WorldWideScience

Sample records for machine question methodology

  1. Methodological questions in studying consonant acquisition

    Science.gov (United States)

    Edwards, Jan; Beckman, Mary E.

    2009-01-01

    Consonant mastery is one of the most widely used metrics of typical phonological acquisition and of phonological disorder. Two fundamental methodological questions concerning research on consonant acquisition are (1) how to elicit a representative sample of productions and (2) how to analyse this sample once it has been collected. This paper address these two questions by reviewing relevant aspects of experience in evaluating word-initial consonant accuracy from transcriptions of isolated-word productions elicited from 2- and 3-year-olds learning four different first languages representing a telling range of consonant systems (English, Cantonese, Greek, Japanese). It is suggested that both researchers and clinicians should consider a number of different item-related factors, such as phonotactic probability and word length, when constructing word lists to elicit consonant productions from young children. This study also proposes that transcription should be supplemented by acoustic analysis and the perceptual judgements of naïve listeners. PMID:19031192

  2. Vending machine assessment methodology. A systematic review.

    Science.gov (United States)

    Matthews, Melissa A; Horacek, Tanya M

    2015-07-01

    The nutritional quality of food and beverage products sold in vending machines has been implicated as a contributing factor to the development of an obesogenic food environment. How comprehensive, reliable, and valid are the current assessment tools for vending machines to support or refute these claims? A systematic review was conducted to summarize, compare, and evaluate the current methodologies and available tools for vending machine assessment. A total of 24 relevant research studies published between 1981 and 2013 met inclusion criteria for this review. The methodological variables reviewed in this study include assessment tool type, study location, machine accessibility, product availability, healthfulness criteria, portion size, price, product promotion, and quality of scientific practice. There were wide variations in the depth of the assessment methodologies and product healthfulness criteria utilized among the reviewed studies. Of the reviewed studies, 39% evaluated machine accessibility, 91% evaluated product availability, 96% established healthfulness criteria, 70% evaluated portion size, 48% evaluated price, 52% evaluated product promotion, and 22% evaluated the quality of scientific practice. Of all reviewed articles, 87% reached conclusions that provided insight into the healthfulness of vended products and/or vending environment. Product healthfulness criteria and complexity for snack and beverage products was also found to be variable between the reviewed studies. These findings make it difficult to compare results between studies. A universal, valid, and reliable vending machine assessment tool that is comprehensive yet user-friendly is recommended.

  3. A Machine Learning-based Method for Question Type Classification in Biomedical Question Answering.

    Science.gov (United States)

    Sarrouti, Mourad; Ouatik El Alaoui, Said

    2017-05-18

    Biomedical question type classification is one of the important components of an automatic biomedical question answering system. The performance of the latter depends directly on the performance of its biomedical question type classification system, which consists of assigning a category to each question in order to determine the appropriate answer extraction algorithm. This study aims to automatically classify biomedical questions into one of the four categories: (1) yes/no, (2) factoid, (3) list, and (4) summary. In this paper, we propose a biomedical question type classification method based on machine learning approaches to automatically assign a category to a biomedical question. First, we extract features from biomedical questions using the proposed handcrafted lexico-syntactic patterns. Then, we feed these features for machine-learning algorithms. Finally, the class label is predicted using the trained classifiers. Experimental evaluations performed on large standard annotated datasets of biomedical questions, provided by the BioASQ challenge, demonstrated that our method exhibits significant improved performance when compared to four baseline systems. The proposed method achieves a roughly 10-point increase over the best baseline in terms of accuracy. Moreover, the obtained results show that using handcrafted lexico-syntactic patterns as features' provider of support vector machine (SVM) lead to the highest accuracy of 89.40 %. The proposed method can automatically classify BioASQ questions into one of the four categories: yes/no, factoid, list, and summary. Furthermore, the results demonstrated that our method produced the best classification performance compared to four baseline systems.

  4. Toward Question-Asking Machines: The Logic of Questions and the Inquiry Calculus

    Science.gov (United States)

    Knuth,Kevin H.

    2005-01-01

    For over a century, the study of logic has focused on the algebra of logical statements. This work, first performed by George Boole, has led to the development of modern computers, and was shown by Richard T. Cox to be the foundation of Bayesian inference. Meanwhile the logic of questions has been much neglected. For our computing machines to be truly intelligent, they need to be able to ask relevant questions. In this paper I will show how the Boolean lattice of logical statements gives rise to the free distributive lattice of questions thus defining their algebra. Furthermore, there exists a quantity analogous to probability, called relevance, which quantifies the degree to which one question answers another. I will show that relevance is not only a natural generalization of information theory, but also forms its foundation.

  5. Productivity improvement of high end cnc machines by dmaic methodology

    OpenAIRE

    Veeresh Bhusnur; Dr. Bhimasen Soragaon; Hemanth Kumar C

    2017-01-01

    This research mainly emphasizes on productivity improvement with the application of DMAIC (Define, Measure, Analyze, Measure, Improve, Control) which is sub methodology of Six Sigma. It shows the application of Six Sigma in Auma India Pvt. Ltd. to reduce the cycle time and set-up times of High End CNC machines. At Auma, one of the most critical problem is that the existing production rate cannot meet the customer demands. This work was focused on improving the production rate of CNC machines ...

  6. Methodological questions for the post-2015 development agenda.

    Directory of Open Access Journals (Sweden)

    Jacopo Bonan

    2014-07-01

    Full Text Available In 2015, the Millennium Development Goals are due to end. Academics, practitioners and the general public are eager to see which development agenda will take their place and a variety of different organizations are currently elaborating proposals for the next “round” of goals and targets. Instead of investigating possible topics of the upcoming agenda, we focus on methodological questions that – according to our view – will play a major role in the definition and implementation of future development goals. We focus on the elaboration of some key questions that should be addressed in the realm of poverty and inequality measurement, the definition of targets, the ability to consider complexity and evidence-based policy making.

  7. Methodology of Testing Shot Blasting Machines in Industrial Conditions

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    R. Wrona

    2012-04-01

    Full Text Available Shot blasting machines are widely used for automated surface treatment and finishing of castings. In shot blasting processes the stream of shots is generated and shaped by blasting turbines, making up a kinetic and dynamic system comprising a separating rotor, an adapting sleeve and a propelling rotor provided with blades. The shot blasting performance- i.e. the quality of shot treated surfaces depends on the actual design and operational parameters of the unit whilst the values of relevant parameters are associated with the geometry of turbine components and the level of its integration with the separator system. The circulation of the blasting medium becomes the integrating factor of the process line, starting from the hopper, through the propeller turbine, casting treatment, separation of contaminated abrasive mixture, to its recycling and reuse.Inferior quality of the abrasive agent (shot and insufficient purity of the abrasive mixture are responsible for low effectiveness of shot blasting. However, most practitioners fail to fully recognise the importance of proper diagnostics of the shot blasting process in industrial conditions. The wearing of major machine components and of the blasting agent and quality of shot treated surfaces are often misinterpreted, hence the need to take into account all factors involved in the process within the frame of a comprehensive methodology.This paper is an attempt to formulate and apply the available testing methods to the engineering practice in industrial conditions.

  8. Self-Writing Machines: Technology and the Question of the Self

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    Christian Kassung

    2015-09-01

    Full Text Available In order to show that technology mediates between man and machine, I will discuss in this text a literally other or alter-knowledge system that also heavily relied on self-writing machines: spiritualism. Contrary to scientific knowledge systems, in spiritualism the unforeseen, the singular, and the disturbance is what counts as, and produces, significance. That is the reason why alter-concepts such as spiritualism, esotericism, or occultism are not typically recognized as innovative agencies in the history of knowledge. Hence, what is needed to raise the question of a non-hegemonic knowledge production is a symmetrical approach in the history of technology.

  9. Application of EDA methodology for assessment of the rotating machines insulation system condition

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    Ilić Denis

    2016-01-01

    Full Text Available The insulation system of rotating machines of high importance has always been the object of thorough screening with certified test methods that are getting constantly improved. Low-power machines and 'less important' machines like high voltage motors, are rarely subjected to detailed electrical tests because of low resources allocated for their maintenance. The introduction of the EDA methodology in practice creates the conditions for reliable and complete diagnostics of stator windings of big machines, as well as the fast, easy and inexpensive screening for low-power machines (i.e. HV motors. The aim of the paper is to present the EDA methodology and its possibilities, including the solutions within the hardware and software.

  10. Studying Information Needs as Question-Negotiations in an Educational Context: A Methodological Comment

    Science.gov (United States)

    Lundh, Anna

    2010-01-01

    Introduction: The concept of information needs is significant within the field of Information Needs Seeking and Use. "How" information needs can be studied empirically is however something that has been called into question. The main aim of this paper is to explore the methodological consequences of discursively oriented theories when…

  11. Methodological Aspects of Controlling Multilevel Man-Machine Organization Systems

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    Dimitri GOLENKO-GINZBURG

    2013-01-01

    Full Text Available Hierarchical on-line control models for multilevel man-machine organization systems (production and project management systems are outlined. The models are based on the conception of emergency situations and risk averse on-line control. By using the idea that hierarchical levels can interact only in special situations, the so-called emergency points, one can decompose general and complex multi-level problems of optimal control into sequences of one-level control problems. A hierarchical on-line control model under chance constraint is presented. The model comprises a chance constraint at the upper level and enables at the lower level optimizing both the units' starting time and the resources to be hired. The objective is the average total expenses within the planning horizon while the chance constraint is the minimal permissible probability of meeting the due date on time.

  12. 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…

  13. 直流电机释疑%Questions and Answers on DC Machine

    Institute of Scientific and Technical Information of China (English)

    张文海

    2012-01-01

    Various questions of DC machine was analyzed in detail,for instance,why does a simplex wave winding DC torque motor have uniformity of magnetic field, what is critical field resistance in self-excited DC generator, why do sparks of series wound DC motor have difference between using AC and DC power, why are commutation sparks of three slots DC motor bigger than common DC motor and why does the speed of SmCo DC motor change with the increase of temperature.%对直流电机存在的各种问题进行了详细分析,如:单波绕组的直流力矩电动机为什么可以均磁?什么是自励直流发电机的磁场临界电阻?串励直流电动机的火花为什么会变化?三槽式直流电动机的换向火花为什么大?钐钴直流电动机的转速在高低温条件下为什么有变化?有刷直流电动机和无刷直流电动机是否可逆?

  14. Machining Performance Study on Metal Matrix Composites-A Response Surface Methodology Approach

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    A. Srinivasan

    2012-01-01

    Full Text Available Problem statement: Metal Matrix Composites (MMC have become a leading material among composite materials and in particular, particle reinforced aluminum MMCs have received considerable attention due to their excellent engineering properties. These materials are known as the difficult-to-machine materials because of the hardness and abrasive nature of reinforcement element-like Alumina (Al2O3. Approach: In this study, an attempt has been made to model the machinability evaluation through the response surface methodology in machining of homogenized 10% micron Al2O3 LM25 Al MMC manufactured through stir casting method. Results: The combined effects of three machining parameters including cutting speed (s, feed rate (f and depth of cut (d on the basis of three performance characteristics of tool wear (VB, surface Roughness (Ra and cutting Force (Fz were investigated. The contour plots were generated to study the effect of process parameters as well as their interactions. Conclusion: The process parameters are optimized using desirability-based approach response surface methodology.

  15. METHODOLOGICAL QUESTIONS OF SCIENTIFIC COMMUNICATION PERFECTING WITH THE USE OF MODERN INFORMATION AND COMMUNICATION TECHNOLOGIES

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    Georgii A. Ball

    2011-05-01

    Full Text Available The authors outline vital methodological questions which concern: (a value guidelines of scientific cognition and scientific communication; b theoretical bases (corresponding to task approach of building of scientific activity; c rational using of modern information and communication technologies in that activity. Among the most important steps towards the improvement of scientific communication the following were stressed: a awareness by scientists of their responsibility not only for adequate knowledge of the objects, but also for creating backgrounds so that the results of this knowledge might become the property of the consumers of scientific products, b development, to form such backgrounds, the ways based on adequate theoretical tools (in particular, on the task theory and on modern information and communication technologies, c coverage and discussion of the results of such development.

  16. Study of cutting forces in machining of magnesium composite by response surface methodology

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    M. Saravanakumar

    2015-01-01

    Full Text Available Metal Matrix composites (MMCs has many excellent engineering properties like good strength to weight ratio, stiffness and increased wear resistance etc., These properties are the main requirements in aerospace, automotive industries and hence the MMCs are extensively used in these industries. This paper presents the detailed experimental study on cutting forces and surface roughness aspects in turning of 5% Graphite reinforced AZ91D Magnesium alloy metal matrix composite (AZ91D Magnesium alloy matrix + 5 % Graphite reinforcement. The stir casting process under inert atmosphere is followed for synthesis of the composite. The turning process is followed using Tungsten carbide cutting tool, in a lathe. The effect of machining parameters viz., cutting speed, feed rate and depth of cut, on the cutting forces and surface roughness (Ra achieved during the machining are analysed and modelled through the response surface methodology (RSM. Study of effect of machining parameters and their interactions are carried out by using the surface, contour plots of RSM. The experimental result shows that the most significant machining parameter affecting surface roughness and cutting forces is cutting speed. The experimental results and predicted values are observed as in good agreement.

  17. Using PICO Methodology to Answer Questions About Smoking in COPD Patients.

    Science.gov (United States)

    Jiménez Ruiz, Carlos A; Buljubasich, Daniel; Riesco Miranda, Juan Antonio; Acuña Izcaray, Agustín; de Granda Orive, José Ignacio; Chatkin, José Miguel; Zabert, Gustavo; Guerreros Benavides, Alfredo; Paez Espinel, Nelson; Noé, Valeri; Sánchez-Angarita, Efraín; Núñez-Sánchez, Ingrid; Sansores, Raúl H; Casas, Alejandro; Palomar Lever, Andrés; Alfageme Michavila, Inmaculada

    2017-05-27

    The ALAT and SEPAR Treatment and Control of Smoking Groups have collaborated in the preparation of this document which attempts to answer, by way of PICO methodology, different questions on health interventions for helping COPD patients to stop smoking. The main recommendations are: (i)moderate-quality evidence and strong recommendation for performing spirometry in COPD patients and in smokers with a high risk of developing the disease, as a motivational tool (particularly for showing evidence of lung age), a diagnostic tool, and for active case-finding; (ii)high-quality evidence and strong recommendation for using intensive dedicated behavioral counselling and drug treatment for helping COPD patients to stop smoking; (iii)high-quality evidence and strong recommendation for initiating interventions for helping COPD patients to stop smoking during hospitalization with improvement when the intervention is prolonged after discharge, and (iv)high-quality evidence and strong recommendation for funding treatment of smoking in COPD patients, in view of the impact on health and health economics. Copyright © 2017 SEPAR. Publicado por Elsevier España, S.L.U. All rights reserved.

  18. Application of machine learning methodology for PET-based definition of lung cancer.

    Science.gov (United States)

    Kerhet, A; Small, C; Quon, H; Riauka, T; Schrader, L; Greiner, R; Yee, D; McEwan, A; Roa, W

    2010-02-01

    We applied a learning methodology framework to assist in the threshold-based segmentation of non-small-cell lung cancer (NSCLC) tumours in positron-emission tomography-computed tomography (PET-CT) imaging for use in radiotherapy planning. Gated and standard free-breathing studies of two patients were independently analysed (four studies in total). Each study had a pet-ct and a treatment-planning ct image. The reference gross tumour volume (GTV) was identified by two experienced radiation oncologists who also determined reference standardized uptake value (SUV) thresholds that most closely approximated the GTV contour on each slice. A set of uptake distribution-related attributes was calculated for each PET slice. A machine learning algorithm was trained on a subset of the PET slices to cope with slice-to-slice variation in the optimal suv threshold: that is, to predict the most appropriate suv threshold from the calculated attributes for each slice. The algorithm's performance was evaluated using the remainder of the pet slices. A high degree of geometric similarity was achieved between the areas outlined by the predicted and the reference SUV thresholds (Jaccard index exceeding 0.82). No significant difference was found between the gated and the free-breathing results in the same patient. In this preliminary work, we demonstrated the potential applicability of a machine learning methodology as an auxiliary tool for radiation treatment planning in NSCLC.

  19. Application of machine learning methodology for pet-based definition of lung cancer

    Science.gov (United States)

    Kerhet, A.; Small, C.; Quon, H.; Riauka, T.; Schrader, L.; Greiner, R.; Yee, D.; McEwan, A.; Roa, W.

    2010-01-01

    We applied a learning methodology framework to assist in the threshold-based segmentation of non-small-cell lung cancer (nsclc) tumours in positron-emission tomography–computed tomography (pet–ct) imaging for use in radiotherapy planning. Gated and standard free-breathing studies of two patients were independently analysed (four studies in total). Each study had a pet–ct and a treatment-planning ct image. The reference gross tumour volume (gtv) was identified by two experienced radiation oncologists who also determined reference standardized uptake value (suv) thresholds that most closely approximated the gtv contour on each slice. A set of uptake distribution-related attributes was calculated for each pet slice. A machine learning algorithm was trained on a subset of the pet slices to cope with slice-to-slice variation in the optimal suv threshold: that is, to predict the most appropriate suv threshold from the calculated attributes for each slice. The algorithm’s performance was evaluated using the remainder of the pet slices. A high degree of geometric similarity was achieved between the areas outlined by the predicted and the reference suv thresholds (Jaccard index exceeding 0.82). No significant difference was found between the gated and the free-breathing results in the same patient. In this preliminary work, we demonstrated the potential applicability of a machine learning methodology as an auxiliary tool for radiation treatment planning in nsclc. PMID:20179802

  20. Modular projects and 'mean questions': best practices for advising an International Genetically Engineered Machines team.

    Science.gov (United States)

    Tsui, Jennifer; Meyer, Anne S

    2016-07-01

    In the yearly Internationally Genetically Engineered Machines (iGEM) competition, teams of Bachelor's and Master's students design and build an engineered biological system using DNA technologies. Advising an iGEM team poses unique challenges due to the inherent difficulties of mounting and completing a new biological project from scratch over the course of a single academic year; the challenges in obtaining financial and structural resources for a project that will likely not be fully realized; and conflicts between educational and competition-based goals. This article shares tips and best practices for iGEM team advisors, from two team advisors with very different experiences with the iGEM competition.

  1. The Development and Significance of Standards for Smoking-Machine Methodology

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    Baker R

    2014-12-01

    Full Text Available Bialous and Yach have recently published an article in Tobacco Control in which they claim that all smoking-machine standards stem from a method developed unilaterally by the tobacco industry within the Cooperation Centre for Scientific Research Relative to Tobacco (CORESTA. Using a few highly selective quotations from internal tobacco company memos, they allege, inter alia, that the tobacco industry has changed the method to suit its own needs, that because humans do not smoke like machines the standards are of little value, and that the tobacco industry has unjustifiably made health claims about low “tar” cigarettes. The objectives of this paper are to review the development of smoking-machine methodology and standards, involvement of relative parties, outline the significance of the results and explore the validity of Bialous and Yach's claims. The large volume of published scientific information on the subject together with other information in the public domain has been consulted. When this information is taken into account it becomes obvious that the very narrow and restricted literature base of Bialous and Yach's analysis has resulted in them, perhaps inadvertedly, making factual errors, drawing wrong conclusions and writing inaccurate statements on many aspects of the subject. The first smoking-machine standard was specified by the Federal Trade Commission (FTC, a federal government agency in the USA, in 1966. The CORESTA Recommended Method, similar in many aspects to that of the FTC, was developed in the late 1960s and published in 1969. Small differences in the butt lengths, smoke collection and analytical procedures in methods used in various countries including Germany, Canada and the UK, developed later, resulted in about a 10% difference in smoke “tar” yields. These differences in methodology were harmonised in a common International Organisation for Standardisation (ISO Standard Method in 1991, after a considerable amount

  2. The Methodology of Calculation of Cutting Forces When Machining Composite Materials

    Science.gov (United States)

    Rychkov, D. A.; Yanyushkin, A. S.

    2016-08-01

    Cutting of composite materials has specific features and is different from the processing of metals. When this characteristic intense wear of the cutting tool. An important criterion in the selection process parameters composite processing is the value of the cutting forces, which depends on many factors and is determined experimentally, it is not always appropriate. The study developed a method of determining the cutting forces when machining composite materials and the comparative evaluation of the calculated and actual values of cutting forces. The methodology for calculating cutting forces into account specific features of the cutting tool and the extent of wear, the strength properties of the processed material and cutting conditions. Experimental studies conducted with fiberglass milling cutter equipped with elements of hard metal VK3M. The discrepancy between the estimated and the actual values of the cutting force is not more than 10%.

  3. A methodology for automated CPA extraction using liver biopsy image analysis and machine learning techniques.

    Science.gov (United States)

    Tsipouras, Markos G; Giannakeas, Nikolaos; Tzallas, Alexandros T; Tsianou, Zoe E; Manousou, Pinelopi; Hall, Andrew; Tsoulos, Ioannis; Tsianos, Epameinondas

    2017-03-01

    Collagen proportional area (CPA) extraction in liver biopsy images provides the degree of fibrosis expansion in liver tissue, which is the most characteristic histological alteration in hepatitis C virus (HCV). Assessment of the fibrotic tissue is currently based on semiquantitative staging scores such as Ishak and Metavir. Since its introduction as a fibrotic tissue assessment technique, CPA calculation based on image analysis techniques has proven to be more accurate than semiquantitative scores. However, CPA has yet to reach everyday clinical practice, since the lack of standardized and robust methods for computerized image analysis for CPA assessment have proven to be a major limitation. The current work introduces a three-stage fully automated methodology for CPA extraction based on machine learning techniques. Specifically, clustering algorithms have been employed for background-tissue separation, as well as for fibrosis detection in liver tissue regions, in the first and the third stage of the methodology, respectively. Due to the existence of several types of tissue regions in the image (such as blood clots, muscle tissue, structural collagen, etc.), classification algorithms have been employed to identify liver tissue regions and exclude all other non-liver tissue regions from CPA computation. For the evaluation of the methodology, 79 liver biopsy images have been employed, obtaining 1.31% mean absolute CPA error, with 0.923 concordance correlation coefficient. The proposed methodology is designed to (i) avoid manual threshold-based and region selection processes, widely used in similar approaches presented in the literature, and (ii) minimize CPA calculation time. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  4. Beyond "on" or "with": Questioning Power Dynamics and Knowledge Production in "Child-Oriented" Research Methodology

    Science.gov (United States)

    Hunleth, Jean

    2011-01-01

    By taking a reflexive approach to research methodology, this article contributes to discussions on power dynamics and knowledge production in the social studies of children. The author describes and analyzes three research methods that she used with children--drawing, child-led tape-recording and focus group discussions. These methods were carried…

  5. Constructing a question bank based on script concordance approach as a novel assessment methodology in surgical education.

    Science.gov (United States)

    Aldekhayel, Salah A; Alselaim, Nahar A; Magzoub, Mohi Eldin; Al-Qattan, Mohammad M; Al-Namlah, Abdullah M; Tamim, Hani; Al-Khayal, Abdullah; Al-Habdan, Sultan I; Zamakhshary, Mohammed F

    2012-10-24

    Script Concordance Test (SCT) is a new assessment tool that reliably assesses clinical reasoning skills. Previous descriptions of developing SCT-question banks were merely subjective. This study addresses two gaps in the literature: 1) conducting the first phase of a multistep validation process of SCT in Plastic Surgery, and 2) providing an objective methodology to construct a question bank based on SCT. After developing a test blueprint, 52 test items were written. Five validation questions were developed and a validation survey was established online. Seven reviewers were asked to answer this survey. They were recruited from two countries, Saudi Arabia and Canada, to improve the test's external validity. Their ratings were transformed into percentages. Analysis was performed to compare reviewers' ratings by looking at correlations, ranges, means, medians, and overall scores. Scores of reviewers' ratings were between 76% and 95% (mean 86% ± 5). We found poor correlations between reviewers (Pearson's: +0.38 to -0.22). Ratings of individual validation questions ranged between 0 and 4 (on a scale 1-5). Means and medians of these ranges were computed for each test item (mean: 0.8 to 2.4; median: 1 to 3). A subset of test items comprising 27 items was generated based on a set of inclusion and exclusion criteria. This study proposes an objective methodology for validation of SCT-question bank. Analysis of validation survey is done from all angles, i.e., reviewers, validation questions, and test items. Finally, a subset of test items is generated based on a set of criteria.

  6. Methodological troubles as problems and phenomena: ethnomethodology and the question of 'method' in the social sciences.

    Science.gov (United States)

    Greiffenhagen, Christian; Mair, Michael; Sharrock, Wes

    2015-09-01

    Across the disciplinary frontiers of the social sciences, studies by social scientists treating their own investigative practices as sites of empirical inquiry have proliferated. Most of these studies have been retrospective, historical, after-the-fact reconstructions of social scientific studies mixing interview data with the (predominantly textual) traces that investigations leave behind. Observational studies of in situ work in social science research are, however, relatively scarce. Ethnomethodology was an early and prominent attempt to treat social science methodology as a topic for sociological investigations and, in this paper, we draw out what we see as its distinctive contribution: namely, a focus on troubles as features of the in situ, practical accomplishment of method, in particular, the way that research outcomes are shaped by the local practices of investigators in response to the troubles they encounter along the way. Based on two case studies, we distinguish methodological troubles as problems and methodological troubles as phenomena to be studied, and suggest the latter orientation provides an alternate starting point for addressing social scientists' investigative practices.

  7. Mathematical modeling and analysis of WEDM machining parameters of nickel-based super alloy using response surface methodology

    Indian Academy of Sciences (India)

    M P GARG; ANISH KUMAR; C K SAHU

    2017-06-01

    Inconel 625 is one of the most versatile nickel-based super alloy used in the aerospace, automobile, chemical processing, oil refining, marine, waste treatment, pulp and paper, and power industries. Wire electrical discharge machining (WEDM) is the process considered in the present text for machining of Inconel 625 as it can provide an effective solution for machining ultra-hard, high-strength and temperature-resistant materials and alloys, overcoming the constraints of the conventional processes. The present work is mainly focused on the analysis and optimization of the WEDM process parameters of Inconel 625. The four machining parameters, that is, pulse on time, pulse off time, spark gap voltage and wire feed have been varied to investigate their effects onthree output responses, such as cutting speed, gap current, and surface roughness. Response surface methodology was used to develop the experimental models. The parametric analysis-based results revealed that pulse on time and pulse off time were significant, spark gap voltage is the least significant, and wire feed as a single factor is insignificant. Multi-objective optimization technique was employed using desirability approach to obtain theoptimal parameters setting. Furthermore, surface topography in terms of machining parameters revealed that pulse on time and pulse off time significantly deteriorate the surface of the machined samples, which produce thedeeper, wider overlapping craters and globules of debris.

  8. Machining Error Control by Integrating Multivariate Statistical Process Control and Stream of Variations Methodology

    Institute of Scientific and Technical Information of China (English)

    WANG Pei; ZHANG Dinghua; LI Shan; CHEN Bing

    2012-01-01

    For aircraft manufacturing industries,the analyses and prediction of part machining error during machining process are very important to control and improve part machining quality.In order to effectively control machining error,the method of integrating multivariate statistical process control (MSPC) and stream of variations (SoV) is proposed.Firstly,machining error is modeled by multi-operation approaches for part machining process.SoV is adopted to establish the mathematic model of the relationship between the error of upstream operations and the error of downstream operations.Here error sources not only include the influence of upstream operations but also include many of other error sources.The standard model and the predicted model about SoV are built respectively by whether the operation is done or not to satisfy different requests during part machining process.Secondly,the method of one-step ahead forecast error (OSFE) is used to eliminate autocorrelativity of the sample data from the SoV model,and the T2 control chart in MSPC is built to realize machining error detection according to the data characteristics of the above error model,which can judge whether the operation is out of control or not.If it is,then feedback is sent to the operations.The error model is modified by adjusting the operation out of control,and continually it is used to monitor operations.Finally,a machining instance containing two operations demonstrates the effectiveness of the machining error control method presented in this paper.

  9. An Analysis Methodology for Stochastic Characteristic of Volumetric Error in Multiaxis CNC Machine Tool

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    Qiang Cheng

    2013-01-01

    Full Text Available Traditional approaches about error modeling and analysis of machine tool few consider the probability characteristics of the geometric error and volumetric error systematically. However, the individual geometric error measured at different points is variational and stochastic, and therefore the resultant volumetric error is aslo stochastic and uncertain. In order to address the stochastic characteristic of the volumetric error for multiaxis machine tool, a new probability analysis mathematical model of volumetric error is proposed in this paper. According to multibody system theory, a mean value analysis model for volumetric error is established with consideration of geometric errors. The probability characteristics of geometric errors are obtained by statistical analysis to the measured sample data. Based on probability statistics and stochastic process theory, the variance analysis model of volumetric error is established in matrix, which can avoid the complex mathematics operations during the direct differential. A four-axis horizontal machining center is selected as an illustration example. The analysis results can reveal the stochastic characteristic of volumetric error and are also helpful to make full use of the best workspace to reduce the random uncertainty of the volumetric error and improve the machining accuracy.

  10. Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates Through Natural Language Processing and Machine Learning.

    Science.gov (United States)

    Cohen, Kevin Bretonnel; Glass, Benjamin; Greiner, Hansel M; Holland-Bouley, Katherine; Standridge, Shannon; Arya, Ravindra; Faist, Robert; Morita, Diego; Mangano, Francesco; Connolly, Brian; Glauser, Tracy; Pestian, John

    2016-01-01

    We describe the development and evaluation of a system that uses machine learning and natural language processing techniques to identify potential candidates for surgical intervention for drug-resistant pediatric epilepsy. The data are comprised of free-text clinical notes extracted from the electronic health record (EHR). Both known clinical outcomes from the EHR and manual chart annotations provide gold standards for the patient's status. The following hypotheses are then tested: 1) machine learning methods can identify epilepsy surgery candidates as well as physicians do and 2) machine learning methods can identify candidates earlier than physicians do. These hypotheses are tested by systematically evaluating the effects of the data source, amount of training data, class balance, classification algorithm, and feature set on classifier performance. The results support both hypotheses, with F-measures ranging from 0.71 to 0.82. The feature set, classification algorithm, amount of training data, class balance, and gold standard all significantly affected classification performance. It was further observed that classification performance was better than the highest agreement between two annotators, even at one year before documented surgery referral. The results demonstrate that such machine learning methods can contribute to predicting pediatric epilepsy surgery candidates and reducing lag time to surgery referral.

  11. What subject matter questions motivate the use of machine learning approaches compared to statistical models for probability prediction?

    Science.gov (United States)

    Binder, Harald

    2014-07-01

    This is a discussion of the following papers: "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory" by Jochen Kruppa, Yufeng Liu, Gérard Biau, Michael Kohler, Inke R. König, James D. Malley, and Andreas Ziegler; and "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications" by Jochen Kruppa, Yufeng Liu, Hans-Christian Diener, Theresa Holste, Christian Weimar, Inke R. König, and Andreas Ziegler.

  12. ANN-PSO Integrated Optimization Methodology for Intelligent Control of MMC Machining

    Science.gov (United States)

    Chandrasekaran, Muthumari; Tamang, Santosh

    2016-06-01

    Metal Matrix Composites (MMC) show improved properties in comparison with non-reinforced alloys and have found increased application in automotive and aerospace industries. The selection of optimum machining parameters to produce components of desired surface roughness is of great concern considering the quality and economy of manufacturing process. In this study, a surface roughness prediction model for turning Al-SiCp MMC is developed using Artificial Neural Network (ANN). Three turning parameters viz., spindle speed (N), feed rate (f) and depth of cut (d) were considered as input neurons and surface roughness was an output neuron. ANN architecture having 3-5-1 is found to be optimum and the model predicts with an average percentage error of 7.72 %. Particle Swarm Optimization (PSO) technique is used for optimizing parameters to minimize machining time. The innovative aspect of this work is the development of an integrated ANN-PSO optimization method for intelligent control of MMC machining process applicable to manufacturing industries. The robustness of the method shows its superiority for obtaining optimum cutting parameters satisfying desired surface roughness. The method has better convergent capability with minimum number of iterations.

  13. The Use of Response Surface Methodology to Optimize Parameter Adjustments in CNC Machine Tools

    Directory of Open Access Journals (Sweden)

    Shao-Hsien Chen

    2014-01-01

    Full Text Available This paper mainly covers a research intended to improve the circular accuracy of CNC machine tools and the adjustment and analysis of the main controller parameters applied to improve accuracy. In this study, controller analysis software was used to detect the adjustment status of the servo parameters of the feed axis. According to the FANUC parameter manual, the parameter address, frequency, response measurements, and the one-fourth corner acceleration and deceleration measurements of the machine tools were adjusted. The experimental design (DOE was adopted in this study for taking circular measurements and engaging in the planning and selection of important parameter data. The Minitab R15 software was adopted to predict the experimental data analysis, while the seminormal probability map, Plato, and analysis of variance (ANOVA were adopted to determine the impacts of the significant parameter factors and the interactions among them. Additionally, based on the response surface map and contour plot, the optimal values were obtained. In addition, comparison and verification were conducted through the Taguchi method, regression analysis to improved machining accuracy and efficiency. The unadjusted error was 7.8 μm; through the regression analysis method, the error was 5.8 μm and through the Taguchi analysis method, the error was 6.4 μm.

  14. Predictive Models for Different Roughness Parameters During Machining Process of Peek Composites Using Response Surface Methodology

    Directory of Open Access Journals (Sweden)

    Mata-Cabrera Francisco

    2013-10-01

    Full Text Available Polyetheretherketone (PEEK composite belongs to a group of high performance thermoplastic polymers and is widely used in structural components. To improve the mechanical and tribological properties, short fibers are added as reinforcement to the material. Due to its functional properties and potential applications, it’s impor- tant to investigate the machinability of non-reinforced PEEK (PEEK, PEEK rein- forced with 30% of carbon fibers (PEEK CF30, and reinforced PEEK with 30% glass fibers (PEEK GF30 to determine the optimal conditions for the manufacture of the parts. The present study establishes the relationship between the cutting con- ditions (cutting speed and feed rate and the roughness (Ra , Rt , Rq , Rp , by develop- ing second order mathematical models. The experiments were planned as per full factorial design of experiments and an analysis of variance has been performed to check the adequacy of the models. These state the adequacy of the derived models to obtain predictions for roughness parameters within ranges of parameters that have been investigated during the experiments. The experimental results show that the most influence of the cutting parameters is the feed rate, furthermore, proved that glass fiber reinforcements produce a worse machinability.

  15. Methodological issues in the validation of complex human-machine systems

    Energy Technology Data Exchange (ETDEWEB)

    O`Hara, J.; Stubler, W. [Brookhaven National Lab., Upton, NY (United States); Wachtel, J. [Nuclear Regulatory Commission, Washington, DC (United States). Office of Nuclear Regulatory Research

    1995-05-01

    Integrated system validation is one aspect of the US Nuclear Regulatory Commission`s design review process for human-system interfaces. This paper will consider three methodological issues that must be addressed in validation and their implications for drawing conclusions about the acceptability of the integrated system. They are: representing the integrated system, representing the operational events it must handle, and representing system performance. A logical basis for generalizability from validation tests to predicted performance of the integrated system emerges from the comparability of the psychological and physical processes of the test and actual situations. Generalizability of results is supported when the integrated system, operating conditions and performance are representative of their real-world counterparts. The methodological considerations for establishing representativeness are discussed.

  16. A fast hybrid methodology based on machine learning, quantum methods, and experimental measurements for evaluating material properties

    Science.gov (United States)

    Kong, Chang Sun; Haverty, Michael; Simka, Harsono; Shankar, Sadasivan; Rajan, Krishna

    2017-09-01

    We present a hybrid approach based on both machine learning and targeted ab-initio calculations to determine adhesion energies between dissimilar materials. The goals of this approach are to complement experimental and/or all ab-initio computational efforts, to identify promising materials rapidly and identify in a quantitative manner the relative contributions of the different material attributes affecting adhesion. Applications of the methodology to predict bulk modulus, yield strength, adhesion and wetting properties of copper (Cu) with other materials including metals, nitrides and oxides is discussed in this paper. In the machine learning component of this methodology, the parameters that were chosen can be roughly divided into four types: atomic and crystalline parameters (which are related to specific elements such as electronegativities, electron densities in Wigner-Seitz cells); bulk material properties (e.g. melting point), mechanical properties (e.g. modulus) and those representing atomic characteristics in ab-initio formalisms (e.g. pseudopotentials). The atomic parameters are defined over one dataset to determine property correlation with published experimental data. We then develop a semi-empirical model across multiple datasets to predict adhesion in material interfaces outside the original datasets. Since adhesion is between two materials, we appropriately use parameters which indicate differences between the elements that comprise the materials. These semi-empirical predictions agree reasonably with the trend in chemical work of adhesion predicted using ab-initio techniques and are used for fast materials screening. For the screened candidates, the ab-initio modeling component provides fundamental understanding of the chemical interactions at the interface, and explains the wetting thermodynamics of thin Cu layers on various substrates. Comparison against ultra-high vacuum (UHV) experiments for well-characterized Cu/Ta and Cu/α-Al2O3 interfaces is

  17. Methodology

    OpenAIRE

    Köppel, Johannes

    2011-01-01

    The main research question of this thesis is the following: why did Swiss banks and Swiss authorities obediently accepted the dilution of banking privacy in the case of the SWIFT surveillance, when they are usually fierce advocates of banking secrecy? The author initially established three hypotheses: Hypothesis 1 assumes that Switzerland has not opposed the SWIFT program, either publicly or behind the scenes. This implies that Swiss banks and authorities have silently accepted the erosion of...

  18. To Give or Not to Give, That Is the Question : How Methodology Is Destiny in Dutch Giving Data

    NARCIS (Netherlands)

    Bekkers, René; Wiepking, Pamala

    2006-01-01

    In research on giving, methodology is destiny. The volume of donations estimated from sample surveys strongly depends on the length of the questionnaire used to measure giving. By comparing two giving surveys from the Netherlands, the authors show that a short questionnaire on giving not only undere

  19. Nonlinear Methodologies for Identifying Seismic Event and Nuclear Explosion Using Random Forest, Support Vector Machine, and Naive Bayes Classification

    Directory of Open Access Journals (Sweden)

    Longjun Dong

    2014-01-01

    Full Text Available The discrimination of seismic event and nuclear explosion is a complex and nonlinear system. The nonlinear methodologies including Random Forests (RF, Support Vector Machines (SVM, and Naïve Bayes Classifier (NBC were applied to discriminant seismic events. Twenty earthquakes and twenty-seven explosions with nine ratios of the energies contained within predetermined “velocity windows” and calculated distance are used in discriminators. Based on the one out cross-validation, ROC curve, calculated accuracy of training and test samples, and discriminating performances of RF, SVM, and NBC were discussed and compared. The result of RF method clearly shows the best predictive power with a maximum area of 0.975 under the ROC among RF, SVM, and NBC. The discriminant accuracies of RF, SVM, and NBC for test samples are 92.86%, 85.71%, and 92.86%, respectively. It has been demonstrated that the presented RF model can not only identify seismic event automatically with high accuracy, but also can sort the discriminant indicators according to calculated values of weights.

  20. Prediction of material removal rate and surface roughness for wire electrical discharge machining of nickel using response surface methodology

    Directory of Open Access Journals (Sweden)

    Thangam Chinnadurai

    2016-12-01

    Full Text Available This study focuses on investigating the effects of process parameters, namely, Peak current (Ip, Pulse on time (Ton, Pulse off time (Toff, Water pressure (Wp, Wire feed rate (Wf, Wire tension (Wt, Servo voltage (Sv and Servo feed setting (Sfs, on the Material Removal Rate (MRR and Surface Roughness (SR for Wire electrical discharge machining (Wire-EDM of nickel using Taguchi method. Response Surface Methodology (RSM is adopted to evolve mathematical relationships between the wire cutting process parameters and the output variables of the weld joint to determine the welding input parameters that lead to the desired optimal wire cutting quality. Besides, using response surface plots, the interaction effects of process parameters on the responses are analyzed and discussed. The statistical software Mini-tab is used to establish the design and to obtain the regression equations. The developed mathematical models are tested by analysis-of-variance (ANOVA method to check their appropriateness and suitability. Finally, a comparison is made between measured and calculated results, which are in good agreement. This indicates that the developed models can predict the responses accurately and precisely within the limits of cutting parameter being used.

  1. The research questions and methodological adequacy of clinical studies of the voice and larynx published in Brazilian and international journals.

    Science.gov (United States)

    Vieira, Vanessa Pedrosa; De Biase, Noemi; Peccin, Maria Stella; Atallah, Alvaro Nagib

    2009-06-01

    To evaluate the methodological adequacy of voice and laryngeal study designs published in speech-language pathology and otorhinolaryngology journals indexed for the ISI Web of Knowledge (ISI Web) and the MEDLINE database. A cross-sectional study conducted at the Universidade Federal de São Paulo (Federal University of São Paulo). Two Brazilian speech-language pathology and otorhinolaryngology journals (Pró-Fono and Revista Brasileira de Otorrinolaringologia) and two international speech-language pathology and otorhinolaryngology journals (Journal of Voice, Laryngoscope), all dated between 2000 and 2004, were hand-searched by specialists. Subsequently, voice and larynx publications were separated, and a speech-language pathologist and otorhinolaryngologist classified 374 articles from the four journals according to objective and study design. The predominant objective contained in the articles was that of primary diagnostic evaluation (27%), and the most frequent study design was case series (33.7%). A mere 7.8% of the studies were designed adequately with respect to the stated objectives. There was no statistical difference in the methodological quality of studies indexed for the ISI Web and the MEDLINE database. The studies published in both national journals, indexed for the MEDLINE database, and international journals, indexed for the ISI Web, demonstrate weak methodology, with research poorly designed to meet the proposed objectives. There is much scientific work to be done in order to decrease uncertainty in the field analysed.

  2. Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.

    Science.gov (United States)

    Kasabov, Nikola; Scott, Nathan Matthew; Tu, Enmei; Marks, Stefan; Sengupta, Neelava; Capecci, Elisa; Othman, Muhaini; Doborjeh, Maryam Gholami; Murli, Norhanifah; Hartono, Reggio; Espinosa-Ramos, Josafath Israel; Zhou, Lei; Alvi, Fahad Bashir; Wang, Grace; Taylor, Denise; Feigin, Valery; Gulyaev, Sergei; Mahmoud, Mahmoud; Hou, Zeng-Guang; Yang, Jie

    2016-06-01

    The paper describes a new type of evolving connectionist systems (ECOS) called evolving spatio-temporal data machines based on neuromorphic, brain-like information processing principles (eSTDM). These are multi-modular computer systems designed to deal with large and fast spatio/spectro temporal data using spiking neural networks (SNN) as major processing modules. ECOS and eSTDM in particular can learn incrementally from data streams, can include 'on the fly' new input variables, new output class labels or regression outputs, can continuously adapt their structure and functionality, can be visualised and interpreted for new knowledge discovery and for a better understanding of the data and the processes that generated it. eSTDM can be used for early event prediction due to the ability of the SNN to spike early, before whole input vectors (they were trained on) are presented. A framework for building eSTDM called NeuCube along with a design methodology for building eSTDM using this is presented. The implementation of this framework in MATLAB, Java, and PyNN (Python) is presented. The latter facilitates the use of neuromorphic hardware platforms to run the eSTDM. Selected examples are given of eSTDM for pattern recognition and early event prediction on EEG data, fMRI data, multisensory seismic data, ecological data, climate data, audio-visual data. Future directions are discussed, including extension of the NeuCube framework for building neurogenetic eSTDM and also new applications of eSTDM.

  3. The Specification of a Data Base Machine Architecture Development Facility and a Methodology for Developing Special Purpose Function Architectures,

    Science.gov (United States)

    1980-07-01

    LIUZ ZII UNCLASSIF71ED RAUC -TR-80-26 N RADC-TR40-256 In-Moure Report July 1980 THE SPECIFICATION OF A DATA BASE MACHINE ARCHITECTURE DEVELOPMENT...ROME AIR DEVELOPME14T CENTER GRIFFISS AFB NY F/6 9/2 THE SPECIFICATION OF A DATA BASE MACHINE ARCHITECTURE DEVELOPME--ETC(U) r UNCLASSIFIED RAUC -TB BR

  4. Multi-objective parametric optimization of powder mixed electro-discharge machining using response surface methodology and non-dominated sorting genetic algorithm

    Indian Academy of Sciences (India)

    Soumyakant Padhee; Niharranjan Nayak; S K Panda; P R Dhal; S S Mahapatra

    2012-04-01

    Powder mixed electro-discharge machining (EDM) is being widely used in modern metal working industry for producing complex cavities in dies and moulds which are otherwise difficult to create by conventional machining route. It has been experimentally demonstrated that the presence of suspended particle in dielectric fluid significantly increases the surface finish and machining efficiency of EDM process. Concentration of powder (silicon) in the dielectric fluid, pulse on time, duty cycle, and peak current are taken as independent variables on which the machining performance was analysed in terms of material removal rate (MRR) and surface roughness (SR). Experiments have been conducted on an EZNC fuzzy logic Die Sinking EDM machine manufactured by Electronica Machine Tools Ltd. India. A copper electrode having diameter of 25 mm is used to cut EN 31 steel for one hour in each trial. Response surface methodology (RSM) is adopted to study the effect of independent variables on responses and develop predictive models. It is desired to obtain optimal parameter setting that aims at decreasing surface roughness along with larger material removal rate. Since the responses are conflicting in nature, it is difficult to obtain a single combination of cutting parameters satisfying both the objectives in any one solution. Therefore, it is essential to explore the optimization landscape to generate the set of dominant solutions. Non-sorted genetic algorithm (NSGA) has been adopted to optimize the responses such that a set of mutually dominant solutions are found over a wide range of machining parameters.

  5. Application of GO Methodology on Reliability Research of CNC Machine Tool%GO法在数控机床可靠性研究中的应用

    Institute of Scientific and Technical Information of China (English)

    钟志万

    2012-01-01

    The traditional reliability analysis methods are primarily concerned with the description of static structure of system, and it is hard to use them to reflect the systems dynamic operational process. A new reliability analysis method-GO methodology was introduced into reliability research of CNC machine tool. Concrete steps of GO methodology were discussed. A GO diagram model for CNC machine tool ATC ( Automatic Tool Change) was founded. Based on the state probability formula of GO methodology, precise qualitative analysis and quantitative analysis were implemented for the ATC system. A revised algorithm for shared signals in the system was proposed. The usability and correctness of GO methodology in CNC machine tool reliability analysis were verified. Through comparing with characteristics of different methods, the characteristics and advantages of GO methodology were clarified.%传统可靠性分析方法侧重于系统静态结构的描述,难以反映系统的动态运行过程.将一种新的可靠性分析方法-GO法引入到数控机床可靠性研究中,阐述了GO法分析的具体步骤,建立了数控机床刀具交换系统的GO图模型,基于GO法状态概率公式对刀具交换系统进行了精确的定量分析和定向分析,给出了系统中共有信号的修正算法,验证了GO法在数控机床可靠性评价分析中的可用性与正确性.最后,通过对几种方法特点的比较,阐明了GO法的特点和优势.

  6. Application of response surface methodology on investigating flank wear in machining hardened steel using PVD TiN coated mixed ceramic insert

    Directory of Open Access Journals (Sweden)

    Ashok Kumar Sahoo

    2013-10-01

    Full Text Available The paper presents the development of flank wear model in turning hardened EN 24 steel with PVD TiN coated mixed ceramic insert under dry environment. The paper also investigates the effect of process parameter on flank wear (VBc. The experiments have been conducted using three level full factorial design techniques. The machinability model has been developed in terms of cutting speed (v, feed (f and machining time (t as input variable using response surface methodology. The adequacy of model has been checked using correlation coefficients. As the determination coefficient, R2 (98% is higher for the model developed; the better is the response model fits the actual data. In addition, residuals of the normal probability plot lie reasonably close to a straight line showing that the terms mentioned in the model are statistically significant. The predicted flank wear has been found to lie close to the experimental value. This indicates that the developed model can be effectively used to predict the flank wear in the hard turning. Abrasion and diffusion has been found to be the dominant wear mechanism in machining hardened steel from SEM micrographs at highest parametric range. Machining time has been found to be the most significant parameter on flank wear followed by cutting speed and feed as observed from main effect plot and ANOVA study.

  7. Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches.

    Science.gov (United States)

    Ließ, Mareike; Schmidt, Johannes; Glaser, Bruno

    2016-01-01

    Tropical forests are significant carbon sinks and their soils' carbon storage potential is immense. However, little is known about the soil organic carbon (SOC) stocks of tropical mountain areas whose complex soil-landscape and difficult accessibility pose a challenge to spatial analysis. The choice of methodology for spatial prediction is of high importance to improve the expected poor model results in case of low predictor-response correlations. Four aspects were considered to improve model performance in predicting SOC stocks of the organic layer of a tropical mountain forest landscape: Different spatial predictor settings, predictor selection strategies, various machine learning algorithms and model tuning. Five machine learning algorithms: random forests, artificial neural networks, multivariate adaptive regression splines, boosted regression trees and support vector machines were trained and tuned to predict SOC stocks from predictors derived from a digital elevation model and satellite image. Topographical predictors were calculated with a GIS search radius of 45 to 615 m. Finally, three predictor selection strategies were applied to the total set of 236 predictors. All machine learning algorithms-including the model tuning and predictor selection-were compared via five repetitions of a tenfold cross-validation. The boosted regression tree algorithm resulted in the overall best model. SOC stocks ranged between 0.2 to 17.7 kg m-2, displaying a huge variability with diffuse insolation and curvatures of different scale guiding the spatial pattern. Predictor selection and model tuning improved the models' predictive performance in all five machine learning algorithms. The rather low number of selected predictors favours forward compared to backward selection procedures. Choosing predictors due to their indiviual performance was vanquished by the two procedures which accounted for predictor interaction.

  8. Machines a Comprendre la Parole: Methodologie et Bilan de Recherche (Automatic Speech Recognition: Methodology and the State of the Research)

    Science.gov (United States)

    Haton, Jean-Pierre

    1974-01-01

    Still no decisive result has been achieved in the automatic machine recognition of sentences of a natural language. Current research concentrates on developing algorithms for syntactic and semantic analysis. It is obvious that clues from all levels of perception have to be taken into account if a long term solution is ever to be found. (Author/MSE)

  9. A level set methodology for predicting the effect of mask wear on surface evolution of features in abrasive jet micro-machining

    Science.gov (United States)

    Burzynski, T.; Papini, M.

    2012-07-01

    A previous implementation of narrow-band level set methodology developed by the authors was extended to allow for the modelling of mask erosive wear in abrasive jet micro-machining (AJM). The model permits the prediction of the surface evolution of both the mask and the target simultaneously, by representing them as a hybrid and continuous mask-target surface. The model also accounts for the change in abrasive mass flux incident to both the target surface and, for the first time, the eroding mask edge, that is brought about by the presence of the mask edge itself. The predictions of the channel surface and eroded mask profiles were compared with measurements on channels machined in both glass and poly-methyl-methacrylate (PMMA) targets at both normal and oblique incidence, using tempered steel and elastomeric masks. A much better agreement between the predicted and measured profiles was found when mask wear was taken into account. Mask wear generally resulted in wider and deeper glass target profiles and wider PMMA target profiles, respectively, when compared to cases where no mask wear was present. This work has important implications for the AJM of complex MEMS and microfluidic devices that require longer machining times.

  10. Experimental Investigation of Machining Parameters For Surface Roughness In High Speed CNC Turning of EN-24 Alloy Steel Using Response Surface Methodology

    Directory of Open Access Journals (Sweden)

    Puneet Saini

    2014-05-01

    Full Text Available Alloy Steel EN-24 (Medium Carbon Steel used in manufacturing of Automotive & aircraft components, Axles & Axles components, Shafts, Heavy duty Gears, Spindles, Studs, Pins, collets, bolts, couplings, sprockets, pinions & pinion arbors. Turning is the most common process used in manufacturing sector to produce smooth finish on cylindrical surfaces. Surface roughness is the important performance characteristics to be considered in the turning process is affected by several factors such as cutting tool material, spindle speed, feed rate, depth of cut and material properties. In this research Response surface methodology (RSM was applied to determine the optimum machining parameters leading to minimum surface roughness in turning process. The main purpose of this research is to study the effect of carbide inserts on EN-24 Alloy Steel surface by using three parameters (spindle speed, feed rate and depth of cut. This research was conducted by using 100 HS Stallion CNC Lathe machine. Seventeen sets of experiments were performed. In this work empirical models were developed for surface roughness by considering spindle speed, feed rate and depth of cut as main controlling factors using response surface methodology. The optimum value of the surface roughness (Ra comes out to be 0.48 µm. It is also concluded that feed rate is the most significant factor affecting surface roughness followed by depth of cut. As Cutting speed is the less significant factor affecting surface roughness. Optimum results are finally verified with the help of confirmation experiments. Keywords:

  11. Single-Machine Scheduling with Learning Effects and Maintenance: A Methodological Note on Some Polynomial-Time Solvable Cases

    Directory of Open Access Journals (Sweden)

    Kuo-Ching Ying

    2017-01-01

    Full Text Available This work addresses four single-machine scheduling problems (SMSPs with learning effects and variable maintenance activity. The processing times of the jobs are simultaneously determined by a decreasing function of their corresponding scheduled positions and the sum of the processing times of the already processed jobs. Maintenance activity must start before a deadline and its duration increases with the starting time of the maintenance activity. This work proposes a polynomial-time algorithm for optimally solving two SMSPs to minimize the total completion time and the total tardiness with a common due date.

  12. Practical aspects of the methodological apparatus of the innovation process’ rational organization as an example of machine-building enterprise

    Directory of Open Access Journals (Sweden)

    O.O. Karpishchenko

    2012-06-01

    Full Text Available The practical application of a methodological approach to the innovation process in the enterprise rational organization by the harmonization of market, production and innovation components is considered. Two alternative ways to transfer the company to the equilibrium state are proposed.

  13. The RADAR Test Methodology: Evaluating a Multi-Task Machine Learning System with Humans in the Loop

    Science.gov (United States)

    2006-10-01

    Learning System with Humans in the Loop 7 subject in the form of static web pages easily accessible from the subject’s home page (Figure 2, top and...middle). Other static web content included a conference planning manual (complete with documentation of standard task constraints), a PDF of the...that I can make arrangements! Thanks, you’re the best! Kim Figure 2. Static web and vendor portal examples The RADAR Test Methodology

  14. Machinability study on discontinuously reinforced aluminium composites (DRACs using response surface methodology and Taguchi’s design of experiments under dry cutting condition

    Directory of Open Access Journals (Sweden)

    Raviraj Shetty1

    2008-03-01

    Full Text Available The development of metal matrix composites with discontinuous reinforcement represents a well-established method for improving the strength and stiffness of a material. This paper discusses the use of Taguchi’s design of experiments and response surface methodology (RSM for minimising the surface roughness in turning of discontinuously reinforced aluminium composites (DRACs having aluminum alloy 6061 as the matrix and containing 15 vol. % of silicon carbide particles with a mean diameter of 25µm under dry cutting condition. The measured results are then collected and analysed with the help of a commercial software package MINITAB15. The experiments are conducted using Taguchi’s experimental design technique. The matrices of test conditions include cutting speed, feed rates and depth of cut. The effect of cutting parameters on surface roughness is evaluated and the optimum cutting condition for minimising the surface roughness is determined. A second-order model is established between the cutting parameters and the surface roughness using RSM. The experimental results reveal that the most significant machining parameter for surface roughness is feed, followed by cutting speed. The predicted values and measured values are fairly close, which indicates that the developed model can be effectively used to predict the surface roughness in the machining of DRACs.

  15. A statistical methodology to derive the scaling law for the H-mode power threshold using a large multi-machine database

    Science.gov (United States)

    Murari, A.; Lupelli, I.; Gaudio, P.; Gelfusa, M.; Vega, J.

    2012-06-01

    In this paper, a refined set of statistical techniques is developed and then applied to the problem of deriving the scaling law for the threshold power to access the H-mode of confinement in tokamaks. This statistical methodology is applied to the 2010 version of the ITPA International Global Threshold Data Base v6b(IGDBTHv6b). To increase the engineering and operative relevance of the results, only macroscopic physical quantities, measured in the vast majority of experiments, have been considered as candidate variables in the models. Different principled methods, such as agglomerative hierarchical variables clustering, without assumption about the functional form of the scaling, and nonlinear regression, are implemented to select the best subset of candidate independent variables and to improve the regression model accuracy. Two independent model selection criteria, based on the classical (Akaike information criterion) and Bayesian formalism (Bayesian information criterion), are then used to identify the most efficient scaling law from candidate models. The results derived from the full multi-machine database confirm the results of previous analysis but emphasize the importance of shaping quantities, elongation and triangularity. On the other hand, the scaling laws for the different machines and at different currents are different from each other at the level of confidence well above 95%, suggesting caution in the use of the global scaling laws for both interpretation and extrapolation purposes.

  16. Advanced analytical methodologies for measuring healthy ageing and its determinants, using factor analysis and machine learning techniques: the ATHLOS project

    Science.gov (United States)

    Félix Caballero, Francisco; Soulis, George; Engchuan, Worrawat; Sánchez-Niubó, Albert; Arndt, Holger; Ayuso-Mateos, José Luis; Haro, Josep Maria; Chatterji, Somnath; Panagiotakos, Demosthenes B.

    2017-01-01

    A most challenging task for scientists that are involved in the study of ageing is the development of a measure to quantify health status across populations and over time. In the present study, a Bayesian multilevel Item Response Theory approach is used to create a health score that can be compared across different waves in a longitudinal study, using anchor items and items that vary across waves. The same approach can be applied to compare health scores across different longitudinal studies, using items that vary across studies. Data from the English Longitudinal Study of Ageing (ELSA) are employed. Mixed-effects multilevel regression and Machine Learning methods were used to identify relationships between socio-demographics and the health score created. The metric of health was created for 17,886 subjects (54.6% of women) participating in at least one of the first six ELSA waves and correlated well with already known conditions that affect health. Future efforts will implement this approach in a harmonised data set comprising several longitudinal studies of ageing. This will enable valid comparisons between clinical and community dwelling populations and help to generate norms that could be useful in day-to-day clinical practice. PMID:28281663

  17. A response surface methodology and desirability approach for predictive modeling and optimization of cutting temperature in machining hardened steel

    Directory of Open Access Journals (Sweden)

    Ashok Kumar Sahoo

    2014-06-01

    Full Text Available This paper presents an experimental investigation on cutting temperature during hard turning of EN 24 steel (50 HRC using TiN coated carbide insert under dry environment. The prediction model is developed using response surface methodology and optimization of process parameter is performed by desirability approach. A stiff rise in cutting temperature is noticed when feed and cutting speed are elevated. The effect of depth of cut on cutting temperature is not that much significant compared with cutting speed and feed as observed from main effects plot. The response surface second order model presented high correlation coefficient (R2 = 0.992 explaining 99.2 % of the variability in the cutting temperature which indicates the goodness of fit for the model to the actual data and high statistical significance of the model. The experimental and predicted values are very close to each other. The calculated error for cutting temperature lies between 1.88-3.19 % during confirmation trial. Therefore, the developed second order model correlates the relationship of the cutting temperature with the process parameters with good degree of approximation. The optimal combination for process parameter is depth of cut at 0.2mm, feed of 0.1597 mm/rev and cutting speed of 70m/min. Based on these combination, the value of cutting temperature is 302.950C whose desirability is one.

  18. To the question of formation the quality management system of activity on the example of machine-building enterprises of the Vinnytsia region

    Directory of Open Access Journals (Sweden)

    M.V. Balzan

    2016-04-01

    Full Text Available On the example of machine-building enterprises of Vinnytsia region the character and features of their activities are analyzed, as well as conclusions regarding instability and inefficiency of the work effectiveness. Analysis and grouping of enterprises on selected attributes made possible to clarify the nature of the major economic and business indicators in each group, which facilitated the study of relations between the general management systems and content of quality management systems of activity at enterprises and confirmed the direct interdependence between the content and efficiency of these management systems, the efficiency of the quality management and the state of enterprises. The list of indicators of the quality management system of activity is proposed. For each of them number of quality indicators, which are affected by the form (way quality management of activity, is formed. The relationship of indicators of quality management system with the classification features that allows to create a profile of the quality management system is realized in a table. It is concluded about the possibility of using the proposed classification system as an intellectual component of the program decision making support in the formation of the profile of the quality management system of activity.

  19. SU-D-204-01: A Methodology Based On Machine Learning and Quantum Clustering to Predict Lung SBRT Dosimetric Endpoints From Patient Specific Anatomic Features

    Energy Technology Data Exchange (ETDEWEB)

    Lafata, K; Ren, L; Wu, Q; Kelsey, C; Hong, J; Cai, J; Yin, F [Duke University Medical Center, Durham, NC (United States)

    2016-06-15

    Purpose: To develop a data-mining methodology based on quantum clustering and machine learning to predict expected dosimetric endpoints for lung SBRT applications based on patient-specific anatomic features. Methods: Ninety-three patients who received lung SBRT at our clinic from 2011–2013 were retrospectively identified. Planning information was acquired for each patient, from which various features were extracted using in-house semi-automatic software. Anatomic features included tumor-to-OAR distances, tumor location, total-lung-volume, GTV and ITV. Dosimetric endpoints were adopted from RTOG-0195 recommendations, and consisted of various OAR-specific partial-volume doses and maximum point-doses. First, PCA analysis and unsupervised quantum-clustering was used to explore the feature-space to identify potentially strong classifiers. Secondly, a multi-class logistic regression algorithm was developed and trained to predict dose-volume endpoints based on patient-specific anatomic features. Classes were defined by discretizing the dose-volume data, and the feature-space was zero-mean normalized. Fitting parameters were determined by minimizing a regularized cost function, and optimization was performed via gradient descent. As a pilot study, the model was tested on two esophageal dosimetric planning endpoints (maximum point-dose, dose-to-5cc), and its generalizability was evaluated with leave-one-out cross-validation. Results: Quantum-Clustering demonstrated a strong separation of feature-space at 15Gy across the first-and-second Principle Components of the data when the dosimetric endpoints were retrospectively identified. Maximum point dose prediction to the esophagus demonstrated a cross-validation accuracy of 87%, and the maximum dose to 5cc demonstrated a respective value of 79%. The largest optimized weighting factor was placed on GTV-to-esophagus distance (a factor of 10 greater than the second largest weighting factor), indicating an intuitively strong

  20. Question-Asking and Question-Exploring

    Science.gov (United States)

    Sands, Lorraine; Carr, Margaret; Lee, Wendy

    2012-01-01

    The Centre of Innovation Research at Greerton Early Childhood Centre was characterised as a dispositional milieu where working theories were explored through a narrative research methodology. As the research progressed, the teachers at Greerton strengthened the way we were listening to, and watching out for young children's questions to enable…

  1. 航空薄壁弧形框加工变形控制方法研究%Research on machining deformation control methodology for thin-wall arc shaped frame

    Institute of Scientific and Technical Information of China (English)

    林勇; 罗育果; 汤立民

    2012-01-01

    The deformation of aeronautical component in CNC machining is a bottle-neck issue in aviation industry.Based on analysis of machining deformation principle ,a new machining deformation control methodology,which applies removing perpetual deformation,controlling machining stresses,loading preliminary stresses and rolling straightening synthetically,is proposed in it.The method has been applied in machining a thin-wall arc shaped in a large aircraft manufacturer of china,which result shows that this method is practical.%航空结构件在数控铣削加工过程中的加工变形问题是航空制造领域的共性难题.通过分析零件加工变形机理,综合运用塑性变形消除、加工应力控制、预应力装夹、滚碾校正,形成了一整套加工变形控制方法.该方法已在国内某大型航空企业航空薄壁弧形框数控加工中取得了良好的应用效果.

  2. Questioning Techniques.

    Science.gov (United States)

    Patterson, Michelle

    1999-01-01

    Questions are so much a part of the classroom routine and they should stimulate learning and thinking. Introduces the Questioning and Understanding to Improve Learning and Thinking (QUILT) method which incorporates Bloom's Taxonomy and wait time. (ASK)

  3. Machine Intelligence and Explication

    NARCIS (Netherlands)

    Wieringa, Roelf J.

    1987-01-01

    This report is an MA ("doctoraal") thesis submitted to the department of philosophy, university of Amsterdam. It attempts to answer the question whether machines can think by conceptual analysis. Ideally. a conceptual analysis should give plausible explications of the concepts of "machine" and "inte

  4. Machine Intelligence and Explication

    NARCIS (Netherlands)

    Wieringa, Roel

    1987-01-01

    This report is an MA ("doctoraal") thesis submitted to the department of philosophy, university of Amsterdam. It attempts to answer the question whether machines can think by conceptual analysis. Ideally. a conceptual analysis should give plausible explications of the concepts of "machine" and "inte

  5. 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.

  6. Cuestiones pendientes en la metodología PIMS: un breve recuento Pending question about the PIMS methodology: a brief account

    Directory of Open Access Journals (Sweden)

    Rubén M. Mosqueda Almanza

    2010-06-01

    Full Text Available Se asume que una estrategia adecuada impactara positivamente las ganancias de la empresa y le llevara a expandirse. Recientes descubrimientos sugieren que solo con la revisión y adecuación de los elementos mas relevantes del plan estratégico es posible llevar los resultados económicos de la empresa a un punto optimo. La metodología PIMS (que se traduce como Impacto de la Estrategia de Marketing sobre las Ganancias constituye un modelo para lograrlo, sin embargo, subsisten problemas fundamentales en el mismo modelo que lo limitan. Así, en el presente trabajo se hace un estudio exploratorio y se muestra la evolución de la metodología PIMS lo cual permite desvelar los retos y el posible rumbo del tema. La definición de la estrategia, el diseño de la encuesta tipo PIMS, los problemas de multicolinearidad y el efecto de la participación de mercado se plantean como los mas relevantes. Los resultados muestran la necesidad de definir con precisión la estrategia asumida por la empresa, el rediseño de la encuesta PIMS cuando se aplique a mercados incompletos y finalmente, se advierte un avance en el estudio econométrico sobre la metodología PIMS con énfasis en la variable Calidad Relativa del Producto para resolver el viejo dilema del efecto de la participación de mercado.We can assume that an appropriate strategy will have a positive impact on profits and it will contribute to having a company’s market share grow. Recent findings suggest that only the adaptation of a strategic plan can bring a company to perform at optimum levels. PIMS is an archetypical model to achieve that, but fundamental problems remain that limit it. This paper shows the evolution of the PIMS methodology and reveals its challenges and possible development. The adequate definition of this strategy, the redesign of the questionnaire PIMS, problems of Multicollinearity and the Market Share Effect would be the most relevant problems that this paper will address. The

  7. Curiosity Questions

    Science.gov (United States)

    Nelsen, Jane; DeLorenzo, Chip

    2010-01-01

    Have you ever found yourself lecturing a child, with the best of intentions, in an attempt to help him or her learn a lesson or process a situation in a manner that you feel will be productive? Curiosity questions, which the authors also call What and How questions, help children process an experience, event, or natural consequence so that they…

  8. 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)

  9. Asking the Right Questions

    DEFF Research Database (Denmark)

    Richter, Line

    are part of everyday life, children are often the most vulnerable. The project was carried out to shed light on mainly two types of diseases - malaria and diarrheal diseases - that strike children. In practice the academic backgrounds of the researchers played a role in the methodological approach...... to the field. By emphasizing the logos in methodology this paper wishes to underscore that where anthropology sets itself apart from public health is, among other, in the way anthropologists think about method and how this affects fieldwork practices as well as analyses. By tracing two concepts, hygiene......, is the ability to move beyond even the best hidden assumptions and question our own questions, thereby enabling us to ask the right questions....

  10. 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...

  11. Discussion on Methodologies for QC Testing of Hemodialysis Machines and Relevant Problems%血液透析机质控检测方法及问题探讨

    Institute of Scientific and Technical Information of China (English)

    武振虎

    2015-01-01

    With deployment of the testing instrument for QC (Quality Control) of hemodialysis machines, 42 hemodialysis machines in the hospital were tested from 7 aspects including the temperature, conductivity and flow volume of dialyzate as well as the flow rate of the heparin pump. This paper expounded the signiifcance, methodology and results of QC testing of hemodialysis machines and put forward the existing problems and relevant solutions.%使用血液透析机质控检测仪,对我院42台血液透析机的透析液温度及电导率、透析液流量及肝素泵流速等7个项目进行了检测,本文对质控检测的意义、方法、检测结果,以及对发现的问题和解决办法进行了阐述。

  12. Machining dynamics fundamentals, applications and practices

    CERN Document Server

    Cheng, Kai

    2008-01-01

    Machining dynamics are vital to the performance of machine tools and machining processes in manufacturing. This book discusses the state-of-the-art applications, practices and research in machining dynamics. It presents basic theory, analysis and control methodology. It is useful for manufacturing engineers, supervisors, engineers and designers.

  13. Application of support vector machines to 1H NMR data of fish oils: methodology for the confirmation of wild and farmed salmon and their origins.

    Science.gov (United States)

    Masoum, Saeed; Malabat, Christophe; Jalali-Heravi, Mehdi; Guillou, Claude; Rezzi, Serge; Rutledge, Douglas Neil

    2007-02-01

    Support vector machines (SVMs) were used as a novel learning machine in the authentication of the origin of salmon. SVMs have the advantage of relying on a well-developed theory and have already proved to be successful in a number of practical applications. This paper provides a new and effective method for the discrimination between wild and farm salmon and eliminates the possibility of fraud through misrepresentation of the country of origin of salmon. The method requires a very simple sample preparation of the fish oils extracted from the white muscle of salmon samples. (1)H NMR spectroscopic analysis provides data that is very informative for analysing the fatty acid constituents of the fish oils. The SVM has been able to distinguish correctly between the wild and farmed salmon; however ca. 5% of the country of origins were misclassified.

  14. Thousand Questions

    DEFF Research Database (Denmark)

    Soon, Winnie; Pritchard, Helen

    2016-01-01

    In this work the network asks “If I wrote you a love letter would you write back?” Like the love letters which appeared mysteriously on the noticeboards of Manchester University’s Computer Department in the 1950s, thousands of texts circulate as computational processes perform the questions...... (perhaps as an expanded Turing test) on its listeners. These questions are extracted in real-time from Twitter with the keyword search of the ‘?’ symbol to create a spatio-temporal experience. The computerized voice the audience hears is a collective one, an entanglement of humans and non...

  15. Machine learning in motion control

    Science.gov (United States)

    Su, Renjeng; Kermiche, Noureddine

    1989-01-01

    The existing methodologies for robot programming originate primarily from robotic applications to manufacturing, where uncertainties of the robots and their task environment may be minimized by repeated off-line modeling and identification. In space application of robots, however, a higher degree of automation is required for robot programming because of the desire of minimizing the human intervention. We discuss a new paradigm of robotic programming which is based on the concept of machine learning. The goal is to let robots practice tasks by themselves and the operational data are used to automatically improve their motion performance. The underlying mathematical problem is to solve the problem of dynamical inverse by iterative methods. One of the key questions is how to ensure the convergence of the iterative process. There have been a few small steps taken into this important approach to robot programming. We give a representative result on the convergence problem.

  16. Machine learning in motion control

    Science.gov (United States)

    Su, Renjeng; Kermiche, Noureddine

    1989-01-01

    The existing methodologies for robot programming originate primarily from robotic applications to manufacturing, where uncertainties of the robots and their task environment may be minimized by repeated off-line modeling and identification. In space application of robots, however, a higher degree of automation is required for robot programming because of the desire of minimizing the human intervention. We discuss a new paradigm of robotic programming which is based on the concept of machine learning. The goal is to let robots practice tasks by themselves and the operational data are used to automatically improve their motion performance. The underlying mathematical problem is to solve the problem of dynamical inverse by iterative methods. One of the key questions is how to ensure the convergence of the iterative process. There have been a few small steps taken into this important approach to robot programming. We give a representative result on the convergence problem.

  17. Critical Questions.

    Science.gov (United States)

    Worthy, Jo; Hoffman, James V.

    1998-01-01

    Offers responses from four readers of this journal, all reading and/or classroom teachers, to a question posed by another teacher: whether children who have had limited literacy experiences should start reading in whole-language readers and/or trade books or whether they should start in controlled-vocabulary preprimers. (SR)

  18. Thousand Questions

    DEFF Research Database (Denmark)

    2012-01-01

    (perhaps as an expanded Turing test) on its listeners. These questions are extracted in real-time from Twitter with the keyword search of the ‘?’ symbol to create a spatio-temporal experience. The computerized voice the audience hears is a collective one, an entanglement of humans and non...

  19. My Questions

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    I have many questions.I think hard and cannot find the answers.I wonder what the world is in reality.Is there any answer to the mystery of the world?I ask what it is like to be outside the earth.Are there any people on other planets1?How many planets are there in the universe?I wonder a lot about this and that.

  20. Language Policy and Methodology

    Science.gov (United States)

    Liddicoat, Antony J.

    2004-01-01

    The implementation of a language policy is crucially associated with questions of methodology. This paper explores approaches to language policy, approaches to methodology and the impact that these have on language teaching practice. Language policies can influence decisions about teaching methodologies either directly, by making explicit…

  1. Storytelling machines for video search

    NARCIS (Netherlands)

    Habibian, A.

    2016-01-01

    We study a fundamental question for developing storytelling machines: what vocabulary is suited for machines to tell the story of a video? We start by manually specifying the vocabulary concepts and their annotations. In order to effectively handcraft the vocabulary, we empirically study what are

  2. Storytelling machines for video search

    NARCIS (Netherlands)

    Habibian, A.

    2016-01-01

    We study a fundamental question for developing storytelling machines: what vocabulary is suited for machines to tell the story of a video? We start by manually specifying the vocabulary concepts and their annotations. In order to effectively handcraft the vocabulary, we empirically study what are th

  3. Storytelling machines for video search

    NARCIS (Netherlands)

    Habibian, A.

    2016-01-01

    We study a fundamental question for developing storytelling machines: what vocabulary is suited for machines to tell the story of a video? We start by manually specifying the vocabulary concepts and their annotations. In order to effectively handcraft the vocabulary, we empirically study what are th

  4. The Answer Machine.

    Science.gov (United States)

    Feldman, Susan

    2000-01-01

    Discusses information retrieval systems and the need to have them adapt to user needs, integrate information in any format, reveal patterns and trends in information, and answer questions. Topics include statistics and probability; natural language processing; intelligent agents; concept mapping; machine-aided indexing; text mining; filtering;…

  5. Machine learning in virtual screening.

    Science.gov (United States)

    Melville, James L; Burke, Edmund K; Hirst, Jonathan D

    2009-05-01

    In this review, we highlight recent applications of machine learning to virtual screening, focusing on the use of supervised techniques to train statistical learning algorithms to prioritize databases of molecules as active against a particular protein target. Both ligand-based similarity searching and structure-based docking have benefited from machine learning algorithms, including naïve Bayesian classifiers, support vector machines, neural networks, and decision trees, as well as more traditional regression techniques. Effective application of these methodologies requires an appreciation of data preparation, validation, optimization, and search methodologies, and we also survey developments in these areas.

  6. Machine performance assessment and enhancement for a hexapod machine

    Energy Technology Data Exchange (ETDEWEB)

    Mou, J.I. [Arizona State Univ., Tempe, AZ (United States); King, C. [Sandia National Labs., Livermore, CA (United States). Integrated Manufacturing Systems Center

    1998-03-19

    The focus of this study is to develop a sensor fused process modeling and control methodology to model, assess, and then enhance the performance of a hexapod machine for precision product realization. Deterministic modeling technique was used to derive models for machine performance assessment and enhancement. Sensor fusion methodology was adopted to identify the parameters of the derived models. Empirical models and computational algorithms were also derived and implemented to model, assess, and then enhance the machine performance. The developed sensor fusion algorithms can be implemented on a PC-based open architecture controller to receive information from various sensors, assess the status of the process, determine the proper action, and deliver the command to actuators for task execution. This will enhance a hexapod machine`s capability to produce workpieces within the imposed dimensional tolerances.

  7. 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.

  8. 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.

  9. Where to Go:Methodology of Sport Sciences ?Ten Directions and Three Questions%体育科学研究方法向何处去?十个趋向与三个问题

    Institute of Scientific and Technical Information of China (English)

    张力为; 张凯

    2013-01-01

    以重要学术期刊的论文、会议主题报告及学位论文为例,总结出两大类10小类重要的研究方法走向。研究思路的走向包括从数据驱动走向理论建构,从描述、预测走向解释、控制(从相关关系到因果关系,从现象描述过渡到机制探索),从实验室实验走向现场实验,从单一方法走向混合方法,从小数据走向大数据。研究手段的走向包括从单一研究走向系列研究,从叙事性文献综述走向元分析,从简单技术统计走向高级技术统计,从只报告显著性走向同时报告效果量和置信区间,从两组差异走向剂量效应。最后,提出并讨论了与体育科学研究方法相关的3个问题:体育科学研究方法课程的首要目标是什么?体育科学研究者亟需解决的方法问题是什么?体育科学学术刊物的论文发表政策应如何引领体育科学的走向?%Ten methodology trends in two categories were summarized from papers published in important journals ,keynote presentations of conferences and degree papers .Trends in research approaches included from data driven research to theory driven research ,from description and prediction to explanation and control (from correlational relationship to causal relationship ,from phenomenon to mechanism ) ,from lab studies to field studies ,from uni-method to mixed meth-od ,from small data to big data .T rends in research techniques included from single study to multi-studies ,from narrative research review to meta -analysis ,from simple statistics to multivari-ate statistics ,from reporting only significant level to reporting both significant level and effect size and confidence interval ,from two group difference test to dose effect test .Then raised and discussed were three questions related to methodology of sport sciences :What is the primary goal of curriculum of sport science method?What is the most urgent method problem sport science re

  10. Discussion of the question on the cooked food of vacuum PRE-cooling machine%熟食品真空预冷机标准问题的论述

    Institute of Scientific and Technical Information of China (English)

    范磊; 李保国; 苏树强; 雷海斌

    2012-01-01

    首先对熟食品真空预冷的理论意义、实践意义以及国内外的研究现状进行论述;其次对开发熟食品真空预冷机过程中需要解决的难题、主要技术指标进行说明;再次通过对国内的食品标准发展环境的阐述解释了制定熟食品真空预冷机标准的必要性;第四是对拟定的熟食品真空预冷机标准所包括主要内容的描述;最后对熟食品真空预冷机标准的发展前景进行展望。%This article first discussed the cooked food's vacuum rapid cooling of the theoretical and practical significance and research status at home and abroad.Second,the problems of the development process of the cooked food rapid cooling machines,the major technical indicators were explained.Once again on talking domestic food standards development environment to explain developping cold cooked food vacuum machine standards was necessary.Fourth was the pre-cooling of cooked food vacuum machine standards' main content's description.Finally,the vacuum pre-cooling machine cooked food standards and future development.

  11. Machine shop basics

    CERN Document Server

    Miller, Rex

    2004-01-01

    Use the right tool the right wayHere, fully updated to include new machines and electronic/digital controls, is the ultimate guide to basic machine shop equipment and how to use it. Whether you're a professional machinist, an apprentice, a trade student, or a handy homeowner, this fully illustrated volume helps you define tools and use them properly and safely. It's packed with review questions for students, and loaded with answers you need on the job.Mark Richard Miller is a Professor and Chairman of the Industrial Technology Department at Texas A&M University in Kingsville, T

  12. VEM: Virtual Enterprise Methodology

    DEFF Research Database (Denmark)

    Tølle, Martin; Vesterager, Johan

    2003-01-01

    This chapter presents a virtual enterprise methodology (VEM) that outlines activities to consider when setting up and managing virtual enterprises (VEs). As a methodology the VEM helps companies to ask the right questions when preparing for and setting up an enterprise network, which works...

  13. VEM: Virtual Enterprise Methodology

    DEFF Research Database (Denmark)

    Tølle, Martin; Vesterager, Johan

    2003-01-01

    This chapter presents a virtual enterprise methodology (VEM) that outlines activities to consider when setting up and managing virtual enterprises (VEs). As a methodology the VEM helps companies to ask the right questions when preparing for and setting up an enterprise network, which works as a b...

  14. 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

  15. Learning to rank for why-question answering

    NARCIS (Netherlands)

    Verberne, S.; Halteren, H. van; Theijssen, D.; Raaijmakers, S.A.; Boves, L.

    2011-01-01

    In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivated features that characterize questions and answers. We experiment with a number of machine learning techniques (among

  16. Machine Learning for Security

    CERN Document Server

    CERN. Geneva

    2015-01-01

    Applied statistics, aka ‘Machine Learning’, offers a wealth of techniques for answering security questions. It’s a much hyped topic in the big data world, with many companies now providing machine learning as a service. This talk will demystify these techniques, explain the math, and demonstrate their application to security problems. The presentation will include how-to’s on classifying malware, looking into encrypted tunnels, and finding botnets in DNS data. About the speaker Josiah is a security researcher with HP TippingPoint DVLabs Research Group. He has over 15 years of professional software development experience. Josiah used to do AI, with work focused on graph theory, search, and deductive inference on large knowledge bases. As rules only get you so far, he moved from AI to using machine learning techniques identifying failure modes in email traffic. There followed digressions into clustered data storage and later integrated control systems. Current ...

  17. 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.

  18. Empirical Study on Deep Learning Models for Question Answering

    OpenAIRE

    Yu, Yang; Zhang, Wei; Hang, Chung-Wei; Xiang, Bing; Zhou, Bowen

    2015-01-01

    In this paper we explore deep learning models with memory component or attention mechanism for question answering task. We combine and compare three models, Neural Machine Translation, Neural Turing Machine, and Memory Networks for a simulated QA data set. This paper is the first one that uses Neural Machine Translation and Neural Turing Machines for solving QA tasks. Our results suggest that the combination of attention and memory have potential to solve certain QA problem.

  19. Design Methodology for Automated Construction Machines

    Science.gov (United States)

    1987-12-11

    positioning of structural members, and tunneling [3,5]. U.S. construction firms typically allocate little or no funding for R & D; progress to date...addition, four general purpose robots for building construction tasks [1] and the automation of sandblasting and concrete formwork cleaning have been

  20. Challenges for coexistence of machine to machine and human to human applications in mobile network

    DEFF Research Database (Denmark)

    Sanyal, R.; Cianca, E.; Prasad, Ramjee

    2012-01-01

    be evolved to address various nuances of the mobile devices used by man and machines. The bigger question is as follows. Is the state-of-the-art mobile network designed optimally to cater both the Human-to-Human and Machine-to-Machine applications? This paper presents the primary challenges...

  1. The Machine within the Machine

    CERN Multimedia

    Katarina Anthony

    2014-01-01

    Although Virtual Machines are widespread across CERN, you probably won't have heard of them unless you work for an experiment. Virtual machines - known as VMs - allow you to create a separate machine within your own, allowing you to run Linux on your Mac, or Windows on your Linux - whatever combination you need.   Using a CERN Virtual Machine, a Linux analysis software runs on a Macbook. When it comes to LHC data, one of the primary issues collaborations face is the diversity of computing environments among collaborators spread across the world. What if an institute cannot run the analysis software because they use different operating systems? "That's where the CernVM project comes in," says Gerardo Ganis, PH-SFT staff member and leader of the CernVM project. "We were able to respond to experimentalists' concerns by providing a virtual machine package that could be used to run experiment software. This way, no matter what hardware they have ...

  2. The Deflection Question

    Science.gov (United States)

    Greenberg, A. H.; Nesvold, E.; van Heerden, E.; Erasmus, N.; Marchis, F.

    2016-12-01

    On 15 February, 2013, a 15 m diameter asteroid entered the Earth's atmosphere over Russia. The resulting shockwave injured nearly 1500 people, and incurred 33 million (USD) in infrastructure damages. The Chelyabinsk meteor served as a forceful demonstration of the threat posed to Earth by the hundreds of potentially hazardous objects (PHOs) that pass near the Earth every year. Although no objects have yet been discovered on an impact course for Earth, an impact is virtually statistically guaranteed at some point in the future. While many impactor deflection technologies have been proposed, humanity has yet to demonstrate the ability to divert an impactor when one is found. Developing and testing any single proposed technology will require significant research time and funding. This leaves open an obvious question - towards which technologies should funding and research be directed, in order to maximize our preparedness for when an impactor is eventually found? To help answer this question, we have created a detailed framework for analyzing various deflection technologies and their effectiveness. Using an n-body integrator (REBOUND), we have simulated the attempted deflections of a population of Earth-impacting objects with a variety of velocity perturbations (∂Vs), and measured the effects that these perturbations had on impact probability. We then mapped the ∂Vs applied in the orbital simulations to the technologies capable of achieving those perturbations, and analyzed which set of technologies would be most effective at preventing a PHO from impacting the earth. As a final step, we used the results of these simulations to train a machine learning algorithm. This algorithm, combined with a simulated PHO population, can predict which technologies are most likely to be needed. The algorithm can also reveal which impactor observables (mass, spin, orbit, etc.) have the greatest effect on the choice of deflection technology. These results can be used as a tool to

  3. Machine Learning

    CERN Document Server

    CERN. Geneva

    2017-01-01

    Machine learning, which builds on ideas in computer science, statistics, and optimization, focuses on developing algorithms to identify patterns and regularities in data, and using these learned patterns to make predictions on new observations. Boosted by its industrial and commercial applications, the field of machine learning is quickly evolving and expanding. Recent advances have seen great success in the realms of computer vision, natural language processing, and broadly in data science. Many of these techniques have already been applied in particle physics, for instance for particle identification, detector monitoring, and the optimization of computer resources. Modern machine learning approaches, such as deep learning, are only just beginning to be applied to the analysis of High Energy Physics data to approach more and more complex problems. These classes will review the framework behind machine learning and discuss recent developments in the field.

  4. LANGUAGE POLICY AND METHODOLOGY

    Directory of Open Access Journals (Sweden)

    Antony J. Liddicoat

    2004-06-01

    Full Text Available The implementation of a language policy is crucially associated with questions of methodology. This paper explores approaches to language policy, approaches to methodology and the impact that these have on language teaching practice. Language policies can influence decisions about teaching methodologies either directly, by making explicit recommendations about the methods to be used in classroom practice, or indirectly, through the conceptualisation of language leaming which underlies the policy. It can be argued that all language policies have the potential to influence teaching methodologies indirectly and that those policies which have explicit recommendations about methodology are actually functioning of two levels. This allows for the possibility of conflict between the direct and indirect dimensions of the policy which results from an inconsistency between the explicitly recommended methodology and the underlying conceptualisation of language teaching and learning which informs the policy.

  5. STEP based Finish Machining CAPP system

    OpenAIRE

    A Arivazhagan; Mehta, NK; Jain, PK

    2012-01-01

    This research paper presents various methodologies developed in a STEP based Computer Aided Process Planning (CAPP) system named "Finish Machining – CAPP" (FM-CAPP). It is developed to generate automatic process plans for finish machining prismatic parts. It is designed in a modular fashion consisting of three main modules, namely (i) Feature Recognition module (FRM) (ii) Machining Planning Module (MPM) and (iii) Setup Planning Module (SPM). The FRM Module analyses the geometrical and topolog...

  6. Clustering Categories in Support Vector Machines

    DEFF Research Database (Denmark)

    Carrizosa, Emilio; Nogales-Gómez, Amaya; Morales, Dolores Romero

    2017-01-01

    The support vector machine (SVM) is a state-of-the-art method in supervised classification. In this paper the Cluster Support Vector Machine (CLSVM) methodology is proposed with the aim to increase the sparsity of the SVM classifier in the presence of categorical features, leading to a gain in in...

  7. Machine Learning

    Energy Technology Data Exchange (ETDEWEB)

    Chikkagoudar, Satish; Chatterjee, Samrat; Thomas, Dennis G.; Carroll, Thomas E.; Muller, George

    2017-04-21

    The absence of a robust and unified theory of cyber dynamics presents challenges and opportunities for using machine learning based data-driven approaches to further the understanding of the behavior of such complex systems. Analysts can also use machine learning approaches to gain operational insights. In order to be operationally beneficial, cybersecurity machine learning based models need to have the ability to: (1) represent a real-world system, (2) infer system properties, and (3) learn and adapt based on expert knowledge and observations. Probabilistic models and Probabilistic graphical models provide these necessary properties and are further explored in this chapter. Bayesian Networks and Hidden Markov Models are introduced as an example of a widely used data driven classification/modeling strategy.

  8. Foreign language didactics: Identity questions

    OpenAIRE

    Michaela Píšová

    2011-01-01

    The efforts to emancipate foreign language didactics have been an ongoingand non-linear process launched in our country in the 50s of the previous century.Its key aspects may be presented as foreign language didactics identity questions.These include explicit delineation of the object and methodology of foreign languagedidactics on the basis of developmental analysis, current state of knowledge andtrends/approaches to the discipline. The issues related to the full-fledged scientificstatus of ...

  9. Neuropsychological assessment of executive functions: methodological questions / Avaliação neuropsicológica das funções executivas: considerações metodológicas

    Directory of Open Access Journals (Sweden)

    Amer Cavalheiro Hamdan

    2009-01-01

    Full Text Available The article aims to review methodological and conceptual issues related to neuropsychological assessment of executive functions. The main limitations and dichotomies of current studies related to executive functions are presented and the importance of theoretical support to validate the instruments and their clinical interpretation are discussed. There is still the need of additional evidences on executive functions that allow a complete understanding of all the processes involved. Finally, it is suggested the adoption of a specific model that may guide the study of the executive functions.

  10. 8 Questions About the Conscious Mind

    NARCIS (Netherlands)

    Dooremalen, A.J.P.W.

    2014-01-01

    Can the mind function separately from the brain? Can machines have conscious minds? Is Google Maps part of the conscious mind? Hans Dooremalen provides answers to these three and five other questions about the conscious mind in an easy to read introduction to the philosophy of mind.

  11. Machine testning

    DEFF Research Database (Denmark)

    De Chiffre, Leonardo

    This document is used in connection with a laboratory exercise of 3 hours duration as a part of the course GEOMETRICAL METROLOGY AND MACHINE TESTING. The exercise includes a series of tests carried out by the student on a conventional and a numerically controled lathe, respectively. This document...

  12. Representational Machines

    DEFF Research Database (Denmark)

    Petersson, Dag; Dahlgren, Anna; Vestberg, Nina Lager

    to the enterprises of the medium. This is the subject of Representational Machines: How photography enlists the workings of institutional technologies in search of establishing new iconic and social spaces. Together, the contributions to this edited volume span historical epochs, social environments, technological...

  13. Abstract quantum computing machines and quantum computational logics

    Science.gov (United States)

    Chiara, Maria Luisa Dalla; Giuntini, Roberto; Sergioli, Giuseppe; Leporini, Roberto

    2016-06-01

    Classical and quantum parallelism are deeply different, although it is sometimes claimed that quantum Turing machines are nothing but special examples of classical probabilistic machines. We introduce the concepts of deterministic state machine, classical probabilistic state machine and quantum state machine. On this basis, we discuss the question: To what extent can quantum state machines be simulated by classical probabilistic state machines? Each state machine is devoted to a single task determined by its program. Real computers, however, behave differently, being able to solve different kinds of problems. This capacity can be modeled, in the quantum case, by the mathematical notion of abstract quantum computing machine, whose different programs determine different quantum state machines. The computations of abstract quantum computing machines can be linguistically described by the formulas of a particular form of quantum logic, termed quantum computational logic.

  14. Foreign language didactics: Identity questions

    Directory of Open Access Journals (Sweden)

    Michaela Píšová

    2011-06-01

    Full Text Available The efforts to emancipate foreign language didactics have been an ongoingand non-linear process launched in our country in the 50s of the previous century.Its key aspects may be presented as foreign language didactics identity questions.These include explicit delineation of the object and methodology of foreign languagedidactics on the basis of developmental analysis, current state of knowledge andtrends/approaches to the discipline. The issues related to the full-fledged scientificstatus of foreign language didactics are discussed both on a domain-general level(questions relevant for the whole field of subject didactics and on a domain-specificlevel (foreign language didactics specific questions.

  15. Macchines per scoprire - Discovery Machines

    CERN Multimedia

    Auditorium, Rome

    2016-01-01

    During the FCC week 2016 a public event entitled “Discovery Machines: The Higgs Boson and the Search for New Physics took place on 14 April at the Auditorium in Rome. The event, brought together physicists and experts from economics to discuss intriguing questions on the origin and evolution of the Universe and the societal impact of large-scale research projects.

  16. Dimensioning, Tolerancing, and Machine Finishes.

    Science.gov (United States)

    Adams, George C.

    Intended for use with the vocational education student interested in technical drawing, this guide provides answers to questions relating to dimensioning and tolerancing machine drawings. It also gives examples of standard dimensioning practices, tolerancing applications, and finish applications. The problems and examples presented are based on…

  17. Machinic Deconstruction : literature/ politics/ technics

    NARCIS (Netherlands)

    Ieven, Bram Koen

    2007-01-01

    Taking its cue from Jacques Derrida’s concept of différance, Machinic Deconstruction: Literature / Politics / Technics addresses the question whether it is possible to conceive of a work of technics that is operative at the same quasi-ontological level as différance itself. To do so, this study deve

  18. Motherhood and the Machine

    Directory of Open Access Journals (Sweden)

    Miglena Nikolchina

    2014-12-01

    Full Text Available In her conceptualization of the human as defined by the capacity for revolt Kristeva unavoidably touches upon issues of robotization, technology, and the virtual. The concepts of animal and machine, however, although they do appear occasionally and in important ways, are never at the focus of her inquiries and are absent in her “New Forms of Revolt.” Yet these two concepts to a large extent define the field of contemporary philosophical debates of the human giving rise to three major theoretical orientations. On the one hand, there is the trend which tries to come to terms with technological novelties and the merging of human and machine that they imply. This trend unfolds under the rubric of “transhuman” or “posthuman” and of the “enhancement” of man. The second trend predominates in animal studies. Mostly in an ethical perspective but also ontologically, this trend, to which Derrida’s later writing made a significant contribution, questions the idea of the “human exception” and the rigorous distinction between man and animal on which this exception rests. While apparently antagonistic, both trends align the human with the animal and oppose it to technology. The third trend collapses the distinctions on which the previous two rely through the lens of biopolitics: drawing on Heidegger, Kojève, and Foucault, it regards contemporary technological transformations as amounting to the animalization of man.  The human disappears in the animal, in the machine, or in the indistinguishability of the two, confirming what Agamben has described as the inoperativeness of the anthropological machine. The present text turns to Kristeva’s conceptions of motherhood and revolt as introducing a powerful inflection in this tripartite field. Remarkably, it is precisely new sagas of rebellious machines like Battlestar “Galactica” that foreground the relevance of Kristeva’s approach.

  19. Adding machine and calculating machine

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    In 1642 the French mathematician Blaise Pascal(1623-1662) invented a machine;.that could add and subtract. It had.wheels that each had: 1 to 10 marked off along its circumference. When the wheel at the right, representing units, made one complete circle, it engaged the wheel to its left, represents tens, and moved it forward one notch.

  20. Revisiting Routine Questions

    Science.gov (United States)

    Hughes, Rebecca; Monaghan, John; Shingadia, Eisha; Vaughan, Stephen

    2006-01-01

    What is a routine question? The focus of this paper is routine questions and time (in years) since a hitherto routine question was last attempted by the solver. The data comes from undergraduate students' work on solving two calculus questions. The data was selected for reporting purposes because it is well documented and because it threw up…

  1. Question analysis for Indonesian comparative question

    Science.gov (United States)

    Saelan, A.; Purwarianti, A.; Widyantoro, D. H.

    2017-01-01

    Information seeking is one of human needs today. Comparing things using search engine surely take more times than search only one thing. In this paper, we analyzed comparative questions for comparative question answering system. Comparative question is a question that comparing two or more entities. We grouped comparative questions into 5 types: selection between mentioned entities, selection between unmentioned entities, selection between any entity, comparison, and yes or no question. Then we extracted 4 types of information from comparative questions: entity, aspect, comparison, and constraint. We built classifiers for classification task and information extraction task. Features used for classification task are bag of words, whether for information extraction, we used lexical, 2 previous and following words lexical, and previous label as features. We tried 2 scenarios: classification first and extraction first. For classification first, we used classification result as a feature for extraction. Otherwise, for extraction first, we used extraction result as features for classification. We found that the result would be better if we do extraction first before classification. For the extraction task, classification using SMO gave the best result (88.78%), while for classification, it is better to use naïve bayes (82.35%).

  2. Avaliação neuropsicológica das funções executivas: considerações metodológicas Neuropsychological assessment of executive functions: methodological questions

    Directory of Open Access Journals (Sweden)

    Amer Cavalheiro Hamdan

    2009-01-01

    Full Text Available O interesse pelo estudo das funções executivas tem crescido nos últimos anos. O objetivo deste artigo é revisar algumas questões metodológicas e conceituais relacionadas à avaliação neuropsicológica das funções executivas. As principais limitações e dicotomias relacionadas às funções executivas são apresentadas e a importância de um modelo teórico que fundamente os instrumentos de avaliação e suas interpretações clinicas analisada. Conclui-se que as evidências provenientes da investigação das funções executivas ainda não permitem a compreensão satisfatória desses processos. Sugere-se, a adoção de um modelo específico para o estudo das funções executivas.The article aims to review methodological and conceptual issues related to neuropsychological assessment of executive functions. The main limitations and dichotomies of current studies related to executive functions are presented and the importance of theoretical support to validate the instruments and their clinical interpretation are discussed. There is still the need of additional evidences on executive functions that allow a complete understanding of all the processes involved. Finally, it is suggested the adoption of a specific model that may guide the study of the executive functions.

  3. Machine speech and speaking about machines

    Energy Technology Data Exchange (ETDEWEB)

    Nye, A. [Univ. of Wisconsin, Whitewater, WI (United States)

    1996-12-31

    Current philosophy of language prides itself on scientific status. It boasts of being no longer contaminated with queer mental entities or idealist essences. It theorizes language as programmable variants of formal semantic systems, reimaginable either as the properly epiphenomenal machine functions of computer science or the properly material neural networks of physiology. Whether or not such models properly capture the physical workings of a living human brain is a question that scientists will have to answer. I, as a philosopher, come at the problem from another direction. Does contemporary philosophical semantics, in its dominant truth-theoretic and related versions, capture actual living human thought as it is experienced, or does it instead reflect, regardless of (perhaps dubious) scientific credentials, pathology of thought, a pathology with a disturbing social history.

  4. Intelligent Machines in the 21st Century: Automating the Processes of Inference and Inquiry

    Science.gov (United States)

    Knuth, Kevin H.

    2003-01-01

    The last century saw the application of Boolean algebra toward the construction of computing machines, which work by applying logical transformations to information contained in their memory. The development of information theory and the generalization of Boolean algebra to Bayesian inference have enabled these computing machines. in the last quarter of the twentieth century, to be endowed with the ability to learn by making inferences from data. This revolution is just beginning as new computational techniques continue to make difficult problems more accessible. However, modern intelligent machines work by inferring knowledge using only their pre-programmed prior knowledge and the data provided. They lack the ability to ask questions, or request data that would aid their inferences. Recent advances in understanding the foundations of probability theory have revealed implications for areas other than logic. Of relevance to intelligent machines, we identified the algebra of questions as the free distributive algebra, which now allows us to work with questions in a way analogous to that which Boolean algebra enables us to work with logical statements. In this paper we describe this logic of inference and inquiry using the mathematics of partially ordered sets and the scaffolding of lattice theory, discuss the far-reaching implications of the methodology, and demonstrate its application with current examples in machine learning. Automation of both inference and inquiry promises to allow robots to perform science in the far reaches of our solar system and in other star systems by enabling them to not only make inferences from data, but also decide which question to ask, experiment to perform, or measurement to take given what they have learned and what they are designed to understand.

  5. Genesis machines

    CERN Document Server

    Amos, Martyn

    2014-01-01

    Silicon chips are out. Today's scientists are using real, wet, squishy, living biology to build the next generation of computers. Cells, gels and DNA strands are the 'wetware' of the twenty-first century. Much smaller and more intelligent, these organic computers open up revolutionary possibilities. Tracing the history of computing and revealing a brave new world to come, Genesis Machines describes how this new technology will change the way we think not just about computers - but about life itself.

  6. Methodological advances

    Directory of Open Access Journals (Sweden)

    Lebreton, J.-D.

    2004-06-01

    Full Text Available The study of population dynamics has long depended on methodological progress. Among many striking examples, continuous time models for populations structured in age (Sharpe & Lotka, 1911 were made possible by progress in the mathematics of integral equations. Therefore the relationship between population ecology and mathematical and statistical modelling in the broad sense raises a challenge in interdisciplinary research. After the impetus given in particular by Seber (1982, the regular biennial EURING conferences became a major vehicle to achieve this goal. It is thus not surprising that EURING 2003 included a session entitled “Methodological advances”. Even if at risk of heterogeneity in the topics covered and of overlap with other sessions, such a session was a logical way of ensuring that recent and exciting new developments were made available for discussion, further development by biometricians and use by population biologists. The topics covered included several to which full sessions were devoted at EURING 2000 (Anderson, 2001 such as: individual covariates, Bayesian methods, and multi–state models. Some other topics (heterogeneity models, exploited populations and integrated modelling had been addressed by contributed talks or posters. Their presence among “methodological advances”, as well as in other sessions of EURING 2003, was intended as a response to their rapid development and potential relevance to biological questions. We briefly review all talks here, including those not published in the proceedings. In the plenary talk, Pradel et al. (in prep. developed GOF tests for multi–state models. Until recently, the only goodness–of–fit procedures for multistate models were ad hoc, and non optimal, involving use of standard tests for single state models (Lebreton & Pradel, 2002. Pradel et al. (2003 proposed a general approach based in particular on mixtures of multinomial distributions. Pradel et al. (in prep. showed

  7. The question of questions in Malaysian English

    OpenAIRE

    Asniah Alias; Radina Mohamad Deli

    2013-01-01

    This paper examined the forms that interrogatives and tag questions can take when used by young Malaysian speakers of English language in oral communication. It offers a description of the features for both question forms as produced by the respondents compared to those of Singapore English (SE) and Standard British English (SBE). The influence of domains and the issue of mother tongue interference in relation to the subjects’ usage of such features will also be investigated. Data were obtain...

  8. Can a machine be conscious? How?

    OpenAIRE

    Harnad, Stevan

    2003-01-01

    A "machine" is any causal physical system, hence we are machines, hence machines can be conscious. The question is: which kinds of machines can be conscious? Chances are that robots that can pass the Turing Test -- completely indistinguishable from us in their behavioral capacities -- can be conscious (i.e. feel), but we can never be sure (because of the "other-minds" problem). And we can never know HOW they have minds, because of the "mind/body" problem. We can only know how they pass the Tu...

  9. Simulating Turing machines on Maurer machines

    NARCIS (Netherlands)

    Bergstra, J.A.; Middelburg, C.A.

    2008-01-01

    In a previous paper, we used Maurer machines to model and analyse micro-architectures. In the current paper, we investigate the connections between Turing machines and Maurer machines with the purpose to gain an insight into computability issues relating to Maurer machines. We introduce ways to

  10. Environmentally Friendly Machining

    CERN Document Server

    Dixit, U S; Davim, J Paulo

    2012-01-01

    Environment-Friendly Machining provides an in-depth overview of environmentally-friendly machining processes, covering numerous different types of machining in order to identify which practice is the most environmentally sustainable. The book discusses three systems at length: machining with minimal cutting fluid, air-cooled machining and dry machining. Also covered is a way to conserve energy during machining processes, along with useful data and detailed descriptions for developing and utilizing the most efficient modern machining tools. Researchers and engineers looking for sustainable machining solutions will find Environment-Friendly Machining to be a useful volume.

  11. Choosing a Methodology: Philosophical Underpinning

    Science.gov (United States)

    Jackson, Elizabeth

    2013-01-01

    As a university lecturer, I find that a frequent question raised by Masters students concerns the methodology chosen for research and the rationale required in dissertations. This paper unpicks some of the philosophical coherence that can inform choices to be made regarding methodology and a well-thought out rationale that can add to the rigour of…

  12. 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.

  13. Classroom Questioning Strategies

    Institute of Scientific and Technical Information of China (English)

    陈小林

    2013-01-01

      Interaction has been playing a more and more important role in language research since the early 1970s,when the communicative teaching method was widely applied in language teaching. Questioning is the most common classroom interaction. This thesis analyzed the influence on students' immediate oral production by applying different teacher questioning strategies including teacher's question types,teacher question modification and teacher feedback.

  14. Asking Questions in Academia

    DEFF Research Database (Denmark)

    Hansen, Annette Skovsted

    2014-01-01

    Motivation for the activity In academia the most important skill is to ask academically relevant and sound questions. This is not easy and students need to practice asking questions orally and in writing before they write research papers.......Motivation for the activity In academia the most important skill is to ask academically relevant and sound questions. This is not easy and students need to practice asking questions orally and in writing before they write research papers....

  15. Exam Question Exchange.

    Science.gov (United States)

    Alexander, John J., Ed.

    1983-01-01

    Acceptable answers are provided for two chemistry questions. The first question is related to the prediction of the appearance of non-first-order proton nuclear magnetic resonance (NMR) spectra. The second question is related to extraterrestrial kinetic theory of gases. (JN)

  16. Interfacing with questions

    DEFF Research Database (Denmark)

    Soon, Winnie

    2016-01-01

    This article discusses an artistic project entitled If I wrote you a love letter would you write back (and thousands of other questions): a piece of software that utilizes Twitter web API to query questions, drawing unpredictable questions in real-time from the distributed database of Twitter...

  17. Improving Student Question Classification

    Science.gov (United States)

    Heiner, Cecily; Zachary, Joseph L.

    2009-01-01

    Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…

  18. Machine Protection

    CERN Document Server

    Schmidt, R

    2014-01-01

    The protection of accelerator equipment is as old as accelerator technology and was for many years related to high-power equipment. Examples are the protection of powering equipment from overheating (magnets, power converters, high-current cables), of superconducting magnets from damage after a quench and of klystrons. The protection of equipment from beam accidents is more recent. It is related to the increasing beam power of high-power proton accelerators such as ISIS, SNS, ESS and the PSI cyclotron, to the emission of synchrotron light by electron–positron accelerators and FELs, and to the increase of energy stored in the beam (in particular for hadron colliders such as LHC). Designing a machine protection system requires an excellent understanding of accelerator physics and operation to anticipate possible failures that could lead to damage. Machine protection includes beam and equipment monitoring, a system to safely stop beam operation (e.g. dumping the beam or stopping the beam at low energy) and an ...

  19. Analysis of machining and machine tools

    CERN Document Server

    Liang, Steven Y

    2016-01-01

    This book delivers the fundamental science and mechanics of machining and machine tools by presenting systematic and quantitative knowledge in the form of process mechanics and physics. It gives readers a solid command of machining science and engineering, and familiarizes them with the geometry and functionality requirements of creating parts and components in today’s markets. The authors address traditional machining topics, such as: single and multiple point cutting processes grinding components accuracy and metrology shear stress in cutting cutting temperature and analysis chatter They also address non-traditional machining, such as: electrical discharge machining electrochemical machining laser and electron beam machining A chapter on biomedical machining is also included. This book is appropriate for advanced undergraduate and graduate mechani cal engineering students, manufacturing engineers, and researchers. Each chapter contains examples, exercises and their solutions, and homework problems that re...

  20. The Atwood's machine as a tool to introduce variable mass systems

    CERN Document Server

    de Sousa, Célia A

    2011-01-01

    This paper discusses an instructional strategy which explores eventual similarities and/or analogies between familiar problems and more sophisticated systems. In this context, the Atwood's machine problem is used to introduce students to more complex problems involving ropes and chains. The methodology proposed helps students to develop the ability needed to apply relevant concepts in situations not previously encountered. The pedagogical advantages are relevant for both secondary and high school students, showing that, through adequate examples, the question of the validity of Newton's second law may be introduced to even beginning students.

  1. Single Bacteria as Turing Machines

    Science.gov (United States)

    Bos, Julia; Zang, Qiucen; Vyawahare, Saurabh; Austin, Robert

    2014-03-01

    In Allan Turing's famous 1950 paper on Computing Machinery and Intelligence, he started with the provocative statement: ``I propose to consider the question, `Can machines think?' This should begin with definitions of the meaning of the terms `machine' and `think'.'' In our own work on exploring the way that organisms respond to stress and evolve, it seems at times as if they come to remarkably fast solutions to problems, indicating some sort of very clever computational machinery. I'll discuss how it would appear that bacteria can indeed create a form of a Turing Machine, the first example of a computer, and how they might use this algorithm to do rapid evolution to solve a genomics problem.

  2. Machine cost analysis using the traditional machine-rate method and ChargeOut!

    Science.gov (United States)

    E. M. (Ted). Bilek

    2009-01-01

    Forestry operations require ever more use of expensive capital equipment. Mechanization is frequently necessary to perform cost-effective and safe operations. Increased capital should mean more sophisticated capital costing methodologies. However the machine rate method, which is the costing methodology most frequently used, dates back to 1942. CHARGEOUT!, a recently...

  3. A topic clustering approach to finding similar questions from large question and answer archives.

    Directory of Open Access Journals (Sweden)

    Wei-Nan Zhang

    Full Text Available With the blooming of Web 2.0, Community Question Answering (CQA services such as Yahoo! Answers (http://answers.yahoo.com, WikiAnswer (http://wiki.answers.com, and Baidu Zhidao (http://zhidao.baidu.com, etc., have emerged as alternatives for knowledge and information acquisition. Over time, a large number of question and answer (Q&A pairs with high quality devoted by human intelligence have been accumulated as a comprehensive knowledge base. Unlike the search engines, which return long lists of results, searching in the CQA services can obtain the correct answers to the question queries by automatically finding similar questions that have already been answered by other users. Hence, it greatly improves the efficiency of the online information retrieval. However, given a question query, finding the similar and well-answered questions is a non-trivial task. The main challenge is the word mismatch between question query (query and candidate question for retrieval (question. To investigate this problem, in this study, we capture the word semantic similarity between query and question by introducing the topic modeling approach. We then propose an unsupervised machine-learning approach to finding similar questions on CQA Q&A archives. The experimental results show that our proposed approach significantly outperforms the state-of-the-art methods.

  4. Tourism Methodologies

    DEFF Research Database (Denmark)

    This volume offers methodological discussions within the multidisciplinary field of tourism and shows how tourism researchers develop and apply new tourism methodologies. The book is presented as an anthology, giving voice to many diverse researchers who reflect on tourism methodology in different...... in interview and field work situations, and how do we engage with the performative aspects of tourism as a field of study? The book acknowledges that research is also performance and that it constitutes an aspect of intervention in the situations and contexts it is trying to explore. This is an issue dealt...

  5. Questions and information systems

    CERN Document Server

    Lauer, Thomas W; Graesser, Arthur C

    2013-01-01

    The design and functioning of an information system improve to the extent that the system can handle the questions people ask. Surprisingly, however, researchers in the cognitive, computer, and information sciences have not thoroughly examined the multitude of relationships between information systems and questions -- both question asking and answering. The purpose of this book is to explicitly examine these relationships. Chapter contributors believe that questions play a central role in the analysis, design, and use of different kinds of natural or artificial information systems such as huma

  6. METODOLOGÍA DE CONTROL DE MÁQUINAS ELÉCTRICAS DE IP CON CAPACIDAD DE DEBILITAMIENTO DE CAMPO CONTROL METHODOLOGY OF PM MACHINE WITH FIELD WEAKENING CAPABILITY

    Directory of Open Access Journals (Sweden)

    Delvis González L

    2007-04-01

    Full Text Available En el mundo actual los requerimientos de los accionamientos se hacen cada vez más exigentes en cuanto a precisión y eficiencia. Por esta razón los diseñadores se ven obligados a encontrar nuevas topologías y mecanismos de control que las satisfagan, especialmente para aplicaciones de velocidad variable como tracción eléctrica. Las máquinas sincrónicas de imanes permanentes son una solución atractiva debido a su elevada eficiencia y su gran densidad de potencia. En estas aplicaciones, para velocidad por debajo de la nominal, el accionamiento opera a torque constante siguiendo la trayectoria de máximo par por ampere. Para valores de velocidad por encima de la nominal es necesario inyectar un flujo negativo en el eje directo, para reducir el flujo impuesto por el imán. De esta manera el voltaje y la corriente se mantienen en 1.0 pu. Este efecto se logra con un control adecuado del ángulo de la corriente en los ejes dq. Este trabajo muestra un método de control para operar las máquinas de corriente alterna e imanes permanentes con capacidad de debilitamiento de campo. Utilizando el Simulink del Matlab se verifica la estrategia de control propuesta. Además se muestran las propiedades de una nueva topología de MCAIP para aplicaciones de velocidad variable.Presently the AC machine drive’s requirements are more demanding in terms of precision and efficiency. Under these circumstances, designers are forced to find new machine topologies and control methods to meet these conditions, especially for variable speed applications such us electric traction. PM machines are an attractive solution because of their intrinsic higher efficiency and their power density. For these operations - below the rated speed - the drive works under constant torque strategy following the maximum torque per ampere trajectory. For speeds over the rated value, it is necessary to inject a negative d-axis flux, to reduce the field imposed by the PM. In this manner

  7. Automation of printing machine

    OpenAIRE

    Sušil, David

    2016-01-01

    Bachelor thesis is focused on the automation of the printing machine and comparing the two types of printing machines. The first chapter deals with the history of printing, typesettings, printing techniques and various kinds of bookbinding. The second chapter describes the difference between sheet-fed printing machines and offset printing machines, the difference between two representatives of rotary machines, technological process of the products on these machines, the description of the mac...

  8. Dynamic Question Ordering in Online Surveys

    Directory of Open Access Journals (Sweden)

    Early Kirstin

    2017-09-01

    Full Text Available Online surveys have the potential to support adaptive questions, where later questions depend on earlier responses. Past work has taken a rule-based approach, uniformly across all respondents. We envision a richer interpretation of adaptive questions, which we call Dynamic Question Ordering (DQO, where question order is personalized. Such an approach could increase engagement, and therefore response rate, as well as imputation quality. We present a DQO framework to improve survey completion and imputation. In the general survey-taking setting, we want to maximize survey completion, and so we focus on ordering questions to engage the respondent and collect hopefully all information, or at least the information that most characterizes the respondent, for accurate imputations. In another scenario, our goal is to provide a personalized prediction. Since it is possible to give reasonable predictions with only a subset of questions, we are not concerned with motivating users to answer all questions. Instead, we want to order questions to get information that reduces prediction uncertainty, while not being too burdensome. We illustrate this framework with two case studies, for the prediction and survey-taking settings. We also discuss DQO for national surveys and consider connections between our statistics-based question-ordering approach and cognitive survey methodology.

  9. Exhaled breath condensate: methodological recommendations and unresolved questions.

    NARCIS (Netherlands)

    Horvath, I.; Hunt, J.; Barnes, P.J.; Alving, K.; Antczak, A.; Baraldi, E.; Becher, G.; Beurden, W.J.C van; Corradi, M.; Dekhuijzen, P.N.R.; Dweik, R.A.; Dwyer, T.; Effros, R.; Erzurum, S.; Gaston, B.; Gessner, C.; Greening, A.; Ho, L.P.; Hohlfeld, J.; Jobsis, Q.; Laskowski, D.; Loukides, S.; Marlin, D.; Montuschi, P.; Olin, A.C.; Redington, A.E.; Reinhold, P.; Rensen, E.L. van; Rubinstein, I.; Silkoff, P.; Toren, K.; Vass, G.; Vogelberg, C.; Wirtz, H.

    2005-01-01

    Collection of exhaled breath condensate (EBC) is a noninvasive method for obtaining samples from the lungs. EBC contains large number of mediators including adenosine, ammonia, hydrogen peroxide, isoprostanes, leukotrienes, nitrogen oxides, peptides and cytokines. Concentrations of these mediators a

  10. Questioning Methodologies in Research on Men in ECEC

    Science.gov (United States)

    Rohrmann, Tim; Brody, David

    2015-01-01

    Research that elucidates the complexities of gender balance is itself a controversial field. This article examines challenges and limitations in quantitative as well as qualitative research on gender balance in early childhood education and care (ECEC). Cross country comparisons of male and female participation in the ECEC workforce are often…

  11. Diaspora Effects in International Migration : Key Questions and Methodological Issues

    OpenAIRE

    Beine, Michel; Docquier, Frederic; Ozden, Caglar

    2010-01-01

    This paper reviews the existing literature on the impact of migrants networks on the patterns of international migration. It covers the theoretical channels at stake in the global effect of the networks. It identifies the key issues, namely the impact on size, selection and concentration of the migration flows. The paper also reviews the empirical hurdles that the researchers face in assessing the importance of networks. The key issues concern the choice of micro vs a macro approach, the defi...

  12. Diaspora Effects in International Migration : Key Questions and Methodological Issues

    OpenAIRE

    Beine, Michel; Docquier, Frederic; Ozden, Caglar

    2011-01-01

    This paper reviews the existing literature on the impact of migrants networks on the patterns of international migration. It covers the theoretical channels at stake in the global effect of the networks. It identifies the key issues, namely the impact on size, selection and concentration of the migration flows. The paper also reviews the empirical hurdles that the researchers face in asses...

  13. ChargeOut! : discounted cash flow compared with traditional machine-rate analysis

    Science.gov (United States)

    Ted Bilek

    2008-01-01

    ChargeOut!, a discounted cash-flow methodology in spreadsheet format for analyzing machine costs, is compared with traditional machine-rate methodologies. Four machine-rate models are compared and a common data set representative of logging skidders’ costs is used to illustrate the differences between ChargeOut! and the machine-rate methods. The study found that the...

  14. Five-axis rough machining for impellers

    Institute of Scientific and Technical Information of China (English)

    Ruolong QI; Weijun LIU; Hongyou BIAN; Lun LI

    2009-01-01

    The most important components used in aero-space, ships, and automobiles are designed with free form surfaces. An impeller is one of the most important components that is difficult to machine because of its twisted blades. Rough machining is recognized as the most crucial procedure influencing machining efficiency and is critical for the finishing process. An integrated rough machining course with detailed algorithms is presented in this paper. An algorithm for determining the minimum distance between two surfaces is applied to estimate the tool size. The space between two blades that will be cleared from the roughcast is divided to generate CC points. The tool axis vector is confirmed based on flank milling using a simple method that could eliminate global interference between the tool and the blades. The result proves that the machining methodology presented in this paper is useful and successful.

  15. Asking the Right Questions.

    Science.gov (United States)

    Galvin, Ruth Mehrtens

    1990-01-01

    Like good researchers, writers about research need to be able to tell whether scientific findings are valid. Six questions, to be asked of the researcher, can help the writer explain to others. A healthy skepticism is also important; there may be signals that more questions should be asked. (MSE)

  16. Epistemology: 5 Questions

    DEFF Research Database (Denmark)

    Epistemology: 5 Questions is a collection of short interviews based on 5 questions presented to some of the most influential and prominent scholars in epistemology. We hear their views on epistemology with particular emphasis on the intersection between mainstream and formal approaches to the field......; the aim, scope, the future direction of epistemology and how their work fits in these respects...

  17. Legal Philosophy - Five Questions

    DEFF Research Database (Denmark)

    This collection gathers together a host of the most eminent contemporary legal philosophers, who writes about their take on legal philosophy, its fundamental questions and potential.......This collection gathers together a host of the most eminent contemporary legal philosophers, who writes about their take on legal philosophy, its fundamental questions and potential....

  18. Let's Switch Questioning Around

    Science.gov (United States)

    Tovani, Cris

    2015-01-01

    English teacher Cris Tovani knows from her experiences teaching elementary school that students are naturally curious. But, too often, students are so trained to be question answerers that by the time they reach high school, they no longer form questions of their own and instead focus on trying to figure out what answer the teacher wants. Tovani…

  19. Man-machine dialogue design and challenges

    CERN Document Server

    Landragin, Frederic

    2013-01-01

    This book summarizes the main problems posed by the design of a man-machine dialogue system and offers ideas on how to continue along the path towards efficient, realistic and fluid communication between humans and machines. A culmination of ten years of research, it is based on the author's development, investigation and experimentation covering a multitude of fields, including artificial intelligence, automated language processing, man-machine interfaces and notably multimodal or multimedia interfaces. Contents Part 1. Historical and Methodological Landmarks 1. An Assessment of the Evolution

  20. Machine musicianship

    Science.gov (United States)

    Rowe, Robert

    2002-05-01

    The training of musicians begins by teaching basic musical concepts, a collection of knowledge commonly known as musicianship. Computer programs designed to implement musical skills (e.g., to make sense of what they hear, perform music expressively, or compose convincing pieces) can similarly benefit from access to a fundamental level of musicianship. Recent research in music cognition, artificial intelligence, and music theory has produced a repertoire of techniques that can make the behavior of computer programs more musical. Many of these were presented in a recently published book/CD-ROM entitled Machine Musicianship. For use in interactive music systems, we are interested in those which are fast enough to run in real time and that need only make reference to the material as it appears in sequence. This talk will review several applications that are able to identify the tonal center of musical material during performance. Beyond this specific task, the design of real-time algorithmic listening through the concurrent operation of several connected analyzers is examined. The presentation includes discussion of a library of C++ objects that can be combined to perform interactive listening and a demonstration of their capability.

  1. Gendering China studies: peripheral perspectives, central questions

    NARCIS (Netherlands)

    J. de Kloet

    2008-01-01

    This article explores the connections between the field of China studies and the field of gender and sexuality studies. It engages with three questions. First, why is it that theoretical, conceptual and methodological cross-fertilization between China studies and cultural studies remains quite scarc

  2. Ergonomics for enhancing detection of machine abnormalities.

    Science.gov (United States)

    Illankoon, Prasanna; Abeysekera, John; Singh, Sarbjeet

    2016-10-17

    Detecting abnormal machine conditions is of great importance in an autonomous maintenance environment. Ergonomic aspects can be invaluable when detection of machine abnormalities using human senses is examined. This research outlines the ergonomic issues involved in detecting machine abnormalities and suggests how ergonomics would improve such detections. Cognitive Task Analysis was performed in a plant in Sri Lanka where Total Productive Maintenance is being implemented to identify sensory types that would be used to detect machine abnormalities and relevant Ergonomic characteristics. As the outcome of this research, a methodology comprising of an Ergonomic Gap Analysis Matrix for machine abnormality detection is presented.

  3. What is a Question?

    Science.gov (United States)

    Knuth, Kevin H.; Clancy, Daniel (Technical Monitor)

    2002-01-01

    A given question can be defined in terms of the set of statements or assertions that answer it. Application of the logic of inference to this set of assertions allows one to derive the logic of inquiry among questions. There are interesting symmetries between the logics of inference and inquiry; where probability describes the degree to which a premise implies an assertion, there exists an analogous quantity that describes the bearing or relevance that a question has on an outstanding issue. These have been extended to suggest that the logic of inquiry results in functional relationships analogous to, although more general than, those found in information theory. Employing lattice theory, I examine in greater detail the structure of the space of assertions and questions demonstrating that the symmetries between the logical relations in each of the spaces derive directly from the lattice structure. Furthermore, I show that while symmetries between the spaces exist, the two lattices are not isomorphic. The lattice of assertions is described by a Boolean lattice 2(sup N) whereas the lattice of real questions is shown to be a sublattice of the free distributive lattice FD(N) = 2(sup 2(sup N)). Thus there does not exist a one-to-one mapping of assertions to questions, there is no reflection symmetry between the two spaces, and questions in general do not possess unique complements. Last, with these lattice structures in mind, I discuss the relationship between probability, relevance and entropy.

  4. Electrical machines mathematical fundamentals of machine topologies

    CERN Document Server

    Gerling, Dieter

    2015-01-01

    Electrical Machines and Drives play a powerful role in industry with an ever increasing importance. This fact requires the understanding of machine and drive principles by engineers of many different disciplines. Therefore, this book is intended to give a comprehensive deduction of these principles. Special attention is given to the precise mathematical derivation of the necessary formulae to calculate machines and drives and to the discussion of simplifications (if applied) with the associated limits. The book shows how the different machine topologies can be deduced from general fundamentals, and how they are linked together. This book addresses graduate students, researchers, and developers of Electrical Machines and Drives, who are interested in getting knowledge about the principles of machine and drive operation and in detecting the mathematical and engineering specialties of the different machine and drive topologies together with their mutual links. The detailed - but nevertheless compact - mat...

  5. Laser machining of advanced materials

    CERN Document Server

    Dahotre, Narendra B

    2011-01-01

    Advanced materialsIntroductionApplicationsStructural ceramicsBiomaterials CompositesIntermetallicsMachining of advanced materials IntroductionFabrication techniquesMechanical machiningChemical Machining (CM)Electrical machiningRadiation machining Hybrid machiningLaser machiningIntroductionAbsorption of laser energy and multiple reflectionsThermal effectsLaser machining of structural ceramicsIntrodu

  6. Cutting temperature measurement and material machinability

    Directory of Open Access Journals (Sweden)

    Nedić Bogdan P.

    2014-01-01

    Full Text Available Cutting temperature is very important parameter of cutting process. Around 90% of heat generated during cutting process is then away by sawdust, and the rest is transferred to the tool and workpiece. In this research cutting temperature was measured with artificial thermocouples and question of investigation of metal machinability from aspect of cutting temperature was analyzed. For investigation of material machinability during turning artificial thermocouple was placed just below the cutting top of insert, and for drilling thermocouples were placed through screw holes on the face surface. In this way was obtained simple, reliable, economic and accurate method for investigation of cutting machinability.

  7. Hemodialysis machine technology: a global overview.

    Science.gov (United States)

    Polaschegg, Hans-Dietrich

    2010-11-01

    The market for hemodialysis machines, the background, the current products of manufacturers and the features of hemodialysis machines are described in this article. In addition to the established companies and their products, Chinese manufacturers, and new developments for home hemodialysis, are outlined based on publications available on the internet and patent applications. Here, a critical review of the state of the art questions the medical usefulness of high-tech developments, compared with the benefits of more frequent and/or longer dialysis treatment with comparable simple machines.

  8. The deleuzian abstract machines

    DEFF Research Database (Denmark)

    Werner Petersen, Erik

    2005-01-01

    production. In Kafka: Toward a Minor Literature, Deleuze and Guatari gave the most comprehensive explanation to the abstract machine in the work of art. Like the war-machines of Virilio, the Kafka-machine operates in three gears or speeds. Furthermore, the machine is connected to spatial diagrams...

  9. On methodology

    DEFF Research Database (Denmark)

    Cheesman, Robin; Faraone, Roque

    2002-01-01

    This is an English version of the methodology chapter in the authors' book "El caso Berríos: Estudio sobre información errónea, desinformación y manipulación de la opinión pública".......This is an English version of the methodology chapter in the authors' book "El caso Berríos: Estudio sobre información errónea, desinformación y manipulación de la opinión pública"....

  10. ON REICH'S OPEN QUESTION

    Institute of Scientific and Technical Information of China (English)

    张石生

    2003-01-01

    Under more general form and more general conditions an affirmative answer to Reich's open question is given. The results presented also extend and improve some recent results of Reich, Shioji, Takahashi and Wittmann.

  11. Machine Process Capability Information Through Six Sigma

    Energy Technology Data Exchange (ETDEWEB)

    Lackner, M.F.

    1998-03-13

    A project investigating details concerning machine process capability information and its accessibility has been conducted. The thesis of the project proposed designing a part (denoted as a machine capability workpiece) based on the major machining features of a given machine. Parts are machined and measured to gather representative production, short-term variation. The information is utilized to predict the expected defect rate, expressed in terms of a composite sigma level process capability index, for a production part. Presently, decisions concerning process planning, particularly what machine will statistically produce the minimum amount of defects based on machined features and associated tolerances, are rarely made. Six sigma tools and methodology were employed to conduct this investigation at AlliedSignal FM and T. Tools such as the thought process map, factor relationship diagrams, and components of variance were used. This study is progressing toward completion. This research study was an example of how machine process capability information may be gathered for milling planar faces (horizontal) and slot features. The planning method used to determine where and how to gather variation for the part to be designed is known as factor relationship diagramming. Components-of-variation is then applied to the gathered data to arrive at the contributing level of variation illustrated within the factor relationship diagram. The idea of using this capability information beyond process planning to the other business enterprise operations is proposed.

  12. Predicting Networked Strategic Behavior via Machine Learning and Game Theory

    Science.gov (United States)

    2015-01-13

    Report: Predicting Networked Strategic Behavior via Machine Learning and Game Theory The views, opinions and/or findings contained in this report...2211 machine learning, game theory , microeconomics, behavioral data REPORT DOCUMENTATION PAGE 11. SPONSOR/MONITOR’S REPORT NUMBER(S) 10. SPONSOR...Strategic Behavior via Machine Learning and Game Theory Report Title The funding for this project was used to develop basic models, methodology

  13. A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation.

    Science.gov (United States)

    Martin, Mario; Contreras-Hernández, Enrique; Béjar, Javier; Esposito, Gennaro; Chávez, Diógenes; Glusman, Silvio; Cortés, Ulises; Rudomin, Pablo

    2015-01-01

    Previous studies aimed to disclose the functional organization of the neuronal networks involved in the generation of the spontaneous cord dorsum potentials (CDPs) generated in the lumbosacral spinal segments used predetermined templates to select specific classes of spontaneous CDPs. Since this procedure was time consuming and required continuous supervision, it was limited to the analysis of two specific types of CDPs (negative CDPs and negative positive CDPs), thus excluding potentials that may reflect activation of other neuronal networks of presumed functional relevance. We now present a novel procedure based in machine learning that allows the efficient and unbiased selection of a variety of spontaneous CDPs with different shapes and amplitudes. The reliability and performance of the present method is evaluated by analyzing the effects on the probabilities of generation of different classes of spontaneous CDPs induced by the intradermic injection of small amounts of capsaicin in the anesthetized cat, a procedure known to induce a state of central sensitization leading to allodynia and hyperalgesia. The results obtained with the selection method presently described allowed detection of spontaneous CDPs with specific shapes and amplitudes that are assumed to represent the activation of functionally coupled sets of dorsal horn neurones that acquire different, structured configurations in response to nociceptive stimuli. These changes are considered as responses tending to adequate transmission of sensory information to specific functional requirements as part of homeostatic adjustments.

  14. A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random changes in neuronal connectivity induced by nociceptive stimulation

    Directory of Open Access Journals (Sweden)

    Mario eMartin

    2015-08-01

    Full Text Available Fractal analysis of spontaneous cord dorsum potentials (CDPs generated in the lumbosacral spinal segments has revealed that these potentials are generated by ongoing structured (non-random neuronal activity. Studies aimed to disclose the changes produced by nociceptive stimulation on the functional organization of the neuronal networks generating these potentials used predetermined templates to select specific classes of spontaneous CDPs. Since this procedure was time consuming and required continuous supervision, it was limited to the analysis of two types of CDPs (negative CDPs and negative positive CDPs, thus excluding potentials that may reflect activation of other neuronal networks of presumed functional relevance. We now present a novel procedure based in machine learning that allows the efficient and unbiased selection of a variety of spontaneous CDPs with different shapes and amplitudes. The reliability and performance of the method is evaluated by analyzing the effects on the probabilities of generation of different types of spontaneous CDPs induced by the intradermic injection of small amounts of capsaicin in the anesthetized cat.The results obtained with the selection method presently described allowed detection of spontaneous CDPs with specific shapes and amplitudes that are assumed to represent the activation of functionally coupled sets of dorsal horn neurones that acquire different, structured configurations in response to nociceptive stimuli.

  15. A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation

    Science.gov (United States)

    Martin, Mario; Contreras-Hernández, Enrique; Béjar, Javier; Esposito, Gennaro; Chávez, Diógenes; Glusman, Silvio; Cortés, Ulises; Rudomin, Pablo

    2015-01-01

    Previous studies aimed to disclose the functional organization of the neuronal networks involved in the generation of the spontaneous cord dorsum potentials (CDPs) generated in the lumbosacral spinal segments used predetermined templates to select specific classes of spontaneous CDPs. Since this procedure was time consuming and required continuous supervision, it was limited to the analysis of two specific types of CDPs (negative CDPs and negative positive CDPs), thus excluding potentials that may reflect activation of other neuronal networks of presumed functional relevance. We now present a novel procedure based in machine learning that allows the efficient and unbiased selection of a variety of spontaneous CDPs with different shapes and amplitudes. The reliability and performance of the present method is evaluated by analyzing the effects on the probabilities of generation of different classes of spontaneous CDPs induced by the intradermic injection of small amounts of capsaicin in the anesthetized cat, a procedure known to induce a state of central sensitization leading to allodynia and hyperalgesia. The results obtained with the selection method presently described allowed detection of spontaneous CDPs with specific shapes and amplitudes that are assumed to represent the activation of functionally coupled sets of dorsal horn neurones that acquire different, structured configurations in response to nociceptive stimuli. These changes are considered as responses tending to adequate transmission of sensory information to specific functional requirements as part of homeostatic adjustments. PMID:26379540

  16. Optimization of machining techniques – A retrospective and literature review

    Indian Academy of Sciences (India)

    Aman Aggarwal; Hari Singh

    2005-12-01

    In this paper an attempt is made to review the literature on optimizing machining parameters in turning processes. Various conventional techniques employed for machining optimization include geometric programming, geometric plus linear programming, goal programming, sequential unconstrained minimizationtechnique, dynamic programming etc. The latest techniques for optimization include fuzzy logic, scatter search technique, genetic algorithm, Taguchi technique and response surface methodology.

  17. Proceedings of the IEEE Machine Learning for Signal Processing XVII

    DEFF Research Database (Denmark)

    The seventeenth of a series of workshops sponsored by the IEEE Signal Processing Society and organized by the Machine Learning for Signal Processing Technical Committee (MLSP-TC). The field of machine learning has matured considerably in both methodology and real-world application domains and has...

  18. Evaluative Conditioning: The "How" Question.

    Science.gov (United States)

    Jones, Christopher R; Olson, Michael A; Fazio, Russell H

    2010-01-01

    Evaluative conditioning (EC) refers to attitude formation or change toward an object due to that object's mere co-occurrence with another valenced object or objects. This chapter focuses on the "how" question, that is, the question of what cognitive processes intervene between mere co-occurrence and attitude formation or change. Though EC has typically been thought of as occurring through a single, albeit contentious, mechanism, we begin by pointing out that both the heterogeneity of EC methodologies and the abundance of inconsistent results suggest that multiple processes with different characteristics can produce EC. We describe how the earliest posited process of EC, Pavlovian conditioning or signal learning, is a valid mechanism of EC that appears to have operated in some experiments but is unlikely to have operated in others and also cannot account for various EC findings. We describe other mechanisms of EC, when they can be expected to occur, and what characteristics they have. We particularly focus our attention on a process model of EC we have recently introduced, the implicit misattribution model. Finally, we describe the implications of a multi-process view of EC, which we argue can help resolve theoretical controversies and further the application of EC as a practical intervention for influencing attitudes in various domains.

  19. Sensor fusion method for machine performance enhancement

    Energy Technology Data Exchange (ETDEWEB)

    Mou, J.I. [Arizona State Univ., Tempe, AZ (United States); King, C.; Hillaire, R. [Sandia National Labs., Livermore, CA (United States). Integrated Manufacturing Systems Center; Jones, S.; Furness, R. [Ford Motor Co., Dearborn, MI (United States)

    1998-03-01

    A sensor fusion methodology was developed to uniquely integrate pre-process, process-intermittent, and post-process measurement and analysis technology to cost-effectively enhance the accuracy and capability of computer-controlled manufacturing equipment. Empirical models and computational algorithms were also developed to model, assess, and then enhance the machine performance.

  20. Methodological guidelines

    Energy Technology Data Exchange (ETDEWEB)

    Halsnaes, K.; Callaway, J.M.; Meyer, H.J.

    1999-04-01

    The guideline document establishes a general overview of the main components of climate change mitigation assessment. This includes an outline of key economic concepts, scenario structure, common assumptions, modelling tools and country study assumptions. The guidelines are supported by Handbook Reports that contain more detailed specifications of calculation standards, input assumptions and available tools. The major objectives of the project have been provided a methodology, an implementing framework and a reporting system which countries can follow in meeting their future reporting obligations under the FCCC and for GEF enabling activities. The project builds upon the methodology development and application in the UNEP National Abatement Coasting Studies (UNEP, 1994a). The various elements provide countries with a road map for conducting climate change mitigation studies and submitting national reports as required by the FCCC. (au) 121 refs.

  1. The Question Concerning Thinking

    DEFF Research Database (Denmark)

    Riis, Søren

    2008-01-01

    Martin Heidegger's thought-provoking essay "The Question Concerning Technology" (1977a) placed technology at the heart of philosophy. Heidegger tried to show that the essence of technology provokes humans to think about the world in a very dangerous way. Yet if we follow Heidegger's analysis......, by doing so, we will in the end realize two important things. First, that Heidegger's declaration of the end of philosophy in fact also means the end of anything we can meaningfully call thinking. Second, that Heidegger's own thinking is completely different from his own ideal of thinking. Our question...

  2. The social question revisited

    DEFF Research Database (Denmark)

    Kenneth, Petersson; Olsson, Ulf; Krejsler, John B.

    2015-01-01

    The focus of this chapter is the re-installation of the social question as a historical practice. The purpose is to investigate how historic figures return and are applied in contemporary political discourses, more precisely in the context of education, education policy and teacher education...... the diversity of relevant populations “without obstacles related to their social and economic background”. In the 19th century the social question was raised in a context of industrialization of societies. It dealt with suggestions about disintegration of predominant social structures and the management...

  3. Machine tool structures

    CERN Document Server

    Koenigsberger, F

    1970-01-01

    Machine Tool Structures, Volume 1 deals with fundamental theories and calculation methods for machine tool structures. Experimental investigations into stiffness are discussed, along with the application of the results to the design of machine tool structures. Topics covered range from static and dynamic stiffness to chatter in metal cutting, stability in machine tools, and deformations of machine tool structures. This volume is divided into three sections and opens with a discussion on stiffness specifications and the effect of stiffness on the behavior of the machine under forced vibration c

  4. Thermal models of electric machines with dynamic workloads

    Directory of Open Access Journals (Sweden)

    Christian Pohlandt

    2015-07-01

    Full Text Available Electric powertrains are increasingly used in off-highway machines because of easy controllability and excellent overall efficiency. The main goals are increasing the energy efficiency of the machine and the optimization of the work process. The thermal behaviour of electric machines with dynamic workloads applied to is a key design factor for electric powertrains in off-highway machines. This article introduces a methodology to model the thermal behaviour of electric machines. Using a noncausal modelling approach, an electric powertrain is analysed for dynamic workloads. Cause-effect relationships and reasons for increasing temperature are considered as well as various cooling techniques. The validation of the overall simulation model of the powertrain with measured field data workloads provides convincing results to evaluate numerous applications of electric machines in off-highway machines.

  5. Integration of Machining and Measuring Processes Using On-Machine Measurement Technology

    Institute of Scientific and Technical Information of China (English)

    Myeong; Woo; Cho; Tae; Il; Seo; Dong; Sam; Park

    2002-01-01

    This paper presents an integration methodology for ma chining and measuring processes using OMM (On-Machine Measurement) technology b ased on CAD/CAM/CAI integration concept. OMM uses a CNC machining center as a me asuring station by changing the tools into measuring probes such as touch-type, laser and vision. Although the measurement accuracy is not good compared to tha t of the CMM (Coordinate Measuring Machine), there are distinctive advantages us ing OMM in real situation. In this paper, two topics a...

  6. Questioning Danish Cartoon Images

    DEFF Research Database (Denmark)

    Bojsen, Heidi

    2007-01-01

    Danes today when it is considered demeaning and racist in most other countries. The conclusion does emphatically not plead in favour of law enforced limitations of the freedom of expression, but does question the prevalent "freedom of ignorance" concerning black identities which means...

  7. Questions English Teachers Ask.

    Science.gov (United States)

    Shuman, R. Baird

    This volume is based on the responses of 374 English teachers at the secondary and college levels to a letter asking them to describe the questions that most perplex them professionally. Answers are provided by 88 leaders in English education, including James R. Squire, Walter H. MacGinitie, R. Baird Shuman, Sheila Schwartz, and Ken Macrorie. The…

  8. Game Theory: 5 Questions

    DEFF Research Database (Denmark)

    Hendricks, Vincent F.

    Game Theory is a collection of short interviews based on 5 questions presented to some of the most influential and prominent scholars in game theory. We hear their views on game theory, its aim, scope, use, the future direction of game theory and how their work fits in these respects....

  9. Question: Who Can Vote?

    Science.gov (United States)

    Rodeheaver, Misty D.; Haas, Mary E.

    2008-01-01

    This year's rollercoaster primary elections and the pending national election, with an anticipated record voter turnout, provide the perfect backdrop for an examination of the questions: (1) Who can vote?; and (2) Who will vote? Historically, the American government refused voting rights to various groups based on race, gender, age, and even…

  10. Future Research Questions

    NARCIS (Netherlands)

    Walpoth, B.; Daanen, H.A.M.

    2014-01-01

    Immersion hypothermia in humans is described in about 500 scientific papers during a Pubmed search in medical literature with keywords ‘Immersion’, ‘Hypothermia’ and ‘Human’ as of 2014. Many questions still remain, the most important of which are described in this chapter.

  11. Game Theory: 5 Questions

    DEFF Research Database (Denmark)

    Hendricks, Vincent F.

    Game Theory is a collection of short interviews based on 5 questions presented to some of the most influential and prominent scholars in game theory. We hear their views on game theory, its aim, scope, use, the future direction of game theory and how their work fits in these respects....

  12. Literacy research methodologies

    CERN Document Server

    Duke, Nell K

    2012-01-01

    The definitive reference on literacy research methods, this book serves as a key resource for researchers and as a text in graduate-level courses. Distinguished scholars clearly describe established and emerging methodologies, discuss the types of questions and claims for which each is best suited, identify standards of quality, and present exemplary studies that illustrate the approaches at their best. The book demonstrates how each mode of inquiry can yield unique insights into literacy learning and teaching and how the methods can work together to move the field forward.   New to This Editi

  13. Questioning the Universe concepts in physics

    CERN Document Server

    Sadoff, Ahren

    2008-01-01

    UNITS AND POWERS OF TEN PHYSICS AND ITS METHODOLOGY  What Is Physics? Methodology The First Scientist Why Do You Believe? Back to the Questions How Do We Answer theQuestions? The Need to BeQuantitative Theories Models AestheticJudgments  MOTION Relating the Variables of Motion Graphs of One-Dimensional Motion Constant Speed Constant Acceleration Two-Dimensional Motion FORCES The Fundamental Forces A Specific Force Law: Newtonian Gravity Weight How Does Force Affect Motion? Newton's SecondLaw Newton, the Apple, and the Moon Combining Two Laws The Mass of the Earth Newton's Firs

  14. Methodology for a bounding estimate of activation source-term.

    Science.gov (United States)

    Culp, Todd

    2013-02-01

    Sandia National Laboratories' Z-Machine is the world's most powerful electrical device, and experiments have been conducted that make it the world's most powerful radiation source. Because Z-Machine is used for research, an assortment of materials can be placed into the machine; these materials can be subjected to a range of nuclear reactions, producing an assortment of activation products. A methodology was developed to provide a systematic approach to evaluate different materials to be introduced into the machine as wire arrays. This methodology is based on experiment specific characteristics, physical characteristics of specific radionuclides, and experience with Z-Machine. This provides a starting point for bounding calculations of radionuclide source-term that can be used for work planning, development of work controls, and evaluating materials for introduction into the machine.

  15. Multifractal methodology

    CERN Document Server

    Salat, Hadrien; Arcaute, Elsa

    2016-01-01

    Various methods have been developed independently to study the multifractality of measures in many different contexts. Although they all convey the same intuitive idea of giving a "dimension" to sets where a quantity scales similarly within a space, they are not necessarily equivalent on a more rigorous level. This review article aims at unifying the multifractal methodology by presenting the multifractal theoretical framework and principal practical methods, namely the moment method, the histogram method, multifractal detrended fluctuation analysis (MDFA) and modulus maxima wavelet transform (MMWT), with a comparative and interpretative eye.

  16. Design of Demining Machines

    CERN Document Server

    Mikulic, Dinko

    2013-01-01

    In constant effort to eliminate mine danger, international mine action community has been developing safety, efficiency and cost-effectiveness of clearance methods. Demining machines have become necessary when conducting humanitarian demining where the mechanization of demining provides greater safety and productivity. Design of Demining Machines describes the development and testing of modern demining machines in humanitarian demining.   Relevant data for design of demining machines are included to explain the machinery implemented and some innovative and inspiring development solutions. Development technologies, companies and projects are discussed to provide a comprehensive estimate of the effects of various design factors and to proper selection of optimal parameters for designing the demining machines.   Covering the dynamic processes occurring in machine assemblies and their components to a broader understanding of demining machine as a whole, Design of Demining Machines is primarily tailored as a tex...

  17. Applied machining technology

    CERN Document Server

    Tschätsch, Heinz

    2010-01-01

    Machining and cutting technologies are still crucial for many manufacturing processes. This reference presents all important machining processes in a comprehensive and coherent way. It includes many examples of concrete calculations, problems and solutions.

  18. Machining with abrasives

    CERN Document Server

    Jackson, Mark J

    2011-01-01

    Abrasive machining is key to obtaining the desired geometry and surface quality in manufacturing. This book discusses the fundamentals and advances in the abrasive machining processes. It provides a complete overview of developing areas in the field.

  19. Women, Men, and Machines.

    Science.gov (United States)

    Form, William; McMillen, David Byron

    1983-01-01

    Data from the first national study of technological change show that proportionately more women than men operate machines, are more exposed to machines that have alienating effects, and suffer more from the negative effects of technological change. (Author/SSH)

  20. Machine medical ethics

    CERN Document Server

    Pontier, Matthijs

    2015-01-01

    The essays in this book, written by researchers from both humanities and sciences, describe various theoretical and experimental approaches to adding medical ethics to a machine in medical settings. Medical machines are in close proximity with human beings, and getting closer: with patients who are in vulnerable states of health, who have disabilities of various kinds, with the very young or very old, and with medical professionals. In such contexts, machines are undertaking important medical tasks that require emotional sensitivity, knowledge of medical codes, human dignity, and privacy. As machine technology advances, ethical concerns become more urgent: should medical machines be programmed to follow a code of medical ethics? What theory or theories should constrain medical machine conduct? What design features are required? Should machines share responsibility with humans for the ethical consequences of medical actions? How ought clinical relationships involving machines to be modeled? Is a capacity for e...

  1. Brain versus Machine Control.

    Directory of Open Access Journals (Sweden)

    Jose M Carmena

    2004-12-01

    Full Text Available Dr. Octopus, the villain of the movie "Spiderman 2", is a fusion of man and machine. Neuroscientist Jose Carmena examines the facts behind this fictional account of a brain- machine interface

  2. Metodologia para implantação de programa de manutenção de um aparelho de facoemulsificação Methodology for implementing a maintenance plan for a phacoemulsification machine

    Directory of Open Access Journals (Sweden)

    Wagner Koji Aragaki

    2004-04-01

    manutenção pleno e preditivo desenvolvido para o Legacy 20000™ nos hospitais pesquisados, somente manutenção corretiva. Os itens do manual de manutenção preventiva sugerido para o Legacy 20000™ foram elaborados a partir dos resultados da pesquisa utilizando as ferramentas da manutenção preventiva.PURPOSE: To implement a plan of preventive maintenance developed for users of the phacoemulsification machine. METHODS: In order to implement a maintenance program for a phacoemulsification machine, Alcon's Legacy 20000™ was chosen. Its operating manual was used as a primary search, so that the probability of equipment malfunction or breakdown could be quantified. The maintenance condition of Legacy 20000™ was checked in some hospitals in São Paulo through an interview with the responsible clinical engineers. Surgeons working at the Cataract Sector of UNIFESP (Universidade Federal de São Paulo were asked their opinion about the functioning of Legacy 20000™, in order to indentify the main sources of malfunction. After research had been carried out in hospitals and with the surgeons, a maintenance manual for the Legacy 20000™ was proposed, based on preventive maintenance tools. RESULTS: The analysis regarding error messages showed that most potential problems and corrective measures to be taken are due to problems of connection or fixation of the cables. The Legacy 20000™ main sources of malfunction were identified in the São Paulo Hospital, which had acquired its own piece of equipment. In most cases they were related to broken ultra-sound handpiece, broken electronic and mechanical components, faulty setup and problems of priming, vacuum and aspiration. The interview with the cataract surgeons of the Universidade Federal de São Paulo showed lack of technical knowledge due to their lack of familiarity with the manual and no training regarding equipment functions. CONCLUSIONS: There is no complete plan of preventive maintenance for the Legacy 20000™ in

  3. MULTIPHYSICAL ANALYSIS METHODS OF TRANSPORT MACHINES

    Directory of Open Access Journals (Sweden)

    L. Avtonomova

    2009-01-01

    Full Text Available The complex of theoretical, calculable and applied questions of elements transport machine are studied. Coupled-field analyses are useful for solving problems where the coupled interaction of phenomena from various disciplines of physical science is significant. There are basically 3 methods of coupling distinguished by the finite element formulation techniques used to develop the matrix equations.

  4. The complexity of small universal Turing machines: a survey

    CERN Document Server

    Neary, Turlough

    2011-01-01

    We survey some work concerned with small universal Turing machines, cellular automata, tag systems, and other simple models of computation. For example it has been an open question for some time as to whether the smallest known universal Turing machines of Minsky, Rogozhin, Baiocchi and Kudlek are efficient (polynomial time) simulators of Turing machines. These are some of the most intuitively simple computational devices and previously the best known simulations were exponentially slow. We discuss recent work that shows that these machines are indeed efficient simulators. In addition, another related result shows that Rule 110, a well-known elementary cellular automaton, is efficiently universal. We also discuss some old and new universal program size results, including the smallest known universal Turing machines. We finish the survey with results on generalised and restricted Turing machine models including machines with a periodic background on the tape (instead of a blank symbol), multiple tapes, multipl...

  5. Studying depression using imaging and machine learning methods.

    Science.gov (United States)

    Patel, Meenal J; Khalaf, Alexander; Aizenstein, Howard J

    2016-01-01

    Depression is a complex clinical entity that can pose challenges for clinicians regarding both accurate diagnosis and effective timely treatment. These challenges have prompted the development of multiple machine learning methods to help improve the management of this disease. These methods utilize anatomical and physiological data acquired from neuroimaging to create models that can identify depressed patients vs. non-depressed patients and predict treatment outcomes. This article (1) presents a background on depression, imaging, and machine learning methodologies; (2) reviews methodologies of past studies that have used imaging and machine learning to study depression; and (3) suggests directions for future depression-related studies.

  6. Questions about elastic waves

    CERN Document Server

    Engelbrecht, Jüri

    2015-01-01

    This book addresses the modelling of mechanical waves by asking the right questions about them and trying to find suitable answers. The questions follow the analytical sequence from elementary understandings to complicated cases, following a step-by-step path towards increased knowledge. The focus is on waves in elastic solids, although some examples also concern non-conservative cases for the sake of completeness. Special attention is paid to the understanding of the influence of microstructure, nonlinearity and internal variables in continua. With the help of many mathematical models for describing waves, physical phenomena concerning wave dispersion, nonlinear effects, emergence of solitary waves, scales and hierarchies of waves as well as the governing physical parameters are analysed. Also, the energy balance in waves and non-conservative models with energy influx are discussed. Finally, all answers are interwoven into the canvas of complexity.

  7. Regenerative Endodontics: Burning Questions.

    Science.gov (United States)

    Smith, Anthony J; Cooper, Paul R

    2017-09-01

    Pulp regeneration and its clinical translation into regenerative endodontic procedures are receiving increasing research attention, leading to significant growth of the published scientific and clinical literature within these areas. Development of research strategies, which consider patient-, clinician-, and scientist-based outcomes, will allow greater focus on key research questions driving more rapid clinical translation. Three key areas of focus for these research questions should include cells, signaling, and infection/inflammation. A translational pathway is envisaged in which clinical approaches are increasingly refined to provide regenerative endodontic protocols that are based on a robust understanding of the physiological processes and events responsible for the normal secretion, structure, and biological behavior of pulpal tissue. Copyright © 2017 American Association of Endodontists. Published by Elsevier Inc. All rights reserved.

  8. Quantum theory from questions

    CERN Document Server

    Hoehn, Philipp A

    2016-01-01

    We reconstruct the explicit formalism of qubit quantum theory from elementary rules on an observer's information acquisition. Our approach is purely operational: we consider an observer O interrogating a system S with binary questions and define S's state as O's `catalogue of knowledge' about S; no ontic assumptions are necessary. From the rules we derive the state spaces for N qubits and show that (a) they coincide with the set of density matrices over N qubit Hilbert spaces; (b) states evolve unitarily under the group $\\rm{PSU}(2^N)$ according to the von Neumann evolution equation; and (c) the binary questions by means of which O interrogates the systems corresponds to projective measurements on Pauli operators with outcome probabilities given by the Born rule. Besides offering a novel conceptual perspective on qubit quantum theory, the reconstruction also unravels new structural insights. Namely, we show that, in a quadratic information measure, (d) qubits satisfy informational complementarity inequalities...

  9. Questions to Luce Irigaray

    OpenAIRE

    Ince, Kate

    1996-01-01

    This article traces the "dialogue" between the work of the philosophers Luce Irigaray and Emmanuel Levinas. It attempts to construct a more nuanced discussion than has been given to date of Irigaray's critique of Levinas, particularly as formulated in 'Questions to Emmanuel Levinas' (Irigaray 1991). It suggests that the concepts of the feminine and of voluptuosity articulated by Levinas have more to contribute to Irigaray's project of an ethics of sexual difference than she herself sometimes ...

  10. 501 reading comprehension questions

    CERN Document Server

    2014-01-01

    This updated edition offers the most extensive and varied practice for all types of questions students might face on standardized and in-class tests. With this guide, students will learn to develop expert reading strategies, understand how to read faster and with greater comprehension, overcome reading anxiety, and increase appreciation of reading for pleasure. This book's step-by-step approach provides graduated coverage that moves from the basics to more advanced reading.

  11. Eight Questions about Corruption

    OpenAIRE

    Jakob Svensson

    2005-01-01

    This paper will discuss eight frequently asked questions about public corruption: (1) What is corruption? (2) Which countries are the most corrupt? (3) What are the common characteristics of countries with high corruption? (4) What is the magnitude of corruption? (5) Do higher wages for bureaucrats reduce corruption? (6) Can competition reduce corruption? (7) Why have there been so few (recent) successful attempts to fight corruption? (8) Does corruption adversely affect growth?

  12. The global knowledge economy in question

    OpenAIRE

    Roberts, Joanne

    2009-01-01

    Purpose – The aim of this paper is to bring into question the idea of the global knowledge economy. Design/methodology/approach – The paper explores the characteristics of the knowledge economy, as elaborated by academics and policy makers concerned with knowledge in the contemporary global business environment. A range of available data is reviewed concerning the global distribution of investments in knowledge, information and communications technologies (ICTs), international transactions in...

  13. A Universal Reactive Machine

    DEFF Research Database (Denmark)

    Andersen, Henrik Reif; Mørk, Simon; Sørensen, Morten U.

    1997-01-01

    Turing showed the existence of a model universal for the set of Turing machines in the sense that given an encoding of any Turing machine asinput the universal Turing machine simulates it. We introduce the concept of universality for reactive systems and construct a CCS processuniversal...

  14. Questioning Many Mysteries

    Science.gov (United States)

    Martin, Sara F.

    2015-04-01

    The first section of this memoir queries my formative years. Indirectly I address the question, did my childhood and early years make a difference in my choice of career? Why and how did I begin my journey to becoming a scientist? Did I choose the field of solar astronomy or did circumstances dictate it for me? In the second section, I travel through my work environments and experiences, talking about interactions and aspects of being a scientist that do not appear in our research papers. What parts of my research were happenstances and what parts did I plan? What does it feel like to be on scientific quests? Using examples in my journey, I also turn to questions that have intrigued me throughout my sojourn as a solar astronomer. How do scientific discoveries come about? What factors lead to little discoveries? And what factors lead to major exciting discoveries? Are there timely questions we do not think to ask? How can small, seemingly scattered pieces of knowledge suddenly coalesce into a deeper understanding - what is called the "Aha!" experience - the times when our mental light switches on, and with child-like wonder we behold a "big picture"?

  15. Reflections on Design Methodology Research

    DEFF Research Database (Denmark)

    2011-01-01

    We shall reflect on the results of Design Methodology research and their impact on design practice. In the past 50 years the number of researchers in the field has expanded enormously – as has the number of publications. During the same period design practice and its products have changed...... and produced are also now far more complex and distributed, putting designers under ever increasing pressure. We shall address the question: Are the results of Design Methodology research appropriate and are they delivering the expected results in design practice? In our attempt to answer this question we...... shall draw on our extensive experience of design research and design teaching, and on the recent book The Future of Design Methodology, edited by Professor Herbert Birkhofer. We shall also refer to a model that links the Results, Practices, Methods, and Sciences of designing. Some initial conclusions...

  16. Developing the Business Model – a Methodology for Virtual Enterprises

    DEFF Research Database (Denmark)

    Tølle, Martin; Vesterager, Johan

    2003-01-01

    This chapter presents a methodology to develop Virtual Enterprises (VEs). This Virtual Enterprise Methodology (VEM) outlines activities to consider when setting up and managing virtual enterprises. As a methodology the VEM helps companies to ask the right questions when preparing for, and setting...... and Methodology ISO15704:2000)....

  17. Open-ended questions in sensory testing practice

    NARCIS (Netherlands)

    Piqueras Fiszman, B.

    2015-01-01

    Why use open-ended questions? This chapter provides an up-to-date overview on the use of open-ended questions in novel rapid sensory methodologies and the potential applications in which they could provide unique benefits. Next, the step-by-step process is described (from task performance to analysi

  18. Open-ended questions in sensory testing practice

    NARCIS (Netherlands)

    Piqueras Fiszman, B.

    2015-01-01

    Why use open-ended questions? This chapter provides an up-to-date overview on the use of open-ended questions in novel rapid sensory methodologies and the potential applications in which they could provide unique benefits. Next, the step-by-step process is described (from task performance to

  19. Open-ended questions in sensory testing practice

    NARCIS (Netherlands)

    Piqueras Fiszman, B.

    2015-01-01

    Why use open-ended questions? This chapter provides an up-to-date overview on the use of open-ended questions in novel rapid sensory methodologies and the potential applications in which they could provide unique benefits. Next, the step-by-step process is described (from task performance to analysi

  20. Thinking Levels of Questions in Christian Reading Textbooks

    Science.gov (United States)

    Lee, Heather A.

    2015-01-01

    If Christian schools desire students to achieve higher-level thinking, then the textbooks that teachers use should reflect such thinking. Using Risner's (1987) methodology, raters classified questions from two Christian publishers' fifth grade reading textbooks based on the revised Bloom's taxonomy (Anderson et al., 2001). The questions in the A…

  1. Asking the Right Questions

    DEFF Research Database (Denmark)

    Richter, Line

    Based on fieldwork in Mali this paper discusses the role of anthropology (and the anthropologist) in a large public health research project on children's health. In the uncertainty and disquiet that comes with the battle to combat and avoid diseases in a setting where poverty and abysmal diseases...... are part of everyday life, children are often the most vulnerable. The project was carried out to shed light on mainly two types of diseases - malaria and diarrheal diseases - that strike children. In practice the academic backgrounds of the researchers played a role in the methodological approach...

  2. Asynchronized synchronous machines

    CERN Document Server

    Botvinnik, M M

    1964-01-01

    Asynchronized Synchronous Machines focuses on the theoretical research on asynchronized synchronous (AS) machines, which are "hybrids” of synchronous and induction machines that can operate with slip. Topics covered in this book include the initial equations; vector diagram of an AS machine; regulation in cases of deviation from the law of full compensation; parameters of the excitation system; and schematic diagram of an excitation regulator. The possible applications of AS machines and its calculations in certain cases are also discussed. This publication is beneficial for students and indiv

  3. Quantum machine learning.

    Science.gov (United States)

    Biamonte, Jacob; Wittek, Peter; Pancotti, Nicola; Rebentrost, Patrick; Wiebe, Nathan; Lloyd, Seth

    2017-09-13

    Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Quantum systems produce atypical patterns that classical systems are thought not to produce efficiently, so it is reasonable to postulate that quantum computers may outperform classical computers on machine learning tasks. The field of quantum machine learning explores how to devise and implement quantum software that could enable machine learning that is faster than that of classical computers. Recent work has produced quantum algorithms that could act as the building blocks of machine learning programs, but the hardware and software challenges are still considerable.

  4. Precision machine design

    CERN Document Server

    Slocum, Alexander H

    1992-01-01

    This book is a comprehensive engineering exploration of all the aspects of precision machine design - both component and system design considerations for precision machines. It addresses both theoretical analysis and practical implementation providing many real-world design case studies as well as numerous examples of existing components and their characteristics. Fast becoming a classic, this book includes examples of analysis techniques, along with the philosophy of the solution method. It explores the physics of errors in machines and how such knowledge can be used to build an error budget for a machine, how error budgets can be used to design more accurate machines.

  5. Research Methodology

    CERN Document Server

    Rajasekar, S; Philomination, P

    2006-01-01

    In this manuscript various components of research are listed and briefly discussed. The topics considered in this write-up cover a part of the research methodology paper of Master of Philosophy (M.Phil.) course and Doctor of Philosophy (Ph.D.) course. The manuscript is intended for students and research scholars of science subjects such as mathematics, physics, chemistry, statistics, biology and computer science. Various stages of research are discussed in detail. Special care has been taken to motivate the young researchers to take up challenging problems. Ten assignment works are given. For the benefit of young researchers a short interview with three eminent scientists is included at the end of the manuscript.

  6. The Art of Asking Questions.

    Science.gov (United States)

    Sykes, Rosetta A.

    1979-01-01

    A rationale is given for the use of questioning techniques and strategies in classroom instruction. B. Bloom's Taxonomy of Educational Objectives is presented as one framework for questions. Five pitfalls, including avoiding vague questions and personal pronouns, are discussed. (CL)

  7. Social Epistemology: 5 Questions

    DEFF Research Database (Denmark)

    Social Epistemology: 5 Questions is a collection of interviews with some of the world’s most influential scholars working on social epistemology from a range of disciplinary perspectives. We hear their views on social epistemology; its aim, scope, use, broader intellectual environment, future...... direction, and how the work of the interviewees fits in these respects. Interviews with David Bloor, Cristina Bicchieri, Richard Bradley, Lorraine Code, Hans van Ditmarsch, Miranda Fricker, Steve Fuller, Sanford Goldberg, Alvin Goldman, Philip Kitcher, Martin Kusch, Jennifer Lackey, Helen E. Longino, Philip...

  8. Teaching Camera Calibration by a Constructivist Methodology

    Science.gov (United States)

    Samper, D.; Santolaria, J.; Pastor, J. J.; Aguilar, J. J.

    2010-01-01

    This article describes the Metrovisionlab simulation software and practical sessions designed to teach the most important machine vision camera calibration aspects in courses for senior undergraduate students. By following a constructivist methodology, having received introductory theoretical classes, students use the Metrovisionlab application to…

  9. Children's questions: a mechanism for cognitive development.

    Science.gov (United States)

    Chouinard, Michael M

    2007-01-01

    methodology allowed detailed, veridical analysis of every question asked by the children during their recording sessions. Results indicate that children ask many information-seeking questions and get informative answers. When they do not get an informative response, they keep asking; attention is not enough. Results also indicate that the content of children's questions parallel their conceptual advances, and shift within an exchange and over the course of development to reflect the learning process. So, these data suggest that the components of the IRM are in place and are used by children from very early in development, and the information they seek changes with time. Study 2 asked whether preverbal children who are not yet asking linguistic questions can recruit information via gestures, expressions, and vocalizations, in addition to further investigating the linguistic questions of older children. This study analyzed questions from a cross-sectional diary study, kept by 68 parents of their children's questions (aged 1;0-5;0). Also, this methodology allowed for data collection over a large number of children, a large range of situational contexts, and allows for the collection of low frequency, high-salience events. Results from Study 2 suggest that all of the components of the IRM are in place, and extends these findings down to younger, preverbal children who recruit information using gesture and vocalizations. Study 3 investigated the questions asked in one specific domain, biological knowledge, and examined the impact that different stimulus types have on children's questions. This study gathered data from 112 parent/child dyads (children aged 2, 3, and 4 years) walking through one of three zoos (one with real animals, one with drawings of animals, and one with three-dimensional replicas of animals), looking at the animals together. Results from this study also suggest that all of the components of the IRM are in place from the earliest age, further supporting the

  10. Machine learning analysis of binaural rowing sounds

    DEFF Research Database (Denmark)

    Johard, Leonard; Ruffaldi, Emanuele; Hoffmann, Pablo F.

    2011-01-01

    Techniques for machine hearing are increasing their potentiality due to new application domains. In this work we are addressing the analysis of rowing sounds in natural context for the purpose of supporting a training system based on virtual environments. This paper presents the acquisition metho...... methodology and the evaluation of different machine learning techniques for classifying rowing-sound data. We see that a combination of principal component analysis and shallow networks perform equally well as deep architectures, while being much faster to train....

  11. Machine Learning Analysis of Binaural Rowing Sounds

    Directory of Open Access Journals (Sweden)

    Filippeschi Alessandro

    2011-12-01

    Full Text Available Techniques for machine hearing are increasing their potentiality due to new application domains. In this work we are addressing the analysis of rowing sounds in natural context for the purpose of supporting a training system based on virtual environments. This paper presents the acquisition methodology and the evaluation of different machine learning techniques for classifying rowing-sound data. We see that a combination of principal component analysis and shallow networks perform equally well as deep architectures, while being much faster to train.

  12. Trick questions: cosmopolitan hospitality

    Directory of Open Access Journals (Sweden)

    Eleanor Byrne

    2013-08-01

    Full Text Available Byrne’s paper consists of two parallel texts. The first explores the limits of cosmopolitanism in practice, taking as its subject the Life in the UK Citizenship Test, inaugurated under the Labour Government in 2005. It argues that the test exemplifies the predicament of all attempts at cosmopolitan hospitality as unconditional welcoming, through a discussion of the relation between questioning and welcoming the stranger. Establishing the relationship between cosmopolitanism and hospitality as envisaged in Derrida’s reading of Kant it asks what kind of cosmopolitan hospitality is either possible or desirable by exploring what Derrida calls the ‘perversions’ inherent in the structures of hospitality. It focuses on the concept of the ‘trick questions’ that the state asks the foreigner observed by Derrida in his reading of The Apology of Socrates; questions that seem to invite answers but foreclose the possibilities of a free response. The second text asks how this logic that Derrida identifies can be pushed or coaxed into new ways of addressing the perceived threats of ‘unconditional’ hospitality through a reading of ‘unconditional hospitality’ as queer in the work of Tove Jansson.

  13. Feminist methodologies and engineering education research

    Science.gov (United States)

    Beddoes, Kacey

    2013-03-01

    This paper introduces feminist methodologies in the context of engineering education research. It builds upon other recent methodology articles in engineering education journals and presents feminist research methodologies as a concrete engineering education setting in which to explore the connections between epistemology, methodology and theory. The paper begins with a literature review that covers a broad range of topics featured in the literature on feminist methodologies. Next, data from interviews with engineering educators and researchers who have engaged with feminist methodologies are presented. The ways in which feminist methodologies shape their research topics, questions, frameworks of analysis, methods, practices and reporting are each discussed. The challenges and barriers they have faced are then discussed. Finally, the benefits of further and broader engagement with feminist methodologies within the engineering education community are identified.

  14. The Gentle Art of Questioning: Writing Great Clicker Questions

    Science.gov (United States)

    Chasteen, Stephanie

    2012-02-01

    How does a teacher use questioning effectively? This workshop will focus on writing those questions that engage students, spark their curiosity, help recap material, give you insight into their thinking, or help them learn critical ideas in physics. We will focus on ``peer instruction'' -- a research-tested method of requiring students to discuss challenging questions with one another. We will investigate the surprising power of multiple-choice questions to achieve critical thinking skills. Finally, we will look at writing questions that align with our goals for students, discuss the elements of effective questions, and practice writing questions and work on improving them.

  15. Questions and Questioning Techniques: A View of Indonesian Students’ Preferences

    Directory of Open Access Journals (Sweden)

    Debora Tri Ragawanti

    2009-01-01

    Full Text Available This study investigated students’ preference on teacher’s questions and questionings techniques and more importantly on how they could facilitate or impede their learning. The results on teacher’s questioning techniques showed that random nomination was more preferred than pre-arranged format nomination. In addition, techniques of nominating volunteering students and of giving wait-time were disliked by most student-respondents. As for types of question, the yes/no question was favored by most of the respondents. Different from the yes/no question, the number of respondents leaning forward to the analysis question, questions about fact of life, and questions to state opinion did not show a significant difference from the number of those leaning against the same questions.

  16. Constructive Analysis : A Study in Epistemological Methodology

    DEFF Research Database (Denmark)

    Ahlström, Kristoffer

    The present study is concerned the viability of the primary method in contemporary philosophy, i.e., conceptual analysis. Starting out by tracing the roots of this methodology to Platonic philosophy, the study questions whether such a methodology makes sense when divorced from Platonic philosophy...

  17. Perspex machine: VII. The universal perspex machine

    Science.gov (United States)

    Anderson, James A. D. W.

    2006-01-01

    The perspex machine arose from the unification of projective geometry with the Turing machine. It uses a total arithmetic, called transreal arithmetic, that contains real arithmetic and allows division by zero. Transreal arithmetic is redefined here. The new arithmetic has both a positive and a negative infinity which lie at the extremes of the number line, and a number nullity that lies off the number line. We prove that nullity, 0/0, is a number. Hence a number may have one of four signs: negative, zero, positive, or nullity. It is, therefore, impossible to encode the sign of a number in one bit, as floating-point arithmetic attempts to do, resulting in the difficulty of having both positive and negative zeros and NaNs. Transrational arithmetic is consistent with Cantor arithmetic. In an extension to real arithmetic, the product of zero, an infinity, or nullity with its reciprocal is nullity, not unity. This avoids the usual contradictions that follow from allowing division by zero. Transreal arithmetic has a fixed algebraic structure and does not admit options as IEEE, floating-point arithmetic does. Most significantly, nullity has a simple semantics that is related to zero. Zero means "no value" and nullity means "no information." We argue that nullity is as useful to a manufactured computer as zero is to a human computer. The perspex machine is intended to offer one solution to the mind-body problem by showing how the computable aspects of mind and, perhaps, the whole of mind relates to the geometrical aspects of body and, perhaps, the whole of body. We review some of Turing's writings and show that he held the view that his machine has spatial properties. In particular, that it has the property of being a 7D lattice of compact spaces. Thus, we read Turing as believing that his machine relates computation to geometrical bodies. We simplify the perspex machine by substituting an augmented Euclidean geometry for projective geometry. This leads to a general

  18. Electrical engineering. Rotating machines: principles and constitution; Genie electrique. Machines tournantes: principes et constitution

    Energy Technology Data Exchange (ETDEWEB)

    Nogarede, B. [Ecole Nationale Superieure d' Electrotechnique, d' Electronique, d' Informatique, D' hydraulique, ENSEEIHT/INPT, LEEI, 31 - Toulouse (France)

    2001-02-01

    This article deals specifically with rotating machines with magnetic fields interaction. The elementary principles are globally analyzed and characterized using an original analytical approach. Some aspects and trends relative to the materials used are given. The last part treats of the methodological aspects of the optimal dimensioning of a machine according to given specifications and criteria: 1 - rotating machines with magnetic fields interaction (creation of rotating magnetic fields, energy conversion with rotating magnetic moments and fields interaction, structures with produced magnetic moments, structures with induced magnetic moments, switching notions); 2 - components of active parts and materials used (magnetic circuits and field sources, conductors and superconductors, electro-active materials); 3 - design of electromechanical converters (main steps of the design process, different methodological levels in presence, from the design to the dimensioned structure (optimized design)). (J.S.)

  19. Ontologies and adaptivity in dialogue for question answering

    CERN Document Server

    Sonntag, D

    2010-01-01

    Question answering (QA) has become one of the fastest growing topics in computational linguistics and information access. To advance research in the area of dialogue-based question answering, we propose a combination of methods from different scientific fields (i.e., Information Retrieval, Dialogue Systems, Semantic Web, and Machine Learning). This book sheds light on adaptable dialogue-based question answering. We demonstrate the technical and computational feasibility of the proposed ideas, the introspective methods in particular, by beginning with an extensive introduction to the dialogical

  20. Unproven (questionable) cancer therapies.

    Science.gov (United States)

    Brigden, M L

    1995-11-01

    More than half of all cancer patients use some form of alternative treatment during the course of their illness. Alternative therapies are often started early in patients' illness, and their use is frequently not acknowledged to health care professionals. Some alternative therapies are harmful, and their promoters may be fraudulent. Persons who try alternative cancer therapies may not be poorly educated but may ultimately abandon conventional treatment. Recent attention has focused on aspects of questionable therapies that make these treatments attractive to patients and that may be perceived as being deficient in the practice of conventional health care professionals. Physicians with patients with cancer should always make sure that unproven therapies are discussed early in the therapeutic relationship. They should also attempt to be aware of alternative therapies that are in vogue in their particular geographic area.

  1. From Questions to Queries

    Directory of Open Access Journals (Sweden)

    M. Drlík

    2007-12-01

    Full Text Available The extension of (Internet databases forceseveryone to become more familiar with techniques of datastorage and retrieval because users’ success often dependson their ability to pose right questions and to be able tointerpret their answers. University programs pay moreattention to developing database programming skills than todata exploitation skills. To educate our students to become“database users”, the authors intensively exploit supportivetools simplifying the production of database elements astables, queries, forms, reports, web pages, and macros.Videosequences demonstrating “standard operations” forcompleting them have been prepared to enhance out-ofclassroomlearning. The use of SQL and other professionaltools is reduced to the cases when the wizards are unable togenerate the intended construct.

  2. The social question revisited

    DEFF Research Database (Denmark)

    Kenneth, Petersson; Olsson, Ulf; Krejsler, John B.

    2015-01-01

    of social and political unrest, poverty and lack of morality. In the name of European Union social integration is thus organized differently as compared to former times. There are, nevertheless similarities. In both cases educational systems become key arenas for integrating social groups......The focus of this chapter is the re-installation of the social question as a historical practice. The purpose is to investigate how historic figures return and are applied in contemporary political discourses, more precisely in the context of education, education policy and teacher education...... and raising the level of knowledge and competences in society. Higher education, in this case teacher education, is supposed to develop potentials of individuals and maximize “their contribution to a sustainable and democratic knowledge-based society.” Consequently; student cohorts should reflect...

  3. The questions for Machiavelli

    Directory of Open Access Journals (Sweden)

    Lakićević Dragan D.

    2010-01-01

    Full Text Available The main intention of the work that deals with the Nicolo Machiavelli thought is to point out the obvious paradox between the high political goal and the legitimating of all possible means for its realization. Are evil deeds inevitable in the sphere of politics and under what circumstances the immorality contained in political acts could be transformed into common good? The text asks additional questions such as about the accomplishments of ambitious political projects, the relationship among the ideologist and the representative of political power, the transformations of the means into the ends, the use of violence and indoctrination in political acts, revolutionary and evolutionary political methods, etc. The author claims that political technologies recommended by Machiavelli basically haven't diminished, but have taken on more modern and more adequate forms.

  4. A Cognitive Systems Engineering Approach to Developing Human Machine Interface Requirements for New Technologies

    Science.gov (United States)

    Fern, Lisa Carolynn

    This dissertation examines the challenges inherent in designing and regulating to support human-automation interaction for new technologies that will be deployed into complex systems. A key question for new technologies with increasingly capable automation, is how work will be accomplished by human and machine agents. This question has traditionally been framed as how functions should be allocated between humans and machines. Such framing misses the coordination and synchronization that is needed for the different human and machine roles in the system to accomplish their goals. Coordination and synchronization demands are driven by the underlying human-automation architecture of the new technology, which are typically not specified explicitly by designers. The human machine interface (HMI), which is intended to facilitate human-machine interaction and cooperation, typically is defined explicitly and therefore serves as a proxy for human-automation cooperation requirements with respect to technical standards for technologies. Unfortunately, mismatches between the HMI and the coordination and synchronization demands of the underlying human-automation architecture can lead to system breakdowns. A methodology is needed that both designers and regulators can utilize to evaluate the predicted performance of a new technology given potential human-automation architectures. Three experiments were conducted to inform the minimum HMI requirements for a detect and avoid (DAA) system for unmanned aircraft systems (UAS). The results of the experiments provided empirical input to specific minimum operational performance standards that UAS manufacturers will have to meet in order to operate UAS in the National Airspace System (NAS). These studies represent a success story for how to objectively and systematically evaluate prototype technologies as part of the process for developing regulatory requirements. They also provide an opportunity to reflect on the lessons learned in order

  5. Automatic Chinese Factual Question Generation

    Science.gov (United States)

    Liu, Ming; Rus, Vasile; Liu, Li

    2017-01-01

    Question generation is an emerging research area of artificial intelligence in education. Question authoring tools are important in educational technologies, e.g., intelligent tutoring systems, as well as in dialogue systems. Approaches to generate factual questions, i.e., questions that have concrete answers, mainly make use of the syntactical…

  6. Scoping studies: advancing the methodology

    Directory of Open Access Journals (Sweden)

    O'Brien Kelly K

    2010-09-01

    Full Text Available Abstract Background Scoping studies are an increasingly popular approach to reviewing health research evidence. In 2005, Arksey and O'Malley published the first methodological framework for conducting scoping studies. While this framework provides an excellent foundation for scoping study methodology, further clarifying and enhancing this framework will help support the consistency with which authors undertake and report scoping studies and may encourage researchers and clinicians to engage in this process. Discussion We build upon our experiences conducting three scoping studies using the Arksey and O'Malley methodology to propose recommendations that clarify and enhance each stage of the framework. Recommendations include: clarifying and linking the purpose and research question (stage one; balancing feasibility with breadth and comprehensiveness of the scoping process (stage two; using an iterative team approach to selecting studies (stage three and extracting data (stage four; incorporating a numerical summary and qualitative thematic analysis, reporting results, and considering the implications of study findings to policy, practice, or research (stage five; and incorporating consultation with stakeholders as a required knowledge translation component of scoping study methodology (stage six. Lastly, we propose additional considerations for scoping study methodology in order to support the advancement, application and relevance of scoping studies in health research. Summary Specific recommendations to clarify and enhance this methodology are outlined for each stage of the Arksey and O'Malley framework. Continued debate and development about scoping study methodology will help to maximize the usefulness and rigor of scoping study findings within healthcare research and practice.

  7. Spiking neuron network Helmholtz machine.

    Science.gov (United States)

    Sountsov, Pavel; Miller, Paul

    2015-01-01

    An increasing amount of behavioral and neurophysiological data suggests that the brain performs optimal (or near-optimal) probabilistic inference and learning during perception and other tasks. Although many machine learning algorithms exist that perform inference and learning in an optimal way, the complete description of how one of those algorithms (or a novel algorithm) can be implemented in the brain is currently incomplete. There have been many proposed solutions that address how neurons can perform optimal inference but the question of how synaptic plasticity can implement optimal learning is rarely addressed. This paper aims to unify the two fields of probabilistic inference and synaptic plasticity by using a neuronal network of realistic model spiking neurons to implement a well-studied computational model called the Helmholtz Machine. The Helmholtz Machine is amenable to neural implementation as the algorithm it uses to learn its parameters, called the wake-sleep algorithm, uses a local delta learning rule. Our spiking-neuron network implements both the delta rule and a small example of a Helmholtz machine. This neuronal network can learn an internal model of continuous-valued training data sets without supervision. The network can also perform inference on the learned internal models. We show how various biophysical features of the neural implementation constrain the parameters of the wake-sleep algorithm, such as the duration of the wake and sleep phases of learning and the minimal sample duration. We examine the deviations from optimal performance and tie them to the properties of the synaptic plasticity rule.

  8. Machinability of advanced materials

    CERN Document Server

    Davim, J Paulo

    2014-01-01

    Machinability of Advanced Materials addresses the level of difficulty involved in machining a material, or multiple materials, with the appropriate tooling and cutting parameters.  A variety of factors determine a material's machinability, including tool life rate, cutting forces and power consumption, surface integrity, limiting rate of metal removal, and chip shape. These topics, among others, and multiple examples comprise this research resource for engineering students, academics, and practitioners.

  9. 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.

  10. Support vector machines applications

    CERN Document Server

    Guo, Guodong

    2014-01-01

    Support vector machines (SVM) have both a solid mathematical background and good performance in practical applications. This book focuses on the recent advances and applications of the SVM in different areas, such as image processing, medical practice, computer vision, pattern recognition, machine learning, applied statistics, business intelligence, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications, especially some recent advances.

  11. Machining of titanium alloys

    CERN Document Server

    2014-01-01

    This book presents a collection of examples illustrating the resent research advances in the machining of titanium alloys. These materials have excellent strength and fracture toughness as well as low density and good corrosion resistance; however, machinability is still poor due to their low thermal conductivity and high chemical reactivity with cutting tool materials. This book presents solutions to enhance machinability in titanium-based alloys and serves as a useful reference to professionals and researchers in aerospace, automotive and biomedical fields.

  12. Rotating electrical machines

    CERN Document Server

    Le Doeuff, René

    2013-01-01

    In this book a general matrix-based approach to modeling electrical machines is promulgated. The model uses instantaneous quantities for key variables and enables the user to easily take into account associations between rotating machines and static converters (such as in variable speed drives).   General equations of electromechanical energy conversion are established early in the treatment of the topic and then applied to synchronous, induction and DC machines. The primary characteristics of these machines are established for steady state behavior as well as for variable speed scenarios. I

  13. Chaotic Boltzmann machines.

    Science.gov (United States)

    Suzuki, Hideyuki; Imura, Jun-ichi; Horio, Yoshihiko; Aihara, Kazuyuki

    2013-01-01

    The chaotic Boltzmann machine proposed in this paper is a chaotic pseudo-billiard system that works as a Boltzmann machine. Chaotic Boltzmann machines are shown numerically to have computing abilities comparable to conventional (stochastic) Boltzmann machines. Since no randomness is required, efficient hardware implementation is expected. Moreover, the ferromagnetic phase transition of the Ising model is shown to be characterised by the largest Lyapunov exponent of the proposed system. In general, a method to relate probabilistic models to nonlinear dynamics by derandomising Gibbs sampling is presented.

  14. Tribology in machine design

    CERN Document Server

    Stolarski, Tadeusz

    1999-01-01

    ""Tribology in Machine Design is strongly recommended for machine designers, and engineers and scientists interested in tribology. It should be in the engineering library of companies producing mechanical equipment.""Applied Mechanics ReviewTribology in Machine Design explains the role of tribology in the design of machine elements. It shows how algorithms developed from the basic principles of tribology can be used in a range of practical applications within mechanical devices and systems.The computer offers today's designer the possibility of greater stringen

  15. Debugging the virtual machine

    Energy Technology Data Exchange (ETDEWEB)

    Miller, P.; Pizzi, R.

    1994-09-02

    A computer program is really nothing more than a virtual machine built to perform a task. The program`s source code expresses abstract constructs using low level language features. When a virtual machine breaks, it can be very difficult to debug because typical debuggers provide only low level machine implementation in formation to the software engineer. We believe that the debugging task can be simplified by introducing aspects of the abstract design into the source code. We introduce OODIE, an object-oriented language extension that allows programmers to specify a virtual debugging environment which includes the design and abstract data types of the virtual machine.

  16. Electrical machines & drives

    CERN Document Server

    Hammond, P

    1985-01-01

    Containing approximately 200 problems (100 worked), the text covers a wide range of topics concerning electrical machines, placing particular emphasis upon electrical-machine drive applications. The theory is concisely reviewed and focuses on features common to all machine types. The problems are arranged in order of increasing levels of complexity and discussions of the solutions are included where appropriate to illustrate the engineering implications. This second edition includes an important new chapter on mathematical and computer simulation of machine systems and revised discussions o

  17. 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

  18. Induction machine handbook

    CERN Document Server

    Boldea, Ion

    2002-01-01

    Often called the workhorse of industry, the advent of power electronics and advances in digital control are transforming the induction motor into the racehorse of industrial motion control. Now, the classic texts on induction machines are nearly three decades old, while more recent books on electric motors lack the necessary depth and detail on induction machines.The Induction Machine Handbook fills industry's long-standing need for a comprehensive treatise embracing the many intricate facets of induction machine analysis and design. Moving gradually from simple to complex and from standard to

  19. Machine learning analysis of binaural rowing sounds

    DEFF Research Database (Denmark)

    Johard, Leonard; Ruffaldi, Emanuele; Hoffmann, Pablo F.

    2011-01-01

    Techniques for machine hearing are increasing their potentiality due to new application domains. In this work we are addressing the analysis of rowing sounds in natural context for the purpose of supporting a training system based on virtual environments. This paper presents the acquisition metho...... methodology and the evaluation of different machine learning techniques for classifying rowing-sound data. We see that a combination of principal component analysis and shallow networks perform equally well as deep architectures, while being much faster to train.......Techniques for machine hearing are increasing their potentiality due to new application domains. In this work we are addressing the analysis of rowing sounds in natural context for the purpose of supporting a training system based on virtual environments. This paper presents the acquisition...

  20. Computer and machine vision theory, algorithms, practicalities

    CERN Document Server

    Davies, E R

    2012-01-01

    Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practice New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision Necessary mathematics and essential theory are made approachable by careful explanations and well-il...

  1. Machine learning paradigms applications in recommender systems

    CERN Document Server

    Lampropoulos, Aristomenis S

    2015-01-01

    This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the monograph at hand. Specifically, the books approach is based on one-class classification methodologies that have been appearing in recent machine learning research. The blending of recommender systems and one-class classification provides a new very fertile field for research, innovation and development with potential applications in “big data” as well as “sparse data” problems. The book will be useful to researchers, practitioners and graduate students dealing with problems of extensive and complex data. It is intended for both the expert/researcher in the fields of Pattern Recognition, Machine Learning and ...

  2. Nanodesign: some basic questions

    CERN Document Server

    Schommers, Wolfram

    2013-01-01

    There is no doubt that nanoscience will be the dominant direction for technology in this century, and that this science will influence our lives to a large extent as well as open completely new perspectives on all scientific and technological disciplines. To be able to produce optimal nanosystems with tailor-made properties, it is necessary to analyze and construct such systems in advance by adequate theoretical and computational methods. Since we work in nanoscience and nanotechnology at the ultimate level, we have to apply the basic laws of physics. What methods and tools are relevant here? The book gives an answer to this question. The background of the theoretical methods and tools is critically discussed, and also the world view on which these physical laws are based. Such a debate is not only of academic interest but is of highly general concern, and this is because we constantly move in nanoscience and nanotechnology between two extreme poles, between infinite life and total destruction . On the one ...

  3. Virtual machine vs Real Machine: Security Systems

    Directory of Open Access Journals (Sweden)

    Dr. C. Suresh Gnana Das

    2009-08-01

    Full Text Available This paper argues that the operating system and applications currently running on a real machine should relocate into a virtual machine. This structure enables services to be added below the operating system and to do so without trusting or modifying the operating system or applications. To demonstrate the usefulness of this structure, we describe three services that take advantage of it: secure logging, intrusion prevention and detection, and environment migration. In particular, we can provide services below the guest operating system without trusting or modifying it. We believe providing services at this layer are especially useful for enhancing security and mobility. This position paper describes the general benefits and challenges that arise from running most applications in a virtual machine, and then describes some example services and alternative ways to provide those services.

  4. Questioning Strategies of English Teachers

    Institute of Scientific and Technical Information of China (English)

    李梅

    2014-01-01

    AMY.B.M.TSUI thinks that most of the interactive learning starts with the teachers ’questioning. Richard and Lock-art (1994) think that the proper questioning can help the students to acquire the second language. Jin Chuanbao ( 1997) even thinks that the questioning process of the teachers should become the core of the class. Though almost all of the teachers are ques-tioning, they know little about the questioning strategies. In this case, it is urgent to study this subject. The present study reveals some problems of four teachers’questioning strategies in Junior Middle School. I hope some helpful ideas can be found in the thesis.

  5. A question of authority

    Energy Technology Data Exchange (ETDEWEB)

    Morgan, Earl W.(BATTELLE (PACIFIC NW LAB))

    2003-10-15

    A Question of Authority. This article deals with a certain scenario and several reviewers are to give their opinion. This one is in regards to - Suspending an IACUC approved animal use activity is about the last thing a research institution wants to do. Consider the predicament that the Great Eastern University IACUC faced when Dr. Janet Jenkins, the Attending Veterinarian, suspended all animal use activity on an approved protocol of Dr. Roy Maslo. Jenkins had the IACUCs authority to temporarily suspend a protocol, subject to review by a quorum of the full committee. She alleged that Maslo used mice from his breeding colony, not purchased rats, to begin a new study. Jenkins saw Maslos technicians bringing mouse cages to a procedure room and setting up for a minor survival surgery. She asked them to wait until she clarified things as she felt confident that the protocol called for rats. She called Maslo and asked him if the study had been approved for mice, to which he responded affirmatively. Still not feeling quite assured, she went to her office, reviewed the protocol, and found only rat studies described. She also called the IACUC office to see if there were any approved amendments which she may not have received, and was told that there were none. By the time she returned, one procedure was completed. Understandably upset, she informed the technicians and Maslo that any further activity on the protocol was suspended until the issue was resolved. Jenkins informed the IACUC chairman who in turned called an emergency meeting of the committee.

  6. Data Mining and Machine Learning in Astronomy

    CERN Document Server

    Ball, Nicholas M

    2009-01-01

    We review the current state of data mining and machine learning in Astronomy. 'Data Mining' can have a somewhat mixed connotation from the point of view of a researcher in this field. On the one hand, it is a powerful approach, holding the potential to fully exploit the exponentially increasing amount of available data, which promises almost limitless scientific advances. On the other, it can be the application of black-box computing algorithms that at best give little physical insight, and at worst provide questionable results. Here, we give an overview of the entire data mining process, from data collection through the interpretation of results. We cover common machine learning algorithms, such as artificial neural networks and support vector machines; applications from a broad range of Astronomy, with an emphasis on those where data mining resulted in improved physical insights, and important current and future directions, including the construction of full probability density functions, parallel algorithm...

  7. Machine learning: Trends, perspectives, and prospects.

    Science.gov (United States)

    Jordan, M I; Mitchell, T M

    2015-07-17

    Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core of artificial intelligence and data science. Recent progress in machine learning has been driven both by the development of new learning algorithms and theory and by the ongoing explosion in the availability of online data and low-cost computation. The adoption of data-intensive machine-learning methods can be found throughout science, technology and commerce, leading to more evidence-based decision-making across many walks of life, including health care, manufacturing, education, financial modeling, policing, and marketing.

  8. Stirling machine operating experience

    Energy Technology Data Exchange (ETDEWEB)

    Ross, B. [Stirling Technology Co., Richland, WA (United States); Dudenhoefer, J.E. [Lewis Research Center, Cleveland, OH (United States)

    1994-09-01

    Numerous Stirling machines have been built and operated, but the operating experience of these machines is not well known. It is important to examine this operating experience in detail, because it largely substantiates the claim that stirling machines are capable of reliable and lengthy operating lives. The amount of data that exists is impressive, considering that many of the machines that have been built are developmental machines intended to show proof of concept, and are not expected to operate for lengthy periods of time. Some Stirling machines (typically free-piston machines) achieve long life through non-contact bearings, while other Stirling machines (typically kinematic) have achieved long operating lives through regular seal and bearing replacements. In addition to engine and system testing, life testing of critical components is also considered. The record in this paper is not complete, due to the reluctance of some organizations to release operational data and because several organizations were not contacted. The authors intend to repeat this assessment in three years, hoping for even greater participation.

  9. Perpetual Motion Machine

    Directory of Open Access Journals (Sweden)

    D. Tsaousis

    2008-01-01

    Full Text Available Ever since the first century A.D. there have been relative descriptions of known devices as well as manufactures for the creation of perpetual motion machines. Although physics has led, with two thermodynamic laws, to the opinion that a perpetual motion machine is impossible to be manufactured, inventors of every age and educational level appear to claim that they have invented something «entirely new» or they have improved somebody else’s invention, which «will function henceforth perpetually»! However the fact of the failure in manufacturing a perpetual motion machine till now, it does not mean that countless historical elements for these fictional machines become indifferent. The discussion on every version of a perpetual motion machine on the one hand gives the chance to comprehend the inventor’s of each period level of knowledge and his way of thinking, and on the other hand, to locate the points where this «perpetual motion machine» clashes with the laws of nature and that’s why it is impossible to have been manufactured or have functioned. The presentation of a new «perpetual motion machine» has excited our interest to locate its weak points. According to the designer of it the machine functions with the work produced by the buoyant force

  10. Microsoft Azure machine learning

    CERN Document Server

    Mund, Sumit

    2015-01-01

    The book is intended for those who want to learn how to use Azure Machine Learning. Perhaps you already know a bit about Machine Learning, but have never used ML Studio in Azure; or perhaps you are an absolute newbie. In either case, this book will get you up-and-running quickly.

  11. Reactive Turing machines

    NARCIS (Netherlands)

    Baeten, J.C.M.; Luttik, B.; Tilburg, P.J.A. van

    2013-01-01

    We propose reactive Turing machines (RTMs), extending classical Turing machines with a process-theoretical notion of interaction, and use it to define a notion of executable transition system. We show that every computable transition system with a bounded branching degree is simulated modulo diverge

  12. Coordinate measuring machines

    DEFF Research Database (Denmark)

    De Chiffre, Leonardo

    This document is used in connection with three exercises of 2 hours duration as a part of the course GEOMETRICAL METROLOGY AND MACHINE TESTING. The exercises concern three aspects of coordinate measuring: 1) Measuring and verification of tolerances on coordinate measuring machines, 2) Traceability...

  13. Simple Machine Junk Cars

    Science.gov (United States)

    Herald, Christine

    2010-01-01

    During the month of May, the author's eighth-grade physical science students study the six simple machines through hands-on activities, reading assignments, videos, and notes. At the end of the month, they can easily identify the six types of simple machine: inclined plane, wheel and axle, pulley, screw, wedge, and lever. To conclude this unit,…

  14. Human Machine Learning Symbiosis

    Science.gov (United States)

    Walsh, Kenneth R.; Hoque, Md Tamjidul; Williams, Kim H.

    2017-01-01

    Human Machine Learning Symbiosis is a cooperative system where both the human learner and the machine learner learn from each other to create an effective and efficient learning environment adapted to the needs of the human learner. Such a system can be used in online learning modules so that the modules adapt to each learner's learning state both…

  15. Machine learning with R

    CERN Document Server

    Lantz, Brett

    2015-01-01

    Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.

  16. A Methodology for Software Cost Estimation Using Machine Learning Techniques

    Science.gov (United States)

    1993-09-03

    The correlation coefficient, R-squared, of 0.726 indicates that this estimate has a fairly strong relationship with the actual project effort. Why...networks could be considered truly accurate, the results of this experiment indicate that networks are worth strong consideration. The best indication that...ExpOneM 1.20 1.12 1.05 (B" ehm , 1981.P& 117) This comparison between the genetic algorithm derived values and Boehm’s values for the coefficients and

  17. Antibiotic Resistance Questions and Answers

    Science.gov (United States)

    ... on the Farm Get Smart About Antibiotics Week Antibiotic Resistance Questions and Answers Language: English (US) Español ( ... Many ear infections Top of Page Questions about Antibiotic Resistance Examples of How Antibiotic Resistance Spreads Click for ...

  18. 15 CFR 700.31 - Metalworking machines.

    Science.gov (United States)

    2010-01-01

    ... Drilling and tapping machines Electrical discharge, ultrasonic and chemical erosion machines Forging..., power driven Machining centers and way-type machines Manual presses Mechanical presses, power...

  19. 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 –...

  20. Micro-machining.

    Science.gov (United States)

    Brinksmeier, Ekkard; Preuss, Werner

    2012-08-28

    Manipulating bulk material at the atomic level is considered to be the domain of physics, chemistry and nanotechnology. However, precision engineering, especially micro-machining, has become a powerful tool for controlling the surface properties and sub-surface integrity of the optical, electronic and mechanical functional parts in a regime where continuum mechanics is left behind and the quantum nature of matter comes into play. The surprising subtlety of micro-machining results from the extraordinary precision of tools, machines and controls expanding into the nanometre range-a hundred times more precise than the wavelength of light. In this paper, we will outline the development of precision engineering, highlight modern achievements of ultra-precision machining and discuss the necessity of a deeper physical understanding of micro-machining.

  1. 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.

  2. The Questions of Liberal Education

    Science.gov (United States)

    Arcilla, Rene V.

    2007-01-01

    There is a certain kind of liberal educator who bases his or her practice on a particular attitude toward the "Big Questions." The questions of fundamental literacy in K-12 education, or of expertise in vocational and professional education, may be just as important, but they are seen as quite different in kind. Indeed, the questions of liberal…

  3. The Hermeneutics of Educational Questioning

    Science.gov (United States)

    Bingham, Charles

    2005-01-01

    This article looks at the practice of educational questioning using the philosophical hermeneutics of Hans-Georg Gadamer. It first looks at questions and statements from a hermeneutic perspective, demonstrating some of the differences and similarities between the two. It then details Gadamer's notion of the "true question", asking whether it is…

  4. Disjunctive questions, intonation, and highlighting

    NARCIS (Netherlands)

    F. Roelofsen; S. van Gool

    2009-01-01

    This paper examines how intonation affects the interpretation of disjunctive questions. The semantic effect of a question is taken to be three-fold. First, it raises an issue. In the tradition of inquisitive semantics, we model this by assuming that a question proposes several possible updates of th

  5. Does Anyone Have Any Questions?

    Science.gov (United States)

    Finkelstein, Judith M.; Ritter, Virginia F.

    The purpose of this study was to determine if answering a child's question with a question produces further analytical questioning by the child. A sample of 80 children in nursery-kindergarten, first, second and third grades (ages ranging from 4-9 years) were divided into two groups. An abstract painting by Kandinsky was shown individually to each…

  6. The Hermeneutics of Educational Questioning

    Science.gov (United States)

    Bingham, Charles

    2005-01-01

    This article looks at the practice of educational questioning using the philosophical hermeneutics of Hans-Georg Gadamer. It first looks at questions and statements from a hermeneutic perspective, demonstrating some of the differences and similarities between the two. It then details Gadamer's notion of the "true question", asking whether it is…

  7. Children Who Question Their Heterosexuality

    Science.gov (United States)

    Carver, Priscilla R.; Egan, Susan K.; Perry, David G.

    2004-01-01

    Many gay, lesbian, and bisexual adults report a period of childhood sexual questioning--an uneasy questioning of their heterosexuality brought on by same-sex attractions and motivating same-sex sexual exploration. This article evaluates hypotheses about the correlates, causes, and consequences of childhood sexual questioning. Participants were 182…

  8. Analysis of questioned documents: a review.

    Science.gov (United States)

    Calcerrada, Matías; García-Ruiz, Carmen

    2015-01-01

    During the last years (2000-2014), many publications concerning the forensic analysis of questioned documents have been published, and new techniques and methodologies are nowadays employed to overcome forensic caseworks. This article reviews a comprehensive collection of the works focused on this issue, including dating studies, the analysis of inks from pens and printers, the analysis of paper, the analysis of other samples related to questioned documents and studies on intersecting lines. These sections highlight the most relevant analytical studies by a wide range of analytical techniques. Separation and spectrometric techniques are critically discussed and compared, emphasizing the advantages and disadvantages of each one. Finally, concluding remarks on the research published are included.

  9. Dual Numbers Approach in Multiaxis Machines Error Modeling

    Directory of Open Access Journals (Sweden)

    Jaroslav Hrdina

    2014-01-01

    Full Text Available Multiaxis machines error modeling is set in the context of modern differential geometry and linear algebra. We apply special classes of matrices over dual numbers and propose a generalization of such concept by means of general Weil algebras. We show that the classification of the geometric errors follows directly from the algebraic properties of the matrices over dual numbers and thus the calculus over the dual numbers is the proper tool for the methodology of multiaxis machines error modeling.

  10. STRUCTURAL THERMODYNAMIC ANALYSIS OF VAPOR COMPRESSION REFRIGERATION MACHINE

    OpenAIRE

    Д. Х. ХАРЛАМПИДИ; Тарасова, В. А.

    2014-01-01

    Reported about a method for conducting a structural analysis of the thermodynamic refrigerating machine on the basis of separation exergy of destruction on the external and internal independent parts, as well as removable and its components are inevitable. The methodology has allowed complex take into account the influence on the efficiency of the refrigerating machine thermal-hydraulic losses and estimates the components of the exergy destruction in the basic elements. The analysis of charac...

  11. 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.

  12. Micro-machined resonator oscillator

    Science.gov (United States)

    Koehler, Dale R.; Sniegowski, Jeffry J.; Bivens, Hugh M.; Wessendorf, Kurt O.

    1994-01-01

    A micro-miniature resonator-oscillator is disclosed. Due to the miniaturization of the resonator-oscillator, oscillation frequencies of one MHz and higher are utilized. A thickness-mode quartz resonator housed in a micro-machined silicon package and operated as a "telemetered sensor beacon" that is, a digital, self-powered, remote, parameter measuring-transmitter in the FM-band. The resonator design uses trapped energy principles and temperature dependence methodology through crystal orientation control, with operation in the 20-100 MHz range. High volume batch-processing manufacturing is utilized, with package and resonator assembly at the wafer level. Unique design features include squeeze-film damping for robust vibration and shock performance, capacitive coupling through micro-machined diaphragms allowing resonator excitation at the package exterior, circuit integration and extremely small (0.1 in. square) dimensioning. A family of micro-miniature sensor beacons is also disclosed with widespread applications as bio-medical sensors, vehicle status monitors and high-volume animal identification and health sensors. The sensor family allows measurement of temperatures, chemicals, acceleration and pressure. A microphone and clock realization is also available.

  13. Arts and Techniques of Questioning

    Institute of Scientific and Technical Information of China (English)

    管楠

    2012-01-01

      Most learners learn English from teachers in classrooms, therefore, classroom instruction is very important. However, teachers’questioning plays a very significant part in classroom teaching. It is not only an important part of classroom interaction but also an effective way of learning second language as wel. On the one hand, it is through question and answer exchange that teachers interactwithstudents.Onthe other hand, it isalsothroughinteractionwiththeirteachersand peers that ESLlearners learn the target language. Teachers’ aims of questioning, question types, teachers’modification of questions, the wait-time, the feedback and the assessment providedby teacherswil affectclassroom interaction.

  14. Reachability problems for communicating finite state machines

    CERN Document Server

    Pachl, Jan

    2012-01-01

    The paper deals with the verification of reachability properties in a commonly used state transition model of communication protocols, which consists of finite state machines connected by potentially unbounded FIFO channels. Although simple reachability problems are undecidable for general protocols with unbounded channels, they are decidable for the protocols with the recognizable channel property. The decidability question is open for the protocols with the rational channel property.

  15. Volumetric verification of multiaxis machine tool using laser tracker.

    Science.gov (United States)

    Aguado, Sergio; Samper, David; Santolaria, Jorge; Aguilar, Juan José

    2014-01-01

    This paper aims to present a method of volumetric verification in machine tools with linear and rotary axes using a laser tracker. Beyond a method for a particular machine, it presents a methodology that can be used in any machine type. Along this paper, the schema and kinematic model of a machine with three axes of movement, two linear and one rotational axes, including the measurement system and the nominal rotation matrix of the rotational axis are presented. Using this, the machine tool volumetric error is obtained and nonlinear optimization techniques are employed to improve the accuracy of the machine tool. The verification provides a mathematical, not physical, compensation, in less time than other methods of verification by means of the indirect measurement of geometric errors of the machine from the linear and rotary axes. This paper presents an extensive study about the appropriateness and drawbacks of the regression function employed depending on the types of movement of the axes of any machine. In the same way, strengths and weaknesses of measurement methods and optimization techniques depending on the space available to place the measurement system are presented. These studies provide the most appropriate strategies to verify each machine tool taking into consideration its configuration and its available work space.

  16. 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

  17. The basic anaesthesia machine.

    Science.gov (United States)

    Gurudatt, Cl

    2013-09-01

    After WTG Morton's first public demonstration in 1846 of use of ether as an anaesthetic agent, for many years anaesthesiologists did not require a machine to deliver anaesthesia to the patients. After the introduction of oxygen and nitrous oxide in the form of compressed gases in cylinders, there was a necessity for mounting these cylinders on a metal frame. This stimulated many people to attempt to construct the anaesthesia machine. HEG Boyle in the year 1917 modified the Gwathmey's machine and this became popular as Boyle anaesthesia machine. Though a lot of changes have been made for the original Boyle machine still the basic structure remains the same. All the subsequent changes which have been brought are mainly to improve the safety of the patients. Knowing the details of the basic machine will make the trainee to understand the additional improvements. It is also important for every practicing anaesthesiologist to have a thorough knowledge of the basic anaesthesia machine for safe conduct of anaesthesia.

  18. The basic anaesthesia machine

    Directory of Open Access Journals (Sweden)

    C L Gurudatt

    2013-01-01

    Full Text Available After WTG Morton′s first public demonstration in 1846 of use of ether as an anaesthetic agent, for many years anaesthesiologists did not require a machine to deliver anaesthesia to the patients. After the introduction of oxygen and nitrous oxide in the form of compressed gases in cylinders, there was a necessity for mounting these cylinders on a metal frame. This stimulated many people to attempt to construct the anaesthesia machine. HEG Boyle in the year 1917 modified the Gwathmey′s machine and this became popular as Boyle anaesthesia machine. Though a lot of changes have been made for the original Boyle machine still the basic structure remains the same. All the subsequent changes which have been brought are mainly to improve the safety of the patients. Knowing the details of the basic machine will make the trainee to understand the additional improvements. It is also important for every practicing anaesthesiologist to have a thorough knowledge of the basic anaesthesia machine for safe conduct of anaesthesia.

  19. Stereoscopic display in a slot machine

    Science.gov (United States)

    Laakso, M.

    2012-03-01

    This paper reports the results of a user trial with a slot machine equipped with a stereoscopic display. The main research question was to find out what kind of added value does stereoscopic 3D (S-3D) bring to slot games? After a thorough literature survey, a novel gaming platform was designed and implemented. Existing multi-game slot machine "Nova" was converted to "3DNova" by replacing the monitor with an S-3D display and converting six original games to S-3D format. To evaluate the system, several 3DNova machines were put available for players for four months. Both qualitative and quantitative analysis was carried out from statistical values, questionnaires and observations. According to the results, people find the S-3D concept interesting but the technology is not optimal yet. Young adults and adults were fascinated by the system, older people were more cautious. Especially the need to wear stereoscopic glasses provide a challenge; ultimate system would probably use autostereoscopic technology. Also the games should be designed to utilize its full power. The main contributions of this paper are lessons learned from creating an S-3D slot machine platform and novel information about human factors related to stereoscopic slot machine gaming.

  20. Developing the Business Model – a Methodology for Virtual Enterprises

    DEFF Research Database (Denmark)

    Tølle, Martin; Vesterager, Johan

    2003-01-01

    This chapter presents a methodology to develop Virtual Enterprises (VEs). This Virtual Enterprise Methodology (VEM) outlines activities to consider when setting up and managing virtual enterprises. As a methodology the VEM helps companies to ask the right questions when preparing for, and setting...

  1. Can multiple-choice questions simulate free-response questions?

    CERN Document Server

    Lin, Shih-Yin

    2016-01-01

    We discuss a study to evaluate the extent to which free-response questions could be approximated by multiple-choice equivalents. Two carefully designed research-based multiple-choice questions were transformed into a free-response format and administered on the final exam in a calculus-based introductory physics course. The original multiple-choice questions were administered in another similar introductory physics course on final exam. Findings suggest that carefully designed multiple-choice questions can reflect the relative performance of the free-response questions while maintaining the benefits of ease of grading and quantitative analysis, especially if the different choices in the multiple-choice questions are weighted to reflect the different levels of understanding that students display.

  2. Machine Learning and Conflict Prediction: A Use Case

    Directory of Open Access Journals (Sweden)

    Chris Perry

    2013-10-01

    Full Text Available For at least the last two decades, the international community in general and the United Nations specifically have attempted to develop robust, accurate and effective conflict early warning system for conflict prevention. One potential and promising component of integrated early warning systems lies in the field of machine learning. This paper aims at giving conflict analysis a basic understanding of machine learning methodology as well as to test the feasibility and added value of such an approach. The paper finds that the selection of appropriate machine learning methodologies can offer substantial improvements in accuracy and performance. It also finds that even at this early stage in testing machine learning on conflict prediction, full models offer more predictive power than simply using a prior outbreak of violence as the leading indicator of current violence. This suggests that a refined data selection methodology combined with strategic use of machine learning algorithms could indeed offer a significant addition to the early warning toolkit. Finally, the paper suggests a number of steps moving forward to improve upon this initial test methodology.

  3. 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.

  4. Fundamentals of machine design

    CERN Document Server

    Karaszewski, Waldemar

    2011-01-01

    A forum of researchers, educators and engineers involved in various aspects of Machine Design provided the inspiration for this collection of peer-reviewed papers. The resultant dissemination of the latest research results, and the exchange of views concerning the future research directions to be taken in this field will make the work of immense value to all those having an interest in the topics covered. The book reflects the cooperative efforts made in seeking out the best strategies for effecting improvements in the quality and the reliability of machines and machine parts and for extending

  5. Machine Tool Software

    Science.gov (United States)

    1988-01-01

    A NASA-developed software package has played a part in technical education of students who major in Mechanical Engineering Technology at William Rainey Harper College. Professor Hack has been using (APT) Automatically Programmed Tool Software since 1969 in his CAD/CAM Computer Aided Design and Manufacturing curriculum. Professor Hack teaches the use of APT programming languages for control of metal cutting machines. Machine tool instructions are geometry definitions written in APT Language to constitute a "part program." The part program is processed by the machine tool. CAD/CAM students go from writing a program to cutting steel in the course of a semester.

  6. Analysis of synchronous machines

    CERN Document Server

    Lipo, TA

    2012-01-01

    Analysis of Synchronous Machines, Second Edition is a thoroughly modern treatment of an old subject. Courses generally teach about synchronous machines by introducing the steady-state per phase equivalent circuit without a clear, thorough presentation of the source of this circuit representation, which is a crucial aspect. Taking a different approach, this book provides a deeper understanding of complex electromechanical drives. Focusing on the terminal rather than on the internal characteristics of machines, the book begins with the general concept of winding functions, describing the placeme

  7. Virtual Machine Introspection

    Directory of Open Access Journals (Sweden)

    S C Rachana

    2014-06-01

    Full Text Available Cloud computing is an Internet-based computing solution which provides the resources in an effective manner. A very serious issue in cloud computing is security which is a major obstacle for the adoption of cloud. The most important threats of cloud computing are Multitenancy, Availability, Loss of control, Loss of Data, outside attacks, DOS attacks, malicious insiders, etc. Among many security issues in cloud, the Virtual Machine Security is one of the very serious issues. Thus, monitoring of virtual machine is essential. The paper proposes a Virtual Network Introspection [VMI] System to secure the Virtual machines from Distributed Denial of Service [DDOS] and Zombie attacks.

  8. Virtual Machine Introspection

    Directory of Open Access Journals (Sweden)

    S C Rachana

    2015-11-01

    Full Text Available Cloud computing is an Internet-based computing solution which provides the resources in an effective manner. A very serious issue in cloud computing is security which is a major obstacle for the adoption of cloud. The most important threats of cloud computing are Multitenancy, Availability, Loss of control, Loss of Data, outside attacks, DOS attacks, malicious insiders, etc. Among many security issues in cloud, the Virtual Machine Security is one of the very serious issues. Thus, monitoring of virtual machine is essential. The paper proposes a Virtual Network Introspection [VMI] System to secure the Virtual machines from Distributed Denial of Service [DDOS] and Zombie attacks.

  9. Machine Learning for Hackers

    CERN Document Server

    Conway, Drew

    2012-01-01

    If you're an experienced programmer interested in crunching data, this book will get you started with machine learning-a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyz

  10. ANALYSIS OF PARAMETERS AFFECTING THE QUALITY OF A CUTTING MACHINE

    Directory of Open Access Journals (Sweden)

    Iveta Onderová

    2014-02-01

    Full Text Available The quality of cutting machines is affected by several factors that can be directly or indirectly influenced by manufacturers, technicians and users of machine tools. The most critical qualitative evaluation parameters of machine tools include accuracy and stability. Investigations of accuracy and repeatable positioning accuracy were essential for the research presented in this paper. The aim was to develop and experimentally verify the design of a methodology for cutting centers aimed at achieving the desired working precision. Before working on the topic described here, it was necessary to make several scientific analyses, which are summarized in this paper. We can build on the initial working hypothesis that by improving the technological parameters (e.g. by increasing the working speed of the machine, or by improving the precision of the positioning the quality of the cutting machine will also be improved. For the purposes of our study, several investigated parameters were set affecting positioning accuracy, such as rigidity, positioning speed, etc. First, the stiffness of the portal structure of the cutting machine was analyzed. FEM analysis was used to investigate several alternative structures of the cutting machine, and also an innovative solution for beam mounting. The second step was to integrate two types of drives into the design of the cutting machine. The first drive is a classic rack and pinion drive for cutting machines. To increase (improve the working speed of the machine, linear motors were designed as an alternative drive. The portal of the cutting machine was designed for a working speed of 260mmin−1 and acceleration of 25 m. s−2. The third step was based on the results of the analysis. In collaboration with Microstep, an experimental cutting machine in a portal version was produced using linear synchronous motors driving the portal on both sides, and with direct linear metering of its position. In the fourth step, an

  11. Human and machine perception communication, interaction, and integration

    CERN Document Server

    Cantoni, Virginio; Setti, Alessandra

    2005-01-01

    The theme of this book on human and machine perception is communication, interaction, and integration. For each basic topic there are invited lectures, corresponding to approaches in nature and machines, and a panel discussion. The lectures present the state of the art, outlining open questions and stressing synergies among the disciplines related to perception. The panel discussions are forums for open debate. The wide spectrum of topics allows comparison and synergy and can stimulate new approaches.

  12. Unipolar Electric Machines with Liquid-Metal Current Pickup,

    Science.gov (United States)

    1984-03-08

    A new homopolar motor , e4ournal of the Franklin Institute*. 1954, v. 258, Ne 1. %4 144093, Bjo.1.leTeJb H3o6peTeHxA. 1962,. 14 1. 30. X oao p o a...VIII. Motor Mode of Unipolar Electrical Machine ............... 301 Chapter IX. Bases of Theory and Calculation of Nonpolar Dynamos without...unipolar electric motors . Are examined questions of the classification of acyclic machines, their electromagnetic field, calculation of magnetic circuit

  13. Fusing Manual and Machine Feedback in Biomedical Domain

    Science.gov (United States)

    2014-11-01

    Fusing manual and machine feedback in biomedical domain 1Jainisha Sankhavara, 1Fenny Thakrar, 2Shamayeeta Sarkar, 1Prasenjit Majumder 1DA-IICT...to obtain efficient biomedical document retrieval. We focused on fusing manual and machine feedback runs. Fusion run performs better and gives...retrieval of biomedical articles relevant for answering generic clini- cal questions about medical records. There are 30 topics provided, each

  14. Energy-Consumption Factors of Air-Stream Moulding Machines

    Directory of Open Access Journals (Sweden)

    K. Smyksy

    2012-09-01

    Full Text Available In this article, an outline of the key questions connected with the essential problems of energy-consumption of air-stream mouldingmachines has been presented. Research results and calculations of requisite parameters appraisable of energy-consumption of air-streammoulding machines have been supplemented also by the data analysis of offer of the moulding machines manufacturers. The attention onconstructional and technological factors which are favourable for the diminution of energy-consuming of the moulding process has beenpaid.

  15. Some relations between quantum Turing machines and Turing machines

    CERN Document Server

    Sicard, A; Sicard, Andrés; Vélez, Mario

    1999-01-01

    For quantum Turing machines we present three elements: Its components, its time evolution operator and its local transition function. The components are related with deterministic Turing machines, the time evolution operator is related with reversible Turing machines and the local transition function is related with probabilistic and reversible Turing machines.

  16. Selection of machining datum and allocation of tolerance through tolerance charting technique

    Science.gov (United States)

    Thilak, Manoharan; Sivakumar, Karuppan; Jayaprakash, Govindharajalu

    2012-07-01

    Tolerance charting is an effective tool to determine the optimal allocation of working dimensions and working tolerances such that the blueprint dimensions and tolerances can be achieved to accomplish the cost objectives. The selection of machining datum and allocation of tolerances are critical in any machining process planning as they directly affect any setup methods/machine tools selection and machining time. This paper mainly focuses on the selection of optimum machining datums and machining tolerances simultaneously in process planning. A dynamic tolerance charting constraint scheme is developed and implemented in the optimization procedure. An optimization model is formulated for selecting machining datum and tolerances and implemented with an algorithm namely Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II).The computational results indicate that the proposed methodology is capable and robust in finding the optimal machining datum set and tolerances.

  17. Machining of hard-to-machine materials

    OpenAIRE

    2016-01-01

    Bakalářská práce se zabývá studiem obrábění těžkoobrobitelných materiálů. V první části jsou rozděleny těžkoobrobitelné materiály a následuje jejich analýza. V další části se práce zaměřuje na problematiku obrobitelnosti jednotlivých slitin. Závěrečná část práce je věnovaná experimentu, jeho statistickému zpracování a nakonec následnému vyhodnocení. This bachelor thesis studies the machining of hard-to-machine materials. The first part of the thesis considers hard-to-machine materials and ...

  18. Machine (bulk) harvest

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This is a summary of machine harvesting activities on Neal Smith National Wildlife Refuge between 1991 and 2008. Information is provided for each year about...

  19. Machine Vision Handbook

    CERN Document Server

    2012-01-01

    The automation of visual inspection is becoming more and more important in modern industry as a consistent, reliable means of judging the quality of raw materials and manufactured goods . The Machine Vision Handbook  equips the reader with the practical details required to engineer integrated mechanical-optical-electronic-software systems. Machine vision is first set in the context of basic information on light, natural vision, colour sensing and optics. The physical apparatus required for mechanized image capture – lenses, cameras, scanners and light sources – are discussed followed by detailed treatment of various image-processing methods including an introduction to the QT image processing system. QT is unique to this book, and provides an example of a practical machine vision system along with extensive libraries of useful commands, functions and images which can be implemented by the reader. The main text of the book is completed by studies of a wide variety of applications of machine vision in insp...

  20. 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%.

  1. Tests of Machine Intelligence

    CERN Document Server

    Legg, Shane

    2007-01-01

    Although the definition and measurement of intelligence is clearly of fundamental importance to the field of artificial intelligence, no general survey of definitions and tests of machine intelligence exists. Indeed few researchers are even aware of alternatives to the Turing test and its many derivatives. In this paper we fill this gap by providing a short survey of the many tests of machine intelligence that have been proposed.

  2. Metalworking and machining fluids

    Science.gov (United States)

    Erdemir, Ali; Sykora, Frank; Dorbeck, Mark

    2010-10-12

    Improved boron-based metal working and machining fluids. Boric acid and boron-based additives that, when mixed with certain carrier fluids, such as water, cellulose and/or cellulose derivatives, polyhydric alcohol, polyalkylene glycol, polyvinyl alcohol, starch, dextrin, in solid and/or solvated forms result in improved metalworking and machining of metallic work pieces. Fluids manufactured with boric acid or boron-based additives effectively reduce friction, prevent galling and severe wear problems on cutting and forming tools.

  3. mlpy: Machine Learning Python

    CERN Document Server

    Albanese, Davide; Merler, Stefano; Riccadonna, Samantha; Jurman, Giuseppe; Furlanello, Cesare

    2012-01-01

    mlpy is a Python Open Source Machine Learning library built on top of NumPy/SciPy and the GNU Scientific Libraries. mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems and it is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability and efficiency. mlpy is multiplatform, it works with Python 2 and 3 and it is distributed under GPL3 at the website http://mlpy.fbk.eu.

  4. Human-machine interactions

    Science.gov (United States)

    Forsythe, J. Chris; Xavier, Patrick G.; Abbott, Robert G.; Brannon, Nathan G.; Bernard, Michael L.; Speed, Ann E.

    2009-04-28

    Digital technology utilizing a cognitive model based on human naturalistic decision-making processes, including pattern recognition and episodic memory, can reduce the dependency of human-machine interactions on the abilities of a human user and can enable a machine to more closely emulate human-like responses. Such a cognitive model can enable digital technology to use cognitive capacities fundamental to human-like communication and cooperation to interact with humans.

  5. Machine Learning with Distances

    Science.gov (United States)

    2015-02-16

    and demonstrated their usefulness in experiments. 1 Introduction The goal of machine learning is to find useful knowledge behind data. Many machine...212, 172]. However, direct divergence approximators still suffer from the curse of dimensionality. A possible cure for this problem is to combine them...obtain the global optimal solution or even a good local solution without any prior knowledge . For this reason, we decided to introduce the unit-norm

  6. mlpy: Machine Learning Python

    OpenAIRE

    Albanese, Davide; Visintainer, Roberto; Merler, Stefano; Riccadonna, Samantha; Jurman, Giuseppe; Furlanello, Cesare

    2012-01-01

    mlpy is a Python Open Source Machine Learning library built on top of NumPy/SciPy and the GNU Scientific Libraries. mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems and it is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability and efficiency. mlpy is multiplatform, it works with Python 2 and 3 and it is distributed under GPL3 at the website http://mlpy.fbk.eu.

  7. Instance-Based Question Answering

    Science.gov (United States)

    2006-12-01

    included factoid questions grouped around a set of target entities. For example, for the target entity “ Franz Kafka ”, associated questions included: “Where...from Franz Schubert. A year later he did on Dec 5th.”). Depending on the task, an answer extractor may identify very small, factoid candidates which...IWP): Paraphrase Ac- quisition and Applications, 2003. [55] A. Ittycheriah, M. Franz , and S. Roukos. Ibm’s statistical question answering system - trec

  8. And the next question is powerful questions for sticky moments

    CERN Document Server

    Alexander, Rachel

    2012-01-01

    A very practical and easy to use book of 3,000+ powerful questions, forming part of every coach''s / manager''s toolkit; it enables you to easily find key questions in some of the most distinctive areas of coaching, such as confidence, communications & leadership.

  9. Commonly Asked Questions in Thermodynamics

    CERN Document Server

    Assael, Marc J

    2011-01-01

    Have you ever had a question that keeps persisting and for which you cannot find a clear answer? Is the question seemingly so "simple" that the problem is glossed over in most resources, or skipped entirely? CRC Press/Taylor and Francis is pleased to introduce Commonly Asked Questions in Thermodynamics, the first in a new series of books that address the questions that frequently arise in today's major scientific and technical disciplines. Designed for a wide audience, from students and researchers to practicing professionals in related areas, the books are organized in a user friend

  10. [Fatal explosion injuries from blasting a cigarette machine].

    Science.gov (United States)

    Madea, Burkhard; Ridwan, Hani; Längin, Volker; Doberentz, Elke

    2016-01-01

    In the last few years, a growing number of cases have been reported in Germany in which vending machines have been blasted by criminals to get at the money. Thus, it was only a question of time for the first fatalities to occur as a consequence of such careless explosions. We report on the death of a 16-year-old boy who died after triggering an explosion by spraying a deodorant into the coin slot of a cigarette machine. Death was caused by severe craniocerebral trauma due to tertiary blast-related injuries when the front plate of the machine hit the victim's cerebral and facial skull.

  11. Questioning Questions: Elementary Teachers' Adaptations of Investigation Questions Across the Inquiry Continuum

    Science.gov (United States)

    Biggers, Mandy

    2017-01-01

    Questioning is a central practice in science classrooms. However, not every question translates into a "good" science investigation. Questions that drive science investigations can be provided by many sources including the teacher, the curriculum, or the student. The variations in the source of investigation questions were explored in this study. A dataset of 120 elementary science classroom videos and associated lesson plans from 40 elementary teachers (K-5) across 21 elementary school campuses were scored on an instrument measuring the amount of teacher-direction or student-direction of the lessons' investigation questions. Results indicated that the investigation questions were overwhelmingly teacher directed in nature, with no opportunities for students to develop their own questions for investigation. This study has implications for researchers and practitioners alike, calling attention to the teacher-directed nature of investigation questions in existing science curriculum materials, and the need for teacher training in instructional strategies to adapt their existing curriculum materials across the continuum of teacher-directed and student-directed investigation questions. Teachers need strategies for adapting the teacher-directed questions provided in their existing curriculum materials in order to allow students the opportunity to engage in this essential scientific practice.

  12. 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.

  13. An HTS machine laboratory prototype

    DEFF Research Database (Denmark)

    Mijatovic, Nenad; Jensen, Bogi Bech; Træholt, Chresten

    2012-01-01

    This paper describes Superwind HTS machine laboratory setup which is a small scale HTS machine designed and build as a part of the efforts to identify and tackle some of the challenges the HTS machine design may face. One of the challenges of HTS machines is a Torque Transfer Element (TTE) which...

  14. You Know Arnold Schwarzenegger? On Doing Questioning in Second Language Dyadic Tutorials

    Science.gov (United States)

    Belhiah, Hassan

    2012-01-01

    This study analyses question-answer (QA) sequences in second language tutorial interaction. Using conversation analysis methodology as an analytical tool, the study demonstrates how the act of questioning is a dominant form of interaction in tutoring discourse. The doing of questioning is accomplished through a myriad of forms other than…

  15. Machining of fiber reinforced composites

    Science.gov (United States)

    Komanduri, Ranga; Zhang, Bi; Vissa, Chandra M.

    Factors involved in machining of fiber-reinforced composites are reviewed. Consideration is given to properties of composites reinforced with boron filaments, glass fibers, aramid fibers, carbon fibers, and silicon carbide fibers and to polymer (organic) matrix composites, metal matrix composites, and ceramic matrix composites, as well as to the processes used in conventional machining of boron-titanium composites and of composites reinforced by each of these fibers. Particular attention is given to the methods of nonconventional machining, such as laser machining, water jet cutting, electrical discharge machining, and ultrasonic assisted machining. Also discussed are safety precautions which must be taken during machining of fiber-containing composites.

  16. Machining of Metal Matrix Composites

    CERN Document Server

    2012-01-01

    Machining of Metal Matrix Composites provides the fundamentals and recent advances in the study of machining of metal matrix composites (MMCs). Each chapter is written by an international expert in this important field of research. Machining of Metal Matrix Composites gives the reader information on machining of MMCs with a special emphasis on aluminium matrix composites. Chapter 1 provides the mechanics and modelling of chip formation for traditional machining processes. Chapter 2 is dedicated to surface integrity when machining MMCs. Chapter 3 describes the machinability aspects of MMCs. Chapter 4 contains information on traditional machining processes and Chapter 5 is dedicated to the grinding of MMCs. Chapter 6 describes the dry cutting of MMCs with SiC particulate reinforcement. Finally, Chapter 7 is dedicated to computational methods and optimization in the machining of MMCs. Machining of Metal Matrix Composites can serve as a useful reference for academics, manufacturing and materials researchers, manu...

  17. Development of an Electrically Operated Cassava Peeling and Slicing Machine

    Directory of Open Access Journals (Sweden)

    I. S. Aji

    2017-08-01

    Full Text Available The development and construction of an electrically operated cassava peeling and slicing machine was described in this paper. The objective was to design, construct and test an electrically operated machine that will peel and slice cassava root into chips, to aid the processes of drying, pelletizing and storage. The methodology adopted includes; design, construction, calculation, specification, assembly of component parts and performance test. The machine was able to Peel and slice cassava to fairly similar sizes. Performance test reveals that 7 kg of cassava tuber was peeled and chipped in one minute, which shows that, the machine developed can significantly reduce the cost of labour and time wastage associated with traditional processing of cassava tubers into dried cassava pellets, and finished products, such as; garri, and cassava flour. The machine has a capacity of 6.72 kg/min, with peeling and chipping efficiency of 66.2% and 84.0% respectively. The flesh loss of the peeled tuber was 8.52%, while overall machine efficiency obtained as 82.4%. The machine is recommended for use by small scale industries and by cassava farmers in the rural areas. It has an overall cost of N46100 ($150. The machine can easily be operated by an individual and maintained, by using warm water to wash the component parts, and sharpening of the chipping disc when required.

  18. Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier

    OpenAIRE

    C. V. Subbulakshmi; Deepa, S. N.

    2015-01-01

    Medical data classification is a prime data mining problem being discussed about for a decade that has attracted several researchers around the world. Most classifiers are designed so as to learn from the data itself using a training process, because complete expert knowledge to determine classifier parameters is impracticable. This paper proposes a hybrid methodology based on machine learning paradigm. This paradigm integrates the successful exploration mechanism called self-regulated learni...

  19. Probability and Statistics: 5 Questions

    DEFF Research Database (Denmark)

    Probability and Statistics: 5 Questions is a collection of short interviews based on 5 questions presented to some of the most influential and prominent scholars in probability and statistics. We hear their views on the fields, aims, scopes, the future direction of research and how their work fits...

  20. Non-conventional electrical machines

    CERN Document Server

    Rezzoug, Abderrezak

    2013-01-01

    The developments of electrical machines are due to the convergence of material progress, improved calculation tools, and new feeding sources. Among the many recent machines, the authors have chosen, in this first book, to relate the progress in slow speed machines, high speed machines, and superconducting machines. The first part of the book is dedicated to materials and an overview of magnetism, mechanic, and heat transfer.

  1. The Value Question in Metaphysics.

    Science.gov (United States)

    Kahane, Guy

    2012-07-01

    Much seems to be at stake in metaphysical questions about, for example, God, free will or morality. One thing that could be at stake is the value of the universe we inhabit-how good or bad it is. We can think of competing philosophical positions as describing possibilities, ways the world might turn out to be, and to which value can be assigned. When, for example, people hope that God exists, or fear that we do not possess free will, they express attitudes towards these possibilities, attitudes that presuppose answers to questions about their comparative value. My aim in this paper is to distinguish these evaluative questions from related questions with which they can be confused, to identify structural constraints on their proper pursuit, and to address objections to their very coherence. Answers to such evaluative questions offer one measure of the importance of philosophical disputes.

  2. Questions

    DEFF Research Database (Denmark)

    Larsen, Steen Nepper

    2012-01-01

    Bidrag til festskrift til Jesper Hoffmeyer i anledning af hans 70 års dag i Don Favineau, Paul Cobley & Kalevi Kull (eds.): "A More Developed Sign. Interpreting the Work of Jesper Hoffmeyer". Antologien udg. som særnummer af Tartu Semiotics Library Nr. 10 og mit bidrag forefindes på p. 217-220....

  3. 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.

  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. MACHINE MOTION EQUATIONS

    Directory of Open Access Journals (Sweden)

    Florian Ion Tiberiu Petrescu

    2015-09-01

    Full Text Available This paper presents the dynamic, original, machine motion equations. The equation of motion of the machine that generates angular speed of the shaft (which varies with position and rotation speed is deduced by conservation kinetic energy of the machine. An additional variation of angular speed is added by multiplying by the coefficient dynamic D (generated by the forces out of mechanism and or by the forces generated by the elasticity of the system. Kinetic energy conservation shows angular speed variation (from the shaft with inertial masses, while the dynamic coefficient introduces the variation of w with forces acting in the mechanism. Deriving the first equation of motion of the machine one can obtain the second equation of motion dynamic. From the second equation of motion of the machine it determines the angular acceleration of the shaft. It shows the distribution of the forces on the mechanism to the internal combustion heat engines. Dynamic, the velocities can be distributed in the same way as forces. Practically, in the dynamic regimes, the velocities have the same timing as the forces. Calculations should be made for an engine with a single cylinder. Originally exemplification is done for a classic distribution mechanism, and then even the module B distribution mechanism of an Otto engine type.

  6. Infantry Weapons Test Methodology Study. Volume 3. Light Machine Gun Test Methodology

    Science.gov (United States)

    1972-06-01

    additional target array. These are described in .the following section. 5.- RANGE CONCEPTS 1 (a) Firing Positions - The defense tesi facility currently...coincides or nearly coin- ground to low ground, and when firing cides with the long axis of the target. into abruptly rising ground. This type of fire is

  7. Phrasal Paraphrase Based Question Reformulation for Archived Question Retrieval.

    Science.gov (United States)

    Zhang, Yu; Zhang, Wei-Nan; Lu, Ke; Ji, Rongrong; Wang, Fanglin; Liu, Ting

    2013-01-01

    Lexical gap in cQA search, resulted by the variability of languages, has been recognized as an important and widespread phenomenon. To address the problem, this paper presents a question reformulation scheme to enhance the question retrieval model by fully exploring the intelligence of paraphrase in phrase-level. It compensates for the existing paraphrasing research in a suitable granularity, which either falls into fine-grained lexical-level or coarse-grained sentence-level. Given a question in natural language, our scheme first detects the involved key-phrases by jointly integrating the corpus-dependent knowledge and question-aware cues. Next, it automatically extracts the paraphrases for each identified key-phrase utilizing multiple online translation engines, and then selects the most relevant reformulations from a large group of question rewrites, which is formed by full permutation and combination of the generated paraphrases. Extensive evaluations on a real world data set demonstrate that our model is able to characterize the complex questions and achieves promising performance as compared to the state-of-the-art methods.

  8. Phrasal Paraphrase Based Question Reformulation for Archived Question Retrieval.

    Directory of Open Access Journals (Sweden)

    Yu Zhang

    Full Text Available Lexical gap in cQA search, resulted by the variability of languages, has been recognized as an important and widespread phenomenon. To address the problem, this paper presents a question reformulation scheme to enhance the question retrieval model by fully exploring the intelligence of paraphrase in phrase-level. It compensates for the existing paraphrasing research in a suitable granularity, which either falls into fine-grained lexical-level or coarse-grained sentence-level. Given a question in natural language, our scheme first detects the involved key-phrases by jointly integrating the corpus-dependent knowledge and question-aware cues. Next, it automatically extracts the paraphrases for each identified key-phrase utilizing multiple online translation engines, and then selects the most relevant reformulations from a large group of question rewrites, which is formed by full permutation and combination of the generated paraphrases. Extensive evaluations on a real world data set demonstrate that our model is able to characterize the complex questions and achieves promising performance as compared to the state-of-the-art methods.

  9. Finite machines, mental procedures, and modern physics.

    Science.gov (United States)

    Lupacchini, Rossella

    2007-01-01

    A Turing machine provides a mathematical definition of the natural process of calculating. It rests on trust that a procedure of reason can be reproduced mechanically. Turing's analysis of the concept of mechanical procedure in terms of a finite machine convinced Gödel of the validity of the Church thesis. And yet, Gödel's later concern was that, insofar as Turing's work shows that "mental procedure cannot go beyond mechanical procedures", it would imply the same kind of limitation on human mind. He therefore deems Turing's argument to be inconclusive. The question then arises as to which extent a computing machine operating by finite means could provide an adequate model of human intelligence. It is argued that a rigorous answer to this question can be given by developing Turing's considerations on the nature of mental processes. For Turing such processes are the consequence of physical processes and he seems to be led to the conclusion that quantum mechanics could help to find a more comprehensive explanation of them.

  10. Explaining errors in children's questions.

    Science.gov (United States)

    Rowland, Caroline F

    2007-07-01

    The ability to explain the occurrence of errors in children's speech is an essential component of successful theories of language acquisition. The present study tested some generativist and constructivist predictions about error on the questions produced by ten English-learning children between 2 and 5 years of age. The analyses demonstrated that, as predicted by some generativist theories [e.g. Santelmann, L., Berk, S., Austin, J., Somashekar, S. & Lust. B. (2002). Continuity and development in the acquisition of inversion in yes/no questions: dissociating movement and inflection, Journal of Child Language, 29, 813-842], questions with auxiliary DO attracted higher error rates than those with modal auxiliaries. However, in wh-questions, questions with modals and DO attracted equally high error rates, and these findings could not be explained in terms of problems forming questions with why or negated auxiliaries. It was concluded that the data might be better explained in terms of a constructivist account that suggests that entrenched item-based constructions may be protected from error in children's speech, and that errors occur when children resort to other operations to produce questions [e.g. Dabrowska, E. (2000). From formula to schema: the acquisition of English questions. Cognitive Liguistics, 11, 83-102; Rowland, C. F. & Pine, J. M. (2000). Subject-auxiliary inversion errors and wh-question acquisition: What children do know? Journal of Child Language, 27, 157-181; Tomasello, M. (2003). Constructing a language: A usage-based theory of language acquisition. Cambridge, MA: Harvard University Press]. However, further work on constructivist theory development is required to allow researchers to make predictions about the nature of these operations.

  11. Research on cylindrical indexing cam’s unilateral machining

    Directory of Open Access Journals (Sweden)

    Junhua Chen

    2015-08-01

    Full Text Available The cylindrical cam ridge of the indexer is a spatial curved surface, which is difficult to design and machine. The cylindrical cam has some defects after machining because conventional machining methods have inaccuracies. This article aims at proposing a precise way to machine an indexing cam, using basic motion analysis and analytic geometry approach. Analytical methodology is first applied in the cam’s motion analysis, to obtain an error-free cam follower’s trajectory formula, and then separate the continuous trajectory curve by thousandth resolution, to create a three-dimensional discrete trajectory curve. Planar formulae and spherical formulae can be built on the loci. Based on the machine principle, the cutting cutter’s position and orientation will be taken into account. This article calculates the formula set as presented previously and obtains the ultimate cutter path coordinate value. The new error-free cutter path trajectory is called the unilateral machining trajectory. The earned results will compile into numerical control processing schedule. This processing methodology gives a convenient and precision way to manufacture a cylindrical indexing cam. Experimental results are also well supported.

  12. The Mind and the Machine. On the Conceptual and Moral Implications of Brain-Machine Interaction.

    Science.gov (United States)

    Schermer, Maartje

    2009-12-01

    Brain-machine interfaces are a growing field of research and application. The increasing possibilities to connect the human brain to electronic devices and computer software can be put to use in medicine, the military, and entertainment. Concrete technologies include cochlear implants, Deep Brain Stimulation, neurofeedback and neuroprosthesis. The expectations for the near and further future are high, though it is difficult to separate hope from hype. The focus in this paper is on the effects that these new technologies may have on our 'symbolic order'-on the ways in which popular categories and concepts may change or be reinterpreted. First, the blurring distinction between man and machine and the idea of the cyborg are discussed. It is argued that the morally relevant difference is that between persons and non-persons, which does not necessarily coincide with the distinction between man and machine. The concept of the person remains useful. It may, however, become more difficult to assess the limits of the human body. Next, the distinction between body and mind is discussed. The mind is increasingly seen as a function of the brain, and thus understood in bodily and mechanical terms. This raises questions concerning concepts of free will and moral responsibility that may have far reaching consequences in the field of law, where some have argued for a revision of our criminal justice system, from retributivist to consequentialist. Even without such a (unlikely and unwarranted) revision occurring, brain-machine interactions raise many interesting questions regarding distribution and attribution of responsibility.

  13. Machine tool metrology an industrial handbook

    CERN Document Server

    Smith, Graham T

    2016-01-01

    Maximizing reader insights into the key scientific disciplines of Machine Tool Metrology, this text will prove useful for the industrial-practitioner and those interested in the operation of machine tools. Within this current level of industrial-content, this book incorporates significant usage of the existing published literature and valid information obtained from a wide-spectrum of manufacturers of plant, equipment and instrumentation before putting forward novel ideas and methodologies. Providing easy to understand bullet points and lucid descriptions of metrological and calibration subjects, this book aids reader understanding of the topics discussed whilst adding a voluminous-amount of footnotes utilised throughout all of the chapters, which adds some additional detail to the subject. Featuring an extensive amount of photographic-support, this book will serve as a key reference text for all those involved in the field. .

  14. Dynamics of cyclic machines

    CERN Document Server

    Vulfson, Iosif

    2015-01-01

    This book focuses on modern methods of oscillation analysis in machines, including cyclic action mechanisms (linkages, cams, steppers, etc.). It presents schematization techniques and mathematical descriptions of oscillating systems, taking into account the variability of the parameters and nonlinearities, engineering evaluations of dynamic errors, and oscillation suppression methods. The majority of the book is devoted to the development of new methods of dynamic analysis and synthesis for cyclic machines that form regular oscillatory systems with multiple duplicate modules.  There are also sections examining aspects of general engineering interest (nonlinear dissipative forces, systems with non-stationary constraints, impacts and pseudo-impacts in clearances, etc.)  The examples in the book are based on the widely used results of theoretical and experimental studies as well as engineering calculations carried out in relation to machines used in the textile, light, polygraphic and other industries. Particu...

  15. Chatter and machine tools

    CERN Document Server

    Stone, Brian

    2014-01-01

    Focussing on occurrences of unstable vibrations, or Chatter, in machine tools, this book gives important insights into how to eliminate chatter with associated improvements in product quality, surface finish and tool wear. Covering a wide range of machining processes, including turning, drilling, milling and grinding, the author uses his research expertise and practical knowledge of vibration problems to provide solutions supported by experimental evidence of their effectiveness. In addition, this book contains links to supplementary animation programs that help readers to visualise the ideas detailed in the text. Advancing knowledge in chatter avoidance and suggesting areas for new innovations, Chatter and Machine Tools serves as a handbook for those desiring to achieve significant reductions in noise, longer tool and grinding wheel life and improved product finish.

  16. Machines and Metaphors

    Directory of Open Access Journals (Sweden)

    Ángel Martínez García-Posada

    2016-10-01

    Full Text Available The edition La ley del reloj. Arquitectura, máquinas y cultura moderna (Cátedra, Madrid, 2016 registers the useful paradox of the analogy between architecture and technique. Its author, the architect Eduardo Prieto, also a philosopher, professor and writer, acknowledges the obvious distance from machines to buildings, so great that it can only be solved using strange comparisons, since architecture does not move nor are the machines habitable, however throughout the book, from the origin of the metaphor of the machine, with clarity in his essay and enlightening erudition, he points out with certainty some concomitances of high interest, drawing throughout history a beautiful cartography of the fruitful encounter between organics and mechanics.

  17. Machine Learning Markets

    CERN Document Server

    Storkey, Amos

    2011-01-01

    Prediction markets show considerable promise for developing flexible mechanisms for machine learning. Here, machine learning markets for multivariate systems are defined, and a utility-based framework is established for their analysis. This differs from the usual approach of defining static betting functions. It is shown that such markets can implement model combination methods used in machine learning, such as product of expert and mixture of expert approaches as equilibrium pricing models, by varying agent utility functions. They can also implement models composed of local potentials, and message passing methods. Prediction markets also allow for more flexible combinations, by combining multiple different utility functions. Conversely, the market mechanisms implement inference in the relevant probabilistic models. This means that market mechanism can be utilized for implementing parallelized model building and inference for probabilistic modelling.

  18. Unattended Monitoring System Design Methodology

    Energy Technology Data Exchange (ETDEWEB)

    Drayer, D.D.; DeLand, S.M.; Harmon, C.D.; Matter, J.C.; Martinez, R.L.; Smith, J.D.

    1999-07-08

    A methodology for designing Unattended Monitoring Systems starting at a systems level has been developed at Sandia National Laboratories. This proven methodology provides a template that describes the process for selecting and applying appropriate technologies to meet unattended system requirements, as well as providing a framework for development of both training courses and workshops associated with unattended monitoring. The design and implementation of unattended monitoring systems is generally intended to respond to some form of policy based requirements resulting from international agreements or domestic regulations. Once the monitoring requirements are established, a review of the associated process and its related facilities enables identification of strategic monitoring locations and development of a conceptual system design. The detailed design effort results in the definition of detection components as well as the supporting communications network and data management scheme. The data analyses then enables a coherent display of the knowledge generated during the monitoring effort. The resultant knowledge is then compared to the original system objectives to ensure that the design adequately addresses the fundamental principles stated in the policy agreements. Implementation of this design methodology will ensure that comprehensive unattended monitoring system designs provide appropriate answers to those critical questions imposed by specific agreements or regulations. This paper describes the main features of the methodology and discusses how it can be applied in real world situations.

  19. Multicriteria methodology for decision aiding

    CERN Document Server

    Roy, Bernard

    1996-01-01

    This is the first comprehensive book to present, in English, the multicriteria methodology for decision aiding In the foreword the distinctive features and main ideas of the European School of MCDA are outlined The twelve chapters are essentially expository in nature, but scholarly in treatment Some questions, which are too often neglected in the literature on decision theory, such as how is a decision made, who are the actors, what is a decision aiding model, how to define the set of alternatives, are discussed Examples are used throughout the book to illustrate the various concepts Ways to model the consequences of each alternative and building criteria taking into account the inevitable imprecisions, uncertainties and indeterminations are described and illustrated The three classical operational approaches of MCDA synthesis in one criterion (including MAUT), synthesis by outranking relations, interactive local judgements, are studied This methodology tries to be a theoretical or intellectual framework dire...

  20. Design methodology of Dutch banknotes

    Science.gov (United States)

    de Heij, Hans A. M.

    2000-04-01

    Since the introduction of a design methodology for Dutch banknotes, the quality of Dutch paper currency has improved in more than one way. The methodology is question provides for (i) a design policy, which helps fix clear objectives; (ii) design management, to ensure a smooth cooperation between the graphic designer, printer, papermaker an central bank, (iii) a program of requirements, a banknote development guideline for all parties involved. This systematic approach enables an objective selection of design proposals, including security features. Furthermore, the project manager obtains regular feedback from the public by conducting market surveys. Each new design of a Netherlands Guilder banknote issued by the Nederlandsche Bank of the past 50 years has been an improvement on its predecessor in terms of value recognition, security and durability.

  1. Advanced Analysis of Nontraditional Machining

    CERN Document Server

    Tsai, Hung-Yin

    2013-01-01

    Nontraditional machining utilizes thermal, chemical, electrical, mechanical and optical sources of energy to form and cut materials. Advanced Analysis of Nontraditional Machining explains in-depth how each of these advanced machining processes work, their machining system components, and process variables and industrial applications, thereby offering advanced knowledge and scientific insight. This book also documents the latest and frequently cited research results of a few key nonconventional machining processes for the most concerned topics in industrial applications, such as laser machining, electrical discharge machining, electropolishing of die and mold, and wafer processing for integrated circuit manufacturing. This book also: Fills the gap of the advanced knowledge of nonconventional machining between industry and research Documents latest and frequently cited research of key nonconventional machining processes for the most sought after topics in industrial applications Demonstrates advanced multidisci...

  2. Machining strategy choice: performance VIEWER

    CERN Document Server

    Tapie, Laurent; Anselmetti, Bernard

    2009-01-01

    Nowadays high speed machining (HSM) machine tool combines productivity and part quality. So mould and die maker invested in HSM. Die and mould features are more and more complex shaped. Thus, it is difficult to choose the best machining strategy according to part shape. Geometrical analysis of machining features is not sufficient to make an optimal choice. Some research show that security, technical, functional and economical constrains must be taken into account to elaborate a machining strategy. During complex shape machining, production system limits induce feed rate decreases, thus loss of productivity, in some part areas. In this paper we propose to analyse these areas by estimating tool path quality. First we perform experiments on HSM machine tool to determine trajectory impact on machine tool behaviour. Then, we extract critical criteria and establish models of performance loss. Our work is focused on machine tool kinematical performance and numerical controller unit calculation capacity. We implement...

  3. Atwood's Machine as a Tool to Introduce Variable Mass Systems

    Science.gov (United States)

    de Sousa, Celia A.

    2012-01-01

    This article discusses an instructional strategy which explores eventual similarities and/or analogies between familiar problems and more sophisticated systems. In this context, the Atwood's machine problem is used to introduce students to more complex problems involving ropes and chains. The methodology proposed helps students to develop the…

  4. Two-qubit quantum cloning machine and quantum correlation broadcasting

    Science.gov (United States)

    Kheirollahi, Azam; Mohammadi, Hamidreza; Akhtarshenas, Seyed Javad

    2016-11-01

    Due to the axioms of quantum mechanics, perfect cloning of an unknown quantum state is impossible. But since imperfect cloning is still possible, a question arises: "Is there an optimal quantum cloning machine?" Buzek and Hillery answered this question and constructed their famous B-H quantum cloning machine. The B-H machine clones the state of an arbitrary single qubit in an optimal manner and hence it is universal. Generalizing this machine for a two-qubit system is straightforward, but during this procedure, except for product states, this machine loses its universality and becomes a state-dependent cloning machine. In this paper, we propose some classes of optimal universal local quantum state cloners for a particular class of two-qubit systems, more precisely, for a class of states with known Schmidt basis. We then extend our machine to the case that the Schmidt basis of the input state is deviated from the local computational basis of the machine. We show that more local quantum coherence existing in the input state corresponds to less fidelity between the input and output states. Also we present two classes of a state-dependent local quantum copying machine. Furthermore, we investigate local broadcasting of two aspects of quantum correlations, i.e., quantum entanglement and quantum discord, defined, respectively, within the entanglement-separability paradigm and from an information-theoretic perspective. The results show that although quantum correlation is, in general, very fragile during the broadcasting procedure, quantum discord is broadcasted more robustly than quantum entanglement.

  5. Electrical machines diagnosis

    CERN Document Server

    Trigeassou, Jean-Claude

    2013-01-01

    Monitoring and diagnosis of electrical machine faults is a scientific and economic issue which is motivated by objectives for reliability and serviceability in electrical drives.This book provides a survey of the techniques used to detect the faults occurring in electrical drives: electrical, thermal and mechanical faults of the electrical machine, faults of the static converter and faults of the energy storage unit.Diagnosis of faults occurring in electrical drives is an essential part of a global monitoring system used to improve reliability and serviceability. This diagnosis is perf

  6. Refrigerating machine oil

    Energy Technology Data Exchange (ETDEWEB)

    Nozawa, K.

    1981-03-17

    Refrigerating machine oil to be filled in a sealed motorcompressor unit constituting a refrigerating cycle system including an electric refrigerator, an electric cold-storage box, a small-scaled electric refrigerating show-case, a small-scaled electric cold-storage show-case and the like, is arranged to have a specifically enhanced property, in which smaller initial driving power consumption of the sealed motor-compressor and easier supply of the predetermined amount of the refrigerating machine oil to the refrigerating system are both guaranteed even in a rather low environmental temperature condition.

  7. Electrical machines & their applications

    CERN Document Server

    Hindmarsh, J

    1984-01-01

    A self-contained, comprehensive and unified treatment of electrical machines, including consideration of their control characteristics in both conventional and semiconductor switched circuits. This new edition has been expanded and updated to include material which reflects current thinking and practice. All references have been updated to conform to the latest national (BS) and international (IEC) recommendations and a new appendix has been added which deals more fully with the theory of permanent-magnets, recognising the growing importance of permanent-magnet machines. The text is so arra

  8. Clojure for machine learning

    CERN Document Server

    Wali, Akhil

    2014-01-01

    A book that brings out the strengths of Clojure programming that have to facilitate machine learning. Each topic is described in substantial detail, and examples and libraries in Clojure are also demonstrated.This book is intended for Clojure developers who want to explore the area of machine learning. Basic understanding of the Clojure programming language is required, but thorough acquaintance with the standard Clojure library or any libraries are not required. Familiarity with theoretical concepts and notation of mathematics and statistics would be an added advantage.

  9. Perpetual Motion Machine

    OpenAIRE

    D. Tsaousis

    2008-01-01

    Ever since the first century A.D. there have been relative descriptions of known devices as well as manufactures for the creation of perpetual motion machines. Although physics has led, with two thermodynamic laws, to the opinion that a perpetual motion machine is impossible to be manufactured, inventors of every age and educational level appear to claim that they have invented something «entirely new» or they have improved somebody else’s invention, which «will function henceforth perpetuall...

  10. Man - Machine Communication

    CERN Document Server

    Petersen, Peter; Nielsen, Henning

    1984-01-01

    This report describes a Man-to-Machine Communication module which together with a STAC can take care of all operator inputs from the touch-screen, tracker balls and mechanical buttons. The MMC module can also contain a G64 card which could be a GPIB driver but many other G64 cards could be used. The soft-ware services the input devices and makes the results accessible from the CAMAC bus. NODAL functions for the Man Machine Communication is implemented in the STAC and in the ICC.

  11. Machine Fault Signature Analysis

    Directory of Open Access Journals (Sweden)

    Pratesh Jayaswal

    2008-01-01

    Full Text Available The objective of this paper is to present recent developments in the field of machine fault signature analysis with particular regard to vibration analysis. The different types of faults that can be identified from the vibration signature analysis are, for example, gear fault, rolling contact bearing fault, journal bearing fault, flexible coupling faults, and electrical machine fault. It is not the intention of the authors to attempt to provide a detailed coverage of all the faults while detailed consideration is given to the subject of the rolling element bearing fault signature analysis.

  12. Solar physics: Dynamo theory questioned

    Science.gov (United States)

    Charbonneau, Paul

    2016-07-01

    Observations of X-ray emission -- a diagnostic tool for the mechanisms driving stellar magnetic fields -- from four cool stars call into question accepted models of magnetic-field generation in the Sun and stars. See Letter p.526

  13. LGBT Caregiving: Frequently Asked Questions

    Science.gov (United States)

    ... FCA - A A + A You are here Home LGBT Caregiving: Frequently Asked Questions Order this publication Printer- ... service or organization is open to working with LGBT families? Kudos to you for managing to “go ...

  14. Frequent Questions About Universal Waste

    Science.gov (United States)

    Frequent questions such as Who is affected by the universal waste regulations? What is “mercury-containing equipment”? How are waste batteries managed under universal waste? How are waste pesticides managed under universal waste?

  15. HPV Vaccine - Questions and Answers

    Science.gov (United States)

    ... and Media Resources News Newsletters Events Redirect for HPV Vaccine FAQ Recommend on Facebook Tweet Share Compartir ... to the address below. http://www.cdc.gov/hpv/parents/questions-answers.html File Formats Help: How ...

  16. Question Inventory on Tobacco (QIT)

    Data.gov (United States)

    U.S. Department of Health & Human Services — 1965, 1966, 1970, 1974-2017. Centers for Disease Control and Prevention (CDC). Office on Smoking and Health (OSH). Tobacco-Related Survey Questions. The QIT is a...

  17. Questions to Ask Your Doctor

    Science.gov (United States)

    ... to MBCN Contact Us Questions to ask your doctor Medical appointments can be stressful. To better deal ... for you. If diagnosed by your primary care physician Where do you send your metastatic patients for ...

  18. Questions Students Ask: Beta Decay.

    Science.gov (United States)

    Koss, Jordan; Hartt, Kenneth

    1988-01-01

    Answers a student's question about the emission of a positron from a nucleus. Discusses the problem from the aspects of the uncertainty principle, beta decay, the Fermi Theory, and modern physics. (YP)

  19. Climate Leadership Awards Frequent Questions

    Science.gov (United States)

    Provides answers to frequently asked questions regarding the Climate Leadership Awards, sponsored by EPA's Center for Corporate Climate Leadership with co-sponsorship from the Center for Climate and Energy Solutions and The Climate Registry.

  20. Frequently Asked Questions about Pharmacogenomics

    Science.gov (United States)

    ... Care Specific Genetic Disorders Frequently Asked Questions About Pharmacogenomics Enlarge What is pharmacogenomics? What might pharmacogenomics mean ... page, you will need Adobe Reader. What is pharmacogenomics? Pharmacogenomics uses information about a person's genetic makeup, ...

  1. Question Inventory on Tobacco (QIT)

    Data.gov (United States)

    U.S. Department of Health & Human Services — 1965, 1966, 1970, 1974-2015, 2017. Centers for Disease Control and Prevention (CDC). Office on Smoking and Health (OSH). Survey Questions (Tobacco Use). The QIT is...

  2. Key Questions in Thoracic Surgery

    OpenAIRE

    Subotic, Dragan R.

    2016-01-01

    This 1000-page textbook encompasses much more than the title suggests. In fact, the title “Key questions in thoracic surgery and pulmonology” would be more fitting. The specific format of the book, with precise questions and evidence-based, but equally clear answers covering all relevant fields of pulmonology and thoracic surgery, makes this 40-chapter book a “must read” not only for residents, but also for senior pulmonologists and thoracic surgeons.

  3. Design of rotating electrical machines

    CERN Document Server

    Pyrhonen , Juha; Hrabovcova , Valeria

    2013-01-01

    In one complete volume, this essential reference presents an in-depth overview of the theoretical principles and techniques of electrical machine design. This timely new edition offers up-to-date theory and guidelines for the design of electrical machines, taking into account recent advances in permanent magnet machines as well as synchronous reluctance machines. New coverage includes: Brand new material on the ecological impact of the motors, covering the eco-design principles of rotating electrical machinesAn expanded section on the design of permanent magnet synchronous machines, now repo

  4. Protein Electrochemistry: Questions and Answers.

    Science.gov (United States)

    Fourmond, V; Léger, C

    This chapter presents the fundamentals of electrochemistry in the context of protein electrochemistry. We discuss redox proteins and enzymes that are not photoactive. Of course, the principles described herein also apply to photobioelectrochemistry, as discussed in later chapters of this book. Depending on which experiment is considered, electron transfer between proteins and electrodes can be either direct or mediated, and achieved in a variety of configurations: with the protein and/or the mediator free to diffuse in solution, immobilized in a thick, hydrated film, or adsorbed as a sub-monolayer on the electrode. The experiments can be performed with the goal to study the protein or to use it. Here emphasis is on mechanistic studies, which are easier in the configuration where the protein is adsorbed and electron transfer is direct, but we also explain the interpretation of signals obtained when diffusion processes affect the response.This chapter is organized as a series of responses to questions. Questions 1-5 are related to the basics of electrochemistry: what does "potential" or "current" mean, what does an electrochemical set-up look like? Questions 6-9 are related to the distinction between adsorbed and diffusive redox species. The answers to questions 10-13 explain the interpretation of slow and fast scan voltammetry with redox proteins. Questions 14-19 deal with catalytic electrochemistry, when the protein studied is actually an enzyme. Questions 20, 21 and 22 are general.

  5. Performance Evaluation Methodologies and Tools for Massively Parallel Programs

    Science.gov (United States)

    Yan, Jerry C.; Sarukkai, Sekhar; Tucker, Deanne (Technical Monitor)

    1994-01-01

    The need for computing power has forced a migration from serial computation on a single processor to parallel processing on multiprocessors. However, without effective means to monitor (and analyze) program execution, tuning the performance of parallel programs becomes exponentially difficult as program complexity and machine size increase. The recent introduction of performance tuning tools from various supercomputer vendors (Intel's ParAide, TMC's PRISM, CSI'S Apprentice, and Convex's CXtrace) seems to indicate the maturity of performance tool technologies and vendors'/customers' recognition of their importance. However, a few important questions remain: What kind of performance bottlenecks can these tools detect (or correct)? How time consuming is the performance tuning process? What are some important technical issues that remain to be tackled in this area? This workshop reviews the fundamental concepts involved in analyzing and improving the performance of parallel and heterogeneous message-passing programs. Several alternative strategies will be contrasted, and for each we will describe how currently available tuning tools (e.g., AIMS, ParAide, PRISM, Apprentice, CXtrace, ATExpert, Pablo, IPS-2)) can be used to facilitate the process. We will characterize the effectiveness of the tools and methodologies based on actual user experiences at NASA Ames Research Center. Finally, we will discuss their limitations and outline recent approaches taken by vendors and the research community to address them.

  6. Twin support vector machines models, extensions and applications

    CERN Document Server

    Jayadeva; Chandra, Suresh

    2017-01-01

    This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on “Additional Topics” has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance.

  7. Mind, Machine, and Creativity: An Artist's Perspective

    Science.gov (United States)

    Sundararajan, Louise

    2014-01-01

    Harold Cohen is a renowned painter who has developed a computer program, AARON, to create art. While AARON has been hailed as one of the most creative AI programs, Cohen consistently rejects the claims of machine creativity. Questioning the possibility for AI to model human creativity, Cohen suggests in so many words that the human mind takes a different route to creativity, a route that privileges the relational, rather than the computational, dimension of cognition. This unique perspective on the tangled web of mind, machine, and creativity is explored by an application of three relational models of the mind to an analysis of Cohen's talks and writings, which are available on his website: www.aaronshome.com. PMID:25541564

  8. Mind, Machine, and Creativity: An Artist's Perspective.

    Science.gov (United States)

    Sundararajan, Louise

    2014-06-01

    Harold Cohen is a renowned painter who has developed a computer program, AARON, to create art. While AARON has been hailed as one of the most creative AI programs, Cohen consistently rejects the claims of machine creativity. Questioning the possibility for AI to model human creativity, Cohen suggests in so many words that the human mind takes a different route to creativity, a route that privileges the relational, rather than the computational, dimension of cognition. This unique perspective on the tangled web of mind, machine, and creativity is explored by an application of three relational models of the mind to an analysis of Cohen's talks and writings, which are available on his website: www.aaronshome.com.

  9. Hybrid machining processes perspectives on machining and finishing

    CERN Document Server

    Gupta, Kapil; Laubscher, R F

    2016-01-01

    This book describes various hybrid machining and finishing processes. It gives a critical review of the past work based on them as well as the current trends and research directions. For each hybrid machining process presented, the authors list the method of material removal, machining system, process variables and applications. This book provides a deep understanding of the need, application and mechanism of hybrid machining processes.

  10. MACHINE-TRANSFORMER UNITS FOR WIND TURBINES

    Directory of Open Access Journals (Sweden)

    V.I. Panchenko

    2016-03-01

    Full Text Available Background. Electric generators of wind turbines must meet the following requirements: they must be multi-pole; to have a minimum size and weight; to be non-contact, but controlled; to ensure the maximum possible output voltage when working on the power supply system. Multipole and contactless are relatively simply realized in the synchronous generator with permanent magnet excitation and synchronous inductor generator with electromagnetic excitation; moreover the first one has a disadvantage that there is no possibility to control the output voltage, and the second one has a low magnetic leakage coefficient with the appropriate consequences. Purpose. To compare machine dimensions and weight of the transformer unit with induction generators and is an opportunity to prove their application for systems with low RMS-growth rotation. Methodology. A new design of the electric inductor machine called in technical literature as machine-transformer unit (MTU is presented. A ratio for estimated capacity determination of such units is obtained. Results. In a specific example it is shown that estimated power of MTU may exceed the same one for traditional synchronous machines at the same dimensions. The MTU design allows placement of stator coil at some distance from the rotating parts of the machine, namely, in a closed container filled with insulating liquid. This will increase capacity by means of more efficient cooling of coil, as well as to increase the output voltage of the MTU as a generator to a level of 35 kV or more. The recommendations on the certain parameters selection of the MTU stator winding are presented. The formulas for copper cost calculating on the MTU field winding and synchronous salient-pole generator are developed. In a specific example it is shown that such costs in synchronous generator exceed 2.5 times the similar ones in the MTU.

  11. Cybernetic anthropomorphic machine systems

    Science.gov (United States)

    Gray, W. E.

    1974-01-01

    Functional descriptions are provided for a number of cybernetic man machine systems that augment the capacity of normal human beings in the areas of strength, reach or physical size, and environmental interaction, and that are also applicable to aiding the neurologically handicapped. Teleoperators, computer control, exoskeletal devices, quadruped vehicles, space maintenance systems, and communications equipment are considered.

  12. ARM : abstract rewriting machine

    NARCIS (Netherlands)

    J.F.T. Kamperman; H.R. Walters (Pum)

    1993-01-01

    textabstractTerm rewriting is frequently used as implementation technique for algebraic specifications. In this paper we present the abstract term rewriting machine (ARM), which has an extremely compact instruction set and imposes no restrictions on the implemented TRSs. Apart from standard

  13. A "Living" Machine

    Institute of Scientific and Technical Information of China (English)

    N.R.Bogatyrev

    2004-01-01

    Biomimetics (or bionics) is the engineering discipline that constructs artificial systems using biological principles. The ideal final result in biomimetics is to create a living machine. But what are the desirable and non-desirable properties of biomimetic product? Where can natural prototypes be found? How can technical solutions be transferred from nature to technology? Can we use living nature like LEGO bricks for construction our machines? How can biology help us? What is a living machine? In biomimetic practice only some "part" (organ, part of organ, tissue) of the observed whole organism is utilized. A possible template for future super-organism extension for biomimetic methods might be drawn from experiments in holistic ecological agriculture (ecological design, permaculture, ecological engineering, etc. ). The necessary translation of these rules to practical action can be achieved with the Russian Theory of Inventive Problem Solving (TRIZ), specifically adjusted to biology. Thus, permaculture, reinforced by a TRIZ conceptual framework, might provide the basis for Super-Organismic Bionics, which is hypothesized as necessary for effective ecological engineering. This hypothesis is supported by a case study-the design of a sustainable artificial nature reserve for wild pollinators as a living machine.

  14. Of machines and men ...

    CERN Multimedia

    CERN; Daniel Boileau

    1990-01-01

    Engineering and construction at LEP. Committed work and physicists motivation to work on this type of machine. With Guido Altarelli Theory Division Physicist, Ugo Amaldi Delphi Experiment Spokesman, Oscar Barbalat Head of Industry and Technology Liaison Office, Jonathan Ellis Head of Theory Division.

  15. Technology Time Machine 2012

    DEFF Research Database (Denmark)

    Lehner, Wolfgang; Fettweis, Gerhard; Fitzek, Frank

    2013-01-01

    The IEEE Technology Time Machine (TTM) is a unique event for industry leaders, academics, and decision making government officials who direct R&D activities, plan research programs or manage portfolios of research activities. This report covers the main topics of the 2nd Symposium of future...

  16. Training Restricted Boltzmann Machines

    DEFF Research Database (Denmark)

    Fischer, Asja

    Restricted Boltzmann machines (RBMs) are probabilistic graphical models that can also be interpreted as stochastic neural networks. Training RBMs is known to be challenging. Computing the likelihood of the model parameters or its gradient is in general computationally intensive. Thus, training...

  17. Laser machining of explosives

    Science.gov (United States)

    Perry, Michael D.; Stuart, Brent C.; Banks, Paul S.; Myers, Booth R.; Sefcik, Joseph A.

    2000-01-01

    The invention consists of a method for machining (cutting, drilling, sculpting) of explosives (e.g., TNT, TATB, PETN, RDX, etc.). By using pulses of a duration in the range of 5 femtoseconds to 50 picoseconds, extremely precise and rapid machining can be achieved with essentially no heat or shock affected zone. In this method, material is removed by a nonthermal mechanism. A combination of multiphoton and collisional ionization creates a critical density plasma in a time scale much shorter than electron kinetic energy is transferred to the lattice. The resulting plasma is far from thermal equilibrium. The material is in essence converted from its initial solid-state directly into a fully ionized plasma on a time scale too short for thermal equilibrium to be established with the lattice. As a result, there is negligible heat conduction beyond the region removed resulting in negligible thermal stress or shock to the material beyond a few microns from the laser machined surface. Hydrodynamic expansion of the plasma eliminates the need for any ancillary techniques to remove material and produces extremely high quality machined surfaces. There is no detonation or deflagration of the explosive in the process and the material which is removed is rendered inert.

  18. Electrical Discharge Machining.

    Science.gov (United States)

    Montgomery, C. M.

    The manual is for use by students learning electrical discharge machining (EDM). It consists of eight units divided into several lessons, each designed to meet one of the stated objectives for the unit. The units deal with: introduction to and advantages of EDM, the EDM process, basic components of EDM, reaction between forming tool and workpiece,…

  19. Massively collaborative machine learning

    NARCIS (Netherlands)

    Rijn, van J.N.

    2016-01-01

    Many scientists are focussed on building models. We nearly process all information we perceive to a model. There are many techniques that enable computers to build models as well. The field of research that develops such techniques is called Machine Learning. Many research is devoted to develop comp

  20. Ramifications of Increased Training in Quantitative Methodology

    Science.gov (United States)

    Zimiles, Herbert

    2009-01-01

    Comments on the article "Doctoral training in statistics, measurement, and methodology in psychology: Replication and extension of Aiken, West, Sechrest, and Reno's (1990) survey of PhD programs in North America" by Aiken, West, and Millsap. The current author asks three questions that are provoked by the comprehensive identification of gaps and…

  1. Comparison in religion: a methodological contribution

    NARCIS (Netherlands)

    Hermans, C.A.M.; Sterkens, C.J.A.

    2014-01-01

    How do we build theory on religion in cross-religious research? This article deals with four methodological issues in answering this question. What are the goals of cross-religious comparison? What is the object of cross-religious research? What kind of definition of religion is used in cross-religi

  2. Recent Advances on Permanent Magnet Machines

    Institute of Scientific and Technical Information of China (English)

    诸自强

    2012-01-01

    This paper overviews advances on permanent magnet(PM) brushless machines over last 30 years,with particular reference to new and novel machine topologies.These include current states and trends for surface-mounted and interior PM machines,electrically and mechanically adjusted variable flux PM machines including memory machine,hybrid PM machines which uniquely integrate PM technology into induction machines,switched and synchronous reluctance machines and wound field machines,Halbach PM machines,dual-rotor PM machines,and magnetically geared PM machines,etc.The paper highlights their features and applications to various market sectors.

  3. Technical and Symbolic Knowledge in CNC Machining: A Study of Technical Workers of Different Backgrounds.

    Science.gov (United States)

    Martin, Laura M. W.; Beach, King

    Performances of 45 individuals with varying degrees of formal and informal training in machining and programming were compared on tasks designed to tap intellectual changes that may occur with the introduction of computer numerical control (CNC). Participants--30 machinists, 8 machine operators, and 7 engineers--were asked background questions and…

  4. Probability and sensitivity analysis of machine foundation and soil interaction

    Directory of Open Access Journals (Sweden)

    Králik J., jr.

    2009-06-01

    Full Text Available This paper deals with the possibility of the sensitivity and probabilistic analysis of the reliability of the machine foundation depending on variability of the soil stiffness, structure geometry and compressor operation. The requirements to design of the foundation under rotating machines increased due to development of calculation method and computer tools. During the structural design process, an engineer has to consider problems of the soil-foundation and foundation-machine interaction from the safety, reliability and durability of structure point of view. The advantages and disadvantages of the deterministic and probabilistic analysis of the machine foundation resistance are discussed. The sensitivity of the machine foundation to the uncertainties of the soil properties due to longtime rotating movement of machine is not negligible for design engineers. On the example of compressor foundation and turbine fy. SIEMENS AG the affectivity of the probabilistic design methodology was presented. The Latin Hypercube Sampling (LHS simulation method for the analysis of the compressor foundation reliability was used on program ANSYS. The 200 simulations for five load cases were calculated in the real time on PC. The probabilistic analysis gives us more complex information about the soil-foundation-machine interaction as the deterministic analysis.

  5. Semi-automated categorization of open-ended questions

    Directory of Open Access Journals (Sweden)

    Matthias Schonlau

    2016-08-01

    Full Text Available Text data from open-ended questions in surveys are difficult to analyze and are frequently ignored. Yet open-ended questions are important because they do not constrain respondents’ answer choices. Where open-ended questions are necessary, sometimes multiple human coders hand-code answers into one of several categories. At the same time, computer scientists have made impressive advances in text mining that may allow automation of such coding. Automated algorithms do not achieve an overall accuracy high enough to entirely replace humans. We categorize open-ended questions soliciting narrative responses using text mining for easy-to-categorize answers and humans for the remainder using expected accuracies to guide the choice of the threshold delineating between “easy” and “hard”. Employing multinomial boosting avoids the common practice of converting machine learning “confidence scores” into pseudo-probabilities. This approach is illustrated with examples from open-ended questions related to respondents’ advice to a patient in a hypothetical dilemma, a follow-up probe related to respondents’ perception of disclosure/privacy risk, and from a question on reasons for quitting smoking from a follow-up survey from the Ontario Smoker’s Helpline. Targeting 80% combined accuracy, we found that 54%-80% of the data could be categorized automatically in research surveys.

  6. THE AGILE METHODOLOGY

    Directory of Open Access Journals (Sweden)

    Charul Deewan

    2012-09-01

    Full Text Available The technologies are numerous and Software is the one whichis most widely used. Some companies have their owncustomized methodology for developing their software but themajority speaks about two kinds of methodologies: Traditionaland Agile methodologies. In this paper, we will discuss someof the aspects of what Agile methodology is, how it can beused to get the best result from a project, how do we get it towork in an organization.

  7. 2016 IFToMM Asian Conference on Mechanism and Machine Science (IFToMM Asian MMS 2016) & 2016 International Conference on Mechanism and Machine Science (CCMMS 2016)

    CERN Document Server

    Wang, Nianfeng; Huang, Yanjiang

    2017-01-01

    These proceedings collect the latest research results in mechanism and machine science, intended to reinforce and improve the role of mechanical systems in a variety of applications in daily life and industry. Gathering more than 120 academic papers, it addresses topics including: Computational kinematics, Machine elements, Actuators, Gearing and transmissions, Linkages and cams, Mechanism design, Dynamics of machinery, Tribology, Vehicle mechanisms, dynamics and design, Reliability, Experimental methods in mechanisms, Robotics and mechatronics, Biomechanics, Micro/nano mechanisms and machines, Medical/welfare devices, Nature and machines, Design methodology, Reconfigurable mechanisms and reconfigurable manipulators, and Origami mechanisms. This is the fourth installment in the IFToMM Asian conference series on Mechanism and Machine Science (ASIAN MMS 2016). The ASIAN MMS conference initiative was launched to provide a forum mainly for the Asian community working in Mechanism and Machine Science, in order to ...

  8. Machine learning in image steganalysis

    CERN Document Server

    Schaathun, Hans Georg

    2012-01-01

    "The only book to look at steganalysis from the perspective of machine learning theory, and to apply the common technique of machine learning to the particular field of steganalysis; ideal for people working in both disciplines"--

  9. New Applications of Learning Machines

    DEFF Research Database (Denmark)

    Larsen, Jan

    * Machine learning framework for sound search * Genre classification * Music separation * MIMO channel estimation and symbol detection......* Machine learning framework for sound search * Genre classification * Music separation * MIMO channel estimation and symbol detection...

  10. New Applications of Learning Machines

    DEFF Research Database (Denmark)

    Larsen, Jan

    * Machine learning framework for sound search * Genre classification * Music separation * MIMO channel estimation and symbol detection......* Machine learning framework for sound search * Genre classification * Music separation * MIMO channel estimation and symbol detection...

  11. Hinged Shields for Machine Tools

    Science.gov (United States)

    Lallande, J. B.; Poland, W. W.; Tull, S.

    1985-01-01

    Flaps guard against flying chips, but fold away for tool setup. Clear plastic shield in position to intercept flying chips from machine tool and retracted to give operator access to workpiece. Machine shops readily make such shields for own use.

  12. 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

  13. Introduction to the theory of machines and languages

    Energy Technology Data Exchange (ETDEWEB)

    Weidhaas, P. P.

    1976-04-01

    This text is intended to be an elementary ''guided tour'' through some basic concepts of modern computer science. Various models of computing machines and formal languages are studied in detail. Discussions center around questions such as, ''What is the scope of problems that can or cannot be solved by computers.''

  14. Can Big Data Machines Analyze Stock Market Sentiment?

    Science.gov (United States)

    Dhar, Vasant

    2014-12-01

    Do the massive amounts of social and professionally curated data on the Internet contain useful sentiment about the market that "big data machines" can extract systematically? If so, what are the important challenges in creating economic value from these diffuse sources? In this commentary, I delve into these questions and frame the challenges involved using recent market developments as an illustrative backdrop.

  15. Mind, Machine, and Creativity: An Artist's Perspective

    Science.gov (United States)

    Sundararajan, Louise

    2014-01-01

    Harold Cohen is a renowned painter who has developed a computer program, AARON, to create art. While AARON has been hailed as one of the most creative AI programs, Cohen consistently rejects the claims of machine creativity. Questioning the possibility for AI to model human creativity, Cohen suggests in so many words that the human mind takes a…

  16. Continuities and discontinuities between humans, intelligent machines, and other entities

    NARCIS (Netherlands)

    Soraker, Johnny Hartz

    2014-01-01

    When it comes to the question of what kind of moral claim an intelligent or autonomous machine might have, one way to answer this is by way of comparison with humans: Is there a fundamental difference between humans and other entities? If so, on what basis, and what are the implications for science

  17. Design of Sugarcane Peeling Machine

    Directory of Open Access Journals (Sweden)

    Ge Xinfeng

    2015-02-01

    Full Text Available In order to solve the problem that appeared in hand peeling sugarcane, the sugarcane peeling machine is designed, the sugarcane peeling machine includes motor, groove wheel, cutting room, slider crank mechanism, reducer (including belt drive, chain drive and so on. The designed sugarcane peeling machine is simulated, the results show that the sugarcane peeling machine can peel sugarcane successfully with convenient, fast and uniform.

  18. Automatically-Programed Machine Tools

    Science.gov (United States)

    Purves, L.; Clerman, N.

    1985-01-01

    Software produces cutter location files for numerically-controlled machine tools. APT, acronym for Automatically Programed Tools, is among most widely used software systems for computerized machine tools. APT developed for explicit purpose of providing effective software system for programing NC machine tools. APT system includes specification of APT programing language and language processor, which executes APT statements and generates NC machine-tool motions specified by APT statements.

  19. Automatically-Programed Machine Tools

    Science.gov (United States)

    Purves, L.; Clerman, N.

    1985-01-01

    Software produces cutter location files for numerically-controlled machine tools. APT, acronym for Automatically Programed Tools, is among most widely used software systems for computerized machine tools. APT developed for explicit purpose of providing effective software system for programing NC machine tools. APT system includes specification of APT programing language and language processor, which executes APT statements and generates NC machine-tool motions specified by APT statements.

  20. Feature Recognition for Virtual Machining

    OpenAIRE

    Xú, Shixin; Anwer, Nabil; Qiao, Lihong

    2014-01-01

    International audience; Virtual machining uses software tools to simulate machining processes in virtual environments ahead of actual production. This paper proposes that feature recognition techniques can be applied in the course of virtual machining, such as identifying some process problems, and presenting corresponding correcting advices. By comparing with the original CAD model, form errors of the machining features can be found. And then corrections are suggested to process designers. T...

  1. Question Driven Instruction with Classroom Response Technology

    Science.gov (United States)

    Gerace, William; Beatty, Ian

    2007-10-01

    Essentially, a classroom response system is technology that: 1) allows an instructor to present a question or problem to the class; 2) allows students to enter their answers into some kind of device; and 3) instantly aggregates and summarizes students' answers for the instructor, usually as a histogram. Most response systems provide additional functionality. Some additional names for this class of system (or for subsets of the class) are classroom communication system (CCS), audience response system (ARS), voting machine system, audience feedback system, and--most ambitiously--CATAALYST system (for ``Classroom Aggregation Technology for Activating and Assessing Learning and Your Students' Thinking''). UMPERG has been teaching with and researching classroom response systems since 1993. We find that the technology has the potential to transform the way we teach science in large lecture settings. CRSs can serve as catalysts for creating a more interactive, student-centered classroom in the lecture hall, thereby allowing students to become more actively involved in constructing and using knowledge. CRSs not only make it easier to engage students in learning activities during lecture but also enhance the communication among students, and between the students and the instructor. This enhanced communication assists the students and the instructor in assessing understanding during class time, and affords the instructor the opportunity to devise instructional interventions that target students' needs as they arise.

  2. Machine vision and the OMV

    Science.gov (United States)

    Mcanulty, M. A.

    1986-01-01

    The orbital Maneuvering Vehicle (OMV) is intended to close with orbiting targets for relocation or servicing. It will be controlled via video signals and thruster activation based upon Earth or space station directives. A human operator is squarely in the middle of the control loop for close work. Without directly addressing future, more autonomous versions of a remote servicer, several techniques that will doubtless be important in a future increase of autonomy also have some direct application to the current situation, particularly in the area of image enhancement and predictive analysis. Several techniques are presentet, and some few have been implemented, which support a machine vision capability proposed to be adequate for detection, recognition, and tracking. Once feasibly implemented, they must then be further modified to operate together in real time. This may be achieved by two courses, the use of an array processor and some initial steps toward data reduction. The methodology or adapting to a vector architecture is discussed in preliminary form, and a highly tentative rationale for data reduction at the front end is also discussed. As a by-product, a working implementation of the most advanced graphic display technique, ray-casting, is described.

  3. Representations sociales et discours. Questions epistemologiques et methodologiques (Social Representations and Discourse. Questions of Epistemology and Methodology).

    Science.gov (United States)

    Py, Bernard

    2000-01-01

    This article introduces this issue of the journal, a compilation of articles that share the common goal of drawing correlations between social representations and the dialogue that formulates them. Most of the articles were written by researchers working on a common project that aims to analyze the social representations of bilingualism in…

  4. The Neural Support Vector Machine

    NARCIS (Netherlands)

    Wiering, Marco; van der Ree, Michiel; Embrechts, Mark; Stollenga, Marijn; Meijster, Arnold; Nolte, A; Schomaker, Lambertus

    2013-01-01

    This paper describes a new machine learning algorithm for regression and dimensionality reduction tasks. The Neural Support Vector Machine (NSVM) is a hybrid learning algorithm consisting of neural networks and support vector machines (SVMs). The output of the NSVM is given by SVMs that take a

  5. The Neural Support Vector Machine

    NARCIS (Netherlands)

    Wiering, Marco; van der Ree, Michiel; Embrechts, Mark; Stollenga, Marijn; Meijster, Arnold; Nolte, A; Schomaker, Lambertus

    2013-01-01

    This paper describes a new machine learning algorithm for regression and dimensionality reduction tasks. The Neural Support Vector Machine (NSVM) is a hybrid learning algorithm consisting of neural networks and support vector machines (SVMs). The output of the NSVM is given by SVMs that take a centr

  6. Practical aspects of the technical and technological development level determining the machine-building enterprise

    Directory of Open Access Journals (Sweden)

    O.G. Shevliuga

    2014-09-01

    Full Text Available The aim of the article. The aim of the article is to determine the technical-technological development level of the machine-building enterprise on the basis of the proposed methodological approach. The results of the analysis. Low innovation activity of enterprises creates opportunities for improving many of its aspects. The technical-technological development is an essential part of modern enterprise innovation activity, which is an important component of successful functioning of enterprises. However, the question of finding funding sources for implementation of innovative changes remains open. Therefore it is necessary to involve different sources of funding to carry out the changes The proposed research and methodical recommendations facilitate application of scientific foundations for calculating the technical-technological development level in practice. The approach is aimed at the efficient use of existing fixed assets and introduction of technological innovations. The technical and technological components of the technical-technological development of machine-building enterprise “Turbomash Ltd” are examined in the article. The determination of its level allows defining the enterprise position in a competitive environment. The partial indicators of technical and technological TTD components during the period of 2009-2013 years are used in the calculation. On the basis of partial indicators for the technical and technological components integrated indicators are calculated. With the help of expert estimations weight characteristics of partial indicators are determined. Conclusions and directions of futher researches. According to the calculation results analyzed enterprise is positioned in the two-dimensional matrix based on integral indicators for the technical and technological components. Recommendations concerning measures of increasing the technical-technological development level of the enterprise are offered. For its increasing

  7. 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.

  8. Prediction of Machine Tool Condition Using Support Vector Machine

    Science.gov (United States)

    Wang, Peigong; Meng, Qingfeng; Zhao, Jian; Li, Junjie; Wang, Xiufeng

    2011-07-01

    Condition monitoring and predicting of CNC machine tools are investigated in this paper. Considering the CNC machine tools are often small numbers of samples, a condition predicting method for CNC machine tools based on support vector machines (SVMs) is proposed, then one-step and multi-step condition prediction models are constructed. The support vector machines prediction models are used to predict the trends of working condition of a certain type of CNC worm wheel and gear grinding machine by applying sequence data of vibration signal, which is collected during machine processing. And the relationship between different eigenvalue in CNC vibration signal and machining quality is discussed. The test result shows that the trend of vibration signal Peak-to-peak value in surface normal direction is most relevant to the trend of surface roughness value. In trends prediction of working condition, support vector machine has higher prediction accuracy both in the short term ('One-step') and long term (multi-step) prediction compared to autoregressive (AR) model and the RBF neural network. Experimental results show that it is feasible to apply support vector machine to CNC machine tool condition prediction.

  9. Do User (Browse and Click) Sessions Relate to Their Questions in a Domain-specific Collection?

    DEFF Research Database (Denmark)

    Steinhauer, Jeremy; Delcambre, Lois M.L.; Lykke, Marianne

    2013-01-01

    relate to the question that they are answering. The contribution of this paper is the evalua-tion of the suitability of common machine learning metrics (measuring the dis-tance between two sessions) to distinguish sessions of users searching for the answer to same or different questions. We found...... that sessions for people an-swering the same question are significantly different that those answering dif-ferent questions, but results are dependent on the distance metric used. We ex-plain why some distance metrics performed better than others....

  10. A Boltzmann machine for the organization of intelligent machines

    Science.gov (United States)

    Moed, Michael C.; Saridis, George N.

    1989-01-01

    In the present technological society, there is a major need to build machines that would execute intelligent tasks operating in uncertain environments with minimum interaction with a human operator. Although some designers have built smart robots, utilizing heuristic ideas, there is no systematic approach to design such machines in an engineering manner. Recently, cross-disciplinary research from the fields of computers, systems AI and information theory has served to set the foundations of the emerging area of the design of intelligent machines. Since 1977 Saridis has been developing an approach, defined as Hierarchical Intelligent Control, designed to organize, coordinate and execute anthropomorphic tasks by a machine with minimum interaction with a human operator. This approach utilizes analytical (probabilistic) models to describe and control the various functions of the intelligent machine structured by the intuitively defined principle of Increasing Precision with Decreasing Intelligence (IPDI) (Saridis 1979). This principle, even though resembles the managerial structure of organizational systems (Levis 1988), has been derived on an analytic basis by Saridis (1988). The purpose is to derive analytically a Boltzmann machine suitable for optimal connection of nodes in a neural net (Fahlman, Hinton, Sejnowski, 1985). Then this machine will serve to search for the optimal design of the organization level of an intelligent machine. In order to accomplish this, some mathematical theory of the intelligent machines will be first outlined. Then some definitions of the variables associated with the principle, like machine intelligence, machine knowledge, and precision will be made (Saridis, Valavanis 1988). Then a procedure to establish the Boltzmann machine on an analytic basis will be presented and illustrated by an example in designing the organization level of an Intelligent Machine. A new search technique, the Modified Genetic Algorithm, is presented and proved

  11. Methodology for astronaut reconditioning research.

    Science.gov (United States)

    Beard, David J; Cook, Jonathan A

    2017-01-01

    Space medicine offers some unique challenges, especially in terms of research methodology. A specific challenge for astronaut reconditioning involves identification of what aspects of terrestrial research methodology hold and which require modification. This paper reviews this area and presents appropriate solutions where possible. It is concluded that spaceflight rehabilitation research should remain question/problem driven and is broadly similar to the terrestrial equivalent on small populations, such as rare diseases and various sports. Astronauts and Medical Operations personnel should be involved at all levels to ensure feasibility of research protocols. There is room for creative and hybrid methodology but careful systematic observation is likely to be more achievable and fruitful than complex trial based comparisons. Multi-space agency collaboration will be critical to pool data from small groups of astronauts with the accepted use of standardised outcome measures across all agencies. Systematic reviews will be an essential component. Most limitations relate to the inherent small sample size available for human spaceflight research. Early adoption of a co-operative model for spaceflight rehabilitation research is therefore advised.

  12. Engineering molecular machines

    Science.gov (United States)

    Erman, Burak

    2016-04-01

    Biological molecular motors use chemical energy, mostly in the form of ATP hydrolysis, and convert it to mechanical energy. Correlated thermal fluctuations are essential for the function of a molecular machine and it is the hydrolysis of ATP that modifies the correlated fluctuations of the system. Correlations are consequences of the molecular architecture of the protein. The idea that synthetic molecular machines may be constructed by designing the proper molecular architecture is challenging. In their paper, Sarkar et al (2016 New J. Phys. 18 043006) propose a synthetic molecular motor based on the coarse grained elastic network model of proteins and show by numerical simulations that motor function is realized, ranging from deterministic to thermal, depending on temperature. This work opens up a new range of possibilities of molecular architecture based engine design.

  13. Boosting Support Vector Machines

    Directory of Open Access Journals (Sweden)

    Elkin Eduardo García Díaz

    2006-11-01

    Full Text Available En este artículo, se presenta un algoritmo de clasificación binaria basado en Support Vector Machines (Máquinas de Vectores de Soporte que combinado apropiadamente con técnicas de Boosting consigue un mejor desempeño en cuanto a tiempo de entrenamiento y conserva características similares de generalización con un modelo de igual complejidad pero de representación más compacta./ In this paper we present an algorithm of binary classification based on Support Vector Machines. It is combined with a modified Boosting algorithm. It run faster than the original SVM algorithm with a similar generalization error and equal complexity model but it has more compact representation.

  14. Quo vadis, Intelligent Machine?

    Directory of Open Access Journals (Sweden)

    Rosemarie Velik

    2010-09-01

    Full Text Available Artificial Intelligence (AI is a branch of computer science concerned with making computers behave like humans. At least this was the original idea. However, it turned out that this is no task easy to be solved. This article aims to give a comprehensible review on the last 60 years of artificial intelligence taking a philosophical viewpoint. It is outlined what happened so far in AI, what is currently going on in this research area, and what can be expected in future. The goal is to mediate an understanding for the developments and changes in thinking in course of time about how to achieve machine intelligence. The clear message is that AI has to join forces with neuroscience and other brain disciplines in order to make a step towards the development of truly intelligent machines.

  15. Introduction to Machine Protection

    CERN Document Server

    Schmidt, R

    2016-01-01

    Protection of accelerator equipment is as old as accelerator technology and was for many years related to high-power equipment. Examples are the protection of powering equipment from overheating (magnets, power converters, high-current cables), of superconducting magnets from damage after a quench and of klystrons. The protection of equipment from beam accidents is more recent, although there was one paper that discussed beam-induced damage for the SLAC linac (Stanford Linear Accelerator Center) as early as in 1967. It is related to the increasing beam power of high-power proton accelerators, to the emission of synchrotron light by electron-positron accelerators and to the increase of energy stored in the beam. Designing a machine protection system requires an excellent understanding of accelerator physics and operation to anticipate possible failures that could lead to damage. Machine protection includes beam and equipment monitoring, a system to safely stop beam operation (e.g. dumping the beam or stopping ...

  16. Arts and Techniques of Questioning

    Institute of Scientific and Technical Information of China (English)

    Sun Yu

    2011-01-01

    Most learners learn English from teachers in classroom. Therefore, classroom instruction plays a very important role. Teachers' questioning constitutes a very significant aspect of classroom teaching. It is not only an important part of classroom interaction but an effective way of learning second language as well.

  17. Understanding Bitcoins: Facts and Questions

    OpenAIRE

    Bruno Saboia de Albuquerque; Marcelo de Castro Callado

    2015-01-01

    The objective of this work is to do a research challenge about the digital currency named Bitcoins, as well as exploit the general concept behind digital currencies and cryptocurrencies, and enumerate some of its current criticism and problems. Such currencies usage and public knowledge is increasing hastily on the last few months, and many questions arise with its popularity.

  18. Questioning Mechanisms During Complex Learning

    Science.gov (United States)

    1992-03-11

    is probably a general phenomenon in this culture that tutors are reluctant to give negative feedback on students’ errors and poor answers. Instead of...1991). Questioning in classrooms: A sociolinguistic perspective. Review of £’fiu!r’aiona1 R.ear.h, L, 157-178. Carroll, J. M., Mack, R. L., Lewis, C

  19. Understanding Bitcoins: Facts and Questions

    Directory of Open Access Journals (Sweden)

    Bruno Saboia de Albuquerque

    2015-03-01

    Full Text Available The objective of this work is to do a research challenge about the digital currency named Bitcoins, as well as exploit the general concept behind digital currencies and cryptocurrencies, and enumerate some of its current criticism and problems. Such currencies usage and public knowledge is increasing hastily on the last few months, and many questions arise with its popularity.

  20. Methodology of Education and R&D in Mechatronics.

    Science.gov (United States)

    Yamazaki, K.; And Others

    1985-01-01

    Describes the concept and methodology of "mechatronics" (application of microelectronics to mechanism control) and research and development (R&D) projects through the activities initiated at the Precision Machining Laboratory of the Department of Production Systems Engineering of the new Toyohashi University of Technology. (JN)

  1. Methodology of Education and R&D in Mechatronics.

    Science.gov (United States)

    Yamazaki, K.; And Others

    1985-01-01

    Describes the concept and methodology of "mechatronics" (application of microelectronics to mechanism control) and research and development (R&D) projects through the activities initiated at the Precision Machining Laboratory of the Department of Production Systems Engineering of the new Toyohashi University of Technology. (JN)

  2. Technological requirements of profile machining

    Institute of Scientific and Technical Information of China (English)

    PARK Sangchul; CHUNG Yunchan

    2006-01-01

    The term ‘profile machining’is used to refer to the milling of vertical surfaces described by profile curves. Profile machining requires higher precision (1/1000 mm) than regular 3D machining (1/100 mm) with the erosion of sharp vertices should being especially avoided. Although, profile machining is very essential for making trimming and flangedies, it seldom brought into focus. This paper addresses the technological requirements of profile machining including machining width and depth control,minimizing toolware, and protecting sharp vertices. Issues of controller alarms are also addressed.

  3. Machining fiber-reinforced composites

    Science.gov (United States)

    Komanduri, Ranga

    1993-04-01

    Compared to high tool wear and high costs of tooling of fiber-reinforced composites (FRCs), noncontact material-removal processes offer attractive alternative. Noncontact machining methods can also minimize dust, noise, and extensive plastic deformation and consequent heat generation associated with conventional machining of FRCs, espacially those with an epoxy matrix. The paper describes the principles involved in and the details of machining of FRCs by laser machining, water jet-cutting and abrasive water jet-cutting, and electrical discharge machining of composites, as well as the limitations of each method.

  4. Future database machine architectures

    OpenAIRE

    Hsiao, David K.

    1984-01-01

    There are many software database management systems available on many general-purpose computers ranging from micros to super-mainframes. Database machines as backened computers can offload the database management work from the mainframe so that we can retain the same mainframe longer. However, the database backend must also demonstrate lower cost, higher performance, and newer functionality. Some of the fundamental architecture issues in the design of high-performance and great-capacity datab...

  5. Machine Learning at Scale

    OpenAIRE

    Izrailev, Sergei; Stanley, Jeremy M.

    2014-01-01

    It takes skill to build a meaningful predictive model even with the abundance of implementations of modern machine learning algorithms and readily available computing resources. Building a model becomes challenging if hundreds of terabytes of data need to be processed to produce the training data set. In a digital advertising technology setting, we are faced with the need to build thousands of such models that predict user behavior and power advertising campaigns in a 24/7 chaotic real-time p...

  6. Cost of photochemical machining

    OpenAIRE

    Roy, Rajkumar; Allen, David; Zamora, Oscar

    2004-01-01

    Photochemical machining (PCM), also known as photoetching, photofabrication or photochemical milling, is a non-traditional manufacturing method based on the combination of photoresist imaging and chemical etching. PCM uses techniques similar to those employed for the production of printed circuit boards and silicon integrated circuits. The PCM industry plays a valuable worldwide role in the production of metal precision parts and decorative items. Parts produced by PCM are t...

  7. Austempered Ductile Iron Machining

    Science.gov (United States)

    Pilc, Jozef; Šajgalík, Michal; Holubják, Jozef; Piešová, Marianna; Zaušková, Lucia; Babík, Ondrej; Kuždák, Viktor; Rákoci, Jozef

    2015-12-01

    This article deals with the machining of cast iron. In industrial practice, Austempered Ductile Iron began to be used relatively recently. ADI is ductile iron that has gone through austempering to get improved properties, among which we can include strength, wear resistance or noise damping. This specific material is defined also by other properties, such as high elasticity, ductility and endurance against tenigue, which are the properties, that considerably make the tooling characteristic worse.

  8. Quantum Virtual Machine (QVM)

    Energy Technology Data Exchange (ETDEWEB)

    2016-11-18

    There is a lack of state-of-the-art HPC simulation tools for simulating general quantum computing. Furthermore, there are no real software tools that integrate current quantum computers into existing classical HPC workflows. This product, the Quantum Virtual Machine (QVM), solves this problem by providing an extensible framework for pluggable virtual, or physical, quantum processing units (QPUs). It enables the execution of low level quantum assembly codes and returns the results of such executions.

  9. Agent Based Computing Machine

    Science.gov (United States)

    2005-12-09

    be used in Phase 2 to accomplish the following enhancements. Due to the speed and support of MPI for C/C++ on Beowulf clusters , these languages could...1.7 ABC Machine Formal Definition 24 1.8 Computational Analysis 31 1.9 Programming Concepts 34 1.10 Cluster Mapping 38 1.11 Phase 1 Results 43 2...options for hardware implementation are explored including an emulation with a high performance cluster , a high performance silicon chip and the

  10. Magnetic Electrochemical Finishing Machining

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    How to improve the finishing efficiency and surface roughness have been all along the objective of research in electrochemical polishing. However, the research activity, i.e. during electrochemical polishing, directly introduce the magnetic field to study how the magnetic field influences on the finishing efficiency, quality and the electrochemical process in the field of finishing machining technology, is insufficient. When introducing additional magnetic field in the traditional electrochemical pol...

  11. FMS precision machining

    Energy Technology Data Exchange (ETDEWEB)

    Burnham, M.W.

    1980-01-01

    In evaluating the technical obstacles and accuracy limits to producing a Precision Flexible Manufacturing System, a current system is subjected to an error budget analysis. It is noted that to make complex part geometries with tolerances in the lower thousandths range, machining to tenths is required for process control. Actual parts made to tenths are illustrated, along with a discussion of the requirements for automation and for process control.

  12. 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

  13. Electrochemical Discharge Machining Process

    Directory of Open Access Journals (Sweden)

    Anjali V. Kulkarni

    2007-09-01

    Full Text Available Electrochemical discharge machining process is evolving as a promising micromachiningprocess. The experimental investigations in the present work substantiate this trend. In the presentwork, in situ, synchronised, transient temperature and current measurements have been carriedout. The need for the transient measurements arose due to the time-varying nature of the dischargeformation and time varying circuit current. Synchronised and transient measurements revealedthe discrete nature of the process. It also helped in formulating the basic mechanism for thedischarge formation and the material removal in the process. Temperature profile on workpieceand in electrochemical discharge machining cell is experimentally measured using pyrometer,and two varieties of K-type thermocouples. Surface topography of the discharge-affected zoneson the workpiece has been carried out using scanning electron microscope. Measurements andsurface topographical studies reveal the potential use of this process for machining in micronregime. With careful experimental set-up design, suitable supply voltage and its polarity, theprocess can be applied for both micromachining and micro-deposition. It can be extended formachining and or deposition of wide range of materials.

  14. Introduction: Minds, Bodies, Machines

    Directory of Open Access Journals (Sweden)

    Deirdre Coleman

    2008-10-01

    Full Text Available This issue of 19 brings together a selection of essays from an interdisciplinary conference on 'Minds, Bodies, Machines' convened last year by Birkbeck's Centre for Nineteenth-Century Studies, University of London, in partnership with the English programme, University of Melbourne and software developers Constraint Technologies International (CTI. The conference explored the relationship between minds, bodies and machines in the long nineteenth century, with a view to understanding the history of our technology-driven, post-human visions. It is in the nineteenth century that the relationship between the human and the machine under post-industrial capitalism becomes a pervasive theme. From Blake on the mills of the mind by which we are enslaved, to Carlyle's and Arnold's denunciation of the machinery of modern life, from Dickens's sooty fictional locomotive Mr Pancks, who 'snorted and sniffed and puffed and blew, like a little labouring steam-engine', and 'shot out […]cinders of principles, as if it were done by mechanical revolvency', to the alienated historical body of the late-nineteenth-century factory worker under Taylorization, whose movements and gestures were timed, regulated and rationalised to maximize efficiency; we find a cultural preoccupation with the mechanisation of the nineteenth-century human body that uncannily resonates with modern dreams and anxieties around technologies of the human.

  15. Machine Learning in Medicine.

    Science.gov (United States)

    Deo, Rahul C

    2015-11-17

    Spurred by advances in processing power, memory, storage, and an unprecedented wealth of data, computers are being asked to tackle increasingly complex learning tasks, often with astonishing success. Computers have now mastered a popular variant of poker, learned the laws of physics from experimental data, and become experts in video games - tasks that would have been deemed impossible not too long ago. In parallel, the number of companies centered on applying complex data analysis to varying industries has exploded, and it is thus unsurprising that some analytic companies are turning attention to problems in health care. The purpose of this review is to explore what problems in medicine might benefit from such learning approaches and use examples from the literature to introduce basic concepts in machine learning. It is important to note that seemingly large enough medical data sets and adequate learning algorithms have been available for many decades, and yet, although there are thousands of papers applying machine learning algorithms to medical data, very few have contributed meaningfully to clinical care. This lack of impact stands in stark contrast to the enormous relevance of machine learning to many other industries. Thus, part of my effort will be to identify what obstacles there may be to changing the practice of medicine through statistical learning approaches, and discuss how these might be overcome.

  16. Behind the machines

    CERN Document Server

    Laëtitia Pedroso

    2010-01-01

    One of the first things we think about when someone mentions physics is the machines. But behind the machines, there are the men and women who design, build and operate them. In an exhibition at the Thinktank planetarium’s art gallery in Birmingham (UK), Claudia Marcelloni and her husband Neal Hartman—she is a photographer and Outreach Officer for ATLAS, while he is an engineer working on the ATLAS pixel detector—explore the human side of scientists.   The exhibition at the Thinktank Planetarium art gallery, Birmingham (UK). It all began two years ago with the publication of Exploring the mystery of matter, a book about ATLAS. “A Norwegian physicist friend, Heidi Sandaker, saw my photographs and suggested that I display them in a museum. I thought this was an interesting idea, except that the photos consisted entirely of depictions of machinery, with human beings completely absent. For me, showing the people who are behind the machines and the fascination ...

  17. A Narrative in Search of a Methodology.

    Science.gov (United States)

    Treloar, Anna; Stone, Teresa Elizabeth; McMillan, Margaret; Flakus, Kirstin

    2015-07-01

    Research papers present us with the summaries of scholars' work; what we readers do not see are the struggles behind the decision to choose one methodology over another. A student's mental health portfolio contained a narrative that led to an exploration of the most appropriate methodology for a projected study of clinical anecdotes told by nurses who work in mental health settings to undergraduates and new recruits about mental health nursing. This paper describes the process of struggle, beginning with the student's account, before posing a number of questions needing answers before the choice of the most appropriate methodology. We argue, after discussing the case for the use of literary analysis, discourse analysis, symbolic interactionism, hermeneutics, and narrative research, that case study research is the methodology of choice. Case study is frequently used in educational research and is sufficiently flexible to allow for an exploration of the phenomenon. © 2014 Wiley Periodicals, Inc.

  18. Soft computing in machine learning

    CERN Document Server

    Park, Jooyoung; Inoue, Atsushi

    2014-01-01

    As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis. You can train machines to perform some things, so that they can automatically detect, diagnose, and solve a variety of problems. The intelligent systems have made rapid progress in developing the state of the art in machine learning based on smart and deep perception. Using machine learning, the intelligent systems make widely applications in automated speech recognition, natural language processing, medical diagnosis, bioinformatics, and robot locomotion. This book aims at introducing how to treat a substantial amount of data, to teach machines and to improve decision making models. And this book specializes in the developments of advanced intelligent systems through machine learning. It...

  19. 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...

  20. Machine learning research 1989-90

    Science.gov (United States)

    Porter, Bruce W.; Souther, Arthur

    1990-01-01

    Multifunctional knowledge bases offer a significant advance in artificial intelligence because they can support numerous expert tasks within a domain. As a result they amortize the costs of building a knowledge base over multiple expert systems and they reduce the brittleness of each system. Due to the inevitable size and complexity of multifunctional knowledge bases, their construction and maintenance require knowledge engineering and acquisition tools that can automatically identify interactions between new and existing knowledge. Furthermore, their use requires software for accessing those portions of the knowledge base that coherently answer questions. Considerable progress was made in developing software for building and accessing multifunctional knowledge bases. A language was developed for representing knowledge, along with software tools for editing and displaying knowledge, a machine learning program for integrating new information into existing knowledge, and a question answering system for accessing the knowledge base.

  1. The Mean Machine.

    Science.gov (United States)

    McShane, Joan Braunagel

    1988-01-01

    Discusses a research project of testing detergents that resulted from students' classroom observations of and questions about water pollution and suds. Outlines procedures and responsibilities necessary for conducting the experiment. A sample student data sheet is included. (RT)

  2. Qualitative and quantitative research in Sociolinguistics: methodological dadaism?

    Directory of Open Access Journals (Sweden)

    Caroline Rodrigues Cardoso

    2013-07-01

    Full Text Available The confluence between quantitative and qualitative research in Sociolinguistics is a methodological Dadaism? The issue here is not epistemology, because I assume that the Sociolinguistics studies the language linked to social. I want to demonstrate that the methodological approach depends on the research question, ie, the subject about which a thesis is developed.

  3. A Critique for the Methodology of Scientific Research Programmes

    OpenAIRE

    Naji, S

    2009-01-01

    The purpose of the paper is to evaluate of Imre Lakatos' MSRP (Methodology of Scientific Research Programs). Presenting the methodology which is based on Popperian Refutationism, Lakatos intended to overcome Pluralism (, Relativism and Skepticism) and distinguishes the best theory (/program) in science. The question is that did the lakatos' secondary change in the form and content of MSRP -against some historical facts and criticisms- make some serious deficiencies in his methodology? The ans...

  4. Reliability Centered Maintenance - Methodologies

    Science.gov (United States)

    Kammerer, Catherine C.

    2009-01-01

    Journal article about Reliability Centered Maintenance (RCM) methodologies used by United Space Alliance, LLC (USA) in support of the Space Shuttle Program at Kennedy Space Center. The USA Reliability Centered Maintenance program differs from traditional RCM programs because various methodologies are utilized to take advantage of their respective strengths for each application. Based on operational experience, USA has customized the traditional RCM methodology into a streamlined lean logic path and has implemented the use of statistical tools to drive the process. USA RCM has integrated many of the L6S tools into both RCM methodologies. The tools utilized in the Measure, Analyze, and Improve phases of a Lean Six Sigma project lend themselves to application in the RCM process. All USA RCM methodologies meet the requirements defined in SAE JA 1011, Evaluation Criteria for Reliability-Centered Maintenance (RCM) Processes. The proposed article explores these methodologies.

  5. Scenario development methodologies

    Energy Technology Data Exchange (ETDEWEB)

    Eng, T. [Swedish Nuclear Fuel and Waste Management Co., Stockholm (Sweden); Hudson, J. [Rock Engineering Consultants, Welwyn Garden City, Herts (United Kingdom); Stephansson, O. [Royal Inst. of Tech., Stockholm (Sweden). Div. of Engineering Geology; Skagius, K.; Wiborgh, M. [Kemakta, Stockholm (Sweden)

    1994-11-01

    In the period 1981-1994, SKB has studied several methodologies to systematize and visualize all the features, events and processes (FEPs) that can influence a repository for radioactive waste in the future. All the work performed is based on the terminology and basic findings in the joint SKI/SKB work on scenario development presented in the SKB Technical Report 89-35. The methodologies studied are (a) Event tree analysis, (b) Influence diagrams and (c) Rock Engineering Systems (RES) matrices. Each one of the methodologies is explained in this report as well as examples of applications. One chapter is devoted to a comparison between the two most promising methodologies, namely: Influence diagrams and the RES methodology. In conclusion a combination of parts of the Influence diagram and the RES methodology is likely to be a promising approach. 26 refs.

  6. Aliens and time in the machine age

    Science.gov (United States)

    Brake, Mark; Hook, Neil

    2006-12-01

    The 19th century saw sweeping changes for the development of astrobiology, both in the constituency of empirical science encroaching upon all aspects of life and in the evolution of ideas, with Lyell's Principles of Geology radically raising expectation of the true age of the Earth and the drama of Darwinism questioning biblically literalist accounts of natural history. This paper considers the popular culture spun on the crackling loom of the emergent aspects of astrobiology of the day: Edward Bulwer-Lytton's The Coming Race (1871), which foretold the race of the future, and satirist Samuel Butler's anticipation of machine intelligence, `Darwin Among the Machines', in his Erewhon (1872). Finally, we look at the way Darwin, Huxley and natural selection travelled into space with French astronomer Camille Flammarion's immensely popular Récits de l'infini (Stories of Infinity, 1872), and the social Darwinism of H.G. Wells' The Time Machine (1895) and The War of the Worlds (1898). These works of popular culture presented an effective and inspiring communication of science; their crucial discourse was the reducible gap between the new worlds uncovered by science and exploration and the fantastic strange worlds of the imagination. As such they exemplify a way in which the culture and science of popular astrobiology can be fused.

  7. Optical vs. chemical driving for molecular machines.

    Science.gov (United States)

    Astumian, R D

    2016-12-22

    Molecular machines use external energy to drive transport, to do mechanical, osmotic, or electrical work on the environment, and to form structure. In this paper the fundamental difference between the design principles necessary for a molecular machine to use light or external modulation of thermodynamic parameters as an energy source vs. the design principle for using an exergonic chemical reaction as a fuel will be explored. The key difference is that for catalytically-driven motors microscopic reversibility must hold arbitrarily far from equilibrium. Applying the constraints of microscopic reversibility assures that a coarse grained model is consistent with an underlying model for motion on a single time-independent potential energy surface. In contrast, light-driven processes, and processes driven by external modulation of the thermodynamic parameters of a system cannot in general be described in terms of motion on a single time-independent potential energy surface, and the rate constants are not constrained by microscopic reversibility. The results presented here call into question the value of the so-called power stroke model as an explanation of the function of autonomous chemically-driven molecular machines such as are commonly found in biology.

  8. On a question of Gross

    Science.gov (United States)

    Banerjee, Abhijit

    2007-03-01

    Using the notion of weighted sharing of sets we prove two uniqueness theorems which improve the results proved by Fang and Qiu [H. Qiu, M. Fang, A unicity theorem for meromorphic functions, Bull. Malaysian Math. Sci. Soc. 25 (2002) 31-38], Lahiri and Banerjee [I. Lahiri, A. Banerjee, Uniqueness of meromorphic functions with deficient poles, Kyungpook Math. J. 44 (2004) 575-584] and Yi and Lin [H.X. Yi, W.C. Lin, Uniqueness theorems concerning a question of Gross, Proc. Japan Acad. Ser. A 80 (2004) 136-140] and thus provide an answer to the question of Gross [F. Gross, Factorization of meromorphic functions and some open problems, in: Proc. Conf. Univ. Kentucky, Lexington, KY, 1976, in: Lecture Notes in Math., vol. 599, Springer, Berlin, 1977, pp. 51-69], under a weaker hypothesis.

  9. Open verification methodology cookbook

    CERN Document Server

    Glasser, Mark

    2009-01-01

    Functional verification is an art as much as a science. It requires not only creativity and cunning, but also a clear methodology to approach the problem. The Open Verification Methodology (OVM) is a leading-edge methodology for verifying designs at multiple levels of abstraction. It brings together ideas from electrical, systems, and software engineering to provide a complete methodology for verifying large scale System-on-Chip (SoC) designs. OVM defines an approach for developing testbench architectures so they are modular, configurable, and reusable. This book is designed to help both novic

  10. Some open questions in hydrodynamics

    CERN Document Server

    Dyndal, Mateusz

    2014-01-01

    When speaking of unsolved problems in physics, this is surprising at first glance to discuss the case of fluid mechanics. However, there are many deep open questions that come with the theory of fluid mechanics. In this paper, we discuss some of them that we classify in two categories, the long term behavior of solutions of equations of hydrodynamics and the definition of initial (boundary) conditions. The first set of questions come with the non-relativistic theory based on the Navier-Stokes equations. Starting from smooth initial conditions, the purpose is to understand if solutions of Navier-Stokes equations remain smooth with the time evolution. Existence for just a finite time would imply the evolution of finite time singularities, which would have a major influence on the development of turbulent phenomena. The second set of questions come with the relativistic theory of hydrodynamics. There is an accumulating evidence that this theory may be relevant for the description of the medium created in high en...

  11. A questão metodológica na produção vigotskiana e a dialética marxista La cuestión metodológica en la producción vigotskiana y la dialéctica marxista The methodological question in the vigotskian production and marxist dialectics

    Directory of Open Access Journals (Sweden)

    Nancy Romanelli

    2011-06-01

    indisociables en el enfoque histórico-cultural; b el análisis dialéctico-materialista de los dilemas epistemológicos de la psicología se relaciona directamente con el campo más amplio de la producción científica; c la forma específica en la que Vigotski integró el legado marxista a la psicología tiene potencial para contribuir, también, a otras áreas de conocimiento.In this essay, we attempt to approach certain formulations posed by Vigotski in the methodological field. Highlighting the notable influence of Marx's and Engel's ideas upon the work of the byelorussian psychologist, we have aimed at: a pointing out Vigotski's criticism to the simplistic applications of historical and dialectical materialism to psychology; b bringing back the proposal elaborated by the author to the general psychology; c indicating certain methodological instruments elaborated by the psychologist himself; d identifying, in Vigotski's theoretical and methodological search, the marxist dialectical presuppositions. The undertaking, in this present study, of Vigotski's methodological inquiries has brought forth the following preliminary conclusions: a the specific search and the general formulations represent two indissoluble levels in the cultural-historical approach; b the dialectical-materialist analysis of psychology's epistemological dilemmas is directly linked to the broader field of scientific production; c the specific manner by which Vigotski has integrated the marxist legacy to psychology is potentially able to contribute, also, to other areas of knowledge.

  12. EQUIVALENT NORMAL CURVATURE APPROACH MILLING MODEL OF MACHINING FREEFORM SURFACES

    Institute of Scientific and Technical Information of China (English)

    YI Xianzhong; MA Weiguo; QI Haiying; YAN Zesheng; GAO Deli

    2008-01-01

    A new milling methodology with the equivalent normal curvature milling model machining freeform surfaces is proposed based on the normal curvature theorems on differential geometry. Moreover, a specialized whirlwind milling tool and a 5-axis CNC horizontal milling machine are introduced. This new milling model can efficiently enlarge the material removal volume at the tip of the whirlwind milling tool and improve the producing capacity. The machining strategy of this model is to regulate the orientation of the whirlwind milling tool relatively to the principal directions of the workpiece surface at the point of contact, so as to create a full match with collision avoidance between the workpiece surface and the symmetric rotational surface of the milling tool. The practical results show that this new milling model is an effective method in machining complex three- dimensional surfaces. This model has a good improvement on finishing machining time and scallop height in machining the freeform surfaces over other milling processes. Some actual examples for manufacturing the freeform surfaces with this new model are given.

  13. Questions as a tool to design

    DEFF Research Database (Denmark)

    Aurisicchio, Marco; Ahmed, Saeema; Wallace, Ken

    2007-01-01

    This paper describes an interpretation of design activity through investigating design questions. From a number of previous studies two types of question have been identified: 1) reasoning questions; and 2) strategic questions. Strategic questions are part of an experienced designers approach to ...

  14. Soft Physics and Intermittency Open Question(s) in Krakow

    CERN Document Server

    Peschanski, R

    1993-01-01

    This contribution contains a summary of the Krakow meeting on Soft Physics and Fluctuations. It emphasizes both the experimental and the theoretical investigations on correlations/fluctuations and intermittency in multi-particle processes and discusses of the present status of this concept. A clarification of the main open questions in this field of research is now within reach, thanks to the studies presented at the meeting. Summary Talk of the Krakow Workshop on Multiparticle Physics, May, 4-7, 1993. E-mail contact: pesch@amoco.saclay.cea.fr

  15. 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...

  16. Mining software specifications methodologies and applications

    CERN Document Server

    Lo, David

    2011-01-01

    An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified reference on the subject, Mining Software Specifications: Methodologies and Applications describes recent approaches for mining specifications of software systems. Experts in the field illustrate how to apply state-of-the-art data mining and machine learning techniques to address software engineering concerns. In the first set of chapters, the book introduces a number of studies on mining finite

  17. Mineral mining machines

    Energy Technology Data Exchange (ETDEWEB)

    Mc Gaw, B.H.

    1984-01-01

    A machine for mining minerals is patented. It is a cutter loader with a drum actuating element of the worm type equipped with a multitude of cutting teeth reinforced with tungsten carbide. A feature of the patented machine is that all of the cutting teeth and holders on the drum have the identical design. This is achieved through selecting a slant angle for the cutting teeth which is the mean between the slant angle of the conventional radial teeth and the slant angle of the advance teeth. This, in turn, is provided thanks to the corresponding slant of the holders relative to the drum and (or) the slant of the cutting part of the teeth relative to their stems. Thus, the advance teeth projecting beyond the surface of the drum on the face side and providing upper and lateral clearances have the same angle of attack as the radial teeth, that is, from 20 to 35 degrees. A series of modifications of the cutting teeth is patented. One of the designs allows the cutting tooth to occupy a varying position relative to the drum, from the conventional vertical to an inverted, axially projecting position. In the last case the tooth in the extraction process provides the upper and lateral clearances for the drum on the face side. Among the different modifications of the cutting teeth, a design is proposed which provides for the presence of a stem which is shaped like a truncated cone. This particular stem is designed for use jointly with a wedge which unfastens the teeth and is placed in a holder. The latter is completed in a transverse slot thanks to which the rear end of the stem is compressed, which simplifies replacement of a tooth. Channels are provided in the patented machine for feeding water to the worm spiral, the holders and the cutting teeth themselves in order to deal with dust.

  18. Advanced Machine learning Algorithm Application for Rotating Machine Health Monitoring

    Energy Technology Data Exchange (ETDEWEB)

    Kanemoto, Shigeru; Watanabe, Masaya [The University of Aizu, Aizuwakamatsu (Japan); Yusa, Noritaka [Tohoku University, Sendai (Japan)

    2014-08-15

    The present paper tries to evaluate the applicability of conventional sound analysis techniques and modern machine learning algorithms to rotating machine health monitoring. These techniques include support vector machine, deep leaning neural network, etc. The inner ring defect and misalignment anomaly sound data measured by a rotating machine mockup test facility are used to verify the above various kinds of algorithms. Although we cannot find remarkable difference of anomaly discrimination performance, some methods give us the very interesting eigen patterns corresponding to normal and abnormal states. These results will be useful for future more sensitive and robust anomaly monitoring technology.

  19. Interviewing and Writing: methodologies for words rooted in dancing

    Directory of Open Access Journals (Sweden)

    Cássia Navas Alves de Castro

    2015-09-01

    Full Text Available Based on case studies from a consolidated work in dance research, this article presents examples, description, context, propositions and discussion on dance interviews and dance writings, suggesting methodologies for questioning artists and specific procedures for writing about dance, such as the use of master-questions or stick-questions and alternate-writings or writings in between, in order to expand the debate on contemporary performing arts and their methods, in a contribution to the specificity of this field.

  20. Some epistemic questions of cosmology

    CERN Document Server

    Grujic, Petar V

    2007-01-01

    We discuss a number of fundamental aspects of modern cosmological concepts, from the phenomenological, observational, theoretical and epistemic points of view. We argue that the modern cosmology, despite a great advent, in particular in the observational sector, is yet to solve important problems, posed already by the classical times. In particular the stress is put on discerning the scientific features of modern cosmological paradigms from the more speculative ones, with the latter immersed in some aspects deeply into mythological world picture. We finally discuss the principal paradigms, which are present in the modern cosmological studies and evaluate their epistemic merits. KEY WORDS: cosmology, epistemology, methodology, mythology, philosophy of science

  1. Diamond Measuring Machine

    Energy Technology Data Exchange (ETDEWEB)

    Krstulic, J.F.

    2000-01-27

    The fundamental goal of this project was to develop additional capabilities to the diamond measuring prototype, work out technical difficulties associated with the original device, and perform automated measurements which are accurate and repeatable. For this project, FM and T was responsible for the overall system design, edge extraction, and defect extraction and identification. AccuGem provided a lab and computer equipment in Lawrence, 3D modeling, industry expertise, and sets of diamonds for testing. The system executive software which controls stone positioning, lighting, focusing, report generation, and data acquisition was written in Microsoft Visual Basic 6, while data analysis and modeling were compiled in C/C++ DLLs. All scanning parameters and extracted data are stored in a central database and available for automated analysis and reporting. The Phase 1 study showed that data can be extracted and measured from diamond scans, but most of the information had to be manually extracted. In this Phase 2 project, all data required for geometric modeling and defect identification were automatically extracted and passed to a 3D modeling module for analysis. Algorithms were developed which automatically adjusted both light levels and stone focus positioning for each diamond-under-test. After a diamond is analyzed and measurements are completed, a report is printed for the customer which shows carat weight, summarizes stone geometry information, lists defects and their size, displays a picture of the diamond, and shows a plot of defects on a top view drawing of the stone. Initial emphasis of defect extraction was on identification of feathers, pinpoints, and crystals. Defects were plotted color-coded by industry standards for inclusions (red), blemishes (green), and unknown defects (blue). Diamonds with a wide variety of cut quality, size, and number of defects were tested in the machine. Edge extraction, defect extraction, and modeling code were tested for

  2. Tribology in machine design

    CERN Document Server

    Stolarski, T A

    1990-01-01

    Tribology in Machine Design aims to promote a better appreciation of the increasingly important role played by tribology at the design stage in engineering. This book shows how algorithms developed from the basic principles of tribology can be used in a range of practical applications. The concept of tribodesign is introduced in Chapter 1. Chapter 2 is devoted to a brief discussion of the basic principles of tribology, including some concepts and models of lubricated wear and friction under complex kinematic conditions. Elements of contact mechanics, presented in Chapter 3, are confined to the

  3. Quantum adiabatic machine learning

    CERN Document Server

    Pudenz, Kristen L

    2011-01-01

    We develop an approach to machine learning and anomaly detection via quantum adiabatic evolution. In the training phase we identify an optimal set of weak classifiers, to form a single strong classifier. In the testing phase we adiabatically evolve one or more strong classifiers on a superposition of inputs in order to find certain anomalous elements in the classification space. Both the training and testing phases are executed via quantum adiabatic evolution. We apply and illustrate this approach in detail to the problem of software verification and validation.

  4. Daphne machine project

    Energy Technology Data Exchange (ETDEWEB)

    Vignola, G. and Daphne Project Team [Istituto Nazionale di Fisica Nucleare, Frascati (Italy)

    1996-07-01

    Daphne, a high luminosity e{sup +}/e{sup -} {Phi} factory, is presently under construction in Frascati. The beginning of the collider commissioning is scheduled by winter 1997, with a short term luminosity goal L=1.3 10{sup 32} cm{sup -2} sec{sup -1}. Daphne shall be the first of the new generation of very high luminosity colliders, called factories, to come in operation. Other factories under construction are PEP-II and KEK-B: first collision, for both machines, is planned for 1998.

  5. CENTRIFUGAL CASTING MACHINE

    Science.gov (United States)

    Shuck, A.B.

    1958-04-01

    A device is described that is specifically designed to cast uraniumn fuel rods in a vacuunn, in order to obtain flawless, nonoxidized castings which subsequently require a maximum of machining or wastage of the expensive processed material. A chamber surrounded with heating elements is connected to the molds, and the entire apparatus is housed in an airtight container. A charge of uranium is placed in the chamber, heated, then is allowed to flow into the molds While being rotated. Water circulating through passages in the molds chills the casting to form a fine grained fuel rod in nearly finished form.

  6. Electrical machines with Matlab

    CERN Document Server

    Gonen, Turan

    2011-01-01

    Basic ConceptsDistribution SystemImpact of Dispersed Storage and GenerationBrief Overview of Basic Electrical MachinesReal and Reactive Powers in Single-Phase AC CircuitsThree-Phase CircuitsThree-Phase SystemsUnbalanced Three-Phase LoadsMeasurement of Average Power in Three-Phase CircuitsPower Factor CorrectionMagnetic CircuitsMagnetic Field of Current-Carrying ConductorsAmpère's Magnetic Circuital LawMagnetic CircuitsMagnetic Circuit with Air GapBrief Review of FerromagnetismMagnetic Core LossesHow to Determine Flux for a Given MMFPermanent MagnetsTransformersTransformer ConstructionBrief Rev

  7. God in Question: Questioning as a Prerequisite for Theology

    Directory of Open Access Journals (Sweden)

    Martin Kočí

    2014-10-01

    Full Text Available There are questions that are so important that it is a pity to spoil them with answers. No doubt, the question of God is one of them. Contrary to many presuppositions, theology is not capable of providing us with the final answers in this respect. On the contrary, theology professed as fides quaerens intellectum is an ongoing struggle with questions. Modernity interrupted this paradigm of theological questioning. Theology was withdrawn from the realm of understanding and shifted to the realm of explanation. Modernity brought the univocalization of God. Nonetheless, the attempts to tackle the question of God lead to hegemonic narratives about God. Such narratives are rightly criticized in a postmodern context for their totalizing pretensions. The problem of postmodern criticism is its one-sided emphasis on the apophatic dimension of theological discourse. I propose that theology can go a step further beyond postmodernity. In order to do so, I deal with the Czech philosopher Jan Patočka, who provides an opportunity to rethink God from the perspective of questioning in a new way. Patočka’s insistence on problematicity is the main reading key of his work. In this line of though, I interpret Patočka’s student Tomáš Halík and his thesis about the necessity to take the metaphor of an unknown God into account. I argue that theology must avoid the temptation to remove God from the question and make a well-known God of him. The time has come for theologians to turn their answers back into questions and dwell with them. Bůh jako otázka: Tázání jako předpoklad teologie Některé otázky jsou tak důležité, že je škoda kazit je odpověďmi. Není pochyb, že otázka po Bohu je jednou z nich. Navzdory mnoha předpokladům, ani teologie není schopna poskytnout v tomto ohledu konečné odpovědi. Teologie pojatá jako fides quaerens intellectum je nepřetržitý nekončící zápas s otázkami. Moderna narušila toto paradigma teologick

  8. Questions concerning the nuclear wastes; Les dechets nucleaires en questions

    Energy Technology Data Exchange (ETDEWEB)

    Daures, Pierre [ed.] [Electricite de France (EDF), 75 - Paris (France)

    1998-07-01

    At present, 75% of the electricity in France is of nuclear origin. Most of French people approve this mode of energy production and agree upon the continuation of the electronuclear sector exploitation. However, as any industry, the nuclear industry produces wastes which constitute a keen preoccupation of the public opinion. The nuclear program, even at its very inception, has provided the appropriate mastering of radioactive wastes by reducing their volume, by conditioning, reprocessing and storing, expressing continually its carefulness for population protection as well as for environment defence against the radiological effects. Pursuing its policy of transparency the EDF demonstrated openness and understanding towards questions raised by anyone. This brochure gives answers to the following 17 questions: -what the nuclear wastes are, which is their origin? - what is their amount? - are the nuclear waste dangerous? - how to treat the nuclear wastes? - are the radioactive waste storage sure? - is the nuclear waste transportation sure? - are these solutions sure? - why searches for long-lived radioactive wastes? - what is transmutation? - shall we bequeath to the next generations our nuclear wastes? - are there particular problems in nuclear power plant decommissioning? - what the wastes issued from decommissioning become? - are the costs of reprocessing and decommissioning taken into account in the price of the kWh? - were the nuclear wastes taken into account since the nuclear program inception? - who manages the nuclear wastes? - why France accepted the reprocessing of nuclear wastes produced in foreign countries? - is there an international policy for nuclear wastes?.

  9. A Reflection on Teacher Questioning Types

    Directory of Open Access Journals (Sweden)

    Kasih Elisabeth Roostini

    2011-07-01

    Full Text Available Abstract This small-scale research is expected to serve as a reflective means for teachers so that they can explore their questioning types in their own classroom. It analyzed questioning types used by three teachers of general English classes. The questioning types were classified based on three dimensions—purpose, form, and function. The purpose-based questioning types, based on Long and Sato’s findings (1983, were classified into two: referential and display. The form-based questioning types, based on the classification of question types by Celce-Murcia and Larsen-Freeman (1999 and Biber et al. (1999, were classified into four major types: yes/no-questions, wh-questions, tag questions, and alternative questions. The function-based questioning types, based on Long and Sato’s findings (1983, were classified into three sub-types: comprehension checks, confirmation checks, and clarification requests.           The data, obtained from three recorded class meetings, were transcribed and analyzed to see what questioning types each teacher employed and to obtain the number and percentage distribution of questioning types each teacher used. The results showed that referential questions were more frequently used than display questions at higher levels. There were a substantial number of incomplete questions, a form-based questioning type that did not belong to the classification of form-based questioning types employed in this study. The predominant use of incomplete questions in a communicative classroom should be reviewed as this questioning type required accuracy, rather than promoting language practice. The third type, the function-based questioning types, did not occur frequently at all the three stages. This study suggests that teachers use incomplete questions less frequently and try to use other form-based questioning types. It also encourages teachers to reflect on their own teaching and pursue their professional development.

  10. Data Centric Development Methodology

    Science.gov (United States)

    Khoury, Fadi E.

    2012-01-01

    Data centric applications, an important effort of software development in large organizations, have been mostly adopting a software methodology, such as a waterfall or Rational Unified Process, as the framework for its development. These methodologies could work on structural, procedural, or object oriented based applications, but fails to capture…

  11. Creativity in phenomenological methodology

    DEFF Research Database (Denmark)

    Dreyer, Pia; Martinsen, Bente; Norlyk, Annelise

    2014-01-01

    on the methodologies of van Manen, Dahlberg, Lindseth & Norberg, the aim of this paper is to argue that the increased focus on creativity and arts in research methodology is valuable to gain a deeper insight into lived experiences. We illustrate this point through examples from empirical nursing studies, and discuss...

  12. The Methodology of Magpies

    Science.gov (United States)

    Carter, Susan

    2014-01-01

    Arts/Humanities researchers frequently do not explain methodology overtly; instead, they "perform" it through their use of language, textual and historic cross-reference, and theory. Here, methodologies from literary studies are shown to add to Higher Education (HE) an exegetical and critically pluralist approach. This includes…

  13. Menopause and Methodological Doubt

    Science.gov (United States)

    Spence, Sheila

    2005-01-01

    Menopause and methodological doubt begins by making a tongue-in-cheek comparison between Descartes' methodological doubt and the self-doubt that can arise around menopause. A hermeneutic approach is taken in which Cartesian dualism and its implications for the way women are viewed in society are examined, both through the experiences of women…

  14. The Methodology of Magpies

    Science.gov (United States)

    Carter, Susan

    2014-01-01

    Arts/Humanities researchers frequently do not explain methodology overtly; instead, they "perform" it through their use of language, textual and historic cross-reference, and theory. Here, methodologies from literary studies are shown to add to Higher Education (HE) an exegetical and critically pluralist approach. This includes…

  15. Menopause and Methodological Doubt

    Science.gov (United States)

    Spence, Sheila

    2005-01-01

    Menopause and methodological doubt begins by making a tongue-in-cheek comparison between Descartes' methodological doubt and the self-doubt that can arise around menopause. A hermeneutic approach is taken in which Cartesian dualism and its implications for the way women are viewed in society are examined, both through the experiences of women…

  16. Rapid Dialogue Prototyping Methodology

    NARCIS (Netherlands)

    Bui Huu Trung, B.H.T.; Sojka, P.; Rajman, M.; Kopecek, I.; Melichar, M.; Pala, K.

    2004-01-01

    This paper is about the automated production of dialogue models. The goal is to propose and validate a methodology that allows the production of finalized dialogue models (i.e. dialogue models specific for given applications) in a few hours. The solution we propose for such a methodology, called the

  17. Machining of Complex Sculptured Surfaces

    CERN Document Server

    2012-01-01

    The machining of complex sculptured surfaces is a global technological topic in modern manufacturing with relevance in both industrialized and emerging in countries particularly within the moulds and dies sector whose applications include highly technological industries such as the automotive and aircraft industry. Machining of Complex Sculptured Surfaces considers new approaches to the manufacture of moulds and dies within these industries. The traditional technology employed in the manufacture of moulds and dies combined conventional milling and electro-discharge machining (EDM) but this has been replaced with  high-speed milling (HSM) which has been applied in roughing, semi-finishing and finishing of moulds and dies with great success. Machining of Complex Sculptured Surfaces provides recent information on machining of complex sculptured surfaces including modern CAM systems and process planning for three and five axis machining as well as explanations of the advantages of HSM over traditional methods ra...

  18. Learning thermodynamics with Boltzmann machines

    Science.gov (United States)

    Torlai, Giacomo; Melko, Roger G.

    2016-10-01

    A Boltzmann machine is a stochastic neural network that has been extensively used in the layers of deep architectures for modern machine learning applications. In this paper, we develop a Boltzmann machine that is capable of modeling thermodynamic observables for physical systems in thermal equilibrium. Through unsupervised learning, we train the Boltzmann machine on data sets constructed with spin configurations importance sampled from the partition function of an Ising Hamiltonian at different temperatures using Monte Carlo (MC) methods. The trained Boltzmann machine is then used to generate spin states, for which we compare thermodynamic observables to those computed by direct MC sampling. We demonstrate that the Boltzmann machine can faithfully reproduce the observables of the physical system. Further, we observe that the number of neurons required to obtain accurate results increases as the system is brought close to criticality.

  19. Engineering aesthetics and aesthetic ergonomics: theoretical foundations and a dual-process research methodology.

    Science.gov (United States)

    Liu, Yili

    Although industrial and product designers are keenly aware of the importance of design aesthetics, they make aesthetic design decisions largely on the basis of their intuitive judgments and "educated guesses". Whilst ergonomics and human factors researchers have made great contributions to the safety, productivity, ease-of-use, and comfort of human-machine-environment systems, aesthetics is largely ignored as a topic of systematic scientific research in human factors and ergonomics. This article discusses the need for incorporating the aesthetics dimension in ergonomics and proposes the establishment of a new scientific and engineering discipline that we can call "engineering aesthetics". This discipline addresses two major questions: How do we use engineering and scientific methods to study aesthetics concepts in general and design aesthetics in particular? How do we incorporate engineering and scientific methods in the aesthetic design and evaluation process? This article identifies two special features that distinguish aesthetic appraisal of products and system designs from aesthetic appreciation of art, and lays out a theoretical foundation as well as a dual-process research methodology for "engineering aesthetics". Sample applications of this methodology are also described.

  20. Machine learning with R cookbook

    CERN Document Server

    Chiu, Yu-Wei

    2015-01-01

    If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless of your level of experience, this book covers the basics of applying R to machine learning through to advanced techniques. While it is helpful if you are familiar with basic programming or machine learning concepts, you do not require prior experience to benefit from this book.