2, Quickbird, Ikonos) multi-spectral satellite images is presented. The study aims at exploring the potential of machine learning algorithms in the context of an object-based image analysis and to thoroughly test the algorithm’s performance under varying conditions to optimize their usage for urban pattern recognitio...

  1. Translation and psychometric evaluation of a Swedish version of the parental stressor scale PSS: NICU.

    Science.gov (United States)

    Månsson, Catrin; Jakobsson, Ulf; Lundqvist, Pia

    2016-03-01

    The aim was to translate the Parental Stressor Scale: Neonatal Intensive Care Unit (PSS: NICU) into the Swedish language and to evaluate the psychometric properties of the Swedish version. The PSS: NICU was translated into Swedish using the process of forward-backward translation. Thereafter, an internal panel of neonatal nurses (n = 10) assessed face and content validity and a panel of parents (n = 10) assessed content validity. A sample of 95 parents recruited from three different neonatal units completed the PSS: NICU and answered some open-ended questions in which they could comment on language and wording. There were eight new items in the PSS: NICU, compared with the very first version of the instrument. These had not been psychometrically tested previously. In this study, the subscales and total scale were analysed both with and without the new items to determine whether or not to use them. Psychometric properties including internal consistency, Cronbach's alpha (if item deleted) and corrected item total were evaluated. The result indicates that the Swedish version of PSS: NICU, both with and without the nonvalidated items, has acceptable psychometric properties and can be used in clinical practice in NICUs in Sweden. In order to meet the psychological needs of parents, healthcare professionals need to identify risk factors in the Neonatal Intensive Care Unit that contribute to stress amongst parents. The Swedish version of the PSS: NICU can be used for this purpose. © 2015 Nordic College of Caring Science.

  2. A tool for urban soundscape evaluation applying Support Vector Machines for developing a soundscape classification model.

    Science.gov (United States)

    Torija, Antonio J; Ruiz, Diego P; Ramos-Ridao, Angel F

    2014-06-01

    To ensure appropriate soundscape management in urban environments, the urban-planning authorities need a range of tools that enable such a task to be performed. An essential step during the management of urban areas from a sound standpoint should be the evaluation of the soundscape in such an area. In this sense, it has been widely acknowledged that a subjective and acoustical categorization of a soundscape is the first step to evaluate it, providing a basis for designing or adapting it to match people's expectations as well. In this sense, this work proposes a model for automatic classification of urban soundscapes. This model is intended for the automatic classification of urban soundscapes based on underlying acoustical and perceptual criteria. Thus, this classification model is proposed to be used as a tool for a comprehensive urban soundscape evaluation. Because of the great complexity associated with the problem, two machine learning techniques, Support Vector Machines (SVM) and Support Vector Machines trained with Sequential Minimal Optimization (SMO), are implemented in developing model classification. The results indicate that the SMO model outperforms the SVM model in the specific task of soundscape classification. With the implementation of the SMO algorithm, the classification model achieves an outstanding performance (91.3% of instances correctly classified).

  3. TISs-ST: a web server to evaluate polymorphic translation initiation sites and their reflections on the secretory targets

    Directory of Open Access Journals (Sweden)

    Menossi Marcelo

    2007-05-01

    Full Text Available Abstract Background The nucleotide sequence flanking the translation initiation codon (start codon context affects the translational efficiency of eukaryotic mRNAs, and may indicate the presence of an alternative translation initiation site (TIS to produce proteins with different properties. Multi-targeting may reflect the translational variability of these other protein forms. In this paper we present a web server that performs computations to investigate the usage of alternative translation initiation sites for the synthesis of new protein variants that might have different functions. Results An efficient web-based tool entitled TISs-ST (Translation Initiation Sites and Secretory Targets evaluates putative translation initiation sites and indicates the prediction of a signal peptide of the protein encoded from this site. The TISs-ST web server is freely available to both academic and commercial users and can be accessed at http://ipe.cbmeg.unicamp.br/pub/TISs-ST. Conclusion The program can be used to evaluate alternative translation initiation site consensus with user-specified sequences, based on their composition or on many position weight matrix models. TISs-ST provides analytical and visualization tools for evaluating the periodic frequency, the consensus pattern and the total information content of a sequence data set. A search option allows for the identification of signal peptides from predicted proteins using the PrediSi software.

  4. Theorizing About Translation and Translation Studies

    OpenAIRE

    Williams, Mukesh

    2012-01-01

    The act of translation between languages and cultures has been going on for centuries, but the act of theorizing about-translation is of recent origin. In the last forty years translation scholars have attempted to understand the process of translation and evaluate its merits giving rise to a whole range of conceptualizing which is now called translation studies. Translation studies , therefore, has grown within important scholastic enclosures of the west attempting to conduct political and i...

  5. Multi-Response Ergonomic Evaluation of Higher Age Group CNC Machine Operators

    Directory of Open Access Journals (Sweden)

    Imtiaz Ali Khan

    2014-08-01

    Full Text Available This work contributes to research on improving performance in a human-CNC machine interface (HCMI environment. A salient contribution of this study is the use of a load cell to measure human performance. The developed novel system can measure cognitive and motor action responses simultaneously. The performance measurement system designed for this work may be used in other fields where systems are operated using control panels and for observing and evaluating the responses of mentally retarded persons (or persons with symptoms of Alzheimer‟s disease. The search time, motor action time and applied force were selected as response variables to accurately evaluate a computer numerically controlled (CNC machine operator‟s performance. Based on a Taguchi experimental design, a full factorial design consisting of 27 (33 experiments was used to collect data on human performance. The collected data were analyzed using grey relational analysis, analysis of variance (ANOVA and the F-test. ANOVA was performed using Design-Expert software. The designed research was shown to have a reasonable degree of validity via a confirmation test. This study represents an effective approach for the optimization of a higher age group operator-CNC machine interface environment with multi-performance characteristics based on a combination of the Taguchi method and grey relational analysis.

  6. EXPERIMENTAL EVALUATION OF NUMERICAL MODELS TO REPRESENT THE STIFFNESS OF LAMINATED ROTOR CORES IN ELECTRICAL MACHINES

    Directory of Open Access Journals (Sweden)

    HIDERALDO L. V. SANTOS

    2013-08-01

    Full Text Available Usually, electrical machines have a metallic cylinder made up of a compacted stack of thin metal plates (referred as laminated core assembled with an interference fit on the shaft. The laminated structure is required to improve the electrical performance of the machine and, besides adding inertia, also enhances the stiffness of the system. Inadequate characterization of this element may lead to errors when assessing the dynamic behavior of the rotor. The aim of this work was therefore to evaluate three beam models used to represent the laminated core of rotating electrical machines. The following finite element beam models are analyzed: (i an “equivalent diameter model”, (ii an “unbranched model” and (iii a “branched model”. To validate the numerical models, experiments are performed with nine different electrical rotors so that the first non-rotating natural frequencies and corresponding vibration modes in a free-free support condition are obtained experimentally. The models are evaluated by comparing the natural frequencies and corresponding vibration mode shapes obtained experimentally with those obtained numerically. Finally, a critical discussion of the behavior of the beam models studied is presented. The results show that for the majority of the rotors tested, the “branched model” is the most suitable

  7. Thermodynamic evaluation of new absorbent mixtures of lithium bromide and organic salts for absorption refrigeration machines

    Energy Technology Data Exchange (ETDEWEB)

    Donate, Marina; Rodriguez, Luis; Lucas, Antonio De; Rodriguez, Juan F. [Department of Chemical Engineering, University of Castilla-La Mancha, Avda. de Camilo Jose Cela s/n, 13004 Ciudad Real (Spain)

    2006-01-01

    Mixtures of lithium bromide and organic salts of sodium and potassium (formate, acetate and lactate) have been evaluated as alternative absorbents for absorption refrigeration machines. The main objective is to overpass the limitations of lithium bromide and improve the characteristics and the efficiency of the refrigeration cycle. In order to select the mixture that presents better properties for its employment in absorption refrigeration cycles, a thermodynamic analysis have been done. Density, viscosity, enthalpies of dilution, solubility and vapour pressure data of the proposed mixtures have been measured. A simulation program has been developed to evaluate temperatures, heats exchanged in the different sections and the efficiency of the cycle. (author)

  8. HINDI TRANSLATION AND PSYCHOMETRIC EVALUATION OF THE OSWESTRY DISABILITY INDEX (ODI VERSION 2.1a

    Directory of Open Access Journals (Sweden)

    Kanika Sinha

    2014-11-01

    Full Text Available Study Design: Methodological Study, translation Objective: To translate the original English version of Oswestry Disability Index Version-2.1a into Hindi language and to assess its content validity, Internal Consistency and Test-Retest reliability. Summary of Background Data: ODI has been validated, and used as an outcome measure for various Low Back Pain conditions and its Hindi version is not available. Methods: The translation was carried out in accordance with the Linguistic validation of a Patient Reported Outcomes Measure, provided by the Mapi institute. Content validity was evaluated through Qualitative (Wallace & McKenzie and Quantitative methods (Lawshe. Internal Consistency and Test-retest Reliability was examined on 50 patients. Results: Internal consistency for Hindi ODI version 2.1a was excellent with Cronbach‟s alpha=0.947. The intraclass correlation coefficient of test–retest reliability was 0.900. Conclusion: The results of this study indicate that the Hindi version of the ODI 2.1a is a reliable and valid instrument for the measurement of disability in patients with low back pain.

  9. Evaluation and recognition of skin images with aging by support vector machine

    Science.gov (United States)

    Hu, Liangjun; Wu, Shulian; Li, Hui

    2016-10-01

    Aging is a very important issue not only in dermatology, but also cosmetic science. Cutaneous aging involves both chronological and photoaging aging process. The evaluation and classification of aging is an important issue with the medical cosmetology workers nowadays. The purpose of this study is to assess chronological-age-related and photo-age-related of human skin. The texture features of skin surface skin, such as coarseness, contrast were analyzed by Fourier transform and Tamura. And the aim of it is to detect the object hidden in the skin texture in difference aging skin. Then, Support vector machine was applied to train the texture feature. The different age's states were distinguished by the support vector machine (SVM) classifier. The results help us to further understand the mechanism of different aging skin from texture feature and help us to distinguish the different aging states.

  10. Modeling powder encapsulation in dosator-based machines: II. Experimental evaluation.

    Science.gov (United States)

    Khawam, Ammar; Schultz, Leon

    2011-12-15

    A theoretical model was previously derived to predict powder encapsulation in dosator-based machines. The theoretical basis of the model was discussed earlier. In this part; the model was evaluated experimentally using two powder formulations with substantially different flow behavior. Encapsulation experiments were performed using a Zanasi encapsulation machine under two sets of experimental conditions. Model predicted outcomes such as encapsulation fill weight and plug height were compared to those experimentally obtained. Results showed a high correlation between predicted and actual outcomes demonstrating the model's success in predicting the encapsulation of both formulations. The model is a potentially useful in silico analysis tool that can be used for capsule dosage form development in accordance to quality by design (QbD) principles.

  11. Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation

    CERN Document Server

    Voorsluys, William; Venugopal, Srikumar; Buyya, Rajkumar

    2011-01-01

    Virtualization has become commonplace in modern data centers, often referred as "computing clouds". The capability of virtual machine live migration brings benefits such as improved performance, manageability and fault tolerance, while allowing workload movement with a short service downtime. However, service levels of applications are likely to be negatively affected during a live migration. For this reason, a better understanding of its effects on system performance is desirable. In this paper, we evaluate the effects of live migration of virtual machines on the performance of applications running inside Xen VMs. Results show that, in most cases, migration overhead is acceptable but cannot be disregarded, especially in systems where availability and responsiveness are governed by strict Service Level Agreements. Despite that, there is a high potential for live migration applicability in data centers serving modernInternet applications. Our results are based on a workload covering the domain of multi-tier We...

  12. Evaluation of the Mechanical Durability of the Egyptian Machine Readable Booklet Passport

    Directory of Open Access Journals (Sweden)

    Ahmed Mahmoud Yosri

    2013-12-01

    Full Text Available In 2008 the first Egyptian booklet Machine Readable Passport/ MRP has been issued and its security and informative standard quality levels were proved in a research published in 2011. Here the durability profiles of the Egyptian MRP have been evaluated. Seven mechanical durability tests were applied on the Egyptian MRP. Such tests are specified in the International Civil Aviation Organization / ICAO standard requirements documents. These seven very severe durability tests resulted in that the Egyptian MRP has achieved better & higher results than the values detected in ICAO-Doc N0232: Durability of Machine Readable Passports - Version: 3.2. Hence, this research had proved the complete conformance between the Egyptian MRP mechanical durability profiles to the international requirements. The Egyptian booklet MRP doesn’t need any obligatory modification concerning its mechanical durability profiles.

  13. Application of machine learning for the evaluation of turfgrass plots using aerial images

    Science.gov (United States)

    Ding, Ke; Raheja, Amar; Bhandari, Subodh; Green, Robert L.

    2016-05-01

    Historically, investigation of turfgrass characteristics have been limited to visual ratings. Although relevant information may result from such evaluations, final inferences may be questionable because of the subjective nature in which the data is collected. Recent advances in computer vision techniques allow researchers to objectively measure turfgrass characteristics such as percent ground cover, turf color, and turf quality from the digital images. This paper focuses on developing a methodology for automated assessment of turfgrass quality from aerial images. Images of several turfgrass plots of varying quality were gathered using a camera mounted on an unmanned aerial vehicle. The quality of these plots were also evaluated based on visual ratings. The goal was to use the aerial images to generate quality evaluations on a regular basis for the optimization of water treatment. Aerial images are used to train a neural network so that appropriate features such as intensity, color, and texture of the turfgrass are extracted from these images. Neural network is a nonlinear classifier commonly used in machine learning. The output of the neural network trained model is the ratings of the grass, which is compared to the visual ratings. Currently, the quality and the color of turfgrass, measured as the greenness of the grass, are evaluated. The textures are calculated using the Gabor filter and co-occurrence matrix. Other classifiers such as support vector machines and simpler linear regression models such as Ridge regression and LARS regression are also used. The performance of each model is compared. The results show encouraging potential for using machine learning techniques for the evaluation of turfgrass quality and color.

  14. Translation into Brazilian Portuguese, cultural adaptation and validation of the Prosthesis Evaluation Questionnaire

    Directory of Open Access Journals (Sweden)

    Carolina Conrad

    2015-06-01

    Full Text Available BACKGROUND: Quality of life has been one of the main issues for patients with a chronic condition.OBJECTIVE: To translate, adapt and validate a Brazilian Portuguese version of the Prosthesis Evaluation Questionnaire (PEQ.METHODS: The questionnaire was translated into Portuguese, back translated into English, and cross-culturally adapted to the Brazilian Population. Sixty-five transtibial unilateral amputees were recruited. The sample comprised 45 men and 20 women with a mean age of 44 years, 47 with traumatic amputations, 14 with vascular dysfunction and 4 with other reasons for amputation, and all of them fitted with prostheses. Patients were interviewed twice, at baseline and again after 15 days. The Brazilian Portuguese version of the SF-36 (a generic Quality of Life outcome measure and the FIM (a Functional Independence Measure were also administered.RESULTS: The internal consistency of the nine PEQ scales was tested by computing Cronbach's Alpha coefficients (0.65 - 0.89: high values. Student's t test coefficients were used for interobserver evaluation (0.35 to 084: reliable values with one exception- the Residual Limb Health scale, and Intraclass Correlation Coefficients (ICC, which ranged from 0.65 to 0.92: reliable values. Student's t test coefficients and ICCs were also used for intraobserver evaluation (0.42 to 0.83, except the Residual Limb Health scale and 0.80 to 0.94, respectively: reliable values. Correlations between PEQ, SF-36 and FIM were tested using Pearson's correlation coefficients, which were not statistically significant (p > 0, 01.CONCLUSION: The Brazilian-Portuguese version of the PEQ has high internal consistency and is a reliable quality of life measure for use in amputee patients, but is not associated with the SF-36 or FIM.

  15. 理性主义与经验主义相结合的机器翻译研究策略%Rationalism and Empiricism on the Combination in Machine Translation

    Institute of Scientific and Technical Information of China (English)

    徐金安

    2011-01-01

    主要介绍了基于规则、基于实例和基于统计等3种主流机器翻译方法,探讨了自然语言处理技术和机器翻译中基于规则的理性主义方法和基于统计的经验主义方法的优缺点,结合机器翻译研究的现状和发展方向,提出了规则和统计相结合的机器翻译方法的基本思路,阐述了词义消歧中的理性主义方法和经验主义方法相结合的发展方向,对机器翻译的发展趋势进行了探讨.%This paper firstly discussed the development of machine translation, secondly described the advantages and disadvantages of the rationalism and empiricism in natural language processing and machine translation, and thirdly introduced our basic ideas of combination of the rule-based approach and statistical approach.Furthermore, the paper deliberated the tendency of combination of the rationalism and empiricism in word sense disambiguation, finally summarized the developmental tendency of machine translation.

  16. [EULAR recommendations for patient education of people with inflammatory arthritis. Translation and evaluation in Germany].

    Science.gov (United States)

    Patermann, J; Ehlebracht-König, I; Lind-Albrecht, G; Genth, E; Reusch, A; Küffner, R; Müller-Ladner, U; Braun, J

    2016-03-01

    In 2015 EULAR published recommendations for patient education of people with inflammatory arthritis. The recommendations included two superior principles and eight recommendations based on the level of evidence and expert knowledge. The German translation of the recommendations was evaluated by 15 German experts. Experts graded the strength of the recommendations (SOR) on an 11 point numerical rating scale (from 0 = no agreement to 10 = total agreement). The mean score was 8,8 ± 0,49.

  17. A Cognitive Approach to the Compilation of Test Materials for the Evaluation of Translator's Skills

    Directory of Open Access Journals (Sweden)

    Elena Berg

    2016-12-01

    Full Text Available A Cognitive Approach to the Compilation of Test Materials for the Evaluation of Translator's Skills This paper discusses the importance of a cognitive approach to the evaluation of translator’s skills. The authors set forth their recommendations for the compilation of test materials for the evaluation of translators’ cognitive ability.   Kognitywne podejście do kompilowania tekstów służących ocenie umiejętności tłumacza Artykuł porusza wagę kognitywnego podejścia do ewaluacji umiejętności tłumacza. Autorzy przedstawiają swoje zalecenia co do kompilowania materiałów testowych do ewaluacji kognitywnych zdolności tłumacza.

  18. A protocol for a systematic review of the use of process evaluations in knowledge translation research.

    Science.gov (United States)

    Scott, Shannon D; Rotter, Thomas; Hartling, Lisa; Chambers, Thane; Bannar-Martin, Katherine H

    2014-12-23

    Experimental designs for evaluating knowledge translation (KT) interventions for professional behavior change can provide strong estimates of intervention effectiveness but offer limited insight how the intervention worked or not. Furthermore, trials provide little insight into the ways through which interventions lead to behavior change and how they are moderated by different facilitators and barriers. As a result, the ability to generalize the findings from one study to a different context, organization, or clinical problem is severely compromised. Consequently, researchers have started to explore the causal mechanisms in complementary studies (process evaluations) alongside experimental designs for evaluating KT interventions. This study focuses on improving process evaluations by synthesizing current evidence on process evaluations conducted alongside experimental designs for evaluating KT interventions. A medical research librarian will develop and implement search strategies designed to identify evidence that is relevant to process evaluations in health research. Studies will not be excluded based on design. Included studies must contain a process evaluation component aimed at understanding or evaluating a KT intervention targeting professional behavior change. Two reviewers will perform study selection, quality assessment, and data extraction using standard forms. Disagreements will be resolved through discussion or third party adjudication. Data to be collected include study design, details about data collection approaches and types, theoretical influences, approaches to evaluate intervention dose delivered, intervention dose received, intervention fidelity, intervention reach, data analysis, and study outcomes. This study is not registered with PROSPERO. There is widespread acceptance that the generalizability of quantitative trials of KT interventions would be significantly enhanced to other contexts, health professional groups, and clinical conditions

  19. A planning quality evaluation tool for prostate adaptive IMRT based on machine learning

    Energy Technology Data Exchange (ETDEWEB)

    Zhu Xiaofeng; Ge Yaorong; Li Taoran; Thongphiew, Danthai; Yin Fangfang; Wu, Q Jackie [Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27708 (United States); Department of Biomedical Engineering, Wake Forest University Health Sciences, Medical Center Boulevard, Winston-Salem, North Carolina 27106 (United States); Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27708 (United States); Department of Radiation Oncology, Brody School of Medicine, East Carolina University, Greenville, North Carolina 27834 (United States); Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27708 (United States)

    2011-02-15

    Purpose: To ensure plan quality for adaptive IMRT of the prostate, we developed a quantitative evaluation tool using a machine learning approach. This tool generates dose volume histograms (DVHs) of organs-at-risk (OARs) based on prior plans as a reference, to be compared with the adaptive plan derived from fluence map deformation. Methods: Under the same configuration using seven-field 15 MV photon beams, DVHs of OARs (bladder and rectum) were estimated based on anatomical information of the patient and a model learned from a database of high quality prior plans. In this study, the anatomical information was characterized by the organ volumes and distance-to-target histogram (DTH). The database consists of 198 high quality prostate plans and was validated with 14 cases outside the training pool. Principal component analysis (PCA) was applied to DVHs and DTHs to quantify their salient features. Then, support vector regression (SVR) was implemented to establish the correlation between the features of the DVH and the anatomical information. Results: DVH/DTH curves could be characterized sufficiently just using only two or three truncated principal components, thus, patient anatomical information was quantified with reduced numbers of variables. The evaluation of the model using the test data set demonstrated its accuracy {approx}80% in prediction and effectiveness in improving ART planning quality. Conclusions: An adaptive IMRT plan quality evaluation tool based on machine learning has been developed, which estimates OAR sparing and provides reference in evaluating ART.

  20. Figure of merit for macrouniformity based on image quality ruler evaluation and machine learning framework

    Science.gov (United States)

    Wang, Weibao; Overall, Gary; Riggs, Travis; Silveston-Keith, Rebecca; Whitney, Julie; Chiu, George; Allebach, Jan P.

    2013-01-01

    Assessment of macro-uniformity is a capability that is important for the development and manufacture of printer products. Our goal is to develop a metric that will predict macro-uniformity, as judged by human subjects, by scanning and analyzing printed pages. We consider two different machine learning frameworks for the metric: linear regression and the support vector machine. We have implemented the image quality ruler, based on the recommendations of the INCITS W1.1 macro-uniformity team. Using 12 subjects at Purdue University and 20 subjects at Lexmark, evenly balanced with respect to gender, we conducted subjective evaluations with a set of 35 uniform b/w prints from seven different printers with five levels of tint coverage. Our results suggest that the image quality ruler method provides a reliable means to assess macro-uniformity. We then defined and implemented separate features to measure graininess, mottle, large area variation, jitter, and large-scale non-uniformity. The algorithms that we used are largely based on ISO image quality standards. Finally, we used these features computed for a set of test pages and the subjects' image quality ruler assessments of these pages to train the two different predictors - one based on linear regression and the other based on the support vector machine (SVM). Using five-fold cross-validation, we confirmed the efficacy of our predictor.

  1. CONTROL SYSTEM EVALUATION AND IMPLEMENTATION FOR THE ABRASIVE MACHINING PROCESS ON WOOD

    Directory of Open Access Journals (Sweden)

    Stephen Jackson

    2011-06-01

    Full Text Available Continuous process improvement and automation have proven to be powerful tools for the wood processing industries in order to obtain better final product quality and thus increase profits. Abrasive machining represents an important and relevant process in the manufacturing and processing of wood products, which also implies high cost of materials and labor; therefore, special attention to this process is necessary. The objective of this work was to evaluate and demonstrate a process control system for use in the abrasive machining of wood and wood-based products. A control system was created on LabView® to integrate the monitoring process and the actions required, depending on the abrasive machining process conditions. The system acquires information from the optical sensor to detect loading and activate the cleaning system. The system continuously monitors the condition of the abrasive belt (tool wear by using an acoustic emission sensor and alerts the operator of the status of the belt (green, yellow, and red lights indicating satisfactory, medium, and poor belt condition. The system also incorporates an additional safety device, which helps prevent permanent damage to the belt, equipment, or workpiece by alerting the operator when an excessive temperature has been reached. The process control system proved that automation permits enhancement in the consistency of the belt cleaning technique by the elimination of the human errors. Furthermore, this improvement also affects the cost by extending the life of the belt, which reduces setup time, belt cost, operation cost, as well as others.

  2. In vitro evaluation of osteoblastic cell adhesion on machined osseointegrated implants

    Directory of Open Access Journals (Sweden)

    Sandra Fabiano Alves

    2009-06-01

    Full Text Available At present the major consideration in planning an implant design is to seek biocompatible surfaces that promote a favorable response from both cells and host tissues. Different treatments of implant surfaces may modulate the adhesion, proliferation and phenotypic expression of osteoblastic cells. For this reason, the aim of the present study was to evaluate the biocompatibility of an implant surface, observing adhesion, cell morphology and proliferation of osteoblast-like cells cultivated on a commercially available titanium dental implant (Titamax Liso®, Neodent, Curitiba, PR, Brazil. The implant samples were immersed into an osteoblast-like cell (Osteo-1 suspension for a period of 24, 48 and 72 hours. After seeding the cells, the samples were prepared for analyses through scanning electron microscopy. Based on the surface analysis, the osteoblastic cells adhered to the machined surface after 24 hours in culture. In 48 hours, the cells spread over the implant surface, and after 72 hours a proliferation of cells with large and flat bodies was observed over the machined implant surface. These results demonstrate that the machined titanium surface studied is biocompatible since it allowed adhesion and proliferation of the osteoblast-like cells, in addition to preserving cell integrity and the morphologic characteristics of cells during the studied period.

  3. Statistical Machine Translation of Japanese

    Science.gov (United States)

    2007-03-01

    spoken, it may be phonologically displayed as /W AA T AA SH IY/, where each of the six elements between the slashes is a written representation of...phonemes. A chart showing the possible assignment of kana to phonemes is in Figure 3.1. The complete phonetic symbol set in Table 6.4 is the set of...sequences output by the recognizer. 6.6 Acoustic Model 66 The acoustic model, P(O|S) from Bayes’ rule, maps acoustic features to distinct phonetic

  4. THE EVALUATION OF EFFICIENCY OF THE USE OF MACHINE WORKING TIME IN THE INDUSTRIAL COMPANY – CASE STUDY

    Directory of Open Access Journals (Sweden)

    Edyta KARDAS

    2017-10-01

    Full Text Available In the paper the evaluation of efficiency of the use of machines in the selected production company was presented. The OEE method (Overall Equipment Effectiveness was used for the analysis. The selected company deals with the produc-tion of tapered roller bearings. The analysis of effectiveness was done for 17 automatic grinding lines working in the department of grinding rollers. Low level of efficiency of machines was affected by problems with the availability of ma-chines and devices. The causes of machine downtime on these lines was also analyzed. Three basic causes of downtime were identified: no kanban card, diamonding, no operator. Ways to improve the use of these machines were suggested. The analysis takes into account the actual results from the production process and covers the period of one calendar year.

  5. Using critical realistic evaluation to support translation of research into clinical practice.

    Science.gov (United States)

    Swift, Michelle C; Langevin, Marilyn; Clark, Alexander M

    2017-06-01

    A challenge that speech-language pathologists (SLPs) face is the translation of research into clinical practice. While randomised controlled trials (RCTs) are often touted as the "gold standard" of efficacy research, much valuable information is lost through the process; RCTs by nature are designed to wash out individual client factors and contexts that might influence the outcome in order to present the "true" impact of the intervention. However, in the area of behavioural interventions, the interaction of client factors and contexts with the treatment agent can substantially influence the outcome. This paper provides an overview of the theoretical background and methods involved in critical realistic evaluation (CRE) and discusses its current and potential application to speech-language pathology. CRE is based on the premise that a behavioural intervention cannot be evaluated without considering the context in which it was provided. While the ways in which contextual aspects and treatment mechanisms interact may seem endless, CRE methodology attempts to operationalise them into hypotheses to be empirically tested. Research based on these principles has the potential to support clinical translation of research outcomes and reduce the costs of unsuccessful treatment attempts for SLPs, clients and the service provider.

  6. Investigation and Evaluation on Influence of Machining (CNC Conditions on Surface Quality of Paulownia Wood

    Directory of Open Access Journals (Sweden)

    Mohammad Aghajani

    2012-01-01

    Full Text Available The aim of this study was to investigate the effective factors on surface quality of paulownia wood during machining by advanced computer numerical controled (CNC machine. For this aim paulownia logs were provided and were converted to proper sizes (2.5 x 10 x 15 cm and then air dried. The Variable of this study were cutting speed (8.37 and 15.07 m/s, feeding rate (6 and 12 m/min, cutting depth (1and 5 mm, cutting method (down and up-milling and cutting pattern (tangential and radial. Roughness of cut specimens edge were evaluated by profilometer method according to ISO 13565 standard. For evaluation of surface quality, average roughness (Ra, maximum roughness (R max, valley roughness (Rv and peak roughness (Rp were used. Degrees of effectiveness of the parameters were evaluated by fractional factorial design as completely random design at confidence level of 95%. The result showed that cutting speed, cutting method and feed rate are influencive factors on surface quality of machined specimens and their effects were significant. With increasing cutting speed and decreasing feeding rate the roughness decreased and surface quality improved. In up-milling cutting method, degree of roughness was higher and consequently surface quality was inferior. It is to be noted that cutting method in comparison to other factors had the high influence on surface quality. The rest variables did now have independent influence on surface quality at 95% Confidence level. This study for achieving the optimum surface quality recommends that cutting speed of 15.07 m/s, feeding rate of 6 m/min, cutting method of down-milling and cutting depth of 1 mm for tangential cross section.

  7. Translator awareness Translator awareness

    Directory of Open Access Journals (Sweden)

    Wolfram Wilss

    2008-04-01

    Full Text Available If we want to encompass adequately the wide-ranging field of human translation, it is necessary to include in translation studies (TS the concept of translator awareness (or translator consciousness, for that matter. However, this is more easily said than done, because this concept does not easily lend itself to definition, let alone to measurement, e. g., by investigating translator behaviour. To put it bluntly: Translator awareness is a fuzzy concept. Like many obviously difficult-to-define concepts, with which dialogue in TS is burdened, translator awareness lacks an articulated theory within which different forms of translator behaviour can be convincingly related to, or distinguished from, one another. Hence, TS has so far not tackled, at least not systematically, the issue of translator awareness. If we want to encompass adequately the wide-ranging field of human translation, it is necessary to include in translation studies (TS the concept of translator awareness (or translator consciousness, for that matter. However, this is more easily said than done, because this concept does not easily lend itself to definition, let alone to measurement, e. g., by investigating translator behaviour. To put it bluntly: Translator awareness is a fuzzy concept. Like many obviously difficult-to-define concepts, with which dialogue in TS is burdened, translator awareness lacks an articulated theory within which different forms of translator behaviour can be convincingly related to, or distinguished from, one another. Hence, TS has so far not tackled, at least not systematically, the issue of translator awareness.

  8. The challenges of translating the clinical outcomes in Routine Evaluation-Outcome Measure (CORE-OM) into British Sign Language.

    Science.gov (United States)

    Rogers, Katherine D; Young, Alys; Lovell, Karina; Evans, Chris

    2013-01-01

    This article discusses translation issues arising during the production of a British Sign Language (BSL) version of the psychological outcome measure "Clinical Outcomes in Routine Evaluation-Outcome Measure" (CORE-OM). The process included forward translation, meeting with a team of translators, producing a second draft of the BSL version and back translating into English. Further modifications were made to the BSL version before piloting it with d/Deaf populations. Details of the translation process are addressed, including (a) the implications of translating between modalities (written text to visual language); (b) clarity of frequency anchors: analog versus digital encoding; (c) pronouns and the direction of signing; and (iv) the influence of the on-screen format. The discussion of item-specific issues encountered when producing a BSL version of the CORE-OM includes the expression of precise emotional states in a language that uses visual modifiers, problems associated with iconic signs, and the influence of Deaf world knowledge when interpreting specific statements. Finally, it addresses the extent to which lessons learned through this translation process are generalizable to other signed languages and spoken language translations of standardized instruments. Despite the challenges, a BSL version of the CORE-OM has been produced and found to be reliable.

  9. Finite State Machine Based Evaluation Model for Web Service Reliability Analysis

    CERN Document Server

    M, Thirumaran; Abarna, S; P, Lakshmi

    2011-01-01

    Now-a-days they are very much considering about the changes to be done at shorter time since the reaction time needs are decreasing every moment. Business Logic Evaluation Model (BLEM) are the proposed solution targeting business logic automation and facilitating business experts to write sophisticated business rules and complex calculations without costly custom programming. BLEM is powerful enough to handle service manageability issues by analyzing and evaluating the computability and traceability and other criteria of modified business logic at run time. The web service and QOS grows expensively based on the reliability of the service. Hence the service provider of today things that reliability is the major factor and any problem in the reliability of the service should overcome then and there in order to achieve the expected level of reliability. In our paper we propose business logic evaluation model for web service reliability analysis using Finite State Machine (FSM) where FSM will be extended to analy...

  10. Evaluating diabetes health policies using natural experiments: the natural experiments for translation in diabetes study.

    Science.gov (United States)

    Ackermann, Ronald T; Kenrik Duru, O; Albu, Jeanine B; Schmittdiel, Julie A; Soumerai, Stephen B; Wharam, James F; Ali, Mohammed K; Mangione, Carol M; Gregg, Edward W

    2015-06-01

    The high prevalence and costs of type 2 diabetes makes it a rapidly evolving focus of policy action. Health systems, employers, community organizations, and public agencies have increasingly looked to translate the benefits of promising research interventions into innovative policies intended to prevent or control diabetes. Though guided by research, these health policies provide no guarantee of effectiveness and may have opportunity costs or unintended consequences. Natural experiments use pragmatic and available data sources to compare specific policies to other policy alternatives or predictions of what would likely have happened in the absence of any intervention. The Natural Experiments for Translation in Diabetes (NEXT-D) Study is a network of academic, community, industry, and policy partners, collaborating to advance the methods and practice of natural experimental research, with a shared aim of identifying and prioritizing the best policies to prevent and control diabetes. This manuscript describes the NEXT-D Study group's multi-sector natural experiments in areas of diabetes prevention or control as case examples to illustrate the selection, design, analysis, and challenges inherent to natural experimental study approaches to inform development or evaluation of health policies.

  11. Tunnelling in urban areas by EPB machines: technical evaluation of the system

    Directory of Open Access Journals (Sweden)

    Cardu Marilena

    2011-06-01

    Full Text Available The paper refers to the methods adopted for building a high-speed railway tunnel system between Bologna and Firenze (Italy, focusing attention on the Bologna node which represents the heart of the system, connecting the high speed network's main lines. The project includes 9 tunnels, accounting for 73 km of the 78 km route crossing below the Apennines. The paper pays attention to the main aspects to be taken into consideration for correctly choosing the tunnel boring machinery (TBM tobe used in urban areas. Thefundamental point in analysing technical aspects regarding an earth pressure balance (
    EPB machine concerned storing the main excavation parameter values; having collected and organised such data, statistical methods were used for processing it, the instantaneous velocities attained were empirically estimated and idle times were evaluated. The evaluation was made by calculating excavation specific energies (during different
    excavation phases to find a satisfactory correlation with the type of ground crossed. Interesting results have been found by comparison with other excavation parameters; in particular, a better understanding of an earth pressure balance shield's working phases has been reached thanks to an experimental study conducted during the construction of tunnels for a high-speed railway system in Italy. The paper contains details collected regarding the operation of two different EPB machines.

  12. Evaluation of vehicle interior sound quality using a continuous restricted Boltzmann machine-based DBN

    Science.gov (United States)

    Huang, Hai B.; Li, Ren X.; Yang, Ming L.; Lim, Teik C.; Ding, Wei P.

    2017-02-01

    The perception of vehicle interior sound quality is important for passengers. In this paper, a feature fusion process for extracting the characteristics of vehicle interior noise is studied, and an improved deep belief network (DBN) that uses continuous restricted Boltzmann machines (CRBMs) to model continuous data is proposed. Six types of vehicles are used for recording interior noise under different working conditions, and a corresponding subjective evaluation is implemented. Psychoacoustic metrics and energy-based criteria using the wavelet transform (WT), wavelet packet transform (WPT), empirical mode decomposition (EMD), critical-band-based pass filter, and Mel-scale-based triangular filer approaches have been applied to extract interior noise features and then develop a fusing feature set combining psychoacoustic metrics and critical band energy based on comparisons. Using the obtained fusion feature set, a CRBM-based DBN (CRBM-DBN) model is developed through experiments. The newly developed model is verified by comparing its performance relative to multiple linear regression (MLR), backpropagation neural network (BPNN), and support vector machine (SVM) models. The results show that the proposed CRBM-DBN model has a lower prediction error and higher correlation coefficient with human perception compared to the other considered methods. In addition, CRBM-DBN outperforms BPNN and SVM in terms of stability and reliability. The presented approach may be regarded as a promising method for evaluating vehicle noise.

  13. An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data.

    Science.gov (United States)

    Liu, Yuzhe; Gopalakrishnan, Vanathi

    2017-03-01

    Many clinical research datasets have a large percentage of missing values that directly impacts their usefulness in yielding high accuracy classifiers when used for training in supervised machine learning. While missing value imputation methods have been shown to work well with smaller percentages of missing values, their ability to impute sparse clinical research data can be problem specific. We previously attempted to learn quantitative guidelines for ordering cardiac magnetic resonance imaging during the evaluation for pediatric cardiomyopathy, but missing data significantly reduced our usable sample size. In this work, we sought to determine if increasing the usable sample size through imputation would allow us to learn better guidelines. We first review several machine learning methods for estimating missing data. Then, we apply four popular methods (mean imputation, decision tree, k-nearest neighbors, and self-organizing maps) to a clinical research dataset of pediatric patients undergoing evaluation for cardiomyopathy. Using Bayesian Rule Learning (BRL) to learn ruleset models, we compared the performance of imputation-augmented models versus unaugmented models. We found that all four imputation-augmented models performed similarly to unaugmented models. While imputation did not improve performance, it did provide evidence for the robustness of our learned models.

  14. Using a symbiotic man/machine approach to evaluating visual clinical research data.

    Science.gov (United States)

    Long, J M; Irani, E A; Hunter, D W; Slagle, J R; Matts, J P; Castaneda, W; Pearce, M; Bissett, J; Sawin, H; Edmiston, A

    1988-10-01

    Some candidate medical expert system applications have a significant visual component. Knowledge engineers usually dismiss such task domains as potential expert systems applications. Our success in developing ESCA, a system for evaluating serial coronary angiograms, shows that such task domains should not be dismissed so quickly. We used a symbiotic approach between man and machine, where technologists provide the visual skills with an expert system imitating the conceptual skills of the expert, to produce a partially automated system that is more consistent and cost effective than one that is fully manual. The agreement between the system's conclusions and that of a panel of experts is good. The expert system actually has a slightly higher agreement rate with the expert panel than the agreement rate between two expert panel teams evaluating the same film pair.

  15. Automatic Evaluation and Uniform Filter Cascades for Inducing N-Best Translation Lexicons

    CERN Document Server

    Melamed, I D

    1995-01-01

    This paper shows how to induce an N-best translation lexicon from a bilingual text corpus using statistical properties of the corpus together with four external knowledge sources. The knowledge sources are cast as filters, so that any subset of them can be cascaded in a uniform framework. A new objective evaluation measure is used to compare the quality of lexicons induced with different filter cascades. The best filter cascades improve lexicon quality by up to 137% over the plain vanilla statistical method, and approach human performance. Drastically reducing the size of the training corpus has a much smaller impact on lexicon quality when these knowledge sources are used. This makes it practical to train on small hand-built corpora for language pairs where large bilingual corpora are unavailable. Moreover, three of the four filters prove useful even when used with large training corpora.

  16. Evaluation of pairwise entanglement in translationally invariant systems with the random phase approximation

    CERN Document Server

    Matera, Juan Mauricio; Canosa, Norma; 10.1103/PhysRevA.78.042319

    2011-01-01

    We discuss a general mean field plus random phase approximation (RPA) for describing composite systems at zero and finite temperature. We analyze in particular its implementation in finite systems invariant under translations, where for uniform mean fields it requires just the solution of simple local-type RPA equations. As test and application, we use the method for evaluating the entanglement between two spins in cyclic spin 1/2 chains with both long and short range anisotropic XY-type couplings in a uniform transverse magnetic field. The approach is shown to provide an accurate analytic description of the concurrence for strong fields, for any coupling range, pair separation or chain size, where it predicts an entanglement range which can be at most twice that of interaction. It also correctly predicts the existence of a separability field together with full entanglement range in its vicinity. The general accuracy of the approach improves as the range of the interaction increases.

  17. Measuring Cognitive Translation Effort with Activity Units

    DEFF Research Database (Denmark)

    Schaeffer, Moritz; Carl, Michael; Lacruz, Isabel

    2016-01-01

    Despite the increased quality of Machine Translation output, human interaction will remain a crucial activity to guarantee the quality of the final translation products. Human-computer interaction in translation will likely be the more successful the more we understand the properties and compleme...... methods in empirical translation process research and suggests ngrams of Activity Units for measuring the translation process....

  18. Design and Performance Evaluation of a Corn De-Cobbing and Separating Machine

    Directory of Open Access Journals (Sweden)

    Oriaku E.C

    2014-06-01

    Full Text Available Agricultural products like maize, soya bean, millet and rice, when processed into quality forms not only prolongs the useful life of these products, but increases the net profit farmers make from mechanization technologies of such products. One of the most important processing operations done to bring out the quality of maize is de-cobbing or threshing of maize. Consequently, a de-cobbing and separation machine was designed, fabricated and its performance evaluated. Corn at moisture content of 15.14% db sourced locally was used in the experiment and the data collected were analyzed. Results showed that for a total 20kg of sample tested, the average feed and threshing time were 2.37 and 2.95 minutes respectively. The average feed and threshing rates were 2.06 and 1.65 kg/min with an average threshing efficiency of 78.93 %. The average separation efficiency was 56.06 %. These results indicate that threshing and separation can be performed out satisfactorily with the designed machine and it can be used to process about 1 tonne of maize per nine-hour shift.

  19. Enhancement in Evaluating Small Group Work in Courses with Large Number of Students. Machine Theory at Industrial Engineering Degrees

    Science.gov (United States)

    Jordi Nebot, Lluïsa; Pàmies-Vilà, Rosa; Català Calderon, Pau; Puig-Ortiz, Joan

    2013-01-01

    This article examines new tutoring evaluation methods to be adopted in the course, Machine Theory, in the Escola Tècnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB, Universitat Politècnica de Catalunya). These new methods have been developed in order to facilitate teaching staff work and include students in the evaluation process.…

  20. Integrating economic evaluation methods into clinical and translational science award consortium comparative effectiveness educational goals.

    Science.gov (United States)

    Iribarne, Alexander; Easterwood, Rachel; Russo, Mark J; Wang, Y Claire

    2011-06-01

    With the ongoing debate over health care reform in the United States, public health and policy makers have paid growing attention to the need for comparative effectiveness research (CER). Recent allocation of federal funds for CER represents a significant move toward increased evidence-based practice and better-informed allocation of constrained health care resources; however, there is also heated debate on how, or whether, CER may contribute to controlling national health care expenditures. Economic evaluation, in the form of cost-effectiveness or cost-benefit analysis, is often an aspect of CER studies, yet there are no recommendations or guidelines for providing clinical investigators with the necessary skills to collect, analyze, and interpret economic data from clinical trials or observational studies. With an emphasis on multidisciplinary research, the Clinical and Translational Science Award (CTSA) consortium and institutional CTSA sites serve as an important resource for training researchers to engage in CER. In this article, the authors discuss the potential role of CTSA sites in integrating economic evaluation methods into their comparative effectiveness education goals, using the Columbia University Medical Center CTSA as an example. By allowing current and future generations of clinical investigators to become fully engaged not only in CER but also in the economic evaluations that result from such analyses, CTSA sites can help develop the necessary foundation for advancing research to guide clinical decision making and efficient use of limited resources.

  1. Ranking translations using error analysis and quality estimation

    OpenAIRE

    Fishel, Mark

    2013-01-01

    We describe TerrorCat, a submission to this year’s metrics shared task. It is a machine learning-based metric that is trained on manual ranking data from WMT shared tasks 2008–2012. Input features are generated by applying automatic translation error analysis to the translation hypotheses and calculating the error category frequency differences. We additionally experiment with adding quality estimation features in addition to the error analysis-based ones. When evaluated against WMT’2012 rank...

  2. Fabrication and evaluation of a reservoir tillage machine to reduce runoff from farms with sprinkler irrigation systems

    Directory of Open Access Journals (Sweden)

    M. A Rostami

    2016-09-01

    Full Text Available Introduction Nowadays, in a lot of farm land due to reasons such as high density, heavy textured soils, steep terrain and a large body of water at each irrigation, rapid and complete absorption of water in the soil does not happen and runoff will be accrued. Improvement of infiltration reduces runoff and thus increases available water capacity. The main methods used to increase the infiltration area: The use of soil amendments, soil management by tillage and conservation farming. These methods may be used separately or together. Reservoir tillage is the process by which small holes or depressions are punched in the soil to prevent runoff of water from irrigation or rainfall. The objective of this study was to develop and evaluate a new reservoir tillage machine for runoff control in the fields. Materials and Methods Fabricated machine has four main units include three-point hitch, toolbar, frame and tillage unit. Tillage unit was a spider wheel with 6 arms that has 6 Wedge-shaped blades, mounted on them. Each tillage unit mounted on a frame and the frame is attached to the toolbar with a yoke. The toolbar was attached to the tractor by three-point hitch. The movement of tractor caused blades impact soil and spider wheel was rotating. Spider wheel rotation speed was depended on the forward speed of the tractor. Blades were created mini-reservoirs on the soil surface for "In situ" irrigation water or rainwater harvesting. Theoretically distance between basins, created by reservoir tillage machine, fabricated in this study was 57 and 68 cm for Arm's length of 30 and 40 cm respectively. For the construction of machine, first the plan was drawn with SolidWorks software and then the parts of the machine were built based on technical drawings. First tillage unit was constructed and its shaft was based in two bearings. Six of the arms were positioned at 60 degrees from each other around tillage units and connected by welding. For evaluation of machine

  3. Fabrication and evaluation of a reservoir tillage machine to reduce runoff from farms with sprinkler irrigation systems

    Directory of Open Access Journals (Sweden)

    M. A Rostami

    2016-09-01

    Full Text Available Introduction Nowadays, in a lot of farm land due to reasons such as high density, heavy textured soils, steep terrain and a large body of water at each irrigation, rapid and complete absorption of water in the soil does not happen and runoff will be accrued. Improvement of infiltration reduces runoff and thus increases available water capacity. The main methods used to increase the infiltration area: The use of soil amendments, soil management by tillage and conservation farming. These methods may be used separately or together. Reservoir tillage is the process by which small holes or depressions are punched in the soil to prevent runoff of water from irrigation or rainfall. The objective of this study was to develop and evaluate a new reservoir tillage machine for runoff control in the fields. Materials and Methods Fabricated machine has four main units include three-point hitch, toolbar, frame and tillage unit. Tillage unit was a spider wheel with 6 arms that has 6 Wedge-shaped blades, mounted on them. Each tillage unit mounted on a frame and the frame is attached to the toolbar with a yoke. The toolbar was attached to the tractor by three-point hitch. The movement of tractor caused blades impact soil and spider wheel was rotating. Spider wheel rotation speed was depended on the forward speed of the tractor. Blades were created mini-reservoirs on the soil surface for "In situ" irrigation water or rainwater harvesting. Theoretically distance between basins, created by reservoir tillage machine, fabricated in this study was 57 and 68 cm for Arm's length of 30 and 40 cm respectively. For the construction of machine, first the plan was drawn with SolidWorks software and then the parts of the machine were built based on technical drawings. First tillage unit was constructed and its shaft was based in two bearings. Six of the arms were positioned at 60 degrees from each other around tillage units and connected by welding. For evaluation of machine

  4. Pattern recognition & machine learning

    CERN Document Server

    Anzai, Y

    1992-01-01

    This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

  5. On Yao's method of translation

    NARCIS (Netherlands)

    Liu, X.; Hoede, C.

    2002-01-01

    Machine Translation, i.e., translating one kind of natural language to another kind of natural language by using a computer system, is a very important research branch in Artificial Intelligence. Yao developed a method of translation that he called ``Lexical-Semantic Driven". In his system he introd

  6. An evaluation of the machinability of nitinol shape memory alloy by electrochemical polishing

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Eun Sang; Shin, Tae Hee [Inha University, Incheon (Korea, Republic of)

    2011-04-15

    Nitinol, a shape memory alloy (SMA), is manufactured from titanium and nickel, and is employed in various fields for use in devices such as micro sensors, ultra-precision devices and satellite wings. It is also highly recommended as a material in medical stents for insertion into the human body because it has excellent organic compatibility. However, because they are intended to be inserted into the human body, products such as medical stents require a high-quality surface. Because nitinol has more of the characteristics of titanium than of nickel, one of its drawbacks is that heat generated in nitinol during machining is not discharged smoothly and inner stress occurs when traditional machining methods are used. To overcome this difficulty, various non-traditional machining methods, including non-contact machining, have been investigated for use with nitinol. To further explore non-traditional machining methods that may be appropriate for use with nitinol, this study investigates the application of electrochemical polishing to the machining of nitinol. Characteristics of the electrochemical polishing (EP), a representative non-traditional machining, for nitinol SMA are studied. Nitinol SMA of the EP machining parameters such as electrolyte composition, applied current, machining time and inter electrode gap (IEG) are researched and the machined surface state is analyzed according to each parameters parameter. So, the most suitable EP machining conditions for nitinol SMA are derived.

  7. Performance evaluation of a five-phase modular external rotor PM machine with different rotor poles

    Directory of Open Access Journals (Sweden)

    A.S. Abdel-Khalik

    2012-12-01

    Full Text Available The performance of fault-tolerant modular permanent magnet (PM machines depends on the proper selection of the pole and slot numbers which result in negligible coupling between phases. The preferred slot and pole number combinations eliminate the effect of low order harmonics in the stator magneto motive force and thereby the vibration and stray loss are reduced. In this paper, three external rotor machines with identical machine dimensions are designed with different slots per phase per pole (SPP ratios. A simulation study is carried out using finite element analysis to compare the performance of the three machines in terms of machine torque density, ripple torque, core loss, and machine efficiency. A mathematical model based on the conventional phase model approach is also used for the comparative study. The simulation study is extended to depict machine performance under fault conditions.

  8. Evaluation of a health systems knowledge translation network for Africa (KTNET): a study protocol

    OpenAIRE

    Ekirapa-Kiracho, E.; Walugembe, D.R.; Tetui, M.; Kisakye, A.N.; Rutebemberwa, E; Sengooba, F.; Kananura, R.M.; Wensing, M; Kiwanuka, S.N.

    2014-01-01

    Background Despite the increasing investment in health-related research in Sub-Saharan Africa, a large gulf remains between what is known and what is practiced in health systems. Knowledge translation programs aim to ensure that a wide range of stakeholders are aware of and use research evidence to inform their health and health-care decision-making. The purpose of this study is to provide insight into the impacts on capacity building for knowledge translation and knowledge translation activi...

  9. An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications

    Energy Technology Data Exchange (ETDEWEB)

    Beaver, Justin M [ORNL; Borges, Raymond Charles [ORNL; Buckner, Mark A [ORNL

    2013-01-01

    Critical infrastructure Supervisory Control and Data Acquisition (SCADA) systems were designed to operate on closed, proprietary networks where a malicious insider posed the greatest threat potential. The centralization of control and the movement towards open systems and standards has improved the efficiency of industrial control, but has also exposed legacy SCADA systems to security threats that they were not designed to mitigate. This work explores the viability of machine learning methods in detecting the new threat scenarios of command and data injection. Similar to network intrusion detection systems in the cyber security domain, the command and control communications in a critical infrastructure setting are monitored, and vetted against examples of benign and malicious command traffic, in order to identify potential attack events. Multiple learning methods are evaluated using a dataset of Remote Terminal Unit communications, which included both normal operations and instances of command and data injection attack scenarios.

  10. Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

    Science.gov (United States)

    Goetz, J. N.; Brenning, A.; Petschko, H.; Leopold, P.

    2015-08-01

    Statistical and now machine learning prediction methods have been gaining popularity in the field of landslide susceptibility modeling. Particularly, these data driven approaches show promise when tackling the challenge of mapping landslide prone areas for large regions, which may not have sufficient geotechnical data to conduct physically-based methods. Currently, there is no best method for empirical susceptibility modeling. Therefore, this study presents a comparison of traditional statistical and novel machine learning models applied for regional scale landslide susceptibility modeling. These methods were evaluated by spatial k-fold cross-validation estimation of the predictive performance, assessment of variable importance for gaining insights into model behavior and by the appearance of the prediction (i.e. susceptibility) map. The modeling techniques applied were logistic regression (GLM), generalized additive models (GAM), weights of evidence (WOE), the support vector machine (SVM), random forest classification (RF), and bootstrap aggregated classification trees (bundling) with penalized discriminant analysis (BPLDA). These modeling methods were tested for three areas in the province of Lower Austria, Austria. The areas are characterized by different geological and morphological settings. Random forest and bundling classification techniques had the overall best predictive performances. However, the performances of all modeling techniques were for the majority not significantly different from each other; depending on the areas of interest, the overall median estimated area under the receiver operating characteristic curve (AUROC) differences ranged from 2.9 to 8.9 percentage points. The overall median estimated true positive rate (TPR) measured at a 10% false positive rate (FPR) differences ranged from 11 to 15pp. The relative importance of each predictor was generally different between the modeling methods. However, slope angle, surface roughness and plan

  11. Translations and Translators.

    Science.gov (United States)

    Nida, Eugene A.

    1979-01-01

    The necessity for stylistic appropriateness in translation as well as correct content is discussed. To acquire this skill, translators must be trained in stylistics through close examination of their own language and must have practice in translating for different audiences at different levels. (PMJ)

  12. Evaluating change in virtual reality adoption for brain injury rehabilitation following knowledge translation.

    Science.gov (United States)

    Glegg, Stephanie M N; Holsti, Liisa; Stanton, Sue; Hanna, Steven; Velikonja, Diana; Ansley, Barbara; Sartor, Denise; Brum, Christine

    2017-04-01

    To evaluate the impact of knowledge translation (KT) on factors influencing virtual reality (VR) adoption and to identify support needs of therapists. Intervention will be associated with improvements in therapists' perceived ease of use and self-efficacy, and an associated increase in intentions to use VR. Single group mixed-methods pre-test-post-test evaluation of convenience sample of physical, occupational and rehabilitation therapists (n=37) from two brain injury rehabilitation centres. ADOPT-VR administered pre/post KT intervention, consisting of interactive education, clinical manual, technical and clinical support. Increases in perceived ease of use (p=0.000) and self-efficacy (p=0.001), but not behavioural intention to use VR (p=0.158) were found following KT, along with decreases in the frequency of perceived barriers. Post-test changes in the frequency and nature of perceived facilitators and barriers were evident, with increased emphasis on peer influence, organisational-level supports and client factors. Additional support needs were related to clinical reasoning, treatment programme development, technology selection and troubleshooting. KT strategies hold potential for targeting therapists' perceptions of low self-efficacy and ease of use of this technology. Changes in perceived barriers, facilitators and support needs at post-test demonstrated support for repeated evaluation and multi-phased training initiatives to address therapists' needs over time. Implications for Rehabilitation Therapists' learning and support needs in integrating virtual reality extend beyond technical proficiency to include clinical decision-making and application competencies spanning the entire rehabilitation process. Phased, multi-faceted strategies may be valuable in addressing therapists' changing needs as they progress from novice to experienced virtual reality users. The ADOPT-VR is a sensitive measure to re-evaluate the personal, social, environmental, technology

  13. Shallow translational slides hazard evaluation in Santa Marta de Penaguião (Douro valley - Portugal)

    Science.gov (United States)

    Pereira, Susana; Luís Zêzere, José; Bateira, Carlos

    2010-05-01

    The present study is developed for the municipality of Santa Marta de Penaguião (70 square kilometers), located in the Douro Valley region (Northern Portugal). In the past, several destructive landslides occurred in this area, and were responsible for deaths and destruction of houses and roads. Despite these losses, mitigation and landslide zonation programs are missing, and the land use planning at the municipal level did not solve yet the problem. The study area is mainly composed by metamorphic rocks (e.g., schist and quartzite). These rocks are strongly fractured, and weathered materials are abundant in clayed schist, mainly in those areas where agricultural terraces were constructed centuries ago for the vineyard monoculture. From the geomorphologic point of view, the study area is characterized by deep incised valleys, tectonic depressions and slopes controlled by the geological structure. Elevation ranges from 49 m to 1416 m. The main landslide triggering factor is rainfall and the mean annual precipitation ranges from 700 mm (in the bottom of fluvial valleys) to 2500 mm (in the mountains top). A landslide inventory was performed in 2005-2009 using aerial photo-interpretation (1/5.000 scale) and field work. The inventory includes 848 landslides, most of shallow translational slide type (85% of total slope movements). The landslide density is 10.5 events/square kilometers, and the average landslide area is 535 square meters. The susceptibility to shallow translational slide occurrence was assessed at the 1: 10 000 scale in a GIS environment. Two different bivariate statistical methods were used to evaluate landslide susceptibility: the Information Value and the Fuzzy Logic Gamma operator. Eight conditioning factors were weighted and integrated to model susceptibility: slope angle, slope aspect, slope curvature, lithology, geomorphologic units, fault density, land use and terrace structures build in slopes. The susceptibility results were validated using a

  14. Development and field evaluation of an intercropping machine for corn and bean

    Directory of Open Access Journals (Sweden)

    A Mondani

    2016-09-01

    pulverizing lumps, mulching the surface and firming the underneath soil to provide a smooth uniform seedbed. In this study, the common bean seed (var. Derakhshan and corn hybrid seed (SC-704 with 93 and 83 percent of germination and 97 and 98 percent of purity, respectively, were used. This machine was operated in five different distance patterns between corn and bean seeds on each row: 55 mm and 215 mm in the first pattern, 85 mm and 185 mm in the second pattern, 110 mm and 150 mm in the third pattern, 130 mm and 120 mm in the fourth pattern, and 160 mm and 100 mm in the fifth pattern for corn and bean, respectively. For all patterns, the depth of planting for corn and bean seeds was chosen as 20, 40, and 60 mm. In addition, the forward speed was assumed to be constant (4 km h-1. By using split plots with three replicates and SAS software (2002, the results were analyzed. Results and Discussion The multiple index, miss index, precision index, and quality of feed index was evaluated. The analysis of variance for bean planting unit showed that difference distance between seeds and various planting depth were significantly higher for multiple index (P 0.05. The precision index was significant was affected by different levels of seeds distance (P 0.05. Conclusions The data suggested a higher quality index once corn and bean were respectively plated at 160 and 215 mm seed distance with a planting depth of 60 mm being optimum for each corn and bean.

  15. Evaluation of Machine Learning and Rules-Based Approaches for Predicting Antimicrobial Resistance Profiles in Gram-negative Bacilli from Whole Genome Sequence Data

    Directory of Open Access Journals (Sweden)

    Mitchell Pesesky

    2016-11-01

    Full Text Available The time-to-result for culture-based microorganism recovery and phenotypic antimicrobial susceptibility testing necessitate initial use of empiric (frequently broad-spectrum antimicrobial therapy. If the empiric therapy is not optimal, this can lead to adverse patient outcomes and contribute to increasing antibiotic resistance in pathogens. New, more rapid technologies are emerging to meet this need. Many of these are based on identifying resistance genes, rather than directly assaying resistance phenotypes, and thus require interpretation to translate the genotype into treatment recommendations. These interpretations, like other parts of clinical diagnostic workflows, are likely to be increasingly automated in the future. We set out to evaluate the two major approaches that could be amenable to automation pipelines: rules-based methods and machine learning methods. The rules-based algorithm makes predictions based upon current, curated knowledge of Enterobacteriaceae resistance genes. The machine-learning algorithm predicts resistance and susceptibility based on a model built from a training set of variably resistant isolates. As our test set, we used whole genome sequence data from 78 clinical Enterobacteriaceae isolates, previously identified to represent a variety of phenotypes, from fully-susceptible to pan-resistant strains for the antibiotics tested. We tested three antibiotic resistance determinant databases for their utility in identifying the complete resistome for each isolate. The predictions of the rules-based and machine learning algorithms for these isolates were compared to results of phenotype-based diagnostics. The rules based and machine-learning predictions achieved agreement with standard-of-care phenotypic diagnostics of 89.0% and 90.3%, respectively, across twelve antibiotic agents from six major antibiotic classes. Several sources of disagreement between the algorithms were identified. Novel variants of known resistance

  16. Evaluation of Machine Learning and Rules-Based Approaches for Predicting Antimicrobial Resistance Profiles in Gram-negative Bacilli from Whole Genome Sequence Data.

    Science.gov (United States)

    Pesesky, Mitchell W; Hussain, Tahir; Wallace, Meghan; Patel, Sanket; Andleeb, Saadia; Burnham, Carey-Ann D; Dantas, Gautam

    2016-01-01

    The time-to-result for culture-based microorganism recovery and phenotypic antimicrobial susceptibility testing necessitates initial use of empiric (frequently broad-spectrum) antimicrobial therapy. If the empiric therapy is not optimal, this can lead to adverse patient outcomes and contribute to increasing antibiotic resistance in pathogens. New, more rapid technologies are emerging to meet this need. Many of these are based on identifying resistance genes, rather than directly assaying resistance phenotypes, and thus require interpretation to translate the genotype into treatment recommendations. These interpretations, like other parts of clinical diagnostic workflows, are likely to be increasingly automated in the future. We set out to evaluate the two major approaches that could be amenable to automation pipelines: rules-based methods and machine learning methods. The rules-based algorithm makes predictions based upon current, curated knowledge of Enterobacteriaceae resistance genes. The machine-learning algorithm predicts resistance and susceptibility based on a model built from a training set of variably resistant isolates. As our test set, we used whole genome sequence data from 78 clinical Enterobacteriaceae isolates, previously identified to represent a variety of phenotypes, from fully-susceptible to pan-resistant strains for the antibiotics tested. We tested three antibiotic resistance determinant databases for their utility in identifying the complete resistome for each isolate. The predictions of the rules-based and machine learning algorithms for these isolates were compared to results of phenotype-based diagnostics. The rules based and machine-learning predictions achieved agreement with standard-of-care phenotypic diagnostics of 89.0 and 90.3%, respectively, across twelve antibiotic agents from six major antibiotic classes. Several sources of disagreement between the algorithms were identified. Novel variants of known resistance factors and

  17. Translation and cross-cultural adaptation of the protocol of orofacial myofunctional evaluation with scores for Italian Language.

    Science.gov (United States)

    Felício, Cláudia M de; Folha, Gislaine A; Ferreira, Claudia Lucia Pimenta; Paskay, Licia Coceani; Sforza, Chiarella

    2015-01-01

    The protocol of orofacial myofunctional evaluation with scores (OMES-protocol or AMIOFE in Portuguese language) is a validated instrument for the diagnosis of orofacial myofunctional disorders that can be used in clinical practice for speech-language pathologists. Because in the Italian language there is no validated tool for such purpose, this study was developed. To translate and culturally adapt the OMES-protocol for Italian language and determine the normal score value in a group of young Italian adults. The OMES-protocol was translated from English to Italian by three bilingual individuals. From these translations, a consensus version was prepared by a research committee (three speech therapists and one physician and submitted to a committee of judges composed by eight speech therapists experienced in the area. The authors of the original version verified and approved the Italian version of the protocol. The instrument was tested via evaluations of 40 young and grown-up Italians (age range: 18-56 years) performed by two speech therapists. A cutoff score, previously described, was used to determine the mean and standard deviation. The translation stage and the final Italian version of the OMES-protocol are shown. The mean of scores for individuals with and without orofacial myofunctional disorders were presented. The Italian version of the OMES-protocol was developed, translated, and cross-culturally adapted. Normal values for young and adult Italian subjects are presented.

  18. Translating Words, Translating Cultures

    Directory of Open Access Journals (Sweden)

    Richard Whitaker

    2012-03-01

    Full Text Available What exactly does (or should translation from one language into another try to do? Attempt to convey to readers of the target language (the language into which one is translating something of the strangeness, difference and historicity of the original in the source language (the language from which one is translating? Or must translation try to bridge the gap between source and target language, by rendering the original in a thoroughly contemporary style and diction, as if this were a work being written now for the first time? And related to these the further questions: how closely should a translation render the genre, language, metre, style and content of the original? How far can a translation depart from the original without ceasing to be a translation – in other words, where is one to situate the border between “translation”, “version” and “adaptation”?

  19. Online laboratory evaluation of seeding-machine application by an acoustic technique

    Energy Technology Data Exchange (ETDEWEB)

    Karimi, H.; Navid, H.; Mahmoudi, A.

    2015-07-01

    Researchers and planter manufacturers have been working closely to develop an automated system for evaluating performance of seeding. In the present study, an innovative use of acoustic signal for laboratory evaluation of seeding-machine application is described. Seed detection technique of the proposed system was based on a rising voltage value that a microphone sensed in each impaction of seeds to a steel plate. Online determining of seed spacing was done with a script which was written in MATLAB software. To evaluate the acoustic system with desired seed spacing, a testing rig was designed. Seeds of wheat, corn and pelleted tomato were used as experimental material. Typical seed patterns were positioned manually on a belt stand with different spacing patterns. When the belt was running, the falling seeds from the end point of the belt impacted to the steel plate, and their acoustic signal was sensed by the microphone. In each impact, data was processed and spacing between the seeds was automatically obtained. Coefficient of determination of gathered data from the belt system and the corresponding seeds spacing measured with the acoustic system in all runs was about 0.98. This strong correlation indicates that the acoustic system worked well in determining the seeds spacing. (Author)

  20. Translation lexicon acquisition from bilingual dictionaries

    Science.gov (United States)

    Doermann, David S.; Ma, Huanfeng; Karagol-Ayan, Burcu; Oard, Douglas W.

    2001-12-01

    Bilingual dictionaries hold great potential as a source of lexical resources for training automated systems for optical character recognition, machine translation and cross-language information retrieval. In this work we describe a system for extracting term lexicons from printed copies of bilingual dictionaries. We describe our approach to page and definition segmentation and entry parsing. We have used the approach to parse a number of dictionaries and demonstrate the results for retrieval using a French-English Dictionary to generate a translation lexicon and a corpus of English queries applied to French documents to evaluation cross-language IR.

  1. Validating the Japanese Translation of the Force and Motion Conceptual Evaluation and Comparing Performance Levels of American and Japanese Students

    Science.gov (United States)

    Ishimoto, Michi; Thornton, Ronald K.; Sokoloff, David R.

    2014-01-01

    This study assesses the Japanese translation of the Force and Motion Conceptual Evaluation (FMCE). Researchers are often interested in comparing the conceptual ideas of students with different cultural backgrounds. The FMCE has been useful in identifying the concepts of English-speaking students from different backgrounds. To identify effectively…

  2. TRII: A Probabilistic Scoring of Drosophila melanogaster Translation Initiation Sites

    Directory of Open Access Journals (Sweden)

    Rice Michael D

    2010-01-01

    Full Text Available Relative individual information is a measurement that scores the quality of DNA- and RNA-binding sites for biological machines. The development of analytical approaches to increase the power of this scoring method will improve its utility in evaluating the functions of motifs. In this study, the scoring method was applied to potential translation initiation sites in Drosophila to compute Translation Relative Individual Information (TRII scores. The weight matrix at the core of the scoring method was optimized based on high-confidence translation initiation sites identified by using a progressive partitioning approach. Comparing the distributions of TRII scores for sites of interest with those for high-confidence translation initiation sites and random sequences provides a new methodology for assessing the quality of translation initiation sites. The optimized weight matrices can also be used to describe the consensus at translation initiation sites, providing a quantitative measure of preferred and avoided nucleotides at each position.

  3. EVALUATION OF MACHINABILITY OF DUCTILE IRONS ALLOYED WITH Ni AND Cu IN TERMS OF CUTTING FORCES AND SURFACE QUALITY

    Directory of Open Access Journals (Sweden)

    Yücel AŞKUN

    2003-02-01

    Full Text Available Due to the enhanced strength, ductility and thoughness of Ductile Iron (DI when compared to the other types cast iron, its machinability is relatively poor. When a steel part is replaced with ductile iron, however, better machinability is considered to be the most important gain. This study presents the results of machining tests of ductile irons alloyed with Ni and Cu at various contents to determine the effect of their microstructure and mechanical properties on cutting forces and surface roughness. Six different specimen groups of ductile iron alloyed with various amounts of nickel and copper were subjected to machining tests and their machinabilities were investigated based on cutting forces and surface roughness criteria. The results were evaluated according to microstructure and mechanical properties of specimens determined before. In terms of both criterion, the best result obtained was specimen added 0.7 % Ni and 0.7 % Cu. When the specimens were evaluated according to their mechanical properties, the specimens alloyed 1 % Ni and 0.65 % Cu seemed promising.

  4. A Method to Evaluate the Performance of a Multiprocessor Machine based on Data Flow Principles

    OpenAIRE

    1989-01-01

    In this paper we present a method to model a static data pow oriented multiprocessor system. This methodology of modelling can be used to examine the machine behaviour for executing a program according to three scheduling strategies, viz., static, dynamic and quasi-dynamic policies. The processing elements (PEs) of the machine go through different states in order to complete tasks they are allotted. Hence, the time taken by the machine to execute a program is directly dependent on the tim...

  5. An information theory based approach for quantitative evaluation of man-machine interface complexity

    Energy Technology Data Exchange (ETDEWEB)

    Kang, Hyun Gook

    1999-02-15

    In complex and high-risk work conditions, especially such as in nuclear power plants, human understanding of the plant is highly cognitive and thus largely dependent on the effectiveness of the man-machine interface system. In order to provide more effective and reliable operating conditions for future nuclear power plants, developing more credible and easy to use evaluation methods will afford great help in designing interface systems in a more efficient manner. In this study, in order to analyze the human-machine interactions, I propose the Human-processor Communication(HPC) model which is based on the information flow concept. It identifies the information flow around a human-processor. Information flow has two aspects: appearance and content. Based on the HPC model, I propose two kinds of measures for evaluating a user interface from the viewpoint of these two aspects of information flow. They measure the communicative complexity of each aspect. In this study, for the evaluation of the aspect of appearance, I propose three complexity measures: Operation Complexity, Transition Complexity, and Screen Complexity. Each one of these measures has its own physical meaning. Two experiments carried out in this work support the utility of these measures. The result of the quiz game experiment shows that as the complexity of task context increases, the usage of the interface system becomes more complex. The experimental results of the three example systems(digital view, LDP style view and hierarchy view) show the utility of the proposed complexity measures. In this study, for the evaluation of the aspect of content, I propose the degree of informational coincidence, R (K, P) as a measure for the usefulness of an alarm-processing system. It is designed to perform user-oriented evaluation based on the informational entropy concept. It will be especially useful inearly design phase because designers can estimate the usefulness of an alarm system by short calculations instead

  6. To Weaken the Language Barriers for the Chinese Minorities by the Machine Translation Technology%利用机器翻译技术消弱少数民族语言障碍

    Institute of Scientific and Technical Information of China (English)

    吴凤娟

    2011-01-01

    As a multi-ethnic region, there are both advantages and disadvantages for China. The language barrier is always a great obstruction for the development of the minority nationalities. The machine translation specific to the languages of Chinese minorities contribute to advance the culture communication, to drive the economic growth and to build a harmonious society. By now some development has been made in this field. But if we want to get the actual applying effect, there is a long road before us. To advance the machine translation specific to the languages of Chinese minorities is of great significance.%我国多民族聚居的局面有利有弊,语言障碍一直是少数民族地区发展的巨大阻力.针对少数民族语言的机器翻译有助于推进文化交流、带动经济发展、建立和谐社会.目前该领域的研究已取得了一定进展,但要达到实际应用效果仍有较长的路要走.大力推进针对少数民族的机器翻译工作意义重大.

  7. A Comparative Study of "Google Translate" Translations: An Error Analysis of English-to-Persian and Persian-to-English Translations

    Science.gov (United States)

    Ghasemi, Hadis; Hashemian, Mahmood

    2016-01-01

    Both lack of time and the need to translate texts for numerous reasons brought about an increase in studying machine translation with a history spanning over 65 years. During the last decades, Google Translate, as a statistical machine translation (SMT), was in the center of attention for supporting 90 languages. Although there are many studies on…

  8. 面向移动终端的统计机器翻译解码定点化方法%A Fixed Point Decoding Approach for Statistical Machine Translation on Mobile Terminals

    Institute of Scientific and Technical Information of China (English)

    李响; 徐金安; 姜文斌; 吕雅娟; 刘群

    2011-01-01

    面向移动终端的统计机器翻译需求越来越多,但无浮点运算单元的处理器限制了翻译速度.该文提出了一种对统计机器翻译解码运算的定点化运算方法,缓解了无浮点运算单元的处理器对翻译速度的影响.基于PC和移动终端的实验表明,在保证翻译质量的情况下,利用定点处理浮点运算的解码器的运算速度较编译器模拟的浮点运算速度提高135.6%.因此,该方法可以有效地提高浮点运算能力薄弱的移动终端统计机器翻译速度.%The demand for statistical machine translation (SMT) on mobile terminals is increasing, but the processor without floating point unit (FPU) restricts the translation speed. This paper proposes an approach to switch floating point operation to fixed point operation for decoder of SMT system on mobile terminals, and increase the translation speed on the processor without FPU. The experiments based on PC and mobile terminal show while this approach assures the quality of translation, the speed of our approach is 135.6% faster than the speed of floating point operation emulated by compiler. Therefore, this approach can efficiently increase the translation speed of SMT system on mobile terminals with weak ability in floating point operation.

  9. Production and evaluation of measuring equipment for share viscosity of polymer melts included nanofiller with injection molding machine

    Science.gov (United States)

    Kameda, Takao; Sugino, Naoto; Takei, Satoshi

    2016-10-01

    Shear viscosity measurement device was produced to evaluate the injection molding workability for high-performance resins. Observation was possible in shear rate from 10 to 10000 [1/sec] that were higher than rotary rheometer by measuring with a plasticization cylinder of the injection molding machine. The result of measurements extrapolated result of a measurement of the rotary rheometer.

  10. Completeness of Compositional Translation for Context-Free Grammars

    CERN Document Server

    Huijsen, W O

    1996-01-01

    A machine translation system is said to be *complete* if all expressions that are correct according to the source-language grammar can be translated into the target language. This paper addresses the completeness issue for compositional machine translation in general, and for compositional machine translation of context-free grammars in particular. Conditions that guarantee translation completeness of context-free grammars are presented.

  11. A D3R prospective evaluation of machine learning for protein-ligand scoring

    Science.gov (United States)

    Sunseri, Jocelyn; Ragoza, Matthew; Collins, Jasmine; Koes, David Ryan

    2016-09-01

    We assess the performance of several machine learning-based scoring methods at protein-ligand pose prediction, virtual screening, and binding affinity prediction. The methods and the manner in which they were trained make them sufficiently diverse to evaluate the utility of various strategies for training set curation and binding pose generation, but they share a novel approach to classification in the context of protein-ligand scoring. Rather than explicitly using structural data such as affinity values or information extracted from crystal binding poses for training, we instead exploit the abundance of data available from high-throughput screening to approach the problem as one of discriminating binders from non-binders. We evaluate the performance of our various scoring methods in the 2015 D3R Grand Challenge and find that although the merits of some features of our approach remain inconclusive, our scoring methods performed comparably to a state-of-the-art scoring function that was fit to binding affinity data.

  12. Large-scale machine learning and evaluation platform for real-time traffic surveillance

    Science.gov (United States)

    Eichel, Justin A.; Mishra, Akshaya; Miller, Nicholas; Jankovic, Nicholas; Thomas, Mohan A.; Abbott, Tyler; Swanson, Douglas; Keller, Joel

    2016-09-01

    In traffic engineering, vehicle detectors are trained on limited datasets, resulting in poor accuracy when deployed in real-world surveillance applications. Annotating large-scale high-quality datasets is challenging. Typically, these datasets have limited diversity; they do not reflect the real-world operating environment. There is a need for a large-scale, cloud-based positive and negative mining process and a large-scale learning and evaluation system for the application of automatic traffic measurements and classification. The proposed positive and negative mining process addresses the quality of crowd sourced ground truth data through machine learning review and human feedback mechanisms. The proposed learning and evaluation system uses a distributed cloud computing framework to handle data-scaling issues associated with large numbers of samples and a high-dimensional feature space. The system is trained using AdaBoost on 1,000,000 Haar-like features extracted from 70,000 annotated video frames. The trained real-time vehicle detector achieves an accuracy of at least 95% for 1/2 and about 78% for 19/20 of the time when tested on ˜7,500,000 video frames. At the end of 2016, the dataset is expected to have over 1 billion annotated video frames.

  13. An empirical evaluation of the translation to Brazilian Portuguese of the Loss of Control over Eating Scale (LOCES

    Directory of Open Access Journals (Sweden)

    Felipe Q. da Luz

    2016-02-01

    Full Text Available Abstract Background Loss of control over eating is a key feature of the most prevalent eating disorders. The Loss of Control over Eating Scale (LOCES enables a thorough assessment of loss of control over eating. Objective This study empirically evaluated the translation of the LOCES from English to Brazilian Portuguese. Methods The scale was translated to Brazilian Portuguese and back translated to English in order to check accuracy of the translation. Two hundred and ninety-three medicine and nursing students, 60 males and 233 females, 18-55 years old, with mean body mass index (BMI 23.2 kg/m2 (SD 4.1, recruited between August and December 2014, answered the Brazilian Portuguese LOCES. An exploratory factor analysis was performed. Results Exploratory factor analysis of the Brazilian Portuguese LOCES showed three distinct factors of the loss of control over eating (disgust/negative sensations, cognitive experiences/dissociation, and “positive” effects as well as moderate consistency with previous reports of exploratory factor analysis of the English version. Discussion This study showed satisfactory translation of the LOCES from English to Brazilian Portuguese, which is now ready for further validation.

  14. Validating the Japanese translation of the Force and Motion Conceptual Evaluation and comparing performance levels of American and Japanese students

    Science.gov (United States)

    Ishimoto, Michi; Thornton, Ronald K.; Sokoloff, David R.

    2014-12-01

    This study assesses the Japanese translation of the Force and Motion Conceptual Evaluation (FMCE). Researchers are often interested in comparing the conceptual ideas of students with different cultural backgrounds. The FMCE has been useful in identifying the concepts of English-speaking students from different backgrounds. To identify effectively the conceptual ideas of Japanese students and to compare them to those of their English-speaking counterparts, more work is required. Because of differences between the Japanese and English languages, and between the Japanese and American educational systems, it is important to assess the Japanese translation of the FMCE, a conceptual evaluation originally developed in English for American students. To assess its appropriateness, we examined the performance of a large sample of students on the translated version of the FMCE and then compared the results to those of English-speaking students. The data comprise the pretest results of 1095 students, most of whom were first-year students at a midlevel engineering school between 2003 and 2012. Basic statistics and the classical test theory indices of the translated FMCE indicate that its reliability and discrimination are appropriate to assess Japanese students' concepts about force and motion. In general, the preconcepts of Japanese students assessed with the Japanese translation of the FMCE are quite similar to those of American students assessed with the FMCE, thereby supporting the validity of the translated version. However, our findings do show (1) that only a small percentage of Japanese students grasped Newtonian concepts and (2) that the percentage of Japanese students who used two different concept models together to answer some questions seems to be higher than that of American students.

  15. 从机器翻译历程看自然语言处理研究的发展策略%The Development Strategy for Natural Language Processing Research Inspired from a Historical View on Machine Translation

    Institute of Scientific and Technical Information of China (English)

    孙茂松; 周建设

    2016-01-01

    Machine translation (MT) is one of the major research fi elds of natural language processing (NLP), and it always spearheads the research frontier in NLP. In this paper, after a systematic survey of the development history of MT from a macroscopic perspective, with particular emphasis on the main development path of underlying methodologies and core technologies in MT, we drew a general picture of the milestones that marked the key points of a long journey for both theoretical study and practical accomplishment for the past seven decades. The latest fruitful development achieved in the area of MT application shows that, the paradigm shift from the tradi-tional linguistic rule-based approaches to the so-called empirical approach, based on increasingly available amounts of “raw data” in the form of massive collections of texts and their translations, compounded by the phenomenal advancement of computer technology, will become the driving force that will potentially lead to the breakthrough in MT. Based on the above observation and analysis, some sug-gestions on the short-term development strategy for machine translation as well as natural language processing in China are proposed.%本文试图从超脱细节的宏观角度,对机器翻译的发展历程进行扼要的总结和深刻的评介,着重于刻画各个时期在基本方法和核心技术上的主要特征,从而勾勒出机器翻译的全过程演进脉络。在上述考察和分析的基础上,文章对国内机器翻译乃至自然语言处理研究的近期发展策略提出了若干建议。

  16. A Taxonomy of Human Translation Styles

    DEFF Research Database (Denmark)

    Carl, Michael; Dragsted, Barbara; Lykke Jakobsen, Arnt

    2011-01-01

    While the translation profession becomes increasingly technological, we are still far from understanding how humans actually translate and how they could be best supported by machines. In this paper we outline a method which helps to uncover characteristics of human translation processes. Based o...... on the translators' activity data, we develop a taxonomy of translation styles. The taxonomy could serve to inform the development of advanced translation assistance tools and provide a basis for a felicitous and grounded integration of human machine interaction in translation....

  17. Modification and Performance Evaluation of a Low Cost Electro-Mechanically Operated Creep Testing Machine

    Directory of Open Access Journals (Sweden)

    John J. MOMOH

    2010-12-01

    Full Text Available Existing mechanically operated tensile and creep testing machine was modified to a low cost, electro-mechanically operated creep testing machine capable of determining the creep properties of aluminum, lead and thermoplastic materials as a function of applied stress, time and temperature. The modification of the testing machine was necessitated by having an electro-mechanically operated creep testing machine as a demonstration model ideal for use and laboratory demonstrations, which will provide an economical means of performing standard creep experiments. The experimental result is a more comprehensive understanding of the laboratory experience, as the technology behind the creep testing machine, the test methodology and the response of materials loaded during experiment are explored. The machine provides a low cost solution for Mechanics of Materials laboratories interested in creep testing experiment and demonstration but not capable of funding the acquisition of commercially available creep testing machines. Creep curves of strain versus time on a thermoplastic material were plotted at a stress level of 1.95MPa, 3.25MPa and 4.55MPa and temperature of 20oC, 40oC and 60oC respectively. The machine is satisfactory since it is always ready for operation at any given time.

  18. Statistical translation with scarce resources: a South African case study

    CSIR Research Space (South Africa)

    Ronald, K

    2006-11-01

    Full Text Available , applying the algorithm in section 2. 4. Statistical Phrase-based Translation We evaluated the performance of our approach using the phrased-based translation framework. In this framework the task is to find that English sentence e given a foreign...- tax and morphology in the target language for example noun-phrase agreement and subject-verb agreement. Fur- ther more we plan to investigate the benefits of merging phrase-based and syntax-based systems to build a hybrid machine translation system...

  19. The quantitative evaluation of the Clinical and Translational Science Awards (CTSA) program based on science mapping and scientometric analysis.

    Science.gov (United States)

    Zhang, Yin; Wang, Lei; Diao, Tianxi

    2013-12-01

    The Clinical and Translational Science Awards (CTSA) program is one of the most important initiatives in translational medical funding. The quantitative evaluation of the efficiency and performance of the CTSA program has a significant referential meaning for the decision making of global translational medical funding. Using science mapping and scientometric analytic tools, this study quantitatively analyzed the scientific articles funded by the CTSA program. The results of the study showed that the quantitative productivities of the CTSA program had a stable increase since 2008. In addition, the emerging trends of the research funded by the CTSA program covered clinical and basic medical research fields. The academic benefits from the CTSA program were assisting its members to build a robust academic home for the Clinical and Translational Science and to attract other financial support. This study provided a quantitative evaluation of the CTSA program based on science mapping and scientometric analysis. Further research is required to compare and optimize other quantitative methods and to integrate various research results. © 2013 Wiley Periodicals, Inc.

  20. A questionnaire to evaluate the impact of chronic diseases: validated translation and Illness Effects Questionnaire (IEQ reliability study

    Directory of Open Access Journals (Sweden)

    Patrícia Pinto Fonseca

    2012-01-01

    Full Text Available INTRODUCTION: Patients' perception about their health condition, mainly involving chronic diseases, has been investigated in many studies and it has been associated to depression, compliance with the treatment, quality of life and prognosis. The Illness Effects Questionnaire (IEQ is a tool which makes the standardized evaluation of patients' perception about their illness possible, so that it is brief and accessible to the different clinical settings. This work aims to begin the transcultural adaptation of the IEQ to Brazil through the validated translation and the reliability study. METHODS: The back-translation method and the test-retest reliability study were used in a sample of 30 adult patients under chronic hemodialysis. The reliability indexes were estimated using the Pearson, Spearman, Weighted Kappa and Cronbach's alpha coefficients. RESULTS: The semantic equivalence was reached through the validated translation. In this study, the reliability indexes obtained were respectively: 0.85 and 0.75 (p < 0.001; 0.68 and 0.92 (p < 0.0001. DISCUSSION: The reliability indexes obtained attest to the stability of responses in both evaluations. Additional procedures are necessary for the transcultural adaptation of the IEQ to be complete. CONCLUSION: The results indicate the translation validity and the reliability of the Brazilian version of the IEQ for the sample studied.

  1. Understanding the performance and impact of public knowledge translation funding interventions: Protocol for an evaluation of Canadian Institutes of Health Research knowledge translation funding programs

    Directory of Open Access Journals (Sweden)

    McLean Robert K D

    2012-06-01

    Full Text Available Abstract Background The Canadian Institutes of Health Research (CIHR has defined knowledge translation (KT as a dynamic and iterative process that includes the synthesis, dissemination, exchange, and ethically-sound application of knowledge to improve the health of Canadians, provide more effective health services and products, and strengthen the healthcare system. CIHR, the national health research funding agency in Canada, has undertaken to advance this concept through direct research funding opportunities in KT. Because CIHR is recognized within Canada and internationally for leading and funding the advancement of KT science and practice, it is essential and timely to evaluate this intervention, and specifically, these funding opportunities. Design The study will employ a novel method of participatory, utilization-focused evaluation inspired by the principles of integrated KT. It will use a mixed methods approach, drawing on both quantitative and qualitative data, and will elicit participation from CIHR funded researchers, knowledge users, KT experts, as well as other health research funding agencies. Lines of inquiry will include an international environmental scan, document/data reviews, in-depth interviews, targeted surveys, case studies, and an expert review panel. The study will investigate how efficiently and effectively the CIHR model of KT funding programs operates, what immediate outcomes these funding mechanisms have produced, and what impact these programs have had on the broader state of health research, health research uptake, and health improvement. Discussion The protocol and results of this evaluation will be of interest to those engaged in the theory, practice, and evaluation of KT. The dissemination of the study protocol and results to both practitioners and theorists will help to fill a gap in knowledge in three areas: the role of a public research funding agency in facilitating KT, the outcomes and impacts KT funding

  2. Translating Clinical Findings into Knowledge in Drug Safety Evaluation - Drug Induced Liver Injury Prediction System (DILIps)

    Science.gov (United States)

    Liu, Zhichao; Shi, Qiang; Ding, Don; Kelly, Reagan; Fang, Hong; Tong, Weida

    2011-01-01

    Drug-induced liver injury (DILI) is a significant concern in drug development due to the poor concordance between preclinical and clinical findings of liver toxicity. We hypothesized that the DILI types (hepatotoxic side effects) seen in the clinic can be translated into the development of predictive in silico models for use in the drug discovery phase. We identified 13 hepatotoxic side effects with high accuracy for classifying marketed drugs for their DILI potential. We then developed in silico predictive models for each of these 13 side effects, which were further combined to construct a DILI prediction system (DILIps). The DILIps yielded 60–70% prediction accuracy for three independent validation sets. To enhance the confidence for identification of drugs that cause severe DILI in humans, the “Rule of Three” was developed in DILIps by using a consensus strategy based on 13 models. This gave high positive predictive value (91%) when applied to an external dataset containing 206 drugs from three independent literature datasets. Using the DILIps, we screened all the drugs in DrugBank and investigated their DILI potential in terms of protein targets and therapeutic categories through network modeling. We demonstrated that two therapeutic categories, anti-infectives for systemic use and musculoskeletal system drugs, were enriched for DILI, which is consistent with current knowledge. We also identified protein targets and pathways that are related to drugs that cause DILI by using pathway analysis and co-occurrence text mining. While marketed drugs were the focus of this study, the DILIps has a potential as an evaluation tool to screen and prioritize new drug candidates or chemicals, such as environmental chemicals, to avoid those that might cause liver toxicity. We expect that the methodology can be also applied to other drug safety endpoints, such as renal or cardiovascular toxicity. PMID:22194678

  3. A randomized controlled trial evaluating the impact of knowledge translation and exchange strategies

    Directory of Open Access Journals (Sweden)

    O'Mara Linda

    2009-09-01

    Full Text Available Abstract Context Significant resources and time are invested in the production of research knowledge. The primary objective of this randomized controlled trial was to evaluate the effectiveness of three knowledge translation and exchange strategies in the incorporation of research evidence into public health policies and programs. Methods This trial was conducted with a national sample of public health departments in Canada from 2004 to 2006. The three interventions, implemented over one year in 2005, included access to an online registry of research evidence; tailored messaging; and a knowledge broker. The primary outcome assessed the extent to which research evidence was used in a recent program decision, and the secondary outcome measured the change in the sum of evidence-informed healthy body weight promotion policies or programs being delivered at health departments. Mixed-effects models were used to test the hypotheses. Findings One hundred and eight of 141 (77% health departments participated in this study. No significant effect of the intervention was observed for primary outcome (p e.g., value placed on research evidence in decision making. Conclusion The results of this study suggest that under certain conditions tailored, targeted messages are more effective than knowledge brokering and access to an online registry of research evidence. Greater emphasis on the identification of organizational factors is needed in order to implement strategies that best meet the needs of individual organizations. Trial Registration The trial registration number and title are as follows: ISRCTN35240937 -- Is a knowledge broker more effective than other strategies in promoting evidence-based physical activity and healthy body weight programming?

  4. The psychometric evaluation of Korean translation of the Personal Resource Questionnaire 85-Part 2.

    Science.gov (United States)

    Han, Hae-Ra; Kim, Miyong T; Weinert, Clarann

    2002-01-01

    Although the Personal Resource Questionnaire (PRQ 85-Part 2) has been widely used to measure perceived level of social support, results of psychometric evaluation of the measure with a Korean population are not currently available in the literature. To assess the psychometric properties of the Korean language version of the PRQ 85. An empirical validation of the theoretical relationships among the construct, social support, as measured by the PRQ 85, and other related constructs was conducted. In addition, factor structure comparison with a cross-validation technique was utilized on a combined sample of 555 Korean adults from three independent studies. Construct validity for the Korean PRQ 85 was evidenced by statistically significant correlations of perceived social support with the theoretically relevant variables such as depression and psychosocial adjustment. Using principal axis factoring with an oblique rotation, the two-factor solution was found to be most satisfactory in the first random sample and was cross-validated in the second sample, accounting for 52% and 54.1% of the total variance, respectively. Inspecting the distribution of variables within the factors, however, only the first factor appeared to be a construct-related factor; the second factor, which was exclusively represented by negatively keyed items, was method-related. The findings suggest that a one-factor solution can be used to accurately describe a substantive (or construct-related) factor pattern of the Korean version of the PRQ 85. Although researchers generally agree that negatively worded questions are important in order to minimize the "response bias," this approach appeared to be problematic for Koreans who used the translated PRQ 85. Further research is warranted to explicate this important methodological issue in cross-cultural instrumentation.

  5. Evaluation of machining methods for trabecular metal implants in a rabbit intramedullary osseointegration model.

    Science.gov (United States)

    Deglurkar, Mukund; Davy, Dwight T; Stewart, Matthew; Goldberg, Victor M; Welter, Jean F

    2007-02-01

    Implant success is dependent in part on the interaction of the implant with the surrounding tissues. Porous tantalum implants (Trabecular Metal, TM) have been shown to have excellent osseointegration. Machining this material to complex shapes with close tolerances is difficult because of its open structure and the ductile nature of metallic tantalum. Conventional machining results in occlusion of most of the surface porosity by the smearing of soft metal. This study compared TM samples finished by three processing techniques: conventional machining, electrical discharge machining, and nonmachined, "as-prepared." The TM samples were studied in a rabbit distal femoral intramedullary osseointegration model and in cell culture. We assessed the effects of these machining methods at 4, 8, and 12 weeks after implant placement. The finishing technique had a profound effect on the physical presentation of the implant interface: conventional machining reduced surface porosity to 30% compared to bulk porosities in the 70% range. Bone ongrowth was similar in all groups, while bone ingrowth was significantly greater in the nonmachined samples. The resulting mechanical properties of the bone implant-interface were similar in all three groups, with only interface stiffness and interface shear modulus being significantly higher in the machined samples.

  6. Design, Fabrication and Performance Evaluation of a Manual Clay Brick Moulding Machine

    Directory of Open Access Journals (Sweden)

    S.K. Kolawole

    2013-01-01

    Full Text Available In an attempt to improve the production of clay bricks for housing and general construction purposes, a 215 X 102.5 X 65 mm manual brick moulding machine was designed and fabricated. The machine parts were made of mild steel, because of its availability and versatile machinability. The efficiency of the machine was examined using local clay, sourced within the University of Ilorin, Ilorin, Nigeria. Water was added to the clay after sieving to form a paste, and then packed into a mould box, before manually rammed and compacted with the machine mould cover. This process allowed for the formation of required shape, which was sent to kiln for baking to obtain stronger bricks. The machine is capable of producing a total of four bricks at a time using the available four mould boxes. The production time of the four bricks was found to be relatively equal to the time used by an automated one to produce equal number of bricks, indicating favourable efficiency. Thus, the fabricated manual machine can be used for mass production of clay bricks for improved and effective housing delivery.

  7. Translation Method and Computer Programme for Assisting the Same

    DEFF Research Database (Denmark)

    2013-01-01

    The present invention relates to a translation method comprising the steps of: a translator speaking a translation of a written source text in a target language, an automatic speech recognition system converting the spoken translation into a set of phone and word hypotheses in the target language......, a machine translation system translating the written source text into a set of translations hypotheses in the target language, and an integration module combining the set of spoken word hypotheses and the set of machine translation hypotheses obtaining a text in the target language. Thereby obtaining...... a significantly improved and faster translation compared to what is achieved by known translation methods....

  8. Evaluation of low degree polynomial kernel support vector machines for modelling Pore-water pressure responses

    Directory of Open Access Journals (Sweden)

    Babangida Nuraddeen Muhammad

    2016-01-01

    Full Text Available Pore-water pressure (PWP is influenced by climatic changes, especially rainfall. These changes may affect the stability of, particularly unsaturated slopes. Thus monitoring the changes in PWP resulting from climatic factors has become an important part of effective slope management. However, this monitoring requires field instrumentation program, which is resource and labour expensive. Recently, soft computing modelling has become an alternative. Low degree polynomial kernel support vector machine (SVM was evaluated in modelling the PWP changes. The developed model used pore-water pressure and rainfall data collected from an instrumented slope. Wrapper technique was used to select input features and k-fold cross validation was used to calibrate the model parameters. The developed model showed great promise in modelling the pore-water pressure changes. High correlation, with coefficient of determination of 0.9694 between the predicted and observed changes was obtained. The one degree polynomial SVM model yielded competitive result, and can be used to provide lead time records of PWP which can aid in better slope management.

  9. Analysis of aerosol emission and hazard evaluation of electrical discharge machining (EDM) process.

    Science.gov (United States)

    Jose, Mathew; Sivapirakasam, S P; Surianarayanan, M

    2010-01-01

    The safety and environmental aspects of a manufacturing process are important due to increased environmental regulations and life quality. In this paper, the concentration of aerosols in the breathing zone of the operator of Electrical Discharge Machining (EDM), a commonly used non traditional manufacturing process is presented. The pattern of aerosol emissions from this process with varying process parameters such as peak current, pulse duration, dielectric flushing pressure and the level of dielectric was evaluated. Further, the HAZOP technique was employed to identify the inherent safety aspects and fire risk of the EDM process under different working conditions. The analysis of aerosol exposure showed that the concentration of aerosol was increased with increase in the peak current, pulse duration and dielectric level and was decreased with increase in the flushing pressure. It was also found that at higher values of peak current (7A) and pulse duration (520 micros), the concentration of aerosols at breathing zone of the operator was above the permissible exposure limit value for respirable particulates (5 mg/m(3)). HAZOP study of the EDM process showed that this process is vulnerable to fire and explosion hazards. A detailed discussion on preventing the fire and explosion hazard is presented in this paper. The emission and risk of fire of the EDM process can be minimized by selecting proper process parameters and employing appropriate control strategy.

  10. Comparative Study Between METEOR and BLEU Methods of MT: Arabic into English Translation as a Case Study

    Directory of Open Access Journals (Sweden)

    Laith S. Hadla

    2015-11-01

    Full Text Available The Internet provides its users with a variety of services, and these services include free online machine translators, which translate free of charge between many of the world's languages such as Arabic, English, Chinese, German, Spanish, French, Russian, etc. Machine translators facilitate the transfer of information between different languages, thus eliminating the language barrier, since the amount of information and knowledge available varies from one language to another, Arabic content on the internet, for example, accounts 1% of the total internet content, while Arabs constitute 5% of the population of the earth, which means that the intellectual productivity of the Arabs is low because within internet use Internet's Arabic content represents 20% of their natural proportion, which in turn encouraged some Arab parties to improve Arabic content within the internet. So, many of those interested specialists rely on machine translators to bridge the knowledge gap between the information available in the Arabic language and those in other living languages such as English. This empirical study aims to identify the best Arabic to English Machine translation system, in order to help the developers of these systems to enhance the effectiveness of these systems. Furthermore, such studies help the users to choose the best. This study involves the construction of a system for Automatic Machine Translation Evaluation System of the Arabic language into language. This study includes assessing the accuracy of the translation by the two known machine translators, Google Translate, and the second, which bears the name of Babylon machine translation from Arabic into English. BLEU and METEOR methods are used the MT quality, and to identify the closer method to human judgments. The authors conclude that BLEU is closer to human judgments METEOR method.

  11. Chapter 16: text mining for translational bioinformatics.

    Directory of Open Access Journals (Sweden)

    K Bretonnel Cohen

    2013-04-01

    Full Text Available Text mining for translational bioinformatics is a new field with tremendous research potential. It is a subfield of biomedical natural language processing that concerns itself directly with the problem of relating basic biomedical research to clinical practice, and vice versa. Applications of text mining fall both into the category of T1 translational research-translating basic science results into new interventions-and T2 translational research, or translational research for public health. Potential use cases include better phenotyping of research subjects, and pharmacogenomic research. A variety of methods for evaluating text mining applications exist, including corpora, structured test suites, and post hoc judging. Two basic principles of linguistic structure are relevant for building text mining applications. One is that linguistic structure consists of multiple levels. The other is that every level of linguistic structure is characterized by ambiguity. There are two basic approaches to text mining: rule-based, also known as knowledge-based; and machine-learning-based, also known as statistical. Many systems are hybrids of the two approaches. Shared tasks have had a strong effect on the direction of the field. Like all translational bioinformatics software, text mining software for translational bioinformatics can be considered health-critical and should be subject to the strictest standards of quality assurance and software testing.

  12. Chapter 16: text mining for translational bioinformatics.

    Science.gov (United States)

    Cohen, K Bretonnel; Hunter, Lawrence E

    2013-04-01

    Text mining for translational bioinformatics is a new field with tremendous research potential. It is a subfield of biomedical natural language processing that concerns itself directly with the problem of relating basic biomedical research to clinical practice, and vice versa. Applications of text mining fall both into the category of T1 translational research-translating basic science results into new interventions-and T2 translational research, or translational research for public health. Potential use cases include better phenotyping of research subjects, and pharmacogenomic research. A variety of methods for evaluating text mining applications exist, including corpora, structured test suites, and post hoc judging. Two basic principles of linguistic structure are relevant for building text mining applications. One is that linguistic structure consists of multiple levels. The other is that every level of linguistic structure is characterized by ambiguity. There are two basic approaches to text mining: rule-based, also known as knowledge-based; and machine-learning-based, also known as statistical. Many systems are hybrids of the two approaches. Shared tasks have had a strong effect on the direction of the field. Like all translational bioinformatics software, text mining software for translational bioinformatics can be considered health-critical and should be subject to the strictest standards of quality assurance and software testing.

  13. Psychometric Evaluation of the Revised Michigan Diabetes Knowledge Test (V.2016) in Arabic: Translation and Validation

    Science.gov (United States)

    Alhaiti, Ali Hassan; Alotaibi, Alanod Raffa; Jones, Linda Katherine; DaCosta, Cliff

    2016-01-01

    Objective. To translate the revised Michigan Diabetes Knowledge Test into the Arabic language and examine its psychometric properties. Setting. Of the 139 participants recruited through King Fahad Medical City in Riyadh, Saudi Arabia, 34 agreed to the second-round sample for retesting purposes. Methods. The translation process followed the World Health Organization's guidelines for the translation and adaptation of instruments. All translations were examined for their validity and reliability. Results. The translation process revealed excellent results throughout all stages. The Arabic version received 0.75 for internal consistency via Cronbach's alpha test and excellent outcomes in terms of the test-retest reliability of the instrument with a mean of 0.90 infraclass correlation coefficient. It also received positive content validity index scores. The item-level content validity index for all instrument scales fell between 0.83 and 1 with a mean scale-level index of 0.96. Conclusion. The Arabic version is proven to be a reliable and valid measure of patient's knowledge that is ready to be used in clinical practices. PMID:27995149

  14. MT In Business English Translation

    Institute of Scientific and Technical Information of China (English)

    张志新

    2009-01-01

    In this article the operational principles of MT in business English translation is briefly introduced with an aim to point out that to improve the MT quality machine study is a key factor to work on.

  15. Translating China

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    sidney Shapiro, an American-born translator famous for his translation of Chinese literary works, received the Lifetime Achievement Award in Translation by the Translators Association of China on December 2, 2010.

  16. Translation Theory 'Translated'

    DEFF Research Database (Denmark)

    Wæraas, Arild; Nielsen, Jeppe

    2016-01-01

    Translation theory has proved to be a versatile analytical lens used by scholars working from different traditions. On the basis of a systematic literature review, this study adds to our understanding of the ‘translations’ of translation theory by identifying the distinguishing features of the mo......, but also overlapping. We discuss the ways in which the three versions of translation theory may be combined and enrich each other so as to inform future research, thereby offering a more complete understanding of translation in and across organizational settings.......Translation theory has proved to be a versatile analytical lens used by scholars working from different traditions. On the basis of a systematic literature review, this study adds to our understanding of the ‘translations’ of translation theory by identifying the distinguishing features of the most...... common theoretical approaches to translation within the organization and management discipline: actor-network theory, knowledge-based theory, and Scandinavian institutionalism. Although each of these approaches already has borne much fruit in research, the literature is diverse and somewhat fragmented...

  17. Manufacturing complexity evaluation at the design stage for both machining and layered manufacturing

    OpenAIRE

    Kerbrat, Olivier; MOGNOL, Pascal; Hascoët, Jean-Yves

    2010-01-01

    International audience; In this paper, a methodology to estimate manufacturing complexity for both machining and layered manufacturing is proposed in order to realize tools (dies or molds) by a combination of a subtractive and an additive process. Manufacturability indexes are calculated at the tool design stage, these indexes provide an accurate view of which areas of the tool will advantageously be machined or manufactured by an additive process. In this case, tools are not seen as single p...

  18. Evaluation of the status of rotary machines by time causal Information Theory quantifiers

    Science.gov (United States)

    Redelico, Francisco O.; Traversaro, Francisco; Oyarzabal, Nicolás; Vilaboa, Ivan; Rosso, Osvaldo A.

    2017-03-01

    In this paper several causal Information Theory quantifiers, i.e. Shannon entropy, statistical complexity and Fisher information using the Bandt and Pompe permutation probability distribution, measure are applied to describe the behavior of a rotating machine. An experiment was conducted where a rotating machine runs balanced and then, after a misalignment, runs unbalanced. All the causal Information Theory quantifiers applied are capable to distinguish between both states and grasp the corresponding transition between them.

  19. Manufacturing complexity evaluation at the design stage for both machining and layered manufacturing

    OpenAIRE

    Kerbrat, Olivier; Mognol, Pascal; Hascoët, Jean-Yves

    2010-01-01

    International audience; In this paper, a methodology to estimate manufacturing complexity for both machining and layered manufacturing is proposed in order to realize tools (dies or molds) by a combination of a subtractive and an additive process. Manufacturability indexes are calculated at the tool design stage, these indexes provide an accurate view of which areas of the tool will advantageously be machined or manufactured by an additive process. In this case, tools are not seen as single p...

  20. Understanding Translation

    DEFF Research Database (Denmark)

    Schjoldager, Anne Gram; Gottlieb, Henrik; Klitgård, Ida

    Understanding Translation is designed as a textbook for courses on the theory and practice of translation in general and of particular types of translation - such as interpreting, screen translation and literary translation. The aim of the book is to help you gain an in-depth understanding...... - translators, language teachers, translation users and literary, TV and film critics, for instance. Discussions focus on translation between Danish and English....

  1. Understanding Translation

    DEFF Research Database (Denmark)

    Schjoldager, Anne Gram; Gottlieb, Henrik; Klitgård, Ida

    Understanding Translation is designed as a textbook for courses on the theory and practice of translation in general and of particular types of translation - such as interpreting, screen translation and literary translation. The aim of the book is to help you gain an in-depth understanding of the...... - translators, language teachers, translation users and literary, TV and film critics, for instance. Discussions focus on translation between Danish and English....

  2. [Translation and validation of the Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0) into Portuguese].

    Science.gov (United States)

    de Carvalho, Karla Emanuelle Cotias; Gois Júnior, Miburge Bolívar; Sá, Katia Nunes

    2014-01-01

    To translate and validate the Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0) into Brazilian Portuguese. Certified translators translated and back-translated Quest. Content validity (CVI) was determined by 5 experts and, after the final version of B-Quest, a pre-test was applied to users of manual wheelchairs, walkers and crutches. The psychometric properties were tested to assure the validity of items and the reliability and stability of the scale. Data were obtained from 121 users of the above-mentioned devices. Our study showed a CVI of 91.66% and a satisfactory factor analysis referent to the two-dimensional structure of the instrument that ensured the representativeness of the items. The Cron-bach's alpha of the items device, service and total score of B-Quest were 0.862, 0.717 and 0.826, respectively. Test-retest stability conducted after a time interval of 2 months was analyzed using Spearman's correlation test, which showed high correlation (ρ >0.6) for most items. The study suggests that the B-Quest is a reliable, representative, and valid instrument to measure the satisfaction of users of assistive technology in Brazil. Copyright © 2014 Elsevier Editora Ltda. All rights reserved.

  3. Evaluation framework for translational research: case study of Australia's get healthy information and coaching service(R).

    Science.gov (United States)

    O'Hara, Blythe J; Bauman, Adrian E; Eakin, Elizabeth G; King, Lesley; Haas, Marion; Allman-Farinelli, Margaret; Owen, Neville; Cardona-Morell, Magnolia; Farrell, Louise; Milat, Andrew J; Phongsavan, Philayrath

    2013-05-01

    The Get Healthy Information and Coaching Service® (GHS), a free government-funded telephone-delivered information and coaching service was launched in February 2009 by the Australian New South Wales state government. It represents the translation of research evidence applied in the real world (T4 or Phase 4 translation), aimed at addressing the modifiable risk factors associated with the overweight and obesity. In controlled settings, it has been established that telephone-based lifestyle counseling programs are efficacious in reducing anthropometric and behavioral risk factors. This article presents the GHS case study as a population-wide intervention and describes the quasi-experimental evaluation framework used to evaluate both the process (statewide implementation) and impact (effectiveness) of the GHS in a real-world environment. It details the data collection, measures, and statistical analysis required in assessing the process of implementation-reach and recruitment, marketing and promotion, service satisfaction, intervention fidelity, and GHS setting up and operations costs-and in assessing the impact of GHS-increasing physical activity, improving dietary practices, and reducing body weight and waist circumference. The comprehensive evaluation framework designed for the GHS provides a method for building effectiveness evidence of a rare translation of efficacy trial evidence into population-wide practice.

  4. Process evaluation of appreciative inquiry to translate pain management evidence into pediatric nursing practice

    Directory of Open Access Journals (Sweden)

    Seers Kate

    2010-11-01

    Full Text Available Abstract Background Appreciative inquiry (AI is an innovative knowledge translation (KT intervention that is compatible with the Promoting Action on Research in Health Services (PARiHS framework. This study explored the innovative use of AI as a theoretically based KT intervention applied to a clinical issue in an inpatient pediatric care setting. The implementation of AI was explored in terms of its acceptability, fidelity, and feasibility as a KT intervention in pain management. Methods A mixed-methods case study design was used. The case was a surgical unit in a pediatric academic-affiliated hospital. The sample consisted of nurses in leadership positions and staff nurses interested in the study. Data on the AI intervention implementation were collected by digitally recording the AI sessions, maintaining logs, and conducting individual semistructured interviews. Data were analysed using qualitative and quantitative content analyses and descriptive statistics. Findings were triangulated in the discussion. Results Three nurse leaders and nine staff members participated in the study. Participants were generally satisfied with the intervention, which consisted of four 3-hour, interactive AI sessions delivered over two weeks to promote change based on positive examples of pain management in the unit and staff implementation of an action plan. The AI sessions were delivered with high fidelity and 11 of 12 participants attended all four sessions, where they developed an action plan to enhance evidence-based pain assessment documentation. Participants labeled AI a 'refreshing approach to change' because it was positive, democratic, and built on existing practices. Several barriers affected their implementation of the action plan, including a context of change overload, logistics, busyness, and a lack of organised follow-up. Conclusions Results of this case study supported the acceptability, fidelity, and feasibility of AI as a KT intervention in pain

  5. Translational evaluation of translocator protein as a marker of neuroinflammation in schizophrenia.

    Science.gov (United States)

    Notter, T; Coughlin, J M; Gschwind, T; Weber-Stadlbauer, U; Wang, Y; Kassiou, M; Vernon, A C; Benke, D; Pomper, M G; Sawa, A; Meyer, U

    2017-01-17

    Positron emission tomography (PET) imaging with radiotracers that target translocator protein 18 kDa (TSPO) has become a popular approach to assess putative neuroinflammatory processes and associated microglia activation in psychotic illnesses. It remains unclear, however, whether TSPO imaging can accurately capture low-grade inflammatory processes such as those present in schizophrenia and related disorders. Therefore, we evaluated the validity of TSPO as a disease-relevant marker of inflammation using a translational approach, which combined neurodevelopmental and neurodegenerative mouse models with PET imaging in patients with recent-onset schizophrenia and matched controls. Using an infection-mediated neurodevelopmental mouse model, we show that schizophrenia-relevant behavioral abnormalities and increased inflammatory cytokine expression are associated with reduced prefrontal TSPO levels. On the other hand, TSPO was markedly upregulated in a mouse model of acute neurodegeneration and reactive gliosis, which was induced by intrahippocampal injection of kainic acid. In both models, the changes in TSPO levels were not restricted to microglia but emerged in various cell types, including microglia, astrocytes and vascular endothelial cells. Human PET imaging using the second-generation TSPO radiotracer [(11)C]DPA-713 revealed a strong trend towards reduced TSPO binding in the middle frontal gyrus of patients with recent-onset schizophrenia, who were previously shown to display increased levels of inflammatory cytokines in peripheral and central tissues. Together, our findings challenge the common assumption that central low-grade inflammation in schizophrenia is mirrored by increased TSPO expression or ligand binding. Our study further underscores the need to interpret altered TSPO binding in schizophrenia with caution, especially when measures of TSPO are not complemented with other markers of inflammation. Unless more selective microglial markers are available

  6. Evaluation of a health systems knowledge translation network for Africa (KTNET): a study protocol

    NARCIS (Netherlands)

    Ekirapa-Kiracho, E.; Walugembe, D.R.; Tetui, M.; Kisakye, A.N.; Rutebemberwa, E.; Sengooba, F.; Kananura, R.M.; Wensing, M.; Kiwanuka, S.N.

    2014-01-01

    BackgroundDespite the increasing investment in health-related research in Sub-Saharan Africa, a large gulf remains between what is known and what is practiced in health systems. Knowledge translation programs aim to ensure that a wide range of stakeholders are aware of and use research evidence to i

  7. Evaluating Translation as an Explicit Instruction Tool to Improve L2 Written Skills: An Empirical Study

    Science.gov (United States)

    Pariente-Beltran, Beatriz

    2013-01-01

    Some have argued in favor of translation in the L2 classroom (Danchev, 1983; Levenston, 1985; Ballester Casado, 1991; Newson, 1998; Malloy, 2001; Bonyadi, 2003; Colina, 2006; Kulwindr, 2005; Petrocchi, 2006; House, 2008), while others have argued against it (Sweet, 1899/1964; Jespersen, 1901/1904; Lado, 1957, 1964; Gatenby, 1967; Sankey, 1991),…

  8. Evaluation of Multicenter Nuclear Attraction Integrals by the Use of Translation Formula for Slater Type Orbitals

    Institute of Scientific and Technical Information of China (English)

    Sedat Gumus; Telhat Ozdogan

    2003-01-01

    By the use of translation formula for Slater type orbitals (STOs), three-center nuclear attraction integralsare represented in terms of two-center overlap and nuclear attraction integrals. The computing results for the formulapresented here has been tested under wide changes in molecular parameters and good convergence has been obtainedwith the prior literature.

  9. Evaluating Translation as an Explicit Instruction Tool to Improve L2 Written Skills: An Empirical Study

    Science.gov (United States)

    Pariente-Beltran, Beatriz

    2013-01-01

    Some have argued in favor of translation in the L2 classroom (Danchev, 1983; Levenston, 1985; Ballester Casado, 1991; Newson, 1998; Malloy, 2001; Bonyadi, 2003; Colina, 2006; Kulwindr, 2005; Petrocchi, 2006; House, 2008), while others have argued against it (Sweet, 1899/1964; Jespersen, 1901/1904; Lado, 1957, 1964; Gatenby, 1967; Sankey, 1991),…

  10. 75 FR 62543 - Proposed Collection; Comment Request; National Evaluation of the Clinical and Translational...

    Science.gov (United States)

    2010-10-12

    ... annualized cost to respondents is estimated at $14,056. There are no capital or start-up costs, and no... Clinical and ] Translational Science Awards (CTSA) Initiative. Type of Information Collection Request: New.... Affected Public: Individuals. Type of Respondents: Scientific researchers. The annual reporting burden is...

  11. A Psychometric Theory of Evaluation of Item and Scale Translations: Fidelity across Languages.

    Science.gov (United States)

    Hulin, Charles L.

    1987-01-01

    Addresses the problem of the equivalence of linguistically translated items that form measurement scales used to assess psychological traits or constructs in source and target cultures and languages. Outlines assessment procedures that are standardized but that also reflect cultural-specific concepts and values. (PS)

  12. Resources and costs for microbial sequence analysis evaluated using virtual machines and cloud computing.

    Directory of Open Access Journals (Sweden)

    Samuel V Angiuoli

    Full Text Available BACKGROUND: The widespread popularity of genomic applications is threatened by the "bioinformatics bottleneck" resulting from uncertainty about the cost and infrastructure needed to meet increasing demands for next-generation sequence analysis. Cloud computing services have been discussed as potential new bioinformatics support systems but have not been evaluated thoroughly. RESULTS: We present benchmark costs and runtimes for common microbial genomics applications, including 16S rRNA analysis, microbial whole-genome shotgun (WGS sequence assembly and annotation, WGS metagenomics and large-scale BLAST. Sequence dataset types and sizes were selected to correspond to outputs typically generated by small- to midsize facilities equipped with 454 and Illumina platforms, except for WGS metagenomics where sampling of Illumina data was used. Automated analysis pipelines, as implemented in the CloVR virtual machine, were used in order to guarantee transparency, reproducibility and portability across different operating systems, including the commercial Amazon Elastic Compute Cloud (EC2, which was used to attach real dollar costs to each analysis type. We found considerable differences in computational requirements, runtimes and costs associated with different microbial genomics applications. While all 16S analyses completed on a single-CPU desktop in under three hours, microbial genome and metagenome analyses utilized multi-CPU support of up to 120 CPUs on Amazon EC2, where each analysis completed in under 24 hours for less than $60. Representative datasets were used to estimate maximum data throughput on different cluster sizes and to compare costs between EC2 and comparable local grid servers. CONCLUSIONS: Although bioinformatics requirements for microbial genomics depend on dataset characteristics and the analysis protocols applied, our results suggests that smaller sequencing facilities (up to three Roche/454 or one Illumina GAIIx sequencer invested

  13. Evaluation of Machining Parameters Influencing Thrust Force in Drilling of Al– SiC–Gr Metal Matrix Composites using RSM

    Directory of Open Access Journals (Sweden)

    A. Munia raj

    2014-10-01

    Full Text Available This paper focused on evaluation of machining parameters influencing thrust force during drilling of Al–SiC–Gr metal matrix composites using multifaceted carbide drills. There are three machining parameters i.e. Spindle speed, Feed rate, Drill diameter. Experiments are conducted on a vertical machining centre using Taguchi design of experiments. Taguchi orthogonal array is designed with three levels of drilling parameters with the help of software Minitab 15. A model is developed to correlate the drilling parameters with thrust force using Response surface Methodology (RSM.The results indicate that the developed model is suitable for prediction of thrust forces in drilling of Al/SiC/Gr composites. The influences of different machining parameters on thrust force of Al/SiC/Gr composites have been analyzed through contour graphs and 3D plots. The investigation has revealed that the type of spindle speed affects the thrust force significantly followed by the feed rate and drill diameter.

  14. Micro-CT evaluation of in vivo osteogenesis at implants processed by wire-type electric discharge machining.

    Science.gov (United States)

    Yamaki, Koichi; Kataoka, Yu; Ohtsuka, Fukunaga; Miyazaki, Takashi

    2012-01-01

    Titanium surfaces processed by wire-type electric discharge machining (EDM) are microfabricated surfaces with an irregular morphology, and they exhibited excellent in vitro bone biocompatibility. In this study, the efficiency of in vivo osteogenesis on EDM surfaces was investigated by surgically placing screw-shaped EDM-processed and machined-surface implants into the femurs of four Japanese white rabbits. The volume and process of new bone formation were evaluated by an X-ray micro-CT scanner, coupled with histopathological observations at 1, 2, and 4 weeks post-implantation. Before surgical implantation, the surface topography and contact angle of each implant surface were examined. Bone formation increased over time on both implant surfaces, with both implant types yielding statistically equivalent bone volume at 4 weeks post-implementation. However, at 1 week post-implantation, amount of new bone at EDM-processed implant was markedly greater than that at machined-surface implant. Moreover, new bone appeared to initiate directly from the EDM surfaces, while new bone appeared to generate from pre-existing host bone to the machined surfaces. Thus, EDM seemed to be a promising method for surface modification of titanium implants to support enhanced osteogenesis.

  15. Found in Translation

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    The 18th World Congress of the International Federation of Translators(FIT) is bound to increase China’s international exposure.Shortly before the congress,Guo Xiaoyong,Executive Vice President of the Translators Association of China(TAC),spoke to Beijing Review about his expectations for the event and his evaluation of translation and interpretation services in China.

  16. Synonymy and translation

    NARCIS (Netherlands)

    Jong, de Franciska; Appelo, Lisette

    1987-01-01

    This paper is meant to give some insight into the interaction between on the one hand theoretical concepts in the field of formal semantics, and on the other hand linguistic research directed towards an application, more specifically, the research in the machine translation project Rosetta. The cent

  17. Synonymy and Translation

    NARCIS (Netherlands)

    de Jong, Franciska M.G.; Appelo, Lisette

    1987-01-01

    This paper is meant to give some insight into the interaction between on the one hand theoretical concepts in the field of formal semantics, and on the other hand linguistic research directed towards an application, more specifically, the research in the machine translation project Rosetta. The

  18. The Evaluation of the Effectiveness of ESP Courses in Enhancing Technical Translation Proficiency: A Case Study of ESP Course for Mechanical Engineering Students

    Science.gov (United States)

    Hatam, Amir Hussein; Shafiei, Shilan

    2012-01-01

    The purpose of the present study was twofold. Firstly, it tried to investigate the relationship between the technical English proficiency of the students of Mechanical Engineering in the universities of Iran and their technical translation proficiency in translating technical texts of Mechanics. Secondly, it attempted to evaluate the effectiveness…

  19. English-to-Japanese Translation vs. Dictation vs. Post-editing

    DEFF Research Database (Denmark)

    Carl, Michael; Aizawa, Akiko; Yamada, Masaru

    2016-01-01

    Speech-enabled interfaces have the potential to become one of the most efficient and ergonomic environments for human-computer interaction and for text production. However, not much research has been carried out to investigate in detail the processes and strategies involved in the different modes...... of text production. This paper introduces and evaluates a corpus of more than 55 hours of English-to-Japanese user activity data that were collected within the ENJA15 project, in which translators were observed while writing and speaking translations (translation dictation) and during machine translation...

  20. NICT/ATR Chinese-Japanese-English Speech-to-Speech Translation System

    Institute of Scientific and Technical Information of China (English)

    Tohru Shimizu; Yutaka Ashikari; Eiichiro Sumita; ZHANG Jinsong; Satoshi Nakamura

    2008-01-01

    This paper describes the latest version of the Chinese-Japanese-English handheld speech-to-speech translation system developed by NICT/ATR,which is now ready to be deployed for travelers.With the entire speech-to-speech translation function being implemented into one terminal,it realizes real-time,location-free speech-to-speech translation.A new noise-suppression technique notably improves the speech recognition performance.Corpus-based approaches of speech recognition,machine translation,and speech synthesis enable coverage of a wide variety of topics and portability to other languages.Test results show that the character accuracy of speech recognition is 82%-94% for Chinese speech,with a bilingual evaluation understudy score of machine translation is 0.55-0.74 for Chinese-Japanese and Chinese-English.

  1. Translation and Validation of a Greek version of the Family Crisis Oriented Personal Evaluation Scales (F-COPES

    Directory of Open Access Journals (Sweden)

    Gouva M.

    2016-04-01

    Full Text Available Background: Family sense of coherence is central to successful coping with family stressors. Objectives: The aims of this study were to translate the Family Crisis Oriented Personal Evaluation Scales (F-COPES and to evaluate its psychometric properties. Methods: In Phase 1, the F-COPES was translated into Greek using the translation/backtranslation procedure and it was reviewed by an expert panel for cultural equivalence. In Phase 2, the questionnaire was administered to 647 family members (mean age =39.08, SD=14.28, range=18-79 years from 20 different regions of Greece along with a measure of sociodemographic characteristics and the Family Environment Scale. Results: The F COPES showed good internal consistency (Cronbach's α = .77 and test-retest reliability (intraclass correlation coefficient = .88. On a subscale level the correlation was: Acquiring Social Support r =.87, Reframing r =.90, Seeking Spiritual Support r =.84, Mobilizing Family to Acquire and Accept Help r =.86 and Passive Appraisal r =.89. Discussion: The F-COPES has satisfactory psychometric properties and has the potential to be used as a clinical and research instrument for measuring of family coping strategies in Greek families. The Greek version retains the five factor structure as proposed by the initial authors.

  2. International student exchange and the medical curriculum: evaluation of a medical sciences translational physiology course in Brazil.

    Science.gov (United States)

    Morris, Mariana; Jones, T David; Rocha, Maria Jose Alves; Fazan, Rubens; Chapleau, Mark W; Salgado, Helio C; Johnson, Alan Kim; Irigoyen, Maria Claudia; Michelini, Lisete C; Goldstein, David L

    2006-09-01

    The objective of the present study was to conduct a short-term international course on translational physiology for medical students from Wright State University and the University of Iowa. The goals were to 1) provide students with an exposure to the academic, cultural, and medical environments in Brazil; 2) promote awareness of the global medical community; and 3) provide an academic course focused on translational physiology. An evaluation of the students was conducted to determine whether such a short-term course might be useful in the medical curriculum. The 2-wk course was held in the summer of 2005 at the University of São Paulo School of Medicine in Ribeirão Preto, Brazil, for 23 American students. The program included presentations of basic and clinical topics, meetings with medical students, and clinical presentations. The program finished with student attendance at a scientific meeting sponsored by the Brazilian Society of Hypertension. Student surveys evaluated issues related to perceived treatment, Brazilian medical school environment, culture and personal attributes, and career aspirations. The international Medical Sciences Translational Physiology course for medical students provided a brief, but intense, experience. It gave students a picture of the medical environment in Brazil and an appreciation for the differences and similarities in cultures. Most students reported that it was a positive experience that would be beneficial to their careers. In conclusion, a short-term international course provides an efficient means for medical students to experience aspects of global medical science.

  3. Evaluating the impact of conceptual knowledge engineering on the design and usability of a clinical and translational science collaboration portal.

    Science.gov (United States)

    Payne, Philip R O; Borlawsky, Tara B; Rice, Robert; Embi, Peter J

    2010-03-01

    With the growing prevalence of large-scale, team science endeavors in the biomedical and life science domains, the impetus to implement platforms capable of supporting asynchronous interaction among multidisciplinary groups of collaborators has increased commensurately. However, there is a paucity of literature describing systematic approaches to identifying the information needs of targeted end-users for such platforms, and the translation of such requirements into practicable software component design criteria. In previous studies, we have reported upon the efficacy of employing conceptual knowledge engineering (CKE) techniques to systematically address both of the preceding challenges in the context of complex biomedical applications. In this manuscript we evaluate the impact of CKE approaches relative to the design of a clinical and translational science collaboration portal, and report upon the preliminary qualitative users satisfaction as reported for the resulting system.

  4. Evaluation Of Electrochemical Machining Technology For Surface Improvements In Additive Manufactured Components

    Energy Technology Data Exchange (ETDEWEB)

    Dehoff, Ryan R [ORNL; List III, Frederick Alyious [ORNL; Carver, Keith [ORNL

    2015-09-23

    ORNL Manufacturing Demonstration Facility worked with ECM Technologies LLC to investigate the use of precision electro-chemical machining technology to polish the surface of parts created by Arcam electron beam melting. The goals for phase one of this project have been met. The project goal was to determine whether electro-chemical machining is a viable method to improve the surface finish of Inconel 718 parts fabricated using the Arcam EBM method. The project partner (ECM) demonstrated viability for parts of both simple and complex geometry. During the course of the project, detailed process knowledge was generated. This project has resulted in the expansion of United States operations for ECM Technologies.

  5. PENETRATION QUALITY EVALUATION IN ROBOTIZED ARC WELDING BASED ON SUPPORT VECTOR MACHINE

    Institute of Scientific and Technical Information of China (English)

    Ye Feng; Song Yonglun; Li Di; Lai Yizong

    2003-01-01

    A quality monitoring method by means of support vector machines (SVM) for robotized gas metal arc welding (GMAW) is introduced. Through the feature extraction of the welding process signal,a SVM classifier is constructed to establish the relationship between the feature of process parameters and the quality of weld penetration. Under the samples obtained from auto parts welding production line, the learning machine with a radial basis function kernel shows good performance. And this method can be feasible to identify defect online in welding production.

  6. Translating Means Translating Meaning

    Institute of Scientific and Technical Information of China (English)

    李海燕

    2000-01-01

    美国著名翻译理论家尤金·奈达说 :“翻译即译意 (Translating m eans translating m eaning)。”就实质而言 ,翻译即译意。就是把一种语言表达的意义用另一种语言表达出来。翻译分理解与表达两个步骤。理解是翻译的基础 ,表达直接决定译文的成败与优劣 ,两者缺一不可

  7. Human Translator and Translation Technology

    Institute of Scientific and Technical Information of China (English)

    李辰

    2016-01-01

    With the great development of technology, translation technology exerts great influence on human translators because during their translation process, they may use many computer-aided translation tools, such as TRADOS, Snowman, WordFisher and etc. However, they always misunderstand the concept of computer-aided translation, so this thesis managed to providedetails about some translation technology and human translators' strengths so as to help them improve the productivity and the quality of theirtranslation works effectively and efficiently.

  8. Evaluation of the accuracy and limitations of three tooth-color measuring machines

    Directory of Open Access Journals (Sweden)

    Jiun-Yao Chang

    2015-03-01

    Conclusion: By knowing the limits of each machine after being analyzed with the Munsell Book of Color, we can use the color measuring instrument in the specific color space range that the devices measuring accuracy performs the best in to achieve objective and accurate tooth-color measuring results in routine dental practice.

  9. Evaluation of rotor axial vibrations in a turbo pump unit equipped with an automatic unloading machine

    Science.gov (United States)

    Martsynkovskyy, V. A.; Deineka, A.; Kovalenko, V.

    2017-08-01

    The article presents forced axial vibrations of the rotor with an automatic unloading machine in an oxidizer pump. A feature of the design is the use in the autoloading system of slotted throttles with mutually inverse throttling. Their conductivity is determined by a numerical experiment in the ANSYS CFX software package.

  10. Evaluation of Formal IDEs for Human-Machine Interface Design and Analysis: The Case of CIRCUS and PVSio-web

    Directory of Open Access Journals (Sweden)

    Camille Fayollas

    2017-01-01

    Full Text Available Critical human-machine interfaces are present in many systems including avionics systems and medical devices. Use error is a concern in these systems both in terms of hardware panels and input devices, and the software that drives the interfaces. Guaranteeing safe usability, in terms of buttons, knobs and displays is now a key element in the overall safety of the system. New integrated development environments (IDEs based on formal methods technologies have been developed by the research community to support the design and analysis of high-confidence human-machine interfaces. To date, little work has focused on the comparison of these particular types of formal IDEs. This paper compares and evaluates two state-of-the-art toolkits: CIRCUS, a model-based development and analysis tool based on Petri net extensions, and PVSio-web, a prototyping toolkit based on the PVS theorem proving system.

  11. An Australian translational study to evaluate the prognostic role of inflammatory markers in patients with metastatic ColorEctal caNcer Treated with bevacizumab (Avastin™) [ASCENT

    National Research Council Canada - National Science Library

    Clarke, Stephen; Burge, Matt; Cordwell, Cassandra; Gibbs, Peter; Reece, William; Tebbutt, Niall

    2013-01-01

    .... The aim of the ASCENT study [an Australian translational Study to evaluate the prognostic role of inflammatory markers in patients with metastatic ColorEctal caNcer Treated with bevacizumab (Avastin...

  12. Evaluation of a nurse-led dementia education and knowledge translation programme in primary care: A cluster randomized controlled trial.

    Science.gov (United States)

    Wang, Yao; Xiao, Lily Dongxia; Ullah, Shahid; He, Guo-Ping; De Bellis, Anita

    2017-02-01

    The lack of dementia education programmes for health professionals in primary care is one of the major factors contributing to the unmet demand for dementia care services. To determine the effectiveness of a nurse-led dementia education and knowledge translation programme for health professionals in primary care; participants' satisfaction with the programme; and to understand participants' perceptions of and experiences in the programme. A cluster randomized controlled trial was used as the main methodology to evaluate health professionals' knowledge, attitudes and care approach. Focus groups were used at the end of the project to understand health professionals' perceptions of and experiences in the programme. Fourteen community health service centres in a province in China participated in the study. Seven centres were randomly assigned to the intervention or control group respectively and 85 health professionals in each group completed the programme. A train-the-trainer model was used to implement a dementia education and knowledge translation programme. Outcome variables were measured at baseline, on the completion of the programme and at 3-month follow-up. A mixed effect linear regression model was applied to compare the significant differences of outcome measures over time between the two groups. Focus groups were guided by four semi-structured questions and analysed using content analysis. Findings revealed significant effects of the education and knowledge translation programme on participants' knowledge, attitudes and a person-centred care approach. Focus groups confirmed that the programme had a positive impact on dementia care practice. A dementia education and knowledge translation programme for health professionals in primary care has positive effects on their knowledge, attitudes, care approach and care practice. Copyright © 2016 Elsevier Ltd. All rights reserved.

  13. When Machines Design Machines!

    DEFF Research Database (Denmark)

    2011-01-01

    Until recently we were the sole designers, alone in the driving seat making all the decisions. But, we have created a world of complexity way beyond human ability to understand, control, and govern. Machines now do more trades than humans on stock markets, they control our power, water, gas...... and food supplies, manage our elevators, microclimates, automobiles and transport systems, and manufacture almost everything. It should come as no surprise that machines are now designing machines. The chips that power our computers and mobile phones, the robots and commercial processing plants on which we...... depend, all are now largely designed by machines. So what of us - will be totally usurped, or are we looking at a new symbiosis with human and artificial intelligences combined to realise the best outcomes possible. In most respects we have no choice! Human abilities alone cannot solve any of the major...

  14. Evaluation of a Sleep Knowledge Translation Strategy for Occupational Therapists Working with Persons who have Dementia

    Directory of Open Access Journals (Sweden)

    Laura LeBerge

    2015-10-01

    Full Text Available Introduction: Sleep deficiency is a significant, largely overlooked issue for persons with dementia (PWD, and is associated with physical and mental health problems, increased caregiver burden, and increased likelihood of institutionalization. Despite the high prevalence of sleep deficiency in PWD, most health care professionals lack knowledge of the relationship between sleep problems and dementia. This project aimed to determine the feasibility of an archived online presentation, a knowledge translation (KT strategy to increase therapists’ understanding of the impact of blue-spectrum light on sleep in PWD. Method: Therapists who participated in a previous sleep and dementia survey were recruited via email. Participants completed a pre-knowledge test, accessed an online presentation regarding the relationship between sleep and light, and completed a post-test. Results: On average there was a 22% improvement in knowledge scores and participants were positive about the KT strategy being accessible, applicable, and evidence based. Conclusion: For a sample of therapists self-identified as specializing in geriatric rehabilitation, online audio-visual resources appear to be a feasible KT strategy to disseminate information and increase occupational therapists’ knowledge regarding the evidence-based relationship between blue-spectrum light and sleep in PWD. Further study is required to determine if this increased knowledge translates to practice settings.

  15. Enhancement in evaluating small group work in courses with large number of students. Machine theory at industrial engineering degrees

    Directory of Open Access Journals (Sweden)

    Lluïsa Jordi Nebot

    2013-03-01

    Full Text Available This article examines new tutoring evaluation methods to be adopted in the course, Machine Theory, in the Escola Tècnica Superior d’Enginyeria Industrial de Barcelona (ETSEIB, Universitat Politècnica de Catalunya. These new methods have been developed in order to facilitate teaching staff work and include students in the evaluation process. Machine Theory is a required course with a large number of students. These students are divided into groups of three, and required to carry out a supervised work constituting 20% of their final mark. These new evaluation methods were proposed in response to the significant increase of students in spring semester of 2010-2011, and were pilot tested during fall semester of academic year 2011-2012, in the previous Industrial Engineering degree program. Pilot test results were highly satisfactory for students and teachers, alike, and met proposed educational objectives. For this reason, the new evaluation methodology was adopted in spring semester of 2011-2012, in the current bachelor’s degree program in Industrial Technology (Grau en Enginyeria en Tecnologies Industrials, GETI, where it has also achieved highly satisfactory results.

  16. Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.

    Science.gov (United States)

    Munsell, Brent C; Wee, Chong-Yaw; Keller, Simon S; Weber, Bernd; Elger, Christian; da Silva, Laura Angelica Tomaz; Nesland, Travis; Styner, Martin; Shen, Dinggang; Bonilha, Leonardo

    2015-09-01

    The objective of this study is to evaluate machine learning algorithms aimed at predicting surgical treatment outcomes in groups of patients with temporal lobe epilepsy (TLE) using only the structural brain connectome. Specifically, the brain connectome is reconstructed using white matter fiber tracts from presurgical diffusion tensor imaging. To achieve our objective, a two-stage connectome-based prediction framework is developed that gradually selects a small number of abnormal network connections that contribute to the surgical treatment outcome, and in each stage a linear kernel operation is used to further improve the accuracy of the learned classifier. Using a 10-fold cross validation strategy, the first stage in the connectome-based framework is able to separate patients with TLE from normal controls with 80% accuracy, and second stage in the connectome-based framework is able to correctly predict the surgical treatment outcome of patients with TLE with 70% accuracy. Compared to existing state-of-the-art methods that use VBM data, the proposed two-stage connectome-based prediction framework is a suitable alternative with comparable prediction performance. Our results additionally show that machine learning algorithms that exclusively use structural connectome data can predict treatment outcomes in epilepsy with similar accuracy compared with "expert-based" clinical decision. In summary, using the unprecedented information provided in the brain connectome, machine learning algorithms may uncover pathological changes in brain network organization and improve outcome forecasting in the context of epilepsy. Copyright © 2015 Elsevier Inc. All rights reserved.

  17. Evaluating data distribution and drift vulnerabilities of machine learning algorithms in secure and adversarial environments

    Science.gov (United States)

    Nelson, Kevin; Corbin, George; Blowers, Misty

    2014-05-01

    Machine learning is continuing to gain popularity due to its ability to solve problems that are difficult to model using conventional computer programming logic. Much of the current and past work has focused on algorithm development, data processing, and optimization. Lately, a subset of research has emerged which explores issues related to security. This research is gaining traction as systems employing these methods are being applied to both secure and adversarial environments. One of machine learning's biggest benefits, its data-driven versus logic-driven approach, is also a weakness if the data on which the models rely are corrupted. Adversaries could maliciously influence systems which address drift and data distribution changes using re-training and online learning. Our work is focused on exploring the resilience of various machine learning algorithms to these data-driven attacks. In this paper, we present our initial findings using Monte Carlo simulations, and statistical analysis, to explore the maximal achievable shift to a classification model, as well as the required amount of control over the data.

  18. It's Not Just About More Data: Translation of Science and Decision Support Evaluation for Climate Impact Indicators

    Science.gov (United States)

    Kenney, M. A.

    2014-12-01

    The U.S. Global Change Research Program is currently considering establishing a National Climate Indicators System, which would be a set of physical, ecological, and societal indicators that would communicate key aspects of climate changes, impacts, vulnerabilities, and preparedness to inform mitigation and adaptation decisions. Thus, over the past several years 150+ scientists and practitioners representing a range of expertise from the climate system to natural systems to human sectors have developed a set of indicator recommendations that could be used as a first step to establishing such an indicator system. These recommendations have been implemented into a pilot system, with the goal of working with stakeholder communities to evaluate the understandability of individual indicators and learn how users are combining indicators for their own understanding or decision needs through this multiple Federal agency decision support platform. This prototype system provides the perfect test bed for evaluating the translation of scientific data - observations, remote sensing, and citizen science data -- and data products, such as indicators, for decision-making audiences. Often translation of scientific information into decision support products is developed and improved given intuition and feedback. Though this can be useful in many cases, more rigorous testing using social science methodologies would provide greater assurance that the data products are useful for the intended audiences. I will present some initial research using surveys to assess the understandability of indicators and whether that understanding is influenced by one's attitude toward climate change. Such information is critical to assess whether products developed for scientists by scientists have been appropriately translated for non-scientists, thus assuring that the data will have some value for the intended audience. Such survey information will provide a data driven approach to further develop and

  19. Computer-aided Translation Technology and Its Applications

    Institute of Scientific and Technical Information of China (English)

    汪美侠; 何大顺

    2014-01-01

    This article begins with a brief analysis of the significance of translation technology in different spheres of modern life, followed by a distinction between machine translation (MT) and computer-aided translation (CAT). It then describes some trans-lation resources and tools and examines the negative and positive aspects of computer-aided translations. Finally it comes to a conclusion that it would be greatly efficient and productive for the translators to acquire the new skills in the translation work-place.

  20. On the Systematicity of Human Translation Processes

    DEFF Research Database (Denmark)

    Carl, Michael; Dragsted, Barbara; Lykke Jakobsen, Arnt

    While translation careers and the translation profession become more globalised and more technological, we are still far from understanding how humans actually translate and how they could be best supported by machines. In this paper we attempt to outline a method which helps to uncover character...

  1. 基于有限状态自动机的远程命令识别与解析%Recognition & Translation of Remote Commands Based on Finite State Machine

    Institute of Scientific and Technical Information of China (English)

    毛凤翔; 韩冰

    2013-01-01

    远程命令识别与解析是嵌入式环境中终端-控制台和上-下位机模式实现远程管控的基础和关键.文中分析水下探测智能终端的工作过程,提出了一种基于有限状态自动机的远程命令识别与解析方法,智能终端可以根据工作状态自动机模型对远程命令进行快速、准确地响应,避免了复杂的计算和繁琐的决策过程.实验发现,水下探测智能终端及时识别出控制台发送的管控指令,按要求转入相应的工作状态,该方法有效地提高了水下探测智能终端机的工作性能.%It is a fundamental and key problem of how to correctly recognize and translate remote commands for terminal-console and upper-low computer to conduct remote management and control in embedded systems.By carefully analyzing working procedure of underwater probe terminal in this paper,an effective method based on finite state machine model is put forward,which can quickly and accurately respond the remote instructions,and avoid complicated computation and decision.Applied practices show the underwater probe intelligent terminal can understand kinds of management-control instructions sent from console machine,and properly tune to corresponding working mode,which can greatly improve the performance of underwater probe intelligent terminal.

  2. Research on joint Chinese-Japanese word segmentation for phrase-based statistical machine translation%面向短语统计机器翻译的汉日联合分词研究

    Institute of Scientific and Technical Information of China (English)

    吴培昊; 徐金安; 张玉洁

    2015-01-01

    Unknown words and word segmentation granularity are two main problems for Chinese-Japanese machine translation. Word segmentation is the first important step for Chinese and Japanese natural language processing. As Chi-nese and Japanese word segmentation is processed with different tagging system and semantic performance, the granularity of word segmentation results should be readjusted to improve the performance of Statistical Machine Translation(SMT). This paper proposes an approach to adjust the word segmentation granularity for improving the performance of SMT, which combines Hanzi-Kanji comparison table and Japanese-Chinese dictionary. Experimental results express that the pro-posed method could adjust the granularity between Chinese and Japanese effectively and improve the performance of SMT. This paper analyses the experimental results and discusses the effect of joint Chinese-Japanese word segmentation granularity for phrase-based SMT.%未登录词与分词粒度是汉日日汉机器翻译研究的两个主要问题。与英语等西方语言不同,汉语与日语词语间不存在空格,分词为汉日双语处理的重要工作。由于词性标注体系、文法及语义表现上的差异,分词结果的粒度需要进一步调整,以改善统计机器翻译系统的性能。提出了面向统计机器翻译的基于汉日汉字对照表及日汉词典信息的汉语与日语的分词粒度调整方法。实验结果表明,该方法能有效地调节源语言和目标语言端的分词粒度,提高统计机器翻译系统的性能。通过对比实验结果,分析探讨分词粒度对汉日双语统计系统性能的影响。

  3. Computing translational diffusion and sedimentation coefficients: an evaluation of experimental data and programs.

    Science.gov (United States)

    Rocco, Mattia; Byron, Olwyn

    2015-09-01

    Hydrodynamic characterisation of (bio)macromolecules is a well-established field. Observables linked to translational friction, such as the translational diffusion (Dt(0)(20,w)) and sedimentation (s(0)(20,w)) coefficients, are the most commonly used parameters. Both can be computed starting from high-resolution structures, with several methods available. We present here a comprehensive study of the performance of public-domain software, comparing the calculated Dt(0)(20,w) and s(0)(20,w) for a set of high-resolution structures (ranging in mass from 12,358 to 465,557 Da) with their critically appraised literature experimental counterparts. The methods/programs examined are AtoB, SoMo, BEST, Zeno (all implemented within the US-SOMO software suite) and HYDROPRO. Clear trends emerge: while all programs can reproduce Dt(0)(20,w) on average to within ±5% (range -8 to +7%), SoMo and AtoB slightly overestimate it (average +2 and +1%, range -2 to +7 and -4 to +5%, respectively), and BEST and HYDROPRO underestimate it slightly more (average -3 and -4%, range -7 to +2 and -8 to +2%, respectively). Similar trends are observed with s(0)(20,w), but the comparison is likely affected by the necessary inclusion of the partial specific volume in the computations. The somewhat less than ideal performances could result from the hydration treatment in BEST and HYDROPRO, and the bead overlap removal in SoMo and AtoB. Interestingly, a combination of SoMo overlapping bead models followed by Zeno computation produced better results, with a 0% average error (range -4 to +4%). Indeed, this might become the method of choice, once computational speed considerations now favouring the 5 Å-grid US-SOMO AtoB approach are overcome.

  4. Sonographic evaluation of the ranges of condylar translation and of temporomandibular joint space as well as first comparison with symptomatic joints.

    Science.gov (United States)

    Landes, Constantin A; Sader, Robert

    2007-12-01

    To assess the normal ranges of condylar translation and width of the lateral temporomandibular joint (TMJ) of a healthy population by sonography and permit comparison of findings made in individual patients using this norm. Fifty non-orthodontically treated, asymptomatic volunteers (100 joints) were subdivided by Angle classes (I = 20, II = 15, III = 15) and evaluated. Reliability was assessed in 15 of those volunteers. The validity was checked in 8 more patients with temporomandibular dysfunction (TMD), all class II with disc dislocation diagnosed by means of MRI. Sonographic assessment of condylar translation from centric occlusion to maximum opening and during protrusion and mediotrusion was performed with a probe positioned parallel to the zygomatic arch. Translation during opening was 12.7+/-3.2 mm in class I, 12.9+/-3.3 mm in class II and 10.9+/-3.6 mm in class III. Protrusive translation was 7.4+/-2.5 mm/10.3+/-4.4 mm/6.8+/-2.1mm, respectively; and mediotrusive translation was 7.9+/-2.6 mm/10.8+/-3.4 mm/6.7+/-2.4 mm, respectively. Class II had longer and class III shorter condylar translations. The lateral joint space in occlusion and protrusion was wider in class II than in classes I and III. Symptomatic patients had shorter condylar translations than asymptomatic volunteers. Patients with class II had a more anteroposterior mobility, class III shorter translation. Significant sonographic differences of condylar translation from the norm did not correspond with clinical findings. This demonstrates the higher sensitivity of sonography for the evaluation of individual condylar translation. It is a sensitive tool for assessing joint function.

  5. The Persian Version of Örebro Musculoskeletal Pain Screening Questionnaire: Translation and Evaluation of its Psychometric Properties

    Science.gov (United States)

    Sharafi, S. Elham; Hafizi, Sina; Shahi, Mohammad Hosein Pourgharib; Kordi, Ramin; Noorbala, Ahmad Ali; Arbabi, Mohammad; Nejatisafa, Ali-Akbar

    2017-01-01

    Background: Screening of psychosocial risk factors for chronic low back pain (LBP) is essential. The Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ) is one of the most recognized and widely used instruments for this purpose. This study aimed to translate the ÖMPSQ into Persian, to adapt it for Iranian culture, and to investigate its psychometric properties. Methods: Using a linguistic methodology, the ÖMPSQ was translated into Persian according to the World Health Organization guideline. A total of 106 patients with LBP participated in the study. Internal consistency and test-retest reliability were evaluated. Concurrent validity was estimated with Pearson's correlation between the ÖMPSQ and short form health survey (SF-12), Hospital Anxiety and Depression Scale (HADS), and visual analog scale (VAS). Factor analysis was used to evaluate dimensionality. Results: The content validity index was 0.80. The instrument had a good test-retest reliability (intraclass correlation coefficient = 0.82) and internal consistency (Cronbach's α =0.82). Factor analysis indicates that factorial structure of Persian version was similar to original questionnaire. There was a significant correlation (r = 0.252–0.639, P psychology domain of ÖMPSQ (r = −0.364, P psychology domain of ÖMPSQ was found (r = 0.49, P cultural equivalent for original English version. PMID:28348724

  6. Advances in three-dimensional field analysis and evaluation of performance parameters of electrical machines

    Science.gov (United States)

    Sivasubramaniam, Kiruba

    This thesis makes advances in three dimensional finite element analysis of electrical machines and the quantification of their parameters and performance. The principal objectives of the thesis are: (1)the development of a stable and accurate method of nonlinear three-dimensional field computation and application to electrical machinery and devices; and (2)improvement in the accuracy of determination of performance parameters, particularly forces and torque computed from finite elements. Contributions are made in two general areas: a more efficient formulation for three dimensional finite element analysis which saves time and improves accuracy, and new post-processing techniques to calculate flux density values from a given finite element solution. A novel three-dimensional magnetostatic solution based on a modified scalar potential method is implemented. This method has significant advantages over the traditional total scalar, reduced scalar or vector potential methods. The new method is applied to a 3D geometry of an iron core inductor and a permanent magnet motor. The results obtained are compared with those obtained from traditional methods, in terms of accuracy and speed of computation. A technique which has been observed to improve force computation in two dimensional analysis using a local solution of Laplace's equation in the airgap of machines is investigated and a similar method is implemented in the three dimensional analysis of electromagnetic devices. A new integral formulation to improve force calculation from a smoother flux-density profile is also explored and implemented. Comparisons are made and conclusions drawn as to how much improvement is obtained and at what cost. This thesis also demonstrates the use of finite element analysis to analyze torque ripples due to rotor eccentricity in permanent magnet BLDC motors. A new method for analyzing torque harmonics based on data obtained from a time stepping finite element analysis of the machine is

  7. Evaluation of machine learning tools for inspection of steam generator tube structures using pulsed eddy current

    Science.gov (United States)

    Buck, J. A.; Underhill, P. R.; Morelli, J.; Krause, T. W.

    2017-02-01

    Degradation of nuclear steam generator (SG) tubes and support structures can result in a loss of reactor efficiency. Regular in-service inspection, by conventional eddy current testing (ECT), permits detection of cracks, measurement of wall loss, and identification of other SG tube degradation modes. However, ECT is challenged by overlapping degradation modes such as might occur for SG tube fretting accompanied by tube off-set within a corroding ferromagnetic support structure. Pulsed eddy current (PEC) is an emerging technology examined here for inspection of Alloy-800 SG tubes and associated carbon steel drilled support structures. Support structure hole size was varied to simulate uniform corrosion, while SG tube was off-set relative to hole axis. PEC measurements were performed using a single driver with an 8 pick-up coil configuration in the presence of flat-bottom rectangular frets as an overlapping degradation mode. A modified principal component analysis (MPCA) was performed on the time-voltage data in order to reduce data dimensionality. The MPCA scores were then used to train a support vector machine (SVM) that simultaneously targeted four independent parameters associated with; support structure hole size, tube off-centering in two dimensions and fret depth. The support vector machine was trained, tested, and validated on experimental data. Results were compared with a previously developed artificial neural network (ANN) trained on the same data. Estimates of tube position showed comparable results between the two machine learning tools. However, the ANN produced better estimates of hole inner diameter and fret depth. The better results from ANN analysis was attributed to challenges associated with the SVM when non-constant variance is present in the data.

  8. Translational pain research: Evaluating analgesic effect in experimental visceral pain models

    Institute of Scientific and Technical Information of China (English)

    Anne Estrup Olesen; Trine Andresen; Lona Louring Christrup; Richard N Upton

    2009-01-01

    Deep visceral pain is frequent and presents major challenges in pain management, since its pathophysiology is still poorly understood. One way to optimize treatment of visceral pain is to improve knowledge of the mechanisms behind the pain and the mode of action of analgesic substances. This can be achieved through standardized experimental human pain models. Experimental pain models in healthy volunteers are advantageous forevaluation of analgesic action, as this is often difficult to assess in the clinic because of confounding factors such as sedation, nausea and general malaise. These pain models facilitate minimizing the gap between knowledge gained in animal and human clinical studies. Combining experimental pain studies and pharmacokinetic studies can improve understanding of the pharmacokineticpharmacodynamic relationship of analgesics and, thus, provide valuable insight into optimal clinical treatment of visceral pain. To improve treatment of visceral pain, it is important to study the underlying mechanisms of pain and the action of analgesics used for its treatment. An experimental pain model activates different modalities and can be used to investigate the mechanism of action of different analgesics in detail. In combination with pharmacokinetic studies and objective assessment such as electroencephalography, new information re- garding a given drug substance and its effects can be obtained. Results from experimental human visceral pain research can bridge the gap in knowledge between animal studies and clinical condition in patients suffering from visceral pain, and thus constitute the missing link in translational pain research.

  9. Influences, Translations, Settings: An Evaluation of the Literary Relations between Ireland and Italy

    Directory of Open Access Journals (Sweden)

    Chiara Sciarrino

    2011-08-01

    Full Text Available The text is an attempt to draw conclusions about the literary relations between Italy and Ireland. Taking as its starting point a booklet published by the Italian Cultural Institute Dublin in 1964, the study surveys the influences of Pirandello and Dante in Ireland and analyses in detail translations of Italian poems made by Denis Devlin, Gerald Dawe, Tom Paulin, Derek Mahon, Paul Muldoon, Eiléan Ní Chuilleanáin, Harry Clifton and Desmond O’Grady (their authors: Ungaretti, Quasimodo, Montale, Leopardi. Next, it deals with the ways Italian artistic heritage and natural beauties have been re-interpreted by Irish travelers, according special attention to Elizabeth Bowen’s work. The following sections investigate the relationship between Italian visual arts and music and Anglo-Irish Literature, exploring in particular Frank McGuinness’ Caravaggio, Tom Murphys’ The Gigli Concert and Jim Nolan’s The Salvage Shop. The final part of the essay is dedicated to the role Italian migrants play in Irish narrative.  

  10. Examining Psychometric Characteristics of a Menopausal Health Questionnaire: Translation and Psychometric Evaluation of the Persian Version.

    Science.gov (United States)

    Sharifi, Nasibeh; Khazaeian, Somayyeh; Khazaeian, Safoura; Masjoudi, Marzieh; Kazemi, Azita Fathnejad; Nia, Anvar-Sadat Nayebi

    2017-01-01

    Menopause is a natural event in a woman's life which affects her general health and quality of life. However, currently there is no Persian instrument for measuring health status during this period. Therefore, the present study was performed to assess the validity and reliability of the Persian version of the Menopausal Health Questionnaire in Iran. The questionnaire was translated to Persian with the approach of Jones et al and its validity was assessed by a panel of experts. The Persian version was tested among 300 patients who had referred to the gynecological clinic at the Ali ibn Abi Talib Hospital in Zahedan. Convenience method was used for sampling. Exploratory factor analysis was used to assess construct validity of collected data. Test-retest method was used to determine reliability in two-week intervals and Cronbach's alpha coefficient was used to check the internal consistency. According to research findings, the exploratory factor analysis showed an acceptable fitness. Varimax rotation indicated 6 factors with Eagan values more than 1, which explained 49.27% of the variance. Cronbach's alpha coefficient for the entire tool was 0.84 and it was from 0.50 to 0.82 for the subcategories. All factors had a significant case-total correlation. Results of test-retest showed the stability of the questionnaire and its subcategories, and the intraclass correlation coefficient (ICC) was assessed to be 0.93. The 14-item Menopausal Health Questionnaire is a valid and reliable instrument to assess postmenopausal women's health.

  11. Reducing fall risk by improving balance control: development, evaluation and knowledge-translation of new approaches.

    Science.gov (United States)

    Maki, Brian E; Sibley, Katherine M; Jaglal, Susan B; Bayley, Mark; Brooks, Dina; Fernie, Geoff R; Flint, Alastair J; Gage, William; Liu, Barbara A; McIlroy, William E; Mihailidis, Alex; Perry, Stephen D; Popovic, Milos R; Pratt, Jay; Zettel, John L

    2011-12-01

    Falling is a leading cause of serious injury, loss of independence, and nursing-home admission in older adults. Impaired balance control is a major contributing factor. Results from our balance-control studies have been applied in the development of new and improved interventions and assessment tools. Initiatives to facilitate knowledge-translation of this work include setting up a new network of balance clinics, a research-user network and a research-user advisory board. Our findings support the efficacy of the developed balance-training methods, balance-enhancing footwear, neuro-prosthesis, walker design, handrail-cueing system, and handrail-design recommendations in improving specific aspects of balance control. IMPACT ON KNOWLEDGE USERS: A new balance-assessment tool has been implemented in the first new balance clinic, a new balance-enhancing insole is available through pharmacies and other commercial outlets, and handrail design recommendations have been incorporated into 10 Canadian and American building codes. Work in progress is expected to have further impact. Copyright © 2011 National Safety Council and Elsevier Ltd. All rights reserved.

  12. The use of cutting temperature to evaluate the machinability of titanium alloys.

    Science.gov (United States)

    Kikuchi, Masafumi

    2009-02-01

    This study investigated the machinability of titanium, two commercial titanium alloys (Ti-6Al-4V and Ti-6Al-7Nb) and free-cutting brass using the cutting temperature. The cutting temperature was estimated by measuring the thermal electromotive force of the tool-workpiece thermocouple during cutting. The thermoelectric power of each metal relative to the tool had previously been determined. The metals were slotted using a milling machine and carbide square end mills under four cutting conditions. The cutting temperatures of Ti-6Al-4V and Ti-6Al-7Nb were significantly higher than that of the titanium, while that of the free-cutting brass was lower. This result coincided with the relationship of the magnitude of the cutting forces measured in a previous study. For each metal, the cutting temperature became higher when the depth of cut or the cutting speed and feed increased. The increase in the cutting speed and feed was more influential on the value than the increase in the depth of cut when two cutting conditions with the same removal rates were compared. The results demonstrated that cutting temperature measurement can be utilized to develop a new material for dental CAD/CAM applications and to optimize the cutting conditions.

  13. Performance Evaluation of a Bench-Top Precision Glass Molding Machine

    Directory of Open Access Journals (Sweden)

    Peter Wachtel

    2013-01-01

    Full Text Available A Dyna Technologies Inc. GP-5000HT precision glass molding machine has been found to be a capable tool for bridging the gap between research-level instruments and the higher volume production machines typically used in industry, providing a means to apply the results of rigorous instrumentation analysis performed in the lab to industrial PGM applications. The GP-5000HT's thermal and mechanical functionality is explained and characterized through the measurement baseline functionality and the associated error. These baseline measurements were used to determine the center thickness repeatability of pressed glass parts, which is the main metric used in industrial pressing settings. The baselines and the repeatability tests both confirmed the need for three warm-up pressing cycles before the press reaches a thermal steady state. The baselines used for pressing a 2 mm glass piece to a 1 mm target center thickness yielded an average center thickness of 1.001 mm and a standard deviation of thickness of 0.0055 mm for glass samples pressed over 3 consecutive days. The baseline tests were then used to deconvolve the sources of error of final pressed piece center thickness.

  14. Multiple-Language Translation System Focusing on Long-distance Medical and Outpatient Services

    Directory of Open Access Journals (Sweden)

    Rena Aierken

    2016-10-01

    Full Text Available For people living in the countryside, an effective long-distance medical and health service is very important. People living in western China, especially, require convenient communication in their native language with doctors working in a modern city. To address this problem, a multiple-language translation system for long-distance medical and outpatient services is discussed. This system initially provides a table containing basic information including disease names and symptoms for different medical classifications, and then translates the sentences selected from the table automatically using a machine translation system. Finally, a PDF file is created for the doctor and the patient. In this paper, the system construction and evaluation of the machine translation are introduced.

  15. Learning Parse and Translation Decisions From Examples With Rich Context

    CERN Document Server

    Hermjakob, U; Hermjakob, Ulf; Mooney, Raymond J.

    1997-01-01

    We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning techniques, the system uses parse action examples acquired under supervision to generate a deterministic shift-reduce parser in the form of a decision structure. It relies heavily on context, as encoded in features which describe the morphological, syntactic, semantic and other aspects of a given parse state.

  16. Translational Creativity

    DEFF Research Database (Denmark)

    Nielsen, Sandro

    2010-01-01

    A long-established approach to legal translation focuses on terminological equivalence making translators strictly follow the words of source texts. Recent research suggests that there is room for some creativity allowing translators to deviate from the source texts. However, little attention...... is given to genre conventions in source texts and the ways in which they can best be translated. I propose that translators of statutes with an informative function in expert-to-expert communication may be allowed limited translational creativity when translating specific types of genre convention....... This creativity is a result of translators adopting either a source-language or a target-language oriented strategy and is limited by the pragmatic principle of co-operation. Examples of translation options are provided illustrating the different results in target texts. The use of a target-language oriented...

  17. Theoretical evaluation of the double U-core switched reluctance machine

    DEFF Research Database (Denmark)

    Jæger, Rasmus; Nielsen, Simon Staal; Rasmussen, Peter Omand

    2017-01-01

    The switched reluctance machine (SRM) has seen a lot of interest due to its simplicity and ruggedness. Much attention have been paid in academia to improve on some of the disadvantages of the technology such as torque ripple, acoustic noise and low torque density. In this paper a topology, namely...... the double U-core SRM, is reviewed. This topology improves on some of the disadvantages of the regular SRM. Torque ripple is reduced and the torque density is increased for the same amount of material, by reconfiguring the topology of the regular SRM and increasing the number of poles. The result...... is a segmented stator structure where each segment can be wound individually and assembled afterwards. Several similar technologies have been demonstrated, and the claimed advantages have been proven in comparison with regular SRMs with a lower pole count. In this paper, the technology will be compared...

  18. Microbiological evaluation of hot beverages dispensed by vending machines from the Army barracks of Brigata Meccanizzata Aosta located in Messina

    Directory of Open Access Journals (Sweden)

    Chiara Beninati

    2013-04-01

    Full Text Available The aim of the present study was to evaluate the microbiological quality of hot beverages dispensed by vending machines (VMs. The study was carried out on 203 samples from 15 VMs located in 5 Army barracks in Messina. The samples included: water used for preparation of beverages, swab of water tank, swab of blender machine, chocolate powder, milk powder, cappuccino and chocolate drink (29 samples for each types. All samples were examined for total bacterial count (TBC, coliforms, Escherichia coli, enterococci, Pseudomonas aeruginosa, Staphylococcus aureus, Clostri - dium perfringens, Aeromonas spp., Salmonella spp. and Listeria monocytogenes. For the water samples the colony count (CC at 22°C and at 37°C was made. The average values of CC at 22°C and at 37°C were of 10.86x10²±8.72x10² CFU/mL and of 21.72x10²±16.44x10² CFU/mL, respectively. P. aeruginosa, coliform bacteria, S. aureus, E. coli and molds were detected from water. The TBC ranged from 176 CFU/g (±275.2 for chocolate powder to 294.8±69.4 CFU/g for milk powder. S. aureus and molds were isolated from milk powder, while coliforms, E. coli and S. aureus were observed in chocolate powder. The average TBC for hot beverages ranged from 34.32x10³±97.77x10³ CFU/mL for cappuccino to 36.59x10³±10.47x104 CFU/mL for chocolate drink. Coliforms, E. coli, enterococci and molds were detected from cappuccino, while enterococci and molds were observed in chocolate drink. The microbiological characteristics of the water and powders, hygiene, and the periodic cleaning of machines, influenced the microbiological quality of the hot beverages dispensed by VMs.

  19. English Translation of Chinese Personal Names

    Institute of Scientific and Technical Information of China (English)

    徐洁

    2008-01-01

    This paper talks about the translation of personal names from Chinese into English, which is complicated by different factors, including orthographic, phonetic, geographic and social ones. To translate personal names appropriately, a wide range of knowledge is required. Although translation machine is more often used nowadays, it cannot take place of person in the end. Several types of name translation will be talked about in this paper.

  20. The Temple Translator’s Workstation Project

    Science.gov (United States)

    1996-01-01

    allows both translator/analysts and monolingual analysts to use the machine- translation function for assessing the relevance of a translated...using a multilingual editor (Figure2). Source documents and their translations are managed using the Tipster Document Manager developed at CRL...an English morphological generator [Penman 88]. • A multilingual document editor (the Tipster Editor for Documents developed at CRL under the

  1. Machine learning techniques in dialogue act recognition

    Directory of Open Access Journals (Sweden)

    Mark Fišel

    2007-05-01

    Full Text Available This report addresses dialogue acts, their existing applications and techniques of automatically recognizing them, in Estonia as well as elsewhere. Three main applications are described: in dialogue systems to determine the intention of the speaker, in dialogue systems with machine translation to resolve ambiguities in the possible translation variants and in speech recognition to reduce word recognition error rate. Several recognition techniques are described on the surface level: how they work and how they are trained. A summary of the corresponding representation methods is provided for each technique. The paper also includes examples of applying the techniques to dialogue act recognition.The author comes to the conclusion that using the current evaluation metric it is impossible to compare dialogue act recognition techniques when these are applied to different dialogue act tag sets. Dialogue acts remain an open research area, with space and need for developing new recognition techniques and methods of evaluation.

  2. Semantic Vector Machines

    CERN Document Server

    Vincent, Etter

    2011-01-01

    We first present our work in machine translation, during which we used aligned sentences to train a neural network to embed n-grams of different languages into an $d$-dimensional space, such that n-grams that are the translation of each other are close with respect to some metric. Good n-grams to n-grams translation results were achieved, but full sentences translation is still problematic. We realized that learning semantics of sentences and documents was the key for solving a lot of natural language processing problems, and thus moved to the second part of our work: sentence compression. We introduce a flexible neural network architecture for learning embeddings of words and sentences that extract their semantics, propose an efficient implementation in the Torch framework and present embedding results comparable to the ones obtained with classical neural language models, while being more powerful.

  3. Machine Learning and Radiology

    Science.gov (United States)

    Wang, Shijun; Summers, Ronald M.

    2012-01-01

    In this paper, we give a short introduction to machine learning and survey its applications in radiology. We focused on six categories of applications in radiology: medical image segmentation, registration, computer aided detection and diagnosis, brain function or activity analysis and neurological disease diagnosis from fMR images, content-based image retrieval systems for CT or MRI images, and text analysis of radiology reports using natural language processing (NLP) and natural language understanding (NLU). This survey shows that machine learning plays a key role in many radiology applications. Machine learning identifies complex patterns automatically and helps radiologists make intelligent decisions on radiology data such as conventional radiographs, CT, MRI, and PET images and radiology reports. In many applications, the performance of machine learning-based automatic detection and diagnosis systems has shown to be comparable to that of a well-trained and experienced radiologist. Technology development in machine learning and radiology will benefit from each other in the long run. Key contributions and common characteristics of machine learning techniques in radiology are discussed. We also discuss the problem of translating machine learning applications to the radiology clinical setting, including advantages and potential barriers. PMID:22465077

  4. Translating theory into practice:evaluating a cognitive lie detection training workshop

    OpenAIRE

    Vrij, Aldert; Leal, Sharon; Mann, Samantha; Vernham, Zarah; Brankaert, Femke

    2015-01-01

    A training workshop utilising the most up to date research in cognitive lie detection was designed and evaluated. For this evaluation, 27 experienced police detectives each interviewed one mock-suspect (a truth teller or liar) before training and another mock-suspect (a truth teller or liar) after training. Different mock-crimes were used in the pre- and post training interviews. The police detectives were free to interview the mock-suspect in any way they felt appropriate but were asked to t...

  5. Translation Nation

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    The International Federation of Translators will hold its largest ever world congress in China on the eve of 2008 Olympic Games china’ s position as a powerhouse of the translation industry is to be cemented,

  6. Translating Europe

    Directory of Open Access Journals (Sweden)

    Yves Chevrel

    2007-07-01

    Europe thinks in many languages and Europe is a land of translation. Translation is a means of transmitting culture, a means of making it available to others and an invitation to share. It is a cement which binds Europe together.

  7. teaching translation

    Directory of Open Access Journals (Sweden)

    Sergio Bolaños Cuéllar

    2007-01-01

    Full Text Available The advance in cultural-oriented perspectives in Translation Studies has sometimes played down the text linguistic nature of translation. A pilot study in teaching translation was carried out to make students aware of the text linguistic character of translating and help them to improve their translation skills, particularly with an emphasis on self-awareness and self-correcting strategies. The theoretical background is provided by the Dynamic Translation Model (2004, 2005 proposed by the author, with relevant and important contributions taken from Genette’s (1982 transtextuality phenomena (hypertext, hypotext, metatext, paratext, intertext and House and Kasper’s (1981 pragmatic modality markers (downgraders, upgraders. The key conceptual role of equivalence as a defining feature of translation is also dealt with. The textual relationship between Source Language Text (slt is deemed to be pivotal for performing translation and correction tasks in the classroom. Finally, results of the pilot study are discussed and some conclusions are drawn.

  8. Performance Evaluation of Machine Learning Methods for Leaf Area Index Retrieval from Time-Series MODIS Reflectance Data

    Science.gov (United States)

    Wang, Tongtong; Xiao, Zhiqiang; Liu, Zhigang

    2017-01-01

    Leaf area index (LAI) is an important biophysical parameter and the retrieval of LAI from remote sensing data is the only feasible method for generating LAI products at regional and global scales. However, most LAI retrieval methods use satellite observations at a specific time to retrieve LAI. Because of the impacts of clouds and aerosols, the LAI products generated by these methods are spatially incomplete and temporally discontinuous, and thus they cannot meet the needs of practical applications. To generate high-quality LAI products, four machine learning algorithms, including back-propagation neutral network (BPNN), radial basis function networks (RBFNs), general regression neutral networks (GRNNs), and multi-output support vector regression (MSVR) are proposed to retrieve LAI from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data in this study and performance of these machine learning algorithms is evaluated. The results demonstrated that GRNNs, RBFNs, and MSVR exhibited low sensitivity to training sample size, whereas BPNN had high sensitivity. The four algorithms performed slightly better with red, near infrared (NIR), and short wave infrared (SWIR) bands than red and NIR bands, and the results were significantly better than those obtained using single band reflectance data (red or NIR). Regardless of band composition, GRNNs performed better than the other three methods. Among the four algorithms, BPNN required the least training time, whereas MSVR needed the most for any sample size. PMID:28045443

  9. Evaluating the Sustainability of SPARK Physical Education: A Case Study of Translating Research into Practice

    Science.gov (United States)

    Dowda, Marsha; Sallis, James F.; McKenzie, Thomas L.; Rosengard, Paul; Kohl, Harold W., III

    2005-01-01

    Dissemination and sustainability of evidence-based physical education programs (PE) has been studied rarely. The sustainability of a health-related PE program (SPARK) was independently evaluated in 111 elementary schools in 7 states. Surveys were mailed to schools that had received SPARK curriculum books, training, and follow-up (response rate =…

  10. 75 FR 81611 - Submission for OMB Review; Comment Request; National Evaluation of the Clinical and Translational...

    Science.gov (United States)

    2010-12-28

    ... collected will be used to provide analytical and policy support to NCRR, assisting NIH in making decisions... HUMAN SERVICES Submission for OMB Review; Comment Request; National Evaluation of the Clinical and... Health has submitted to the Office of Management and Budget (OMB) a request to review and approve...

  11. Literal Translation and Free Translation

    Institute of Scientific and Technical Information of China (English)

    彭佼

    2011-01-01

    @@ Dispute over the method of literal translation and that of free translation had a long history in China, in East Jin Dynasty Daoan(道安314-385),a well-known monk, was the representative of those who firmly advocated literal translation.Since he feared that free translation might not be true to the original, he advocated strict literal translation so as to preserve the true features.Works under his direction were typical of word-for-word translation, in which no alteration was made except accidental changes in word order.

  12. Evaluation of compliance with the self-regulation agreement of the food and drink vending machine sector in primary schools in Madrid, Spain, in 2008.

    Science.gov (United States)

    Royo-Bordonada, Miguel A; Martínez-Huedo, María A

    2014-01-01

    To evaluate compliance with the self-regulation agreement of the food and drink vending machine sector in primary schools in Madrid, Spain. Cross-sectional study of the prevalence of vending machines in 558 primary schools in 2008. Using the directory of all registered primary schools in Madrid, we identified the presence of machines by telephone interviews and evaluated compliance with the agreement by visiting the schools and assessing accessibility, type of publicity, the products offered and knowledge of the agreement. The prevalence of schools with vending machines was 5.8%. None of the schools reported knowledge of the agreement or of its nutritional guidelines, and most machines were accessible to primary school pupils (79.3%) and packed with high-calorie, low-nutrient-dense foods (58.6%). Compliance with the self-regulation agreement of the vending machines sector was low. Stricter regulation should receive priority in the battle against the obesity epidemic. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

  13. Manually Classified Errors in Czech-Slovak Translation

    OpenAIRE

    Galuščáková, Petra; Bojar, Ondřej

    2012-01-01

    Outputs of five Czech-Slovak machine translation systems (Česílko, Česílko 2, Google Translate and Moses with different settings) for first 50 sentences of WMT 2010 testing set. The translations were manually processed and the errors were marked and classified according to the scheme by Vilar et al. (David Vilar, Jia Xu, Luis Fernando D’Haro, Hermann Ney: Error Analysis of Statistical Machine Translation Output, Proceedings of LREC-2006, 2006)

  14. Machine learning with R

    CERN Document Server

    Lantz, Brett

    2013-01-01

    Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or

  15. Research on Integrated Error Modeling and Evaluation Method of Five-axis Machine Tools%五轴数控机床综合误差建模评价方法研究

    Institute of Scientific and Technical Information of China (English)

    孙惠娟; 殷国富; 方辉; 向胜华; 林海峰

    2012-01-01

    In order to deal with the precision comprehensive evaluation analysis of five-axis machine tools, a comprehensive evaluation method for assessing geometric and servo error of machine tools was proposed. Through collaborative motion of two translational axes and a rotary axis, the circular error test was carried out using ball bar. The errors attributing to the total error of machine tools were analyzed according to the established error analysis and evaluation models. The analysis results indicated that the geometric errors remain con- stant, but the servo errors increase with the increase of the feed and are dominant about 75% of the total error at a feed of 10 000 mm/ min. The experimental results showed that the proposed error evaluation model and analysis results have high accuracy and provide a computation basis for error compensation of machine tools.%针对五轴数控机床精度综合评价分析的需要,提出了一种对机床几何误差和伺服误差进行综合评价的方法。该方法通过机床线性轴和旋转轴联动的方式,利用球杆仪进行圆度误差检测,根据所建立的误差分析评价模型,通过对机床运动过程中的各项误差对机床总误差的影响进行分析得知,随着进给速度的增加,机床的几何误差基本保持不变,而伺服误差在机床总误差中所占比重逐渐增大,当进给速度增大到10 000 mm/min时伺服误差占机床总误差的75%左右。实验结果表明本机床误差评价模型具有较高的准确性,分析结果可为机床的误差补偿提供计算依据。

  16. Handling Translation Divergences in Generation-Heavy Hybrid Machine Translation

    Science.gov (United States)

    2002-03-01

    currently valid OMB control number. 1. REPORT DATE MAR 2002 2. REPORT TYPE 3. DATES COVERED 00-03-2002 to 00-03-2002 4. TITLE AND SUBTITLE...n$<a>@?N+A< g?CE(CBIg HT?CN+`

  17. Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species

    KAUST Repository

    Fernandes, José Antonio

    2015-01-01

    The effect of different factors (spawning biomass, environmental conditions) on recruitment is a subject of great importance in the management of fisheries, recovery plans and scenario exploration. In this study, recently proposed supervised classification techniques, tested by the machine-learning community, are applied to forecast the recruitment of seven fish species of North East Atlantic (anchovy, sardine, mackerel, horse mackerel, hake, blue whiting and albacore), using spawning, environmental and climatic data. In addition, the use of the probabilistic flexible naive Bayes classifier (FNBC) is proposed as modelling approach in order to reduce uncertainty for fisheries management purposes. Those improvements aim is to improve probability estimations of each possible outcome (low, medium and high recruitment) based in kernel density estimation, which is crucial for informed management decision making with high uncertainty. Finally, a comparison between goodness-of-fit and generalization power is provided, in order to assess the reliability of the final forecasting models. It is found that in most cases the proposed methodology provides useful information for management whereas the case of horse mackerel is an example of the limitations of the approach. The proposed improvements allow for a better probabilistic estimation of the different scenarios, i.e. to reduce the uncertainty in the provided forecasts.

  18. Evaluating machine learning algorithms estimating tremor severity ratings on the Bain-Findley scale

    Science.gov (United States)

    Yohanandan, Shivanthan A. C.; Jones, Mary; Peppard, Richard; Tan, Joy L.; McDermott, Hugh J.; Perera, Thushara

    2016-12-01

    Tremor is a debilitating symptom of some movement disorders. Effective treatment, such as deep brain stimulation (DBS), is contingent upon frequent clinical assessments using instruments such as the Bain-Findley tremor rating scale (BTRS). Many patients, however, do not have access to frequent clinical assessments. Wearable devices have been developed to provide patients with access to frequent objective assessments outside the clinic via telemedicine. Nevertheless, the information they report is not in the form of BTRS ratings. One way to transform this information into BTRS ratings is through linear regression models (LRMs). Another, potentially more accurate method is through machine learning classifiers (MLCs). This study aims to compare MLCs and LRMs, and identify the most accurate model that can transform objective tremor information into tremor severity ratings on the BTRS. Nine participants with upper limb tremor had their DBS stimulation amplitude varied while they performed clinical upper-extremity exercises. Tremor features were acquired using the tremor biomechanics analysis laboratory (TREMBAL). Movement disorder specialists rated tremor severity on the BTRS from video recordings. Seven MLCs and 6 LRMs transformed TREMBAL features into tremor severity ratings on the BTRS using the specialists’ ratings as training data. The weighted Cohen’s kappa ({κ\\text{w}} ) defined the models’ rating accuracy. This study shows that the Random Forest MLC was the most accurate model ({κ\\text{w}}   =  0.81) at transforming tremor information into BTRS ratings, thereby improving the clinical interpretation of tremor information obtained from wearable devices.

  19. Understanding and Writing G & M Code for CNC Machines

    Science.gov (United States)

    Loveland, Thomas

    2012-01-01

    In modern CAD and CAM manufacturing companies, engineers design parts for machines and consumable goods. Many of these parts are cut on CNC machines. Whether using a CNC lathe, milling machine, or router, the ideas and designs of engineers must be translated into a machine-readable form called G & M Code that can be used to cut parts to precise…

  20. Understanding and Writing G & M Code for CNC Machines

    Science.gov (United States)

    Loveland, Thomas

    2012-01-01

    In modern CAD and CAM manufacturing companies, engineers design parts for machines and consumable goods. Many of these parts are cut on CNC machines. Whether using a CNC lathe, milling machine, or router, the ideas and designs of engineers must be translated into a machine-readable form called G & M Code that can be used to cut parts to precise…

  1. THE APPLICABILITY OF EVALUATION IN THE CASE OF AGRICULTURAL MACHINES REGARDING THE DETERMINATION OF FAIR VALUE

    Directory of Open Access Journals (Sweden)

    Cristina Mihaela Onica

    2015-05-01

    Full Text Available The establishment of the utility of the agricultural machines’ evaluation is based on a well-defined objective within the real estate entity through the fact that it reflects an accurate image of the heritage of the society. The casuistry is based on the display of the evaluation of the tangible assets that belong to an agricultural society where theoretical concepts are founded, in regard to the evaluation, continuing with the concepts that are specific to the appropriate evaluation of these objectives.

  2. A translational continuum of model systems for evaluating treatment strategies in Alzheimer’s disease: isradipine as a candidate drug

    Science.gov (United States)

    Copenhaver, Philip F.; Anekonda, Thimmappa S.; Musashe, Derek; Robinson, Kristine M.; Ramaker, Jenna M.; Swanson, Tracy L.; Wadsworth, Teri L.; Kretzschmar, Doris; Woltjer, Randall L.; Quinn, Joseph F.

    2011-01-01

    SUMMARY A growing body of evidence supports the ‘calcium hypothesis’ of Alzheimer’s disease (AD), which postulates that a variety of insults might disrupt the homeostatic regulation of neuronal calcium (Ca2+) in the brain, resulting in the progressive symptoms that typify the disease. However, despite ongoing efforts to develop new methods for testing therapeutic compounds that might be beneficial in AD, no single bioassay permits both rapid screening and in vivo validation of candidate drugs that target specific components of the Ca2+ regulatory machinery. To address this issue, we have integrated four distinct model systems that provide complementary information about a trial compound: the human neuroblastoma MC65 line, which provides an in vitro model of amyloid toxicity; a transgenic Drosophila model, which develops age-dependent pathologies associated with AD; the 3×TgAD transgenic mouse, which recapitulates many of the neuropathological features that typify AD; and the embryonic nervous system of Manduca, which provides a novel in vivo assay for the acute effects of amyloid peptides on neuronal motility. To demonstrate the value of this ‘translational suite’ of bioassays, we focused on a set of clinically approved dihydropyridines (DHPs), a class of well-defined inhibitors of L-type calcium channels that have been suggested to be neuroprotective in AD. Among the DHPs tested in this study, we found that isradipine reduced the neurotoxic consequences of β-amyloid accumulation in all four model systems without inducing deleterious side effects. Our results provide new evidence in support of the Ca2+ hypothesis of AD, and indicate that isradipine represents a promising drug for translation into clinical trials. In addition, these studies also demonstrate that this continuum of bioassays (representing different levels of complexity) provides an effective means of evaluating other candidate compounds that target specific components of the Ca2

  3. Database machine performance

    Energy Technology Data Exchange (ETDEWEB)

    Cesarini, F.; Salza, S.

    1987-01-01

    This book is devoted to the important problem of database machine performance evaluation. The book presents several methodological proposals and case studies, that have been developed within an international project supported by the European Economic Community on Database Machine Evaluation Techniques and Tools in the Context of the Real Time Processing. The book gives an overall view of the modeling methodologies and the evaluation strategies that can be adopted to analyze the performance of the database machine. Moreover, it includes interesting case studies and an extensive bibliography.

  4. Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues

    Directory of Open Access Journals (Sweden)

    Liu Hongfang

    2006-07-01

    Full Text Available Abstract Background Word sense disambiguation (WSD is critical in the biomedical domain for improving the precision of natural language processing (NLP, text mining, and information retrieval systems because ambiguous words negatively impact accurate access to literature containing biomolecular entities, such as genes, proteins, cells, diseases, and other important entities. Automated techniques have been developed that address the WSD problem for a number of text processing situations, but the problem is still a challenging one. Supervised WSD machine learning (ML methods have been applied in the biomedical domain and have shown promising results, but the results typically incorporate a number of confounding factors, and it is problematic to truly understand the effectiveness and generalizability of the methods because these factors interact with each other and affect the final results. Thus, there is a need to explicitly address the factors and to systematically quantify their effects on performance. Results Experiments were designed to measure the effect of "sample size" (i.e. size of the datasets, "sense distribution" (i.e. the distribution of the different meanings of the ambiguous word and "degree of difficulty" (i.e. the measure of the distances between the meanings of the senses of an ambiguous word on the performance of WSD classifiers. Support Vector Machine (SVM classifiers were applied to an automatically generated data set containing four ambiguous biomedical abbreviations: BPD, BSA, PCA, and RSV, which were chosen because of varying degrees of differences in their respective senses. Results showed that: 1 increasing the sample size generally reduced the error rate, but this was limited mainly to well-separated senses (i.e. cases where the distances between the senses were large; in difficult cases an unusually large increase in sample size was needed to increase performance slightly, which was impractical, 2 the sense distribution

  5. South African sign language assistive translation

    CSIR Research Space (South Africa)

    Olivrin, GJ

    2008-04-01

    Full Text Available The authors describe a novel approach and practical solution to an interactive sign language machine translation system from English to South African Sign Language. They interface the system with the GNApp application, which is an augmentative...

  6. Comparing Intrinsic and Extrinsic Evaluation of MT Output in a Dialogue System.

    NARCIS (Netherlands)

    van der Sluis, Ielka; Luz, S.; Schneider, A.

    2010-01-01

    We present an exploratory study to assess machine translation output for application in a dialogue system using an intrinsic and an extrinsic evaluation method. For the intrinsic evaluation we developed an annotation scheme to determine the quality of the translated utterances in isolation. For the

  7. Spaceborne Remote Sensing of Aerosol Type: Global Distribution, Model Evaluation and Translation into Chemical Speciation

    Science.gov (United States)

    Kacenelenbogen, M. S.; Tan, Q.; Johnson, M. S.; Burton, S. P.; Redemann, J.; Hasekamp, O. P.; Dawson, K. W.; Hair, J. W.; Ferrare, R. A.; Butler, C. F.; Holben, B. N.; Beyersdorf, A. J.; Ziemba, L. D.; Froyd, K. D.; Dibb, J. E.; Shingler, T.; Sorooshian, A.; Jimenez, J. L.; Campuzano Jost, P.; Jacob, D.; Kim, P. S.; Travis, K.; Lacagnina, C.

    2016-12-01

    It is essential to evaluate and refine aerosol classification methods applied to passive satellite remote sensing. We have developed an aerosol classification algorithm (called Specified Clustering and Mahalanobis Classification, SCMC) that assigns an aerosol type to multi-parameter retrievals by spaceborne, airborne or ground-based passive remote sensing instruments [1]. The aerosol types identified by our scheme are pure dust, polluted dust, urban-industrial/developed economy, urban-industrial/developing economy, dark biomass smoke, light biomass smoke and pure marine. We apply the SCMC method to inversions from the ground-based AErosol RObotic NETwork (AERONET [2]) and retrievals from the space-borne Polarization and Directionality of Earth's Reflectances instrument (POLDER, [3]). The POLDER retrievals that we use differ from the standard POLDER retrievals [4] as they make full use of multi-angle, multispectral polarimetric data [5]. We analyze agreement in the aerosol types inferred from both AERONET and POLDER and evaluate GEOS-Chem [6] simulations over the globe. Finally, we use in-situ observations from the SEAC4RS airborne field experiment to bridge the gap between remote sensing-inferred qualitative SCMC aerosol types and their corresponding quantitative chemical speciation. We apply the SCMC method to airborne in-situ observations from the NASA Langley Aerosol Research Group Experiment (LARGE, [7]) and the Differential Aerosol Sizing and Hygroscopicity Spectrometer Probe (DASH-SP, [8]) instruments; we then relate each coarsely defined SCMC type to a sum of percentage of individual aerosol species, using in-situ observations from the Particle Analysis by Laser Mass Spectrometry (PALMS, [9]), the Soluble Acidic Gases and Aerosol (SAGA, [10]), and the High - Resolution Time - of - Flight Aerosol Mass Spectrometer (HR ToF AMS, [11]). [1] Russell P. B., et al., JGR, 119.16 (2014) [2] Holben B. N., et al., RSE, 66.1 (1998) [3] Tanré D., et al., AMT, 4.7 (2011

  8. Using Linguistic Knowledge in Statistical Machine Translation

    Science.gov (United States)

    2010-09-01

    48 2.4 Conjugation of verb ktb ’to write ’. The common verb stem for each of the two...is shared throughout the Arabic speaking region, with little local variation. It is almost always used for writing , to the exclusion of the spoken...connected to the adjacent letters. Arabic has three vowel (a, u, i). Both vowel and consonant duration are phonemic. Short vowels and consonant doubling are

  9. UNITRAN: An Interlingual Machine Translation System.

    Science.gov (United States)

    1987-12-01

    modification in the interlingual approach as embodied by CETA and Sharp. ’Grenoble Universitv, France , 1961. 4 4 English Spanish French Japanese Parameter...comer: Yo como el pan. gustar: El libro me gusta a mi. eat: I eat the bread. like: I like the book. Figure 9: There is no thematic divergence between

  10. A Survey of Statistical Machine Translation

    Science.gov (United States)

    2007-04-01

    are multilingual governments and news agencies and companies operating in the global marketplace. The internet enables them to easily publish...SMT research. Because they are the product of day-to-day 1 human activities, they are constantly growing. Multilingual governments interested in...for one language. 5 The monolingual syntax will look much like our example fragment CFG (Rules C1-C8). In order to use this monolingual syntax in an

  11. Machine translation its scope and limits

    CERN Document Server

    Wilks, Yorick

    2008-01-01

    Author won Antonio Zampolli prize for outstanding contributions to the language technology Comprehensive look at MT technology from the perspective of a participant in its history and developmentDetails the deep differences and struggles between rival groups on how best to do MTConsiders MT as a fundamental part of Artificial Intelligence and the ultimate test-bed for all computational linguistics 

  12. Dependency Structures for Statistical Machine Translation

    Science.gov (United States)

    Bach, Nguyen

    2012-01-01

    Dependency structures represent a sentence as a set of dependency relations. Normally the dependency structures from a tree connect all the words in a sentence. One of the most defining characters of dependency structures is the ability to bring long distance dependency between words to local dependency structures. Another the main attraction of…

  13. Toward Determining the Comprehensibility of Machine Translations

    Science.gov (United States)

    2012-01-01

    responses to a stimulus (Macmillan and Creelman , 1991). It has been applied in areas such as lie detection (truth/lie), inspection (ac- ceptable...1-1/(2N) (Macmil- lan and Creelman , 1991). Negative values, which usually indicate response confusion, were eliminated. The results of...Macmillan, Neil and C. Douglas Creelman . (1991). Detection theory: A User’s guide. Cambridge Univer- sity Press, pp. 10 &125. Marchant

  14. Machine on Trial

    Science.gov (United States)

    2012-06-01

    front of the Judge, how did we come to justify the ethical use of such a machine? The Judge called for a recess so that he could further educate ...commerce, where money would change hands, or for the purposes of controlling critical systems.”29 The initial group that set up the ARPANET did not... EBook of Fundamental Principals of the Metaphysic of Morals, May, 2004 [ EBook #5682 translated by Thomas Kingsmill Abbott, 12. http://manybooks.net

  15. Subtitling: Diagonal Translation.

    Science.gov (United States)

    Gottlieb, Henrik

    1994-01-01

    Discusses the effects of translating televised foreign language materials, including changes in mode and timing. Outlines the necessary skills by which successful subtitlers overcome these complexities. Suggests nine basic fields to consider when creating and evaluating interlingual subtitles. (HB)

  16. Biobankonomics: a taxonomy for evaluating the economic benefits of standardized centralized human biobanking for translational research.

    Science.gov (United States)

    Rogers, Joyce; Carolin, Todd; Vaught, Jimmie; Compton, Carolyn

    2011-01-01

    Investments in medical research and development enable the scientific progress that influences our society's body of knowledge about disease, the quality of health care, and our quality of life. Critical components of these investments include the technological and human capital factors rooted in human specimen biobanking, which can be considered foundational to driving post genomic scientific and medical research. Their importance to cancer research, information-based medicine, and quality of health care are becoming increasingly recognized by pharmaceutical companies, non profit foundations, academic researchers, and government research agencies. However, the failure to standardize tissue collection, handling, processing, and preservation so that data can be directly compared between specimen sets, as well as insufficient leveraging of the highest quality tissue samples and associated data across an array of research needs, have strained economies of scale for the biobanking field. Although existing biobanks for private research contribute economic benefits to stakeholders that can be easily substantiated, little has been published to demonstrate the positive outcomes generated from the use, application, and dissemination of their resources more broadly. Through the use of analogous examples, this article presents a rationale for how standardization and consolidation of biobanking resources would contribute to the realization of budget savings, cost avoidances, process efficiencies, and other financial impacts to both the research community and the public. A number of areas are examined, including laboratory analysis efficiencies, data modeling accuracy, infrastructure cost savings, reduced clinical trials evaluation costs, improvements in patient diagnosis, and the potential impact on industry professionalization and job creation. Areas for further study are also outlined.

  17. A cross-sectional evaluation of meditation experience on electroencephalography data by artificial neural network and support vector machine classifiers.

    Science.gov (United States)

    Lee, Yu-Hao; Hsieh, Ya-Ju; Shiah, Yung-Jong; Lin, Yu-Huei; Chen, Chiao-Yun; Tyan, Yu-Chang; GengQiu, JiaCheng; Hsu, Chung-Yao; Chen, Sharon Chia-Ju

    2017-04-01

    To quantitate the meditation experience is a subjective and complex issue because it is confounded by many factors such as emotional state, method of meditation, and personal physical condition. In this study, we propose a strategy with a cross-sectional analysis to evaluate the meditation experience with 2 artificial intelligence techniques: artificial neural network and support vector machine. Within this analysis system, 3 features of the electroencephalography alpha spectrum and variant normalizing scaling are manipulated as the evaluating variables for the detection of accuracy. Thereafter, by modulating the sliding window (the period of the analyzed data) and shifting interval of the window (the time interval to shift the analyzed data), the effect of immediate analysis for the 2 methods is compared. This analysis system is performed on 3 meditation groups, categorizing their meditation experiences in 10-year intervals from novice to junior and to senior. After an exhausted calculation and cross-validation across all variables, the high accuracy rate >98% is achievable under the criterion of 0.5-minute sliding window and 2 seconds shifting interval for both methods. In a word, the minimum analyzable data length is 0.5 minute and the minimum recognizable temporal resolution is 2 seconds in the decision of meditative classification. Our proposed classifier of the meditation experience promotes a rapid evaluation system to distinguish meditation experience and a beneficial utilization of artificial techniques for the big-data analysis.

  18. Evaluation of a high-precision gear measuring machine for helix measurement using helix and wedge artifacts

    Science.gov (United States)

    Taguchi, Tetsuya; Kondo, Yohan

    2016-08-01

    High-precision gears are required for advanced motion and power transmission. The reliability of the measured value becomes important as the gear accuracy increases, and the establishment of a traceability system is needed. Therefore, a high-precision gear measuring machine (GMM) with a smaller uncertainty is expected to improve the gear calibration uncertainty. For this purpose, we developed a prototype of a high-precision GMM that adopts a direct drive mechanism and other features. Then, the high measurement capability of the developed GMM was verified using gear artifacts. Recently, some new measurement methods using simple shapes such as spheres and planes have been proposed as standards. We have verified the tooth profile measurement using a sphere artifact and reported the results that the developed GMM had a high capability in tooth profile measurement. Therefore, we attempted to devise a new evaluation method for helix measurement using a wedge artifact (WA) whose plane was treated as the tooth flank, and the high measurement capability of the developed GMM was verified. The results will provide a part of information to fully assess measurement uncertainty as our future work. This paper describes the evaluation results of the developed GMM for helix measurement using both a helix artifact and the WA, and discusses the effectiveness of the WA as a new artifact to evaluate the GMMs.

  19. Evaluation of Metabolic Stress between Jumping at Different Cadences on the Digi-Jump Machine.

    Science.gov (United States)

    Lyons, Thomas S; Navalta, James W; Callahan, Zachary J

    The American College of Sports Medicine (ACSM) recommends that healthy adults achieve a minimum of thirty minutes of moderate intensity aerobic exercise five days per week. While cycling, walking, and jogging are commonly observed methods of achieving these recommendations, another option may be repetitive jumping. The purpose of this study was to examine the metabolic responses between repetitive jumping at a cadence of 120 jumps per minute (JPMs) vs. 100 JPMs when utilizing the Digi-Jump machine. Twenty-eight subjects completed two jumping trials, one at 120 JPMs and one at 100 JPMs. Subjects jumped until volitional exhaustion, or for a maximum of fifteen minutes. Oxygen uptake (VO2), heart rate (HR), respiratory exchange ratio (RER), and rating of perceived exertion (RPE) were assessed each minute of each exercise trial. RPE was differentiated, in that subjects reported perceived exertion of their total body, their upper-leg, and their lower leg. Results of this study indicated that there was no significant difference between the two trials for VO2, HR, or total body RPE. Differences were reported between trials for peak and average RER, with the 120 JPM trial eliciting a lower RER for both (peak: 1.08 ± .087 vs. 1.17 ± .1 p=.000; average: .99 ± .076 vs. 1.04 ± .098 p=.002), peak upper leg RPE (120: 15.29 ± 3.89 vs. 100: 16.75 ± 2.52 p=.022), and average lower leg RPE (120: 15.04 ± 2.55 vs. 100: 13.94 ± 2.02 p=.019). Also, there was a significant difference in exercise duration between the trials, with subjects able to exercise longer during the 120 JPM trial (12.4 ± 3.42 mins vs. 9.68 ± 4.31 mins p=.000). These data indicate that while the physiological stress may not be different between the two trials as indicated by VO2 and HR, the 120 JPM trial appears less strenuous as evidenced by RER values and by subjects' ability to exercise longer at that cadence.

  20. A description of a knowledge broker role implemented as part of a randomized controlled trial evaluating three knowledge translation strategies

    Directory of Open Access Journals (Sweden)

    O'Mara Linda

    2009-04-01

    Full Text Available Abstract Background A knowledge broker (KB is a popular knowledge translation and exchange (KTE strategy emerging in Canada to promote interaction between researchers and end users, as well as to develop capacity for evidence-informed decision making. A KB provides a link between research producers and end users by developing a mutual understanding of goals and cultures, collaborates with end users to identify issues and problems for which solutions are required, and facilitates the identification, access, assessment, interpretation, and translation of research evidence into local policy and practice. Knowledge-brokering can be carried out by individuals, groups and/or organizations, as well as entire countries. In each case, the KB is linked with a group of end users and focuses on promoting the integration of the best available evidence into policy and practice-related decisions. Methods A KB intervention comprised one of three KTE interventions evaluated in a randomized controlled trial. Results KB activities were classified into the following categories: initial and ongoing needs assessments; scanning the horizon; knowledge management; KTE; network development, maintenance, and facilitation; facilitation of individual capacity development in evidence informed decision making; and g facilitation of and support for organizational change. Conclusion As the KB role developed during this study, central themes that emerged as particularly important included relationship development, ongoing support, customized approaches, and opportunities for individual and organizational capacity development. The novelty of the KB role in public health provides a unique opportunity to assess the need for and reaction to the role and its associated activities. Future research should include studies to evaluate the effectiveness of KBs in different settings and among different health care professionals, and to explore the optimal preparation and training of KBs

  1. Talk, trust and time: a longitudinal study evaluating knowledge translation and exchange processes for research on violence against women

    Directory of Open Access Journals (Sweden)

    Jack Susan M

    2011-09-01

    Full Text Available Abstract Background Violence against women (VAW is a major public health problem. Translation of VAW research to policy and practice is an area that remains understudied, but provides the opportunity to examine knowledge translation and exchange (KTE processes in a complex, multi-stakeholder context. In a series of studies including two randomized trials, the McMaster University VAW Research Program studied one key research gap: evidence about the effectiveness of screening women for exposure to intimate partner violence. This project developed and evaluated KTE strategies to share research findings with policymakers, health and community service providers, and women's advocates. Methods A longitudinal cross-sectional design, applying concurrent mixed data collection methods (surveys, interviews, and focus groups, was used to evaluate the utility of specific KTE strategies, including a series of workshops and a day-long Family Violence Knowledge Exchange Forum, on research sharing, uptake, and use. Results Participants valued the opportunity to meet with researchers, provide feedback on key messages, and make personal connections with other stakeholders. A number of factors specific to the knowledge itself, stakeholders' contexts, and the nature of the knowledge gap being addressed influenced the uptake, sharing, and use of the research. The types of knowledge use changed across time, and were specifically related to both the types of decisions being made, and to stage of decision making; most reported use was conceptual or symbolic, with few examples of instrumental use. Participants did report actively sharing the research findings with their own networks. Further examination of these second-order knowledge-sharing processes is required, including development of appropriate methods and measures for its assessment. Some participants reported that they would not use the research evidence in their decision making when it contradicted professional

  2. Sustainable machining

    CERN Document Server

    2017-01-01

    This book provides an overview on current sustainable machining. Its chapters cover the concept in economic, social and environmental dimensions. It provides the reader with proper ways to handle several pollutants produced during the machining process. The book is useful on both undergraduate and postgraduate levels and it is of interest to all those working with manufacturing and machining technology.

  3. Multi-objective optimization and performance evaluation of active, semi-active and passive suspensions for forestry machines

    OpenAIRE

    Baez, Federico

    2014-01-01

    The development of forestry machines is currently heading towards new solutions that reduce their impact on the environment and in particular on the soft forest soil in which the machines operate. The terrain conditions that forestry machines encounter in their regular duties can be very rough, and if the vehicle-ground interaction is not properly controlled cumulative damage can progressively aggravate these conditions and potentially render a route or a zone impracticable, apart from causin...

  4. Revising Translations

    DEFF Research Database (Denmark)

    Rasmussen, Kirsten Wølch; Schjoldager, Anne

    2011-01-01

    out by specialised revisers, but by staff translators, who revise the work of colleagues and freelancers on an ad hoc basis. Corrections are mostly given in a peer-to-peer fashion, though the work of freelancers and inexperienced in-house translators is often revised in an authoritative (nonnegotiable......) way. Most respondents and interviewees are worried about increasing pressures on the translation market, which, combined with customers’ general lack of understanding of the translation process, mean that systematic, all-encompassing quality assurance is rarely financially viable....

  5. An Approach for Evaluating Reliability of Man-Machine System in Evolving Environment

    Institute of Scientific and Technical Information of China (English)

    Wang Wuhong; Zhang Dianye; Cao Qi

    1996-01-01

    In this paper,the technique for human error rate prediction (THERP) is first presented to discuss rationale and principal advantages and disadvantages.Then, based on operator behaviour paradigm which can describe human characteristics,an approach is formulated in a mathematical way as a means of evaluating the effect of operator erroneous actions on reliability of manmachine systems in dynamical evolving environment.

  6. Effectiveness and resolution of tests for evaluating the performance of cutting fluids in machining aerospace alloys

    DEFF Research Database (Denmark)

    De Chiffre, Leonardo; Axinte, Dragos A.

    2008-01-01

    into account the following process output measures: tool wear, cutting forces, torque, spindle power, geometrical accuracy, texture and integrity of workpiece surface. Using statistics, through calculation of the Hellinger distance, the resolution given by experimental data was evaluated and a comparison...

  7. Rage against the Machine: Evaluation Metrics in the 21st Century

    Science.gov (United States)

    Yang, Charles

    2017-01-01

    I review the classic literature in generative grammar and Marr's three-level program for cognitive science to defend the Evaluation Metric as a psychological theory of language learning. Focusing on well-established facts of language variation, change, and use, I argue that optimal statistical principles embodied in Bayesian inference models are…

  8. A pilot study evaluating the "STATSCAN" digital X-ray machine in paediatric polytrauma.

    Science.gov (United States)

    Pitcher, Richard D; van As, Arjan B; Sanders, Virginia; Douglas, Tania S; Wieselthaler, Nicole; Vlok, Ann; Paverd, Sylvia; Kilborn, Tracy; Rode, Heinz; Potgieter, Herman; Beningfield, Stephen J

    2008-01-01

    A pilot study evaluating the use in paediatric polytrauma of the STATSCAN, a low-radiation dose, fan-beam digital radiography unit (Lodox Systems, Sandton, South Africa). Over 3 months, 23 polytrauma patients treated at the Emergency Unit of the Red Cross Children's Hospital in Cape Town, South Africa, were imaged on the STATSCAN. Image quality, diagnostic equivalence and clinical efficiency were compared with a computed radiography (CR) system (Fuji FCR 5000, Fuji Photo Film, Tokyo, Japan). The STATSCAN antero-posterior bodygram correlated well technically and diagnostically with CR, showing 96% of the fractures in the cohort. It allowed superior visualisation of the trachea and main bronchi and imaging was, on average, 13% faster than CR. The STATSCAN could play an important role in paediatric polytrauma. The clinical significance of its superior demonstration of the trachea and main bronchi requires further evaluation.

  9. A pilot study evaluating erect chest imaging in children, using the Lodox Statscan digital X-ray machine

    Directory of Open Access Journals (Sweden)

    Rupesh Baloo Daya

    2009-11-01

    Full Text Available ABSTRACT Background: Chest radiography accounts for a significant proportion of ionising radiation in children. The radiation dose of radiographs performed on the Lodox Statscan system has been shown to be lower than that of a computed radiography (CR system. The role of the Lodox Statscan (hereafter referred to as the Statscan in routine erect chest radiography in children has not been evaluated. Objective: To evaluate the image quality and diagnostic accuracy of erect paediatric chest radiographs obtained with the Statscan and compare this with conventional erect chest images obtained with a CR system. Materials and Methods: Thirty three children with suspected chest pathology were enrolled randomly over a period of three months. Erect chest radiographs were obtained with the Statscan, and a Shimadzu R-20J X-ray machine coupled with a Fuji FCR 5000 CR system. Image quality and diagnostic accuracy and diagnostic capability were evaluated between the two modalities. Results: The erect Statscan allowed superior visualisation of the three major airways. Statscan images however, demonstrated exposure and movement artifacts with hemidiaphragms and ribs most prone to movement. Bronchovascular clarity was also considered unsatisfactory on the Statscan images. Conclusion: The Statscan has limitations in erect chest radiography in terms of movement artefacts, exposure fluctuations, and poor definition of lung markings. Despite this, the Statscan allows better visualisation of the major airways, equivalent to a ‘high KV’ film at a fraction of the radiation dose. This supports the finding of an earlier study evaluating Statscan images in trauma cases, where the images were taken supine. Statscan has great potential in assisting in the diagnosis of childhood tuberculosis where airway narrowing occurs as a result of nodal compression.

  10. Revising Translations

    DEFF Research Database (Denmark)

    Rasmussen, Kirsten Wølch; Schjoldager, Anne

    2011-01-01

    out by specialised revisers, but by staff translators, who revise the work of colleagues and freelancers on an ad hoc basis. Corrections are mostly given in a peer-to-peer fashion, though the work of freelancers and inexperienced in-house translators is often revised in an authoritative (nonnegotiable...

  11. Translation and cultural adaptation of the Shame and Stigma Scale (SSS) into Portuguese (Brazil) to evaluate patients with head and neck cancer.

    Science.gov (United States)

    Pirola, William Eduardo; Paiva, Bianca Sakamoto Ribeiro; Barroso, Eliane Marçon; Kissane, David W; Serrano, Claudia Valéria Maseti Pimenta; Paiva, Carlos Eduardo

    2016-11-09

    Head and Neck Cancer (HNC) is the sixth leading cause of death from cancer worldwide and its treatment may involve surgery, chemotherapy and/or radiation therapy. The surgical procedure may cause mutilating sequelae, that can alter patient self-image. Thus, HNC is often connected to the negative stigma with decreased quality of life. Few studies assess the social stigma and shame perceived by patients with HNC. To perform the translation and cultural adaptation of the Shame and Stigma Scale (SSS) into Portuguese (Brazil). Two independent translations (English into Portuguese) were carried out by two professionals fluent in the English language. After the synthesis of the translations, two independent back-translations (from Portuguese into English) were performed by two translators whose native language is English. All translations were critically assessed by a committee of experts consisting of five members. A sample of 15 patients answered the Brazilian Portuguese version of the SSS to carry out the pretest. At this step, the patients were able to suggest modifications and evaluate the understanding of the items. There was no need to change the scale after this step. Based on the previous steps, we obtained the Portuguese (Brazil) version of the SSS, which was called "Escala de Vergonha e Estigma". The Portuguese (Brazil) version of the SSP was shown to be adequate to be applied to the population with HNC and, therefore, the psychometric properties of the tool will be evaluated during following steps. Copyright © 2016 Associação Brasileira de Otorrinolaringologia e Cirurgia Cérvico-Facial. Published by Elsevier Editora Ltda. All rights reserved.

  12. Man-machine interface system for neuromuscular training and evaluation based on EMG and MMG signals.

    Science.gov (United States)

    de la Rosa, Ramon; Alonso, Alonso; Carrera, Albano; Durán, Ramon; Fernández, Patricia

    2010-01-01

    This paper presents the UVa-NTS (University of Valladolid Neuromuscular Training System), a multifunction and portable Neuromuscular Training System. The UVa-NTS is designed to analyze the voluntary control of severe neuromotor handicapped patients, their interactive response, and their adaptation to neuromuscular interface systems, such as neural prostheses or domotic applications. Thus, it is an excellent tool to evaluate the residual muscle capabilities in the handicapped. The UVa-NTS is composed of a custom signal conditioning front-end and a computer. The front-end electronics is described thoroughly as well as the overall features of the custom software implementation. The software system is composed of a set of graphical training tools and a processing core. The UVa-NTS works with two classes of neuromuscular signals: the classic myoelectric signals (MES) and, as a novelty, the myomechanic signals (MMS). In order to evaluate the performance of the processing core, a complete analysis has been done to classify its efficiency and to check that it fulfils with the real-time constraints. Tests were performed both with healthy and selected impaired subjects. The adaptation was achieved rapidly, applying a predefined protocol for the UVa-NTS set of training tools. Fine voluntary control was demonstrated to be reached with the myoelectric signals. And the UVa-NTS demonstrated to provide a satisfactory voluntary control when applying the myomechanic signals.

  13. Man-Machine Interface System for Neuromuscular Training and Evaluation Based on EMG and MMG Signals

    Directory of Open Access Journals (Sweden)

    Patricia Fernández

    2010-12-01

    Full Text Available This paper presents the UVa-NTS (University of Valladolid Neuromuscular Training System, a multifunction and portable Neuromuscular Training System. The UVa-NTS is designed to analyze the voluntary control of severe neuromotor handicapped patients, their interactive response, and their adaptation to neuromuscular interface systems, such as neural prostheses or domotic applications. Thus, it is an excellent tool to evaluate the residual muscle capabilities in the handicapped. The UVa-NTS is composed of a custom signal conditioning front-end and a computer. The front-end electronics is described thoroughly as well as the overall features of the custom software implementation. The software system is composed of a set of graphical training tools and a processing core. The UVa-NTS works with two classes of neuromuscular signals: the classic myoelectric signals (MES and, as a novelty, the myomechanic signals (MMS. In order to evaluate the performance of the processing core, a complete analysis has been done to classify its efficiency and to check that it fulfils with the real-time constraints. Tests were performed both with healthy and selected impaired subjects. The adaptation was achieved rapidly, applying a predefined protocol for the UVa-NTS set of training tools. Fine voluntary control was demonstrated to be reached with the myoelectric signals. And the UVa-NTS demonstrated to provide a satisfactory voluntary control when applying the myomechanic signals.

  14. LHC Report: machine development

    CERN Multimedia

    Rogelio Tomás García for the LHC team

    2015-01-01

    Machine development weeks are carefully planned in the LHC operation schedule to optimise and further study the performance of the machine. The first machine development session of Run 2 ended on Saturday, 25 July. Despite various hiccoughs, it allowed the operators to make great strides towards improving the long-term performance of the LHC.   The main goals of this first machine development (MD) week were to determine the minimum beam-spot size at the interaction points given existing optics and collimation constraints; to test new beam instrumentation; to evaluate the effectiveness of performing part of the beam-squeezing process during the energy ramp; and to explore the limits on the number of protons per bunch arising from the electromagnetic interactions with the accelerator environment and the other beam. Unfortunately, a series of events reduced the machine availability for studies to about 50%. The most critical issue was the recurrent trip of a sextupolar corrector circuit –...

  15. Introduction to machine learning.

    Science.gov (United States)

    Baştanlar, Yalin; Ozuysal, Mustafa

    2014-01-01

    The machine learning field, which can be briefly defined as enabling computers make successful predictions using past experiences, has exhibited an impressive development recently with the help of the rapid increase in the storage capacity and processing power of computers. Together with many other disciplines, machine learning methods have been widely employed in bioinformatics. The difficulties and cost of biological analyses have led to the development of sophisticated machine learning approaches for this application area. In this chapter, we first review the fundamental concepts of machine learning such as feature assessment, unsupervised versus supervised learning and types of classification. Then, we point out the main issues of designing machine learning experiments and their performance evaluation. Finally, we introduce some supervised learning methods.

  16. New version of the Pediatric Evaluation of Disability Inventory (PEDI-CAT: translation, cultural adaptation to Brazil and analyses of psychometric properties

    Directory of Open Access Journals (Sweden)

    Marisa C. Mancini

    2016-01-01

    Full Text Available ABSTRACT Background The Pediatric Evaluation of Disability Inventory-Computer Adaptive Test (PEDI-CAT, developed with innovative measurement methodologies, evaluates functioning of children and youth, from 0 to 21 years, with different health conditions. It is a revision of an earlier instrument (PEDI that has been used in national and international clinical practice and research. It was felt to be necessary to make this new version (PEDI-CAT available in Brazil. Objectives Translate and culturally adapt the PEDI-CAT to the Brazilian-Portuguese language and test its psychometric properties. Method This methodological study was developed through the following stages: (1 translation, (2 synthesis, (3 back-translation, (4 revision by an expert committee, (5 testing of the pre-final version, and (6 evaluation of the psychometric properties. The 276 translated PEDI-CAT items were divided into three age groups (0-7, 8-14, and 15-21 years. Results The PEDI-CAT translation followed all six stages. The adaptations incorporated cultural and socioeconomic class specificities. The PEDI-CAT/Brazil showed good indices of inter-examiner (intraclass correlation coefficient-ICC=0.83-0.89 and test-retest (ICC=0.96-0.97 reliability, good internal consistency (0.99 and small standard error of measurement in all three age groups (0.12-0.17. Factor analyses grouped the items from the three functional skills domains into one factor, and items from the responsibility scale into three factors, supporting the adequacy of these factor solutions to the conceptual structure of the instrument and the developmental model. Conclusion The PEDI-CAT/Brazil is a theoretically consistent, culturally appropriate, and reliable instrument. Its availability in Brazil will contribute to the evaluation and measurement of functional outcomes from clinical interventions, longitudinal follow-up, and rehabilitation research.

  17. Evaluation of Eco-efficiency and Effect on Environment of Remanufacturing—— A Case Study of CNC-remanufacturing for Used Machining Tools

    Institute of Scientific and Technical Information of China (English)

    HU Zhong-xiang; SHI Xiao-jun; SHI Lei

    2005-01-01

    A case of remanufacturing used lathes via CNC technology is introduced, whose environmental and economic benefits are evaluated respectively. The results indicate that these environmental and economic benefits are remarkable, which are directly affected by remanufacturing design, more than 90% materials in used lathes are reused. Finally, the causes of economic and environmental benefits of remanufacturing machine tools are put forward. The remanufacturing design method, implementation procedure, and evaluation method of economic and environmental benefits presented are helpful for other equipment remanufacturing.

  18. Evaluation of the truebeam machine performance check (MPC) geometric checks for daily IGRT geometric accuracy quality assurance.

    Science.gov (United States)

    Barnes, Michael P; Greer, Peter B

    2017-05-01

    Machine Performance Check (MPC) is an automated and integrated image-based tool for verification of beam and geometric performance of the TrueBeam linac. The aims of the study were to evaluate the performance of the MPC geometric tests relevant to OBI/CBCT IGRT geometric accuracy. This included evaluation of the MPC isocenter and couch tests. Evaluation was performed by comparing MPC to QA tests performed routinely in the department over a 4-month period. The MPC isocenter tests were compared against an in-house developed Winston-Lutz test and the couch compared against routine mechanical QA type procedures. In all cases the results from the routine QA procedure was presented in a form directly comparable to MPC to allow a like-to-like comparison. The sensitivity of MPC was also tested by deliberately miscalibrating the appropriate linac parameter. The MPC isocenter size and MPC kV imager offset were found to agree with Winston-Lutz to within 0.2 mm and 0.22 mm, respectively. The MPC couch tests agreed with routine QA to within 0.12 mm and 0.15°. The MPC isocenter size and kV imager offset parameters were found to be affected by a change in beam focal spot position with the kV imager offset more sensitive. The MPC couch tests were all unaffected by an offset in the couch calibration but the three axes that utilized two point calibrations were sensitive to a miscalibration of the size in the span of the calibration. All MPC tests were unaffected by a deliberate misalignment of the MPC phantom and roll of the order of one degree. © 2017 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.

  19. Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach

    Science.gov (United States)

    Rish, Irina; Bashivan, Pouya; Cecchi, Guillermo A.; Goldstein, Rita Z.

    2016-03-01

    The objective of this study is to investigate effects of methylphenidate on brain activity in individuals with cocaine use disorder (CUD) using functional MRI (fMRI). Methylphenidate hydrochloride (MPH) is an indirect dopamine agonist commonly used for treating attention deficit/hyperactivity disorders; it was also shown to have some positive effects on CUD subjects, such as improved stop signal reaction times associated with better control/inhibition,1 as well as normalized task-related brain activity2 and resting-state functional connectivity in specific areas.3 While prior fMRI studies of MPH in CUDs have focused on mass-univariate statistical hypothesis testing, this paper evaluates multivariate, whole-brain effects of MPH as captured by the generalization (prediction) accuracy of different classification techniques applied to features extracted from resting-state functional networks (e.g., node degrees). Our multivariate predictive results based on resting-state data from3 suggest that MPH tends to normalize network properties such as voxel degrees in CUD subjects, thus providing additional evidence for potential benefits of MPH in treating cocaine addiction.

  20. Evaluation of Fatigue Behavior and Surface Characteristics of Aluminum Alloy 2024 T6 After Electric Discharge Machining

    Science.gov (United States)

    Mehmood, Shahid; Shah, Masood; Pasha, Riffat Asim; Sultan, Amir

    2017-09-01

    The effect of electric discharge machining (EDM) on surface quality and consequently on the fatigue performance of Al 2024 T6 is investigated. Five levels of discharge current are analyzed, while all other electrical and nonelectrical parameters are kept constant. At each discharge current level, dog-bone specimens are machined by generating a peripheral notch at the center. The fatigue tests are performed on four-point rotating bending machine at room temperature. For comparison purposes, fatigue tests are also performed on the conventionally machined specimens. Linearized SN curves for 95% failure probability and with four different confidence levels (75, 90, 95 and 99%) are plotted for each discharge current level as well as for conventionally machined specimens. These plots show that the electric discharge machined (EDMed) specimens give inferior fatigue behavior as compared to conventionally machined specimen. Moreover, discharge current inversely affects the fatigue life, and this influence is highly pronounced at lower stresses. The EDMed surfaces are characterized by surface properties that could be responsible for change in fatigue life such as surface morphology, surface roughness, white layer thickness, microhardness and residual stresses. It is found that all these surface properties are affected by changing discharge current level. However, change in fatigue life by discharge current could not be associated independently to any single surface property.

  1. Human Factors Evaluation of Man-Machine Interface for Periodic Safety Review of Yonggwang Unit no. 1, 2

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Yong Hee; Lee, Jung Woon; Park, Jae Chang (and others)

    2006-01-15

    This report describes the research results of human factors assessment on the MMI(Man Machine Interface) equipment as part of Periodic Safety Review(PSR) of Yonggwang Unit no. 1, 2. As MMI is a key factor among human factors to be reviewed in PSR, we reviewed the MMI components of nuclear power plants in aspect of human factors engineering. The availability, suitability, and effectiveness of the MMI devices were chosen to be reviewed. The MMI devices were investigated through the review of design documents related to the MMI, survey of control panels, evaluation of experts, and experimental assessment. Checklists were used to perform this assessment and record the review results. The items mentioned by the expert comments to review in detail in relation with task procedures were tested by experiments with operators' participation. For some questionable issues arisen during this MMI review, operator workload and possibility of errors in operator actions were analysed. The reviewed MMI devices contain MCR(Main Control Room), SPDS(Safety Parameter Display System), RSP(Remote Shutdown Panel), and the selected LCBs(Local Control Boards) importantly related to safety. As results of the assessments, any significant problem challenging the safety was not found on human factors in the MMI devices. However, several small items to be changed and improved in suitability of MMI devices were discovered. An action plan is recommended to accommodate the suggestions and review comments. It will enhance the plant safety on MMI area.

  2. Binary translation using peephole translation rules

    Science.gov (United States)

    Bansal, Sorav; Aiken, Alex

    2010-05-04

    An efficient binary translator uses peephole translation rules to directly translate executable code from one instruction set to another. In a preferred embodiment, the translation rules are generated using superoptimization techniques that enable the translator to automatically learn translation rules for translating code from the source to target instruction set architecture.

  3. Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps).

    Science.gov (United States)

    Liu, Zhichao; Shi, Qiang; Ding, Don; Kelly, Reagan; Fang, Hong; Tong, Weida

    2011-12-01

    Drug-induced liver injury (DILI) is a significant concern in drug development due to the poor concordance between preclinical and clinical findings of liver toxicity. We hypothesized that the DILI types (hepatotoxic side effects) seen in the clinic can be translated into the development of predictive in silico models for use in the drug discovery phase. We identified 13 hepatotoxic side effects with high accuracy for classifying marketed drugs for their DILI potential. We then developed in silico predictive models for each of these 13 side effects, which were further combined to construct a DILI prediction system (DILIps). The DILIps yielded 60-70% prediction accuracy for three independent validation sets. To enhance the confidence for identification of drugs that cause severe DILI in humans, the "Rule of Three" was developed in DILIps by using a consensus strategy based on 13 models. This gave high positive predictive value (91%) when applied to an external dataset containing 206 drugs from three independent literature datasets. Using the DILIps, we screened all the drugs in DrugBank and investigated their DILI potential in terms of protein targets and therapeutic categories through network modeling. We demonstrated that two therapeutic categories, anti-infectives for systemic use and musculoskeletal system drugs, were enriched for DILI, which is consistent with current knowledge. We also identified protein targets and pathways that are related to drugs that cause DILI by using pathway analysis and co-occurrence text mining. While marketed drugs were the focus of this study, the DILIps has a potential as an evaluation tool to screen and prioritize new drug candidates or chemicals, such as environmental chemicals, to avoid those that might cause liver toxicity. We expect that the methodology can be also applied to other drug safety endpoints, such as renal or cardiovascular toxicity.

  4. Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps.

    Directory of Open Access Journals (Sweden)

    Zhichao Liu

    2011-12-01

    Full Text Available Drug-induced liver injury (DILI is a significant concern in drug development due to the poor concordance between preclinical and clinical findings of liver toxicity. We hypothesized that the DILI types (hepatotoxic side effects seen in the clinic can be translated into the development of predictive in silico models for use in the drug discovery phase. We identified 13 hepatotoxic side effects with high accuracy for classifying marketed drugs for their DILI potential. We then developed in silico predictive models for each of these 13 side effects, which were further combined to construct a DILI prediction system (DILIps. The DILIps yielded 60-70% prediction accuracy for three independent validation sets. To enhance the confidence for identification of drugs that cause severe DILI in humans, the "Rule of Three" was developed in DILIps by using a consensus strategy based on 13 models. This gave high positive predictive value (91% when applied to an external dataset containing 206 drugs from three independent literature datasets. Using the DILIps, we screened all the drugs in DrugBank and investigated their DILI potential in terms of protein targets and therapeutic categories through network modeling. We demonstrated that two therapeutic categories, anti-infectives for systemic use and musculoskeletal system drugs, were enriched for DILI, which is consistent with current knowledge. We also identified protein targets and pathways that are related to drugs that cause DILI by using pathway analysis and co-occurrence text mining. While marketed drugs were the focus of this study, the DILIps has a potential as an evaluation tool to screen and prioritize new drug candidates or chemicals, such as environmental chemicals, to avoid those that might cause liver toxicity. We expect that the methodology can be also applied to other drug safety endpoints, such as renal or cardiovascular toxicity.

  5. Evaluation of the tissue reaction to a new bilayered collagen matrix in vivo and its translation to the clinic

    Energy Technology Data Exchange (ETDEWEB)

    Ghanaati, Shahram; Barbeck, Mike; Kirkpatrick, C James [REPAIR-Lab, Institute of Pathology, Johannes Gutenberg University, Mainz (Germany); Schlee, Markus [Bayreuther Strasse 39, D-91301, Forchheim (Germany); Webber, Matthew J [Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208 (United States); Willershausen, Ines [Institute for Dental Material Sciences and Technology, University Medical Center of the Johannes Gutenberg University, Mainz (Germany); Balic, Ela; Goerlach, Christoph [Geistlich Pharma AG, Wolhusen (Switzerland); Stupp, Samuel I [Department of Materials Science and Engineering, Chemistry, and Medicine, Northwestern University, Evanston, IL 60208 (United States); Sader, Robert A, E-mail: ghanaati@uni-mainz.de [Clinic for Maxillofacial and Plastic Surgery, Johann Wolfgang Goethe University, Frankfurt Am Main (Germany)

    2011-02-15

    This study evaluates a new collagen matrix that is designed with a bilayered structure in order to promote guided tissue regeneration and integration within the host tissue. This material induced a mild tissue reaction when assessed in a murine model and was well integrated within the host tissue, persisting in the implantation bed throughout the in vivo study. A more porous layer was rapidly infiltrated by host mesenchymal cells, while a layer designed to be a barrier allowed cell attachment and host tissue integration, but at the same time remained impermeable to invading cells for the first 30 days of the study. The tissue reaction was favorable, and unlike a typical foreign body response, did not include the presence of multinucleated giant cells, lymphocytes, or granulation tissue. In the context of translation, we show preliminary results from the clinical use of this biomaterial applied to soft tissue regeneration in the treatment of gingival tissue recession and exposed roots of human teeth. Such a condition would greatly benefit from guided tissue regeneration strategies. Our findings demonstrate that this material successfully promoted the ingrowth of gingival tissue and reversed gingival tissue recession. Of particular importance is the fact that the histological evidence from these human studies corroborates our findings in the murine model, with the barrier layer preventing unspecific tissue ingrowth, as the scaffold becomes infiltrated by mesenchymal cells from adjacent tissue into the porous layer. Also in the clinical situation no multinucleated giant cells, no granulation tissue and no evidence of a marked inflammatory response were observed. In conclusion, this bilayered matrix elicits a favorable tissue reaction, demonstrates potential as a barrier for preferential tissue ingrowth, and achieves a desirable therapeutic result when applied in humans for soft tissue regeneration.

  6. Simple machines

    CERN Document Server

    Graybill, George

    2007-01-01

    Just how simple are simple machines? With our ready-to-use resource, they are simple to teach and easy to learn! Chocked full of information and activities, we begin with a look at force, motion and work, and examples of simple machines in daily life are given. With this background, we move on to different kinds of simple machines including: Levers, Inclined Planes, Wedges, Screws, Pulleys, and Wheels and Axles. An exploration of some compound machines follows, such as the can opener. Our resource is a real time-saver as all the reading passages, student activities are provided. Presented in s

  7. Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives.

    Science.gov (United States)

    Gobbel, Glenn T; Reeves, Ruth; Jayaramaraja, Shrimalini; Giuse, Dario; Speroff, Theodore; Brown, Steven H; Elkin, Peter L; Matheny, Michael E

    2014-04-01

    Rapid, automated determination of the mapping of free text phrases to pre-defined concepts could assist in the annotation of clinical notes and increase the speed of natural language processing systems. The aim of this study was to design and evaluate a token-order-specific naïve Bayes-based machine learning system (RapTAT) to predict associations between phrases and concepts. Performance was assessed using a reference standard generated from 2860 VA discharge summaries containing 567,520 phrases that had been mapped to 12,056 distinct Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) concepts by the MCVS natural language processing system. It was also assessed on the manually annotated, 2010 i2b2 challenge data. Performance was established with regard to precision, recall, and F-measure for each of the concepts within the VA documents using bootstrapping. Within that corpus, concepts identified by MCVS were broadly distributed throughout SNOMED CT, and the token-order-specific language model achieved better performance based on precision, recall, and F-measure (0.95±0.15, 0.96±0.16, and 0.95±0.16, respectively; mean±SD) than the bag-of-words based, naïve Bayes model (0.64±0.45, 0.61±0.46, and 0.60±0.45, respectively) that has previously been used for concept mapping. Precision, recall, and F-measure on the i2b2 test set were 92.9%, 85.9%, and 89.2% respectively, using the token-order-specific model. RapTAT required just 7.2ms to map all phrases within a single discharge summary, and mapping rate did not decrease as the number of processed documents increased. The high performance attained by the tool in terms of both accuracy and speed was encouraging, and the mapping rate should be sufficient to support near-real-time, interactive annotation of medical narratives. These results demonstrate the feasibility of rapidly and accurately mapping phrases to a wide range of medical concepts based on a token-order-specific naïve Bayes model and

  8. Evaluation of the efficiency and effectiveness of independent dose calculation followed by machine log file analysis against conventional measurement based IMRT QA.

    Science.gov (United States)

    Sun, Baozhou; Rangaraj, Dharanipathy; Boddu, Sunita; Goddu, Murty; Yang, Deshan; Palaniswaamy, Geethpriya; Yaddanapudi, Sridhar; Wooten, Omar; Mutic, Sasa

    2012-09-06

    Experimental methods are commonly used for patient-specific IMRT delivery verification. There are a variety of IMRT QA techniques which have been proposed and clinically used with a common understanding that not one single method can detect all possible errors. The aim of this work was to compare the efficiency and effectiveness of independent dose calculation followed by machine log file analysis to conventional measurement-based methods in detecting errors in IMRT delivery. Sixteen IMRT treatment plans (5 head-and-neck, 3 rectum, 3 breast, and 5 prostate plans) created with a commercial treatment planning system (TPS) were recalculated on a QA phantom. All treatment plans underwent ion chamber (IC) and 2D diode array measurements. The same set of plans was also recomputed with another commercial treatment planning system and the two sets of calculations were compared. The deviations between dosimetric measurements and independent dose calculation were evaluated. The comparisons included evaluations of DVHs and point doses calculated by the two TPS systems. Machine log files were captured during pretreatment composite point dose measurements and analyzed to verify data transfer and performance of the delivery machine. Average deviation between IC measurements and point dose calculations with the two TPSs for head-and-neck plans were 1.2 ± 1.3% and 1.4 ± 1.6%, respectively. For 2D diode array measurements, the mean gamma value with 3% dose difference and 3 mm distance-to-agreement was within 1.5% for 13 of 16 plans. The mean 3D dose differences calculated from two TPSs were within 3% for head-and-neck cases and within 2% for other plans. The machine log file analysis showed that the gantry angle, jaw position, collimator angle, and MUs were consistent as planned, and maximal MLC position error was less than 0.5 mm. The independent dose calculation followed by the machine log analysis takes an average 47 ± 6 minutes, while the experimental approach (using IC and

  9. Evaluation of Multi Canister Overpack (MCO) Handling Machine Uplift Restraint for a Seismic Event During Repositioning Operations

    Energy Technology Data Exchange (ETDEWEB)

    SWENSON, C.E.

    2000-05-15

    Insertion of the Multi-Canister Overpack (MCO) assemblies into the Canister Storage Building (CSB) storage tubes involves the use of the MCO Handling Machine (MHM). During MCO storage tube insertion operations, inadvertent movement of the MHM is prevented by engaging seismic restraints (''active restraints'') located adjacent to both the bridge and trolley wheels. During MHM repositioning operations, the active restraints are not engaged. When the active seismic restraints are not engaged, the only functioning seismic restraints are non-engageable (''passive'') wheel uplift restraints which function only if the wheel uplift is sufficient to close the nominal 0.5-inch gap at the uplift restraint interface. The MHM was designed and analyzed in accordance with ASME NOG-1-1995. The ALSTHOM seismic analysis reported seismic loads on the MHM uplift restraints and EDERER performed corresponding structural calculations to demonstrate structural adequacy of the seismic uplift restraint hardware. The ALSTHOM and EDERER calculations were performed for a parked MHM with the active seismic restraints engaged, resulting in uplift restraint loading only in the vertical direction. In support of development of the CSB Safety Analysis Report (SAR), an evaluation of the MHM seismic response was requested for the case where the active seismic restraints are not engaged. If a seismic event occurs during MHM repositioning operations, a moving contact at a seismic uplift restraint would introduce a friction load on the restraint in the direction of the movement. These potential horizontal friction loads on the uplift restraints were not included in the existing restraint hardware design calculations. One of the purposes of the current evaluation is to address the structural adequacy of the MHM seismic uplift restraints with the addition of the horizontal friction associated with MHM repositioning movements.

  10. A multi-faceted knowledge translation approach to support persons with stroke and cognitive impairment: evaluation protocol.

    Science.gov (United States)

    McEwen, Sara E; Donald, Michelle; Dawson, Deirdre; Egan, Mary Y; Hunt, Anne; Quant, Sylvia; Runions, Sharron; Linkewich, Elizabeth

    2015-11-05

    Patients with cognitive impairments following a stroke are often denied access to inpatient rehabilitation. The few patients with cognitive impairment admitted to rehabilitation generally receive services based on outdated impairment-reduction models, rather than recommended function-based approaches. Both reduced access to rehabilitation and the knowledge-to-practice gap stem from a reported lack of skills and knowledge regarding cognitive rehabilitation on the part of inpatient rehabilitation team members. To address these issues, a multi-faceted knowledge translation (KT) initiative will be implemented and evaluated. It will be targeted specifically at the inter-professional application of the cognitive orientation to daily occupational performance (CO-OP). CO-OP training combined with KT support is called CO-OP KT. The long-term objective of CO-OP KT is to optimize functional outcomes for individuals with stroke and cognitive impairments. Three research questions are posed: 1. Is the implementation of CO-OP KT associated with a change in the proportion of patients with cognitive impairment following a stroke accepted to inpatient rehabilitation? 2. Is the implementation of CO-OP KT associated with a change in rehabilitation clinicians' practice, knowledge, and self-efficacy related to implementing the CO-OP approach, immediately following and 1 year later? 3. Is CO-OP KT associated with changes in activity, participation, and self-efficacy to perform daily activities in patients with cognitive impairment following stroke at discharge from inpatient rehabilitation and at 1-, 3-, and 6-month follow-ups? Three interrelated studies will be conducted. Study 1 will be a quasi-experimental, interrupted time series design measuring monthly summaries of stroke unit level data. Study 2, which relates to changes in health care professional practice and self-efficacy, will be a single group pre-post evaluation design incorporating chart audits and a self-report survey

  11. Two assessments to evaluate imagery ability: translation, test-retest reliability and concurrent validity of the German KVIQ and Imaprax

    Directory of Open Access Journals (Sweden)

    Schuster Corina

    2012-08-01

    Full Text Available Abstract Background A combination of physical practice and motor imagery (MI can improve motor function. It is essential to assess MI vividness in patients with sensorimotor impairments before implementing MI interventions. The study's aims were to translate the Canadian Kinaesthetic and Visual Imagery Questionnaire (KVIQ and the French Imaprax, and to examine reliability and validity of the German versions. Methods Questionnaires were translated according to guidelines. With examiner’s help patients (diagnosis: stroke: subacute/chronic, brain tumour, Multiple Sclerosis, Parkinson’s disease were tested twice within seven days (T0, T1. KVIQ-G: Patients were shown a movement by the examiner, before executing and imagining the movement. They rated vividness of the image and intensity of the sensations on a five-point Likert-scale. Imaprax required a 3-step procedure: imagination of one of six gestures; evaluation of gesture understanding, vividness, and imagery perspective. Questionnaire data were analysed overall and for each group. Reliability parameters were calculated: intraclass correlation coefficient (ICC, Cronbach's alpha, standard error of measurement, minimal detectable change. Validity parameters included Spearman's rank correlation coefficient and factor analysis of the KVIQ-G-20. Results Patients (N = 73, 28 females, age: 63 ± 13 showed the following at T0: KVIQ-G-20vis 41.7 ± 9, KVIQ-G-10vis 21.1 ± 5. ICC for KVIQ-G-20vis and KVIQ-G-10vis was 0.77; KVIQ-G-20kin 36.4 ± 12, KVIQ-G-10kin 18.3 ± 6. ICCs for KVIQ-G-20kin and KVIQ-G-10kin were 0.83/0.85; Imapraxvis 32.7 ± 4 and ICC 0.51. Internal consistency was estimated for KVIQ-G-20 αvis = 0.94/αkin = 0.92, KVIQ-G-10 αvis = 0.88/αkin = 0.96, Imaprax-G αvis = 0.70. Validity testing was performed with 19 of 73 patients, who chose an internal perspective: rs = 0.36 (p = 0.13. Factor analysis revealed two factors

  12. Evaluation of a New Thermal Fog Machine for Control of Adult Aedes albopictus in a Large Enclosed Space.

    Science.gov (United States)

    Gibson, Jennifer; Smith, Michael L; Xue, Rui-De; Ren, Dong-Sheng

    2016-06-01

    Testing of the PSO BASDKA-AC1200 multifunction ultrafine particle atomization machine, a thermal fog machine, with Aqualuer 20-20(®) (permethrin 20.6%, piperonyl butoxide 20.6%) was conducted against Aedes albopictus. The machine was set at a 40 sec maximum burst interval dispersing 36 ml of chemical with an average droplet volume of 50%. Female adult Ae. albopictus were placed into cylindrical paper cages and adhered to poles at 5, 8, 10, 15, and 25 m from the center point of the machine. Control cages consisted of 1 cage placed at 5, 10, and 25 m. Control and treatment groups were left in the experiment area for 15 min. Initial knockdown after 15 min and 24 h mortality were documented. At 15 min post-treatment, Ae. albopictus displayed less than 50% knockdown. After 24 h, all treatment cages displayed greater than 90% mortality. Further bottle bioassays were conducted to determine the lowest chemical dose possible to achieve a lethal dose of 90%. A 1% dilution (10 ml Aqualuer 20-20 to 1,000 ml of polyether) of Aqualuer showed high mortality in the laboratory. However, after running 3 repetitions of a 1% dilution, there was no significant difference between the mortality of the mosquitoes at any of the distances 24 h post-treatment. This study indicates that the test machine would be an applicable and suitable machine for control of Ae. albopictus in enclosed spaces.

  13. Electric machine

    Science.gov (United States)

    El-Refaie, Ayman Mohamed Fawzi [Niskayuna, NY; Reddy, Patel Bhageerath [Madison, WI

    2012-07-17

    An interior permanent magnet electric machine is disclosed. The interior permanent magnet electric machine comprises a rotor comprising a plurality of radially placed magnets each having a proximal end and a distal end, wherein each magnet comprises a plurality of magnetic segments and at least one magnetic segment towards the distal end comprises a high resistivity magnetic material.

  14. Promoting awareness of key resources for evidence-informed decision making in public health: An evaluation of a webinar series about knowledge translation methods and tools

    Directory of Open Access Journals (Sweden)

    Jennifer eYost

    2016-04-01

    Full Text Available The National Collaborating Centre for Methods and Tools (NCCMT has developed several resources to support evidence-informed decision making – the process of distilling and disseminating best available evidence from research, context and experience – and knowledge translation – applying best evidence in practice. One such resource, the Registry of Methods and Tools, is a free, online database of 195 methods and tools to support knowledge translation. Building on the identification of webinars as a strategy to improve the dissemination of information, NCCMT launched the Spotlight on Knowledge Translation Methods and Tools webinar series in 2012 to promote awareness and use of the Registry. To inform continued implementation of this webinar series, NCCMT conducted an evaluation of the series potential to improve awareness and use of the methods/tools within the Registry, as well as identify areas for improvement and what worked. For this evaluation, the following data was analyzed: electronic follow-up surveys administered immediately following each webinar; an additional electronic survey administered 6-months after two webinars; and Google Analytics for each webinar. As of November, 2015, there have been 22 webinars conducted, reaching 2,048 people in multiple sectors across Canada and around the world. Evaluation results indicate that the webinars increase awareness about the Registry and stimulate use of the methods/tools. Although webinar attendees were significantly less likely to have used the methods/tools 6-months after webinar, this may be attributed to the lack of an identified opportunity in their work to use the method/tool. Despite technological challenges and requests for further examples of how the methods/tools have been used, there is overwhelming positive feedback that the format, presenters, content, and interaction across webinars worked. This evaluation supports that webinars are a valuable strategy for increasing

  15. Promoting Awareness of Key Resources for Evidence-Informed Decision-making in Public Health: An Evaluation of a Webinar Series about Knowledge Translation Methods and Tools.

    Science.gov (United States)

    Yost, Jennifer; Mackintosh, Jeannie; Read, Kristin; Dobbins, Maureen

    2016-01-01

    The National Collaborating Centre for Methods and Tools (NCCMT) has developed several resources to support evidence-informed decision-making - the process of distilling and disseminating best available evidence from research, context, and experience - and knowledge translation, applying best evidence in practice. One such resource, the Registry of Methods and Tools, is a free online database of 195 methods and tools to support knowledge translation. Building on the identification of webinars as a strategy to improve the dissemination of information, NCCMT launched the Spotlight on Knowledge Translation Methods and Tools webinar series in 2012 to promote awareness and use of the Registry. To inform continued implementation of this webinar series, NCCMT conducted an evaluation of the series' potential to improve awareness and use of the methods/tools within the Registry, as well as identify areas for improvement and "what worked." For this evaluation, the following data were analyzed: electronic follow-up surveys administered immediately following each webinar; an additional electronic survey administered 6 months after two webinars; and Google Analytics for each webinar. As of November 2015, there have been 22 webinars conducted, reaching 2048 people in multiple sectors across Canada and around the world. Evaluation results indicate that the webinars increase awareness about the Registry and stimulate use of the methods/tools. Although webinar attendees were significantly less likely to have used the methods/tools 6 months after webinars, this may be attributed to the lack of an identified opportunity in their work to use the method/tool. Despite technological challenges and requests for further examples of how the methods/tools have been used, there is overwhelming positive feedback that the format, presenters, content, and interaction across webinars "worked." This evaluation supports that webinars are a valuable strategy for increasing awareness and

  16. Literal Translation using Google Translate in Translating the Text from French to English in Digital Tourism Brochure Bienvenue Paris

    Directory of Open Access Journals (Sweden)

    Rila Hilma

    2011-04-01

    Full Text Available Translation is basically change of form. The form from which the translation is made will be called the source language and the form into which it is to be changed will be called the receptor language. Translation consists of transferring the meaning of the source language into the receptor language. Translating is not an easy job to do because many things to be considered to do this activity because translation means determining the meaning of a text, then reconstructing this same meaning using the appropriate structure and form in the receptor language. Translation is basically divided by two types of translation, one is literal and the other is idiomatic. Literal translation is really strict to the structure and form then often can not well express the true meaning of source language. Idiomatic translation makes every effort to communicate the meaning of the source language text in the natural forms of the receptor language. Then the most popular translation machine, Google Translate, in this study shows the results of translation which remain odd, unnatural, and nonsensical because the unsuccessful of message delivery, which is notably the typically error of literal translation.

  17. Interactive Translation Prediction versus Conventional Post-editing in Practice

    DEFF Research Database (Denmark)

    Sanchis-Trilles, German; Alabau, Vicent; Buck, Christian;

    2014-01-01

    We conducted a field trial in computer-assisted professional translation to compare Interactive Translation Prediction (ITP) against conventional post- editing (PE) of machine translation (MT) output. In contrast to the conventional PE set-up, where an MT system first produces a static translatio...

  18. EXPERIMENTAL EVALUATION OF A CONICAL-SCREW BRIQUETTING MACHINE FOR THE BRIQUETTING OF CARBONIZED COTTON STALKS IN SUDAN

    Directory of Open Access Journals (Sweden)

    YOUSIF A. ABAKR

    2006-12-01

    Full Text Available Briquetting of the carbonized agricultural residues represents one of the possible solutions to the local energy shortages in many developing countries. It constitutes a positive solution to the problem of increasing rates of desertification in many areas worldwide. Agricultural residues are not attractive as a household fuel source for urban areas because they are very bulky and have low energy intensity. Also, to eliminate the smoke generation when burning agricultural residues requires processing it by carbonization before being used as a house-hold indoor fuel. Previously investigated, briquetting machines lacked high productivity and were of complicated designs. The present study puts forward a machine of simple design which could be manufactured locally in Sudan and of much higher productivity. The local Sudanese briquetting experience was overviewed, studying all the alternative available options and the market potential. The study presents a detailed design study of the new briquetting machine. The prototype was made and tested in the field at Al-Gazeera area in Sudan. The investigation results show that the new machine has a production rate better than all the previous alternatives. This low pressure screw briquetting machine was found to have a production rate equivalent to about eight times better than the production rate of the best local competitor. The production cost was found to be lower due to the lower binder requirement for the new machine, which is lower by about 65%. The initial moisture content of the feed stock required for this machine is lower by about 30 % compared to the best alternative, which results in shorter drying time for the fuel briquettes produced. The quality of the produced briquettes was found to be better and of lower smoke generation when burned due to the lower binder content.

  19. Evaluation of next generation mtGenome sequencing using the Ion Torrent Personal Genome Machine (PGM)☆

    Science.gov (United States)

    Parson, Walther; Strobl, Christina; Huber, Gabriela; Zimmermann, Bettina; Gomes, Sibylle M.; Souto, Luis; Fendt, Liane; Delport, Rhena; Langit, Reina; Wootton, Sharon; Lagacé, Robert; Irwin, Jodi

    2013-01-01

    Insights into the human mitochondrial phylogeny have been primarily achieved by sequencing full mitochondrial genomes (mtGenomes). In forensic genetics (partial) mtGenome information can be used to assign haplotypes to their phylogenetic backgrounds, which may, in turn, have characteristic geographic distributions that would offer useful information in a forensic case. In addition and perhaps even more relevant in the forensic context, haplogroup-specific patterns of mutations form the basis for quality control of mtDNA sequences. The current method for establishing (partial) mtDNA haplotypes is Sanger-type sequencing (STS), which is laborious, time-consuming, and expensive. With the emergence of Next Generation Sequencing (NGS) technologies, the body of available mtDNA data can potentially be extended much more quickly and cost-efficiently. Customized chemistries, laboratory workflows and data analysis packages could support the community and increase the utility of mtDNA analysis in forensics. We have evaluated the performance of mtGenome sequencing using the Personal Genome Machine (PGM) and compared the resulting haplotypes directly with conventional Sanger-type sequencing. A total of 64 mtGenomes (>1 million bases) were established that yielded high concordance with the corresponding STS haplotypes (<0.02% differences). About two-thirds of the differences were observed in or around homopolymeric sequence stretches. In addition, the sequence alignment algorithm employed to align NGS reads played a significant role in the analysis of the data and the resulting mtDNA haplotypes. Further development of alignment software would be desirable to facilitate the application of NGS in mtDNA forensic genetics. PMID:23948325

  20. Sketch of a Noisy Channel Model for the Translation Process

    DEFF Research Database (Denmark)

    Carl, Michael

    The paper develops a Noisy Channel Model for the translation process that is based on actual user activity data. It builds on the monitor model and makes a distinction between early, automatic and late, conscious translation processes: while early priming processes are at the basis of a "literal ...... of the Center for Research and Innovation in Translation and Translation Technology (CRITT) at IBC....... of International Business Communication. His current research interests are related to the investigation of human translation processes and how advanced computer tools (such as machine translation) can fruitfully complement and support the human (translation) activities. Furthermore, he is the director...