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Sample records for auto regressive integrated

  1. Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling

    International Nuclear Information System (INIS)

    In this paper, we present the use of different mathematical models to forecast electricity price under deregulated power. A successful prediction tool of electricity price can help both power producers and consumers plan their bidding strategies. Inspired by that the support vector regression (SVR) model, with the ε-insensitive loss function, admits of the residual within the boundary values of ε-tube, we propose a hybrid model that combines both SVR and Auto-regressive integrated moving average (ARIMA) models to take advantage of the unique strength of SVR and ARIMA models in nonlinear and linear modeling, which is called SVRARIMA. A nonlinear analysis of the time-series indicates the convenience of nonlinear modeling, the SVR is applied to capture the nonlinear patterns. ARIMA models have been successfully applied in solving the residuals regression estimation problems. The experimental results demonstrate that the model proposed outperforms the existing neural-network approaches, the traditional ARIMA models and other hybrid models based on the root mean square error and mean absolute percentage error.

  2. Towards damage detection using blind source separation integrated with time-varying auto-regressive modeling

    Science.gov (United States)

    Musafere, F.; Sadhu, A.; Liu, K.

    2016-01-01

    In the last few decades, structural health monitoring (SHM) has been an indispensable subject in the field of vibration engineering. With the aid of modern sensing technology, SHM has garnered significant attention towards diagnosis and risk management of large-scale civil structures and mechanical systems. In SHM, system identification is one of major building blocks through which unknown system parameters are extracted from vibration data of the structures. Such system information is then utilized to detect the damage instant, and its severity to rehabilitate and prolong the existing health of the structures. In recent years, blind source separation (BSS) algorithm has become one of the newly emerging advanced signal processing techniques for output-only system identification of civil structures. In this paper, a novel damage detection technique is proposed by integrating BSS with the time-varying auto-regressive modeling to identify the instant and severity of damage. The proposed method is validated using a suite of numerical studies and experimental models followed by a full-scale structure.

  3. Prediction of Zoonosis Incidence in Human using Seasonal Auto Regressive Integrated Moving Average (SARIMA)

    OpenAIRE

    Permanasari, Adhistya Erna; Rambli, Dayang Rohaya Awang; Dominic, Dhanapal Durai

    2009-01-01

    Zoonosis refers to the transmission of infectious diseases from animal to human. The increasing number of zoonosis incidence makes the great losses to lives, including humans and animals, and also the impact in social economic. It motivates development of a system that can predict the future number of zoonosis occurrences in human. This paper analyses and presents the use of Seasonal Autoregressive Integrated Moving Average (SARIMA) method for developing a forecasting model that able to suppo...

  4. Prediction of Zoonosis Incidence in Human using Seasonal Auto Regressive Integrated Moving Average (SARIMA)

    CERN Document Server

    Permanasari, Adhistya Erna; Dominic, Dhanapal Durai

    2009-01-01

    Zoonosis refers to the transmission of infectious diseases from animal to human. The increasing number of zoonosis incidence makes the great losses to lives, including humans and animals, and also the impact in social economic. It motivates development of a system that can predict the future number of zoonosis occurrences in human. This paper analyses and presents the use of Seasonal Autoregressive Integrated Moving Average (SARIMA) method for developing a forecasting model that able to support and provide prediction number of zoonosis human incidence. The dataset for model development was collected on a time series data of human tuberculosis occurrences in United States which comprises of fourteen years of monthly data obtained from a study published by Centers for Disease Control and Prevention (CDC). Several trial models of SARIMA were compared to obtain the most appropriate model. Then, diagnostic tests were used to determine model validity. The result showed that the SARIMA(9,0,14)(12,1,24)12 is the fitt...

  5. The Prediction of Exchange Rates with the Use of Auto-Regressive Integrated Moving-Average Models

    Directory of Open Access Journals (Sweden)

    Daniela Spiesová

    2014-10-01

    Full Text Available Currency market is recently the largest world market during the existence of which there have been many theories regarding the prediction of the development of exchange rates based on macroeconomic, microeconomic, statistic and other models. The aim of this paper is to identify the adequate model for the prediction of non-stationary time series of exchange rates and then use this model to predict the trend of the development of European currencies against Euro. The uniqueness of this paper is in the fact that there are many expert studies dealing with the prediction of the currency pairs rates of the American dollar with other currency but there is only a limited number of scientific studies concerned with the long-term prediction of European currencies with the help of the integrated ARMA models even though the development of exchange rates has a crucial impact on all levels of economy and its prediction is an important indicator for individual countries, banks, companies and businessmen as well as for investors. The results of this study confirm that to predict the conditional variance and then to estimate the future values of exchange rates, it is adequate to use the ARIMA (1,1,1 model without constant, or ARIMA [(1,7,1,(1,7] model, where in the long-term, the square root of the conditional variance inclines towards stable value.

  6. Kepler AutoRegressive Planet Search

    Science.gov (United States)

    Caceres, Gabriel Antonio; Feigelson, Eric

    2016-01-01

    The Kepler AutoRegressive Planet Search (KARPS) project uses statistical methodology associated with autoregressive (AR) processes to model Kepler lightcurves in order to improve exoplanet transit detection in systems with high stellar variability. We also introduce a planet-search algorithm to detect transits in time-series residuals after application of the AR models. One of the main obstacles in detecting faint planetary transits is the intrinsic stellar variability of the host star. The variability displayed by many stars may have autoregressive properties, wherein later flux values are correlated with previous ones in some manner. Our analysis procedure consisting of three steps: pre-processing of the data to remove discontinuities, gaps and outliers; AR-type model selection and fitting; and transit signal search of the residuals using a new Transit Comb Filter (TCF) that replaces traditional box-finding algorithms. The analysis procedures of the project are applied to a portion of the publicly available Kepler light curve data for the full 4-year mission duration. Tests of the methods have been made on a subset of Kepler Objects of Interest (KOI) systems, classified both as planetary `candidates' and `false positives' by the Kepler Team, as well as a random sample of unclassified systems. We find that the ARMA-type modeling successfully reduces the stellar variability, by a factor of 10 or more in active stars and by smaller factors in more quiescent stars. A typical quiescent Kepler star has an interquartile range (IQR) of ~10 e-/sec, which may improve slightly after modeling, while those with IQR ranging from 20 to 50 e-/sec, have improvements from 20% up to 70%. High activity stars (IQR exceeding 100) markedly improve. A periodogram based on the TCF is constructed to concentrate the signal of these periodic spikes. When a periodic transit is found, the model is displayed on a standard period-folded averaged light curve. Our findings to date on real

  7. CICAAR - Convolutive ICA with an Auto-Regressive Inverse Model

    DEFF Research Database (Denmark)

    Dyrholm, Mads; Hansen, Lars Kai

    2004-01-01

    We invoke an auto-regressive IIR inverse model for convolutive ICA and derive expressions for the likelihood and its gradient. We argue that optimization will give a stable inverse. When there are more sensors than sources the mixing model parameters are estimated in a second step by least square...... estimation. We demonstrate the method on synthetic data and finally separate speech and music in a real room recording....

  8. CICAAR - Convolutive ICA with an Auto-Regressive Inverse Model

    OpenAIRE

    Dyrholm, Mads; Hansen, Lars Kai

    2004-01-01

    We invoke an auto-regressive IIR inverse model for convolutive ICA and derive expressions for the likelihood and its gradient. We argue that optimization will give a stable inverse. When there are more sensors than sources the mixing model parameters are estimated in a second step by least squares estimation. We demonstrate the method on synthetic data and finally separate speech and music in a real room recording.

  9. Kepler AutoRegressive Planet Search: Motivation & Methodology

    Science.gov (United States)

    Caceres, Gabriel; Feigelson, Eric; Jogesh Babu, G.; Bahamonde, Natalia; Bertin, Karine; Christen, Alejandra; Curé, Michel; Meza, Cristian

    2015-08-01

    The Kepler AutoRegressive Planet Search (KARPS) project uses statistical methodology associated with autoregressive (AR) processes to model Kepler lightcurves in order to improve exoplanet transit detection in systems with high stellar variability. We also introduce a planet-search algorithm to detect transits in time-series residuals after application of the AR models. One of the main obstacles in detecting faint planetary transits is the intrinsic stellar variability of the host star. The variability displayed by many stars may have autoregressive properties, wherein later flux values are correlated with previous ones in some manner. Auto-Regressive Moving-Average (ARMA) models, Generalized Auto-Regressive Conditional Heteroskedasticity (GARCH), and related models are flexible, phenomenological methods used with great success to model stochastic temporal behaviors in many fields of study, particularly econometrics. Powerful statistical methods are implemented in the public statistical software environment R and its many packages. Modeling involves maximum likelihood fitting, model selection, and residual analysis. These techniques provide a useful framework to model stellar variability and are used in KARPS with the objective of reducing stellar noise to enhance opportunities to find as-yet-undiscovered planets. Our analysis procedure consisting of three steps: pre-processing of the data to remove discontinuities, gaps and outliers; ARMA-type model selection and fitting; and transit signal search of the residuals using a new Transit Comb Filter (TCF) that replaces traditional box-finding algorithms. We apply the procedures to simulated Kepler-like time series with known stellar and planetary signals to evaluate the effectiveness of the KARPS procedures. The ARMA-type modeling is effective at reducing stellar noise, but also reduces and transforms the transit signal into ingress/egress spikes. A periodogram based on the TCF is constructed to concentrate the signal

  10. Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting

    Directory of Open Access Journals (Sweden)

    Hong-Juan Li

    2013-04-01

    Full Text Available Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support vector regression (SVR, this paper presents a SVR model hybridized with the empirical mode decomposition (EMD method and auto regression (AR for electric load forecasting. The electric load data of the New South Wales (Australia market are employed for comparing the forecasting performances of different forecasting models. The results confirm the validity of the idea that the proposed model can simultaneously provide forecasting with good accuracy and interpretability.

  11. Drought Patterns Forecasting using an Auto-Regressive Logistic Model

    Science.gov (United States)

    del Jesus, M.; Sheffield, J.; Méndez Incera, F. J.; Losada, I. J.; Espejo, A.

    2014-12-01

    Drought is characterized by a water deficit that may manifest across a large range of spatial and temporal scales. Drought may create important socio-economic consequences, many times of catastrophic dimensions. A quantifiable definition of drought is elusive because depending on its impacts, consequences and generation mechanism, different water deficit periods may be identified as a drought by virtue of some definitions but not by others. Droughts are linked to the water cycle and, although a climate change signal may not have emerged yet, they are also intimately linked to climate.In this work we develop an auto-regressive logistic model for drought prediction at different temporal scales that makes use of a spatially explicit framework. Our model allows to include covariates, continuous or categorical, to improve the performance of the auto-regressive component.Our approach makes use of dimensionality reduction (principal component analysis) and classification techniques (K-Means and maximum dissimilarity) to simplify the representation of complex climatic patterns, such as sea surface temperature (SST) and sea level pressure (SLP), while including information on their spatial structure, i.e. considering their spatial patterns. This procedure allows us to include in the analysis multivariate representation of complex climatic phenomena, as the El Niño-Southern Oscillation. We also explore the impact of other climate-related variables such as sun spots. The model allows to quantify the uncertainty of the forecasts and can be easily adapted to make predictions under future climatic scenarios. The framework herein presented may be extended to other applications such as flash flood analysis, or risk assessment of natural hazards.

  12. Steganalysis of LSB Image Steganography using Multiple Regression and Auto Regressive (AR Model

    Directory of Open Access Journals (Sweden)

    Souvik Bhattacharyya

    2011-07-01

    Full Text Available The staggering growth in communication technologyand usage of public domain channels (i.e. Internet has greatly facilitated transfer of data. However, such open communication channelshave greater vulnerability to security threats causing unauthorizedin- formation access. Traditionally, encryption is used to realizethen communication security. However, important information is notprotected once decoded. Steganography is the art and science of communicating in a way which hides the existence of the communication.Important information is firstly hidden in a host data, such as digitalimage, text, video or audio, etc, and then transmitted secretly tothe receiver. Steganalysis is another important topic in informationhiding which is the art of detecting the presence of steganography. Inthis paper a novel technique for the steganalysis of Image has beenpresented. The proposed technique uses an auto-regressive model todetect the presence of the hidden messages, as well as to estimatethe relative length of the embedded messages.Various auto regressiveparameters are used to classify cover image as well as stego imagewith the help of a SVM classifier. Multiple Regression analysis ofthe cover carrier along with the stego carrier has been carried outin order to find out the existence of the negligible amount of thesecret message. Experimental results demonstrate the effectivenessand accuracy of the proposed technique.

  13. Kepler AutoRegressive Planet Search: Initial Results

    Science.gov (United States)

    Caceres, Gabriel; Feigelson, Eric; Jogesh Babu, G.; Bahamonde, Natalia; Bertin, Karine; Christen, Alejandra; Curé, Michel; Meza, Cristian

    2015-08-01

    The statistical analysis procedures of the Kepler AutoRegressive Planet Search (KARPS) project are applied to a portion of the publicly available Kepler light curve data for the full 4-year mission duration. Tests of the methods have been made on a subset of Kepler Objects of Interest (KOI) systems, classified both as planetary `candidates' and `false positives' by the Kepler Team, as well as a random sample of unclassified systems. We find that the ARMA-type modeling successfully reduces the stellar variability, by a factor of 10 or more in active stars and by smaller factors in more quiescent stars. A typical quiescent Kepler star has an interquartile range (IQR) of ~10 e-/sec, which may improve slightly after modeling, while those with IQR ranging from 20 to 50 e-/sec, have improvements from 20% up to 70%. High activity stars (IQR exceeding 100) markedly improve, but visual inspection of the residual series shows that significant deviations from Gaussianity remain for many of them. Although the reduction in stellar signal is encouraging, it is important to note that the transit signal is also altered in the resulting residual time series. The periodogram derived from our Transit Comb Filter (TCF) is most effective for shorter period planets with quick ingress/egress times (relative to Kepler's 29-minute sample rate). We do not expect high sensitivity to periods of hundreds of days. Our findings to date on real-data tests of the KARPS methodology will be discussed including confirmation of some Kepler Team `candidate' planets, no confirmation of some `candidate' and `false positive' sytems, and suggestions of mischosen harmonics in the Kepler Team periodograms. We also present cases of new possible planetary signals.

  14. Blind identification of threshold auto-regressive model for machine fault diagnosis

    Institute of Scientific and Technical Information of China (English)

    LI Zhinong; HE Yongyong; CHU Fulei; WU Zhaotong

    2007-01-01

    A blind identification method was developed for the threshold auto-regressive (TAR) model. The method had good identification accuracy and rapid convergence, especially for higher order systems. The proposed method was then combined with the hidden Markov model (HMM) to determine the auto-regressive (AR) coefficients for each interval used for feature extraction, with the HMM as a classifier. The fault diagnoses during the speed-up and speed- down processes for rotating machinery have been success- fully completed. The result of the experiment shows that the proposed method is practical and effective.

  15. Settlement Prediction for Buildings Surrounding Foundation Pits Based on a Stationary Auto-regression Model

    Institute of Scientific and Technical Information of China (English)

    TIAN Lin-ya; HUA Xi-sheng

    2007-01-01

    To ensure the safety of buildings surrounding foundation pits, a study was made on a settlement monitoring and trend prediction method. A statistical testing method for analyzing the stability of a settlement monitoring datum has been discussed. According to a comprehensive survey, data of 16 stages at operating control point, were verified by a standard t test to determine the stability of the operating control point. A stationary auto-regression model, AR(p), used for the observation point settlement prediction has been investigated. Given the 16 stages of the settlement data at an observation point, the applicability of this model was analyzed. Settlement of last four stages was predicted using the stationary auto-regression model AR (1); the maximum difference between predicted and measured values was 0.6 mm,indicating good prediction results of the model. Hence, this model can be applied to settlement predictions for buildings surrounding foundation pits.

  16. Predicting heartbeat arrival time for failure detection over internet using auto-regressive exogenous model

    Institute of Scientific and Technical Information of China (English)

    Zhao Haijun; Ma Yan; Huang Xiaohong; Su Yujie

    2008-01-01

    Predicting heartbeat message arrival time is crucial for the quality of failure detection service over internet. However, internet dynamic characteristics make it very difficult to understand message behavior and accurately predict heartbeat arrival time. To solve this problem, a novel black-box model is proposed to predict the next heartbeat arrival time. Heartbeat arrival time is modeled as auto-regressive process, heartbeat sending time is modeled as exogenous variable, the model's coefficients are estimated based on the sliding window of observations and this result is used to predict the next heartbeat arrival time. Simulation shows that this adaptive auto-regressive exogenous (ARX) model can accurately capture heartbeat arrival dynamics and minimize prediction error in different network environments.

  17. Probing turbulence intermittency via Auto-Regressive Moving-Average models

    CERN Document Server

    Faranda, Davide; Dubrulle, Berengere; Daviaud, Francois

    2014-01-01

    We suggest a new approach to probing intermittency corrections to the Kolmogorov law in turbulent flows based on the Auto-Regressive Moving-Average modeling of turbulent time series. We introduce a new index $\\Upsilon$ that measures the distance from a Kolmogorov-Obukhov model in the Auto-Regressive Moving-Average models space. Applying our analysis to Particle Image Velocimetry and Laser Doppler Velocimetry measurements in a von K\\'arm\\'an swirling flow, we show that $\\Upsilon$ is proportional to the traditional intermittency correction computed from the structure function. Therefore it provides the same information, using much shorter time series. We conclude that $\\Upsilon$ is a suitable index to reconstruct the spatial intermittency of the dissipation in both numerical and experimental turbulent fields.

  18. A DEOXYRIBONUCLEIC ACID COMPRESSION ALGORITHM USING AUTO-REGRESSION AND SWARM INTELLIGENCE

    Directory of Open Access Journals (Sweden)

    Walid Aly

    2013-01-01

    Full Text Available DNA compression challenge has become a major task for many researchers as a result of exponential increase of produced DNA sequences in gene databases; in this research we attempt to solve the DNA compression challenge by developing a lossless compression algorithm. The proposed algorithm works in horizontal mode using a substitutional-statistical technique which is based on Auto Regression modeling (AR, the model parameters are determined using Particle Swarm Optimization (PSO. This algorithm is called Swarm Auto-Regression DNA Compression (SARDNAComp. SARDNAComp aims to reach higher compression ratio which make its application beneficial for both practical and functional aspects due to reduction of storage, retrieval, transmission costs and inferring structure and function of sequences from compression, SARDNAComp is tested on eleven benchmark DNA sequences and compared to current algorithms of DNA compression, the results showed that (SARDNAComp outperform these algorithms.

  19. Time-varying parameter auto-regressive models for autocovariance nonstationary time series

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    In this paper, autocovariance nonstationary time series is clearly defined on a family of time series. We propose three types of TVPAR (time-varying parameter auto-regressive) models: the full order TVPAR model, the time-unvarying order TVPAR model and the time-varying order TV-PAR model for autocovariance nonstationary time series. Related minimum AIC (Akaike information criterion) estimations are carried out.

  20. Time-varying parameter auto-regressive models for autocovariance nonstationary time series

    Institute of Scientific and Technical Information of China (English)

    FEI WanChun; BAI Lun

    2009-01-01

    In this paper,autocovariance nonstationary time series is clearly defined on a family of time series.We propose three types of TVPAR (time-varying parameter auto-regressive) models:the full order TVPAR model,the time-unvarying order TVPAR model and the time-varying order TVPAR model for autocovariance nonstationary time series.Related minimum AIC (Akaike information criterion) estimations are carried out.

  1. Principal Component based Auto-Associative Support Vector Regression for Signal Validation in Nuclear Power Plants

    International Nuclear Information System (INIS)

    For the past two decades, the nuclear industry has attempted to move towards condition-based maintenance philosophies using new technologies developed to ascertain the condition of plant equipment during operation. From the early 1980's the application of artificial intelligence techniques to nuclear power plants were investigated for instrument condition monitoring. The Multivariate State Estimation System (MSET) was developed in the late 1980s. And the Plant Evaluation and Analysis by Neural Operators (PEANO) was developed; it uses auto associative neural networks (AANN) and applies them to the monitoring of nuclear power plant sensors. In this paper, a method that utilizes the attractive merits of principal component analysis (PCA) for extracting predominant feature vectors and Auto- Associative support vector regression (AASVR) for databased statistical learning is proposed for the on-line monitoring and signal validation with the use of real plant data

  2. An Integration of Math with Auto Technician Courses

    Science.gov (United States)

    Valenzuela, Hector

    2012-01-01

    This article describes the development of the contextualized math, the course design, student teaching and daily interaction with the students, and the implementation aspects of the research project designed to develop contextualized mathematics and integrate it into the Auto Technician courses. The applied math curriculum was integrated into…

  3. Statistical early-warning indicators based on Auto-Regressive Moving-Average processes

    CERN Document Server

    Faranda, Davide; Dubrulle, Bérengère

    2014-01-01

    We address the problem of defining early warning indicators of critical transition. To this purpose, we fit the relevant time series through a class of linear models, known as Auto-Regressive Moving-Average (ARMA(p,q)) models. We define two indicators representing the total order and the total persistence of the process, linked, respectively, to the shape and to the characteristic decay time of the autocorrelation function of the process. We successfully test the method to detect transitions in a Langevin model and a 2D Ising model with nearest-neighbour interaction. We then apply the method to complex systems, namely for dynamo thresholds and financial crisis detection.

  4. Linking Simple Economic Theory Models and the Cointegrated Vector AutoRegressive Model

    DEFF Research Database (Denmark)

    Møller, Niels Framroze

    This paper attempts to clarify the connection between simple economic theory models and the approach of the Cointegrated Vector-Auto-Regressive model (CVAR). By considering (stylized) examples of simple static equilibrium models, it is illustrated in detail, how the theoretical model and its stru....... Further fundamental extensions and advances to more sophisticated theory models, such as those related to dynamics and expectations (in the structural relations) are left for future papers......This paper attempts to clarify the connection between simple economic theory models and the approach of the Cointegrated Vector-Auto-Regressive model (CVAR). By considering (stylized) examples of simple static equilibrium models, it is illustrated in detail, how the theoretical model and its...... demonstrated how other controversial hypotheses such as Rational Expectations can be formulated directly as restrictions on the CVAR-parameters. A simple example of a "Neoclassical synthetic" AS-AD model is also formulated. Finally, the partial- general equilibrium distinction is related to the CVAR as well...

  5. AUTO

    DEFF Research Database (Denmark)

    Gammelgaard Nielsen, Anders; Aagaard, Tine; Diaz, pauline;

    2011-01-01

    AUTO is the first assignment that the students of Architecture are introduced to at the Aarhus school of Architecture. The aim is to give students an understanding of design through a generic working method. This by disassembling a car engine and staging its components through a series of castings...

  6. Modelling and analysis of turbulent datasets using Auto Regressive Moving Average processes

    International Nuclear Information System (INIS)

    We introduce a novel way to extract information from turbulent datasets by applying an Auto Regressive Moving Average (ARMA) statistical analysis. Such analysis goes well beyond the analysis of the mean flow and of the fluctuations and links the behavior of the recorded time series to a discrete version of a stochastic differential equation which is able to describe the correlation structure in the dataset. We introduce a new index Υ that measures the difference between the resulting analysis and the Obukhov model of turbulence, the simplest stochastic model reproducing both Richardson law and the Kolmogorov spectrum. We test the method on datasets measured in a von Kármán swirling flow experiment. We found that the ARMA analysis is well correlated with spatial structures of the flow, and can discriminate between two different flows with comparable mean velocities, obtained by changing the forcing. Moreover, we show that the Υ is highest in regions where shear layer vortices are present, thereby establishing a link between deviations from the Kolmogorov model and coherent structures. These deviations are consistent with the ones observed by computing the Hurst exponents for the same time series. We show that some salient features of the analysis are preserved when considering global instead of local observables. Finally, we analyze flow configurations with multistability features where the ARMA technique is efficient in discriminating different stability branches of the system

  7. An evaluation of an operating BWR piping system damping during earthquake by applying auto regressive analysis

    International Nuclear Information System (INIS)

    The observation of the equipment and piping system installed in an operating nuclear power plant in earthquakes is very umportant for evaluating and confirming the adequacy and the safety margin expected in the design stage. By analyzing observed earthquake records, it can be expected to get the valuable data concerning the behavior of those in earthquakes, and extract the information about the aseismatic design parameters for those systems. From these viewpoints, an earthquake observation system was installed in a reactor building in an operating plant. Up to now, the records of three earthquakes were obtained with this system. In this paper, an example of the analysis of earthquake records is shown, and the main purpose of the analysis was the evaluation of the vibration mode, natural frequency and damping factor of this piping system. Prior to the earthquake record analysis, the eigenvalue analysis for this piping system was performed. Auto-regressive analysis was applied to the observed acceleration time history which was obtained with a piping system installed in an operating BWR. The results of earthquake record analysis agreed well with the results of eigenvalue analysis. (Kako, I.)

  8. Day-ahead prediction using time series partitioning with Auto-Regressive model

    Directory of Open Access Journals (Sweden)

    Dennis Cheruiyot Kiplangat

    2016-08-01

    Full Text Available Wind speed forecasting has received a lot of attention in the recent past from researchers due to its enormous benefits in the generation of wind power and distribution. The biggest challenge still remains to be accurate prediction of wind speeds for efficient operation of a wind farm. Wind speed forecasts can be greatly improved by understanding its underlying dynamics. In this paper, we propose a method of time series partitioning where the original 10 minutes wind speed data is converted into a twodimensional array of order (N x 144 where N denotes the number of days with 144 the daily 10-min observations. Upon successful time series partitioning, a point forecast is computed for each of the 144 datasets extracted from the 10 minutes wind speed observations using an Auto-Regressive (AR process which is then combined together to give the (N+1st day forecast. The results of the computations show significant improvement in the prediction accuracy when AR model is coupled with time series partitioning.

  9. SURFACE INTEGRITY EVALUATION OF TURNING WITH AUTO-ROTATING TOOL

    Directory of Open Access Journals (Sweden)

    Jozef Struharnansky

    2016-09-01

    Full Text Available The technical practice requirements comes to have increased demands on higher productivity, speed and quality of the machining process of various materials. Hard to machine materials, whose machining led to the development of turning with rotating cutting edge are not an exception. The machining process of auto-rotating tool is more complicated than the conventional process of turning, especially for the process of reshaping cutting layers into chips. There is a significant load in the system, that may affect the life of the cutting edge of the tool as well as the whole system and also in the final extent of the qualitative parameters of the workpiece (product / product. The article specifies the knowledge and findings of measurement in machining material 100Cr6 with an auto-rotating tool. The measurements were conducted to evaluate the integrity of the surface (roughness of the workpiece to the impacts of cutting conditions, in particular the feed and the cutting edge inclination. It also analyzes the presence (size, character, action of residual stresses concentrated in the surface layers of the workpiece by changing the cutting conditions.

  10. Efficient Blind System Identification of Non-Gaussian Auto-Regressive Models with HMM Modeling of the Excitation

    DEFF Research Database (Denmark)

    Li, Chunjian; Andersen, Søren Vang

    2007-01-01

    We propose two blind system identification methods that exploit the underlying dynamics of non-Gaussian signals. The two signal models to be identified are: an Auto-Regressive (AR) model driven by a discrete-state Hidden Markov process, and the same model whose output is perturbed by white Gaussian...... iterative schemes. The proposed methods also enjoy good data efficiency since only second order statistics is involved in the computation. When measurement noise is present, a novel Switching Kalman Smoother is incorporated into the EM algorithm, obtaining optimum nonlinear MMSE estimates of the system...

  11. A combined multiple regression-time series approach to process capability analysis when data are auto correlated

    International Nuclear Information System (INIS)

    The problem of performing process capability analysis when auto correlations are present is discussed. It is shown that when the systematic nonrandom phenomenon induced by autocorrelation is ignored the variance estimate obtained from the original data is no longer an appropriate estimate for use in the process capability analyses. A remedial measure based on an autoregressive integrated moving average model is proposed. It is also shown that the process variance estimated from the residual analysis yields appropriate results for the process capability indices

  12. Auto-regression and step response methods for noise diagnosis to increase safety in Nuclear Power Plants

    International Nuclear Information System (INIS)

    In the present paper the step response methods for system time constant is described, revealing the connections between auto-regression coefficients and transient functions for a given system. The general calculational results obtained through this method this method (ARSTEP algorithm) for thermocouple, ionization chambers, and self powered detectors used in Nuclear Power Plant are given. The typical transfer function for there detectors and for the physical system described by means of the third order differential equation as well as transfer function for dynamical processes of reactor core is found. On these bases, and with the aim to made it useful also for the neutronic al sensors, a new algorithm for improving the ARSTEP code system is proposed

  13. Robust signal reconstruction for condition monitoring of industrial components via a modified Auto Associative Kernel Regression method

    Science.gov (United States)

    Baraldi, Piero; Di Maio, Francesco; Turati, Pietro; Zio, Enrico

    2015-08-01

    In this work, we propose a modification of the traditional Auto Associative Kernel Regression (AAKR) method which enhances the signal reconstruction robustness, i.e., the capability of reconstructing abnormal signals to the values expected in normal conditions. The modification is based on the definition of a new procedure for the computation of the similarity between the present measurements and the historical patterns used to perform the signal reconstructions. The underlying conjecture for this is that malfunctions causing variations of a small number of signals are more frequent than those causing variations of a large number of signals. The proposed method has been applied to real normal condition data collected in an industrial plant for energy production. Its performance has been verified considering synthetic and real malfunctioning. The obtained results show an improvement in the early detection of abnormal conditions and the correct identification of the signals responsible of triggering the detection.

  14. Downscaling stream flow time series from monthly to daily scales using an auto-regressive stochastic algorithm: StreamFARM

    Science.gov (United States)

    Rebora, N.; Silvestro, F.; Rudari, R.; Herold, C.; Ferraris, L.

    2016-06-01

    Downscaling methods are used to derive stream flow at a high temporal resolution from a data series that has a coarser time resolution. These algorithms are useful for many applications, such as water management and statistical analysis, because in many cases stream flow time series are available with coarse temporal steps (monthly), especially when considering historical data; however, in many cases, data that have a finer temporal resolution are needed (daily). In this study, we considered a simple but efficient stochastic auto-regressive model that is able to downscale the available stream flow data from monthly to daily time resolution and applied it to a large dataset that covered the entire North and Central American continent. Basins with different drainage areas and different hydro-climatic characteristics were considered, and the results show the general good ability of the analysed model to downscale monthly stream flows to daily stream flows, especially regarding the reproduction of the annual maxima. If the performance in terms of the reproduction of hydrographs and duration curves is considered, better results are obtained for those cases in which the hydrologic regime is such that the annual maxima stream flow show low or medium variability, which means that they have a low or medium coefficient of variation; however, when the variability increases, the performance of the model decreases.

  15. Time-frequency characterization of rail corrugation under a combined auto-regressive and matched filter scheme

    Science.gov (United States)

    Hory, C.; Bouillaut, L.; Aknin, P.

    2012-05-01

    Rail corrugation is an oscillatory mechanical wear of rail surface raising from the long-term interaction between rail and wheel. Signal processing approaches to corrugation monitoring, as recommended by the European standards for instance, are designed either in the mileage domain or in the wavelength domain. However a joint mileage and wavelength domain analysis of the monitoring data can provide crucial information about the simultaneous amplitude and wavelength modulations of the corrugation modes. It is proposed in this paper to perform such a mileage-wavelength domain analysis of rail corrugation using the class of Auto-Regressive-MAtched Filterbank (AR-MAFI) methods. We show that these methods assume a statistical model that fits the corrugation data. We discuss also the optimal parameter settings for the analysis of corrugation data. Experimental studies performed on data collected from the French RATP metro network show that the AR-MAFI methods outperform (in terms of readability and accuracy) the standard distance domain or wavelength domain methods in localizing and characterizing corrugation.

  16. Forecasting River Flow in the USA: A Comparison between Auto-Regression and Neural Network Non-Parametric Models

    Directory of Open Access Journals (Sweden)

    Abdel K.M. Baareh

    2006-01-01

    Full Text Available Forecasting a time series became one of the most challenging tasks to variety of data sets. The existence of large number of parameters to be estimated and the effect of uncertainty and outliers in the measurements makes the time series modeling too complicated. Recently, Artificial Neural Network (ANN became quite successful tool to handle time series modeling problem. This paper provides a solution to the forecasting problem of the river flow for two well known Rivers in the USA. They are the Black Water River and the Gila River. The selected ANN models were used to train and forecast the daily flows of the first station no: 02047500, for the Black Water River near Dendron in Virginia and the second station no: 0944200 for the Gila River near Clifton in Arizona. The feed forward network is trained using the conventional back propagation learning algorithm with many variations in the NN inputs. We explored models built using various historical data. The selection process of various architectures and training data sets for the proposed NN models are presented. A comparative study of both ANN and the conventional Auto-Regression (AR model networks indicates that the artificial neural networks performed better than the AR model. Hence, we recommend ANN as a useful tool for river flow forecasting.

  17. Recursive wind speed forecasting based on Hammerstein Auto-Regressive model

    International Nuclear Information System (INIS)

    Highlights: • Developed a new recursive WSF model for 1–24 h horizon based on Hammerstein model. • Nonlinear HAR model successfully captured chaotic dynamics of wind speed time series. • Recursive WSF intrinsic error accumulation corrected by applying rotation. • Model verified for real wind speed data from two sites with different characteristics. • HAR model outperformed both ARIMA and ANN models in terms of accuracy of prediction. - Abstract: A new Wind Speed Forecasting (WSF) model, suitable for a short term 1–24 h forecast horizon, is developed by adapting Hammerstein model to an Autoregressive approach. The model is applied to real data collected for a period of three years (2004–2006) from two different sites. The performance of HAR model is evaluated by comparing its prediction with the classical Autoregressive Integrated Moving Average (ARIMA) model and a multi-layer perceptron Artificial Neural Network (ANN). Results show that the HAR model outperforms both the ARIMA model and ANN model in terms of root mean square error (RMSE), mean absolute error (MAE), and Mean Absolute Percentage Error (MAPE). When compared to the conventional models, the new HAR model can better capture various wind speed characteristics, including asymmetric (non-gaussian) wind speed distribution, non-stationary time series profile, and the chaotic dynamics. The new model is beneficial for various applications in the renewable energy area, particularly for power scheduling

  18. Non-contact video-based vital sign monitoring using ambient light and auto-regressive models.

    Science.gov (United States)

    Tarassenko, L; Villarroel, M; Guazzi, A; Jorge, J; Clifton, D A; Pugh, C

    2014-05-01

    Remote sensing of the reflectance photoplethysmogram using a video camera typically positioned 1 m away from the patient's face is a promising method for monitoring the vital signs of patients without attaching any electrodes or sensors to them. Most of the papers in the literature on non-contact vital sign monitoring report results on human volunteers in controlled environments. We have been able to obtain estimates of heart rate and respiratory rate and preliminary results on changes in oxygen saturation from double-monitored patients undergoing haemodialysis in the Oxford Kidney Unit. To achieve this, we have devised a novel method of cancelling out aliased frequency components caused by artificial light flicker, using auto-regressive (AR) modelling and pole cancellation. Secondly, we have been able to construct accurate maps of the spatial distribution of heart rate and respiratory rate information from the coefficients of the AR model. In stable sections with minimal patient motion, the mean absolute error between the camera-derived estimate of heart rate and the reference value from a pulse oximeter is similar to the mean absolute error between two pulse oximeter measurements at different sites (finger and earlobe). The activities of daily living affect the respiratory rate, but the camera-derived estimates of this parameter are at least as accurate as those derived from a thoracic expansion sensor (chest belt). During a period of obstructive sleep apnoea, we tracked changes in oxygen saturation using the ratio of normalized reflectance changes in two colour channels (red and blue), but this required calibration against the reference data from a pulse oximeter. PMID:24681430

  19. A novel approach to equipment health management based on auto-regressive hidden semi-Markov model (AR-HSMM)

    Institute of Scientific and Technical Information of China (English)

    DONG Ming

    2008-01-01

    As a new maintenance method, CBM (condition based maintenance) is becoming more and more important for the health management of complicated and costly equipment. A prerequisite to widespread deployment of CBM technology and prac-tice in industry is effective diagnostics and prognostics. Recently, a pattern recog-nition technique called HMM (hidden Markov model) was widely used in many fields. However, due to some unrealistic assumptions, diagnositic results from HMM were not so good, and it was difficult to use HMM directly for prognosis. By relaxing the unrealistic assumptions in HMM, this paper presents a novel approach to equip-ment health management based on auto-regressive hidden semi-Markov model (AR-HSMM). Compared with HMM, AR-HSMM has three advantages: 1)It allows explicitly modeling the time duration of the hidden states and therefore is capable of prognosis. 2) It can relax observations' independence assumption by accom-modating a link between consecutive observations. 3) It does not follow the unre-alistic Markov chain's memoryless assumption and therefore provides more pow-erful modeling and analysis capability for real problems. To facilitate the computation in the proposed AR-HSMM-based diagnostics and prognostics, new forwardbackward variables are defined and a modified forward-backward algorithm is developed. The evaluation of the proposed methodology was carried out through a real world application case study: health diagnosis and prognosis of hydraulic pumps in Caterpillar Inc. The testing results show that the proposed new approach based on AR-HSMM is effective and can provide useful support for the decision-making in equipment health management.

  20. Day of the year-based prediction of horizontal global solar radiation by a neural network auto-regressive model

    Science.gov (United States)

    Gani, Abdullah; Mohammadi, Kasra; Shamshirband, Shahaboddin; Khorasanizadeh, Hossein; Seyed Danesh, Amir; Piri, Jamshid; Ismail, Zuraini; Zamani, Mazdak

    2016-08-01

    The availability of accurate solar radiation data is essential for designing as well as simulating the solar energy systems. In this study, by employing the long-term daily measured solar data, a neural network auto-regressive model with exogenous inputs (NN-ARX) is applied to predict daily horizontal global solar radiation using day of the year as the sole input. The prime aim is to provide a convenient and precise way for rapid daily global solar radiation prediction, for the stations and their immediate surroundings with such an observation, without utilizing any meteorological-based inputs. To fulfill this, seven Iranian cities with different geographical locations and solar radiation characteristics are considered as case studies. The performance of NN-ARX is compared against the adaptive neuro-fuzzy inference system (ANFIS). The achieved results prove that day of the year-based prediction of daily global solar radiation by both NN-ARX and ANFIS models would be highly feasible owing to the accurate predictions attained. Nevertheless, the statistical analysis indicates the superiority of NN-ARX over ANFIS. In fact, the NN-ARX model represents high potential to follow the measured data favorably for all cities. For the considered cities, the attained statistical indicators of mean absolute bias error, root mean square error, and coefficient of determination for the NN-ARX models are in the ranges of 0.44-0.61 kWh/m2, 0.50-0.71 kWh/m2, and 0.78-0.91, respectively.

  1. Non-contact video-based vital sign monitoring using ambient light and auto-regressive models

    International Nuclear Information System (INIS)

    Remote sensing of the reflectance photoplethysmogram using a video camera typically positioned 1 m away from the patient’s face is a promising method for monitoring the vital signs of patients without attaching any electrodes or sensors to them. Most of the papers in the literature on non-contact vital sign monitoring report results on human volunteers in controlled environments. We have been able to obtain estimates of heart rate and respiratory rate and preliminary results on changes in oxygen saturation from double-monitored patients undergoing haemodialysis in the Oxford Kidney Unit. To achieve this, we have devised a novel method of cancelling out aliased frequency components caused by artificial light flicker, using auto-regressive (AR) modelling and pole cancellation. Secondly, we have been able to construct accurate maps of the spatial distribution of heart rate and respiratory rate information from the coefficients of the AR model. In stable sections with minimal patient motion, the mean absolute error between the camera-derived estimate of heart rate and the reference value from a pulse oximeter is similar to the mean absolute error between two pulse oximeter measurements at different sites (finger and earlobe). The activities of daily living affect the respiratory rate, but the camera-derived estimates of this parameter are at least as accurate as those derived from a thoracic expansion sensor (chest belt). During a period of obstructive sleep apnoea, we tracked changes in oxygen saturation using the ratio of normalized reflectance changes in two colour channels (red and blue), but this required calibration against the reference data from a pulse oximeter. (paper)

  2. Day of the year-based prediction of horizontal global solar radiation by a neural network auto-regressive model

    Science.gov (United States)

    Gani, Abdullah; Mohammadi, Kasra; Shamshirband, Shahaboddin; Khorasanizadeh, Hossein; Seyed Danesh, Amir; Piri, Jamshid; Ismail, Zuraini; Zamani, Mazdak

    2015-06-01

    The availability of accurate solar radiation data is essential for designing as well as simulating the solar energy systems. In this study, by employing the long-term daily measured solar data, a neural network auto-regressive model with exogenous inputs (NN-ARX) is applied to predict daily horizontal global solar radiation using day of the year as the sole input. The prime aim is to provide a convenient and precise way for rapid daily global solar radiation prediction, for the stations and their immediate surroundings with such an observation, without utilizing any meteorological-based inputs. To fulfill this, seven Iranian cities with different geographical locations and solar radiation characteristics are considered as case studies. The performance of NN-ARX is compared against the adaptive neuro-fuzzy inference system (ANFIS). The achieved results prove that day of the year-based prediction of daily global solar radiation by both NN-ARX and ANFIS models would be highly feasible owing to the accurate predictions attained. Nevertheless, the statistical analysis indicates the superiority of NN-ARX over ANFIS. In fact, the NN-ARX model represents high potential to follow the measured data favorably for all cities. For the considered cities, the attained statistical indicators of mean absolute bias error, root mean square error, and coefficient of determination for the NN-ARX models are in the ranges of 0.44-0.61 kWh/m2, 0.50-0.71 kWh/m2, and 0.78-0.91, respectively.

  3. A new data integration approach for AutoCAD and GIS

    Science.gov (United States)

    Ye, Hongmei; Li, Yuhong; Wang, Cheng; Li, Lijun

    2006-10-01

    GIS has its advantages both on spatial data analysis and management, particularly on the geometric and attributive information management, which has also attracted lots attentions among researchers around world. AutoCAD plays more and more important roles as one of the main data sources of GIS. Various work and achievements can be found in the related literature. However, the conventional data integration from AutoCAD to GIS is time-consuming, which also can cause the information loss both in the geometric aspects and the attributive aspects for a large system. It is necessary and urgent to sort out new approach and algorithm for the efficient high-quality data integration. In this paper, a novel data integration approach from AutoCAD to GIS will be introduced based on the spatial data mining technique through the data structure analysis both in the AutoCAD and GIS. A practicable algorithm for the data conversion from CAD to GIS will be given as well. By a designed evaluation scheme, the accuracy of the conversion both in the geometric and the attributive information will be demonstrated. Finally, the validity and feasibility of the new approach will be shown by an experimental analysis.

  4. Integrated Multiscale Latent Variable Regression and Application to Distillation Columns

    Directory of Open Access Journals (Sweden)

    Muddu Madakyaru

    2013-01-01

    Full Text Available Proper control of distillation columns requires estimating some key variables that are challenging to measure online (such as compositions, which are usually estimated using inferential models. Commonly used inferential models include latent variable regression (LVR techniques, such as principal component regression (PCR, partial least squares (PLS, and regularized canonical correlation analysis (RCCA. Unfortunately, measured practical data are usually contaminated with errors, which degrade the prediction abilities of inferential models. Therefore, noisy measurements need to be filtered to enhance the prediction accuracy of these models. Multiscale filtering has been shown to be a powerful feature extraction tool. In this work, the advantages of multiscale filtering are utilized to enhance the prediction accuracy of LVR models by developing an integrated multiscale LVR (IMSLVR modeling algorithm that integrates modeling and feature extraction. The idea behind the IMSLVR modeling algorithm is to filter the process data at different decomposition levels, model the filtered data from each level, and then select the LVR model that optimizes a model selection criterion. The performance of the developed IMSLVR algorithm is illustrated using three examples, one using synthetic data, one using simulated distillation column data, and one using experimental packed bed distillation column data. All examples clearly demonstrate the effectiveness of the IMSLVR algorithm over the conventional methods.

  5. Support vector regression for the solution of linear integral equations

    International Nuclear Information System (INIS)

    The aim of this paper is to establish a support vector regression method for semi-discrete ill-posed problems. We consider the equation Af = g, where a linear integral operator A is known; discrete measurements of the right-hand side are observed and a solution f* is sought. For the reconstruction, instead of a standard square loss function, Vapnik's ε-intensive function is used to measure the distance between Af and g. This avoids an overfitting to disturbed data and guarantees additional stability given that the cut-off parameter ε is chosen appropriately. The resulting solution procedure can be formulated as a quadratic program. Besides the method, a Sobolev error analysis and a parameter strategy for the regularization parameters are provided. The results are substantiated with a numerical example

  6. Integrated lens auto-focus system driven by a nut-type ultrosonic motor (USM)

    Institute of Scientific and Technical Information of China (English)

    ZHOU TieYing; CHEN Yu; LU CunYue; FU DeYong; HU XiaoPing; LI Yi; TIANBin

    2009-01-01

    This paper introduces an integrated optical auto-focus system driven by a nut-type ultrasonic motor (USM). The system comprises an optical lens as a rotor (M6 or M7), a polyhedral tube of copper as a stator; an image sensor, and a driver IC of the motor. The sizes of the AF (auto-focus) module are 8.5 mm×8.5 mm×5.9 mm. The piezoelectric elements are bonded on the external surface of the stator. The rotor has external screw thread that engages with the inner screw thread of the stator. When the pie-zoelectric elements are excited by the driver IC, a bend traveling wave in plane is generated on the stator along the circle direction, that drives the lens rotor to rotate and then to move axially. The driver IC is controlled by an image feedback of an image sensor centered on the axis of the casing, then the optical focusing is realized. The power consumption is zero at rest and is less than 0.25 W in motion; focusing precision 3 r/s(180 r/min); response <10 ms; high reliability: resistant to shock and fall off; directly driven by the driver IC without transmission mechanism; the friction force is namely the driving force and noiseless. The integrated optical auto-focus system is very useful, espe-cially for cellular phones. The image resolution of 3-5 MP has been obtained in the module prototypes of the cellular phone.

  7. Integrated lens auto-focus system driven by a nut-type ultrosonic motor (USM)

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    This paper introduces an integrated optical auto-focus system driven by a nut-type ultrasonic motor (USM). The system comprises an optical lens as a rotor (M6 or M7), a polyhedral tube of copper as a stator; an image sensor, and a driver IC of the motor. The sizes of the AF (auto-focus) module are 8.5 mm×8.5 mm×5.9 mm. The piezoelectric elements are bonded on the external surface of the stator. The rotor has external screw thread that engages with the inner screw thread of the stator. When the piezoelectric elements are excited by the driver IC, a bend traveling wave in plane is generated on the stator along the circle direction, that drives the lens rotor to rotate and then to move axially. The driver IC is controlled by an image feedback of an image sensor centered on the axis of the casing, then the optical focusing is realized. The power consumption is zero at rest and is less than 0.25 W in motion; focusing precision <10 μm; speed >3 r/s(180 r/min); response <10 ms; high reliability: resistant to shock and fall off; directly driven by the driver IC without transmission mechanism; the friction force is namely the driving force and noiseless. The integrated optical auto-focus system is very useful, especially for cellular phones. The image resolution of 3―5 MP has been obtained in the module prototypes of the cellular phone.

  8. Fouling resistance prediction using artificial neural network nonlinear auto-regressive with exogenous input model based on operating conditions and fluid properties correlations

    Science.gov (United States)

    Biyanto, Totok R.

    2016-06-01

    Fouling in a heat exchanger in Crude Preheat Train (CPT) refinery is an unsolved problem that reduces the plant efficiency, increases fuel consumption and CO2 emission. The fouling resistance behavior is very complex. It is difficult to develop a model using first principle equation to predict the fouling resistance due to different operating conditions and different crude blends. In this paper, Artificial Neural Networks (ANN) MultiLayer Perceptron (MLP) with input structure using Nonlinear Auto-Regressive with eXogenous (NARX) is utilized to build the fouling resistance model in shell and tube heat exchanger (STHX). The input data of the model are flow rates and temperatures of the streams of the heat exchanger, physical properties of product and crude blend data. This model serves as a predicting tool to optimize operating conditions and preventive maintenance of STHX. The results show that the model can capture the complexity of fouling characteristics in heat exchanger due to thermodynamic conditions and variations in crude oil properties (blends). It was found that the Root Mean Square Error (RMSE) are suitable to capture the nonlinearity and complexity of the STHX fouling resistance during phases of training and validation.

  9. A segmented hybrid photon detector with integrated auto-triggering front-end electronics for a PET scanner

    International Nuclear Information System (INIS)

    We describe the design, fabrication and test results of a segmented hybrid photon detector with integrated auto-triggering front-end electronics. Both the photodetector and its VLSI readout electronics are custom designed and have been tailored to the requirements of a recently proposed novel geometrical concept of a positron emission tomograph. Emphasis is put on the PET-specific features of the device. The detector has been fabricated in the photocathode facility at CERN

  10. Deep AutoRegressive Networks

    OpenAIRE

    Gregor, Karol; Danihelka, Ivo; Mnih, Andriy; Blundell, Charles; Wierstra, Daan

    2013-01-01

    We introduce a deep, generative autoencoder capable of learning hierarchies of distributed representations from data. Successive deep stochastic hidden layers are equipped with autoregressive connections, which enable the model to be sampled from quickly and exactly via ancestral sampling. We derive an efficient approximate parameter estimation method based on the minimum description length (MDL) principle, which can be seen as maximising a variational lower bound on the log-likelihood, with ...

  11. An Auto sequence Code to Integrate a Neutron Unfolding Code with thePC-MCA Accuspec

    International Nuclear Information System (INIS)

    In a neutron spectrometry using proton recoil method, the neutronunfolding code is needed to unfold the measured proton spectrum to become theneutron spectrum. The process of the unfolding neutron in the existingneutron spectrometry which was successfully installed last year was doneseparately. This manuscript reports that the auto sequence code to integratethe neutron unfolding code UNFSPEC.EXE with the software facility of thePC-MCA Accuspec has been made and run successfully so that the new neutronspectrometry become compact. The auto sequence code was written based on therules in application program facility of PC-MCA Accuspec and then it wascompiled using AC-EXE. Result of the test of the auto sequence code showedthat for binning width 20, 30, and 40 giving a little different spectrumshape. The binning width around 30 gives a better spectrum in mean of givingsmall error compared to the others. (author)

  12. A unified framework for testing in the linear regression model under unknown order of fractional integration

    DEFF Research Database (Denmark)

    Christensen, Bent Jesper; Kruse, Robinson; Sibbertsen, Philipp

    We consider hypothesis testing in a general linear time series regression framework when the possibly fractional order of integration of the error term is unknown. We show that the approach suggested by Vogelsang (1998a) for the case of integer integration does not apply to the case of fractional...

  13. Integration of auto analysis program of gamma spectrum and software and determination of element content in sample by k-zero method

    International Nuclear Information System (INIS)

    Integrating the gamma spectrum auto-analysis program with elemental analysis software by k-zero method is the objective for many researchers. This work is the first stepin building an auto analysis program of gamma spectrum, which includes modules of reading spectrum, displaying spectrum, calibrating energy of peak, smoothing spectrum, calculating peak area and determining content of elements in sample. Then, the results from the measurements of standard samples by a low level spectrometer using HPGe detector are compared to those of other gamma spectrum auto-analysis programs. (author)

  14. The LP [liquefied petroleum] gas industry and auto-propane: Toward an integrated North American strategy

    International Nuclear Information System (INIS)

    The auto propane industry began in Canada in the 1980s as a result of government policies favoring alternate fuels. Total propane demand is ca 4.1 billion liters, with over 30% of this demand in the automotive fuel market. This market is concentrated in Ontario, British Columbia, and Alberta. The total number of propane-powered vehicles in Canada is ca 140,000, the number of propane service stations is over 5,000, and there are ca 850 shops where automobiles can be converted to run on propane. The number of conversions was 15,000 in 1992, down from nearly 23,000 in 1991. The cost of conversion ranges from $1,500 to $2,000. The advantages of propane over gasoline is lower emissions, notably in cold weather, and good performance. To maintain propane's environmental advantage, initiatives are being led by the Canadian Auto Propane Council to develop a multifaceted technical strategy. This strategy includes cooperation with the auto industry to encourage original equipment manufacture of a propane car, participation in gaseous and liquid fuel injection projects designed to permit vehicle conversion, introduction of a stand-alone automatic stop fill valve to eliminate emissions in the filling process, and research on conversion of medium- and heavy-duty engines. Cooperation with the industry in the USA is also recommended

  15. Auto Safety

    Science.gov (United States)

    ... 5 Things to Know About Zika & Pregnancy Auto Safety KidsHealth > For Parents > Auto Safety Print A A ... by teaching some basic rules. Importance of Child Safety Seats Using a child safety seat (car seat) ...

  16. Auto- and Crosscorrelograms for the Spike Response of Leaky Integrate-and-Fire Neurons with Slow Synapses

    International Nuclear Information System (INIS)

    An analytical description of the response properties of simple but realistic neuron models in the presence of noise is still lacking. We determine completely up to the second order the firing statistics of a single and a pair of leaky integrate-and-fire neurons receiving some common slowly filtered white noise. In particular, the auto- and cross-correlation functions of the output spike trains of pairs of cells are obtained from an improvement of the adiabatic approximation introduced previously by Moreno-Bote and Parga [Phys. Rev. Lett. 92, 028102 (2004)]. These two functions define the firing variability and firing synchronization between neurons, and are of much importance for understanding neuron communication

  17. Auto Adjusting Astronomical Telescope

    OpenAIRE

    Rohit R. Ghalsasi; Prof. N. D. Dhoot

    2014-01-01

    Astronomical telescope is powerful and basic tool for star or celestial observation. Here we proposed integrated system using Raspberry Pi for auto adjusting astronomical telescope. This integrated circuit helps to control stellar monitoring, stellar targeting, and tracking functions of telescope. Astro compass gives the direction of the celestial objects.

  18. Auto Adjusting Astronomical Telescope

    Directory of Open Access Journals (Sweden)

    Rohit R. Ghalsasi

    2014-04-01

    Full Text Available Astronomical telescope is powerful and basic tool for star or celestial observation. Here we proposed integrated system using Raspberry Pi for auto adjusting astronomical telescope. This integrated circuit helps to control stellar monitoring, stellar targeting, and tracking functions of telescope. Astro compass gives the direction of the celestial objects.

  19. Auto Alternatives

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    China counts on developing new-energy vehicles to maintain its auto-market leadership While it remains to be seen what kind of progress will be made following the UN Climate Conference in Cancun, Mexico,

  20. Control of integrating process with dead time using auto-tuning approach

    Directory of Open Access Journals (Sweden)

    G. Saravanakumar

    2009-03-01

    Full Text Available A modification of Smith predictor for controlling higher order processes with integral action and long dead-time is proposed in this paper. The controller used in this Smith predictor is an Integral-Proportional Derivative controller, where the Integrator is in the forward path and the Proportional and Derivative control are in the feedback, acting on the feedback signal. The main objective of this paper is to design a dead time compensator, which has minimum tuning parameters, simple controller tuning, and robust performance of tuning formulae, and to obtain a critically damped system that is as fast as possible in its set point and load disturbance rejection performance. The controller in this paper is tuned by an adaptive method. This paper also presents a survey of various dead time compensators and their performance analysis.

  1. Regression analysis of biologically effective integrated irradiances versus ozone, clouds and geometric factors

    Science.gov (United States)

    Díaz, S.; Deferrari, G.; Martinioni, D.; Oberto, A.

    2000-05-01

    Factors affecting UV radiation at the earth's surface include the solar zenith angle, earth-sun distance, clouds, aerosols, altitude, ozone and the ground's albedo. The variation of some factors, such as solar zenith angle and earth-sun distance, is well established. Total column ozone and UV radiation are inversely related, but the presence of clouds may affect the resulting UV in such a way that a depletion in the total column ozone may not always lead to an increase in the radiation at the earth's surface. The aim of this paper is to determine the contribution to the variation of the biologically effective irradiance by geometric factors, clouds and ozone, jointly and separately, in Ushuaia (54°49'S, 68°19'W, sea level), and the seasonal variation of this relationship, given the magnitude and seasonal distribution of the ozone depletion and the frequent presence of high cloud cover in this site. For this purpose, multivariate and simple regression analyses of daily and monthly integrated irradiances weighted by the DNA damage action spectrum as a function of total column ozone and the integrated irradiances in the band 337-342 nm (as a proxy for cloud cover and geometric factors) have been performed. For the analysed period (September 1989-December 1996) more than 97% of the variation of the DNA damage weighted daily integrated irradiances is described by changes in ozone, clouds and geometric factors. Simple regression analysis for daily integrated irradiances, grouped by month, shows that most of this variation is explained by clouds and geometric factors, except in spring, when strong ozone depletion occurs intermittently over this area. When monthly trends are removed, similar results are observed, except for late winter.

  2. Integrated product and process system with continuous improvement in the auto parts industry

    OpenAIRE

    I.B. Silva; G.F. Batalha; M. Stipkovik Filho; F.Z. Ceccarelli; J.B. Anjos; M. Fesz

    2009-01-01

    Purpose: Quality systems (QS) update must be based on the enterprise organization to assure customer satisfaction, as Deming, Juran and Feigenbaum did in their time, to seek improvement processes to reach high quality performance. This way, the proposal of this paper is the development of quality system integration model of product and process with continuous improvement.Design/methodology/approach: To reach this goal, a Brazilian automotive parts quality system was improved through the Compu...

  3. Integrated product and process system with continuous improvement in the auto parts industry

    Directory of Open Access Journals (Sweden)

    I.B. Silva

    2009-06-01

    Full Text Available Purpose: Quality systems (QS update must be based on the enterprise organization to assure customer satisfaction, as Deming, Juran and Feigenbaum did in their time, to seek improvement processes to reach high quality performance. This way, the proposal of this paper is the development of quality system integration model of product and process with continuous improvement.Design/methodology/approach: To reach this goal, a Brazilian automotive parts quality system was improved through the Computer Integrated Manufacturing (CIM, Design for Manufacturing and Assembly (DFMA and Lean Six Sigma (LSS methodologies.Findings: The paper shows what the problems are during the factory quality system management. The results achieved in the studied company show the performance quality evolution through their indicators.Research limitations/implications: The article presents quality system problems of only one Brazilian plant of an automotive industry.Practical implications: Presented in this article should be a way to look for continuous improvement methods.Originality/value: The paper is supported on the authors’ practical experiences to improve the quality system at a Brazilian plant.

  4. Structured catalysts for methane auto-thermal reforming in a compact thermal integrated reaction system

    International Nuclear Information System (INIS)

    In this work a compact catalytic reactor was analysed for the ATR of CH4 as natural gas surrogate. Structured catalysts (commercial honeycomb and foam monoliths) performances in CH4 processing were studied. In reactor design, great attention has been paid to the thermal integration, in order to obtain a total self-sustainability of the process avoiding additional external heat sources, and improving the plant compactness. Through a heat exchange system integrated in the reactor, water and air streams are preheated by exploiting the heat from exhaust stream, allowing to feed reactants at room temperature as well as cooling products stream at a temperature suitable for further purification stages (Water Gas Shift, Preferential Oxidation). In order to have a very comprehensive process analysis, temperatures and composition were monitored in 6 point along the catalytic bed. The influence of catalytic system geometry and thermal conductivity in the process performances were also analysed. Preliminary tests showed high thermal system efficiency, with a good hydrocarbon conversion at different operating conditions for both catalyst typologies

  5. Regional Integrated Meteorological Forecasting and Warning Model for Geological Hazards Based on Logistic Regression

    Institute of Scientific and Technical Information of China (English)

    XU Jing; YANG Chi; ZHANG Guoping

    2007-01-01

    Information model is adopted to integrate factors of various geosciences to estimate the susceptibility of geological hazards. Further combining the dynamic rainfall observations, Logistic regression is used for modeling the probabilities of geological hazard occurrences, upon which hierarchical warnings for rainfall-induced geological hazards are produced. The forecasting and warning model takes numerical precipitation forecasts on grid points as its dynamic input, forecasts the probabilities of geological hazard occurrences on the same grid, and translates the results into likelihoods in the form of a 5-level hierarchy. Validation of the model with observational data for the year 2004 shows that 80% of the geological hazards of the year have been identified as "likely enough to release warning messages". The model can satisfy the requirements of an operational warning system, thus is an effective way to improve the meteorological warnings for geological hazards.

  6. Real-time regression schemes for integrating measurements with emergency response predictions

    International Nuclear Information System (INIS)

    If real-time radiological measurements are available, current computer technology provides an opportunity for improving hazard predictions during an emergency. The potential for substantially reducing prediction uncertainties by integrating real-time observations and predictions into an automated emergency response system exists. In developing such a system, great care must be taken to properly balance prediction-model sophistication, data quality and timing, response time, and a data/model integration scheme. The Atmospheric Release Advisory Capability (ARAC) of the U.S. Department of Energy has initiated a program to establish the feasibility of incorporating an automated, real-time method of correcting predictions using radiological measurements acquired during an emergency. This Predictor/Corrector (P/C) Model is predicated on (1) being able to obtain real-time measurements, (2) having a sophisticated prediction model capable of running many times during an emergency response and, (3) using an appropriately designed non-linear regression scheme. Model sophistication will be designed as a function of available response time. The current plan is to use ARAC's MATHEW/ADPIC model as the P/C predictor, but with the model restructured with multiple loops to provide differing degrees of sophistication, to be invoked as response time allows. We study different regression schemes potentially appropriate for the Predictor/Corrector Model. We use the ARAC Instantaneous Point Source (IPS) model to predict observations that were made at the Savannah River Plant for SF6 tracer releases during 1983. The number of IPS runs and the range of the initial parameter guesses that result in acceptable predictions are determined. Recommendations are made of the best candidates for implementation in the MATHEW/ADPIC model

  7. Comprehensive Auto CAD

    International Nuclear Information System (INIS)

    This book starts introduction of conception, application system, software for CAD, function of Auto CAD, kinds and function of Auto CAD files. It deals with starting of Auto CAD, dialogue box and Auto CAD interface, utility command, 2D drawing command, check command, control system, dimension, hatching command, layer command, block, 3D drawing, plotting and printing, auto CAD and application of data, supply program of auto CAD, AME and region modeler, EDLIN, script optimization of Auto CAD and composition on demand.

  8. Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion

    NARCIS (Netherlands)

    Jokar Arsanjani, J.; Helbich, M.; Kainz, W.; Boloorani, A.

    2013-01-01

    This research analyses the suburban expansion in the metropolitan area of Tehran, Iran. A hybrid model consisting of logistic regression model, Markov chain (MC), and cellular automata (CA) was designed to improve the performance of the standard logistic regression model. Environmental and socio-eco

  9. An Integrated Approach to Battery Health Monitoring using Bayesian Regression, Classification and State Estimation

    Data.gov (United States)

    National Aeronautics and Space Administration — The application of the Bayesian theory of managing uncertainty and complexity to regression and classification in the form of Relevance Vector Machine (RVM), and to...

  10. Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer

    OpenAIRE

    PENG, JIE; Zhu, Ji; Bergamaschi, Anna; Han, Wonshik; Noh, Dong-Young; Pollack, Jonathan R; Wang, Pei

    2010-01-01

    In this paper, we propose a new method remMap -- REgularized Multivariate regression for identifying MAster Predictors -- for fitting multivariate response regression models under the high-dimension-low-sample-size setting. remMap is motivated by investigating the regulatory relationships among different biological molecules based on multiple types of high dimensional genomic data. Particularly, we are interested in studying the influence of DNA copy number alterations on RNA transcript level...

  11. Least square regression based integrated multi-parameteric demand modeling for short term load forecasting

    International Nuclear Information System (INIS)

    Nowadays, due to power crisis, electricity demand forecasting is deemed an important area for socioeconomic development and proper anticipation of the load forecasting is considered essential step towards efficient power system operation, scheduling and planning. In this paper, we present STLF (Short Term Load Forecasting) using multiple regression techniques (i.e. linear, multiple linear, quadratic and exponential) by considering hour by hour load model based on specific targeted day approach with temperature variant parameter. The proposed work forecasts the future load demand correlation with linear and non-linear parameters (i.e. considering temperature in our case) through different regression approaches. The overall load forecasting error is 2.98% which is very much acceptable. From proposed regression techniques, Quadratic Regression technique performs better compared to than other techniques because it can optimally fit broad range of functions and data sets. The work proposed in this paper, will pave a path to effectively forecast the specific day load with multiple variance factors in a way that optimal accuracy can be maintained. (author)

  12. Auto-Conceito Sexual

    OpenAIRE

    Lima, Maria Luisa Pedroso; Sim-Sim, Margarida

    2004-01-01

    Elegendo-se como assunto o auto-conceito e mais especificamente o auto-conceito sexual, procura-se um aprofundamento teórico do tema. Desenvolve-se a definição do auto-conceito e auto-conceito sexual, suas perspectivas historicas, natureza, estrutura e fontes que veiculam a sua construção. São descritos alguns modelos teóricos de auto-conceito e auto-conceito sexual diferenciando entre modelos unidimensionais e multidimensionais. Analisa-se o recente constructo de auto-conceito sexual sublinh...

  13. Least Square Regression Based Integrated Multi-Parameteric Demand Modeling for Short Term Load Forecasting

    OpenAIRE

    Irfan Ahmed Halepoto; Muhammad Aslam Uqaili; Bhawani Shanker Chowdhry

    2014-01-01

    Nowadays, due to power crisis, electricity demand forecasting is deemed an important area for socioeconomic development and proper anticipation of the load forecasting is considered essential step towards efficient power system operation, scheduling and planning. In this paper, we present STLF (Short Term Load Forecasting) using multiple regression techniques (i.e. linear, multiple linear, quadratic and exponential) by considering hour by hour load model based on specific targeted day approac...

  14. Retrospective feasibility study of simultaneous integrated boost in cervical cancer using tomotherapy: the impact of organ motion and tumor regression

    Directory of Open Access Journals (Sweden)

    Herrera Fernanda G

    2013-01-01

    Full Text Available Abstract Background Whole pelvis intensity modulated radiotherapy (IMRT is increasingly being used to treat cervical cancer aiming to reduce side effects. Encouraged by this, some groups have proposed the use of simultaneous integrated boost (SIB to target the tumor, either to get a higher tumoricidal effect or to replace brachytherapy. Nevertheless, physiological organ movement and rapid tumor regression throughout treatment might substantially reduce any benefit of this approach. Purpose To evaluate the clinical target volume - simultaneous integrated boost (CTV-SIB regression and motion during chemo-radiotherapy (CRT for cervical cancer, and to monitor treatment progress dosimetrically and volumetrically to ensure treatment goals are met. Methods and materials Ten patients treated with standard doses of CRT and brachytherapy were retrospectively re-planned using a helical Tomotherapy - SIB technique for the hypothetical scenario of this feasibility study. Target and organs at risk (OAR were contoured on deformable fused planning-computed tomography and megavoltage computed tomography images. The CTV-SIB volume regression was determined. The center of mass (CM was used to evaluate the degree of motion. The Dice’s similarity coefficient (DSC was used to assess the spatial overlap of CTV-SIBs between scans. A cumulative dose-volume histogram modeled estimated delivered doses. Results The CTV-SIB relative reduction was between 31 and 70%. The mean maximum CM change was 12.5, 9, and 3 mm in the superior-inferior, antero-posterior, and right-left dimensions, respectively. The CTV-SIB-DSC approached 1 in the first week of treatment, indicating almost perfect overlap. CTV-SIB-DSC regressed linearly during therapy, and by the end of treatment was 0.5, indicating 50% discordance. Two patients received less than 95% of the prescribed dose. Much higher doses to the OAR were observed. A multiple regression analysis showed a significant interaction

  15. Retrospective feasibility study of simultaneous integrated boost in cervical cancer using tomotherapy: the impact of organ motion and tumor regression

    International Nuclear Information System (INIS)

    Whole pelvis intensity modulated radiotherapy (IMRT) is increasingly being used to treat cervical cancer aiming to reduce side effects. Encouraged by this, some groups have proposed the use of simultaneous integrated boost (SIB) to target the tumor, either to get a higher tumoricidal effect or to replace brachytherapy. Nevertheless, physiological organ movement and rapid tumor regression throughout treatment might substantially reduce any benefit of this approach. To evaluate the clinical target volume - simultaneous integrated boost (CTV-SIB) regression and motion during chemo-radiotherapy (CRT) for cervical cancer, and to monitor treatment progress dosimetrically and volumetrically to ensure treatment goals are met. Ten patients treated with standard doses of CRT and brachytherapy were retrospectively re-planned using a helical Tomotherapy - SIB technique for the hypothetical scenario of this feasibility study. Target and organs at risk (OAR) were contoured on deformable fused planning-computed tomography and megavoltage computed tomography images. The CTV-SIB volume regression was determined. The center of mass (CM) was used to evaluate the degree of motion. The Dice’s similarity coefficient (DSC) was used to assess the spatial overlap of CTV-SIBs between scans. A cumulative dose-volume histogram modeled estimated delivered doses. The CTV-SIB relative reduction was between 31 and 70%. The mean maximum CM change was 12.5, 9, and 3 mm in the superior-inferior, antero-posterior, and right-left dimensions, respectively. The CTV-SIB-DSC approached 1 in the first week of treatment, indicating almost perfect overlap. CTV-SIB-DSC regressed linearly during therapy, and by the end of treatment was 0.5, indicating 50% discordance. Two patients received less than 95% of the prescribed dose. Much higher doses to the OAR were observed. A multiple regression analysis showed a significant interaction between CTV-SIB reduction and OAR dose increase. The CTV-SIB had important

  16. An integrated approach to analyze strategy map using BSC – FUZZY AHP: A case study of auto industry

    Directory of Open Access Journals (Sweden)

    Mohammad Abdolshah

    2012-04-01

    Full Text Available In an environment, which is highly competitive and everything changes rapidly, managers of organizations face with problems such as how to identify important factors preventing organizations from optimum use of available resources and capacities and invest more on key factors. To achieve this goal, we need to develop an effective strategy map for organizations. The strategy map is a constructional and expanding procedure to identify relationships among all the organization's strategic goals, which play a key role in achieving competitive advantage. Undoubtedly, representing a model to identify and to evaluate the important items for each of available goals in strategy map of each organization is a significant help for management to access higher competition benefits. In this paper, strategic objectives in the strategy map of one of the best producer of electric auto part makers in Iran called Electric Vehicle Co. East are evaluated based on balanced score card perspective and to assign appropriate values to available factors we use a hybrid method consist of AHP technique with Fuzzy logic.

  17. Integrated-boost IMRT or 3-D-CRT using FET-PET based auto-contoured target volume delineation for glioblastoma multiforme - a dosimetric comparison

    International Nuclear Information System (INIS)

    Biological brain tumor imaging using O-(2-[18F]fluoroethyl)-L-tyrosine (FET)-PET combined with inverse treatment planning for locally restricted dose escalation in patients with glioblastoma multiforme seems to be a promising approach. The aim of this study was to compare inverse with forward treatment planning for an integrated boost dose application in patients suffering from a glioblastoma multiforme, while biological target volumes are based on FET-PET and MRI data sets. In 16 glioblastoma patients an intensity-modulated radiotherapy technique comprising an integrated boost (IB-IMRT) and a 3-dimensional conventional radiotherapy (3D-CRT) technique were generated for dosimetric comparison. FET-PET, MRI and treatment planning CT (P-CT) were co-registrated. The integrated boost volume (PTV1) was auto-contoured using a cut-off tumor-to-brain ratio (TBR) of ≥ 1.6 from FET-PET. PTV2 delineation was MRI-based. The total dose was prescribed to 72 and 60 Gy for PTV1 and PTV2, using daily fractions of 2.4 and 2 Gy. After auto-contouring of PTV1 a marked target shape complexity had an impact on the dosimetric outcome. Patients with 3-4 PTV1 subvolumes vs. a single volume revealed a significant decrease in mean dose (67.7 vs. 70.6 Gy). From convex to complex shaped PTV1 mean doses decreased from 71.3 Gy to 67.7 Gy. The homogeneity and conformity for PTV1 and PTV2 was significantly improved with IB-IMRT. With the use of IB-IMRT the minimum dose within PTV1 (61.1 vs. 57.4 Gy) and PTV2 (51.4 vs. 40.9 Gy) increased significantly, and the mean EUD for PTV2 was improved (59.9 vs. 55.3 Gy, p < 0.01). The EUD for PTV1 was only slightly improved (68.3 vs. 67.3 Gy). The EUD for the brain was equal with both planning techniques. In the presented planning study the integrated boost concept based on inversely planned IB-IMRT is feasible. The FET-PET-based automatically contoured PTV1 can lead to very complex geometric configurations, limiting the achievable mean dose in the boost

  18. DESIGN OF SQUARE SUBSTRATE INTEGRATED WAVEGUIDE CAVITY RESONATORS: COMPENSATION OF MODELLING ERRORS BY SUPPORT VECTOR REGRESSION MACHINES

    Directory of Open Access Journals (Sweden)

    Giovanni Angiulli

    2012-01-01

    Full Text Available The design of Substrate Integrated Waveguide (SIW resonators is usually a cumbersome process, especially due to the length “trial and error” procedure involved in this task. In this study Support Vector Regression Machines (SVRMs are employed to compensate the modeling errors associated to the design of SIW rectangular cavity resonators. To validate the proposed approach, we have compared the design outputs provided by our method with the results provided by commercial full wave software. The comparison between our predictions and the full wave simulations validate the effectiveness of the proposed approach.

  19. Integrative analysis of multiple diverse omics datasets by sparse group multitask regression

    OpenAIRE

    Lin, Dongdong; Zhang, Jigang; Li, Jingyao; He, Hao; Deng, Hong-Wen; Wang, Yu-Ping

    2014-01-01

    A variety of high throughput genome-wide assays enable the exploration of genetic risk factors underlying complex traits. Although these studies have remarkable impact on identifying susceptible biomarkers, they suffer from issues such as limited sample size and low reproducibility. Combining individual studies of different genetic levels/platforms has the promise to improve the power and consistency of biomarker identification. In this paper, we propose a novel integrative method, namely spa...

  20. Boundary integral equation method calculations of surface regression effects in flame spreading

    Science.gov (United States)

    Altenkirch, R. A.; Rezayat, M.; Eichhorn, R.; Rizzo, F. J.

    1982-01-01

    A solid-phase conduction problem that is a modified version of one that has been treated previously in the literature and is applicable to flame spreading over a pyrolyzing fuel is solved using a boundary integral equation (BIE) method. Results are compared to surface temperature measurements that can be found in the literature. In addition, the heat conducted through the solid forward of the flame, the heat transfer responsible for sustaining the flame, is also computed in terms of the Peclet number based on a heated layer depth using the BIE method and approximate methods based on asymptotic expansions. Agreement between computed and experimental results is quite good as is agreement between the BIE and the approximate results.

  1. Forecasting with Dynamic Regression Models

    CERN Document Server

    Pankratz, Alan

    2012-01-01

    One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier work, Forecasting with Univariate Box-Jenkins Models: Concepts and Cases, the present text pulls together recent time series ideas and gives special attention to possible intertemporal patterns, distributed lag responses of output to input series and the auto correlation patterns of regression disturbance. It also includes six case studies.

  2. Easy Auto CAD

    International Nuclear Information System (INIS)

    This book explains Auto CAD easily, which introduces improved function in Auto CAD R 13, such as direct import and export of 3 DS pile, revised render order structure, and explanations of assist, view Draw, construct and modify. Next it gives descriptions of Auto CAD conception, application and system. The last part deals with line, arc, circle, ellipse, erase, undo, redo, redraw, line type, multi line, limits, zoom, move, copy, rotate, array, mirror, grid, snap, units, offset and poly line.

  3. Hybrid Support Vector Regression and Autoregressive Integrated Moving Average Models Improved by Particle Swarm Optimization for Property Crime Rates Forecasting with Economic Indicators

    OpenAIRE

    Razana Alwee; Siti Mariyam Hj Shamsuddin; Roselina Sallehuddin

    2013-01-01

    Crimes forecasting is an important area in the field of criminology. Linear models, such as regression and econometric models, are commonly applied in crime forecasting. However, in real crimes data, it is common that the data consists of both linear and nonlinear components. A single model may not be sufficient to identify all the characteristics of the data. The purpose of this study is to introduce a hybrid model that combines support vector regression (SVR) and autoregressive integrated m...

  4. AutoBin

    OpenAIRE

    Salin, Franck

    2010-01-01

    AutoBin is an Excel Macro written in Microsoft Visual Basic (VBA). It automatically analyzes raw data generated from microsatellites genotyping software such as STRand (Toonen et al., 2001) or GeneMapper (Applied Biosystems, USA). AutoBin has been developed by Franck Salin. It can deal with unlimited number of loci and samples, with no consideration of the type of SSRs motifs. AutoBin helps the user to bin his data with visual alerts and format automatically the data for downstream analysis.

  5. AutoCAD workbook

    CERN Document Server

    Metherell, Phil

    1989-01-01

    AutoCAD Workbook helps new users learn the basics of AutoCad, providing guidance on most of the commonly used functions in which the program operates.This book discusses loading AutoCad and starting a drawing; drawing and erasing lines, circles, and arcs; and setting up the drawing environment. The topics on drawing and editing polylines; entering text and text styles; and layers, linetype, and color are also considered. This publication likewise covers creating and using blocks, hatching and extracting information, dimensioning drawings, 3D visualization, and plotting a drawing. Other

  6. AutoPalinin messumarkkinointi

    OpenAIRE

    Alenius, Minna

    2013-01-01

    Tämä opinnäytetyö toimii AutoPalinin messukonseptina tapahtumamarkkinoinnissa. Messukonseptissa käsitellään AutoPalinin osallistumista yleisömessuille sekä messuilla tapahtuvaa markkinointia. Opinnäytetyössä kerrotaan yleisesti messuista tärkeänä ja vahvana mediana sekä vaiheittain messuprojektin etenemisen ja tarpeelliset työvaiheet suunnittelusta aina messujen jälkeen tehtäviin osioihin, jotka kaikki yhdessä oikein toteutettuna mahdollistavat AutoPalinille parhaan mahdollisen messumenestyks...

  7. HEPATITE AUTO IMMUN

    OpenAIRE

    Halfaoui, Nadia

    2015-01-01

    Les hépatites auto –immun sont d’une atteinte inflammatoire aigu ou chronique du foie caractérisé par réaction immunitaire dirigé contre un antigène de hôte .il en existe deux types :  Hépatite auto immun type 1 : caractérisé par présence d’auto anticorps anti muscle lisse de spécifité antiactine, anticorps anti nucléaires.  Type 2 caractérisé par présence d’auto anticorps anti microsome de foie et de rein (anti LMNK1). Leur étiologies est multifactoriel ; impliquant...

  8. Tagaotsitav "Auto" / Kristiina Vaarik

    Index Scriptorium Estoniae

    Vaarik, Kristiina

    2001-01-01

    Chris O'Connelli "Auto" Vanemuises, lavastaja Mark Babych. Etendusele tegid muusika ansamblist Bizarre tuntud muusikud Tristan Priimägi ja Lauri Liivak, kes artiklis sellest räägivad. Esietendus 2. detsembril 2000

  9. Quantile regression

    CERN Document Server

    Hao, Lingxin

    2007-01-01

    Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on assumptions as restrictive as those for the classical linear regression; though more traditional models such as least squares linear regression are more widely utilized, Hao

  10. Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression

    DEFF Research Database (Denmark)

    Larsen, Klaus; Merlo, Juan

    2005-01-01

    The logistic regression model is frequently used in epidemiologic studies, yielding odds ratio or relative risk interpretations. Inspired by the theory of linear normal models, the logistic regression model has been extended to allow for correlated responses by introducing random effects. However......, the model does not inherit the interpretational features of the normal model. In this paper, the authors argue that the existing measures are unsatisfactory (and some of them are even improper) when quantifying results from multilevel logistic regression analyses. The authors suggest a measure of...... regression. For this purpose, the authors propose an odds ratio measure, the interval odds ratio, that takes these difficulties into account. The authors demonstrate the two measures by investigating heterogeneity between neighborhoods and effects of neighborhood-level covariates in two examples...

  11. Application of Auto CAD

    International Nuclear Information System (INIS)

    This book has introduction to use this book and explanation of application on Auto CAD, which includes, sub directories, batch files, robot wrist, design of standard paper, title block, robort weld room, robert wrist joint, PC board, plant sym, electro, PID, machines, robots, bubbles, plant, schema, Pid, plant assembly, robots, dim plant, PL-ASSM, plotting line weight control, symbol drawing joint, Auto CAD using script file, set up of workout · MNU, workout MNU, ACAD, LSP and workout · MNU.

  12. PERI auto-tuning

    Energy Technology Data Exchange (ETDEWEB)

    Bailey, D H; Williams, S [Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States); Chame, J; Chen, C; Hall, M [USC/ISI, Marina del Rey, CA 90292 (United States); Dongarra, J; Moore, S; Seymour, K; You, H [University of Tennessee, Knoxville, TN 37996 (United States); Hollingsworth, J K; Tiwari, A [University of Maryland, College Park, MD 20742 (United States); Hovland, P; Shin, J [Argonne National Laboratory, Argonne, IL 60439 (United States)], E-mail: mhall@isi.edu

    2008-07-15

    The enormous and growing complexity of today's high-end systems has increased the already significant challenges of obtaining high performance on equally complex scientific applications. Application scientists are faced with a daunting challenge in tuning their codes to exploit performance-enhancing architectural features. The Performance Engineering Research Institute (PERI) is working toward the goal of automating portions of the performance tuning process. This paper describes PERI's overall strategy for auto-tuning tools and recent progress in both building auto-tuning tools and demonstrating their success on kernels, some taken from large-scale applications.

  13. AutoCAD

    DEFF Research Database (Denmark)

    Jensen, Henrik

    1998-01-01

    I 1998 var AutoCAD Arkitektskolens basale CAD-tilbud til de studerende. Kursets vægt ligger på konstruktion og strukturering af 3d-modeller og med udgangspunkt i dette, 2d-tegning. Kurset er opbygget over CAD Clasic skabelonen (se min forskning). Kompendiet kan bruges til selvstudium.......I 1998 var AutoCAD Arkitektskolens basale CAD-tilbud til de studerende. Kursets vægt ligger på konstruktion og strukturering af 3d-modeller og med udgangspunkt i dette, 2d-tegning. Kurset er opbygget over CAD Clasic skabelonen (se min forskning). Kompendiet kan bruges til selvstudium....

  14. PERI auto-tuning

    International Nuclear Information System (INIS)

    The enormous and growing complexity of today's high-end systems has increased the already significant challenges of obtaining high performance on equally complex scientific applications. Application scientists are faced with a daunting challenge in tuning their codes to exploit performance-enhancing architectural features. The Performance Engineering Research Institute (PERI) is working toward the goal of automating portions of the performance tuning process. This paper describes PERI's overall strategy for auto-tuning tools and recent progress in both building auto-tuning tools and demonstrating their success on kernels, some taken from large-scale applications

  15. Regression Basics

    CERN Document Server

    Kahane, Leo H

    2007-01-01

    Using a friendly, nontechnical approach, the Second Edition of Regression Basics introduces readers to the fundamentals of regression. Accessible to anyone with an introductory statistics background, this book builds from a simple two-variable model to a model of greater complexity. Author Leo H. Kahane weaves four engaging examples throughout the text to illustrate not only the techniques of regression but also how this empirical tool can be applied in creative ways to consider a broad array of topics. New to the Second Edition Offers greater coverage of simple panel-data estimation:

  16. World Auto Parts Market Thriving

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    @@ In a global market with increased competition, the global auto industrial chain in some regions of Europe, the U.S. and Japan is transforming into a new relationship between the auto parts producers and complete vehicle producers.

  17. Logistic Regression

    Science.gov (United States)

    Grégoire, G.

    2014-12-01

    The logistic regression originally is intended to explain the relationship between the probability of an event and a set of covariables. The model's coefficients can be interpreted via the odds and odds ratio, which are presented in introduction of the chapter. The observations are possibly got individually, then we speak of binary logistic regression. When they are grouped, the logistic regression is said binomial. In our presentation we mainly focus on the binary case. For statistical inference the main tool is the maximum likelihood methodology: we present the Wald, Rao and likelihoods ratio results and their use to compare nested models. The problems we intend to deal with are essentially the same as in multiple linear regression: testing global effect, individual effect, selection of variables to build a model, measure of the fitness of the model, prediction of new values… . The methods are demonstrated on data sets using R. Finally we briefly consider the binomial case and the situation where we are interested in several events, that is the polytomous (multinomial) logistic regression and the particular case of ordinal logistic regression.

  18. The Durban Auto Cluster

    DEFF Research Database (Denmark)

    Lorentzen, Jochen; Robbins, Glen; Barnes, Justin

    2004-01-01

    The paper describes the formation of the Durban Auto Cluster in the context of trade liberalization. It argues that the improvement of operational competitiveness of firms in the cluster is prominently due to joint action. It tests this proposition by comparing the gains from cluster activities i...

  19. Auto's te water.

    NARCIS (Netherlands)

    2009-01-01

    Ongevallen waarbij auto's in diep water of in een sloot of greppel belanden zijn dikwijls gecompliceerd en lopen vaak ernstig af. Gezien deze afloop en het feit dat ongeveer de helft van de overleden bij dit soort ongevallen niet omkomt door verdrinking maar door verwondingen, zijn preventieve maatr

  20. Auto Part Boom

    Institute of Scientific and Technical Information of China (English)

    WANG PEI

    2006-01-01

    @@ "Facing a very good market space at the present time,no matter domestic or overseas,we are increasing all the resources we can to expand our production capacity,"says Xu Peng,sales manager of a major Chinese private auto parts company."However,there are still many external conditions restricting the expansion."

  1. Beginning AutoCAD 2002

    CERN Document Server

    McFarlane, Bob

    2002-01-01

    New features in AutoCAD 2002 are covered in this book, making it a useful refresher course for anyone using AutoCAD at this level, and upgrading to the new software release. The material in the book is also relevant to anyone using other recent releases, including, AutoCAD 2000.

  2. AutoCAD 2014 and AutoCAD LT 2014

    CERN Document Server

    Gladfelter, Donnie

    2013-01-01

    A step-by-step tutorial introduction to AutoCAD As the only book to teach AutoCAD using a continuous tutorial which allows you to follow along sequentially or jump in at any exercise by downloading the drawing files, this Autodesk Official Press book is ideal for the AutoCAD novice. Industry expert and AutoCAD guru Donnie Gladfelter walks you through the powerful features of AutoCAD, provides you with a solid foundation of the basics, and shares the latest industry standards and techniques. The hands-on tutorial project inspired by real-world workflows that runs throughout the book

  3. Fail Fast - Fail Often: Enhancing Agile Methodology using Dynamic Regression, Code Bisector and Code Quality in Continuous Integration (CI)

    OpenAIRE

    Sandeep Sivanandan

    2015-01-01

    Agile practices are receiving considerable attention from industry as an alternative to traditional software development approaches. However, there are a number of challenges in combining Agile [2] with Test-driven development (TDD) [10] practices, cloud deployments, continuous integration (CI), non-stop performance, load, security and accessibly testing. From these challenges; Continuous Integration is a relatively an approach widely discussed and practiced in software testing. This paper de...

  4. 粒子群和蚁群融合算法的自主清洁机器人路径%Particle Swarm Optimization and Ant Colony Algorithm integration of auto-cleaning robot path

    Institute of Scientific and Technical Information of China (English)

    杨惠; 李峰

    2009-01-01

    为了克服粒子群算法和蚁群算法的缺陷,将改进的粒子群算法和蚁群算法进行融合,形成了PAAA算法,并将此算法应用于自主清洁机器人行为路径的仿真实验.结果表明:PAAA在求解性能上优于粒子群算法,在时间效率上优于蚁群算法.%In order to overcome the deficiencies of particle swarm optimization and ant colony algorithm,this paper integrates the improved particle swarm optimization and ant colony algorithm,formats the PAAA,this algorithm is applied to auto-cleaning robot simulation path.The results show that:PAAA superior performance in solving particle swarm optimization,in terms of time better than the ant colony algorithm efficiency.

  5. MS AutoCad

    DEFF Research Database (Denmark)

    Andersen, Michael Rye; Heinicke, Hugo

    1996-01-01

    Formålet med dette notat er at give en introduktion til tegning af et generalarrangement ved anvendelse af CAD-programmet AutoCAD. Generalarrangementets formål er at skabe en overskuelig præsentation af et skibsprojekt. Det skal gøres indenfor de rammer, som ligger til grund for praktiskprojekter......Formålet med dette notat er at give en introduktion til tegning af et generalarrangement ved anvendelse af CAD-programmet AutoCAD. Generalarrangementets formål er at skabe en overskuelig præsentation af et skibsprojekt. Det skal gøres indenfor de rammer, som ligger til grund for...

  6. The Durban Auto Cluster

    OpenAIRE

    Lorentzen, Jochen; Robbins, Glen; Barnes, Justin

    2004-01-01

    The paper describes the formation of the Durban Auto Cluster in the context of trade liberalization. It argues that the improvement of operational competitiveness of firms in the cluster is prominently due to joint action. It tests this proposition by comparing the gains from cluster activities in the areas of supplier development, human resource development, logistics, and benchmarking, and by contrasting the impact of joint action against a host of other variables, notably international com...

  7. Jeddah Auto Mall

    OpenAIRE

    Altahlawi, Naif

    2008-01-01

    This Project demonstrates a constructive approach in Jeddah, Saudi Arabia where the building would be a symbol of luxury. The auto mall gives a common platform to different car makers to display their cars and address their competition under one roof which would be convenient for customers to compare cars. The building has twelve show room units. Each unit has a display area, offices, and a service area. The roof structure system facilitates a large open span beneath it. A series of con...

  8. Pyrolysis and auto-gasification of black liquor in presence of ZnO: An integrated process for Zn/ZnO nanostructure production and bioenergy generation

    International Nuclear Information System (INIS)

    This study presents a new process for valorisation of black liquor into gases that are used to reduce ZnO and promote zinc nanosheet synthesis, besides energy generation. During the black liquor pyrolysis and auto-gasification, gases evolve, especially carbon monoxide, and promote ZnO reduction with Zn(v) release. The metal is condensed yielding zinc nanosheets, with partial surface re-oxidation in presence of carbon dioxide. The process was investigated at the micro scale using thermal analyses (TG/DTG/DTA) and the gases evolved were analysed by FTIR spectroscopy (TG/FTIR). The process was also studied in laboratory scale using a tubular electric furnace. The black liquor/ZnO mixture was placed at the quartz tube and the sample was heated to 900 °C at 10 °C/min, and the temperature was held at 900 °C for 1 h. The nanostructures growth was catalyst-free, without pressure reduction or a template, at temperatures lower than those required in the classical carbothermal reduction of ZnO with fossil carbon. The nanostructures were investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS) and infrared spectroscopy (FTIR). One mechanism was presented in an attempt to explain the synthesis of Zn/ZnO nanosheets that are crystalline. This green and innovative process has potential use at the industry due to its operational conditions, low costs and technological importance of Zn and ZnO nanostructures. -- Graphical abstract: Display Omitted Highlights: ► Black liquor and ZnO mixture were submitted to a heat treatment until 900 °C. ► The black liquor suffered pyrolysis and auto-gasification. ► ZnO is reduced by CO yielding Znv, that is condensed generating Zn/ZnO nanosheets. ► The nanostructures are characterized and a mechanism of reactions is presented. ► The new process can produce energy and nanostructures in large scale.

  9. Robust Regression.

    Science.gov (United States)

    Huang, Dong; Cabral, Ricardo; De la Torre, Fernando

    2016-02-01

    Discriminative methods (e.g., kernel regression, SVM) have been extensively used to solve problems such as object recognition, image alignment and pose estimation from images. These methods typically map image features ( X) to continuous (e.g., pose) or discrete (e.g., object category) values. A major drawback of existing discriminative methods is that samples are directly projected onto a subspace and hence fail to account for outliers common in realistic training sets due to occlusion, specular reflections or noise. It is important to notice that existing discriminative approaches assume the input variables X to be noise free. Thus, discriminative methods experience significant performance degradation when gross outliers are present. Despite its obvious importance, the problem of robust discriminative learning has been relatively unexplored in computer vision. This paper develops the theory of robust regression (RR) and presents an effective convex approach that uses recent advances on rank minimization. The framework applies to a variety of problems in computer vision including robust linear discriminant analysis, regression with missing data, and multi-label classification. Several synthetic and real examples with applications to head pose estimation from images, image and video classification and facial attribute classification with missing data are used to illustrate the benefits of RR. PMID:26761740

  10. AutoCAD / AutoCAD LT 2014 fundamentals metric

    CERN Document Server

    ASCENT center for technical knowledge

    2014-01-01

    The objective of AutoCAD/AutoCAD LT 2014 Fundamentals is to enable students to create a basic 2D drawing in the AutoCAD software. Even at this fundamental level, the AutoCAD software is one of the most sophisticated computer applications that you are likely to encounter. Therefore learning to use it can be challenging. To make the process easier and provide flexibility for instructors and students, the training guide is divided into two parts that can be taken independently.

  11. Internet与AutoCAD%Internet and AutoCAD

    Institute of Scientific and Technical Information of China (English)

    李岩; 修立刚

    2009-01-01

    从Internet是国际上交流信息最重要的方法出发,介绍了AutoCAD的网络功能.即如何在Web上发布图形和在AutoCAD中进行网上的图形操作.%Is internationally exchanges the information most important method from Intemet to embark, introduced the AutoCAD network function, how namely on Web to issue that the graph and carries in-line graph operation in AutoCAD.

  12. Land Surface Temperature Retrieval from MODIS Data by Integrating Regression Models and the Genetic Algorithm in an Arid Region

    Directory of Open Access Journals (Sweden)

    Ji Zhou

    2014-06-01

    Full Text Available The land surface temperature (LST is one of the most important parameters of surface-atmosphere interactions. Methods for retrieving LSTs from satellite remote sensing data are beneficial for modeling hydrological, ecological, agricultural and meteorological processes on Earth’s surface. Many split-window (SW algorithms, which can be applied to satellite sensors with two adjacent thermal channels located in the atmospheric window between 10 μm and 12 μm, require auxiliary atmospheric parameters (e.g., water vapor content. In this research, the Heihe River basin, which is one of the most arid regions in China, is selected as the study area. The Moderate-resolution Imaging Spectroradiometer (MODIS is selected as a test case. The Global Data Assimilation System (GDAS atmospheric profiles of the study area are used to generate the training dataset through radiative transfer simulation. Significant correlations between the atmospheric upwelling radiance in MODIS channel 31 and the other three atmospheric parameters, including the transmittance in channel 31 and the transmittance and upwelling radiance in channel 32, are trained based on the simulation dataset and formulated with three regression models. Next, the genetic algorithm is used to estimate the LST. Validations of the RM-GA method are based on the simulation dataset generated from in situ measured radiosonde profiles and GDAS atmospheric profiles, the in situ measured LSTs, and a pair of daytime and nighttime MOD11A1 products in the study area. The results demonstrate that RM-GA has a good ability to estimate the LSTs directly from the MODIS data without any auxiliary atmospheric parameters. Although this research is for local application in the Heihe River basin, the findings and proposed method can easily be extended to other satellite sensors and regions with arid climates and high elevations.

  13. Landslide susceptibility mapping using decision-tree based CHi-squared automatic interaction detection (CHAID) and Logistic regression (LR) integration

    International Nuclear Information System (INIS)

    This article uses methodology based on chi-squared automatic interaction detection (CHAID), as a multivariate method that has an automatic classification capacity to analyse large numbers of landslide conditioning factors. This new algorithm was developed to overcome the subjectivity of the manual categorization of scale data of landslide conditioning factors, and to predict rainfall-induced susceptibility map in Kuala Lumpur city and surrounding areas using geographic information system (GIS). The main objective of this article is to use CHi-squared automatic interaction detection (CHAID) method to perform the best classification fit for each conditioning factor, then, combining it with logistic regression (LR). LR model was used to find the corresponding coefficients of best fitting function that assess the optimal terminal nodes. A cluster pattern of landslide locations was extracted in previous study using nearest neighbor index (NNI), which were then used to identify the clustered landslide locations range. Clustered locations were used as model training data with 14 landslide conditioning factors such as; topographic derived parameters, lithology, NDVI, land use and land cover maps. Pearson chi-squared value was used to find the best classification fit between the dependent variable and conditioning factors. Finally the relationship between conditioning factors were assessed and the landslide susceptibility map (LSM) was produced. An area under the curve (AUC) was used to test the model reliability and prediction capability with the training and validation landslide locations respectively. This study proved the efficiency and reliability of decision tree (DT) model in landslide susceptibility mapping. Also it provided a valuable scientific basis for spatial decision making in planning and urban management studies

  14. "Chinese Style" Auto marketing Thrives

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    @@ Over the past 10 years, China's auto industry has seen rapid growth.The miracle of such fast development, from a humble beginning to a strong player in the world's auto industry,can be attributed to a variety of factors.The most important factor, however, is that the auto industry has incorporated Chinese characteristics during its growth,whether facing challenges or developing new innovations.

  15. Bayesian logistic regression analysis

    NARCIS (Netherlands)

    Van Erp, H.R.N.; Van Gelder, P.H.A.J.M.

    2012-01-01

    In this paper we present a Bayesian logistic regression analysis. It is found that if one wishes to derive the posterior distribution of the probability of some event, then, together with the traditional Bayes Theorem and the integrating out of nuissance parameters, the Jacobian transformation is an

  16. Brilliance Auto: Chinese, Global, Successful

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

      As the only automobile sponsor of BOAO FORUM FOR ASIA in April 2004, Brilliance Auto had a great opportunity to show her 'New Zhonghua" sedan which is an upper-medium car with completely independent intellectual property rights and repre sents the independent development philosophy of Brilliance Auto and is especially made for business personnel. The development pattern of Zhonghua sedan set a brand new model in Chinese auto industry to utilize the global resources and talents and international division of labor in the international arena, and she has become a typical sample of independent brand sedans in the contemporary Chinese auto industry.……

  17. Easy Korean Auto CAD 14

    International Nuclear Information System (INIS)

    This book introduces Auto CAD 14, which includes summary of basic things of Auto CAD 14, user interface for Auto CAD, basic drawing and advice, layer and set-up drawing, drawing with Auto CAD tools exactly, basic drawing of every thing, edit command, control of display, modeling and view ports of drawing space, various things drawing, writing letters, modification of floor plan, and check, block, X ref, lines and hatch, writing measurement, floor plan and OLE exchange of data, 3D floor plan, and rendering and presentation.

  18. Beginning AutoCAD 2005

    CERN Document Server

    McFarlane, Bob

    2005-01-01

    Beginning AutoCAD 2005 is a course based on learning and practising the essentials of 2D drawing using AutoCAD. Bob McFarlane's hands-on approach is uniquely suited to independent learning and use on courses. The focus on 2D drawing in one book, ensures the reader gets a thorough grounding in the subject, with a greater depth of coverage than tends to be available from general introductions to AutoCAD. As a result, this book provides a true, step-by-step, detailed exploration of the AutoCAD functions required at each stage of producing a 2D drawing - an approach often

  19. Auto immune hepatitis.

    Science.gov (United States)

    van Gerven, Nicole Mf; de Boer, Ynto S; Mulder, Chris Jj; van Nieuwkerk, Carin Mj; Bouma, Gerd

    2016-05-21

    To provide an update of the latest trends in epidemiology, clinical course, diagnostics, complications and treatment of auto immune hepatitis (AIH). A search of the MEDLINE database was performed using the search terms: "auto immune hepatitis", "clinical presentation", "symptoms", "signs", "diagnosis", "auto antibodies", "laboratory values", "serology", "histopathology", "histology", "genetics", "HLA genes", "non-HLA genes", "environment", "epidemiology", "prevalence", "incidence", "demographics", "complications", "HCC", "PBC", "PSC", "corticosteroid", "therapy", "treatment", "alternative treatment". English-language full-text articles and abstracts were considered. Articles included reviews, meta-analysis, prospective retrospective studies. No publication date restrictions were applied. AIH is an immune meditated progressive inflammatory liver disease that predominantly affects middle-aged females but may affect people of all ages. The clinical spectrum of AIH is wide, ranging from absent or mild symptoms to fulminant hepatic failure. The aetiology of AIH is still unknown, but is believed to occur as the consequence of an aberrant immune response towards an un-known trigger in a genetically susceptible host. In the absence of a gold standard, diagnosis is based on the combination of clinical, biochemical and histopathological criteria. Immunosuppressive treatment has been the cornerstone of treatment since the earliest description of the disease in 1950 by Waldenström. Such treatment is often successful at inducing remission and generally leads to normal life expectancy. Nevertheless, there remain significant areas of unmet aetiological a clinical needs including fundamental insight in disease pathogenesis, optimal therapy, duration of treatment and treatment alternatives in those patients unresponsive to standard treatment regimens. PMID:27217697

  20. Auto immune hepatitis

    Science.gov (United States)

    van Gerven, Nicole MF; de Boer, Ynto S; Mulder, Chris JJ; van Nieuwkerk, Carin MJ; Bouma, Gerd

    2016-01-01

    To provide an update of the latest trends in epidemiology, clinical course, diagnostics, complications and treatment of auto immune hepatitis (AIH). A search of the MEDLINE database was performed using the search terms: “auto immune hepatitis”, “clinical presentation”, “symptoms”, “signs”, “diagnosis”, “auto antibodies”, “laboratory values”, “serology”, “histopathology”, “histology”, “genetics”, “HLA genes”, “non-HLA genes”, “environment”, “epidemiology”, “prevalence”, “incidence”, “demographics”, “complications”, “HCC”, “PBC”, “PSC”, “corticosteroid”, “therapy”, “treatment”, “alternative treatment”. English-language full-text articles and abstracts were considered. Articles included reviews, meta-analysis, prospective retrospective studies. No publication date restrictions were applied. AIH is an immune meditated progressive inflammatory liver disease that predominantly affects middle-aged females but may affect people of all ages. The clinical spectrum of AIH is wide, ranging from absent or mild symptoms to fulminant hepatic failure. The aetiology of AIH is still unknown, but is believed to occur as the consequence of an aberrant immune response towards an un-known trigger in a genetically susceptible host. In the absence of a gold standard, diagnosis is based on the combination of clinical, biochemical and histopathological criteria. Immunosuppressive treatment has been the cornerstone of treatment since the earliest description of the disease in 1950 by Waldenström. Such treatment is often successful at inducing remission and generally leads to normal life expectancy. Nevertheless, there remain significant areas of unmet aetiological a clinical needs including fundamental insight in disease pathogenesis, optimal therapy, duration of treatment and treatment alternatives in those patients unresponsive to standard treatment regimens. PMID:27217697

  1. Lens auto-centering

    Science.gov (United States)

    Lamontagne, Frédéric; Desnoyers, Nichola; Doucet, Michel; Côté, Patrice; Gauvin, Jonny; Anctil, Geneviève; Tremblay, Mathieu

    2015-09-01

    In a typical optical system, optical elements usually need to be precisely positioned and aligned to perform the correct optical function. This positioning and alignment involves securing the optical element in a holder or mount. Proper centering of an optical element with respect to the holder is a delicate operation that generally requires tight manufacturing tolerances or active alignment, resulting in costly optical assemblies. To optimize optical performance and minimize manufacturing cost, there is a need for a lens mounting method that could relax manufacturing tolerance, reduce assembly time and provide high centering accuracy. This paper presents a patent pending lens mounting method developed at INO that can be compared to the drop-in technique for its simplicity while providing the level of accuracy close to that achievable with techniques using a centering machine (usually innovative auto-centering method is based on the use of geometrical relationship between the lens diameter, the lens radius of curvature and the thread angle of the retaining ring. The autocentering principle and centering test results performed on real optical assemblies are presented. In addition to the low assembly time, high centering accuracy, and environmental robustness, the INO auto-centering method has the advantage of relaxing lens and barrel bore diameter tolerances as well as lens wedge tolerances. The use of this novel lens mounting method significantly reduces manufacturing and assembly costs for high performance optical systems. Large volume productions would especially benefit from this advancement in precision lens mounting, potentially providing a drastic cost reduction.

  2. Hybrid Support Vector Regression and Autoregressive Integrated Moving Average Models Improved by Particle Swarm Optimization for Property Crime Rates Forecasting with Economic Indicators

    Directory of Open Access Journals (Sweden)

    Razana Alwee

    2013-01-01

    Full Text Available Crimes forecasting is an important area in the field of criminology. Linear models, such as regression and econometric models, are commonly applied in crime forecasting. However, in real crimes data, it is common that the data consists of both linear and nonlinear components. A single model may not be sufficient to identify all the characteristics of the data. The purpose of this study is to introduce a hybrid model that combines support vector regression (SVR and autoregressive integrated moving average (ARIMA to be applied in crime rates forecasting. SVR is very robust with small training data and high-dimensional problem. Meanwhile, ARIMA has the ability to model several types of time series. However, the accuracy of the SVR model depends on values of its parameters, while ARIMA is not robust to be applied to small data sets. Therefore, to overcome this problem, particle swarm optimization is used to estimate the parameters of the SVR and ARIMA models. The proposed hybrid model is used to forecast the property crime rates of the United State based on economic indicators. The experimental results show that the proposed hybrid model is able to produce more accurate forecasting results as compared to the individual models.

  3. Integrated impact of radiation in the zone of ChNPP on the auto flora state of the animals' large in testiness

    International Nuclear Information System (INIS)

    The state of microbiocenosis of large intestines of rats and furae which were exposed to continuous integrated radiation has been studied in the field experiments emergency premises and in the adjacent zone of its impact

  4. Automatic detection of AutoPEEP during controlled mechanical ventilation

    Directory of Open Access Journals (Sweden)

    Nguyen Quang-Thang

    2012-06-01

    Full Text Available Abstract Background Dynamic hyperinflation, hereafter called AutoPEEP (auto-positive end expiratory pressure with some slight language abuse, is a frequent deleterious phenomenon in patients undergoing mechanical ventilation. Although not readily quantifiable, AutoPEEP can be recognized on the expiratory portion of the flow waveform. If expiratory flow does not return to zero before the next inspiration, AutoPEEP is present. This simple detection however requires the eye of an expert clinician at the patient’s bedside. An automatic detection of AutoPEEP should be helpful to optimize care. Methods In this paper, a platform for automatic detection of AutoPEEP based on the flow signal available on most of recent mechanical ventilators is introduced. The detection algorithms are developed on the basis of robust non-parametric hypothesis testings that require no prior information on the signal distribution. In particular, two detectors are proposed: one is based on SNT (Signal Norm Testing and the other is an extension of SNT in the sequential framework. The performance assessment was carried out on a respiratory system analog and ex-vivo on various retrospectively acquired patient curves. Results The experiment results have shown that the proposed algorithm provides relevant AutoPEEP detection on both simulated and real data. The analysis of clinical data has shown that the proposed detectors can be used to automatically detect AutoPEEP with an accuracy of 93% and a recall (sensitivity of 90%. Conclusions The proposed platform provides an automatic early detection of AutoPEEP. Such functionality can be integrated in the currently used mechanical ventilator for continuous monitoring of the patient-ventilator interface and, therefore, alleviate the clinician task.

  5. Wind speed prediction using statistical regression and neural network

    Indian Academy of Sciences (India)

    Makarand A Kulkarni; Sunil Patil; G V Rama; P N Sen

    2008-08-01

    Prediction of wind speed in the atmospheric boundary layer is important for wind energy assess- ment,satellite launching and aviation,etc.There are a few techniques available for wind speed prediction,which require a minimum number of input parameters.Four different statistical techniques,viz.,curve fitting,Auto Regressive Integrated Moving Average Model (ARIMA),extrapolation with periodic function and Artificial Neural Networks (ANN)are employed to predict wind speed.These methods require wind speeds of previous hours as input.It has been found that wind speed can be predicted with a reasonable degree of accuracy using two methods,viz.,extrapolation using periodic curve fitting and ANN and the other two methods are not very useful.

  6. The Impact of Integrated Practices of Lean, Green, and Social Management Systems on Firm Sustainability Performance—Evidence from Chinese Fashion Auto-Parts Suppliers

    Directory of Open Access Journals (Sweden)

    Lin Wu

    2015-03-01

    Full Text Available To better satisfy various stakeholders, firms are seeking integrated practices that can enhance their sustainability performance, also well known as the Triple Bottom Line (3BL. The fashion industry exhibits potential conflicts with the spirit of sustainability because of the waste created by high levels of demand uncertainty and the extant usage of resources in production. Literature suggests that selected stand-alone practices of lean, green, and Corporate Social Responsibility (CSR management systems have a positive impact on firm sustainability performance. However, how the combination of selected practices from these three management systems impacts the 3BL remains unclear. Based on case studies, we build an integrated sustainable practices model incorporating the most popular lean, green, and social practices and develop propositions for future tests. Our framework suggests the implementation of integrated practices would have a stronger influence on 3BL performance than individual practice implementation.

  7. Local Linear Regression for Data with AR Errors

    Institute of Scientific and Technical Information of China (English)

    Runze Li; Yan Li

    2009-01-01

    In many statistical applications, data are collected over time, and they are likely correlated. In this paper, we investigate how to incorporate the correlation information into the local linear regression. Under the assumption that the error process is an auto-regressive process, a new estimation procedure is proposed for the nonparametric regression by using local linear regression method and the profile least squares techniques.We further propose the SCAD penalized profile least squares method to determine the order of auto-regressive process. Extensive Monte Carlo simulation studies are conducted to examine the finite sample performance of the proposed procedure, and to compare the performance of the proposed procedures with the existing one.From our empirical studies, the newly proposed procedures can dramatically improve the accuracy of naive local linear regression with working-independent error structure. We illustrate the proposed methodology by an analysis of real data set.

  8. Generalized Nonlinear Irreducible Auto-Correlation and Its Applications in Nonlinear Prediction Models Identification

    Institute of Scientific and Technical Information of China (English)

    HOU Yuexian; HE Pilian

    2005-01-01

    There is still an obstacle to prevent neural network from wider and more effective applications, i.e., the lack of effective theories of models identification. Based on information theory and its generalization, this paper introduces a universal method to achieve nonlinear models identification. Two key quantities, which are called nonlinear irreducible auto-correlation (NIAC) and generalized nonlinear irreducible auto-correlation (GNIAC), are defined and discussed. NIAC and GNIAC correspond with intrinstic irreducible auto-dependency (IAD) and generalized irreducible auto-dependency (GIAD) of time series respectively. By investigating the evolving trend of NIAC and GNIAC, the optimal auto-regressive order of nonlinear auto-regressive models could be determined naturally. Subsequently, an efficient algorithm computing NIAC and GNIAC is discussed. Experiments on simulating data sets and typical nonlinear prediction models indicate remarkable correlation between optimal auto-regressive order and the highest order that NIAC-GNIAC have a remarkable non-zero value, therefore demonstrate the validity of the proposal in this paper.

  9. Participação e integração: o ponto de vista das teorias da auto-organização Participation and integration: the self-organization theories point of view

    Directory of Open Access Journals (Sweden)

    Ana Maria Coutinho Aleksandrowicz

    2009-10-01

    Full Text Available Este artigo visa apresentar bases teóricas que auxiliem o exercício da participação e da integração numa equipe interdisciplinar de pesquisadores. Para tal, num primeiro momento, delinearemos noções fundamentais do novo campo conceitual proposto, o das teorias da auto-organização dos seres vivos. Exporemos, a seguir, construtos de Henri Atlan, Jean-Pierre Dupuy e Cornelius Castoriadis relevantes para a consecução do objetivo almejado. Finalmente, sugeriremos possibilidades de passagem à prática de alguns dos princípios descritos.This article presents theoretical bases to facilitate participation and integration within an interdisciplinary research team. In order to achieve this, we will sketch fundamental notions related to the new conceptual field of self-organization of living beings. Subsequently, we will expose some ideas by Henri Atlan, Jean-Pierre Dupuy and Cornelius Castoriadis that are important to reach our objectives. Finally, we will suggest how to turn these principles into practice.

  10. Cultural Integration of Cross-Border M&A Activities in the Chinese Auto Industry : Case Study: the Acquisition of Geely and Volvo

    OpenAIRE

    Wan, Ruoling

    2015-01-01

    Along with the development and strategy change of Chinese economy, an increasing number of Chinese companies tend to start their globalization via cross-border mergers and acquisitions. However, the huge cultural differences usually cause cultural conflicts, which can be great challenges and obstacles to companies who are seeking to develop overseas. Thus, in the post-merger stage, it is significant for Chinese companies to pay enough attention to cultural integration in order to improve the ...

  11. The Impact of Integrated Practices of Lean, Green, and Social Management Systems on Firm Sustainability Performance—Evidence from Chinese Fashion Auto-Parts Suppliers

    OpenAIRE

    Lin Wu; Nachiappan Subramanian; Muhammad D. Abdulrahman; Chang Liu; Kee-hung Lai; Pawar, Kulwant S.

    2015-01-01

    To better satisfy various stakeholders, firms are seeking integrated practices that can enhance their sustainability performance, also well known as the Triple Bottom Line (3BL). The fashion industry exhibits potential conflicts with the spirit of sustainability because of the waste created by high levels of demand uncertainty and the extant usage of resources in production. Literature suggests that selected stand-alone practices of lean, green, and Corporate Social Responsibility (CSR) manag...

  12. AutoCAD 2014 essentials

    CERN Document Server

    Onstott, Scott

    2013-01-01

    Learn crucial AutoCAD tools and techniques with this Autodesk Official Press Book Quickly become productive using AutoCAD 2014 and AutoCAD LT 2014 with this full color Autodesk Official Press guide. This unique learning resource features concise, straightforward explanations and real-world, hands-on exercises and tutorials. Following a quick discussion of concepts and goals, each chapter moves on to an approachable hands-on exercise designed to reinforce real-world tactics and techniques. Compelling, full-color screenshots illustrate tutorial steps, and chapters conclude with relat

  13. CONGRATULATIONS ON AUTO CHINA 2006

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    @@ In April, China Machinery Industry Federation and Media & Press Center of CCPIT have successfully organized the China Auto International(Syria)Exhibition Tour and promoted the "walk out" strategy of Chinese independent brands.

  14. CONGRATULATIONS ON AUTO CHINA 2006

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

      In April, China Machinery Industry Federation and Media & Press Center of CCPIT have successfully organized the China Auto International(Syria)Exhibition Tour and promoted the "walk out" strategy of Chinese independent brands.……

  15. Liiketoimintasuunnitelma Auto-Roiko Ky

    OpenAIRE

    Roiko, Sebastian

    2014-01-01

    Tämän opinnäytetyön tarkoituksena oli liiketoimintasuunnitelman tekeminen toimeksiantajayritys Auto-Roiko Ky:lle. Auto-Roiko Ky on kuorma-autojen maahantuontiin erikoistunut yritys Kannuksessa, Keski-Pohjanmaalla. Tavoitteena oli toiminnan kokonaisvaltainen kehittäminen ja uusien liiketoimintamallien tarkastelu. Uusina liiketoimintoina tutkittiin henkilöautokauppaa ja polttoainejakelua. Työ toteutettiin kehittämishankkeena kvalitatiivista tutkimusmenetelmää käyttäen. Tutkimusai...

  16. Green Project in Auto Industry

    Institute of Scientific and Technical Information of China (English)

    Yang Wei

    2007-01-01

    @@ Automobile industry in China is developing very fast,which brings great business opportunities.In 2006,China was ranked the third in the world only after the United States and Japan in terms of auto sales.As the vehicle population in China is rocketing,a series of related social problems are emerging.How to fast develop auto industfy,and at the same time,protect our lwing environment? A green project is in urgent need.

  17. Regression: A Bibliography.

    Science.gov (United States)

    Pedrini, D. T.; Pedrini, Bonnie C.

    Regression, another mechanism studied by Sigmund Freud, has had much research, e.g., hypnotic regression, frustration regression, schizophrenic regression, and infra-human-animal regression (often directly related to fixation). Many investigators worked with hypnotic age regression, which has a long history, going back to Russian reflexologists.…

  18. Landslide Susceptibility Analysis by the comparison and integration of Random Forest and Logistic Regression methods; application to the disaster of Nova Friburgo - Rio de Janeiro, Brasil (January 2011)

    Science.gov (United States)

    Esposito, Carlo; Barra, Anna; Evans, Stephen G.; Scarascia Mugnozza, Gabriele; Delaney, Keith

    2014-05-01

    The study of landslide susceptibility by multivariate statistical methods is based on finding a quantitative relationship between controlling factors and landslide occurrence. Such studies have become popular in the last few decades thanks to the development of geographic information systems (GIS) software and the related improved data management. In this work we applied a statistical approach to an area of high landslide susceptibility mainly due to its tropical climate and geological-geomorphological setting. The study area is located in the south-east region of Brazil that has frequently been affected by flood and landslide hazard, especially because of heavy rainfall events during the summer season. In this work we studied a disastrous event that occurred on January 11th and 12th of 2011, which involved Região Serrana (the mountainous region of Rio de Janeiro State) and caused more than 5000 landslides and at least 904 deaths. In order to produce susceptibility maps, we focused our attention on an area of 93,6 km2 that includes Nova Friburgo city. We utilized two different multivariate statistic methods: Logistic Regression (LR), already widely used in applied geosciences, and Random Forest (RF), which has only recently been applied to landslide susceptibility analysis. With reference to each mapping unit, the first method (LR) results in a probability of landslide occurrence, while the second one (RF) gives a prediction in terms of % of area susceptible to slope failure. With this aim in mind, a landslide inventory map (related to the studied event) has been drawn up through analyses of high-resolution GeoEye satellite images, in a GIS environment. Data layers of 11 causative factors have been created and processed in order to be used as continuous numerical or discrete categorical variables in statistical analysis. In particular, the logistic regression method has frequent difficulties in managing numerical continuous and discrete categorical variables

  19. Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County, China

    Science.gov (United States)

    Liang, Hao; Gao, Lian; Liang, Bingyu; Huang, Jiegang; Zang, Ning; Liao, Yanyan; Yu, Jun; Lai, Jingzhen; Qin, Fengxiang; Su, Jinming; Ye, Li; Chen, Hui

    2016-01-01

    Background Hepatitis is a serious public health problem with increasing cases and property damage in Heng County. It is necessary to develop a model to predict the hepatitis epidemic that could be useful for preventing this disease. Methods The autoregressive integrated moving average (ARIMA) model and the generalized regression neural network (GRNN) model were used to fit the incidence data from the Heng County CDC (Center for Disease Control and Prevention) from January 2005 to December 2012. Then, the ARIMA-GRNN hybrid model was developed. The incidence data from January 2013 to December 2013 were used to validate the models. Several parameters, including mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE) and mean square error (MSE), were used to compare the performance among the three models. Results The morbidity of hepatitis from Jan 2005 to Dec 2012 has seasonal variation and slightly rising trend. The ARIMA(0,1,2)(1,1,1)12 model was the most appropriate one with the residual test showing a white noise sequence. The smoothing factor of the basic GRNN model and the combined model was 1.8 and 0.07, respectively. The four parameters of the hybrid model were lower than those of the two single models in the validation. The parameters values of the GRNN model were the lowest in the fitting of the three models. Conclusions The hybrid ARIMA-GRNN model showed better hepatitis incidence forecasting in Heng County than the single ARIMA model and the basic GRNN model. It is a potential decision-supportive tool for controlling hepatitis in Heng County. PMID:27258555

  20. AutoCAD 2015 and AutoCAD LT 2015

    CERN Document Server

    Gladfelter, Donnie

    2014-01-01

    Learn AutoCAD by example with this tutorial-based guide from Autodesk Official Press Whether you are just starting out or an experienced user wanting to brush up on your skills, this Autodesk Official Press book provides you with concise explanations, focused examples, and step-by-step instructions through a hands-on tutorial project that runs throughout the book. As you progress through the project, the book introduces you to the Microsoft Windows-based AutoCAD interface and then guides you through basic commands and creating drawings. A downloadable file is available from the website so that

  1. Auto-Generated Semantic Processing Services

    Science.gov (United States)

    Davis, Rodney; Hupf, Greg

    2009-01-01

    Auto-Generated Semantic Processing (AGSP) Services is a suite of software tools for automated generation of other computer programs, denoted cross-platform semantic adapters, that support interoperability of computer-based communication systems that utilize a variety of both new and legacy communication software running in a variety of operating- system/computer-hardware combinations. AGSP has numerous potential uses in military, space-exploration, and other government applications as well as in commercial telecommunications. The cross-platform semantic adapters take advantage of common features of computer- based communication systems to enforce semantics, messaging protocols, and standards of processing of streams of binary data to ensure integrity of data and consistency of meaning among interoperating systems. The auto-generation aspect of AGSP Services reduces development time and effort by emphasizing specification and minimizing implementation: In effect, the design, building, and debugging of software for effecting conversions among complex communication protocols, custom device mappings, and unique data-manipulation algorithms is replaced with metadata specifications that map to an abstract platform-independent communications model. AGSP Services is modular and has been shown to be easily integrable into new and legacy NASA flight and ground communication systems.

  2. AutoCAD 2010 For Dummies

    CERN Document Server

    Byrnes, David

    2009-01-01

    AutoCAD is the hot computer-aided design software known for both its powerful tools and its complexity. AutoCAD 2010 for Dummies is the bestselling guide that walks you through this complicated program so you can build complex 3D technical drawings, edit like a pro, enter new dimensions, and plot with style. AutoCAD 2010 for Dummies helps you navigate the program, use the AutoCAD Design Center, create a basic layout and work with dimension, and put your drawings on the Internet. You'll soon be setting up the AutoCAD environment, using the AutoCAD Ribbon, creating annotation and dimension drawi

  3. Instant AutoIt scripting

    CERN Document Server

    Laso, Emilio Aristides de Fez

    2013-01-01

    Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This is a Packt Instant How-to guide, which provides concise and clear recipes for getting started with AutoIt.Instant AutoIt Scripting Essentials How-to is for beginners who wish to know more about automation and programming, system administration developers who intent to automate/manage clusters and servers, and for computer programmers who want to control any PC to create seamless automation apps.

  4. Footprints of China Auto Internatienal Exhibition Tour

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    @@ November 2008,the Sixth China Auto International(Algeria & Egypt)Exhibition Tour is ready.Since the first session was held in 1995,the Chinese auto enterprises have been to Vietnam,Cambodia,Syria,and Russian.

  5. Tumbling Auto Import and Export

    Institute of Scientific and Technical Information of China (English)

    Yantai Chen

    2009-01-01

    @@ The seemingly rebound global financial crisis has seriously eroded world economy from 2008,of which China's tumbling auto imports and exports business is a good example.At the beginning of 2008 it kicked off as an excellent year for the Chinese automotive market,but ended with the onset of a recession in last quarter both from the perspective of import and export.

  6. Environment-friendly Auto Marketing

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    @@ Domestic auto sales have developed quickly with private vehicles making up the highest proportion, but lately customers have begun to care more about environmental protection. Therefore, the last few years has seen more and more consumption disputes and civil lawsuits resulting from the pollution inside vehicles.

  7. Auto executives:Worried While Being Happy

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    Xu Liuping,director of the board of Chang'an Auto Group,had just come back from Japan and north America before the opening of this year's Shanghai auto show.He knew something about the financial crisis towards the overseas auto industry from reports and during this trip

  8. The New Breakthroughs of Chinese Auto Industry

    Institute of Scientific and Technical Information of China (English)

    Sun Yongjian

    2006-01-01

    @@ Auto Engine Systems: A Key Part for Reform Prof. Ouyang Minggao, Tsinghua University: The road of development from a large production country to a strong technology country eyed. By 2020, China is predicted to be the largest auto manufactuer in the world.In the view of the development of the global auto market, the fastest development is taking place in developing countries.

  9. 2006 Chinese Government Auto Purchase Forum

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Sponsored by Economic Daily and the China Machinery Enterprises Management Association, the 2006 Chinese Government Auto Purchase Forum will be held in Tianjin on July 11-13. This represents another high-level dialogue and exchange between the government and the auto industry hot on the heels of the 2005 Chinese Government Auto Purchase Forum. This event is launched to promote

  10. Reduced Rank Regression

    DEFF Research Database (Denmark)

    Johansen, Søren

    2008-01-01

    The reduced rank regression model is a multivariate regression model with a coefficient matrix with reduced rank. The reduced rank regression algorithm is an estimation procedure, which estimates the reduced rank regression model. It is related to canonical correlations and involves calculating...... eigenvalues and eigenvectors. We give a number of different applications to regression and time series analysis, and show how the reduced rank regression estimator can be derived as a Gaussian maximum likelihood estimator. We briefly mention asymptotic results...

  11. Semiparametric regression during 2003–2007

    KAUST Repository

    Ruppert, David

    2009-01-01

    Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology – thus allowing more streamlined handling of longitudinal and spatial correlation. We review progress in the field over the five-year period between 2003 and 2007. We find semiparametric regression to be a vibrant field with substantial involvement and activity, continual enhancement and widespread application.

  12. AutoCAD 2008 for dummies

    CERN Document Server

    Byrnes, David

    2007-01-01

    A gentle, humorous introduction to this fearsomely complex software that helps new users start creating 2D and 3D technical drawings right awayCovers the new features and enhancements in the latest AutoCAD version and provides coverage of AutoCAD LT, AutoCAD''s lower-cost siblingTopics covered include creating a basic layout, using AutoCAD DesignCenter, drawing and editing, working with dimensions, plotting, using blocks, adding text to drawings, and drawing on the InternetAutoCAD is the leading CAD software for architects, engineers, and draftspeople who need to create detailed 2D and 3D tech

  13. AutoCAD应用技巧

    Institute of Scientific and Technical Information of China (English)

    张小平

    2010-01-01

    在长期使用AutoCAD绘图和AutoCAD教学中,发现AutoCAD中出现的问题很多,因此给我们带来困扰和使用的不便,大降低了工作的效率.为了方便AutoCAD绘图的使用和教学,笔者提出了自己的一些高效管理AutoCAD图形,提高绘图效率的方法.

  14. AutoCAD platform customization autolisp

    CERN Document Server

    Ambrosius, Lee

    2014-01-01

    Customize and personalize programs built on the AutoCAD platform AutoLISP is the key to unlocking the secrets of a more streamlined experience using industry leading software programs like AutoCAD, Civil 3D, Plant 3D, and more. AutoCAD Platform Customization: AutoLISP provides real-world examples that show you how to do everything from modifying graphical objects and reading and setting system variables to communicating with external programs. It also features a resources appendix and downloadable datasets and customization examples-tools that ensure swift and easy adoption. Find out how to r

  15. AutoCAD 2014 for dummies

    CERN Document Server

    Fane, Bill

    2013-01-01

    Find your way around AutoCAD 2014 with this full-color, For Dummies guide!Put away that pencil and paper and start putting the power of AutoCAD 2014 to work in your CAD projects and designs. From setting up your drawing environment to using text, dimensions, hatching, and more, this guide walks you through AutoCAD basics and provides you with a solid understanding of the latest CAD tools and techniques. You'll also benefit from the full-color illustrations that mirror exactly what you'll see on your AutoCAD 2014 screen and highlight the importance of AutoCAD's Mode

  16. Contractive De-noising Auto-encoder

    OpenAIRE

    Chen, Fu-qiang; Wu, Yan; Zhao, Guo-dong; Zhang, Jun-Ming; Zhu, Ming; Bai, Jing

    2013-01-01

    Auto-encoder is a special kind of neural network based on reconstruction. De-noising auto-encoder (DAE) is an improved auto-encoder which is robust to the input by corrupting the original data first and then reconstructing the original input by minimizing the reconstruction error function. And contractive auto-encoder (CAE) is another kind of improved auto-encoder to learn robust feature by introducing the Frobenius norm of the Jacobean matrix of the learned feature with respect to the origin...

  17. AutoCAD platform customization VBA

    CERN Document Server

    Ambrosius, Lee

    2015-01-01

    Boost productivity and streamline your workflow with expert AutoCAD: VBA programming instruction AutoCAD Platform Customization: VBA is the definitive guide to personalizing AutoCAD and the various programs that run on the AutoCAD platform, including AutoCAD Architecture, Civil 3D, Plant 3D, and more. Written by an Autodesk insider with years of customization and programming experience, this book features detailed discussions backed by real-world examples and easy-to-follow tutorials that illustrate each step in the personalization process. Readers gain expert guidance toward managing layout

  18. Kernel Continuum Regression.

    Science.gov (United States)

    Lee, Myung Hee; Liu, Yufeng

    2013-12-01

    The continuum regression technique provides an appealing regression framework connecting ordinary least squares, partial least squares and principal component regression in one family. It offers some insight on the underlying regression model for a given application. Moreover, it helps to provide deep understanding of various regression techniques. Despite the useful framework, however, the current development on continuum regression is only for linear regression. In many applications, nonlinear regression is necessary. The extension of continuum regression from linear models to nonlinear models using kernel learning is considered. The proposed kernel continuum regression technique is quite general and can handle very flexible regression model estimation. An efficient algorithm is developed for fast implementation. Numerical examples have demonstrated the usefulness of the proposed technique. PMID:24058224

  19. GPS与CASS6.0、AutoCAD软件在景东县集体林权制度改革中的综合运用%Integrated Utilization of Software GPS and CASS6.0 as well as AutoCAD in the Reform of Collective Forest Property Right System in Jingdong County

    Institute of Scientific and Technical Information of China (English)

    诸良富

    2009-01-01

    为了解决景东县深化集体林权制度主体改革中时间紧、任务重、技术难度大、技术力量弱等实际问题,将GPS与CASS6.0、AutoCAD软件综合运用,使得外业工作速度加快,质量提高,每个技术员从一天只能勘查10~20宗林地提高到30~50宗林地,并且节省了人力、资金和时间,资料规范整齐,实现无纸化办公,档案管理方便.%In order to solve the actual problems in deepening the reform of collective forest property right system concerning critical time, heaven task, difficult technique, and poor technical ability, the software GPS and CASS6.0 as well as AutoCAD are comprehensively utilized to make the fieldwork fast speed and high quality. A technician can survey 30- 50 clans per day instead of original 10- 20 clans per day in detail. Moreover, the utilization can save human force, fund and time, and obtain standard materials to realize doing office work with no- paper and convenient file management as a result

  20. Linear regression analysis

    OpenAIRE

    Kılıç, Selim

    2013-01-01

    Linear regression is an approach to modeling the association between a numeric dependent variable y and one or more independent variables denoted X. The case of one explanatory variable in regression model is called simple linear regression. For more than one explanatory variable, then the model is called multiple linear regression. The dependent variable should be a numeric variable in linear regression. It is recommended at least 10 times as many cases as the number of independent variables...

  1. Averaged extreme regression quantile

    OpenAIRE

    Jureckova, Jana

    2015-01-01

    Various events in the nature, economics and in other areas force us to combine the study of extremes with regression and other methods. A useful tool for reducing the role of nuisance regression, while we are interested in the shape or tails of the basic distribution, is provided by the averaged regression quantile and namely by the average extreme regression quantile. Both are weighted means of regression quantile components, with weights depending on the regressors. Our primary interest is ...

  2. Purchasing The American Auto Industry

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    Afalling giant is still huge There are reports that American Big Three are going to shut down 59 plants in this January to hold more cash for a supporting hand from the government. From the viewpoint of accountant practice and investment bank,it is the best time for local car producers to go abroad."Trapped American auto industry is much devalued and it is the best time for local producers

  3. AutoCAD platform customization user interface, AutoLISP, VBA, and beyond

    CERN Document Server

    Ambrosius, Lee

    2015-01-01

    Take control of AutoCAD to boost the speed, quality, and precision of your work Senior drafters and savvy users are increasingly taking AutoCAD customization out of the hands of system administrators, and taking control of their own workflow. In AutoCAD Platform Customization, Autodesk customization guru Lee Ambrosius walks you through a multitude of customization options using detailed tutorials and real-world examples applicable to AutoCAD, AutoCAD LT, Civil 3D, Plant 3D, and other programs built on the AutoCAD platform. By unleashing the full power of the software, you'll simplify and str

  4. AutoCAD到AutoCAD Mechanical的平滑过渡

    Institute of Scientific and Technical Information of China (English)

    黄皓

    2014-01-01

    AutoCAD Mechanical是AutoCAD面向机械行业的专业版,在行业内对AutoCAD具有全面优势。在2010版的环境下,阐述了AutoCAD Mechanical的新增功能、使用优势和操作技术,可以在较短时间内实现从AutoCAD到AutoCAD Mechanical使用的平滑过渡,实现工作效率与创新能力的倍增。

  5. Stability of the AutoQUANT (ADAC) package: filter choices

    International Nuclear Information System (INIS)

    Full text: Functional assessment of the left ventricle is an integral part of the overall gated myocardial SPECT evaluation. Interpretation of perfusion images is to some extent subjective with varied preferences regarding the degree of smoothing and background subtraction. In this study we compare the functional parameters reported by the AutoQUANT (ADAC) package following processing of the raw data with five different default filters. 18 Sets of gated SPECT data were reconstructed using five different filters at the default settings. The filters used were Butterworth (Freq 0.55, order 5), Gaussian (0.55, 5), Hanning (0.55), Hamming (0.55) and Parzen (0.55). The reconstructed data was analysed using the AutoQUANT package and parameters for ejection fraction, wall motion and wall thickening were analysed. No significant difference was found in the functional parameters as reported by the AutoQUANT package using different reconstruction filters. The maximum absolute variation in the parameters was as follows: LVEF 3%, Wall Motion 0.7mm and Wall Thickening 5%. The AutoQuant package is stable in its reporting of the myocardial functional parameters regardless of the filters applied during the reconstruction of the raw data. Copyright (2002) The Australian and New Zealand Society of Nuclear Medicine Inc

  6. Logistics Optimization of Auto Parts Supplier Embedded by Service Alliance

    Directory of Open Access Journals (Sweden)

    Yue LONG

    2013-10-01

    Full Text Available To study the logistics service optimization of auto parts suppliers in China, this paper proposes a logistics service optimization model of many service enterprises to one supplier. This model which takes two logistics service enterprises and one supplier as research objects includes the enterprise interests growth model based on the Lotka-Volterra model and interests distribution model using Shapley value method amended by the contribution factor. Furthermore, an example is given to testify the model. The results show that the auto parts supplier’s logistics can be improved and cost can be reduced if the logistics service alliance was established successfully with one core integrating service enterprise and a total logistics service solution was provided. The results also show that as the cost reduces, the interests of the alliance increase and the rational distribution by the integrating service enterprise will help promote the interests of all members

  7. AutoMoDe - Model-Based Development of Automotive Software

    CERN Document Server

    Ziegenbein, Dirk; Freund, Ulrich; Bauer, Andreas; Romberg, Jan; Schatz, Bernhard

    2011-01-01

    This paper describes first results from the AutoMoDe (Automotive Model-Based Development) project. The overall goal of the project is to develop an integrated methodology for model-based development of automotive control software, based on problem-specific design notations with an explicit formal foundation. Based on the existing AutoFOCUS framework, a tool prototype is being developed in order to illustrate and validate the key elements of our approach.

  8. Auto-JacoBin: Auto-encoder Jacobian Binary Hashing

    OpenAIRE

    Fu, Xiping; McCane, Brendan; Mills, Steven; Albert, Michael; Szymanski, Lech

    2016-01-01

    Binary codes can be used to speed up nearest neighbor search tasks in large scale data sets as they are efficient for both storage and retrieval. In this paper, we propose a robust auto-encoder model that preserves the geometric relationships of high-dimensional data sets in Hamming space. This is done by considering a noise-removing function in a region surrounding the manifold where the training data points lie. This function is defined with the property that it projects the data points nea...

  9. Methodische Verkenning Zelfrijdende Auto's en Bereikbaarheid

    OpenAIRE

    Snelder, M.; Van Arem, B.; Hoogendoorn, R.G.; Van Nes, R.

    2015-01-01

    De verwachting is dat de zelfrijdende auto op termijn gaat bijdragen aan het verbeteren van de doorstroming, de verkeersveiligheid en de leefbaarheid. Zodra de zelfrijdende auto een substantiële trend is, wordt deze meegenomen in de afwegingen voor nieuwe infrastructuur, onder andere via de Nationale Markt en Capaciteits-Analyse (NMCA). Om hier klaar voor te zijn is een verkenning uitgevoerd naar de manier waarop de bereikbaarheids- en doorstromingseffecten van zelfrijdende auto's met het LMS...

  10. Auto-encoders: reconstruction versus compression

    OpenAIRE

    Ollivier, Yann

    2014-01-01

    We discuss the similarities and differences between training an auto-encoder to minimize the reconstruction error, and training the same auto-encoder to compress the data via a generative model. Minimizing a codelength for the data using an auto-encoder is equivalent to minimizing the reconstruction error plus some correcting terms which have an interpretation as either a denoising or contractive property of the decoding function. These terms are related but not identical to those used in den...

  11. Regression analysis by example

    CERN Document Server

    Chatterjee, Samprit

    2012-01-01

    Praise for the Fourth Edition: ""This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable."" -Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded

  12. Multiple linear regression.

    Science.gov (United States)

    Eberly, Lynn E

    2007-01-01

    This chapter describes multiple linear regression, a statistical approach used to describe the simultaneous associations of several variables with one continuous outcome. Important steps in using this approach include estimation and inference, variable selection in model building, and assessing model fit. The special cases of regression with interactions among the variables, polynomial regression, regressions with categorical (grouping) variables, and separate slopes models are also covered. Examples in microbiology are used throughout. PMID:18450050

  13. Brilliance Auto:Chinese, Global, Successful

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    @@ As the only automobile sponsor of BOAO FORUM FOR ASIA in April 2004, Brilliance Auto had a great opportunity to show her 'New Zhonghua" sedan which is an upper-medium car with completely independent intellectual property rights and repre sents the independent development philosophy of Brilliance Auto and is especially made for business personnel. The development pattern of Zhonghua sedan set a brand new model in Chinese auto industry to utilize the global resources and talents and international division of labor in the international arena, and she has become a typical sample of independent brand sedans in the contemporary Chinese auto industry.

  14. Rate-Distortion Auto-Encoders

    OpenAIRE

    Giraldo, Luis G. Sanchez; Principe, Jose C.

    2013-01-01

    A rekindled the interest in auto-encoder algorithms has been spurred by recent work on deep learning. Current efforts have been directed towards effective training of auto-encoder architectures with a large number of coding units. Here, we propose a learning algorithm for auto-encoders based on a rate-distortion objective that minimizes the mutual information between the inputs and the outputs of the auto-encoder subject to a fidelity constraint. The goal is to learn a representation that is ...

  15. AutoProof: Auto-active Functional Verification of Object-oriented Programs

    OpenAIRE

    Tschannen, Julian; Furia, Carlo A.; Nordio, Martin; Polikarpova, Nadia

    2015-01-01

    Auto-active verifiers provide a level of automation intermediate between fully automatic and interactive: users supply code with annotations as input while benefiting from a high level of automation in the back-end. This paper presents AutoProof, a state-of-the-art auto-active verifier for object-oriented sequential programs with complex functional specifications. AutoProof fully supports advanced object-oriented features and a powerful methodology for framing and class invariants, which make...

  16. AutoCAD自动化控制器中执行AutoCAD命令

    Institute of Scientific and Technical Information of China (English)

    邬昌明

    2001-01-01

    由于AutoCAD自动化(Automation)没有提供执行AutoCAD命令的方法,因此在利用自动化接口对AutoCAD进行二次开发时,不能直接执行AutoCAD软件自身提供的各种命令,本文提出了一种解决此问题的办法。

  17. Research on the Teaching Method of AutoCAD%AutoCAD教学方法研究

    Institute of Scientific and Technical Information of China (English)

    王梅

    2012-01-01

    培养学生熟练地使用AutoCAD软件是一项重要的教学内容.结合在AutoCAD课程的教学实践,运用多种教学手段,创设合适的教学环境,激发学生对AutoCAD图形设计的兴趣,多方面结合进行AutoCAD教学.

  18. 关于切换回归的集成模糊聚类算法 GFC%An Integrated Fuzzy Clustering Algorithm GFC for Switching Regressions

    Institute of Scientific and Technical Information of China (English)

    王士同; 江海峰; 陆宏钧

    2002-01-01

    已经有多个方法可用于解决切换回归问题.根据所提出的基于Newton引力定理的引力聚类算法GC,结合模糊聚类算法,进一步提出了新的集成模糊聚类算法 GFC.理论分析表明GFC 能收敛到局部最小.实验结果表明GFC在解决切换回归问题时,比标准模糊聚类算法更有效,特别在收敛速度方面.%In order to solve switching regression problems, many approaches have been investigated. In this paper, anintegrated fuzzy clustering algorithm GFC that combines gravity-based clustering algorithm GC with fuzzy clustering is presented. GC, as a new hard clustering algorithm presented here, is based on the well-known Newton's Gravity Law. The theoretic analysis shows that GFC can conve rge to a local minimum of the object function. Experimental results show that GFC for switching regression problems has better performance than standard fuzzy clustering algorithms, especially in terms of convergence speed.

  19. Quantile Regression Methods

    DEFF Research Database (Denmark)

    Fitzenberger, Bernd; Wilke, Ralf Andreas

    2015-01-01

    Quantile regression is emerging as a popular statistical approach, which complements the estimation of conditional mean models. While the latter only focuses on one aspect of the conditional distribution of the dependent variable, the mean, quantile regression provides more detailed insights by m...... treatment of the topic is based on the perspective of applied researchers using quantile regression in their empirical work....

  20. Variational Recurrent Auto-Encoders

    OpenAIRE

    Fabius, Otto; van Amersfoort, Joost R.

    2014-01-01

    In this paper we propose a model that combines the strengths of RNNs and SGVB: the Variational Recurrent Auto-Encoder (VRAE). Such a model can be used for efficient, large scale unsupervised learning on time series data, mapping the time series data to a latent vector representation. The model is generative, such that data can be generated from samples of the latent space. An important contribution of this work is that the model can make use of unlabeled data in order to facilitate supervised...

  1. AutoFocus Framework Documentation

    OpenAIRE

    Gaspar, Graça; Morgado, Luís; Neves, Pedro

    2009-01-01

    The work presented in this document is part of the project "AutoFocus: Adaptive Self-Improving Multi-Agent Systems" that is being developed at the research unit LabMAg, which objective is the implementation of multi-agent systems based on autonomous entities capable of self-optimized and adaptive behaviors. The notion of autonomic computation, like other notions that also imply pro-active computation, is based on autonomous entities that actively work to achieve their objectives and have t...

  2. Regression for economics

    CERN Document Server

    Naghshpour, Shahdad

    2012-01-01

    Regression analysis is the most commonly used statistical method in the world. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without a mastery of sophisticated mathematical concepts. This book provides the foundation and will help demystify regression analysis using examples from economics and with real data to show the applications of the method. T

  3. Gaussian Process Quantile Regression using Expectation Propagation

    OpenAIRE

    Boukouvalas, Alexis; Barillec, Remi; Cornford, Dan

    2012-01-01

    Direct quantile regression involves estimating a given quantile of a response variable as a function of input variables. We present a new framework for direct quantile regression where a Gaussian process model is learned, minimising the expected tilted loss function. The integration required in learning is not analytically tractable so to speed up the learning we employ the Expectation Propagation algorithm. We describe how this work relates to other quantile regression methods and apply the ...

  4. Functional linear regression via canonical analysis

    CERN Document Server

    He, Guozhong; Wang, Jane-Ling; Yang, Wenjing; 10.3150/09-BEJ228

    2011-01-01

    We study regression models for the situation where both dependent and independent variables are square-integrable stochastic processes. Questions concerning the definition and existence of the corresponding functional linear regression models and some basic properties are explored for this situation. We derive a representation of the regression parameter function in terms of the canonical components of the processes involved. This representation establishes a connection between functional regression and functional canonical analysis and suggests alternative approaches for the implementation of functional linear regression analysis. A specific procedure for the estimation of the regression parameter function using canonical expansions is proposed and compared with an established functional principal component regression approach. As an example of an application, we present an analysis of mortality data for cohorts of medflies, obtained in experimental studies of aging and longevity.

  5. AutoCAD 2015 and AutoCAD LT 2015 bible

    CERN Document Server

    Finkelstein, Ellen

    2014-01-01

    The perfect reference for all AutoCAD users AutoCAD 2015 and AutoCAD LT 2015 Bible is the book you want to have close at hand to answer those day-to-day questions about this industry-leading software. Author and Autodesk University instructor Ellen Finkelstein guides readers through AutoCAD 2015 and AutoCAD LT 2015 with clear, easy-to-understand instruction and hands-on tutorials that allow even total beginners to create a design on their very first day. Although simple and fundamental enough to be used by those new to CAD, the book is so comprehensive that even Autodesk power u

  6. Query auto completion in information retrieval

    NARCIS (Netherlands)

    Fei Cai

    2016-01-01

    Query auto completion is an important feature embedded into today's search engines. It can help users formulate queries which other people have searched for when he/she finishes typing the query prefix. Today's most sophisticated query auto completion approaches are based on the collected query logs

  7. An Auto ranging Data Converter Implementation in FPGA

    Directory of Open Access Journals (Sweden)

    Jithin Krishnan

    2013-06-01

    Full Text Available A novel project is being presented here for implementation an auto ranging analog to digital converter for biomedical applications completely inside an FPGA - i.e. an all-digital analog to digital (A/D converter system. The only analog part is the auto ranging circuitry and an RC Integrator outside FPGA. The system outputs 24 bits and features a sigma delta ADC of 16 bits resolution, a range detection unit with 7 bits and a sign bit for polarity detection. The analog part of the modulator is done utilizing the LVDS transceiver in the FPGA making it a real digital one. The digital section of sigma delta ADC containing the decimation filter banks is done in a cascaded filter structure form including a CIC decimation filter, droop compensation and half-band filters. The top level module was coded using VHDL and the simulation was carried out with ModelSim and MATLAB.

  8. Canonical variate regression.

    Science.gov (United States)

    Luo, Chongliang; Liu, Jin; Dey, Dipak K; Chen, Kun

    2016-07-01

    In many fields, multi-view datasets, measuring multiple distinct but interrelated sets of characteristics on the same set of subjects, together with data on certain outcomes or phenotypes, are routinely collected. The objective in such a problem is often two-fold: both to explore the association structures of multiple sets of measurements and to develop a parsimonious model for predicting the future outcomes. We study a unified canonical variate regression framework to tackle the two problems simultaneously. The proposed criterion integrates multiple canonical correlation analysis with predictive modeling, balancing between the association strength of the canonical variates and their joint predictive power on the outcomes. Moreover, the proposed criterion seeks multiple sets of canonical variates simultaneously to enable the examination of their joint effects on the outcomes, and is able to handle multivariate and non-Gaussian outcomes. An efficient algorithm based on variable splitting and Lagrangian multipliers is proposed. Simulation studies show the superior performance of the proposed approach. We demonstrate the effectiveness of the proposed approach in an [Formula: see text] intercross mice study and an alcohol dependence study. PMID:26861909

  9. AutoWARN - Automatic Support for the Weather Warning Service at Deutscher Wetterdienst

    Science.gov (United States)

    Reichert, B. K.

    2009-09-01

    The AutoWARN system integrates various meteorological products in an automated warning process with manual monitoring and decision possibilities for the forecaster. It exploits and combines observations, radar products, nowcasting products, statistical forecast products, and model forecasts of Numerical Weather Prediction. It generates and permanently updates forecast-time dependant automatic warning status proposals. The forecaster manually controls and, if necessary, modifies the automatic proposals. The generated warning status is exported to an external system outside of AutoWARN for the generation of textual and graphical warning products for customers. The development of the AutoWARN system was part of the future strategy 2006 to 2015 of the Deutscher Wetterdienst (DWD); headwords within this strategy are centralization and automation of the entire warning process. On the basis of the formerly developed system AutoMON (Automatic Monitoring and Alerting of significant Weather Events), AutoWARN is fully integrated into the meteorological workstation NinJo and is currently being evaluated by the forecasters of DWD. The project was finished in spring 2009. The presentation will focus on illuminating the concept of AutoWARN and demonstrating the currently running pre-operational version of the system at the National Warning Centre (NWC) of DWD.

  10. AutoCAD 2008 and AutoCAD LT 2008 Bible

    CERN Document Server

    Finkelstein, Ellen

    2011-01-01

    "Whether you're new to AutoCAD or a veteran, you will undoubtedly find this book to be an excellent resource."-- Abhi Singh, AutoCAD Product Manager, Autodesk, Inc.Here's the book that makes AutoCAD approachableEven the people at Autodesk look to Ellen Finkelstein for AutoCAD training, so who better to teach you about AutoCAD 2008? This comprehensive guide brings veterans up to speed on AutoCAD updates and takes novices from the basics to programming in AutoLISP(r) and VBA. Every feature is covered in a logical order, and with the Quick Start chapter, you'll be creating drawings on your very f

  11. AutoPyFactory: A Scalable Flexible Pilot Factory Implementation

    Science.gov (United States)

    Caballero, J.; Hover, J.; Love, P.; Stewart, G. A.

    2012-12-01

    The ATLAS experiment at the CERN LHC is one of the largest users of grid computing infrastructure, which is a central part of the experiment's computing operations. Considerable efforts have been made to use grid technology in the most efficient and effective way, including the use of a pilot job based workload management framework. In this model the experiment submits ‘pilot’ jobs to sites without payload. When these jobs begin to run they contact a central service to pick-up a real payload to execute. The first generation of pilot factories were usually specific to a single Virtual Organization (VO), and were bound to the particular architecture of that VO's distributed processing. A second generation provides factories which are more flexible, not tied to any particular VO, and provide new and improved features such as monitoring, logging, profiling, etc. In this paper we describe this key part of the ATLAS pilot architecture, a second generation pilot factory, AutoPyFactory. AutoPyFactory has a modular design and is highly configurable. It is able to send different types of pilots to sites and exploit different submission mechanisms and queue characteristics. It is tightly integrated with the PanDA job submission framework, coupling pilot flow to the amount of work the site has to run. It gathers information from many sources in order to correctly configure itself for a site and its decision logic can easily be updated. Integrated into AutoPyFactory is a flexible system for delivering both generic and specific job wrappers which can perform many useful actions before starting to run end-user scientific applications, e.g., validation of the middleware, node profiling and diagnostics, and monitoring. AutoPyFactory also has a robust monitoring system that has been invaluable in establishing a reliable pilot factory service for ATLAS.

  12. AutoPyFactory: A Scalable Flexible Pilot Factory Implementation

    International Nuclear Information System (INIS)

    The ATLAS experiment at the CERN LHC is one of the largest users of grid computing infrastructure, which is a central part of the experiment's computing operations. Considerable efforts have been made to use grid technology in the most efficient and effective way, including the use of a pilot job based workload management framework. In this model the experiment submits ‘pilot’ jobs to sites without payload. When these jobs begin to run they contact a central service to pick-up a real payload to execute. The first generation of pilot factories were usually specific to a single Virtual Organization (VO), and were bound to the particular architecture of that VO's distributed processing. A second generation provides factories which are more flexible, not tied to any particular VO, and provide new and improved features such as monitoring, logging, profiling, etc. In this paper we describe this key part of the ATLAS pilot architecture, a second generation pilot factory, AutoPyFactory. AutoPyFactory has a modular design and is highly configurable. It is able to send different types of pilots to sites and exploit different submission mechanisms and queue characteristics. It is tightly integrated with the PanDA job submission framework, coupling pilot flow to the amount of work the site has to run. It gathers information from many sources in order to correctly configure itself for a site and its decision logic can easily be updated. Integrated into AutoPyFactory is a flexible system for delivering both generic and specific job wrappers which can perform many useful actions before starting to run end-user scientific applications, e.g., validation of the middleware, node profiling and diagnostics, and monitoring. AutoPyFactory also has a robust monitoring system that has been invaluable in establishing a reliable pilot factory service for ATLAS.

  13. Fisher and Regression

    OpenAIRE

    Aldrich, John

    2005-01-01

    In 1922 R. A. Fisher introduced the modern regression model, synthesizing the regression theory of Pearson and Yule and the least squares theory of Gauss. The innovation was based on Fisher’s realization that the distribution associated with the regression coefficient was unaffected by the distribution of X. Subsequently Fisher interpreted the fixed X assumption in terms of his notion of ancillarity. This paper considers these developments against the background of the development of statisti...

  14. Visualisation of Regression Trees

    OpenAIRE

    Brunsdon, Chris

    2007-01-01

    he regression tree [1] has been used as a tool for exploring multivariate data sets for some time. As in multiple linear regression, the technique is applied to a data set consisting of a contin- uous response variable y and a set of predictor variables { x 1 ,x 2 ,...,x k } which may be continuous or categorical. However, instead of modelling y as a linear function of the predictors, regression trees model y as a series of ...

  15. Understanding logistic regression analysis

    OpenAIRE

    Sperandei, Sandro

    2014-01-01

    Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the association of all variables together. In this article, we explain the logistic regression procedure using ex...

  16. We Ran One Regression.

    OpenAIRE

    David F. Hendry; Krolzig, Hans Martin

    2004-01-01

    The controversy over the selection of "growth regressions" was precipitated by some remarkably numerous "estimation" strategies, including two million regressions by Sala-i-Martin [American Economic Review (1997b) Vol. 87, pp. 178-183]. Only one regression is really needed, namely the general unrestricted model, appropriately reduced to a parsimonious encompassing, congruent representation. We corroborate the findings of Hoover and Perez [Oxford Bulletin of Economics and Statistics (2004) Vol...

  17. Applied linear regression

    CERN Document Server

    Weisberg, Sanford

    2005-01-01

    Master linear regression techniques with a new edition of a classic text Reviews of the Second Edition: ""I found it enjoyable reading and so full of interesting material that even the well-informed reader will probably find something new . . . a necessity for all of those who do linear regression."" -Technometrics, February 1987 ""Overall, I feel that the book is a valuable addition to the now considerable list of texts on applied linear regression. It should be a strong contender as the leading text for a first serious course in regression analysis."" -American Scientist, May-June 1987

  18. Introduction to regression graphics

    CERN Document Server

    Cook, R Dennis

    2009-01-01

    Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be utilized as the main computer program in a linear regression course. The accompanying disks, for both Macintosh and Windows computers, contain the R-code and Xlisp-Stat. An Instructor's Manual presenting detailed solutions to all the problems in the book is ava

  19. Flexible survival regression modelling

    DEFF Research Database (Denmark)

    Cortese, Giuliana; Scheike, Thomas H; Martinussen, Torben

    2009-01-01

    time-varying effects. The introduced models are all applied to data on breast cancer from the Norwegian cancer registry, and these analyses clearly reveal the shortcomings of Cox's regression model and the need for other supplementary analyses with models such as those we present here.......Regression analysis of survival data, and more generally event history data, is typically based on Cox's regression model. We here review some recent methodology, focusing on the limitations of Cox's regression model. The key limitation is that the model is not well suited to represent time...

  20. Aerial camera auto focusing system

    Science.gov (United States)

    Wang, Xuan; Lan, Gongpu; Gao, Xiaodong; Liang, Wei

    2012-10-01

    Before the aerial photographic task, the cameras focusing work should be performed at first to compensate the defocus caused by the changes of the temperature, pressure etc. A new method of aerial camera auto focusing is proposed through traditional photoelectric self-collimation combined with image processing method. Firstly, the basic principles of optical self-collimation and image processing are introduced. Secondly, the limitations of the two are illustrated and the benefits of the new method are detailed. Then the basic principle, the system composition and the implementation of this new method are presented. Finally, the data collection platform is set up reasonably and the focus evaluation function curve is draw. The results showed that: the method can be used in the Aerial camera focusing field, adapt to the aviation equipment trends of miniaturization and lightweight .This paper is helpful to the further work of accurate and automatic focusing.

  1. The Auto-Gopher Deep Drill

    Science.gov (United States)

    Badescu, Mircea

    2014-01-01

    Subsurface penetration by coring, drilling or abrading is of great importance for a large number of space and earth applications. An Ultrasonic/Sonic Drill/Corer (USDC) has been in development at JPL's Nondestructive Evaluation and Advanced Actuators (NDEAA) lab as an adaptable tool for many of these applications. The USDC uses a novel drive mechanism to transform the high frequency ultrasonic or sonic vibrations of the tip of a horn into a lower frequency sonic hammering of a drill bit through an intermediate free-flying mass. The USDC device idea has been implemented at various scales from handheld drills to large diameter coring devices. A series of computer programs that model the function and performance of the USDC device were developed and were later integrated into an automated modeling package. The USDC has also evolved from a purely hammering drill to a rotary hammer drill as the design requirements increased form small diameter shallow drilling to large diameter deep coring. A synthesis of the Auto-Gopher development is presented in this paper.

  2. Ace Auto's After-sale Adds Advantages

    Institute of Scientific and Technical Information of China (English)

    Yan Manman

    2009-01-01

    @@ In the auto market,consumers often asked a question why the same car in the European and American market is cheaper than that in China.The key to this question lies in the difference of profit chains between European & American market and Chinese market.In the mature European or American market,the portion of profit from auto sales accounting for the total profit is comparatively small,and quite a large share of profit derives from the auto's after-sale service market.

  3. Generalizacija linija i AutoCAD Map

    OpenAIRE

    Vučetić, Nada; Lapaine, Miljenko

    2001-01-01

    The paper offers the results of original research made on the application of AutoCAD Map in line generalisation. The differences and similarities have been found out between the Douglas-Peucker method and the method of line simplification that is incorporated in AutoCAD Map. There have been also the inaccuracies found out in AutoCAD Map manual relating to the issues of buffer width and tolerance, and the line width before and after simplification. The paper gives recommendations about pseudo ...

  4. Line Generalization and AutoCAD Map

    OpenAIRE

    Nada Vučetić; Miljenko Lapaine

    2001-01-01

    The paper offers the results of original research made on the application of AutoCAD Map in line generalisation. The differences and similarities have been found out between the Douglas-Peucker method and the method of line simplification that is incorporated in AutoCAD Map. There have been also the inaccuracies found out in AutoCAD Map manual relating to the issues of buffer width and tolerance, and the line width before and after simplification. The paper gives recommendations about pseudo ...

  5. Bulimia e auto-mutilações

    OpenAIRE

    Miranda, Gilda Cristina Nunes de Paiva

    2012-01-01

    Diversos estudos sugerem uma associação entre Distúrbios Alimentares e Auto-Mutilações. A sua maioria foca principalmente a Anorexia Nervosa, deixando um vazio no que diz respeito à Bulimia Nervosa. Por outro lado, são várias as opiniões que defendem que as Auto-Mutilações ocorrem apenas em doentes com Distúrbio de Personalidade Borderline. Este trabalho de revisão visa preencher a lacuna no que diz respeito à ligação ente a Bulimia Nervosa e Comportamentos Auto-Lesivos, incluindo Comportamen...

  6. Analisis Perancangan Sistem Informasi Penjualan pada PT. Speedline Auto Showroom

    OpenAIRE

    Hutabarat, Elfina Yunita

    2015-01-01

    This research was conductedatPT. SpeedlineAutoShowroomwhichaims to determinewhether thesalesinformationsystemonPT. SpeedlineAutoShowroomisoperating effectivelyandefficiently. Thisresearchis thedata sourcedocumentsrelated to thesale ofthe system. Collecting datathrough interviews, document studyonPT. SpeedlineAutoShowroom.The data collectedwere analyzedwithdescriptivequalitativetechniques. From theresults ofthis study indicatethat thesales information systemonPT. SpeedlineAutoShowro...

  7. Spontaneous regression of osteochondromas

    Energy Technology Data Exchange (ETDEWEB)

    Hoshi, Manabu; Takami, Masatsugu; Hashimoto, Ryouji; Okamoto, Takashi; Yanagida, Ikuhisa; Matsumura, Akira; Noguchi, Kazuko [Yodogawa Christian Hospital, Department of Orthopaedic Surgery, Osaka (Japan)

    2007-06-15

    Spontaneous regression of an osteochondroma is an infrequent event. In this report, two cases with spontaneous regression of osteochondromas are presented. The first case was a solitary osteochondroma of the pedunculated type involving the right proximal humerus in a 7-year-old boy. This lesion resolved over 15 months of observation. The second case was a 3-year-old girl with multiple osteochondromatosis, in whom sessile osteochondromas of the right tibia and left fibula regressed over 33 months.The mechanism of this phenomenon is discussed with a review of previous reports. Regarding treatment, careful observation may be acceptable for typical osteochondromas, especially in young children. (orig.)

  8. Applied logistic regression

    CERN Document Server

    Hosmer, David W; Sturdivant, Rodney X

    2013-01-01

     A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-

  9. Applied linear regression

    CERN Document Server

    Weisberg, Sanford

    2013-01-01

    Praise for the Third Edition ""...this is an excellent book which could easily be used as a course text...""-International Statistical Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples. Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illus

  10. AutoCAD的应用小技巧

    Institute of Scientific and Technical Information of China (English)

    侯红松

    2011-01-01

    通过对AutoCAD多年的使用及总结,摸索出AutoCAD使用中的几点应用小技巧.本文主要介绍了AutoCAD中倒角及圆角的处理、AutoCAD表格制作、在Word文档中插入AutoCAD图形、AutoCAD图形的打印技巧及AutoCAD选择技巧六种应用技巧.

  11. AutoCAD 2014 review for certification official certification preparation

    CERN Document Server

    ASCENT center for technical knowledge

    2014-01-01

    The AutoCAD® 2014 Review for Certification book is intended for users of AutoCAD® preparing to complete the AutoCAD 2014 Certified Professional exam. This book contains a collection of relevant instructional topics, practice exercises, and review questions from the Autodesk Official Training Guides (AOTG) from ASCENT - Center for Technical Knowledge pertaining specifically to the Certified Professional exam topics and objectives. This book is intended for experienced users of AutoCAD in preparation for certification. New users of AutoCAD should refer to the AOTG training guides from ASCENT, such as AutoCAD/AutoCAD LT 2014 Fundamentals, for more comprehensive instruction.

  12. Development of ATSR (Auto Thermal Steam Reformer)

    International Nuclear Information System (INIS)

    'Full text:' Auto-thermal reformers are used popularly for fuel cell vehicle because they are compact and can start up quickly. On the other hand, steam reformers are used for stationary fuel cell power plant because they are good thermal efficiency. While, there are many cases using the auto- thermal reformer for stationary use with expectation of cost reduction in USA, as well. However, they are still insufficient for its durability, compactness and cost. We have been developing the new type of fuel processing system that is auto-thermal steam reformer (ATSR), which is hybrid of a conventional steam reformer (STR) and a conventional auto-thermal reformer (ATR). In this study, some proto-type of ATSR for field test were designed, tried manufacturing and tested performance and durability. And we have tried to operate with fuel cell stack to evaluate the system interface performance, that is, operability and controllability. (author)

  13. Range-Based Auto-Focus Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Maracel Systems and Software Technologies, LLC proposes a revolutionary Range-Based Auto Focus (RBAF) system that will combine externally input range, such as might...

  14. AutoCAD 2013 and AutoCAD LT 2013 bible

    CERN Document Server

    Finkelstein, Ellen

    2012-01-01

    The bestselling guide to AutoCAD, fully updated for the 2013 version AutoCAD, the number one architectural drawing software, can be challenging to learn. This comprehensive guide has sold more than 160,000 copies in previous editions and is the go-to resource for architects, engineers, drafters, interior designers, and space planners who need to learn and use AutoCAD and AutoCAD LT. From the basics of creating drawings and using commands to 2D and 3D drawing techniques, using layers, rendering, and customizing the program, this book covers it all. A Quick Start guide allows eve

  15. AutoMap & AutoLink: Tools for Communicating Complex & DynamicData-Structures using MPI

    OpenAIRE

    Goujon, Delphine; Michel, Martial; Peeters, Jasper; Devaney, Judith Ellen

    1998-01-01

    This article describes two software tools, AutoMap and AutoLink, that facilitate the use of data-structures in MPI. AutoMap is a program that parses a file of user-defined data-structures and generates new MPI types out of basic and previously defined MPI data-types. Our software tool automatically handles specialized error checking related to memory mapping. AutoLink is an MPI library that allows the transfert of complex, dynimacally linked, and possibly heterogeneous structures through MPI....

  16. George: Gaussian Process regression

    Science.gov (United States)

    Foreman-Mackey, Daniel

    2015-11-01

    George is a fast and flexible library, implemented in C++ with Python bindings, for Gaussian Process regression useful for accounting for correlated noise in astronomical datasets, including those for transiting exoplanet discovery and characterization and stellar population modeling.

  17. NDRC Issued Opinions to Regulate Auto Industry

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    @@ In view of the surplus of China's auto in dustry production capacity, and the situation may get intensified, the National Development and Reform Commission(NDRC) recently issued the implementation opinions for auto industry to deal with the surplus of production capacity, and expedite the structural adjustment based on the relevant dispose of the State Council's notice about expediting the structural adjustment of the industries with surplus production capacity.

  18. PLC Based Hydraulic Auto Ladle System

    OpenAIRE

    Amogh Tayade; Anuja Chitre

    2014-01-01

    In this paper we have implemented a PLC based Hydraulic Auto Ladle System for Casting Department of Victory Precisions Pvt. Ltd. Chakan, Pune. This project work presents the study and design of PLC based Hydraulic Auto Ladle System. Aluminium pouring is the key process in Casting and Forging industry. Different products are manufactured by the company for automobile sector using aluminium. Programmable Logic Controller (PLC) is used for the automation of pouring process. Au...

  19. Auto-associative nanoelectronic neural network

    International Nuclear Information System (INIS)

    In this paper, an auto-associative neural network using single-electron tunneling (SET) devices is proposed and simulated at low temperature. The nanoelectronic auto-associative network is able to converge to a stable state, previously stored during training. The recognition of the pattern involves decreasing the energy of the input state until it achieves a point of local minimum energy, which corresponds to one of the stored patterns

  20. AutoCAD-To-NASTRAN Translator Program

    Science.gov (United States)

    Jones, A.

    1989-01-01

    Program facilitates creation of finite-element mathematical models from geometric entities. AutoCAD to NASTRAN translator (ACTON) computer program developed to facilitate quick generation of small finite-element mathematical models for use with NASTRAN finite-element modeling program. Reads geometric data of drawing from Data Exchange File (DXF) used in AutoCAD and other PC-based drafting programs. Written in Microsoft Quick-Basic (Version 2.0).

  1. Computing Mass Properties From AutoCAD

    Science.gov (United States)

    Jones, A.

    1990-01-01

    Mass properties of structures computed from data in drawings. AutoCAD to Mass Properties (ACTOMP) computer program developed to facilitate quick calculations of mass properties of structures containing many simple elements in such complex configurations as trusses or sheet-metal containers. Mathematically modeled in AutoCAD or compatible computer-aided design (CAD) system in minutes by use of three-dimensional elements. Written in Microsoft Quick-Basic (Version 2.0).

  2. Auto-associative nanoelectronic neural network

    Energy Technology Data Exchange (ETDEWEB)

    Nogueira, C. P. S. M.; Guimarães, J. G. [Departamento de Engenharia Elétrica - Laboratório de Dispositivos e Circuito Integrado, Universidade de Brasília, CP 4386, CEP 70904-970 Brasília DF (Brazil)

    2014-05-15

    In this paper, an auto-associative neural network using single-electron tunneling (SET) devices is proposed and simulated at low temperature. The nanoelectronic auto-associative network is able to converge to a stable state, previously stored during training. The recognition of the pattern involves decreasing the energy of the input state until it achieves a point of local minimum energy, which corresponds to one of the stored patterns.

  3. Distributed multinomial regression

    OpenAIRE

    Taddy, Matt

    2015-01-01

    This article introduces a model-based approach to distributed computing for multinomial logistic (softmax) regression. We treat counts for each response category as independent Poisson regressions via plug-in estimates for fixed effects shared across categories. The work is driven by the high-dimensional-response multinomial models that are used in analysis of a large number of random counts. Our motivating applications are in text analysis, where documents are tokenized and the token counts ...

  4. Sparse Multivariate Factor Regression

    OpenAIRE

    Kharratzadeh, Milad; Coates, Mark

    2015-01-01

    We consider the problem of multivariate regression in a setting where the relevant predictors could be shared among different responses. We propose an algorithm which decomposes the coefficient matrix into the product of a long matrix and a wide matrix, with an elastic net penalty on the former and an $\\ell_1$ penalty on the latter. The first matrix linearly transforms the predictors to a set of latent factors, and the second one regresses the responses on these factors. Our algorithm simulta...

  5. On best subset regression

    OpenAIRE

    Xiong, Shifeng

    2011-01-01

    In this paper we discuss the variable selection method from \\ell0-norm constrained regression, which is equivalent to the problem of finding the best subset of a fixed size. Our study focuses on two aspects, consistency and computation. We prove that the sparse estimator from such a method can retain all of the important variables asymptotically for even exponentially growing dimensionality under regularity conditions. This indicates that the best subset regression method can efficiently shri...

  6. RFID and Auto-ID in planning and logistics

    CERN Document Server

    Jones, Erick C

    2011-01-01

    As RFID technology is becoming increasingly popular, the need has arisen to address the challenges and approaches to successful implementation. RFID and Auto-ID in Planning and Logistics: A Practical Guide for Military UID Applications presents the concepts for students, military personnel and contractors, and corporate managers to learn about RFID and other automatic information capture technologies, and their integration into planning and logistics functions. The text includes comparisons of RFID with technologies such as bar codes, satellite tags, and global positioning systems and provides

  7. Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features

    DEFF Research Database (Denmark)

    Andreasen, Daniel; Morgenthaler Edmund, Jens; Zografos, Vasileios;

    2016-01-01

    . Furthermore, we use the concept of auto-context by sequentially training a number of classification forests to create and improve context features, which are finally used to train a regression forest for pCT prediction. We evaluate the pCT quality in terms of the voxel-wise error and the radiologic accuracy...

  8. Regression versus No Regression in the Autistic Disorder: Developmental Trajectories

    Science.gov (United States)

    Bernabei, P.; Cerquiglini, A.; Cortesi, F.; D' Ardia, C.

    2007-01-01

    Developmental regression is a complex phenomenon which occurs in 20-49% of the autistic population. Aim of the study was to assess possible differences in the development of regressed and non-regressed autistic preschoolers. We longitudinally studied 40 autistic children (18 regressed, 22 non-regressed) aged 2-6 years. The following developmental…

  9. New perspectives on auto propane

    International Nuclear Information System (INIS)

    In spite of the high level of propane use in vehicles in North America (relative to the use of compressed natural gas (CNG) or methanol), the alternate-fuel research and development activities of original equipment manufacturers (OEMs) are focusing on methanol, CNG, and electric vehicles. If OEM indifference to propane continues, propane vehicles will continue to be available only in after-market conversions, denying propane the benefits of OEM mass-production economics, quality control, retail distribution, and other factors. Recent developments in auto propane are reported which should be considered by OEMs and policymakers to allow propane to enter the mass-scale motor vehicle market. Propane and the liquefied petroleum gas (LPG) mix used as a motor vehicle fuel are often regarded as just a byproduct of natural gas production and oil refining, giving the impression that propane/LPG will not be available in sufficient quantities to support a mass market. It is shown that LPG supply is market-responsive and that over 20 billion gal of new supply could be made available from North American sources by the year 2000 and over 27 billion gal by 2005, sufficient to supply 12.5% of the projected North American vehicle fleet in 2005. The new supply would come from incremental expansion of existing production, displacement of LPG from lower-value uses, and LPG synthesis. The environmental performance of propane/LPG engines is also compared to that of engines running on gasoline, natural gas, and methanol. Advantages of LPG over gasoline include lower carbon content and lower CO emissions, and advantages over CNG arise from the high greenhouse gas activity and long life of methane. 12 figs

  10. “教、学、做”一体化教学在《汽车电器设备维修》课程中的应用%The Application of Integrated Pedagogical Model-Teaching, Learning and Doing in Class of Maintenance and Repair of Auto Electrical Device

    Institute of Scientific and Technical Information of China (English)

    邱翠榕

    2012-01-01

    To tackle the separation between theory and practice existing in the class of maintenance and repair ot auto electrical device, the paper proposes taking the competence-based education principle as guide, identifying the need of job market and developing a comprehensive modular-based course which integrates teaching, learning and do- ing. The experiment shows that with the integrated pedagogical model, students can quickly acquire the relevant knowl- edge and skills.%针对当前汽车检测与维修技术专业课程教学中的理论与实践分离问题,结合现代职业教育体系以能力为本位的培养思路,开发出紧贴汽车行业人才需求变化的汽车机电维修的汽车电器综合化模块课程,采用教学做一体化教学方法,通过实践,效果显著,学生能较快掌握相关知识和技能操作。

  11. AutoCAD 2012 and AutoCAD LT 2012 Bible

    CERN Document Server

    Finkelstein, Ellen

    2011-01-01

    The latest version of this perennial favorite, in-depth, reference-tutorial This top-selling book has been updated by AutoCAD guru and author Ellen Finkelstein to provide you with the very latest coverage of both AutoCAD 2012 and AutoCAD LT 2012. It begins with a Quick Start tutorial, so you start creating right away. From there, the book covers so much in-depth material on AutoCAD that it is said that even Autodesk employees keep this comprehensive book at their desks. A DVD is included that features before-and-after drawings of all the tutorials and plenty of great examples from AutoCAD prof

  12. Minimax Regression Quantiles

    DEFF Research Database (Denmark)

    Bache, Stefan Holst

    A new and alternative quantile regression estimator is developed and it is shown that the estimator is root n-consistent and asymptotically normal. The estimator is based on a minimax ‘deviance function’ and has asymptotically equivalent properties to the usual quantile regression estimator. It is......, however, a different and therefore new estimator. It allows for both linear- and nonlinear model specifications. A simple algorithm for computing the estimates is proposed. It seems to work quite well in practice but whether it has theoretical justification is still an open question....

  13. Integrated evaluation of sand liqufaction based on generalized regression neural network%基于广义回归神经网络的砂土液化综合判别方法

    Institute of Scientific and Technical Information of China (English)

    范付松; 胡新丽; 李长冬; 朱志明

    2012-01-01

    This paper adopts standard method and Seed method separately to make liquefaction evaluation about saturated sands, based on large drill data in Xiamen. Then, using generalized regression neural network, taking the data that show different evaluated results as training samples and also test samples, we carry out the second evaluation of the remained drill data. The results show that the generalized regression neural network presents a good function and a high forecast precision. In addition, this integrated evaluation method can improve the precision of sand liquefaction of saturated sands, and provide reference for the research in sand liquefaction evaluation in other places.%基于厦门地区大量钻孔试验数据,分别采用规范法和Seed法对该区饱和砂土进行液化判别.然后选取二者判别结果相同的数据作为训练和测试样本,运用广义回归神经网络,对二者判别结果分歧的钻孔数据进行二次判别.结果表明:广义回归神经网络性能良好,预测准确度高.此外,这种综合判别方法也提高了饱和砂土液化判别的准确度,并为其他地区饱和砂土的液化判别研究提供借鉴和参考.

  14. Using AutoCAD to improve the visibility of the organizational technological design

    Directory of Open Access Journals (Sweden)

    Lebedeva Irina Mikhailovna

    2014-01-01

    Full Text Available The article describes the issue of increasing the visibility of technological solutions in organizational-technological design. The ability to visualize the main stages of building process technology contributes to organic integration of all the requirements. A special role for the harmonious perception is played by correct display of the lighting facilities, shadowing. Realistic shadows help to analyze the rooms’ insolation of the designed facility and the surrounding areas. We give a justification for the use of AutoCAD in order to automate the process of visualizing the results of organizational-technological design. The author describes the methods of obtaining realistic natural lighting in AutoCAD without significantly increasing the complexity of the process. Engineering companies in 46 % of cases use the software AutoCAD in order to create construction plans. AutoCAD has a variety of possibilities and is constantly evolving. Continuation is one of the benefits of this program. AutoCAD is unique in terms of customization, because, apart from instruction languages, it has two built-in programming languages: AutoLISP and VisualBasic. Because of these specific features AutoCAD allows to create any applications related to graphics implementation. Constant monitoring of lightning changes allows finding the appropriate in terms of aesthetics, ergonomics and insolation decisions on planning and associating a building or structure to the environment. Solar lighting is simulated by a combination of several directional lightning point sources. The author offers a brief description of the program algorithm, which allows automatically managing lighting settings and creating a file with a realistic visualization of the design solutions.

  15. Regression to Causality

    DEFF Research Database (Denmark)

    Bordacconi, Mats Joe; Larsen, Martin Vinæs

    2014-01-01

    Humans are fundamentally primed for making causal attributions based on correlations. This implies that researchers must be careful to present their results in a manner that inhibits unwarranted causal attribution. In this paper, we present the results of an experiment that suggests regression...... models should note carefully both their models’ identifying assumptions and which causal attributions can safely be concluded from their analysis....

  16. Multiple linear regression analysis

    Science.gov (United States)

    Edwards, T. R.

    1980-01-01

    Program rapidly selects best-suited set of coefficients. User supplies only vectors of independent and dependent data and specifies confidence level required. Program uses stepwise statistical procedure for relating minimal set of variables to set of observations; final regression contains only most statistically significant coefficients. Program is written in FORTRAN IV for batch execution and has been implemented on NOVA 1200.

  17. Bounded Gaussian process regression

    DEFF Research Database (Denmark)

    Jensen, Bjørn Sand; Nielsen, Jens Brehm; Larsen, Jan

    2013-01-01

    We extend the Gaussian process (GP) framework for bounded regression by introducing two bounded likelihood functions that model the noise on the dependent variable explicitly. This is fundamentally different from the implicit noise assumption in the previously suggested warped GP framework. We...

  18. AutoCAD platform customization user interface and beyond

    CERN Document Server

    Ambrosius, Lee

    2014-01-01

    Make AutoCAD your own with powerful personalization options Options for AutoCAD customization are typically the domain of administrators, but savvy users can perform their own customizations to personalize AutoCAD. Until recently, most users never thought to customize the AutoCAD platform to meet their specific needs, instead leaving it to administrators. If you are an AutoCAD user who wants to ramp up personalization options in your favorite software, AutoCAD Platform Customization: User Interface and Beyond is the perfect resource for you. Author Lee Ambrosius is recognized as a leader in Au

  19. AutoCAD Civil 3D - Survey

    OpenAIRE

    Luketić, Antonio; Padovan, Ivan

    2011-01-01

    AutoCAD Civil 3D je vrlo kompleksan i napredan program za geodeziju i građevinarstvo. Survey izbornik predstavlja mali dio tog softvera. U programu je sadržana mogućnost kreiranja vlastitih kodova kao i naredbi kojima možemo ubrzati vizualizaciju izmjerenih objekata. Njegovim korištenjem se znatno skraćuje vrijeme obrade podataka. Članak je napisan na temelju jednostavnog, ali korisnog primjera kojime smo željeli upoznati čitatelje s prilično nepoznatom aplikacijom koju nudi AutoCAD Civil 3D....

  20. Parallel auto-correlative statistics with VTK.

    Energy Technology Data Exchange (ETDEWEB)

    Pebay, Philippe Pierre [Kitware, France; Bennett, Janine Camille

    2013-08-01

    This report summarizes existing statistical engines in VTK and presents both the serial and parallel auto-correlative statistics engines. It is a sequel to [PT08, BPRT09b, PT09, BPT09, PT10] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, contingency, k-means, and order statistics engines. The ease of use of the new parallel auto-correlative statistics engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the autocorrelative statistics engine.

  1. Design and Field Implementation of Auto Tuned Virtual Instrumentation Corrosion Controller

    Science.gov (United States)

    Gopalakrishnan, J.; Agnihotri, Ganga; Deshpande, D. M.

    2016-06-01

    Corrosion in underground metallic pipeline leads to leakage which is hazardous when oil/natural gas is transported. Rate of corrosion in metal pipeline can be controlled by impressing dc current to the gas pipeline and thereby making metal pipeline to act as cathode of corrosion cell. Proportional integral controllers are used in impressed current cathodic protection application; tuning of proportional and integral constants of these controllers requires expertise. Step open, step close and relay tuning methods are compared; relay tuning provided better results for cathodic protection application. Ziegler-Nichols tuning formulas are used to select tuning parameters based on loop response. Virtual instrumentation is used for design, development, testing and field implementation of auto tuned PI controller. Proposed auto tuned proportional integral impressed current cathodic protection controller precisely controls corrosion in pipeline by selecting optimum proportional and integral constants. Controller effectiveness is cross verified using electrical resistance probe.

  2. Ridge Regression: A Regression Procedure for Analyzing Correlated Independent Variables.

    Science.gov (United States)

    Rakow, Ernest A.

    Ridge regression is presented as an analytic technique to be used when predictor variables in a multiple linear regression situation are highly correlated, a situation which may result in unstable regression coefficients and difficulties in interpretation. Ridge regression avoids the problem of selection of variables that may occur in stepwise…

  3. Subset selection in regression

    CERN Document Server

    Miller, Alan

    2002-01-01

    Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition promises to continue that tradition. The author has thoroughly updated each chapter, incorporated new material on recent developments, and included more examples and references. New in the Second Edition:A separate chapter on Bayesian methodsComplete revision of the chapter on estimationA major example from the field of near infrared spectroscopyMore emphasis on cross-validationGreater focus on bootstrappingStochastic algorithms for finding good subsets from large numbers of predictors when an exhaustive search is not feasible Software available on the Internet for implementing many of the algorithms presentedMore examplesSubset Selection in Regression, Second Edition remains dedicated to the techniques for fitting...

  4. Low rank Multivariate regression

    CERN Document Server

    Giraud, Christophe

    2010-01-01

    We consider in this paper the multivariate regression problem, when the target regression matrix $A$ is close to a low rank matrix. Our primary interest in on the practical case where the variance of the noise is unknown. Our main contribution is to propose in this setting a criterion to select among a family of low rank estimators and prove a non-asymptotic oracle inequality for the resulting estimator. We also investigate the easier case where the variance of the noise is known and outline that the penalties appearing in our criterions are minimal (in some sense). These penalties involve the expected value of the Ky-Fan quasi-norm of some random matrices. These quantities can be evaluated easily in practice and upper-bounds can be derived from recent results in random matrix theory.

  5. AutoCAD 2015 and AutoCAD LT 2015 essentials

    CERN Document Server

    Onstott, Scott

    2014-01-01

    Step-by-step instructions for the AutoCAD fundamentals AutoCAD 2015 Essentials contains 400 pages of full-color, comprehensive instruction on the world's top drafting and architecture software. This 2015 edition features architectural, manufacturing, and landscape architecture examples. And like previous editions, the detailed guide introduces core concepts using interactive tutorials and open-ended projects, which can be completed in any order, thanks to downloadable data sets (an especially useful feature for students and professionals studying for Autodesk AutoCAD certification). Unlike man

  6. AutoCAD 2012 and AutoCAD LT 2012 No Experience Required

    CERN Document Server

    Gladfelter, Donnie

    2011-01-01

    The perfect step-by-step introduction to Autodesk's powerful architectural design software With this essential guide, you'll learn how to plan, develop, document, and present a complete AutoCAD project by building a summer cabin from start to finish. You can follow each step sequentially or jump in at any point by downloading the drawing files from the book's companion web site. You'll also master all essential AutoCAD features, get a thorough grounding in the basics, learn the very latest industry standards and techniques, and quickly become productive with AutoCAD 2012.Features concise expla

  7. AutoDock4 and AutoDockTools4: Automated Docking with Selective Receptor Flexibility

    OpenAIRE

    Morris, Garrett M.; Huey, Ruth; Lindstrom, William; Sanner, Michel F.; Belew, Richard K.; Goodsell, David S.; Olson, Arthur J.

    2009-01-01

    We describe the testing and release of AutoDock4 and the accompanying graphical user interface AutoDockTools. AutoDock4 incorporates limited flexibility in the receptor. Several tests are reported here, including a redocking experiment with 188 diverse ligand-protein complexes and a cross-docking experiment using flexible sidechains in 87 HIV protease complexes. We also report its utility in analysis of covalently-bound ligands, using both a grid-based docking method and a modification of the...

  8. Nonparametric LAD Cointegrating Regression

    OpenAIRE

    Toshio Honda

    2011-01-01

    We deal with nonparametric estimation in a nonlinear cointegration model whose regressor and dependent variable can be contemporaneously correlated. The asymptotic properties of the Nadaraya-Watson estimator are already examined in the literature. In this paper, we consider nonparametric least absolute deviation (LAD) regression and derive the asymptotic distributions of the local constant and local linear estimators by appealing to the local time approach.

  9. Upper expectation parametric regression

    OpenAIRE

    Lin, Lu; Dong, Ping; Song, Yunquan; Zhu, Lixing

    2014-01-01

    Every observation may follow a distribution that is randomly selected in a class of distributions. It is called the distribution uncertainty. This is a fact acknowledged in some research fields such as financial risk measure. Thus, the classical expectation is not identifiable in general.In this paper, a distribution uncertainty is defined, and then an upper expectation regression is proposed, which can describe the relationship between extreme events and relevant covariates under the framewo...

  10. Sublinear expectation linear regression

    OpenAIRE

    Lin, Lu; Shi, Yufeng; Wang, Xin; Yang, Shuzhen

    2013-01-01

    Nonlinear expectation, including sublinear expectation as its special case, is a new and original framework of probability theory and has potential applications in some scientific fields, especially in finance risk measure and management. Under the nonlinear expectation framework, however, the related statistical models and statistical inferences have not yet been well established. The goal of this paper is to construct the sublinear expectation regression and investigate its statistical infe...

  11. Online Sparse Linear Regression

    OpenAIRE

    Foster, Dean; Kale, Satyen; Karloff, Howard

    2016-01-01

    We consider the online sparse linear regression problem, which is the problem of sequentially making predictions observing only a limited number of features in each round, to minimize regret with respect to the best sparse linear regressor, where prediction accuracy is measured by square loss. We give an inefficient algorithm that obtains regret bounded by $\\tilde{O}(\\sqrt{T})$ after $T$ prediction rounds. We complement this result by showing that no algorithm running in polynomial time per i...

  12. ON INTERVAL ESTIMATING REGRESSION

    Directory of Open Access Journals (Sweden)

    Marcin Michalak

    2014-06-01

    Full Text Available This paper presents a new look on the well-known nonparametric regression estimator – the Nadaraya-Watson kernel estimator. Though it was invented 50 years ago it still being applied in many fields. After these yearsfoundations of uncertainty theory – interval analysis – are joined with this estimator. The paper presents the background of Nadaraya-Watson kernel estimator together with the basis of interval analysis and shows the interval Nadaraya-Watson kernel estimator.

  13. Sparse Bilinear Logistic Regression

    OpenAIRE

    Shi, Jianing V.; Xu, Yangyang; Baraniuk, Richard G.

    2014-01-01

    In this paper, we introduce the concept of sparse bilinear logistic regression for decision problems involving explanatory variables that are two-dimensional matrices. Such problems are common in computer vision, brain-computer interfaces, style/content factorization, and parallel factor analysis. The underlying optimization problem is bi-convex; we study its solution and develop an efficient algorithm based on block coordinate descent. We provide a theoretical guarantee for global convergenc...

  14. TWO REGRESSION CREDIBILITY MODELS

    Directory of Open Access Journals (Sweden)

    Constanţa-Nicoleta BODEA

    2010-03-01

    Full Text Available In this communication we will discuss two regression credibility models from Non – Life Insurance Mathematics that can be solved by means of matrix theory. In the first regression credibility model, starting from a well-known representation formula of the inverse for a special class of matrices a risk premium will be calculated for a contract with risk parameter θ. In the next regression credibility model, we will obtain a credibility solution in the form of a linear combination of the individual estimate (based on the data of a particular state and the collective estimate (based on aggregate USA data. To illustrate the solution with the properties mentioned above, we shall need the well-known representation theorem for a special class of matrices, the properties of the trace for a square matrix, the scalar product of two vectors, the norm with respect to a positive definite matrix given in advance and the complicated mathematical properties of conditional expectations and of conditional covariances.

  15. Does Income Level affect Saving Behaviour in Pakistan? An ARDL approach to co-integration for empirical assessment

    OpenAIRE

    Muhammad Farhan; Muhammad Akram

    2011-01-01

    The purpose this study was to identify the short-run and long-run relationship between income level and saving behaviour in Pakistan along with inflation and age dependency ratio by using co-integration and error correction model (ECM) for the period of 1985-2009. Auto regressive distributed lag (ARDL) model, bounds testing approach to co-integration were used to delineate the short- run and long –run relationship between income level and saving behavior. It is found that in short and long-ru...

  16. Unbalanced Regressions and the Predictive Equation

    DEFF Research Database (Denmark)

    Osterrieder, Daniela; Ventosa-Santaulària, Daniel; Vera-Valdés, J. Eduardo

    Predictive return regressions with persistent regressors are typically plagued by (asymptotically) biased/inconsistent estimates of the slope, non-standard or potentially even spurious statistical inference, and regression unbalancedness. We alleviate the problem of unbalancedness in the...... theoretical predictive equation by suggesting a data generating process, where returns are generated as linear functions of a lagged latent I(0) risk process. The observed predictor is a function of this latent I(0) process, but it is corrupted by a fractionally integrated noise. Such a process may arise due...... to aggregation or unexpected level shifts. In this setup, the practitioner estimates a misspecified, unbalanced, and endogenous predictive regression. We show that the OLS estimate of this regression is inconsistent, but standard inference is possible. To obtain a consistent slope estimate, we then...

  17. Bootstrapping the portmanteau tests in weak auto-regressive moving average models

    OpenAIRE

    Zhu, Ke

    2015-01-01

    This paper uses a random weighting (RW) method to bootstrap the critical values for the Ljung-Box/Monti portmanteau tests and weighted Ljung-Box/Monti portmanteau tests in weak ARMA models. Unlike the existing methods, no user-chosen parameter is needed to implement the RW method. As an application, these four tests are used to check the model adequacy in power GARCH models. Simulation evidence indicates that the weighted portmanteau tests have the power advantage over other existing tests...

  18. Oil Price Volatility and Economic Growth in Nigeria: a Vector Auto-Regression (VAR Approach

    Directory of Open Access Journals (Sweden)

    Edesiri Godsday Okoro

    2014-02-01

    Full Text Available The study examined oil price volatility and economic growth in Nigeria linking oil price volatility, crude oil prices, oil revenue and Gross Domestic Product. Using quarterly data sourced from the Central Bank of Nigeria (CBN Statistical Bulletin and World Bank Indicators (various issues spanning 1980-2010, a non‐linear model of oil price volatility and economic growth was estimated using the VAR technique. The study revealed that oil price volatility has significantly influenced the level of economic growth in Nigeria although; the result additionally indicated a negative relationship between the oil price volatility and the level of economic growth. Furthermore, the result also showed that the Nigerian economy survived on crude oil, to such extent that the country‘s budget is tied to particular price of crude oil. This is not a good sign for a developing economy, more so that the country relies almost entirely on revenue of the oil sector as a source of foreign exchange earnings. This therefore portends some dangers for the economic survival of Nigeria. It was recommended amongst others that there should be a strong need for policy makers to focus on policy that will strengthen/stabilize the economy with specific focus on alternative sources of government revenue. Finally, there should be reduction in monetization of crude oil receipts (fiscal discipline, aggressive saving of proceeds from oil booms in future in order to withstand vicissitudes of oil price volatility in future.

  19. Auto Regressive Moving Average (ARMA) Modeling Method for Gyro Random Noise Using a Robust Kalman Filter.

    Science.gov (United States)

    Huang, Lei

    2015-01-01

    To solve the problem in which the conventional ARMA modeling methods for gyro random noise require a large number of samples and converge slowly, an ARMA modeling method using a robust Kalman filtering is developed. The ARMA model parameters are employed as state arguments. Unknown time-varying estimators of observation noise are used to achieve the estimated mean and variance of the observation noise. Using the robust Kalman filtering, the ARMA model parameters are estimated accurately. The developed ARMA modeling method has the advantages of a rapid convergence and high accuracy. Thus, the required sample size is reduced. It can be applied to modeling applications for gyro random noise in which a fast and accurate ARMA modeling method is required. PMID:26437409

  20. Instantaneous Frequency Estimation Based On Time-Varying Auto Regressive Model And WAX-Kailath Algorithm

    OpenAIRE

    G. Ravi Shankar Reddy; Rameshwar Rao

    2014-01-01

    Time-varying autoregressive (TVAR) model is used for modeling non stationary signals, Instantaneous frequency (IF) and time-varying power spectral density are then extracted from the TVAR parameters. TVAR based Instantaneous frequency (IF) estimation has been shown to perform very well in realistic scenario when IF variation is quick, non-linear and has short data record. In TVAR modeling approach, the time-varying parameters are expanded as linear combinations of a set of basis functions .In...

  1. A Dynamic AutoRegressive Expectile for Time-Invariant Portfolio Protection Strategies

    OpenAIRE

    Hamidi, Benjamin; Maillet, Bertrand; Jean-luc PRIGENT

    2014-01-01

    "Constant proportion portfolio insurance" (CPPI) is nowadays one of the most popular techniques for portfolio insurance strategies. It simply consists of reallocating the risky part of a portfolio with respect to market conditions, via a leverage parameter - called the multiple - guaranteeing a predetermined floor. We propose to introduce a conditional time-varying multiple as an alternative to the standard unconditional CPPI method, directly linked to actual risk management problematics. Thi...

  2. An application of Auto-regressive (AR model in predicting Aeroelastic Effectsof Lekki Cable Stayed Bridge

    Directory of Open Access Journals (Sweden)

    Hassan Abba Musa

    2016-06-01

    Full Text Available In current practice, the predictive analysis of stochastic problems encompasses a variety of statistical techniques from modeling, machine, and data mining that analyse current and historical facts to make predictions about future. Therefore, this research uses an AR Model whose codes are incorporated in the MATLAB software to predict possible aero-elastic effects of Lekki Bridge based on its existing parametric data and the conditions around the bridge. It was seen that, the fluctuating components of the wind velocity as displayed by the fluctuant curve will result in the vibration of the structure, even strengthening the resonance effect of the structure. Therefore, it suggested that, the natural frequency of the bridge should be set aside far from system frequency considering direct parametric excitation of pedestrian or vehicular traffic speed.

  3. An application of Auto-regressive (AR) model in predicting Aeroelastic Effectsof Lekki Cable Stayed Bridge

    OpenAIRE

    Hassan Abba Musa; Dr. A. Mohammed

    2016-01-01

    In current practice, the predictive analysis of stochastic problems encompasses a variety of statistical techniques from modeling, machine, and data mining that analyse current and historical facts to make predictions about future. Therefore, this research uses an AR Model whose codes are incorporated in the MATLAB software to predict possible aero-elastic effects of Lekki Bridge based on its existing parametric data and the conditions around the bridge. It was seen that, the fluc...

  4. AutoCAD教学方法研究

    Institute of Scientific and Technical Information of China (English)

    王梅

    2012-01-01

    培养学生熟练地使用AutoCAD软件是一项重要的教学内容。结合在AutoCAD课程的教学实践,运用多种教学手段,创设合适的教学环境,激发学生对AutoCAD图形设计的兴趣,多方面结合进行AutoCAD教学。

  5. 浅谈工程软件AutoCAD

    Institute of Scientific and Technical Information of China (English)

    庄文强

    2015-01-01

    熟悉 AutoCAD 制图软件的基本操作,了解工程制图绘制的格式和基本要求,加强应用 AutoCAD 绘制二维工程图纸的能力,运用AutoCAD到实际工程项目中,让AutoCAD惠及更多的人。

  6. Scoring and Classifying with Gated Auto-encoders

    OpenAIRE

    Im, Daniel Jiwoong; Taylor, Graham W.

    2014-01-01

    Auto-encoders are perhaps the best-known non-probabilistic methods for representation learning. They are conceptually simple and easy to train. Recent theoretical work has shed light on their ability to capture manifold structure, and drawn connections to density modelling. This has motivated researchers to seek ways of auto-encoder scoring, which has furthered their use in classification. Gated auto-encoders (GAEs) are an interesting and flexible extension of auto-encoders which can learn tr...

  7. China FAW Participates in The China Auto International (Syria) Tour

    Institute of Scientific and Technical Information of China (English)

    Wu; Yan; Che; Qiang

    2006-01-01

      At the beginning of the new year,a new message was released from the Organization Committee of China Auto International Tour - China FAW Group Corporation and China League of Machinery Industry will jointly sponsor the 4nd China Auto International(Syria) Tour. This is the first time that the giant state-owned auto enterprise participates in the sponsor of international auto exhibition.……

  8. China FAW Participates in The China Auto International (Syria) Tour

    Institute of Scientific and Technical Information of China (English)

    Wu Yan; Che Qiang

    2006-01-01

    @@ At the beginning of the new year,a new message was released from the Organization Committee of China Auto International Tour - China FAW Group Corporation and China League of Machinery Industry will jointly sponsor the 4nd China Auto International(Syria) Tour. This is the first time that the giant state-owned auto enterprise participates in the sponsor of international auto exhibition.

  9. GLOBAL Auto Shows Boom in 2007

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    @@ China's independent brands have been booming in recent years when the country's auto industry has seen a rapid growth. They have attracted the global attention, but still need to upgrade constantly whether in technology or business performance in order to strengthen their presence in the global market and become internationalized.

  10. Conversations with AutoTutor Help Students Learn

    Science.gov (United States)

    Graesser, Arthur C.

    2016-01-01

    AutoTutor helps students learn by holding a conversation in natural language. AutoTutor is adaptive to the learners' actions, verbal contributions, and in some systems their emotions. Many of AutoTutor's conversation patterns simulate human tutoring, but other patterns implement ideal pedagogies that open the door to computer tutors eclipsing…

  11. Efficiency calibration of solid track spark auto counter

    International Nuclear Information System (INIS)

    The factors influencing detection efficiency of solid track spark auto counter were analyzed, and the best etch condition and parameters of charge were also reconfirmed. With small plate fission ionization chamber, the efficiency of solid track spark auto counter at various experiment assemblies was re-calibrated. The efficiency of solid track spark auto counter at various experimental conditions was obtained. (authors)

  12. 46 CFR 78.19-1 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 3 2010-10-01 2010-10-01 false Use of auto pilot. 78.19-1 Section 78.19-1 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) PASSENGER VESSELS OPERATIONS Auto Pilot § 78.19-1 Use of auto pilot. Except as provided in 33 CFR 164.15, when the automatic pilot is used in—...

  13. 46 CFR 97.16-1 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Use of auto pilot. 97.16-1 Section 97.16-1 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) CARGO AND MISCELLANEOUS VESSELS OPERATIONS Auto Pilot § 97.16-1 Use of auto pilot. Except as provided in 33 CFR 164.15, when the automatic pilot is...

  14. Taking Year-end Inventory on China's Auto Market

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    @@ From November 10 to 11, the 6th Annual China Auto Industry Development Summit, and Analysis and Survey on the China Auto Industry and Auto Parts Market for 2008, was held at the Beijing Central Garden Hotel. The event was co-sponsored by the China Machinery Industry Federation and the Liaoning Provincial Economic and Reform Commission.

  15. Auto Industry:The Wolf at the Door

    Institute of Scientific and Technical Information of China (English)

    GUANPENG

    2004-01-01

    Since China's accession into the WTO at the end of 2001, global auto giants have been re-shaping China's auto industry. When we analyze the changes in competitors' strategies, we find they have been intentionally controlling China's auto industry step by step,from whole vehicle manufacturing to distribution and parts supply.

  16. Challenges and Opportunities for China's Auto Industry Amid Crisis

    Institute of Scientific and Technical Information of China (English)

    Li Zhen

    2009-01-01

    @@ Adversely affected by the international financial crisis,China's auto exports suffered a huge loss.It is reported that China's auto exports have declined for 12 consecutive months since August 2008 because of a big contraction in the international auto market due to the financial crisis.

  17. Rational Thoughts on the Development of Chinese Auto Industry

    Institute of Scientific and Technical Information of China (English)

    Shao Qihui

    2004-01-01

    @@ In order to keep the steady, fast and sustainable development of auto industry, we should have an overall knowledge of the history and current situation of the world auto industry, and have a correct strategic planning and scientific measures towards the Chinese auto industry.

  18. FOTON Motor Crowns 4th China Auto International Circuit Exhibition

    Institute of Scientific and Technical Information of China (English)

    Wu; Yan

    2005-01-01

      In order to provide more opportuni ties for the high-developing Chinese auto industry including autos and motos to do export, and to enlarge the international influence of Chinese cars,the 4th China Auto International Circuit Exhibition will be held in Syria. The exhibition has been held for three times.……

  19. FOTON Motor Crowns 4th China Auto International Circuit Exhibition

    Institute of Scientific and Technical Information of China (English)

    Wu Yan

    2005-01-01

    @@ In order to provide more opportuni ties for the high-developing Chinese auto industry including autos and motos to do export, and to enlarge the international influence of Chinese cars,the 4th China Auto International Circuit Exhibition will be held in Syria. The exhibition has been held for three times.

  20. Correlation and simple linear regression.

    Science.gov (United States)

    Eberly, Lynn E

    2007-01-01

    This chapter highlights important steps in using correlation and simple linear regression to address scientific questions about the association of two continuous variables with each other. These steps include estimation and inference, assessing model fit, the connection between regression and ANOVA, and study design. Examples in microbiology are used throughout. This chapter provides a framework that is helpful in understanding more complex statistical techniques, such as multiple linear regression, linear mixed effects models, logistic regression, and proportional hazards regression. PMID:18450049

  1. AUTO-LAY: automatic layout generation for procedure flow diagrams

    International Nuclear Information System (INIS)

    Nuclear Power Plant Procedures can be seen from essentially two viewpoints: the process and the information management. From the first point of view, it is important to supply the knowledge apt to solve problems connected with the control of the process, from the second one the focus of attention is on the knowledge representation, its structure, elicitation and maintenance, formal quality assurance. These two aspects of procedure representation can be considered and solved separately. In particular, methodological, formal and management issues require long and tedious activities, that in most cases constitute a great barrier for procedures development and upgrade. To solve these problems, Ansaldo is developing DIAM, a wide integrated tool for procedure management to support in procedure writing, updating, usage and documentation. One of the most challenging features of DIAM is AUTO-LAY, a CASE sub-tool that, in a complete automatical way, structures parts or complete flow diagrams. This is a feature that is partially present in some other CASE products, that, anyway, do not allow complex graph handling and isomorphism between video and paper representation AUTO-LAY has the unique prerogative to draw graphs of any complexity, to section them in pages, and to automatically compose a document. This has been recognized in the literature as the most important second-generation CASE improvement. (author). 5 refs., 9 figs

  2. Robust bent line regression

    OpenAIRE

    Zhang, Feipeng; Li, Qunhua

    2016-01-01

    We introduce a rank-based bent linear regression with an unknown change point. Using a linear reparameterization technique, we propose a rank-based estimate that can make simultaneous inference on all model parameters, including the location of the change point, in a computationally efficient manner. We also develop a score-like test for the existence of a change point, based on a weighted CUSUM process. This test only requires fitting the model under the null hypothesis in absence of a chang...

  3. Adaptive Metric Kernel Regression

    DEFF Research Database (Denmark)

    Goutte, Cyril; Larsen, Jan

    1998-01-01

    Kernel smoothing is a widely used nonparametric pattern recognition technique. By nature, it suffers from the curse of dimensionality and is usually difficult to apply to high input dimensions. In this paper, we propose an algorithm that adapts the input metric used in multivariate regression by...... minimising a cross-validation estimate of the generalisation error. This allows one to automatically adjust the importance of different dimensions. The improvement in terms of modelling performance is illustrated on a variable selection task where the adaptive metric kernel clearly outperforms the standard...

  4. Adaptive metric kernel regression

    DEFF Research Database (Denmark)

    Goutte, Cyril; Larsen, Jan

    2000-01-01

    Kernel smoothing is a widely used non-parametric pattern recognition technique. By nature, it suffers from the curse of dimensionality and is usually difficult to apply to high input dimensions. In this contribution, we propose an algorithm that adapts the input metric used in multivariate...... regression by minimising a cross-validation estimate of the generalisation error. This allows to automatically adjust the importance of different dimensions. The improvement in terms of modelling performance is illustrated on a variable selection task where the adaptive metric kernel clearly outperforms the...

  5. Steganalysis using logistic regression

    Science.gov (United States)

    Lubenko, Ivans; Ker, Andrew D.

    2011-02-01

    We advocate Logistic Regression (LR) as an alternative to the Support Vector Machine (SVM) classifiers commonly used in steganalysis. LR offers more information than traditional SVM methods - it estimates class probabilities as well as providing a simple classification - and can be adapted more easily and efficiently for multiclass problems. Like SVM, LR can be kernelised for nonlinear classification, and it shows comparable classification accuracy to SVM methods. This work is a case study, comparing accuracy and speed of SVM and LR classifiers in detection of LSB Matching and other related spatial-domain image steganography, through the state-of-art 686-dimensional SPAM feature set, in three image sets.

  6. Integrated Optimization and Cost Allocation of Lean Inbound Logistics for the Auto Manufacturer%制造企业精益供应物流的整合优化与成本分摊问题——以汽车业为例

    Institute of Scientific and Technical Information of China (English)

    陈瑶; 霍佳震

    2012-01-01

    供应物流是连接供应商与制造企业间物料供应的重要活动.本文将精益思想延伸到跨企业的供应物流管理中,对供应商向精益制造企业直接JIT供应零部件的供应物流进行整合优化分析.以汽车业为例,分别在不同的供应商生产情况下讨论了精益供应物流的整合优化模型和求解方法,并讨论了实现整合优化结果的成本分摊机制,最后以上海某汽车整车厂和供应商为例进行了案例分析.%Manufacturing logistics can be mainly classified as inbound logistics, in-plant logistics, outbound logistics and return logistics. Inbound logistics links the first-tier suppliers and the manufacturer as an important value-added activity. Although a manufacturer's inbound logistic system is more complex than its outbound systems to an assembly plant (e. g. auto manufacturer) , its importance has been underestimated. An effective inbound logistics system is essential to the production process. While manufactories are applying Lean production system worldwide, The Lean production concept has not been widely applied to the inbound logistics area in spite of its popularity in the production area. If Lean concept is successfully applied to inbound logistics, raw materials and parts should be delivered to the manufacturer Just-in-time. The design of Lean inbound logistics can help move parts more efficiently in small lot-size. As a result, inventory can be substantially reduced to eliminate waste. However, with the lack of supply chain cooperation and integration optimization most manufacturers implementing the Lean inbound logistics in China consider their own interests and do not want to carry any inventory. Consequently, suppliers hold most of inventory and the waste is created outside the manufacturer and cannot be eliminated from the supply chain. This paper recognizes this prevalent issues existing in most manufacturers in China and proposes that the Lean principle extended to

  7. Caudal Regression Syndrome

    Directory of Open Access Journals (Sweden)

    Karim Hardani*

    2012-05-01

    Full Text Available A 10-month-old baby presented with developmental delay. He had flaccid paralysis on physical examination.An MRI of the spine revealed malformation of the ninth and tenth thoracic vertebral bodies with complete agenesis of the rest of the spine down that level. The thoracic spinal cord ends at the level of the fifth thoracic vertebra with agenesis of the posterior arches of the eighth, ninth and tenth thoracic vertebral bodies. The roots of the cauda equina appear tightened down and backward and ended into a subdermal fibrous fatty tissue at the level of the ninth and tenth thoracic vertebral bodies (closed meningocele. These findings are consistent with caudal regression syndrome.

  8. Adaptive functional linear regression

    CERN Document Server

    Comte, Fabienne

    2011-01-01

    We consider the estimation of the slope function in functional linear regression, where scalar responses are modeled in dependence of random functions. Cardot and Johannes [2010] have shown that a thresholded projection estimator can attain up to a constant minimax-rates of convergence in a general framework which allows to cover the prediction problem with respect to the mean squared prediction error as well as the estimation of the slope function and its derivatives. This estimation procedure, however, requires an optimal choice of a tuning parameter with regard to certain characteristics of the slope function and the covariance operator associated with the functional regressor. As this information is usually inaccessible in practice, we investigate a fully data-driven choice of the tuning parameter which combines model selection and Lepski's method. It is inspired by the recent work of Goldenshluger and Lepski [2011]. The tuning parameter is selected as minimizer of a stochastic penalized contrast function...

  9. Integration

    DEFF Research Database (Denmark)

    Emerek, Ruth

    2004-01-01

    Bidraget diskuterer de forskellige intergrationsopfattelse i Danmark - og hvad der kan forstås ved vellykket integration......Bidraget diskuterer de forskellige intergrationsopfattelse i Danmark - og hvad der kan forstås ved vellykket integration...

  10. An improved auto-tuning scheme for PI controllers.

    Science.gov (United States)

    Mudi, Rajani K; Dey, Chanchal; Lee, Tsu-Tian

    2008-01-01

    Ziegler-Nichols tuned PI and PID controllers are usually found to provide poor performances for high-order and nonlinear systems. In this study, an improved auto-tuning scheme is presented for Ziegler-Nichols tuned PI controllers (ZNPICs). With a view to improving the transient response, the proportional and integral gains of the proposed controller are continuously modified based on the current process trend. The proposed controller is tested for a number of high-order linear and nonlinear dead-time processes under both set-point change and load disturbance. It exhibits significantly improved performance compared to ZNPIC, and Refined Ziegler-Nichols tuned PI controller (RZNPIC). Robustness of the proposed scheme is established by varying the controller parameters as well as the dead-time of the process under control. PMID:17854807

  11. AutoCAD MEP 2009 Anpassad verktygspalett

    OpenAIRE

    Johansson, Magnus; Klasa, Thomas

    2009-01-01

    Rapporten handlar om examensprojektet som utförts av Magnus Johansson och Thomas Klasa under våren 2009. Man har under åtta veckors tid arbetat med att hjälpa företaget LBElkonsult AB i Mölndal med att ta fram en specialanpassad verktygspalett i datorprogrammet AutoCAD MEP 2009. I rapporten finns de olika steg som genomförts för att nå det önskade slutresultatet. Allt från förstudier och själva arbetet i AutoCAD MEP 2009 till finjusteringarna som avslutningsvis gjordes på den blivande slutpro...

  12. Programiranje u AutoCAD-u (C#)

    OpenAIRE

    Glasinovic, Frane

    2011-01-01

    Programski paket AutoCAD ima veliki broj ugrađenih alata pa biste pomislili da u AutoCAD-u postoje funkcije za sve što vam padne na pamet. To je donekle i istina, ali ponekad ćete se naći u situaciji da ugrađeni alati jednostavni nisu ono što tražite. Nekada ćete poželjeti automatizirati ponavljajući proces ili pristupiti rješavanju problema na način koji više odgovara specifičnim okolnostima. U ovakvim slučajevima znanje iz programiranja biti će više nego dobrodošlo. U samo par linija ...

  13. AutoCAD-To-GIFTS Translator Program

    Science.gov (United States)

    Jones, Andrew

    1989-01-01

    AutoCAD-to-GIFTS translator program, ACTOG, developed to facilitate quick generation of small finite-element models using CASA/GIFTS finite-element modeling program. Reads geometric data of drawing from Data Exchange File (DXF) used in AutoCAD and other PC-based drafting programs. Geometric entities recognized by ACTOG include points, lines, arcs, solids, three-dimensional lines, and three-dimensional faces. From this information, ACTOG creates GIFTS SRC file, which then reads into GIFTS preprocessor BULKM or modified and reads into EDITM to create finite-element model. SRC file used as is or edited for any number of uses. Written in Microsoft Quick-Basic (Version 2.0).

  14. Sensor Validation Using Auto associative Neural Network

    International Nuclear Information System (INIS)

    Sensor Validation Using Auto associative Neural Network. Sensor signal accuration plays a significant role in safety and operation of a nuclear reactor. These sensor performance could be decline even become totally fault when the reactor in operation. This paper demonstrates the application of auto associative neural network (AANN) to validate signals from various correlated sensor so that the sensor performance deterioration can be earlier detected. An AANN model produces predicted signal, which is used as a measured signal validator. The faulty of a sensor will not disturb the reactor operation since the predicted signal can be used as redundant signal and replace the faulty signal. This method is applied to a set of data from Borselle Nuclear Power Plant and corresponds to various operation modes. Result showed that the system could be used to detect 3% drift on one of the input channel. (author)

  15. Gamma ray auto absorption correction evaluation methodology

    International Nuclear Information System (INIS)

    Neutron activation analysis (NAA) is a well established nuclear technique, suited to investigate the microstructural or elemental composition and can be applied to studies of a large variety of samples. The work with large samples involves, beside the development of large irradiation devices with well know neutron field characteristics, the knowledge of perturbing phenomena and adequate evaluation of correction factors like: neutron self shielding, extended source correction, gamma ray auto absorption. The objective of the works presented in this paper is to validate an appropriate methodology for gamma ray auto absorption correction evaluation for large inhomogeneous samples. For this purpose a benchmark experiment has been defined - a simple gamma ray transmission experiment, easy to be reproduced. The gamma ray attenuation in pottery samples has been measured and computed using MCNP5 code. The results show a good agreement between the computed and measured values, proving that the proposed methodology is able to evaluate the correction factors. (authors)

  16. Regression analysis in quantum language

    OpenAIRE

    ISHIKAWA, Shiro

    2014-01-01

    Although regression analysis has a great history, we consider that it has always continued being confused. For example, the fundamental terms in regression analysis (e.g., "regression", "least-squares method", "explanatory variable", "response variable", etc.) seem to be historically conventional, that is, these words do not express the essence of regression analysis. Recently, we proposed quantum language (or, classical and quantum measurement theory), which is characterized as the linguisti...

  17. Causes of Urban Sprawl in the United States: Auto Reliance as Compared to Natural Evolution, Flight from Blight, and Local Revenue Reliance

    Science.gov (United States)

    Wassmer, Robert W.

    2008-01-01

    This paper describes a statistical study of the contribution of theories previously offered by economists to explain differences in the degree of urban decentralization in the U.S. The focus is on a relative comparison of the influence of auto reliance. A regression analysis reveals that a 10 percent reduction in the percentage of households…

  18. Multinomial logistic regression ensembles.

    Science.gov (United States)

    Lee, Kyewon; Ahn, Hongshik; Moon, Hojin; Kodell, Ralph L; Chen, James J

    2013-05-01

    This article proposes a method for multiclass classification problems using ensembles of multinomial logistic regression models. A multinomial logit model is used as a base classifier in ensembles from random partitions of predictors. The multinomial logit model can be applied to each mutually exclusive subset of the feature space without variable selection. By combining multiple models the proposed method can handle a huge database without a constraint needed for analyzing high-dimensional data, and the random partition can improve the prediction accuracy by reducing the correlation among base classifiers. The proposed method is implemented using R, and the performance including overall prediction accuracy, sensitivity, and specificity for each category is evaluated on two real data sets and simulation data sets. To investigate the quality of prediction in terms of sensitivity and specificity, the area under the receiver operating characteristic (ROC) curve (AUC) is also examined. The performance of the proposed model is compared to a single multinomial logit model and it shows a substantial improvement in overall prediction accuracy. The proposed method is also compared with other classification methods such as the random forest, support vector machines, and random multinomial logit model. PMID:23611203

  19. Combining Alphas via Bounded Regression

    Directory of Open Access Journals (Sweden)

    Zura Kakushadze

    2015-11-01

    Full Text Available We give an explicit algorithm and source code for combining alpha streams via bounded regression. In practical applications, typically, there is insufficient history to compute a sample covariance matrix (SCM for a large number of alphas. To compute alpha allocation weights, one then resorts to (weighted regression over SCM principal components. Regression often produces alpha weights with insufficient diversification and/or skewed distribution against, e.g., turnover. This can be rectified by imposing bounds on alpha weights within the regression procedure. Bounded regression can also be applied to stock and other asset portfolio construction. We discuss illustrative examples.

  20. Regression Analysis A Constructive Critique

    CERN Document Server

    Berk, Richard A

    2003-01-01

    Regression Analysis: A Constructive Critique identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved. Regression is most useful for data reduction, leading to relatively simple but rich and precise descriptions of patterns in a data set. The emphasis on description provides readers with an insightful rethinking from the ground up of what regression analysis can do, so that readers can better match regression analysis with useful empirical questions and improved policy-related research. "An

  1. La demande de soins curatifs, l'auto-protection et l'auto-assurance

    OpenAIRE

    Razgallah, Mohamed Anouar

    2004-01-01

    En utilisant un modèle bivarié de décision dans le risque qui sépare les pertes financières des pertes de santé, nous analysons la demande de soins curatifs présentant un risque de santé ainsi que les déterminants du problème de surconsommation de soins. Nous étudions également la demande d'auto-protection et la demande d'auto-assurance ainsi que l'impact de l'aversion au risque sur chacune de ces deux demandes.

  2. Integrando a promoção das metodologias Lean Manufacturing e Six Sigma na busca de produtividade e qualidade numa empresa fabricante de autopeças Integrating the promotion of Lean Manufacturing and Six Sigma methodologies in search of productivity and quality in an auto parts manufacturer

    Directory of Open Access Journals (Sweden)

    Iris Bento da Silva

    2011-01-01

    Full Text Available Dentre os diversos fatores críticos de sucesso que as empresas devem considerar, destaca-se a busca por padrões cada vez mais elevados de produtividade e qualidade. Neste contexto, o objetivo deste trabalho é apresentar uma iniciativa de integrar a promoção das metodologias Lean Manufacturing e Six Sigma na busca de um melhor desempenho operacional. Essa integração combina a aplicação de elementos de Lean Manufacturing, que visa à racionalização dos fluxos de valor por meio da redução de desperdícios, com elementos de Six Sigma, que visa à sistematização do processo de análise e controle da variação em processos para se obter qualidade superior. O trabalho é baseado num estudo de caso sobre as mudanças realizadas para a acomodação desta abordagem numa empresa fabricante de autopeças. São investigados a estrutura adotada para sua promoção bem como o modo em que os projetos de melhoria são desenvolvidos por meio dela. Os resultados obtidos indicam que a iniciativa de conciliar a aplicação destas duas metodologias pode contribuir para aprimorar e tornar mais abrangente e efetivo o processo de melhoria contínua.Among the diverse critical success factors that the firms must consider, the pursuit of increasingly higher standards of productivity and quality stands out. In this context, the purpose of this article is to present an initiative to integrate the promotion of the Lean Manufacturing and Six Sigma methodologies in seeking enhanced operational performance. This integration combines the application of Lean Manufacturing elements that aim at the streamlining of value streams by the elimination of wastes with Six Sigma elements which aim at the systematization of the analysis and control of process variation for accomplishing superior quality. This work is based on a case study on the changes undertaken for the implementation of this approach in an auto parts manufacturer. The organizational structure which was

  3. Specification Testing for Nonlinear Multivariate Cointegrating Regressions

    OpenAIRE

    Chaohua Dong; Jiti Gao; Dag Tjostheim; Jiying Yin

    2014-01-01

    This paper considers a general model specification test for nonlinear multivariate cointegrating regressions where the regressor consists of a univariate integrated time series and a vector of stationary time series. The regressors and the errors are generated from the same innovations, so that the model accommodates endogeniety. A new and simple test is proposed and the resulting asymptotic theory is established. The test statistic is constructed based on a natural distance function between ...

  4. Theory and practice of Auto CAD, computer graphics

    International Nuclear Information System (INIS)

    This book describes theory and practice of Auto CAD, computer graphics, which deals with peripheral of computer, occurrence of digital line by DDA, BRM, theory of conversion, data base and display and shape modeling. This book gives descriptions of outline of CAD system, Auto CAD, basic function practice, simple figure practice, the third angle projection drawing a little complex single object, machine drawing I, function practice of improved Auto CAD, edit, set up layer, and 3D, and 3D display function.

  5. Creation of a Deep Convolutional Auto-Encoder in Caffe

    OpenAIRE

    Turchenko, Volodymyr; Luczak, Artur

    2015-01-01

    The development of a deep (stacked) convolutional auto-encoder in the Caffe deep learning framework is presented in this paper. We describe simple principles which we used to create this model in Caffe. The proposed model of convolutional auto-encoder does not have pooling/unpooling layers yet. The results of our experimental research show comparable accuracy of dimensionality reduction in comparison with a classic auto-encoder on the example of MNIST dataset.

  6. FOTON Auto: Fish Pound Generates Successful Overseas Market

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    @@ The rapid development of Chinese auto industry has led to an escalated boom of the independent brands of Chinese auto industry, as well as a success in the overseas market. Especially in the fields of the business cars, thanks to the abundant experiences accumulated during the past 50 years and the mature products, Chinese auto industry has won some comparative advantages in the international market.

  7. FOTON Auto: Fish Pound Generates Successful Overseas Market

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

      The rapid development of Chinese auto industry has led to an escalated boom of the independent brands of Chinese auto industry, as well as a success in the overseas market. Especially in the fields of the business cars, thanks to the abundant experiences accumulated during the past 50 years and the mature products, Chinese auto industry has won some comparative advantages in the international market.……

  8. CENTRAL CONVEYING & AUTO FEEDING SYSTEMS FOR AN INJECTION MOLDING SHOP

    Directory of Open Access Journals (Sweden)

    Sanjeev Kumar

    2011-08-01

    Full Text Available Nowadays injection molding is probably the most important method of Processing of consumer and industrial goods, and is performed everywhere in the world. The developing of injection molding becomes a competition from day to day. This Process now integrated with computer control make the production better in quality and Better quantity. The trends of producing a plastics product in injection molding industries are recently changing from traditional method to using the FEA analysis. For injection molding industries, time and cost is very important aspects to consider because these two aspectswill directly related to the profits at a company. The next issue toconsider, to get the best parameter for the injection molding process, plastics has been waste. Through the experiment, operator will use large amount of plastics material to get the possibly parameters to setup the machine.To produce the parts with better quality and quantity these molding defects are the major obstacles in achieving the targets with quality & quantity. Various defects like Short shot, colour streaks and low productivity rates are associated with the material mixing and feeding as molded plastics are often a blend of two or more materials. Colors (master batch and other additives are often mixed (blended with the raw plastic material prior to the molding process in molding plants. So it is very necessary to work out auto blending and auto feeding of plasticgranules to the machine hopper. This paper will cover the studyof automatic blending unit & central conveying system for plasticgranule feeding to machine & will help in optimizing the injection molding process.

  9. 3D Surface Morphology Measurement and Auto-focusing System

    Institute of Scientific and Technical Information of China (English)

    CHEN Qi; ZANG Huai-pei

    2005-01-01

    When interference microscope measures the surface rough of the micromechanical device, as soon as the work distance of interference microscope and the depth of field is shortened, the interference images become slur for the measured object if there has small interference after clear focus. The auto-focusing system is introduced into the interference microscope, the system can obtain high definition interference image rapidly,and can improve the measuring velocity and measuring precision. The system is characterized by auto-focusing range of ±150 μm, auto-focusing precision of ±0.3 μm, auto-focusing time of 4~8 s.

  10. Stable auto-equivalences for local symmetric algebras

    OpenAIRE

    Dugas, Alex

    2014-01-01

    We construct nontrivial auto-equivalences of stable module categories for elementary, local symmetric algebras over a field k. These auto-equivalences are modeled after the spherical twists of Seidel and Thomas and the $\\mathbb{P}^n$-twists of Huybrechts and Thomas, which yield auto-equivalences of the derived category of coherent sheaves on a variety. For group algebras of p-groups in characteristic p we recover many of the auto-equivalences corresponding to endo-trivial modules. We also obt...

  11. Time-adaptive quantile regression

    DEFF Research Database (Denmark)

    Møller, Jan Kloppenborg; Nielsen, Henrik Aalborg; Madsen, Henrik

    2008-01-01

    An algorithm for time-adaptive quantile regression is presented. The algorithm is based on the simplex algorithm, and the linear optimization formulation of the quantile regression problem is given. The observations have been split to allow a direct use of the simplex algorithm. The simplex method...... and an updating procedure are combined into a new algorithm for time-adaptive quantile regression, which generates new solutions on the basis of the old solution, leading to savings in computation time. The suggested algorithm is tested against a static quantile regression model on a data set with...... wind power production, where the models combine splines and quantile regression. The comparison indicates superior performance for the time-adaptive quantile regression in all the performance parameters considered....

  12. Regressive Evolution in Astyanax Cavefish

    OpenAIRE

    Jeffery, William R.

    2009-01-01

    A diverse group of animals, including members of most major phyla, have adapted to life in the perpetual darkness of caves. These animals are united by the convergence of two regressive phenotypes, loss of eyes and pigmentation. The mechanisms of regressive evolution are poorly understood. The teleost Astyanax mexicanus is of special significance in studies of regressive evolution in cave animals. This species includes an ancestral surface dwelling form and many con-specific cave-dwelling for...

  13. Polynomial Regression on Riemannian Manifolds

    CERN Document Server

    Hinkle, Jacob; Fletcher, P Thomas; Joshi, Sarang

    2012-01-01

    In this paper we develop the theory of parametric polynomial regression in Riemannian manifolds and Lie groups. We show application of Riemannian polynomial regression to shape analysis in Kendall shape space. Results are presented, showing the power of polynomial regression on the classic rat skull growth data of Bookstein as well as the analysis of the shape changes associated with aging of the corpus callosum from the OASIS Alzheimer's study.

  14. Regression Testing Cost Reduction Suite

    OpenAIRE

    Mohamed Alaa El-Din; Ismail Abd El-Hamid Taha; Hesham El-Deeb

    2014-01-01

    The estimated cost of software maintenance exceeds 70 percent of total software costs [1], and large portion of this maintenance expenses is devoted to regression testing. Regression testing is an expensive and frequently executed maintenance activity used to revalidate the modified software. Any reduction in the cost of regression testing would help to reduce the software maintenance cost. Test suites once developed are reused and updated frequently as the software evolves. As a result, some...

  15. Shape Analysis Using the Auto Diffusion Function

    DEFF Research Database (Denmark)

    Gebal, Katarzyna; Bærentzen, Jakob Andreas; Aanæs, Henrik;

    2009-01-01

    Scalar functions defined on manifold triangle meshes is a starting point for many geometry processing algorithms such as mesh parametrization, skeletonization, and segmentation. In this paper, we propose the Auto Diffusion Function (ADF) which is a linear combination of the eigenfunctions of the...... controlled by a single parameter which can be interpreted as feature scale, and, finally, the ADF is invariant to rigid and isometric deformations. We describe the ADF and its properties in detail and compare it to other choices of scalar functions on manifolds. As an example of an application, we present a...

  16. Auto-communicating micro-orientalism

    DEFF Research Database (Denmark)

    Ren, Carina Bregnholm; Ooi, Can-Seng

    2013-01-01

    Using the concepts of auto-communication and micro-Orientalism, this article argues that nation branding at World Expos produces and propagates notions of difference and Otherness. We examine how Denmark presents itself in China, and how the message inevitably tells how the Danish authorities view...... the Chinese. Using the Danish ‘Welfairytales’ pavilion at the 2010 World Expo in Shanghai, we show how the national self is performed in two versions. One attempts to communicate ‘the good Danish life’ to the Danes themselves, while the other claims Occidental superiority. The case shows how the Danish...

  17. Business applications of multiple regression

    CERN Document Server

    Richardson, Ronny

    2015-01-01

    This second edition of Business Applications of Multiple Regression describes the use of the statistical procedure called multiple regression in business situations, including forecasting and understanding the relationships between variables. The book assumes a basic understanding of statistics but reviews correlation analysis and simple regression to prepare the reader to understand and use multiple regression. The techniques described in the book are illustrated using both Microsoft Excel and a professional statistical program. Along the way, several real-world data sets are analyzed in deta

  18. Quantile regression theory and applications

    CERN Document Server

    Davino, Cristina; Vistocco, Domenico

    2013-01-01

    A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods. The main focus of this book is to provide the reader with a comprehensivedescription of the main issues concerning quantile regression; these include basic modeling, geometrical interpretation, estimation and inference for quantile regression, as well as issues on validity of the model, diagnostic tools. Each methodological aspect is explored and

  19. AutoCAD的三维设计技术研究%3D design in AutoCAD

    Institute of Scientific and Technical Information of China (English)

    吴春燕; 陈兵

    2005-01-01

    通过对在 AutoCAD中进行三维图形设计工作示控制、建模、编辑、着色和渲染的介绍,展示了 AutoCAD 2002版本中增强的三维绘图功能,为众多的 AutoCAD用户提供了一种三维设计的思路.

  20. Investigating the Simulink Auto-Coding Process

    Science.gov (United States)

    Gualdoni, Matthew J.

    2016-01-01

    Model based program design is the most clear and direct way to develop algorithms and programs for interfacing with hardware. While coding "by hand" results in a more tailored product, the ever-growing size and complexity of modern-day applications can cause the project work load to quickly become unreasonable for one programmer. This has generally been addressed by splitting the product into separate modules to allow multiple developers to work in parallel on the same project, however this introduces new potentials for errors in the process. The fluidity, reliability and robustness of the code relies on the abilities of the programmers to communicate their methods to one another; furthermore, multiple programmers invites multiple potentially differing coding styles into the same product, which can cause a loss of readability or even module incompatibility. Fortunately, Mathworks has implemented an auto-coding feature that allows programmers to design their algorithms through the use of models and diagrams in the graphical programming environment Simulink, allowing the designer to visually determine what the hardware is to do. From here, the auto-coding feature handles converting the project into another programming language. This type of approach allows the designer to clearly see how the software will be directing the hardware without the need to try and interpret large amounts of code. In addition, it speeds up the programming process, minimizing the amount of man-hours spent on a single project, thus reducing the chance of human error as well as project turnover time. One such project that has benefited from the auto-coding procedure is Ramses, a portion of the GNC flight software on-board Orion that has been implemented primarily in Simulink. Currently, however, auto-coding Ramses into C++ requires 5 hours of code generation time. This causes issues if the tool ever needs to be debugged, as this code generation will need to occur with each edit to any part of

  1. Engineering Dimensioning Based on AutoCAD Block Operation%基于AutoCAD块操作的工程标注

    Institute of Scientific and Technical Information of China (English)

    王春升

    2001-01-01

    AutoCAD系统绘制机械零件图时,可以利用AutoCAD的块操作创建表面粗糙度调用图块。%The block operation of AutoCAD can be used in creating surfaceroughness calling segment when AutoCAD is applied in designing mechanica l part-diagram.

  2. Auto convergence for stereoscopic 3D cameras

    Science.gov (United States)

    Zhang, Buyue; Kothandaraman, Sreenivas; Batur, Aziz Umit

    2012-03-01

    Viewing comfort is an important concern for 3-D capable consumer electronics such as 3-D cameras and TVs. Consumer generated content is typically viewed at a close distance which makes the vergence-accommodation conflict particularly pronounced, causing discomfort and eye fatigue. In this paper, we present a Stereo Auto Convergence (SAC) algorithm for consumer 3-D cameras that reduces the vergence-accommodation conflict on the 3-D display by adjusting the depth of the scene automatically. Our algorithm processes stereo video in realtime and shifts each stereo frame horizontally by an appropriate amount to converge on the chosen object in that frame. The algorithm starts by estimating disparities between the left and right image pairs using correlations of the vertical projections of the image data. The estimated disparities are then analyzed by the algorithm to select a point of convergence. The current and target disparities of the chosen convergence point determines how much horizontal shift is needed. A disparity safety check is then performed to determine whether or not the maximum and minimum disparity limits would be exceeded after auto convergence. If the limits would be exceeded, further adjustments are made to satisfy the safety limits. Finally, desired convergence is achieved by shifting the left and the right frames accordingly. Our algorithm runs real-time at 30 fps on a TI OMAP4 processor. It is tested using an OMAP4 embedded prototype stereo 3-D camera. It significantly improves 3-D viewing comfort.

  3. AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number

    Directory of Open Access Journals (Sweden)

    Cooper James B

    2010-03-01

    Full Text Available Abstract Background Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the underlying structure of these natural datasets is often fuzzy, and the computational identification of data clusters generally requires knowledge about cluster number and geometry. Results We integrated strategies from machine learning, cartography, and graph theory into a new informatics method for automatically clustering self-organizing map ensembles of high-dimensional data. Our new method, called AutoSOME, readily identifies discrete and fuzzy data clusters without prior knowledge of cluster number or structure in diverse datasets including whole genome microarray data. Visualization of AutoSOME output using network diagrams and differential heat maps reveals unexpected variation among well-characterized cancer cell lines. Co-expression analysis of data from human embryonic and induced pluripotent stem cells using AutoSOME identifies >3400 up-regulated genes associated with pluripotency, and indicates that a recently identified protein-protein interaction network characterizing pluripotency was underestimated by a factor of four. Conclusions By effectively extracting important information from high-dimensional microarray data without prior knowledge or the need for data filtration, AutoSOME can yield systems-level insights from whole genome microarray expression studies. Due to its generality, this new method should also have practical utility for a variety of data-intensive applications, including the results of deep sequencing experiments. AutoSOME is available for download at http://jimcooperlab.mcdb.ucsb.edu/autosome.

  4. Discussion on the application of AutoCAD in irrigation project drawing%浅谈AutoCAD在水利工程制图中的应用

    Institute of Scientific and Technical Information of China (English)

    葛玉芹; 方诗圣

    2008-01-01

    结合AutoCAD技术的广泛应用,总结了AutoCAD在水利工程制图中的应用,包括巧借Excel在AutoCAD中绘曲线、用AutoCAD制作表格、Wrod文档中插入AutoCAD图形等,重点介绍了AutoCAD中修剪、延伸及镜像命令的巧用,同时对BAK及PURGE的应用也进行了说明,以推广AutoCAD软件的应用.

  5. Application discussion of AutoCAD in lightning protect engineering drawing%浅谈AutoCAD在防雷工程制图中的应用

    Institute of Scientific and Technical Information of China (English)

    杨再禹; 薛文峰

    2008-01-01

    结合AutoCAD技术的广泛应用,总结了AutoCAD在防雷工程制图中的应用,包括巧借Excel在AutoCAD 中绘曲线、用AutoCAD制作表格、Word 文档中插入AutoCAD图形等,重点介绍了AutoCAD中修剪、延伸及镜像命令的巧用,同时对BAK及PURGE的应用也进行了说明,以推广AutoCAD软件的应用.

  6. Auto-ionizing states in MgI

    International Nuclear Information System (INIS)

    Hartree-Fock calculations have been performed for the auto-ionizing levels of the 3pns, 3pnp, 4snp (n=4 to 7) and 3pnd (n=3 to 7) series in MgI. The calculated energies of the auto-ionizing states are compared with the available results from photo-absorption measurements and ejected-electron experiments. (author)

  7. Efficiency measurement for solid track spark auto counters

    International Nuclear Information System (INIS)

    The theory of solid track spark auto counters was introduced. The best etch condition was explored. Efficiency for spark auto counters was measured. The ameliorating-factor for the hull's thickness and etch-thickness was measured. The measurement for ameliorating factors and efficiency makes solid track detect system, can be used for absolute fission rate measurement. (authors)

  8. 46 CFR 167.65-35 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 7 2010-10-01 2010-10-01 false Use of auto pilot. 167.65-35 Section 167.65-35 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) NAUTICAL SCHOOLS PUBLIC NAUTICAL SCHOOL SHIPS Special Operating Requirements § 167.65-35 Use of auto pilot. Except as provided in 33 CFR 164.15,...

  9. 46 CFR 122.360 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Use of auto pilot. 122.360 Section 122.360 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SMALL PASSENGER VESSELS CARRYING MORE THAN 150... Requirements § 122.360 Use of auto pilot. Whenever an automatic pilot is used the master shall ensure that:...

  10. 46 CFR 185.360 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 7 2010-10-01 2010-10-01 false Use of auto pilot. 185.360 Section 185.360 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SMALL PASSENGER VESSELS (UNDER 100 GROSS TONS) OPERATIONS Miscellaneous Operating Requirements § 185.360 Use of auto pilot. Whenever an automatic pilot...

  11. 46 CFR 109.585 - Use of auto pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Use of auto pilot. 109.585 Section 109.585 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) A-MOBILE OFFSHORE DRILLING UNITS OPERATIONS Miscellaneous § 109.585 Use of auto pilot. Except as provided in 33 CFR 164.15, when the automatic pilot is...

  12. 46 CFR 131.960 - Use of auto-pilot.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Use of auto-pilot. 131.960 Section 131.960 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) OFFSHORE SUPPLY VESSELS OPERATIONS Miscellaneous § 131.960 Use of auto-pilot. When the automatic pilot is used in areas of high traffic...

  13. An Instructional Method for the AutoCAD Modeling Environment.

    Science.gov (United States)

    Mohler, James L.

    1997-01-01

    Presents a command organizer for AutoCAD to aid new uses in operating within the 3-D modeling environment. Addresses analyzing the problem, visualization skills, nonlinear tools, a static view of a dynamic model, the AutoCAD organizer, environment attributes, and control of the environment. Contains 11 references. (JRH)

  14. Chinese Auto Show in Indo-China Peninsula

    Institute of Scientific and Technical Information of China (English)

    Wu Yan

    2005-01-01

    @@ Chinese auto and motorcycle exhibition group will drive to Indo-China Peninsula in Juanuary 2005 to participate in the 3rd Mudan Cup China International Auto Exhibition (Vietnam and Cambodia). Those Chinese machinery products including automobiles, motorcycles are the first batch commodities entering Vietnam and Cambodia after the signing of China-ASEAN Agreement of Cargo Trade.

  15. Brilliance Auto:Independent Quality Product "China Wind"

    Institute of Scientific and Technical Information of China (English)

    Bai Yifeng; Liu Jinliang

    2006-01-01

    @@ Brilliance Auto, leads one and another leap of Chinese automobile with its unique posture of "high starting point independent innovation". As the new vigor power of national automobile, "forge national independent brand quality product" is the pursuit of Brilliance Auto since a long time.

  16. The background of Chinese Autos popularity in Syria

    Institute of Scientific and Technical Information of China (English)

    Gu Zhongyang

    2008-01-01

    @@ At the end of April in 2006,I along with lhmous China automakers attended the murth Syria China Auto International Exhibition held by China Council for Promotion of International Trade and China Machinery Industry Fcderation,took a tour by the Cars for 10 days in Syria,and had a close feel on the auto market in Syria.

  17. Programmable logic controller implementation of an auto-tuned predictive control based on minimal plant information.

    Science.gov (United States)

    Valencia-Palomo, G; Rossiter, J A

    2011-01-01

    This paper makes two key contributions. First, it tackles the issue of the availability of constrained predictive control for low-level control loops. Hence, it describes how the constrained control algorithm is embedded in an industrial programmable logic controller (PLC) using the IEC 61131-3 programming standard. Second, there is a definition and implementation of a novel auto-tuned predictive controller; the key novelty is that the modelling is based on relatively crude but pragmatic plant information. Laboratory experiment tests were carried out in two bench-scale laboratory systems to prove the effectiveness of the combined algorithm and hardware solution. For completeness, the results are compared with a commercial proportional-integral-derivative (PID) controller (also embedded in the PLC) using the most up to date auto-tuning rules. PMID:21056412

  18. An auto-adaptive optimization approach for targeting nonpoint source pollution control practices

    Science.gov (United States)

    Chen, Lei; Wei, Guoyuan; Shen, Zhenyao

    2015-10-01

    To solve computationally intensive and technically complex control of nonpoint source pollution, the traditional genetic algorithm was modified into an auto-adaptive pattern, and a new framework was proposed by integrating this new algorithm with a watershed model and an economic module. Although conceptually simple and comprehensive, the proposed algorithm would search automatically for those Pareto-optimality solutions without a complex calibration of optimization parameters. The model was applied in a case study in a typical watershed of the Three Gorges Reservoir area, China. The results indicated that the evolutionary process of optimization was improved due to the incorporation of auto-adaptive parameters. In addition, the proposed algorithm outperformed the state-of-the-art existing algorithms in terms of convergence ability and computational efficiency. At the same cost level, solutions with greater pollutant reductions could be identified. From a scientific viewpoint, the proposed algorithm could be extended to other watersheds to provide cost-effective configurations of BMPs.

  19. 'Integration'

    DEFF Research Database (Denmark)

    Olwig, Karen Fog

    2011-01-01

    , while the countries have adopted disparate policies and ideologies, differences in the actual treatment and attitudes towards immigrants and refugees in everyday life are less clear, due to parallel integration programmes based on strong similarities in the welfare systems and in cultural notions of...

  20. Directly Generating the NC Machining Program from AutoCAD Graph

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    One kind of auto-programming method directly gener at ing the NC machining program by AutoCAD graph is discussed in this article. Firs tly, the article discusses the open type graphic interface of AutoCAD. Then the graphic export among the AutoCAD, the adding of process information and the data storage, as well as technology of generating NC program has been introduced . Finally, a NC auto-programming system GAPS based on AutoCAD graph is develope d. The tendency of auto-programming is graphic auto-pro...

  1. Regression analysis with categorized regression calibrated exposure: some interesting findings

    Directory of Open Access Journals (Sweden)

    Hjartåker Anette

    2006-07-01

    Full Text Available Abstract Background Regression calibration as a method for handling measurement error is becoming increasingly well-known and used in epidemiologic research. However, the standard version of the method is not appropriate for exposure analyzed on a categorical (e.g. quintile scale, an approach commonly used in epidemiologic studies. A tempting solution could then be to use the predicted continuous exposure obtained through the regression calibration method and treat it as an approximation to the true exposure, that is, include the categorized calibrated exposure in the main regression analysis. Methods We use semi-analytical calculations and simulations to evaluate the performance of the proposed approach compared to the naive approach of not correcting for measurement error, in situations where analyses are performed on quintile scale and when incorporating the original scale into the categorical variables, respectively. We also present analyses of real data, containing measures of folate intake and depression, from the Norwegian Women and Cancer study (NOWAC. Results In cases where extra information is available through replicated measurements and not validation data, regression calibration does not maintain important qualities of the true exposure distribution, thus estimates of variance and percentiles can be severely biased. We show that the outlined approach maintains much, in some cases all, of the misclassification found in the observed exposure. For that reason, regression analysis with the corrected variable included on a categorical scale is still biased. In some cases the corrected estimates are analytically equal to those obtained by the naive approach. Regression calibration is however vastly superior to the naive method when applying the medians of each category in the analysis. Conclusion Regression calibration in its most well-known form is not appropriate for measurement error correction when the exposure is analyzed on a

  2. SU-E-I-97: Smart Auto-Planning Framework in An EMR Environment (SAFEE)

    International Nuclear Information System (INIS)

    Purpose: Our Radiation Oncology Department uses clinical practice guidelines for patient treatment, including normal tissue sparing and other dosimetric constraints. These practice guidelines were adapted from national guidelines, clinical trials, literature reviews, and practitioner's own experience. Modern treatment planning systems (TPS) have the capability of incorporating these practice guidelines to automatically create radiation therapy treatment plans with little human intervention. We are developing a software infrastructure to integrate clinical practice guidelines and radiation oncology electronic medical record (EMR) system into radiation therapy treatment planning system (TPS) for auto planning. Methods: Our Smart Auto-Planning Framework in an EMR environment (SAFEE) uses a software pipeline framework to integrate practice guidelines,EMR, and TPS together. The SAFEE system starts with retrieving diagnosis information and physician's prescription from the EMR system. After approval of contouring, SAFEE will automatically create plans according to our guidelines. Based on clinical objectives, SAFEE will automatically select treatment delivery techniques (such as, 3DRT/IMRT/VMAT) and optimize plans. When necessary, SAFEE will create multiple treatment plans with different combinations of parameters. SAFEE's pipeline structure makes it very flexible to integrate various techniques, such as, Model-Base Segmentation (MBS) and plan optimization algorithms, e.g., Multi-Criteria Optimization (MCO). In addition, SAFEE uses machine learning, data mining techniques, and an integrated database to create clinical knowledgebase and then answer clinical questions, such as, how to score plan quality or how volume overlap affects physicians' decision in beam and treatment technique selection. Results: In our institution, we use Varian Aria EMR system and RayStation TPS from RaySearch, whose ScriptService API allows control by external programs. These applications are

  3. AutoPyFactory and the Cloud

    CERN Document Server

    Caballero, J; The ATLAS collaboration; Love, P

    2013-01-01

    AutoPyFactory (APF) is a next-generation pilot submission framework that has been used as part of the ATLAS workload management system (PANDA) for two years. APF is reliable, scalable, and offers easy and flexible configuration. Using a plugin-based architecture, APF polls for information from configured information and batch systems (including grid sites), decides how many additional pilot jobs are needed, and submits them. With the advent of cloud computing, providing resources goes beyond submitting pilots to grid sites. Now, the resources on which the pilot will run also need to be managed. Handling both pilot submission and controlling the virtual machine life cycle (creation, retirement, and termination) from the same framework allows robust and efficient management of the process. In this paper we describe the design and implementation of these virtual machine management capabilities of APF. Expanding on our plugin-based approach, we allow cascades of virtual resources associated with a job queue. A si...

  4. AFC-Auto Oy:n asiakkuudenhallinta

    OpenAIRE

    Kinnunen, Ville-Markus

    2013-01-01

    Asiakkuudenhallinnan merkitys yrityksen jokapäiväisessä toiminnassa on muuttumassa koko ajan tärke-ämmäksi. Opinnäytetyöni tavoitteena oli kehittää AFC-Auto Oy:lle toimiva järjestelmä, jolla se pystyy tulevaisuudessa pitämään asiakkuudet paremmin hallinnassa. Toimeksiantajana minulla toimi varkaute-lainen perhe-yritys, joka harjoittaa käytettyjen autojen myyntiä. Olen itse osakkaana yrityksessä, joten järjestelmä tulee varmasti olemaan yrityksellä käytössä, ja sitä kehitetään eteenpäin. Te...

  5. Auto-programmable impulse neural circuits

    Science.gov (United States)

    Watula, D.; Meador, J.

    1990-01-01

    Impulse neural networks use pulse trains to communicate neuron activation levels. Impulse neural circuits emulate natural neurons at a more detailed level than that typically employed by contemporary neural network implementation methods. An impulse neural circuit which realizes short term memory dynamics is presented. The operation of that circuit is then characterized in terms of pulse frequency modulated signals. Both fixed and programmable synapse circuits for realizing long term memory are also described. The implementation of a simple and useful unsupervised learning law is then presented. The implementation of a differential Hebbian learning rule for a specific mean-frequency signal interpretation is shown to have a straightforward implementation using digital combinational logic with a variation of a previously developed programmable synapse circuit. This circuit is expected to be exploited for simple and straightforward implementation of future auto-adaptive neural circuits.

  6. Signature Region of Interest using Auto cropping

    CERN Document Server

    Al-Mahadeen, Bassam; AlTarawneh, Islam H

    2010-01-01

    A new approach for signature region of interest pre-processing was presented. It used new auto cropping preparation on the basis of the image content, where the intensity value of pixel is the source of cropping. This approach provides both the possibility of improving the performance of security systems based on signature images, and also the ability to use only the region of interest of the used image to suit layout design of biometric systems. Underlying the approach is a novel segmentation method which identifies the exact region of foreground of signature for feature extraction usage. Evaluation results of this approach shows encouraging prospects by eliminating the need for false region isolating, reduces the time cost associated with signature false points detection, and addresses enhancement issues. A further contribution of this paper is an automated cropping stage in bio-secure based systems.

  7. Auto-choreography: Animating Sentient Archives

    Directory of Open Access Journals (Sweden)

    Kim Satchell

    2010-03-01

    Full Text Available The stories lives tell, the narratives they follow and the spaces they embody are critical to articulating the conditions of everyday life. This resonates in the fraught relations within and between surf cultures, affluent societies and economic development. In the context of Rural Cultural Studies the analysis of coastal place allows for a combination of self-reflexive, critical and transformative modes of inquiry. This pedagogy of the coast offers innovative approaches to contemporary anthropogenic and existential challenges. For the Ecological Humanities, adjusting to living synergistically requires dialogue, ethical frameworks and care. This includes attention to the more-than human world and the non-human inhabitants with whose lives people become entangled in the mutuality of wandering paths and shared haunts. The imaginary-material architectures and geographies of these samples of coastal life, are topographies woven of spatiality and contemporary coastal writing. These contemplations attempt to sketch performative interactions from the auto-choreography animating sentient archives.

  8. Gasification characteristics of auto shredder residue

    International Nuclear Information System (INIS)

    Given the large volume of used tyre waste generated each year it is imperative that suitable re-use and disposal techniques are developed for dealing with this problem; presently these include rethreading, reprocessing for use as safe playground and sports surfaces, use as noise reduction barriers and utilisation as a fuel source. This paper reports on pilot scale studies designed to investigate the suitability of automotive waste for energy recovery via gasification. The study was carried out into auto shredder residue, which is a mixture of three distinct waste streams: tyres, rubber/plastic and general automotive waste. The tests included proximate, ultimate and elemental analysis, TGA, as well as calorific value determinations. In addition, the waste was tested in a desktop gasifier, and analysis was carried out to determine the presence and type of combustible gases. It was concluded that tyre waste and rubber/plastic waste are quite suitable fuels for gasification. (author)

  9. Biplots in Reduced-Rank Regression

    NARCIS (Netherlands)

    Braak, ter C.J.F.; Looman, C.W.N.

    1994-01-01

    Regression problems with a number of related response variables are typically analyzed by separate multiple regressions. This paper shows how these regressions can be visualized jointly in a biplot based on reduced-rank regression. Reduced-rank regression combines multiple regression and principal c

  10. Performance Optimization and Auto-Tuning

    Energy Technology Data Exchange (ETDEWEB)

    Howison, Mark

    2012-10-01

    In the broader computational research community, one subject of recent research is the problem of adapting algorithms to make effective use of multi- and many-core processors. Effective use of these architectures, which have complex memory hierarchies with many layers of cache, typically involves a careful examination of how an algorithm moves data through the memory hierarchy. Unfortunately, there is often a non-obvious relationship between algorithmic parameters like blocking strategies, and their impact on memory utilization, and, in turn, the relationship with runtime performance. Auto-tuning is an empirical method used to discover optimal values for tunable algorithmic parameters under such circumstances. The challenge is compounded by the fact that the settings that produce the best performance for a given problem and a given platform may not be the best for a different problem on the same platform, or the same problem on a different platform. The high performance visualization research community has begun to explore and adapt the principles of auto-tuning for the purpose of optimizing codes on modern multi- and many-core processors. This report focuses on how performance optimization studies reveal a dramatic variation in performance for two fundamental visualization algorithms: one based on a stencil operation having structured, uniform memory access, and the other is ray casting volume rendering, which uses unstructured memory access patterns. The two case studies highlighted in this report show the extra effort required to optimize such codes by adjusting the tunable algorithmic parameters can return substantial gains in performance. Additionally, these case studies also explore the potential impact of and the interaction between algorithmic optimizations and tunable algorithmic parameters, along with the potential performance gains resulting from leveraging architecture-specific features.

  11. Abstract Expression Grammar Symbolic Regression

    Science.gov (United States)

    Korns, Michael F.

    This chapter examines the use of Abstract Expression Grammars to perform the entire Symbolic Regression process without the use of Genetic Programming per se. The techniques explored produce a symbolic regression engine which has absolutely no bloat, which allows total user control of the search space and output formulas, which is faster, and more accurate than the engines produced in our previous papers using Genetic Programming. The genome is an all vector structure with four chromosomes plus additional epigenetic and constraint vectors, allowing total user control of the search space and the final output formulas. A combination of specialized compiler techniques, genetic algorithms, particle swarm, aged layered populations, plus discrete and continuous differential evolution are used to produce an improved symbolic regression sytem. Nine base test cases, from the literature, are used to test the improvement in speed and accuracy. The improved results indicate that these techniques move us a big step closer toward future industrial strength symbolic regression systems.

  12. ORDINAL REGRESSION FOR INFORMATION RETRIEVAL

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    This letter presents a new discriminative model for Information Retrieval (IR), referred to as Ordinal Regression Model (ORM). ORM is different from most existing models in that it views IR as ordinal regression problem (i.e. ranking problem) instead of binary classification. It is noted that the task of IR is to rank documents according to the user information needed, so IR can be viewed as ordinal regression problem. Two parameter learning algorithms for ORM are presented. One is a perceptron-based algorithm. The other is the ranking Support Vector Machine (SVM). The effectiveness of the proposed approach has been evaluated on the task of ad hoc retrieval using three English Text REtrieval Conference (TREC) sets and two Chinese TREC sets. Results show that ORM significantly outperforms the state-of-the-art language model approaches and OKAPI system in all test sets; and it is more appropriate to view IR as ordinal regression other than binary classification.

  13. Streamlining EPID-based IMRT quality assurance: auto-analysis and auto-report generation

    Science.gov (United States)

    Xing, Aitang; Arumugam, Sankar; Deshpande, Shrikant; Armia; George; Holloway, Lois; Goozee, Gary; Gray, Alison; Vial, Philip

    2014-03-01

    Using an EPID for patient specific IMRT QA is an efficient way to verify patient plans prior to the treatment. Our centres' current EPID dosimetry method is based on a water equivalent depth approach, where EPID images of each IMRT field are converted to dose images and compared to Treatment planning system calculated dose images using a commercial software tool. Two physicists across two sites perform the analysis for an average of 12 new IMRT patients per week. To speed up this process, an in-house program called AutoEPIDIMRTQA was developed. The program automatically performs the following tasks sequentially: reading and converting raw EPID images acquired on either a Siemens Oncor or Elekta Synergy linear accelerator, registering them with planar dose images calculated by Pinnacle (Philips) or CMS XiO (Elekta) treatment planning systems, analyzing the profiles for registered images and calculating the Gamma map. Finally an IMRT QA report is automatically generated. AutoEPIDIMRTQA was validated against commercial software. The analysis time for a typical 9-beam IMRT head-neck patient decreases from 30 minutes to 4 minutes. The total QA time was reduced by 40% using AutoEPIDIMRTQA. Thus we have demonstrated a significant reduction in the time burden for physics staff performing IMRT QA.

  14. Auto-Pattern Programmable Kernel Filter (Auto-PPKF for Suppression of Bot Generated Traffic

    Directory of Open Access Journals (Sweden)

    Kritika Govind

    2013-11-01

    Full Text Available Bots usually vary from their other malicious counter parts by periodically reporting to the botmaster through regular exchange of messages. Our experiments on bot attack generation showed a continuous exchange of packets with similar content between the botmaster and the zombie machine at various time intervals. Though there were also genuine packets with similar content being sent out of the victim machine challenge was to differentiate between the two and pass only the genuine ones. In this paper, an algorithm namely Auto-Pattern Programmable Kernel Filter (Auto-PPKF, for automatic detection of patterns from packet payload for filtering out malicious packets generated by bots is proposed. The significant feature of our proposed Auto-PPKF algorithm is that, the malicious pattern is deduced at kernel level on the fly from packet payload. Traditional algorithms such as Boyer Moore, Knuth Morris Patt, and Naive Pattern search algorithms require the pattern to be identified available a priori. Currently, Longest Common Subsequence (LCS algorithm stands as the most preferred algorithm for pattern matching. But the disadvantage is that common sequences can also exist in many genuine packets. Hence, the challenge lies in automatic detection of malicious patterns and filtering of the packets having such malicious patterns. This would not only put off the communication between the Botmaster and Zombie machine, but will also thus prevent user information from being sent to the botmaster.

  15. Streamlining EPID-based IMRT quality assurance: auto-analysis and auto-report generation

    International Nuclear Information System (INIS)

    Using an EPID for patient specific IMRT QA is an efficient way to verify patient plans prior to the treatment. Our centres' current EPID dosimetry method is based on a water equivalent depth approach, where EPID images of each IMRT field are converted to dose images and compared to Treatment planning system calculated dose images using a commercial software tool. Two physicists across two sites perform the analysis for an average of 12 new IMRT patients per week. To speed up this process, an in-house program called AutoEPIDIMRTQA was developed. The program automatically performs the following tasks sequentially: reading and converting raw EPID images acquired on either a Siemens Oncor or Elekta Synergy linear accelerator, registering them with planar dose images calculated by Pinnacle (Philips) or CMS XiO (Elekta) treatment planning systems, analyzing the profiles for registered images and calculating the Gamma map. Finally an IMRT QA report is automatically generated. AutoEPIDIMRTQA was validated against commercial software. The analysis time for a typical 9-beam IMRT head-neck patient decreases from 30 minutes to 4 minutes. The total QA time was reduced by 40% using AutoEPIDIMRTQA. Thus we have demonstrated a significant reduction in the time burden for physics staff performing IMRT QA.

  16. Testing Heteroscedasticity in Robust Regression

    Czech Academy of Sciences Publication Activity Database

    Kalina, Jan

    2011-01-01

    Roč. 1, č. 4 (2011), s. 25-28. ISSN 2045-3345 Grant ostatní: GA ČR(CZ) GA402/09/0557 Institutional research plan: CEZ:AV0Z10300504 Keywords : robust regression * heteroscedasticity * regression quantiles * diagnostics Subject RIV: BB - Applied Statistics, Operational Research http://www.researchjournals.co.uk/documents/Vol4/06%20Kalina.pdf

  17. Partially linear censored quantile regression

    OpenAIRE

    Neocleous, T.; Portnoy, S.

    2009-01-01

    Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate. In many cases however, greater flexibility is desired to go beyond the usual multiple regression paradigm. One area of common interest is that of partially linear models: one (or more) of the explanatory covariates are assumed to act on the response through a non-linear function. Here the CRQ approach of Portnoy (...

  18. On Regression Standardization for Moments

    OpenAIRE

    CLIFFORD C. CLOGG; SCOTT R. ELIASON

    1986-01-01

    Polynomial regression models can be used to standardize means of endogenous variables for moments of exogenous variables. In other words, standardized means obtained from polynomial models adjust for group differences in location and shape parameters that characterize distributions of exogenous variables. The suggested approach is a natural extension of the conventional method of regression standardization for means (or first moments) of exogenous variables, and it is a more direct analogue t...

  19. From Rasch scores to regression

    DEFF Research Database (Denmark)

    Christensen, Karl Bang

    2006-01-01

    Rasch models provide a framework for measurement and modelling latent variables. Having measured a latent variable in a population a comparison of groups will often be of interest. For this purpose the use of observed raw scores will often be inadequate because these lack interval scale propertie....... This paper compares two approaches to group comparison: linear regression models using estimated person locations as outcome variables and latent regression models based on the distribution of the score....

  20. Regression methods for medical research

    CERN Document Server

    Tai, Bee Choo

    2013-01-01

    Regression Methods for Medical Research provides medical researchers with the skills they need to critically read and interpret research using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid changes in science and technology, increasingly demands an understanding of more complex and sophisticated analytic procedures.The text explains the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are used to appropriately answer the

  1. Multiple Regressive Model Adaptive Control

    OpenAIRE

    Garipov, Emil; Stoilkov, Teodor; Kalaykov, Ivan

    2008-01-01

    The essence of the ideas applied to this text consists in the development of the strategy for control of the arbitrary in complexity continuous plant by means of a set of discrete timeinvariant linear controllers. Their number and tuned parameters correspond to the number and parameters of the linear time-invariant regressive models in the model bank, which approximate the complex plant dynamics in different operating points. Described strategy is known as Multiple Regressive Model Adaptive C...

  2. ISIR: Independent Sliced Inverse Regression

    OpenAIRE

    Li, Kevin

    2013-01-01

    International audience In this paper we consider a semiparametric regression model involving a $p$-dimensional explanatory variable ${\\mathbf{x}}$ and including a dimension reduction of ${\\mathbf{x}}$ via an index $B'{\\mathbf{x}}$. In this model, the main goal is to estimate $B$ and to predict the real response variable $Y$ conditionally to ${\\mathbf{x}}$. A standard approach is based on sliced inverse regression (SIR). We propose a new version of this method: the independent sliced invers...

  3. Digital control of the High-Altitude Balloon Experiment auto-alignment system

    Science.gov (United States)

    Schulthess, Marcus R.; Baugh, Steven

    1995-05-01

    The High Altitude Balloon Experiments (HABE) control architecture design focuses on establishing an inertial stabilized line-of-sight (LOS) for the tracking and laser pointing subsystems. High bandwidth LOS stabilization is implemented with an inertial reference measurement system. The Inertial Pseudo Star Reference Unit (IPSRU), and inertially stabilized two degree of freedom platform, generates an inertially stabilized alignment reference beam which probes the multiple aperture system. Fast steering mirrors (FSM) in optical alignment loops track the alignment reference beam performing jitter stabilization and boresight alignment. The auto alignment system operates in the primary aperture beam path, stabilizing the fine tracking sensor imagery and surrogate high energy laser pointing subsystem. Due to the superior performance of the IPSRU stabilization platform, aggregate LOS stabilization system base motion and optical jitter rejection is directly traceable to the auto alignment system control dynamics and sensor noise performance. Performance requirements specify two axis FSM control bandwidths of 500 Hz with a positioning resolution better that 300 nano-radians in output space. The digital control law is implemented in high performance digital processors with sample rates in excess of 15 kHz. This paper presents the bench top integration and testing of the digital auto alignment system beginning with a discussion as to the reason behind choosing a digital implementation, a opposed to a much simple analog implementation. A description of the error budget requirements of the HABE digital auto alignment loop follows. The components comprising the auto alignment loop, including mirror and processor hardware and software are described. Experimental objectives are presented with a description of the laboratory setup. Simulation models are constructed from component test data to aid in the development of the alignment system control architecture and discrete time

  4. AutoDrug: fully automated macromolecular crystallography workflows for fragment-based drug discovery

    International Nuclear Information System (INIS)

    New software has been developed for automating the experimental and data-processing stages of fragment-based drug discovery at a macromolecular crystallography beamline. A new workflow-automation framework orchestrates beamline-control and data-analysis software while organizing results from multiple samples. AutoDrug is software based upon the scientific workflow paradigm that integrates the Stanford Synchrotron Radiation Lightsource macromolecular crystallography beamlines and third-party processing software to automate the crystallography steps of the fragment-based drug-discovery process. AutoDrug screens a cassette of fragment-soaked crystals, selects crystals for data collection based on screening results and user-specified criteria and determines optimal data-collection strategies. It then collects and processes diffraction data, performs molecular replacement using provided models and detects electron density that is likely to arise from bound fragments. All processes are fully automated, i.e. are performed without user interaction or supervision. Samples can be screened in groups corresponding to particular proteins, crystal forms and/or soaking conditions. A single AutoDrug run is only limited by the capacity of the sample-storage dewar at the beamline: currently 288 samples. AutoDrug was developed in conjunction with RestFlow, a new scientific workflow-automation framework. RestFlow simplifies the design of AutoDrug by managing the flow of data and the organization of results and by orchestrating the execution of computational pipeline steps. It also simplifies the execution and interaction of third-party programs and the beamline-control system. Modeling AutoDrug as a scientific workflow enables multiple variants that meet the requirements of different user groups to be developed and supported. A workflow tailored to mimic the crystallography stages comprising the drug-discovery pipeline of CoCrystal Discovery Inc. has been deployed and successfully

  5. AutoDrug: fully automated macromolecular crystallography workflows for fragment-based drug discovery

    Energy Technology Data Exchange (ETDEWEB)

    Tsai, Yingssu [Stanford University, 2575 Sand Hill Road, Menlo Park, CA 94025 (United States); Stanford University, 333 Campus Drive, Mudd Building, Stanford, CA 94305-5080 (United States); McPhillips, Scott E.; González, Ana; McPhillips, Timothy M. [Stanford University, 2575 Sand Hill Road, Menlo Park, CA 94025 (United States); Zinn, Daniel [LogicBlox Inc., 1349 West Peachtree Street NW, Atlanta, GA 30309 (United States); Cohen, Aina E. [Stanford University, 2575 Sand Hill Road, Menlo Park, CA 94025 (United States); Feese, Michael D.; Bushnell, David [Cocrystal Discovery Inc., 19805 North Creek Parkway, Bothell, WA 98011 (United States); Tiefenbrunn, Theresa; Stout, C. David [The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037 (United States); Ludaescher, Bertram [University of California, One Shields Avenue, Davis, CA 95616 (United States); Hedman, Britt; Hodgson, Keith O. [Stanford University, 2575 Sand Hill Road, Menlo Park, CA 94025 (United States); Stanford University, 333 Campus Drive, Mudd Building, Stanford, CA 94305-5080 (United States); Soltis, S. Michael, E-mail: soltis@slac.stanford.edu [Stanford University, 2575 Sand Hill Road, Menlo Park, CA 94025 (United States)

    2013-05-01

    New software has been developed for automating the experimental and data-processing stages of fragment-based drug discovery at a macromolecular crystallography beamline. A new workflow-automation framework orchestrates beamline-control and data-analysis software while organizing results from multiple samples. AutoDrug is software based upon the scientific workflow paradigm that integrates the Stanford Synchrotron Radiation Lightsource macromolecular crystallography beamlines and third-party processing software to automate the crystallography steps of the fragment-based drug-discovery process. AutoDrug screens a cassette of fragment-soaked crystals, selects crystals for data collection based on screening results and user-specified criteria and determines optimal data-collection strategies. It then collects and processes diffraction data, performs molecular replacement using provided models and detects electron density that is likely to arise from bound fragments. All processes are fully automated, i.e. are performed without user interaction or supervision. Samples can be screened in groups corresponding to particular proteins, crystal forms and/or soaking conditions. A single AutoDrug run is only limited by the capacity of the sample-storage dewar at the beamline: currently 288 samples. AutoDrug was developed in conjunction with RestFlow, a new scientific workflow-automation framework. RestFlow simplifies the design of AutoDrug by managing the flow of data and the organization of results and by orchestrating the execution of computational pipeline steps. It also simplifies the execution and interaction of third-party programs and the beamline-control system. Modeling AutoDrug as a scientific workflow enables multiple variants that meet the requirements of different user groups to be developed and supported. A workflow tailored to mimic the crystallography stages comprising the drug-discovery pipeline of CoCrystal Discovery Inc. has been deployed and successfully

  6. PI controller relay auto-tuning using delay and phase margin in PMSM drives

    Directory of Open Access Journals (Sweden)

    Wang Lina

    2014-12-01

    Full Text Available This paper presents an auto-tuning method for a proportion plus integral (PI controller for permanent magnet synchronous motor (PMSM drives, which is supposed to be embedded in electro-mechanical actuator (EMA control module in aircraft. The method, based on a relay feedback with variable delay time, explores different critical points of the system frequency response. The Nyquist points of the plant can then be derived from the delay time and filter time constant. The coefficients of the PI controller can then be obtained by calculation while shifting the Nyquist point to a specific position to obtain the required phase margin. The major advantage of the auto-tuning method is that it can provide a series of tuning results for different system bandwidths and damping ratios, corresponding to the specification for delay time and phase margin. Simulation and experimental results for the PMSM controller verify the performance of both the current loop and the speed loop auto-tuning.

  7. PI controller relay auto-tuning using delay and phase margin in PMSM drives

    Institute of Scientific and Technical Information of China (English)

    Wang Lina; Xiao Kun; Liliana de Lillo; Lee Empringham; Pat Wheeler

    2014-01-01

    This paper presents an auto-tuning method for a proportion plus integral (PI) controller for permanent magnet synchronous motor (PMSM) drives, which is supposed to be embedded in electro-mechanical actuator (EMA) control module in aircraft. The method, based on a relay feed-back with variable delay time, explores different critical points of the system frequency response. The Nyquist points of the plant can then be derived from the delay time and filter time constant. The coefficients of the PI controller can then be obtained by calculation while shifting the Nyquist point to a specific position to obtain the required phase margin. The major advantage of the auto-tuning method is that it can provide a series of tuning results for different system bandwidths and damping ratios, corresponding to the specification for delay time and phase margin. Simulation and experimental results for the PMSM controller verify the performance of both the current loop and the speed loop auto-tuning.

  8. A Successful Seminar on China Auto industry and International Market

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    Since January 2004, the sales of autos are slowing down. it is mature for the fast developing Chinese auto industry to go out to the international market. Meanwhile, the "early harvest" scheme is implemented in China and ASEAN Free Trade Area and the exchange visits of high-ranking officials are more frequently. After the ASEAN Business Meeting held in Malaysia this April, China-ASEAN Summit on Investment and Trade is to be held in Laos in November.In order to promote Chinese autos to go out cooperating...

  9. Auto-focusing accelerating hyper-geometric laser beams

    Science.gov (United States)

    Kovalev, A. A.; Kotlyar, V. V.; Porfirev, A. P.

    2016-02-01

    We derive a new solution to the paraxial wave equation that defines a two-parameter family of three-dimensional structurally stable vortex annular auto-focusing hyper-geometric (AH) beams, with their complex amplitude expressed via a degenerate hyper-geometric function. The AH beams are found to carry an orbital angular momentum and be auto-focusing, propagating on an accelerating path toward a focus, where the annular intensity pattern is ‘sharply’ reduced in diameter. An explicit expression for the complex amplitude of vortex annular auto-focusing hyper-geometric-Gaussian beams is derived. The experiment has been shown to be in good agreement with theory.

  10. Biplots in Reduced-Rank Regression

    OpenAIRE

    Braak, ter, C.J.F.; Looman, C.W.N.

    1994-01-01

    Regression problems with a number of related response variables are typically analyzed by separate multiple regressions. This paper shows how these regressions can be visualized jointly in a biplot based on reduced-rank regression. Reduced-rank regression combines multiple regression and principal components analysis and can therefore be carried out with standard statistical packages. The proposed biplot highlights the major aspects of the regressions by displaying the least-squares approxima...

  11. Using VBA Technology to do the Second Development of AutoCAD%应用VBA技术进行AutoCAD二次开发

    Institute of Scientific and Technical Information of China (English)

    吴业红

    2009-01-01

    AutoCAD制图应用过程中,需要开发一些符合用户需求的AutoCAD工具.VBA是一种对AutoCAD进行二次开发的灵活手段.应用VBA技术控制在AutoCAD环境中绘图,探讨它在AutoCAD二次开发中,VBA程序语句设计的基本步骤、具体实现过程,达到绘制所需要AutoCAD图形的目的.

  12. Analysis of Construction Drawing Based on AutoCAD%基于AutoCAD的建筑制图应用分析

    Institute of Scientific and Technical Information of China (English)

    游普元

    2011-01-01

    随着科技的飞速发展,AutoCAD的建筑制图在建筑领域得到了广泛的应用,并且受到了更多的关注.文章从建筑制图中AutoCAD的教学应用;AutoCAD的初始设置应用与AutoCAD制图设置应用以及AutoCAD在建筑制图中的技巧应用方面对AutoCAD的建筑制图应用进行了分析.

  13. Certifying Auto-Generated Flight Code

    Science.gov (United States)

    Denney, Ewen

    2008-01-01

    Model-based design and automated code generation are being used increasingly at NASA. Many NASA projects now use MathWorks Simulink and Real-Time Workshop for at least some of their modeling and code development. However, there are substantial obstacles to more widespread adoption of code generators in safety-critical domains. Since code generators are typically not qualified, there is no guarantee that their output is correct, and consequently the generated code still needs to be fully tested and certified. Moreover, the regeneration of code can require complete recertification, which offsets many of the advantages of using a generator. Indeed, manual review of autocode can be more challenging than for hand-written code. Since the direct V&V of code generators is too laborious and complicated due to their complex (and often proprietary) nature, we have developed a generator plug-in to support the certification of the auto-generated code. Specifically, the AutoCert tool supports certification by formally verifying that the generated code is free of different safety violations, by constructing an independently verifiable certificate, and by explaining its analysis in a textual form suitable for code reviews. The generated documentation also contains substantial tracing information, allowing users to trace between model, code, documentation, and V&V artifacts. This enables missions to obtain assurance about the safety and reliability of the code without excessive manual V&V effort and, as a consequence, eases the acceptance of code generators in safety-critical contexts. The generation of explicit certificates and textual reports is particularly well-suited to supporting independent V&V. The primary contribution of this approach is the combination of human-friendly documentation with formal analysis. The key technical idea is to exploit the idiomatic nature of auto-generated code in order to automatically infer logical annotations. The annotation inference algorithm

  14. Bioprocess data mining using regularized regression and random forests

    OpenAIRE

    Hassan, Syeda Sakira; Farhan, Muhammad; Mangayil, Rahul; Huttunen, Heikki; Aho, Tommi

    2013-01-01

    Background In bioprocess development, the needs of data analysis include (1) getting overview to existing data sets, (2) identifying primary control parameters, (3) determining a useful control direction, and (4) planning future experiments. In particular, the integration of multiple data sets causes that these needs cannot be properly addressed by regression models that assume linear input-output relationship or unimodality of the response function. Regularized regression and random forests,...

  15. 关于AutoCAD绘图加速的研究

    Institute of Scientific and Technical Information of China (English)

    王立伟; 廖福斌

    2003-01-01

    本文在多年AutoCAD绘图实践的基础上,提出了"合理使用AutoCAD提供的基本功能"和"定制AutoCAD"两类AutoCAD绘图加速的方法,并对其中的具体实现技术进行了详细阐述.

  16. 关于AutoCAD绘图方法与技巧的探讨

    Institute of Scientific and Technical Information of China (English)

    李秀凤

    2015-01-01

    通过多年使用AutoCAD,总结一些如AutoCAD和Excel互换、功能键巧妙使用、AutoCAD绘图和修改等能够快速绘图的方法与实用技巧,达到利用AutoCAD快速绘图的目的。

  17. Interpretation of Standardized Regression Coefficients in Multiple Regression.

    Science.gov (United States)

    Thayer, Jerome D.

    The extent to which standardized regression coefficients (beta values) can be used to determine the importance of a variable in an equation was explored. The beta value and the part correlation coefficient--also called the semi-partial correlation coefficient and reported in squared form as the incremental "r squared"--were compared for variables…

  18. Survival Data and Regression Models

    Science.gov (United States)

    Grégoire, G.

    2014-12-01

    We start this chapter by introducing some basic elements for the analysis of censored survival data. Then we focus on right censored data and develop two types of regression models. The first one concerns the so-called accelerated failure time models (AFT), which are parametric models where a function of a parameter depends linearly on the covariables. The second one is a semiparametric model, where the covariables enter in a multiplicative form in the expression of the hazard rate function. The main statistical tool for analysing these regression models is the maximum likelihood methodology and, in spite we recall some essential results about the ML theory, we refer to the chapter "Logistic Regression" for a more detailed presentation.

  19. FBH1 Catalyzes Regression of Stalled Replication Forks

    DEFF Research Database (Denmark)

    Fugger, Kasper; Mistrik, Martin; Neelsen, Kai J;

    2015-01-01

    DNA replication fork perturbation is a major challenge to the maintenance of genome integrity. It has been suggested that processing of stalled forks might involve fork regression, in which the fork reverses and the two nascent DNA strands anneal. Here, we show that FBH1 catalyzes regression of a...... model whereby FBH1 promotes early checkpoint signaling by remodeling of stalled DNA replication forks....... model replication fork in vitro and promotes fork regression in vivo in response to replication perturbation. Cells respond to fork stalling by activating checkpoint responses requiring signaling through stress-activated protein kinases. Importantly, we show that FBH1, through its helicase activity, is...

  20. Regression filter for signal resolution

    International Nuclear Information System (INIS)

    The problem considered is that of resolving a measured pulse height spectrum of a material mixture, e.g. gamma ray spectrum, Raman spectrum, into a weighed sum of the spectra of the individual constituents. The model on which the analytical formulation is based is described. The problem reduces to that of a multiple linear regression. A stepwise linear regression procedure was constructed. The efficiency of this method was then tested by transforming the procedure in a computer programme which was used to unfold test spectra obtained by mixing some spectra, from a library of arbitrary chosen spectra, and adding a noise component. (U.K.)

  1. Quasi-least squares regression

    CERN Document Server

    Shults, Justine

    2014-01-01

    Drawing on the authors' substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression-a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods. They describe how QLS can be used to extend the application of the traditional GEE approach to the analysis of unequally spaced longitu

  2. Assessment of deforestation using regression

    International Nuclear Information System (INIS)

    This work is devoted to the evaluation of deforestation using regression methods through software Idrisi Taiga. Deforestation is evaluated by the method of logistic regression. The dependent variable has discrete values '0' and '1', indicating that the deforestation occurred or not. Independent variables have continuous values, expressing the distance from the edge of the deforested areas of forests from urban areas, the river and the road network. The results were also used in predicting the probability of deforestation in subsequent periods. The result is a map showing the output probability of deforestation for the periods 1990/2000 and 200/2006 in accordance with predetermined coefficients (values of independent variables). (authors)

  3. Characterization of an Auto-Compatible Default Theory

    Institute of Scientific and Technical Information of China (English)

    XU DaoYun(许道云); DING DeCheng(丁德成); ZHANG MingYi(张明义)

    2003-01-01

    In this paper, an equivalence condition for deciding whether a default theory isan auto-compatible default one is presented. Under the condition, the existence of extension of anauto-compatible default theory is a natural result. By introducing a well-ordering over the set D ofdefault rules, the extensions of an auto-compatible default theory (D, W) can be computed directly.The condition represents clearly the characterization of an auto-compatible default theory, andsome properties about auto-compatible default theory, such as semi-monotonicity, become naturalcorollaries. Based on the characterization, the revision of default beliefs is discussed to ensure theexistence of extension of the default theory, and the method is applied to investigate stable modelsof a general logic program.

  4. AutoCategorization for Customized Knowledge Portals Project

    Data.gov (United States)

    National Aeronautics and Space Administration — An AutoCategorizing Knowledge Management Engine ("AKM") will automate key capabilities for both human-human and human-agent collaboration tools in aerospace...

  5. DEPAS: A Decentralized Probabilistic Algorithm for Auto-Scaling

    CERN Document Server

    Calcavecchia, Nicolo M; Di Nitto, Elisabetta; Dubois, Daniel J; Petcu, Dana

    2012-01-01

    The dynamic provisioning of virtualized resources offered by cloud computing infrastructures allows applications deployed in a cloud environment to automatically increase and decrease the amount of used resources. This capability is called auto-scaling and its main purpose is to automatically adjust the scale of the system that is running the application to satisfy the varying workload with minimum resource utilization. The need for auto-scaling is particularly important during workload peaks, in which applications may need to scale up to extremely large-scale systems. Both the research community and the main cloud providers have already developed auto-scaling solutions. However, most research solutions are centralized and not suitable for managing large-scale systems, moreover cloud providers' solutions are bound to the limitations of a specific provider in terms of resource prices, availability, reliability, and connectivity. In this paper we propose DEPAS, a decentralized probabilistic auto-scaling algorit...

  6. Auto-control facility for sodium removal by chemical clean

    International Nuclear Information System (INIS)

    The author describes the technological process of sodium removal and micro-computer control system on sodium cleaning facility. Micro-computer auto-monitoring and controlling are realized in the cleaning process. The controlled results are satisfactory

  7. Auto-regenerative thermoluminescence dating using zircon inclusions

    International Nuclear Information System (INIS)

    Fired ceramics containing zircon inclusions have been dated by allowing the zircons to regenerate their own thermoluminescence (TL) signal, hence auto-regenerative TL dating. The technique is conceptually straightforward. One first measures the TL accrued since the last heating of the material. The zircon grains are then stored for six months and the TL signal regenerated through self-irradiation is measured. Since the internal dose-rate for zircon is dominated by the internal component the age of the sample is simply given by the ratio of the natural to auto-regenerated signal times the laboratory storage period. The technique, however, requires the measurement of a very small auto-regenerated signal, which introduces a number of experimental and physical complications. The methods for overcoming these problems and successfully dating zircons by auto-regeneration are described. (Author)

  8. Auto-Faxing imaging reports to referring physicians

    OpenAIRE

    Robertson, Pauline; Day, Dennis; Leung, Desmond; Chien, Eugene; Lima-Simao, Fatima

    1997-01-01

    One of the major service issues within Medical Imaging is delivering reports quickly to referring physicians. As an effort to improve service, Mount Sinai Hospital’s Department of Medical Imaging implemented Auto-Fax to distribute imaging reports to physicians instead of the postal service. When a report is transcribed and then verified by the dictating radiologist, the radiology information system will automatically fax the result report to the referring physicians if subscribed to the Auto-...

  9. Parliament tears up 'feeble' auto-oil proposals

    International Nuclear Information System (INIS)

    Recent discussions in the European Parliament concerning the ''auto-oil'' proposals, i.e. the effects of automotive fuel specifications on the environment, are described in this paper. Legislative changes or amendments proposed by various national, or other interest groups are also noted. In particular, the sulphur content of diesel fuels is a matter of widespread concern because of its use for city taxis and buses. Further fuel proposals in the ''auto-oil'' style are expected in the near future. (UK)

  10. Auto-measuring System of 3- Dimensional Human Body

    Institute of Scientific and Technical Information of China (English)

    李勇; 尚保平; 付小莉; 尚会超

    2001-01-01

    To realize the automation of fashion industry measuring,designing and manufacturing, the auto-measurement of 3D size of human body is of great importance. The auto measurement system of 3D human body based on Charge Coupled Devices (CCD) and infrared sensors is presented in this paper. The system can measure the bare size of human body that excludes the effect of clothing quickly and accurately.

  11. GPS technology to monitoring auto transport in Latvia

    Directory of Open Access Journals (Sweden)

    Victor Boicov

    2014-01-01

    Full Text Available This paper is the result of authors’ activities in the field of research and implementation of global positioning system (GPS technologies in the Latvian car industry. The subject of study is the characteristics of Latvian auto transport management. Topicality and importance of this issue are related with new GPS applications to auto transport monitoring. Principal practical application of this paper is reflected in the methodology developed by the authors in order to design, elaborate and introduce GPS systems.

  12. Collective Mind: Towards Practical and Collaborative Auto-Tuning

    OpenAIRE

    Grigori Fursin; Renato Miceli; Anton Lokhmotov; Michael Gerndt; Marc Baboulin; Malony, Allen D.; Zbigniew Chamski; Diego Novillo; Davide Del Vento

    2014-01-01

    Empirical auto-tuning and machine learning techniques have been showing high potential to improve execution time, power consumption, code size, reliability and other important metrics of various applications for more than two decades. However, they are still far from widespread production use due to lack of native support for auto-tuning in an ever changing and complex software and hardware stack, large and multi-dimensional optimization spaces, excessively long exploration times, and lack of...

  13. Auto-calibrated Online Evaluation: Database Design and Implementation

    OpenAIRE

    JÄNTSCHI, Lorentz; Bolboacă, Sorana-Daniela

    2006-01-01

    An auto-calibrated online evaluation system for student knowledge assessment was developed and has been implemented at the Faculty of Materials Science and Engineering, the Technical University of Cluj-Napoca. The system is available for students’ end-of-course evaluation on physical chemistry, microbiology and toxicology, and materials chemistry topics and it can be used at the test center. The auto-calibrated online evaluation methodology, databases and program implementation, computer-syst...

  14. Auto-identification fiberoptical seal verifier

    International Nuclear Information System (INIS)

    An auto COBRA seal verifier was developed by Japan Atomic Energy Research Institute (JAERI) to provide more efficient and simpler inspection measures for IAEA safeguards. The verifier is designed to provide means of a simple, quantitative and objective judgment on in-situ verification for the COBRA seal. The equipment is a portable unit with hand-held weight and size. It can be operated by battery or AC power. The verifier reads a COBRA seal signature by using a built-in CCD camera and carries out the signature comparison procedure automatically on digital basis. The result of signature comparison is given as a YES/NO answer. The production model of the verifier was completed in July 1996. The development was carried out in collaboration with Mitsubishi Heavy Industries, Ltd. This report describes the design and functions of the COBRA seal verifier and the results of environmental and functional tests. The development of the COBRA seal verifier was carried out in the framework of Japan Support Programme for Agency Safeguards (JASPAS) as a project, JD-4 since 1981. (author)

  15. Polarization Imaging Apparatus with Auto-Calibration

    Science.gov (United States)

    Zou, Yingyin Kevin (Inventor); Zhao, Hongzhi (Inventor); Chen, Qiushui (Inventor)

    2013-01-01

    A polarization imaging apparatus measures the Stokes image of a sample. The apparatus consists of an optical lens set, a first variable phase retarder (VPR) with its optical axis aligned 22.5 deg, a second variable phase retarder with its optical axis aligned 45 deg, a linear polarizer, a imaging sensor for sensing the intensity images of the sample, a controller and a computer. Two variable phase retarders were controlled independently by a computer through a controller unit which generates a sequential of voltages to control the phase retardations of the first and second variable phase retarders. A auto-calibration procedure was incorporated into the polarization imaging apparatus to correct the misalignment of first and second VPRs, as well as the half-wave voltage of the VPRs. A set of four intensity images, I(sub 0), I(sub 1), I(sub 2) and I(sub 3) of the sample were captured by imaging sensor when the phase retardations of VPRs were set at (0,0), (pi,0), (pi,pi) and (pi/2,pi), respectively. Then four Stokes components of a Stokes image, S(sub 0), S(sub 1), S(sub 2) and S(sub 3) were calculated using the four intensity images.

  16. Information Processing in Auto-regulated Systems

    Directory of Open Access Journals (Sweden)

    Karl Javorszky

    2003-06-01

    Full Text Available Abstract: We present a model of information processing which is based on two concurrent ways of describing the world, where a description in one of the languages limits the possibilities for realisations in the other language. The two describing dimensions appear in our common sense as dichotomies of perspectives: subjective - objective; diversity - similarity; individual - collective. We abstract from the subjective connotations and treat the test theoretical case of an interval on which several concurrent categories can be introduced. We investigate multidimensional partitions as potential carriers of information and compare their efficiency to that of sequenced carriers. We regard the same assembly once as a contemporary collection, once as a longitudinal sequence and find promising inroads towards understanding information processing by auto-regulated systems. Information is understood to point out that what is the case from among alternatives, which could be the case. We have translated these ideas into logical operations on the set of natural numbers and have found two equivalence points on N where matches between sequential and commutative ways of presenting a state of the world can agree in a stable fashion: a flip-flop mechanism is envisioned. By following this new approach, a mathematical treatment of some poignant biomathematical problems is allowed. Also, the concepts presented in this treatise may well have relevance and applications within the information processing and the theory of language fields.

  17. An Industry without Industrialization: the Political Economy of The Failure of Indonesia's Auto Industry

    OpenAIRE

    Tai, Wan-Ping

    2014-01-01

    The development of auto industry needs a series of related policies and conditions, including market, technology, management, basic infrastructure, etc. Several Southeast Asian countries are hoping to develop their auto industries in order to lead the development of other industries in their countries. Having the largest auto market in Southeast Asia, Indonesia is supposed to have more favorable conditions than Thailand and Malaysia on the development of auto industry. Unlike Malaysia's auto ...

  18. Auto and crosscorrelograms for the spike response of LIF neurons with slow synapses

    CERN Document Server

    Moreno-Bote, Ruben

    2006-01-01

    An analytical description of the response properties of simple but realistic neuron models in the presence of noise is still lacking. We determine completely up to the second order the firing statistics of a single and a pair of leaky integrate-and-fire neurons (LIFs) receiving some common slowly filtered white noise. In particular, the auto- and cross-correlation functions of the output spike trains of pairs of cells are obtained from an improvement of the adiabatic approximation introduced in \\cite{Mor+04}. These two functions define the firing variability and firing synchronization between neurons, and are of much importance for understanding neuron communication.

  19. Growth Regression and Economic Theory

    NARCIS (Netherlands)

    Elbers, Chris; Gunning, Jan Willem

    2002-01-01

    In this note we show that the standard, loglinear growth regression specificationis consistent with one and only one model in the class of stochastic Ramsey models. Thismodel is highly restrictive: it requires a Cobb-Douglas technology and a 100% depreciationrate and it implies that risk does not af

  20. On Weighted Support Vector Regression

    DEFF Research Database (Denmark)

    Han, Xixuan; Clemmensen, Line Katrine Harder

    2014-01-01

    We propose a new type of weighted support vector regression (SVR), motivated by modeling local dependencies in time and space in prediction of house prices. The classic weights of the weighted SVR are added to the slack variables in the objective function (OF‐weights). This procedure directly...

  1. Regression of lumbar disk herniation

    Directory of Open Access Journals (Sweden)

    G. Yu Evzikov

    2015-01-01

    Full Text Available Compression of the spinal nerve root, giving rise to pain and sensory and motor disorders in the area of its innervation is the most vivid manifestation of herniated intervertebral disk. Different treatment modalities, including neurosurgery, for evolving these conditions are discussed. There has been recent evidence that spontaneous regression of disk herniation can regress. The paper describes a female patient with large lateralized disc extrusion that has caused compression of the nerve root S1, leading to obvious myotonic and radicular syndrome. Magnetic resonance imaging has shown that the clinical manifestations of discogenic radiculopathy, as well myotonic syndrome and morphological changes completely regressed 8 months later. The likely mechanism is inflammation-induced resorption of a large herniated disk fragment, which agrees with the data available in the literature. A decision to perform neurosurgery for which the patient had indications was made during her first consultation. After regression of discogenic radiculopathy, there was only moderate pain caused by musculoskeletal diseases (facet syndrome, piriformis syndrome that were successfully eliminated by minimally invasive techniques. 

  2. Cactus: An Introduction to Regression

    Science.gov (United States)

    Hyde, Hartley

    2008-01-01

    When the author first used "VisiCalc," the author thought it a very useful tool when he had the formulas. But how could he design a spreadsheet if there was no known formula for the quantities he was trying to predict? A few months later, the author relates he learned to use multiple linear regression software and suddenly it all clicked into…

  3. Heteroscedasticity checks for regression models

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    For checking on heteroscedasticity in regression models, a unified approach is proposed to constructing test statistics in parametric and nonparametric regression models. For nonparametric regression, the test is not affected sensitively by the choice of smoothing parameters which are involved in estimation of the nonparametric regression function. The limiting null distribution of the test statistic remains the same in a wide range of the smoothing parameters. When the covariate is one-dimensional, the tests are, under some conditions, asymptotically distribution-free. In the high-dimensional cases, the validity of bootstrap approximations is investigated. It is shown that a variant of the wild bootstrap is consistent while the classical bootstrap is not in the general case, but is applicable if some extra assumption on conditional variance of the squared error is imposed. A simulation study is performed to provide evidence of how the tests work and compare with tests that have appeared in the literature. The approach may readily be extended to handle partial linear, and linear autoregressive models.

  4. Fuzzy linear regression forecasting models

    Institute of Scientific and Technical Information of China (English)

    吴冲; 惠晓峰; 朱洪文

    2002-01-01

    The fuzzy linear regression forecasting model is deduced from the symmetric triangular fuzzy number.With the help of the degree of fitting and the measure of fuzziness, the determination of symmetric triangularfuzzy numbers is changed into a problem of solving linear programming.

  5. Correlation Weights in Multiple Regression

    Science.gov (United States)

    Waller, Niels G.; Jones, Jeff A.

    2010-01-01

    A general theory on the use of correlation weights in linear prediction has yet to be proposed. In this paper we take initial steps in developing such a theory by describing the conditions under which correlation weights perform well in population regression models. Using OLS weights as a comparison, we define cases in which the two weighting…

  6. Fungible Weights in Multiple Regression

    Science.gov (United States)

    Waller, Niels G.

    2008-01-01

    Every set of alternate weights (i.e., nonleast squares weights) in a multiple regression analysis with three or more predictors is associated with an infinite class of weights. All members of a given class can be deemed "fungible" because they yield identical "SSE" (sum of squared errors) and R[superscript 2] values. Equations for generating…

  7. 使用AutoCAD快速准确绘图经验谈%Quickly and Accurately Using the AutoCAD Drawing Experience

    Institute of Scientific and Technical Information of China (English)

    徐洪池

    2013-01-01

      AutoCAD software is an important tool for computer-aided design, but it is not easy to master for beginners, from how to improve the drawing speed and how accurate drawing two angles of an effective way to use AutoCAD, and share the learning and use of AutoCAD expe⁃rience the hope that helpful AutoCAD learners.%  AutoCAD软件是计算机辅助设计的重要工具,但对初学者并不易掌握,文章从如何提高绘图速度和如何准确绘图两个角度介绍了使用AutoCAD的有效方法,并分享了AutoCAD的学习和使用心得,希望对AutoCAD的学习者有所帮助。

  8. Set Out,Chinese Auto's Latin-American Tour!——The 7th China Auto International Exhibition Tour

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    @@ Since 1995,China Auto International Exhibition Tour has been held for six times in China,Vietnam,Cambodia,Syria,Russia,Algeria and other countries successfully,by forms of fixed exhibitions and exhibition tours.

  9. An asymmetric MOSFET-C band-pass filter with on-chip charge pump auto-tuning

    International Nuclear Information System (INIS)

    An asymmetric MOSFET-C band-pass filter (BPF) with on chip charge pump auto-tuning is presented. It is implemented in UMC (United Manufacturing Corporation) 0.18 μm CMOS process technology. The filter system with auto-tuning uses a master-slave technique for continuous tuning in which the charge pump outputs 2.663 V, much higher than the power supply voltage, to improve the linearity of the filter. The main filter with third order low-pass and second order high-pass properties is an asymmetric band-pass filter with bandwidth of 2.730-5.340 MHz. The in-band third order harmonic input intercept point (IIP3) is 16.621 dBm, with 50 Ω as the source impedance. The input referred noise is about 47.455 μVrms. The main filter dissipates 3.528 mW while the auto-tuning system dissipates 2.412 mW from a 1.8 V power supply. The filter with the auto-tuning system occupies 0.592 mm2 and it can be utilized in GPS (global positioning system) and Bluetooth systems. (semiconductor integrated circuits)

  10. An asymmetric MOSFET-C band-pass filter with on-chip charge pump auto-tuning

    Energy Technology Data Exchange (ETDEWEB)

    Chen Fangxiong; Ma Heping; Jia Hailong; Shi Yin [Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083 (China); Lin Min [Suzhou-CAS Semiconductors Integrated Technology Research Center, Suzhou 215021 (China); Dai, Forster, E-mail: fxchen@semi.ac.c [Department of Electrical and Computer Engineering, Auburn University, AL 36849 (United States)

    2009-08-15

    An asymmetric MOSFET-C band-pass filter (BPF) with on chip charge pump auto-tuning is presented. It is implemented in UMC (United Manufacturing Corporation) 0.18 {mu}m CMOS process technology. The filter system with auto-tuning uses a master-slave technique for continuous tuning in which the charge pump outputs 2.663 V, much higher than the power supply voltage, to improve the linearity of the filter. The main filter with third order low-pass and second order high-pass properties is an asymmetric band-pass filter with bandwidth of 2.730-5.340 MHz. The in-band third order harmonic input intercept point (IIP3) is 16.621 dBm, with 50 {Omega} as the source impedance. The input referred noise is about 47.455 {mu}V{sub rms}. The main filter dissipates 3.528 mW while the auto-tuning system dissipates 2.412 mW from a 1.8 V power supply. The filter with the auto-tuning system occupies 0.592 mm{sup 2} and it can be utilized in GPS (global positioning system) and Bluetooth systems. (semiconductor integrated circuits)

  11. 简述AutoCAD 2004二次开发工具%The Discussion about the Tools in the Secondary Development of AutoCAD2004

    Institute of Scientific and Technical Information of China (English)

    吴成军

    2009-01-01

    文章对AutoCAD 2004的二次开发工具进行了较为详细的介绍,并对AutoCAD 2004各种二次开发工具的特点进行了分析和比较.为AutoCAD 2004软件使用者进行基于AutoCAD 2004进行二次开发提供了有益的参考.

  12. Varying-coefficient functional linear regression

    OpenAIRE

    Wu, Yichao; Fan, Jianqing; Müller, Hans-Georg

    2010-01-01

    Functional linear regression analysis aims to model regression relations which include a functional predictor. The analog of the regression parameter vector or matrix in conventional multivariate or multiple-response linear regression models is a regression parameter function in one or two arguments. If, in addition, one has scalar predictors, as is often the case in applications to longitudinal studies, the question arises how to incorporate these into a functional regression model. We study...

  13. Auto-Ignition and Heat Release Correlations for Controlled Auto-Ignition Combustion in Gasoline Engines

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Auto-ignition and heat release correlations for controlled auto-ignition (CAI) combustion were derived from extensive in-cylinder pressure data of a four-stroke gasoline engine operating in CAI combustion mode. Abundant experiments were carried out under a wide range of air/fuel ratio,speed and residual gas fraction to ensure that the combustion correlations can be used in the entire CAI engine operation range. Furthermore, a more accurate method to compute the residual gas fraction was proposed by calculating the working fluid temperature at the exhaust valve close timing in the experiments. The heat release correlation was described in two parts, one is for the first slower heat release process at low temperature, and the other is for the second faster heat release process at high temperature. Finally the heat release correlation was evaluated on the single cylinder gasoline engine running with CAI combustion by comparing the experimental data with the 1-D engine simulation results obtained with the aid of the GT-Power simulation program. The results show that the predicted loads and ignition timings match closely with the measurements.

  14. Vybrané problémy marketingové strategie ŠKODA AUTO a.s.

    OpenAIRE

    Češková, Lenka

    2008-01-01

    Škoda Auto is one of the most important companies in the Czech Republic. The company not only sells cars, but also provides services, sells Škoda Genuine Parts and Škoda Genuine Accessories. Customers know services as Škoda Service. All these aftersales activities are integral part of the brand. Master thesis put emphasis on external communication of Škoda Service. Master thesis describes external communication and proposes new communication methods.

  15. Heteroscedasticity checks for regression models

    Institute of Scientific and Technical Information of China (English)

    ZHU; Lixing

    2001-01-01

    [1]Carroll, R. J., Ruppert, D., Transformation and Weighting in Regression, New York: Chapman and Hall, 1988.[2]Cook, R. D., Weisberg, S., Diagnostics for heteroscedasticity in regression, Biometrika, 1988, 70: 1—10.[3]Davidian, M., Carroll, R. J., Variance function estimation, J. Amer. Statist. Assoc., 1987, 82: 1079—1091.[4]Bickel, P., Using residuals robustly I: Tests for heteroscedasticity, Ann. Statist., 1978, 6: 266—291.[5]Carroll, R. J., Ruppert, D., On robust tests for heteroscedasticity, Ann. Statist., 1981, 9: 205—209.[6]Eubank, R. L., Thomas, W., Detecting heteroscedasticity in nonparametric regression, J. Roy. Statist. Soc., Ser. B, 1993, 55: 145—155.[7]Diblasi, A., Bowman, A., Testing for constant variance in a linear model, Statist. and Probab. Letters, 1997, 33: 95—103.[8]Dette, H., Munk, A., Testing heteoscedasticity in nonparametric regression, J. R. Statist. Soc. B, 1998, 60: 693—708.[9]Müller, H. G., Zhao, P. L., On a semi-parametric variance function model and a test for heteroscedasticity, Ann. Statist., 1995, 23: 946—967.[10]Stute, W., Manteiga, G., Quindimil, M. P., Bootstrap approximations in model checks for regression, J. Amer. Statist. Asso., 1998, 93: 141—149.[11]Stute, W., Thies, G., Zhu, L. X., Model checks for regression: An innovation approach, Ann. Statist., 1998, 26: 1916—1939.[12]Shorack, G. R., Wellner, J. A., Empirical Processes with Applications to Statistics, New York: Wiley, 1986.[13]Efron, B., Bootstrap methods: Another look at the jackknife, Ann. Statist., 1979, 7: 1—26.[14]Wu, C. F. J., Jackknife, bootstrap and other re-sampling methods in regression analysis, Ann. Statist., 1986, 14: 1261—1295.[15]H rdle, W., Mammen, E., Comparing non-parametric versus parametric regression fits, Ann. Statist., 1993, 21: 1926—1947.[16]Liu, R. Y., Bootstrap procedures under some non-i.i.d. models, Ann. Statist., 1988, 16: 1696—1708.[17

  16. Observational Studies: Matching or Regression?

    Science.gov (United States)

    Brazauskas, Ruta; Logan, Brent R

    2016-03-01

    In observational studies with an aim of assessing treatment effect or comparing groups of patients, several approaches could be used. Often, baseline characteristics of patients may be imbalanced between groups, and adjustments are needed to account for this. It can be accomplished either via appropriate regression modeling or, alternatively, by conducting a matched pairs study. The latter is often chosen because it makes groups appear to be comparable. In this article we considered these 2 options in terms of their ability to detect a treatment effect in time-to-event studies. Our investigation shows that a Cox regression model applied to the entire cohort is often a more powerful tool in detecting treatment effect as compared with a matched study. Real data from a hematopoietic cell transplantation study is used as an example. PMID:26712591

  17. Functional linear regression with derivatives

    OpenAIRE

    Mas, André; Pumo, Besnik

    2006-01-01

    International audience We introduce a new model of linear regression for random functional inputs taking into account the first order derivative of the data. We propose an estimation method which comes down to solving a special linear inverse problem. Our procedure tackles the problem through a double and synchronized penalization. An asymptotic expansion of the mean square prevision error is given. The model and the method are applied to a benchmark dataset of spectrometric curves and com...

  18. The Standard Error of Regressions

    OpenAIRE

    Deirdre N. McCloskey; Stephen T. Ziliak

    1996-01-01

    Statistical significance as used in economics has weak theoretical justification. In particular it merges statistical and substantive significance. The 182 papers using regression analysis in the American Economic Review in the 1980s were tested against 19 criteria for the accepted use of statistical significance. Most, some three-quarters of the papers, did poorly. Likewise, textbooks in econometrics do not distinguish statistical and economic significance. Statistical significance should no...

  19. On Heteroscedasticity in Robust Regression

    Czech Academy of Sciences Publication Activity Database

    Kalina, Jan

    Slaný : Melandrium, 2011 - (Löster, T.), s. 228-237 ISBN 978-80-86175-77-5. [International Days of Statistics and Economics /5./. Prague (CZ), 22.09.2011-23.09.2011] Grant ostatní: GA ČR(CZ) GA402/09/0732 Institutional research plan: CEZ:AV0Z10300504 Keywords : robust statistics * linear regression * diagnostics Subject RIV: BB - Applied Statistics, Operational Research http://msed.vse.cz/files/2011/Kalina.pdf

  20. Auto-infection by Echinostoma spp. cercariae in Helisoma anceps.

    Science.gov (United States)

    Zimmermann, Michael R; Luth, Kyle E; Esch, Gerald W

    2015-12-01

    Auto-infection is a life history strategy used by many parasitic organisms, including digenetic trematodes. The process of autoinfection most frequently involves the transfer of a life cycle stage of the parasite from one site to another inside the same host, usually accompanied by morphological transformation. Moreover, among trematodes, the stage being transferred may also move from one host to another in completing the life cycle, i.e., an indirect cycle. Echinostoma spp. parasites offer the opportunity to study auto-infection because they utilize gastropods as both first and second intermediate hosts. Rejection of a null model predicting independent infection of first and second intermediate larval stages coupled with the presence of rediae being the best predictor of metacercariae prevalence and intensity suggests that auto-infection by Echinostoma spp. cercariae is occurring in their molluscan hosts. Shell length was also found to be a significant predictor of metacercariae intensity in the snails hosts, but this is most likely attributed to larger snails being more commonly infected with Echinostoma spp. rediae as opposed to an increased likelihood of cercariae infection. Auto-infection as a life history strategy increases transmission success of the parasite, but may also have negative consequences for the parasite that necessitate auto-infection coupled with the release of cercariae to maximize transmission success and host survival. PMID:26408593

  1. 应用VBA技术进行AutoCAD二次开发

    Institute of Scientific and Technical Information of China (English)

    吴业红

    2009-01-01

    AutoCAD制图应用过程中,需要开发一些符合用户需求的AutoCAD工具。VBA是一种对AutoCAD进行二次开发的灵活手段、应用VBA技术控制在AutoCAD环境中绘图,探讨它在AutoCAD二次开发中,VBA程序语句设计的基本步骤、具体实现过程.达到绘制所需要AutoCAD图形的目的.

  2. 关于AutoCAD常用英语词汇的研究

    Institute of Scientific and Technical Information of China (English)

    杨宁飞

    2006-01-01

    使用AutoCAD软件时经常接触到一些英语词汇,掌握这些词汇有助于提高AutoCAD绘图水平,拓展土木工程专业词汇.文章第一部分研究AutoCAD窗口英语词汇;第二部分研究AutoCAD基本命令英语词汇;第三部分研究AutoCAD常用辅助命令英语词汇;最后论述AutoCAD常用英语词汇翻译体会.

  3. Credit Scoring Problem Based on Regression Analysis

    OpenAIRE

    Khassawneh, Bashar Suhil Jad Allah

    2014-01-01

    ABSTRACT: This thesis provides an explanatory introduction to the regression models of data mining and contains basic definitions of key terms in the linear, multiple and logistic regression models. Meanwhile, the aim of this study is to illustrate fitting models for the credit scoring problem using simple linear, multiple linear and logistic regression models and also to analyze the found model functions by statistical tools. Keywords: Data mining, linear regression, logistic regression....

  4. Heteroscedastic transformation cure regression models.

    Science.gov (United States)

    Chen, Chyong-Mei; Chen, Chen-Hsin

    2016-06-30

    Cure models have been applied to analyze clinical trials with cures and age-at-onset studies with nonsusceptibility. Lu and Ying (On semiparametric transformation cure model. Biometrika 2004; 91:331?-343. DOI: 10.1093/biomet/91.2.331) developed a general class of semiparametric transformation cure models, which assumes that the failure times of uncured subjects, after an unknown monotone transformation, follow a regression model with homoscedastic residuals. However, it cannot deal with frequently encountered heteroscedasticity, which may result from dispersed ranges of failure time span among uncured subjects' strata. To tackle the phenomenon, this article presents semiparametric heteroscedastic transformation cure models. The cure status and the failure time of an uncured subject are fitted by a logistic regression model and a heteroscedastic transformation model, respectively. Unlike the approach of Lu and Ying, we derive score equations from the full likelihood for estimating the regression parameters in the proposed model. The similar martingale difference function to their proposal is used to estimate the infinite-dimensional transformation function. Our proposed estimating approach is intuitively applicable and can be conveniently extended to other complicated models when the maximization of the likelihood may be too tedious to be implemented. We conduct simulation studies to validate large-sample properties of the proposed estimators and to compare with the approach of Lu and Ying via the relative efficiency. The estimating method and the two relevant goodness-of-fit graphical procedures are illustrated by using breast cancer data and melanoma data. Copyright © 2016 John Wiley & Sons, Ltd. PMID:26887342

  5. Autocorrelated residuals of robust regression

    Czech Academy of Sciences Publication Activity Database

    Kalina, Jan

    Slaný : Melandrium, 2013 - (Löster, T.; Pavelka, T.), s. 551-560 ISBN 978-80-86175-87-4. [International Days of Statistics and Economics /7./. Prague (CZ), 19.09.2013-21.09.2013] Grant ostatní: GA ČR(CZ) GA13-01930S Institutional support: RVO:67985807 Keywords : linear regression * robust statistics * diagnostics * autocorrelation Subject RIV: BB - Applied Statistics, Operational Research http://msed.vse.cz/files/2013/1-Kalina-Jan-paper.pdf

  6. AutoCAD electrical 2013 for electrical control designers

    CERN Document Server

    Tickoo, Sham; CADCIM Technologies

    2013-01-01

    The AutoCAD Electrical 2013 for Electrical Control Designers textbook has been written to assist the engineering students and the practicing designers learn the application of various AutoCAD Electrical tools and options for creating electrical control designs. After reading this textbook, the users will be able to create professional electrical-control drawings easily and effectively. Moreover, the users will be able to automate various control engineering tasks such as building circuits, numbering wires, creating bills of materials, and many more. The textbook takes the users across a wide spectrum of electrical control drawings through progressive examples and numerous illustrations and exercises, thereby making it an ideal guide for both the novice and the advanced users. Salient Features of the Textbook Consists of 14 chapters that are organized in a pedagogical sequence covering various tools and features of AutoCAD Electrical such as schematic drawings, parametric and non-parametric PLC modules, Circu...

  7. Art of Innovation——Auto Shanghai 2009

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    @@ As one of the important global automotive industry events that are worthiest of being participated in and devoted into in 2009,The 13th International Automobile & Manufacturing Technology Exhibition ("Auto Shanghai 2009") themed on "Art of Innovation" will take place April.2228,2009 at the Shanghai New International Exhibition Centre with a brand new vision. According to latest statistics report of China Association of Automobile Manufacturers,the automotive industry keeps on the fast development track.The output and sales volume of 2007 are increased by 22.02% and 21.84%,respectively,which both achieve the new highest record in history while the output is expected to exceed 10 million in 2008.China is expected to become the second largest auto manufacturing country and second largest auto market in the world.

  8. Finite Element Meshes Auto-Generation for the Welted Bifurcation

    Institute of Scientific and Technical Information of China (English)

    YUANMei; LIYa-ping

    2004-01-01

    In this paper, firstly, a mathematical model for a specific kind of welted bifurcation is established, the parametric equation for the intersecting curve is resulted in. Secondly, a method for partitioning finite element meshes of the welted bifurcation is put forward, its main idea is that developing the main pipe surface and the branch pipe surface respectively, dividing meshes on each developing plane and obtaining meshes points, then transforming their plane coordinates into space coordinates. Finally, an applied program for finite element meshes auto-generation is simply introduced, which adopt ObjectARX technique and its running result can be shown in AutoCAD. The meshes generated in AutoCAD can be exported conveniently to most of finite element analysis soft wares, and the finite element computing result can satisfy the engineering precision requirement.

  9. A Generalized Framework for Auto-tuning Stencil Computations

    Energy Technology Data Exchange (ETDEWEB)

    Kamil, Shoaib; Chan, Cy; Williams, Samuel; Oliker, Leonid; Shalf, John; Howison, Mark; Bethel, E. Wes; Prabhat,

    2009-05-01

    This work introduces a generalized framework for automatically tuning stencil computations to achieve superior performance on a broad range of multicore architectures. Stencil (nearest-neighbor) based kernels constitute the core of many important scientific applications involving block-structured grids. Auto-tuning systems search over optimization strategies to find the combination of tunable parameters that maximizes computational efficiency for a given algorithmic kernel. Although the auto-tuning strategy has been successfully applied to libraries, generalized stencil kernels are not amenable to packaging as libraries. Studied kernels in this work include both memory-bound kernels as well as a computation-bound bilateral filtering kernel. We introduce a generalized stencil auto-tuning framework that takes a straightforward Fortran expression of a stencil kernel and automatically generates tuned implementations of the kernel in C or Fortran to achieve performance portability across diverse computer architectures.

  10. [Auto-immune liver diseases and their treatment].

    Science.gov (United States)

    Hess, J; Thorens, J; Pache, I; Troillet, F X; Moradpour, D; Gonvers, J J

    2005-01-19

    There are three main types of auto-immune liver disease, auto-immune hepatitis, primary biliary cirrhosis and primary sclerosing cholangitis. In the case of auto-immune hepatitis, prednisone therapy, with or without azathioprine, can improve quality of life and halt progression to cirrhosis. If there is no response or if the therapy is poorly tolerated, mycophenolate mofetil or cyclosporin should be considered. Ursodeoxycholic acid (UDCA), at a dosage of 13 to 15 mg/kg/day slows the progression of fibrosis in patients with primary biliary cirrhosis. Pruritus may be treated with cholestyramine, rifampicin or opiate antagonists. Ursodeoxycholic acid at a dosage of 20 to 30 mg/kg/day will slow the evolution of fibrosis. PMID:15770819

  11. Non-contact video-based vital sign monitoring using ambient light and auto-regressive models.

    OpenAIRE

    Tarassenko, L; Villarroel, M; Guazzi, A; Jorge, J; Clifton, DA; Pugh, C.

    2014-01-01

    Remote sensing of the reflectance photoplethysmogram using a video camera typically positioned 1 m away from the patient's face is a promising method for monitoring the vital signs of patients without attaching any electrodes or sensors to them. Most of the papers in the literature on non-contact vital sign monitoring report results on human volunteers in controlled environments. We have been able to obtain estimates of heart rate and respiratory rate and preliminary results on changes in oxy...

  12. Modeling long-term price development by using time-series auto-regression and expert judgments

    OpenAIRE

    Shnyrev, Denis

    2009-01-01

    The objective of the thesis was to create a long term forecast for pine roundwood timber assortment’s price in Finland for the years 2010 until 2020. The forecast’s purpose was to serve as helpful information in strategic business planning of Oy Karelkon LTD throughout the next decade. The theoretical framework for this thesis was based on quantitative forecasting theory and in particular the theory of autoregressive model of order one, or the AR1 model. This model was applied in order t...

  13. Multiatlas segmentation as nonparametric regression.

    Science.gov (United States)

    Awate, Suyash P; Whitaker, Ross T

    2014-09-01

    This paper proposes a novel theoretical framework to model and analyze the statistical characteristics of a wide range of segmentation methods that incorporate a database of label maps or atlases; such methods are termed as label fusion or multiatlas segmentation. We model these multiatlas segmentation problems as nonparametric regression problems in the high-dimensional space of image patches. We analyze the nonparametric estimator's convergence behavior that characterizes expected segmentation error as a function of the size of the multiatlas database. We show that this error has an analytic form involving several parameters that are fundamental to the specific segmentation problem (determined by the chosen anatomical structure, imaging modality, registration algorithm, and label-fusion algorithm). We describe how to estimate these parameters and show that several human anatomical structures exhibit the trends modeled analytically. We use these parameter estimates to optimize the regression estimator. We show that the expected error for large database sizes is well predicted by models learned on small databases. Thus, a few expert segmentations can help predict the database sizes required to keep the expected error below a specified tolerance level. Such cost-benefit analysis is crucial for deploying clinical multiatlas segmentation systems. PMID:24802528

  14. Auto-antibodies and seizures: clinical and EEG findings.

    Science.gov (United States)

    Drazkowski, Joseph; Hoerth, Matthew; Tapsell, Lisa; Noe, Katherine; Shih, Jerry; Sirven, Joseph; Tatum, William O

    2014-03-01

    Epilepsy is a common disorder that may be caused by wide ranging etiologies. Historically a significant number of people with epilepsy have idiopathic epilepsy without a definitive etiology. More recently, auto-antibodies have been discovered to be associated with numerous conditions affecting the nervous system, including epilepsy. With this increased understanding of the potential for immune-based etiologies for epilepsy it is important to recognize the associated EEG patterns in such cases. This report presents the EEG findings in epilepsy patients with one or more auto-antibodies. PMID:24783749

  15. Instant Autodesk AutoCAD 2014 customization with .NET

    CERN Document Server

    Nelson, Tom

    2013-01-01

    Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. An instruction-based guide with examples written in the C# programming language. VB.NET programmers can also take advantage of these examples by using one of the free conversion websites to convert the examples to VB.NET.Clear, step-by-step instructions and complete code examples illustrate the processes, making it easy to develop your own custom AutoCAD tools.This book is perfect if you are interested in customizing AutoCAD 2014 using the .NET API. You should have a basic familiari

  16. Rewetting an auto-wave change of boiling modes

    International Nuclear Information System (INIS)

    One studied heat exchange under auto-wave change of boiling metastable mode over to the stable one. One introduced a classification of boiling curves depending on temperature gradient, flow rate directions and temperature wave motion rate. One advanced the hypothesis according to which the essential change of heat exchange patterns within temperature wave range was caused by boiling local nonequilibrium state. One investigated experimentally heat exchange under water boiling in pipes under auto-wave change of boiling conditions within 3-10 MPa pressure range within wide range of steam contents and mass rates. Paper discusses application possibility of the derived data when simulating emergency conditions in reactor core

  17. Ping-pong auto-zero amplifier with glitch reduction

    Science.gov (United States)

    Larson, Mark R.

    2008-01-22

    A ping-pong amplifier with reduced glitching is described. The ping-pong amplifier includes a nulling amplifier coupled to a switching network. The switching network is used to auto-zero a ping amplifier within a ping-pong amplifier. The nulling amplifier drives the output of a ping amplifier to a proper output voltage level during auto-zeroing of the ping amplifier. By being at a proper output voltage level, glitches associated with transitioning between a ping amplifier and a pong amplifier are reduced or eliminated.

  18. Innovation lab ŠKODA AUTO a.s.

    OpenAIRE

    Prchal, Vojtěch

    2016-01-01

    This bachelor thesis introduces innovation lab issues, mentions actual information about innovation, innovation labs and the process of its realization in co-operation with ŠKODA AUTO a. s. Innovation labs are often a discussed topic in the business world lately and some prestigious companies have been running innovation labs already. According to the position of ŠKODA AUTO a. s. on the market and the absence of realised innovation labs in companies, this bachelor thesis might be benefitial f...

  19. The Last Western Flyer: The Western Auto Century

    OpenAIRE

    Marchman, James

    2004-01-01

    A treasure trove of pictures and history, The Last Western Flyer chronicles one of the most successful small town franchise operations in 20th Century America, Western Auto. It grew from humble beginnings as a penny mailer sent from the kitchen of a Kansas City home to over 5,000 retail outlets under its Circle Arrow signs. Western Auto brought everything from tires, spark plugs, socks, vitamin pills, fishing lures, radios and more, including its famous Western Flyer bikes to America’s major ...

  20. Auto-Clustering using Particle Swarm Optimization and Bacterial Foraging

    DEFF Research Database (Denmark)

    Rutkowski Olesen, Jakob; Cordero, Jorge; Zeng, Yifeng

    2009-01-01

    This paper presents a hybrid approach for clustering based on particle swarm optimization (PSO) and bacteria foraging algorithms (BFA). The new method AutoCPB (Auto-Clustering based on particle bacterial foraging) makes use of autonomous agents whose primary objective is to cluster chunks of data...... by using simplistic collaboration. Inspired by the advances in clustering using particle swarm optimization, we suggest further improvements. Moreover, we gathered standard benchmark datasets and compared our new approach against the standard K-means algorithm, obtaining promising results. Our hybrid...

  1. Tracking high amplitude auto-oscillations with digital Fresnel holograms

    Science.gov (United States)

    Picart, Pascal; Leval, Julien; Piquet, Francis; Boileau, Jean P.; Guimezanes, Thomas; Dalmont, Jean-Pierre

    2007-06-01

    Method for tracking vibrations with high amplitude of several hundreds of micrometers is presented. It is demonstrated that it is possible to reconstruct a synthetic high amplitude deformation of auto-oscillations encoded with digital Fresnel holograms. The setup is applied to the auto-oscillation of a clarinet reed in a synthetic mouth. Tracking of the vibration is performed by using the pressure signal delivered by the mouth. Experimental results show the four steps of the reed movement and especially emphasize the shocks of the reed on the mouthpiece.

  2. Tracking high amplitude auto-oscillations with digital Fresnel holograms.

    Science.gov (United States)

    Picart, Pascal; Leval, Julien; Piquet, Francis; Boileau, Jean P; Guimezanes, Thomas; Dalmont, Jean-Pierre

    2007-06-25

    Method for tracking vibrations with high amplitude of several hundreds of micrometers is presented. It is demonstrated that it is possible to reconstruct a synthetic high amplitude deformation of auto-oscillations encoded with digital Fresnel holograms. The setup is applied to the auto-oscillation of a clarinet reed in a synthetic mouth. Tracking of the vibration is performed by using the pressure signal delivered by the mouth. Experimental results show the four steps of the reed movement and especially emphasize the shocks of the reed on the mouthpiece. PMID:19547155

  3. Measurement of the distribution of auto activation in lucite block

    International Nuclear Information System (INIS)

    Distribution of positron emitters induced through auto activation of 12C(135MeV/u, nominal) in Lucite were measured with coincidence counting technique. A major product was 11C and peaked at near the range of 11C calculated on the basis of energy (11/12) times that of projectiles. Dose dissipated at Bragg peak of the beam estimated to be comparable to the dose used in radiation therapy and auto activation technique can hardly be used for assessment of dose distribution. (author)

  4. Auto-calibration of Systematic Odometry Errors in Mobile Robots

    DEFF Research Database (Denmark)

    Bak, Martin; Larsen, Thomas Dall; Andersen, Nils Axel; Ravn, Ole

    This paper describes the phenomenon of systematic errors in odometry models in mobile robots and looks at various ways of avoiding it by means of auto-calibration. The systematic errors considered are incorrect knowledge of the wheel base and the gains from encoder readings to wheel displacement....... By auto-calibration we mean a standardized procedure which estimates the uncertainties using only on-board equipment such as encoders, an absolute measurement system and filters; no intervention by operator or off-line data processing is necessary. Results are illustrated by a number of simulations...... and experiments on a mobile robot....

  5. Auto-associative segmentation for real-time object recognition in realistic outdoor images

    Science.gov (United States)

    Estevez, Leonardo W.; Kehtarnavaz, Nasser D.

    1998-04-01

    As digital signal processors (DSPs) become more advanced, many real-time recognition problems will be solved with completely integrated solutions. In this paper a methodology which is designed for today's DSP architectures and is capable of addressing applications in real-time color object recognition is presented. The methodology is integrated into a processing structure called raster scan video processing which requires a small amount of memory. The small amount of memory required enables the entire recognition system to be implemented on a single DSP. This auto-associative segmentation approach provides a means for desaturated color images to be segmented. The system is applied to the problem of stop sign recognition is realistically captured outdoor images.

  6. Auto-Gopher: A Wire-Line Rotary-Hammer Ultrasonic Drill

    Science.gov (United States)

    Badescu, Mircea; Sherrit, Stewart; Bao, Xiaogi; Bar-Cohen, Yoseph; Chen, Beck

    2011-01-01

    Developing technologies that would enable NASA to sample rock, soil, and ice by coring, drilling or abrading at a significant depth is of great importance for a large number of in-situ exploration missions as well as for earth applications. Proven techniques to sample Mars subsurface will be critical for future NASA astrobiology missions that will search for records of past and present life on the planet, as well as, the search for water and other resources. A deep corer, called Auto-Gopher, is currently being developed as a joint effort of the JPL's NDEAA laboratory and Honeybee Robotics Corp. The Auto-Gopher is a wire-line rotary-hammer drill that combines rock breaking by hammering using an ultrasonic actuator and cuttings removal by rotating a fluted bit. The hammering mechanism is based on the Ultrasonic/Sonic Drill/Corer (USDC) that has been developed as an adaptable tool for many of drilling and coring applications. The USDC uses an intermediate free-flying mass to transform the high frequency vibrations of the horn tip into a sonic hammering of a drill bit. The USDC concept was used in a previous task to develop an Ultrasonic/Sonic Ice Gopher. The lessons learned from testing the ice gopher were implemented into the design of the Auto-Gopher by inducing a rotary motion onto the fluted coring bit. A wire-line version of such a system would allow penetration of significant depth without a large increase in mass. A laboratory version of the corer was developed in the NDEAA lab to determine the design and drive parameters of the integrated system. The design configuration lab version of the design and fabrication and preliminary testing results are presented in this paper

  7. The U.S. Auto Industry Under Duress: Fit, or Finished?

    OpenAIRE

    John Kwoka

    2009-01-01

    A great debate has emerged over the causes of the auto industry’s collapse, the rationale for government intervention, and the effects of competition between government owned and private auto companies.

  8. 基于AutoCAD的建筑制图应用分析%Analysis of construction drawing based on AutoCAD

    Institute of Scientific and Technical Information of China (English)

    杨小玉

    2014-01-01

    由于科学技术的迅猛发展,AutoCAD的建筑制图也广泛运用于建筑领域,而且越来越受社会所重视。文章首先简要介绍了AutoCAD在建筑制图中的教学应用,然后介绍了AutoCAD的初始设置应用以及AutoCAD制图的设置应用,最后对AutoCAD在建筑制图中的技巧应用做出了全面的分析。%Because of the rapid development of science and technology,AutoCAD construction drawings are widely used in the construction field,and more and more social attention.This paper briefly introduces theapplication of AutoCAD in the construction of teaching in the drawing,and then introduced the set AutoCAD initialapplication and set the application of AutoCAD drawing,finally has made the comprehensive analysis of the skills used in architectural drawing in AutoCAD.

  9. Academic Integrity and Informational Technology.

    Science.gov (United States)

    Plowman, Travis S.

    2000-01-01

    Considers the impact of information technology on academic integrity. Highlights include machines versus man; honor codes and student cheating; copyrights for digital data; authoring versus writing; intuitive software; and an example and analysis of the use of AutoSummary in Microsoft Word 97 to create a summary of a published article. (Contains…

  10. Adaptive Local Linear Quantile Regression

    Institute of Scientific and Technical Information of China (English)

    Yu-nan Su; Mao-zai Tian

    2011-01-01

    In this paper we propose a new method of local linear adaptive smoothing for nonparametric conditional quantile regression. Some theoretical properties of the procedure are investigated. Then we demonstrate the performance of the method on a simulated example and compare it with other methods. The simulation results demonstrate a reasonable performance of our method proposed especially in situations when the underlying image is piecewise linear or can be approximated by such images. Generally speaking, our method outperforms most other existing methods in the sense of the mean square estimation (MSE) and mean absolute estimation (MAE) criteria. The procedure is very stable with respect to increasing noise level and the algorithm can be easily applied to higher dimensional situations.

  11. Prediction, Regression and Critical Realism

    DEFF Research Database (Denmark)

    Næss, Petter

    2004-01-01

    This paper considers the possibility of prediction in land use planning, and the use of statistical research methods in analyses of relationships between urban form and travel behaviour. Influential writers within the tradition of critical realism reject the possibility of predicting social...... of prediction necessary and possible in spatial planning of urban development. Finally, the political implications of positions within theory of science rejecting the possibility of predictions about social phenomena are addressed....... phenomena. This position is fundamentally problematic to public planning. Without at least some ability to predict the likely consequences of different proposals, the justification for public sector intervention into market mechanisms will be frail. Statistical methods like regression analyses are commonly...

  12. Firemní kultura ŠKODA AUTO a.s.

    OpenAIRE

    Davidová, Claudia

    2014-01-01

    The aim of this bachelor thesis is to analyze the corporate culture of SKODA AUTO a. s. The first part of the thesis deals with theoretical knowledge connected with this topic. The second chapter presents the company SKODA AUTO itself. The third part is focused on corporate culture of SKODA AUTO a. s. and their employees. The mainstay of the thesis is the final chapter that interprets results of survey and comes to conclusions about corporate culture of SKODA AUTO a. s.

  13. 利用AutoCAD绘制三角函数的图象

    Institute of Scientific and Technical Information of China (English)

    张赵管

    2014-01-01

    针对AutoCAD使用过程中没有函数曲线绘制命令的问题,结合数学作图给出了在AutoCAD中绘制函数曲线的简便方法,对于AutoCAD的中绘制各类函数曲线有一定的实际意义,拓展了AutoCAD应用范围。

  14. AutoCAD在园林制图中的应用

    Institute of Scientific and Technical Information of China (English)

    刘光辉

    2015-01-01

    编辑和图形绘制功能较为强大的AutoCAD在园林制图中应用较广。本文简要探讨了AutoCAD应用于园林制图的方法,并描述了AutoCAD的应用例子和实际效果,最后指出AutoCAD在园林制图中的缺陷和优势。

  15. Research on remote sensing image pixel attribute data acquisition method in AutoCAD

    Science.gov (United States)

    Liu, Xiaoyang; Sun, Guangtong; Liu, Jun; Liu, Hui

    2013-07-01

    The remote sensing image has been widely used in AutoCAD, but AutoCAD lack of the function of remote sensing image processing. In the paper, ObjectARX was used for the secondary development tool, combined with the Image Engine SDK to realize remote sensing image pixel attribute data acquisition in AutoCAD, which provides critical technical support for AutoCAD environment remote sensing image processing algorithms.

  16. 中职AutoCAD课程有效教学探索

    Institute of Scientific and Technical Information of China (English)

    刘远林

    2011-01-01

    本文针对中职AutoCAD课程传统教学中存在的问题,结合笔者的AutoCAD教学经验,就如何有效提高AutoCAD课程的教学质量进行了一番探析,以使中职毕业生的AutoCAD水平达到用人单位的要求。

  17. 高职院校AutoCAD教学方法研究

    Institute of Scientific and Technical Information of China (English)

    杨謦

    2011-01-01

    高职院校AutoCAD课程的教师要积极探索有效的教学方法,改进AutoCAD教学效果,培养学生的专业能力.本文分析了AutoCAD教学现状,开发了有效的AutoCAD教学方法。

  18. AutoCAD在建筑领域中的应用

    Institute of Scientific and Technical Information of China (English)

    赵迎

    2008-01-01

    掌握AutoCAD是从事建筑设计工作的基本要求,AutoCAD技术在建筑领域中应用的特点是:精确、快速、效率高。AutoCAD技术在建筑设计的一般步骤同手绘大致相同。建筑AutoCAD学习的要点是灵活运用。

  19. Removal of platinum group metals from the used auto catalytic converter

    Directory of Open Access Journals (Sweden)

    A. Fornalczyk

    2009-04-01

    Full Text Available Recycling of platinum group metals from the used auto catalytic converters is profitable from ecological and also economical point of view. This work presents the analysis of the chances of removing the platinum group metals (PGM from the used auto catalytic converters applying pyrometallurgical and hydrometallurgical methods. The characteristics of auto catalytic converter is shown as well the available technologies used for processing the auto catalytic converters are also presented.

  20. Removal of platinum group metals from the used auto catalytic converter

    OpenAIRE

    A. Fornalczyk; M. Saternus

    2009-01-01

    Recycling of platinum group metals from the used auto catalytic converters is profitable from ecological and also economical point of view. This work presents the analysis of the chances of removing the platinum group metals (PGM) from the used auto catalytic converters applying pyrometallurgical and hydrometallurgical methods. The characteristics of auto catalytic converter is shown as well the available technologies used for processing the auto catalytic converters are also presented.

  1. Time series analysis using semiparametric regression on oil palm production

    Science.gov (United States)

    Yundari, Pasaribu, U. S.; Mukhaiyar, U.

    2016-04-01

    This paper presents semiparametric kernel regression method which has shown its flexibility and easiness in mathematical calculation, especially in estimating density and regression function. Kernel function is continuous and it produces a smooth estimation. The classical kernel density estimator is constructed by completely nonparametric analysis and it is well reasonable working for all form of function. Here, we discuss about parameter estimation in time series analysis. First, we consider the parameters are exist, then we use nonparametrical estimation which is called semiparametrical. The selection of optimum bandwidth is obtained by considering the approximation of Mean Integrated Square Root Error (MISE).

  2. Auto-correlation analysis of ocean surface wind vectors

    Indian Academy of Sciences (India)

    Abhijit Sarkar; Sujit Basu; A K Varma; Jignesh Kshatriya

    2002-09-01

    The nature of the inherent temporal variability of surface winds is analyzed by comparison of winds obtained through different measurement methods. In this work, an auto-correlation analysis of a time series data of surface winds measured in situ by a deep water buoy in the Indian Ocean has been carried out. Hourly time series data available for 240 hours in the month of May, 1999 were subjected to an auto-correlation analysis. The analysis indicates an exponential fall of the auto- correlation in the first few hours with a decorrelation time scale of about 6 hours. For a meaningful comparison between satellite derived products and in situ data, satellite data acquired at different time intervals should be used with appropriate `weights', rather than treating the data as concurrent in time. This paper presents a scheme for temporal weighting using the auto-correlation analysis. These temporal `weights' can potentially improve the root mean square (rms) deviation between satellite and in situ measurements. A case study using the TRMM Microwave Imager (TMI) and Indian Ocean buoy wind speed data resulted in an improvement of about 10%.

  3. A Minimal Six-Point Auto-Calibration Algorithm

    OpenAIRE

    Martyushev, Evgeniy

    2013-01-01

    A non-iterative auto-calibration algorithm is presented. It deals with a minimal set of six scene points in three views taken by a camera with fixed but unknown intrinsic parameters. Calibration is based on the image correspondences only. The algorithm is implemented and validated on synthetic image data.

  4. Auto-calibration of Systematic Odometry Errors in Mobile Robots

    DEFF Research Database (Denmark)

    Bak, Martin; Larsen, Thomas Dall; Andersen, Nils Axel; Ravn, Ole

    This paper describes the phenomenon of systematic errors in odometry models in mobile robots and looks at various ways of avoiding it by means of auto-calibration. The systematic errors considered are incorrect knowledge of the wheel base and the gains from encoder readings to wheel displacement...... and experiments on a mobile robot....

  5. Fra form-Z til AutoCad

    DEFF Research Database (Denmark)

    Jensen, Henrik

    2003-01-01

    Dette kursus er lavet for at forberede de studerende til deres tegnestuepraktik, og dets indhold er planlagt i samarbejde med tegnestuerne. I 2003 var form-Z Arkitektskolens grundlæggende CAD-program; men på tegnestuerne arbejde man med AutoCad. Kurset er opbygget over CAD Clasic skabelonen (se min...

  6. Auto-Tutorial Instruction in Entomology: Principles of Entomology (Orders).

    Science.gov (United States)

    Minnick, D. R.; Steele, K. L.

    Auto-tutorial instruction was compared to traditional lecture instruction in a university entomology course. In seven consecutive terms, undergraduate students enrolled in an introductory entomology course were divided into two groups: Group I received only lecture instruction on insect orders, while Group II was dismissed for three consecutive…

  7. Careers in Auto Racing: Work in the Fast Lane

    Science.gov (United States)

    Lawhorn, William

    2009-01-01

    Long before most people had seen an automobile, thrill-seekers across the globe were driving cars competitively. The speed of racecars has accelerated steadily, as has the popularity of the sport. In public opinion polls of sports popularity, in fact, auto racing consistently finishes near the top. Racecar drivers may be the star of their event,…

  8. A New Technique for CCD Camera Auto-Calibration

    Institute of Scientific and Technical Information of China (English)

    Xiaodong Zhang; Changku Sun; Zhixiong Wang; Wei Wei

    2003-01-01

    A novel feature-round-based coplanar drone for the CCD camera auto-calibration is designed. Based on the ellipse similarity, an ellipse recognition algorithm is proposed. The experiment indicates the calibration error is less than 0.4 pixel.

  9. The 4th China International (Syria) Auto Exhibiton Tour

    Institute of Scientific and Technical Information of China (English)

    Liu Jinliang; Bai Yifeng

    2006-01-01

    @@ On April 23, 2006,the Opening Cer emony of "Foton Cup" the Fourth China International (Syria) Auto Exhibition Tour (CIAET) was held in Damascus. Syrian Minister of Economy and Trade, Director of Syrian Chamber of Commerce, Iraqi Ambassador to Syria, Chinese Ambassador to Syria, Counsellor of the Economic and Commercial Counsellor's Office of the Embassy of P. R. China in Syria attended the ceremony.

  10. 47 CFR 80.307 - Compulsory use of radiotelegraph auto alarm.

    Science.gov (United States)

    2010-10-01

    ... 47 Telecommunication 5 2010-10-01 2010-10-01 false Compulsory use of radiotelegraph auto alarm. 80.307 Section 80.307 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) SAFETY AND SPECIAL... Safety Watches § 80.307 Compulsory use of radiotelegraph auto alarm. The radiotelegraph auto...

  11. Auto Body Welding 2 (Course Outline), Automotive Body Repair and Refinishing 1: 9033.04.

    Science.gov (United States)

    Dade County Public Schools, Miami, FL.

    The 90-hour course is a foundation quinmester course in welding for the auto body repairman. The outline consists of seven blocks of instruction (orientation, 6 hours; auto body oxyacetylene welding, 10 hours; electric arc welding equipment, 6 hours; auto body electric arc welding, 8 hours; position welding, 40 hours; electric spot welders, 16…

  12. RANDOM WEIGHTING METHOD FOR CENSORED REGRESSION MODEL

    Institute of Scientific and Technical Information of China (English)

    ZHAO Lincheng; FANG Yixin

    2004-01-01

    Rao and Zhao (1992) used random weighting method to derive the approximate distribution of the M-estimator in linear regression model. In this paper we extend the result to the censored regression model (or censored "Tobit" model).

  13. Gaussian process regression analysis for functional data

    CERN Document Server

    Shi, Jian Qing

    2011-01-01

    Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed covariates of functional and scalar variables.Covering the basics of Gaussian process regression, the first several chapters discuss functional data analysis, theoretical aspects based on the asymptotic properties of Gaussian process regression models, and new methodological developments for high dime

  14. In-plane Auto-Parametric Vibration of Inclined Cables under Random Transverse Excitation

    Institute of Scientific and Technical Information of China (English)

    WANG Bo; ZHANG Hai-long; XU Feng; GUO Cui-cui

    2008-01-01

    In-plane auto-parametric stochastic vibration of inclined cables subjected to Gaussian white noise in transverse bridge orientation is investigated. Based on Newton's laws of motion and Galerkin's modal truncation principle, the influences of geometry nonlinearity induced by sag and large displacement of cables and the initial equilibrium state are taken into account. Meanwhile, the three-dimensional non-linear differential equations of inclined cables for coupling vibration are deduced, equivalent stochastic linearization method is applied to derive the 1A-dimensional first-order nonlinear differential equations of state vectors, and the Runge-Kutta integration method is utilized to obtain the root mean square (RMS) response. Results show that when the transverse random excitation imposed on the stayed cable exceeds a critical value, the in-plane transverse vibration of the cable are excited due to the auto-parametric nonlinear coupling, and the critical value of random excitation increases with the damping ratio. In this motion, the cable response possesses non-stationary characteristics, even though the loading keeps stationary.

  15. Standards for Standardized Logistic Regression Coefficients

    Science.gov (United States)

    Menard, Scott

    2011-01-01

    Standardized coefficients in logistic regression analysis have the same utility as standardized coefficients in linear regression analysis. Although there has been no consensus on the best way to construct standardized logistic regression coefficients, there is now sufficient evidence to suggest a single best approach to the construction of a…

  16. Multilevel Parallelization of AutoDock 4.2

    Directory of Open Access Journals (Sweden)

    Norgan Andrew P

    2011-04-01

    Full Text Available Abstract Background Virtual (computational screening is an increasingly important tool for drug discovery. AutoDock is a popular open-source application for performing molecular docking, the prediction of ligand-receptor interactions. AutoDock is a serial application, though several previous efforts have parallelized various aspects of the program. In this paper, we report on a multi-level parallelization of AutoDock 4.2 (mpAD4. Results Using MPI and OpenMP, AutoDock 4.2 was parallelized for use on MPI-enabled systems and to multithread the execution of individual docking jobs. In addition, code was implemented to reduce input/output (I/O traffic by reusing grid maps at each node from docking to docking. Performance of mpAD4 was examined on two multiprocessor computers. Conclusions Using MPI with OpenMP multithreading, mpAD4 scales with near linearity on the multiprocessor systems tested. In situations where I/O is limiting, reuse of grid maps reduces both system I/O and overall screening time. Multithreading of AutoDock's Lamarkian Genetic Algorithm with OpenMP increases the speed of execution of individual docking jobs, and when combined with MPI parallelization can significantly reduce the execution time of virtual screens. This work is significant in that mpAD4 speeds the execution of certain molecular docking workloads and allows the user to optimize the degree of system-level (MPI and node-level (OpenMP parallelization to best fit both workloads and computational resources.

  17. Regression modeling methods, theory, and computation with SAS

    CERN Document Server

    Panik, Michael

    2009-01-01

    Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs.The text presents the popular ordinary least squares (OLS) approach before introducing many alternative regression methods. It covers nonparametric regression, logistic regression (including Poisson regression), Bayesian regression, robust regression, fuzzy regression, random coefficients regression,

  18. Nonparametric instrumental regression with non-convex constraints

    Science.gov (United States)

    Grasmair, M.; Scherzer, O.; Vanhems, A.

    2013-03-01

    This paper considers the nonparametric regression model with an additive error that is dependent on the explanatory variables. As is common in empirical studies in epidemiology and economics, it also supposes that valid instrumental variables are observed. A classical example in microeconomics considers the consumer demand function as a function of the price of goods and the income, both variables often considered as endogenous. In this framework, the economic theory also imposes shape restrictions on the demand function, such as integrability conditions. Motivated by this illustration in microeconomics, we study an estimator of a nonparametric constrained regression function using instrumental variables by means of Tikhonov regularization. We derive rates of convergence for the regularized model both in a deterministic and stochastic setting under the assumption that the true regression function satisfies a projected source condition including, because of the non-convexity of the imposed constraints, an additional smallness condition.

  19. Nonparametric instrumental regression with non-convex constraints

    International Nuclear Information System (INIS)

    This paper considers the nonparametric regression model with an additive error that is dependent on the explanatory variables. As is common in empirical studies in epidemiology and economics, it also supposes that valid instrumental variables are observed. A classical example in microeconomics considers the consumer demand function as a function of the price of goods and the income, both variables often considered as endogenous. In this framework, the economic theory also imposes shape restrictions on the demand function, such as integrability conditions. Motivated by this illustration in microeconomics, we study an estimator of a nonparametric constrained regression function using instrumental variables by means of Tikhonov regularization. We derive rates of convergence for the regularized model both in a deterministic and stochastic setting under the assumption that the true regression function satisfies a projected source condition including, because of the non-convexity of the imposed constraints, an additional smallness condition. (paper)

  20. Functional Regression for Quasar Spectra

    CERN Document Server

    Ciollaro, Mattia; Freeman, Peter; Genovese, Christopher; Lei, Jing; O'Connell, Ross; Wasserman, Larry

    2014-01-01

    The Lyman-alpha forest is a portion of the observed light spectrum of distant galactic nuclei which allows us to probe remote regions of the Universe that are otherwise inaccessible. The observed Lyman-alpha forest of a quasar light spectrum can be modeled as a noisy realization of a smooth curve that is affected by a `damping effect' which occurs whenever the light emitted by the quasar travels through regions of the Universe with higher matter concentration. To decode the information conveyed by the Lyman-alpha forest about the matter distribution, we must be able to separate the smooth `continuum' from the noise and the contribution of the damping effect in the quasar light spectra. To predict the continuum in the Lyman-alpha forest, we use a nonparametric functional regression model in which both the response and the predictor variable (the smooth part of the damping-free portion of the spectrum) are function-valued random variables. We demonstrate that the proposed method accurately predicts the unobserv...

  1. Harmonic regression and scale stability.

    Science.gov (United States)

    Lee, Yi-Hsuan; Haberman, Shelby J

    2013-10-01

    Monitoring a very frequently administered educational test with a relatively short history of stable operation imposes a number of challenges. Test scores usually vary by season, and the frequency of administration of such educational tests is also seasonal. Although it is important to react to unreasonable changes in the distributions of test scores in a timely fashion, it is not a simple matter to ascertain what sort of distribution is really unusual. Many commonly used approaches for seasonal adjustment are designed for time series with evenly spaced observations that span many years and, therefore, are inappropriate for data from such educational tests. Harmonic regression, a seasonal-adjustment method, can be useful in monitoring scale stability when the number of years available is limited and when the observations are unevenly spaced. Additional forms of adjustments can be included to account for variability in test scores due to different sources of population variations. To illustrate, real data are considered from an international language assessment. PMID:24092490

  2. Spontaneous regression of a congenital melanocytic nevus

    Directory of Open Access Journals (Sweden)

    Amiya Kumar Nath

    2011-01-01

    Full Text Available Congenital melanocytic nevus (CMN may rarely regress which may also be associated with a halo or vitiligo. We describe a 10-year-old girl who presented with CMN on the left leg since birth, which recently started to regress spontaneously with associated depigmentation in the lesion and at a distant site. Dermoscopy performed at different sites of the regressing lesion demonstrated loss of epidermal pigments first followed by loss of dermal pigments. Histopathology and Masson-Fontana stain demonstrated lymphocytic infiltration and loss of pigment production in the regressing area. Immunohistochemistry staining (S100 and HMB-45, however, showed that nevus cells were present in the regressing areas.

  3. Regression with Sparse Approximations of Data

    DEFF Research Database (Denmark)

    Noorzad, Pardis; Sturm, Bob L.

    2012-01-01

    We propose sparse approximation weighted regression (SPARROW), a method for local estimation of the regression function that uses sparse approximation with a dictionary of measurements. SPARROW estimates the regression function at a point with a linear combination of a few regressands selected by a...... sparse approximation of the point in terms of the regressors. We show SPARROW can be considered a variant of \\(k\\)-nearest neighbors regression (\\(k\\)-NNR), and more generally, local polynomial kernel regression. Unlike \\(k\\)-NNR, however, SPARROW can adapt the number of regressors to use based on the...

  4. auto-estima: estudo de caso

    Directory of Open Access Journals (Sweden)

    Dilcio Dantas Guedes

    2008-01-01

    Full Text Available Case study of a young adult´s (22 psychotherapy experience during an emotional crisis prompted by the breakup of a love relationship. The psychotherapy process was developed over two hundred sessions with follow up. Data was collected using notes from the sessions, the Coopersmith self-steem inventory, the Beck Depression Inventory and a final questionnaire on depression (DSMIV. We assumed that the more emotional expressions of acceptance about his psychological condition were affirmed, the higher his self-steem levels would be, and the more autonomous behaviours experienced, the lower the levels of depression he would present. Results indicated that client maintained his responsibility and existential perceptions and improved awareness about his emotional insecurity as well as identifying external reasons for his model of love relationship. Thus, he perceived himself to be in progressive contact with his somatic symptoms, understanding and integrating them into his way of being in the world. Such comprehension and learning increased his sense of responsibility for himself and his own existential projects, authentically integrating them into his psychopathology.

  5. AutoCAD技术在建筑设计中的应用

    Institute of Scientific and Technical Information of China (English)

    赵卫利; 魏峰

    2013-01-01

    本文阐述了AutoCAD技术在建筑设计中的应用情况及AutoCAD在建筑设计中功能应用,随着AutoCAD技术的发展,人们越来越熟练的使用AutoCAD进行建筑图纸的设计,AutoCAD让建筑图样更准确,让建筑施工更精细,更精确。

  6. Auto-correlation Properties of Scattering Light in Ultrasound-modulated Random Media

    Institute of Scientific and Technical Information of China (English)

    ZHANG Xiqin; XING Da; LIU Ying; MA Shining

    2001-01-01

    In this paper, the auto-correlation properties of scattering light in random media modulated by ultrasound were studied. The expression of temporal auto-correlation function of scattering light amplitude in the ultrasound-modulated media was presented. The results show that the auto-correlation function is modulated as the ultrasound is introduced into the media and the modulation amplitude decays with correlation time. The influences of ultrasound amplitude, Brownian diffusion coefficient, scattering and absorption coefficients on auto-correlation function were discussed. The auto-correlation imaging of an object hidden in random media was also studied by the use of Monte Carlo simulations.

  7. Computer-Aided Robot Trajectory Auto-generation Strategy in Thermal Spraying

    Science.gov (United States)

    Cai, Zhenhua; Liang, Hong; Quan, Shuhai; Deng, Sihao; Zeng, Chunnian; Zhang, Feng

    2015-10-01

    This paper is concerned with a new methodology which is designed to auto-generate the robotic trajectory for thermal spraying process. Based on it, a software package named Thermal Spray Toolkit is developed and integrated in the main frame of off-line programming software RobotStudio™ (Product of ABB Company, Sweden). This toolkit implements the robotic trajectory planning in an interactive manner between RobotStudio™ and the finite element analysis software (FES). It allows rearranging the imported node index created on the surface of workpiece by FES and in turn generating the thermal spraying needed robot trajectories. Several parameters in thermal spraying, such as scanning step and torch-substrate relative velocity which have major influence on the coating deposition, are considered in the trajectory generation process. Experiment is carried out to check the reliability of the generated robot trajectory.

  8. An auto-ranging photodiode preamplifier with 114 dB dynamic range

    International Nuclear Information System (INIS)

    In many applications, the charge input from a photodiode sensor must be digitized to a high resolution, for example, in x-ray imaging devices. A low noise photodiode preamplifier integrated circuit with auto-ranging gain capability has been designed, fabricated, and tested. When connected to a 25 pF input capacitance, the four-channel device has an input referred noise below 0.5 fC, which is just 3 dB above the minimum kTC noise. The preamp chip is designed to handle a full-scale charge input of 210 pC and has a 114 dB dynamic range. The device achieves a linearity specification of 0.01% of input reading ±0.25 ppm of full scale with a sample period of 1 ms. The chip consumes 135 mW and is 5.8 mm x 7.4 mm in size

  9. Developing a multi stage mathematical production management model for auto industry

    Directory of Open Access Journals (Sweden)

    M.Ghorbani Salanghooch

    2013-01-01

    Full Text Available In this paper, we establish an integrated mathematical production management model based on five parts insisted of finished goods production in production sites, inventory control of finished goods in production and distribution facilities, semi-finished goods production in producer’s facilities, inventory control of raw materials in production sites and Inventory control of semi-finished products. The main goal of developed model is to minimize total cost of company in the mentioned parts. Finally, the model is validated with 7 real-world case studies from auto-industry in one of the largest Iranian car producer company, Iran Khodro co and the empirical results are illustrated at the end of the paper.

  10. Long-term behavior of bituminized waste: modelling of auto-irradiation and leaching

    International Nuclear Information System (INIS)

    During interim storage, the main evolution factor of the bituminized wastes is radiolysis under auto-irradiation, while in deep disposal conditions, after radioactive decrease, site resaturation with water, and container corrosion, the main factor of evolution is leaching by water. This paper presents two models, designed to describe respectively radiolytic gas evacuation, and bituminized waste alteration under leaching. The first model is based on the integration of simple descriptions of gas production by radiolysis, gas diffusive transport, bubble nucleation and ripening, and bubble transport under buoyancy and viscosity. The second model is based on simple descriptions of water adsorption and solubilization at the surface, water diffusion into the matrix, water uptake by the most soluble salts, salt grain swelling and alteration of matrix waterproofing, diffusive transport of salts out of the waste. Copyright (2001) Material Research Society

  11. Theory of Regression Apple Professional Cooperation Organization Research

    OpenAIRE

    Ouyang Bin

    2013-01-01

    In view of the enterprise ecological apple manor a variety of problems of existence, put forward to the enterprise management transformation, achieve enterprise, collective, individual integrated operation management and the use of regression mathematical model on apple professional cooperation organization analysis. Through the example, Apple professional economic cooperation organization innovation model of the input output ratio than the rural economic cooperation organization is much high...

  12. Transpiration of glasshouse rose crops: evaluation of regression models

    OpenAIRE

    Baas, R.; Rijssel, van, E.

    2006-01-01

    Regression models of transpiration (T) based on global radiation inside the greenhouse (G), with or without energy input from heating pipes (Eh) and/or vapor pressure deficit (VPD) were parameterized. Therefore, data on T, G, temperatures from air, canopy and heating pipes, and VPD from both a lysimeter experiment and from a cut rose grower were analyzed. Based on daily integrals, all T models showed good fits due to the dominant effect of global radiation G (solar + supplementary radiation) ...

  13. The skills of assistant architectural decoration design and engineering drafting with AutoCAD%AutoCAD辅助建筑装饰设计及工程制图的技巧

    Institute of Scientific and Technical Information of China (English)

    邵乘胜

    2008-01-01

    详细的叙述了AutoCAD的绘图步骤,AutoCAD的精确绘图设置,AutoCAD的个性化命令定制,AutoCAD中块和图层的作用,AutoCAD文件的垃圾清理及应用中的一些弊病等,以期能给日常的学习和工作带来帮助和提高.

  14. Controladores auto-ajustables para una clase de sistemas bilineales

    Directory of Open Access Journals (Sweden)

    Anna Patete

    2011-06-01

    Full Text Available En este trabajo, se propone un algoritmo auto-ajustable implícito basado en el criterio de varianza mínima generalizada para la estabilización de una clase de sistemas bilineales. La estabilidad del algoritmo propuesto es demostrada usando una función de Lyapunov y la estrategia de control por superficie deslizante. El algoritmo auto-ajustable propuesto es aplicado a una planta piloto térmica para evaluar su desempeño. / In this paper, a self-tuning algorithm based on the generalized minimum variance criterion is proposed for the stabilization of a class of bilinear systems. Using a Lyapunov function and the sliding mode control approach, the stability of the proposed algorithm is proven. The proposed self-tuning algorithm is applied to a simulated example to evaluate its performance.

  15. Numerical Analysis of Auto-ignition of Ethanol

    Directory of Open Access Journals (Sweden)

    Vasudevan Raghavan

    2011-09-01

    Full Text Available Renewable and alternative fuels such as ethanol find application in several combustion devices. Fundamental characteristics of these fuels in terms of ignition and burning rate are to be understood in order to use them in these applications. In this study, a numerical analysis of auto ignition characteristics of ethanol is presented. Opposed flow configuration, in which fuel and nitrogen emerges from the bottom duct and hot air flows down from the top duct, has been employed. Commercial CFD software FLUENT is used in the simulations. Global single step mechanism is used to model kinetics. For various mass fractions of fuel, the air temperature at which auto-ignition occurs has been recorded. The numerical results are compared with the experimental data available in literature.

  16. Error Estimation for the Linearized Auto-Localization Algorithm

    Directory of Open Access Journals (Sweden)

    Fernando Seco

    2012-02-01

    Full Text Available The Linearized Auto-Localization (LAL algorithm estimates the position of beacon nodes in Local Positioning Systems (LPSs, using only the distance measurements to a mobile node whose position is also unknown. The LAL algorithm calculates the inter-beacon distances, used for the estimation of the beacons’ positions, from the linearized trilateration equations. In this paper we propose a method to estimate the propagation of the errors of the inter-beacon distances obtained with the LAL algorithm, based on a first order Taylor approximation of the equations. Since the method depends on such approximation, a confidence parameter τ is defined to measure the reliability of the estimated error. Field evaluations showed that by applying this information to an improved weighted-based auto-localization algorithm (WLAL, the standard deviation of the inter-beacon distances can be improved by more than 30% on average with respect to the original LAL method.

  17. Biometric feature extraction using local fractal auto-correlation

    International Nuclear Information System (INIS)

    Image texture feature extraction is a classical means for biometric recognition. To extract effective texture feature for matching, we utilize local fractal auto-correlation to construct an effective image texture descriptor. Three main steps are involved in the proposed scheme: (i) using two-dimensional Gabor filter to extract the texture features of biometric images; (ii) calculating the local fractal dimension of Gabor feature under different orientations and scales using fractal auto-correlation algorithm; and (iii) linking the local fractal dimension of Gabor feature under different orientations and scales into a big vector for matching. Experiments and analyses show our proposed scheme is an efficient biometric feature extraction approach. (condensed matter: structural, mechanical, and thermal properties)

  18. GIS u AutoCAD Map 3D-u

    OpenAIRE

    Glasinović, Frane

    2011-01-01

    AutoCAD Map 3D prvenstveno je CAD alat s dodatnim mogućnostima za izradu GIS sustava. Čine ga skup alata koji omogućavaju jednostavniji rad do vrlo dinamične i interaktivne karte i to s već ugrađenim prostornim analizama. AutoCAD Map se oslanja na snagu CAD-a pri uređivanju podataka, što je ujedno i njegova najveća prednost u odnosu na ostale GIS programe na tržištu. Pripremanje podataka te njihova distribucija i vizualizacija u istoj aplikaciji čine ga idealnim izborom. Rad sa različitim izv...

  19. Globalisation, Crisis and Industrial Relations in the Indian Auto Industry

    DEFF Research Database (Denmark)

    D'Costa, Anthony

    2011-01-01

    This paper examines how the pattern of investment in the Indian auto industry has changed. The author argues that the industrial relations climate has been an important determinant of that pattern. Industrial relations climate is politically and institutionally determined hence any shift in the...... broader capital-labour relation in the wider global economy due to globalisation is argued to be tempered by India's particular national and local institutions governing industrial relations, unionisation, the specific trajectory of the Indian auto industry, and economic development strategies. When much...... of the global industry is reeling under the financial crisis, India's industry has been expanding. However, the power of workers has been declining in conflict-ridden states just as globalisation and deregulation have hastened capital flight to more pro-business regions. The paper draws some policy...

  20. The effect of scintillation in valve auto-oscillators (1961)

    International Nuclear Information System (INIS)

    In a previous article was analysed the possible sources of fluctuations in a valve auto-oscillator having an oscillating circuit connected to the grid. In particular the shot-noise of the valve has been introduced into the theory by including in the grid circuit an imaginary resistance RL as shown in diagram I. We propose to use this model here for studying the effect of the abnormal background noise of the valve in the low frequency domain (scintillation effect) on the normal working of the auto-oscillator. We will thus bridge the gap between the phenomenological theory of M. Buyle-Bodin, which is only valid for the slow constituents of the scintillation noise, and our previous general theory. A delicate point will thus be resolved, in a region of the spectrum having a great importance in hertzian spectrometry. (author)